{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# National level Covid-19 Analysis \n",
    "\n",
    "This notebook utilizes [data kindly made available](https://github.com/CSSEGISandData/COVID-19) by the [Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)](https://systems.jhu.edu/) at and used for their \n",
    "[Visual Dashboad](https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6).  It provides a temporal perspective that complements their excellent geospatial presentation.  \n",
    "\n",
    "The thing about exponentials with a measurable daily growth rate is they change so fast.  With cases increasing 25% per day,a week means a factor of 5 and a month a factor of a thousand.\n",
    "\n",
    "\n",
    "* Repo for this and other notebnooks at: [https://github.com/deculler/covid19](https://github.com/deculler/covid19)\n",
    "* Website for this repo: [https://deculler.github.io/covid19/](https://deculler.github.io/covid19/)\n",
    "\n",
    "## View and run the notebooks\n",
    "\n",
    "* [View the notebook with nbviewer](https://nbviewer.jupyter.org/github/deculler/covid19/blob/master/US-covid19-JHU.ipynb)\n",
    "* [Launch it on mybinder.org](https://mybinder.org/v2/gh/deculler/covid19/master?filepath=work/US-covid19-JHU.ipynb)\n",
    "* [@UCB on datahub.berkeley.edu](http://datahub.berkeley.edu/user-redirect/interact?account=deculler&repo=covid19&branch=master&path=US-covid19-JHU.ipynb)\n",
    "  \n",
    "## Quick links to sections\n",
    "\n",
    "* [Worldwide picture](#sectionWorldWide)\n",
    "* [Cases Worldwide by Country](#sectionCases)\n",
    "* [Deaths Worldwide by Country](#sectionDeaths)\n",
    "* [Growth trends by Counry](#sectionGrowth)\n",
    "* [Cases one Country](#sectionOneState)\n",
    "* [Projection of cases in one Country](#sectionProj)\n",
    "* [Projection of deaths in one Country](#sectionProjDeath)\n",
    "\n",
    "For dataframes it uses Datascience Tables (for reference see http://data8.org/datascience/tables.html) developed for introductory courses as UCB."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.15.0'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# HIDDEN\n",
    "# This useful nonsense should just go at the top of your notebook.\n",
    "from datascience import *\n",
    "%matplotlib inline\n",
    "#%matplotlib notebook\n",
    "import matplotlib.pyplot as plots\n",
    "import numpy as np\n",
    "import scipy\n",
    "plots.style.use('fivethirtyeight')\n",
    "plots.rc('lines', linewidth=2, color='r')\n",
    "from ipywidgets import interact\n",
    "import ipywidgets as widgets\n",
    "# datascience version number of last run of this notebook\n",
    "version.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "if not '.' in sys.path:\n",
    "    sys.path.append(\".\")\n",
    "\n",
    "# Timeseries derivative of the Tables Datafram module\n",
    "from timetable import TimeTable\n",
    "\n",
    "# Tools used throughout the notebook\n",
    "from covid import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def label_val(trend, x, val):\n",
    "    x_val = trend.get(x, trend.time_column)\n",
    "    y_val = trend.get(x, val)\n",
    "    plots.text(x_val, y_val, \"{:,}\".format(int(y_val)))\n",
    "\n",
    "def add_lines(trend, col, ymax, ymin, lines):\n",
    "    skip = (ymax - ymin) / len(lines) \n",
    "    y = ymax\n",
    "    my = np.nanmin(trend[col])\n",
    "    for (date, text) in lines :\n",
    "        plots.text(date, y, text)\n",
    "        plots.plot([date, date], [my, y], \":\")\n",
    "        y = y - skip\n",
    "        \n",
    "def proj_trend(trend, col, start=7, end=0, dist=14):\n",
    "    last_day = trend.last(trend.time_column)\n",
    "    fit_start = inc_day(last_day, -start)\n",
    "    end = min(end, start)\n",
    "    fit_end = inc_day(last_day, -end)\n",
    "    proj_prog(trend, col, dist, fit_start=fit_start, fit_end=fit_end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def by_state_cases(raw_region):\n",
    "    \"\"\"Aggregate state level data from the raw source\"\"\"\n",
    "    res = raw_region.drop(['Province/State', 'Lat','Long']).group('Country/Region', sum)\n",
    "    \n",
    "    for lbl in res.labels[1:] :\n",
    "        res.relabel(lbl, format_day(lbl[:-4]))\n",
    "    return res\n",
    "\n",
    "def by_state_deaths(raw_region):\n",
    "    \"\"\"Aggregate state level data from the raw source\"\"\"\n",
    "    res = raw_region.drop(['Province/State', 'Lat','Long']).group('Country/Region', sum)\n",
    "    \n",
    "    for lbl in res.labels[1:] :\n",
    "        res.relabel(lbl, format_day(lbl[:-4]))\n",
    "    return res\n",
    "\n",
    "def get_countries(raw_world):\n",
    "    \"\"\"Country level metadata from the raw source\"\"\"\n",
    "    res = raw_world.select(['Country/Region', 'Lat', 'Long']).group('Country/Region', np.mean)\n",
    "    for lbl in res.labels[1:] :\n",
    "        res.relabel(lbl, lbl[:-5])\n",
    "    return res"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pull Data\n",
    "\n",
    "URL for https://github.com/nytimes/covid-19-data/blob/master/us-states.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#confirmedURL = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv\"\n",
    "worldCasesURL = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\" \n",
    "\n",
    "worldDeathsURL = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv\"\n",
    "#recoveredURL = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Recovered.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_states_cases = Table.read_table(worldCasesURL)\n",
    "raw_states_deaths = Table.read_table(worldDeathsURL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Province/State</th> <th>Country/Region</th> <th>Lat</th> <th>Long</th> <th>1/22/20</th> <th>1/23/20</th> <th>1/24/20</th> <th>1/25/20</th> <th>1/26/20</th> <th>1/27/20</th> <th>1/28/20</th> <th>1/29/20</th> <th>1/30/20</th> <th>1/31/20</th> <th>2/1/20</th> <th>2/2/20</th> <th>2/3/20</th> <th>2/4/20</th> <th>2/5/20</th> <th>2/6/20</th> <th>2/7/20</th> <th>2/8/20</th> <th>2/9/20</th> <th>2/10/20</th> <th>2/11/20</th> <th>2/12/20</th> <th>2/13/20</th> <th>2/14/20</th> <th>2/15/20</th> <th>2/16/20</th> <th>2/17/20</th> <th>2/18/20</th> <th>2/19/20</th> <th>2/20/20</th> <th>2/21/20</th> <th>2/22/20</th> <th>2/23/20</th> <th>2/24/20</th> <th>2/25/20</th> <th>2/26/20</th> <th>2/27/20</th> <th>2/28/20</th> <th>2/29/20</th> <th>3/1/20</th> <th>3/2/20</th> <th>3/3/20</th> <th>3/4/20</th> <th>3/5/20</th> <th>3/6/20</th> <th>3/7/20</th> <th>3/8/20</th> <th>3/9/20</th> <th>3/10/20</th> <th>3/11/20</th> <th>3/12/20</th> <th>3/13/20</th> <th>3/14/20</th> <th>3/15/20</th> <th>3/16/20</th> <th>3/17/20</th> <th>3/18/20</th> <th>3/19/20</th> <th>3/20/20</th> <th>3/21/20</th> <th>3/22/20</th> <th>3/23/20</th> <th>3/24/20</th> <th>3/25/20</th> <th>3/26/20</th> <th>3/27/20</th> <th>3/28/20</th> <th>3/29/20</th> <th>3/30/20</th> <th>3/31/20</th> <th>4/1/20</th> <th>4/2/20</th> <th>4/3/20</th> <th>4/4/20</th> <th>4/5/20</th> <th>4/6/20</th> <th>4/7/20</th> <th>4/8/20</th> <th>4/9/20</th> <th>4/10/20</th> <th>4/11/20</th> <th>4/12/20</th> <th>4/13/20</th> <th>4/14/20</th> <th>4/15/20</th> <th>4/16/20</th> <th>4/17/20</th> <th>4/18/20</th> <th>4/19/20</th> <th>4/20/20</th> <th>4/21/20</th> <th>4/22/20</th> <th>4/23/20</th> <th>4/24/20</th> <th>4/25/20</th> <th>4/26/20</th> <th>4/27/20</th> <th>4/28/20</th> <th>4/29/20</th> <th>4/30/20</th> <th>5/1/20</th> <th>5/2/20</th> <th>5/3/20</th> <th>5/4/20</th> <th>5/5/20</th> <th>5/6/20</th> <th>5/7/20</th> <th>5/8/20</th> <th>5/9/20</th> <th>5/10/20</th> <th>5/11/20</th> <th>5/12/20</th> <th>5/13/20</th> <th>5/14/20</th> <th>5/15/20</th> <th>5/16/20</th> <th>5/17/20</th> <th>5/18/20</th> <th>5/19/20</th> <th>5/20/20</th> <th>5/21/20</th> <th>5/22/20</th> <th>5/23/20</th> <th>5/24/20</th> <th>5/25/20</th> <th>5/26/20</th> <th>5/27/20</th> <th>5/28/20</th> <th>5/29/20</th> <th>5/30/20</th> <th>5/31/20</th> <th>6/1/20</th> <th>6/2/20</th> <th>6/3/20</th> <th>6/4/20</th> <th>6/5/20</th> <th>6/6/20</th> <th>6/7/20</th> <th>6/8/20</th> <th>6/9/20</th> <th>6/10/20</th> <th>6/11/20</th> <th>6/12/20</th> <th>6/13/20</th> <th>6/14/20</th> <th>6/15/20</th> <th>6/16/20</th> <th>6/17/20</th> <th>6/18/20</th> <th>6/19/20</th> <th>6/20/20</th> <th>6/21/20</th> <th>6/22/20</th> <th>6/23/20</th> <th>6/24/20</th> <th>6/25/20</th> <th>6/26/20</th> <th>6/27/20</th> <th>6/28/20</th> <th>6/29/20</th> <th>6/30/20</th> <th>7/1/20</th> <th>7/2/20</th> <th>7/3/20</th> <th>7/4/20</th> <th>7/5/20</th> <th>7/6/20</th> <th>7/7/20</th> <th>7/8/20</th> <th>7/9/20</th> <th>7/10/20</th> <th>7/11/20</th> <th>7/12/20</th> <th>7/13/20</th> <th>7/14/20</th> <th>7/15/20</th> <th>7/16/20</th> <th>7/17/20</th> <th>7/18/20</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>nan                         </td> <td>Afghanistan        </td> <td>33.9391 </td> <td>67.71   </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>1      </td> <td>1      </td> <td>1      </td> <td>2      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4     </td> <td>6     </td> <td>6     </td> <td>7     </td> <td>7     </td> <td>11    </td> <td>14    </td> <td>14    </td> <td>15    </td> <td>15     </td> <td>18     </td> <td>18     </td> <td>21     </td> <td>23     </td> <td>25     </td> <td>30     </td> <td>30     </td> <td>30     </td> <td>33     </td> <td>36     </td> <td>36     </td> <td>40     </td> <td>42     </td> <td>43     </td> <td>47     </td> <td>50     </td> <td>57     </td> <td>58     </td> <td>60     </td> <td>64     </td> <td>68    </td> <td>72    </td> <td>85    </td> <td>90    </td> <td>95    </td> <td>104   </td> <td>106   </td> <td>109   </td> <td>115   </td> <td>120    </td> <td>122    </td> <td>127    </td> <td>132    </td> <td>136    </td> <td>153    </td> <td>168    </td> <td>169    </td> <td>173    </td> <td>178    </td> <td>187    </td> <td>193    </td> <td>205    </td> <td>216    </td> <td>218    </td> <td>219    </td> <td>220    </td> <td>227    </td> <td>235    </td> <td>246    </td> <td>249    </td> <td>257    </td> <td>265   </td> <td>270   </td> <td>294   </td> <td>300   </td> <td>309   </td> <td>327   </td> <td>357   </td> <td>369   </td> <td>384   </td> <td>405    </td> <td>426    </td> <td>446    </td> <td>451    </td> <td>471    </td> <td>478    </td> <td>491    </td> <td>504    </td> <td>546    </td> <td>548    </td> <td>569    </td> <td>581    </td> <td>598    </td> <td>618    </td> <td>639    </td> <td>675    </td> <td>683    </td> <td>703    </td> <td>721    </td> <td>733    </td> <td>746    </td> <td>774   </td> <td>807   </td> <td>819   </td> <td>826   </td> <td>864   </td> <td>898   </td> <td>920   </td> <td>936   </td> <td>957   </td> <td>971    </td> <td>994    </td> <td>1010   </td> <td>1012   </td> <td>1048   </td> <td>1094   </td> <td>1113   </td> <td>1147   </td> <td>1164   </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>nan                         </td> <td>Albania            </td> <td>41.1533 </td> <td>20.1683 </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>1      </td> <td>1      </td> <td>1      </td> <td>1      </td> <td>1      </td> <td>1      </td> <td>1      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>4      </td> <td>5      </td> <td>5      </td> <td>6      </td> <td>8      </td> <td>10     </td> <td>10     </td> <td>11     </td> <td>15     </td> <td>15    </td> <td>16    </td> <td>17    </td> <td>20    </td> <td>20    </td> <td>21    </td> <td>22    </td> <td>22    </td> <td>23    </td> <td>23     </td> <td>23     </td> <td>23     </td> <td>23     </td> <td>24     </td> <td>25     </td> <td>26     </td> <td>26     </td> <td>26     </td> <td>26     </td> <td>26     </td> <td>26     </td> <td>27     </td> <td>27     </td> <td>27     </td> <td>27     </td> <td>28     </td> <td>28     </td> <td>30     </td> <td>30     </td> <td>31     </td> <td>31    </td> <td>31    </td> <td>31    </td> <td>31    </td> <td>31    </td> <td>31    </td> <td>31    </td> <td>31    </td> <td>31    </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>31     </td> <td>32     </td> <td>32     </td> <td>33     </td> <td>33     </td> <td>33     </td> <td>33     </td> <td>33     </td> <td>33     </td> <td>33    </td> <td>33    </td> <td>33    </td> <td>33    </td> <td>33    </td> <td>34    </td> <td>34    </td> <td>34    </td> <td>34    </td> <td>34     </td> <td>35     </td> <td>36     </td> <td>36     </td> <td>36     </td> <td>36     </td> <td>37     </td> <td>38     </td> <td>39     </td> <td>42     </td> <td>43     </td> <td>44     </td> <td>44     </td> <td>45     </td> <td>47     </td> <td>49     </td> <td>51     </td> <td>53     </td> <td>55     </td> <td>58     </td> <td>62     </td> <td>65    </td> <td>69    </td> <td>72    </td> <td>74    </td> <td>76    </td> <td>79    </td> <td>81    </td> <td>83    </td> <td>83    </td> <td>85     </td> <td>89     </td> <td>93     </td> <td>95     </td> <td>97     </td> <td>101    </td> <td>104    </td> <td>107    </td> <td>111    </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>nan                         </td> <td>Algeria            </td> <td>28.0339 </td> <td>1.6596  </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>1      </td> <td>2      </td> <td>3      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>7      </td> <td>9      </td> <td>11     </td> <td>15     </td> <td>17     </td> <td>17     </td> <td>19     </td> <td>21     </td> <td>25     </td> <td>26     </td> <td>29     </td> <td>31     </td> <td>35     </td> <td>44     </td> <td>58    </td> <td>86    </td> <td>105   </td> <td>130   </td> <td>152   </td> <td>173   </td> <td>193   </td> <td>205   </td> <td>235   </td> <td>256    </td> <td>275    </td> <td>293    </td> <td>313    </td> <td>326    </td> <td>336    </td> <td>348    </td> <td>364    </td> <td>367    </td> <td>375    </td> <td>384    </td> <td>392    </td> <td>402    </td> <td>407    </td> <td>415    </td> <td>419    </td> <td>425    </td> <td>432    </td> <td>437    </td> <td>444    </td> <td>450    </td> <td>453   </td> <td>459   </td> <td>463   </td> <td>465   </td> <td>470   </td> <td>476   </td> <td>483   </td> <td>488   </td> <td>494   </td> <td>502    </td> <td>507    </td> <td>515    </td> <td>522    </td> <td>529    </td> <td>536    </td> <td>542    </td> <td>548    </td> <td>555    </td> <td>561    </td> <td>568    </td> <td>575    </td> <td>582    </td> <td>592    </td> <td>600    </td> <td>609    </td> <td>617    </td> <td>623    </td> <td>630    </td> <td>638    </td> <td>646    </td> <td>653    </td> <td>661   </td> <td>667   </td> <td>673   </td> <td>681   </td> <td>690   </td> <td>698   </td> <td>707   </td> <td>715   </td> <td>724   </td> <td>732    </td> <td>741    </td> <td>751    </td> <td>760    </td> <td>767    </td> <td>777    </td> <td>788    </td> <td>799    </td> <td>811    </td> <td>825    </td> <td>837    </td> <td>845    </td> <td>852    </td> <td>861    </td> <td>869    </td> <td>878    </td> <td>885    </td> <td>892    </td> <td>897    </td> <td>905    </td> <td>912    </td> <td>920   </td> <td>928   </td> <td>937   </td> <td>946   </td> <td>952   </td> <td>959   </td> <td>968   </td> <td>978   </td> <td>988   </td> <td>996    </td> <td>1004   </td> <td>1011   </td> <td>1018   </td> <td>1028   </td> <td>1040   </td> <td>1052   </td> <td>1057   </td> <td>1068   </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>nan                         </td> <td>Andorra            </td> <td>42.5063 </td> <td>1.5218  </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>1      </td> <td>1      </td> <td>1      </td> <td>1      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>6      </td> <td>8      </td> <td>12     </td> <td>14    </td> <td>15    </td> <td>16    </td> <td>17    </td> <td>18    </td> <td>21    </td> <td>22    </td> <td>23    </td> <td>25    </td> <td>26     </td> <td>26     </td> <td>29     </td> <td>29     </td> <td>31     </td> <td>33     </td> <td>33     </td> <td>35     </td> <td>35     </td> <td>36     </td> <td>37     </td> <td>37     </td> <td>37     </td> <td>37     </td> <td>40     </td> <td>40     </td> <td>40     </td> <td>40     </td> <td>41     </td> <td>42     </td> <td>42     </td> <td>43    </td> <td>44    </td> <td>45    </td> <td>45    </td> <td>46    </td> <td>46    </td> <td>47    </td> <td>47    </td> <td>48    </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51    </td> <td>51    </td> <td>51    </td> <td>51    </td> <td>51    </td> <td>51    </td> <td>51    </td> <td>51    </td> <td>51    </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>51     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52    </td> <td>52    </td> <td>52    </td> <td>52    </td> <td>52    </td> <td>52    </td> <td>52    </td> <td>52    </td> <td>52    </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td> <td>52     </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>nan                         </td> <td>Angola             </td> <td>-11.2027</td> <td>17.8739 </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>4     </td> <td>4     </td> <td>4     </td> <td>4     </td> <td>4     </td> <td>4     </td> <td>4     </td> <td>4     </td> <td>4     </td> <td>4      </td> <td>5      </td> <td>5      </td> <td>6      </td> <td>6      </td> <td>6      </td> <td>6      </td> <td>7      </td> <td>8      </td> <td>8      </td> <td>9      </td> <td>9      </td> <td>10     </td> <td>10     </td> <td>10     </td> <td>10     </td> <td>10     </td> <td>10     </td> <td>11     </td> <td>11     </td> <td>13     </td> <td>15    </td> <td>17    </td> <td>18    </td> <td>19    </td> <td>19    </td> <td>19    </td> <td>21    </td> <td>21    </td> <td>22    </td> <td>23     </td> <td>23     </td> <td>26     </td> <td>26     </td> <td>26     </td> <td>27     </td> <td>28     </td> <td>29     </td> <td>29     </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>nan                         </td> <td>Antigua and Barbuda</td> <td>17.0608 </td> <td>-61.7964</td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>1     </td> <td>2     </td> <td>2     </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>nan                         </td> <td>Argentina          </td> <td>-38.4161</td> <td>-63.6167</td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>1     </td> <td>1     </td> <td>1      </td> <td>1      </td> <td>1      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>3      </td> <td>3      </td> <td>4      </td> <td>4      </td> <td>4      </td> <td>6      </td> <td>8      </td> <td>9      </td> <td>13     </td> <td>18     </td> <td>19     </td> <td>23     </td> <td>27     </td> <td>28    </td> <td>36    </td> <td>39    </td> <td>43    </td> <td>44    </td> <td>48    </td> <td>56    </td> <td>63    </td> <td>72    </td> <td>82     </td> <td>83     </td> <td>90     </td> <td>97     </td> <td>102    </td> <td>111    </td> <td>115    </td> <td>123    </td> <td>129    </td> <td>132    </td> <td>136    </td> <td>147    </td> <td>152    </td> <td>165    </td> <td>176    </td> <td>185    </td> <td>192    </td> <td>197    </td> <td>207    </td> <td>214    </td> <td>218    </td> <td>225   </td> <td>237   </td> <td>246   </td> <td>260   </td> <td>264   </td> <td>273   </td> <td>282   </td> <td>293   </td> <td>300   </td> <td>305    </td> <td>314    </td> <td>319    </td> <td>329    </td> <td>353    </td> <td>356    </td> <td>363    </td> <td>373    </td> <td>382    </td> <td>393    </td> <td>403    </td> <td>416    </td> <td>433    </td> <td>445    </td> <td>452    </td> <td>467    </td> <td>484    </td> <td>500    </td> <td>508    </td> <td>520    </td> <td>528    </td> <td>539    </td> <td>556   </td> <td>569   </td> <td>583   </td> <td>608   </td> <td>632   </td> <td>648   </td> <td>664   </td> <td>693   </td> <td>717   </td> <td>735    </td> <td>765    </td> <td>785    </td> <td>815    </td> <td>833    </td> <td>854    </td> <td>878    </td> <td>913    </td> <td>948    </td> <td>979    </td> <td>992    </td> <td>1011   </td> <td>1043   </td> <td>1078   </td> <td>1116   </td> <td>1150   </td> <td>1184   </td> <td>1207   </td> <td>1232   </td> <td>1280   </td> <td>1307   </td> <td>1351  </td> <td>1385  </td> <td>1437  </td> <td>1481  </td> <td>1507  </td> <td>1582  </td> <td>1644  </td> <td>1694  </td> <td>1720  </td> <td>1774   </td> <td>1810   </td> <td>1845   </td> <td>1903   </td> <td>1968   </td> <td>2050   </td> <td>2112   </td> <td>2178   </td> <td>2220   </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>nan                         </td> <td>Armenia            </td> <td>40.0691 </td> <td>45.0382 </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>1      </td> <td>1      </td> <td>1      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>4     </td> <td>7     </td> <td>7     </td> <td>7     </td> <td>7     </td> <td>8     </td> <td>8     </td> <td>9     </td> <td>10    </td> <td>12     </td> <td>13     </td> <td>13     </td> <td>14     </td> <td>16     </td> <td>17     </td> <td>18     </td> <td>19     </td> <td>20     </td> <td>20     </td> <td>22     </td> <td>24     </td> <td>24     </td> <td>24     </td> <td>27     </td> <td>28     </td> <td>28     </td> <td>29     </td> <td>30     </td> <td>30     </td> <td>32     </td> <td>33    </td> <td>33    </td> <td>35    </td> <td>39    </td> <td>40    </td> <td>40    </td> <td>42    </td> <td>43    </td> <td>44    </td> <td>45     </td> <td>46     </td> <td>47     </td> <td>48     </td> <td>49     </td> <td>52     </td> <td>55     </td> <td>60     </td> <td>61     </td> <td>64     </td> <td>67     </td> <td>70     </td> <td>74     </td> <td>77     </td> <td>81     </td> <td>87     </td> <td>91     </td> <td>98     </td> <td>113    </td> <td>120    </td> <td>127    </td> <td>131    </td> <td>139   </td> <td>158   </td> <td>170   </td> <td>176   </td> <td>183   </td> <td>190   </td> <td>200   </td> <td>211   </td> <td>217   </td> <td>227    </td> <td>245    </td> <td>258    </td> <td>264    </td> <td>269    </td> <td>285    </td> <td>293    </td> <td>302    </td> <td>309    </td> <td>319    </td> <td>332    </td> <td>350    </td> <td>360    </td> <td>372    </td> <td>386    </td> <td>397    </td> <td>410    </td> <td>421    </td> <td>426    </td> <td>433    </td> <td>443    </td> <td>453   </td> <td>459   </td> <td>469   </td> <td>477   </td> <td>484   </td> <td>491   </td> <td>503   </td> <td>521   </td> <td>535   </td> <td>546    </td> <td>559    </td> <td>565    </td> <td>573    </td> <td>581    </td> <td>592    </td> <td>607    </td> <td>620    </td> <td>631    </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Australian Capital Territory</td> <td>Australia          </td> <td>-35.4735</td> <td>149.012 </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>1      </td> <td>1      </td> <td>1     </td> <td>1     </td> <td>1     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2     </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3     </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td> <td>3      </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>New South Wales             </td> <td>Australia          </td> <td>-33.8688</td> <td>151.209 </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0      </td> <td>0     </td> <td>0     </td> <td>0     </td> <td>1     </td> <td>1     </td> <td>1     </td> <td>1     </td> <td>2     </td> <td>2     </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>2      </td> <td>4      </td> <td>5      </td> <td>5      </td> <td>6      </td> <td>6      </td> <td>6      </td> <td>6      </td> <td>7      </td> <td>7      </td> <td>7      </td> <td>7      </td> <td>8      </td> <td>8      </td> <td>8      </td> <td>8      </td> <td>9     </td> <td>10    </td> <td>12    </td> <td>12    </td> <td>16    </td> <td>18    </td> <td>21    </td> <td>21    </td> <td>21    </td> <td>22     </td> <td>23     </td> <td>24     </td> <td>25     </td> <td>25     </td> <td>25     </td> <td>25     </td> <td>26     </td> <td>26     </td> <td>26     </td> <td>26     </td> <td>26     </td> <td>26     </td> <td>31     </td> <td>33     </td> <td>33     </td> <td>34     </td> <td>34     </td> <td>39     </td> <td>40     </td> <td>41     </td> <td>41    </td> <td>42    </td> <td>42    </td> <td>43    </td> <td>44    </td> <td>44    </td> <td>44    </td> <td>44    </td> <td>44    </td> <td>44     </td> <td>44     </td> <td>45     </td> <td>45     </td> <td>45     </td> <td>45     </td> <td>45     </td> <td>46     </td> <td>46     </td> <td>47     </td> <td>47     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48    </td> <td>48    </td> <td>48    </td> <td>48    </td> <td>48    </td> <td>48    </td> <td>48    </td> <td>48    </td> <td>48    </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>48     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49    </td> <td>49    </td> <td>49    </td> <td>49    </td> <td>49    </td> <td>49    </td> <td>49    </td> <td>49    </td> <td>49    </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49     </td> <td>49     </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (256 rows omitted)</p>"
      ],
      "text/plain": [
       "Province/State               | Country/Region      | Lat      | Long     | 1/22/20 | 1/23/20 | 1/24/20 | 1/25/20 | 1/26/20 | 1/27/20 | 1/28/20 | 1/29/20 | 1/30/20 | 1/31/20 | 2/1/20 | 2/2/20 | 2/3/20 | 2/4/20 | 2/5/20 | 2/6/20 | 2/7/20 | 2/8/20 | 2/9/20 | 2/10/20 | 2/11/20 | 2/12/20 | 2/13/20 | 2/14/20 | 2/15/20 | 2/16/20 | 2/17/20 | 2/18/20 | 2/19/20 | 2/20/20 | 2/21/20 | 2/22/20 | 2/23/20 | 2/24/20 | 2/25/20 | 2/26/20 | 2/27/20 | 2/28/20 | 2/29/20 | 3/1/20 | 3/2/20 | 3/3/20 | 3/4/20 | 3/5/20 | 3/6/20 | 3/7/20 | 3/8/20 | 3/9/20 | 3/10/20 | 3/11/20 | 3/12/20 | 3/13/20 | 3/14/20 | 3/15/20 | 3/16/20 | 3/17/20 | 3/18/20 | 3/19/20 | 3/20/20 | 3/21/20 | 3/22/20 | 3/23/20 | 3/24/20 | 3/25/20 | 3/26/20 | 3/27/20 | 3/28/20 | 3/29/20 | 3/30/20 | 3/31/20 | 4/1/20 | 4/2/20 | 4/3/20 | 4/4/20 | 4/5/20 | 4/6/20 | 4/7/20 | 4/8/20 | 4/9/20 | 4/10/20 | 4/11/20 | 4/12/20 | 4/13/20 | 4/14/20 | 4/15/20 | 4/16/20 | 4/17/20 | 4/18/20 | 4/19/20 | 4/20/20 | 4/21/20 | 4/22/20 | 4/23/20 | 4/24/20 | 4/25/20 | 4/26/20 | 4/27/20 | 4/28/20 | 4/29/20 | 4/30/20 | 5/1/20 | 5/2/20 | 5/3/20 | 5/4/20 | 5/5/20 | 5/6/20 | 5/7/20 | 5/8/20 | 5/9/20 | 5/10/20 | 5/11/20 | 5/12/20 | 5/13/20 | 5/14/20 | 5/15/20 | 5/16/20 | 5/17/20 | 5/18/20 | 5/19/20 | 5/20/20 | 5/21/20 | 5/22/20 | 5/23/20 | 5/24/20 | 5/25/20 | 5/26/20 | 5/27/20 | 5/28/20 | 5/29/20 | 5/30/20 | 5/31/20 | 6/1/20 | 6/2/20 | 6/3/20 | 6/4/20 | 6/5/20 | 6/6/20 | 6/7/20 | 6/8/20 | 6/9/20 | 6/10/20 | 6/11/20 | 6/12/20 | 6/13/20 | 6/14/20 | 6/15/20 | 6/16/20 | 6/17/20 | 6/18/20 | 6/19/20 | 6/20/20 | 6/21/20 | 6/22/20 | 6/23/20 | 6/24/20 | 6/25/20 | 6/26/20 | 6/27/20 | 6/28/20 | 6/29/20 | 6/30/20 | 7/1/20 | 7/2/20 | 7/3/20 | 7/4/20 | 7/5/20 | 7/6/20 | 7/7/20 | 7/8/20 | 7/9/20 | 7/10/20 | 7/11/20 | 7/12/20 | 7/13/20 | 7/14/20 | 7/15/20 | 7/16/20 | 7/17/20 | 7/18/20\n",
       "nan                          | Afghanistan         | 33.9391  | 67.71    | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 1       | 1       | 1       | 2       | 4       | 4       | 4       | 4       | 4       | 4       | 4      | 6      | 6      | 7      | 7      | 11     | 14     | 14     | 15     | 15      | 18      | 18      | 21      | 23      | 25      | 30      | 30      | 30      | 33      | 36      | 36      | 40      | 42      | 43      | 47      | 50      | 57      | 58      | 60      | 64      | 68     | 72     | 85     | 90     | 95     | 104    | 106    | 109    | 115    | 120     | 122     | 127     | 132     | 136     | 153     | 168     | 169     | 173     | 178     | 187     | 193     | 205     | 216     | 218     | 219     | 220     | 227     | 235     | 246     | 249     | 257     | 265    | 270    | 294    | 300    | 309    | 327    | 357    | 369    | 384    | 405     | 426     | 446     | 451     | 471     | 478     | 491     | 504     | 546     | 548     | 569     | 581     | 598     | 618     | 639     | 675     | 683     | 703     | 721     | 733     | 746     | 774    | 807    | 819    | 826    | 864    | 898    | 920    | 936    | 957    | 971     | 994     | 1010    | 1012    | 1048    | 1094    | 1113    | 1147    | 1164\n",
       "nan                          | Albania             | 41.1533  | 20.1683  | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 1       | 1       | 1       | 1       | 1       | 1       | 1       | 2       | 2       | 2       | 2       | 2       | 4       | 5       | 5       | 6       | 8       | 10      | 10      | 11      | 15      | 15     | 16     | 17     | 20     | 20     | 21     | 22     | 22     | 23     | 23      | 23      | 23      | 23      | 24      | 25      | 26      | 26      | 26      | 26      | 26      | 26      | 27      | 27      | 27      | 27      | 28      | 28      | 30      | 30      | 31      | 31     | 31     | 31     | 31     | 31     | 31     | 31     | 31     | 31     | 31      | 31      | 31      | 31      | 31      | 31      | 31      | 31      | 31      | 31      | 31      | 31      | 31      | 31      | 32      | 32      | 33      | 33      | 33      | 33      | 33      | 33      | 33     | 33     | 33     | 33     | 33     | 34     | 34     | 34     | 34     | 34      | 35      | 36      | 36      | 36      | 36      | 37      | 38      | 39      | 42      | 43      | 44      | 44      | 45      | 47      | 49      | 51      | 53      | 55      | 58      | 62      | 65     | 69     | 72     | 74     | 76     | 79     | 81     | 83     | 83     | 85      | 89      | 93      | 95      | 97      | 101     | 104     | 107     | 111\n",
       "nan                          | Algeria             | 28.0339  | 1.6596   | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 1       | 2       | 3       | 4       | 4       | 4       | 7       | 9       | 11      | 15      | 17      | 17      | 19      | 21      | 25      | 26      | 29      | 31      | 35      | 44      | 58     | 86     | 105    | 130    | 152    | 173    | 193    | 205    | 235    | 256     | 275     | 293     | 313     | 326     | 336     | 348     | 364     | 367     | 375     | 384     | 392     | 402     | 407     | 415     | 419     | 425     | 432     | 437     | 444     | 450     | 453    | 459    | 463    | 465    | 470    | 476    | 483    | 488    | 494    | 502     | 507     | 515     | 522     | 529     | 536     | 542     | 548     | 555     | 561     | 568     | 575     | 582     | 592     | 600     | 609     | 617     | 623     | 630     | 638     | 646     | 653     | 661    | 667    | 673    | 681    | 690    | 698    | 707    | 715    | 724    | 732     | 741     | 751     | 760     | 767     | 777     | 788     | 799     | 811     | 825     | 837     | 845     | 852     | 861     | 869     | 878     | 885     | 892     | 897     | 905     | 912     | 920    | 928    | 937    | 946    | 952    | 959    | 968    | 978    | 988    | 996     | 1004    | 1011    | 1018    | 1028    | 1040    | 1052    | 1057    | 1068\n",
       "nan                          | Andorra             | 42.5063  | 1.5218   | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 1       | 1       | 1       | 1       | 3       | 3       | 3       | 6       | 8       | 12      | 14     | 15     | 16     | 17     | 18     | 21     | 22     | 23     | 25     | 26      | 26      | 29      | 29      | 31      | 33      | 33      | 35      | 35      | 36      | 37      | 37      | 37      | 37      | 40      | 40      | 40      | 40      | 41      | 42      | 42      | 43     | 44     | 45     | 45     | 46     | 46     | 47     | 47     | 48     | 48      | 48      | 48      | 49      | 49      | 49      | 51      | 51      | 51      | 51      | 51      | 51      | 51      | 51      | 51      | 51      | 51      | 51      | 51      | 51      | 51      | 51      | 51     | 51     | 51     | 51     | 51     | 51     | 51     | 51     | 51     | 51      | 51      | 51      | 51      | 51      | 51      | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52     | 52     | 52     | 52     | 52     | 52     | 52     | 52     | 52     | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52      | 52\n",
       "nan                          | Angola              | -11.2027 | 17.8739  | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 2       | 2       | 2       | 2      | 2      | 2      | 2      | 2      | 2      | 2      | 2      | 2      | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2      | 2      | 2      | 2      | 2      | 2      | 2      | 2      | 2      | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 3       | 3       | 3       | 3       | 3       | 4       | 4       | 4       | 4       | 4       | 4       | 4       | 4       | 4       | 4      | 4      | 4      | 4      | 4      | 4      | 4      | 4      | 4      | 4       | 5       | 5       | 6       | 6       | 6       | 6       | 7       | 8       | 8       | 9       | 9       | 10      | 10      | 10      | 10      | 10      | 10      | 11      | 11      | 13      | 15     | 17     | 18     | 19     | 19     | 19     | 21     | 21     | 22     | 23      | 23      | 26      | 26      | 26      | 27      | 28      | 29      | 29\n",
       "nan                          | Antigua and Barbuda | 17.0608  | -61.7964 | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 1      | 2      | 2      | 2       | 2       | 2       | 2       | 2       | 2       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3\n",
       "nan                          | Argentina           | -38.4161 | -63.6167 | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 1      | 1      | 1       | 1       | 1       | 2       | 2       | 2       | 2       | 2       | 2       | 3       | 3       | 4       | 4       | 4       | 6       | 8       | 9       | 13      | 18      | 19      | 23      | 27      | 28     | 36     | 39     | 43     | 44     | 48     | 56     | 63     | 72     | 82      | 83      | 90      | 97      | 102     | 111     | 115     | 123     | 129     | 132     | 136     | 147     | 152     | 165     | 176     | 185     | 192     | 197     | 207     | 214     | 218     | 225    | 237    | 246    | 260    | 264    | 273    | 282    | 293    | 300    | 305     | 314     | 319     | 329     | 353     | 356     | 363     | 373     | 382     | 393     | 403     | 416     | 433     | 445     | 452     | 467     | 484     | 500     | 508     | 520     | 528     | 539     | 556    | 569    | 583    | 608    | 632    | 648    | 664    | 693    | 717    | 735     | 765     | 785     | 815     | 833     | 854     | 878     | 913     | 948     | 979     | 992     | 1011    | 1043    | 1078    | 1116    | 1150    | 1184    | 1207    | 1232    | 1280    | 1307    | 1351   | 1385   | 1437   | 1481   | 1507   | 1582   | 1644   | 1694   | 1720   | 1774    | 1810    | 1845    | 1903    | 1968    | 2050    | 2112    | 2178    | 2220\n",
       "nan                          | Armenia             | 40.0691  | 45.0382  | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 1       | 1       | 1       | 3       | 3       | 3       | 4      | 7      | 7      | 7      | 7      | 8      | 8      | 9      | 10     | 12      | 13      | 13      | 14      | 16      | 17      | 18      | 19      | 20      | 20      | 22      | 24      | 24      | 24      | 27      | 28      | 28      | 29      | 30      | 30      | 32      | 33     | 33     | 35     | 39     | 40     | 40     | 42     | 43     | 44     | 45      | 46      | 47      | 48      | 49      | 52      | 55      | 60      | 61      | 64      | 67      | 70      | 74      | 77      | 81      | 87      | 91      | 98      | 113     | 120     | 127     | 131     | 139    | 158    | 170    | 176    | 183    | 190    | 200    | 211    | 217    | 227     | 245     | 258     | 264     | 269     | 285     | 293     | 302     | 309     | 319     | 332     | 350     | 360     | 372     | 386     | 397     | 410     | 421     | 426     | 433     | 443     | 453    | 459    | 469    | 477    | 484    | 491    | 503    | 521    | 535    | 546     | 559     | 565     | 573     | 581     | 592     | 607     | 620     | 631\n",
       "Australian Capital Territory | Australia           | -35.4735 | 149.012  | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 1       | 1       | 1      | 1      | 1      | 2      | 2      | 2      | 2      | 2      | 2      | 2       | 2       | 2       | 2       | 2       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3      | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3       | 3\n",
       "New South Wales              | Australia           | -33.8688 | 151.209  | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0      | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0       | 0      | 0      | 0      | 1      | 1      | 1      | 1      | 2      | 2      | 2       | 2       | 2       | 2       | 2       | 2       | 2       | 4       | 5       | 5       | 6       | 6       | 6       | 6       | 7       | 7       | 7       | 7       | 8       | 8       | 8       | 8       | 9      | 10     | 12     | 12     | 16     | 18     | 21     | 21     | 21     | 22      | 23      | 24      | 25      | 25      | 25      | 25      | 26      | 26      | 26      | 26      | 26      | 26      | 31      | 33      | 33      | 34      | 34      | 39      | 40      | 41      | 41     | 42     | 42     | 43     | 44     | 44     | 44     | 44     | 44     | 44      | 44      | 45      | 45      | 45      | 45      | 45      | 46      | 46      | 47      | 47      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48     | 48     | 48     | 48     | 48     | 48     | 48     | 48     | 48     | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 48      | 49      | 49      | 49      | 49      | 49      | 49      | 49      | 49     | 49     | 49     | 49     | 49     | 49     | 49     | 49     | 49     | 49      | 49      | 49      | 49      | 49      | 49      | 49      | 49      | 49\n",
       "... (256 rows omitted)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_states_deaths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "cases_by_state = by_state_cases(raw_states_cases)\n",
    "deaths_by_state = by_state_deaths(raw_states_deaths)\n",
    "\n",
    "cases = TimeTable.transpose(cases_by_state, 'Country/Region', time_col='date', time_less = less_day, time_inc = inc_day)\n",
    "deaths = TimeTable.transpose(deaths_by_state, 'Country/Region', time_col='date', time_less = less_day, time_inc = inc_day)\n",
    "regions = cases.categories\n",
    "\n",
    "# Construct estimate of active cases for each country\n",
    "active = cases.select(cases.time_column)\n",
    "for region in cases.categories:\n",
    "    active[region] = cases.extract(region).trend()['active']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'07/18/20'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Last day of rerported data\n",
    "last_day = cases['date'][-1]\n",
    "last_day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "188"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Number of regions reported\n",
    "len(regions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Country/Region</th> <th>Lat</th> <th>Long</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Afghanistan        </td> <td>33.9391 </td> <td>67.71   </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Albania            </td> <td>41.1533 </td> <td>20.1683 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Algeria            </td> <td>28.0339 </td> <td>1.6596  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Andorra            </td> <td>42.5063 </td> <td>1.5218  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Angola             </td> <td>-11.2027</td> <td>17.8739 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Antigua and Barbuda</td> <td>17.0608 </td> <td>-61.7964</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Argentina          </td> <td>-38.4161</td> <td>-63.6167</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Armenia            </td> <td>40.0691 </td> <td>45.0382 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Australia          </td> <td>-32.1063</td> <td>141.355 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Austria            </td> <td>47.5162 </td> <td>14.5501 </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (178 rows omitted)</p>"
      ],
      "text/plain": [
       "Country/Region      | Lat      | Long\n",
       "Afghanistan         | 33.9391  | 67.71\n",
       "Albania             | 41.1533  | 20.1683\n",
       "Algeria             | 28.0339  | 1.6596\n",
       "Andorra             | 42.5063  | 1.5218\n",
       "Angola              | -11.2027 | 17.8739\n",
       "Antigua and Barbuda | 17.0608  | -61.7964\n",
       "Argentina           | -38.4161 | -63.6167\n",
       "Armenia             | 40.0691  | 45.0382\n",
       "Australia           | -32.1063 | 141.355\n",
       "Austria             | 47.5162  | 14.5501\n",
       "... (178 rows omitted)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countries = get_countries(raw_states_cases)\n",
    "countries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <a id=\"sectionWorldWide\">World-wide picture</a>\n",
    "\n",
    "The following graph shows the globnal picture since the early cases were reported.  \n",
    "Looking at just the overall number of cases that is when Covid-19 took off in scale."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "WW_cases = cases.select(cases.time_column)\n",
    "WW_cases['WW'] = cases.sum_cols()\n",
    "\n",
    "WW_deaths = deaths.select(cases.time_column)\n",
    "WW_deaths['WW'] = deaths.sum_cols()\n",
    "\n",
    "WW_case_trend = WW_cases.trend()\n",
    "\n",
    "WW_case_trend.extract(['WW', 'active', 'new']).oplot(width=8, xlab=25)\n",
    "label_val(WW_case_trend, last_day, 'WW')\n",
    "label_val(WW_case_trend, last_day, 'active')\n",
    "label_val(WW_case_trend, last_day, 'new')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "WW_deaths.oplot(xlab=25)\n",
    "label_val(WW_deaths, last_day, 'WW')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.214088500351572"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Percent of confirmed cases that have resulted in death\n",
    "100*WW_deaths.last('WW')/WW_cases.last('WW')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pandemic Stage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "WW_recent = WW_case_trend.extract(['WW', 'active', 'new']).after(\"03/13/20\")\n",
    "WW_recent.oplot(width=8, xlab=25)\n",
    "label_val(WW_recent, last_day, 'WW')\n",
    "label_val(WW_recent, last_day, 'active')\n",
    "label_val(WW_recent, last_day, 'new')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <a id=\"subsectionGrowthRates\"> Growth Rates </a>\n",
    "\n",
    "A much deeper picture is revealed by looking at the day-over-day growth rates across the overall course of the infection. The following graph provides a scatter of new cases divided by that of the previous day.  The early portion is almost entirely China.  We see growth rates in the range of 50% per day until lockdown measures were put in place.\n",
    "\n",
    "The daily growth rate had shot up to as muchj as 50% new cases per day for two weeks before the states finally took action.\n",
    "\n",
    "https://www.businessinsider.com/coronavirus-pandemic-timeline-history-major-events-2020-3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hxtu3b9OrVy+aN2+OpaUln332GTdu3ODMmTNUqVJF4TwAzJkzJ8fIqSAIpUMkMEq4GpfG1bi0EqvP09NTIYEJCQnBw8MDDw8PhXKZTIanp2eR69+xYwf29vZ06NAhx7YvvviC1NRU6e3fuRk1ahQPHjzgwIEDbN26lR07dvDgwYM898/MzKRv377ExsYSEBDAwYMHefLkCX379iUzM1Pa7/79+2zfvp0tW7awb98+IiMjGTNmjLT9zZs39OzZkyNHjnDixAlq165N9+7di7ympKB2Cuvy5ctcv36d/fv3s3HjRk6ePMmMGTMKPG7WrFnMmDGDwMBAKleuzIgRI6TzcOPGDbp27Urbtm2RyWTMmzePa9euMXbsWOn4xMREfH19+euvvzh06BAGBgb06tVLYdrxXX/99RcAu3fvJjw8nM2bN0vbgoODuXnzJitWrOC3337j0KFDrFq1Ks/Ynzx5Qrt27ahRowYnTpxg3759JCQk0Lt3b+RyubTf2bNnuXfvHocOHWLhwoUsWbKE8ePHk5qaytGjR/nmm2+YOXOmlLxlZmbSs2dPYmJi2L59O6dPn6ZJkyZ06tSJJ0+eSPWmpKSwYMECFi1axPnz57GysmLZsmVs3bqVpUuXsm7dOuRyObt27VKI+/vvv2fTpk0sWLCAc+fOMXHiRCZOnMixY8dy7Ddy5EhkMhn16tVjyJAhJCQkABATE0ObNm1QU1NjxYoVBAYGMmzYMDIyMmjatCnVqlVj27ZtUl1yuZxt27bRv3//PM+nIAglR9yFpIRTHY1LtD4PDw8mT57M27dvyczM5Pr163h6elK1alW++eYbIOsvwSdPnuDl5aVw7Pr169m6datC2b+H2e/evYuTk1OubVtYWEjTVbmJiIjgxIkTHD9+nIYNGwIQEBBAnTp18uzPqVOnuH79OqGhoaSmpuLo6MiaNWuoV68egYGBNG/eHIDk5GRWrVqFlZUVAIsWLaJt27bcvXsXe3t7mjVrplDvvHnzOHDgAH/++WeRFqMW1E5hqaurs2LFCipUqICLiwszZ85k3LhxzJgxg/Ll834v1tSpU6XrNnnyZNq0acPjx4+xtLRk6dKldOnShXHjxgFZX4I///wzXl5exMbGYmxsjI+Pj0J9K1aswMrKipCQkFxHiYyMjACoXLkypqamCtv09fVZuHAhUVFRODo60rlzZwIDA5k0aVKusa9du5ZatWoxa9YsqeyXX37B1taW0NBQPvnkEwAMDAxYsGABGhoaODk5sXz5cp4/fy4leA4ODixatIigoCDq1q3L6dOnuXbtGnfu3EFXVxeAadOmcfToUbZv38748eOBrN/lefPmUbduXan9VatWMWHCBHx8fIiIiODHH3+UkjbISvhWrFjBnj17pNEQW1tbQkJCWLNmDa1bt5b2HT16NG3btgVg+vTpbNu2jWvXruHu7s6aNWvQ09Njw4YN3Lt3DwcHBxwcHKRjBwwYwKZNm6RYT5w4QWxsrFgoLQhlRCQwSqhbRatE6/Py8iIlJYULFy6QmZlJxYoVqVatGiYmJkRFRfH06VOCgoLQ09OjQYMGCsd26dJFSnKy/fnnn0yePFmhTE1NLd8Y8tp++/Zt1NXVqVevnlRWtWpVzM3zvgsrPDwcc3NzbGxsiIiIALK+QMzNzbl165aUwFhYWEhJBUCDBg1QV1cnPDwce3t7YmNjmTt3LkFBQcTGxpKRkUFycjIPHz7Mty//VlA7heXo6EiFChWkz40aNSI1NZWoqChq1aqV53E1a9aUfjYzMwMgNjYWS0tLrl69SmRkJHv37gWyEpjsaxEVFYWxsTFRUVHMnTuXS5cuERcXh1wuRy6XF/k8ADg7O6Op+c8/ezMzMy5dupTn/levXuXs2bNYWuZ85lFUVJSUwDg7O6OhoSFtMzExyZE8mZiYEBsbK9WblJSkkBBA1ohLVFSU9FlTU5PatWtLn1+9esXTp0+pX7++VKampka9evWkKcrw8HBSUlLo1q2bwu91Wloa1tbWCu29e22yf6ezYwwLC8Pd3R0trdz/vffu3Zs5c+Zw/vx53Nzc2Lx5M+3bt6dy5cq57i8IQskSCcx7wNbWFisrK2QyGZmZmdKXQvny5albty4ymQyZTEbjxo0pV66cwrEVK1bEzs5OoezfXxz29vZ5rpl4/Pgxr1+/zlFHtnenfAorMzMzz4SooETqXaNGjeLZs2f88MMPWFtbo62tTadOnfKcOlGWurp6jn6mp6eXWP3vXrPs/me3J5fLGTBgAKNHjwYgOjoaW1tb4J8v1F69emFubs7ixYsxNzdHU1MTNzc3pc7Dv39/1NTU8r3GcrmcVq1a8f333+fYZmz8z0hkbvW+myhll2VPO8nlckxMTDhy5EiOevX19aWftbW1FRKjd+vKL2aA33//XSFxBXLElN+1Keh3v0qVKrRt25bNmzfj6OjIkSNHFKaUBEEoXSKBUYJ/aNYCS796BiVWZ/Y6mMzMTLy9vaVyDw8PTp8+jUwmU2rdBkD37t0ZMmQIhw4dyrEOZsmSJWhpaeWYpsjm7OyMXC7nypUr0ujPo0ePiImJybO96tWr8/jxY+7duyeVRUdHExMTQ/Xq1aWyx48f8/DhQ6pWrQpkrf2Ry+U4OzsDcO7cOX788UdpyP/Zs2c5Fk0WRkHtVKlShWvXrikc8+/PAHfu3CExMVGaLrp48SJaWlpUq1atyDFlc3V15ebNm1ICmZGRoZBMvnjxgvDwcObPny9NQ125ciXfBCt7xKAk7thxdXVl7969WFlZ5UhSilvvs2fPUFdXlxK2wqhYsSKmpqZcvnxZOh+ZmZmEhoZiYmICZP3Oamtr8+DBgxzTkEWNcfv27fkmigMHDmTgwIHY2tpiYmIijS4KglD6xCJeJfx05Q0/XXlTonV6enpy6dIlQkJCpBEYgKZNm7Jnzx5iY2OVWsALWdNMPj4+jB49mnXr1hEdHc2tW7dYtmwZq1ev5ocffsh1igCypk28vb2ZOHEiFy9eJCwsjDFjxqCnp5fnX8HNmzenVq1ajBgxgps3bxIaGsrw4cNxdXVVWMOjq6vLqFGjCAsL48KFC0yaNInWrVtL0zr29vbs2LGDW7ducfnyZYYMGZLncH5+CmrHy8uLsLAwNm3aRGRkJEuWLOHcuXM56snIyGDs2LHcvHmTkydPMmvWLAYOHJjv+peCjB8/nsuXLzNx4kSuXr3KgwcPOHr0KBMmTACyHlBnZGTExo0biYyMRCaTMWnSpBwjCe8yNjZGV1eXEydO8OzZM169eqV0fMOGDeP169cMHjyYS5cuER0dzalTpxg/fjxv3ij/b6B58+Y0btyYPn36cPz4caKjo7lw4QI//PADZ8+ezfdYX19flixZwsGDB4mOjmbq1Kk8ffpU+n3U19dn3LhxfPfdd9I1DQsLY926daxfv77QMQ4dOpTExEQGDRrEjRs3iIyMZNeuXYSFhUn7tGjRgkqVKvHTTz/Rp08f1NXF/1IFoayIf21KmFJXnyl19QvesQg8PT1JTU3F2NhYGikAaNy4McnJyRgYGCgsZCwKNTU11q1bh5+fH2vXrqVx48Z8+umn3Lhxg+3btzNs2LB8jw8ICMDCwoIOHTrQp08funfvTpUqVfK8nVtNTY0tW7ZgZGSEr68vHTt2xMTEhC1btigkPdbW1nz++ef07t2bTp06YWNjw4oVK6Tty5cvJzExkebNmzNkyBD69euXYw1DYRTUjre3N1OmTOH777+nefPm3L9/P9dzUr9+fapXr07Hjh3p168fnp6eCotblVGrVi0OHz7M/fv3pfM7e/ZsaXpGXV2ddevWcePGDdzd3fn666+ZOnUq2traedapqanJTz/9xKZNm6hevTp9+vRROj5zc3OOHTuGuro6n3/+OY0bN+arr75CS0sr3xgKoqamxo4dO/D09GT8+PE0bNiQwYMHc+fOnXzXVwGMGzeOnj17MmbMGIYMGQJkPdTx3d/HqVOn8s0337B8+XIaN25Mly5dOHDgADY2NoWO0cLCgsOHD5OWlsaoUaPw8vLi119/VUge1dTU6Nu3L2lpafTt27eIZ0EQhOJQi4+PL/oih49YREQEjo6OH3wbxWknLi6O6tWrs2bNmjynnorbRlHk14a/vz8HDhwgODi4VNspKe/7tX9f2/Dy8sLNzY358+eXaju5mTRpEpGRkezbt6/U2ihJ/7VrX9pEX96/NrKJNTBCgQIDA0lISKBmzZrExsYyZ84cjIyM+PTTT1UdmvARun//Pn/99RdNmzbl7t27rFmzhuvXr7NkyZIyjePVq1dcuXKFbdu28dtvv5Vp24IgiARGKVeeZy3qK+7t1OpRWXcGyas5Fzum0pSens7cuXOJjo5GV1eXBg0acPjw4WKt/RAEZamrq7Nt2zamT59Oeno6NWrUYNeuXQq3+peFPn36cPnyZfr166fwbBlBEMqGSGCU0Pxg1nMi4gfnvvC1sPRmjgQgYcOp4oZUqry9vRXujPqQ+Pn54efnp+owhBJUtWpVjh49CpTtcPW//e9//1NJu4IgZBEJjBJcjUrmdtIMm9yfjisIgiAIQv5EAqOEwE4mJVJP8uxfS6QeQRAEQfjYiNuoBUEQBEH44IgERhAEQRCED45IYJRQfVsM1bfl/Sj9wtIb/zl64z8vgYgEQRAE4eMi1sAo4UmyvETqUY+PK5F6BEEQBOFjIxIYJdzsaVYi9SQu3lUi9QiCIAjCx0YkMEow19MokXoyK1UpkXoEQRAE4WMj1sAIgiAIgvDBEQmMEsafecn4My+LXY/2ugVor1tQAhEJgiAIwsdFJDBK2HA7iQ23k4pdT7nAQ5QLPFQCEX34ateuzbJly1QdhiAIgvCBUEkCc+bMGXr16kWNGjUwNDRky5YtBR5z48YN2rVrh5mZGTVq1OCnn34iMzOzDKLNaXETQxY3MSx2PSmDviRl0JclEFHxPX/+nC+//JLatWtjYmKCo6MjnTp14uTJkyXazpYtW7C0LN47pPKrKzIyEldXV7p27UpiYmKJtCMIgiC8f1SyiDcxMREXFxd69+6Nr69vgfu/fv2aLl260KRJE/766y8iIiIYM2YMenp6jBs3rgwiVjTIuWTewpzeomOJ1FMS+vfvT3JyMsuXL6datWo8f/6cM2fO8OLFC1WHVmhhYWF069YNDw8PVq1ahZaWcm8LT01NVfpYQRAEoWyoZASmVatWTJ8+HR8fH9TVCw5h586dJCcns3LlSlxcXPDx8WH8+PEEBASU+SjMo2Q1hge+oMORWIYHvuDem7Qybb80xMfHExwczMyZM2nWrBnW1tbUr1+fcePG8fnnnyvs5+vri42NDWZmZvj4+HDz5k1pe24jIiEhIRgaGhIXF0dQUBBjxowhMTERQ0NDDA0N8ff3l/ZNSUlhwoQJWFlZ4eLiwtKlSwvdh7Nnz9KhQwc6derEmjVrFBKQAwcO0KRJE0xMTKhZsyYLFixQ+L2pXbs2/v7+jBkzBmtra4YPHw7A48ePGTJkCDY2NtjY2DBhwgTu3r0rHRcVFUXv3r1xcnLCwsICLy8v6S3JgiAIQun6INbAXLhwAXd3d3R1daUyb29vYmJiuHfvXpnFce9NGmNvaLMzMhnZk1R2RibT+Vic0kmMRuhZNELPlnCURVehQgUqVKjA4cOHSUlJyXO/UaNGERISwtatWzlx4gS6urp069aN5OTkQrXj5uaGv78/enp6hIeHEx4erjCCFhAQgIuLC4GBgYwfP57p06dz4cKFAus9ffo0n3/+OSNHjmTBggUKSfGVK1cYNGgQHTp04OzZs8yYMYNFixbx66+KL9IMCAjAycmJU6dOMX36dJKSkujYsSPa2tr873//4/jx41SpUgUfHx+SkrLWPyUkJPDZZ5+xd+9eZDIZnTp1on///ty+fbtQ50MQBEFQ3geRwDx79gxjY2OFsuzPz549K5MYUt6mMmbTGR7euK5QHvUmg+8vv1GqTt3F36K7+NuSCK9YNDU1WbFiBTt27MDGxobPPvuMadOmcenSJWmfu3fvcuTIERYvXkzTpk2pWbMmv/zyC2/evGHnzp2FakdLSwsDAwPU1NQwNTXF1NSUChUqSNtbtmzJiBEjsLOzY6aju/kAACAASURBVOTIkdjZ2REYGJhvncnJyUyePJlhw4YxderUHNtXrFhB06ZN+fbbb3FwcKBHjx6MHTuWJUuWKOzXpEkTxo8fj52dHfb29uzevZvMzEwCAgKoVasWTk5O+Pn5kZiYyLFjx4CskZshQ4ZQs2ZN7Ozs+Oqrr3B1dWX//v2FOh+CIAiC8j6YB9mpqakpfM6eAvh3+bsiIiJKrP3klFSu/XUCMsuBfR2FbZFxCUREFP21AHaOWfVE5hJnScaen+x2XFxcOHToEFeuXCEsLIzAwECWL1/O6NGjGTx4MIGBgairq1O5cmWF2KpVq8a5c+dwd3fn6dOnyOXyXGOPjIzkxYsXee6Tnp6OqampQnnFihW5c+dOnufi6dOnlCtXjoYNG7Jp0yYaN26Mk5OTwj5hYWE0bdpUoQ4rKyseP35MaGgoFSpUID09HRsbG4V9AgMDuXfvHhYWFgr1paSkcPHiRWrVqkVycjKrV69GJpPx/Plz0tPTSU1NpWrVqsW6fmV97UUb7087oi/vXxtl1Y7oS+4cHR3z3PZBJDAmJiY5RlqeP38OkGNk5l35dbyoMjMzKa+jxas3aZCRDhr/nDo7owo4OloXvdJpWWs8/h1lREREicael9zaqVWrlvTzuHHjWL16NTNnzsTc3BwABwcHypUrJ+2jq6tLpUqVcHR0xNzcHDU1NYU6z58/D4CdnR1GRkaYmpqirq6eo11NTU3Mzc0VyvX09DAwMMjzXJiamqKpqcm8efOYO3cuY8eOZd++fbi6ukr7aGlpYWRkpFDHo0ePpL7o6+ujqamJlZWVwj4GBgbUrl2bdevWSWXR0dHY2tpSqVIlKlWqxKRJkwgMDGTOnDnY29ujp6eHr68vurq6Sl8/VV570YZq2xF9ef/aKKt2RF+U80FMITVq1Ijg4GCF9RknT57E3NwcGxubMolBTU2NTyz00dHIhLf/rPmopq/BtPr6ZRJDWXN2diY9PZ2UlBSqV6+OXC5XWJPy+vVr/v77b5ydnQGoUqUKSUlJvH79Wtrn3+tBtLS0yMjIKNE4y5Urx4YNG/Dy8sLHx4crV65I26pXr865c+cU9g8ODsbS0hJ9/byvm6urK5GRkVSuXBk7Ozvs7OywsrLCzs6OSpUqAXDu3Dl69eqFj48PtWrVwsLCgqioqBLtmyAIgpA7lSQwCQkJhIWFERYWhlwu5+HDh4SFhfHgwQMAZs2aRadOnaT9u3Xrhq6uLqNHj+bvv//mwIEDLF68mNGjR+c7hVTSLCrrU0tfTlvTTDzNtOhup8u+1kbY6Jcr+OD32IsXL+jYsSPbt2/n+vXrREdHs2/fPpYuXUqzZs0wMDDA3t6edu3aMXHiRM6ePcuNGzcYMWIE+vr6dO/eHYAGDRpQvnx5Zs+eTWRkJPv372fXLsUXVlpbW5OSksLJkyeJi4uTFsQWl6amJmvXrsXb2xsfHx9CQkIAGDNmDGfOnMHf3587d+6wY8cOVqxYwRdffJFvfd27d8fExIQ+ffogk8mIjo7m8uXLTJ06VboTyd7eXpp2yz4fb9++LZH+CIIgCPlTSQITGhqKl5cXXl5eJCcn4+/vj5eXFz/88AMAT548UfhLtmLFiuzdu5eYmBhatGjB119/zZgxYxg7dmyZxq1fQRcddTjyxoCgJ6msbla5WMlLhYHNqTCweckFqKTy5cvTsGFDVq1aRfv27XF3d2f27Nl069aN3377TdovICCA+vXr07t3b7y9vUlOTmbXrl3S3WGVKlXi119/5eTJkzRp0oQNGzYwcuRIhbbc3NwYMmQIQ4cOxd7ePsdi2uLQ1NTk119/pXXr1nTp0oWLFy9St25d1q9fz8GDB3F3d2fWrFlMmDCBESNG5FuXnp4ehw8fxtbWlkGDBtGoUSNmzZpFfHw8hoZZDzGcO3cuxsbGtGvXju7du9OwYUPc3d1LrD+CIAhC3tTi4+NV8zjbD9CyDfs5duoCMq/RAMQPLt4TZbOTl4QNpxTKy3I+1OJB1m3M5VuWzvNL/ktzrqIvH2cbZdWO6Mv710ZZtSP6opwPYhHv+6JiBT0ANlk/oKN342LX9+/ERRVKK3ERBEEQhNL0QSzifV8Y6Ge9QuB1Qsms2xAEQRAEQTkigSkCg/8fgXn9RiQwgiAIgqBKIoEpguwEZm2KDT3/LPqD6/5NZ5EfOov8il1PcaRcnUHK1RkqjUEQBEEQikqsgSkCA/2sBOaORmXuPMj7nUGFpXkluNh1FFdG3HlVhyAIgiAIRSYSmCLIHoFp/vQcI/u0K3Z9yRN+KHYdxaVdZ6aqQxAEQRCEIhMJTBEYVMhaxFsxNpK21roF7F2wjHpNil1HcWlWKf7dVIIgCIJQ1sQamCLQ1dFCU0OdlLdpvE1NU3U4giAIgvDREglMEaipqVGhvA4Pqjjy67X4YtenefIgmicPlkBkykt7dJi0R4dVGoMgCIIgFJVIYIqovK4Of9s04buw1GLXpbP+Z3TW/1wCUSkvNXwpqeFLVRqDIAiCIBSVWANTRPrldagaextXF7ti15XWrEMJRFQ8mhZtVR2CIAiCIBSZSGCKqIKeDjWjghnhZVTsut4O+aoEIioe7erjVR2CIAiCIBSZmEIqovJ6OgC8Eq8TEARBEASVEQlMEemX1yGlnC73X78tdl1qL5+j9vJ5CUSlPPnbOORvlXuqsKGhIfv37893n4YNGxa4z/tsy5YtWFoW763jBVm2bBm1a9cu1TbKUmF+LwRBEIpLJDBFVEFPh8A6PZj2yqHYdZWf0I3yE7qVQFTKSz7Tl+QzfXOUP3v2jClTplC3bl1MTEyoUaMG3bp1448//ihS/UeOHKFNmzYlFW6Z69q1K1euXFF1GO+lUaNG0bNnzxzl4eHhH/Q1FwThwyDWwBRRBT1dtOOSKFdOo9h1yQ2Lv46muNS0Kucou3fvHm3atKFChQrMmDGDWrVqIZfLCQwMZNKkSVy/fr3Q9VepUgVtbe2SDLlQ0tLSKFeuXLHr0dXVRVe3+A8tLGkl1T9lyOVyMjMz89xuampahtEIgvCxEiMwRVReT4fm13YyIC6w2HUlLdlN0pLdJRCV8vQ8tqLnsVWh7KuvviIzM5OTJ0/SpUsXHB0dcXZ2ZsSIEchkMoV9X758ycCBA7GwsMDV1ZXt27crbH93CunevXvS9ELnzp0xNzfHzc2NkydPSvtnZGQwduxY6tSpg5mZGfXr12fJkiXI5fI8+/D48WMMDQ3ZtWsXHTt2xMzMjN9++w2A8+fP065dO8zNzalRowaTJk3i9evXAPz22284OjqSnp6uUN+wYcPo3bs3kHMK6eHDh/Tu3RtbW1vMzc1p2LAhu3f/cw0fP37MkCFDsLGxwcbGhh49enD37l2F+pcsWYKTkxOWlpaMHDmShISEPPv27nkrav8A2rdvz8SJE5kyZYoU03fffadwPuPj4/H19cXGxgYzMzN8fHy4efOmtD37HPzxxx+4u7tjbGzM4MGD+f333zl27BiGhoYYGhoSFBQEKE4hFeaaAxw7dowGDRpgampK27Zt2b17N4aGhty7dy/fcyMIwsdLJDBFVOH/F/G+/o8u4n358iV//vknw4cPp0KFCjm2GxoaKnyeN28e7dq1QyaT0bVrV8aOHcv9+/fzbeP7779n5MiRyGQy6tWrx5AhQ6Qvcblcjrm5OevXr+f8+fN89913/Pzzz2zevLnA2GfNmsWwYcM4d+4c7du358aNG3Tt2pW2bdsik8nYtGkT165dY+zYsQB06dKFV69ecerUKamOxMREDh8+nOvUCMCXX35JcnIyBw8eJDg4GH9/fypWrAhAUlISHTt2RFtbm//9738cP34cU1NTfHx8SErK+n3Zu3cv33//PX5+fgQGBuLo6EhAQECBfVOmf9l27tyJXC7n+PHjLF68mA0bNvD7779L20eNGkVISAhbt27lxIkT6Orq0q1bN5KTk6V9UlJSWLBgAYsWLeL8+fOsWLGCLl260Lx5c8LDwwkPD8fNzS3P2PO75g8ePKB///60atUKmUyGr68vM2aIN6QLgpA/MYVURFIC8yZRxZGUjsjISDIzM3FycirU/j179pS+7KdOncqqVasIDg7G2to6z2NGjx5N27ZZz5+ZPn0627Zt49q1a7i7u1OuXDmmTp0q7WtjY8PVq1fZvXs3AwYMyDeWESNG4OPjI32ePXs2Xbp0Ydy4cVLZzz//jJeXF7GxsRgbG/PZZ5+xY8cOPv30UwAOHTqEpqZmnms4Hjx4QKdOnaRFt7a2ttK23bt3k5mZSUBAAGpqagAsXrwYBwcHjh07RpcuXVi5ciW9e/dm8ODBQNZoV1BQEJGRkfn2Tdn+QdaUzrx581BTU8PJyYk7d+6wevVqZs6cyd27dzly5Aj/+9//aNq0KQC//PILtWvXZufOndI5z8jIYN68edStW1dqS0dHB21t7UJNGeV3zdetW4etrS1z585FTU0NR0dH7ty5w5w5cwqsVxCEj5dIYIpIW0uTczU6kJkJKW9T0dHWUrou3ekjAEie/WtJhVdkyRez/lrXbbgcIN+1DbmpWbOm9LOmpiZGRkbExsYW+hhzc3MAhWPWrVvHxo0befDgASkpKaSlpWFlZVVgLPXq1VP4fPXqVSIjI9m7d69Ult2/qKgojI2N6dGjB2PGjCEpKQk9PT127txJp06d0NHRybUNX19fJk2axIkTJ2jWrBkdOnSQvtSvXr3KvXv3qFq1qsIxSUlJREVFAVkLXPv376+wvWHDhoVKYJTpH0CDBg2khAqgUaNGzJ07l9evXxMeHo66ujqNGjWStlesWBEXFxdu3bollWlqahbrTqn8rvnt27epV6+eQowNGjRQui1BED4OIoEpIjU1NV7pZS2+fZOQVKwERuPe7ZIKS2nyN3cUPtvb26Ompsbt24WL7d8LSdXU1ApMgt49JvtLK/uYPXv24Ofnx5w5c2jUqBEGBgasXr2aQ4cOFRhL+fLlFT7L5XIGDBjA6NGjc+yb/SXapk0bNDQ0OHz4MM2aNePUqVPs2bMnzzYGDBiAt7c3x48f59SpU7Rq1YqJEyfi5+eHXC6ndu3arFu3LsdxlSpVKjD+gijTv4Lkd63eTSi0tbXR0FB+4Xp+1zwzM1OhLUEQhMIQCYwSPn9xlkdP43jVohPGRoYFH5CHpJm/lGBUytFpsEzhc6VKlfD29mb16tWMHDkyxzqY+Pj4HOtgSlJwcDCffPIJI0aMkMqyRy+KytXVlZs3b2Jnl/drH7S1tfHx8WHnzp3ExcVhamqKh4dHvvVaWloyaNAgBg0axOLFi1m1ahV+fn64urqya9cuKleunOc5cnZ25tKlSwqjMJcuXSq1/gGEhIQoJAkXL17E2NgYAwMDqlevjlwu58KFC9IU0uvXr/n777/p06dPvvVqaWmRkZGhVOzvcnZ25vBhxReKhoSEFLteQRD+28QiXiU46GZQMekFrxOKtw5GXs0ZeTXnEopKORoGjmgYOCqULViwgMzMTFq0aMG+ffuIiIjg9u3brF27tsAv9+JycHAgLCyM48ePc/fuXebNm8fZs2eVqmv8+PFcvnyZiRMnStMtR48eZcKECQr79ejRgxMnTvDbb7/RrVs31NXz/mcxZcoU/vzzT6KjowkLC+PPP//E2TnrGnbv3h0TExP69OmDTCYjOjqaM2fOMHXqVOlOJF9fX37//Xc2bNjA3bt3WbhwodJf1oXt35MnT/jmm2+IiIhg//79LF26VLrLyt7ennbt2jFx4kTOnj3LjRs3GDFiBPr6+nTv3j3f9q2trbl58yYRERHExcWRlpamVD8GDx5MVFQU06ZNIyIiggMHDkh3WYmRGUEQ8iISGCXoV9AD/rt3Itna2hIYGEjz5s2ZMWMGTZs2pVOnThw5coRFixaVatuDBw+mc+fODBs2jBYtWnD//n3GjBmjVF21atXi8OHD3L9/nw4dOuDh4cHs2bOltSHZmjZtirm5Obdu3aJHjx751imXy5k8eTJubm506dIFExMTVq5cCYCenh6HDx/G1taWQYMG0ahRI0aNGqUwatW1a1e++eYb5syZg5eXF3///XeuU0Al2b/u3bsjl8vx9vbmiy++oH///gqjKwEBAdSvX5/evXvj7e1NcnIyu3btKvD5NwMHDsTJyYkWLVpgb2/PuXPnlOqHtbU1Gzdu5MiRI3h4eLBy5UqmTJkCkOdaJEEQBLX4+Piirdr8yEVERDD9UhK3Ix/yXcNKdG7VROm6tPZm/ZWZ2mVwjjYcHR1zO6RERUREYKOR9aWjZdefv0KzFoO2rNelRNso7b6U5fn60PrSvn17XFxcmD9/fqm2k5vitLFy5Ur8/f2Jjo7Od0RMXPv3s53/Shtl1Y7oi3LEGhglHEmpAhZViH99o1j1aO3bAORMYMpSWvSWrFjs+nPy6j6gZBMYQSiM1atXU79+fYyMjLh06RLz58+nd+/e+SYvgiB83EQCo4Q+Jimcv3KLF6YpxaontfPAEopIeeVs/3kPUgvXziqMRPiYRUZGsnDhQl68eIGFhQVDhgxh8uTJqg5LEIT3mEhglDDWSZO4I1eJ161a8M75UOXISzYtu3/uhhEjL/89//vf/1QdQqH4+/vj7++v6jAEQfiAiPFZJVQ21Afgxas3Ko5EEARBED5OYgRGCffStXmlVxnNV/HFegiXelQ4gEpvpc54HQFk3U796HnW81Ysq1RTWTyCIAiCUBhiBEYJrY/Gc65GR9LT5SQkKb8ORm/mSPRmjizByIou5dI4Ui5lvUtn1aGZrDo0U6XxCIIgCEJhiBEYJbgaleNhTNZ7XF6+eoN++fyfl5GXDJvCvTCxNKnrO0g/WxjZqDASQRAEQSg8kcAoIbCTCXOWHuc6EP86EWsL5epR5Uscs2W/xBFgVMfZKoxEEARBEApPZVNIa9asoU6dOpiamtKsWbMCHxe/c+dOPDw8MDc3x8nJiREjRvD06dMyijYnw4pZ7wh6GS8W8gqCIAhCWVNJArNnzx6++eYbvvzyS06fPk2jRo3o3r07Dx48yHX/c+fOMXLkSHr37k1wcDBbtmzh1q1bDB8+vIwj/0el7ATmdYLKYhAEQRCEj5VKEpgVK1bQp08fBg4ciLOzM/Pnz8fU1JR169bluv/FixexsLBgzJgx2Nra0rBhQ0aMGKGyN9ZW3xbDtNdZj0qOL0YCozf+c/TGf15SYSklSdaHJFnWe3HmbR/PvO3jVRqPIAiCIBRGmScwqampXLlyhZYtWyqUt2zZkvPnz+d6jJubG0+fPuXIkSNkZmYSFxfHnj17+Oyzz8oi5ByeJMuJz9AA4EUxppDU4+NQj48rqbCUkpn6gszUFwC8SY7nTXK8SuMRBEEQhMIo80W8cXFxZGRk5HhjrrGxMc+ePcv1mEaNGrFmzRpGjBhBcnIy6enptGjRQnoLcFm72dOM25EPCQjJWsSrrMTFu0owKuXoNt0i/fx1j8UqjEQQBEEQCq/M30YdExNDjRo1OHz4ME2a/PMm5x9//JHdu3dz8eLFHMfcunWLLl26MGrUKFq2bMnTp0/57rvvqF27Nr/88kuebUVERJRKHwCev3zN3JV7qFyxPN+N6V5q7QgfloMHDzJ//nxOnz6tdB0zZ87k1atXLFq0qERiUqa+TZs2sXPnTg4cOFAiMQiCICgjvzdbl/kIjJGRERoaGjlGW54/f55jVCbbwoULqV+/Pl988QUAtWrVQk9Pj7Zt2/Ldd99RtWru7yQqjVd6Z78q3OptKuXLH0OupoGDg4PST+PNr43S9l95tXpJtDFq1ChevHjB9u3bc/1c2HZMTU1RV1dXOp6IiAgMDAxIT08vsfOWW30F9cXY2BhNTc1ixfChXPv3pR3Rl/evjbJqR/RFOWW+BkZLS4u6dety8uRJhfKTJ0/i5uaW6zHJycloaGgolGV/zsws0wEkAMafecmUS4no6WqRlpah9NN4tdctQHvdghKOrmje3lrC21tLANh/dh37z+a+kFoQBEEQ3icquQtpzJgxbN26lY0bNxIeHs6UKVN48uQJgwdnvZ155MiRjBz5zyP227Rpw+HDh1m7di3R0dGcO3eOKVOm4OrqipWVVZnHv+F2EhtuJ1HJIOulji+VfKljucBDlAs8VJKhFVn64yOkPz4CwKXbgVy6HajSeN4H/v7+/P777xw7dgxDQ0MMDQ0JCgoCsqZjGjRogJmZGbVr12b69OmkpOSewN67d4/KlSsTGhqqUL5hwwbs7OxITU0tVDxv377lm2++wdHREVNTUz799FOCg4MV9rl9+za9evXC2toaS0tLPvvsM27cuJFrfdeuXaNNmzbMmTNHKluyZAlOTk5YWloycuRIEhIU766Ty+XMmzePmjVrYmJiQpMmTRTedD148GAmTZokfZ4zZw4NGzbk0qVLUpmLiws7duwAska4evbsycqVK6lRowY2NjaMHj2apKSkQp0TQRAElTyJt2vXrrx48YL58+fz9OlTatSowY4dO7C2tgbg4cOHCvv37duXhIQEVq9ezbRp0zAwMMDT05NZs2apInwWNzEE4MGxCjx6Gqf003hTBn1ZwpEVnZbzF9LPndwHqS6Q98i4ceO4ffs2L1++lNZYVapUiXv37qGnp8fy5csxNzcnPDycSZMmoaWlxbRp03LUY2NjQ/Pmzdm8eTP16tWTyjdv3kzPnj3R0tIqVDzTp09n3759LF++HFtbW1asWEG3bt0ICQnBzMyMmJgY2rRpg5ubG3v37qVixYqEhISQkZGRo66zZ8/Sp08fBg8ezHfffQfA3r17+f7775k3bx6enp7s27ePJUuWYGhoKB23cuVKli1bxsKFC6lXrx7bt2+nf//+nDp1ijp16uDh4cGqVauk/WUymZT4NWjQgLt37/L48WM8PDykfYKDgzE1NWXfvn08evSIQYMG4eDgoJAICYIg5EVlrxIYNmwYw4YNy3Xbu3/ZZfv3qIwqDXIuD8Cyc8V7Gm96i44lFpOyylm2k35u6NxChZG8PypUqICOjg7a2tqYmpoqbJs8ebL0s42NDZMmTWLZsmW5JjAAAwcO5IsvvmDu3Lno6OgQHh7OxYsXWbJkSaFiSUxMZN26dSxdupTWrVsDsGjRIk6fPs2aNWuYNm0aa9asQU9Pjw0bNkhJkYODQ466jh49yvDhw5k3bx4NGjSQyleuXEnv3r2lEdCvvvqKoKAgIiMjpX2WL1/O2LFj6d49a8H61KlTOXv2LMuXL+fXX3/Fw8ODL7/8kidPnmBgYEBoaCjDhw8nKCiIiRMnIpPJsLOzw8Lin0xfX1+fhQsXoqmpibOzM507dyYwMFAkMIIgFIp4G3UxZD+NtzgPsxM+LPv376dNmzbSdMu3336bY8TwXe3atUNLS4uDBw8CWaMvn3zyCS4uLoVqLyoqirS0NBo3biyVaWho0KhRI27dugVAWFgY7u7u+Y7oXLlyhX79+rFs2TJ69+6tsC08PJyGDRsqlL37+fXr18TExCjEAODu7i7F4OzsjImJCTKZjPPnz1OtWjVatWrF+fPnSUtLQyaTKYy+ZB+jqfnP31BmZmbExsYW5rQIgiCIBEYZR+4nc+R+MpUq/v8aGCUTGI3Qs2iE5v8OqNKW/vwc6c/PAXDrQSi3HoQWcMTH69q1awwZMoSWLVuybds2Tp8+zdSpU0lLS8vzmHLlytGrVy82b95Menq6NPVSWNmL1HO7yy27rDAL2W1sbHB2dmbz5s28ffu20O0X5N24mjZtSlBQEDKZDE9PTywsLKhcuTKXL1/mzJkzORKYcuXK5ahLFYvyBUH4MIkERgm9T7yg94kXVDLIGoFR9mm8uou/RXfxtyUZWpG9DZvJ27CZAGw5sZgtJ8TD7CDrbrl/ryG5evUq5ubmTJ48mfr162Nvb5/n+7veNXDgQIKCglizZg0JCQl07dq10HHY2dmhpaWlsGg3IyODCxcu4OzsDICrqyvBwcH5LgquVKkSBw4cICYmhn79+ins6+zsrLDYFlD4bGBggLm5OefOnVPYJzg4WIoBwMPDQ0pgspOVpk2bsn79+hzrXwRBEIpLJDBKaG2lQ2srHZI0tQl7kcraq7EMD3zBvTd5/yWem/S67qTXdS+lKAtHw8gNDaOs29edq9bFuWpdlcbzvrC2tubmzZtEREQQFxdHWloa1tbWxMTEsGPHDqKjo1m7di27d+8usC4HBwcaN27M9OnT6dSpEwYGBoWOo3z58gwZMoRZs2bxxx9/SAuHY2NjpTVkQ4cOJTExkUGDBnH58mUiIyPZtWsXYWFhCnUZGRlx4MABHj16xOTJk6WRGF9fX37//Xc2bNjA3bt3WbhwYY73jI0bN47ly5eza9cu7ty5w9y5cwkODmbs2LHSPh4eHkRGRhISEiIlKx4eHuzYsSPH+hdBEITiUtki3g/Z9k+NuPcmjQ67nhOTKIfM1+yMTOZSbCr7Whtho1+u4EqAlIn+pRxpwXRc/7mTq9+nE1UYyftl4MCByGQyWrRoQUJCAgcPHsTLy4svvvgCPz8/UlJSaNGiBd9++y1fflnw3WT9+/fn7NmzRZo+ypZ9t92YMWN49eoVderUYdeuXZiZmQFgYWHB4cOHmT59Oh07dkRNTQ0XFxcWL845mmZkZMTBgwdp3bo1AwYMYOPGjXTt2pXo6GjmzJlDcnIybdu2ZfTo0WzdulU6ztfXl4SEBGbMmMGzZ89wdHRk48aN1KlTR9rH2dkZU1NTKleuTJUqVXj58iWenp5kZGSI0RdBEEpcmb9K4EOX/ZTB4YEv2Hn7NRxaBxoa0DHrr+Hudrqsbla5RNoobf+VpzJ+COdr8eLFbNq0qcA3qH8IffnY2iirdkRf3r82yqod0RfliCkkJcUkZYCGJqirQUZG1n/Ak6Scz94QPl4JCQmEhoayatUqfH19VR2OIAjCf0aREpjHjx/z7bffnTDZDQAAIABJREFU0rx5c1xdXfn7778BCAgIyLEI8L/M8LdHyJ6kgpoalNPOKkzLWk9gpqeRz5GKKgxsToWBzUshwsJL/KsNiX+1AeC79QP5bv1AlcZT1lavXs3q1atLrf6vv/6a1q1b4+bmJj1nRRAEQSi+QicwN2/epEmTJmzfvh0zMzMePHgg3cnw4MEDhadwfiyq6Wv8k8Ckp1JNX4Np9fVVG5TwXlm5ciXPnj1jw4YNCs88EQRBEIqn0P9HnTZtGs7OzuzevRsdHR2FN0e7ubkxY8aMUgnwfRQ/2BKAe2/S6BakR1z6axqZqvFTERbwAiRsOFVKERZe+ZZHpZ/nDNqgwkhUY/jw4aoOQRAEQVBCoROYc+fOsWbNGipUqJDj+RjGxsY8e/asxIN739nol6OzkyFhGS/5ppZ2kZIXQRAEQRCUV+gpJHX1vHeNi4tDR0enRAL60JTXzZpCSkzK/Y3EgiAIgiCUvEInMPXr12fLli25btu3bx9ubm4lFtT7ruefcfT8Mw6A8nq6ACQmFz2B0Vnkh84ivxKNrahSrs4g5WrW9N/mPxex+c9FKo2nrB07doxjx46pOgxBEAShiAo9hfT111/TuXNnunTpQrdu3VBTUyMwMJBVq1Zx6NAhDh8+XJpxvleOPfgnWSmvmzXylJRc9PfLaF4JLninUpYRd176OfzhFRVGohr3799XdQiCIAiCEgqdwHh4eLBlyxb8/Pykx4fPnDkTa2trtmzZQoMGDUotyPfN797/PKhOmkJSYgQmecIPJRaTsrTrzJR+7us9QXWBqEirVq1UHYIgCIKghCLd19m6dWtat25NZGQksbGxVK5cucyeuPc+aWutK/1cXi9rBEaZNTAZ9ZqUWEzK0qzSWPq5ulU9FUaiGjY2NqoOQRAEQVBCodfA/PTTT8TExABZb8h1c3OTkpcnT57w008/lU6E7zk9aQpJLOIVBEEQhLJSpATm8ePHuW772BKY9eGJrA9PBP4ZgUlQYgRG8+RBNE8eLNHYiirt0WHSHmWtX7oYfpKL4SdVGk9Zu3nzJjdv3lR1GIIgCEIRFTqByczM+52P8fHxaGtrl0hAH4IJZ+OZcDYeKN4iXp31P6Oz/ucSja2oUsOXkhq+FIADwes5ELxepfGUNZlMhkwmU3UYZe7XX3/F3d29zNv19/dXSbuCIPz35LsGJigoiNOnT0uff/vtN/6PvfMMi+roAvBLFxBFQYoK2BEraATBFsXERI3daDS22HtLFGNXDPqpsbdI1Nhj7IlGsCLYG2gSBaIINiwI0oss34/Nrq6wsLuURZz3eXi4O/fMzLl3Z/eenTlzzrFjxxRkUlNT8ff3p3bt2oWjYTFkQC0T+bFJPuLAZLTqWGA6aYp+xc/lxx/VaqVFTbSDpuO2Q4cO1KlTh8WLFyuU79ixgylTpvDo0SMAkpOTWbJkCQcOHODx48eYmppKs5kPHUqPHj1ybDsyMpKGDRtSrlw5goODKVu2bJ79KkPW1unTp3FxeePj9PXXXzNtmna38CvD3Nw8x/Iff/yRb775poi1EQgExZVcDZhz586xZMkSAHR0dHKMA2NoaIijo+MHtYS0olk5+XF+nHjTvvm2wHTSFKPa4+XHnT0+vIdDixYtCrX9iRMncunSJRYuXIiTkxOxsbFcu3aN2NjYPOumpKSwfPnyQknTYWJiQvny5fMW1BIrV66kXbt2CmVlypQpcj0yMjIwMBARtgWC4kiuS0heXl7ExsYSGxtLVlYWJ06ckL+W/T19+pSzZ8/i6upaVDoXK2RLSEkpqbkuswk+TP78808mTZrEZ599hoODA87OzgwePFilHEzDhw9n/fr1Sn3PAE6cOMHnn3+Og4MDVapUoVu3boSGhsrPN2zYEIDWrVtjbm5Ohw4dgOxLSBKJhP/973/UrVsXKysrPDw8OHLkiPx8ZGQk5ubmHDp0iC5dumBra4ubmxunT7/xmcrMzGTMmDE0aNAAGxsbunXrxooVK5BIJKrfsP8oW7Ys1tbWCn/GxtLdfzt27KBSpUocP36cHj16YGtrS+/evXn16hWHDh2iUaNG2NvbM2zYMFJSUuRtZmVlsWLFCpydnbGxsZEnp333Gvfu3csXX3yBjY0NmzdvBuDw4cPUq1cPW1tbevXqha+vb7aZoj///JNWrVphbW1NgwYNmD9/vjzhLUD9+vVZvHgxEyZMwM7Ojjp16rBy5UqFNuLj45k0aRKOjo5YW1vj6urK/v37SUpKws7OjkOHDinInz59GktLyw8ylYtAoLIPTGxsLI0bNy5MXd4bniRn8iRZmg9KX18PI0N9JJIs0tIz1GpHJ/YFOrEvCkNFlZGkxSBJk0YVjk+OJT4575mBkkRSUhJJSUmF1r61tTUnTpzg1atXatft0qULderU4YcflMcLSkpKYsSIEZw6dYo//viDMmXK0Lt3b/mD89SpUwDs27eP0NBQtm/fnmM769atY9WqVcyZM4fz58/ToUMH+vXrx82bNxXkvL29GT58OEFBQbi4uPDNN9+QmJgISI0gW1tbtmzZwqVLlxg5ciRLly5V2md+SEtLY/Xq1cyfP59Dhw4RHBzMgAED2LlzJ1u3bmX79u34+fnh6+uroPu2bdtYsmQJFy9eZOLEiUycODFbJOa5c+cyZMgQLl68SIcOHbh8+TLe3t4MGTKEwMBA2rdvj4+Pj0KdkydPMmzYMIYOHcrFixdZvXo1hw4dYt68eQpya9eupU6dOgQEBDB+/HhmzZrF5cuXAamB1bNnT86dO8eaNWu4dOkSCxYswMDAAFNTU7p3757tXm7fvp127dphZWVVkLdXIHgvUCsOjIznz5+Tmpp9ycTOzi7fCr0POP0aDbzJSm1qYkxaegJJyamUMjJUuR3TCVIfCG1mpU4511eqS5tjLN4jDWT3IWWl3rlzJ1B4WamXL1/OsGHDqF69OnXq1MHNzY327dvTunVrlerPnTuXzp07M3r0aJycnLKd79y5s8LrNWvWYGdnx7Vr13B3d8fCwgKA8uXLY21trbSf1atXM2bMGHr27AnA9OnTOX/+PKtXr+ann36Sy40aNYrPP5f6Tc2aNYvdu3dz69Yt3N3dMTAwYPr06XLZTz75hGfPnrFv3z769++v0vXKGD58OKNGjVIo8/f3p27dugC8fv1avrxds2ZNevTowdq1awkPD5dfc/v27QkKCmLs2LEkJSWxZs0a9u/fj4eHNP5SlSpVuHbtGr6+vgrLVcOGDVO4r7NmzcLNzY0JE6Sfjxo1anD9+nV++eXN52TJkiWMHTuWr7/+GoCqVasyZ84chg8fzvz589HR0QGgTZs2DBs2TH6NGzZsICAgAFdXVy5fvszly5e5ePEijo6Och1lDBgwgLZt2/L48WMqVqxIXFwcR44cYcuWLWrdW4GgpKCyASORSPD29mbz5s1Kf02+fPmywBQrztgYK05cmRob8TIugcTkVCzKqb5OLzG3KGjV1EbH8I0fhJlxzs6TJRkTE5O8hfJBs2bNCA4O5sqVK1y6dImzZ8/StWtXBg4cyPLly/Os37x5czw9PZk7dy67d+/Odj4iIoIFCxZw9epVYmJikEgkSCQSHj58qLKO8fHxPHnyhKZNmyqUu7u74+/vr1AmMyAAbG1tAekPGhmbNm1i69atPHjwgOTkZDIzMzX6YTNv3jzatm2rUFa5cmX5sZGRETVr1iQ8PBwAKysrrK2t5caLrEy2nBYaGkpqaqo8DYqMjIwM7O3tFfp529kZICwsLNsSeePGjRUMmJCQEK5fv86KFSvkZRKJhJSUFJ4+fYqNjQ2geP8AbGxs5PcvNDQUGxsbufHyLi4uLtSpU4ddu3YxefJkfvvtN8zNzfnkk09ylBcISjoqGzBr167F19eX8ePH4+3tzeTJk9HV1eW3335DV1dX/uvkQ+BOb1uF128ceVNyEldK8op9BaaTppg03yk/ntJrRS6SJZO+fftqVM/MzCxHQ/7Vq1fZnE0NDAzw8PDAw8ODiRMnsnjxYhYsWMDEiRNVigQ8Z84cmjdvzvnz57Od6927N7a2tixfvhxbW1v09fVxc3NT8L3ID28/7GXX8u45me/X/v37mTZtGvPnz8fV1ZWXL19y/Phx/vjjD7X7tba2plq1akrP6+srfnXp6OjkWCbzv5H937VrVzaD6t16pqamCq+zsrKy3Yd3kUgkTJ06lS5dumQ7Z2lpKT9+1yFYR0dHfv9U8aHr378/69atY/LkyWzfvp0+ffqgp6eXZz2BoCSisg/Mzp07+e677+SGSseOHfn++++5fPkytra2av3iK2mY5CMWjOD9pGbNmty8eTPbQyckJIQaNWrkWlf2C1tV35s6derQu3fvbLuRXr58SWhoKJMmTeLjjz/G0dGRhIQEXr9+LZcxNJQuaWZmZiptv0yZMtja2nLx4kWF8gsXLiidDciJCxcu0LhxY4YNG4azszN2dnZERESoXL8wcXR0xMjIiAcPHlCtWjWFv3dnYHKq+/fffyuUXb9+XeF1w4YNCQsLy9Z2tWrVshlIyqhduzbR0dEKTtjv8uWXX/LkyRN++uknQkJCNDbABYKSgMozMPfv38fFxQU9PT309fXlPjAGBgaMHDmSqVOnFtu4EoWNfAZGGDAfDIMHD2bjxo1MmTKF/v37U6pUKfz9/dm3b5/crwakcVt69OiBi4sL5cqVIzQ0lPnz51OzZk21jIPvv/9enjC1Tp06gDReioWFBVu3bqVy5co8fvyYWbNmKTwwK1SogLGxMSdPnsTe3h4jIyOFuDIyxo4di4+PD9WrV8fZ2Zlff/2VCxcucObMGZV1rFGjBrt27eL48eNUq1YNX19fzp8/n2N/efHq1SuePn2qUGZqakrp0qXVbgukM2Zjx45l5syZZGVl0axZMxITE7l69Sq6uroMHDhQad3hw4fz2WefsXLlSjp06MC5c+eyzSpNmTKFXr16YWdnR9euXdHX1+f27dtcu3YtmyOvMpo0acJHH31E//79+eGHH6hevToREREkJSXRsaM0ZlTZsmXp3LkzM2bMwMPDg+rVq2t0PwSCkoDKMzBlypQhLU36gLaxsZGvPYPUoU6VuBYlhVaHn9Hq8Jtti6U1XEIynjUM41nDClQ3dUm5MoaUK9Ls4ut+n8W632dpVZ+i5sCBAxw4cEDtelWqVOHo0aPcvXuXbt264enpyf79+9myZYtChmtPT09+/fVXunXrhqurK5MnT8bd3Z0DBw6oNfVfuXJlhg8fruA8r6ury6ZNm/j7779xd3fnu+++Y/r06QpRsfX19Vm0aBHbtm2jdu3a9OnTJ8f2R4wYwdixY5k9ezbu7u4cOXKErVu30qBBA5V1HDRoEF26dGHIkCG0bt2aJ0+eMHr0aJXrv824ceNwdHRU+FPFZyg3pk+fjpeXF6tXr6Zp06Z07dqVw4cP57mM5+rqyvTp09mwYQPNmjXjyJEjjB8/nlKlSsllPD092bNnD0FBQXh6euLp6cmyZcsU/HbyQrYk7+bmxrBhw3Bzc8PLy4uMDMXdjf369SM9PZ1+/fqpdwMEghKGTlxcnErBS7788ktatWrF6NGjmTBhAsePH2fu3Lno6+szf/58rKys+PPPPwtbX60THh5OkyCp46dsF9KeIwHs+/McPdu3oEd71QOjlR7wMZB9F1J4eHiRZPkODw+n4oOxgHQX0swtA4CC3YVUFNeSnz42btwIqLYLKTw8nKNtpXE4xkcWThDConzvi/P7Upz6yKmfadOmERAQkKNfUkH1oYz9+/czYcIE7ty5o5ETekl5X8RnpXj2U1TXAmosIY0cOZL79+8D0g9vSEiI/Evfzs5O5dDmJYEzX1RQeG1qIg2wpW403uQ5GwpMJ00p9dEq+fGIjnO0p4iWyMnpMjd6//F1IWkiKM5s27aNHj16ULp0ac6cOcPmzZuZOXNmkeqQnJxMVFQUS5cuZcCAAYW+g04gKO6obMC8HbfC2tqaU6dOERERQXJyMo6Ojh9UuG1nS8VYL6ayfEgp6hkwkqqq+0AUFnpl3ljKlSyralET7VChQoW8hd7Cur5NIWkiKM78888/dO/enfj4eBwcHJg1axYjR44sUh1WrFjB0qVLadq0Kd99912R9i0QFEdUMmDS09MZNGgQo0aNolmzZoB0+19u2xw/JEzeSicgEAhKHj4+PkU2La6MadOmfbAbJQSCnFDJidfQ0JCAgACNcpoow9fXlwYNGmBtbU2rVq3yXEtOT09nwYIFNGjQACsrK+rVq8f69esLTB918LkRj8+NePlrUw23URse2Izhgc0Fqpu6pN/bRvq9bQCcunGAUzfUd2h9n7l27RrXrl1TWf7isnNcXHauEDUSCAQCgSqovITk5ubG1atXCyR77/79+/Hy8pJPh/r6+tKzZ08uXryoNGrn4MGDefToEStWrKBatWo8f/5cIVFbUbIoOAGAaS7SgGWmJtIlpEQ1dyEZHpQ6y6Z3HVSA2qlHxn1phnHDav04HXIQgDYuXbWmT1Eji+ehap6vS8svANB0YrNC00kgEAgEeaOyAePt7U3fvn0xNTWlQ4cO2NjYZItOqaur2q7sNWvW0KdPHwYMkO56Wbx4MSdPnmTTpk3ZgnWBNCFdQEAAN27ckIcKVyWCaWEx1dlM4bWmMzDpXQYUmE6aYlDlTSCs1g3Vc2gtCTRq1EgtebcJ7nkLCQQCgaDQUdmAkSVA8/LywsvLK9t5HR0dYmJi8mwnPT2d4OBgxo4dq1Depk0bLl26lGOdI0eO4OLiwpo1a9i9ezelSpWibdu2zJo1S+PAVvlBNvMiQ+4Do+YuJG3OvMgwrPYmlsSHNPMiQ90M62LmRSAQCIoHKhswU6ZMyTMfiCrExMSQmZmZbfdHhQoVePbsWY517t+/z8WLFzEyMmLr1q28evWKKVOmEB0dzdatW/OtU34xMTZCRwdSUtPJzMwUuUkEAoFAIChkVA5kpy4PHjyQJ5d7mydPnuDk5MTRo0flszoACxcuZN++fVy5ciVbW127duXChQuEhobKw5KfOnWKbt26ERYWhpWVVY46vB0tuCC5nSg15JxKv7l103/cSXJqOt4Tv5Jvq84L4yeRAKTYam85zCA9CoAMQ3tiEp8AYFHaNrcqJYqEBKk/k5mZWR6SUl6FxQFQttaHl7lbIBAIiprcdv+pPAOjDpmZmTRs2JBTp07h7OyscM7CwgI9Pb1ssy0vXrxQGpPD2toaW1tbhZwqtWrVAuDhw4dKDZjC2PYYHh5O/2Bp4DpZJF4AaytLnsW8wsa2IjYVyqvUVmlvaSBAbUbirfBUGoDQtM0xtm7xBkQk3tz6OTcqABCReD+kPoqqH3Etxa+PoupHXItmqJwLSV2UpYY3NDTE2dmZ06dPK5SfPn0aNze3HOs0bdqU6OhoEhMT5WV3794FULprqTBpaGFAQwvFwH2aZKTOdKhFpkOtAtVNXXTNaqBrJs2eXNHCgYoW2psN0gaWlpZYWlqqLG9VzxqretaFqJFAIBAIVKFQZmDyYvTo0QwfPpzGjRvj5ubGpk2biI6OZtAgqVPr8OHDAdiwQRpqv0ePHixevJjRo0fj5eXFq1ev8PLyonPnzmpHUi0IAjpln/GRJXRMVMORN2XeTwWmk6YYN1ktPx75hWpZc0sSXbuq57j81RGRQE8gEAiKA1oxYLp168bLly9ZvHgxT58+xcnJiT179mBvbw9Il4XepnTp0hw8eJApU6bQpk0bzM3N6dChQ45brrWFqYlsBkZE4xUIBAKBoLAptCWkvBgyZAi3bt3i2bNnBAQEyFMUgHTb9JEjRxTka9asyYEDB3jy5Am3b99myZIlKjteFjaRCRkcfpTJ5edpLLj0nMiEDG2rJPhACAwMxNzcXB7C4N3XIP08NWrUCAsLi0LP3xMZGYm5uTk3btwo1H5k1xkXF5evdkaOHEmvXr0KSKu8yen9KQx27NhBpUqV8hYUCN5jtGbAvM/U3v2E2rulO3YiEzLo4hdDcLwusalZBEYl0MUvRiUjxmR8d0zGdy9sdXMlOagPyUF9APjfr+P536/jtapPUbNjxw527Nihsrxvk3X4NllXIH0/e/aMqVOn4uzsjJWVFU5OTowbNw5/f3+N23RzcyM0NJTy5d84ko8bN45OnTpx69YtFi5cWBCqK6Vy5cqEhoZSv379fLUTFBREp06dqFatGra2tjg7OzN06FDi4+PzrpwPOnToUKiJEnN6fzShfv36mJubY25ujq2tLe7u7mzerN20JAJBUaOVJaT3neiUNzmhvK8nEJGQCYbSJSTSU4lIyMT7egIbW+X+JaUbV7i/wlQhK/2l/DghJX+/Zt9HkpOT1ZJPepZUIP1GRkby2WefUbp0aWbPnk29evWQSCTs3buXSZMm8ddff2nUrqGhIdbWb5yM4+LiiImJoU2bNlSsWFFjfdPT0zE0NMxTTk9PT6F/Tbhz5w49evRg0KBB+Pj4YGpqyr179zhy5Ajp6en5aruoUHa/3n1/8sOUKVMYPHgwSUlJ7Ny5k4kTJ1K2bFm6detWIO0LBMUdMQOjAbd72XC7lw0AT5IzpYVG0q3VpEnzIUXLynMhaflekpbvLRQdVcW42Q6Mm0lnIL77cjnffblcq/oUNX369KFPnz4qyw++PILBl0fku99vv/2WrKwsTp8+TdeuXalZsyaOjo58+eWXBAUFyeVWr16Nh4cHFStWxMnJibFjx+a6bPL2EkVgYCBVqlQBoFOnTpibmxMYGAhI4yh5eHhgZWVF3bp1WbJkicLOwfr16+Pj48Po0aOxt7dn6NCh8uWhQ4cO0aVLF2xtbXFzc1PYUfjuElJmZiZjxoyhQYMG2NjY0KhRI1asWJFrYthTp05Rvnx5fHx8qFu3LlWqVKFNmzYsXbo0246xsLAwPD09sbW15eOPPyY4OFjh/KVLl2jfvj22trY4OTkxadIkpbM4I0eO5Ny5c2zcuFE+uxEZKY3VdO/ePb788ksqV65MjRo1GDx4ME+fPlWo26tXL5YvX06dOnWoU6dOnu8PvFnqCQgIoFevXlSsWJGOHTty//59pfdHhpmZGdbW1lSrVo0ZM2ZQvXr1bEvvMiIiIvjqq6+oVasWLVq0oGXLlhw7dkxBJj09nXnz5lGvXj2srKxo2LChQsLcO3fu5HoPBIKiplAMGD09PX7//Xetp58vLGxN9LA10ZMfA9kMGBuTvKPxZpWzJKuc6lt4CwNdIwt0jaT5pcqYlKOMSTmt6lPUmJqaYmpqqrJ8aevSlLbOX/qK2NhYTpw4wdChQ3NMhWFu/iZInq6uLj4+Ply4cIGNGzdy7do1pkyZolI/bm5uXLx4EYCtW7cSGhqKm5sbwcHBTJs2jY4dO3L+/Hlmz57NsmXL+OknxV1xa9eupVatWpw5c4ZZs2bJy729vRk+fDhBQUG4uLjwzTffKIQ4eBuJRIKtrS1btmzh0qVLzJw5k6VLl7J9+3aleltbW/PixQvOnj2b5zWuWbOG2bNnExAQQPny5Rk2bJjcEPv777/p1q0bn3/+OUFBQWzbto1bt24xZsyYHNtauHAhrq6u9O3bl9DQUEJDQ6lcuTLR0dEMGzYMJycnTp48ycGDB0lMTOSrr75SMMTOnTvH33//zd69ezl06FCeustIS0vjxx9/ZNasWfj7+/Pq1SsmTZqkcn0ZRkZGZGTkvHSdmJjIJ598woEDB9i5cyedOnWiX79+hIWFyWVGjhzJ7t27WbBgAZcvX2bVqlXy2FvR0dG0b98+z3sgEBQlai0hxcbG4ufnx6NHj0hNVdxto6Ojw/fffy9/3bx584LRsJgzo5EZV5+nExH7xoCpaqbHjEbFw8FYUPy4d+8eWVlZ8mCMuTFq1Cj5sYODA/PmzaNPnz6sX78+z+SphoaG8jAD5cqVky9drFmzhkaNGsk/rzVq1ODu3busWLFCHsIApPnPxo9/4xMlm40YNWoUn3/+OQCzZs1i9+7d3Lp1C3f37IkuDQwMmD59usI1hISEsG/fPvr375+j3l26dOHkyZN06tSJChUq0KhRI1q0aEHv3r2zzcCMGDGCli1bAtIllc8++4zHjx9TqVIlVq5cSdeuXRXyri1dupSWLVvy/PnzbCEYypYti4GBASYmJgrLPD///DM1a9Zk7ty58rINGzZQpUoVbty4Ic+nZWRkxOrVqzEyUi0St4zXr1+zZMkSQLpZYezYsYwePRqJRKJSgtzXr1/z66+/8s8//zB48OAcZerXry/3SzI0NKRNmzYcO3aMQ4cO8d1333H37l327dvH3r17adu2LYB89k52D+rVq5fnPRAIihKVDZhTp07Rv39/kpJy9gF414ApyYw/FwvAimblcDAz4GA7C2YGpBF0SQczg3QOtrPAwcwgj1bAaJP0Syvtm8KJ6qoKaXdWSHWpPZ5D5zcB0NnjG63pU9TIllRatGihkvxJL6mDrefCTzXuU1mQx5wICAhg2bJlhIWFER8fT2ZmJunp6Tx9+hRbW81SPoSGhvLRRx8plLm7u7No0SLi4+MpU0aarNTFxSXH+nXr1pUfy3R4/vy50v42bdrE1q1befDgAampqWRkZOQagFJPT4+1a9cyY8YMzp49y9WrV1m1ahVLly7l6NGjODk5yWXfnuW1sbGR61KpUiVCQkK4d+8eBw4ckMvI7n1ERITKMaRCQkK4ceNGjrt6IiIi5A9vJycntY0XkBo+NWvWlKc+sbGxISMjg1evXlGunPIZ0fnz57Nw4ULS0tIwNDRk3Lhx8lha75KUlMSiRYvw8/Pj8ePHSCQSUlNT5e/lzZs30dXVVfo5CAkJ4fz583neA4GgKFHZgJk+fTr169dnyZIl1KpVCwODvB/QJZVfwqSOnyuaSb9cHMwM8G1XkX7HjNDXf419adVuq0HAH4B2DZjXj/8EpAbM1TBpmPwPyYC5c+cOoLrJQI8sAAAgAElEQVQB89eum0D+DJjq1aujo6OjMH2fE1FRUfTq1Yv+/fvz/fffU758eUJCQhg8eHC+nFmzsrKUJmZ9u1zZ0trbn32ZvDKjbP/+/UybNo358+fj6upKmTJl2LhxI3/88UeeelasWJHevXvTu3dvZsyYQePGjVm5ciXr1r3ZBfZ2rrV3dZFIJPTv319hFkuGOsafRCKhefPmLFu2LNu5t40gdZYi3+bdfHGy68hraWb06NH069cPY2NjbGxsck22O3PmTE6cOMH8+fMxMDCgdu3ajBgxQj6O8jKqJRIJn376Kd7e3tnOaSOYqEAAahgwUVFR/PDDDwq/vj5UlntkT+RnaGCAibEhySnpJCanYmZqLD8XmZCB9/UEniRnYmsiXV5yMDMgdeDkolQ7Rwwdx8mPO7kP1J4iWkLdpc42Pp/ku89y5crh6enJxo0bGT58eDY/mLi4OLkjbHp6Oj4+PvIM5+86XmpC7dq1CQkJUSi7cOEClSpVKvDYShcuXKBx48YMGzZMXhYREaF2O+bm5lhbWyudAc6Jhg0bcvv2bapVq6ZyHUNDQzIzFR3wGzZsyJ49e7CzsytWP9zKly+v8rVdvHiR3r1707lzZ8LDw6lYsSIRERFUr14dkF6jRCIhMDBQvoT0Ng0bNuTAgQPF7h4IPmxUduJt0KABT548KUxd3hsGOpoy0DH7r62yZtKyVwlvvmRlcWJ+u5dCUHQ6v91LkceJed36C163/qLI9M4Jg0rtMajUHoAmjq1p4thaq/oUNU5OTgpLEnlRv09D6vdpmO9+Zbt+WrduzcGDBwkPDycsLIy9e/fKjarq1asjkUhYu3Yt9+/fZ+/evQq7QjRl9OjRXL9+HR8fH/7991/27NnDmjVrGDduXN6V1aRGjRrcvHmT48ePc/fuXf73v/9x/vz5XOts3ryZSZMmcerUKSIiIrh9+zazZ8/mn3/+oUOHDir3PX78eK5fv87EiRPly0nHjh1jwoQJSuvY29tz7do1IiMjiYmJQSKRMGTIEBITExk0aBBXr17l/v37nDlzhvHjx8uzmRd3qlevzh9//EFwcDD//vsvw4YNIy0tTeF8165dGTduHIcOHeL+/fucP3+e3bt3A9LAo/Hx8e/1PRCUPFQ2YBYsWMDKlSu5fPlyYerzXiMzYOLfMmDkcWLeQhYnRvDhUqVKFQICAvj444+ZPXs2zZo1o1OnTpw9e1a+VFGvXj0WLlzI2rVradq0KVu3bmX+/Pn57tvZ2RkfHx9+//133N3dmTt3LhMmTFCYJSkoBg0aRJcuXRgyZAitW7cmKiqK0aNH51qnUaNGJCcnM2nSJNzd3Wnfvj3nzp1j/fr1akXNrVevHkePHiUqKoqOHTvSvHlz5s2bl+uSx9ixYzE0NKRp06ZUr16dBw8eYGtri6+vL7q6unTv3p2mTZvy7bffYmhoqJHPizZYsGABFSpUoH379owfP54mTZpkc7pev349PXr0wMvLC1dXV0aNGiXfcm5ra4ufn997fQ8EJQ+duLg4lTwKJRIJXl5e+Pr6YmpqKt9e9zaaBt96nwgPD+dfo8oAfG5vrHDuR999XAoOZcI3XXFvJP1V3/HP5wRFZ/dXaGFjyFEbqdNepotHtj6KKrV61XLSeBT6lk2580Aau6O2Xc7Om5r2UZzTt8t21jg45J2FOzw8HL1Iqc1frW11jfr7M0q6zf7dsfN2H0X13hfn96U49VFU/YhrKX59FFU/4lo0Q2UfmBkzZrBx40YaNGjwwTvxfnVSGr02bpCiR75sBiYu/k1MDFsl8WBsTPQwXi7dtZX4y5lC0FI10m7OAUC/zTF2nJQGsZs/8Bet6VPUyML2Dx06VCX53wdLd7SMj9TM8VrZ2BEIBAKBeqhswOzcuZPvvvvug9kqnRvt7ErlWJ6TD4w8Tsxby0iyODGvr2ePm1HU6Fm4yY8dKztrURPtIMuAripVPVV3CM0JZWNHIBAIBOqhsgGjo6OjkDH6Q+bXthY5lst9YBLf5NeRxYnxvp5AdHImNm/vQproUyT65kaphm8CU33ddqIWNdEO7dq1U0u+06b85ZlRNnYEAoFAoB4qGzBdunTh+PHjtGrVqjD1ea8pWyb7DAxIjZi8EjsKBAKBQCBQHZUNmLZt2/L9998THx+Pp6enQr4WGR+6cSNfQoovmIzFAoFAIBAIckZlA+brr78GYNu2bWzbtk1erqOjI4/s+fLly4LXsBhivvkRkJMTr4m0PEE1A6b0gI8B7TrxJp36DADTNseYuWUA8GE58W7cuBFQ3Yl3hYM0/YOmTrzKxo5AIBAI1ENlA+bw4cO5hqoW5BwHRiAQCAQCQcGjsgGjaq6YDwFlv55LGRliaKBPWvprUtPSKWVkmGs72px5kWHa5k1o+g9p5kWGqjMvMjSdeZEhZl4EAoGgYFDZgPniC+Uh73V1dSlTpgzOzs7069cPKyurAlHufUNHR4eyZUx5HvOKuPhEbCoIx12BQCAQCAoDlVMJSCQS/v33X4KCgnjw4AFpaWk8ePCAoKAgwsLCiIyMZPHixbi7u8sz/H6IyPxgXiUk5yEpEAgEAoFAU1Q2YMaMGYORkRFnzpwhODgYf39/goODOX36NEZGRkydOpVr165haWlZIPlaijO9TsTQ60RMjufU8YMptWwapZZNK1Dd1CU1ZDapIbMB2H5iGdtPLNOqPkWNn58ffn5+Kssf/mY/h7/Zr3F/uY0dgUAgEKiOyktI3t7eeHl50bChYiZeZ2dnpk6dyoIFCzh//jxjx45l5syZBa5occLvQarSczlF41WGfvCFAtNJUzJjLsmPQx8Ga1ET7RAVFaWWfMTJe/nqL7exIxAIBALVUdmAuXv3LhYWOUcRtbS05N496Rd71apVSU4u2csnuzyV+7a8MWDyvgcpE34oMJ00xajBHPlxX88J2lNES3z66adqyX/xc9d89Zfb2BEIBAKB6qi8hGRvb8/WrVtzPLdlyxZ5TpmYmBjKly/ZX9Kf2xsrzSacU0JHZWS6eGTLRF3U6Fs2Rd+yKSDNQl2QmajfBxwcHFTKRC2jWtvqGmeihtzHjuD95ddff8Xa2lqtOvHx8fTt2xc7OzvMzc158eJFIWknxcLCgn379hVqHwJBUaKyATNlyhSOHDmCh4cHCxcu5Oeff2bhwoV4eHhw9OhRpk6dCkBAQACNGzcuNIWLOznlQxIIPnTMzc1z/Rs5cqS2VSxyfvnlF27cuIG/vz+hoaHF9oefRCKhatWqrFq1SqF8/vz5mJubZ/Mh69evH2PGjAHgxIkTmJubk5iY/Qedi4sLy5Yp+tzdvn2bgQMHUqNGDSpUqICzszOzZs0iPj6+gK9KUBJQeQmpR48eWFhY4OPjw48//khGRgYGBga4uLhw4MABPv74YwAWLFiAnp5eYelbLNgSKvVvGehomu1cGfkuJBV8YE7/DsDr1sq3qBc2GY+OAmBQqT1XQk8D0MSxtdb0KWpu374NgJOTk0ryt3aGAFC/T8M8JHMmt7FTkgkNDZUf+/n5MW7cOIWyUqVyztIt+54pidy7d4/atWvLx15xfUjr6urSrFkzgoKCGDt2rLw8KCiIypUrExgYKE+KmpWVxfnz5+nVq5fa/Vy8eJFu3brRunVrdu/ejbW1NTdv3mTWrFmcOHECPz8/zMzMCuy6BO8/Ks/AALRu3Rp/f3+io6MJCwsjOjoaPz8/ufEC0i+ikvqFI2PC+TgmnI/L8VySrhE3X6az++8Yhga8JDIhQ2k7pbYspdSWpYWlpkqkh64kPXQlAIcvbOHwhS1a1aeoCQoKIigoSGX5U9OOc2racY37y23slGSsra3lf2XLls2xLCwsDHNzcw4ePEj79u2xtrZm165dbNq0iWrVqim0J/tlL/O3k8kcPXqUxo0bY2try9dff01iYiJ79+7F2dkZe3t7Ro8eTVpamrydtm3bMnXqVCZPnoy9vT1Vq1Zl/vz5ZGVl5Xo9W7dupW7dutja2tK3b19iYrLvLDt8+DAtWrTA2tqahg0b4uPjQ0ZGhrzfzZs3c+rUKczNzenevTsAtWrV4qefflJop23btsyYMUP+ulatWixfvpzRo0dTuXJl6taty/r16xXqhIWF8fnnn2NtbY2bmxunTp1SOJ+VlYW3tzf16tXDysqK2rVrKxgn79KiRQsuXLhAZmYmAElJSVy/fp1JkyYRGBgol/v777+JiYmhSZMmud6/d5FIJIwaNYp69eqxfft2PvroI+zs7OjQoQMHDhzg7t27LFy4UK02BSUflWdg3kZXV5cKFSoUtC7vDQNqmeRYHpmQwbBLaTxJkkB6Ir/dS+Hq83QOtrPAwSy7UZfRqmNhq5on+hU/lx9/VOvDS8ZZu3ZtteTrfdUgX/0pGzuCN8yZM0f+cDUyMuLPP/9UqV5iYiK+vr5s2rSJ5ORk+vXrR79+/TAxMWHnzp08ffqUfv364ezsrBCBeceOHQwYMICTJ08SHBzMhAkTsLW1ZciQITn2c+7cOcaPH8+cOXPo0KEDp06d4ocfFB3yjx49ypgxY1i0aBHu7u7cv3+fCRMmkJmZyYwZM/jtt9+YMmUK0dHR+Pr6YmRkxPPnz1W+R6tWrWL69OlMnjyZI0eO4OXlRdOmTXF2diYzM5OvvvqKypUrc+LECRISEpg2bRoSiURe/7fffsPX15eff/6ZWrVq8fz5c27cuKG0vxYtWhAfH09wcDCNGzfm4sWL2NnZ0b17d6ZOnUpcXBzm5uYEBgZiZmam9ufq6tWr3Lt3jzlz5mRLWWNvb0/nzp3Zu3cvCxYsUKtdQclGIwPmQ2dFs3I5lntfTyAyTR/09CAjHf6+SISTK97XE9jYKvv6dto3+QtLXxAY1R4vP+7s8Y0WNdEO6qbI8Fyo3q6ld1E2dgRvGD16NB07qm/cp6ens3z5cvmGgq5du/LLL7/IZ3bq1KnDp59+SmBgoIIBY29vL38w1qxZk9DQUNasWaPUgFm3bh2ffvop48dLPzs1atTg6tWrHDp0SC6zZMkSvv32W7766isAqlSpwsyZM5k8eTIzZsygXLlylCpVCkNDQ7nzrzoGTLt27fjmG+nndezYsaxfv57AwECcnZ3x8/MjKiqKI0eOYGNjA8DcuXPp0qWLvP6DBw+oWLEiH3/8MXp6etjZ2dGoUSOl/Tk5OWFpaUlgYCCNGzcmMDCQ5s2bU7ZsWZycnDh37hwdOnQgMDAQDw8P9PUVHy2Ojo7Z2nx7t+q///6rVA6kPzT27NlDfHw8ZcqUUfEuCUo6ai0hCXLnSXIm6OhAPXfp//AQOPc7D2NFckeBQFVcXDTbCVemTBm58QJQoUIFKlasiLm5uULZu4bCu8sdTZo04f79+6Sm5hyzJywsDFdXV6VtZGVlcfPmTX744QcqVaok/xszZgxxcXHExeV/CbFu3boKr21sbOTXFRYWhr29vdx4eVc/gO7duxMbG0vDhg0ZN24chw4dki9v5YSOjg7NmzeXLxfJDBhAXi6RSDh//nyOPwr8/PwIDAxU+KtUKXteMGUJg2VLeiKhsOBtxAyMBjxJlq4D25ooOivLX1etC2bl4OpJiIkmM/wmYJetHZ1Y6bbJrHKWhapvbkjSpGv3ukYWxCfHAlDG5MOZJUhKkhqXpqaqOdUmPpXupihtXVqj/pSNHcEbTEwUl9l0dXWz+aTk9LB991e/jo5ONn88HR2dPP1b8iKv+llZWUgkEqZPn06HDh2ync/NEVXVa83pumRLRKpcX5UqVbh+/TqnT58mICAALy8vli5dir+/v1KH6pYtWzJr1ixiY2MJCQmRGzDNmjXDx8eHW7duERcXl6MBU6VKFUqXVvzMvH0NNWrUAKRO9bVq1cpWPzQ0FGtra+HEK1BAzMBogNOv0Tj9Gp2tfEYjM6qa/fdgsqwIdVwx1ocW5uk5tmM6oQemE3oUpqp5knKuLynn+gKweM8EFu/5sILZ7dy5k507d6os/7Pren52XZ+3oBKUjR2BciwsLHj16pXCjMitW7cKrP0rV65ke+3g4KD0Qe7o6JhjHRm6urrUr1+fu3fvUq1atWx/ue3StLCw4OnTp/LXSUlJ8iChquLo6EhUVJRCO1evXs0mZ2xsTPv27Vm0aBF+fn7cvHmTa9euKW23RYsWJCYmsmbNGuzt7alYsSIgNWBu377N4cOHKVeuHPXr11dLX4DGjRtTtWpVVq9enc0Ai4qK4tChQ/Tood3vSkHxQ2sGjK+vLw0aNMDa2ppWrVpx/vx5lepduHABCwsL3N3dC1lD5dgY62JjnP3WOZgZcLCdBT2rGdPCxhDPqmVpYmWIweucDRiJuQUS85yjGxcVOobl0TGU+ueYGZtjZmyeR42ShYmJSbZf/LlhamWKqZXmW6CVjR2Bctzc3DA0NGTu3Lncu3eP/fv3Kw2qqQlRUVHMnDmT8PBw9u3bx4YNGxg1apRS+eHDh+Pv78+qVau4e/cuvr6++Pv7K8hMnTqV7du3s2jRIm7fvk1oaCgHDhxg3rx5uerSsmVLdu3axYULF/jnn39y1UMZn376KXZ2dowYMYJbt25x4cIFZs+erbD88ssvv7B9+3b++ecf7t+/z65duzA0NKRq1apK261Zsya2trZs2LBBPvsC0hg/Tk5O/PTTTzRr1gxdXfXHt56eHqtXr+avv/6iX79+XL16lYcPH3L06FG6du1K9erV5bHGBAIZWvkm3b9/P15eXkyePJmzZ8/i6upKz549efDgQa714uLiGDFiBK1aaXe3zJ3ettzpbZvjOQczAza2Ks/vn1fAp4U1xnq6JCal5CibvGIfySu0GxnTpPlOTJpLZyCm9FrBlF4rtKpPUdO3b1/69u2rsvyQKyMZckXzoGu5jR1BzlhZWbF+/XqOHTuGh4cHu3fvZtq0gkuC2rdvXxISEvD09GTy5MkMHjxYqQMvSGcili5dyrp162jevDnHjx/nu+++U5Bp3749O3fu5OTJk7Ru3ZpPPvmEVatWYWeXfSn5baZOnYqrqyu9evWiZ8+eeHp6KnVsVYa+vj47d+4kOTkZT09Pxo4dy4wZMxQMi7Jly7J582Y+++wzmjVrhr+/Pzt37pTPqiijefPmJCQkKBgwb5e3bNlSLV3fplmzZpw4cQI9PT169eqFi4sL06ZNo3379vz555/CeVeQDZ24uLj8LQhrgKenJ3Xr1mXlypXyskaNGtG5c2dmz56ttN7XX39NvXr1yMrK4vDhw1y4UPTJEMPDw6lZs6ZKso+fxjBx/gZsrcqxfJbqDz11+sgPRdFPSemjqPoR11K0fbRt25amTZvi7e1dqP2ognjvi18fRdWPuBbNKPIZmPT0dIKDg2nTpo1CeZs2bbh06ZKSWtIlp2fPnmX7pVOcMTWRrqEnJokMxAKBQCAQFCRFvgspJiaGzMzMbIHwKlSowLNnz3Ks8/fff7No0SKOHz9eLNIUtDos1TOgk1WucqVlBkxyCllZWdm2ABrPGgZAyryfstUtKlKuSHOWGDdZzbrfZwEw8ovc1+lLEgcOHACkMUNUYVeHbQB8daSfRv2pOnZKEsVhnAsEgpKH1rZRv/swz+kBD5CWlsbgwYOZP38+VapUUauP8PDw/KiolJCYDJXbz3ydTmpaBrf++gfjUoYK51wiw5S2U1i6v4sk4V95f49jIgul76K4Fk37kGUAVrX+s7+e5qu/kBiTPOsX1XtfVO9LbuO8oPrQlHXr1qncRnEex8Wxn5LSR1H1I64lZ3JbjipyH5j09HRsbW35+eefFSJDfvvtt/zzzz8cPXpUQT4yMpKGDRsqzLxIJBKysrLQ09Pjt99+y7YcVZiEh4eTVM4BAGdLwzykYczsNTyPecXKOSOxtlSMr6IbIU1mJ6mq6KRXlOuh1aRBQNErU5NHLyIAqGSpfCeCJn0U5zVXWfAvVVJjhIeHUyZVGofCur5NHtI5E/xCuiNN2dgpiWvhysZ5QfZR2BT3cVzc+ikpfRRVP+JaNKPIZ2AMDQ1xdnbm9OnTCgbM6dOn6dSpUzb5ihUrZtti/fPPP3P69Gm2b9+uEHmzqFDFcJFhZmrM85hXJCalZDNgCuMLXV30yrwZaAVpuLwvqJvTS1PDRYY6Y6ekUBzGuUAgKHloZQlp9OjRDB8+nMaNG+Pm5samTZuIjo5m0KBBgDTOAsCGDRswMDCgTp06CvUtLS0xMjLKVl4ckTnyJijZSi0QCAQCgUB9tGLAdOvWjZcvX7J48WKePn2Kk5MTe/bskc+mPHz4UBtqqYzPjXgAprnkHZfAzMQYgKTk7DuRDA9sBiC966AC1E490u9JnVINq/Xj1A2pQ2sbF9UcWksCssijjRs3Vkn+4rJzADSd2Eyj/tQZOyWF4jDOBQJByUNrTrxDhgxRGizqyJEjudadNm1agQayUpdFwQlSPVR4CJU2lRowicnZZ2AMD/4CaPeLPeP+Dqku1fpxOuQg8GEZMNevXwdUN2AuLZfGHtLUgFFn7JQUisM4FwgEJQ+RzFEDpjqrnlAst1gw6V0GFJhOmmJQ5U0U2tYNu+QiWTJp1KiRWvJuE/KXwkKdsVNSKA7jXCAQlDyEAaMB6vx6ls3AJOUwA1McfpEaVnsTz+RDmnmRoerMiwxNZ15kfEgzLzKKwzgXCAQlD5FVrpCR+cAk5OADIxAIBAKBQDOEAaMBwS/S5fE88kLuA5PDLiTdiFB5jAxtkRkfTma8NOjQoxcR8lgwHwrPnz+Xx4JRhae3onl6K1rj/tQZOyWF4jDOBQJByUMsIWnAx79LH3hxgyrlKheZkMH//knj8vM0IkJj6Z2QgYOZgfy8yRzpdvHEX84Umq55kXp1LACmbY6x/o85AMwf+IvW9ClqDh6UOi4PHTpUJfndHbcDMD7yW436U3XslCSKwzgXCAQlD2HAaEBDC4M8ZSITMujiF0PEUyA1i9hniXTxi+FgOwu5EZPpUKuQNc0bXbMa8uOKFg5a1EQ7WFpaqiVvVc86X/2pMnZKGsVhnAsEgpKHMGA0QJVEfN7XE4hIyAQDI2lBRhoRCZl4X09gY6vyQPFIbmfcZLX8+ENK4ihD1SSOMjRN4ijjQ0riKKM4jHOBQFDyED4whcST5EzpgeF/Bkx6GmRlES0rFwgEAoFAoDHCgCkkbE3+Sz6pqwf6+pCVBa8zsDHRy72iQCAQCASCPBEGjAbU3v2E2ruf5Cozo5EZVc3+M1YMpcHs7I1eM6PRm0BmJuO7YzK+e6HpqQrJQX1IDuoDwP9+Hc//fh2vVX2Kmh07drBjxw6V5X2brMO3yTqN+1Nl7JQ0isM4FwgEJQ/hA6MB0SmSPGUczAw42M4C7+sJnDM3IUsnmbWupRR2IenGxRSmmiqRlf5SfpyQEqdFTbRDcnKyWvJJz5Ly1Z8qY6ekURzGuUAgKHkIA0YDbveyUUnOwcyAja3K432zPLdC4ymj81rhfNLyvYWhnloYN3sz+/Ddl8u1qIl26NOnj1rygy+PyFd/qo6dkkRxGOcCgaDkIQwYDbBV04+ltKksH5JiMLuscupt4S0MdI0s5MdlTMppURPtYGpqqpZ8aevS+epP3bFTEigO41wgEJQ8hA9MEWBqojwjtUAgEAgEAvURBowGjD8Xy/hzsSrLl/4vI3XSO/mQjDYtwWjTkgLVTV3S7qwg7c4KAA6d38Sh85u0qk9RExgYSGBgoMryJ738Oenlr3F/6o6dkkBxGOcCgaDkIQwYDfglLJlfwlR3/pTlQ0p4ZwnJIOAPDAL+yLFOZEIGQwNe0vHP5wwNeElkQobmCufC68d/8vrxnwBcDQvgalhAofRTXLlz5w537txRWf6vXTf5a9dNjftTd+yUBHIb5wKBQKApwgdGA5Z7mKslL5uBedcHJnXg5BzlH6XoMNEvRhrJ9z+uPk9XSENQUBg6jpMfd3IfWKBtvw80b95cLfk2Pp/kqz91x05JQNk4FwgEgvwgDBgNGOionuOnmakJAEkpiktIr1t/kaP8+ih9BeMFyJaGoKAwqNQekM74/BTdkCfJmdhGv2RGI7MCN5aKI05OTmrJ1+/TMF/9qTt2SgLKxrlAIBDkB2HAFAGm/83AJCSq5sT7PC3nlb3CSkMgTzxZBDM+AoFAIBAUBMIHRgP+jErhzyjVdxTJfGCS3tmFpHfjPHo3zmeTr2CUc7CzwkhD8PrFRQ5cO0NEQiZVuE0VbgNvZnxKOpGRkURGRqosf+/EXe6duKtxf+qOnZKAsnEuEAgE+UEYMBrw1cmXfHXyZd6C/yHzgUl4axdSZEIGxsu/x3j599mcdEfYv36ThuA/qprpKaQhKCjSbs5hqGQpAF/obOMLnW3ycx9C4kl/f3/8/VXfVfT74AP8PviAxv2pO3ZKArJxLhAIBAWJWELSgHZ2pdSSN5Vvo04hKyuLqMTXdPGLYZmFCwC/3UtRWLKpZJwlT0MQnZyJjYleofmk6Fm4ERKTDkBEVm2Fcx9C4kl7e3u15Kt6VstXf+qOnZLAa2d3basgEAhKIMKA0YBf21rkLfQWhgYGGBnqk5b+mrT0DLyvJxKRkEmX+t/KZd510pWlIShsSjWci01CBlVfxvBHQn95eWHN+BQ32rVrp5Z8p03d8tWfumOnJJA60UfbKggEghKIWEIqIizKlQHg+l//8kTJ0oy2lmxkiSd7VjOmhY0hPasZCwdegUAgEBRrxAxMEdGhtSsbdx9j5+HTWLfsmaOMNpdsimrGRyAQCASCgkDMwGiA+eZHmG9+pFadNh7O2FeqwPOYV7gl3KGqmR6vz/Tl9Zm+gPaWbJJOfUbSqc8AmLllADO3DChyHbTJxo0b2bhxo8ryKxyWsMJB87D4moyd953SAz6m9ICPta2GQCAoYQgDpojQ1dVlQHdpFNdzgZf4xd1Ifk4s2QgEAoFAoB5iCUkD4gZV0qhevVpVaNKgFlduhhF88SoNfjkDgOq//zcaBKYAACAASURBVAse0zbH5MfzB/6iRU20w9ChQ9WSHx/5bd5CuaDp2HmfSfxvnAsEAkFBImZgiph2rRoD8G/kEy1rIhAIBALB+4uYgSliKttYAvD4aYyWNRGoy6MUHf4X8FKaL6oQY/MIBAKBIG/EDIwG9DoRQ68Tmhkg5mVKY1zKkISkFPQXT6HUsmkFrJ16pIbMJjVkNgDbTyxj+4llWtWnqPHz88PPzy9PuciEDMb8bYSB9zHsfzzOb/dS6OIXoxBBWRXyM3beV0otm6b1cS4QCEoeYgZGA/wepOYtpAQdHR0qWltwN/IJpf66XIBaaUZmzCX5cejDYC1qoh2ioqJUkvO+nsDDVF0cwx7LyzTJEJ6fsfO+oh98QdsqCASCEogwYDRgl2f+4qXIDJhL7YbQwCl/oenzi1GDOfLjvp4TtKeIlvj0009VkpMFH9zxVUuFcnWDD+Z37LyPpEz4QdsqCASCEojWlpB8fX1p0KAB1tbWtGrVivPnlWerPXz4MF27dqV69epUrlwZT09Pjh49WoTaKvK5vTGf2xtrXL+StTSc/HVjWzJdPApKLY3Qt2yKvmVTAGrbuVDbzkWr+hQ1Dg4OODg45Cln+1+QwTDHSoQ5vtlJpG7wwfyOnfeRTBcPrY9zgUBQ8tCKAbN//368vLyYPHkyZ8+exdXVlZ49e/LgwYMc5c+dO0fLli3Zs2cPZ8+e5ZNPPuHrr7/O1egpzlT8z4B515E3POIRPmt3M2fVHi5cv60N1QRKmNHIjMqlJAplH0q+KIFAICiOaGUJac2aNfTp04cBA6RRXxcvXszJkyfZtGkTs2fPzia/aNEihddeXl74+/tz5MgRPDyK/pfdltAkAAY6mmpUv9J/O5FqhF9G/7Qxyc0/Y9WWQ1wOCQMgKSmZ5ZsOEHL7HgN7fEIpI8OCUTwHMh5JZ7IMKrXnSuhpAJo4ti60/oobt29LDUUnJ6dc5RzMDFhdN42j+58Rn55FZjsnjXYh5XfsvI/on/4dgNetv9CyJgKBoCRR5AZMeno6wcHBjB07VqG8TZs2XLp0SUmt7CQmJmJubl7Q6qnEhPNxgOYPIWsLc3R0YMCLq7DlKv5GdlwOCaOUkQGftfqIpMR4zly5w+kLIVy9GUZL13q0aeYi34JdkKSHrgSkBszhC1uAD8uACQoKAvI2YAAqGWdRafN5KgHjf2imUX/5HTvvI6W2LAUgURgwAoGgAClyAyYmJobMzEwqVKigUF6hQgWePXumUhsbN27k8ePH9OrVqzBUzJMBtUzyVd/AQB9ry3IcS6mEm0ttLt64I223+ye08XAmPDycTz92Z8POI/x7/wlHTl/BL/Aa8yb2p7pDxYK4BDn6FT+XH39Uq1WBtv0+ULt2bbXk633VIF/95XfsvI9ktOqobRUEAkEJRCcuLi6rKDt88uQJTk5OHD16VGH5Z+HChezbt48rV67kWv/QoUOMGDGCn3/+mfbt2+cqGx4eXiA6FwYb95zgn38f0qu9B3uPXUCSlcW8cb0obaro4PngyQuOnLlOaMRjPnatQ+e2rlrSWJBfHqXosD5Kn+dpulQwkjDC/jWVjIv04ycQCATvFTVr1lR6rshnYCwsLNDT08s22/LixYtsszLvIjNe1q9fn6fxArlfuKaEh4cXSLv160QR+SSWG3cekmVYiuemNnz7wJrnqVmUIR0nq9LMaGRGm5o1sbKxZf7KnTx7lVKg11RQ1/Ih9JHffiITMpjoF0NEgmzbtR6hqaWyJfF8H67lQ+ujqPoR11L8+iiqfsS1aEaR70IyNDTE2dmZ06dPK5SfPn0aNzc3pfUOHDjA8OHDWbt2LZ07dy5sNXPlSXKmPC6IplS2saC8JJXYhw+58iydOyb2XHvxmqjETP5K1FOI9FqraiUMDPSIfPiM+MTkAroKKZK0GCRp0t1Q8cmxxCfHFmj7xZ2kpCSSkpJUlk98mkji00S1+/G+nvCW8SJFFgivpKMT+wKd2BfaVkMgEJQwtLILafTo0QwfPpzGjRvj5ubGpk2biI6OZtCgQQAMHz4cgA0bNgCwb98+hg8fzvz58/Hw8ODp06eA1BgqV65ckevv9Gs0kL/MwhWtLdmWdBYA/cyWYFslm8zbkV4dq1bmyu0IBuy5RYZttQLLxZNyri8gzUq9eI80kN2HlJV6586dgOpZqX92XQ+on5VamcGrbiC89xHTCT0AkZVaIBAULFoxYLp168bLly9ZvHgxT58+xcnJiT179mBvbw/Aw4cPFeQ3bdrE69evmTZtGtOmvcmp0qxZM44cOVKkugPYGOd/4qqitQUxOkZkSLKgnDWUynlXiuwBZ21vx5WAUFJu3gOdygBcfZ6ebQlCXXQM30SGNTPWzq4ubWJikrNTbWRCBt7XExQSNwKYWmm2e8hWScC7yMRMIhMySnRSSIm5hbZVEAgEJRCtpRIYMmQIQ4YMyfHcu0aJNoyU3LjT2zbfbZiZGjPU5jOCol6BvfJ0ArJIr6fSLUl5DTzPXy6edzFpvlN+PKXXCo3beV/p27dvtrLIhAy6KPirSI3FZbV0GHJlpEb9zGhkxtXn6dI2s7Kkfzo6RCVm0sUvJt+GaHEmecU+basgEAhKICIbtRZxqVsDl4plsHesleP5qmZ6DKxlzNCAl5xLLQP6BpD4ClLe+GB8CEsQRY0yf5X1UYr2fvA/dwmLUJwtVIadqR4TTO9jcnwrHPoJDm+EE7sgIfaD8YURCASCgkQkc9QiI7/uyLCvJDxKkUgfmvEZPEvNoizp1LYqzcBaxow59+q/h6kOWNpCdBQ8fwT2joD6uXg+VHJaElI245Gjv0pUKHdjJKS3q4Suji6b9/pzIugG+vq6LJ0+DJsK5ZUuO007HkHwieNkxT3H4PV/26Z1gKQEuHgMWnXD/4EOQwNe0recDoa56KrOdQgEAkFJRhgwGtDqsHQLeEAnq3y1YzJb6qzsMO8nhWUg6TY0e4YGvFScCahQScGAKYhcPClXxgBg3GQ1636fBcDIL+blq83ihrIloYPtLLh+4g8AunbtKj+XzV/lxRO4foY4Iwk/NglGT0+PQNckwl+9JjUzi+4//sH/xvV8y9iUciE6ldTIcF5cPAOZmWBsik7bnqBvCJmvIfAQvIqBqyd41fRzfruXwllDIwzuvOBh0pu8SzJdAaXXUZyNGONZwwBImfeTljURCAQlCWHAaEBITEaBtKMXGZbr+WwzAZbSXU8Gz6PoWFmXOU3z/+CSJPwrP34cE5mvtooruW1hdn2RfXuvgr8KwP2/MdaH2uYGGMcCZHI90ZDE+q3h6kli//mX7jtukmpR+U0jkkweXr4M/96UvnZwhPoeZOn/l9dK3wDc2kHAfnj2EM7/AfaOPLWpAoaKK7tvLzEpu478+EEVNnmNc4FAINAEYcBowJkvcg+4pyrJczbkej7bTECZ8lDeGsu053yacgcHs/znLCr10Sr58YiOc/LdXnEkty3MXbp0yVbuYGbAwXYWeF9P4MGLeKJeRVHTyojpg9uT8UUWywIjSKzaAEqZgGNj+PsSqTeCoHUP0NOHmGi4GQivXoKuLjRoBlXqyNt3MtejXnlD/B/o8KrJp3DxqHSW58UT0NODuk2hal3Q0ZHXiYjPIDLx/dyKndc4FwgEAk0QBowGOFsWTHZoSVXHXM9nmwnQ0aGSW3MqXTuM92/n2JLmgL2Veb78IPTKvImYWMmyqkZtFHdy28KcXCrnWSwHMwM2tirPAb/b7DbX46MGNSlXtjQ1P6qJj74dRKdLBavVh/u3pc7VRzaBsRkkxUvPmZpBozZgYaPQdr3yhmxsVZ6hAS/5LcMWPukDTyLg0V3pLrOb5+BpFFSrJ9+x9NcLXVKz9CA9VdpXRhrYOICFLXfiMhga8LLY+sPkNc4FAoFAE4QBU4x5eyYgOjkTGxM9BtaqxddhVYh9Fs6jgCAuNfZ8L/wgCpvcnFtnNDLjSnQK90PDIDVZ6n9iWpaoyjVy3cKcmZnJ8aDrAHzaojEgNSQVDCI9PWjcGq6fkRoWSfHSWZcaDcGxkXRG5i3e9luSG6gYS2doqtSBR/cgJACePpD+/UdqThf9700oXZbnjo34LbWWGAcCgeCDQhgwGvD/9s48PKoi3f+f7s6+kEASkpCVAEmQNcguKgOILKOOgjrIHREEHa/jdea6AHf0N+OIojKo13GUcUO9KsrmDEiiKMMiyo5sSkKQkED2lexJp9O/PyrdSae7s3R3Trqb+jxPfKRPd31PvefUqfdUvfXW6h/EG/bKlD52leP1+XoAGm9fbPU7hpEAA8v2llE+aBxc/BkunYeEEWTR3+Y4iMYL/yfOJeE3/PuHzwGYlnJ7Rz9xOnLrVO32GTINbvWqq+K6c6kUnLxEfVObH9ZcYfCQPvxpiwrPgSONjsXyL89zubAU39pyfEuuMDAihJHJAzl//jwHX/mOeQ3NHB08pFWvXwTM+DU0aaGmEi8fHxq9zRPexQZouDnam0/O17EyxdPooM74opji+pbVSVEJ0K8/nD0C9TWg1gAqaNaJP08v8A8ClRounRNO07Hd4ONPFlHM+KKYqQN8nGo0piv3uUQikXQX6cDYwIsnRECl3Q7MP0XK/u482PNrdeAXKKYuMk/CmQMw5Vab4yC0Fz8W55LwG3af/Cfg/A5M+9GWwgpPi8Gtyw9UUJuVwY/79uClbyKgTx/q+8WLaZkLpyH9GDMHx4AWnrgwhAMF9dRlnKT02AFjOb4e8Ku5I1G1xKMcelUc++eZiaaOB4jA3KAQRoZ6UNqgNzmngYEa/nlzCKM2ixVshnsnLtCTqQN82HShrrUc3wAY04X4pqHjhKOTeQKO74Zpd1KMN5su1DnVaIwt97lEIpF0hnRgbGD5aPuWLhto/NWibv/GOH2RmAI5GSJgND+LiEHDbDoHz/jWTLS/GGUe0OpsWFoS7aWyEONSWsDX+75HV1Ys/h2VgN+1N4K6JX7JLwBOH2BnZpXYhypAy+XT6XC6xXkZMBC8vKnz9uM73yEsaSl2wu8nAVYcjxYG9vHk3TGBJlN/hhERS/eOWawT4K2Ghmazrxrx91BR06SGoWOhJBfKi+H0dyLmBudanWTLfS6RSCSdIR0YG7B35MWALW+krZ2dt1gBc+o7AjMPs+I/x9l0Dl4JvzH+v7OPvIDlJdGNOj2oW1bsaBvEqFR2hohY8fGDYRMgegi1KhX+HlDThBjBqizn64x0yDgBmlOga/EYRl9vsmoou1bPsr1lXCjxJmHMUPMYlnYjLQZnxZLzYOneaRvrdKG0moSQAGq0zaReajD7bpiPiqkDfNokOQSunQa7N0NOplhq35Lk0FlWJ8mRF4lE0hNIB8bFaNvZ5YeNIq8knWiqSD9xikG/GG93+c6e6dVkSbRe3zKF8gOawGB0fcNF4Gt9rQikHTJa/Hm0nv/QYA8G9vFkT14DxaOmgH8fsQKoomWkpt2SZ4CzFU0cLWkCNByrNJ2eaR9kbau9DA5PZmYpQ4bEkl2l5WxFqcVpKEP5/7zZg1XHq9iTp6Z4+CQ4uR9+2CNiZeKvMWZptpYhWCKRSFwZ6cDYwIkSsYTWluXUbTuTybUXuT/Zj/Bh3Zv+aft2/0XYTJ7438949L1dvF89AE9fHyq1+i47H7rKTEAspz6Wk8ljB65worZ1s0pniqWANlNozc1wch9kZwDgUVNBiLaSCm0zjf3CIeVGCOxr9vuBfYTtDFNRjUMSYEgCuY1eYvQmwHRHbjFV0xrnEplXRj2wKkwshbY20mKNrt47XXGODNrZVVp+5TmSrCYt/HgITnyLR2MdhWHj+FVaEQeLtdS38fsMG1MOsaDbE6izxDWSy6klEokjkQ6MDUzdLt7WKxZHdet37eM39ux5ArbBj69/bZODkF2l5amcYPL9IqA4j693H4ARk43Hu+J81B99BAD/aV/yz3+v4nrgBM8bjztLLIXB8btQqcVPo6f28DeQlyWWMY+dToO3H9QVER/oz7nAeLFKpx1tlzAbHISdn24H4AnvOeDta/xukKeKmTE+ZFU1cbS4NfPyb9/6CoBvxtgW19Gde6erzpGhLiuCJvCNlyfaH/bT9NNR9l34CQaNgL79wcsHvLzBy4esKrj3B2+CMwro76tmYKBHj460+f1ZbJlR/cGeHilfIpFcnUgHxgZGhdj2oG8fv3EsIB6Av9roIKw6XsXF6mYYNgn2boGsH0UG14AgoGvOhzpwsPH/az2iqNbqxfLcnAwYdxN4+fR6LIVZ4G52hpj28fSCibONieKKCMcnQAMWMtbGBmjMnLm4QE9qvIMptxAtOzPGx5hsrq0DkxcpRnVs3UTT1nunM+ICPQnwUqONGwbeAXD2sMgE/OMh8y97eFLZP5rKhOHkhERytFhLak49Q/t69Igzo4uzvNu6RCKR2IN0YGzA1k0c26e0nzD2OQCut9FBMJYXHAoxiZBzDn46BONnGr/TmfPhO+514/9XxjzOpp9r4aePoa4G8i6YxFL0FiaOX0Md/HgQ9MCo682y3Pb3UaFRaTqMHWnL7bf/il99VQoWAnHBPFD3Hw/OEuXZGEdi7wagHWG8HyLiIDxWxAPlpIuYIG2DyOLb2CDy1eRlib8+fSFhODXRQzharOdosdbh04ZyE0eJM2ItNkzGi7kO0oFREGsp7W11EEzKGzpepKLPy4KCixAR3+2ynxoTyIH0S1yuqxEflBUwcMSIXm/EJo7fT4dFJxwWBVGDzL7b0RJmS3QWa2JphZCzBTYbMLkfVCqIiBV/bdHrRYK87HS4+BNUlsOJb8VITUvQc1aVjlu+LGX7LOeJfZI4N+2dgYV9lYuxsgVL6RgOFNSDSmW2E7xS8WLOvoDCGZEOjIJ0tOzW7vJ8/UUHlH4MDn0FSdcSP3Zct8qOC/RkWVAh6/zVNOj0BDeV8rkTBPAaO+ayAtHxqtUwagr+niqxJLqFzpYwW6Oz77dfIeSsWLq/2qIGmlUqkSgveazIJZSXBRfOQFmhcA5L8+HaaeRU+3S4zUJXkQ9l96Lt9Qz0UKFSQWGdjvSKJpO2eMDHmx0DtU57rS2lY7hcq0cM7baSVaVjXY4HU0d2rdy2sXrF9foux5hZyia+7WId06O8WT0hqFft6MxtWDowNpD8aT4A6b+O7OSbprR/29/6rwcI8FTRMH+rTefRvjz/AZPI7+fBxWOHaTh/jIb6Yp4M+CUaTw+rK5Nq998DgN+UT3jps0e5Ul3DyH4JhqME0wj07s1q7JgPiH2JGDyKgZEhvH5dEO+fq7NrZOTjj0Um4oULF3byTcE7494EYOmRh7qlY8DWe6crtL8fAlo6mCqtvmUfLUPumJaHpFoD0YPFX0EOHP+3mHbavRlSppJFtMUYKkudWKVWb/L/kX4apvuqefFkKXu/+i0AsZP/bnV6ypkfkr2NrZ1i29+2vVbZZd5Uneh+ALelUQu0LbmKPL1Nvnu5Xm28dzqbqmnrCHWlfkZ7lHjT/2KJyT3X1bpY3KG++oqIq2sTzA+wv8zD4map7a9LH0/h8LR15HKqdV2KMVuX42HmUDU0Q+qlBvbmF3can2bNsTTYM8xbLT674k1CXtc3frV0zZ3FsQLpwNhEQV0HKVI7oe3bfsCn5VAH5unKbCsPIHvyTGZ/0J8r+74m/2IO+du/grHTxZQC5iuT9I1lxt9W1VWg9oC+QQFEhPXl7PlLZGblMnZk7wZhxgV6sn6CJwu25tHo58H1MybwzGRRh+sife0aGamtre3W92uKamzSMWDPvdMVOhtNMuSO+amomiq8CPKEC1U6aiJiYeo8OPoNlBXB9zsgLolU3URGFjUaH4J1Tc2my7L1etA2ik0rNabTlV+ovahr1jGgscL4maXAckc+JO3p7Dssr6TrD35L52DoQLrb0VqyTVc6xewqLSsOXmF3foO4Vnq9iIGqqxYr0nzV5FSruhzAnV2l5ZYvS8mp1omyii6J0dCCbPHv/tEQMwQGJLTs3yXi7yyd//aLdehpk2larxcbrGo8QKUy1q/9s8qsTmig0vTpmZpTz8BANZVarNrdYENA3Lv5WWIBRHmxSIgZHieSQYZFgYcn1TqV2fYcZvWqrxUjxFdKoapc2MDTS2z7EjmQmoCgljppzcpZdbyK/WUewgaXz4tR0PIiUWZ4LDUxiRzVRnG0WGuxXVh0LEGU11BHjq4JPLzE+Xh4cqyyzmr7an/vVmubKWswHZXqjmPV06gqKir0nX9NYiAzM5OAKDFCYS2mpauoyksA0PcNNdMYMsS2Wddle8tEevsrpfDtv0TAZuJouGaC8Tt3Jvi2TIlkMihWdCRq7xA++HwHX+07xoxJE/D18eKfOw9w202TuOe2LuzLYwV76tKWLWn72bhjH5PGJPP7JXc4TKOmRjgk/v7mmy+2JzMzk8g+YuQkIDzAJj3Dm5+1e8dR9uqMtjomnVOzTuxynXFUZCbWqMUDPSJOHGuog5oqqK6A2kpoqBcdkIeH+E5EPOibobZaZEGOGUKkVmx+mu8tVnBdH+HF9tlhxoflnrwGiustO3YDAzXGkTZLozPt62HxQY7I59PVh23bh3j7qRFvNZ0++I2/0euhskyMUgT2NXmzt1ROZmYmXhHx5h1IfTPUVomdzuuqRccUGS+mAi3YyXgOVyqFg1FwUXTOTa2r6fDwgD79oH+MuG5BoaBSWTwvo12vNIoONvMEVLU4paqW/+hbupHAYBFcHzqA2AANw/t6mGaULskTU5Z11S0B5Y3CPs16sb1HVMuIYFAIYCnzdMu1bWwQTpRKBRpPUR8PT/Hn7Ss67JaXtrZE+6loKi+m4KczYhuW6iutBz09hY0MPaJGDSGRYoFE9BBQqZgd7U2Al1rcs3U6KM4VsWQFF0UdrNE3TCTIjBkCag2RviqSgjzEy0B9A2T9BD+fEu3JEj5+wi4xiRAUYnI/m2TtbtKKci78KNpqe/qFQ8JwsVWKWmOywMGk/ej1UJgjFnLU1Yi4ueZmYV9PL7HSNbAvxCaDp5dJOUo9w0COwNiEvY6LgfaOiyMwDo0GhYhl0AfT4NwJ8dY1aCSoVOzJayC7SjzM1N7iQaHX6zl+Kged1oPxo5NobBTHMy/mOvwcu4ter2f3wZMA/GLSaIeW3RXHpS22Oi4GHHXvOJK4QE+2zwppeXghYmMi4+H091B8uXXFkjU8Wh78l38Wf2059wP5wyeJTrKFCD+N6cOyukI8wC9nirL6hYsdviPjycKfu74pM3EijhY3tnbWbaYRjhRrRadSUwmVpcKJV6shanCnb8CGoXfjCFOTvsVhqBIPcLUG/PvQ4N+H1EsY3z5NRqWa9OLtuzhXvEWX5ImO1oCPr3irjxxIQ/8YYzmGEQNvnTd52iJRV50O8i+IDqS00LwzOnNAdIbx10CfELKq4JYvy2gG0TFn/iCmBdvi6SWchPo6UV5ZkfhLPyYcjyGjaYgebHy7NpxXVWMT5T9niqzXtdWiLF9/oR2bJGycdwF+Pi0cm/3bITKOnNAo8vuFgbZJOCyXM6E4z/I9pFaJsjNPiL8B8XDNBIoJZtOFOlJz6kVCyYY6oXPhjKlDZnZPeojRj6BQ4aipNaBr4nJxrrg+Rl01BIdBXLJYFNDUCJcyxYKIihIoyhV/2ekwcgpf5gShb24W9T1/UgTBg3CW+kdBUJhY2QdidKe8SIzwlBdD+V7IOAYJw8nvE0K+t6+wSdZPrXUxrCjtFy6m5XLPi/OpviJeLM6fgtBIaoaM5qg2mqO51agaasV5XCmB7LOtTpBaBd5+YmSrqVHci2WF4s/XDwYOJysumanbdAR6aYSzXF4pHEPDtbRGiZgKJ24o0Hv5wqQD42aYdJDhMWJfnx/2wZmD4s15xGSK6+FXX5WaRNefPZ9DQXE5QYF+DB0UQ02dePCev5hHU5MOD4/e6Xizq7Q8vu0njqYXERTUh6Co6F45D3enbfzMzkv1XAnsC5Pnis4797x46BniA3wDRMZi/z4tD0iNGCHI/Vl02p5e4OMv3uCqKkRQua8fhEbhGR5NQcgQZqc2kFdUDj8egPzs1hNpqBf36aXzcGo/hERSEzVITE20jGCIVVItnTUaKK8RWoU5UHRZnHNbzh6F0EjRSUUOJKsKZu0obn0DNgzYaBuhMLu1HGtvwwFB1IQO4GhgsOgYm3XCaSjNN/+Nr794e64qF47DpfPiT6MR0wORAzkTECQ6QF2LM3elVNi8bVle3qIj9g0QnV3BRZEPKTtDdFT+QcIe2kYx9QBCwzAq1j/aNLajsV5c08JsYf+qCji+R6Qo6BtOTVAIZ9Qa8b2SXJFTCIyODtGDjVNFAAwchjoumebME3DuuCgzPxszF8PTCwaPhLBoUScPL9FRq9XCfrnnxZ5eeRfF6FFoFPgGUKPRCBtXlraOkIREiDrpmoRNDH8NtdDUJDp1g4PRFg8P4XxFDRIvem3r4eHZugVJQ51wPs4eER32vzdhNsbi4wcDrxH3lo+VlyFdk3B4zv0g7HzmoPl3wqKEZlgUKpWqVSfpWkgcIxyhS+eEw1OS3+pA0D7sGOjXX6xKDR1gOgrVpBVlXDgjzuOnw5BxjPKAYMrVauHg1FS2ft/XX+QVCwoRddNoRBmNDS33c63JNi29kS9MTiF1k8zMTF4vEiMn/3udear67uD93l8BaFjyuJmGrUNwFofRL2eKh1Nzs1hWO+FmUKmZFablg8H/okmnY+UmH/T+6QyMDue/F/wRgD88u468wjKef+I+BsUNsOl8HFKX3V+JN/vkaxk4boJZEKg9Gt9++y0A119/faffzczMJOddMRIx/YWZnXzbMo9+Jx6o1u6d3phCao9xGtJemnWQ9RNvZn0EuiYeqmuJpdJoxNB8SZ64JzUeokOMHyoyKJcXirfAwkviOIipir7hoqMzxEt4+4oDhTmmb+PePuKtuk+IGPrOuyCcAxDTBJHx4lhAjgZbTAAAIABJREFUkOjo6qpFZ16U07qhJ4jOKSBIPLybm1qmzq4IfWv4+EHYANHxhkQKJ0/VMsVSXSE65bwL4o28M4JChE3ColvLMVB9RUwVlOSJcts+xT29xDRBwnCzgFSLNOvE1FDbEYX2+PrD0HFi1Kcly3Wkr4qUUC9jkLgxa3Vtlbh+ZYXCGTOM/PQJER19u4BfM+prhNOQk2HeO6vVwhlLTBGjdJbQ68WIQ/UVMSpRWQ7oxT3j4w+xiZ2fA7Ru/NrYIPJrXcoQ00QqlZg+GTTC3JFDTFcmBKq5oqU1xqwJMbWalyXu69pKYafgMOG49G3ND2WYpsqq1HK23RQm2kYxyvLzKairFbb18hYvFEEhEDJA2MfC9JmJfYouw4XT4lza4uEpHJ8BA83qpgY6iuBrG5ogp5CcmA/OiTccex0Yz71fAOYOjD1YWolyyCuRMt9AOPSlGFYuugzhsewv86ApLw2AwpIbSIy/QnlD65zwkPgo8grLOJeVa7MDYw+rjleRVVIt3oJUQGySw4cq09PTga45MABnNpwCbHdgHHXv9CSdLcc24KOGif098fNUU6XVE+Ch4mSZlrzalsecWgODRrDs0mXwgIcG3yeuZUm+uAdVQFySeFv08RM/AZqDQ8Wbn7YB8i+KkZ3iy6JDtEZwqBil6R8jHuRtH+AjrxNlZKcLxyEnE8g0L0OFGKmJjBflBASbdwTNOjG1UJIn3kD1OtHJBoeJB397R8NYdkunF9hXdFh11S2dWU5LDEiz6JwDgoRuWJRw2NqU1dcLAr00olP0CKJmVMs926QVnbVGIzogL1+zgOq21yq7vNY0gLtJI6aCYhJbR4AqywC9mHr28Rc20bR2F5aSQxqzVvsFihGOdpuiAniooM3WYibnVVSno6heT7V3AGUpU8XoQ2WZsJW2UXTyffsb3/q9VHomh3sZf2vs7FUq4aAYvt8J0X4qs/wvhpii+/aUU4w3jL5B/FnAcF3CfdXEWwmoFjFmiFEfC/mr2uq+MDHIeuCypxcMHiXCAfR6cc9YOJ9J4d5Ge4b7qgltmer8vrCRRlRidD48RjiL9XXivlZrWqbbLG/DYpi2teRY2ZMOxB6kA2MDr04O7vxLXaD+vsccUk572q9EWba3jE2NEeKmN7zZhMdSrVPx5IW5eGb/iBYVU66ZR7+g1pswcWAUew+dJuPCJWZPHdcj59oR+bU6MWesaxZD4X7i3Bw5VDllypRufX/a6pvs0nPUvdOTtHWCsyq1Jg/BtsuyLQXDWhoB/F3S/aLTGjBCvLXWVgmHJDhMxCi00PYhufNSPVfwFh1rbJKYyqgoFm//Go1xhQVNWuE4tNuE06Szr/KmxtChVpYJ56OqAmquiM7QN0A4DhHxYqShHT5q0On1aPUq8ZDvFy7+OqDtW3jbDsQ4ZeUbIGwxaESXrkl7h8E0ANpTOHAWzuGavh5mnap4Q441ltPaQbZxsqxgCKq1dO274viODhG7wXeUZNJ4DxFobPNtMexTtrBvGVNHRpv8ztI9a+JUW6kLYDGZ5dQBdR2ORnaU5duAaYyZZdt4qfTMiPYxCw6PC/Rkw02hJnUTzoPK6ijLjGhfqy94e06d5+Pyfq2B8z7+Fqe+rDll10WKET3D+XQlWWhPIh0YG7gvqXuBn9Zo+sUtDimnM4wPlthESD8i3mob60Gt4eNdNVDXn8kzxnPz+Okmvxs6WDzkjp7O5HJBCdERtgUd25rjI1hbJSL8VcA1442fO3Jrg6FDh3br+yPuGWWXnqPunZ6mu8kA2/6ufebinJjZpitR/AKNwX8G2u5VdV2kr/k0lpePGBXpApY6e+Mqqz79xF8X8FHDtJYVOVlZ2Xxc3s/ysL6V33SUr6Ojcto7P5be6k12Im/XMXZ2Dm2x3kGaf7ezzrrttd91qYYyrYU3+T6d31eGcozXrB2GfcoyM0vNfmepbEs2slQXS799akwgB/JquFzfWhdrjmFX6mQtR1N7Z8zS7w3n19G16mwkJMpXz9sjLd83bcvoilPW2xv8gnRgrgpaG48X205G01BwWcx5N9aLedTgUNQW3gSb/IMoDBtM1pkfmfTUBhJvmU9/P89u5bOwlGGys712DA30h3370aBHF5tk7HR6a6hS0nXaZy7OrtJytsL626elB6alt3lLQ/1tpxGsjQx15Q24/XRY+3IaWx78YPr22b4j6qw9WOuIiur1BNFIcv/uJWTsbCuMrtLReVlzojoqZ8+pMv5wLsDmrOPWrpkt7d8eG8UFevL6sAY+Lu9n92hDR51+e2esq+XYOhJibZS1O06ZMyAdGBtIyxFvhrNjuxAg1wGaH74HQJcy2e5z6gzDTV98fiR7tl1uycVQw00Dy+GaRIL9PUi/9AMAyTEprR565DhIvwjFxRzbf9BkJAQ6TzhmKcNkR3EsRt3sXMgUqzX8ho9jWJhnjzSu7GyxAiYuLq6TbwoufCOWCSfMsD6P3RGOundciYTzR/hmQBMrtMO73Olb63TAdKi/szdXa+V11/FoX5Yj3j7bl9N2aseechx9XrYQ5au327FylHNmKMvWOkW1cV6dDXvq5SyjKPYgHRgbWLBLLCmsWBxlVzm+r/4PANUf7LH3lLrMX28fxY3f7KKmJYHT+7eKgMaSMXfzzpZXAXj2vg9a9wrx9IIx0+C7bSK3xKVzIuo9ciAkXUtDs4rUSw2crbC8b05xg/kwMliOYzEO9ecVw5GvxYeDRlLr6U98oEePNLadO3cCsGzZsi59f/v9nwPwaLZtgdeOundcCd9X/4c44O1u3ufWHrCmnb5tb66SnscR9pbXTNIR0oGxgZtjfBxSTtPoSQ4ppzsM7ufL72eP5r0vj1DXpOdU0wiSQ3yIC/QkKbo1SZzJXiGhkWKlyNnDIsdGXY3IC6HXi6WVWB9VCfNuBsxjVgxxLGYZTAvyRN4QbaPI85CYAvRcjoHY2O698Q6cntD5lzrAUfeOK9Eb97lEInF/pANjA5/NCHFIOfV/WO2QcrrLPTMncOHcBUYnRTNp5u3Gz/9jxh+M/2+WMTYxBRKGtWRzLIBjuyHjeEsip2GAZSfjt7FNZNT7WJzHNgkka9ZB5kmx6qi5WeQhuHaacemmIwN323LzzTd36/u3vndH51/qAEfdO65Eb93nEonEvZEOzFVIVEQob656hMxMC7kwWrC4JNLDS/z5BYrEYD/sFdlSG+thyGgTJ6N1EzwvkoM8GBrsYRJvALSuMigvghP7RP4JgEHDYfgkY8IsGbgrkUgkkvZIB+YqJrdOxUt7yywub+4oF0hdUzMHNcnUN9SJdNRnj+KR9zNnmq7n1w066nV6vk+/ROPJ70W+Db8AgoMCmRvny/GiBmZv11DqH05DQIjYBTb3gjgh/0CRLCqsNSiz7fJaiUQikUgM9JoD88477/Daa69RWFhIcnIyq1evZvJk66tx9u/fzx//+EfS09OJiIjg0UcfZcmSJQqecSvB68VmYPYGYgYsmgooG8RrILtKy+9+9OZQ+D3gDVEX3iUiS0whPXvfB0DHAXTZVVpWxU3mx4RIzu3dQ9OVcs6mbuOsr59ITtZ2I7nKcioqy/k0t22m9jab/mk0kDACksaY7K3RlXwE9vL2228DXQ/i/d84sf2DrUG8jrp3XInevM8lEon70isOzNatW1mxYgVr165l4sSJvPPOO9x5550cPHiQmBjzZFUXL17krrvuYuHChbz11lscPHiQxx57jJCQEG677bZeqIHrs+p4lUlypu5icG6WAT+pQsUuqdlnxY6ydTkiHfXgUSJupr4O6qvRAag0In11Sa5Iyd4vHJLHisyk2JYkSiKRSCRXH73iwPz973/nnnvuYdGiRQCsWbOGXbt28d577/GnP/3J7Pvr168nIiKCNWvWAJCUlMTRo0d5/fXXe8WBcdTbc2++kRpWGUVlv2v87G/657k+wqv75Wg8xOhJYorYr6aiCMJjW9O7+/gD7bL4xiWblRUboGH7LGWni7o68mLA1pEXA1fTyIsBOfIikUh6AttfwW2ksbGREydOMG3aNJPPp02bxqFDhyz+5vDhw2bfnz59Oj/88ANardmG7ZIuYLbKqIXurvYxKUelEkufB40025vG36OD3VER00VKOy8SiUQicV0UH4EpLS1Fp9MRFhZm8nlYWBhFRUUWf1NUVMTUqVPNvt/U1ERpaSkREZa3Ve9olY099FS5Smos7KvigI+3yTRStE8zC/uWdSs5mKVy2uKl0jOxr457IptY9bOXyfd81c0M9tMT5dvMb2PraCyoIrPAtvoocU2U0pF1cT4NpXRkXZxPQykdWRfLDBkyxOqxXgviVbXbSVOv15t91tn3LX3elo4qbisi3bfjy1VaYwjwOuft3uNjCLBjoPW9YUSq98EATBraMzuYKmEvpXRkXZxPQykdWRfn01BKR9bFNhR3YEJCQtBoNGajLSUlJWajMgb69+9v8fseHh706yfTTNuKo/b46OomZTItuEQikUgcheIxMF5eXowePZrdu3ebfL57924mTJhg8Tfjx49nz549Zt9PSUnB01PGTEgkEolEcrWhuAMD8PDDD/PJJ5/w4YcfkpGRwfLlyykoKGDx4sUAPPjggzz44IPG7y9evJi8vDxWrFhBRkYGH374IZ988gm/+93veuP0JRKJRCKR9DK9EgNzxx13UFZWxpo1aygsLGTo0KFs3LjRuLHe5cuXTb4fHx/Pxo0b+Z//+R/ee+89IiIiePHFF2UOGIlEIpFIrlJ6LYh36dKlLF261OKxHTt2mH02ZcoU9u3b19OnJZFIJBKJxAXolSkkiUQikUgkEnuQDoxEIpFIJBKXQzowEolEIpFIXA7pwEgkEolEInE5pAMjkUgkEonE5ZAOjEQikUgkEpdDVVFRoe/tk5BIJBKJRCLpDnIERiKRSCQSicshHRiJRCKRSCQuh3RgJBKJRCKRuBzSgZFIJBKJROJySAdGIpFIJBKJyyEdGIlEIpFIJC5Hr+1G7Qro9Xr27NnDoUOHKCoqQqVSERYWxsSJE7nxxhtRqVQO0/r555/NdCZMmMCgQYMcUr4SdZH2cl4daa/u0dP2Avdpk+7U7pXSUEJHyevSW8g8MFbIy8vj7rvv5scffyQpKYmwsDD0ej0lJSVkZGQwYsQINmzYwIABA+zSuXLlCr/97W/58ssv8ff3JzQ0FL1eT2lpKbW1tcyaNYt169bRp08fp66LtJdz6kh7dQ8l7KVUXdxFA5S5Lkpde3dqk72NdGCssGDBAqqqqvjHP/5BVFSUybHc3Fx++9vfEhgYyCeffGKXzoMPPsipU6d45ZVXmDhxosmxQ4cO8Yc//IGRI0eybt06mzWUqIu0l3PqSHt1DyXsBe7TJt2p3St17d2pTfY20oGxQlRUFGlpaYwcOdLi8ZMnTzJnzhxyc3Pt0omNjWXr1q2MHTvW4vHDhw8zf/58cnJybNZQoi7SXs6pI+3VPZSwF7hPm3Sndq/UtXenNtnbyCBeK/j4+FBeXm71eEVFBT4+Pj1+Hmq1/ZdIibpIezmvTkdIe3UPR9gL3KdNOsM1Acddl97WcJSOs1yXnkY6MFa44447eOihh9iyZQtlZWXGz8vKytiyZQv/+Z//yfz58+3WmTVrFv/1X//FkSNHzI4dOXKERx99lNmzZ9uloURdpL2cU0faq3soYS9wnzbpTu1eqWvvTm2yt5FTSFZobGxkxYoVfPTRRzQ1NaHRaADQ6XR4eHjwm9/8htWrV+Pl5WWXTkVFBUuXLmXXrl0EBgYSEhKCSqWipKSE6upqpk+fzttvv01wcLBT10Xayzl1pL26hxL2Uqou7qIBylwXpa69O7XJ3kY6MJ1QWVnJiRMnKCoqAqB///6MHj3a7kj09pw7d47Dhw+b6IwfP57ExESHaShRF2kv59SR9uoeStgL3KdNulO7V+rau1Ob7C2kAyORSCQSicTlkDEwHdDc3MzZs2fJz883O1ZfX8+GDRscplVdXU1zc7PZ51qtlu+++87u8pWoi7SX8+pIe3WPnrYXuE+bdKd2r5SGEjpKXpfeQjowVrh8+TLXXXcdkydPZtiwYSxcuJCKigrj8crKSh5++GG7dcrLy5k3bx5xcXFER0ezcuVKGhsbTY7fcsstdmkoURdpL+fUkfbqHkrYC9ynTbpTu1fq2rtTm+xtpANjhWeeeYbg4GAOHjzIV199RUlJCXPmzKGkpMShOqtWrSIvL49PP/2Uv/3tb+zcuZP58+dTW1tr/I5eb98snxJ1kfZyTh1pr+6hhL3AfdqkO7V7pa69O7XJ3kbGwFghOTmZDRs2kJKSAohhvWXLlnH27Fm++OIL9Ho9ycnJJkvUbGH48OG89dZbTJ48GRAR6gsWLECtVrNp0yaqq6vt1lGiLtJezqkj7dU9lLCXUnVxFw1Q5roode3dqU32NnIExgpVVVUmkdqenp68++67JCcnM3fuXAoKChyiU1paarIfRXBwMFu2bKG5uZl58+ZRU1Njt4YSdZH2ck4daa/uoYS9wH3apDu1e6WuvTu1yd5GOjBWiI+P58yZMyafaTQa3nvvPZKSkliwYIFDdGJiYsjIyDD5zM/Pj82bNwOwcOFCuzWUqIu0l3PqSHt1DyXsBe7TJt2p3St17d2pTfY20oGxwowZM/jggw/MPtdoNKxfv55Ro0Y5ROfGG2/k448/Nvvc39+fTZs24e/vb7eGEnWR9nJOHWmv7qGEvcB92qQ7tXulrr07tcneRsbAWEGn01FTU2M14Y9OpyM3N5fY2Fi7dCoqKsjPz2fo0KEWj1dXV3PixAmmTJlis4YSdZH2ck4daa/uoYS9wH3apDu1e6WuvTu1yd5Gs2LFij/39kk4I4sWLUKlUhEVFYWvr6/ZcbVaTVBQkN06zz77LDExMURFRaFSqcyOe3l52X2TKVEXaS/n1JH26h5K2Avcp026U7tX6tq7U5vsbaQDY4WcnBw2btzIU089xZ49e7hy5QphYWF274PRnh07dvDyyy/zyiuvkJ6eDog5Uk9PT4dpKFEXaS/n1JH26h5K2Avcp026U7tX6tq7U5vsbeQUUicUFRWRlpZGamoqe/fuJSEhgblz5zJ37lxGjx7tMJ1jx46RmppKamoq2dnZ3HDDDcydO5fZs2cTGhrqEA0l6iLt5Zw60l7dQwl7gfu0SXdq90pde3dqk72FdGC6QU1NDd988w2pqans3LkTPz8/5syZw5IlS6zOZ9rChQsX2LFjB6mpqRw7dowxY8Ywd+5c5s2bZ7L8zh6UqIu0l3PqSHt1DyXsBe7TJt2p3St17d2pTSqJdGBsRKfTsX//ftLS0rjmmmu49957e0SntLSU1NRU0tLSmDRpEo888ojDNZSoi7SXc+pIe3UPJewF7tMm3andK3Xt3alN9jTSgZFIJBKJy6DT6SgtLUWlUtGvXz80Go1Laiilk5OTQ1FRESqVirCwMJdfedQWmQemAw4ePMjTTz/N2rVruXz5ssmxiooKh2zs1RlZWVk9rpORkdHjeQEcqZGVlcXbb79tTLvdFkdtUqbUte/te8xd7i+ldJSwF7hem1RCY/v27dx8881ERkaSnJxMUlISkZGR3HzzzXzxxRcuo6GUzt///neGDRvG6NGjuemmm5gxYwajR49m2LBhvPHGGw7R6G2kA2OFtLQ05s6dy/fff8/GjRuZPHkyX331lfF4Y2OjQ7dWt0Z1dXWP6zQ2NnLp0iWX0Dh48CBTpkzhr3/9K48//jgTJ07kxIkTxuOO2CZeqWvvDPeYu9xfSukoYS9wrTaphMb69etZsmQJSUlJvP3223zxxRds376dt99+m+TkZO6//36LiducTUMpnZdeeokXXniBxYsXs2vXLk6fPs2pU6fYtWsXS5Ys4YUXXmDNmjV216W38ejtE3BW1q5dy5NPPsny5csBePvtt1myZAnr1q1z6BvYiy++2OHxoqIiuzU6G5EoLy93CQ2A5557jrvvvpuXX36ZhoYGVq1axa233srmzZsZP368QzSUuvZK6LjL/aWUjhL2Avdpk0pd+9dee421a9dajNW47bbbuPbaa3n55ZdZtGiRU2sopfPBBx/wxhtvmD1HYmJiSElJYciQISxfvpwnnnjCZg1nQDowVsjIyOCdd94x/nvZsmX079+fBx98kObmZiZNmuQQnRdeeIH4+HiLyYZAjCjYy6effsq4ceOsJi6qqqpyCQ2AU6dO8eqrrwLg7e3Ns88+y4ABA5g/fz4bN24kISHBbg2lrr0SOu5yfymlo4S9wH3apFLXPj8/v8P2MHHiRLs3KFRCQymdsrIyEhMTrR4fMmQIFRUVdmk4A9KBsYK3tzfl5eXEx8cbP7vtttsAeOihh/jTn/7kEJ24uDieeuop5s2bZ/H4qVOnmDp1ql0agwYNYtGiRVY38HIVDRAZJGtra00+e+ihhwC48847ef311+3WUOraK6HjLveXUjpK2Avcp00qde2Tk5N59913eeGFFyweX79+PcnJyU6voZTOmDFjeOmll3jzzTfx8vIyOdbY2MjatWsZM2aMXRrOgHRgrDBy5Ej27dtHSkqKyee33XYbzc3NPPDAAw7RGTVqFCdPnrT6wFSpVOj19i0UM2hYe8i4igaIxn/o0CFGjBhh8vlDDz2ETqdj2bJldmsode2V0HGX+0spHSXs1VbH1dukUtd+1apV3H333XzzzTf84he/oH///qhUKgoLC9m7dy95eXls3LjR6TWU0lmzZg233347gwcPZtKkSSYaBw4cwM/Pj88//9zuuvQ2chm1FbZv3853331n1UvesmUL69evtztiPD09nbq6OrNOzIBWqyU/P9+upW+FhYU0NDT06PI5JTQAPvzwQ/bv389bb71l8fhrr73GO++8w6lTp2zWUOraK6HjLveXUjpK2Avcp00qde0BsrOzee+99zhy5IgxFql///6MHz+exYsXExcX5xIaSulUVVWxceNGixrz58+3utGjKyEdGIlEIpFIJC6HnEJyItw54VBPIO3VPaS9uoe0l+00Nzej0+kcvhGiO6OkzbRaLQUFBcTExPS4Vk8i88B0wJYtW1i0aBGPPvqoSa4REOmeHZWgqbcTDp0+fZp+/frZXY60V/dRwmbSXt2jt+0FrtMmtVotf/7zn7n55pt59tlnAXjllVcYMGAAAwYMYNmyZTQ0NNil0RVcxV7gHDZLT09XJLlkTyMdGCt89NFHPPjgg6jVanJzc5k5cybvv/++8bhOp3NIgiZnSThkb6CdtFf3UcJm0l7dw1nsBa7RJl944QU++eQTxo4dy44dO/jDH/7AO++8w2uvvcZrr73Gd999x5tvvmmXRldxBXuBc9nM1ZFTSFZ48803eemll1iyZAkAX375JQ888AANDQ08+OCDDtNRIuFQZ0nRampqUKlUNpcP0l62oITNpL26h1IJwNylTW7ZsoXXXnuNWbNmcf/99zN27Fjeeecd7rjjDgB8fHxYs2YNv//97+3ScRd7gTI262x0RavV2ly2MyEdGCtkZWUxffp0479nzZrFxo0bueuuu9DpdMyfP98hOkokHDp48KBx3w1r59B+uLS7SHt1HyVsJu3VPZRKAOYubbKgoIDhw4cDkJCQgJeXl/HfACkpKQ7bQsQd7AXK2KywsJBf//rXDBo0yOLx/Px81q1bZ5eGMyAdGCv06dOHwsJCk+VsEydO5LPPPuOuu+6isLDQITpKJBxKTExk5syZVrdMP3XqlN05AaS9uo8SNpP26h5KJQBzlzbZp08frly5QnR0NCDe/AMCAozHtVqtQ0bf3MVeBp2ettnQoUMZNmyY1bxYp0+flg6MOzNmzBi+/vprs/11Jk2axKeffspdd93lEJ2XXnqJO+64o0cTDhmSTVnD29vb2JhsRdqr+yhhM2mv7qGEvcB92mRSUhKnTp1i2LBhACabkQL89NNPDBw40G4dd7EXKGOzCRMmcP78eavHAwICmDx5sl0azoDMA2OF/fv3c/jwYf77v//b4vFvv/2WDRs2OGRVQk8nHGpoaECn0+Hn52f3uVpD2qv7KGUzaa/uoUQCMHdpkxkZGXh5eVntcD/77DM8PDysZjbuKu5iL1DOZlcD0oGxwo8//mj0kF1dx100lNKRdXE+DaV0ZF2cT0MpHXeqS1paGtOmTcPb27tHdXobzYoVK/7c2yfhjIwdO5b333+fnJwcvL29iYmJcchcbkc6Pj4+REdHO1xHibpIezmnjrSX7Ro9Za/2Oq7cJt312rt6XRYuXMiqVas4fvw49fX1REdHW91h3ZWRIzBW0Gq17Nu3j7S0NNLS0qirq2PmzJnMmTOHGTNmOGwoUwkdd9FQSkfWxfk0lNKRdXE+DaV03KkuAJmZmaSlpbFjxw5++OEHxo4dy5w5c/jlL39JfHy8QzR6G+nAdJHjx4+TmppKamoqWVlZ3HDDDcydO5fZs2cTFhbmUjruoqGUjqyL82kopSPr4nwaSum4U12Ki4uNzsy+ffsYOHAgc+bMYe7cuVY3LnUFpANjA1lZWaSmprJjxw6OHj3Kc889Z3W5mrPruIuGUjqyLs6noZSOrIvzaSil4051qa2tZdeuXezYsYOdO3fy8MMP89hjjzlUQymkA2MnZWVllJeXW00Y5Eo67qKhlI6si/NpKKUj6+J8GkrpuFNdmpubKSsrIzQ0tMc0ehLpwNhIRUUFaWlpLFiwwCHlVVdX4+fnh1ptuj2VVqvl8OHDXHfddVKjBZ1Ox8WLF4mNjcXT05P6+nq2bdtGQ0MDs2bNcsiwqxIaSuq0Z/bs2axbt84kaZcraiihc+rUKS5cuEB4eDgTJ07skcBOpXRcVaO8vBwPDw8CAwMBsZJn/fr1XLp0idjYWBYvXsw111zj9BpK6fztb3/jV7/6lcvvNt0Z0oGxkdOnT3PjjTdSVlZmVznl5eUsXbqUPXvyEEi1AAALdElEQVT24O3tzaJFi3jmmWeMWUCLiopITk62S8ddNADOnTvH7bffTl5eHrGxsfzrX//i3nvv5eeff0av1+Pt7c3XX3/N4MGDnVpDKZ1t27ZZ/Hzx4sU899xzDBgwAIBbb73VqTWU0lm6dCmvvPIKgYGBVFdXc++997J79240Gg06nY7Ro0fz+eefExwcbLOGUjruogEirf/vfvc7fvnLX7J3717mzZvHtddeS2JiIufPn+fYsWNs3ryZG264wak1lNLp27cvarWaqVOnct999zFnzhw0Go1d5+2MSAfGCp3tRZGens7dd99td4f82GOP8f333/OXv/yFyspKnn/+eaKiovj000/x8/OjqKiIpKQkysvLr3oNgHvuuQe9Xs9TTz3FRx99xL///W8GDRrEBx98QHNzM4sWLaJPnz689dZbTq2hlE7fvn1RqVQd7tSrUqnsuo+V0FBKp1+/fmRkZBAWFsbTTz/Ntm3bWL9+PSkpKZw5c4alS5cyffp0nn/+eZs1lNJxFw0Qm2nu3buXhIQEZs+ezeTJk3n66aeNx9euXUtaWhrffPONU2sopdO3b1/Wrl3Ltm3b2LdvH6GhoSxcuJDf/OY3JCQk2HX+zoR0YKxgeFhaQ6/XO+ShPHz4cN566y1jWueKigoWLFiAWq1m06ZNVFdX2z1y4S4aAIMHD2br1q2MHDmSmpoaoqOjSU1NZdKkSQAcOnSI+++/nzNnzji1hlI68+bNw8PDgzfeeIOQkBDj56Ghoezfv5/k5GS76qCUhlI6ffv25dy5c4SFhTFp0iSefPJJbr/9duPxnTt3snLlSo4dO+b0Ou6iARAdHc2uXbtISkoiMTGRLVu2MGLECOPxrKwsrr/+ei5fvuzUGkrptL0uFy9e5MMPP2TDhg0UFhZy3XXXcd9993HLLbeY7fflaqg7/8rVSZ8+fXj++ef597//bfHP3rdvA6Wlpcahb4Dg4GC2bNlCc3Mz8+bNo6amRmq0oaamhr59+wLg7++Pv78/ERERxuNRUVEUFxc7vYZSOlu2bGHKlCnceOON7Nq1y66yelNDSR3Di4th2rMtycnJ5ObmuoyOu2iMGzeO1NRUAAYNGsTp06dNjp86dcrYlpxZQ0kdA/Hx8fy///f/OHPmDB988AG+vr488MADDB061GEavYXczNEKI0eOpL6+ntGjR1s8rtFoOhzK7ioxMTFkZGSYJBby8/Nj8+bNzJ8/n4ULF0qNNkRERJCbm2sMTnvmmWdMIuhLSkoICgpyeg0ldR555BGmTJnC0qVLuemmm/jLX/5id5m9oaGUzjPPPIOvry8qlYqCggKTB31ZWRn+/v4uo+MuGk899RR33HEHtbW13HHHHTz99NNcuHCBpKQkMjMz+cc//sHjjz/u9BpK6ViaPdBoNNxyyy3ccsstXLp0iY8++sguDWdAjsBYYf78+R3uIxEeHs7y5cvt1pk6dSoff/yx2ef+/v5s2rTJIY3fXTQAbrjhBjIyMoz/vv/++43R/AB79+5l1KhRTq+hpA5ASkoKe/bsoaysjKlTpzrE+e4NjZ7WmTx5MllZWfz0008kJyebxcLt3LnTIVNVSui4iwbAtddey5YtW9i3bx9PPvkkZWVlrF27lgceeICPPvqIFStW8Mgjjzi9hlI6nbWJmJgYVq5caZeGMyBjYHqZiooK8vPzrQ7nVVdXc+LECaZMmXLVa3SFrKwsvLy8iIqKcmmNntT57LPP2LdvH08//bTJlJWraSipY+DixYt4enr2+LVXQsdVNUpKSrh48SLNzc2Eh4f3yPJ5JTR6UicnJ4fo6GizdBbuhnRgOiA3N5f33nuPQ4cOUVRUhEqlIiwsjIkTJ3LfffcRHR3dozoTJkxgyZIlDmn87qLRkY4jr0tvX3sl6jJhwgQWL17sMhpK6VwN197VNJTSkXVxLaQDY4UDBw5w5513Eh4ezrRp0wgLC0Ov11NSUsLu3bspLCxk06ZNTJw40el13EVD1uXq1ZB1uXo1ZF2cU8MZkA6MFaZOncr48eN56aWXLB5fvnw5hw8fZvfu3U6v4y4aSunIujifhlI6si7Op6GUjqyL6yEdGCtERETw7bffMmTIEIvHz507xw033EBBQYHT67iLhlI6si7Op6GUjqyL82kopSPr4nq4d4SPHYSHh3Pw4EGrxw8ePEh4eLhL6LiLhlI6si7Op6GUjqyL82kopSPr4npoVqxY8efePglnxNPTkyeffJL8/HwaGhooLy8nNzeXY8eO8Y9//IOXX36ZP/7xj6SkpDi9jrtoyLpcvRqyLlevhqyLc2o4A3IKqQO2bt3KG2+8wYkTJ9DpdIBIBjR69Ggefvhhk5TZzq7jLhpK6ci6OJ+GUjqyLs6noZSOrItrIR2YLqDVaiktLQUgJCQET09Pl9VxFw2ldGRdnE9DKR1ZF+fTUEpH1sU1kA6MRCKRSCQSl0MG8UokEolEInE5pAMjkUgkEonE5ZAOjEQicSrmzp3L3Llzu/Wbb7/9ltWrV9Pc3NxDZyWRSJwN6cBIJBKXZ//+/bz44ovSgZFIriKkAyORSCQSicTlkA6MRCLpNbZs2cK4cePo378/EydOZPv27SbH6+vrWblyJZMmTSIqKorExETuvvtuzp07Z/zO6tWrefHFFwEIDQ0lODiY4OBg4/Ha2lr+9Kc/MXLkSMLCwhg5ciR//etf5WiNROLiePT2CUgkkquTPXv2sHTpUmbOnMmqVasoKSlh5cqVaLVaBg8eDEBDQwPV1dU8/vjjhIeHU15ezrvvvsuMGTM4cuQI4eHh3HvvveTl5fF///d/fPnll2g0GqNGU1MT8+bNIz09nSeeeIJhw4Zx5MgR1qxZQ3l5Oc8991xvVV8ikdiJdGAkEkmvsHr1ahITE9mwYQNqtRgMTkpKYsaMGUYHJigoiL/97W/G3+h0OqZPn05iYiKbN2/m4YcfJioqigEDBgAwduxYPDxaH2ubN2/mwIED7Nixg+uuuw6AG2+8EYAXX3yR3//+94SFhSlSX4lE4ljkFJJEIlEcnU7H8ePHufXWW43OCwgHJDY21uS7n3/+OdOnTyc2NpaQkBAGDBhAdXU158+f71Rn165dxMTEMGHCBJqamox/06ZNQ6vVcuTIEYfXTSKRKIMcgZFIJIpTWlqKVqulf//+ZsfafpaWlsbixYtZsGABy5cvJyQkBLVazZ133kl9fX2nOsXFxVy6dInQ0FCLx8vKymyvhEQi6VWkAyORSBTHsCdLUVGR2bGioiJiYmIAsSFdQkICb775pvG4VqulvLy8Szr9+vUjLi6O999/3+Lx9qM9EonEdZAOjEQiURyNRsOYMWPYtm0bK1euNE4jHT16lJycHKMDU1tbaxLTAvDpp58ad9c14O3tDUBdXR2BgYHGz6dPn862bdvw9/cnMTGxJ6skkUgURrNixYo/9/ZJSCSSq4+YmBjeeOMNTp48SWBgIIcOHeLxxx/H19eXfv36sXDhQiorK/nkk0+4cuUKnp6e/Otf/+LVV19FrVYzZMgQfvnLXwJiKmjr1q14eXnh6+tLYWEhkZGRDB06lG+//dY4glNXV0dmZia7du1i1apV3HrrrW61O69EcjUhd6OWSCS9xubNm3nhhRfIyckhISGBP/7xj6xbtw6AHTt20NzczPPPP89HH33ElStXSElJYfXq1fzHf/wHU6ZMMTomOp2O5cuX889//pPS0lL0ej0VFRWAyCXzyiuvsHXrVrKzs/Hz82PgwIHMnDmTJ554wmyERyKRuAbSgZFIJBKJROJyyGXUEolEIpFIXA7pwEgkEolEInE5pAMjkUgkEonE5ZAOjEQikUgkEpdDOjASiUQikUhcDunASCQSiUQicTmkAyORSCQSicTlkA6MRCKRSCQSl0M6MBKJRCKRSFyO/w/j977m9VC39gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_rate_trend(WW_case_trend, 'arate')\n",
    "add_lines(WW_case_trend, 'arate', 1.2, 0.3, [\n",
    "    (\"01/23/20\", \"Wuhan Lockdown\"),\n",
    "    (\"01/30/20\", \"WHO global pub health emergency\"),\n",
    "    (\"02/12/20\", \"South Korea\"),\n",
    "    (\"02/13/20\", \"China revised reporting\"),\n",
    "    (\"03/08/20\", \"Italy lockdown\"),\n",
    "    (\"03/13/20\", \"US National Emergency\"),\n",
    "    (\"03/19/20\", \"California Shelter in Place\"),\n",
    "    (\"04/12/20\", \"Trump defunds WHO\")\n",
    "    ])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Early Warning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Three weeks of early warning\n",
    "ew_trend = WW_case_trend.before(\"02/15/20\")\n",
    "ew = ew_trend.extract(['WW', 'active', 'new'])\n",
    "ew.oplot()\n",
    "plot_rate_trend(ew_trend, 'arate')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Lost Month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gap_trend = WW_case_trend.after(\"02/15/20\").before(\"03/15/20\")\n",
    "gap = gap_trend.extract(['WW', 'active', 'new'])\n",
    "gap.oplot(xlab=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_rate_trend(gap_trend, 'arate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_model_rate_trend(gap_trend, 'arate')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By mid-march, it was clear to the world that we were on a course to almost unimaginable crisis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "proj_trend(gap_trend, 'WW', start=7, end=0, dist=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mitigation\n",
    "\n",
    "Looking at the period since mitigation measures, we find a steadily enough trend that we can hope to model the future enough to attempt predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Past month\n",
    "mgmt_trend = WW_case_trend.after(\"03/15/20\")\n",
    "mgmt_trend.extract(['WW', 'active', 'new']).oplot(xlab=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_rate_trend(mgmt_trend, 'arate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_model_rate_trend(mgmt_trend, 'arate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "proj_trend(mgmt_trend, 'WW', start=7, end=0, dist=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def proj_WW(start=7, end=0, dist=14):\n",
    "    proj_trend(mgmt_trend, 'WW', start=start, end=end, dist=dist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "118b861e3fe34b33bb517ff36743e039",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=7, description='start', max=21, min=5), IntSlider(value=0, description='…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = interact(proj_WW, start=(5,21,1), end=(0,14,1), dist=(1,45,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Taking just the past few weeks, we can hope to get a good fit.  \n",
    "\n",
    "What we are observing here is not the properties of viral infections processes, such as SIR models as more and more of the population gains immunities, it is fundamentally the reduction in transmission rates due to human behavior.  We are still at such minute level of immunity in the population that the classic epidemiological factors hardly matter.  The challenge is what properties should we imbue to such human behavior?  Can we expect linear improvements or is the improvement a continued reduction in the oustanding rate, i.e., exponential.  Over the short term, these cannot be meaningfully differentiated.  Clearly the linear model goes negative whereas the exponential model gradually converges to zero.  The trends are so slow that we need to go out a month or two (an eternity) to see a notable difference. The exponential model is used in the projections here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "WW_rate_proj, eparams, lparams, ecov, pcov = model_rate_trend(WW_case_trend.tail(14))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def ahead(n):\n",
    "    plots.plot(exp_rate(range(n), eparams[0], eparams[1]))\n",
    "    plots.plot(lin_rate(range(n), lparams[0], lparams[1]))\n",
    "\n",
    "ahead(60)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Deaths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "WW_death_trend = WW_deaths.trend(active=False)\n",
    "WW_death_trend.extract('new').oplot(xlab=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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i3rfffpunnnqKtLQ0fL6+y9zn5ORw9uzZiDcuHgSLeIfugTGGl9QDIyIiEhnD7oEZaJXZoMbGRpKTkyPSoHgT7FWxDVkD013EG+aO1CIiIjKwYQeYZcuWsXXr1gGf27ZtG1deeWXEGhVPXMOZRt29I3WnWwFGREQkEoY9hPStb32L2267jb/5m7/h9ttvx2QysWvXLp544gn++Mc/8sILL4xlO2NWh+vCRbzJyeqBERERiaRh98Bcc801bN26laqqKr7yla8QCAT4wQ9+wJ49e9i6dSuXXXbZWLYzZg2vB6Y7wKgGRkREJCLCWol37dq1rF27loqKChoaGsjKyorattmxalgBprsHpiuMDR1FRERkcMPugXn00Uepq6sDYObMmVx55ZWh8FJfX8+jjz46Ni2McaFZSINs5gg9NTAuBRgREZGICCvAnD59esDnLuYA0xncjXqoGpjgNGqtxCsiIhIRww4wvReuO19LSwtJSYO/gU9UgUCADteFp1Hbuntn1AMjIiISGUPWwLzxxhu8/vrroY9/+ctfsmPHjj7HdHZ28uKLLzJv3ryxaWEM6+xyEwhAojUBi8Uy6HFJwSJeBRgREZGIGDLA7N69mx//+McAmEymAdeBSUxMZO7cuRflENJwho8AkkObOSrAiIiIRMKQAea+++7jvvvuAyAzM5OXX36Z5cuXR6Vh8SA4fDRUAS/01MAowIiIiETGsKdRNzc3j2U74lIwkCQPUf/S+/lOFfGKiIhERFjrwAQ1NDTQ2dnZ7/HCwsJRNyieBItyh1oDBnrNQtJWAiIiIhEx7ADj9/vZtGkTv/zlL2ltbR3wmKampog1LB4Etwaw9RpCqnJ42FTqoK7DR16KhY3L7OTbuteB6XQTCAQwmUzj0l4REZGJYtgB5uc//zlPPfUU9957L5s2beKb3/wmZrOZ5557DrPZzNe//vWxbGdM6jhvJ+oqh4fbdjZS6fCFjtnX4Gbb2mysVgsejw+P10ui1Tou7RUREZkohr0OzDPPPMO3vvWtUFC55ZZb+O53v8vevXvJy8ujtrZ2zBoZq0I1MN1DSJtKHX3CC0Clw8emUkfPfkiqgxERERm1YQeYkydPcumll2KxWEhISAjVwFitVu6+++4Bp1hPdK7uWUjBGpe6Dt+Ax9V3+EhNSQbA0d4RncaJiIhMYMMOMJMmTaKry3jDzs3Npby8PPSc1+u9KGcpBYt4U7p7YPJSBl7MLjfFQlaGHYCmVkd0GiciIjKBDbsGZvHixRw9epTrr7+e66+/nkceeQSbzUZCQgIPPfQQixcvHst2xqSeISSjB2bjMjv7Gtx9hpGK7UYh7x8q0gBoammPfkNFREQmmGEHmLvvvpuTJ08CcP/993Pw4EHuuusuwJg+/aMf/WhMGhjLzl/IrshuZdvabDaVOqjv8JHbPQupyG4ls7sHplk9MCIiIqM27ABz3XXXhf5/6tSpvPLKK1RWVtLR0cHcuXOxXoQza3oWsutZB6bIbuXJ1Vn9jg0NIbUowIiIiIzWsGpg3G4369evZ/fu3aHHTCYTM2fOZNGiRRdleIFe06gvsJUAQFa6AoyIiEikDCvAJCYmsmvXLvx+/1i3J670LGQ39Eq8gIp4RUREImjYs5CuvPJK9u3bN5ZtiTvD3QsJIFtDSCIiIhEz7BqYTZs2sX79elJTU7n55pvJzc3ttyS+2TzsPDQhBIeQLrQbNUDGpDRMJmhpa8fn82GxDDzlWkRERC5s2AFmxYoVANx3333cd999/Z43mUw0NjZGrmVx4PyVeIeSkGBhkj2V1jYnrY6O0JCSiIiIhG/YAebb3/52RDYh3L17Nz/72c84ePAgdXV1/Md//Afr168f9PijR4/yT//0Txw7doy2tjZyc3P5xCc+wX333Udi4oV7PsZKIBDAFayBGcYQEkBWehqtbU6aWhwKMCIiIqMw7ABz//33h/XCNTU15OXlkZDQ9xJOp5MFCxawbt06NmzYcMHXSUxMZN26dSxevJj09HQOHTrEvffei9fr5cEHHwyrTZHk8Xrx+wNYrRYSEoY3HJSVYaey5owKeUVEREZp2AEmHD6fjyVLlvDKK6+wdOnSPs+tWbOGNWvWAHDPPfdc8LVmzpzJzJkzQx9Pnz6dN998kz179kS20WHqcIXX+wKaSi0iIhIpY1Z1GwgExuR1Kyoq+Mtf/sLVV189Jq8/XJ1dfTdyHA4tZiciIhIZcTNtaM2aNUydOpVly5Zx1VVX8f3vf39c2xMs4LXZLlzAG6S1YERERCLD1NLSEvGuEp/Px+TJk3n11Vf7DSH1lp+fz2OPPTZkEW9QbW0t7e3tHDp0iO9///t88Ytf5B//8R+HPKf3jtmR9mF1Pf/xmx3MLJzCVz9z07DOOVZxiid++xIlRbncs/7GMWubiIjIRFBSUjLoc2NSAzMWCgoKAJg3bx4+n4+vfe1rfO1rX+tXJNzbUDc+UuXl5ZSUlODogtTUVPJypw77OslpGaQ+/xZYrEOeE7zGWIvGdSbKNaJ1Hd1L7F0jWtfRvcTeNaJ1Hd3LyMTNEFJvfr8fr9eLz+cbtzYEp1CnDGMNmKDeRbxjVSMkIiJyMYh6D0x7ezsVFRWAEURqa2spKysjMzOTwsJCHnjgAfbv38/27dsB+O1vf0tycjILFiwgMTGRAwcO8OCDD/Lxj3+cpKThh4dIc3Wvwps8jFV4g1JsSSQlJtDZ5eFoQzs/OeKhrsNHXoqFjcvsFNkvzk0xRUREwhX1AHPgwAFuvfXW0MebN29m8+bNrFu3ji1btlBfX09lZWVPAxMS+MlPfkJFRQWBQIDCwkK++MUvDmsK9lhydYU/jdpkMpGVYaeirpFPPl9DjTk99Ny+Bjfb1mYrxIiIiAzDmAQYi8XC888/P+A42MqVK2lpaRn03C1btvT5+Pbbb+f222+PeBtHK9gDM5ydqHvLSrez8+gZ6s45YEpPgKl0+NhU6uBf5vrZXXqU2bNnR2TlYxERkYkorADT3NzMzp07OXXqFJ2dnX2eM5lMfPe73w19fM0110SmhTGqszO4D1J42xlkZtjp9AWg09nvufoOH7/83Yu8c+Awi+bP5bLFcyLSVhERkYlm2AHmlVde4e///u9xOvu/8UL/ADPRdYS5D1JQVoadZIsJXP0/j1NtZqpOnQXg0PGTCjAiIiKDGPYspO9973tccsklvPnmm5w9e5bm5uY+/5qamsaynTEnuBLvSIaQStITyMbV5/Fiu4WvlZhxOI3HD39YHZmGioiITEDD7oGprq7mhz/8IQsXLhzL9sSN0E7UYQ4hZUxKw2Yxs74Q6mbaqO/wkds9C6n1VG3ouOpTZ3E4XdhTbRFtt4iIyEQw7ACzePFi6urqxrItcSW4lUA4eyFBT+BJDHh5cnVWn+deqGsI/X8gAMdO1GgYSUREZADDHkJ6+OGH+fd//3f27t07lu2JGx3ds5BSwtgLCSDVlmyc7+rq91xNd4CxpxrHHC6vGk0TRUREJqxh98AsXbqUVatWceONN5Kamkp6enq/Yw4dOhTRxsWy0CykcHtgugNPcBp2b7V15wC4aukc3nrvBB+Uqw5GRERkIMMOMBs3buTJJ59k8eLFzJkzB6v14l5wLbQbdZhFvKndAcZ5Xg9MIBCgtt7ogblq6Rz2Hqqk6tQZ2jtcpKWoDkZERKS3YQeYZ555hm9961sX1VTpoXSEFrILtwamuwfmvADT1OKgw+Um3Z5CVnoas4umcfRELcdO1LL8kuhsjCUiIhIvhl0DYzKZuPrqq8eyLXHD6/Xh9fqxWMxYh9gNeyBJiVbMZhNujxePxxt6PFj/UpA7GYAFJUWAplOLiIgMZNgB5rbbbuOll14ay7bEjd77IIW73L/JZOop5O1VBxMMMIXTcgCYP3s6AIeOnRxtc0VERCacYXcf3HDDDXz3u9+lra2N66+/noyMjH7HrF69OqKNi1WdI9iJujdbciIOp4sOVxfp9lQAak4He2CMADNvVgGJ1gRO1p6h1eEMHSciIiJhBJi/+7u/A+Dpp5/m6aefDj1uMpkIBAKYTKaLZjXe4DYCKWEW8Aal2JKBVjpcPftJ1dYbM5AK8iZDoItEq5V5swspO1JJ2dFKVl6+aNTtFhERmSiGHWC2b9+u3ZG7jXQRu6Dg2jHBIaRAIEBtsAYmL4f608aKvEsXzKLsSCUHj1QowIiIiPQy7ACzcuXKsWxHXHGNcggpFGC6ZyKVVp3j3foOfIkp/OM+F+szTZQAS+bPBKDsSEWol0tERETCCDC33nrroM+ZzWYmTZrE0qVL+cxnPsOUKVMi0rhY5RrlEFJoKnVnF1UOD5/ZXkmd0w8pk3iuwsWe5CT+VOxh+tRssjPtNDY7OFl7huLC3Ijdg4iISDwb9iwkv9/Phx9+yJtvvklNTQ1dXV3U1NTw5ptvcvz4caqqqvjRj37ERz7yEY4ePTqWbR53wZ2oRzqElJZizEJyurrYVOrgdHO78URSCgC1nWY2lTowmUyhXpiDRypG2WoREZGJY9gB5itf+QpJSUm89tprvPfee7z44ou89957vPrqqyQlJfGd73yH/fv3M3nyZB566KGxbPO46xjhTtRBvRezq+vwgbu7mDcpOXRMfYcPQAFGRERkAMMOMJs2beK+++5jyZIlfR5funQp3/nOd3j44YfJz8/nq1/9Km+99VbEGxpLRroPUlBPDUwneSkW6OoOMIk9WwbkplgAWDR3BiYTHKuoHXADSBERkYvRsAPMiRMnyM7OHvC5yZMnU1Fh9BAUFxfT0dERmdbFqJ5tBEY4jTo5OAvJzcZldrJM3cGkuwemINnPxmV2ANJSbJTMyMfn83P0hFblFRERgTACzPTp0/mv//qvAZ/71a9+xfTpxsqxjY2NZGVlRaZ1Maqra3RDSCnBlXhdnRTZrdxZaCIv1cySPDt3zLTx+MIuiuw9m2UGV+dtbHaMsuUiIiITw7BnIX3729/mS1/6EitWrOBjH/sYOTk5NDQ0sH37do4cOcJTTz0FwK5du1i+fPmYNTgWuLv3MEoa4Y7cweAT7MkxuztZnJXIA3+dz7xZWZSXN/Y5PrgbdXuHa6RNFhERmVCGHWBuv/12srOz2bx5Mz/5yU/weDxYrVYuvfRSfv/733PttdcC8PDDD2OxWMaqvTHB7fEAYLWGt5FjUGgvpO6aFofTCCaT0lIGPN6eZgQYR/vYDc1VOTxsKnVQ1+EjL8XCxmX2Pr1AIiIisSSsd+DrrruO6667Dr/fT2NjI9nZ2ZjNfUehkpOTBzl74gj2wCSOMMDYbD3rwAC0tTsBsA8SYCalGo+3OcemB6bK4eG2nY1UOnyhx/Y1uNm2NlshRkREYtKwa2D6nGQ2k5OT0y+8XCyCAWbkPTBGgHG6uvB4vHS43JjNptD6MOdLSx3bHphNpY4+4QWg0uFjU6lqbkREJDZdnAlklDyj7YHptQ5McPjInpYy6FYBwQAzVjUwdR2+AR+vH+RxERGR8Tayd+CLnMdrvLGPNMAkJVoxm024PV6aWoxejvS0lFAdSsW5JGaebgrVodiDAcbZOdTLjlheysA1S7mDPC4iIjLeFGBGwO0eXRGvyWQi1ZaMw+nizLlmAAKJyb3qUCzsb3OF6lCyumtjHM6xGULauMzOvgZ3n2GkYrsltBaNiIhIrNEQ0giMtogXeqZS1zcYAeadFvOgdSiptiRMJnB2dOHzRX5Yp8huZdvabO6YaWNlbiJ3zLSpgFdERGKaemBGoCfAjPwN3ljMrpX67h6YDsvAq/rWd/gwm82kpdhwOF20d3SSbk8d8XUHU2S38uTqib0AoYiITBzqgRkBzyhnIUHPfkhnuntgJk8aOJQE61BCa8GM0VRqERGReKIAMwKRGEIKBpj6hiYAPrMom2J736LZ3nUo9u61YMZyMTsREZF4EfUAs3v3bu68807mz59PRkYGW7duHfL4N954g3Xr1jF37lzy8vJYsWIFTz/9dJRa218gEIhQDYwRYFodRiCZlWMP1aEsT/f1q0NJSzXWiGlXD4yIiEj0a2CcTicLFixg3bp1bNiw4YLH7927l4ULF3LvvfeSm5vLX/7yF77+9a+TnJzMHXfcEYUW9+XtnkKdkGAedJAMrJkAACAASURBVN2W4QguZhc0KS0lVIdSXt5IScn0Ps8H90PSEJKIiMg4BJg1a9awZs0aAO65554LHv/Nb36zz8df+MIXeOONN9i+ffv4BBifHzDWchmN4I7UQZPsA28jEBTcZkBDSCIiInFaA+NwOMjIyBiXa4e2EUgYXfZLGaAHZiiTgtsJaEdqERGR+JtGvWPHDnbt2sXOnTsveGx5eXnEr+/1+XA6nSQljO71mxvP4XQamziaTFB/upazvfaWOv+1W1uacDqdVFRWR/S+xuJzNFGvEa3r6F5i7xrRuo7uJfauEa3r6F4GVlJSMuhzcRVg3n77be666y4effRRli9ffsHjh7rxkarf8y6pqankTM4e1eufc3hJTS0DwJ5qY+7cuaHnysvL+712c4ef1NfLsKWmRey+BrpOpE2Ua0TrOrqX2LtGtK6je4m9a0TrOrqXkYmbIaQ9e/Zwxx13cP/99/OFL3xh3NoRXAMmYZRDSMGVeOHCw0dAaKdqR7uGkEREROIiwOzevZs77riDb3/728Mq/B1L3u6l/EdbxJvaq4j3QgW80KuId4z2QxIREYknUR9Cam9vp6KiAgC/309tbS1lZWVkZmZSWFjIAw88wP79+9m+fTtgrAPzqU99ii984Qt88pOf5MyZMwBYLBYmT54c7ebj9oxuJ+ogW68i3uH0wAQXstM6MCIiIuPQA3PgwAFWrVrFqlWrcLlcbN68mVWrVvHDH/4QgPr6eiorK0PHP/PMM3R0dPCzn/2MuXPnhv5dd9110W460NMDM5ptBKDvOjD2cIaQnC4CgcCori0iIhLvot4Ds3LlSlpaWgZ9fsuWLf0+Pv+x8eSJwCq80LMSLwyvByYhwUKKLZEOl5v2jk7s3dOqRURELkZxNQspFni8kemBSUq0Yjab8PsDQwaYKoeHTaUO6jp8nGqzUGj20+50KcCIiMhFTQEmTMEAM9oeGJPJRKotGYfTNWiAqXJ4uG1nI5UO45p0JVDvcHP8rIO8KVmjur6IiEg8i4tZSLEkUgEGeqZSD1YDs6nU0RNeABKTcXnh30vPjfraIiIi8UwBJkxeb/dWAhEIMFOyje0QcnMyB3y+rsPX94FEo5D3TKtz1NcWERGJZxpCClOoB2aUC9kBfOUfPsbZxtZQkDlfXoql7wOJRuHvpIBn1NcWERGJZ+qBCZMnQuvAAGSm25k7s2DQ5zcus1Ns7xViEpOxJcBNuZpGLSIiFzf1wIQpUrOQhqPIbmXb2mw2lTqo7/ARcE3C3JpIkl89MCIicnFTgAmTN4JFvMNRZLfy5GpjxtGe0qn822EzjnZtJyAiIhc3DSGFyRMq4h3dXkgjkZbasxqviIjIxUwBJkyRnEYdrjYSKWty89vDTdy1q4kqh4aSRETk4qQAE6bxCjBVDg93v9tFndNP3bkWnit3cNvORoUYERG5KCnAhMkbxSLe3jaVOqj2JEHGZPB64WwNlQ4fm0odUW2HiIhILFARb5iCPTBJidGtgQktapc/C1rOwakTkFdM/fmL3UnM672/lT3BhMkEbZ4AeSkW1meaKBnvBoqIxAEFmDCFingTLBc4MrJCi9rlz4IP3oG6KvB6qGq3UOXwUGSPflGxhK/f/lbn2ZOcxJ+K+389e4eevBQLG5fZ9TUXkYuahpDCFKqBiXIPTGhRuxQ7ZE0BnxfOVFPd7lMtTBzpt7/VeWo7zf2GBYOh57kKF2/Wu3muwqWvuYhc9BRgwuTxjE8PTHBRu+lpFqMXBoxhJFAtTBzpt7/VAM4fFhwo9FQ6fNz3dit37Wrilj83aFaaiFx0NIQUJq/PD5jHZRp1kd3K9DQL1dNmwvt74Ew1eN2QkBjRWhhXZxdnG1spyp8SsdcUQ7/9rdydRk1TejYk2QDIPe+YfqEn4IfODl6tg85eT+1rcLNtbbaGlkTkoqAemDAFa2ASx2EhO+h+A7SlQXYu+HxQeRjo/6Y3Gr987kW+vfkpKmvqI/aaYggNBZ6uhFd+By/8Gt76E7y+DTo7KEj2s3GZvc85odDTcg7efwt2/gZ2bqXzwJtGmOmmnjgRuZgowISpZy+k6A4hBYXeAGddYjxw+B2mtdWwcZmdKocnIkMKh46fBFCAGQNFdiu/ucZGwbFdZLlbmJpmZVpmKlk+B7M/2MmPZrWFelCCX88PPqzG+s4L8Nr/won3obN7JeaKD+Ddl416qG6alSYiFwsNIYUhEAjg9fpJSgJrwvh86kIbPOYkUmZqo+3Quyw4sYua2ny++oG1T63ESIYUHE4Xjc3GX/GNzW0Rb7/AwXdKWTjJxOL58/jWl27H1enmB//2NKfPNPGn7S+xctFMGn0JfHxHAyfffA1OHjVOTEiA6fOgsAS8Hti70+jJ8e6Aj9wMJlNEe+JERGKZemDC4PYEh48SMJlM49aO4AaPb99/E1++cRkWv48v/+uzVDY6+xw3kiGFqlNnQv/f2KLhiEhzOF3sfH0fAJ+8aRWJVivp9lT+4bN3cKwrkeePNnLV137ODf91iJOv7DTCi8UCc5fBmvWw+GrInAI5+XDNxyEpGc6eguqjpCaYqHR4VdArIhcFBZgw9A4wscBkMrHh0zczd2YBbQ4HvPc6BAJ9jgl3SKHq1NnQ/59rbo1IO6XHn155h84uD0sXzKSkOB8whoo+946Hk0tvoTVtCrUNrTS8+Hujd8WaCCtuhvmXQ2Jy3xdLz4ZLrsZqBsuRd3B2uNjX4NE0axG5KCjAhCE0hTpGAgzAKZefypKVdAQSjDe86mN9nk9LMIVVF3OytqcHplk9MBF1uL6NTf/zFnsbujg4eXHoaxGaJp1iN3pVihcaJyQlw9W3QnZe6DVSz/vWmzFvDtOLC/F1dsHhd0KPD9b7Fqyr+eyBJBY/V88NfzyrHhsRiUux804cB9we45d8rPTA9KzqmgiLroH9r8L7u6HZ6EWZPDWHspQFnOro6ZW5UF1M7yGkc81tBAKBcR0umyiqHB4+/vNXaWjphCkF7HCmc2xnI9vWZvedJm2xwJJroGiuMduse2o1QLHdwuNXp/Or4y7qO3zkdq/I+0XvKk5U/jdUHTVqZLKmAj29b8FVfCvaPBxt8eL0AlgAH9XtPvY1eDQFW0TiTmy8E8eJWBtC6rPAWUGJsS5M7Qms1UewmKG1+gie03Vw6WowG8Wdwb/Mn1yd1e/1vF4fp+rPYTIZRcqdXR46XF2kpiT3O1bC84M9DTQcLjM+mLsc6Pla9FsbBiAjp8+H09MsoYBxdZ6tz3MzpuXw7qzFUP4e7H8Frv0EWBPJTbH03bogEICGWqOXbtpM41+3ob4vRERiUWy8E8eJWBtC6vOXu8kEy66DvGLwdtLp9sCx/VBTDl0dcPkao54CeO1014BDBrX1DXi9fqZNzcKEiVNnGjnX3KYAEwEf7CsFjwem5Btr+HSr7/Dx+DUZ7GtwD7rFQLHdMmTvyMZldt6tv4KTZ2ugtREOvs6Ma9fw2Tk2bt3RSHW7DxpOGUNMzQ3GSbUn4JKPwKzFfdoiIhIvVAMThljrgen3l7vZ2GbAU7QQSpbCNR/rmaXy7ovgNxY9a+j0c9vORk65+g4NVdUaQ09F+VPIyjQWU2tuVR3MaDk7OnEdf9/4oLv3JSg3xRKaGn/HTBvL0318tCCJmwqTWJmbyB0zbRcc2imyW/nDTVO55RO3MDktkbzmSj6XVMVXdrca4aX6mLFYXnOD8f1Q2L3f9ft74NCeUOG3pmCLSDyJjXfiOOGOsR6Yjcvs/f5yTzJDV3Bx1owcWHkbvLHNCDFH9sLCqwBjyOCJ6gSu7fkDPFTAO6Mgl/qGZgDONWkm0kj0rjs5uW8v7nYX1qnT8PQqyC22W0Kr7ganxpeXN1JSMj3s6xXZrfzm47N4Pe/j/Md/Pc8Tv91BXUouTMqCE4eMg0qWGAEqwQpTCuDAa/BhGWTkUDx/br8VgEVEYllsvBPHCU+M9cCEFrUrdYSKOp0ePy/UdPUclJYOl/817P4jlB+E9MlQMBuABnffDriqU2dw+fz85kwy1TUBHE1ujtW3cEM0byrOBINKXYePvJSeQBKqOzl3Gsr2gx8oWU5qgokFmQnMsCewcZk94kWzq664hHNNrex7+jVoOG38A7hkRWj15tQEE/lzZtFs9eM+8DqZ1e/yu3suVwGviMSV2HgnjhOxNoQEPX+5B1U5PBxpaezTK5Oam49z0UeMfXQO7IKphWBNIiexZx+dQCDAByfrePesG1d7GriTwennX9+u55a1Hr25DaBPgWy3fQ1u5mckGI+1noN3dhhDdzMXwuRpOL0BZtgTxqxYtsrh4c+2BZjWFED5UairNKZld+9gPj3NwvM3ZuOuP8msT17H/Y+d5GTtGcr2llLy0WvGpE0iImNBNTBh6Cnijd038971FMEait/dkMmMJUuMhc98XmhtothuYcP0nj10qk6doeyME5clGZJSIDkNgKYWhzYIHESfWWDdKs+1s+Ot9+HwXtjzglG4mz/T6AHpNlbFssFA9VyFi3N+q9Hjcs3HQuGl2G6El2AYNZvN/MMnbsDl8/P9/97F2v+p1JowIhI3oh5gdu/ezZ133sn8+fPJyMhg69atQx7f2dnJ3XffzYoVK5g8eTI333xzlFraXyz2wAwk2Cvz/EdzeHJ1Flfn2fjDjZNZPGMKWckmVk1ysW1tNvm2AIFAgJfeKOVffvo0nb4ATJ5mzGiypRov5mrX7JRB1J3/efG64bX/wb//VTh+wNh0MWcaLPsrMPX8qI1VsexAgQogJ9k0aDFwau403k8q4FRrF+/s2q1VfEUkbkQ9wDidThYsWMAjjzyCzWa74PE+n4/k5GS+9KUvsWbNmii0cHBurxFgkmI8wAykyG7la1cVcHlOEnfmekNvZL/Z9gpPPbuDzi4PBXPmwJKVxgk2owcGVztTbeqoAzjl6ruq8STreQv8nTgErg6j7mjuMrj8BrjqJmNxum69C3cjrV+g6jYvwwi0Aw0Dbip10DzrCuODUxXg9YxoDy0RkWiL+jvxmjVrQkHknnvuueDxqamp/PSnPwXggw8+oLV1/GbFBIeQEsZpJ+rRyp1i1F0crTXegCvOJXHuz6UUWf1887MfZ8aCeT01HdZEsFqxBTz847zYHTKLliqHh698kERtpyv0WEGKiYJUM7VOP3jccOKg8cSSayCnAIA0C2TZLEy1mcescDdowAXxGLrHp67DZwSurCnQdBbqq6Bg9oC9bgMVLKs2SkTGS3y+E4+T4FYCSYnx+Us7LycTl8/Pr0rraEtxQZcbGhw0JFspmj+336ym01PSyQ+0keJ1AZPGu/njalOpg9rOvj1RtR0BPlqQyEemmtnxlwM43G5jkbrJ+aFjPlpki9rqtgNNq79Qj08o9OTPNgLM6RNQMLtf6BmsYFnbD4jIeNHYQBi63MEemPhc8Cs3J4vyVi9tzS3G4mVtTQB0pGTy8IF2oG/9zA0l2ZS3evmHF6ov+uLOwYZn2r0BfnKZjavbj2JLAOZdZtQQMbbDRQMZqID7QgFj4zI7xXaLUWhsAs5Uk+jrwunx9/l6D1iwrKEmERlHE7oHpry8PKKvd/q0sabGuYazEX/t843V63eZrODrgk5nKMAwKYuKxnbKyxtDx51ymXi2FlqcfupqmzlodbHntJPHF3aRbwsM8uoDe63sQ56oTqChy0xOkp8N071hv8aFjPXXI81nBc4LAscPUPX2cT79XCOBANw0L5f2+Tmc8/jISfSzYboLd72D8vrwrjXae/n2tJ7/d9c3Dnr94HV+OsfETxISeTM7F/+5etynTvKCZS5lDfWhr3fFuSSMDSD7Ov/7ZrBrjKVoXCNa19G9xN41onUd3cvASkpKBn1uQgeYoW58JNL3HgegeEZRxF+7t/Ly8jF7/Zwpk2lqPwXtrdDW/cYzKZuZ2Wl9VoB9bFcTLdbu3gOXE4DaTjNbm7N4cvHwh0ReK/uQbxxP6/XXu4VjnckRHXoYy89X0KO5Hg79sb5nGKmlAdvxvcyYkkia3c7Mwlw2/N0tFOROHtV1onEv51+nBNja3IQ/fzacq4dTJ2D63D5f75mnm9jf5ur3Oud/3wx2jbEyHp+veL5GtK4zUa4RrevoXkZmQgeYSPN443sICeDji3L5WfUpXM7WUA9Mfl5Ov6GOug4fJPdMpQ4Kd0r1E9UJgw49xNPOx0V2K48v7GJrcxb1HT7aaz7EPiWRm1deymdvXxO3dVFBdR0+Y3fqst3GjtXuTkhMDn29R1JfIyIylqIeYNrb26moqADA7/dTW1tLWVkZmZmZFBYW8sADD7B//362b98eOufo0aO43W4aGxtxOp2UlZUBsHjx4gGvMVaCs5Di+c1qQWEOl09JxJns5ISrCVuqmef+dna/3pC8FEufqdRB4a5h0tA1cJlVPK4tk28L8OTiLJwdndz9UgVdFjO3/NWVcf39EJSXYoEkm7FH0pkaOPIuLFkZ+noPtG2FZiGJyHiKeoA5cOAAt956a+jjzZs3s3nzZtatW8eWLVuor6+nsrKyzzl33HEHNTU1oY9XrVoFQEtLS3Qa3a3LbRQ1WuO4ByY3JxObxcxs7xlsKW4K83NZkNt/htHGZXbersygBoyeGr+f4nRr2H9x5yT5Gah2Ip53Pn7j3UN0ub0smlNE/iiHjGJFqIdlwRXQcAoqDzNt1iw2LlsaOiY3Cf6psIP6hmZaWh2887oH5/JL+ekxr6ZWi0jURT3ArFy5csjgsWXLln6Pvf/++2PZpGHzeo1eg8Q4/os7b0o2AKfOGPUv06flDHhckd3K839bzN++k01LUxPLk5v48doFYb85bZju5VhnctwNPQy2SaOxcvF+AG64Ztl4NjGienpYEnm/80pay97hslNvcbJqCnftOETNiUpMbU3MnmTGZjF61Vw+P++/WEnz0r8OvY6mVotItKgGJgzBHphY30pgKLk5mX0+LsqfOuixMyYl8u2blvD7nW+xJqGOIvuSsK+XbwvE3dBDvzVP3J3s+PWvuSy5g+ULiqmtbyTBZuOplsk8/OeGCdPzEJxC77tmDd//aT3vnzjFnf/y/3AFt8wyQbttMrfPz6OsI5H3S8vo6qqAKRVG/QzxWd8kIvEpft+Jx4En2AMTxwEmKdFKdqadxmZj/Y7CQXpggq5cOo/f73yLvQeP8flPrsXUvcZJOKuynr9jdqzrt+bJ0X04Gps5lOQn8ehJXD4/h20zOVflDh0ykXoeLBYL9/zdrdx435O4TIlQVGxsCJmVS1uClWcTwGkH5iYbRb9luyEnH6xJQHzWN4lI/Infd+JxEFyJ1xqnWwkE5eVkhQLM9GlThjx2RsFUcrLTaWhs5VhFLfNmFU74VVn7LFrX1gSVh8EE2Stv5J4r0nlkTx3nUuf0OWei9Tx4U9NxXf9pcJvA3LdeyRnskSleCLUfQtMZ+OBtWLoaiO/6JhGJH1qJNwzxshv1hQT3RLKYTeRPzR7yWJPJxJVL5wGw972jwMRelbXK4aG6vfveAgF4f7fx3xkLmFFcwOorL8Ey91JI6B/UJkrPQzCgnvMm9AsvfZhMcOlqMJvh5FGoOU5qgolKh5e7djVxymUa/FwRkVFSgAlDcBq11RrfvQzBOpipkzOGtabNlUvnAvDOwWMEAoFBl9WPtzfwKoenz+7Su+tc3LazsSfAnK6AhtOQmEjR5VexYbrx9R/JponxZKCAGpSacF4osWfCJSuwmsHy3i6cZ+vZ1+DhuQoXX/kg6aLefkJExpYCTBgmSg/M/FnTMZlgbvG0Cx8MlMzIJzM9jXNNbRwur54Qb+DBXobnKly8We/muQoXn3y5ueeN+9xpKH0VgMzFl7NwahoPlSdy164mPjvHZuwf1Es8zKwarsECak6ymd/dkNn/3hcvZs7Sxfh8fnhnZ2jdoNpO84TolROR2KQAE4bgSrzxHmBmz5jGz35wDzetHt40YJPJxMorFgHwb//f//HF/K5Rv4Gf3/sR7b/UB+plcHq792c6dxr2/Bl8Ppg+l47pC3mhpov9bRajZ2F3K49fnR7WponxZLCAeu20JK7Osw24YWTG8msgZxp0ueDgm6Fz4q1XTkTiR3y/E0eR3+/H6/VjMoHFEv+5Lyc7g5amhmEdW+Xw8Ip9EYetlXira+j8z2f5xYZ1PFljG9HU6FgoAh6wlyEQgJOH4dCeUHjh0tV0+fsOm1Q6fPzquGvCFOye70LbBgw0q2yaPRGWXw8v/zfUV8HZWphSMGSvXDgz2UREzqcAM0zB4SOfOYEvvd580fzS7RM2FlwPbX/m5RN1tP3oKZaUFLKqOJ8zNc386JUzzCzM5W8/eSsPH2gPfX7WZ5o4f1uvoYqAoxUK+vUyuJxw4FUs507h8wMz5sOSlSRZTHT5+58/kXsWRrJtQCj0zFkGh/fCobfIv/FvB+2VGyzEPn51Or867rpofr5EZOQUYIbJ7fHi8vk50G7lrYqeXXkn0vThgfQJGwlWuOqjuA68RnlbDckVtRyrqMXl81Pe6uX5w2f5sXcBHUk9WxPsSU7iT8WePp+fWCgC7tfLsO9lbK31XFFox3zpKry5M8lNseD0+Hmhpqvf+fFU7zMS4a7dEww9D2Zewa76o7S3NZNQfZRNpfYBQ8hgIfaTLzf1TNNm4v98icjIKcAMk8fjpbzViwtbn8cn2vof5+sXNhKscPlf044Hj6mBZdZWfnPaSv2xI8aMnTN1ML0nwAQLOXt/fmKhCLh3L0Nl9WlOdZ5l8XQ7v3jgbjImpYWOq3J4ONLSGHdbIYyHIruV71+RyY0HP0Lnrp1UHdhPVcbMfiGkyuHhtdOdPScGAtB6Ds6dxpmdB5k9axNN9J8vERm5+C/miJLM9DSKbv8crPqbfs9N5OGEwcJGG1ZeCUxji38B9ZNnw9TpxhONdf2OPf/zs3GZPSZm8QR7GW4LVLA4K5FbVi3rE16CxwSLVpen+yZcwW6kbSp1UJdRZKzM29UJ+1+hss0Tmo0UHDpqqDsDHx6Ed1+CHU/Da/8Hh96Gt/4IjuY+rzmRf75EZOTUAzNMZrOZwmw7b7f2/5RN5OGEgQo6ewvN3MnOM/57rn+A6f35OVV/jtYWB9vWFsTE/kgtbe3sKT2MyQQ3rlo+4DHBoFNe3khJyfQotzC+1HX4jAXull8Hr/6PsbP18QO8mHgZd+1qorXdReVrf4GaD/ueaEuFJBu0nIO3/2z8oZBk9HZO5J8vERk5BZgwbFxmZ89pJ7WdPR1XE304ofdQy4s1nbR6AgMfmD4ZEhLA2QadTkhOBU8X06xeNi4zhgQCgQCP/eI56huaeez+L/Lk6qG3MYiGl94oxdHlpSmziM/t9ZCX0qTC0VEI9dglpxqzkvb8CY7uo9XZxnMHkuHUCaNg2pIAhbMhcypkTYW0DPB54c3tRoh59yVYcTPF6YkT+udLREZOQ0hhKLJbeXxh14Rd/2MwwR6INYXJAz6fmoCxnHxWLgDJLfUszzRRXLqdWW//lskWo/fm1JlG6huM4YHSQ+VRaftQPB4v217bz7tn3RzKnBda0O62nY1aQXaE+gwPTimAOcsgAFQfhw/LjPCSNQWuu93YO6lonrGar8lk1FddeSMkp8C5OtKO770ofr5EZGQUYMKUbwvw5Oosnv9oDk+uzrqofrkOVrvyuxuyuGOmjXmzCslLNfPNfAdft1czJ6GDgLuL/d1h5eCRitB5+98f3wDjcLp4ZMuzlJ5qxZWa1TMExsTZ12k89K4ZSrMEYN5lcPXNsHQlLLgCll0L13wc0tJD5/TZnsCWClesAbMJe80hzlRU9L+IiAgKMBKG3m9OvXugrs6z8eTqLH51xyIWZyVSW1nNH17cEzrvne5NIN87fCL02IdVp2l1OKN+DwB1Z5v453/9FYeOV+G12uDSa40egF5UODpywR67a7K8xuc1pwBmLIA5lxqLA5qNXzvpVhN3zLT1354gaypTLltBYaqFL/z0/1jzuw/7rdYcXMl5Q1nSuKzkLCLjTzUwEpah1geZNT2PRGtCaJhoRsFUDh+v4OCRClranBz5sNo4riiPE1V1vPfBCVZftThqbQejDufH//kcdWebKSqYQtKiv2Z7w8VVmB0tG6Z7OdaZPGgB+JrC5ND30ra1CX2Kuv9h7Ur+7pHTtJytpOaFP7N35W2h6dhAr0XwLOxvc/FCdSfzMxMotieohknkIqEeGIkYqzWBkhk9G0R+8VM3UlwwBY/Hx9Y/vILH42NWUR6rrrgEgNIPjJkoVafO8trbBwkEBikQjqD975dTW9/I5KxJPPiNv+eh1dNiYkr3RJRvC7BtbTYfLUgi+bw8eP7nOBiMg0Ozvy7vpGXhamNIqbkBKt4PDe0NuI+Vs4N9p9t5rsLFim0N3PDHs+qZEZng1AMjEbVwzgw+KK/m8sVzKCnOZ/HcIl7ac5jX33kfgCXzZ7Js0Wx++dyLHDxSweHyKh594nd0dnmYlJbCskXnbzwQGcF9d/b876v4mtx856ZlJCclUpRE2Mvmy/AV2a38919PDn3+h/s5ruvwQWISLF1lbKx55F3ILaKyLYGq9u7w0nzW2LuqsR7aW8FsgqlFOIvmss8znX0NHrafdHF9fhKbr0zX11RkglGAkYi66brLSUqysvpKY2goGGCCli6YxZTsDArzJlNTd47v/dtWjja76fQFuPe/3+E3980Ia1PITaUOKs4lMfN0z/Tn8zcJ/OwcG1/Z3Upl1WmoOgXWRH7aWsB1DmOLg3CXzZfwhfs5Dk3Hnjodps8xZjGVvsYHnitweXxw8gicruw5wZIAfh/UnTT+TcqEBVfQNbWIF2q6ONLSOOCMpt7fK/YEEyYTtHkC2odJJA4owEhE2ZKTuOWvrgx9nJmeRsmMaZSfPE1qShKzi4zZPssWlXC89izvnnXjyi6EszU0H/6Qjz1/iu235l/wjaPvZoBGHURwM8Cv7G7t0T5IDwAAIABJREFUM8TwvxUu/AAnyowHZiygqtPCrTsaef5GTdONRX0WUFz0EThbA01ncO16vucgiwWKF0L+LEjPBncX1ByHyg+grRne3gk50+DyNVQ6krjhjw1cOy25T9A9f0PJ3rQPk0hsUw2MjLkrL50HwJJ5M7FYjL+sr75sIR86ArimzoQr1xpLz/v9VB0rH9YU5sE2A7z7ze7wEggYq8C+uR3/n38Nf3kWTlcYM2BmLgKgut2nNV9iVHDG20cLkki2JcNlNxhhJDsXJucZX8Mb1sGij2DOnAJmi7F+TMlSuP5OuGQFJCUb+3O99Udwd9LQGeizzk+/76FAADo7jJ4cjO+nW3eE//0RnCF1y58bVIcjMobUAyNj7qOrL8diNnPVpfNDjxXlT2HGp77I6XN+44HCOXD2FFQfp75jab/XOH9YqNLh7XtAZwcc3kuNowmsSeDpMoo/g7q6Nw8smmMUhnbTZoGxq8huJS3RTKcPmDzN+DeAtQVJpCWaqWzzcKTFixMLzLoEphXDm88bK/vu/iOsuBmSbKGveWij0jPVUHUUms4Y30dJyUZAmrGAamzctrORn84xMVR1Vmg4s83D0RavdtQWiQIFGBlzCQkWbrruin6P509KgnMu44O8Ykh4A5rO8EHtOe7a1TNL5b63W3m1rst4I+uWYvJBRwf4/dBUD4feArebPvOYEhNh1hIoLAGvB7xuSM/p1w6t+RK7+u2Gfp6CZD+PXNVToFvl8PR8v9jS4JqPwe7nobXR2Jvp0tUwdTqVbR7qW12w/w2o6bWoosVihN0j++D4AZg+l8pZi/l7p52MY/VMsZn7TdW+0FBUpcPHjX9q4NLJiaqvEYkgBRgZN33qHBKsMG0mVB+n6fD7PGexs6e+E0wmap3+npO6XPBhGR2VHxihpLcpBcZiaT6vMQwweZrRG3MBWvMldg22G3pOsolrpyWzPrOpTxA4f9bTa6fNNFxzK+x9yehh2fNnmJLPfq+HQFuz8T1ksRhbHkwrNvZkOnfaqJeqr4bKw3DyMG35s2m7ZAXVSTb2NXj69KqEhqLcXca5zWeNHbWTko3Xy5xCXXYedTVdoXYO1itzfk+jgo7I4BRgZNz03ijytdNdNEyfa8w2qTgEjXXUzu5e5K7LBc5WcLQYbw6+7r90bSlG7UOCFWYtNoaheq2oa4I+PTIFKaZ+gUhrvsS2gXZDL7ZbQm/+5eWNA54XnPVk9I6YqFz5MWMvpiPvwtlTPd8Xk/OMPZnS0smzmTCZTJw25Rs1WY5m+PCg0UNT+yE01MKSlZBXHBqG2rjMzqunXMYQ1KE94HEPfCNTCoy6HHsmMPDQ5SmXiW+c15Oz/aSLj0yxkmI1c8blo6EzMGAvUDhOuUw8tqvpog1JCokThwJMlOmHp6/gG80tf26goXOasVfOkb1Gl//+Vwc+KbfI6GnJmjrka9/YXRvRe+0RQGu+xJHeIXckX7Pg+bfuaKS6ZKkxVNnSYNRBpdiNXbO7Q+/sdCuPX5PRMxxkzzS2mZizDA68BufqjJ4cWyrkFvH8yQy2v+im68xpo1gYjO/JydO6Z0V1GiGophzO1sIrzxkhe/ZimJTFa6e7qOqeyg/wRHVCTwF6ewucqaartZHXklPAlgaTsiBzCtXtCexr8Ay5+nDvmpxg6MlJMuPy+nnrTDLugCt07HBqdCL1e2ugdkVz9eSBhvt63/9A9xnu6+v3e/QowETRhX54LmahoYLpc41psScPG7/0rUlGV3yK3eiOn5Rl/DI/T7KFPjUyxXZLn9qI3lSwG19Gu05Pkd3K9DQL1e0+YxPJXhtJ9pabYunfK9jph9RJcPWtxvTs4weMHbUrD9PZ++TEJLjkaiiYDSYTFhP4gt08c5fD0XeNtWuqjxn/phTQMHsxH/m9n5mTLLS6PDTU1EFdDZypAucgM/HMZsjIgYLZOAtK2OdN6jek1e/3TGcH1c5WY7jM5+0JQxbj13+lw9dvijkMXZjcu2eozRPot4bO+syeouehXqe63XfBMMYAr9PQGWASSRSePBfW2j2DzV688U8NzE1P4O0GT5/fI/sa3IMWcPdrj9V4rfEo4I5GcIrFcKYAE0WD/fBoFsx5QwWWBGNIaFb/fZLMgL//6VyX17+3Zbx/uCR2DFZLE9R7KLHv8FN3EDCZjJlJxQuNHpz6KqPmxZpoBOyCEkiyAZCTbOb/b+/Mo6Oosz3+6c6+kQBZIBsYIImgCIgQFgGFQSCKD4jyeLwRQXBD38y8ke2MvJGR3UE8OAKKis6gIBCcAUkcRhQQRxZRDKgsSiQQQkI2sidNd94flTTZOiF0p7q6vJ9z+gTq11XfuvdXt/v2b31nRND19Yi8fOCOYcqA8p9OKAlMzkXIuUhZQBAnjW5QlK+0vNTi6aUs4tchTNEpL1Zm1RXlKWN58rPhuy+VFqXoeNKrIxixMwd/DyPFhYUUZmVBXtb1VYobYkBJYkKjoVMXrnQIZdu5cuvKxbN7+dVfT+maSflRUVQA16qotJjZ5x8EQcHQPkxJ8urwpbcXu29RxqhZfVhRpqznk3tJGaPm5g6ePhDcmdKOnfnqSnWj1ZMBm8kP1UZOllTW003JqOCWACNFJpps3ak3KNxUqcxQqygjy8ePrLwApXXNcH11kfRiM49849VoAHc9u5qhpQHcdRfjDK1Jxup2FYZ4GVtM0Jr6YdzQD7XXOZ/vRfHxpgej17ufJlruGiZ3Wth/zFBYWNj2G9DoiLNnz9Kjx80td39/6hUOXm7cR353J092jb0+O8Yejdaghk5rNM4Xmxj10RWuVDR+JAM9DIyO8r6+qm6dYI30trD7/k5tHkBa85fWdbSk0dSHvJ+7gZ7t3el6A7/6v88poRhPCirMNJzB35CHYnysCVBt15e/u4HDOVXkV1UrXUs//6CM9aooU04yGJSEIiwaOkVD+9B6X6RWTJWQfQEyTinrHNWGirevco2qiutjxGpxd1eu7e6pDFguLVLGk9VNmIKC4c57rWN0/NwNlF6rVhKNjDNKC1JFOTbxD4SwKCUhCu4Mbu509jHANRNZP/54fZq6LYxGZdxRVKzSRezugbdRMa/SgmLTlUy4nK4ke6VFymwxLx/wC1BaaH3bKf9u17FeC5Ofu4Gu/gYKruRRdOkiJbk5SjLYVGJnNCgtVL4BNa11QUqC1j7U2tXo527Ayw3yy65BcT5knoNLP9VMwfdR6sLLV/l3QHtlFqSnt1XCywiDQpVnrV5SUF0NlTUzK93cr7/qjOurPbduy9e3+SYulVmuX6OsWLHNw1NJyLx8rTvAN8TP3WBNdJpqQVLuqVzxt6kKsCjHal/hMWAwNBiXps5nGEgLjKrY+hXorFkwag/ma6kJskuAByPCvdl2rvEHZXM7FzeciSIIDbnZsTS1rTFnz+bRo0c0s/bnN/l81tJUS04t1nM9vZUxXN17K2sfuXsoCYT79XtpOADdioeX0k0V2V35oqrtkioruf4eL2/oULPgX4dOEBjc+AvMfE1JKC6fh8yflJaIfcnKffn4U2oxKy0l2Rlgqpnt1z4EusQr92AwKON7Cq8oY4NKriqvn04qSZJfO7KqKqGqHCw1lri5KeODQqMUH1iuKV+MVzKV62RfUF5ubuAfREW7DlBtUeysnTHWkMpy5ZWfU/+40aAkH74BlHr58F3upcbdckajMlbJx19JPsqKlb+lxcqrdlwTgK+/klxeq6K0tJjS8pr3NqykspL6dQHw/WGlWzwkAvzaUenpw778KqVlrThfsb0oH0qKlHqpi5tRaaXyaweBHakMDGbflUDl/9UW5bzigjp/Cxpfw4CSxPj4KWO+vP0Ue/yDKA0I4mShQVliojZRKS2Cspq/pcWNr1eX8bPAYHBaT4JTEpgvvviCV199lW+//ZasrCxee+01pk6d2uw53333HXPmzOHrr7+mffv2PProo8ydOxdDnexU69iaUeGMWTDni008850XFytaN5ivNdevu09RUy0nTendiI8afjHYmokiCHVxxJ5XTT2fN9KS0+S5RjeltaUJ6g5A968ZX5JTbianoppADzhXbKbUNwDi+ytjbEoKa7pkvBv9am8SN3eMIRFYQiKUa5z4Qmlp+eGrxu8N7AA9+ipfwk1d12KBguyaBCRDGYBfVHC9PLizMrYtPKZeklaPynIlkbp4VklGruYpr4b3ER4DHcOVlhYvn+tfumXFyqu0SEkISgqVe6h7H17eENYFOoQq44jadVDqoC7ma1Beolyn5KqSFGSfV5KS9O/rv9eAch+hUde3s6isUFpRKsqVv9kZNS1mZ5RXS3h6Xd/X65pJaXkqL1VeuVktnw9KC5B/YI0tpTX3U/PiSounN3lPfu2uJ64GY83f+s+CM9bTckoCU1paSs+ePZkyZQpPPvlki+8vKipiwoQJDB48mE8//ZSzZ88ye/ZsfH19efbZZ1W4Y8dg74wKR7L462IuVtT/VeaoLLqpfYpSMiqUJukW9LTkI0FoiD3PZ91zrasGN/HjtrkB6LVcX+emZqBxTddPQ9p7QoCnG2E+RoJrxkFkF5UR09G/zo8KT+h3j7IOTuY55USDUdkQs1NX66Dnel06dTEaoWNn5dVzAFSUKl/gXt7XE6o6+LkbiAkwctXE9WQMH2WMUcxtSjdZUQGUFCj3Udud4+1HI3z8mxzUzzWTksSUFStf4oHB0DGsXrdcw4H/gHKv/kEY/YOw1E5yrK5WxhLlX1aSA9+aLitv38YJkIcXbgGB1wdwx9ymJEIXzyrJUGmRYp+7p9LF4x+oJFOBwcq/G65bdc2kJGklhUorWVG+sqREaZHi94D2ENBBqavav3W6qwAlGaosVxKz8jKlfspquhFLCq33jad3TXdcOyVhqX3dwFpa4JyeBKckMKNHj2b06NEAPP300y2+f9u2bZSXl7Nu3Tp8fHzo2bMnZ86cYe3atTzzzDMu1QqjlZ2Pba1w6ogsuqnByg2Tl+b0tOIjQWgKe57Puuda92MqMiktK1QRH+rfqq6t5lYBrjsuoS7KGAWl5efv97lfX7m4U1clYWmCaH83do3pCFBvXI/BAMWmavzrjsWo7aZo5joNB47WW23bw0vZ86pjp0bn10t+qCIyyNfaOlUvIXT3UBKDoMYrb9dSd+B/XVs61d3BvnYAd3Bn5dUEdZPErgHujVub/QOVVq6bwd1Defm1U7qwbuQUA9T7uDW62U70bgJPlF6+8gazPp3Rk+ASY2COHDnCoEGD8PHxsR4bOXIkS5Ys4fz583Tt2tV5N+eitOV4nJaWf3e0niC4Io27Qq8nFq25Rt1WnZyKausX6Y0mQnVXLt5zoYKrpsY/Nrr4u1mvZSt5a2lLBVsJVcN7aKp1ytsI99bMTKo9v6G/GiWEta07N9nKVTvWrnYAd1PXs2VT3XF6/u6GJmfx1MXTUM3gME98PYzWrsLaVrOWzm1o11+GBPLOmfJ6z0Nt69v5gjKbttRSN0mse25tcqel9bScPgspIiKClStXNjsGZsKECYSHh/Paa69Zj124cIHbb7+dPXv2MGBA4312QHnAhabJLDfUjIG53qQa6W3hL70qifCx75FYeNqDj680fph9jNWUW663ljlKTxAEx2ArdseEmHgxruVdtTPLDazPcOdKlRE/owUMBkrNBkI8LTwZfe2GY73udVp7blPXuVBuJN8EwR4Q4WP/9W7mvuzxja1zHeFjR/mmrWhuRpNLtMAAjbqJqmumADbXfdQWU7m0NDXUHnoAf+FH3ivo4PAsekUnE6cb/BKr+8vA0Xoy9VibOnrRUEtHC7bYit0Vw0NvKFZ7ACN6229L7XWa40Y0buQ6LVFXx57rNXduS7Y4wo6GOo66ZnMabY1LJDChoaHk5NSfJpebmwtASIjtPk6heSJ8qtnQ2/FjTeo2a5/LKyGm4/V+/SGdfVq+gCAITkEG0QuuhEskMAMGDOCFF16goqICb29lhPVnn31G586d6dKli5PvTmiKhutnCILgGsggesFVaHp5vjampKSEtLQ00tLSsFgsXLx4kbS0NC5cuADAokWLGD9+vPX9SUlJ+Pj48PTTT/P999+zc+dOXnnlFZ5++mmXmoEkCIIgCIJjcEoC88033zBs2DCGDRtGeXk5y5YtY9iwYSxduhSAy5cvk56ebn1/YGAgH374IVlZWdxzzz3MmTOH2bNn88wzzzjj9gVBEARBcDJO6UK6++67KSwstFm+bt26Rsd69epFampqW96WIAiCIAguglNaYARBEARBEOxBEhhBEARBEFwOSWAEQRAEQXA5JIERBEEQBMHlkARGEARBEASXQxIYQRAEQRBcDklgBEEQBEFwOZy+G7UgCIIgCEJrkRYYQRAEQRBcDklgBEEQBEFwOSSBEQRBEATB5ZAERhAEQRAEl0MSGEEQBEEQXA5JYARBEARBcDncnX0DWqa6upp9+/Zx+PBhcnJyMBgMhISEkJCQwPDhwzEYDA7T+umnnxrpDBw4kG7dujnk+mrYIv7Sro74q3W0tb9APzGpp7hXS0MNHTXrxVnIOjA2uHTpEpMnT+a7774jLi6OkJAQqquryc3N5fTp09x+++1s3ryZ8PBwu3SuXr3Kk08+yccff4yfnx/BwcFUV1eTl5dHWVkZY8aMYf369bRr107Ttoi/tKkj/modavhLLVv0ogHq1Itada+nmHQ2ksDYYMqUKRQXF/P6668TERFRrywzM5Mnn3ySgIAA3n//fbt0nnjiCdLS0li9ejUJCQn1yg4fPszvfvc7evfuzfr1629aQw1bxF/a1BF/tQ41/AX6iUk9xb1ada+nmHQ2ksDYICIigtTUVHr37t1k+bfffsu4cePIzMy0Syc6OpodO3bQv3//JsuPHDlCUlISGRkZN62hhi3iL23qiL9ahxr+Av3EpJ7iXq2611NMOhsZxGsDb29vCgoKbJYXFhbi7e3d5vdhNNpfRWrYIv7Srk5ziL9ahyP8BfqJSS3UCTiuXpyt4SgdrdRLWyMJjA0mTpzIU089RXJyMvn5+dbj+fn5JCcn8/TTT5OUlGS3zpgxY/if//kfjh492qjs6NGj/OY3v2Hs2LF2aahhi/hLmzrir9ahhr9APzGpp7hXq+71FJPORrqQbFBVVcX8+fPZtGkT165dw83NDQCz2Yy7uzu//vWvWbZsGZ6ennbpFBYWMnPmTPbu3UtAQAAdO3bEYDCQm5tLSUkJI0eOZMOGDQQFBWnaFvGXNnXEX61DDX+pZYteNECdelGr7vUUk85GEpgWKCoq4vjx4+Tk5AAQGhpKnz597B6J3pAzZ85w5MiRejoDBgwgNjbWYRpq2CL+0qaO+Kt1qOEv0E9M6inu1ap7PcWks5AERhAEQRAEl0PGwDSDxWLhhx9+ICsrq1FZRUUFmzdvdphWSUkJFoul0XGTycQXX3xh9/XVsEX8pV0d8VfraGt/gX5iUk9xr5aGGjpq1ouzkATGBhcvXmTIkCEMHjyYXr16MXXqVAoLC63lRUVFzJ49226dgoICJk2aRJcuXYiMjGTBggVUVVXVK3/ggQfs0lDDFvGXNnXEX61DDX+BfmJST3GvVt3rKSadjSQwNli0aBFBQUEcOnSIf/7zn+Tm5jJu3Dhyc3MdqrN48WIuXbrEli1bePXVV9mzZw9JSUmUlZVZ31NdbV8vnxq2iL+0qSP+ah1q+Av0E5N6inu16l5PMelsZAyMDeLj49m8eTN9+/YFlGa9WbNm8cMPP/DRRx9RXV1NfHx8vSlqN8Ntt93GG2+8weDBgwFlhPqUKVMwGo1s27aNkpISu3XUsEX8pU0d8VfrUMNfatmiFw1Qp17Uqns9xaSzkRYYGxQXF9cbqe3h4cFbb71FfHw8iYmJXL582SE6eXl59fajCAoKIjk5GYvFwqRJkygtLbVbQw1bxF/a1BF/tQ41/AX6iUk9xb1ada+nmHQ2ksDYoGvXrpw8ebLeMTc3N95++23i4uKYMmWKQ3SioqI4ffp0vWO+vr5s374dgKlTp9qtoYYt4i9t6oi/Woca/gL9xKSe4l6tutdTTDobSWBsMGrUKN59991Gx93c3Ni4cSN33HGHQ3SGDx/Oe++91+i4n58f27Ztw8/Pz24NNWwRf2lTR/zVOtTwF+gnJvUU92rVvZ5i0tnIGBgbmM1mSktLbS74YzabyczMJDo62i6dwsJCsrKyuPXWW5ssLykp4fjx4wwdOvSmNdSwRfylTR3xV+tQw1+gn5jUU9yrVfd6ikln4zZ//vwXnH0TWmTatGkYDAYiIiLw8fFpVG40GgkMDLRb58UXXyQqKoqIiAgMBkOjck9PT7sfMjVsEX9pU0f81TrU8BfoJyb1FPdq1b2eYtLZSAJjg4yMDLZu3crzzz/Pvn37uHr1KiEhIXbvg9GQ3bt38/LLL7N69WpOnToFKH2kHh4eDtNQwxbxlzZ1xF+tQw1/gX5iUk9xr1bd6ykmnY10IbVATk4OqamppKSksH//fmJiYkhMTCQxMZE+ffo4TOfYsWOkpKSQkpLC+fPnGTZsGImJiYwdO5bg4GCHaKhhi/hLmzrir9ahhr9APzGpp7hXq+71FJPOQhKYVlBaWsonn3xCSkoKe/bswdfXl3HjxjFjxgyb/Zk3w7lz59i9ezcpKSkcO3aMfv36kZiYyKRJk+pNv7MHNWwRf2lTR/zVOtTwF+gnJvUU92rVvZ5iUk0kgblJzGYzBw8eJDU1lZ49e/LII4+0iU5eXh4pKSmkpqYyaNAgnn32WYdrqGGL+EubOuKv1qGGv0A/MamnuFer7vUUk22NJDCCIAiCy2A2m8nLy8NgMNChQwfc3NxcUkMtnYyMDHJycjAYDISEhLj8zKO6yDowzXDo0CEWLlzIqlWruHjxYr2ywsJCh2zs1RLp6eltrnP69Ok2XxfAkRrp6els2LDBuux2XRy1SZlade/sZ0wvz5daOmr4C1wvJtXQ2LVrF/fddx+dO3cmPj6euLg4OnfuzH333cdHH33kMhpq6bz22mv06tWLPn368Ktf/YpRo0bRp08fevXqxdq1ax2i4WwkgbFBamoqiYmJ/Pvf/2br1q0MHjyYf/7zn9byqqoqh26tbouSkpI216mqquLChQsuoXHo0CGGDh3Kn//8Z5577jkSEhI4fvy4tdwR28SrVfdaeMb08nyppaOGv8C1YlINjY0bNzJjxgzi4uLYsGEDH330Ebt27WLDhg3Ex8fz2GOPNblwm9Y01NJZuXIly5cvZ/r06ezdu5cTJ06QlpbG3r17mTFjBsuXL+ell16y2xZn4+7sG9Aqq1atYu7cucybNw+ADRs2MGPGDNavX+/QX2ArVqxotjwnJ8dujZZaJAoKClxCA2DJkiVMnjyZl19+mcrKShYvXsz48ePZvn07AwYMcIiGWnWvho5eni+1dNTwF+gnJtWq+zVr1rBq1aomx2o8+OCD3Hnnnbz88stMmzZN0xpq6bz77rusXbu20edIVFQUffv2pUePHsybN485c+bctIYWkATGBqdPn+bNN9+0/n/WrFmEhobyxBNPYLFYGDRokEN0li9fTteuXZtcbAiUFgV72bJlC3fddZfNhYuKi4tdQgMgLS2NV155BQAvLy9efPFFwsPDSUpKYuvWrcTExNitoVbdq6Gjl+dLLR01/AX6iUm16j4rK6vZeEhISLB7g0I1NNTSyc/PJzY21mZ5jx49KCwstEtDC0gCYwMvLy8KCgro2rWr9diDDz4IwFNPPcUf//hHh+h06dKF559/nkmTJjVZnpaWxogRI+zS6NatG9OmTbO5gZeraICygmRZWVm9Y0899RQADz30EH/5y1/s1lCr7tXQ0cvzpZaOGv4C/cSkWnUfHx/PW2+9xfLly5ss37hxI/Hx8ZrXUEunX79+rFy5knXr1uHp6VmvrKqqilWrVtGvXz+7NLSAJDA26N27NwcOHKBv3771jj/44INYLBYef/xxh+jccccdfPvttzY/MA0GA9XV9k0Uq9Ww9SHjKhqgBP/hw4e5/fbb6x1/6qmnMJvNzJo1y24NtepeDR29PF9q6ajhr7o6rh6TatX94sWLmTx5Mp988gn33HMPoaGhGAwGsrOz2b9/P5cuXWLr1q2a11BL56WXXmLChAl0796dQYMG1dP48ssv8fX15cMPP7TbFmcj06htsGvXLr744gubWXJycjIbN260e8T4qVOnKC8vb/QlVovJZCIrK8uuqW/Z2dlUVla26fQ5NTQA/vrXv3Lw4EHeeOONJsvXrFnDm2++SVpa2k1rqFX3aujo5flSS0cNf4F+YlKtugc4f/48b7/9NkePHrWORQoNDWXAgAFMnz6dLl26uISGWjrFxcVs3bq1SY2kpCSbGz26EpLACIIgCILgckgXkobQ84JDbYH4q3WIv1qH+OvmsVgsmM1mh2+EqGfU9JnJZOLy5ctERUW1uVZbIuvANENycjLTpk3jN7/5Tb21RkBZ7tlRCzQ5e8GhEydO0KFDB7uvI/5qPWr4TPzVOpztL3CdmDSZTLzwwgvcd999vPjiiwCsXr2a8PBwwsPDmTVrFpWVlXZp3Aiu4i/Qhs9OnTqlyuKSbY0kMDbYtGkTTzzxBEajkczMTEaPHs0777xjLTebzQ5ZoEkrCw7ZO9BO/NV61PCZ+Kt1aMVf4BoxuXz5ct5//3369+/P7t27+d3vfsebb77JmjVrWLNmDV988QXr1q2zS+NGcQV/gbZ85upIF5IN1q1bx8qVK5kxYwYAH3/8MY8//jiVlZU88cQTDtNRY8GhlhZFKy0txWAw3PT1Qfx1M6jhM/FX61BrATC9xGRycjJr1qxhzJgxPPbYY/Tv358333yTiRMnAuDt7c1LL73Eb3/7W7t09OIvUMdnLbWumEymm762lpAExgbp6emMHDnS+v8xY8awdetWHn74YcxmM0lJSQ7RUWPBoUOHDllLjGZxAAAPSElEQVT33bB1Dw2bS1uL+Kv1qOEz8VfrUGsBML3E5OXLl7ntttsAiImJwdPT0/p/gL59+zpsCxE9+AvU8Vl2djb/+Z//Sbdu3Zosz8rKYv369XZpaAFJYGzQrl07srOz601nS0hI4IMPPuDhhx8mOzvbITpqLDgUGxvL6NGjbW6ZnpaWZveaAOKv1qOGz8RfrUOtBcD0EpPt2rXj6tWrREZGAsovf39/f2u5yWRySOubXvxVq9PWPrv11lvp1auXzXWxTpw4IQmMnunXrx//+te/Gu2vM2jQILZs2cLDDz/sEJ2VK1cyceLENl1wqHaxKVt4eXlZg+lmEX+1HjV8Jv5qHWr4C/QTk3FxcaSlpdGrVy+AepuRAnz//ffccsstduvoxV+gjs8GDhzIjz/+aLPc39+fwYMH26WhBWQdGBscPHiQI0eO8L//+79Nln/++eds3rzZIbMS2nrBocrKSsxmM76+vnbfqy3EX61HLZ+Jv1qHGguA6SUmT58+jaenp80v3A8++AB3d3ebKxvfKHrxF6jns18CksDY4LvvvrNmyK6uoxcNtXTEFu1pqKUjtmhPQy0dPdmSmprKvffei5eXV5vqOBu3+fPnv+Dsm9Ai/fv355133iEjIwMvLy+ioqIc0pfbnI63tzeRkZEO11HDFvGXNnXEXzev0Vb+aqjjyjGp17p3dVumTp3K4sWL+frrr6moqCAyMtLmDuuujLTA2MBkMnHgwAFSU1NJTU2lvLyc0aNHM27cOEaNGuWwpkw1dPSioZaO2KI9DbV0xBbtaailoydbAM6ePUtqaiq7d+/mm2++oX///owbN47777+frl27OkTD2UgCc4N8/fXXpKSkkJKSQnp6OsOGDSMxMZGxY8cSEhLiUjp60VBLR2zRnoZaOmKL9jTU0tGTLVeuXLEmMwcOHOCWW25h3LhxJCYm2ty41BWQBOYmSE9PJyUlhd27d/PVV1+xZMkSm9PVtK6jFw21dMQW7WmopSO2aE9DLR092VJWVsbevXvZvXs3e/bsYfbs2fz+9793qIZaSAJjJ/n5+RQUFNhcMMiVdPSioZaO2KI9DbV0xBbtaailoydbLBYL+fn5BAcHt5lGWyIJzE1SWFhIamoqU6ZMccj1SkpK8PX1xWisvz2VyWTiyJEjDBkyRDRqMJvN/Pzzz0RHR+Ph4UFFRQU7d+6ksrKSMWPGOKTZVQ0NNXUaMnbsWNavX19v0S5X1FBDJy0tjXPnzhEWFkZCQkKbDOxUS8dVNQoKCnB3dycgIABQZvJs3LiRCxcuEB0dzfTp0+nZs6fmNdTSefXVV/mP//gPl99tuiUkgblJTpw4wfDhw8nPz7frOgUFBcycOZN9+/bh5eXFtGnTWLRokXUV0JycHOLj4+3S0YsGwJkzZ5gwYQKXLl0iOjqaf/zjHzzyyCP89NNPVFdX4+Xlxb/+9S+6d++uaQ21dHbu3Nnk8enTp7NkyRLCw8MBGD9+vKY11NKZOXMmq1evJiAggJKSEh555BE+++wz3NzcMJvN9OnThw8//JCgoKCb1lBLRy8aoCzr/8wzz3D//fezf/9+Jk2axJ133klsbCw//vgjx44dY/v27QwbNkzTGmrptG/fHqPRyIgRI3j00UcZN24cbm5udt23FpEExgYt7UVx6tQpJk+ebPcX8u9//3v+/e9/86c//YmioiKWLl1KREQEW7ZswdfXl5ycHOLi4igoKPjFawD813/9F9XV1Tz//PNs2rSJTz/9lG7duvHuu+9isViYNm0a7dq144033tC0hlo67du3x2AwNLtTr8FgsOs5VkNDLZ0OHTpw+vRpQkJCWLhwITt37mTjxo307duXkydPMnPmTEaOHMnSpUtvWkMtHb1ogLKZ5v79+4mJiWHs2LEMHjyYhQsXWstXrVpFamoqn3zyiaY11NJp3749q1atYufOnRw4cIDg4GCmTp3Kr3/9a2JiYuy6fy0hCYwNaj8sbVFdXe2QD+XbbruNN954w7qsc2FhIVOmTMFoNLJt2zZKSkrsbrnQiwZA9+7d2bFjB71796a0tJTIyEhSUlIYNGgQAIcPH+axxx7j5MmTmtZQS2fSpEm4u7uzdu1aOnbsaD0eHBzMwYMHiY+Pt8sGtTTU0mnfvj1nzpwhJCSEQYMGMXfuXCZMmGAt37NnDwsWLODYsWOa19GLBkBkZCR79+4lLi6O2NhYkpOTuf32263l6enp3H333Vy8eFHTGmrp1K2Xn3/+mb/+9a9s3ryZ7OxshgwZwqOPPsoDDzzQaL8vV8PY8lt+mbRr146lS5fy6aefNvmy99d3LXl5edamb4CgoCCSk5OxWCxMmjSJ0tJS0ahDaWkp7du3B8DPzw8/Pz86depkLY+IiODKlSua11BLJzk5maFDhzJ8+HD27t1r17WcqaGmTu0Pl9puz7rEx8eTmZnpMjp60bjrrrtISUkBoFu3bpw4caJeeVpamjWWtKyhpk4tXbt25f/+7/84efIk7777Lj4+Pjz++OPceuutDtNwFrKZow169+5NRUUFffr0abLczc2t2absGyUqKorTp0/XW1jI19eX7du3k5SUxNSpU0WjDp06dSIzM9M6OG3RokX1RtDn5uYSGBioeQ01dZ599lmGDh3KzJkz+dWvfsWf/vQnu6/pDA21dBYtWoSPjw8Gg4HLly/X+6DPz8/Hz8/PZXT0ovH8888zceJEysrKmDhxIgsXLuTcuXPExcVx9uxZXn/9dZ577jnNa6il01TvgZubGw888AAPPPAAFy5cYNOmTXZpaAFpgbFBUlJSs/tIhIWFMW/ePLt1RowYwXvvvdfouJ+fH9u2bXNI8OtFA2DYsGGcPn3a+v/HHnvMOpofYP/+/dxxxx2a11BTB6Bv377s27eP/Px8RowY4ZDk2xkaba0zePBg0tPT+f7774mPj280Fm7Pnj0O6apSQ0cvGgB33nknycnJHDhwgLlz55Kfn8+qVat4/PHH2bRpE/Pnz+fZZ5/VvIZaOi3FRFRUFAsWLLBLQwvIGBgnU1hYSFZWls3mvJKSEo4fP87QoUN/8Ro3Qnp6Op6enkRERLi0RlvqfPDBBxw4cICFCxfW67JyNQ01dWr5+eef8fDwaPO6V0PHVTVyc3P5+eefsVgshIWFtcn0eTU02lInIyODyMjIRstZ6A1JYJohMzOTt99+m8OHD5OTk4PBYCAkJISEhAQeffRRIiMj21Rn4MCBzJgxwyHBrxeN5nQcWS/Orns1bBk4cCDTp093GQ21dH4Jde9qGmrpiC2uhSQwNvjyyy956KGHCAsL49577yUkJITq6mpyc3P57LPPyM7OZtu2bSQkJGheRy8aYssvV0Ns+eVqiC3a1NACksDYYMSIEQwYMICVK1c2WT5v3jyOHDnCZ599pnkdvWiopSO2aE9DLR2xRXsaaumILa6HJDA26NSpE59//jk9evRosvzMmTMMGzaMy5cva15HLxpq6Ygt2tNQS0ds0Z6GWjpii+uh7xE+dhAWFsahQ4dslh86dIiwsDCX0NGLhlo6Yov2NNTSEVu0p6GWjtjierjNnz//BWffhBbx8PBg7ty5ZGVlUVlZSUFBAZmZmRw7dozXX3+dl19+mT/84Q/07dtX8zp60RBbfrkaYssvV0Ns0aaGFpAupGbYsWMHa9eu5fjx45jNZkBZDKhPnz7Mnj273pLZWtfRi4ZaOmKL9jTU0hFbtKehlo7Y4lpIAnMDmEwm8vLyAOjYsSMeHh4uq6MXDbV0xBbtaailI7ZoT0MtHbHFNZAERhAEQRAEl0MG8QqCIAiC4HJIAiMIgiAIgsshCYwgCJoiMTGRxMTEVp3z+eefs2zZMiwWSxvdlSAIWkMSGEEQXJ6DBw+yYsUKSWAE4ReEJDCCIAiCILgcksAIguA0kpOTueuuuwgNDSUhIYFdu3bVK6+oqGDBggUMGjSIiIgIYmNjmTx5MmfOnLG+Z9myZaxYsQKA4OBggoKCCAoKspaXlZXxxz/+kd69exMSEkLv3r3585//LK01guDiuDv7BgRB+GWyb98+Zs6cyejRo1m8eDG5ubksWLAAk8lE9+7dAaisrKSkpITnnnuOsLAwCgoKeOuttxg1ahRHjx4lLCyMRx55hEuXLvG3v/2Njz/+GDc3N6vGtWvXmDRpEqdOnWLOnDn06tWLo0eP8tJLL1FQUMCSJUucZb4gCHYiCYwgCE5h2bJlxMbGsnnzZoxGpTE4Li6OUaNGWROYwMBAXn31Ves5ZrOZkSNHEhsby/bt25k9ezYRERGEh4cD0L9/f9zdr3+sbd++nS+//JLdu3czZMgQAIYPHw7AihUr+O1vf0tISIgq9gqC4FikC0kQBNUxm818/fXXjB8/3pq8gJKAREdH13vvhx9+yMiRI4mOjqZjx46Eh4dTUlLCjz/+2KLO3r17iYqKYuDAgVy7ds36uvfeezGZTBw9etThtgmCoA7SAiMIgurk5eVhMpkIDQ1tVFb3WGpqKtOnT2fKlCnMmzePjh07YjQaeeihh6ioqGhR58qVK1y4cIHg4OAmy/Pz82/eCEEQnIokMIIgqE7tniw5OTmNynJycoiKigKUDeliYmJYt26dtdxkMlFQUHBDOh06dKBLly688847TZY3bO0RBMF1kARGEATVcXNzo1+/fuzcuZMFCxZYu5G++uorMjIyrAlMWVlZvTEtAFu2bLHurluLl5cXAOXl5QQEBFiPjxw5kp07d+Ln50dsbGxbmiQIgsq4zZ8//wVn34QgCL88oqKiWLt2Ld9++y0BAQEcPnyY5557Dh8fHzp06MDUqVMpKiri/fff5+rVq3h4ePCPf/yDV155BaPRSI8ePbj//vsBpStox44deHp64uPjQ3Z2Np07d+bWW2/l888/t7bglJeXc/bsWfbu3cvixYsZP368rnbnFYRfErIbtSAITmP79u0sX76cjIwMYmJi+MMf/sD69esB2L17NxaLhaVLl7Jp0yauXr1K3759WbZsGf/93//N0KFDrYmJ2Wxm3rx5/P3vfycvL4/q6moKCwsBZS2Z1atXs2PHDs6fP4+vry+33HILo0ePZs6cOY1aeARBcA0kgREEQRAEweWQadSCIAiCILgcksAIgiAIguBySAIjCIIgCILLIQmMIAiCIAguhyQwgiAIgiC4HJLACIIgCILgckgCIwiCIAiCyyEJjCAIgiAILockMIIgCIIguBz/D0uf95YOwc2bAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plot_rate_trend(WW_death_trend, 'rate')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <a id=sectionCases>Cases to date by Country</a>\n",
    "\n",
    "The following show the worldwide picture built up country by country.  Only the largest are shown, with the remainder\n",
    "grouped into 'other'.\n",
    "\n",
    "It begins with the current picture then shows what this would have looked like over important times past."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Total worldwide cases broken down by Country since mitigation\n",
    "cases.after(\"03/15/20\").stackbar(15, height=6, width=8)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "active.after(\"03/15/20\").stackbar(15, height=6, width=8)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Early Warning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# And during the early warning period\n",
    "cases.before(\"02/15/20\").stackbar(15, height=6, width=8)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "active.before(\"02/15/20\").stackbar(15, height=6, width=8)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Lost Month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# What the world picture looked like during the lost month\n",
    "cases.after(\"02/15/20\").before(\"03/15/20\").stackbar(15, height=6, width=8)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "active.after(\"02/15/20\").before(\"03/15/20\").stackbar(15, height=6, width=8)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cases since onset of community spread"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Cases by country over the past two weeks\n",
    "cases.top(20).tail(14).plot('date', width=8, height=6)\n",
    "_ = plots.xticks(rotation=45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cases_since(ts, region, threshold=100):\n",
    "    ctbl = ts.extract(region)\n",
    "    since = ctbl.where(ctbl[region] >= threshold)\n",
    "    ndays = since.num_rows\n",
    "    vals = since[region]\n",
    "    return vals\n",
    "        \n",
    "def show_cases_since(ts, threshold=100, limit=None, width=8, height=6):\n",
    "        _, axis = plots.subplots(figsize=(width, height))\n",
    "        for region in ts.categories :\n",
    "            vals = cases_since(ts, region, threshold)\n",
    "            if limit :\n",
    "                vals = vals[:limit]\n",
    "            axis.plot(vals)\n",
    "            axis.text(len(vals), vals[-1], region)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_cases_since(cases.top(10), 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# First 30 days after community spread\n",
    "show_cases_since(cases.top(12), 50, 35, height=8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <a id=sectionDeaths>Deaths to date by Country </a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "deaths.top(10).tail(14).plot('date', height=6, width=7)\n",
    "_ = plots.xticks(rotation=45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "deaths.after(\"03/01/20\").stackbar(15, height=6, width=8)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>date</th> <th>US</th> <th>new US</th> <th>%new US</th> <th>rate US</th> <th>Brazil</th> <th>new Brazil</th> <th>%new Brazil</th> <th>rate Brazil</th> <th>United Kingdom</th> <th>new United Kingdom</th> <th>%new United Kingdom</th> <th>rate United Kingdom</th> <th>Mexico</th> <th>new Mexico</th> <th>%new Mexico</th> <th>rate Mexico</th> <th>Italy</th> <th>new Italy</th> <th>%new Italy</th> <th>rate Italy</th> <th>France</th> <th>new France</th> <th>%new France</th> <th>rate France</th> <th>Spain</th> <th>new Spain</th> <th>%new Spain</th> <th>rate Spain</th> <th>India</th> <th>new India</th> <th>%new India</th> <th>rate India</th> <th>Iran</th> <th>new Iran</th> <th>%new Iran</th> <th>rate Iran</th> <th>Peru</th> <th>new Peru</th> <th>%new Peru</th> <th>rate Peru</th> <th>Russia</th> <th>new Russia</th> <th>%new Russia</th> <th>rate Russia</th> <th>Belgium</th> <th>new Belgium</th> <th>%new Belgium</th> <th>rate Belgium</th> <th>Germany</th> <th>new Germany</th> <th>%new Germany</th> <th>rate Germany</th> <th>Canada</th> <th>new Canada</th> <th>%new Canada</th> <th>rate Canada</th> <th>Chile</th> <th>new Chile</th> <th>%new Chile</th> <th>rate Chile</th> <th>Colombia</th> <th>new Colombia</th> <th>%new Colombia</th> <th>rate Colombia</th> <th>Netherlands</th> <th>new Netherlands</th> <th>%new Netherlands</th> <th>rate Netherlands</th> <th>Sweden</th> <th>new Sweden</th> <th>%new Sweden</th> <th>rate Sweden</th> <th>Pakistan</th> <th>new Pakistan</th> <th>%new Pakistan</th> <th>rate Pakistan</th> <th>Turkey</th> <th>new Turkey</th> <th>%new Turkey</th> <th>rate Turkey</th> <th>Ecuador</th> <th>new Ecuador</th> <th>%new Ecuador</th> <th>rate Ecuador</th> <th>South Africa</th> <th>new South Africa</th> <th>%new South Africa</th> <th>rate South Africa</th> <th>China</th> <th>new China</th> <th>%new China</th> <th>rate China</th> <th>Egypt</th> <th>new Egypt</th> <th>%new Egypt</th> <th>rate Egypt</th> <th>Indonesia</th> <th>new Indonesia</th> <th>%new Indonesia</th> <th>rate Indonesia</th> <th>Iraq</th> <th>new Iraq</th> <th>%new Iraq</th> <th>rate Iraq</th> <th>Bangladesh</th> <th>new Bangladesh</th> <th>%new Bangladesh</th> <th>rate Bangladesh</th> <th>Saudi Arabia</th> <th>new Saudi Arabia</th> <th>%new Saudi Arabia</th> <th>rate Saudi Arabia</th> <th>Argentina</th> <th>new Argentina</th> <th>%new Argentina</th> <th>rate Argentina</th> <th>Bolivia</th> <th>new Bolivia</th> <th>%new Bolivia</th> <th>rate Bolivia</th> <th>Romania</th> <th>new Romania</th> <th>%new Romania</th> <th>rate Romania</th> <th>Switzerland</th> <th>new Switzerland</th> <th>%new Switzerland</th> <th>rate Switzerland</th> <th>Philippines</th> <th>new Philippines</th> <th>%new Philippines</th> <th>rate Philippines</th> <th>Ireland</th> <th>new Ireland</th> <th>%new Ireland</th> <th>rate Ireland</th> <th>Portugal</th> <th>new Portugal</th> <th>%new Portugal</th> <th>rate Portugal</th> <th>Poland</th> <th>new Poland</th> <th>%new Poland</th> <th>rate Poland</th> <th>Ukraine</th> <th>new Ukraine</th> <th>%new Ukraine</th> <th>rate Ukraine</th> <th>Guatemala</th> <th>new Guatemala</th> <th>%new Guatemala</th> <th>rate Guatemala</th> <th>Afghanistan</th> <th>new Afghanistan</th> <th>%new Afghanistan</th> <th>rate Afghanistan</th> <th>Panama</th> <th>new Panama</th> <th>%new Panama</th> <th>rate Panama</th> <th>Algeria</th> <th>new Algeria</th> <th>%new Algeria</th> <th>rate Algeria</th> <th>Japan</th> <th>new Japan</th> <th>%new Japan</th> <th>rate Japan</th> <th>Dominican Republic</th> <th>new Dominican Republic</th> <th>%new Dominican Republic</th> <th>rate Dominican Republic</th> <th>Kyrgyzstan</th> <th>new Kyrgyzstan</th> <th>%new Kyrgyzstan</th> <th>rate Kyrgyzstan</th> <th>Honduras</th> <th>new Honduras</th> <th>%new Honduras</th> <th>rate Honduras</th> <th>Nigeria</th> <th>new Nigeria</th> <th>%new Nigeria</th> <th>rate Nigeria</th> <th>Austria</th> <th>new Austria</th> <th>%new Austria</th> <th>rate Austria</th> <th>Moldova</th> <th>new Moldova</th> <th>%new Moldova</th> <th>rate Moldova</th> <th>Sudan</th> <th>new Sudan</th> <th>%new Sudan</th> <th>rate Sudan</th> <th>Armenia</th> <th>new Armenia</th> <th>%new Armenia</th> <th>rate Armenia</th> <th>Denmark</th> <th>new Denmark</th> <th>%new Denmark</th> <th>rate Denmark</th> <th>Hungary</th> <th>new Hungary</th> <th>%new Hungary</th> <th>rate Hungary</th> <th>Belarus</th> <th>new Belarus</th> <th>%new Belarus</th> <th>rate Belarus</th> <th>Serbia</th> <th>new Serbia</th> <th>%new Serbia</th> <th>rate Serbia</th> <th>Yemen</th> <th>new Yemen</th> <th>%new Yemen</th> <th>rate Yemen</th> <th>North Macedonia</th> <th>new North Macedonia</th> <th>%new North Macedonia</th> <th>rate North Macedonia</th> <th>Kuwait</th> <th>new Kuwait</th> <th>%new Kuwait</th> <th>rate Kuwait</th> <th>Israel</th> <th>new Israel</th> <th>%new Israel</th> <th>rate Israel</th> <th>Kazakhstan</th> <th>new Kazakhstan</th> <th>%new Kazakhstan</th> <th>rate Kazakhstan</th> <th>Cameroon</th> <th>new Cameroon</th> <th>%new Cameroon</th> <th>rate Cameroon</th> <th>Czechia</th> <th>new Czechia</th> <th>%new Czechia</th> <th>rate Czechia</th> <th>Azerbaijan</th> <th>new Azerbaijan</th> <th>%new Azerbaijan</th> <th>rate Azerbaijan</th> <th>United Arab Emirates</th> <th>new United Arab Emirates</th> <th>%new United Arab Emirates</th> <th>rate United Arab Emirates</th> <th>Finland</th> <th>new Finland</th> <th>%new Finland</th> <th>rate Finland</th> <th>El Salvador</th> <th>new El Salvador</th> <th>%new El Salvador</th> <th>rate El Salvador</th> <th>Oman</th> <th>new Oman</th> <th>%new Oman</th> <th>rate Oman</th> <th>Bulgaria</th> <th>new Bulgaria</th> <th>%new Bulgaria</th> <th>rate Bulgaria</th> <th>Korea, South</th> <th>new Korea, South</th> <th>%new Korea, South</th> <th>rate Korea, South</th> <th>Morocco</th> <th>new Morocco</th> <th>%new Morocco</th> <th>rate Morocco</th> <th>Norway</th> <th>new Norway</th> <th>%new Norway</th> <th>rate Norway</th> <th>Bosnia and Herzegovina</th> <th>new Bosnia and Herzegovina</th> <th>%new Bosnia and Herzegovina</th> <th>rate Bosnia and Herzegovina</th> <th>Kenya</th> <th>new Kenya</th> <th>%new Kenya</th> <th>rate Kenya</th> <th>Greece</th> <th>new Greece</th> <th>%new Greece</th> <th>rate Greece</th> <th>Congo (Kinshasa)</th> <th>new Congo (Kinshasa)</th> <th>%new Congo (Kinshasa)</th> <th>rate Congo (Kinshasa)</th> <th>Ethiopia</th> <th>new Ethiopia</th> <th>%new Ethiopia</th> <th>rate Ethiopia</th> <th>Senegal</th> <th>new Senegal</th> <th>%new Senegal</th> <th>rate Senegal</th> <th>Qatar</th> <th>new Qatar</th> <th>%new Qatar</th> <th>rate Qatar</th> <th>Mauritania</th> <th>new Mauritania</th> <th>%new Mauritania</th> <th>rate Mauritania</th> <th>Haiti</th> <th>new Haiti</th> <th>%new Haiti</th> <th>rate Haiti</th> <th>Ghana</th> <th>new Ghana</th> <th>%new Ghana</th> <th>rate Ghana</th> <th>Kosovo</th> <th>new Kosovo</th> <th>%new Kosovo</th> <th>rate Kosovo</th> <th>Bahrain</th> <th>new Bahrain</th> <th>%new Bahrain</th> <th>rate Bahrain</th> <th>Australia</th> <th>new Australia</th> <th>%new Australia</th> <th>rate Australia</th> <th>Malaysia</th> <th>new Malaysia</th> <th>%new Malaysia</th> <th>rate Malaysia</th> <th>Mali</th> <th>new Mali</th> <th>%new Mali</th> <th>rate Mali</th> <th>Croatia</th> <th>new Croatia</th> <th>%new Croatia</th> <th>rate Croatia</th> <th>Zambia</th> <th>new Zambia</th> <th>%new Zambia</th> <th>rate Zambia</th> <th>Albania</th> <th>new Albania</th> <th>%new Albania</th> <th>rate Albania</th> <th>Luxembourg</th> <th>new Luxembourg</th> <th>%new Luxembourg</th> <th>rate Luxembourg</th> <th>Slovenia</th> <th>new Slovenia</th> <th>%new Slovenia</th> <th>rate Slovenia</th> <th>Venezuela</th> <th>new Venezuela</th> <th>%new Venezuela</th> <th>rate Venezuela</th> <th>Nicaragua</th> <th>new Nicaragua</th> <th>%new Nicaragua</th> <th>rate Nicaragua</th> <th>Somalia</th> <th>new Somalia</th> <th>%new Somalia</th> <th>rate Somalia</th> <th>Cote d'Ivoire</th> <th>new Cote d'Ivoire</th> <th>%new Cote d'Ivoire</th> <th>rate Cote d'Ivoire</th> <th>Cuba</th> <th>new Cuba</th> <th>%new Cuba</th> <th>rate Cuba</th> <th>Uzbekistan</th> <th>new Uzbekistan</th> <th>%new Uzbekistan</th> <th>rate Uzbekistan</th> <th>Lithuania</th> <th>new Lithuania</th> <th>%new Lithuania</th> <th>rate Lithuania</th> <th>Chad</th> <th>new Chad</th> <th>%new Chad</th> <th>rate Chad</th> <th>Liberia</th> <th>new Liberia</th> <th>%new Liberia</th> <th>rate Liberia</th> <th>Estonia</th> <th>new Estonia</th> <th>%new Estonia</th> <th>rate Estonia</th> <th>Niger</th> <th>new Niger</th> <th>%new Niger</th> <th>rate Niger</th> <th>Sierra Leone</th> <th>new Sierra Leone</th> <th>%new Sierra Leone</th> <th>rate Sierra Leone</th> <th>West Bank and Gaza</th> <th>new West Bank and Gaza</th> <th>%new West Bank and Gaza</th> <th>rate West Bank and Gaza</th> <th>Thailand</th> <th>new Thailand</th> <th>%new Thailand</th> <th>rate Thailand</th> <th>Tajikistan</th> <th>new Tajikistan</th> <th>%new Tajikistan</th> <th>rate Tajikistan</th> <th>Djibouti</th> <th>new Djibouti</th> <th>%new Djibouti</th> <th>rate Djibouti</th> <th>Central African Republic</th> <th>new Central African Republic</th> <th>%new Central African Republic</th> <th>rate Central African Republic</th> <th>Madagascar</th> <th>new Madagascar</th> <th>%new Madagascar</th> <th>rate Madagascar</th> <th>Malawi</th> <th>new Malawi</th> <th>%new Malawi</th> <th>rate Malawi</th> <th>Costa Rica</th> <th>new Costa Rica</th> <th>%new Costa Rica</th> <th>rate Costa Rica</th> <th>Burkina Faso</th> <th>new Burkina Faso</th> <th>%new Burkina Faso</th> <th>rate Burkina Faso</th> <th>Andorra</th> <th>new Andorra</th> <th>%new Andorra</th> <th>rate Andorra</th> <th>Equatorial Guinea</th> <th>new Equatorial Guinea</th> <th>%new Equatorial Guinea</th> <th>rate Equatorial Guinea</th> <th>Tunisia</th> <th>new Tunisia</th> <th>%new Tunisia</th> <th>rate Tunisia</th> <th>Congo (Brazzaville)</th> <th>new Congo (Brazzaville)</th> <th>%new Congo (Brazzaville)</th> <th>rate Congo (Brazzaville)</th> <th>Libya</th> <th>new Libya</th> <th>%new Libya</th> <th>rate Libya</th> <th>Gabon</th> <th>new Gabon</th> <th>%new Gabon</th> <th>rate Gabon</th> <th>South Sudan</th> <th>new South Sudan</th> <th>%new South Sudan</th> <th>rate South Sudan</th> <th>San Marino</th> <th>new San Marino</th> <th>%new San Marino</th> <th>rate San Marino</th> <th>Lebanon</th> <th>new Lebanon</th> <th>%new Lebanon</th> <th>rate Lebanon</th> <th>Nepal</th> <th>new Nepal</th> <th>%new Nepal</th> <th>rate Nepal</th> <th>Guinea</th> <th>new Guinea</th> <th>%new Guinea</th> <th>rate Guinea</th> <th>Uruguay</th> <th>new Uruguay</th> <th>%new Uruguay</th> <th>rate Uruguay</th> <th>Benin</th> <th>new Benin</th> <th>%new Benin</th> <th>rate Benin</th> <th>Latvia</th> <th>new Latvia</th> <th>%new Latvia</th> <th>rate Latvia</th> <th>Montenegro</th> <th>new Montenegro</th> <th>%new Montenegro</th> <th>rate Montenegro</th> <th>Angola</th> <th>new Angola</th> <th>%new Angola</th> <th>rate Angola</th> <th>Paraguay</th> <th>new Paraguay</th> <th>%new Paraguay</th> <th>rate Paraguay</th> <th>Slovakia</th> <th>new Slovakia</th> <th>%new Slovakia</th> <th>rate Slovakia</th> <th>Singapore</th> <th>new Singapore</th> <th>%new Singapore</th> <th>rate Singapore</th> <th>Guinea-Bissau</th> <th>new Guinea-Bissau</th> <th>%new Guinea-Bissau</th> <th>rate Guinea-Bissau</th> <th>Syria</th> <th>new Syria</th> <th>%new Syria</th> <th>rate Syria</th> <th>Zimbabwe</th> <th>new Zimbabwe</th> <th>%new Zimbabwe</th> <th>rate Zimbabwe</th> <th>New Zealand</th> <th>new New Zealand</th> <th>%new New Zealand</th> <th>rate New Zealand</th> <th>Cabo Verde</th> <th>new Cabo Verde</th> <th>%new Cabo Verde</th> <th>rate Cabo Verde</th> <th>Eswatini</th> <th>new Eswatini</th> <th>%new Eswatini</th> <th>rate Eswatini</th> <th>Tanzania</th> <th>new Tanzania</th> <th>%new Tanzania</th> <th>rate Tanzania</th> <th>Suriname</th> <th>new Suriname</th> <th>%new Suriname</th> <th>rate Suriname</th> <th>Cyprus</th> <th>new Cyprus</th> <th>%new Cyprus</th> <th>rate Cyprus</th> <th>Guyana</th> <th>new Guyana</th> <th>%new Guyana</th> <th>rate Guyana</th> <th>Georgia</th> <th>new Georgia</th> <th>%new Georgia</th> <th>rate Georgia</th> <th>Maldives</th> <th>new Maldives</th> <th>%new Maldives</th> <th>rate Maldives</th> <th>Togo</th> <th>new Togo</th> <th>%new Togo</th> <th>rate Togo</th> <th>Sao Tome and Principe</th> <th>new Sao Tome and Principe</th> <th>%new Sao Tome and Principe</th> <th>rate Sao Tome and Principe</th> <th>Diamond Princess</th> <th>new Diamond Princess</th> <th>%new Diamond Princess</th> <th>rate Diamond Princess</th> <th>Bahamas</th> <th>new Bahamas</th> <th>%new Bahamas</th> <th>rate Bahamas</th> <th>Jordan</th> <th>new Jordan</th> <th>%new Jordan</th> <th>rate Jordan</th> <th>Sri Lanka</th> <th>new Sri Lanka</th> <th>%new Sri Lanka</th> <th>rate Sri Lanka</th> <th>Iceland</th> <th>new Iceland</th> <th>%new Iceland</th> <th>rate Iceland</th> <th>Jamaica</th> <th>new Jamaica</th> <th>%new Jamaica</th> <th>rate Jamaica</th> <th>Mauritius</th> <th>new Mauritius</th> <th>%new Mauritius</th> <th>rate Mauritius</th> <th>Mozambique</th> <th>new Mozambique</th> <th>%new Mozambique</th> <th>rate Mozambique</th> <th>Malta</th> <th>new Malta</th> <th>%new Malta</th> <th>rate Malta</th> <th>Trinidad and Tobago</th> <th>new Trinidad and Tobago</th> <th>%new Trinidad and Tobago</th> <th>rate Trinidad and Tobago</th> <th>Barbados</th> <th>new Barbados</th> <th>%new Barbados</th> <th>rate Barbados</th> <th>Comoros</th> <th>new Comoros</th> <th>%new Comoros</th> <th>rate Comoros</th> <th>Taiwan*</th> <th>new Taiwan*</th> <th>%new Taiwan*</th> <th>rate Taiwan*</th> <th>Burma</th> <th>new Burma</th> <th>%new Burma</th> <th>rate Burma</th> <th>Lesotho</th> <th>new Lesotho</th> <th>%new Lesotho</th> <th>rate Lesotho</th> <th>Rwanda</th> <th>new Rwanda</th> <th>%new Rwanda</th> <th>rate Rwanda</th> <th>Gambia</th> <th>new Gambia</th> <th>%new Gambia</th> <th>rate Gambia</th> <th>Monaco</th> <th>new Monaco</th> <th>%new Monaco</th> <th>rate Monaco</th> <th>Antigua and Barbuda</th> <th>new Antigua and Barbuda</th> <th>%new Antigua and Barbuda</th> <th>rate Antigua and Barbuda</th> <th>Brunei</th> <th>new Brunei</th> <th>%new Brunei</th> <th>rate Brunei</th> <th>Belize</th> <th>new Belize</th> <th>%new Belize</th> <th>rate Belize</th> <th>MS Zaandam</th> <th>new MS Zaandam</th> <th>%new MS Zaandam</th> <th>rate MS Zaandam</th> <th>Namibia</th> <th>new Namibia</th> <th>%new Namibia</th> <th>rate Namibia</th> <th>Botswana</th> <th>new Botswana</th> <th>%new Botswana</th> <th>rate Botswana</th> <th>Burundi</th> <th>new Burundi</th> <th>%new Burundi</th> <th>rate Burundi</th> <th>Liechtenstein</th> <th>new Liechtenstein</th> <th>%new Liechtenstein</th> <th>rate Liechtenstein</th> <th>Western Sahara</th> <th>new Western Sahara</th> <th>%new Western Sahara</th> <th>rate Western Sahara</th> <th>Bhutan</th> <th>new Bhutan</th> <th>%new Bhutan</th> <th>rate Bhutan</th> <th>Cambodia</th> <th>new Cambodia</th> <th>%new Cambodia</th> <th>rate Cambodia</th> <th>Dominica</th> <th>new Dominica</th> <th>%new Dominica</th> <th>rate Dominica</th> <th>Eritrea</th> <th>new Eritrea</th> <th>%new Eritrea</th> <th>rate Eritrea</th> <th>Fiji</th> <th>new Fiji</th> <th>%new Fiji</th> <th>rate Fiji</th> <th>Grenada</th> <th>new Grenada</th> <th>%new Grenada</th> <th>rate Grenada</th> <th>Holy See</th> <th>new Holy See</th> <th>%new Holy See</th> <th>rate Holy See</th> <th>Laos</th> <th>new Laos</th> <th>%new Laos</th> <th>rate Laos</th> <th>Mongolia</th> <th>new Mongolia</th> <th>%new Mongolia</th> <th>rate Mongolia</th> <th>Papua New Guinea</th> <th>new Papua New Guinea</th> <th>%new Papua New Guinea</th> <th>rate Papua New Guinea</th> <th>Saint Kitts and Nevis</th> <th>new Saint Kitts and Nevis</th> <th>%new Saint Kitts and Nevis</th> <th>rate Saint Kitts and Nevis</th> <th>Saint Lucia</th> <th>new Saint Lucia</th> <th>%new Saint Lucia</th> <th>rate Saint Lucia</th> <th>Saint Vincent and the Grenadines</th> <th>new Saint Vincent and the Grenadines</th> <th>%new Saint Vincent and the Grenadines</th> <th>rate Saint Vincent and the Grenadines</th> <th>Seychelles</th> <th>new Seychelles</th> <th>%new Seychelles</th> <th>rate Seychelles</th> <th>Timor-Leste</th> <th>new Timor-Leste</th> <th>%new Timor-Leste</th> <th>rate Timor-Leste</th> <th>Uganda</th> <th>new Uganda</th> <th>%new Uganda</th> <th>rate Uganda</th> <th>Vietnam</th> <th>new Vietnam</th> <th>%new Vietnam</th> <th>rate Vietnam</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>07/11/20</td> <td>134777</td> <td>676   </td> <td>0.00501569</td> <td>1.00504</td> <td>71469 </td> <td>1071      </td> <td>0.0149855  </td> <td>1.01521    </td> <td>44883         </td> <td>148               </td> <td>0.00329746         </td> <td>1.00331            </td> <td>34730 </td> <td>539       </td> <td>0.0155197  </td> <td>1.01576    </td> <td>34945</td> <td>7        </td> <td>0.000200315</td> <td>1.0002    </td> <td>30007 </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>28403</td> <td>0        </td> <td>0          </td> <td>1         </td> <td>22673</td> <td>550      </td> <td>0.0242579 </td> <td>1.02486   </td> <td>12635</td> <td>188     </td> <td>0.0148793</td> <td>1.0151   </td> <td>11682</td> <td>182     </td> <td>0.0155795</td> <td>1.01583  </td> <td>11188 </td> <td>188       </td> <td>0.0168037  </td> <td>1.01709    </td> <td>9782   </td> <td>1          </td> <td>0.000102229 </td> <td>1.0001      </td> <td>9070   </td> <td>7          </td> <td>0.000771775 </td> <td>1.00077     </td> <td>8818  </td> <td>7         </td> <td>0.000793831</td> <td>1.00079    </td> <td>6881 </td> <td>100      </td> <td>0.0145328 </td> <td>1.01475   </td> <td>5119    </td> <td>194         </td> <td>0.037898     </td> <td>1.03939      </td> <td>6156       </td> <td>1              </td> <td>0.000162443     </td> <td>1.00016         </td> <td>5526  </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>5197    </td> <td>74          </td> <td>0.014239     </td> <td>1.01444      </td> <td>5344  </td> <td>21        </td> <td>0.00392964 </td> <td>1.00395    </td> <td>5031   </td> <td>92         </td> <td>0.0182866   </td> <td>1.01863     </td> <td>3971        </td> <td>111             </td> <td>0.0279527        </td> <td>1.02876          </td> <td>4641 </td> <td>0        </td> <td>0          </td> <td>1         </td> <td>3769 </td> <td>67       </td> <td>0.0177766 </td> <td>1.0181    </td> <td>3535     </td> <td>66           </td> <td>0.0186704     </td> <td>1.01903       </td> <td>3055</td> <td>95      </td> <td>0.0310966</td> <td>1.03209  </td> <td>2305      </td> <td>30            </td> <td>0.0130152      </td> <td>1.01319        </td> <td>2181        </td> <td>30              </td> <td>0.0137552        </td> <td>1.01395          </td> <td>1810     </td> <td>36           </td> <td>0.0198895     </td> <td>1.02029       </td> <td>1754   </td> <td>52         </td> <td>0.0296465   </td> <td>1.03055     </td> <td>1871   </td> <td>24         </td> <td>0.0128274   </td> <td>1.01299     </td> <td>1968       </td> <td>2              </td> <td>0.00101626      </td> <td>1.00102         </td> <td>1372       </td> <td>12             </td> <td>0.00874636      </td> <td>1.00882         </td> <td>1746   </td> <td>2          </td> <td>0.00114548  </td> <td>1.00115     </td> <td>1654    </td> <td>8           </td> <td>0.00483676   </td> <td>1.00486      </td> <td>1568  </td> <td>6         </td> <td>0.00382653 </td> <td>1.00384    </td> <td>1389   </td> <td>27         </td> <td>0.0194384   </td> <td>1.01982     </td> <td>1172     </td> <td>33           </td> <td>0.028157      </td> <td>1.02897       </td> <td>994        </td> <td>23             </td> <td>0.0231388       </td> <td>1.02369         </td> <td>893   </td> <td>30        </td> <td>0.0335946  </td> <td>1.03476    </td> <td>1004   </td> <td>8          </td> <td>0.00796813  </td> <td>1.00803     </td> <td>982  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>880               </td> <td>16                    </td> <td>0.0181818              </td> <td>1.01852                </td> <td>129       </td> <td>4             </td> <td>0.0310078      </td> <td>1.032          </td> <td>771     </td> <td>21          </td> <td>0.0272374    </td> <td>1.028        </td> <td>724    </td> <td>15         </td> <td>0.0207182   </td> <td>1.02116     </td> <td>706    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>640    </td> <td>5          </td> <td>0.0078125   </td> <td>1.00787     </td> <td>650  </td> <td>1        </td> <td>0.00153846</td> <td>1.00154   </td> <td>559    </td> <td>13         </td> <td>0.0232558   </td> <td>1.02381     </td> <td>609    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>595    </td> <td>2          </td> <td>0.00336134  </td> <td>1.00337     </td> <td>459    </td> <td>5          </td> <td>0.0108932   </td> <td>1.01101     </td> <td>382   </td> <td>12        </td> <td>0.0314136  </td> <td>1.03243    </td> <td>365  </td> <td>1        </td> <td>0.00273973</td> <td>1.00275   </td> <td>376            </td> <td>8                  </td> <td>0.0212766           </td> <td>1.02174             </td> <td>386   </td> <td>3         </td> <td>0.00777202 </td> <td>1.00783    </td> <td>354   </td> <td>3         </td> <td>0.00847458 </td> <td>1.00855    </td> <td>264       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>359     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>352    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>298       </td> <td>6             </td> <td>0.0201342      </td> <td>1.02055        </td> <td>331                 </td> <td>1                       </td> <td>0.00302115               </td> <td>1.00303                  </td> <td>329    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>254        </td> <td>5              </td> <td>0.019685        </td> <td>1.02008         </td> <td>248 </td> <td>4       </td> <td>0.016129  </td> <td>1.01639  </td> <td>267     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>289         </td> <td>1               </td> <td>0.00346021       </td> <td>1.00347          </td> <td>245    </td> <td>2          </td> <td>0.00816327  </td> <td>1.00823     </td> <td>252   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>219                   </td> <td>3                         </td> <td>0.0136986                  </td> <td>1.01389                    </td> <td>184  </td> <td>3        </td> <td>0.0163043 </td> <td>1.01657   </td> <td>193   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>189             </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>124     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>145    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>146  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>147       </td> <td>1             </td> <td>0.00680272     </td> <td>1.00685        </td> <td>139  </td> <td>4        </td> <td>0.028777  </td> <td>1.02963   </td> <td>135  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>101   </td> <td>7         </td> <td>0.0693069  </td> <td>1.07447    </td> <td>104    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>108      </td> <td>1            </td> <td>0.00925926    </td> <td>1.00935       </td> <td>122     </td> <td>1           </td> <td>0.00819672   </td> <td>1.00826      </td> <td>121 </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>118    </td> <td>1          </td> <td>0.00847458  </td> <td>1.00855     </td> <td>42    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>89     </td> <td>4          </td> <td>0.0449438   </td> <td>1.04706     </td> <td>110       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>111     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>85       </td> <td>2            </td> <td>0.0235294     </td> <td>1.0241        </td> <td>91       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>92     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>82           </td> <td>1                </td> <td>0.0121951         </td> <td>1.01235           </td> <td>87  </td> <td>1       </td> <td>0.0114943</td> <td>1.01163  </td> <td>57        </td> <td>3             </td> <td>0.0526316      </td> <td>1.05556        </td> <td>79       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>74  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>47     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>69     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>68   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>63          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>33                </td> <td>6                     </td> <td>0.181818               </td> <td>1.22222                </td> <td>58      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>55        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>56      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>53                      </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>34        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>33    </td> <td>2         </td> <td>0.0606061  </td> <td>1.06452    </td> <td>28        </td> <td>2             </td> <td>0.0714286      </td> <td>1.07692        </td> <td>53          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>52     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>51               </td> <td>0                    </td> <td>0                     </td> <td>1                     </td> <td>50     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>47                 </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>38   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>46   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>38         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>42        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>36     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>38   </td> <td>3        </td> <td>0.0789474 </td> <td>1.08571   </td> <td>37    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>30     </td> <td>1          </td> <td>0.0333333   </td> <td>1.03448     </td> <td>26   </td> <td>3        </td> <td>0.115385  </td> <td>1.13043   </td> <td>30    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>23        </td> <td>4             </td> <td>0.173913       </td> <td>1.21053        </td> <td>23    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>21      </td> <td>1           </td> <td>0.047619     </td> <td>1.05         </td> <td>28      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>26       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>26           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>16   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>18      </td> <td>5           </td> <td>0.277778     </td> <td>1.38462      </td> <td>22         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>19        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>18      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>21      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>18      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>19    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>17    </td> <td>1         </td> <td>0.0588235  </td> <td>1.0625     </td> <td>15     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>13      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>15  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>14                   </td> <td>0                        </td> <td>0                         </td> <td>1                         </td> <td>13              </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>11     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>11       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>9         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>9    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>8                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>7       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>6    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>4     </td> <td>1         </td> <td>0.25       </td> <td>1.33333    </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>1             </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan                  </td> <td>nan                  </td> <td>0                    </td> <td>0                        </td> <td>nan                       </td> <td>nan                       </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0                               </td> <td>0                                   </td> <td>nan                                  </td> <td>nan                                  </td> <td>0         </td> <td>0             </td> <td>nan            </td> <td>nan            </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/12/20</td> <td>135205</td> <td>428   </td> <td>0.00316556</td> <td>1.00318</td> <td>72100 </td> <td>631       </td> <td>0.00875173 </td> <td>1.00883    </td> <td>44904         </td> <td>21                </td> <td>0.000467664        </td> <td>1.00047            </td> <td>35006 </td> <td>276       </td> <td>0.00788436 </td> <td>1.00795    </td> <td>34954</td> <td>9        </td> <td>0.000257481</td> <td>1.00026   </td> <td>30007 </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>28403</td> <td>0        </td> <td>0          </td> <td>1         </td> <td>23174</td> <td>501      </td> <td>0.0216191 </td> <td>1.0221    </td> <td>12829</td> <td>194     </td> <td>0.015122 </td> <td>1.01535  </td> <td>11870</td> <td>188     </td> <td>0.0158382</td> <td>1.01609  </td> <td>11318 </td> <td>130       </td> <td>0.0114861  </td> <td>1.01162    </td> <td>9782   </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>9071   </td> <td>1          </td> <td>0.000110241 </td> <td>1.00011     </td> <td>8829  </td> <td>11        </td> <td>0.00124589 </td> <td>1.00125    </td> <td>6979 </td> <td>98       </td> <td>0.0140421 </td> <td>1.01424   </td> <td>5307    </td> <td>188         </td> <td>0.0354249    </td> <td>1.03673      </td> <td>6156       </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>5526  </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>5266    </td> <td>69          </td> <td>0.0131029    </td> <td>1.01328      </td> <td>5363  </td> <td>19        </td> <td>0.00354279 </td> <td>1.00356    </td> <td>5047   </td> <td>16         </td> <td>0.0031702   </td> <td>1.00318     </td> <td>4079        </td> <td>108             </td> <td>0.0264771        </td> <td>1.0272           </td> <td>4641 </td> <td>0        </td> <td>0          </td> <td>1         </td> <td>3858 </td> <td>89       </td> <td>0.0230689 </td> <td>1.02361   </td> <td>3606     </td> <td>71           </td> <td>0.0196894     </td> <td>1.02008       </td> <td>3150</td> <td>95      </td> <td>0.0301587</td> <td>1.0311   </td> <td>2352      </td> <td>47            </td> <td>0.019983       </td> <td>1.02039        </td> <td>2223        </td> <td>42              </td> <td>0.0188934        </td> <td>1.01926          </td> <td>1845     </td> <td>35           </td> <td>0.0189702     </td> <td>1.01934       </td> <td>1807   </td> <td>53         </td> <td>0.0293304   </td> <td>1.03022     </td> <td>1884   </td> <td>13         </td> <td>0.00690021  </td> <td>1.00695     </td> <td>1968       </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>1534       </td> <td>162            </td> <td>0.105606        </td> <td>1.11808         </td> <td>1746   </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1660    </td> <td>6           </td> <td>0.00361446   </td> <td>1.00363      </td> <td>1571  </td> <td>3         </td> <td>0.00190961 </td> <td>1.00191    </td> <td>1400   </td> <td>11         </td> <td>0.00785714  </td> <td>1.00792     </td> <td>1219     </td> <td>47           </td> <td>0.0385562     </td> <td>1.0401        </td> <td>1010       </td> <td>16             </td> <td>0.0158416       </td> <td>1.0161          </td> <td>909   </td> <td>16        </td> <td>0.0176018  </td> <td>1.01792    </td> <td>1011   </td> <td>7          </td> <td>0.00692384  </td> <td>1.00697     </td> <td>983  </td> <td>1        </td> <td>0.00101729</td> <td>1.00102   </td> <td>897               </td> <td>17                    </td> <td>0.0189521              </td> <td>1.01932                </td> <td>147       </td> <td>18            </td> <td>0.122449       </td> <td>1.13953        </td> <td>774     </td> <td>3           </td> <td>0.00387597   </td> <td>1.00389      </td> <td>740    </td> <td>16         </td> <td>0.0216216   </td> <td>1.0221      </td> <td>708    </td> <td>2          </td> <td>0.00282486  </td> <td>1.00283     </td> <td>642    </td> <td>2          </td> <td>0.00311526  </td> <td>1.00313     </td> <td>650  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>565    </td> <td>6          </td> <td>0.0106195   </td> <td>1.01073     </td> <td>609    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>595    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>464    </td> <td>5          </td> <td>0.0107759   </td> <td>1.01089     </td> <td>393   </td> <td>11        </td> <td>0.0279898  </td> <td>1.0288     </td> <td>417  </td> <td>52       </td> <td>0.1247    </td> <td>1.14247   </td> <td>382            </td> <td>6                  </td> <td>0.0157068           </td> <td>1.01596             </td> <td>390   </td> <td>4         </td> <td>0.0102564  </td> <td>1.01036    </td> <td>362   </td> <td>8         </td> <td>0.0220994  </td> <td>1.0226     </td> <td>375       </td> <td>111           </td> <td>0.296          </td> <td>1.42045        </td> <td>359     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>352    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>306       </td> <td>8             </td> <td>0.0261438      </td> <td>1.02685        </td> <td>333                 </td> <td>2                       </td> <td>0.00600601               </td> <td>1.00604                  </td> <td>329    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>260        </td> <td>6              </td> <td>0.0230769       </td> <td>1.02362         </td> <td>257 </td> <td>9       </td> <td>0.0350195 </td> <td>1.03629  </td> <td>268     </td> <td>1           </td> <td>0.00373134   </td> <td>1.00375      </td> <td>289         </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>250    </td> <td>5          </td> <td>0.02        </td> <td>1.02041     </td> <td>252   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>221                   </td> <td>2                         </td> <td>0.00904977                 </td> <td>1.00913                    </td> <td>185  </td> <td>1        </td> <td>0.00540541</td> <td>1.00543   </td> <td>193   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>189             </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>127     </td> <td>3           </td> <td>0.023622     </td> <td>1.02419      </td> <td>148    </td> <td>3          </td> <td>0.0202703   </td> <td>1.02069     </td> <td>147  </td> <td>1        </td> <td>0.00680272</td> <td>1.00685   </td> <td>147       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>139  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>139  </td> <td>4        </td> <td>0.028777  </td> <td>1.02963   </td> <td>102   </td> <td>1         </td> <td>0.00980392 </td> <td>1.0099     </td> <td>108    </td> <td>4          </td> <td>0.037037    </td> <td>1.03846     </td> <td>108      </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>122     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>121 </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>119    </td> <td>1          </td> <td>0.00840336  </td> <td>1.00847     </td> <td>42    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>93     </td> <td>4          </td> <td>0.0430108   </td> <td>1.04494     </td> <td>111       </td> <td>1             </td> <td>0.00900901     </td> <td>1.00909        </td> <td>111     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>89       </td> <td>4            </td> <td>0.0449438     </td> <td>1.04706       </td> <td>91       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>93     </td> <td>1          </td> <td>0.0107527   </td> <td>1.01087     </td> <td>84           </td> <td>2                </td> <td>0.0238095         </td> <td>1.02439           </td> <td>87  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>60        </td> <td>3             </td> <td>0.05           </td> <td>1.05263        </td> <td>79       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>75  </td> <td>1       </td> <td>0.0133333</td> <td>1.01351  </td> <td>51     </td> <td>4          </td> <td>0.0784314   </td> <td>1.08511     </td> <td>69     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>68   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>63          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>36                </td> <td>3                     </td> <td>0.0833333              </td> <td>1.09091                </td> <td>58      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>55        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>56      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>53                      </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>35        </td> <td>1             </td> <td>0.0285714      </td> <td>1.02941        </td> <td>38    </td> <td>5         </td> <td>0.131579   </td> <td>1.15152    </td> <td>30        </td> <td>2             </td> <td>0.0666667      </td> <td>1.07143        </td> <td>53          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>52     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>51               </td> <td>0                    </td> <td>0                     </td> <td>1                     </td> <td>50     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>47                 </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>39   </td> <td>1        </td> <td>0.025641  </td> <td>1.02632   </td> <td>46   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>38         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>42        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>36     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>38   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>37    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>31     </td> <td>1          </td> <td>0.0322581   </td> <td>1.03333     </td> <td>26   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>30    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>23        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>26    </td> <td>3         </td> <td>0.115385   </td> <td>1.13043    </td> <td>22      </td> <td>1           </td> <td>0.0454545    </td> <td>1.04762      </td> <td>28      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>26       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>26           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>16   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>18      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>22         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>19        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>20      </td> <td>2           </td> <td>0.1          </td> <td>1.11111      </td> <td>21      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>18      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>19    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>17    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>15     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>13      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>15  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>14                   </td> <td>0                        </td> <td>0                         </td> <td>1                         </td> <td>13              </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>11     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>11       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>9         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>9    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>8                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>7       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>6    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>2      </td> <td>1          </td> <td>0.5         </td> <td>2           </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>1             </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan                  </td> <td>nan                  </td> <td>0                    </td> <td>0                        </td> <td>nan                       </td> <td>nan                       </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0                               </td> <td>0                                   </td> <td>nan                                  </td> <td>nan                                  </td> <td>0         </td> <td>0             </td> <td>nan            </td> <td>nan            </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/13/20</td> <td>135566</td> <td>361   </td> <td>0.00266291</td> <td>1.00267</td> <td>72833 </td> <td>733       </td> <td>0.0100641  </td> <td>1.01017    </td> <td>44915         </td> <td>11                </td> <td>0.000244907        </td> <td>1.00024            </td> <td>35491 </td> <td>485       </td> <td>0.0136654  </td> <td>1.01385    </td> <td>34967</td> <td>13       </td> <td>0.000371779</td> <td>1.00037   </td> <td>30032 </td> <td>25        </td> <td>0.000832445</td> <td>1.00083    </td> <td>28406</td> <td>3        </td> <td>0.000105611</td> <td>1.00011   </td> <td>23727</td> <td>553      </td> <td>0.0233068 </td> <td>1.02386   </td> <td>13032</td> <td>203     </td> <td>0.015577 </td> <td>1.01582  </td> <td>12054</td> <td>184     </td> <td>0.0152646</td> <td>1.0155   </td> <td>11422 </td> <td>104       </td> <td>0.00910524 </td> <td>1.00919    </td> <td>9782   </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>9074   </td> <td>3          </td> <td>0.000330615 </td> <td>1.00033     </td> <td>8836  </td> <td>7         </td> <td>0.000792214</td> <td>1.00079    </td> <td>7024 </td> <td>45       </td> <td>0.00640661</td> <td>1.00645   </td> <td>5455    </td> <td>148         </td> <td>0.0271311    </td> <td>1.02789      </td> <td>6156       </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>5536  </td> <td>10        </td> <td>0.00180636 </td> <td>1.00181    </td> <td>5320    </td> <td>54          </td> <td>0.0101504    </td> <td>1.01025      </td> <td>5382  </td> <td>19        </td> <td>0.00353029 </td> <td>1.00354    </td> <td>5063   </td> <td>16         </td> <td>0.00316018  </td> <td>1.00317     </td> <td>4172        </td> <td>93              </td> <td>0.0222915        </td> <td>1.0228           </td> <td>4641 </td> <td>0        </td> <td>0          </td> <td>1         </td> <td>3935 </td> <td>77       </td> <td>0.019568  </td> <td>1.01996   </td> <td>3656     </td> <td>50           </td> <td>0.0136761     </td> <td>1.01387       </td> <td>3250</td> <td>100     </td> <td>0.0307692</td> <td>1.03175  </td> <td>2391      </td> <td>39            </td> <td>0.0163112      </td> <td>1.01658        </td> <td>2243        </td> <td>20              </td> <td>0.00891663       </td> <td>1.009            </td> <td>1903     </td> <td>58           </td> <td>0.0304782     </td> <td>1.03144       </td> <td>1866   </td> <td>59         </td> <td>0.0316184   </td> <td>1.03265     </td> <td>1901   </td> <td>17         </td> <td>0.00894266  </td> <td>1.00902     </td> <td>1968       </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>1599       </td> <td>65             </td> <td>0.0406504       </td> <td>1.04237         </td> <td>1746   </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1662    </td> <td>2           </td> <td>0.00120337   </td> <td>1.0012       </td> <td>1576  </td> <td>5         </td> <td>0.00317259 </td> <td>1.00318    </td> <td>1415   </td> <td>15         </td> <td>0.0106007   </td> <td>1.01071     </td> <td>1244     </td> <td>25           </td> <td>0.0200965     </td> <td>1.02051       </td> <td>1012       </td> <td>2              </td> <td>0.00197628      </td> <td>1.00198         </td> <td>932   </td> <td>23        </td> <td>0.0246781  </td> <td>1.0253     </td> <td>1018   </td> <td>7          </td> <td>0.00687623  </td> <td>1.00692     </td> <td>984  </td> <td>1        </td> <td>0.00101626</td> <td>1.00102   </td> <td>903               </td> <td>6                     </td> <td>0.00664452             </td> <td>1.00669                </td> <td>149       </td> <td>2             </td> <td>0.0134228      </td> <td>1.01361        </td> <td>789     </td> <td>15          </td> <td>0.0190114    </td> <td>1.01938      </td> <td>744    </td> <td>4          </td> <td>0.00537634  </td> <td>1.00541     </td> <td>708    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>649    </td> <td>7          </td> <td>0.0107858   </td> <td>1.0109      </td> <td>657  </td> <td>7        </td> <td>0.0106545 </td> <td>1.01077   </td> <td>573    </td> <td>8          </td> <td>0.0139616   </td> <td>1.01416     </td> <td>610    </td> <td>1          </td> <td>0.00163934  </td> <td>1.00164     </td> <td>595    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>468    </td> <td>4          </td> <td>0.00854701  </td> <td>1.00862     </td> <td>405   </td> <td>12        </td> <td>0.0296296  </td> <td>1.03053    </td> <td>424  </td> <td>7        </td> <td>0.0165094 </td> <td>1.01679   </td> <td>385            </td> <td>3                  </td> <td>0.00779221          </td> <td>1.00785             </td> <td>393   </td> <td>3         </td> <td>0.00763359 </td> <td>1.00769    </td> <td>365   </td> <td>3         </td> <td>0.00821918 </td> <td>1.00829    </td> <td>375       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>359     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>353    </td> <td>1          </td> <td>0.00283286  </td> <td>1.00284     </td> <td>313       </td> <td>7             </td> <td>0.0223642      </td> <td>1.02288        </td> <td>334                 </td> <td>1                       </td> <td>0.00299401               </td> <td>1.003                    </td> <td>329    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>267        </td> <td>7              </td> <td>0.0262172       </td> <td>1.02692         </td> <td>259 </td> <td>2       </td> <td>0.00772201</td> <td>1.00778  </td> <td>276     </td> <td>8           </td> <td>0.0289855    </td> <td>1.02985      </td> <td>289         </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>255    </td> <td>5          </td> <td>0.0196078   </td> <td>1.02        </td> <td>253   </td> <td>1         </td> <td>0.00395257 </td> <td>1.00397    </td> <td>226                   </td> <td>5                         </td> <td>0.0221239                  </td> <td>1.02262                    </td> <td>197  </td> <td>12       </td> <td>0.0609137 </td> <td>1.06486   </td> <td>193   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>190             </td> <td>1                   </td> <td>0.00526316           </td> <td>1.00529              </td> <td>128     </td> <td>1           </td> <td>0.0078125    </td> <td>1.00787      </td> <td>150    </td> <td>2          </td> <td>0.0133333   </td> <td>1.01351     </td> <td>149  </td> <td>2        </td> <td>0.0134228 </td> <td>1.01361   </td> <td>147       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>141  </td> <td>2        </td> <td>0.0141844 </td> <td>1.01439   </td> <td>139  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>108   </td> <td>6         </td> <td>0.0555556  </td> <td>1.05882    </td> <td>109    </td> <td>1          </td> <td>0.00917431  </td> <td>1.00926     </td> <td>108      </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>122     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>121 </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>119    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>42    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>95     </td> <td>2          </td> <td>0.0210526   </td> <td>1.02151     </td> <td>111       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>111     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>93       </td> <td>4            </td> <td>0.0430108     </td> <td>1.04494       </td> <td>91       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>93     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>84           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>87  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>64        </td> <td>4             </td> <td>0.0625         </td> <td>1.06667        </td> <td>79       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>75  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>51     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>69     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>68   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>63          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>39                </td> <td>3                     </td> <td>0.0769231              </td> <td>1.08333                </td> <td>58      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>55        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>56      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>53                      </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>37        </td> <td>2             </td> <td>0.0540541      </td> <td>1.05714        </td> <td>39    </td> <td>1         </td> <td>0.025641   </td> <td>1.02632    </td> <td>34        </td> <td>4             </td> <td>0.117647       </td> <td>1.13333        </td> <td>53          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>52     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>51               </td> <td>0                    </td> <td>0                     </td> <td>1                     </td> <td>50     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>47                 </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>40   </td> <td>1        </td> <td>0.025     </td> <td>1.02564   </td> <td>46   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>41         </td> <td>3              </td> <td>0.0731707       </td> <td>1.07895         </td> <td>42        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>36     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>38   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>37    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>31     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>26   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>31    </td> <td>1         </td> <td>0.0322581  </td> <td>1.03333    </td> <td>24        </td> <td>1             </td> <td>0.0416667      </td> <td>1.04348        </td> <td>26    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>25      </td> <td>3           </td> <td>0.12         </td> <td>1.13636      </td> <td>28      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>26       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>26           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>19   </td> <td>3        </td> <td>0.157895  </td> <td>1.1875    </td> <td>19      </td> <td>1           </td> <td>0.0526316    </td> <td>1.05556      </td> <td>22         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>19        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>20      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>21      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>18      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>19    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>17    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>15     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>13      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>15  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>14                   </td> <td>0                        </td> <td>0                         </td> <td>1                         </td> <td>13              </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>11     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>11       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>9         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>9    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>8                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>7       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>6    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>3      </td> <td>1          </td> <td>0.333333    </td> <td>1.5         </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>1             </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan                  </td> <td>nan                  </td> <td>0                    </td> <td>0                        </td> <td>nan                       </td> <td>nan                       </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0                               </td> <td>0                                   </td> <td>nan                                  </td> <td>nan                                  </td> <td>0         </td> <td>0             </td> <td>nan            </td> <td>nan            </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/14/20</td> <td>136466</td> <td>900   </td> <td>0.00659505</td> <td>1.00664</td> <td>74133 </td> <td>1300      </td> <td>0.0175361  </td> <td>1.01785    </td> <td>45053         </td> <td>138               </td> <td>0.00306306         </td> <td>1.00307            </td> <td>36327 </td> <td>836       </td> <td>0.0230132  </td> <td>1.02356    </td> <td>34984</td> <td>17       </td> <td>0.000485936</td> <td>1.00049   </td> <td>30032 </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>28409</td> <td>3        </td> <td>0.0001056  </td> <td>1.00011   </td> <td>24309</td> <td>582      </td> <td>0.0239417 </td> <td>1.02453   </td> <td>13211</td> <td>179     </td> <td>0.0135493</td> <td>1.01374  </td> <td>12229</td> <td>175     </td> <td>0.0143102</td> <td>1.01452  </td> <td>11597 </td> <td>175       </td> <td>0.0150901  </td> <td>1.01532    </td> <td>9787   </td> <td>5          </td> <td>0.000510882 </td> <td>1.00051     </td> <td>9078   </td> <td>4          </td> <td>0.000440626 </td> <td>1.00044     </td> <td>8845  </td> <td>9         </td> <td>0.00101752 </td> <td>1.00102    </td> <td>7069 </td> <td>45       </td> <td>0.00636582</td> <td>1.00641   </td> <td>5625    </td> <td>170         </td> <td>0.0302222    </td> <td>1.03116      </td> <td>6154       </td> <td>-2             </td> <td>-0.000324992    </td> <td>0.999675        </td> <td>5545  </td> <td>9         </td> <td>0.00162308 </td> <td>1.00163    </td> <td>5386    </td> <td>66          </td> <td>0.012254     </td> <td>1.01241      </td> <td>5402  </td> <td>20        </td> <td>0.00370233 </td> <td>1.00372    </td> <td>5130   </td> <td>67         </td> <td>0.0130604   </td> <td>1.01323     </td> <td>4346        </td> <td>174             </td> <td>0.0400368        </td> <td>1.04171          </td> <td>4642 </td> <td>1        </td> <td>0.000215424</td> <td>1.00022   </td> <td>4008 </td> <td>73       </td> <td>0.0182136 </td> <td>1.01855   </td> <td>3710     </td> <td>54           </td> <td>0.0145553     </td> <td>1.01477       </td> <td>3345</td> <td>95      </td> <td>0.0284006</td> <td>1.02923  </td> <td>2424      </td> <td>33            </td> <td>0.0136139      </td> <td>1.0138         </td> <td>2283        </td> <td>40              </td> <td>0.0175208        </td> <td>1.01783          </td> <td>1968     </td> <td>65           </td> <td>0.0330285     </td> <td>1.03416       </td> <td>1898   </td> <td>32         </td> <td>0.0168599   </td> <td>1.01715     </td> <td>1931   </td> <td>30         </td> <td>0.015536    </td> <td>1.01578     </td> <td>1968       </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>1603       </td> <td>4              </td> <td>0.00249532      </td> <td>1.0025          </td> <td>1746   </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1668    </td> <td>6           </td> <td>0.00359712   </td> <td>1.00361      </td> <td>1588  </td> <td>12        </td> <td>0.00755668 </td> <td>1.00761    </td> <td>1429   </td> <td>14         </td> <td>0.00979706  </td> <td>1.00989     </td> <td>1302     </td> <td>58           </td> <td>0.0445469     </td> <td>1.04662       </td> <td>1048       </td> <td>36             </td> <td>0.0343511       </td> <td>1.03557         </td> <td>960   </td> <td>28        </td> <td>0.0291667  </td> <td>1.03004    </td> <td>1028   </td> <td>10         </td> <td>0.00972763  </td> <td>1.00982     </td> <td>984  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>910               </td> <td>7                     </td> <td>0.00769231             </td> <td>1.00775                </td> <td>149       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>807     </td> <td>18          </td> <td>0.0223048    </td> <td>1.02281      </td> <td>754    </td> <td>10         </td> <td>0.0132626   </td> <td>1.01344     </td> <td>709    </td> <td>1          </td> <td>0.00141044  </td> <td>1.00141     </td> <td>655    </td> <td>6          </td> <td>0.00916031  </td> <td>1.00924     </td> <td>659  </td> <td>2        </td> <td>0.0030349 </td> <td>1.00304   </td> <td>581    </td> <td>8          </td> <td>0.0137694   </td> <td>1.01396     </td> <td>610    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>595    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>474    </td> <td>6          </td> <td>0.0126582   </td> <td>1.01282     </td> <td>418   </td> <td>13        </td> <td>0.0311005  </td> <td>1.0321     </td> <td>429  </td> <td>5        </td> <td>0.011655  </td> <td>1.01179   </td> <td>389            </td> <td>4                  </td> <td>0.0102828           </td> <td>1.01039             </td> <td>396   </td> <td>3         </td> <td>0.00757576 </td> <td>1.00763    </td> <td>371   </td> <td>6         </td> <td>0.0161725  </td> <td>1.01644    </td> <td>375       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>359     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>355    </td> <td>2          </td> <td>0.0056338   </td> <td>1.00567     </td> <td>319       </td> <td>6             </td> <td>0.0188088      </td> <td>1.01917        </td> <td>335                 </td> <td>1                       </td> <td>0.00298507               </td> <td>1.00299                  </td> <td>329    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>278        </td> <td>11             </td> <td>0.0395683       </td> <td>1.0412          </td> <td>273 </td> <td>14      </td> <td>0.0512821 </td> <td>1.05405  </td> <td>283     </td> <td>7           </td> <td>0.024735     </td> <td>1.02536      </td> <td>289         </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>257    </td> <td>2          </td> <td>0.0077821   </td> <td>1.00784     </td> <td>253   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>226                   </td> <td>0                         </td> <td>0                          </td> <td>1                          </td> <td>202  </td> <td>5        </td> <td>0.0247525 </td> <td>1.02538   </td> <td>193   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>190             </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>139     </td> <td>11          </td> <td>0.0791367    </td> <td>1.08594      </td> <td>150    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>150  </td> <td>1        </td> <td>0.00666667</td> <td>1.00671   </td> <td>147       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>141  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>139  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>108   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>111    </td> <td>2          </td> <td>0.018018    </td> <td>1.01835     </td> <td>111      </td> <td>3            </td> <td>0.027027      </td> <td>1.02778       </td> <td>122     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>121 </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>120    </td> <td>1          </td> <td>0.00833333  </td> <td>1.0084      </td> <td>42    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>97     </td> <td>2          </td> <td>0.0206186   </td> <td>1.02105     </td> <td>111       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>111     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>96       </td> <td>3            </td> <td>0.03125       </td> <td>1.03226       </td> <td>99       </td> <td>8            </td> <td>0.0808081     </td> <td>1.08791       </td> <td>93     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>87           </td> <td>3                </td> <td>0.0344828         </td> <td>1.03571           </td> <td>87  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>67        </td> <td>3             </td> <td>0.0447761      </td> <td>1.04688        </td> <td>79       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>75  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>51     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>69     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>68   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>64          </td> <td>1               </td> <td>0.015625         </td> <td>1.01587          </td> <td>44                </td> <td>5                     </td> <td>0.113636               </td> <td>1.12821                </td> <td>58      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>56        </td> <td>1             </td> <td>0.0178571      </td> <td>1.01818        </td> <td>56      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>53                      </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>39        </td> <td>2             </td> <td>0.0512821      </td> <td>1.05405        </td> <td>40    </td> <td>1         </td> <td>0.025      </td> <td>1.02564    </td> <td>37        </td> <td>3             </td> <td>0.0810811      </td> <td>1.08824        </td> <td>53          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>52     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>51               </td> <td>0                    </td> <td>0                     </td> <td>1                     </td> <td>50     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>47                 </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>42   </td> <td>2        </td> <td>0.047619  </td> <td>1.05      </td> <td>46   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>41         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>42        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>37     </td> <td>1          </td> <td>0.027027    </td> <td>1.02778     </td> <td>38   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>38    </td> <td>1         </td> <td>0.0263158  </td> <td>1.02703    </td> <td>31     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>26   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>31    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>24        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>26    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>25      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>28      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>27       </td> <td>1            </td> <td>0.037037      </td> <td>1.03846       </td> <td>26           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>21   </td> <td>2        </td> <td>0.0952381 </td> <td>1.10526   </td> <td>20      </td> <td>1           </td> <td>0.05         </td> <td>1.05263      </td> <td>22         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>19        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>20      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>21      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>18      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>19    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>17    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>15     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>14      </td> <td>1           </td> <td>0.0714286    </td> <td>1.07692      </td> <td>15  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>14                   </td> <td>0                        </td> <td>0                         </td> <td>1                         </td> <td>13              </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>11     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>11       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>9         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>9    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>8                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>7       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>6    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>3      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>2      </td> <td>1          </td> <td>0.5         </td> <td>2           </td> <td>1       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>1             </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan                  </td> <td>nan                  </td> <td>0                    </td> <td>0                        </td> <td>nan                       </td> <td>nan                       </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0                               </td> <td>0                                   </td> <td>nan                                  </td> <td>nan                                  </td> <td>0         </td> <td>0             </td> <td>nan            </td> <td>nan            </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/15/20</td> <td>137415</td> <td>949   </td> <td>0.00690609</td> <td>1.00695</td> <td>75366 </td> <td>1233      </td> <td>0.0163602  </td> <td>1.01663    </td> <td>45138         </td> <td>85                </td> <td>0.00188311         </td> <td>1.00189            </td> <td>36906 </td> <td>579       </td> <td>0.0156885  </td> <td>1.01594    </td> <td>34997</td> <td>13       </td> <td>0.00037146 </td> <td>1.00037   </td> <td>30123 </td> <td>91        </td> <td>0.00302095 </td> <td>1.00303    </td> <td>28413</td> <td>4        </td> <td>0.000140781</td> <td>1.00014   </td> <td>24914</td> <td>605      </td> <td>0.0242835 </td> <td>1.02489   </td> <td>13410</td> <td>199     </td> <td>0.0148397</td> <td>1.01506  </td> <td>12417</td> <td>188     </td> <td>0.0151405</td> <td>1.01537  </td> <td>11753 </td> <td>156       </td> <td>0.0132732  </td> <td>1.01345    </td> <td>9788   </td> <td>1          </td> <td>0.000102166 </td> <td>1.0001      </td> <td>9080   </td> <td>2          </td> <td>0.000220264 </td> <td>1.00022     </td> <td>8857  </td> <td>12        </td> <td>0.00135486 </td> <td>1.00136    </td> <td>7186 </td> <td>117      </td> <td>0.0162817 </td> <td>1.01655   </td> <td>5814    </td> <td>189         </td> <td>0.0325077    </td> <td>1.0336       </td> <td>6155       </td> <td>1              </td> <td>0.00016247      </td> <td>1.00016         </td> <td>5572  </td> <td>27        </td> <td>0.00484566 </td> <td>1.00487    </td> <td>5426    </td> <td>40          </td> <td>0.00737191   </td> <td>1.00743      </td> <td>5419  </td> <td>17        </td> <td>0.00313711 </td> <td>1.00315    </td> <td>5158   </td> <td>28         </td> <td>0.00542846  </td> <td>1.00546     </td> <td>4453        </td> <td>107             </td> <td>0.0240287        </td> <td>1.02462          </td> <td>4644 </td> <td>2        </td> <td>0.000430663</td> <td>1.00043   </td> <td>4067 </td> <td>59       </td> <td>0.014507  </td> <td>1.01472   </td> <td>3797     </td> <td>87           </td> <td>0.0229128     </td> <td>1.02345       </td> <td>3432</td> <td>87      </td> <td>0.0253497</td> <td>1.02601  </td> <td>2457      </td> <td>33            </td> <td>0.013431       </td> <td>1.01361        </td> <td>2325        </td> <td>42              </td> <td>0.0180645        </td> <td>1.0184           </td> <td>2050     </td> <td>82           </td> <td>0.04          </td> <td>1.04167       </td> <td>1942   </td> <td>44         </td> <td>0.0226571   </td> <td>1.02318     </td> <td>1952   </td> <td>21         </td> <td>0.0107582   </td> <td>1.01088     </td> <td>1968       </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>1614       </td> <td>11             </td> <td>0.00681537      </td> <td>1.00686         </td> <td>1748   </td> <td>2          </td> <td>0.00114416  </td> <td>1.00115     </td> <td>1676    </td> <td>8           </td> <td>0.00477327   </td> <td>1.0048       </td> <td>1594  </td> <td>6         </td> <td>0.00376412 </td> <td>1.00378    </td> <td>1444   </td> <td>15         </td> <td>0.0103878   </td> <td>1.0105      </td> <td>1350     </td> <td>48           </td> <td>0.0355556     </td> <td>1.03687       </td> <td>1094       </td> <td>46             </td> <td>0.0420475       </td> <td>1.04389         </td> <td>982   </td> <td>22        </td> <td>0.0224033  </td> <td>1.02292    </td> <td>1040   </td> <td>12         </td> <td>0.0115385   </td> <td>1.01167     </td> <td>984  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>929               </td> <td>19                    </td> <td>0.0204521              </td> <td>1.02088                </td> <td>165       </td> <td>16            </td> <td>0.0969697      </td> <td>1.10738        </td> <td>825     </td> <td>18          </td> <td>0.0218182    </td> <td>1.0223       </td> <td>760    </td> <td>6          </td> <td>0.00789474  </td> <td>1.00796     </td> <td>710    </td> <td>1          </td> <td>0.00140845  </td> <td>1.00141     </td> <td>659    </td> <td>4          </td> <td>0.0060698   </td> <td>1.00611     </td> <td>668  </td> <td>9        </td> <td>0.0134731 </td> <td>1.01366   </td> <td>592    </td> <td>11         </td> <td>0.0185811   </td> <td>1.01893     </td> <td>610    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>595    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>480    </td> <td>6          </td> <td>0.0125      </td> <td>1.01266     </td> <td>429   </td> <td>11        </td> <td>0.025641   </td> <td>1.02632    </td> <td>433  </td> <td>4        </td> <td>0.00923788</td> <td>1.00932   </td> <td>393            </td> <td>4                  </td> <td>0.0101781           </td> <td>1.01028             </td> <td>399   </td> <td>3         </td> <td>0.0075188  </td> <td>1.00758    </td> <td>376   </td> <td>5         </td> <td>0.0132979  </td> <td>1.01348    </td> <td>375       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>359     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>355    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>326       </td> <td>7             </td> <td>0.0214724      </td> <td>1.02194        </td> <td>335                 </td> <td>0                       </td> <td>0                        </td> <td>1                        </td> <td>328    </td> <td>-1         </td> <td>-0.00304878 </td> <td>0.99696     </td> <td>286        </td> <td>8              </td> <td>0.027972        </td> <td>1.02878         </td> <td>281 </td> <td>8       </td> <td>0.0284698 </td> <td>1.0293   </td> <td>289     </td> <td>6           </td> <td>0.0207612    </td> <td>1.0212       </td> <td>291         </td> <td>2               </td> <td>0.00687285       </td> <td>1.00692          </td> <td>259    </td> <td>2          </td> <td>0.00772201  </td> <td>1.00778     </td> <td>253   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>235                   </td> <td>9                         </td> <td>0.0382979                  </td> <td>1.03982                    </td> <td>209  </td> <td>7        </td> <td>0.0334928 </td> <td>1.03465   </td> <td>193   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>192             </td> <td>2                   </td> <td>0.0104167            </td> <td>1.01053              </td> <td>146     </td> <td>7           </td> <td>0.0479452    </td> <td>1.05036      </td> <td>153    </td> <td>3          </td> <td>0.0196078   </td> <td>1.02        </td> <td>151  </td> <td>1        </td> <td>0.00662252</td> <td>1.00667   </td> <td>149       </td> <td>2             </td> <td>0.0134228      </td> <td>1.01361        </td> <td>143  </td> <td>2        </td> <td>0.013986  </td> <td>1.01418   </td> <td>139  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>112   </td> <td>4         </td> <td>0.0357143  </td> <td>1.03704    </td> <td>117    </td> <td>6          </td> <td>0.0512821   </td> <td>1.05405     </td> <td>113      </td> <td>2            </td> <td>0.0176991     </td> <td>1.01802       </td> <td>122     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>121 </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>120    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>42    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>101    </td> <td>4          </td> <td>0.039604    </td> <td>1.04124     </td> <td>111       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>111     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>100      </td> <td>4            </td> <td>0.04          </td> <td>1.04167       </td> <td>99       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>93     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>87           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>87  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>71        </td> <td>4             </td> <td>0.056338       </td> <td>1.0597         </td> <td>79       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>75  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>51     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>69     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>69   </td> <td>1        </td> <td>0.0144928 </td> <td>1.01471   </td> <td>64          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>44                </td> <td>0                     </td> <td>0                      </td> <td>1                      </td> <td>58      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>56        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>56      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>53                      </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>43        </td> <td>4             </td> <td>0.0930233      </td> <td>1.10256        </td> <td>43    </td> <td>3         </td> <td>0.0697674  </td> <td>1.075      </td> <td>40        </td> <td>3             </td> <td>0.075          </td> <td>1.08108        </td> <td>53          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>52     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>51               </td> <td>0                    </td> <td>0                     </td> <td>1                     </td> <td>50     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>47                 </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>43   </td> <td>1        </td> <td>0.0232558 </td> <td>1.02381   </td> <td>46   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>41         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>42        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>38     </td> <td>1          </td> <td>0.0263158   </td> <td>1.02703     </td> <td>39   </td> <td>1        </td> <td>0.025641  </td> <td>1.02632   </td> <td>38    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>31     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>26   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>31    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>24        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>27    </td> <td>1         </td> <td>0.037037   </td> <td>1.03846    </td> <td>25      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>28      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>27       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>26           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>22   </td> <td>1        </td> <td>0.0454545 </td> <td>1.04762   </td> <td>20      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>22         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>19        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>20      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>21      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>18      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>19    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>18    </td> <td>1         </td> <td>0.0555556  </td> <td>1.05882    </td> <td>15     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>14      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>15  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>14                   </td> <td>0                        </td> <td>0                         </td> <td>1                         </td> <td>13              </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>11     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>11       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>9         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>9    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>8                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>7       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>6    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>3      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>2      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>1             </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan                  </td> <td>nan                  </td> <td>0                    </td> <td>0                        </td> <td>nan                       </td> <td>nan                       </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0                               </td> <td>0                                   </td> <td>nan                                  </td> <td>nan                                  </td> <td>0         </td> <td>0             </td> <td>nan            </td> <td>nan            </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/16/20</td> <td>138358</td> <td>943   </td> <td>0.00681565</td> <td>1.00686</td> <td>76688 </td> <td>1322      </td> <td>0.0172387  </td> <td>1.01754    </td> <td>45204         </td> <td>66                </td> <td>0.00146005         </td> <td>1.00146            </td> <td>37574 </td> <td>668       </td> <td>0.0177783  </td> <td>1.0181     </td> <td>35017</td> <td>20       </td> <td>0.000571151</td> <td>1.00057   </td> <td>30141 </td> <td>18        </td> <td>0.000597193</td> <td>1.0006     </td> <td>28416</td> <td>3        </td> <td>0.000105574</td> <td>1.00011   </td> <td>25602</td> <td>688      </td> <td>0.0268729 </td> <td>1.02761   </td> <td>13608</td> <td>198     </td> <td>0.0145503</td> <td>1.01477  </td> <td>12615</td> <td>198     </td> <td>0.0156956</td> <td>1.01595  </td> <td>11920 </td> <td>167       </td> <td>0.0140101  </td> <td>1.01421    </td> <td>9795   </td> <td>7          </td> <td>0.00071465  </td> <td>1.00072     </td> <td>9087   </td> <td>7          </td> <td>0.000770331 </td> <td>1.00077     </td> <td>8875  </td> <td>18        </td> <td>0.00202817 </td> <td>1.00203    </td> <td>7290 </td> <td>104      </td> <td>0.0142661 </td> <td>1.01447   </td> <td>6029    </td> <td>215         </td> <td>0.035661     </td> <td>1.03698      </td> <td>6156       </td> <td>1              </td> <td>0.000162443     </td> <td>1.00016         </td> <td>5593  </td> <td>21        </td> <td>0.00375469 </td> <td>1.00377    </td> <td>5426    </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>5440  </td> <td>21        </td> <td>0.00386029 </td> <td>1.00388    </td> <td>5207   </td> <td>49         </td> <td>0.00941041  </td> <td>1.0095      </td> <td>4669        </td> <td>216             </td> <td>0.0462626        </td> <td>1.04851          </td> <td>4644 </td> <td>0        </td> <td>0          </td> <td>1         </td> <td>4120 </td> <td>53       </td> <td>0.0128641 </td> <td>1.01303   </td> <td>3873     </td> <td>76           </td> <td>0.019623      </td> <td>1.02002       </td> <td>3522</td> <td>90      </td> <td>0.0255537</td> <td>1.02622  </td> <td>2496      </td> <td>39            </td> <td>0.015625       </td> <td>1.01587        </td> <td>2370        </td> <td>45              </td> <td>0.0189873        </td> <td>1.01935          </td> <td>2112     </td> <td>62           </td> <td>0.0293561     </td> <td>1.03024       </td> <td>1984   </td> <td>42         </td> <td>0.0211694   </td> <td>1.02163     </td> <td>1971   </td> <td>19         </td> <td>0.00963978  </td> <td>1.00973     </td> <td>1969       </td> <td>1              </td> <td>0.000507872     </td> <td>1.00051         </td> <td>1643       </td> <td>29             </td> <td>0.0176506       </td> <td>1.01797         </td> <td>1749   </td> <td>1          </td> <td>0.000571755 </td> <td>1.00057     </td> <td>1679    </td> <td>3           </td> <td>0.00178678   </td> <td>1.00179      </td> <td>1605  </td> <td>11        </td> <td>0.00685358 </td> <td>1.0069     </td> <td>1462   </td> <td>18         </td> <td>0.0123119   </td> <td>1.01247     </td> <td>1404     </td> <td>54           </td> <td>0.0384615     </td> <td>1.04          </td> <td>1113       </td> <td>19             </td> <td>0.017071        </td> <td>1.01737         </td> <td>1000  </td> <td>18        </td> <td>0.018      </td> <td>1.01833    </td> <td>1052   </td> <td>12         </td> <td>0.0114068   </td> <td>1.01154     </td> <td>985  </td> <td>1        </td> <td>0.00101523</td> <td>1.00102   </td> <td>941               </td> <td>12                    </td> <td>0.0127524              </td> <td>1.01292                </td> <td>167       </td> <td>2             </td> <td>0.011976       </td> <td>1.01212        </td> <td>835     </td> <td>10          </td> <td>0.011976     </td> <td>1.01212      </td> <td>769    </td> <td>9          </td> <td>0.0117035   </td> <td>1.01184     </td> <td>711    </td> <td>1          </td> <td>0.00140647  </td> <td>1.00141     </td> <td>666    </td> <td>7          </td> <td>0.0105105   </td> <td>1.01062     </td> <td>668  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>607    </td> <td>15         </td> <td>0.0247117   </td> <td>1.02534     </td> <td>610    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>595    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>485    </td> <td>5          </td> <td>0.0103093   </td> <td>1.01042     </td> <td>442   </td> <td>13        </td> <td>0.0294118  </td> <td>1.0303     </td> <td>438  </td> <td>5        </td> <td>0.0114155 </td> <td>1.01155   </td> <td>401            </td> <td>8                  </td> <td>0.0199501           </td> <td>1.02036             </td> <td>402   </td> <td>3         </td> <td>0.00746269 </td> <td>1.00752    </td> <td>384   </td> <td>8         </td> <td>0.0208333  </td> <td>1.02128    </td> <td>375       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>373     </td> <td>14          </td> <td>0.0375335    </td> <td>1.039        </td> <td>355    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>334       </td> <td>8             </td> <td>0.0239521      </td> <td>1.02454        </td> <td>335                 </td> <td>0                       </td> <td>0                        </td> <td>1                        </td> <td>328    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>298        </td> <td>12             </td> <td>0.0402685       </td> <td>1.04196         </td> <td>290 </td> <td>9       </td> <td>0.0310345 </td> <td>1.03203  </td> <td>293     </td> <td>4           </td> <td>0.0136519    </td> <td>1.01384      </td> <td>293         </td> <td>2               </td> <td>0.00682594       </td> <td>1.00687          </td> <td>263    </td> <td>4          </td> <td>0.0152091   </td> <td>1.01544     </td> <td>254   </td> <td>1         </td> <td>0.00393701 </td> <td>1.00395    </td> <td>240                   </td> <td>5                         </td> <td>0.0208333                  </td> <td>1.02128                    </td> <td>217  </td> <td>8        </td> <td>0.0368664 </td> <td>1.03828   </td> <td>193   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>193             </td> <td>1                   </td> <td>0.00518135           </td> <td>1.00521              </td> <td>148     </td> <td>2           </td> <td>0.0135135    </td> <td>1.0137       </td> <td>156    </td> <td>3          </td> <td>0.0192308   </td> <td>1.01961     </td> <td>152  </td> <td>1        </td> <td>0.00657895</td> <td>1.00662   </td> <td>150       </td> <td>1             </td> <td>0.00666667     </td> <td>1.00671        </td> <td>145  </td> <td>2        </td> <td>0.0137931 </td> <td>1.01399   </td> <td>139  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>112   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>121    </td> <td>4          </td> <td>0.0330579   </td> <td>1.03419     </td> <td>116      </td> <td>3            </td> <td>0.0258621     </td> <td>1.02655       </td> <td>122     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>121 </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>120    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>42    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>104    </td> <td>3          </td> <td>0.0288462   </td> <td>1.0297      </td> <td>111       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>111     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>104      </td> <td>4            </td> <td>0.0384615     </td> <td>1.04          </td> <td>99       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>93     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>87           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>87  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>75        </td> <td>4             </td> <td>0.0533333      </td> <td>1.05634        </td> <td>79       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>75  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>68     </td> <td>17         </td> <td>0.25        </td> <td>1.33333     </td> <td>69     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>69   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>64          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>51                </td> <td>7                     </td> <td>0.137255               </td> <td>1.15909                </td> <td>58      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>56        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>56      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>53                      </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>53        </td> <td>10            </td> <td>0.188679       </td> <td>1.23256        </td> <td>51    </td> <td>8         </td> <td>0.156863   </td> <td>1.18605    </td> <td>42        </td> <td>2             </td> <td>0.047619       </td> <td>1.05           </td> <td>53          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>52     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>51               </td> <td>0                    </td> <td>0                     </td> <td>1                     </td> <td>50     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>48                 </td> <td>1                      </td> <td>0.0208333               </td> <td>1.02128                 </td> <td>46   </td> <td>3        </td> <td>0.0652174 </td> <td>1.06977   </td> <td>46   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>41         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>42        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>40     </td> <td>2          </td> <td>0.05        </td> <td>1.05263     </td> <td>39   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>39    </td> <td>1         </td> <td>0.025641   </td> <td>1.02632    </td> <td>32     </td> <td>1          </td> <td>0.03125     </td> <td>1.03226     </td> <td>28   </td> <td>2        </td> <td>0.0714286 </td> <td>1.07692   </td> <td>31    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>24        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>28    </td> <td>1         </td> <td>0.0357143  </td> <td>1.03704    </td> <td>27      </td> <td>2           </td> <td>0.0740741    </td> <td>1.08         </td> <td>28      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>27       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>26           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>22   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>23      </td> <td>3           </td> <td>0.130435     </td> <td>1.15         </td> <td>22         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>19        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>21      </td> <td>1           </td> <td>0.047619     </td> <td>1.05         </td> <td>21      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>18      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>19    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>19    </td> <td>1         </td> <td>0.0526316  </td> <td>1.05556    </td> <td>15     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>15      </td> <td>1           </td> <td>0.0666667    </td> <td>1.07143      </td> <td>15  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>14                   </td> <td>0                        </td> <td>0                         </td> <td>1                         </td> <td>13              </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>11     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>11       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>9         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>9    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>8                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>7       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>6    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>3      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>2      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>1             </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan                  </td> <td>nan                  </td> <td>0                    </td> <td>0                        </td> <td>nan                       </td> <td>nan                       </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0                               </td> <td>0                                   </td> <td>nan                                  </td> <td>nan                                  </td> <td>0         </td> <td>0             </td> <td>nan            </td> <td>nan            </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/17/20</td> <td>139266</td> <td>908   </td> <td>0.0065199 </td> <td>1.00656</td> <td>77851 </td> <td>1163      </td> <td>0.0149388  </td> <td>1.01517    </td> <td>45318         </td> <td>114               </td> <td>0.00251556         </td> <td>1.00252            </td> <td>38310 </td> <td>736       </td> <td>0.0192117  </td> <td>1.01959    </td> <td>35028</td> <td>11       </td> <td>0.000314034</td> <td>1.00031   </td> <td>30155 </td> <td>14        </td> <td>0.000464268</td> <td>1.00046    </td> <td>28420</td> <td>4        </td> <td>0.000140746</td> <td>1.00014   </td> <td>26273</td> <td>671      </td> <td>0.0255395 </td> <td>1.02621   </td> <td>13791</td> <td>183     </td> <td>0.0132695</td> <td>1.01345  </td> <td>12799</td> <td>184     </td> <td>0.0143761</td> <td>1.01459  </td> <td>12106 </td> <td>186       </td> <td>0.0153643  </td> <td>1.0156     </td> <td>9800   </td> <td>5          </td> <td>0.000510204 </td> <td>1.00051     </td> <td>9088   </td> <td>1          </td> <td>0.000110035 </td> <td>1.00011     </td> <td>8884  </td> <td>9         </td> <td>0.00101306 </td> <td>1.00101    </td> <td>8347 </td> <td>1057     </td> <td>0.126632  </td> <td>1.14499   </td> <td>6288    </td> <td>259         </td> <td>0.0411896    </td> <td>1.04296      </td> <td>6157       </td> <td>1              </td> <td>0.000162417     </td> <td>1.00016         </td> <td>5619  </td> <td>26        </td> <td>0.00462716 </td> <td>1.00465    </td> <td>5522    </td> <td>96          </td> <td>0.017385     </td> <td>1.01769      </td> <td>5458  </td> <td>18        </td> <td>0.00329791 </td> <td>1.00331    </td> <td>5250   </td> <td>43         </td> <td>0.00819048  </td> <td>1.00826     </td> <td>4804        </td> <td>135             </td> <td>0.0281016        </td> <td>1.02891          </td> <td>4644 </td> <td>0        </td> <td>0          </td> <td>1         </td> <td>4188 </td> <td>68       </td> <td>0.0162369 </td> <td>1.0165    </td> <td>3957     </td> <td>84           </td> <td>0.0212282     </td> <td>1.02169       </td> <td>3616</td> <td>94      </td> <td>0.0259956</td> <td>1.02669  </td> <td>2547      </td> <td>51            </td> <td>0.0200236      </td> <td>1.02043        </td> <td>2407        </td> <td>37              </td> <td>0.0153718        </td> <td>1.01561          </td> <td>2178     </td> <td>66           </td> <td>0.030303      </td> <td>1.03125       </td> <td>2049   </td> <td>65         </td> <td>0.0317228   </td> <td>1.03276     </td> <td>1988   </td> <td>17         </td> <td>0.00855131  </td> <td>1.00863     </td> <td>1969       </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>1660       </td> <td>17             </td> <td>0.010241        </td> <td>1.01035         </td> <td>1752   </td> <td>3          </td> <td>0.00171233  </td> <td>1.00172     </td> <td>1682    </td> <td>3           </td> <td>0.00178359   </td> <td>1.00179      </td> <td>1612  </td> <td>7         </td> <td>0.00434243 </td> <td>1.00436    </td> <td>1473   </td> <td>11         </td> <td>0.00746775  </td> <td>1.00752     </td> <td>1443     </td> <td>39           </td> <td>0.027027      </td> <td>1.02778       </td> <td>1147       </td> <td>34             </td> <td>0.0296425       </td> <td>1.03055         </td> <td>1038  </td> <td>38        </td> <td>0.0366089  </td> <td>1.038      </td> <td>1057   </td> <td>5          </td> <td>0.00473037  </td> <td>1.00475     </td> <td>985  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>942               </td> <td>1                     </td> <td>0.00106157             </td> <td>1.00106                </td> <td>173       </td> <td>6             </td> <td>0.0346821      </td> <td>1.03593        </td> <td>857     </td> <td>22          </td> <td>0.0256709    </td> <td>1.02635      </td> <td>772    </td> <td>3          </td> <td>0.00388601  </td> <td>1.0039      </td> <td>711    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>675    </td> <td>9          </td> <td>0.0133333   </td> <td>1.01351     </td> <td>668  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>620    </td> <td>13         </td> <td>0.0209677   </td> <td>1.02142     </td> <td>611    </td> <td>1          </td> <td>0.00163666  </td> <td>1.00164     </td> <td>595    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>491    </td> <td>6          </td> <td>0.01222     </td> <td>1.01237     </td> <td>452   </td> <td>10        </td> <td>0.0221239  </td> <td>1.02262    </td> <td>440  </td> <td>2        </td> <td>0.00454545</td> <td>1.00457   </td> <td>406            </td> <td>5                  </td> <td>0.0123153           </td> <td>1.01247             </td> <td>404   </td> <td>2         </td> <td>0.0049505  </td> <td>1.00498    </td> <td>392   </td> <td>8         </td> <td>0.0204082  </td> <td>1.02083    </td> <td>375       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>373     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>358    </td> <td>3          </td> <td>0.00837989  </td> <td>1.00845     </td> <td>341       </td> <td>7             </td> <td>0.0205279      </td> <td>1.02096        </td> <td>337                 </td> <td>2                       </td> <td>0.00593472               </td> <td>1.00597                  </td> <td>328    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>309        </td> <td>11             </td> <td>0.0355987       </td> <td>1.03691         </td> <td>298 </td> <td>8       </td> <td>0.0268456 </td> <td>1.02759  </td> <td>297     </td> <td>4           </td> <td>0.013468     </td> <td>1.01365      </td> <td>294         </td> <td>1               </td> <td>0.00340136       </td> <td>1.00341          </td> <td>264    </td> <td>1          </td> <td>0.00378788  </td> <td>1.0038      </td> <td>255   </td> <td>1         </td> <td>0.00392157 </td> <td>1.00394    </td> <td>245                   </td> <td>5                         </td> <td>0.0204082                  </td> <td>1.02083                    </td> <td>222  </td> <td>5        </td> <td>0.0225225 </td> <td>1.02304   </td> <td>194   </td> <td>1         </td> <td>0.00515464 </td> <td>1.00518    </td> <td>193             </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>150     </td> <td>2           </td> <td>0.0133333    </td> <td>1.01351      </td> <td>160    </td> <td>4          </td> <td>0.025       </td> <td>1.02564     </td> <td>153  </td> <td>1        </td> <td>0.00653595</td> <td>1.00658   </td> <td>151       </td> <td>1             </td> <td>0.00662252     </td> <td>1.00667        </td> <td>146  </td> <td>1        </td> <td>0.00684932</td> <td>1.0069    </td> <td>144  </td> <td>5        </td> <td>0.0347222 </td> <td>1.03597   </td> <td>124   </td> <td>12        </td> <td>0.0967742  </td> <td>1.10714    </td> <td>124    </td> <td>3          </td> <td>0.0241935   </td> <td>1.02479     </td> <td>118      </td> <td>2            </td> <td>0.0169492     </td> <td>1.01724       </td> <td>122     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>121 </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>120    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>109   </td> <td>67        </td> <td>0.614679   </td> <td>2.59524    </td> <td>107    </td> <td>3          </td> <td>0.0280374   </td> <td>1.02885     </td> <td>111       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>111     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>107      </td> <td>3            </td> <td>0.0280374     </td> <td>1.02885       </td> <td>99       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>93     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>87           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>87  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>79        </td> <td>4             </td> <td>0.0506329      </td> <td>1.05333        </td> <td>79       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>75  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>69     </td> <td>1          </td> <td>0.0144928   </td> <td>1.01471     </td> <td>69     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>69   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>65          </td> <td>1               </td> <td>0.0153846        </td> <td>1.01562          </td> <td>53                </td> <td>2                     </td> <td>0.0377358              </td> <td>1.03922                </td> <td>58      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>56        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>56      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>53                      </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>54        </td> <td>1             </td> <td>0.0185185      </td> <td>1.01887        </td> <td>55    </td> <td>4         </td> <td>0.0727273  </td> <td>1.07843    </td> <td>47        </td> <td>5             </td> <td>0.106383       </td> <td>1.11905        </td> <td>53          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>52     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>51               </td> <td>0                    </td> <td>0                     </td> <td>1                     </td> <td>50     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>49                 </td> <td>1                      </td> <td>0.0204082               </td> <td>1.02083                 </td> <td>47   </td> <td>1        </td> <td>0.0212766 </td> <td>1.02174   </td> <td>46   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>43         </td> <td>2              </td> <td>0.0465116       </td> <td>1.04878         </td> <td>42        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>40     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>40   </td> <td>1        </td> <td>0.025     </td> <td>1.02564   </td> <td>39    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>32     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>31   </td> <td>3        </td> <td>0.0967742 </td> <td>1.10714   </td> <td>31    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>26        </td> <td>2             </td> <td>0.0769231      </td> <td>1.08333        </td> <td>29    </td> <td>1         </td> <td>0.0344828  </td> <td>1.03571    </td> <td>28      </td> <td>1           </td> <td>0.0357143    </td> <td>1.03704      </td> <td>28      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>27       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>26           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>25   </td> <td>3        </td> <td>0.12      </td> <td>1.13636   </td> <td>24      </td> <td>1           </td> <td>0.0416667    </td> <td>1.04348      </td> <td>22         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>19        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>21      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>21      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>19      </td> <td>1           </td> <td>0.0526316    </td> <td>1.05556      </td> <td>19    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>19    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>15     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>15      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>15  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>14                   </td> <td>0                        </td> <td>0                         </td> <td>1                         </td> <td>13              </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>11     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>11       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>9         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>9    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>8                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>7       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>6    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>6      </td> <td>3          </td> <td>0.5         </td> <td>2           </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>2      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>1             </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan                  </td> <td>nan                  </td> <td>0                    </td> <td>0                        </td> <td>nan                       </td> <td>nan                       </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0                               </td> <td>0                                   </td> <td>nan                                  </td> <td>nan                                  </td> <td>0         </td> <td>0             </td> <td>nan            </td> <td>nan            </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/18/20</td> <td>140119</td> <td>853   </td> <td>0.00608768</td> <td>1.00612</td> <td>78772 </td> <td>921       </td> <td>0.011692   </td> <td>1.01183    </td> <td>45358         </td> <td>40                </td> <td>0.000881873        </td> <td>1.00088            </td> <td>38888 </td> <td>578       </td> <td>0.0148632  </td> <td>1.01509    </td> <td>35042</td> <td>14       </td> <td>0.000399521</td> <td>1.0004    </td> <td>30155 </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>28420</td> <td>0        </td> <td>0          </td> <td>1         </td> <td>26816</td> <td>543      </td> <td>0.0202491 </td> <td>1.02067   </td> <td>13979</td> <td>188     </td> <td>0.0134487</td> <td>1.01363  </td> <td>12998</td> <td>199     </td> <td>0.01531  </td> <td>1.01555  </td> <td>12228 </td> <td>122       </td> <td>0.0099771  </td> <td>1.01008    </td> <td>9800   </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>9091   </td> <td>3          </td> <td>0.000329997 </td> <td>1.00033     </td> <td>8892  </td> <td>8         </td> <td>0.000899685</td> <td>1.0009     </td> <td>8445 </td> <td>98       </td> <td>0.0116045 </td> <td>1.01174   </td> <td>6516    </td> <td>228         </td> <td>0.0349908    </td> <td>1.03626      </td> <td>6155       </td> <td>-2             </td> <td>-0.000324939    </td> <td>0.999675        </td> <td>5619  </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>5568    </td> <td>46          </td> <td>0.00826149   </td> <td>1.00833      </td> <td>5475  </td> <td>17        </td> <td>0.00310502 </td> <td>1.00311    </td> <td>5282   </td> <td>32         </td> <td>0.00605831  </td> <td>1.0061      </td> <td>4948        </td> <td>144             </td> <td>0.0291027        </td> <td>1.02998          </td> <td>4644 </td> <td>0        </td> <td>0          </td> <td>1         </td> <td>4251 </td> <td>63       </td> <td>0.01482   </td> <td>1.01504   </td> <td>4016     </td> <td>59           </td> <td>0.0146912     </td> <td>1.01491       </td> <td>3691</td> <td>75      </td> <td>0.0203197</td> <td>1.02074  </td> <td>2581      </td> <td>34            </td> <td>0.0131732      </td> <td>1.01335        </td> <td>2447        </td> <td>40              </td> <td>0.0163465        </td> <td>1.01662          </td> <td>2220     </td> <td>42           </td> <td>0.0189189     </td> <td>1.01928       </td> <td>2106   </td> <td>57         </td> <td>0.0270655   </td> <td>1.02782     </td> <td>2009   </td> <td>21         </td> <td>0.010453    </td> <td>1.01056     </td> <td>1969       </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>1773       </td> <td>113            </td> <td>0.0637338       </td> <td>1.06807         </td> <td>1753   </td> <td>1          </td> <td>0.000570451 </td> <td>1.00057     </td> <td>1684    </td> <td>2           </td> <td>0.00118765   </td> <td>1.00119      </td> <td>1618  </td> <td>6         </td> <td>0.00370828 </td> <td>1.00372    </td> <td>1496   </td> <td>23         </td> <td>0.0153743   </td> <td>1.01561     </td> <td>1443     </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>1164       </td> <td>17             </td> <td>0.0146048       </td> <td>1.01482         </td> <td>1071  </td> <td>33        </td> <td>0.0308123  </td> <td>1.03179    </td> <td>1068   </td> <td>11         </td> <td>0.0102996   </td> <td>1.01041     </td> <td>986  </td> <td>1        </td> <td>0.0010142 </td> <td>1.00102   </td> <td>971               </td> <td>29                    </td> <td>0.0298661              </td> <td>1.03079                </td> <td>900       </td> <td>727           </td> <td>0.807778       </td> <td>5.20231        </td> <td>891     </td> <td>34          </td> <td>0.0381594    </td> <td>1.03967      </td> <td>778    </td> <td>6          </td> <td>0.00771208  </td> <td>1.00777     </td> <td>711    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>680    </td> <td>5          </td> <td>0.00735294  </td> <td>1.00741     </td> <td>673  </td> <td>5        </td> <td>0.00742942</td> <td>1.00749   </td> <td>631    </td> <td>11         </td> <td>0.0174326   </td> <td>1.01774     </td> <td>611    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>596    </td> <td>1          </td> <td>0.00167785  </td> <td>1.00168     </td> <td>495    </td> <td>4          </td> <td>0.00808081  </td> <td>1.00815     </td> <td>461   </td> <td>9         </td> <td>0.0195228  </td> <td>1.01991    </td> <td>443  </td> <td>3        </td> <td>0.00677201</td> <td>1.00682   </td> <td>414            </td> <td>8                  </td> <td>0.0193237           </td> <td>1.0197              </td> <td>407   </td> <td>3         </td> <td>0.00737101 </td> <td>1.00743    </td> <td>401   </td> <td>9         </td> <td>0.0224439  </td> <td>1.02296    </td> <td>375       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>373     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>358    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>349       </td> <td>8             </td> <td>0.0229226      </td> <td>1.02346        </td> <td>338                 </td> <td>1                       </td> <td>0.00295858               </td> <td>1.00297                  </td> <td>328    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>324        </td> <td>15             </td> <td>0.0462963       </td> <td>1.04854         </td> <td>308 </td> <td>10      </td> <td>0.0324675 </td> <td>1.03356  </td> <td>299     </td> <td>2           </td> <td>0.00668896   </td> <td>1.00673      </td> <td>295         </td> <td>1               </td> <td>0.00338983       </td> <td>1.0034           </td> <td>269    </td> <td>5          </td> <td>0.0185874   </td> <td>1.01894     </td> <td>255   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>246                   </td> <td>1                         </td> <td>0.00406504                 </td> <td>1.00408                    </td> <td>225  </td> <td>3        </td> <td>0.0133333 </td> <td>1.01351   </td> <td>194   </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>193             </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>163     </td> <td>13          </td> <td>0.0797546    </td> <td>1.08667      </td> <td>163    </td> <td>3          </td> <td>0.0184049   </td> <td>1.01875     </td> <td>154  </td> <td>1        </td> <td>0.00649351</td> <td>1.00654   </td> <td>153       </td> <td>2             </td> <td>0.0130719      </td> <td>1.01325        </td> <td>146  </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>145  </td> <td>1        </td> <td>0.00689655</td> <td>1.00694   </td> <td>130   </td> <td>6         </td> <td>0.0461538  </td> <td>1.04839    </td> <td>124    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>122      </td> <td>4            </td> <td>0.0327869     </td> <td>1.0339        </td> <td>122     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>121 </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>120    </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>120   </td> <td>11        </td> <td>0.0916667  </td> <td>1.10092    </td> <td>111    </td> <td>4          </td> <td>0.036036    </td> <td>1.03738     </td> <td>111       </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>111     </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>110      </td> <td>3            </td> <td>0.0272727     </td> <td>1.02804       </td> <td>99       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>93     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>91           </td> <td>4                </td> <td>0.043956          </td> <td>1.04598           </td> <td>87  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>83        </td> <td>4             </td> <td>0.0481928      </td> <td>1.05063        </td> <td>80       </td> <td>1            </td> <td>0.0125        </td> <td>1.01266       </td> <td>75  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>70     </td> <td>1          </td> <td>0.0142857   </td> <td>1.01449     </td> <td>69     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>69   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>65          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>59                </td> <td>6                     </td> <td>0.101695               </td> <td>1.11321                </td> <td>58      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>57        </td> <td>1             </td> <td>0.0175439      </td> <td>1.01786        </td> <td>56      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>55                      </td> <td>2                           </td> <td>0.0363636                    </td> <td>1.03774                      </td> <td>55        </td> <td>1             </td> <td>0.0181818      </td> <td>1.01852        </td> <td>55    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>54        </td> <td>7             </td> <td>0.12963        </td> <td>1.14894        </td> <td>53          </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>52     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>51               </td> <td>0                    </td> <td>0                     </td> <td>1                     </td> <td>50     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>49                 </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>48   </td> <td>1        </td> <td>0.0208333 </td> <td>1.02128   </td> <td>46   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>43         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>42        </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>40     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>40   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>39    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>33     </td> <td>1          </td> <td>0.030303    </td> <td>1.03125     </td> <td>31   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>31    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>30        </td> <td>4             </td> <td>0.133333       </td> <td>1.15385        </td> <td>29    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>29      </td> <td>1           </td> <td>0.0344828    </td> <td>1.03571      </td> <td>28      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>27       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>26           </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>25   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>25      </td> <td>1           </td> <td>0.04         </td> <td>1.04167      </td> <td>22         </td> <td>0              </td> <td>0               </td> <td>1               </td> <td>21        </td> <td>2             </td> <td>0.0952381      </td> <td>1.10526        </td> <td>21      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>21      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>20      </td> <td>1           </td> <td>0.05         </td> <td>1.05263      </td> <td>19    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>19    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>15     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>15      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>15  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>14                   </td> <td>0                        </td> <td>0                         </td> <td>1                         </td> <td>13              </td> <td>0                   </td> <td>0                    </td> <td>1                    </td> <td>11     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>11    </td> <td>1         </td> <td>0.0909091  </td> <td>1.1        </td> <td>11       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>10       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>10        </td> <td>1             </td> <td>0.1            </td> <td>1.11111        </td> <td>9    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>8                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>7       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>7      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>6    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>6      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>5     </td> <td>1         </td> <td>0.2        </td> <td>1.25       </td> <td>4     </td> <td>1         </td> <td>0.25       </td> <td>1.33333    </td> <td>4     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3                  </td> <td>0                      </td> <td>0                       </td> <td>1                       </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>2      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>1             </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan      </td> <td>nan      </td> <td>0       </td> <td>0           </td> <td>nan          </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan                  </td> <td>nan                  </td> <td>0                    </td> <td>0                        </td> <td>nan                       </td> <td>nan                       </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0                               </td> <td>0                                   </td> <td>nan                                  </td> <td>nan                                  </td> <td>0         </td> <td>0             </td> <td>nan            </td> <td>nan            </td> <td>0          </td> <td>0              </td> <td>nan             </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "date     | US     | new US | %new US    | rate US | Brazil | new Brazil | %new Brazil | rate Brazil | United Kingdom | new United Kingdom | %new United Kingdom | rate United Kingdom | Mexico | new Mexico | %new Mexico | rate Mexico | Italy | new Italy | %new Italy  | rate Italy | France | new France | %new France | rate France | Spain | new Spain | %new Spain  | rate Spain | India | new India | %new India | rate India | Iran  | new Iran | %new Iran | rate Iran | Peru  | new Peru | %new Peru | rate Peru | Russia | new Russia | %new Russia | rate Russia | Belgium | new Belgium | %new Belgium | rate Belgium | Germany | new Germany | %new Germany | rate Germany | Canada | new Canada | %new Canada | rate Canada | Chile | new Chile | %new Chile | rate Chile | Colombia | new Colombia | %new Colombia | rate Colombia | Netherlands | new Netherlands | %new Netherlands | rate Netherlands | Sweden | new Sweden | %new Sweden | rate Sweden | Pakistan | new Pakistan | %new Pakistan | rate Pakistan | Turkey | new Turkey | %new Turkey | rate Turkey | Ecuador | new Ecuador | %new Ecuador | rate Ecuador | South Africa | new South Africa | %new South Africa | rate South Africa | China | new China | %new China  | rate China | Egypt | new Egypt | %new Egypt | rate Egypt | Indonesia | new Indonesia | %new Indonesia | rate Indonesia | Iraq | new Iraq | %new Iraq | rate Iraq | Bangladesh | new Bangladesh | %new Bangladesh | rate Bangladesh | Saudi Arabia | new Saudi Arabia | %new Saudi Arabia | rate Saudi Arabia | Argentina | new Argentina | %new Argentina | rate Argentina | Bolivia | new Bolivia | %new Bolivia | rate Bolivia | Romania | new Romania | %new Romania | rate Romania | Switzerland | new Switzerland | %new Switzerland | rate Switzerland | Philippines | new Philippines | %new Philippines | rate Philippines | Ireland | new Ireland | %new Ireland | rate Ireland | Portugal | new Portugal | %new Portugal | rate Portugal | Poland | new Poland | %new Poland | rate Poland | Ukraine | new Ukraine | %new Ukraine | rate Ukraine | Guatemala | new Guatemala | %new Guatemala | rate Guatemala | Afghanistan | new Afghanistan | %new Afghanistan | rate Afghanistan | Panama | new Panama | %new Panama | rate Panama | Algeria | new Algeria | %new Algeria | rate Algeria | Japan | new Japan | %new Japan | rate Japan | Dominican Republic | new Dominican Republic | %new Dominican Republic | rate Dominican Republic | Kyrgyzstan | new Kyrgyzstan | %new Kyrgyzstan | rate Kyrgyzstan | Honduras | new Honduras | %new Honduras | rate Honduras | Nigeria | new Nigeria | %new Nigeria | rate Nigeria | Austria | new Austria | %new Austria | rate Austria | Moldova | new Moldova | %new Moldova | rate Moldova | Sudan | new Sudan | %new Sudan | rate Sudan | Armenia | new Armenia | %new Armenia | rate Armenia | Denmark | new Denmark | %new Denmark | rate Denmark | Hungary | new Hungary | %new Hungary | rate Hungary | Belarus | new Belarus | %new Belarus | rate Belarus | Serbia | new Serbia | %new Serbia | rate Serbia | Yemen | new Yemen | %new Yemen | rate Yemen | North Macedonia | new North Macedonia | %new North Macedonia | rate North Macedonia | Kuwait | new Kuwait | %new Kuwait | rate Kuwait | Israel | new Israel | %new Israel | rate Israel | Kazakhstan | new Kazakhstan | %new Kazakhstan | rate Kazakhstan | Cameroon | new Cameroon | %new Cameroon | rate Cameroon | Czechia | new Czechia | %new Czechia | rate Czechia | Azerbaijan | new Azerbaijan | %new Azerbaijan | rate Azerbaijan | United Arab Emirates | new United Arab Emirates | %new United Arab Emirates | rate United Arab Emirates | Finland | new Finland | %new Finland | rate Finland | El Salvador | new El Salvador | %new El Salvador | rate El Salvador | Oman | new Oman | %new Oman  | rate Oman | Bulgaria | new Bulgaria | %new Bulgaria | rate Bulgaria | Korea, South | new Korea, South | %new Korea, South | rate Korea, South | Morocco | new Morocco | %new Morocco | rate Morocco | Norway | new Norway | %new Norway | rate Norway | Bosnia and Herzegovina | new Bosnia and Herzegovina | %new Bosnia and Herzegovina | rate Bosnia and Herzegovina | Kenya | new Kenya | %new Kenya | rate Kenya | Greece | new Greece | %new Greece | rate Greece | Congo (Kinshasa) | new Congo (Kinshasa) | %new Congo (Kinshasa) | rate Congo (Kinshasa) | Ethiopia | new Ethiopia | %new Ethiopia | rate Ethiopia | Senegal | new Senegal | %new Senegal | rate Senegal | Qatar | new Qatar | %new Qatar | rate Qatar | Mauritania | new Mauritania | %new Mauritania | rate Mauritania | Haiti | new Haiti | %new Haiti | rate Haiti | Ghana | new Ghana | %new Ghana | rate Ghana | Kosovo | new Kosovo | %new Kosovo | rate Kosovo | Bahrain | new Bahrain | %new Bahrain | rate Bahrain | Australia | new Australia | %new Australia | rate Australia | Malaysia | new Malaysia | %new Malaysia | rate Malaysia | Mali | new Mali | %new Mali | rate Mali | Croatia | new Croatia | %new Croatia | rate Croatia | Zambia | new Zambia | %new Zambia | rate Zambia | Albania | new Albania | %new Albania | rate Albania | Luxembourg | new Luxembourg | %new Luxembourg | rate Luxembourg | Slovenia | new Slovenia | %new Slovenia | rate Slovenia | Venezuela | new Venezuela | %new Venezuela | rate Venezuela | Nicaragua | new Nicaragua | %new Nicaragua | rate Nicaragua | Somalia | new Somalia | %new Somalia | rate Somalia | Cote d'Ivoire | new Cote d'Ivoire | %new Cote d'Ivoire | rate Cote d'Ivoire | Cuba | new Cuba | %new Cuba | rate Cuba | Uzbekistan | new Uzbekistan | %new Uzbekistan | rate Uzbekistan | Lithuania | new Lithuania | %new Lithuania | rate Lithuania | Chad | new Chad | %new Chad | rate Chad | Liberia | new Liberia | %new Liberia | rate Liberia | Estonia | new Estonia | %new Estonia | rate Estonia | Niger | new Niger | %new Niger | rate Niger | Sierra Leone | new Sierra Leone | %new Sierra Leone | rate Sierra Leone | West Bank and Gaza | new West Bank and Gaza | %new West Bank and Gaza | rate West Bank and Gaza | Thailand | new Thailand | %new Thailand | rate Thailand | Tajikistan | new Tajikistan | %new Tajikistan | rate Tajikistan | Djibouti | new Djibouti | %new Djibouti | rate Djibouti | Central African Republic | new Central African Republic | %new Central African Republic | rate Central African Republic | Madagascar | new Madagascar | %new Madagascar | rate Madagascar | Malawi | new Malawi | %new Malawi | rate Malawi | Costa Rica | new Costa Rica | %new Costa Rica | rate Costa Rica | Burkina Faso | new Burkina Faso | %new Burkina Faso | rate Burkina Faso | Andorra | new Andorra | %new Andorra | rate Andorra | Equatorial Guinea | new Equatorial Guinea | %new Equatorial Guinea | rate Equatorial Guinea | Tunisia | new Tunisia | %new Tunisia | rate Tunisia | Congo (Brazzaville) | new Congo (Brazzaville) | %new Congo (Brazzaville) | rate Congo (Brazzaville) | Libya | new Libya | %new Libya | rate Libya | Gabon | new Gabon | %new Gabon | rate Gabon | South Sudan | new South Sudan | %new South Sudan | rate South Sudan | San Marino | new San Marino | %new San Marino | rate San Marino | Lebanon | new Lebanon | %new Lebanon | rate Lebanon | Nepal | new Nepal | %new Nepal | rate Nepal | Guinea | new Guinea | %new Guinea | rate Guinea | Uruguay | new Uruguay | %new Uruguay | rate Uruguay | Benin | new Benin | %new Benin | rate Benin | Latvia | new Latvia | %new Latvia | rate Latvia | Montenegro | new Montenegro | %new Montenegro | rate Montenegro | Angola | new Angola | %new Angola | rate Angola | Paraguay | new Paraguay | %new Paraguay | rate Paraguay | Slovakia | new Slovakia | %new Slovakia | rate Slovakia | Singapore | new Singapore | %new Singapore | rate Singapore | Guinea-Bissau | new Guinea-Bissau | %new Guinea-Bissau | rate Guinea-Bissau | Syria | new Syria | %new Syria | rate Syria | Zimbabwe | new Zimbabwe | %new Zimbabwe | rate Zimbabwe | New Zealand | new New Zealand | %new New Zealand | rate New Zealand | Cabo Verde | new Cabo Verde | %new Cabo Verde | rate Cabo Verde | Eswatini | new Eswatini | %new Eswatini | rate Eswatini | Tanzania | new Tanzania | %new Tanzania | rate Tanzania | Suriname | new Suriname | %new Suriname | rate Suriname | Cyprus | new Cyprus | %new Cyprus | rate Cyprus | Guyana | new Guyana | %new Guyana | rate Guyana | Georgia | new Georgia | %new Georgia | rate Georgia | Maldives | new Maldives | %new Maldives | rate Maldives | Togo | new Togo | %new Togo | rate Togo | Sao Tome and Principe | new Sao Tome and Principe | %new Sao Tome and Principe | rate Sao Tome and Principe | Diamond Princess | new Diamond Princess | %new Diamond Princess | rate Diamond Princess | Bahamas | new Bahamas | %new Bahamas | rate Bahamas | Jordan | new Jordan | %new Jordan | rate Jordan | Sri Lanka | new Sri Lanka | %new Sri Lanka | rate Sri Lanka | Iceland | new Iceland | %new Iceland | rate Iceland | Jamaica | new Jamaica | %new Jamaica | rate Jamaica | Mauritius | new Mauritius | %new Mauritius | rate Mauritius | Mozambique | new Mozambique | %new Mozambique | rate Mozambique | Malta | new Malta | %new Malta | rate Malta | Trinidad and Tobago | new Trinidad and Tobago | %new Trinidad and Tobago | rate Trinidad and Tobago | Barbados | new Barbados | %new Barbados | rate Barbados | Comoros | new Comoros | %new Comoros | rate Comoros | Taiwan* | new Taiwan* | %new Taiwan* | rate Taiwan* | Burma | new Burma | %new Burma | rate Burma | Lesotho | new Lesotho | %new Lesotho | rate Lesotho | Rwanda | new Rwanda | %new Rwanda | rate Rwanda | Gambia | new Gambia | %new Gambia | rate Gambia | Monaco | new Monaco | %new Monaco | rate Monaco | Antigua and Barbuda | new Antigua and Barbuda | %new Antigua and Barbuda | rate Antigua and Barbuda | Brunei | new Brunei | %new Brunei | rate Brunei | Belize | new Belize | %new Belize | rate Belize | MS Zaandam | new MS Zaandam | %new MS Zaandam | rate MS Zaandam | Namibia | new Namibia | %new Namibia | rate Namibia | Botswana | new Botswana | %new Botswana | rate Botswana | Burundi | new Burundi | %new Burundi | rate Burundi | Liechtenstein | new Liechtenstein | %new Liechtenstein | rate Liechtenstein | Western Sahara | new Western Sahara | %new Western Sahara | rate Western Sahara | Bhutan | new Bhutan | %new Bhutan | rate Bhutan | Cambodia | new Cambodia | %new Cambodia | rate Cambodia | Dominica | new Dominica | %new Dominica | rate Dominica | Eritrea | new Eritrea | %new Eritrea | rate Eritrea | Fiji | new Fiji | %new Fiji | rate Fiji | Grenada | new Grenada | %new Grenada | rate Grenada | Holy See | new Holy See | %new Holy See | rate Holy See | Laos | new Laos | %new Laos | rate Laos | Mongolia | new Mongolia | %new Mongolia | rate Mongolia | Papua New Guinea | new Papua New Guinea | %new Papua New Guinea | rate Papua New Guinea | Saint Kitts and Nevis | new Saint Kitts and Nevis | %new Saint Kitts and Nevis | rate Saint Kitts and Nevis | Saint Lucia | new Saint Lucia | %new Saint Lucia | rate Saint Lucia | Saint Vincent and the Grenadines | new Saint Vincent and the Grenadines | %new Saint Vincent and the Grenadines | rate Saint Vincent and the Grenadines | Seychelles | new Seychelles | %new Seychelles | rate Seychelles | Timor-Leste | new Timor-Leste | %new Timor-Leste | rate Timor-Leste | Uganda | new Uganda | %new Uganda | rate Uganda | Vietnam | new Vietnam | %new Vietnam | rate Vietnam\n",
       "07/11/20 | 134777 | 676    | 0.00501569 | 1.00504 | 71469  | 1071       | 0.0149855   | 1.01521     | 44883          | 148                | 0.00329746          | 1.00331             | 34730  | 539        | 0.0155197   | 1.01576     | 34945 | 7         | 0.000200315 | 1.0002     | 30007  | 0          | 0           | 1           | 28403 | 0         | 0           | 1          | 22673 | 550       | 0.0242579  | 1.02486    | 12635 | 188      | 0.0148793 | 1.0151    | 11682 | 182      | 0.0155795 | 1.01583   | 11188  | 188        | 0.0168037   | 1.01709     | 9782    | 1           | 0.000102229  | 1.0001       | 9070    | 7           | 0.000771775  | 1.00077      | 8818   | 7          | 0.000793831 | 1.00079     | 6881  | 100       | 0.0145328  | 1.01475    | 5119     | 194          | 0.037898      | 1.03939       | 6156        | 1               | 0.000162443      | 1.00016          | 5526   | 0          | 0           | 1           | 5197     | 74           | 0.014239      | 1.01444       | 5344   | 21         | 0.00392964  | 1.00395     | 5031    | 92          | 0.0182866    | 1.01863      | 3971         | 111              | 0.0279527         | 1.02876           | 4641  | 0         | 0           | 1          | 3769  | 67        | 0.0177766  | 1.0181     | 3535      | 66            | 0.0186704      | 1.01903        | 3055 | 95       | 0.0310966 | 1.03209   | 2305       | 30             | 0.0130152       | 1.01319         | 2181         | 30               | 0.0137552         | 1.01395           | 1810      | 36            | 0.0198895      | 1.02029        | 1754    | 52          | 0.0296465    | 1.03055      | 1871    | 24          | 0.0128274    | 1.01299      | 1968        | 2               | 0.00101626       | 1.00102          | 1372        | 12              | 0.00874636       | 1.00882          | 1746    | 2           | 0.00114548   | 1.00115      | 1654     | 8            | 0.00483676    | 1.00486       | 1568   | 6          | 0.00382653  | 1.00384     | 1389    | 27          | 0.0194384    | 1.01982      | 1172      | 33            | 0.028157       | 1.02897        | 994         | 23              | 0.0231388        | 1.02369          | 893    | 30         | 0.0335946   | 1.03476     | 1004    | 8           | 0.00796813   | 1.00803      | 982   | 0         | 0          | 1          | 880                | 16                     | 0.0181818               | 1.01852                 | 129        | 4              | 0.0310078       | 1.032           | 771      | 21           | 0.0272374     | 1.028         | 724     | 15          | 0.0207182    | 1.02116      | 706     | 0           | 0            | 1            | 640     | 5           | 0.0078125    | 1.00787      | 650   | 1         | 0.00153846 | 1.00154    | 559     | 13          | 0.0232558    | 1.02381      | 609     | 0           | 0            | 1            | 595     | 2           | 0.00336134   | 1.00337      | 459     | 5           | 0.0108932    | 1.01101      | 382    | 12         | 0.0314136   | 1.03243     | 365   | 1         | 0.00273973 | 1.00275    | 376             | 8                   | 0.0212766            | 1.02174              | 386    | 3          | 0.00777202  | 1.00783     | 354    | 3          | 0.00847458  | 1.00855     | 264        | 0              | 0               | 1               | 359      | 0            | 0             | 1             | 352     | 0           | 0            | 1            | 298        | 6              | 0.0201342       | 1.02055         | 331                  | 1                        | 0.00302115                | 1.00303                   | 329     | 0           | 0            | 1            | 254         | 5               | 0.019685         | 1.02008          | 248  | 4        | 0.016129   | 1.01639   | 267      | 0            | 0             | 1             | 289          | 1                | 0.00346021        | 1.00347           | 245     | 2           | 0.00816327   | 1.00823      | 252    | 0          | 0           | 1           | 219                    | 3                          | 0.0136986                   | 1.01389                     | 184   | 3         | 0.0163043  | 1.01657    | 193    | 0          | 0           | 1           | 189              | 0                    | 0                     | 1                     | 124      | 0            | 0             | 1             | 145     | 0           | 0            | 1            | 146   | 0         | 0          | 1          | 147        | 1              | 0.00680272      | 1.00685         | 139   | 4         | 0.028777   | 1.02963    | 135   | 0         | 0          | 1          | 101    | 7          | 0.0693069   | 1.07447     | 104     | 0           | 0            | 1            | 108       | 1             | 0.00925926     | 1.00935        | 122      | 1            | 0.00819672    | 1.00826       | 121  | 0        | 0         | 1         | 118     | 1           | 0.00847458   | 1.00855      | 42     | 0          | 0           | 1           | 89      | 4           | 0.0449438    | 1.04706      | 110        | 0              | 0               | 1               | 111      | 0            | 0             | 1             | 85        | 2             | 0.0235294      | 1.0241         | 91        | 0             | 0              | 1              | 92      | 0           | 0            | 1            | 82            | 1                 | 0.0121951          | 1.01235            | 87   | 1        | 0.0114943 | 1.01163   | 57         | 3              | 0.0526316       | 1.05556         | 79        | 0             | 0              | 1              | 74   | 0        | 0         | 1         | 47      | 0           | 0            | 1            | 69      | 0           | 0            | 1            | 68    | 0         | 0          | 1          | 63           | 0                | 0                 | 1                 | 33                 | 6                      | 0.181818                | 1.22222                 | 58       | 0            | 0             | 1             | 55         | 0              | 0               | 1               | 56       | 0            | 0             | 1             | 53                       | 0                            | 0                             | 1                             | 34         | 0              | 0               | 1               | 33     | 2          | 0.0606061   | 1.06452     | 28         | 2              | 0.0714286       | 1.07692         | 53           | 0                | 0                 | 1                 | 52      | 0           | 0            | 1            | 51                | 0                     | 0                      | 1                      | 50      | 0           | 0            | 1            | 47                  | 0                       | 0                        | 1                        | 38    | 0         | 0          | 1          | 46    | 0         | 0          | 1          | 38          | 0               | 0                | 1                | 42         | 0              | 0               | 1               | 36      | 0           | 0            | 1            | 38    | 3         | 0.0789474  | 1.08571    | 37     | 0          | 0           | 1           | 30      | 1           | 0.0333333    | 1.03448      | 26    | 3         | 0.115385   | 1.13043    | 30     | 0          | 0           | 1           | 23         | 4              | 0.173913        | 1.21053         | 23     | 0          | 0           | 1           | 21       | 1            | 0.047619      | 1.05          | 28       | 0            | 0             | 1             | 26        | 0             | 0              | 1              | 26            | 0                 | 0                  | 1                  | 16    | 0         | 0          | 1          | 18       | 5            | 0.277778      | 1.38462       | 22          | 0               | 0                | 1                | 19         | 0              | 0               | 1               | 18       | 0            | 0             | 1             | 21       | 0            | 0             | 1             | 18       | 0            | 0             | 1             | 19     | 0          | 0           | 1           | 17     | 1          | 0.0588235   | 1.0625      | 15      | 0           | 0            | 1            | 13       | 0            | 0             | 1             | 15   | 0        | 0         | 1         | 14                    | 0                         | 0                          | 1                          | 13               | 0                    | 0                     | 1                     | 11      | 0           | 0            | 1            | 10     | 0          | 0           | 1           | 11        | 0             | 0              | 1              | 10      | 0           | 0            | 1            | 10      | 0           | 0            | 1            | 10        | 0             | 0              | 1              | 9          | 0              | 0               | 1               | 9     | 0         | 0          | 1          | 8                   | 0                       | 0                        | 1                        | 7        | 0            | 0             | 1             | 7       | 0           | 0            | 1            | 7       | 0           | 0            | 1            | 6     | 0         | 0          | 1          | 1       | 0           | 0            | 1            | 4      | 1          | 0.25        | 1.33333     | 3      | 0          | 0           | 1           | 4      | 0          | 0           | 1           | 3                   | 0                       | 0                        | 1                        | 3      | 0          | 0           | 1           | 2      | 0          | 0           | 1           | 2          | 0              | 0               | 1               | 1       | 0           | 0            | 1            | 1        | 0            | 0             | 1             | 1       | 0           | 0            | 1            | 1             | 0                 | 0                  | 1                  | 1              | 0                  | 0                   | 1                   | 0      | 0          | nan         | nan         | 0        | 0            | nan           | nan           | 0        | 0            | nan           | nan           | 0       | 0           | nan          | nan          | 0    | 0        | nan       | nan       | 0       | 0           | nan          | nan          | 0        | 0            | nan           | nan           | 0    | 0        | nan       | nan       | 0        | 0            | nan           | nan           | 0                | 0                    | nan                   | nan                   | 0                     | 0                         | nan                        | nan                        | 0           | 0               | nan              | nan              | 0                                | 0                                    | nan                                   | nan                                   | 0          | 0              | nan             | nan             | 0           | 0               | nan              | nan              | 0      | 0          | nan         | nan         | 0       | 0           | nan          | nan\n",
       "07/12/20 | 135205 | 428    | 0.00316556 | 1.00318 | 72100  | 631        | 0.00875173  | 1.00883     | 44904          | 21                 | 0.000467664         | 1.00047             | 35006  | 276        | 0.00788436  | 1.00795     | 34954 | 9         | 0.000257481 | 1.00026    | 30007  | 0          | 0           | 1           | 28403 | 0         | 0           | 1          | 23174 | 501       | 0.0216191  | 1.0221     | 12829 | 194      | 0.015122  | 1.01535   | 11870 | 188      | 0.0158382 | 1.01609   | 11318  | 130        | 0.0114861   | 1.01162     | 9782    | 0           | 0            | 1            | 9071    | 1           | 0.000110241  | 1.00011      | 8829   | 11         | 0.00124589  | 1.00125     | 6979  | 98        | 0.0140421  | 1.01424    | 5307     | 188          | 0.0354249     | 1.03673       | 6156        | 0               | 0                | 1                | 5526   | 0          | 0           | 1           | 5266     | 69           | 0.0131029     | 1.01328       | 5363   | 19         | 0.00354279  | 1.00356     | 5047    | 16          | 0.0031702    | 1.00318      | 4079         | 108              | 0.0264771         | 1.0272            | 4641  | 0         | 0           | 1          | 3858  | 89        | 0.0230689  | 1.02361    | 3606      | 71            | 0.0196894      | 1.02008        | 3150 | 95       | 0.0301587 | 1.0311    | 2352       | 47             | 0.019983        | 1.02039         | 2223         | 42               | 0.0188934         | 1.01926           | 1845      | 35            | 0.0189702      | 1.01934        | 1807    | 53          | 0.0293304    | 1.03022      | 1884    | 13          | 0.00690021   | 1.00695      | 1968        | 0               | 0                | 1                | 1534        | 162             | 0.105606         | 1.11808          | 1746    | 0           | 0            | 1            | 1660     | 6            | 0.00361446    | 1.00363       | 1571   | 3          | 0.00190961  | 1.00191     | 1400    | 11          | 0.00785714   | 1.00792      | 1219      | 47            | 0.0385562      | 1.0401         | 1010        | 16              | 0.0158416        | 1.0161           | 909    | 16         | 0.0176018   | 1.01792     | 1011    | 7           | 0.00692384   | 1.00697      | 983   | 1         | 0.00101729 | 1.00102    | 897                | 17                     | 0.0189521               | 1.01932                 | 147        | 18             | 0.122449        | 1.13953         | 774      | 3            | 0.00387597    | 1.00389       | 740     | 16          | 0.0216216    | 1.0221       | 708     | 2           | 0.00282486   | 1.00283      | 642     | 2           | 0.00311526   | 1.00313      | 650   | 0         | 0          | 1          | 565     | 6           | 0.0106195    | 1.01073      | 609     | 0           | 0            | 1            | 595     | 0           | 0            | 1            | 464     | 5           | 0.0107759    | 1.01089      | 393    | 11         | 0.0279898   | 1.0288      | 417   | 52        | 0.1247     | 1.14247    | 382             | 6                   | 0.0157068            | 1.01596              | 390    | 4          | 0.0102564   | 1.01036     | 362    | 8          | 0.0220994   | 1.0226      | 375        | 111            | 0.296           | 1.42045         | 359      | 0            | 0             | 1             | 352     | 0           | 0            | 1            | 306        | 8              | 0.0261438       | 1.02685         | 333                  | 2                        | 0.00600601                | 1.00604                   | 329     | 0           | 0            | 1            | 260         | 6               | 0.0230769        | 1.02362          | 257  | 9        | 0.0350195  | 1.03629   | 268      | 1            | 0.00373134    | 1.00375       | 289          | 0                | 0                 | 1                 | 250     | 5           | 0.02         | 1.02041      | 252    | 0          | 0           | 1           | 221                    | 2                          | 0.00904977                  | 1.00913                     | 185   | 1         | 0.00540541 | 1.00543    | 193    | 0          | 0           | 1           | 189              | 0                    | 0                     | 1                     | 127      | 3            | 0.023622      | 1.02419       | 148     | 3           | 0.0202703    | 1.02069      | 147   | 1         | 0.00680272 | 1.00685    | 147        | 0              | 0               | 1               | 139   | 0         | 0          | 1          | 139   | 4         | 0.028777   | 1.02963    | 102    | 1          | 0.00980392  | 1.0099      | 108     | 4           | 0.037037     | 1.03846      | 108       | 0             | 0              | 1              | 122      | 0            | 0             | 1             | 121  | 0        | 0         | 1         | 119     | 1           | 0.00840336   | 1.00847      | 42     | 0          | 0           | 1           | 93      | 4           | 0.0430108    | 1.04494      | 111        | 1              | 0.00900901      | 1.00909         | 111      | 0            | 0             | 1             | 89        | 4             | 0.0449438      | 1.04706        | 91        | 0             | 0              | 1              | 93      | 1           | 0.0107527    | 1.01087      | 84            | 2                 | 0.0238095          | 1.02439            | 87   | 0        | 0         | 1         | 60         | 3              | 0.05            | 1.05263         | 79        | 0             | 0              | 1              | 75   | 1        | 0.0133333 | 1.01351   | 51      | 4           | 0.0784314    | 1.08511      | 69      | 0           | 0            | 1            | 68    | 0         | 0          | 1          | 63           | 0                | 0                 | 1                 | 36                 | 3                      | 0.0833333               | 1.09091                 | 58       | 0            | 0             | 1             | 55         | 0              | 0               | 1               | 56       | 0            | 0             | 1             | 53                       | 0                            | 0                             | 1                             | 35         | 1              | 0.0285714       | 1.02941         | 38     | 5          | 0.131579    | 1.15152     | 30         | 2              | 0.0666667       | 1.07143         | 53           | 0                | 0                 | 1                 | 52      | 0           | 0            | 1            | 51                | 0                     | 0                      | 1                      | 50      | 0           | 0            | 1            | 47                  | 0                       | 0                        | 1                        | 39    | 1         | 0.025641   | 1.02632    | 46    | 0         | 0          | 1          | 38          | 0               | 0                | 1                | 42         | 0              | 0               | 1               | 36      | 0           | 0            | 1            | 38    | 0         | 0          | 1          | 37     | 0          | 0           | 1           | 31      | 1           | 0.0322581    | 1.03333      | 26    | 0         | 0          | 1          | 30     | 0          | 0           | 1           | 23         | 0              | 0               | 1               | 26     | 3          | 0.115385    | 1.13043     | 22       | 1            | 0.0454545     | 1.04762       | 28       | 0            | 0             | 1             | 26        | 0             | 0              | 1              | 26            | 0                 | 0                  | 1                  | 16    | 0         | 0          | 1          | 18       | 0            | 0             | 1             | 22          | 0               | 0                | 1                | 19         | 0              | 0               | 1               | 20       | 2            | 0.1           | 1.11111       | 21       | 0            | 0             | 1             | 18       | 0            | 0             | 1             | 19     | 0          | 0           | 1           | 17     | 0          | 0           | 1           | 15      | 0           | 0            | 1            | 13       | 0            | 0             | 1             | 15   | 0        | 0         | 1         | 14                    | 0                         | 0                          | 1                          | 13               | 0                    | 0                     | 1                     | 11      | 0           | 0            | 1            | 10     | 0          | 0           | 1           | 11        | 0             | 0              | 1              | 10      | 0           | 0            | 1            | 10      | 0           | 0            | 1            | 10        | 0             | 0              | 1              | 9          | 0              | 0               | 1               | 9     | 0         | 0          | 1          | 8                   | 0                       | 0                        | 1                        | 7        | 0            | 0             | 1             | 7       | 0           | 0            | 1            | 7       | 0           | 0            | 1            | 6     | 0         | 0          | 1          | 2       | 1           | 0.5          | 2            | 4      | 0          | 0           | 1           | 3      | 0          | 0           | 1           | 4      | 0          | 0           | 1           | 3                   | 0                       | 0                        | 1                        | 3      | 0          | 0           | 1           | 2      | 0          | 0           | 1           | 2          | 0              | 0               | 1               | 1       | 0           | 0            | 1            | 1        | 0            | 0             | 1             | 1       | 0           | 0            | 1            | 1             | 0                 | 0                  | 1                  | 1              | 0                  | 0                   | 1                   | 0      | 0          | nan         | nan         | 0        | 0            | nan           | nan           | 0        | 0            | nan           | nan           | 0       | 0           | nan          | nan          | 0    | 0        | nan       | nan       | 0       | 0           | nan          | nan          | 0        | 0            | nan           | nan           | 0    | 0        | nan       | nan       | 0        | 0            | nan           | nan           | 0                | 0                    | nan                   | nan                   | 0                     | 0                         | nan                        | nan                        | 0           | 0               | nan              | nan              | 0                                | 0                                    | nan                                   | nan                                   | 0          | 0              | nan             | nan             | 0           | 0               | nan              | nan              | 0      | 0          | nan         | nan         | 0       | 0           | nan          | nan\n",
       "07/13/20 | 135566 | 361    | 0.00266291 | 1.00267 | 72833  | 733        | 0.0100641   | 1.01017     | 44915          | 11                 | 0.000244907         | 1.00024             | 35491  | 485        | 0.0136654   | 1.01385     | 34967 | 13        | 0.000371779 | 1.00037    | 30032  | 25         | 0.000832445 | 1.00083     | 28406 | 3         | 0.000105611 | 1.00011    | 23727 | 553       | 0.0233068  | 1.02386    | 13032 | 203      | 0.015577  | 1.01582   | 12054 | 184      | 0.0152646 | 1.0155    | 11422  | 104        | 0.00910524  | 1.00919     | 9782    | 0           | 0            | 1            | 9074    | 3           | 0.000330615  | 1.00033      | 8836   | 7          | 0.000792214 | 1.00079     | 7024  | 45        | 0.00640661 | 1.00645    | 5455     | 148          | 0.0271311     | 1.02789       | 6156        | 0               | 0                | 1                | 5536   | 10         | 0.00180636  | 1.00181     | 5320     | 54           | 0.0101504     | 1.01025       | 5382   | 19         | 0.00353029  | 1.00354     | 5063    | 16          | 0.00316018   | 1.00317      | 4172         | 93               | 0.0222915         | 1.0228            | 4641  | 0         | 0           | 1          | 3935  | 77        | 0.019568   | 1.01996    | 3656      | 50            | 0.0136761      | 1.01387        | 3250 | 100      | 0.0307692 | 1.03175   | 2391       | 39             | 0.0163112       | 1.01658         | 2243         | 20               | 0.00891663        | 1.009             | 1903      | 58            | 0.0304782      | 1.03144        | 1866    | 59          | 0.0316184    | 1.03265      | 1901    | 17          | 0.00894266   | 1.00902      | 1968        | 0               | 0                | 1                | 1599        | 65              | 0.0406504        | 1.04237          | 1746    | 0           | 0            | 1            | 1662     | 2            | 0.00120337    | 1.0012        | 1576   | 5          | 0.00317259  | 1.00318     | 1415    | 15          | 0.0106007    | 1.01071      | 1244      | 25            | 0.0200965      | 1.02051        | 1012        | 2               | 0.00197628       | 1.00198          | 932    | 23         | 0.0246781   | 1.0253      | 1018    | 7           | 0.00687623   | 1.00692      | 984   | 1         | 0.00101626 | 1.00102    | 903                | 6                      | 0.00664452              | 1.00669                 | 149        | 2              | 0.0134228       | 1.01361         | 789      | 15           | 0.0190114     | 1.01938       | 744     | 4           | 0.00537634   | 1.00541      | 708     | 0           | 0            | 1            | 649     | 7           | 0.0107858    | 1.0109       | 657   | 7         | 0.0106545  | 1.01077    | 573     | 8           | 0.0139616    | 1.01416      | 610     | 1           | 0.00163934   | 1.00164      | 595     | 0           | 0            | 1            | 468     | 4           | 0.00854701   | 1.00862      | 405    | 12         | 0.0296296   | 1.03053     | 424   | 7         | 0.0165094  | 1.01679    | 385             | 3                   | 0.00779221           | 1.00785              | 393    | 3          | 0.00763359  | 1.00769     | 365    | 3          | 0.00821918  | 1.00829     | 375        | 0              | 0               | 1               | 359      | 0            | 0             | 1             | 353     | 1           | 0.00283286   | 1.00284      | 313        | 7              | 0.0223642       | 1.02288         | 334                  | 1                        | 0.00299401                | 1.003                     | 329     | 0           | 0            | 1            | 267         | 7               | 0.0262172        | 1.02692          | 259  | 2        | 0.00772201 | 1.00778   | 276      | 8            | 0.0289855     | 1.02985       | 289          | 0                | 0                 | 1                 | 255     | 5           | 0.0196078    | 1.02         | 253    | 1          | 0.00395257  | 1.00397     | 226                    | 5                          | 0.0221239                   | 1.02262                     | 197   | 12        | 0.0609137  | 1.06486    | 193    | 0          | 0           | 1           | 190              | 1                    | 0.00526316            | 1.00529               | 128      | 1            | 0.0078125     | 1.00787       | 150     | 2           | 0.0133333    | 1.01351      | 149   | 2         | 0.0134228  | 1.01361    | 147        | 0              | 0               | 1               | 141   | 2         | 0.0141844  | 1.01439    | 139   | 0         | 0          | 1          | 108    | 6          | 0.0555556   | 1.05882     | 109     | 1           | 0.00917431   | 1.00926      | 108       | 0             | 0              | 1              | 122      | 0            | 0             | 1             | 121  | 0        | 0         | 1         | 119     | 0           | 0            | 1            | 42     | 0          | 0           | 1           | 95      | 2           | 0.0210526    | 1.02151      | 111        | 0              | 0               | 1               | 111      | 0            | 0             | 1             | 93        | 4             | 0.0430108      | 1.04494        | 91        | 0             | 0              | 1              | 93      | 0           | 0            | 1            | 84            | 0                 | 0                  | 1                  | 87   | 0        | 0         | 1         | 64         | 4              | 0.0625          | 1.06667         | 79        | 0             | 0              | 1              | 75   | 0        | 0         | 1         | 51      | 0           | 0            | 1            | 69      | 0           | 0            | 1            | 68    | 0         | 0          | 1          | 63           | 0                | 0                 | 1                 | 39                 | 3                      | 0.0769231               | 1.08333                 | 58       | 0            | 0             | 1             | 55         | 0              | 0               | 1               | 56       | 0            | 0             | 1             | 53                       | 0                            | 0                             | 1                             | 37         | 2              | 0.0540541       | 1.05714         | 39     | 1          | 0.025641    | 1.02632     | 34         | 4              | 0.117647        | 1.13333         | 53           | 0                | 0                 | 1                 | 52      | 0           | 0            | 1            | 51                | 0                     | 0                      | 1                      | 50      | 0           | 0            | 1            | 47                  | 0                       | 0                        | 1                        | 40    | 1         | 0.025      | 1.02564    | 46    | 0         | 0          | 1          | 41          | 3               | 0.0731707        | 1.07895          | 42         | 0              | 0               | 1               | 36      | 0           | 0            | 1            | 38    | 0         | 0          | 1          | 37     | 0          | 0           | 1           | 31      | 0           | 0            | 1            | 26    | 0         | 0          | 1          | 31     | 1          | 0.0322581   | 1.03333     | 24         | 1              | 0.0416667       | 1.04348         | 26     | 0          | 0           | 1           | 25       | 3            | 0.12          | 1.13636       | 28       | 0            | 0             | 1             | 26        | 0             | 0              | 1              | 26            | 0                 | 0                  | 1                  | 19    | 3         | 0.157895   | 1.1875     | 19       | 1            | 0.0526316     | 1.05556       | 22          | 0               | 0                | 1                | 19         | 0              | 0               | 1               | 20       | 0            | 0             | 1             | 21       | 0            | 0             | 1             | 18       | 0            | 0             | 1             | 19     | 0          | 0           | 1           | 17     | 0          | 0           | 1           | 15      | 0           | 0            | 1            | 13       | 0            | 0             | 1             | 15   | 0        | 0         | 1         | 14                    | 0                         | 0                          | 1                          | 13               | 0                    | 0                     | 1                     | 11      | 0           | 0            | 1            | 10     | 0          | 0           | 1           | 11        | 0             | 0              | 1              | 10      | 0           | 0            | 1            | 10      | 0           | 0            | 1            | 10        | 0             | 0              | 1              | 9          | 0              | 0               | 1               | 9     | 0         | 0          | 1          | 8                   | 0                       | 0                        | 1                        | 7        | 0            | 0             | 1             | 7       | 0           | 0            | 1            | 7       | 0           | 0            | 1            | 6     | 0         | 0          | 1          | 3       | 1           | 0.333333     | 1.5          | 4      | 0          | 0           | 1           | 3      | 0          | 0           | 1           | 4      | 0          | 0           | 1           | 3                   | 0                       | 0                        | 1                        | 3      | 0          | 0           | 1           | 2      | 0          | 0           | 1           | 2          | 0              | 0               | 1               | 1       | 0           | 0            | 1            | 1        | 0            | 0             | 1             | 1       | 0           | 0            | 1            | 1             | 0                 | 0                  | 1                  | 1              | 0                  | 0                   | 1                   | 0      | 0          | nan         | nan         | 0        | 0            | nan           | nan           | 0        | 0            | nan           | nan           | 0       | 0           | nan          | nan          | 0    | 0        | nan       | nan       | 0       | 0           | nan          | nan          | 0        | 0            | nan           | nan           | 0    | 0        | nan       | nan       | 0        | 0            | nan           | nan           | 0                | 0                    | nan                   | nan                   | 0                     | 0                         | nan                        | nan                        | 0           | 0               | nan              | nan              | 0                                | 0                                    | nan                                   | nan                                   | 0          | 0              | nan             | nan             | 0           | 0               | nan              | nan              | 0      | 0          | nan         | nan         | 0       | 0           | nan          | nan\n",
       "07/14/20 | 136466 | 900    | 0.00659505 | 1.00664 | 74133  | 1300       | 0.0175361   | 1.01785     | 45053          | 138                | 0.00306306          | 1.00307             | 36327  | 836        | 0.0230132   | 1.02356     | 34984 | 17        | 0.000485936 | 1.00049    | 30032  | 0          | 0           | 1           | 28409 | 3         | 0.0001056   | 1.00011    | 24309 | 582       | 0.0239417  | 1.02453    | 13211 | 179      | 0.0135493 | 1.01374   | 12229 | 175      | 0.0143102 | 1.01452   | 11597  | 175        | 0.0150901   | 1.01532     | 9787    | 5           | 0.000510882  | 1.00051      | 9078    | 4           | 0.000440626  | 1.00044      | 8845   | 9          | 0.00101752  | 1.00102     | 7069  | 45        | 0.00636582 | 1.00641    | 5625     | 170          | 0.0302222     | 1.03116       | 6154        | -2              | -0.000324992     | 0.999675         | 5545   | 9          | 0.00162308  | 1.00163     | 5386     | 66           | 0.012254      | 1.01241       | 5402   | 20         | 0.00370233  | 1.00372     | 5130    | 67          | 0.0130604    | 1.01323      | 4346         | 174              | 0.0400368         | 1.04171           | 4642  | 1         | 0.000215424 | 1.00022    | 4008  | 73        | 0.0182136  | 1.01855    | 3710      | 54            | 0.0145553      | 1.01477        | 3345 | 95       | 0.0284006 | 1.02923   | 2424       | 33             | 0.0136139       | 1.0138          | 2283         | 40               | 0.0175208         | 1.01783           | 1968      | 65            | 0.0330285      | 1.03416        | 1898    | 32          | 0.0168599    | 1.01715      | 1931    | 30          | 0.015536     | 1.01578      | 1968        | 0               | 0                | 1                | 1603        | 4               | 0.00249532       | 1.0025           | 1746    | 0           | 0            | 1            | 1668     | 6            | 0.00359712    | 1.00361       | 1588   | 12         | 0.00755668  | 1.00761     | 1429    | 14          | 0.00979706   | 1.00989      | 1302      | 58            | 0.0445469      | 1.04662        | 1048        | 36              | 0.0343511        | 1.03557          | 960    | 28         | 0.0291667   | 1.03004     | 1028    | 10          | 0.00972763   | 1.00982      | 984   | 0         | 0          | 1          | 910                | 7                      | 0.00769231              | 1.00775                 | 149        | 0              | 0               | 1               | 807      | 18           | 0.0223048     | 1.02281       | 754     | 10          | 0.0132626    | 1.01344      | 709     | 1           | 0.00141044   | 1.00141      | 655     | 6           | 0.00916031   | 1.00924      | 659   | 2         | 0.0030349  | 1.00304    | 581     | 8           | 0.0137694    | 1.01396      | 610     | 0           | 0            | 1            | 595     | 0           | 0            | 1            | 474     | 6           | 0.0126582    | 1.01282      | 418    | 13         | 0.0311005   | 1.0321      | 429   | 5         | 0.011655   | 1.01179    | 389             | 4                   | 0.0102828            | 1.01039              | 396    | 3          | 0.00757576  | 1.00763     | 371    | 6          | 0.0161725   | 1.01644     | 375        | 0              | 0               | 1               | 359      | 0            | 0             | 1             | 355     | 2           | 0.0056338    | 1.00567      | 319        | 6              | 0.0188088       | 1.01917         | 335                  | 1                        | 0.00298507                | 1.00299                   | 329     | 0           | 0            | 1            | 278         | 11              | 0.0395683        | 1.0412           | 273  | 14       | 0.0512821  | 1.05405   | 283      | 7            | 0.024735      | 1.02536       | 289          | 0                | 0                 | 1                 | 257     | 2           | 0.0077821    | 1.00784      | 253    | 0          | 0           | 1           | 226                    | 0                          | 0                           | 1                           | 202   | 5         | 0.0247525  | 1.02538    | 193    | 0          | 0           | 1           | 190              | 0                    | 0                     | 1                     | 139      | 11           | 0.0791367     | 1.08594       | 150     | 0           | 0            | 1            | 150   | 1         | 0.00666667 | 1.00671    | 147        | 0              | 0               | 1               | 141   | 0         | 0          | 1          | 139   | 0         | 0          | 1          | 108    | 0          | 0           | 1           | 111     | 2           | 0.018018     | 1.01835      | 111       | 3             | 0.027027       | 1.02778        | 122      | 0            | 0             | 1             | 121  | 0        | 0         | 1         | 120     | 1           | 0.00833333   | 1.0084       | 42     | 0          | 0           | 1           | 97      | 2           | 0.0206186    | 1.02105      | 111        | 0              | 0               | 1               | 111      | 0            | 0             | 1             | 96        | 3             | 0.03125        | 1.03226        | 99        | 8             | 0.0808081      | 1.08791        | 93      | 0           | 0            | 1            | 87            | 3                 | 0.0344828          | 1.03571            | 87   | 0        | 0         | 1         | 67         | 3              | 0.0447761       | 1.04688         | 79        | 0             | 0              | 1              | 75   | 0        | 0         | 1         | 51      | 0           | 0            | 1            | 69      | 0           | 0            | 1            | 68    | 0         | 0          | 1          | 64           | 1                | 0.015625          | 1.01587           | 44                 | 5                      | 0.113636                | 1.12821                 | 58       | 0            | 0             | 1             | 56         | 1              | 0.0178571       | 1.01818         | 56       | 0            | 0             | 1             | 53                       | 0                            | 0                             | 1                             | 39         | 2              | 0.0512821       | 1.05405         | 40     | 1          | 0.025       | 1.02564     | 37         | 3              | 0.0810811       | 1.08824         | 53           | 0                | 0                 | 1                 | 52      | 0           | 0            | 1            | 51                | 0                     | 0                      | 1                      | 50      | 0           | 0            | 1            | 47                  | 0                       | 0                        | 1                        | 42    | 2         | 0.047619   | 1.05       | 46    | 0         | 0          | 1          | 41          | 0               | 0                | 1                | 42         | 0              | 0               | 1               | 37      | 1           | 0.027027     | 1.02778      | 38    | 0         | 0          | 1          | 38     | 1          | 0.0263158   | 1.02703     | 31      | 0           | 0            | 1            | 26    | 0         | 0          | 1          | 31     | 0          | 0           | 1           | 24         | 0              | 0               | 1               | 26     | 0          | 0           | 1           | 25       | 0            | 0             | 1             | 28       | 0            | 0             | 1             | 27        | 1             | 0.037037       | 1.03846        | 26            | 0                 | 0                  | 1                  | 21    | 2         | 0.0952381  | 1.10526    | 20       | 1            | 0.05          | 1.05263       | 22          | 0               | 0                | 1                | 19         | 0              | 0               | 1               | 20       | 0            | 0             | 1             | 21       | 0            | 0             | 1             | 18       | 0            | 0             | 1             | 19     | 0          | 0           | 1           | 17     | 0          | 0           | 1           | 15      | 0           | 0            | 1            | 14       | 1            | 0.0714286     | 1.07692       | 15   | 0        | 0         | 1         | 14                    | 0                         | 0                          | 1                          | 13               | 0                    | 0                     | 1                     | 11      | 0           | 0            | 1            | 10     | 0          | 0           | 1           | 11        | 0             | 0              | 1              | 10      | 0           | 0            | 1            | 10      | 0           | 0            | 1            | 10        | 0             | 0              | 1              | 9          | 0              | 0               | 1               | 9     | 0         | 0          | 1          | 8                   | 0                       | 0                        | 1                        | 7        | 0            | 0             | 1             | 7       | 0           | 0            | 1            | 7       | 0           | 0            | 1            | 6     | 0         | 0          | 1          | 3       | 0           | 0            | 1            | 4      | 0          | 0           | 1           | 3      | 0          | 0           | 1           | 4      | 0          | 0           | 1           | 3                   | 0                       | 0                        | 1                        | 3      | 0          | 0           | 1           | 2      | 0          | 0           | 1           | 2          | 0              | 0               | 1               | 2       | 1           | 0.5          | 2            | 1        | 0            | 0             | 1             | 1       | 0           | 0            | 1            | 1             | 0                 | 0                  | 1                  | 1              | 0                  | 0                   | 1                   | 0      | 0          | nan         | nan         | 0        | 0            | nan           | nan           | 0        | 0            | nan           | nan           | 0       | 0           | nan          | nan          | 0    | 0        | nan       | nan       | 0       | 0           | nan          | nan          | 0        | 0            | nan           | nan           | 0    | 0        | nan       | nan       | 0        | 0            | nan           | nan           | 0                | 0                    | nan                   | nan                   | 0                     | 0                         | nan                        | nan                        | 0           | 0               | nan              | nan              | 0                                | 0                                    | nan                                   | nan                                   | 0          | 0              | nan             | nan             | 0           | 0               | nan              | nan              | 0      | 0          | nan         | nan         | 0       | 0           | nan          | nan\n",
       "07/15/20 | 137415 | 949    | 0.00690609 | 1.00695 | 75366  | 1233       | 0.0163602   | 1.01663     | 45138          | 85                 | 0.00188311          | 1.00189             | 36906  | 579        | 0.0156885   | 1.01594     | 34997 | 13        | 0.00037146  | 1.00037    | 30123  | 91         | 0.00302095  | 1.00303     | 28413 | 4         | 0.000140781 | 1.00014    | 24914 | 605       | 0.0242835  | 1.02489    | 13410 | 199      | 0.0148397 | 1.01506   | 12417 | 188      | 0.0151405 | 1.01537   | 11753  | 156        | 0.0132732   | 1.01345     | 9788    | 1           | 0.000102166  | 1.0001       | 9080    | 2           | 0.000220264  | 1.00022      | 8857   | 12         | 0.00135486  | 1.00136     | 7186  | 117       | 0.0162817  | 1.01655    | 5814     | 189          | 0.0325077     | 1.0336        | 6155        | 1               | 0.00016247       | 1.00016          | 5572   | 27         | 0.00484566  | 1.00487     | 5426     | 40           | 0.00737191    | 1.00743       | 5419   | 17         | 0.00313711  | 1.00315     | 5158    | 28          | 0.00542846   | 1.00546      | 4453         | 107              | 0.0240287         | 1.02462           | 4644  | 2         | 0.000430663 | 1.00043    | 4067  | 59        | 0.014507   | 1.01472    | 3797      | 87            | 0.0229128      | 1.02345        | 3432 | 87       | 0.0253497 | 1.02601   | 2457       | 33             | 0.013431        | 1.01361         | 2325         | 42               | 0.0180645         | 1.0184            | 2050      | 82            | 0.04           | 1.04167        | 1942    | 44          | 0.0226571    | 1.02318      | 1952    | 21          | 0.0107582    | 1.01088      | 1968        | 0               | 0                | 1                | 1614        | 11              | 0.00681537       | 1.00686          | 1748    | 2           | 0.00114416   | 1.00115      | 1676     | 8            | 0.00477327    | 1.0048        | 1594   | 6          | 0.00376412  | 1.00378     | 1444    | 15          | 0.0103878    | 1.0105       | 1350      | 48            | 0.0355556      | 1.03687        | 1094        | 46              | 0.0420475        | 1.04389          | 982    | 22         | 0.0224033   | 1.02292     | 1040    | 12          | 0.0115385    | 1.01167      | 984   | 0         | 0          | 1          | 929                | 19                     | 0.0204521               | 1.02088                 | 165        | 16             | 0.0969697       | 1.10738         | 825      | 18           | 0.0218182     | 1.0223        | 760     | 6           | 0.00789474   | 1.00796      | 710     | 1           | 0.00140845   | 1.00141      | 659     | 4           | 0.0060698    | 1.00611      | 668   | 9         | 0.0134731  | 1.01366    | 592     | 11          | 0.0185811    | 1.01893      | 610     | 0           | 0            | 1            | 595     | 0           | 0            | 1            | 480     | 6           | 0.0125       | 1.01266      | 429    | 11         | 0.025641    | 1.02632     | 433   | 4         | 0.00923788 | 1.00932    | 393             | 4                   | 0.0101781            | 1.01028              | 399    | 3          | 0.0075188   | 1.00758     | 376    | 5          | 0.0132979   | 1.01348     | 375        | 0              | 0               | 1               | 359      | 0            | 0             | 1             | 355     | 0           | 0            | 1            | 326        | 7              | 0.0214724       | 1.02194         | 335                  | 0                        | 0                         | 1                         | 328     | -1          | -0.00304878  | 0.99696      | 286         | 8               | 0.027972         | 1.02878          | 281  | 8        | 0.0284698  | 1.0293    | 289      | 6            | 0.0207612     | 1.0212        | 291          | 2                | 0.00687285        | 1.00692           | 259     | 2           | 0.00772201   | 1.00778      | 253    | 0          | 0           | 1           | 235                    | 9                          | 0.0382979                   | 1.03982                     | 209   | 7         | 0.0334928  | 1.03465    | 193    | 0          | 0           | 1           | 192              | 2                    | 0.0104167             | 1.01053               | 146      | 7            | 0.0479452     | 1.05036       | 153     | 3           | 0.0196078    | 1.02         | 151   | 1         | 0.00662252 | 1.00667    | 149        | 2              | 0.0134228       | 1.01361         | 143   | 2         | 0.013986   | 1.01418    | 139   | 0         | 0          | 1          | 112    | 4          | 0.0357143   | 1.03704     | 117     | 6           | 0.0512821    | 1.05405      | 113       | 2             | 0.0176991      | 1.01802        | 122      | 0            | 0             | 1             | 121  | 0        | 0         | 1         | 120     | 0           | 0            | 1            | 42     | 0          | 0           | 1           | 101     | 4           | 0.039604     | 1.04124      | 111        | 0              | 0               | 1               | 111      | 0            | 0             | 1             | 100       | 4             | 0.04           | 1.04167        | 99        | 0             | 0              | 1              | 93      | 0           | 0            | 1            | 87            | 0                 | 0                  | 1                  | 87   | 0        | 0         | 1         | 71         | 4              | 0.056338        | 1.0597          | 79        | 0             | 0              | 1              | 75   | 0        | 0         | 1         | 51      | 0           | 0            | 1            | 69      | 0           | 0            | 1            | 69    | 1         | 0.0144928  | 1.01471    | 64           | 0                | 0                 | 1                 | 44                 | 0                      | 0                       | 1                       | 58       | 0            | 0             | 1             | 56         | 0              | 0               | 1               | 56       | 0            | 0             | 1             | 53                       | 0                            | 0                             | 1                             | 43         | 4              | 0.0930233       | 1.10256         | 43     | 3          | 0.0697674   | 1.075       | 40         | 3              | 0.075           | 1.08108         | 53           | 0                | 0                 | 1                 | 52      | 0           | 0            | 1            | 51                | 0                     | 0                      | 1                      | 50      | 0           | 0            | 1            | 47                  | 0                       | 0                        | 1                        | 43    | 1         | 0.0232558  | 1.02381    | 46    | 0         | 0          | 1          | 41          | 0               | 0                | 1                | 42         | 0              | 0               | 1               | 38      | 1           | 0.0263158    | 1.02703      | 39    | 1         | 0.025641   | 1.02632    | 38     | 0          | 0           | 1           | 31      | 0           | 0            | 1            | 26    | 0         | 0          | 1          | 31     | 0          | 0           | 1           | 24         | 0              | 0               | 1               | 27     | 1          | 0.037037    | 1.03846     | 25       | 0            | 0             | 1             | 28       | 0            | 0             | 1             | 27        | 0             | 0              | 1              | 26            | 0                 | 0                  | 1                  | 22    | 1         | 0.0454545  | 1.04762    | 20       | 0            | 0             | 1             | 22          | 0               | 0                | 1                | 19         | 0              | 0               | 1               | 20       | 0            | 0             | 1             | 21       | 0            | 0             | 1             | 18       | 0            | 0             | 1             | 19     | 0          | 0           | 1           | 18     | 1          | 0.0555556   | 1.05882     | 15      | 0           | 0            | 1            | 14       | 0            | 0             | 1             | 15   | 0        | 0         | 1         | 14                    | 0                         | 0                          | 1                          | 13               | 0                    | 0                     | 1                     | 11      | 0           | 0            | 1            | 10     | 0          | 0           | 1           | 11        | 0             | 0              | 1              | 10      | 0           | 0            | 1            | 10      | 0           | 0            | 1            | 10        | 0             | 0              | 1              | 9          | 0              | 0               | 1               | 9     | 0         | 0          | 1          | 8                   | 0                       | 0                        | 1                        | 7        | 0            | 0             | 1             | 7       | 0           | 0            | 1            | 7       | 0           | 0            | 1            | 6     | 0         | 0          | 1          | 3       | 0           | 0            | 1            | 4      | 0          | 0           | 1           | 3      | 0          | 0           | 1           | 4      | 0          | 0           | 1           | 3                   | 0                       | 0                        | 1                        | 3      | 0          | 0           | 1           | 2      | 0          | 0           | 1           | 2          | 0              | 0               | 1               | 2       | 0           | 0            | 1            | 1        | 0            | 0             | 1             | 1       | 0           | 0            | 1            | 1             | 0                 | 0                  | 1                  | 1              | 0                  | 0                   | 1                   | 0      | 0          | nan         | nan         | 0        | 0            | nan           | nan           | 0        | 0            | nan           | nan           | 0       | 0           | nan          | nan          | 0    | 0        | nan       | nan       | 0       | 0           | nan          | nan          | 0        | 0            | nan           | nan           | 0    | 0        | nan       | nan       | 0        | 0            | nan           | nan           | 0                | 0                    | nan                   | nan                   | 0                     | 0                         | nan                        | nan                        | 0           | 0               | nan              | nan              | 0                                | 0                                    | nan                                   | nan                                   | 0          | 0              | nan             | nan             | 0           | 0               | nan              | nan              | 0      | 0          | nan         | nan         | 0       | 0           | nan          | nan\n",
       "07/16/20 | 138358 | 943    | 0.00681565 | 1.00686 | 76688  | 1322       | 0.0172387   | 1.01754     | 45204          | 66                 | 0.00146005          | 1.00146             | 37574  | 668        | 0.0177783   | 1.0181      | 35017 | 20        | 0.000571151 | 1.00057    | 30141  | 18         | 0.000597193 | 1.0006      | 28416 | 3         | 0.000105574 | 1.00011    | 25602 | 688       | 0.0268729  | 1.02761    | 13608 | 198      | 0.0145503 | 1.01477   | 12615 | 198      | 0.0156956 | 1.01595   | 11920  | 167        | 0.0140101   | 1.01421     | 9795    | 7           | 0.00071465   | 1.00072      | 9087    | 7           | 0.000770331  | 1.00077      | 8875   | 18         | 0.00202817  | 1.00203     | 7290  | 104       | 0.0142661  | 1.01447    | 6029     | 215          | 0.035661      | 1.03698       | 6156        | 1               | 0.000162443      | 1.00016          | 5593   | 21         | 0.00375469  | 1.00377     | 5426     | 0            | 0             | 1             | 5440   | 21         | 0.00386029  | 1.00388     | 5207    | 49          | 0.00941041   | 1.0095       | 4669         | 216              | 0.0462626         | 1.04851           | 4644  | 0         | 0           | 1          | 4120  | 53        | 0.0128641  | 1.01303    | 3873      | 76            | 0.019623       | 1.02002        | 3522 | 90       | 0.0255537 | 1.02622   | 2496       | 39             | 0.015625        | 1.01587         | 2370         | 45               | 0.0189873         | 1.01935           | 2112      | 62            | 0.0293561      | 1.03024        | 1984    | 42          | 0.0211694    | 1.02163      | 1971    | 19          | 0.00963978   | 1.00973      | 1969        | 1               | 0.000507872      | 1.00051          | 1643        | 29              | 0.0176506        | 1.01797          | 1749    | 1           | 0.000571755  | 1.00057      | 1679     | 3            | 0.00178678    | 1.00179       | 1605   | 11         | 0.00685358  | 1.0069      | 1462    | 18          | 0.0123119    | 1.01247      | 1404      | 54            | 0.0384615      | 1.04           | 1113        | 19              | 0.017071         | 1.01737          | 1000   | 18         | 0.018       | 1.01833     | 1052    | 12          | 0.0114068    | 1.01154      | 985   | 1         | 0.00101523 | 1.00102    | 941                | 12                     | 0.0127524               | 1.01292                 | 167        | 2              | 0.011976        | 1.01212         | 835      | 10           | 0.011976      | 1.01212       | 769     | 9           | 0.0117035    | 1.01184      | 711     | 1           | 0.00140647   | 1.00141      | 666     | 7           | 0.0105105    | 1.01062      | 668   | 0         | 0          | 1          | 607     | 15          | 0.0247117    | 1.02534      | 610     | 0           | 0            | 1            | 595     | 0           | 0            | 1            | 485     | 5           | 0.0103093    | 1.01042      | 442    | 13         | 0.0294118   | 1.0303      | 438   | 5         | 0.0114155  | 1.01155    | 401             | 8                   | 0.0199501            | 1.02036              | 402    | 3          | 0.00746269  | 1.00752     | 384    | 8          | 0.0208333   | 1.02128     | 375        | 0              | 0               | 1               | 373      | 14           | 0.0375335     | 1.039         | 355     | 0           | 0            | 1            | 334        | 8              | 0.0239521       | 1.02454         | 335                  | 0                        | 0                         | 1                         | 328     | 0           | 0            | 1            | 298         | 12              | 0.0402685        | 1.04196          | 290  | 9        | 0.0310345  | 1.03203   | 293      | 4            | 0.0136519     | 1.01384       | 293          | 2                | 0.00682594        | 1.00687           | 263     | 4           | 0.0152091    | 1.01544      | 254    | 1          | 0.00393701  | 1.00395     | 240                    | 5                          | 0.0208333                   | 1.02128                     | 217   | 8         | 0.0368664  | 1.03828    | 193    | 0          | 0           | 1           | 193              | 1                    | 0.00518135            | 1.00521               | 148      | 2            | 0.0135135     | 1.0137        | 156     | 3           | 0.0192308    | 1.01961      | 152   | 1         | 0.00657895 | 1.00662    | 150        | 1              | 0.00666667      | 1.00671         | 145   | 2         | 0.0137931  | 1.01399    | 139   | 0         | 0          | 1          | 112    | 0          | 0           | 1           | 121     | 4           | 0.0330579    | 1.03419      | 116       | 3             | 0.0258621      | 1.02655        | 122      | 0            | 0             | 1             | 121  | 0        | 0         | 1         | 120     | 0           | 0            | 1            | 42     | 0          | 0           | 1           | 104     | 3           | 0.0288462    | 1.0297       | 111        | 0              | 0               | 1               | 111      | 0            | 0             | 1             | 104       | 4             | 0.0384615      | 1.04           | 99        | 0             | 0              | 1              | 93      | 0           | 0            | 1            | 87            | 0                 | 0                  | 1                  | 87   | 0        | 0         | 1         | 75         | 4              | 0.0533333       | 1.05634         | 79        | 0             | 0              | 1              | 75   | 0        | 0         | 1         | 68      | 17          | 0.25         | 1.33333      | 69      | 0           | 0            | 1            | 69    | 0         | 0          | 1          | 64           | 0                | 0                 | 1                 | 51                 | 7                      | 0.137255                | 1.15909                 | 58       | 0            | 0             | 1             | 56         | 0              | 0               | 1               | 56       | 0            | 0             | 1             | 53                       | 0                            | 0                             | 1                             | 53         | 10             | 0.188679        | 1.23256         | 51     | 8          | 0.156863    | 1.18605     | 42         | 2              | 0.047619        | 1.05            | 53           | 0                | 0                 | 1                 | 52      | 0           | 0            | 1            | 51                | 0                     | 0                      | 1                      | 50      | 0           | 0            | 1            | 48                  | 1                       | 0.0208333                | 1.02128                  | 46    | 3         | 0.0652174  | 1.06977    | 46    | 0         | 0          | 1          | 41          | 0               | 0                | 1                | 42         | 0              | 0               | 1               | 40      | 2           | 0.05         | 1.05263      | 39    | 0         | 0          | 1          | 39     | 1          | 0.025641    | 1.02632     | 32      | 1           | 0.03125      | 1.03226      | 28    | 2         | 0.0714286  | 1.07692    | 31     | 0          | 0           | 1           | 24         | 0              | 0               | 1               | 28     | 1          | 0.0357143   | 1.03704     | 27       | 2            | 0.0740741     | 1.08          | 28       | 0            | 0             | 1             | 27        | 0             | 0              | 1              | 26            | 0                 | 0                  | 1                  | 22    | 0         | 0          | 1          | 23       | 3            | 0.130435      | 1.15          | 22          | 0               | 0                | 1                | 19         | 0              | 0               | 1               | 21       | 1            | 0.047619      | 1.05          | 21       | 0            | 0             | 1             | 18       | 0            | 0             | 1             | 19     | 0          | 0           | 1           | 19     | 1          | 0.0526316   | 1.05556     | 15      | 0           | 0            | 1            | 15       | 1            | 0.0666667     | 1.07143       | 15   | 0        | 0         | 1         | 14                    | 0                         | 0                          | 1                          | 13               | 0                    | 0                     | 1                     | 11      | 0           | 0            | 1            | 10     | 0          | 0           | 1           | 11        | 0             | 0              | 1              | 10      | 0           | 0            | 1            | 10      | 0           | 0            | 1            | 10        | 0             | 0              | 1              | 9          | 0              | 0               | 1               | 9     | 0         | 0          | 1          | 8                   | 0                       | 0                        | 1                        | 7        | 0            | 0             | 1             | 7       | 0           | 0            | 1            | 7       | 0           | 0            | 1            | 6     | 0         | 0          | 1          | 3       | 0           | 0            | 1            | 4      | 0          | 0           | 1           | 3      | 0          | 0           | 1           | 4      | 0          | 0           | 1           | 3                   | 0                       | 0                        | 1                        | 3      | 0          | 0           | 1           | 2      | 0          | 0           | 1           | 2          | 0              | 0               | 1               | 2       | 0           | 0            | 1            | 1        | 0            | 0             | 1             | 1       | 0           | 0            | 1            | 1             | 0                 | 0                  | 1                  | 1              | 0                  | 0                   | 1                   | 0      | 0          | nan         | nan         | 0        | 0            | nan           | nan           | 0        | 0            | nan           | nan           | 0       | 0           | nan          | nan          | 0    | 0        | nan       | nan       | 0       | 0           | nan          | nan          | 0        | 0            | nan           | nan           | 0    | 0        | nan       | nan       | 0        | 0            | nan           | nan           | 0                | 0                    | nan                   | nan                   | 0                     | 0                         | nan                        | nan                        | 0           | 0               | nan              | nan              | 0                                | 0                                    | nan                                   | nan                                   | 0          | 0              | nan             | nan             | 0           | 0               | nan              | nan              | 0      | 0          | nan         | nan         | 0       | 0           | nan          | nan\n",
       "07/17/20 | 139266 | 908    | 0.0065199  | 1.00656 | 77851  | 1163       | 0.0149388   | 1.01517     | 45318          | 114                | 0.00251556          | 1.00252             | 38310  | 736        | 0.0192117   | 1.01959     | 35028 | 11        | 0.000314034 | 1.00031    | 30155  | 14         | 0.000464268 | 1.00046     | 28420 | 4         | 0.000140746 | 1.00014    | 26273 | 671       | 0.0255395  | 1.02621    | 13791 | 183      | 0.0132695 | 1.01345   | 12799 | 184      | 0.0143761 | 1.01459   | 12106  | 186        | 0.0153643   | 1.0156      | 9800    | 5           | 0.000510204  | 1.00051      | 9088    | 1           | 0.000110035  | 1.00011      | 8884   | 9          | 0.00101306  | 1.00101     | 8347  | 1057      | 0.126632   | 1.14499    | 6288     | 259          | 0.0411896     | 1.04296       | 6157        | 1               | 0.000162417      | 1.00016          | 5619   | 26         | 0.00462716  | 1.00465     | 5522     | 96           | 0.017385      | 1.01769       | 5458   | 18         | 0.00329791  | 1.00331     | 5250    | 43          | 0.00819048   | 1.00826      | 4804         | 135              | 0.0281016         | 1.02891           | 4644  | 0         | 0           | 1          | 4188  | 68        | 0.0162369  | 1.0165     | 3957      | 84            | 0.0212282      | 1.02169        | 3616 | 94       | 0.0259956 | 1.02669   | 2547       | 51             | 0.0200236       | 1.02043         | 2407         | 37               | 0.0153718         | 1.01561           | 2178      | 66            | 0.030303       | 1.03125        | 2049    | 65          | 0.0317228    | 1.03276      | 1988    | 17          | 0.00855131   | 1.00863      | 1969        | 0               | 0                | 1                | 1660        | 17              | 0.010241         | 1.01035          | 1752    | 3           | 0.00171233   | 1.00172      | 1682     | 3            | 0.00178359    | 1.00179       | 1612   | 7          | 0.00434243  | 1.00436     | 1473    | 11          | 0.00746775   | 1.00752      | 1443      | 39            | 0.027027       | 1.02778        | 1147        | 34              | 0.0296425        | 1.03055          | 1038   | 38         | 0.0366089   | 1.038       | 1057    | 5           | 0.00473037   | 1.00475      | 985   | 0         | 0          | 1          | 942                | 1                      | 0.00106157              | 1.00106                 | 173        | 6              | 0.0346821       | 1.03593         | 857      | 22           | 0.0256709     | 1.02635       | 772     | 3           | 0.00388601   | 1.0039       | 711     | 0           | 0            | 1            | 675     | 9           | 0.0133333    | 1.01351      | 668   | 0         | 0          | 1          | 620     | 13          | 0.0209677    | 1.02142      | 611     | 1           | 0.00163666   | 1.00164      | 595     | 0           | 0            | 1            | 491     | 6           | 0.01222      | 1.01237      | 452    | 10         | 0.0221239   | 1.02262     | 440   | 2         | 0.00454545 | 1.00457    | 406             | 5                   | 0.0123153            | 1.01247              | 404    | 2          | 0.0049505   | 1.00498     | 392    | 8          | 0.0204082   | 1.02083     | 375        | 0              | 0               | 1               | 373      | 0            | 0             | 1             | 358     | 3           | 0.00837989   | 1.00845      | 341        | 7              | 0.0205279       | 1.02096         | 337                  | 2                        | 0.00593472                | 1.00597                   | 328     | 0           | 0            | 1            | 309         | 11              | 0.0355987        | 1.03691          | 298  | 8        | 0.0268456  | 1.02759   | 297      | 4            | 0.013468      | 1.01365       | 294          | 1                | 0.00340136        | 1.00341           | 264     | 1           | 0.00378788   | 1.0038       | 255    | 1          | 0.00392157  | 1.00394     | 245                    | 5                          | 0.0204082                   | 1.02083                     | 222   | 5         | 0.0225225  | 1.02304    | 194    | 1          | 0.00515464  | 1.00518     | 193              | 0                    | 0                     | 1                     | 150      | 2            | 0.0133333     | 1.01351       | 160     | 4           | 0.025        | 1.02564      | 153   | 1         | 0.00653595 | 1.00658    | 151        | 1              | 0.00662252      | 1.00667         | 146   | 1         | 0.00684932 | 1.0069     | 144   | 5         | 0.0347222  | 1.03597    | 124    | 12         | 0.0967742   | 1.10714     | 124     | 3           | 0.0241935    | 1.02479      | 118       | 2             | 0.0169492      | 1.01724        | 122      | 0            | 0             | 1             | 121  | 0        | 0         | 1         | 120     | 0           | 0            | 1            | 109    | 67         | 0.614679    | 2.59524     | 107     | 3           | 0.0280374    | 1.02885      | 111        | 0              | 0               | 1               | 111      | 0            | 0             | 1             | 107       | 3             | 0.0280374      | 1.02885        | 99        | 0             | 0              | 1              | 93      | 0           | 0            | 1            | 87            | 0                 | 0                  | 1                  | 87   | 0        | 0         | 1         | 79         | 4              | 0.0506329       | 1.05333         | 79        | 0             | 0              | 1              | 75   | 0        | 0         | 1         | 69      | 1           | 0.0144928    | 1.01471      | 69      | 0           | 0            | 1            | 69    | 0         | 0          | 1          | 65           | 1                | 0.0153846         | 1.01562           | 53                 | 2                      | 0.0377358               | 1.03922                 | 58       | 0            | 0             | 1             | 56         | 0              | 0               | 1               | 56       | 0            | 0             | 1             | 53                       | 0                            | 0                             | 1                             | 54         | 1              | 0.0185185       | 1.01887         | 55     | 4          | 0.0727273   | 1.07843     | 47         | 5              | 0.106383        | 1.11905         | 53           | 0                | 0                 | 1                 | 52      | 0           | 0            | 1            | 51                | 0                     | 0                      | 1                      | 50      | 0           | 0            | 1            | 49                  | 1                       | 0.0204082                | 1.02083                  | 47    | 1         | 0.0212766  | 1.02174    | 46    | 0         | 0          | 1          | 43          | 2               | 0.0465116        | 1.04878          | 42         | 0              | 0               | 1               | 40      | 0           | 0            | 1            | 40    | 1         | 0.025      | 1.02564    | 39     | 0          | 0           | 1           | 32      | 0           | 0            | 1            | 31    | 3         | 0.0967742  | 1.10714    | 31     | 0          | 0           | 1           | 26         | 2              | 0.0769231       | 1.08333         | 29     | 1          | 0.0344828   | 1.03571     | 28       | 1            | 0.0357143     | 1.03704       | 28       | 0            | 0             | 1             | 27        | 0             | 0              | 1              | 26            | 0                 | 0                  | 1                  | 25    | 3         | 0.12       | 1.13636    | 24       | 1            | 0.0416667     | 1.04348       | 22          | 0               | 0                | 1                | 19         | 0              | 0               | 1               | 21       | 0            | 0             | 1             | 21       | 0            | 0             | 1             | 19       | 1            | 0.0526316     | 1.05556       | 19     | 0          | 0           | 1           | 19     | 0          | 0           | 1           | 15      | 0           | 0            | 1            | 15       | 0            | 0             | 1             | 15   | 0        | 0         | 1         | 14                    | 0                         | 0                          | 1                          | 13               | 0                    | 0                     | 1                     | 11      | 0           | 0            | 1            | 10     | 0          | 0           | 1           | 11        | 0             | 0              | 1              | 10      | 0           | 0            | 1            | 10      | 0           | 0            | 1            | 10        | 0             | 0              | 1              | 9          | 0              | 0               | 1               | 9     | 0         | 0          | 1          | 8                   | 0                       | 0                        | 1                        | 7        | 0            | 0             | 1             | 7       | 0           | 0            | 1            | 7       | 0           | 0            | 1            | 6     | 0         | 0          | 1          | 6       | 3           | 0.5          | 2            | 4      | 0          | 0           | 1           | 3      | 0          | 0           | 1           | 4      | 0          | 0           | 1           | 3                   | 0                       | 0                        | 1                        | 3      | 0          | 0           | 1           | 2      | 0          | 0           | 1           | 2          | 0              | 0               | 1               | 2       | 0           | 0            | 1            | 1        | 0            | 0             | 1             | 1       | 0           | 0            | 1            | 1             | 0                 | 0                  | 1                  | 1              | 0                  | 0                   | 1                   | 0      | 0          | nan         | nan         | 0        | 0            | nan           | nan           | 0        | 0            | nan           | nan           | 0       | 0           | nan          | nan          | 0    | 0        | nan       | nan       | 0       | 0           | nan          | nan          | 0        | 0            | nan           | nan           | 0    | 0        | nan       | nan       | 0        | 0            | nan           | nan           | 0                | 0                    | nan                   | nan                   | 0                     | 0                         | nan                        | nan                        | 0           | 0               | nan              | nan              | 0                                | 0                                    | nan                                   | nan                                   | 0          | 0              | nan             | nan             | 0           | 0               | nan              | nan              | 0      | 0          | nan         | nan         | 0       | 0           | nan          | nan\n",
       "07/18/20 | 140119 | 853    | 0.00608768 | 1.00612 | 78772  | 921        | 0.011692    | 1.01183     | 45358          | 40                 | 0.000881873         | 1.00088             | 38888  | 578        | 0.0148632   | 1.01509     | 35042 | 14        | 0.000399521 | 1.0004     | 30155  | 0          | 0           | 1           | 28420 | 0         | 0           | 1          | 26816 | 543       | 0.0202491  | 1.02067    | 13979 | 188      | 0.0134487 | 1.01363   | 12998 | 199      | 0.01531   | 1.01555   | 12228  | 122        | 0.0099771   | 1.01008     | 9800    | 0           | 0            | 1            | 9091    | 3           | 0.000329997  | 1.00033      | 8892   | 8          | 0.000899685 | 1.0009      | 8445  | 98        | 0.0116045  | 1.01174    | 6516     | 228          | 0.0349908     | 1.03626       | 6155        | -2              | -0.000324939     | 0.999675         | 5619   | 0          | 0           | 1           | 5568     | 46           | 0.00826149    | 1.00833       | 5475   | 17         | 0.00310502  | 1.00311     | 5282    | 32          | 0.00605831   | 1.0061       | 4948         | 144              | 0.0291027         | 1.02998           | 4644  | 0         | 0           | 1          | 4251  | 63        | 0.01482    | 1.01504    | 4016      | 59            | 0.0146912      | 1.01491        | 3691 | 75       | 0.0203197 | 1.02074   | 2581       | 34             | 0.0131732       | 1.01335         | 2447         | 40               | 0.0163465         | 1.01662           | 2220      | 42            | 0.0189189      | 1.01928        | 2106    | 57          | 0.0270655    | 1.02782      | 2009    | 21          | 0.010453     | 1.01056      | 1969        | 0               | 0                | 1                | 1773        | 113             | 0.0637338        | 1.06807          | 1753    | 1           | 0.000570451  | 1.00057      | 1684     | 2            | 0.00118765    | 1.00119       | 1618   | 6          | 0.00370828  | 1.00372     | 1496    | 23          | 0.0153743    | 1.01561      | 1443      | 0             | 0              | 1              | 1164        | 17              | 0.0146048        | 1.01482          | 1071   | 33         | 0.0308123   | 1.03179     | 1068    | 11          | 0.0102996    | 1.01041      | 986   | 1         | 0.0010142  | 1.00102    | 971                | 29                     | 0.0298661               | 1.03079                 | 900        | 727            | 0.807778        | 5.20231         | 891      | 34           | 0.0381594     | 1.03967       | 778     | 6           | 0.00771208   | 1.00777      | 711     | 0           | 0            | 1            | 680     | 5           | 0.00735294   | 1.00741      | 673   | 5         | 0.00742942 | 1.00749    | 631     | 11          | 0.0174326    | 1.01774      | 611     | 0           | 0            | 1            | 596     | 1           | 0.00167785   | 1.00168      | 495     | 4           | 0.00808081   | 1.00815      | 461    | 9          | 0.0195228   | 1.01991     | 443   | 3         | 0.00677201 | 1.00682    | 414             | 8                   | 0.0193237            | 1.0197               | 407    | 3          | 0.00737101  | 1.00743     | 401    | 9          | 0.0224439   | 1.02296     | 375        | 0              | 0               | 1               | 373      | 0            | 0             | 1             | 358     | 0           | 0            | 1            | 349        | 8              | 0.0229226       | 1.02346         | 338                  | 1                        | 0.00295858                | 1.00297                   | 328     | 0           | 0            | 1            | 324         | 15              | 0.0462963        | 1.04854          | 308  | 10       | 0.0324675  | 1.03356   | 299      | 2            | 0.00668896    | 1.00673       | 295          | 1                | 0.00338983        | 1.0034            | 269     | 5           | 0.0185874    | 1.01894      | 255    | 0          | 0           | 1           | 246                    | 1                          | 0.00406504                  | 1.00408                     | 225   | 3         | 0.0133333  | 1.01351    | 194    | 0          | 0           | 1           | 193              | 0                    | 0                     | 1                     | 163      | 13           | 0.0797546     | 1.08667       | 163     | 3           | 0.0184049    | 1.01875      | 154   | 1         | 0.00649351 | 1.00654    | 153        | 2              | 0.0130719       | 1.01325         | 146   | 0         | 0          | 1          | 145   | 1         | 0.00689655 | 1.00694    | 130    | 6          | 0.0461538   | 1.04839     | 124     | 0           | 0            | 1            | 122       | 4             | 0.0327869      | 1.0339         | 122      | 0            | 0             | 1             | 121  | 0        | 0         | 1         | 120     | 0           | 0            | 1            | 120    | 11         | 0.0916667   | 1.10092     | 111     | 4           | 0.036036     | 1.03738      | 111        | 0              | 0               | 1               | 111      | 0            | 0             | 1             | 110       | 3             | 0.0272727      | 1.02804        | 99        | 0             | 0              | 1              | 93      | 0           | 0            | 1            | 91            | 4                 | 0.043956           | 1.04598            | 87   | 0        | 0         | 1         | 83         | 4              | 0.0481928       | 1.05063         | 80        | 1             | 0.0125         | 1.01266        | 75   | 0        | 0         | 1         | 70      | 1           | 0.0142857    | 1.01449      | 69      | 0           | 0            | 1            | 69    | 0         | 0          | 1          | 65           | 0                | 0                 | 1                 | 59                 | 6                      | 0.101695                | 1.11321                 | 58       | 0            | 0             | 1             | 57         | 1              | 0.0175439       | 1.01786         | 56       | 0            | 0             | 1             | 55                       | 2                            | 0.0363636                     | 1.03774                       | 55         | 1              | 0.0181818       | 1.01852         | 55     | 0          | 0           | 1           | 54         | 7              | 0.12963         | 1.14894         | 53           | 0                | 0                 | 1                 | 52      | 0           | 0            | 1            | 51                | 0                     | 0                      | 1                      | 50      | 0           | 0            | 1            | 49                  | 0                       | 0                        | 1                        | 48    | 1         | 0.0208333  | 1.02128    | 46    | 0         | 0          | 1          | 43          | 0               | 0                | 1                | 42         | 0              | 0               | 1               | 40      | 0           | 0            | 1            | 40    | 0         | 0          | 1          | 39     | 0          | 0           | 1           | 33      | 1           | 0.030303     | 1.03125      | 31    | 0         | 0          | 1          | 31     | 0          | 0           | 1           | 30         | 4              | 0.133333        | 1.15385         | 29     | 0          | 0           | 1           | 29       | 1            | 0.0344828     | 1.03571       | 28       | 0            | 0             | 1             | 27        | 0             | 0              | 1              | 26            | 0                 | 0                  | 1                  | 25    | 0         | 0          | 1          | 25       | 1            | 0.04          | 1.04167       | 22          | 0               | 0                | 1                | 21         | 2              | 0.0952381       | 1.10526         | 21       | 0            | 0             | 1             | 21       | 0            | 0             | 1             | 20       | 1            | 0.05          | 1.05263       | 19     | 0          | 0           | 1           | 19     | 0          | 0           | 1           | 15      | 0           | 0            | 1            | 15       | 0            | 0             | 1             | 15   | 0        | 0         | 1         | 14                    | 0                         | 0                          | 1                          | 13               | 0                    | 0                     | 1                     | 11      | 0           | 0            | 1            | 11     | 1          | 0.0909091   | 1.1         | 11        | 0             | 0              | 1              | 10      | 0           | 0            | 1            | 10      | 0           | 0            | 1            | 10        | 0             | 0              | 1              | 10         | 1              | 0.1             | 1.11111         | 9     | 0         | 0          | 1          | 8                   | 0                       | 0                        | 1                        | 7        | 0            | 0             | 1             | 7       | 0           | 0            | 1            | 7       | 0           | 0            | 1            | 6     | 0         | 0          | 1          | 6       | 0           | 0            | 1            | 5      | 1          | 0.2         | 1.25        | 4      | 1          | 0.25        | 1.33333     | 4      | 0          | 0           | 1           | 3                   | 0                       | 0                        | 1                        | 3      | 0          | 0           | 1           | 2      | 0          | 0           | 1           | 2          | 0              | 0               | 1               | 2       | 0           | 0            | 1            | 1        | 0            | 0             | 1             | 1       | 0           | 0            | 1            | 1             | 0                 | 0                  | 1                  | 1              | 0                  | 0                   | 1                   | 0      | 0          | nan         | nan         | 0        | 0            | nan           | nan           | 0        | 0            | nan           | nan           | 0       | 0           | nan          | nan          | 0    | 0        | nan       | nan       | 0       | 0           | nan          | nan          | 0        | 0            | nan           | nan           | 0    | 0        | nan       | nan       | 0        | 0            | nan           | nan           | 0                | 0                    | nan                   | nan                   | 0                     | 0                         | nan                        | nan                        | 0           | 0               | nan              | nan              | 0                                | 0                                    | nan                                   | nan                                   | 0          | 0              | nan             | nan             | 0           | 0               | nan              | nan              | 0      | 0          | nan         | nan         | 0       | 0           | nan          | nan"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deaths.order_cols().trend(active=False).tail(7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Changes in case rates\n",
    "\n",
    "Here we try to get a handle on the spread of rates and whether they are improving."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>date</th> <th>Afghanistan</th> <th>new Afghanistan</th> <th>%new Afghanistan</th> <th>rate Afghanistan</th> <th>active Afghanistan</th> <th>arate Afghanistan</th> <th>Albania</th> <th>new Albania</th> <th>%new Albania</th> <th>rate Albania</th> <th>active Albania</th> <th>arate Albania</th> <th>Algeria</th> <th>new Algeria</th> <th>%new Algeria</th> <th>rate Algeria</th> <th>active Algeria</th> <th>arate Algeria</th> <th>Andorra</th> <th>new Andorra</th> <th>%new Andorra</th> <th>rate Andorra</th> <th>active Andorra</th> <th>arate Andorra</th> <th>Angola</th> <th>new Angola</th> <th>%new Angola</th> <th>rate Angola</th> <th>active Angola</th> <th>arate Angola</th> <th>Antigua and Barbuda</th> <th>new Antigua and Barbuda</th> <th>%new Antigua and Barbuda</th> <th>rate Antigua and Barbuda</th> <th>active Antigua and Barbuda</th> <th>arate Antigua and Barbuda</th> <th>Argentina</th> <th>new Argentina</th> <th>%new Argentina</th> <th>rate Argentina</th> <th>active Argentina</th> <th>arate Argentina</th> <th>Armenia</th> <th>new Armenia</th> <th>%new Armenia</th> <th>rate Armenia</th> <th>active Armenia</th> <th>arate Armenia</th> <th>Australia</th> <th>new Australia</th> <th>%new Australia</th> <th>rate Australia</th> <th>active Australia</th> <th>arate Australia</th> <th>Austria</th> <th>new Austria</th> <th>%new Austria</th> <th>rate Austria</th> <th>active Austria</th> <th>arate Austria</th> <th>Azerbaijan</th> <th>new Azerbaijan</th> <th>%new Azerbaijan</th> <th>rate Azerbaijan</th> <th>active Azerbaijan</th> <th>arate Azerbaijan</th> <th>Bahamas</th> <th>new Bahamas</th> <th>%new Bahamas</th> <th>rate Bahamas</th> <th>active Bahamas</th> <th>arate Bahamas</th> <th>Bahrain</th> <th>new Bahrain</th> <th>%new Bahrain</th> <th>rate Bahrain</th> <th>active Bahrain</th> <th>arate Bahrain</th> <th>Bangladesh</th> <th>new Bangladesh</th> <th>%new Bangladesh</th> <th>rate Bangladesh</th> <th>active Bangladesh</th> <th>arate Bangladesh</th> <th>Barbados</th> <th>new Barbados</th> <th>%new Barbados</th> <th>rate Barbados</th> <th>active Barbados</th> <th>arate Barbados</th> <th>Belarus</th> <th>new Belarus</th> <th>%new Belarus</th> <th>rate Belarus</th> <th>active Belarus</th> <th>arate Belarus</th> <th>Belgium</th> <th>new Belgium</th> <th>%new Belgium</th> <th>rate Belgium</th> <th>active Belgium</th> <th>arate Belgium</th> <th>Belize</th> <th>new Belize</th> <th>%new Belize</th> <th>rate Belize</th> <th>active Belize</th> <th>arate Belize</th> <th>Benin</th> <th>new Benin</th> <th>%new Benin</th> <th>rate Benin</th> <th>active Benin</th> <th>arate Benin</th> <th>Bhutan</th> <th>new Bhutan</th> <th>%new Bhutan</th> <th>rate Bhutan</th> <th>active Bhutan</th> <th>arate Bhutan</th> <th>Bolivia</th> <th>new Bolivia</th> <th>%new Bolivia</th> <th>rate Bolivia</th> <th>active Bolivia</th> <th>arate Bolivia</th> <th>Bosnia and Herzegovina</th> <th>new Bosnia and Herzegovina</th> <th>%new Bosnia and Herzegovina</th> <th>rate Bosnia and Herzegovina</th> <th>active Bosnia and Herzegovina</th> <th>arate Bosnia and Herzegovina</th> <th>Botswana</th> <th>new Botswana</th> <th>%new Botswana</th> <th>rate Botswana</th> <th>active Botswana</th> <th>arate Botswana</th> <th>Brazil</th> <th>new Brazil</th> <th>%new Brazil</th> <th>rate Brazil</th> <th>active Brazil</th> <th>arate Brazil</th> <th>Brunei</th> <th>new Brunei</th> <th>%new Brunei</th> <th>rate Brunei</th> <th>active Brunei</th> <th>arate Brunei</th> <th>Bulgaria</th> <th>new Bulgaria</th> <th>%new Bulgaria</th> <th>rate Bulgaria</th> <th>active Bulgaria</th> <th>arate Bulgaria</th> <th>Burkina Faso</th> <th>new Burkina Faso</th> <th>%new Burkina Faso</th> <th>rate Burkina Faso</th> <th>active Burkina Faso</th> <th>arate Burkina Faso</th> <th>Burma</th> <th>new Burma</th> <th>%new Burma</th> <th>rate Burma</th> <th>active Burma</th> <th>arate Burma</th> <th>Burundi</th> <th>new Burundi</th> <th>%new Burundi</th> <th>rate Burundi</th> <th>active Burundi</th> <th>arate Burundi</th> <th>Cabo Verde</th> <th>new Cabo Verde</th> <th>%new Cabo Verde</th> <th>rate Cabo Verde</th> <th>active Cabo Verde</th> <th>arate Cabo Verde</th> <th>Cambodia</th> <th>new Cambodia</th> <th>%new Cambodia</th> <th>rate Cambodia</th> <th>active Cambodia</th> <th>arate Cambodia</th> <th>Cameroon</th> <th>new Cameroon</th> <th>%new Cameroon</th> <th>rate Cameroon</th> <th>active Cameroon</th> <th>arate Cameroon</th> <th>Canada</th> <th>new Canada</th> <th>%new Canada</th> <th>rate Canada</th> <th>active Canada</th> <th>arate Canada</th> <th>Central African Republic</th> <th>new Central African Republic</th> <th>%new Central African Republic</th> <th>rate Central African Republic</th> <th>active Central African Republic</th> <th>arate Central African Republic</th> <th>Chad</th> <th>new Chad</th> <th>%new Chad</th> <th>rate Chad</th> <th>active Chad</th> <th>arate Chad</th> <th>Chile</th> <th>new Chile</th> <th>%new Chile</th> <th>rate Chile</th> <th>active Chile</th> <th>arate Chile</th> <th>China</th> <th>new China</th> <th>%new China</th> <th>rate China</th> <th>active China</th> <th>arate China</th> <th>Colombia</th> <th>new Colombia</th> <th>%new Colombia</th> <th>rate Colombia</th> <th>active Colombia</th> <th>arate Colombia</th> <th>Comoros</th> <th>new Comoros</th> <th>%new Comoros</th> <th>rate Comoros</th> <th>active Comoros</th> <th>arate Comoros</th> <th>Congo (Brazzaville)</th> <th>new Congo (Brazzaville)</th> <th>%new Congo (Brazzaville)</th> <th>rate Congo (Brazzaville)</th> <th>active Congo (Brazzaville)</th> <th>arate Congo (Brazzaville)</th> <th>Congo (Kinshasa)</th> <th>new Congo (Kinshasa)</th> <th>%new Congo (Kinshasa)</th> <th>rate Congo (Kinshasa)</th> <th>active Congo (Kinshasa)</th> <th>arate Congo (Kinshasa)</th> <th>Costa Rica</th> <th>new Costa Rica</th> <th>%new Costa Rica</th> <th>rate Costa Rica</th> <th>active Costa Rica</th> <th>arate Costa Rica</th> <th>Cote d'Ivoire</th> <th>new Cote d'Ivoire</th> <th>%new Cote d'Ivoire</th> <th>rate Cote d'Ivoire</th> <th>active Cote d'Ivoire</th> <th>arate Cote d'Ivoire</th> <th>Croatia</th> <th>new Croatia</th> <th>%new Croatia</th> <th>rate Croatia</th> <th>active Croatia</th> <th>arate Croatia</th> <th>Cuba</th> <th>new Cuba</th> <th>%new Cuba</th> <th>rate Cuba</th> <th>active Cuba</th> <th>arate Cuba</th> <th>Cyprus</th> <th>new Cyprus</th> <th>%new Cyprus</th> <th>rate Cyprus</th> <th>active Cyprus</th> <th>arate Cyprus</th> <th>Czechia</th> <th>new Czechia</th> <th>%new Czechia</th> <th>rate Czechia</th> <th>active Czechia</th> <th>arate Czechia</th> <th>Denmark</th> <th>new Denmark</th> <th>%new Denmark</th> <th>rate Denmark</th> <th>active Denmark</th> <th>arate Denmark</th> <th>Diamond Princess</th> <th>new Diamond Princess</th> <th>%new Diamond Princess</th> <th>rate Diamond Princess</th> <th>active Diamond Princess</th> <th>arate Diamond Princess</th> <th>Djibouti</th> <th>new Djibouti</th> <th>%new Djibouti</th> <th>rate Djibouti</th> <th>active Djibouti</th> <th>arate Djibouti</th> <th>Dominica</th> <th>new Dominica</th> <th>%new Dominica</th> <th>rate Dominica</th> <th>active Dominica</th> <th>arate Dominica</th> <th>Dominican Republic</th> <th>new Dominican Republic</th> <th>%new Dominican Republic</th> <th>rate Dominican Republic</th> <th>active Dominican Republic</th> <th>arate Dominican Republic</th> <th>Ecuador</th> <th>new Ecuador</th> <th>%new Ecuador</th> <th>rate Ecuador</th> <th>active Ecuador</th> <th>arate Ecuador</th> <th>Egypt</th> <th>new Egypt</th> <th>%new Egypt</th> <th>rate Egypt</th> <th>active Egypt</th> <th>arate Egypt</th> <th>El Salvador</th> <th>new El Salvador</th> <th>%new El Salvador</th> <th>rate El Salvador</th> <th>active El Salvador</th> <th>arate El Salvador</th> <th>Equatorial Guinea</th> <th>new Equatorial Guinea</th> <th>%new Equatorial Guinea</th> <th>rate Equatorial Guinea</th> <th>active Equatorial Guinea</th> <th>arate Equatorial Guinea</th> <th>Eritrea</th> <th>new Eritrea</th> <th>%new Eritrea</th> <th>rate Eritrea</th> <th>active Eritrea</th> <th>arate Eritrea</th> <th>Estonia</th> <th>new Estonia</th> <th>%new Estonia</th> <th>rate Estonia</th> <th>active Estonia</th> <th>arate Estonia</th> <th>Eswatini</th> <th>new Eswatini</th> <th>%new Eswatini</th> <th>rate Eswatini</th> <th>active Eswatini</th> <th>arate Eswatini</th> <th>Ethiopia</th> <th>new Ethiopia</th> <th>%new Ethiopia</th> <th>rate Ethiopia</th> <th>active Ethiopia</th> <th>arate Ethiopia</th> <th>Fiji</th> <th>new Fiji</th> <th>%new Fiji</th> <th>rate Fiji</th> <th>active Fiji</th> <th>arate Fiji</th> <th>Finland</th> <th>new Finland</th> <th>%new Finland</th> <th>rate Finland</th> <th>active Finland</th> <th>arate Finland</th> <th>France</th> <th>new France</th> <th>%new France</th> <th>rate France</th> <th>active France</th> <th>arate France</th> <th>Gabon</th> <th>new Gabon</th> <th>%new Gabon</th> <th>rate Gabon</th> <th>active Gabon</th> <th>arate Gabon</th> <th>Gambia</th> <th>new Gambia</th> <th>%new Gambia</th> <th>rate Gambia</th> <th>active Gambia</th> <th>arate Gambia</th> <th>Georgia</th> <th>new Georgia</th> <th>%new Georgia</th> <th>rate Georgia</th> <th>active Georgia</th> <th>arate Georgia</th> <th>Germany</th> <th>new Germany</th> <th>%new Germany</th> <th>rate Germany</th> <th>active Germany</th> <th>arate Germany</th> <th>Ghana</th> <th>new Ghana</th> <th>%new Ghana</th> <th>rate Ghana</th> <th>active Ghana</th> <th>arate Ghana</th> <th>Greece</th> <th>new Greece</th> <th>%new Greece</th> <th>rate Greece</th> <th>active Greece</th> <th>arate Greece</th> <th>Grenada</th> <th>new Grenada</th> <th>%new Grenada</th> <th>rate Grenada</th> <th>active Grenada</th> <th>arate Grenada</th> <th>Guatemala</th> <th>new Guatemala</th> <th>%new Guatemala</th> <th>rate Guatemala</th> <th>active Guatemala</th> <th>arate Guatemala</th> <th>Guinea</th> <th>new Guinea</th> <th>%new Guinea</th> <th>rate Guinea</th> <th>active Guinea</th> <th>arate Guinea</th> <th>Guinea-Bissau</th> <th>new Guinea-Bissau</th> <th>%new Guinea-Bissau</th> <th>rate Guinea-Bissau</th> <th>active Guinea-Bissau</th> <th>arate Guinea-Bissau</th> <th>Guyana</th> <th>new Guyana</th> <th>%new Guyana</th> <th>rate Guyana</th> <th>active Guyana</th> <th>arate Guyana</th> <th>Haiti</th> <th>new Haiti</th> <th>%new Haiti</th> <th>rate Haiti</th> <th>active Haiti</th> <th>arate Haiti</th> <th>Holy See</th> <th>new Holy See</th> <th>%new Holy See</th> <th>rate Holy See</th> <th>active Holy See</th> <th>arate Holy See</th> <th>Honduras</th> <th>new Honduras</th> <th>%new Honduras</th> <th>rate Honduras</th> <th>active Honduras</th> <th>arate Honduras</th> <th>Hungary</th> <th>new Hungary</th> <th>%new Hungary</th> <th>rate Hungary</th> <th>active Hungary</th> <th>arate Hungary</th> <th>Iceland</th> <th>new Iceland</th> <th>%new Iceland</th> <th>rate Iceland</th> <th>active Iceland</th> <th>arate Iceland</th> <th>India</th> <th>new India</th> <th>%new India</th> <th>rate India</th> <th>active India</th> <th>arate India</th> <th>Indonesia</th> <th>new Indonesia</th> <th>%new Indonesia</th> <th>rate Indonesia</th> <th>active Indonesia</th> <th>arate Indonesia</th> <th>Iran</th> <th>new Iran</th> <th>%new Iran</th> <th>rate Iran</th> <th>active Iran</th> <th>arate Iran</th> <th>Iraq</th> <th>new Iraq</th> <th>%new Iraq</th> <th>rate Iraq</th> <th>active Iraq</th> <th>arate Iraq</th> <th>Ireland</th> <th>new Ireland</th> <th>%new Ireland</th> <th>rate Ireland</th> <th>active Ireland</th> <th>arate Ireland</th> <th>Israel</th> <th>new Israel</th> <th>%new Israel</th> <th>rate Israel</th> <th>active Israel</th> <th>arate Israel</th> <th>Italy</th> <th>new Italy</th> <th>%new Italy</th> <th>rate Italy</th> <th>active Italy</th> <th>arate Italy</th> <th>Jamaica</th> <th>new Jamaica</th> <th>%new Jamaica</th> <th>rate Jamaica</th> <th>active Jamaica</th> <th>arate Jamaica</th> <th>Japan</th> <th>new Japan</th> <th>%new Japan</th> <th>rate Japan</th> <th>active Japan</th> <th>arate Japan</th> <th>Jordan</th> <th>new Jordan</th> <th>%new Jordan</th> <th>rate Jordan</th> <th>active Jordan</th> <th>arate Jordan</th> <th>Kazakhstan</th> <th>new Kazakhstan</th> <th>%new Kazakhstan</th> <th>rate Kazakhstan</th> <th>active Kazakhstan</th> <th>arate Kazakhstan</th> <th>Kenya</th> <th>new Kenya</th> <th>%new Kenya</th> <th>rate Kenya</th> <th>active Kenya</th> <th>arate Kenya</th> <th>Korea, South</th> <th>new Korea, South</th> <th>%new Korea, South</th> <th>rate Korea, South</th> <th>active Korea, South</th> <th>arate Korea, South</th> <th>Kosovo</th> <th>new Kosovo</th> <th>%new Kosovo</th> <th>rate Kosovo</th> <th>active Kosovo</th> <th>arate Kosovo</th> <th>Kuwait</th> <th>new Kuwait</th> <th>%new Kuwait</th> <th>rate Kuwait</th> <th>active Kuwait</th> <th>arate Kuwait</th> <th>Kyrgyzstan</th> <th>new Kyrgyzstan</th> <th>%new Kyrgyzstan</th> <th>rate Kyrgyzstan</th> <th>active Kyrgyzstan</th> <th>arate Kyrgyzstan</th> <th>Laos</th> <th>new Laos</th> <th>%new Laos</th> <th>rate Laos</th> <th>active Laos</th> <th>arate Laos</th> <th>Latvia</th> <th>new Latvia</th> <th>%new Latvia</th> <th>rate Latvia</th> <th>active Latvia</th> <th>arate Latvia</th> <th>Lebanon</th> <th>new Lebanon</th> <th>%new Lebanon</th> <th>rate Lebanon</th> <th>active Lebanon</th> <th>arate Lebanon</th> <th>Lesotho</th> <th>new Lesotho</th> <th>%new Lesotho</th> <th>rate Lesotho</th> <th>active Lesotho</th> <th>arate Lesotho</th> <th>Liberia</th> <th>new Liberia</th> <th>%new Liberia</th> <th>rate Liberia</th> <th>active Liberia</th> <th>arate Liberia</th> <th>Libya</th> <th>new Libya</th> <th>%new Libya</th> <th>rate Libya</th> <th>active Libya</th> <th>arate Libya</th> <th>Liechtenstein</th> <th>new Liechtenstein</th> <th>%new Liechtenstein</th> <th>rate Liechtenstein</th> <th>active Liechtenstein</th> <th>arate Liechtenstein</th> <th>Lithuania</th> <th>new Lithuania</th> <th>%new Lithuania</th> <th>rate Lithuania</th> <th>active Lithuania</th> <th>arate Lithuania</th> <th>Luxembourg</th> <th>new Luxembourg</th> <th>%new Luxembourg</th> <th>rate Luxembourg</th> <th>active Luxembourg</th> <th>arate Luxembourg</th> <th>MS Zaandam</th> <th>new MS Zaandam</th> <th>%new MS Zaandam</th> <th>rate MS Zaandam</th> <th>active MS Zaandam</th> <th>arate MS Zaandam</th> <th>Madagascar</th> <th>new Madagascar</th> <th>%new Madagascar</th> <th>rate Madagascar</th> <th>active Madagascar</th> <th>arate Madagascar</th> <th>Malawi</th> <th>new Malawi</th> <th>%new Malawi</th> <th>rate Malawi</th> <th>active Malawi</th> <th>arate Malawi</th> <th>Malaysia</th> <th>new Malaysia</th> <th>%new Malaysia</th> <th>rate Malaysia</th> <th>active Malaysia</th> <th>arate Malaysia</th> <th>Maldives</th> <th>new Maldives</th> <th>%new Maldives</th> <th>rate Maldives</th> <th>active Maldives</th> <th>arate Maldives</th> <th>Mali</th> <th>new Mali</th> <th>%new Mali</th> <th>rate Mali</th> <th>active Mali</th> <th>arate Mali</th> <th>Malta</th> <th>new Malta</th> <th>%new Malta</th> <th>rate Malta</th> <th>active Malta</th> <th>arate Malta</th> <th>Mauritania</th> <th>new Mauritania</th> <th>%new Mauritania</th> <th>rate Mauritania</th> <th>active Mauritania</th> <th>arate Mauritania</th> <th>Mauritius</th> <th>new Mauritius</th> <th>%new Mauritius</th> <th>rate Mauritius</th> <th>active Mauritius</th> <th>arate Mauritius</th> <th>Mexico</th> <th>new Mexico</th> <th>%new Mexico</th> <th>rate Mexico</th> <th>active Mexico</th> <th>arate Mexico</th> <th>Moldova</th> <th>new Moldova</th> <th>%new Moldova</th> <th>rate Moldova</th> <th>active Moldova</th> <th>arate Moldova</th> <th>Monaco</th> <th>new Monaco</th> <th>%new Monaco</th> <th>rate Monaco</th> <th>active Monaco</th> <th>arate Monaco</th> <th>Mongolia</th> <th>new Mongolia</th> <th>%new Mongolia</th> <th>rate Mongolia</th> <th>active Mongolia</th> <th>arate Mongolia</th> <th>Montenegro</th> <th>new Montenegro</th> <th>%new Montenegro</th> <th>rate Montenegro</th> <th>active Montenegro</th> <th>arate Montenegro</th> <th>Morocco</th> <th>new Morocco</th> <th>%new Morocco</th> <th>rate Morocco</th> <th>active Morocco</th> <th>arate Morocco</th> <th>Mozambique</th> <th>new Mozambique</th> <th>%new Mozambique</th> <th>rate Mozambique</th> <th>active Mozambique</th> <th>arate Mozambique</th> <th>Namibia</th> <th>new Namibia</th> <th>%new Namibia</th> <th>rate Namibia</th> <th>active Namibia</th> <th>arate Namibia</th> <th>Nepal</th> <th>new Nepal</th> <th>%new Nepal</th> <th>rate Nepal</th> <th>active Nepal</th> <th>arate Nepal</th> <th>Netherlands</th> <th>new Netherlands</th> <th>%new Netherlands</th> <th>rate Netherlands</th> <th>active Netherlands</th> <th>arate Netherlands</th> <th>New Zealand</th> <th>new New Zealand</th> <th>%new New Zealand</th> <th>rate New Zealand</th> <th>active New Zealand</th> <th>arate New Zealand</th> <th>Nicaragua</th> <th>new Nicaragua</th> <th>%new Nicaragua</th> <th>rate Nicaragua</th> <th>active Nicaragua</th> <th>arate Nicaragua</th> <th>Niger</th> <th>new Niger</th> <th>%new Niger</th> <th>rate Niger</th> <th>active Niger</th> <th>arate Niger</th> <th>Nigeria</th> <th>new Nigeria</th> <th>%new Nigeria</th> <th>rate Nigeria</th> <th>active Nigeria</th> <th>arate Nigeria</th> <th>North Macedonia</th> <th>new North Macedonia</th> <th>%new North Macedonia</th> <th>rate North Macedonia</th> <th>active North Macedonia</th> <th>arate North Macedonia</th> <th>Norway</th> <th>new Norway</th> <th>%new Norway</th> <th>rate Norway</th> <th>active Norway</th> <th>arate Norway</th> <th>Oman</th> <th>new Oman</th> <th>%new Oman</th> <th>rate Oman</th> <th>active Oman</th> <th>arate Oman</th> <th>Pakistan</th> <th>new Pakistan</th> <th>%new Pakistan</th> <th>rate Pakistan</th> <th>active Pakistan</th> <th>arate Pakistan</th> <th>Panama</th> <th>new Panama</th> <th>%new Panama</th> <th>rate Panama</th> <th>active Panama</th> <th>arate Panama</th> <th>Papua New Guinea</th> <th>new Papua New Guinea</th> <th>%new Papua New Guinea</th> <th>rate Papua New Guinea</th> <th>active Papua New Guinea</th> <th>arate Papua New Guinea</th> <th>Paraguay</th> <th>new Paraguay</th> <th>%new Paraguay</th> <th>rate Paraguay</th> <th>active Paraguay</th> <th>arate Paraguay</th> <th>Peru</th> <th>new Peru</th> <th>%new Peru</th> <th>rate Peru</th> <th>active Peru</th> <th>arate Peru</th> <th>Philippines</th> <th>new Philippines</th> <th>%new Philippines</th> <th>rate Philippines</th> <th>active Philippines</th> <th>arate Philippines</th> <th>Poland</th> <th>new Poland</th> <th>%new Poland</th> <th>rate Poland</th> <th>active Poland</th> <th>arate Poland</th> <th>Portugal</th> <th>new Portugal</th> <th>%new Portugal</th> <th>rate Portugal</th> <th>active Portugal</th> <th>arate Portugal</th> <th>Qatar</th> <th>new Qatar</th> <th>%new Qatar</th> <th>rate Qatar</th> <th>active Qatar</th> <th>arate Qatar</th> <th>Romania</th> <th>new Romania</th> <th>%new Romania</th> <th>rate Romania</th> <th>active Romania</th> <th>arate Romania</th> <th>Russia</th> <th>new Russia</th> <th>%new Russia</th> <th>rate Russia</th> <th>active Russia</th> <th>arate Russia</th> <th>Rwanda</th> <th>new Rwanda</th> <th>%new Rwanda</th> <th>rate Rwanda</th> <th>active Rwanda</th> <th>arate Rwanda</th> <th>Saint Kitts and Nevis</th> <th>new Saint Kitts and Nevis</th> <th>%new Saint Kitts and Nevis</th> <th>rate Saint Kitts and Nevis</th> <th>active Saint Kitts and Nevis</th> <th>arate Saint Kitts and Nevis</th> <th>Saint Lucia</th> <th>new Saint Lucia</th> <th>%new Saint Lucia</th> <th>rate Saint Lucia</th> <th>active Saint Lucia</th> <th>arate Saint Lucia</th> <th>Saint Vincent and the Grenadines</th> <th>new Saint Vincent and the Grenadines</th> <th>%new Saint Vincent and the Grenadines</th> <th>rate Saint Vincent and the Grenadines</th> <th>active Saint Vincent and the Grenadines</th> <th>arate Saint Vincent and the Grenadines</th> <th>San Marino</th> <th>new San Marino</th> <th>%new San Marino</th> <th>rate San Marino</th> <th>active San Marino</th> <th>arate San Marino</th> <th>Sao Tome and Principe</th> <th>new Sao Tome and Principe</th> <th>%new Sao Tome and Principe</th> <th>rate Sao Tome and Principe</th> <th>active Sao Tome and Principe</th> <th>arate Sao Tome and Principe</th> <th>Saudi Arabia</th> <th>new Saudi Arabia</th> <th>%new Saudi Arabia</th> <th>rate Saudi Arabia</th> <th>active Saudi Arabia</th> <th>arate Saudi Arabia</th> <th>Senegal</th> <th>new Senegal</th> <th>%new Senegal</th> <th>rate Senegal</th> <th>active Senegal</th> <th>arate Senegal</th> <th>Serbia</th> <th>new Serbia</th> <th>%new Serbia</th> <th>rate Serbia</th> <th>active Serbia</th> <th>arate Serbia</th> <th>Seychelles</th> <th>new Seychelles</th> <th>%new Seychelles</th> <th>rate Seychelles</th> <th>active Seychelles</th> <th>arate Seychelles</th> <th>Sierra Leone</th> <th>new Sierra Leone</th> <th>%new Sierra Leone</th> <th>rate Sierra Leone</th> <th>active Sierra Leone</th> <th>arate Sierra Leone</th> <th>Singapore</th> <th>new Singapore</th> <th>%new Singapore</th> <th>rate Singapore</th> <th>active Singapore</th> <th>arate Singapore</th> <th>Slovakia</th> <th>new Slovakia</th> <th>%new Slovakia</th> <th>rate Slovakia</th> <th>active Slovakia</th> <th>arate Slovakia</th> <th>Slovenia</th> <th>new Slovenia</th> <th>%new Slovenia</th> <th>rate Slovenia</th> <th>active Slovenia</th> <th>arate Slovenia</th> <th>Somalia</th> <th>new Somalia</th> <th>%new Somalia</th> <th>rate Somalia</th> <th>active Somalia</th> <th>arate Somalia</th> <th>South Africa</th> <th>new South Africa</th> <th>%new South Africa</th> <th>rate South Africa</th> <th>active South Africa</th> <th>arate South Africa</th> <th>South Sudan</th> <th>new South Sudan</th> <th>%new South Sudan</th> <th>rate South Sudan</th> <th>active South Sudan</th> <th>arate South Sudan</th> <th>Spain</th> <th>new Spain</th> <th>%new Spain</th> <th>rate Spain</th> <th>active Spain</th> <th>arate Spain</th> <th>Sri Lanka</th> <th>new Sri Lanka</th> <th>%new Sri Lanka</th> <th>rate Sri Lanka</th> <th>active Sri Lanka</th> <th>arate Sri Lanka</th> <th>Sudan</th> <th>new Sudan</th> <th>%new Sudan</th> <th>rate Sudan</th> <th>active Sudan</th> <th>arate Sudan</th> <th>Suriname</th> <th>new Suriname</th> <th>%new Suriname</th> <th>rate Suriname</th> <th>active Suriname</th> <th>arate Suriname</th> <th>Sweden</th> <th>new Sweden</th> <th>%new Sweden</th> <th>rate Sweden</th> <th>active Sweden</th> <th>arate Sweden</th> <th>Switzerland</th> <th>new Switzerland</th> <th>%new Switzerland</th> <th>rate Switzerland</th> <th>active Switzerland</th> <th>arate Switzerland</th> <th>Syria</th> <th>new Syria</th> <th>%new Syria</th> <th>rate Syria</th> <th>active Syria</th> <th>arate Syria</th> <th>Taiwan*</th> <th>new Taiwan*</th> <th>%new Taiwan*</th> <th>rate Taiwan*</th> <th>active Taiwan*</th> <th>arate Taiwan*</th> <th>Tajikistan</th> <th>new Tajikistan</th> <th>%new Tajikistan</th> <th>rate Tajikistan</th> <th>active Tajikistan</th> <th>arate Tajikistan</th> <th>Tanzania</th> <th>new Tanzania</th> <th>%new Tanzania</th> <th>rate Tanzania</th> <th>active Tanzania</th> <th>arate Tanzania</th> <th>Thailand</th> <th>new Thailand</th> <th>%new Thailand</th> <th>rate Thailand</th> <th>active Thailand</th> <th>arate Thailand</th> <th>Timor-Leste</th> <th>new Timor-Leste</th> <th>%new Timor-Leste</th> <th>rate Timor-Leste</th> <th>active Timor-Leste</th> <th>arate Timor-Leste</th> <th>Togo</th> <th>new Togo</th> <th>%new Togo</th> <th>rate Togo</th> <th>active Togo</th> <th>arate Togo</th> <th>Trinidad and Tobago</th> <th>new Trinidad and Tobago</th> <th>%new Trinidad and Tobago</th> <th>rate Trinidad and Tobago</th> <th>active Trinidad and Tobago</th> <th>arate Trinidad and Tobago</th> <th>Tunisia</th> <th>new Tunisia</th> <th>%new Tunisia</th> <th>rate Tunisia</th> <th>active Tunisia</th> <th>arate Tunisia</th> <th>Turkey</th> <th>new Turkey</th> <th>%new Turkey</th> <th>rate Turkey</th> <th>active Turkey</th> <th>arate Turkey</th> <th>US</th> <th>new US</th> <th>%new US</th> <th>rate US</th> <th>active US</th> <th>arate US</th> <th>Uganda</th> <th>new Uganda</th> <th>%new Uganda</th> <th>rate Uganda</th> <th>active Uganda</th> <th>arate Uganda</th> <th>Ukraine</th> <th>new Ukraine</th> <th>%new Ukraine</th> <th>rate Ukraine</th> <th>active Ukraine</th> <th>arate Ukraine</th> <th>United Arab Emirates</th> <th>new United Arab Emirates</th> <th>%new United Arab Emirates</th> <th>rate United Arab Emirates</th> <th>active United Arab Emirates</th> <th>arate United Arab Emirates</th> <th>United Kingdom</th> <th>new United Kingdom</th> <th>%new United Kingdom</th> <th>rate United Kingdom</th> <th>active United Kingdom</th> <th>arate United Kingdom</th> <th>Uruguay</th> <th>new Uruguay</th> <th>%new Uruguay</th> <th>rate Uruguay</th> <th>active Uruguay</th> <th>arate Uruguay</th> <th>Uzbekistan</th> <th>new Uzbekistan</th> <th>%new Uzbekistan</th> <th>rate Uzbekistan</th> <th>active Uzbekistan</th> <th>arate Uzbekistan</th> <th>Venezuela</th> <th>new Venezuela</th> <th>%new Venezuela</th> <th>rate Venezuela</th> <th>active Venezuela</th> <th>arate Venezuela</th> <th>Vietnam</th> <th>new Vietnam</th> <th>%new Vietnam</th> <th>rate Vietnam</th> <th>active Vietnam</th> <th>arate Vietnam</th> <th>West Bank and Gaza</th> <th>new West Bank and Gaza</th> <th>%new West Bank and Gaza</th> <th>rate West Bank and Gaza</th> <th>active West Bank and Gaza</th> <th>arate West Bank and Gaza</th> <th>Western Sahara</th> <th>new Western Sahara</th> <th>%new Western Sahara</th> <th>rate Western Sahara</th> <th>active Western Sahara</th> <th>arate Western Sahara</th> <th>Yemen</th> <th>new Yemen</th> <th>%new Yemen</th> <th>rate Yemen</th> <th>active Yemen</th> <th>arate Yemen</th> <th>Zambia</th> <th>new Zambia</th> <th>%new Zambia</th> <th>rate Zambia</th> <th>active Zambia</th> <th>arate Zambia</th> <th>Zimbabwe</th> <th>new Zimbabwe</th> <th>%new Zimbabwe</th> <th>rate Zimbabwe</th> <th>active Zimbabwe</th> <th>arate Zimbabwe</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>01/22/20</td> <td>0          </td> <td>nan            </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                  </td> <td>nan                    </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0        </td> <td>nan          </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>nan          </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                     </td> <td>nan                       </td> <td>nan%                       </td> <td>nan                        </td> <td>0                            </td> <td>nan                         </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0           </td> <td>nan             </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                       </td> <td>nan                         </td> <td>nan%                         </td> <td>nan                          </td> <td>0                              </td> <td>nan                           </td> <td>0   </td> <td>nan     </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>548  </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                  </td> <td>nan                    </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0               </td> <td>nan                 </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0            </td> <td>nan              </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0   </td> <td>nan     </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0               </td> <td>nan                 </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0                 </td> <td>nan                   </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>nan            </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                </td> <td>nan                  </td> <td>nan%                  </td> <td>nan                   </td> <td>0                       </td> <td>nan                    </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>nan     </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>nan          </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0            </td> <td>nan              </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>nan          </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0   </td> <td>nan     </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0   </td> <td>nan     </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>2    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>1           </td> <td>nan             </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0   </td> <td>nan     </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0            </td> <td>nan              </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0        </td> <td>nan          </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>nan     </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>nan          </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>nan            </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0          </td> <td>nan            </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0        </td> <td>nan          </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0              </td> <td>nan                </td> <td>nan%                </td> <td>nan                 </td> <td>0                     </td> <td>nan                  </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0   </td> <td>nan     </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0               </td> <td>nan                 </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>nan     </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0          </td> <td>nan            </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                    </td> <td>nan                      </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0          </td> <td>nan            </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                               </td> <td>nan                                 </td> <td>nan%                                 </td> <td>nan                                  </td> <td>0                                      </td> <td>nan                                   </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0                    </td> <td>nan                      </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0           </td> <td>nan             </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0           </td> <td>nan             </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0        </td> <td>nan          </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0           </td> <td>nan             </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0          </td> <td>nan            </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>nan          </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0          </td> <td>nan            </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>1      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>2       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0          </td> <td>nan            </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0   </td> <td>nan     </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0                  </td> <td>nan                    </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>1   </td> <td>nan   </td> <td>nan%   </td> <td>nan    </td> <td>0        </td> <td>nan     </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                   </td> <td>nan                     </td> <td>nan%                     </td> <td>nan                      </td> <td>0                          </td> <td>nan                       </td> <td>0             </td> <td>nan               </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>nan           </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>nan          </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>nan        </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                 </td> <td>nan                   </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0             </td> <td>nan               </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0    </td> <td>nan      </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>nan       </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>nan         </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>01/23/20</td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                     </td> <td>0                         </td> <td>nan%                       </td> <td>nan                        </td> <td>0                            </td> <td>nan                         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                       </td> <td>0                           </td> <td>nan%                         </td> <td>nan                          </td> <td>0                              </td> <td>nan                           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>643  </td> <td>95       </td> <td>14.77%    </td> <td>1.17336   </td> <td>95          </td> <td>1          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                </td> <td>0                    </td> <td>nan%                  </td> <td>nan                   </td> <td>0                       </td> <td>nan                    </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>2    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>1           </td> <td>0               </td> <td>0.00%            </td> <td>1                </td> <td>0                  </td> <td>nan               </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0              </td> <td>0                  </td> <td>nan%                </td> <td>nan                 </td> <td>0                     </td> <td>nan                  </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                               </td> <td>0                                   </td> <td>nan%                                 </td> <td>nan                                  </td> <td>0                                      </td> <td>nan                                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>1        </td> <td>1            </td> <td>100.00%       </td> <td>inf           </td> <td>1               </td> <td>1              </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>1      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>3       </td> <td>1           </td> <td>33.33%       </td> <td>1.5          </td> <td>1              </td> <td>1             </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>1   </td> <td>0     </td> <td>0.00%  </td> <td>1      </td> <td>0        </td> <td>nan     </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                   </td> <td>0                       </td> <td>nan%                     </td> <td>nan                      </td> <td>0                          </td> <td>nan                       </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>2      </td> <td>2          </td> <td>100.00%     </td> <td>inf         </td> <td>2             </td> <td>1            </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>01/24/20</td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                     </td> <td>0                         </td> <td>nan%                       </td> <td>nan                        </td> <td>0                            </td> <td>nan                         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                       </td> <td>0                           </td> <td>nan%                         </td> <td>nan                          </td> <td>0                              </td> <td>nan                           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>920  </td> <td>277      </td> <td>30.11%    </td> <td>1.43079   </td> <td>372         </td> <td>0.744624   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                </td> <td>0                    </td> <td>nan%                  </td> <td>nan                   </td> <td>0                       </td> <td>nan                    </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>2     </td> <td>2         </td> <td>100.00%    </td> <td>inf        </td> <td>2            </td> <td>1           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>2    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>2           </td> <td>1               </td> <td>50.00%           </td> <td>2                </td> <td>1                  </td> <td>1                 </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0              </td> <td>0                  </td> <td>nan%                </td> <td>nan                 </td> <td>0                     </td> <td>nan                  </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                               </td> <td>0                                   </td> <td>nan%                                 </td> <td>nan                                  </td> <td>0                                      </td> <td>nan                                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>3        </td> <td>2            </td> <td>66.67%        </td> <td>3             </td> <td>3               </td> <td>0.666667       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>3      </td> <td>2          </td> <td>66.67%      </td> <td>3           </td> <td>2             </td> <td>1            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>5       </td> <td>2           </td> <td>40.00%       </td> <td>1.66667      </td> <td>3              </td> <td>0.666667      </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>2   </td> <td>1     </td> <td>50.00% </td> <td>2      </td> <td>1        </td> <td>1       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                   </td> <td>0                       </td> <td>nan%                     </td> <td>nan                      </td> <td>0                          </td> <td>nan                       </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>2      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>2             </td> <td>0            </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>01/25/20</td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                     </td> <td>0                         </td> <td>nan%                       </td> <td>nan                        </td> <td>0                            </td> <td>nan                         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                       </td> <td>0                           </td> <td>nan%                         </td> <td>nan                          </td> <td>0                              </td> <td>nan                           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>1406 </td> <td>486      </td> <td>34.57%    </td> <td>1.52826   </td> <td>858         </td> <td>0.566434   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                </td> <td>0                    </td> <td>nan%                  </td> <td>nan                   </td> <td>0                       </td> <td>nan                    </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>3     </td> <td>1         </td> <td>33.33%     </td> <td>1.5        </td> <td>3            </td> <td>0.333333    </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>2    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>2           </td> <td>0               </td> <td>0.00%            </td> <td>1                </td> <td>1                  </td> <td>0                 </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>3       </td> <td>3           </td> <td>100.00%      </td> <td>inf          </td> <td>3              </td> <td>1             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>1    </td> <td>1        </td> <td>100.00%   </td> <td>inf       </td> <td>1           </td> <td>1          </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0              </td> <td>0                  </td> <td>nan%                </td> <td>nan                 </td> <td>0                     </td> <td>nan                  </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                               </td> <td>0                                   </td> <td>nan%                                 </td> <td>nan                                  </td> <td>0                                      </td> <td>nan                                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>3        </td> <td>0            </td> <td>0.00%         </td> <td>1             </td> <td>3               </td> <td>0              </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>3      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>2             </td> <td>0            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>7       </td> <td>2           </td> <td>28.57%       </td> <td>1.4          </td> <td>5              </td> <td>0.4           </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>2   </td> <td>0     </td> <td>0.00%  </td> <td>1      </td> <td>1        </td> <td>0       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                   </td> <td>0                       </td> <td>nan%                     </td> <td>nan                      </td> <td>0                          </td> <td>nan                       </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>2      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>2             </td> <td>0            </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>01/26/20</td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>4        </td> <td>4            </td> <td>100.00%       </td> <td>inf           </td> <td>4               </td> <td>1              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                     </td> <td>0                         </td> <td>nan%                       </td> <td>nan                        </td> <td>0                            </td> <td>nan                         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>1     </td> <td>1         </td> <td>100.00%    </td> <td>inf        </td> <td>1            </td> <td>1           </td> <td>0                       </td> <td>0                           </td> <td>nan%                         </td> <td>nan                          </td> <td>0                              </td> <td>nan                           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>2075 </td> <td>669      </td> <td>32.24%    </td> <td>1.47582   </td> <td>1527        </td> <td>0.438114   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                </td> <td>0                    </td> <td>nan%                  </td> <td>nan                   </td> <td>0                       </td> <td>nan                    </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>3     </td> <td>0         </td> <td>0.00%      </td> <td>1          </td> <td>3            </td> <td>0           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>4    </td> <td>2        </td> <td>50.00%    </td> <td>2         </td> <td>2           </td> <td>1          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>3           </td> <td>1               </td> <td>33.33%           </td> <td>1.5              </td> <td>2                  </td> <td>0.5               </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>4       </td> <td>1           </td> <td>25.00%       </td> <td>1.33333      </td> <td>4              </td> <td>0.25          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>1    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>1           </td> <td>0          </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0              </td> <td>0                  </td> <td>nan%                </td> <td>nan                 </td> <td>0                     </td> <td>nan                  </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                               </td> <td>0                                   </td> <td>nan%                                 </td> <td>nan                                  </td> <td>0                                      </td> <td>nan                                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>4        </td> <td>1            </td> <td>25.00%        </td> <td>1.33333       </td> <td>4               </td> <td>0.25           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>4      </td> <td>1          </td> <td>25.00%      </td> <td>1.33333     </td> <td>3             </td> <td>0.333333     </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>8       </td> <td>1           </td> <td>12.50%       </td> <td>1.14286      </td> <td>6              </td> <td>0.166667      </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>5   </td> <td>3     </td> <td>60.00% </td> <td>2.5    </td> <td>4        </td> <td>0.75    </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                   </td> <td>0                       </td> <td>nan%                     </td> <td>nan                      </td> <td>0                          </td> <td>nan                       </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>2      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>2             </td> <td>0            </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>01/27/20</td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>5        </td> <td>1            </td> <td>20.00%        </td> <td>1.25          </td> <td>5               </td> <td>0.2            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                     </td> <td>0                         </td> <td>nan%                       </td> <td>nan                        </td> <td>0                            </td> <td>nan                         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>1       </td> <td>1           </td> <td>100.00%      </td> <td>inf          </td> <td>1              </td> <td>1             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>1     </td> <td>0         </td> <td>0.00%      </td> <td>1          </td> <td>1            </td> <td>0           </td> <td>0                       </td> <td>0                           </td> <td>nan%                         </td> <td>nan                          </td> <td>0                              </td> <td>nan                           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>2877 </td> <td>802      </td> <td>27.88%    </td> <td>1.38651   </td> <td>2329        </td> <td>0.344354   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                </td> <td>0                    </td> <td>nan%                  </td> <td>nan                   </td> <td>0                       </td> <td>nan                    </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>3     </td> <td>0         </td> <td>0.00%      </td> <td>1          </td> <td>3            </td> <td>0           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>1      </td> <td>1          </td> <td>100.00%     </td> <td>inf         </td> <td>1             </td> <td>1            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>4    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>2           </td> <td>0          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>4           </td> <td>1               </td> <td>25.00%           </td> <td>1.33333          </td> <td>3                  </td> <td>0.333333          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>4       </td> <td>0           </td> <td>0.00%        </td> <td>1            </td> <td>4              </td> <td>0             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>1    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>1           </td> <td>0          </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0              </td> <td>0                  </td> <td>nan%                </td> <td>nan                 </td> <td>0                     </td> <td>nan                  </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                               </td> <td>0                                   </td> <td>nan%                                 </td> <td>nan                                  </td> <td>0                                      </td> <td>nan                                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>5        </td> <td>1            </td> <td>20.00%        </td> <td>1.25          </td> <td>5               </td> <td>0.2            </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>1        </td> <td>1            </td> <td>100.00%       </td> <td>inf           </td> <td>1               </td> <td>1              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>5      </td> <td>1          </td> <td>20.00%      </td> <td>1.25        </td> <td>4             </td> <td>0.25         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>8       </td> <td>0           </td> <td>0.00%        </td> <td>1            </td> <td>6              </td> <td>0             </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>5   </td> <td>0     </td> <td>0.00%  </td> <td>1      </td> <td>4        </td> <td>0       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                   </td> <td>0                       </td> <td>nan%                     </td> <td>nan                      </td> <td>0                          </td> <td>nan                       </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>2      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>2             </td> <td>0            </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>01/28/20</td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>5        </td> <td>0            </td> <td>0.00%         </td> <td>1             </td> <td>5               </td> <td>0              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                     </td> <td>0                         </td> <td>nan%                       </td> <td>nan                        </td> <td>0                            </td> <td>nan                         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>1       </td> <td>0           </td> <td>0.00%        </td> <td>1            </td> <td>1              </td> <td>0             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>2     </td> <td>1         </td> <td>50.00%     </td> <td>2          </td> <td>2            </td> <td>0.5         </td> <td>0                       </td> <td>0                           </td> <td>nan%                         </td> <td>nan                          </td> <td>0                              </td> <td>nan                           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>5509 </td> <td>2632     </td> <td>47.78%    </td> <td>1.91484   </td> <td>4961        </td> <td>0.530538   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                </td> <td>0                    </td> <td>nan%                  </td> <td>nan                   </td> <td>0                       </td> <td>nan                    </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>4     </td> <td>1         </td> <td>25.00%     </td> <td>1.33333    </td> <td>4            </td> <td>0.25        </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>4      </td> <td>3          </td> <td>75.00%      </td> <td>4           </td> <td>4             </td> <td>0.75         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>7    </td> <td>3        </td> <td>42.86%    </td> <td>1.75      </td> <td>5           </td> <td>0.6        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>4           </td> <td>0               </td> <td>0.00%            </td> <td>1                </td> <td>3                  </td> <td>0                 </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>4       </td> <td>0           </td> <td>0.00%        </td> <td>1            </td> <td>4              </td> <td>0             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>1    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>1           </td> <td>0          </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0              </td> <td>0                  </td> <td>nan%                </td> <td>nan                 </td> <td>0                     </td> <td>nan                  </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                               </td> <td>0                                   </td> <td>nan%                                 </td> <td>nan                                  </td> <td>0                                      </td> <td>nan                                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>7        </td> <td>2            </td> <td>28.57%        </td> <td>1.4           </td> <td>7               </td> <td>0.285714       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>1        </td> <td>0            </td> <td>0.00%         </td> <td>1             </td> <td>1               </td> <td>0              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>8      </td> <td>3          </td> <td>37.50%      </td> <td>1.6         </td> <td>7             </td> <td>0.428571     </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>14      </td> <td>6           </td> <td>42.86%       </td> <td>1.75         </td> <td>12             </td> <td>0.5           </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>5   </td> <td>0     </td> <td>0.00%  </td> <td>1      </td> <td>4        </td> <td>0       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                   </td> <td>0                       </td> <td>nan%                     </td> <td>nan                      </td> <td>0                          </td> <td>nan                       </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>2      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>2             </td> <td>0            </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>01/29/20</td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>6        </td> <td>1            </td> <td>16.67%        </td> <td>1.2           </td> <td>6               </td> <td>0.166667       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                     </td> <td>0                         </td> <td>nan%                       </td> <td>nan                        </td> <td>0                            </td> <td>nan                         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>1       </td> <td>0           </td> <td>0.00%        </td> <td>1            </td> <td>1              </td> <td>0             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>2     </td> <td>0         </td> <td>0.00%      </td> <td>1          </td> <td>2            </td> <td>0           </td> <td>0                       </td> <td>0                           </td> <td>nan%                         </td> <td>nan                          </td> <td>0                              </td> <td>nan                           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>6087 </td> <td>578      </td> <td>9.50%     </td> <td>1.10492   </td> <td>5539        </td> <td>0.104351   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                </td> <td>0                    </td> <td>nan%                  </td> <td>nan                   </td> <td>0                       </td> <td>nan                    </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>1      </td> <td>1          </td> <td>100.00%     </td> <td>inf         </td> <td>1             </td> <td>1            </td> <td>5     </td> <td>1         </td> <td>20.00%     </td> <td>1.25       </td> <td>5            </td> <td>0.2         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>4      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>4             </td> <td>0            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>7    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>5           </td> <td>0          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>4           </td> <td>0               </td> <td>0.00%            </td> <td>1                </td> <td>3                  </td> <td>0                 </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>7       </td> <td>3           </td> <td>42.86%       </td> <td>1.75         </td> <td>7              </td> <td>0.428571      </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>1    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>1           </td> <td>0          </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0              </td> <td>0                  </td> <td>nan%                </td> <td>nan                 </td> <td>0                     </td> <td>nan                  </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                               </td> <td>0                                   </td> <td>nan%                                 </td> <td>nan                                  </td> <td>0                                      </td> <td>nan                                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>7        </td> <td>0            </td> <td>0.00%         </td> <td>1             </td> <td>7               </td> <td>0              </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>1        </td> <td>0            </td> <td>0.00%         </td> <td>1             </td> <td>1               </td> <td>0              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>8      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>7             </td> <td>0            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>14      </td> <td>0           </td> <td>0.00%        </td> <td>1            </td> <td>12             </td> <td>0             </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>5   </td> <td>0     </td> <td>0.00%  </td> <td>1      </td> <td>4        </td> <td>0       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>4                   </td> <td>4                       </td> <td>100.00%                  </td> <td>inf                      </td> <td>4                          </td> <td>1                         </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>2      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>2             </td> <td>0            </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>01/30/20</td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>9        </td> <td>3            </td> <td>33.33%        </td> <td>1.5           </td> <td>9               </td> <td>0.333333       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                     </td> <td>0                         </td> <td>nan%                       </td> <td>nan                        </td> <td>0                            </td> <td>nan                         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>1       </td> <td>0           </td> <td>0.00%        </td> <td>1            </td> <td>1              </td> <td>0             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>2     </td> <td>0         </td> <td>0.00%      </td> <td>1          </td> <td>2            </td> <td>0           </td> <td>0                       </td> <td>0                           </td> <td>nan%                         </td> <td>nan                          </td> <td>0                              </td> <td>nan                           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>8141 </td> <td>2054     </td> <td>25.23%    </td> <td>1.33744   </td> <td>7593        </td> <td>0.270512   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                </td> <td>0                    </td> <td>nan%                  </td> <td>nan                   </td> <td>0                       </td> <td>nan                    </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>1      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>1             </td> <td>0            </td> <td>5     </td> <td>0         </td> <td>0.00%      </td> <td>1          </td> <td>5            </td> <td>0           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>4      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>4             </td> <td>0            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>1    </td> <td>1        </td> <td>100.00%   </td> <td>inf       </td> <td>1           </td> <td>1          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>11   </td> <td>4        </td> <td>36.36%    </td> <td>1.57143   </td> <td>9           </td> <td>0.444444   </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>4           </td> <td>0               </td> <td>0.00%            </td> <td>1                </td> <td>3                  </td> <td>0                 </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>8       </td> <td>1           </td> <td>12.50%       </td> <td>1.14286      </td> <td>8              </td> <td>0.125         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>1    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>1           </td> <td>0          </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0              </td> <td>0                  </td> <td>nan%                </td> <td>nan                 </td> <td>0                     </td> <td>nan                  </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>1          </td> <td>1              </td> <td>100.00%         </td> <td>inf             </td> <td>1                 </td> <td>1                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                               </td> <td>0                                   </td> <td>nan%                                 </td> <td>nan                                  </td> <td>0                                      </td> <td>nan                                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>10       </td> <td>3            </td> <td>30.00%        </td> <td>1.42857       </td> <td>10              </td> <td>0.3            </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>1        </td> <td>0            </td> <td>0.00%         </td> <td>1             </td> <td>1               </td> <td>0              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>9      </td> <td>1          </td> <td>11.11%      </td> <td>1.125       </td> <td>8             </td> <td>0.125        </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>14      </td> <td>0           </td> <td>0.00%        </td> <td>1            </td> <td>12             </td> <td>0             </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>5   </td> <td>0     </td> <td>0.00%  </td> <td>1      </td> <td>4        </td> <td>0       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>4                   </td> <td>0                       </td> <td>0.00%                    </td> <td>1                        </td> <td>4                          </td> <td>0                         </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>2      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>2             </td> <td>0            </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>01/31/20</td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>9        </td> <td>0            </td> <td>0.00%         </td> <td>1             </td> <td>9               </td> <td>0              </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                     </td> <td>0                         </td> <td>nan%                       </td> <td>nan                        </td> <td>0                            </td> <td>nan                         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>1       </td> <td>0           </td> <td>0.00%        </td> <td>1            </td> <td>1              </td> <td>0             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>4     </td> <td>2         </td> <td>50.00%     </td> <td>2          </td> <td>4            </td> <td>0.5         </td> <td>0                       </td> <td>0                           </td> <td>nan%                         </td> <td>nan                          </td> <td>0                              </td> <td>nan                           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>9802 </td> <td>1661     </td> <td>16.95%    </td> <td>1.20403   </td> <td>9254        </td> <td>0.17949    </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                </td> <td>0                    </td> <td>nan%                  </td> <td>nan                   </td> <td>0                       </td> <td>nan                    </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>1      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>1             </td> <td>0            </td> <td>5     </td> <td>0         </td> <td>0.00%      </td> <td>1          </td> <td>5            </td> <td>0           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>5      </td> <td>1          </td> <td>20.00%      </td> <td>1.25        </td> <td>5             </td> <td>0.2          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>1    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>1           </td> <td>0          </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>2    </td> <td>2        </td> <td>100.00%   </td> <td>inf       </td> <td>2           </td> <td>1          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>15   </td> <td>4        </td> <td>26.67%    </td> <td>1.36364   </td> <td>13          </td> <td>0.307692   </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>11          </td> <td>7               </td> <td>63.64%           </td> <td>2.75             </td> <td>10                 </td> <td>0.7               </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0            </td> <td>0                </td> <td>nan%              </td> <td>nan               </td> <td>0                   </td> <td>nan                </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>8       </td> <td>0           </td> <td>0.00%        </td> <td>1            </td> <td>8              </td> <td>0             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>1    </td> <td>0        </td> <td>0.00%     </td> <td>1         </td> <td>1           </td> <td>0          </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0              </td> <td>0                  </td> <td>nan%                </td> <td>nan                 </td> <td>0                     </td> <td>nan                  </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0               </td> <td>0                   </td> <td>nan%                 </td> <td>nan                  </td> <td>0                      </td> <td>nan                   </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>1          </td> <td>0              </td> <td>0.00%           </td> <td>1               </td> <td>1                 </td> <td>0                </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>2     </td> <td>2         </td> <td>100.00%    </td> <td>inf        </td> <td>2            </td> <td>1           </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0                               </td> <td>0                                   </td> <td>nan%                                 </td> <td>nan                                  </td> <td>0                                      </td> <td>nan                                   </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0                    </td> <td>0                        </td> <td>nan%                      </td> <td>nan                       </td> <td>0                           </td> <td>nan                        </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>13       </td> <td>3            </td> <td>23.08%        </td> <td>1.3           </td> <td>13              </td> <td>0.230769       </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0           </td> <td>0               </td> <td>nan%             </td> <td>nan              </td> <td>0                  </td> <td>nan               </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>1        </td> <td>0            </td> <td>0.00%         </td> <td>1             </td> <td>1               </td> <td>0              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>1     </td> <td>1         </td> <td>100.00%    </td> <td>inf        </td> <td>1            </td> <td>1           </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>10     </td> <td>1          </td> <td>10.00%      </td> <td>1.11111     </td> <td>9             </td> <td>0.111111     </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td> <td>19      </td> <td>5           </td> <td>26.32%       </td> <td>1.35714      </td> <td>17             </td> <td>0.294118      </td> <td>0          </td> <td>0              </td> <td>nan%            </td> <td>nan             </td> <td>0                 </td> <td>nan              </td> <td>0   </td> <td>0       </td> <td>nan%     </td> <td>nan      </td> <td>0          </td> <td>nan       </td> <td>0                  </td> <td>0                      </td> <td>nan%                    </td> <td>nan                     </td> <td>0                         </td> <td>nan                      </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>7   </td> <td>2     </td> <td>28.57% </td> <td>1.4    </td> <td>6        </td> <td>0.333333</td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>4                   </td> <td>0                       </td> <td>0.00%                    </td> <td>1                        </td> <td>4                          </td> <td>0                         </td> <td>2             </td> <td>2                 </td> <td>100.00%            </td> <td>inf                </td> <td>2                    </td> <td>1                   </td> <td>0      </td> <td>0          </td> <td>nan%        </td> <td>nan         </td> <td>0             </td> <td>nan          </td> <td>0         </td> <td>0             </td> <td>nan%           </td> <td>nan            </td> <td>0                </td> <td>nan             </td> <td>0        </td> <td>0            </td> <td>nan%          </td> <td>nan           </td> <td>0               </td> <td>nan            </td> <td>2      </td> <td>0          </td> <td>0.00%       </td> <td>1           </td> <td>2             </td> <td>0            </td> <td>0                 </td> <td>0                     </td> <td>nan%                   </td> <td>nan                    </td> <td>0                        </td> <td>nan                     </td> <td>0             </td> <td>0                 </td> <td>nan%               </td> <td>nan                </td> <td>0                    </td> <td>nan                 </td> <td>0    </td> <td>0        </td> <td>nan%      </td> <td>nan       </td> <td>0           </td> <td>nan        </td> <td>0     </td> <td>0         </td> <td>nan%       </td> <td>nan        </td> <td>0            </td> <td>nan         </td> <td>0       </td> <td>0           </td> <td>nan%         </td> <td>nan          </td> <td>0              </td> <td>nan           </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (169 rows omitted)</p>"
      ],
      "text/plain": [
       "date     | Afghanistan | new Afghanistan | %new Afghanistan | rate Afghanistan | active Afghanistan | arate Afghanistan | Albania | new Albania | %new Albania | rate Albania | active Albania | arate Albania | Algeria | new Algeria | %new Algeria | rate Algeria | active Algeria | arate Algeria | Andorra | new Andorra | %new Andorra | rate Andorra | active Andorra | arate Andorra | Angola | new Angola | %new Angola | rate Angola | active Angola | arate Angola | Antigua and Barbuda | new Antigua and Barbuda | %new Antigua and Barbuda | rate Antigua and Barbuda | active Antigua and Barbuda | arate Antigua and Barbuda | Argentina | new Argentina | %new Argentina | rate Argentina | active Argentina | arate Argentina | Armenia | new Armenia | %new Armenia | rate Armenia | active Armenia | arate Armenia | Australia | new Australia | %new Australia | rate Australia | active Australia | arate Australia | Austria | new Austria | %new Austria | rate Austria | active Austria | arate Austria | Azerbaijan | new Azerbaijan | %new Azerbaijan | rate Azerbaijan | active Azerbaijan | arate Azerbaijan | Bahamas | new Bahamas | %new Bahamas | rate Bahamas | active Bahamas | arate Bahamas | Bahrain | new Bahrain | %new Bahrain | rate Bahrain | active Bahrain | arate Bahrain | Bangladesh | new Bangladesh | %new Bangladesh | rate Bangladesh | active Bangladesh | arate Bangladesh | Barbados | new Barbados | %new Barbados | rate Barbados | active Barbados | arate Barbados | Belarus | new Belarus | %new Belarus | rate Belarus | active Belarus | arate Belarus | Belgium | new Belgium | %new Belgium | rate Belgium | active Belgium | arate Belgium | Belize | new Belize | %new Belize | rate Belize | active Belize | arate Belize | Benin | new Benin | %new Benin | rate Benin | active Benin | arate Benin | Bhutan | new Bhutan | %new Bhutan | rate Bhutan | active Bhutan | arate Bhutan | Bolivia | new Bolivia | %new Bolivia | rate Bolivia | active Bolivia | arate Bolivia | Bosnia and Herzegovina | new Bosnia and Herzegovina | %new Bosnia and Herzegovina | rate Bosnia and Herzegovina | active Bosnia and Herzegovina | arate Bosnia and Herzegovina | Botswana | new Botswana | %new Botswana | rate Botswana | active Botswana | arate Botswana | Brazil | new Brazil | %new Brazil | rate Brazil | active Brazil | arate Brazil | Brunei | new Brunei | %new Brunei | rate Brunei | active Brunei | arate Brunei | Bulgaria | new Bulgaria | %new Bulgaria | rate Bulgaria | active Bulgaria | arate Bulgaria | Burkina Faso | new Burkina Faso | %new Burkina Faso | rate Burkina Faso | active Burkina Faso | arate Burkina Faso | Burma | new Burma | %new Burma | rate Burma | active Burma | arate Burma | Burundi | new Burundi | %new Burundi | rate Burundi | active Burundi | arate Burundi | Cabo Verde | new Cabo Verde | %new Cabo Verde | rate Cabo Verde | active Cabo Verde | arate Cabo Verde | Cambodia | new Cambodia | %new Cambodia | rate Cambodia | active Cambodia | arate Cambodia | Cameroon | new Cameroon | %new Cameroon | rate Cameroon | active Cameroon | arate Cameroon | Canada | new Canada | %new Canada | rate Canada | active Canada | arate Canada | Central African Republic | new Central African Republic | %new Central African Republic | rate Central African Republic | active Central African Republic | arate Central African Republic | Chad | new Chad | %new Chad | rate Chad | active Chad | arate Chad | Chile | new Chile | %new Chile | rate Chile | active Chile | arate Chile | China | new China | %new China | rate China | active China | arate China | Colombia | new Colombia | %new Colombia | rate Colombia | active Colombia | arate Colombia | Comoros | new Comoros | %new Comoros | rate Comoros | active Comoros | arate Comoros | Congo (Brazzaville) | new Congo (Brazzaville) | %new Congo (Brazzaville) | rate Congo (Brazzaville) | active Congo (Brazzaville) | arate Congo (Brazzaville) | Congo (Kinshasa) | new Congo (Kinshasa) | %new Congo (Kinshasa) | rate Congo (Kinshasa) | active Congo (Kinshasa) | arate Congo (Kinshasa) | Costa Rica | new Costa Rica | %new Costa Rica | rate Costa Rica | active Costa Rica | arate Costa Rica | Cote d'Ivoire | new Cote d'Ivoire | %new Cote d'Ivoire | rate Cote d'Ivoire | active Cote d'Ivoire | arate Cote d'Ivoire | Croatia | new Croatia | %new Croatia | rate Croatia | active Croatia | arate Croatia | Cuba | new Cuba | %new Cuba | rate Cuba | active Cuba | arate Cuba | Cyprus | new Cyprus | %new Cyprus | rate Cyprus | active Cyprus | arate Cyprus | Czechia | new Czechia | %new Czechia | rate Czechia | active Czechia | arate Czechia | Denmark | new Denmark | %new Denmark | rate Denmark | active Denmark | arate Denmark | Diamond Princess | new Diamond Princess | %new Diamond Princess | rate Diamond Princess | active Diamond Princess | arate Diamond Princess | Djibouti | new Djibouti | %new Djibouti | rate Djibouti | active Djibouti | arate Djibouti | Dominica | new Dominica | %new Dominica | rate Dominica | active Dominica | arate Dominica | Dominican Republic | new Dominican Republic | %new Dominican Republic | rate Dominican Republic | active Dominican Republic | arate Dominican Republic | Ecuador | new Ecuador | %new Ecuador | rate Ecuador | active Ecuador | arate Ecuador | Egypt | new Egypt | %new Egypt | rate Egypt | active Egypt | arate Egypt | El Salvador | new El Salvador | %new El Salvador | rate El Salvador | active El Salvador | arate El Salvador | Equatorial Guinea | new Equatorial Guinea | %new Equatorial Guinea | rate Equatorial Guinea | active Equatorial Guinea | arate Equatorial Guinea | Eritrea | new Eritrea | %new Eritrea | rate Eritrea | active Eritrea | arate Eritrea | Estonia | new Estonia | %new Estonia | rate Estonia | active Estonia | arate Estonia | Eswatini | new Eswatini | %new Eswatini | rate Eswatini | active Eswatini | arate Eswatini | Ethiopia | new Ethiopia | %new Ethiopia | rate Ethiopia | active Ethiopia | arate Ethiopia | Fiji | new Fiji | %new Fiji | rate Fiji | active Fiji | arate Fiji | Finland | new Finland | %new Finland | rate Finland | active Finland | arate Finland | France | new France | %new France | rate France | active France | arate France | Gabon | new Gabon | %new Gabon | rate Gabon | active Gabon | arate Gabon | Gambia | new Gambia | %new Gambia | rate Gambia | active Gambia | arate Gambia | Georgia | new Georgia | %new Georgia | rate Georgia | active Georgia | arate Georgia | Germany | new Germany | %new Germany | rate Germany | active Germany | arate Germany | Ghana | new Ghana | %new Ghana | rate Ghana | active Ghana | arate Ghana | Greece | new Greece | %new Greece | rate Greece | active Greece | arate Greece | Grenada | new Grenada | %new Grenada | rate Grenada | active Grenada | arate Grenada | Guatemala | new Guatemala | %new Guatemala | rate Guatemala | active Guatemala | arate Guatemala | Guinea | new Guinea | %new Guinea | rate Guinea | active Guinea | arate Guinea | Guinea-Bissau | new Guinea-Bissau | %new Guinea-Bissau | rate Guinea-Bissau | active Guinea-Bissau | arate Guinea-Bissau | Guyana | new Guyana | %new Guyana | rate Guyana | active Guyana | arate Guyana | Haiti | new Haiti | %new Haiti | rate Haiti | active Haiti | arate Haiti | Holy See | new Holy See | %new Holy See | rate Holy See | active Holy See | arate Holy See | Honduras | new Honduras | %new Honduras | rate Honduras | active Honduras | arate Honduras | Hungary | new Hungary | %new Hungary | rate Hungary | active Hungary | arate Hungary | Iceland | new Iceland | %new Iceland | rate Iceland | active Iceland | arate Iceland | India | new India | %new India | rate India | active India | arate India | Indonesia | new Indonesia | %new Indonesia | rate Indonesia | active Indonesia | arate Indonesia | Iran | new Iran | %new Iran | rate Iran | active Iran | arate Iran | Iraq | new Iraq | %new Iraq | rate Iraq | active Iraq | arate Iraq | Ireland | new Ireland | %new Ireland | rate Ireland | active Ireland | arate Ireland | Israel | new Israel | %new Israel | rate Israel | active Israel | arate Israel | Italy | new Italy | %new Italy | rate Italy | active Italy | arate Italy | Jamaica | new Jamaica | %new Jamaica | rate Jamaica | active Jamaica | arate Jamaica | Japan | new Japan | %new Japan | rate Japan | active Japan | arate Japan | Jordan | new Jordan | %new Jordan | rate Jordan | active Jordan | arate Jordan | Kazakhstan | new Kazakhstan | %new Kazakhstan | rate Kazakhstan | active Kazakhstan | arate Kazakhstan | Kenya | new Kenya | %new Kenya | rate Kenya | active Kenya | arate Kenya | Korea, South | new Korea, South | %new Korea, South | rate Korea, South | active Korea, South | arate Korea, South | Kosovo | new Kosovo | %new Kosovo | rate Kosovo | active Kosovo | arate Kosovo | Kuwait | new Kuwait | %new Kuwait | rate Kuwait | active Kuwait | arate Kuwait | Kyrgyzstan | new Kyrgyzstan | %new Kyrgyzstan | rate Kyrgyzstan | active Kyrgyzstan | arate Kyrgyzstan | Laos | new Laos | %new Laos | rate Laos | active Laos | arate Laos | Latvia | new Latvia | %new Latvia | rate Latvia | active Latvia | arate Latvia | Lebanon | new Lebanon | %new Lebanon | rate Lebanon | active Lebanon | arate Lebanon | Lesotho | new Lesotho | %new Lesotho | rate Lesotho | active Lesotho | arate Lesotho | Liberia | new Liberia | %new Liberia | rate Liberia | active Liberia | arate Liberia | Libya | new Libya | %new Libya | rate Libya | active Libya | arate Libya | Liechtenstein | new Liechtenstein | %new Liechtenstein | rate Liechtenstein | active Liechtenstein | arate Liechtenstein | Lithuania | new Lithuania | %new Lithuania | rate Lithuania | active Lithuania | arate Lithuania | Luxembourg | new Luxembourg | %new Luxembourg | rate Luxembourg | active Luxembourg | arate Luxembourg | MS Zaandam | new MS Zaandam | %new MS Zaandam | rate MS Zaandam | active MS Zaandam | arate MS Zaandam | Madagascar | new Madagascar | %new Madagascar | rate Madagascar | active Madagascar | arate Madagascar | Malawi | new Malawi | %new Malawi | rate Malawi | active Malawi | arate Malawi | Malaysia | new Malaysia | %new Malaysia | rate Malaysia | active Malaysia | arate Malaysia | Maldives | new Maldives | %new Maldives | rate Maldives | active Maldives | arate Maldives | Mali | new Mali | %new Mali | rate Mali | active Mali | arate Mali | Malta | new Malta | %new Malta | rate Malta | active Malta | arate Malta | Mauritania | new Mauritania | %new Mauritania | rate Mauritania | active Mauritania | arate Mauritania | Mauritius | new Mauritius | %new Mauritius | rate Mauritius | active Mauritius | arate Mauritius | Mexico | new Mexico | %new Mexico | rate Mexico | active Mexico | arate Mexico | Moldova | new Moldova | %new Moldova | rate Moldova | active Moldova | arate Moldova | Monaco | new Monaco | %new Monaco | rate Monaco | active Monaco | arate Monaco | Mongolia | new Mongolia | %new Mongolia | rate Mongolia | active Mongolia | arate Mongolia | Montenegro | new Montenegro | %new Montenegro | rate Montenegro | active Montenegro | arate Montenegro | Morocco | new Morocco | %new Morocco | rate Morocco | active Morocco | arate Morocco | Mozambique | new Mozambique | %new Mozambique | rate Mozambique | active Mozambique | arate Mozambique | Namibia | new Namibia | %new Namibia | rate Namibia | active Namibia | arate Namibia | Nepal | new Nepal | %new Nepal | rate Nepal | active Nepal | arate Nepal | Netherlands | new Netherlands | %new Netherlands | rate Netherlands | active Netherlands | arate Netherlands | New Zealand | new New Zealand | %new New Zealand | rate New Zealand | active New Zealand | arate New Zealand | Nicaragua | new Nicaragua | %new Nicaragua | rate Nicaragua | active Nicaragua | arate Nicaragua | Niger | new Niger | %new Niger | rate Niger | active Niger | arate Niger | Nigeria | new Nigeria | %new Nigeria | rate Nigeria | active Nigeria | arate Nigeria | North Macedonia | new North Macedonia | %new North Macedonia | rate North Macedonia | active North Macedonia | arate North Macedonia | Norway | new Norway | %new Norway | rate Norway | active Norway | arate Norway | Oman | new Oman | %new Oman | rate Oman | active Oman | arate Oman | Pakistan | new Pakistan | %new Pakistan | rate Pakistan | active Pakistan | arate Pakistan | Panama | new Panama | %new Panama | rate Panama | active Panama | arate Panama | Papua New Guinea | new Papua New Guinea | %new Papua New Guinea | rate Papua New Guinea | active Papua New Guinea | arate Papua New Guinea | Paraguay | new Paraguay | %new Paraguay | rate Paraguay | active Paraguay | arate Paraguay | Peru | new Peru | %new Peru | rate Peru | active Peru | arate Peru | Philippines | new Philippines | %new Philippines | rate Philippines | active Philippines | arate Philippines | Poland | new Poland | %new Poland | rate Poland | active Poland | arate Poland | Portugal | new Portugal | %new Portugal | rate Portugal | active Portugal | arate Portugal | Qatar | new Qatar | %new Qatar | rate Qatar | active Qatar | arate Qatar | Romania | new Romania | %new Romania | rate Romania | active Romania | arate Romania | Russia | new Russia | %new Russia | rate Russia | active Russia | arate Russia | Rwanda | new Rwanda | %new Rwanda | rate Rwanda | active Rwanda | arate Rwanda | Saint Kitts and Nevis | new Saint Kitts and Nevis | %new Saint Kitts and Nevis | rate Saint Kitts and Nevis | active Saint Kitts and Nevis | arate Saint Kitts and Nevis | Saint Lucia | new Saint Lucia | %new Saint Lucia | rate Saint Lucia | active Saint Lucia | arate Saint Lucia | Saint Vincent and the Grenadines | new Saint Vincent and the Grenadines | %new Saint Vincent and the Grenadines | rate Saint Vincent and the Grenadines | active Saint Vincent and the Grenadines | arate Saint Vincent and the Grenadines | San Marino | new San Marino | %new San Marino | rate San Marino | active San Marino | arate San Marino | Sao Tome and Principe | new Sao Tome and Principe | %new Sao Tome and Principe | rate Sao Tome and Principe | active Sao Tome and Principe | arate Sao Tome and Principe | Saudi Arabia | new Saudi Arabia | %new Saudi Arabia | rate Saudi Arabia | active Saudi Arabia | arate Saudi Arabia | Senegal | new Senegal | %new Senegal | rate Senegal | active Senegal | arate Senegal | Serbia | new Serbia | %new Serbia | rate Serbia | active Serbia | arate Serbia | Seychelles | new Seychelles | %new Seychelles | rate Seychelles | active Seychelles | arate Seychelles | Sierra Leone | new Sierra Leone | %new Sierra Leone | rate Sierra Leone | active Sierra Leone | arate Sierra Leone | Singapore | new Singapore | %new Singapore | rate Singapore | active Singapore | arate Singapore | Slovakia | new Slovakia | %new Slovakia | rate Slovakia | active Slovakia | arate Slovakia | Slovenia | new Slovenia | %new Slovenia | rate Slovenia | active Slovenia | arate Slovenia | Somalia | new Somalia | %new Somalia | rate Somalia | active Somalia | arate Somalia | South Africa | new South Africa | %new South Africa | rate South Africa | active South Africa | arate South Africa | South Sudan | new South Sudan | %new South Sudan | rate South Sudan | active South Sudan | arate South Sudan | Spain | new Spain | %new Spain | rate Spain | active Spain | arate Spain | Sri Lanka | new Sri Lanka | %new Sri Lanka | rate Sri Lanka | active Sri Lanka | arate Sri Lanka | Sudan | new Sudan | %new Sudan | rate Sudan | active Sudan | arate Sudan | Suriname | new Suriname | %new Suriname | rate Suriname | active Suriname | arate Suriname | Sweden | new Sweden | %new Sweden | rate Sweden | active Sweden | arate Sweden | Switzerland | new Switzerland | %new Switzerland | rate Switzerland | active Switzerland | arate Switzerland | Syria | new Syria | %new Syria | rate Syria | active Syria | arate Syria | Taiwan* | new Taiwan* | %new Taiwan* | rate Taiwan* | active Taiwan* | arate Taiwan* | Tajikistan | new Tajikistan | %new Tajikistan | rate Tajikistan | active Tajikistan | arate Tajikistan | Tanzania | new Tanzania | %new Tanzania | rate Tanzania | active Tanzania | arate Tanzania | Thailand | new Thailand | %new Thailand | rate Thailand | active Thailand | arate Thailand | Timor-Leste | new Timor-Leste | %new Timor-Leste | rate Timor-Leste | active Timor-Leste | arate Timor-Leste | Togo | new Togo | %new Togo | rate Togo | active Togo | arate Togo | Trinidad and Tobago | new Trinidad and Tobago | %new Trinidad and Tobago | rate Trinidad and Tobago | active Trinidad and Tobago | arate Trinidad and Tobago | Tunisia | new Tunisia | %new Tunisia | rate Tunisia | active Tunisia | arate Tunisia | Turkey | new Turkey | %new Turkey | rate Turkey | active Turkey | arate Turkey | US   | new US | %new US | rate US | active US | arate US | Uganda | new Uganda | %new Uganda | rate Uganda | active Uganda | arate Uganda | Ukraine | new Ukraine | %new Ukraine | rate Ukraine | active Ukraine | arate Ukraine | United Arab Emirates | new United Arab Emirates | %new United Arab Emirates | rate United Arab Emirates | active United Arab Emirates | arate United Arab Emirates | United Kingdom | new United Kingdom | %new United Kingdom | rate United Kingdom | active United Kingdom | arate United Kingdom | Uruguay | new Uruguay | %new Uruguay | rate Uruguay | active Uruguay | arate Uruguay | Uzbekistan | new Uzbekistan | %new Uzbekistan | rate Uzbekistan | active Uzbekistan | arate Uzbekistan | Venezuela | new Venezuela | %new Venezuela | rate Venezuela | active Venezuela | arate Venezuela | Vietnam | new Vietnam | %new Vietnam | rate Vietnam | active Vietnam | arate Vietnam | West Bank and Gaza | new West Bank and Gaza | %new West Bank and Gaza | rate West Bank and Gaza | active West Bank and Gaza | arate West Bank and Gaza | Western Sahara | new Western Sahara | %new Western Sahara | rate Western Sahara | active Western Sahara | arate Western Sahara | Yemen | new Yemen | %new Yemen | rate Yemen | active Yemen | arate Yemen | Zambia | new Zambia | %new Zambia | rate Zambia | active Zambia | arate Zambia | Zimbabwe | new Zimbabwe | %new Zimbabwe | rate Zimbabwe | active Zimbabwe | arate Zimbabwe\n",
       "01/22/20 | 0           | nan             | nan%             | nan              | 0                  | nan               | 0       | nan         | nan%         | nan          | 0              | nan           | 0       | nan         | nan%         | nan          | 0              | nan           | 0       | nan         | nan%         | nan          | 0              | nan           | 0      | nan        | nan%        | nan         | 0             | nan          | 0                   | nan                     | nan%                     | nan                      | 0                          | nan                       | 0         | nan           | nan%           | nan            | 0                | nan             | 0       | nan         | nan%         | nan          | 0              | nan           | 0         | nan           | nan%           | nan            | 0                | nan             | 0       | nan         | nan%         | nan          | 0              | nan           | 0          | nan            | nan%            | nan             | 0                 | nan              | 0       | nan         | nan%         | nan          | 0              | nan           | 0       | nan         | nan%         | nan          | 0              | nan           | 0          | nan            | nan%            | nan             | 0                 | nan              | 0        | nan          | nan%          | nan           | 0               | nan            | 0       | nan         | nan%         | nan          | 0              | nan           | 0       | nan         | nan%         | nan          | 0              | nan           | 0      | nan        | nan%        | nan         | 0             | nan          | 0     | nan       | nan%       | nan        | 0            | nan         | 0      | nan        | nan%        | nan         | 0             | nan          | 0       | nan         | nan%         | nan          | 0              | nan           | 0                      | nan                        | nan%                        | nan                         | 0                             | nan                          | 0        | nan          | nan%          | nan           | 0               | nan            | 0      | nan        | nan%        | nan         | 0             | nan          | 0      | nan        | nan%        | nan         | 0             | nan          | 0        | nan          | nan%          | nan           | 0               | nan            | 0            | nan              | nan%              | nan               | 0                   | nan                | 0     | nan       | nan%       | nan        | 0            | nan         | 0       | nan         | nan%         | nan          | 0              | nan           | 0          | nan            | nan%            | nan             | 0                 | nan              | 0        | nan          | nan%          | nan           | 0               | nan            | 0        | nan          | nan%          | nan           | 0               | nan            | 0      | nan        | nan%        | nan         | 0             | nan          | 0                        | nan                          | nan%                          | nan                           | 0                               | nan                            | 0    | nan      | nan%      | nan       | 0           | nan        | 0     | nan       | nan%       | nan        | 0            | nan         | 548   | nan       | nan%       | nan        | 0            | nan         | 0        | nan          | nan%          | nan           | 0               | nan            | 0       | nan         | nan%         | nan          | 0              | nan           | 0                   | nan                     | nan%                     | nan                      | 0                          | nan                       | 0                | nan                  | nan%                  | nan                   | 0                       | nan                    | 0          | nan            | nan%            | nan             | 0                 | nan              | 0             | nan               | nan%               | nan                | 0                    | nan                 | 0       | nan         | nan%         | nan          | 0              | nan           | 0    | nan      | nan%      | nan       | 0           | nan        | 0      | nan        | nan%        | nan         | 0             | nan          | 0       | nan         | nan%         | nan          | 0              | nan           | 0       | nan         | nan%         | nan          | 0              | nan           | 0                | nan                  | nan%                  | nan                   | 0                       | nan                    | 0        | nan          | nan%          | nan           | 0               | nan            | 0        | nan          | nan%          | nan           | 0               | nan            | 0                  | nan                    | nan%                    | nan                     | 0                         | nan                      | 0       | nan         | nan%         | nan          | 0              | nan           | 0     | nan       | nan%       | nan        | 0            | nan         | 0           | nan             | nan%             | nan              | 0                  | nan               | 0                 | nan                   | nan%                   | nan                    | 0                        | nan                     | 0       | nan         | nan%         | nan          | 0              | nan           | 0       | nan         | nan%         | nan          | 0              | nan           | 0        | nan          | nan%          | nan           | 0               | nan            | 0        | nan          | nan%          | nan           | 0               | nan            | 0    | nan      | nan%      | nan       | 0           | nan        | 0       | nan         | nan%         | nan          | 0              | nan           | 0      | nan        | nan%        | nan         | 0             | nan          | 0     | nan       | nan%       | nan        | 0            | nan         | 0      | nan        | nan%        | nan         | 0             | nan          | 0       | nan         | nan%         | nan          | 0              | nan           | 0       | nan         | nan%         | nan          | 0              | nan           | 0     | nan       | nan%       | nan        | 0            | nan         | 0      | nan        | nan%        | nan         | 0             | nan          | 0       | nan         | nan%         | nan          | 0              | nan           | 0         | nan           | nan%           | nan            | 0                | nan             | 0      | nan        | nan%        | nan         | 0             | nan          | 0             | nan               | nan%               | nan                | 0                    | nan                 | 0      | nan        | nan%        | nan         | 0             | nan          | 0     | nan       | nan%       | nan        | 0            | nan         | 0        | nan          | nan%          | nan           | 0               | nan            | 0        | nan          | nan%          | nan           | 0               | nan            | 0       | nan         | nan%         | nan          | 0              | nan           | 0       | nan         | nan%         | nan          | 0              | nan           | 0     | nan       | nan%       | nan        | 0            | nan         | 0         | nan           | nan%           | nan            | 0                | nan             | 0    | nan      | nan%      | nan       | 0           | nan        | 0    | nan      | nan%      | nan       | 0           | nan        | 0       | nan         | nan%         | nan          | 0              | nan           | 0      | nan        | nan%        | nan         | 0             | nan          | 0     | nan       | nan%       | nan        | 0            | nan         | 0       | nan         | nan%         | nan          | 0              | nan           | 2     | nan       | nan%       | nan        | 0            | nan         | 0      | nan        | nan%        | nan         | 0             | nan          | 0          | nan            | nan%            | nan             | 0                 | nan              | 0     | nan       | nan%       | nan        | 0            | nan         | 1            | nan              | nan%              | nan               | 0                   | nan                | 0      | nan        | nan%        | nan         | 0             | nan          | 0      | nan        | nan%        | nan         | 0             | nan          | 0          | nan            | nan%            | nan             | 0                 | nan              | 0    | nan      | nan%      | nan       | 0           | nan        | 0      | nan        | nan%        | nan         | 0             | nan          | 0       | nan         | nan%         | nan          | 0              | nan           | 0       | nan         | nan%         | nan          | 0              | nan           | 0       | nan         | nan%         | nan          | 0              | nan           | 0     | nan       | nan%       | nan        | 0            | nan         | 0             | nan               | nan%               | nan                | 0                    | nan                 | 0         | nan           | nan%           | nan            | 0                | nan             | 0          | nan            | nan%            | nan             | 0                 | nan              | 0          | nan            | nan%            | nan             | 0                 | nan              | 0          | nan            | nan%            | nan             | 0                 | nan              | 0      | nan        | nan%        | nan         | 0             | nan          | 0        | nan          | nan%          | nan           | 0               | nan            | 0        | nan          | nan%          | nan           | 0               | nan            | 0    | nan      | nan%      | nan       | 0           | nan        | 0     | nan       | nan%       | nan        | 0            | nan         | 0          | nan            | nan%            | nan             | 0                 | nan              | 0         | nan           | nan%           | nan            | 0                | nan             | 0      | nan        | nan%        | nan         | 0             | nan          | 0       | nan         | nan%         | nan          | 0              | nan           | 0      | nan        | nan%        | nan         | 0             | nan          | 0        | nan          | nan%          | nan           | 0               | nan            | 0          | nan            | nan%            | nan             | 0                 | nan              | 0       | nan         | nan%         | nan          | 0              | nan           | 0          | nan            | nan%            | nan             | 0                 | nan              | 0       | nan         | nan%         | nan          | 0              | nan           | 0     | nan       | nan%       | nan        | 0            | nan         | 0           | nan             | nan%             | nan              | 0                  | nan               | 0           | nan             | nan%             | nan              | 0                  | nan               | 0         | nan           | nan%           | nan            | 0                | nan             | 0     | nan       | nan%       | nan        | 0            | nan         | 0       | nan         | nan%         | nan          | 0              | nan           | 0               | nan                 | nan%                 | nan                  | 0                      | nan                   | 0      | nan        | nan%        | nan         | 0             | nan          | 0    | nan      | nan%      | nan       | 0           | nan        | 0        | nan          | nan%          | nan           | 0               | nan            | 0      | nan        | nan%        | nan         | 0             | nan          | 0                | nan                  | nan%                  | nan                   | 0                       | nan                    | 0        | nan          | nan%          | nan           | 0               | nan            | 0    | nan      | nan%      | nan       | 0           | nan        | 0           | nan             | nan%             | nan              | 0                  | nan               | 0      | nan        | nan%        | nan         | 0             | nan          | 0        | nan          | nan%          | nan           | 0               | nan            | 0     | nan       | nan%       | nan        | 0            | nan         | 0       | nan         | nan%         | nan          | 0              | nan           | 0      | nan        | nan%        | nan         | 0             | nan          | 0      | nan        | nan%        | nan         | 0             | nan          | 0                     | nan                       | nan%                       | nan                        | 0                            | nan                         | 0           | nan             | nan%             | nan              | 0                  | nan               | 0                                | nan                                  | nan%                                  | nan                                   | 0                                       | nan                                    | 0          | nan            | nan%            | nan             | 0                 | nan              | 0                     | nan                       | nan%                       | nan                        | 0                            | nan                         | 0            | nan              | nan%              | nan               | 0                   | nan                | 0       | nan         | nan%         | nan          | 0              | nan           | 0      | nan        | nan%        | nan         | 0             | nan          | 0          | nan            | nan%            | nan             | 0                 | nan              | 0            | nan              | nan%              | nan               | 0                   | nan                | 0         | nan           | nan%           | nan            | 0                | nan             | 0        | nan          | nan%          | nan           | 0               | nan            | 0        | nan          | nan%          | nan           | 0               | nan            | 0       | nan         | nan%         | nan          | 0              | nan           | 0            | nan              | nan%              | nan               | 0                   | nan                | 0           | nan             | nan%             | nan              | 0                  | nan               | 0     | nan       | nan%       | nan        | 0            | nan         | 0         | nan           | nan%           | nan            | 0                | nan             | 0     | nan       | nan%       | nan        | 0            | nan         | 0        | nan          | nan%          | nan           | 0               | nan            | 0      | nan        | nan%        | nan         | 0             | nan          | 0           | nan             | nan%             | nan              | 0                  | nan               | 0     | nan       | nan%       | nan        | 0            | nan         | 1       | nan         | nan%         | nan          | 0              | nan           | 0          | nan            | nan%            | nan             | 0                 | nan              | 0        | nan          | nan%          | nan           | 0               | nan            | 2        | nan          | nan%          | nan           | 0               | nan            | 0           | nan             | nan%             | nan              | 0                  | nan               | 0    | nan      | nan%      | nan       | 0           | nan        | 0                   | nan                     | nan%                     | nan                      | 0                          | nan                       | 0       | nan         | nan%         | nan          | 0              | nan           | 0      | nan        | nan%        | nan         | 0             | nan          | 1    | nan    | nan%    | nan     | 0         | nan      | 0      | nan        | nan%        | nan         | 0             | nan          | 0       | nan         | nan%         | nan          | 0              | nan           | 0                    | nan                      | nan%                      | nan                       | 0                           | nan                        | 0              | nan                | nan%                | nan                 | 0                     | nan                  | 0       | nan         | nan%         | nan          | 0              | nan           | 0          | nan            | nan%            | nan             | 0                 | nan              | 0         | nan           | nan%           | nan            | 0                | nan             | 0       | nan         | nan%         | nan          | 0              | nan           | 0                  | nan                    | nan%                    | nan                     | 0                         | nan                      | 0              | nan                | nan%                | nan                 | 0                     | nan                  | 0     | nan       | nan%       | nan        | 0            | nan         | 0      | nan        | nan%        | nan         | 0             | nan          | 0        | nan          | nan%          | nan           | 0               | nan\n",
       "01/23/20 | 0           | 0               | nan%             | nan              | 0                  | nan               | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                      | 0                          | nan%                        | nan                         | 0                             | nan                          | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0            | 0                | nan%              | nan               | 0                   | nan                | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                        | 0                            | nan%                          | nan                           | 0                               | nan                            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 643   | 95        | 14.77%     | 1.17336    | 95           | 1           | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0       | 0           | nan%         | nan          | 0              | nan           | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                 | 0                     | nan%                   | nan                    | 0                        | nan                     | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0    | 0        | nan%      | nan       | 0           | nan        | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 2     | 0         | 0.00%      | 1          | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0     | 0         | nan%       | nan        | 0            | nan         | 1            | 0                | 0.00%             | 1                 | 0                   | nan                | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0         | 0             | nan%           | nan            | 0                | nan             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0           | 0               | nan%             | nan              | 0                  | nan               | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0               | 0                   | nan%                 | nan                  | 0                      | nan                   | 0      | 0          | nan%        | nan         | 0             | nan          | 0    | 0        | nan%      | nan       | 0           | nan        | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0           | 0               | nan%             | nan              | 0                  | nan               | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                                | 0                                    | nan%                                  | nan                                   | 0                                       | nan                                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0            | 0                | nan%              | nan               | 0                   | nan                | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0            | 0                | nan%              | nan               | 0                   | nan                | 1         | 1             | 100.00%        | inf            | 1                | 1               | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0            | 0                | nan%              | nan               | 0                   | nan                | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 1       | 0           | 0.00%        | 1            | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 3        | 1            | 33.33%        | 1.5           | 1               | 1              | 0           | 0               | nan%             | nan              | 0                  | nan               | 0    | 0        | nan%      | nan       | 0           | nan        | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 1    | 0      | 0.00%   | 1       | 0         | nan      | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                    | 0                        | nan%                      | nan                       | 0                           | nan                        | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 2       | 2           | 100.00%      | inf          | 2              | 1             | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan\n",
       "01/24/20 | 0           | 0               | nan%             | nan              | 0                  | nan               | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                      | 0                          | nan%                        | nan                         | 0                             | nan                          | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0            | 0                | nan%              | nan               | 0                   | nan                | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                        | 0                            | nan%                          | nan                           | 0                               | nan                            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 920   | 277       | 30.11%     | 1.43079    | 372          | 0.744624    | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0       | 0           | nan%         | nan          | 0              | nan           | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                 | 0                     | nan%                   | nan                    | 0                        | nan                     | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 2      | 2          | 100.00%     | inf         | 2             | 1            | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0    | 0        | nan%      | nan       | 0           | nan        | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 2     | 0         | 0.00%      | 1          | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0     | 0         | nan%       | nan        | 0            | nan         | 2            | 1                | 50.00%            | 2                 | 1                   | 1                  | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0         | 0             | nan%           | nan            | 0                | nan             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0           | 0               | nan%             | nan              | 0                  | nan               | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0               | 0                   | nan%                 | nan                  | 0                      | nan                   | 0      | 0          | nan%        | nan         | 0             | nan          | 0    | 0        | nan%      | nan       | 0           | nan        | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0           | 0               | nan%             | nan              | 0                  | nan               | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                                | 0                                    | nan%                                  | nan                                   | 0                                       | nan                                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0            | 0                | nan%              | nan               | 0                   | nan                | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0            | 0                | nan%              | nan               | 0                   | nan                | 3         | 2             | 66.67%         | 3              | 3                | 0.666667        | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0            | 0                | nan%              | nan               | 0                   | nan                | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 3       | 2           | 66.67%       | 3            | 2              | 1             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 5        | 2            | 40.00%        | 1.66667       | 3               | 0.666667       | 0           | 0               | nan%             | nan              | 0                  | nan               | 0    | 0        | nan%      | nan       | 0           | nan        | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 2    | 1      | 50.00%  | 2       | 1         | 1        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                    | 0                        | nan%                      | nan                       | 0                           | nan                        | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 2       | 0           | 0.00%        | 1            | 2              | 0             | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan\n",
       "01/25/20 | 0           | 0               | nan%             | nan              | 0                  | nan               | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                      | 0                          | nan%                        | nan                         | 0                             | nan                          | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0            | 0                | nan%              | nan               | 0                   | nan                | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                        | 0                            | nan%                          | nan                           | 0                               | nan                            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 1406  | 486       | 34.57%     | 1.52826    | 858          | 0.566434    | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0       | 0           | nan%         | nan          | 0              | nan           | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                 | 0                     | nan%                   | nan                    | 0                        | nan                     | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 3      | 1          | 33.33%      | 1.5         | 3             | 0.333333     | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0    | 0        | nan%      | nan       | 0           | nan        | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 2     | 0         | 0.00%      | 1          | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0     | 0         | nan%       | nan        | 0            | nan         | 2            | 0                | 0.00%             | 1                 | 1                   | 0                  | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0         | 0             | nan%           | nan            | 0                | nan             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0      | 0          | nan%        | nan         | 0             | nan          | 3        | 3            | 100.00%       | inf           | 3               | 1              | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 1     | 1         | 100.00%    | inf        | 1            | 1           | 0           | 0               | nan%             | nan              | 0                  | nan               | 0           | 0               | nan%             | nan              | 0                  | nan               | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0               | 0                   | nan%                 | nan                  | 0                      | nan                   | 0      | 0          | nan%        | nan         | 0             | nan          | 0    | 0        | nan%      | nan       | 0           | nan        | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0           | 0               | nan%             | nan              | 0                  | nan               | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                                | 0                                    | nan%                                  | nan                                   | 0                                       | nan                                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0            | 0                | nan%              | nan               | 0                   | nan                | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0            | 0                | nan%              | nan               | 0                   | nan                | 3         | 0             | 0.00%          | 1              | 3                | 0               | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0            | 0                | nan%              | nan               | 0                   | nan                | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 3       | 0           | 0.00%        | 1            | 2              | 0             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 7        | 2            | 28.57%        | 1.4           | 5               | 0.4            | 0           | 0               | nan%             | nan              | 0                  | nan               | 0    | 0        | nan%      | nan       | 0           | nan        | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 2    | 0      | 0.00%   | 1       | 1         | 0        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                    | 0                        | nan%                      | nan                       | 0                           | nan                        | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 2       | 0           | 0.00%        | 1            | 2              | 0             | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan\n",
       "01/26/20 | 0           | 0               | nan%             | nan              | 0                  | nan               | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 4         | 4             | 100.00%        | inf            | 4                | 1               | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                      | 0                          | nan%                        | nan                         | 0                             | nan                          | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0            | 0                | nan%              | nan               | 0                   | nan                | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 1      | 1          | 100.00%     | inf         | 1             | 1            | 0                        | 0                            | nan%                          | nan                           | 0                               | nan                            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 2075  | 669       | 32.24%     | 1.47582    | 1527         | 0.438114    | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0       | 0           | nan%         | nan          | 0              | nan           | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                 | 0                     | nan%                   | nan                    | 0                        | nan                     | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 3      | 0          | 0.00%       | 1           | 3             | 0            | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0    | 0        | nan%      | nan       | 0           | nan        | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 4     | 2         | 50.00%     | 2          | 2            | 1           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0     | 0         | nan%       | nan        | 0            | nan         | 3            | 1                | 33.33%            | 1.5               | 2                   | 0.5                | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0         | 0             | nan%           | nan            | 0                | nan             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0      | 0          | nan%        | nan         | 0             | nan          | 4        | 1            | 25.00%        | 1.33333       | 4               | 0.25           | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 1     | 0         | 0.00%      | 1          | 1            | 0           | 0           | 0               | nan%             | nan              | 0                  | nan               | 0           | 0               | nan%             | nan              | 0                  | nan               | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0               | 0                   | nan%                 | nan                  | 0                      | nan                   | 0      | 0          | nan%        | nan         | 0             | nan          | 0    | 0        | nan%      | nan       | 0           | nan        | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0           | 0               | nan%             | nan              | 0                  | nan               | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                                | 0                                    | nan%                                  | nan                                   | 0                                       | nan                                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0            | 0                | nan%              | nan               | 0                   | nan                | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0            | 0                | nan%              | nan               | 0                   | nan                | 4         | 1             | 25.00%         | 1.33333        | 4                | 0.25            | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0            | 0                | nan%              | nan               | 0                   | nan                | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 4       | 1           | 25.00%       | 1.33333      | 3              | 0.333333      | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 8        | 1            | 12.50%        | 1.14286       | 6               | 0.166667       | 0           | 0               | nan%             | nan              | 0                  | nan               | 0    | 0        | nan%      | nan       | 0           | nan        | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 5    | 3      | 60.00%  | 2.5     | 4         | 0.75     | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                    | 0                        | nan%                      | nan                       | 0                           | nan                        | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 2       | 0           | 0.00%        | 1            | 2              | 0             | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan\n",
       "01/27/20 | 0           | 0               | nan%             | nan              | 0                  | nan               | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 5         | 1             | 20.00%         | 1.25           | 5                | 0.2             | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                      | 0                          | nan%                        | nan                         | 0                             | nan                          | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0            | 0                | nan%              | nan               | 0                   | nan                | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 1        | 1            | 100.00%       | inf           | 1               | 1              | 0        | 0            | nan%          | nan           | 0               | nan            | 1      | 0          | 0.00%       | 1           | 1             | 0            | 0                        | 0                            | nan%                          | nan                           | 0                               | nan                            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 2877  | 802       | 27.88%     | 1.38651    | 2329         | 0.344354    | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0       | 0           | nan%         | nan          | 0              | nan           | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                 | 0                     | nan%                   | nan                    | 0                        | nan                     | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 3      | 0          | 0.00%       | 1           | 3             | 0            | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 1       | 1           | 100.00%      | inf          | 1              | 1             | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0    | 0        | nan%      | nan       | 0           | nan        | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 4     | 0         | 0.00%      | 1          | 2            | 0           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0     | 0         | nan%       | nan        | 0            | nan         | 4            | 1                | 25.00%            | 1.33333           | 3                   | 0.333333           | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0         | 0             | nan%           | nan            | 0                | nan             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0      | 0          | nan%        | nan         | 0             | nan          | 4        | 0            | 0.00%         | 1             | 4               | 0              | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 1     | 0         | 0.00%      | 1          | 1            | 0           | 0           | 0               | nan%             | nan              | 0                  | nan               | 0           | 0               | nan%             | nan              | 0                  | nan               | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0               | 0                   | nan%                 | nan                  | 0                      | nan                   | 0      | 0          | nan%        | nan         | 0             | nan          | 0    | 0        | nan%      | nan       | 0           | nan        | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0           | 0               | nan%             | nan              | 0                  | nan               | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                                | 0                                    | nan%                                  | nan                                   | 0                                       | nan                                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0            | 0                | nan%              | nan               | 0                   | nan                | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0            | 0                | nan%              | nan               | 0                   | nan                | 5         | 1             | 20.00%         | 1.25           | 5                | 0.2             | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0            | 0                | nan%              | nan               | 0                   | nan                | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 1         | 1             | 100.00%        | inf            | 1                | 1               | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 5       | 1           | 20.00%       | 1.25         | 4              | 0.25          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 8        | 0            | 0.00%         | 1             | 6               | 0              | 0           | 0               | nan%             | nan              | 0                  | nan               | 0    | 0        | nan%      | nan       | 0           | nan        | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 5    | 0      | 0.00%   | 1       | 4         | 0        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                    | 0                        | nan%                      | nan                       | 0                           | nan                        | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 2       | 0           | 0.00%        | 1            | 2              | 0             | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan\n",
       "01/28/20 | 0           | 0               | nan%             | nan              | 0                  | nan               | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 5         | 0             | 0.00%          | 1              | 5                | 0               | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                      | 0                          | nan%                        | nan                         | 0                             | nan                          | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0            | 0                | nan%              | nan               | 0                   | nan                | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 1        | 0            | 0.00%         | 1             | 1               | 0              | 0        | 0            | nan%          | nan           | 0               | nan            | 2      | 1          | 50.00%      | 2           | 2             | 0.5          | 0                        | 0                            | nan%                          | nan                           | 0                               | nan                            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 5509  | 2632      | 47.78%     | 1.91484    | 4961         | 0.530538    | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0       | 0           | nan%         | nan          | 0              | nan           | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                 | 0                     | nan%                   | nan                    | 0                        | nan                     | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 4      | 1          | 25.00%      | 1.33333     | 4             | 0.25         | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 4       | 3           | 75.00%       | 4            | 4              | 0.75          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0    | 0        | nan%      | nan       | 0           | nan        | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 7     | 3         | 42.86%     | 1.75       | 5            | 0.6         | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0     | 0         | nan%       | nan        | 0            | nan         | 4            | 0                | 0.00%             | 1                 | 3                   | 0                  | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0         | 0             | nan%           | nan            | 0                | nan             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0      | 0          | nan%        | nan         | 0             | nan          | 4        | 0            | 0.00%         | 1             | 4               | 0              | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 1     | 0         | 0.00%      | 1          | 1            | 0           | 0           | 0               | nan%             | nan              | 0                  | nan               | 0           | 0               | nan%             | nan              | 0                  | nan               | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0               | 0                   | nan%                 | nan                  | 0                      | nan                   | 0      | 0          | nan%        | nan         | 0             | nan          | 0    | 0        | nan%      | nan       | 0           | nan        | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0           | 0               | nan%             | nan              | 0                  | nan               | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                                | 0                                    | nan%                                  | nan                                   | 0                                       | nan                                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0            | 0                | nan%              | nan               | 0                   | nan                | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0            | 0                | nan%              | nan               | 0                   | nan                | 7         | 2             | 28.57%         | 1.4            | 7                | 0.285714        | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0            | 0                | nan%              | nan               | 0                   | nan                | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 1         | 0             | 0.00%          | 1              | 1                | 0               | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 8       | 3           | 37.50%       | 1.6          | 7              | 0.428571      | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 14       | 6            | 42.86%        | 1.75          | 12              | 0.5            | 0           | 0               | nan%             | nan              | 0                  | nan               | 0    | 0        | nan%      | nan       | 0           | nan        | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 5    | 0      | 0.00%   | 1       | 4         | 0        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                    | 0                        | nan%                      | nan                       | 0                           | nan                        | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 2       | 0           | 0.00%        | 1            | 2              | 0             | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan\n",
       "01/29/20 | 0           | 0               | nan%             | nan              | 0                  | nan               | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 6         | 1             | 16.67%         | 1.2            | 6                | 0.166667        | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                      | 0                          | nan%                        | nan                         | 0                             | nan                          | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0            | 0                | nan%              | nan               | 0                   | nan                | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 1        | 0            | 0.00%         | 1             | 1               | 0              | 0        | 0            | nan%          | nan           | 0               | nan            | 2      | 0          | 0.00%       | 1           | 2             | 0            | 0                        | 0                            | nan%                          | nan                           | 0                               | nan                            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 6087  | 578       | 9.50%      | 1.10492    | 5539         | 0.104351    | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0       | 0           | nan%         | nan          | 0              | nan           | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                 | 0                     | nan%                   | nan                    | 0                        | nan                     | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 1       | 1           | 100.00%      | inf          | 1              | 1             | 5      | 1          | 20.00%      | 1.25        | 5             | 0.2          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 4       | 0           | 0.00%        | 1            | 4              | 0             | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0         | 0             | nan%           | nan            | 0                | nan             | 0    | 0        | nan%      | nan       | 0           | nan        | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 7     | 0         | 0.00%      | 1          | 5            | 0           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0     | 0         | nan%       | nan        | 0            | nan         | 4            | 0                | 0.00%             | 1                 | 3                   | 0                  | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0         | 0             | nan%           | nan            | 0                | nan             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0      | 0          | nan%        | nan         | 0             | nan          | 7        | 3            | 42.86%        | 1.75          | 7               | 0.428571       | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 1     | 0         | 0.00%      | 1          | 1            | 0           | 0           | 0               | nan%             | nan              | 0                  | nan               | 0           | 0               | nan%             | nan              | 0                  | nan               | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0               | 0                   | nan%                 | nan                  | 0                      | nan                   | 0      | 0          | nan%        | nan         | 0             | nan          | 0    | 0        | nan%      | nan       | 0           | nan        | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0           | 0               | nan%             | nan              | 0                  | nan               | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                                | 0                                    | nan%                                  | nan                                   | 0                                       | nan                                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0            | 0                | nan%              | nan               | 0                   | nan                | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0            | 0                | nan%              | nan               | 0                   | nan                | 7         | 0             | 0.00%          | 1              | 7                | 0               | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0            | 0                | nan%              | nan               | 0                   | nan                | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 1         | 0             | 0.00%          | 1              | 1                | 0               | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 8       | 0           | 0.00%        | 1            | 7              | 0             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 14       | 0            | 0.00%         | 1             | 12              | 0              | 0           | 0               | nan%             | nan              | 0                  | nan               | 0    | 0        | nan%      | nan       | 0           | nan        | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 5    | 0      | 0.00%   | 1       | 4         | 0        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 4                    | 4                        | 100.00%                   | inf                       | 4                           | 1                          | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 2       | 0           | 0.00%        | 1            | 2              | 0             | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan\n",
       "01/30/20 | 0           | 0               | nan%             | nan              | 0                  | nan               | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 9         | 3             | 33.33%         | 1.5            | 9                | 0.333333        | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                      | 0                          | nan%                        | nan                         | 0                             | nan                          | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0            | 0                | nan%              | nan               | 0                   | nan                | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 1        | 0            | 0.00%         | 1             | 1               | 0              | 0        | 0            | nan%          | nan           | 0               | nan            | 2      | 0          | 0.00%       | 1           | 2             | 0            | 0                        | 0                            | nan%                          | nan                           | 0                               | nan                            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 8141  | 2054      | 25.23%     | 1.33744    | 7593         | 0.270512    | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0       | 0           | nan%         | nan          | 0              | nan           | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                 | 0                     | nan%                   | nan                    | 0                        | nan                     | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 1       | 0           | 0.00%        | 1            | 1              | 0             | 5      | 0          | 0.00%       | 1           | 5             | 0            | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 4       | 0           | 0.00%        | 1            | 4              | 0             | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 1     | 1         | 100.00%    | inf        | 1            | 1           | 0         | 0             | nan%           | nan            | 0                | nan             | 0    | 0        | nan%      | nan       | 0           | nan        | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 11    | 4         | 36.36%     | 1.57143    | 9            | 0.444444    | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0     | 0         | nan%       | nan        | 0            | nan         | 4            | 0                | 0.00%             | 1                 | 3                   | 0                  | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0         | 0             | nan%           | nan            | 0                | nan             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0      | 0          | nan%        | nan         | 0             | nan          | 8        | 1            | 12.50%        | 1.14286       | 8               | 0.125          | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 1     | 0         | 0.00%      | 1          | 1            | 0           | 0           | 0               | nan%             | nan              | 0                  | nan               | 0           | 0               | nan%             | nan              | 0                  | nan               | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0               | 0                   | nan%                 | nan                  | 0                      | nan                   | 0      | 0          | nan%        | nan         | 0             | nan          | 0    | 0        | nan%      | nan       | 0           | nan        | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 1           | 1               | 100.00%          | inf              | 1                  | 1                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                                | 0                                    | nan%                                  | nan                                   | 0                                       | nan                                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0            | 0                | nan%              | nan               | 0                   | nan                | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0            | 0                | nan%              | nan               | 0                   | nan                | 10        | 3             | 30.00%         | 1.42857        | 10               | 0.3             | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0            | 0                | nan%              | nan               | 0                   | nan                | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 1         | 0             | 0.00%          | 1              | 1                | 0               | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 9       | 1           | 11.11%       | 1.125        | 8              | 0.125         | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 14       | 0            | 0.00%         | 1             | 12              | 0              | 0           | 0               | nan%             | nan              | 0                  | nan               | 0    | 0        | nan%      | nan       | 0           | nan        | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 5    | 0      | 0.00%   | 1       | 4         | 0        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 4                    | 0                        | 0.00%                     | 1                         | 4                           | 0                          | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 2       | 0           | 0.00%        | 1            | 2              | 0             | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan\n",
       "01/31/20 | 0           | 0               | nan%             | nan              | 0                  | nan               | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0         | 0             | nan%           | nan            | 0                | nan             | 0       | 0           | nan%         | nan          | 0              | nan           | 9         | 0             | 0.00%          | 1              | 9                | 0               | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0                      | 0                          | nan%                        | nan                         | 0                             | nan                          | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0            | 0                | nan%              | nan               | 0                   | nan                | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 1        | 0            | 0.00%         | 1             | 1               | 0              | 0        | 0            | nan%          | nan           | 0               | nan            | 4      | 2          | 50.00%      | 2           | 4             | 0.5          | 0                        | 0                            | nan%                          | nan                           | 0                               | nan                            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 9802  | 1661      | 16.95%     | 1.20403    | 9254         | 0.17949     | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0       | 0           | nan%         | nan          | 0              | nan           | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                 | 0                     | nan%                   | nan                    | 0                        | nan                     | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 1       | 0           | 0.00%        | 1            | 1              | 0             | 5      | 0          | 0.00%       | 1           | 5             | 0            | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 5       | 1           | 20.00%       | 1.25         | 5              | 0.2           | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 1     | 0         | 0.00%      | 1          | 1            | 0           | 0         | 0             | nan%           | nan            | 0                | nan             | 0    | 0        | nan%      | nan       | 0           | nan        | 0    | 0        | nan%      | nan       | 0           | nan        | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 2     | 2         | 100.00%    | inf        | 2            | 1           | 0       | 0           | nan%         | nan          | 0              | nan           | 15    | 4         | 26.67%     | 1.36364    | 13           | 0.307692    | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0     | 0         | nan%       | nan        | 0            | nan         | 11           | 7                | 63.64%            | 2.75              | 10                  | 0.7                | 0      | 0          | nan%        | nan         | 0             | nan          | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0    | 0        | nan%      | nan       | 0           | nan        | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0       | 0           | nan%         | nan          | 0              | nan           | 0     | 0         | nan%       | nan        | 0            | nan         | 0             | 0                 | nan%               | nan                | 0                    | nan                 | 0         | 0             | nan%           | nan            | 0                | nan             | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0          | 0              | nan%            | nan             | 0                 | nan              | 0      | 0          | nan%        | nan         | 0             | nan          | 8        | 0            | 0.00%         | 1             | 8               | 0              | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 0     | 0         | nan%       | nan        | 0            | nan         | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0       | 0           | nan%         | nan          | 0              | nan           | 1     | 0         | 0.00%      | 1          | 1            | 0           | 0           | 0               | nan%             | nan              | 0                  | nan               | 0           | 0               | nan%             | nan              | 0                  | nan               | 0         | 0             | nan%           | nan            | 0                | nan             | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 0               | 0                   | nan%                 | nan                  | 0                      | nan                   | 0      | 0          | nan%        | nan         | 0             | nan          | 0    | 0        | nan%      | nan       | 0           | nan        | 0        | 0            | nan%          | nan           | 0               | nan            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                | 0                    | nan%                  | nan                   | 0                       | nan                    | 0        | 0            | nan%          | nan           | 0               | nan            | 0    | 0        | nan%      | nan       | 0           | nan        | 1           | 0               | 0.00%            | 1                | 1                  | 0                 | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan            | 0     | 0         | nan%       | nan        | 0            | nan         | 0       | 0           | nan%         | nan          | 0              | nan           | 2      | 2          | 100.00%     | inf         | 2             | 1            | 0      | 0          | nan%        | nan         | 0             | nan          | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0           | 0               | nan%             | nan              | 0                  | nan               | 0                                | 0                                    | nan%                                  | nan                                   | 0                                       | nan                                    | 0          | 0              | nan%            | nan             | 0                 | nan              | 0                     | 0                         | nan%                       | nan                        | 0                            | nan                         | 0            | 0                | nan%              | nan               | 0                   | nan                | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 0          | 0              | nan%            | nan             | 0                 | nan              | 0            | 0                | nan%              | nan               | 0                   | nan                | 13        | 3             | 23.08%         | 1.3            | 13               | 0.230769        | 0        | 0            | nan%          | nan           | 0               | nan            | 0        | 0            | nan%          | nan           | 0               | nan            | 0       | 0           | nan%         | nan          | 0              | nan           | 0            | 0                | nan%              | nan               | 0                   | nan                | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 1         | 0             | 0.00%          | 1              | 1                | 0               | 0     | 0         | nan%       | nan        | 0            | nan         | 0        | 0            | nan%          | nan           | 0               | nan            | 1      | 1          | 100.00%     | inf         | 1             | 1            | 0           | 0               | nan%             | nan              | 0                  | nan               | 0     | 0         | nan%       | nan        | 0            | nan         | 10      | 1           | 10.00%       | 1.11111      | 9              | 0.111111      | 0          | 0              | nan%            | nan             | 0                 | nan              | 0        | 0            | nan%          | nan           | 0               | nan            | 19       | 5            | 26.32%        | 1.35714       | 17              | 0.294118       | 0           | 0               | nan%             | nan              | 0                  | nan               | 0    | 0        | nan%      | nan       | 0           | nan        | 0                   | 0                       | nan%                     | nan                      | 0                          | nan                       | 0       | 0           | nan%         | nan          | 0              | nan           | 0      | 0          | nan%        | nan         | 0             | nan          | 7    | 2      | 28.57%  | 1.4     | 6         | 0.333333 | 0      | 0          | nan%        | nan         | 0             | nan          | 0       | 0           | nan%         | nan          | 0              | nan           | 4                    | 0                        | 0.00%                     | 1                         | 4                           | 0                          | 2              | 2                  | 100.00%             | inf                 | 2                     | 1                    | 0       | 0           | nan%         | nan          | 0              | nan           | 0          | 0              | nan%            | nan             | 0                 | nan              | 0         | 0             | nan%           | nan            | 0                | nan             | 2       | 0           | 0.00%        | 1            | 2              | 0             | 0                  | 0                      | nan%                    | nan                     | 0                         | nan                      | 0              | 0                  | nan%                | nan                 | 0                     | nan                  | 0     | 0         | nan%       | nan        | 0            | nan         | 0      | 0          | nan%        | nan         | 0             | nan          | 0        | 0            | nan%          | nan           | 0               | nan\n",
       "... (169 rows omitted)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cases.trend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>date</th> <th> Afghanistan</th> <th> Albania</th> <th> Algeria</th> <th> Andorra</th> <th> Angola</th> <th> Antigua and Barbuda</th> <th> Argentina</th> <th> Armenia</th> <th> Australia</th> <th> Austria</th> <th> Azerbaijan</th> <th> Bahamas</th> <th> Bahrain</th> <th> Bangladesh</th> <th> Barbados</th> <th> Belarus</th> <th> Belgium</th> <th> Belize</th> <th> Benin</th> <th> Bhutan</th> <th> Bolivia</th> <th> Bosnia and Herzegovina</th> <th> Botswana</th> <th> Brazil</th> <th> Brunei</th> <th> Bulgaria</th> <th> Burkina Faso</th> <th> Burma</th> <th> Burundi</th> <th> Cabo Verde</th> <th> Cambodia</th> <th> Cameroon</th> <th> Canada</th> <th> Central African Republic</th> <th> Chad</th> <th> Chile</th> <th> China</th> <th> Colombia</th> <th> Comoros</th> <th> Congo (Brazzaville)</th> <th> Congo (Kinshasa)</th> <th> Costa Rica</th> <th> Cote d'Ivoire</th> <th> Croatia</th> <th> Cuba</th> <th> Cyprus</th> <th> Czechia</th> <th> Denmark</th> <th> Diamond Princess</th> <th> Djibouti</th> <th> Dominica</th> <th> Dominican Republic</th> <th> Ecuador</th> <th> Egypt</th> <th> El Salvador</th> <th> Equatorial Guinea</th> <th> Eritrea</th> <th> Estonia</th> <th> Eswatini</th> <th> Ethiopia</th> <th> Fiji</th> <th> Finland</th> <th> France</th> <th> Gabon</th> <th> Gambia</th> <th> Georgia</th> <th> Germany</th> <th> Ghana</th> <th> Greece</th> <th> Grenada</th> <th> Guatemala</th> <th> Guinea</th> <th> Guinea-Bissau</th> <th> Guyana</th> <th> Haiti</th> <th> Holy See</th> <th> Honduras</th> <th> Hungary</th> <th> Iceland</th> <th> India</th> <th> Indonesia</th> <th> Iran</th> <th> Iraq</th> <th> Ireland</th> <th> Israel</th> <th> Italy</th> <th> Jamaica</th> <th> Japan</th> <th> Jordan</th> <th> Kazakhstan</th> <th> Kenya</th> <th> Korea, South</th> <th> Kosovo</th> <th> Kuwait</th> <th> Kyrgyzstan</th> <th> Laos</th> <th> Latvia</th> <th> Lebanon</th> <th> Lesotho</th> <th> Liberia</th> <th> Libya</th> <th> Liechtenstein</th> <th> Lithuania</th> <th> Luxembourg</th> <th> MS Zaandam</th> <th> Madagascar</th> <th> Malawi</th> <th> Malaysia</th> <th> Maldives</th> <th> Mali</th> <th> Malta</th> <th> Mauritania</th> <th> Mauritius</th> <th> Mexico</th> <th> Moldova</th> <th> Monaco</th> <th> Mongolia</th> <th> Montenegro</th> <th> Morocco</th> <th> Mozambique</th> <th> Namibia</th> <th> Nepal</th> <th> Netherlands</th> <th> New Zealand</th> <th> Nicaragua</th> <th> Niger</th> <th> Nigeria</th> <th> North Macedonia</th> <th> Norway</th> <th> Oman</th> <th> Pakistan</th> <th> Panama</th> <th> Papua New Guinea</th> <th> Paraguay</th> <th> Peru</th> <th> Philippines</th> <th> Poland</th> <th> Portugal</th> <th> Qatar</th> <th> Romania</th> <th> Russia</th> <th> Rwanda</th> <th> Saint Kitts and Nevis</th> <th> Saint Lucia</th> <th> Saint Vincent and the Grenadines</th> <th> San Marino</th> <th> Sao Tome and Principe</th> <th> Saudi Arabia</th> <th> Senegal</th> <th> Serbia</th> <th> Seychelles</th> <th> Sierra Leone</th> <th> Singapore</th> <th> Slovakia</th> <th> Slovenia</th> <th> Somalia</th> <th> South Africa</th> <th> South Sudan</th> <th> Spain</th> <th> Sri Lanka</th> <th> Sudan</th> <th> Suriname</th> <th> Sweden</th> <th> Switzerland</th> <th> Syria</th> <th> Taiwan*</th> <th> Tajikistan</th> <th> Tanzania</th> <th> Thailand</th> <th> Timor-Leste</th> <th> Togo</th> <th> Trinidad and Tobago</th> <th> Tunisia</th> <th> Turkey</th> <th> US</th> <th> Uganda</th> <th> Ukraine</th> <th> United Arab Emirates</th> <th> United Kingdom</th> <th> Uruguay</th> <th> Uzbekistan</th> <th> Venezuela</th> <th> Vietnam</th> <th> West Bank and Gaza</th> <th> Western Sahara</th> <th> Yemen</th> <th> Zambia</th> <th> Zimbabwe</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>07/11/20</td> <td>0.0439336   </td> <td>0.084392 </td> <td>0.0779824</td> <td>nan     </td> <td>0.016    </td> <td>0                   </td> <td>0.0817958 </td> <td>0.0600368</td> <td>0.111111  </td> <td>0.0586836</td> <td>0.0651374  </td> <td>0.428571</td> <td>0.0562296</td> <td>0.0530254  </td> <td>0.833333 </td> <td>0.0402072</td> <td>0.0821717</td> <td>0        </td> <td>0.286154</td> <td>0.166667</td> <td>0.0919728</td> <td>0.113865               </td> <td>0        </td> <td>0.0690824</td> <td>nan    </td> <td>0.0792637</td> <td>0.141304     </td> <td>0.108108 </td> <td>0       </td> <td>0.0536913  </td> <td>0.882353 </td> <td>0.0995738</td> <td>0.0367175</td> <td>0.0305907                </td> <td>0        </td> <td>0.0566069</td> <td>0.228324 </td> <td>0.0793594</td> <td>0.0666667</td> <td>0                   </td> <td>0.0465116        </td> <td>0.0878271  </td> <td>0.105562      </td> <td>0.123566 </td> <td>0.0736842</td> <td>0.0454545</td> <td>0.0548869</td> <td>0        </td> <td>nan              </td> <td>0         </td> <td>nan      </td> <td>0.0898127          </td> <td>0.164083 </td> <td>0.0501549</td> <td>0.0642747   </td> <td>0                 </td> <td>0       </td> <td>0.0357143</td> <td>0.0926244</td> <td>0.14264  </td> <td>0    </td> <td>0.12      </td> <td>0        </td> <td>0       </td> <td>0       </td> <td>0.129032 </td> <td>0.0664551</td> <td>0.0492037</td> <td>0.0932401</td> <td>nan     </td> <td>0.0766641 </td> <td>0.0956633</td> <td>0             </td> <td>0.0131579</td> <td>0.0754132</td> <td>nan      </td> <td>0.045733 </td> <td>0.0588235</td> <td>0.0357143</td> <td>0.0839947</td> <td>0.0739675 </td> <td>0.0641029</td> <td>0.0804094</td> <td>0.111675 </td> <td>0.0816967</td> <td>0.0655967</td> <td>0.0694444</td> <td>0.118115 </td> <td>0.0416667</td> <td>0.0473981  </td> <td>0.066301 </td> <td>0.0575916    </td> <td>0.160251 </td> <td>0.0461613</td> <td>0.0838364  </td> <td>nan  </td> <td>0.131148 </td> <td>0.18259  </td> <td>0        </td> <td>0.111465 </td> <td>0.0695266</td> <td>0             </td> <td>0.0701754 </td> <td>0.0971599  </td> <td>nan        </td> <td>0.16378    </td> <td>0.152866  </td> <td>0.0816327</td> <td>0.12336  </td> <td>0.00578035</td> <td>0       </td> <td>0.0526316  </td> <td>0         </td> <td>0.070146 </td> <td>0.0827506</td> <td>0.142857</td> <td>0.272727 </td> <td>0.2        </td> <td>0.0547455</td> <td>0.0752351  </td> <td>0         </td> <td>0.0141015</td> <td>0.0877573   </td> <td>0.0454545   </td> <td>0         </td> <td>0        </td> <td>0.0764185</td> <td>0.0893099       </td> <td>0.0206897</td> <td>0.0580293</td> <td>0.0504311</td> <td>0.0745131</td> <td>nan              </td> <td>0.0757439</td> <td>0.0608589</td> <td>0.0649164   </td> <td>0.0739215</td> <td>0.101214 </td> <td>0.0481439</td> <td>0.10937  </td> <td>0.0661823</td> <td>0.106576 </td> <td>0                     </td> <td>0           </td> <td>nan                              </td> <td>0          </td> <td>0                     </td> <td>0.0545325    </td> <td>0.0795181</td> <td>0.0765306</td> <td>0          </td> <td>0.0223214    </td> <td>0.0597595 </td> <td>0.092     </td> <td>0.126394 </td> <td>0.0751445</td> <td>0.0966875    </td> <td>0           </td> <td>0        </td> <td>0.114688  </td> <td>0.0463243</td> <td>0.0426136</td> <td>0        </td> <td>0.095417    </td> <td>0       </td> <td>0.5     </td> <td>0.0645586  </td> <td>nan      </td> <td>0.259259 </td> <td>nan         </td> <td>0        </td> <td>0                   </td> <td>0.0617284</td> <td>0.0581568</td> <td>0.0773256</td> <td>0.0388889</td> <td>0.0689453</td> <td>0.053877             </td> <td>0.112335       </td> <td>0.0149254</td> <td>0.0955564  </td> <td>0.0852466 </td> <td>0        </td> <td>0.086877           </td> <td>nan            </td> <td>0.03     </td> <td>0       </td> <td>0.0950119 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/12/20</td> <td>0.0221643   </td> <td>0.0738434</td> <td>0.0775654</td> <td>nan     </td> <td>0.178138 </td> <td>0                   </td> <td>0.0626326 </td> <td>0.0715881</td> <td>0.0797733 </td> <td>0.0865604</td> <td>0.0637959  </td> <td>0       </td> <td>0.0613761</td> <td>0.0535159  </td> <td>0        </td> <td>0.0430023</td> <td>0.158879 </td> <td>0        </td> <td>0       </td> <td>0.222222</td> <td>0.0563646</td> <td>0.053705               </td> <td>0.276873 </td> <td>0.0450642</td> <td>nan    </td> <td>0.029311 </td> <td>0.0315789    </td> <td>0.0285714</td> <td>0       </td> <td>0          </td> <td>0        </td> <td>0        </td> <td>0.0442953</td> <td>0                        </td> <td>0.4      </td> <td>0.0637123</td> <td>0.122995 </td> <td>0.0778123</td> <td>0        </td> <td>0                   </td> <td>0.0461653        </td> <td>0.0790557  </td> <td>0.0845107     </td> <td>0.0455373</td> <td>0.0625   </td> <td>0.259259 </td> <td>0.0314499</td> <td>0        </td> <td>nan              </td> <td>0.0121581 </td> <td>nan      </td> <td>0.101919           </td> <td>0.0497142</td> <td>0.0502562</td> <td>0.0717      </td> <td>0                 </td> <td>0       </td> <td>0        </td> <td>0.0660066</td> <td>0.079397 </td> <td>0    </td> <td>0.03125   </td> <td>0        </td> <td>0       </td> <td>0       </td> <td>0.0769231</td> <td>0.0384545</td> <td>0.0333869</td> <td>0.0709382</td> <td>nan     </td> <td>0.0584195 </td> <td>0.114118 </td> <td>0             </td> <td>0.0895522</td> <td>0.0389474</td> <td>nan      </td> <td>0.0457457</td> <td>0.0520833</td> <td>0.133333 </td> <td>0.0822336</td> <td>0.0734478 </td> <td>0.0588853</td> <td>0.0675155</td> <td>0.0890052</td> <td>0.0790872</td> <td>0.08     </td> <td>0        </td> <td>0.11458  </td> <td>0.0441176</td> <td>0          </td> <td>0.0882627</td> <td>0.0811518    </td> <td>0.0782042</td> <td>0.0795963</td> <td>0.107056   </td> <td>nan  </td> <td>0        </td> <td>0.269919 </td> <td>0.23445  </td> <td>0.0427046</td> <td>0.0623229</td> <td>0             </td> <td>0.0714286 </td> <td>0.117232   </td> <td>nan        </td> <td>0.100978   </td> <td>0.0776772 </td> <td>0.137255 </td> <td>0.157277 </td> <td>0.0170648 </td> <td>0       </td> <td>0.0601504  </td> <td>0         </td> <td>0.0515481</td> <td>0.0526953</td> <td>0       </td> <td>0        </td> <td>0.0757979  </td> <td>0.0524819</td> <td>0.0691824  </td> <td>0.180277  </td> <td>0.0182547</td> <td>0.105759    </td> <td>0           </td> <td>0         </td> <td>0        </td> <td>0.067327 </td> <td>0.061678        </td> <td>0.0296296</td> <td>0.0691428</td> <td>0.0565646</td> <td>0.0868781</td> <td>nan              </td> <td>0.127237 </td> <td>0.0718358</td> <td>0.0949385   </td> <td>0.0885803</td> <td>0.0546684</td> <td>0.0473075</td> <td>0.0700138</td> <td>0.0663631</td> <td>0.0827887</td> <td>0                     </td> <td>0           </td> <td>1                                </td> <td>0          </td> <td>0.125                 </td> <td>0.0516975    </td> <td>0.0721957</td> <td>0.0628284</td> <td>0          </td> <td>0.0755556    </td> <td>0.0655617 </td> <td>0.0327869 </td> <td>0.0520446</td> <td>0.0441989</td> <td>0.0834799    </td> <td>0           </td> <td>0        </td> <td>0.181507  </td> <td>0        </td> <td>0        </td> <td>0        </td> <td>0.0496988   </td> <td>0       </td> <td>0       </td> <td>0.061089   </td> <td>nan      </td> <td>0.0181818</td> <td>nan         </td> <td>0.0952381</td> <td>0                   </td> <td>0.189474 </td> <td>0.0591467</td> <td>0.0742648</td> <td>0.0677966</td> <td>0.0602646</td> <td>0.0535095            </td> <td>0.0882074      </td> <td>0.015873 </td> <td>0.091063   </td> <td>0.0662053 </td> <td>0.117647 </td> <td>0.0677237          </td> <td>nan            </td> <td>0.209945 </td> <td>0       </td> <td>0.00717703</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/13/20</td> <td>0.00114679  </td> <td>0.100086 </td> <td>0.076995 </td> <td>1       </td> <td>0.0736434</td> <td>0                   </td> <td>0.0715176 </td> <td>0.0242473</td> <td>0.108967  </td> <td>0.0394127</td> <td>0.0649398  </td> <td>0.222222</td> <td>0.0688457</td> <td>0.0631071  </td> <td>0        </td> <td>0.0500137</td> <td>0        </td> <td>0        </td> <td>0       </td> <td>0       </td> <td>0.0599684</td> <td>0.0341431              </td> <td>0        </td> <td>0.0375094</td> <td>nan    </td> <td>0.0584559</td> <td>0            </td> <td>0.135135 </td> <td>0.787879</td> <td>0.138122   </td> <td>0.375    </td> <td>0        </td> <td>0.132749 </td> <td>0.0369955                </td> <td>0        </td> <td>0.0572742</td> <td>0        </td> <td>0.0613042</td> <td>0        </td> <td>0                   </td> <td>0.0336538        </td> <td>0.0896861  </td> <td>0.0281093     </td> <td>0.048893 </td> <td>0.0208333</td> <td>0.0357143</td> <td>0.0391437</td> <td>0.250689 </td> <td>nan              </td> <td>0.0149701 </td> <td>nan      </td> <td>0.0689167          </td> <td>0.0446077</td> <td>0.0522652</td> <td>0.0751731   </td> <td>0                 </td> <td>0       </td> <td>0        </td> <td>0.0625   </td> <td>0.0991815</td> <td>0    </td> <td>0.0103093 </td> <td>0.159878 </td> <td>0.102815</td> <td>0       </td> <td>0.126761 </td> <td>0.047567 </td> <td>0.0569973</td> <td>0.0511111</td> <td>nan     </td> <td>0.0302061 </td> <td>0        </td> <td>0             </td> <td>0.0428571</td> <td>0        </td> <td>nan      </td> <td>0.0465847</td> <td>0.12381  </td> <td>0.0645161</td> <td>0.079507 </td> <td>0.0558095 </td> <td>0.0635157</td> <td>0.064923 </td> <td>0.0502513</td> <td>0.116253 </td> <td>0.0578767</td> <td>0.015873 </td> <td>0.075552 </td> <td>0.0645161</td> <td>0.0866231  </td> <td>0.0447443</td> <td>0.0437086    </td> <td>0.0634113</td> <td>0.0581109</td> <td>0.0508791  </td> <td>nan  </td> <td>0.0172414</td> <td>0.125184 </td> <td>0.0550459</td> <td>0.0546875</td> <td>0.105333 </td> <td>0             </td> <td>0.0847458 </td> <td>0.0434174  </td> <td>nan        </td> <td>0.0709527  </td> <td>0.0514019 </td> <td>0.0769231</td> <td>0.0707763</td> <td>0.00377358</td> <td>0       </td> <td>0.0701619  </td> <td>0         </td> <td>0.0534921</td> <td>0.0178739</td> <td>0       </td> <td>0.565217 </td> <td>0.0818859  </td> <td>0.0491761</td> <td>0.172222   </td> <td>0.112094  </td> <td>0.0345075</td> <td>0.0745016   </td> <td>0.0588235   </td> <td>0         </td> <td>0        </td> <td>0.0692989</td> <td>0.0406235       </td> <td>0.0232558</td> <td>0.108043 </td> <td>0.0420241</td> <td>0.0994382</td> <td>nan              </td> <td>0.0375147</td> <td>0.0748856</td> <td>0.034662    </td> <td>0.0698109</td> <td>0.0591647</td> <td>0.0435281</td> <td>0.0622457</td> <td>0.0657783</td> <td>0.0857741</td> <td>0                     </td> <td>0           </td> <td>0                                </td> <td>0          </td> <td>0.157895              </td> <td>0.054202     </td> <td>0.0390819</td> <td>0.0607446</td> <td>0          </td> <td>0.0325581    </td> <td>0.114023  </td> <td>0.00420168</td> <td>0.0298507</td> <td>0.0730337</td> <td>0.0772006    </td> <td>0.798742    </td> <td>0.2847   </td> <td>0.047619  </td> <td>0.0623229</td> <td>0.134483 </td> <td>0.0868182</td> <td>0.0474041   </td> <td>0.142857</td> <td>0       </td> <td>0.0589023  </td> <td>nan      </td> <td>0.0517241</td> <td>nan         </td> <td>0.0126582</td> <td>0                   </td> <td>0.293233 </td> <td>0.060136 </td> <td>0.0727195</td> <td>0.0235294</td> <td>0.0558229</td> <td>0.0464802            </td> <td>0.0716095      </td> <td>0.0333333</td> <td>0.105263   </td> <td>0.0548753 </td> <td>0.0555556</td> <td>0.0734266          </td> <td>nan            </td> <td>0.0868421</td> <td>0       </td> <td>0.104925  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/14/20</td> <td>0.0813821   </td> <td>0.0799334</td> <td>0.0793078</td> <td>0.5     </td> <td>0.0603774</td> <td>0                   </td> <td>0.0816496 </td> <td>0.046041 </td> <td>0.0889559 </td> <td>0.0562404</td> <td>0.0666667  </td> <td>0.25    </td> <td>0.0767955</td> <td>0.0655463  </td> <td>0        </td> <td>0.044553 </td> <td>0.0521127</td> <td>0.133333 </td> <td>0       </td> <td>0       </td> <td>0.0862768</td> <td>0                      </td> <td>0        </td> <td>0.0749281</td> <td>nan    </td> <td>0.0831557</td> <td>0.0128205    </td> <td>0.0263158</td> <td>0       </td> <td>0.043088   </td> <td>0        </td> <td>0        </td> <td>0.0809735</td> <td>0.0471063                </td> <td>0.222222 </td> <td>0.0422127</td> <td>0.244395 </td> <td>0.0866703</td> <td>0.0816327</td> <td>0                   </td> <td>0.0501672        </td> <td>0.0855553  </td> <td>0.0431598     </td> <td>0.0471869</td> <td>0.0434783</td> <td>0.037037 </td> <td>0.0670573</td> <td>0.0771704</td> <td>nan              </td> <td>0.00619195</td> <td>nan      </td> <td>0.0551453          </td> <td>0.0798993</td> <td>0.0540871</td> <td>0.0786925   </td> <td>0                 </td> <td>0       </td> <td>0.0357143</td> <td>0.0704225</td> <td>0.0956194</td> <td>0    </td> <td>0.0652174 </td> <td>0        </td> <td>0       </td> <td>0       </td> <td>0.0547945</td> <td>0.0509789</td> <td>0        </td> <td>0.115619 </td> <td>nan     </td> <td>0.0839337 </td> <td>0.0694935</td> <td>0             </td> <td>0.109589 </td> <td>0        </td> <td>nan      </td> <td>0.0512247</td> <td>0.0973451</td> <td>0.0769231</td> <td>0.0796798</td> <td>0.0677598 </td> <td>0.0681941</td> <td>0.0584292</td> <td>0.153846 </td> <td>0.096434 </td> <td>0.0392022</td> <td>0.046875 </td> <td>0.078768 </td> <td>0.214286 </td> <td>0.0421873  </td> <td>0.10802  </td> <td>0.0519308    </td> <td>0        </td> <td>0.0625352</td> <td>0          </td> <td>nan  </td> <td>0        </td> <td>0.0453258</td> <td>0.0480349</td> <td>0        </td> <td>0.0670171</td> <td>0             </td> <td>0.0169492 </td> <td>0.125      </td> <td>nan        </td> <td>0.0820593  </td> <td>0.0498141 </td> <td>0.0434783</td> <td>0.0840517</td> <td>0.044     </td> <td>0       </td> <td>0.0562061  </td> <td>0         </td> <td>0.0776294</td> <td>0.0802745</td> <td>0       </td> <td>0.439024 </td> <td>0          </td> <td>0.0422905</td> <td>0.127273   </td> <td>0.00449102</td> <td>0.0304222</td> <td>0.058127    </td> <td>0.105263    </td> <td>0.308086  </td> <td>0        </td> <td>0.0545797</td> <td>0.0635893       </td> <td>0.122302 </td> <td>0.0677297</td> <td>0.0466273</td> <td>0.0602835</td> <td>nan              </td> <td>0.106455 </td> <td>0.0726962</td> <td>0.0255366   </td> <td>0.0620497</td> <td>0.0453396</td> <td>0.0548425</td> <td>0.090961 </td> <td>0.0633239</td> <td>0.0915663</td> <td>0                     </td> <td>0           </td> <td>0                                </td> <td>0          </td> <td>0                     </td> <td>0.0524072    </td> <td>0.0291262</td> <td>0.0732694</td> <td>0          </td> <td>0.0447761    </td> <td>0.116874  </td> <td>0.0246914 </td> <td>0.0364964</td> <td>0.0232558</td> <td>0.0681435    </td> <td>0           </td> <td>0.0870702</td> <td>0.0303514 </td> <td>0.087069 </td> <td>0.07     </td> <td>0.0209983</td> <td>0.0513196   </td> <td>0.129412</td> <td>0       </td> <td>0.0632571  </td> <td>nan      </td> <td>0.12069  </td> <td>nan         </td> <td>0.113636 </td> <td>0                   </td> <td>0.0298507</td> <td>0.0605617</td> <td>0.0801719</td> <td>0.0647059</td> <td>0.0567015</td> <td>0.0511806            </td> <td>0.152728       </td> <td>0.123077 </td> <td>0.0842572  </td> <td>0.0676339 </td> <td>0        </td> <td>0.0432409          </td> <td>nan            </td> <td>0.0463918</td> <td>0       </td> <td>0.0612245 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/15/20</td> <td>0.0730515   </td> <td>0.0698439</td> <td>0.0807227</td> <td>0.142857</td> <td>0.119863 </td> <td>0                   </td> <td>0.0908701 </td> <td>0.0690071</td> <td>0.111765  </td> <td>0.0958213</td> <td>0.0686058  </td> <td>0.2     </td> <td>0.061779 </td> <td>0.0734405  </td> <td>0.142857 </td> <td>0.0523308</td> <td>0.0629758</td> <td>0        </td> <td>0       </td> <td>0       </td> <td>0.071109 </td> <td>0.145368               </td> <td>0        </td> <td>0.0706986</td> <td>nan    </td> <td>0.0803324</td> <td>0.0131579    </td> <td>0        </td> <td>0       </td> <td>0.104882   </td> <td>0.04     </td> <td>0        </td> <td>0.0746301</td> <td>0.00972447               </td> <td>0.0526316</td> <td>0.0409452</td> <td>0.0433839</td> <td>0.0782942</td> <td>0        </td> <td>0.170925            </td> <td>0.024911         </td> <td>0.0911887  </td> <td>0.09375       </td> <td>0.107143 </td> <td>0.0618557</td> <td>0.0740741</td> <td>0.0880999</td> <td>0.0953846</td> <td>nan              </td> <td>0.019802  </td> <td>nan      </td> <td>0.0904456          </td> <td>0.0546161</td> <td>0.0552262</td> <td>0.0812931   </td> <td>0                 </td> <td>0       </td> <td>0.037037 </td> <td>0.0812408</td> <td>0.0907923</td> <td>0    </td> <td>-0.0609756</td> <td>0.109112 </td> <td>0.130674</td> <td>0       </td> <td>0.0657895</td> <td>0.0793129</td> <td>0.0574847</td> <td>0.0538922</td> <td>nan     </td> <td>0.0859923 </td> <td>0.0858757</td> <td>0             </td> <td>0.0735294</td> <td>0.121495 </td> <td>nan      </td> <td>0.0887574</td> <td>0.0462963</td> <td>0.0869565</td> <td>0.0852323</td> <td>0.064195  </td> <td>0.0647172</td> <td>0.0607054</td> <td>0.0619048</td> <td>0.0964949</td> <td>0.0553279</td> <td>0.0163934</td> <td>0.16129  </td> <td>0.0434783</td> <td>0.0390392  </td> <td>0.0943512</td> <td>0.0800525    </td> <td>0.0504451</td> <td>0.0658116</td> <td>0.123672   </td> <td>nan  </td> <td>0.0666667</td> <td>0.11911  </td> <td>0        </td> <td>0.115942 </td> <td>0.0339869</td> <td>0             </td> <td>0.107692  </td> <td>0.0801944  </td> <td>nan        </td> <td>0.0772633  </td> <td>0.0841727 </td> <td>0.0526316</td> <td>0.0638298</td> <td>0.0396825 </td> <td>0       </td> <td>0.0383014  </td> <td>0.5       </td> <td>0.0671684</td> <td>0.0968777</td> <td>0       </td> <td>0        </td> <td>0          </td> <td>0.0442478</td> <td>0.14059    </td> <td>0.127152  </td> <td>0.0321063</td> <td>0.110324    </td> <td>0.05        </td> <td>0         </td> <td>0.04     </td> <td>0.075073 </td> <td>0.0901639       </td> <td>0.0757576</td> <td>0.0792841</td> <td>0.048263 </td> <td>0.0730899</td> <td>nan              </td> <td>0.126919 </td> <td>0.0739274</td> <td>0.0611642   </td> <td>0.0609982</td> <td>0.0709555</td> <td>0.0505902</td> <td>0.0883407</td> <td>0.0652298</td> <td>0.0463415</td> <td>0                     </td> <td>0           </td> <td>0                                </td> <td>0          </td> <td>0.217391              </td> <td>0.0537955    </td> <td>0.0799492</td> <td>0.0735849</td> <td>0          </td> <td>0.0825243    </td> <td>0.0834736 </td> <td>0.0730769 </td> <td>0.0683453</td> <td>0.0440252</td> <td>0.0798111    </td> <td>0.0342466   </td> <td>0.106409 </td> <td>0.00961538</td> <td>0.0866142</td> <td>0.111801 </td> <td>0.0610621</td> <td>0.0920502   </td> <td>0.106145</td> <td>0       </td> <td>0.0654088  </td> <td>nan      </td> <td>0.0819672</td> <td>nan         </td> <td>0.1      </td> <td>0                   </td> <td>0.0896552</td> <td>0.059062 </td> <td>0.0780625</td> <td>0.0194805</td> <td>0.0735792</td> <td>0.0382955            </td> <td>0.0651884      </td> <td>0.164384 </td> <td>0.0816058  </td> <td>0.0909487 </td> <td>0.307692 </td> <td>0.064711           </td> <td>nan            </td> <td>0.0271739</td> <td>0       </td> <td>0.0502008 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/16/20</td> <td>0.0235003   </td> <td>0.0778914</td> <td>0.0825921</td> <td>0.681818</td> <td>0.0981013</td> <td>0                   </td> <td>0.07643   </td> <td>0.0739258</td> <td>0.130879  </td> <td>0.0830351</td> <td>0.0612194  </td> <td>0.25    </td> <td>0.0683181</td> <td>0.0580686  </td> <td>0        </td> <td>0.0562676</td> <td>0.211683 </td> <td>0.0833333</td> <td>0.32197 </td> <td>0.222222</td> <td>0.0972452</td> <td>0.0878049              </td> <td>0.416949 </td> <td>0.0805878</td> <td>nan    </td> <td>0.0892977</td> <td>0            </td> <td>0.0555556</td> <td>0.255639</td> <td>0.181818   </td> <td>0.166667 </td> <td>0.276017 </td> <td>0.0928748</td> <td>0.0175159                </td> <td>0.05     </td> <td>0.0598488</td> <td>0.136546 </td> <td>0.112884 </td> <td>0.28     </td> <td>0.139344            </td> <td>0.0334262        </td> <td>0.0966684  </td> <td>0.0392004     </td> <td>0.0711921</td> <td>0.0217391</td> <td>0.1875   </td> <td>0.087484 </td> <td>0.0966767</td> <td>nan              </td> <td>0.0276817 </td> <td>nan      </td> <td>0.0698098          </td> <td>0.0790357</td> <td>0.0581563</td> <td>0.0739161   </td> <td>0                 </td> <td>0.395833</td> <td>0        </td> <td>0.0884831</td> <td>0.11183  </td> <td>0    </td> <td>-0.0526316</td> <td>0.0657554</td> <td>0       </td> <td>0.482759</td> <td>0.0266667</td> <td>0.100774 </td> <td>0.0869728</td> <td>0.0571992</td> <td>nan     </td> <td>0.0621051 </td> <td>0.086911 </td> <td>0.241935      </td> <td>0.0298507</td> <td>0.128855 </td> <td>nan      </td> <td>0.0783593</td> <td>0.131148 </td> <td>0.0447761</td> <td>0.0876147</td> <td>0.0658633 </td> <td>0.0678426</td> <td>0.0658792</td> <td>0.0678733</td> <td>0.0944854</td> <td>0.0772849</td> <td>0.0344828</td> <td>0.0723459</td> <td>0.0684932</td> <td>0.0660859  </td> <td>0.0842   </td> <td>0.078125     </td> <td>0        </td> <td>0.0737323</td> <td>0.034632   </td> <td>nan  </td> <td>0.0172414</td> <td>0.0702836</td> <td>0        </td> <td>0.0526316</td> <td>0.0809769</td> <td>0             </td> <td>0.238095  </td> <td>0.173404   </td> <td>nan        </td> <td>0.127839   </td> <td>0.0677263 </td> <td>0.0309278</td> <td>0.131528 </td> <td>0.0294118 </td> <td>0       </td> <td>0.0800337  </td> <td>0         </td> <td>0.0694259</td> <td>0.0665478</td> <td>0       </td> <td>0.0238095</td> <td>0          </td> <td>0.072397 </td> <td>0.110417   </td> <td>0.0963855 </td> <td>0.0506367</td> <td>0.0983447   </td> <td>0.0526316   </td> <td>0         </td> <td>0.0740741</td> <td>0.0710872</td> <td>0.0428769       </td> <td>0.0336134</td> <td>0.0620674</td> <td>0        </td> <td>0.0710245</td> <td>nan              </td> <td>0.133087 </td> <td>0.07221  </td> <td>0.106174    </td> <td>0.0778219</td> <td>0.0638298</td> <td>0.058296 </td> <td>0.100817 </td> <td>0.0653705</td> <td>0.0881671</td> <td>0                     </td> <td>0.25        </td> <td>0                                </td> <td>0          </td> <td>0.12                  </td> <td>0.0563932    </td> <td>0.0719794</td> <td>0.0784675</td> <td>0.296296   </td> <td>0.0555556    </td> <td>0.0825566 </td> <td>0.0909091 </td> <td>0.0669014</td> <td>0.126374 </td> <td>0.0798845    </td> <td>0.12        </td> <td>0.147999 </td> <td>0.0252765 </td> <td>0        </td> <td>0.181572 </td> <td>0.0535839</td> <td>0.0986796   </td> <td>0.103261</td> <td>0       </td> <td>0.0625     </td> <td>nan      </td> <td>0.0634921</td> <td>nan         </td> <td>0.102273 </td> <td>0                   </td> <td>0.0526316</td> <td>0.0591442</td> <td>0.0869432</td> <td>0.0506329</td> <td>0.0734892</td> <td>0.0398017            </td> <td>0.0732149      </td> <td>0.204819 </td> <td>0.0771679  </td> <td>0.0888982 </td> <td>0        </td> <td>0.0747744          </td> <td>nan            </td> <td>0.0718232</td> <td>0       </td> <td>0.360634  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/17/20</td> <td>0.049579    </td> <td>0.0442122</td> <td>0.0813332</td> <td>0.12    </td> <td>0.0959752</td> <td>0.285714            </td> <td>0.0915316 </td> <td>0.0601934</td> <td>0.0616296 </td> <td>0.112817 </td> <td>0.0592304  </td> <td>0.2     </td> <td>0.0509429</td> <td>0.065842   </td> <td>0        </td> <td>0.0515564</td> <td>0.137296 </td> <td>0        </td> <td>0.344913</td> <td>0.1     </td> <td>0.0945854</td> <td>0.0727564              </td> <td>0        </td> <td>0.0621999</td> <td>nan    </td> <td>0.095299 </td> <td>0.0897436    </td> <td>0        </td> <td>0.05    </td> <td>0.0705329  </td> <td>0        </td> <td>0        </td> <td>0.0844182</td> <td>0.0266223                </td> <td>0.0526316</td> <td>0.0654208</td> <td>0        </td> <td>0.117506 </td> <td>0        </td> <td>0.219824            </td> <td>0.0471698        </td> <td>0.0711403  </td> <td>0.0383369     </td> <td>0.08     </td> <td>0.043956 </td> <td>0.0588235</td> <td>0.0831202</td> <td>0.13649  </td> <td>nan              </td> <td>0.0347222 </td> <td>nan      </td> <td>0.0860769          </td> <td>0.0831535</td> <td>0.0463262</td> <td>0.0594248   </td> <td>nan               </td> <td>0       </td> <td>0.133333 </td> <td>0.0898123</td> <td>0.110923 </td> <td>0    </td> <td>0.133333  </td> <td>0.101289 </td> <td>0.241895</td> <td>0       </td> <td>0.056338 </td> <td>0.104846 </td> <td>0.0529746</td> <td>0.0494071</td> <td>nan     </td> <td>0.0633326 </td> <td>0.072449 </td> <td>0.0915751     </td> <td>0.0714286</td> <td>0.0308924</td> <td>nan      </td> <td>0.0826353</td> <td>0.110236 </td> <td>0.030303 </td> <td>0.0852445</td> <td>0.0615942 </td> <td>0.0650409</td> <td>0.0587006</td> <td>0.13278  </td> <td>0.0685871</td> <td>0.0768463</td> <td>0.0566038</td> <td>0.117647 </td> <td>0.0410959</td> <td>0.0691951  </td> <td>0.0759617</td> <td>0.0524194    </td> <td>0.0975914</td> <td>0.0533681</td> <td>0.0952005  </td> <td>nan  </td> <td>0.0952381</td> <td>0.111726 </td> <td>0.199275 </td> <td>0.056391 </td> <td>0.0639606</td> <td>0.5           </td> <td>0.0722892 </td> <td>0.122288   </td> <td>nan        </td> <td>0.0930118  </td> <td>0.063568  </td> <td>0.160714 </td> <td>0.0272904</td> <td>0.130435  </td> <td>0       </td> <td>0.0461957  </td> <td>0         </td> <td>0.0782114</td> <td>0.0687799</td> <td>0       </td> <td>0.373134 </td> <td>0.502595   </td> <td>0.0481767</td> <td>0.0392562  </td> <td>0.0585987 </td> <td>0.0345181</td> <td>0.103872    </td> <td>0.05        </td> <td>0         </td> <td>0        </td> <td>0.071908 </td> <td>0.075428        </td> <td>0.0813008</td> <td>0.0748221</td> <td>0.100022 </td> <td>0.0640035</td> <td>1                </td> <td>0.0996534</td> <td>0.0738049</td> <td>0.0717061   </td> <td>0.0828444</td> <td>0.0589235</td> <td>0.0526184</td> <td>0.0991807</td> <td>0.0653472</td> <td>0.028436 </td> <td>0                     </td> <td>0           </td> <td>0                                </td> <td>0          </td> <td>0.0416667             </td> <td>0.0541633    </td> <td>0.0422819</td> <td>0.0797721</td> <td>0          </td> <td>0.0588235    </td> <td>0.104041  </td> <td>0.0528302 </td> <td>0.0673759</td> <td>0        </td> <td>0.0788814    </td> <td>0.117647    </td> <td>0.137904 </td> <td>0.0158479 </td> <td>0        </td> <td>0.0984848</td> <td>0.0608251</td> <td>0.0650177   </td> <td>0.103261</td> <td>0       </td> <td>0.0618132  </td> <td>nan      </td> <td>0.05     </td> <td>nan         </td> <td>0.171717 </td> <td>0.5                 </td> <td>0.056962 </td> <td>0.0596842</td> <td>0.0790115</td> <td>0.0324675</td> <td>0.0709317</td> <td>0.0421401            </td> <td>0.072179       </td> <td>0.122222 </td> <td>0.0828611  </td> <td>0.0685238 </td> <td>0.037037 </td> <td>0.0751494          </td> <td>nan            </td> <td>0.0676056</td> <td>0.77674 </td> <td>0.0722291 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>07/18/20</td> <td>0.0241854   </td> <td>0.0812102</td> <td>0.0803583</td> <td>0       </td> <td>0.13649  </td> <td>0                   </td> <td>0.0647995 </td> <td>0.0645477</td> <td>0.10192   </td> <td>0.0879842</td> <td>0.0631833  </td> <td>0.264706</td> <td>0.0699236</td> <td>0.0593103  </td> <td>0        </td> <td>0.0578484</td> <td>0.104598 </td> <td>0        </td> <td>0       </td> <td>0       </td> <td>0.0954972</td> <td>0.0790872              </td> <td>0        </td> <td>0.0532533</td> <td>nan    </td> <td>0.0624005</td> <td>0.0298507    </td> <td>0.0294118</td> <td>0       </td> <td>0.118671   </td> <td>0        </td> <td>0        </td> <td>0.0643192</td> <td>0.169312                 </td> <td>0.111111 </td> <td>0.0590573</td> <td>0        </td> <td>0.105425 </td> <td>0        </td> <td>0                   </td> <td>0.0740375        </td> <td>0.0932692  </td> <td>0.0588877     </td> <td>0.0931727</td> <td>0.0119048</td> <td>0.105263 </td> <td>0.0735677</td> <td>0        </td> <td>nan              </td> <td>0         </td> <td>nan      </td> <td>0.0858836          </td> <td>0.0737132</td> <td>0.0482678</td> <td>0.0709738   </td> <td>nan               </td> <td>0       </td> <td>0.0333333</td> <td>0.134146 </td> <td>0.104211 </td> <td>0    </td> <td>0.223684  </td> <td>0        </td> <td>0       </td> <td>0.394737</td> <td>0.106667 </td> <td>0.0674814</td> <td>0.0636079</td> <td>0.0382294</td> <td>nan     </td> <td>0         </td> <td>0.0628866</td> <td>0.119565      </td> <td>0.0985915</td> <td>0.0947752</td> <td>nan      </td> <td>0.0981549</td> <td>0.153846 </td> <td>0.0895522</td> <td>0.0901049</td> <td>0.0724356 </td> <td>0.0598723</td> <td>0.0599123</td> <td>0.0793651</td> <td>0.0894416</td> <td>0.082124 </td> <td>0.113208 </td> <td>0.146155 </td> <td>0.0746269</td> <td>0          </td> <td>0.123697 </td> <td>0.0475524    </td> <td>0.0567959</td> <td>0.0667514</td> <td>0.648973   </td> <td>nan  </td> <td>0.0597015</td> <td>0.0793651</td> <td>0.148148 </td> <td>0.0117647</td> <td>0.0996564</td> <td>0.333333      </td> <td>0.0804598 </td> <td>0.0714286  </td> <td>nan        </td> <td>0.0880793  </td> <td>0.00381098</td> <td>0.0775862</td> <td>0.0326923</td> <td>0.026738  </td> <td>0.333333</td> <td>0.0929603  </td> <td>0         </td> <td>0.081303 </td> <td>0.089579 </td> <td>0       </td> <td>0        </td> <td>0.0759404  </td> <td>0.0775423</td> <td>0.0665323  </td> <td>0.146542  </td> <td>0.0254124</td> <td>0.114311    </td> <td>0.130435    </td> <td>0         </td> <td>0.0909091</td> <td>0.0764368</td> <td>0.107191        </td> <td>0.0280374</td> <td>0.0607648</td> <td>0.0379567</td> <td>0.0524407</td> <td>0.2              </td> <td>0.134375 </td> <td>0.0735237</td> <td>0.0922381   </td> <td>0.0780926</td> <td>0.0598013</td> <td>0.0535598</td> <td>0.104282 </td> <td>0.0638814</td> <td>0.117904 </td> <td>0                     </td> <td>0           </td> <td>0.333333                         </td> <td>0          </td> <td>0.0833333             </td> <td>0.0550252    </td> <td>0.0830565</td> <td>0.0778935</td> <td>0          </td> <td>0.0734463    </td> <td>0.063602  </td> <td>0.0429688 </td> <td>0.0827586</td> <td>0.0299401</td> <td>0.0764582    </td> <td>0           </td> <td>0        </td> <td>0.00946372</td> <td>0.15211  </td> <td>0.131818 </td> <td>0        </td> <td>0.0790798   </td> <td>0       </td> <td>0       </td> <td>0.0618557  </td> <td>nan      </td> <td>0.106061 </td> <td>nan         </td> <td>0.0776699</td> <td>0.142857            </td> <td>0.0718563</td> <td>0.0601533</td> <td>0.0695354</td> <td>0.0397351</td> <td>0.0745614</td> <td>0.0439878            </td> <td>0.0842052      </td> <td>0.076087 </td> <td>0.0852725  </td> <td>0.0590376 </td> <td>0        </td> <td>0.0903491          </td> <td>nan            </td> <td>0.0146628</td> <td>0.126113</td> <td>0.0679953 </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "date     |  Afghanistan |  Albania  |  Algeria  |  Andorra |  Angola   |  Antigua and Barbuda |  Argentina |  Armenia  |  Australia |  Austria  |  Azerbaijan |  Bahamas |  Bahrain  |  Bangladesh |  Barbados |  Belarus  |  Belgium  |  Belize   |  Benin   |  Bhutan  |  Bolivia  |  Bosnia and Herzegovina |  Botswana |  Brazil   |  Brunei |  Bulgaria |  Burkina Faso |  Burma    |  Burundi |  Cabo Verde |  Cambodia |  Cameroon |  Canada   |  Central African Republic |  Chad     |  Chile    |  China    |  Colombia |  Comoros  |  Congo (Brazzaville) |  Congo (Kinshasa) |  Costa Rica |  Cote d'Ivoire |  Croatia  |  Cuba     |  Cyprus   |  Czechia  |  Denmark  |  Diamond Princess |  Djibouti  |  Dominica |  Dominican Republic |  Ecuador  |  Egypt    |  El Salvador |  Equatorial Guinea |  Eritrea |  Estonia  |  Eswatini |  Ethiopia |  Fiji |  Finland   |  France   |  Gabon   |  Gambia  |  Georgia  |  Germany  |  Ghana    |  Greece   |  Grenada |  Guatemala |  Guinea   |  Guinea-Bissau |  Guyana   |  Haiti    |  Holy See |  Honduras |  Hungary  |  Iceland  |  India    |  Indonesia |  Iran     |  Iraq     |  Ireland  |  Israel   |  Italy    |  Jamaica  |  Japan    |  Jordan   |  Kazakhstan |  Kenya    |  Korea, South |  Kosovo   |  Kuwait   |  Kyrgyzstan |  Laos |  Latvia   |  Lebanon  |  Lesotho  |  Liberia  |  Libya    |  Liechtenstein |  Lithuania |  Luxembourg |  MS Zaandam |  Madagascar |  Malawi    |  Malaysia |  Maldives |  Mali      |  Malta   |  Mauritania |  Mauritius |  Mexico   |  Moldova  |  Monaco  |  Mongolia |  Montenegro |  Morocco  |  Mozambique |  Namibia   |  Nepal    |  Netherlands |  New Zealand |  Nicaragua |  Niger    |  Nigeria  |  North Macedonia |  Norway   |  Oman     |  Pakistan |  Panama   |  Papua New Guinea |  Paraguay |  Peru     |  Philippines |  Poland   |  Portugal |  Qatar    |  Romania  |  Russia   |  Rwanda   |  Saint Kitts and Nevis |  Saint Lucia |  Saint Vincent and the Grenadines |  San Marino |  Sao Tome and Principe |  Saudi Arabia |  Senegal  |  Serbia   |  Seychelles |  Sierra Leone |  Singapore |  Slovakia  |  Slovenia |  Somalia  |  South Africa |  South Sudan |  Spain    |  Sri Lanka |  Sudan    |  Suriname |  Sweden   |  Switzerland |  Syria   |  Taiwan* |  Tajikistan |  Tanzania |  Thailand |  Timor-Leste |  Togo     |  Trinidad and Tobago |  Tunisia  |  Turkey   |  US       |  Uganda   |  Ukraine  |  United Arab Emirates |  United Kingdom |  Uruguay  |  Uzbekistan |  Venezuela |  Vietnam  |  West Bank and Gaza |  Western Sahara |  Yemen    |  Zambia  |  Zimbabwe\n",
       "07/11/20 | 0.0439336    | 0.084392  | 0.0779824 | nan      | 0.016     | 0                    | 0.0817958  | 0.0600368 | 0.111111   | 0.0586836 | 0.0651374   | 0.428571 | 0.0562296 | 0.0530254   | 0.833333  | 0.0402072 | 0.0821717 | 0         | 0.286154 | 0.166667 | 0.0919728 | 0.113865                | 0         | 0.0690824 | nan     | 0.0792637 | 0.141304      | 0.108108  | 0        | 0.0536913   | 0.882353  | 0.0995738 | 0.0367175 | 0.0305907                 | 0         | 0.0566069 | 0.228324  | 0.0793594 | 0.0666667 | 0                    | 0.0465116         | 0.0878271   | 0.105562       | 0.123566  | 0.0736842 | 0.0454545 | 0.0548869 | 0         | nan               | 0          | nan       | 0.0898127           | 0.164083  | 0.0501549 | 0.0642747    | 0                  | 0        | 0.0357143 | 0.0926244 | 0.14264   | 0     | 0.12       | 0         | 0        | 0        | 0.129032  | 0.0664551 | 0.0492037 | 0.0932401 | nan      | 0.0766641  | 0.0956633 | 0              | 0.0131579 | 0.0754132 | nan       | 0.045733  | 0.0588235 | 0.0357143 | 0.0839947 | 0.0739675  | 0.0641029 | 0.0804094 | 0.111675  | 0.0816967 | 0.0655967 | 0.0694444 | 0.118115  | 0.0416667 | 0.0473981   | 0.066301  | 0.0575916     | 0.160251  | 0.0461613 | 0.0838364   | nan   | 0.131148  | 0.18259   | 0         | 0.111465  | 0.0695266 | 0              | 0.0701754  | 0.0971599   | nan         | 0.16378     | 0.152866   | 0.0816327 | 0.12336   | 0.00578035 | 0        | 0.0526316   | 0          | 0.070146  | 0.0827506 | 0.142857 | 0.272727  | 0.2         | 0.0547455 | 0.0752351   | 0          | 0.0141015 | 0.0877573    | 0.0454545    | 0          | 0         | 0.0764185 | 0.0893099        | 0.0206897 | 0.0580293 | 0.0504311 | 0.0745131 | nan               | 0.0757439 | 0.0608589 | 0.0649164    | 0.0739215 | 0.101214  | 0.0481439 | 0.10937   | 0.0661823 | 0.106576  | 0                      | 0            | nan                               | 0           | 0                      | 0.0545325     | 0.0795181 | 0.0765306 | 0           | 0.0223214     | 0.0597595  | 0.092      | 0.126394  | 0.0751445 | 0.0966875     | 0            | 0         | 0.114688   | 0.0463243 | 0.0426136 | 0         | 0.095417     | 0        | 0.5      | 0.0645586   | nan       | 0.259259  | nan          | 0         | 0                    | 0.0617284 | 0.0581568 | 0.0773256 | 0.0388889 | 0.0689453 | 0.053877              | 0.112335        | 0.0149254 | 0.0955564   | 0.0852466  | 0         | 0.086877            | nan             | 0.03      | 0        | 0.0950119\n",
       "07/12/20 | 0.0221643    | 0.0738434 | 0.0775654 | nan      | 0.178138  | 0                    | 0.0626326  | 0.0715881 | 0.0797733  | 0.0865604 | 0.0637959   | 0        | 0.0613761 | 0.0535159   | 0         | 0.0430023 | 0.158879  | 0         | 0        | 0.222222 | 0.0563646 | 0.053705                | 0.276873  | 0.0450642 | nan     | 0.029311  | 0.0315789     | 0.0285714 | 0        | 0           | 0         | 0         | 0.0442953 | 0                         | 0.4       | 0.0637123 | 0.122995  | 0.0778123 | 0         | 0                    | 0.0461653         | 0.0790557   | 0.0845107      | 0.0455373 | 0.0625    | 0.259259  | 0.0314499 | 0         | nan               | 0.0121581  | nan       | 0.101919            | 0.0497142 | 0.0502562 | 0.0717       | 0                  | 0        | 0         | 0.0660066 | 0.079397  | 0     | 0.03125    | 0         | 0        | 0        | 0.0769231 | 0.0384545 | 0.0333869 | 0.0709382 | nan      | 0.0584195  | 0.114118  | 0              | 0.0895522 | 0.0389474 | nan       | 0.0457457 | 0.0520833 | 0.133333  | 0.0822336 | 0.0734478  | 0.0588853 | 0.0675155 | 0.0890052 | 0.0790872 | 0.08      | 0         | 0.11458   | 0.0441176 | 0           | 0.0882627 | 0.0811518     | 0.0782042 | 0.0795963 | 0.107056    | nan   | 0         | 0.269919  | 0.23445   | 0.0427046 | 0.0623229 | 0              | 0.0714286  | 0.117232    | nan         | 0.100978    | 0.0776772  | 0.137255  | 0.157277  | 0.0170648  | 0        | 0.0601504   | 0          | 0.0515481 | 0.0526953 | 0        | 0         | 0.0757979   | 0.0524819 | 0.0691824   | 0.180277   | 0.0182547 | 0.105759     | 0            | 0          | 0         | 0.067327  | 0.061678         | 0.0296296 | 0.0691428 | 0.0565646 | 0.0868781 | nan               | 0.127237  | 0.0718358 | 0.0949385    | 0.0885803 | 0.0546684 | 0.0473075 | 0.0700138 | 0.0663631 | 0.0827887 | 0                      | 0            | 1                                 | 0           | 0.125                  | 0.0516975     | 0.0721957 | 0.0628284 | 0           | 0.0755556     | 0.0655617  | 0.0327869  | 0.0520446 | 0.0441989 | 0.0834799     | 0            | 0         | 0.181507   | 0         | 0         | 0         | 0.0496988    | 0        | 0        | 0.061089    | nan       | 0.0181818 | nan          | 0.0952381 | 0                    | 0.189474  | 0.0591467 | 0.0742648 | 0.0677966 | 0.0602646 | 0.0535095             | 0.0882074       | 0.015873  | 0.091063    | 0.0662053  | 0.117647  | 0.0677237           | nan             | 0.209945  | 0        | 0.00717703\n",
       "07/13/20 | 0.00114679   | 0.100086  | 0.076995  | 1        | 0.0736434 | 0                    | 0.0715176  | 0.0242473 | 0.108967   | 0.0394127 | 0.0649398   | 0.222222 | 0.0688457 | 0.0631071   | 0         | 0.0500137 | 0         | 0         | 0        | 0        | 0.0599684 | 0.0341431               | 0         | 0.0375094 | nan     | 0.0584559 | 0             | 0.135135  | 0.787879 | 0.138122    | 0.375     | 0         | 0.132749  | 0.0369955                 | 0         | 0.0572742 | 0         | 0.0613042 | 0         | 0                    | 0.0336538         | 0.0896861   | 0.0281093      | 0.048893  | 0.0208333 | 0.0357143 | 0.0391437 | 0.250689  | nan               | 0.0149701  | nan       | 0.0689167           | 0.0446077 | 0.0522652 | 0.0751731    | 0                  | 0        | 0         | 0.0625    | 0.0991815 | 0     | 0.0103093  | 0.159878  | 0.102815 | 0        | 0.126761  | 0.047567  | 0.0569973 | 0.0511111 | nan      | 0.0302061  | 0         | 0              | 0.0428571 | 0         | nan       | 0.0465847 | 0.12381   | 0.0645161 | 0.079507  | 0.0558095  | 0.0635157 | 0.064923  | 0.0502513 | 0.116253  | 0.0578767 | 0.015873  | 0.075552  | 0.0645161 | 0.0866231   | 0.0447443 | 0.0437086     | 0.0634113 | 0.0581109 | 0.0508791   | nan   | 0.0172414 | 0.125184  | 0.0550459 | 0.0546875 | 0.105333  | 0              | 0.0847458  | 0.0434174   | nan         | 0.0709527   | 0.0514019  | 0.0769231 | 0.0707763 | 0.00377358 | 0        | 0.0701619   | 0          | 0.0534921 | 0.0178739 | 0        | 0.565217  | 0.0818859   | 0.0491761 | 0.172222    | 0.112094   | 0.0345075 | 0.0745016    | 0.0588235    | 0          | 0         | 0.0692989 | 0.0406235        | 0.0232558 | 0.108043  | 0.0420241 | 0.0994382 | nan               | 0.0375147 | 0.0748856 | 0.034662     | 0.0698109 | 0.0591647 | 0.0435281 | 0.0622457 | 0.0657783 | 0.0857741 | 0                      | 0            | 0                                 | 0           | 0.157895               | 0.054202      | 0.0390819 | 0.0607446 | 0           | 0.0325581     | 0.114023   | 0.00420168 | 0.0298507 | 0.0730337 | 0.0772006     | 0.798742     | 0.2847    | 0.047619   | 0.0623229 | 0.134483  | 0.0868182 | 0.0474041    | 0.142857 | 0        | 0.0589023   | nan       | 0.0517241 | nan          | 0.0126582 | 0                    | 0.293233  | 0.060136  | 0.0727195 | 0.0235294 | 0.0558229 | 0.0464802             | 0.0716095       | 0.0333333 | 0.105263    | 0.0548753  | 0.0555556 | 0.0734266           | nan             | 0.0868421 | 0        | 0.104925\n",
       "07/14/20 | 0.0813821    | 0.0799334 | 0.0793078 | 0.5      | 0.0603774 | 0                    | 0.0816496  | 0.046041  | 0.0889559  | 0.0562404 | 0.0666667   | 0.25     | 0.0767955 | 0.0655463   | 0         | 0.044553  | 0.0521127 | 0.133333  | 0        | 0        | 0.0862768 | 0                       | 0         | 0.0749281 | nan     | 0.0831557 | 0.0128205     | 0.0263158 | 0        | 0.043088    | 0         | 0         | 0.0809735 | 0.0471063                 | 0.222222  | 0.0422127 | 0.244395  | 0.0866703 | 0.0816327 | 0                    | 0.0501672         | 0.0855553   | 0.0431598      | 0.0471869 | 0.0434783 | 0.037037  | 0.0670573 | 0.0771704 | nan               | 0.00619195 | nan       | 0.0551453           | 0.0798993 | 0.0540871 | 0.0786925    | 0                  | 0        | 0.0357143 | 0.0704225 | 0.0956194 | 0     | 0.0652174  | 0         | 0        | 0        | 0.0547945 | 0.0509789 | 0         | 0.115619  | nan      | 0.0839337  | 0.0694935 | 0              | 0.109589  | 0         | nan       | 0.0512247 | 0.0973451 | 0.0769231 | 0.0796798 | 0.0677598  | 0.0681941 | 0.0584292 | 0.153846  | 0.096434  | 0.0392022 | 0.046875  | 0.078768  | 0.214286  | 0.0421873   | 0.10802   | 0.0519308     | 0         | 0.0625352 | 0           | nan   | 0         | 0.0453258 | 0.0480349 | 0         | 0.0670171 | 0              | 0.0169492  | 0.125       | nan         | 0.0820593   | 0.0498141  | 0.0434783 | 0.0840517 | 0.044      | 0        | 0.0562061   | 0          | 0.0776294 | 0.0802745 | 0        | 0.439024  | 0           | 0.0422905 | 0.127273    | 0.00449102 | 0.0304222 | 0.058127     | 0.105263     | 0.308086   | 0         | 0.0545797 | 0.0635893        | 0.122302  | 0.0677297 | 0.0466273 | 0.0602835 | nan               | 0.106455  | 0.0726962 | 0.0255366    | 0.0620497 | 0.0453396 | 0.0548425 | 0.090961  | 0.0633239 | 0.0915663 | 0                      | 0            | 0                                 | 0           | 0                      | 0.0524072     | 0.0291262 | 0.0732694 | 0           | 0.0447761     | 0.116874   | 0.0246914  | 0.0364964 | 0.0232558 | 0.0681435     | 0            | 0.0870702 | 0.0303514  | 0.087069  | 0.07      | 0.0209983 | 0.0513196    | 0.129412 | 0        | 0.0632571   | nan       | 0.12069   | nan          | 0.113636  | 0                    | 0.0298507 | 0.0605617 | 0.0801719 | 0.0647059 | 0.0567015 | 0.0511806             | 0.152728        | 0.123077  | 0.0842572   | 0.0676339  | 0         | 0.0432409           | nan             | 0.0463918 | 0        | 0.0612245\n",
       "07/15/20 | 0.0730515    | 0.0698439 | 0.0807227 | 0.142857 | 0.119863  | 0                    | 0.0908701  | 0.0690071 | 0.111765   | 0.0958213 | 0.0686058   | 0.2      | 0.061779  | 0.0734405   | 0.142857  | 0.0523308 | 0.0629758 | 0         | 0        | 0        | 0.071109  | 0.145368                | 0         | 0.0706986 | nan     | 0.0803324 | 0.0131579     | 0         | 0        | 0.104882    | 0.04      | 0         | 0.0746301 | 0.00972447                | 0.0526316 | 0.0409452 | 0.0433839 | 0.0782942 | 0         | 0.170925             | 0.024911          | 0.0911887   | 0.09375        | 0.107143  | 0.0618557 | 0.0740741 | 0.0880999 | 0.0953846 | nan               | 0.019802   | nan       | 0.0904456           | 0.0546161 | 0.0552262 | 0.0812931    | 0                  | 0        | 0.037037  | 0.0812408 | 0.0907923 | 0     | -0.0609756 | 0.109112  | 0.130674 | 0        | 0.0657895 | 0.0793129 | 0.0574847 | 0.0538922 | nan      | 0.0859923  | 0.0858757 | 0              | 0.0735294 | 0.121495  | nan       | 0.0887574 | 0.0462963 | 0.0869565 | 0.0852323 | 0.064195   | 0.0647172 | 0.0607054 | 0.0619048 | 0.0964949 | 0.0553279 | 0.0163934 | 0.16129   | 0.0434783 | 0.0390392   | 0.0943512 | 0.0800525     | 0.0504451 | 0.0658116 | 0.123672    | nan   | 0.0666667 | 0.11911   | 0         | 0.115942  | 0.0339869 | 0              | 0.107692   | 0.0801944   | nan         | 0.0772633   | 0.0841727  | 0.0526316 | 0.0638298 | 0.0396825  | 0        | 0.0383014   | 0.5        | 0.0671684 | 0.0968777 | 0        | 0         | 0           | 0.0442478 | 0.14059     | 0.127152   | 0.0321063 | 0.110324     | 0.05         | 0          | 0.04      | 0.075073  | 0.0901639        | 0.0757576 | 0.0792841 | 0.048263  | 0.0730899 | nan               | 0.126919  | 0.0739274 | 0.0611642    | 0.0609982 | 0.0709555 | 0.0505902 | 0.0883407 | 0.0652298 | 0.0463415 | 0                      | 0            | 0                                 | 0           | 0.217391               | 0.0537955     | 0.0799492 | 0.0735849 | 0           | 0.0825243     | 0.0834736  | 0.0730769  | 0.0683453 | 0.0440252 | 0.0798111     | 0.0342466    | 0.106409  | 0.00961538 | 0.0866142 | 0.111801  | 0.0610621 | 0.0920502    | 0.106145 | 0        | 0.0654088   | nan       | 0.0819672 | nan          | 0.1       | 0                    | 0.0896552 | 0.059062  | 0.0780625 | 0.0194805 | 0.0735792 | 0.0382955             | 0.0651884       | 0.164384  | 0.0816058   | 0.0909487  | 0.307692  | 0.064711            | nan             | 0.0271739 | 0        | 0.0502008\n",
       "07/16/20 | 0.0235003    | 0.0778914 | 0.0825921 | 0.681818 | 0.0981013 | 0                    | 0.07643    | 0.0739258 | 0.130879   | 0.0830351 | 0.0612194   | 0.25     | 0.0683181 | 0.0580686   | 0         | 0.0562676 | 0.211683  | 0.0833333 | 0.32197  | 0.222222 | 0.0972452 | 0.0878049               | 0.416949  | 0.0805878 | nan     | 0.0892977 | 0             | 0.0555556 | 0.255639 | 0.181818    | 0.166667  | 0.276017  | 0.0928748 | 0.0175159                 | 0.05      | 0.0598488 | 0.136546  | 0.112884  | 0.28      | 0.139344             | 0.0334262         | 0.0966684   | 0.0392004      | 0.0711921 | 0.0217391 | 0.1875    | 0.087484  | 0.0966767 | nan               | 0.0276817  | nan       | 0.0698098           | 0.0790357 | 0.0581563 | 0.0739161    | 0                  | 0.395833 | 0         | 0.0884831 | 0.11183   | 0     | -0.0526316 | 0.0657554 | 0        | 0.482759 | 0.0266667 | 0.100774  | 0.0869728 | 0.0571992 | nan      | 0.0621051  | 0.086911  | 0.241935       | 0.0298507 | 0.128855  | nan       | 0.0783593 | 0.131148  | 0.0447761 | 0.0876147 | 0.0658633  | 0.0678426 | 0.0658792 | 0.0678733 | 0.0944854 | 0.0772849 | 0.0344828 | 0.0723459 | 0.0684932 | 0.0660859   | 0.0842    | 0.078125      | 0         | 0.0737323 | 0.034632    | nan   | 0.0172414 | 0.0702836 | 0         | 0.0526316 | 0.0809769 | 0              | 0.238095   | 0.173404    | nan         | 0.127839    | 0.0677263  | 0.0309278 | 0.131528  | 0.0294118  | 0        | 0.0800337   | 0          | 0.0694259 | 0.0665478 | 0        | 0.0238095 | 0           | 0.072397  | 0.110417    | 0.0963855  | 0.0506367 | 0.0983447    | 0.0526316    | 0          | 0.0740741 | 0.0710872 | 0.0428769        | 0.0336134 | 0.0620674 | 0         | 0.0710245 | nan               | 0.133087  | 0.07221   | 0.106174     | 0.0778219 | 0.0638298 | 0.058296  | 0.100817  | 0.0653705 | 0.0881671 | 0                      | 0.25         | 0                                 | 0           | 0.12                   | 0.0563932     | 0.0719794 | 0.0784675 | 0.296296    | 0.0555556     | 0.0825566  | 0.0909091  | 0.0669014 | 0.126374  | 0.0798845     | 0.12         | 0.147999  | 0.0252765  | 0         | 0.181572  | 0.0535839 | 0.0986796    | 0.103261 | 0        | 0.0625      | nan       | 0.0634921 | nan          | 0.102273  | 0                    | 0.0526316 | 0.0591442 | 0.0869432 | 0.0506329 | 0.0734892 | 0.0398017             | 0.0732149       | 0.204819  | 0.0771679   | 0.0888982  | 0         | 0.0747744           | nan             | 0.0718232 | 0        | 0.360634\n",
       "07/17/20 | 0.049579     | 0.0442122 | 0.0813332 | 0.12     | 0.0959752 | 0.285714             | 0.0915316  | 0.0601934 | 0.0616296  | 0.112817  | 0.0592304   | 0.2      | 0.0509429 | 0.065842    | 0         | 0.0515564 | 0.137296  | 0         | 0.344913 | 0.1      | 0.0945854 | 0.0727564               | 0         | 0.0621999 | nan     | 0.095299  | 0.0897436     | 0         | 0.05     | 0.0705329   | 0         | 0         | 0.0844182 | 0.0266223                 | 0.0526316 | 0.0654208 | 0         | 0.117506  | 0         | 0.219824             | 0.0471698         | 0.0711403   | 0.0383369      | 0.08      | 0.043956  | 0.0588235 | 0.0831202 | 0.13649   | nan               | 0.0347222  | nan       | 0.0860769           | 0.0831535 | 0.0463262 | 0.0594248    | nan                | 0        | 0.133333  | 0.0898123 | 0.110923  | 0     | 0.133333   | 0.101289  | 0.241895 | 0        | 0.056338  | 0.104846  | 0.0529746 | 0.0494071 | nan      | 0.0633326  | 0.072449  | 0.0915751      | 0.0714286 | 0.0308924 | nan       | 0.0826353 | 0.110236  | 0.030303  | 0.0852445 | 0.0615942  | 0.0650409 | 0.0587006 | 0.13278   | 0.0685871 | 0.0768463 | 0.0566038 | 0.117647  | 0.0410959 | 0.0691951   | 0.0759617 | 0.0524194     | 0.0975914 | 0.0533681 | 0.0952005   | nan   | 0.0952381 | 0.111726  | 0.199275  | 0.056391  | 0.0639606 | 0.5            | 0.0722892  | 0.122288    | nan         | 0.0930118   | 0.063568   | 0.160714  | 0.0272904 | 0.130435   | 0        | 0.0461957   | 0          | 0.0782114 | 0.0687799 | 0        | 0.373134  | 0.502595    | 0.0481767 | 0.0392562   | 0.0585987  | 0.0345181 | 0.103872     | 0.05         | 0          | 0         | 0.071908  | 0.075428         | 0.0813008 | 0.0748221 | 0.100022  | 0.0640035 | 1                 | 0.0996534 | 0.0738049 | 0.0717061    | 0.0828444 | 0.0589235 | 0.0526184 | 0.0991807 | 0.0653472 | 0.028436  | 0                      | 0            | 0                                 | 0           | 0.0416667              | 0.0541633     | 0.0422819 | 0.0797721 | 0           | 0.0588235     | 0.104041   | 0.0528302  | 0.0673759 | 0         | 0.0788814     | 0.117647     | 0.137904  | 0.0158479  | 0         | 0.0984848 | 0.0608251 | 0.0650177    | 0.103261 | 0        | 0.0618132   | nan       | 0.05      | nan          | 0.171717  | 0.5                  | 0.056962  | 0.0596842 | 0.0790115 | 0.0324675 | 0.0709317 | 0.0421401             | 0.072179        | 0.122222  | 0.0828611   | 0.0685238  | 0.037037  | 0.0751494           | nan             | 0.0676056 | 0.77674  | 0.0722291\n",
       "07/18/20 | 0.0241854    | 0.0812102 | 0.0803583 | 0        | 0.13649   | 0                    | 0.0647995  | 0.0645477 | 0.10192    | 0.0879842 | 0.0631833   | 0.264706 | 0.0699236 | 0.0593103   | 0         | 0.0578484 | 0.104598  | 0         | 0        | 0        | 0.0954972 | 0.0790872               | 0         | 0.0532533 | nan     | 0.0624005 | 0.0298507     | 0.0294118 | 0        | 0.118671    | 0         | 0         | 0.0643192 | 0.169312                  | 0.111111  | 0.0590573 | 0         | 0.105425  | 0         | 0                    | 0.0740375         | 0.0932692   | 0.0588877      | 0.0931727 | 0.0119048 | 0.105263  | 0.0735677 | 0         | nan               | 0          | nan       | 0.0858836           | 0.0737132 | 0.0482678 | 0.0709738    | nan                | 0        | 0.0333333 | 0.134146  | 0.104211  | 0     | 0.223684   | 0         | 0        | 0.394737 | 0.106667  | 0.0674814 | 0.0636079 | 0.0382294 | nan      | 0          | 0.0628866 | 0.119565       | 0.0985915 | 0.0947752 | nan       | 0.0981549 | 0.153846  | 0.0895522 | 0.0901049 | 0.0724356  | 0.0598723 | 0.0599123 | 0.0793651 | 0.0894416 | 0.082124  | 0.113208  | 0.146155  | 0.0746269 | 0           | 0.123697  | 0.0475524     | 0.0567959 | 0.0667514 | 0.648973    | nan   | 0.0597015 | 0.0793651 | 0.148148  | 0.0117647 | 0.0996564 | 0.333333       | 0.0804598  | 0.0714286   | nan         | 0.0880793   | 0.00381098 | 0.0775862 | 0.0326923 | 0.026738   | 0.333333 | 0.0929603   | 0          | 0.081303  | 0.089579  | 0        | 0         | 0.0759404   | 0.0775423 | 0.0665323   | 0.146542   | 0.0254124 | 0.114311     | 0.130435     | 0          | 0.0909091 | 0.0764368 | 0.107191         | 0.0280374 | 0.0607648 | 0.0379567 | 0.0524407 | 0.2               | 0.134375  | 0.0735237 | 0.0922381    | 0.0780926 | 0.0598013 | 0.0535598 | 0.104282  | 0.0638814 | 0.117904  | 0                      | 0            | 0.333333                          | 0           | 0.0833333              | 0.0550252     | 0.0830565 | 0.0778935 | 0           | 0.0734463     | 0.063602   | 0.0429688  | 0.0827586 | 0.0299401 | 0.0764582     | 0            | 0         | 0.00946372 | 0.15211   | 0.131818  | 0         | 0.0790798    | 0        | 0        | 0.0618557   | nan       | 0.106061  | nan          | 0.0776699 | 0.142857             | 0.0718563 | 0.0601533 | 0.0695354 | 0.0397351 | 0.0745614 | 0.0439878             | 0.0842052       | 0.076087  | 0.0852725   | 0.0590376  | 0         | 0.0903491           | nan             | 0.0146628 | 0.126113 | 0.0679953"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_rates(cases).tail(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_rates(cases).tail(14).top(20).oplot(height=6, width=8)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_new(trend, region):\n",
    "    return trend.last('new ' + region)\n",
    "\n",
    "def get_rate(trend, region):\n",
    "    return trend.last('rate ' + region)\n",
    "\n",
    "def get_active(trend, region):\n",
    "    return trend.last('active ' + region)\n",
    "\n",
    "def get_arate(trend, region):\n",
    "    return trend.last('arate ' + region)\n",
    "\n",
    "def get_val(trend, region):\n",
    "    return trend.last(region)\n",
    "\n",
    "def summary(ts, name, regions):\n",
    "    trend = ts.trend()\n",
    "    smry = Table().with_columns(\n",
    "        name, regions,\n",
    "        'confirmed', [get_val(trend, r) for r in regions],\n",
    "        'new',       [get_new(trend, r) for r in regions],\n",
    "        'rate',      [get_rate(trend, r) for r in regions],\n",
    "        'active',    [get_active(trend, r) for r in regions],\n",
    "        'arate',     [get_arate(trend, r) for r in regions]\n",
    "\n",
    "    )\n",
    "    params = [fit(lin_rate, ts.extract(r).trend().tail(7)) for r in regions]\n",
    "    smry['eff arate'] = [p[0][0] for p in params]\n",
    "    smry['delta']    = [p[0][1] for p in params]\n",
    "    smry['err']      = [p[1][1] for p in params]\n",
    "    return smry.where(np.isfinite(smry['err'])).join(name, \n",
    "                                                     countries.select(['Country/Region', 'Lat']),'Country/Region')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Country</th> <th>confirmed</th> <th>new</th> <th>rate</th> <th>active</th> <th>arate</th> <th>eff arate</th> <th>delta</th> <th>err</th> <th>Lat</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Liechtenstein      </td> <td>86       </td> <td>1    </td> <td>1.01176</td> <td>3     </td> <td>0.333333</td> <td>-0.0972222 </td> <td>0.0575397</td> <td>0.023167  </td> <td>47.14   </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Zambia             </td> <td>2980     </td> <td>170  </td> <td>1.0605 </td> <td>1348  </td> <td>0.126113</td> <td>-0.0857471 </td> <td>0.0567439</td> <td>0.0389394 </td> <td>-13.1339</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Gambia             </td> <td>93       </td> <td>15   </td> <td>1.19231</td> <td>38    </td> <td>0.394737</td> <td>-0.0657895 </td> <td>0.0501361</td> <td>0.0272445 </td> <td>13.4432 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Kyrgyzstan         </td> <td>24606    </td> <td>11505</td> <td>1.87818</td> <td>17728 </td> <td>0.648973</td> <td>-0.0224526 </td> <td>0.0472811</td> <td>0.0288845 </td> <td>41.2044 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Trinidad and Tobago</td> <td>137      </td> <td>1    </td> <td>1.00735</td> <td>7     </td> <td>0.142857</td> <td>-0.0654762 </td> <td>0.0416667</td> <td>0.0240563 </td> <td>10.6918 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Malta              </td> <td>675      </td> <td>1    </td> <td>1.00148</td> <td>3     </td> <td>0.333333</td> <td>-0.0555556 </td> <td>0.0277778</td> <td>0.0160375 </td> <td>35.9375 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Guinea-Bissau      </td> <td>1949     </td> <td>22   </td> <td>1.01142</td> <td>184   </td> <td>0.119565</td> <td>-0.0275588 </td> <td>0.0240552</td> <td>0.0111361 </td> <td>11.8037 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Congo (Brazzaville)</td> <td>2633     </td> <td>0    </td> <td>1      </td> <td>1076  </td> <td>0       </td> <td>-0.00407492</td> <td>0.0200962</td> <td>0.0133435 </td> <td>-0.228  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Uruguay            </td> <td>1044     </td> <td>7    </td> <td>1.00675</td> <td>92    </td> <td>0.076087</td> <td>0.0311884  </td> <td>0.0180434</td> <td>0.00924965</td> <td>-32.5228</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Antigua and Barbuda</td> <td>76       </td> <td>0    </td> <td>1      </td> <td>8     </td> <td>0       </td> <td>-0.0238095 </td> <td>0.0170068</td> <td>0.0153376 </td> <td>17.0608 </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (164 rows omitted)</p>"
      ],
      "text/plain": [
       "Country             | confirmed | new   | rate    | active | arate    | eff arate   | delta     | err        | Lat\n",
       "Liechtenstein       | 86        | 1     | 1.01176 | 3      | 0.333333 | -0.0972222  | 0.0575397 | 0.023167   | 47.14\n",
       "Zambia              | 2980      | 170   | 1.0605  | 1348   | 0.126113 | -0.0857471  | 0.0567439 | 0.0389394  | -13.1339\n",
       "Gambia              | 93        | 15    | 1.19231 | 38     | 0.394737 | -0.0657895  | 0.0501361 | 0.0272445  | 13.4432\n",
       "Kyrgyzstan          | 24606     | 11505 | 1.87818 | 17728  | 0.648973 | -0.0224526  | 0.0472811 | 0.0288845  | 41.2044\n",
       "Trinidad and Tobago | 137       | 1     | 1.00735 | 7      | 0.142857 | -0.0654762  | 0.0416667 | 0.0240563  | 10.6918\n",
       "Malta               | 675       | 1     | 1.00148 | 3      | 0.333333 | -0.0555556  | 0.0277778 | 0.0160375  | 35.9375\n",
       "Guinea-Bissau       | 1949      | 22    | 1.01142 | 184    | 0.119565 | -0.0275588  | 0.0240552 | 0.0111361  | 11.8037\n",
       "Congo (Brazzaville) | 2633      | 0     | 1       | 1076   | 0        | -0.00407492 | 0.0200962 | 0.0133435  | -0.228\n",
       "Uruguay             | 1044      | 7     | 1.00675 | 92     | 0.076087 | 0.0311884   | 0.0180434 | 0.00924965 | -32.5228\n",
       "Antigua and Barbuda | 76        | 0     | 1       | 8      | 0        | -0.0238095  | 0.0170068 | 0.0153376  | 17.0608\n",
       "... (164 rows omitted)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "case_sum = summary(cases, 'Country', regions)\n",
    "case_sum.sort('delta', descending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "name = 'Country'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "def spread(summary, param):\n",
    "    summary.select(name, param).sort(param).scatter(name, width=14)\n",
    "    _ = plots.xticks(rotation=90, fontsize=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spread(case_sum, 'rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spread(case_sum, 'arate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spread(case_sum, 'delta')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "def label_point(summary, country, x, y):\n",
    "    t = summary.where(name, country)\n",
    "    if np.isfinite(t[x][0]) and np.isfinite(t[y][0]) :\n",
    "        plots.text(t[x][0], t[y][0], country)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Country</th> <th>confirmed</th> <th>new</th> <th>rate</th> <th>active</th> <th>arate</th> <th>eff arate</th> <th>delta</th> <th>err</th> <th>Lat</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Afghanistan</td> <td>35301    </td> <td>72  </td> <td>1.00204</td> <td>2977  </td> <td>0.0241854</td> <td>0.0374693</td> <td>0.000685317 </td> <td>0.00456099 </td> <td>33.9391 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Algeria    </td> <td>22549    </td> <td>601 </td> <td>1.02738</td> <td>7479  </td> <td>0.0803583</td> <td>0.0773706</td> <td>0.000639004 </td> <td>0.000201871</td> <td>28.0339 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Argentina  </td> <td>122524   </td> <td>3223</td> <td>1.02702</td> <td>49738 </td> <td>0.0647995</td> <td>0.0755917</td> <td>0.000589041 </td> <td>0.00179929 </td> <td>-38.4161</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Armenia    </td> <td>34462    </td> <td>461 </td> <td>1.01356</td> <td>7142  </td> <td>0.0645477</td> <td>0.0525899</td> <td>0.00174529  </td> <td>0.00264401 </td> <td>40.0691 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Australia  </td> <td>11802    </td> <td>361 </td> <td>1.03155</td> <td>3542  </td> <td>0.10192  </td> <td>0.102146 </td> <td>-0.000791815</td> <td>0.0036041  </td> <td>-32.1063</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Austria    </td> <td>19573    </td> <td>134 </td> <td>1.00689</td> <td>1523  </td> <td>0.0879842</td> <td>0.0564512</td> <td>0.00603377  </td> <td>0.00317054 </td> <td>47.5162 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Azerbaijan </td> <td>27133    </td> <td>497 </td> <td>1.01866</td> <td>7866  </td> <td>0.0631833</td> <td>0.0660027</td> <td>-0.000544381</td> <td>0.000441716</td> <td>40.1431 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Bahrain    </td> <td>36004    </td> <td>531 </td> <td>1.01497</td> <td>7594  </td> <td>0.0699236</td> <td>0.0631475</td> <td>0.000322535 </td> <td>0.00137818 </td> <td>26.0275 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Bangladesh </td> <td>202066   </td> <td>2709</td> <td>1.01359</td> <td>45675 </td> <td>0.0593103</td> <td>0.0573818</td> <td>0.00117148  </td> <td>0.0010444  </td> <td>23.685  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Belarus    </td> <td>65953    </td> <td>171 </td> <td>1.0026 </td> <td>2956  </td> <td>0.0578484</td> <td>0.0414392</td> <td>0.00229522  </td> <td>0.000487087</td> <td>53.7098 </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (65 rows omitted)</p>"
      ],
      "text/plain": [
       "Country     | confirmed | new  | rate    | active | arate     | eff arate | delta        | err         | Lat\n",
       "Afghanistan | 35301     | 72   | 1.00204 | 2977   | 0.0241854 | 0.0374693 | 0.000685317  | 0.00456099  | 33.9391\n",
       "Algeria     | 22549     | 601  | 1.02738 | 7479   | 0.0803583 | 0.0773706 | 0.000639004  | 0.000201871 | 28.0339\n",
       "Argentina   | 122524    | 3223 | 1.02702 | 49738  | 0.0647995 | 0.0755917 | 0.000589041  | 0.00179929  | -38.4161\n",
       "Armenia     | 34462     | 461  | 1.01356 | 7142   | 0.0645477 | 0.0525899 | 0.00174529   | 0.00264401  | 40.0691\n",
       "Australia   | 11802     | 361  | 1.03155 | 3542   | 0.10192   | 0.102146  | -0.000791815 | 0.0036041   | -32.1063\n",
       "Austria     | 19573     | 134  | 1.00689 | 1523   | 0.0879842 | 0.0564512 | 0.00603377   | 0.00317054  | 47.5162\n",
       "Azerbaijan  | 27133     | 497  | 1.01866 | 7866   | 0.0631833 | 0.0660027 | -0.000544381 | 0.000441716 | 40.1431\n",
       "Bahrain     | 36004     | 531  | 1.01497 | 7594   | 0.0699236 | 0.0631475 | 0.000322535  | 0.00137818  | 26.0275\n",
       "Bangladesh  | 202066    | 2709 | 1.01359 | 45675  | 0.0593103 | 0.0573818 | 0.00117148   | 0.0010444   | 23.685\n",
       "Belarus     | 65953     | 171  | 1.0026  | 2956   | 0.0578484 | 0.0414392 | 0.00229522   | 0.000487087 | 53.7098\n",
       "... (65 rows omitted)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "case_sum.scatter('confirmed', 'rate')\n",
    "_ = plots.xticks(rotation=90)\n",
    "plots.xlim(0,10000)\n",
    "case_sum.where(case_sum['confirmed'] > 10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 10000)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "case_sum.scatter('confirmed', 'delta')\n",
    "plots.xlim(0,10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "case_sum.scatter('delta', 'arate')\n",
    "for c in case_sum.where(case_sum['delta'] > 0.015)[name] :\n",
    "    label_point(case_sum, c, 'delta', 'arate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Country</th> <th>confirmed</th> <th>new</th> <th>rate</th> <th>active</th> <th>arate</th> <th>eff arate</th> <th>delta</th> <th>err</th> <th>Lat</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Kyrgyzstan</td> <td>24606    </td> <td>11505</td> <td>1.87818</td> <td>17728 </td> <td>0.648973 </td> <td>-0.0224526</td> <td>0.0472811  </td> <td>0.0288845 </td> <td>41.2044 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Gambia    </td> <td>93       </td> <td>15   </td> <td>1.19231</td> <td>38    </td> <td>0.394737 </td> <td>-0.0657895</td> <td>0.0501361  </td> <td>0.0272445 </td> <td>13.4432 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Lesotho   </td> <td>359      </td> <td>48   </td> <td>1.15434</td> <td>324   </td> <td>0.148148 </td> <td>0.0586196 </td> <td>0.0077142  </td> <td>0.0155352 </td> <td>-29.61  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Namibia   </td> <td>1203     </td> <td>125  </td> <td>1.11596</td> <td>853   </td> <td>0.146542 </td> <td>0.0701537 </td> <td>0.00586825 </td> <td>0.0105792 </td> <td>-22.9576</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Angola    </td> <td>687      </td> <td>49   </td> <td>1.0768 </td> <td>359   </td> <td>0.13649  </td> <td>0.0737619 </td> <td>0.00673189 </td> <td>0.00776932</td> <td>-11.2027</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Bahamas   </td> <td>138      </td> <td>9    </td> <td>1.06977</td> <td>34    </td> <td>0.264706 </td> <td>0.231676  </td> <td>-0.00135387</td> <td>0.0195224 </td> <td>25.0259 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Eswatini  </td> <td>1729     </td> <td>110  </td> <td>1.06794</td> <td>820   </td> <td>0.134146 </td> <td>0.0648858 </td> <td>0.00593393 </td> <td>0.00290054</td> <td>-26.5225</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Suriname  </td> <td>1001     </td> <td>58   </td> <td>1.06151</td> <td>440   </td> <td>0.131818 </td> <td>0.042183  </td> <td>0.0154753  </td> <td>0.00718934</td> <td>3.9193  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Zambia    </td> <td>2980     </td> <td>170  </td> <td>1.0605 </td> <td>1348  </td> <td>0.126113 </td> <td>-0.0857471</td> <td>0.0567439  </td> <td>0.0389394 </td> <td>-13.1339</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Madagascar</td> <td>6849     </td> <td>382  </td> <td>1.05907</td> <td>4337  </td> <td>0.0880793</td> <td>0.117324  </td> <td>-0.00480802</td> <td>0.00477449</td> <td>-18.7669</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "Country    | confirmed | new   | rate    | active | arate     | eff arate  | delta       | err        | Lat\n",
       "Kyrgyzstan | 24606     | 11505 | 1.87818 | 17728  | 0.648973  | -0.0224526 | 0.0472811   | 0.0288845  | 41.2044\n",
       "Gambia     | 93        | 15    | 1.19231 | 38     | 0.394737  | -0.0657895 | 0.0501361   | 0.0272445  | 13.4432\n",
       "Lesotho    | 359       | 48    | 1.15434 | 324    | 0.148148  | 0.0586196  | 0.0077142   | 0.0155352  | -29.61\n",
       "Namibia    | 1203      | 125   | 1.11596 | 853    | 0.146542  | 0.0701537  | 0.00586825  | 0.0105792  | -22.9576\n",
       "Angola     | 687       | 49    | 1.0768  | 359    | 0.13649   | 0.0737619  | 0.00673189  | 0.00776932 | -11.2027\n",
       "Bahamas    | 138       | 9     | 1.06977 | 34     | 0.264706  | 0.231676   | -0.00135387 | 0.0195224  | 25.0259\n",
       "Eswatini   | 1729      | 110   | 1.06794 | 820    | 0.134146  | 0.0648858  | 0.00593393  | 0.00290054 | -26.5225\n",
       "Suriname   | 1001      | 58    | 1.06151 | 440    | 0.131818  | 0.042183   | 0.0154753   | 0.00718934 | 3.9193\n",
       "Zambia     | 2980      | 170   | 1.0605  | 1348   | 0.126113  | -0.0857471 | 0.0567439   | 0.0389394  | -13.1339\n",
       "Madagascar | 6849      | 382   | 1.05907 | 4337   | 0.0880793 | 0.117324   | -0.00480802 | 0.00477449 | -18.7669"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "case_sum.sort('rate', descending = True).take[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "largest_rate = case_sum.sort('arate', descending = True).take[:15]\n",
    "largest_rate.scatter('active', 'arate')\n",
    "for c in largest_rate[name] :\n",
    "    label_point(case_sum, c, 'active', 'arate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "case_sum.scatter('active', 'Lat')\n",
    "_ = plots.xticks(rotation=90)\n",
    "for c in case_sum.sort('active', descending = True).take[:10][name] :\n",
    "    label_point(case_sum, c, 'active', 'Lat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "case_sum.scatter('rate', 'Lat')\n",
    "_ = plots.plot([min(case_sum['rate']),max(case_sum['rate'])], [23.5, 23.5])\n",
    "_ = plots.plot([min(case_sum['rate']),max(case_sum['rate'])], [-23.5, -23.5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3yD6NQ97nq42aiMh7GOz9SC5BVEzJKHVNLn/OFNiYxvEjX+125y5fbxURaOTy50yBjSN7kbyx66UvgqgnRpViSkapa/ywJCngyF4kb+x66Yvd7jwxqvTVRk2Byle7GhJ1hyN7kbwxOhNTd+8uT7Tb0T771D1f/DkTOcJgL5I1lQE4Hp2JTZ2IDaJtXy9CpQQEoMVgEJWWYQrG//hhSVLANI5I1lRGeFiow1SGO6mTqpobWFhQjNl5hbbDStq+3on/+wonznwl+rWZgiEigCN70YRbG5SJ4U7qpLMyx7avZzKbbe0Q89ocVRIRwJG9aM5M0LozIVdZXYvzmjKc/fo7nNeU4VpVnd3rhYWGIjw81KXXJqLgxWAvkjOjdXdSJ5crqtCsN8BiEdCsN+ByxXW717vnzuG4Z+xwpmWIyClM44jkzAStO6mT9LRkNDfrYTCaEKkMR3past3rWSdrm/UG23O4QpOIHGGwF8laPldWrvfqiDo1SQ1AYaueSU1KAPBjQD926nOYTWYM7p+GFr0Ra7fuhyCA2xkQUbcY7EXyxLGEYnRVk22dM2hpMcAiCNCUfY/hGemo1TZArzfgvOYqjCYTwsPC0PXpu0QUrBjsJaarFJB1zkAZHoYWvQFGo8mWTjpx5ms06w0IUShseX4iorY4QetDndXQi2WtyBnYLxUqVThUqnBbOik9LRmRKiUUCgUiVUqkpyV78bcgIjniyN6H3NkquG16Z9I9Y+wmYbvK8xMRWTHY+5Czi63EVtlw7xUicoTB3oec3adG7DcBrpIlIkeYs/chZxdbcR90IvIUjuy9oKv0i7Mj8K6+CXARFRE5iyN7L/DUMXRdfRPgMXdE5CyO7EVy5lhCT6VfHNXcu/v6RBQ8OLIXyRu7Xrpad89j7ojIWQz2Inlj10tX0zE8kISInMU0jkje2PVSzAdIV5Ox3b0+J3CJqD2O7EVy5lhCscSkY1wZ/XMCl4jaY7AXyTqaLsyfjc0rczwyUrZ+gFgEC65UXEdldV2H3L0rk7GcwCWi9hjs/cj6AZKapEZ6WgoUbVbKWrkyGcsJ3K65sxkdkZwx2EtAdyPx7iZjuwpcnMDtGlNcFKw4QSsB3e2Z091kbFd753CvnK4xxUXBiiN7kayj6PzCPR7/+v987kz0jI3C+YtX8bXmCj4p/RLTc1/s8n2sbfnrJ//EeU0ZDAYjA5dITHFRsGKwF8mZRVWOtE+/AEBkhApDBtwGBRS4qWvCec3VLt/H2pbQ0BA06w3QlH3PwCUSU1wUrBRarVbwdyPkYHZeIQwGE/4y9gl/N4WIApB2Th+vvj5H9iK1/fpPRCQ3HNmLVF2jxdqt+1FW7ngjNEcWFhTbTcha0wlrt+7Htao6XK64jvS0ZKQmqTt9H2tb2p5MJfcVshqNBhkZGf5uRsBhv3qHHPuVwd5Jzvwhd7VtQSAGa3fJ8R+PHLBfvUOO/crSSzc42oPGldJIb+5rwz1ziIIXc/ZucLRAx5WablcX/YhZGcoFRUTBS9LBftOmTbj//vtx2223YeDAgXjsscfw9ddf290jCALWrVuHoUOHIiUlBVOmTMH58+d90j5HwdyVmm5XPiCqam7g3+a+gPf/XorPzn2HKxVVnQZyLigiCl6SDvaffvop5s6di7/85S84cuQIwsLC8PDDD+PGjRu2ezZv3oyioiK89NJL+Pjjj5GYmIhHHnkEDQ3eD2SOgrkrNd2ufECsLToA7c1GCALQYjDi4tVrnQZyLigiCl6SDvaHDx/GrFmzkJmZieHDh2Pbtm2oqanBqVOnALSO6ouLi7Fo0SJMnToVmZmZKC4uhk6nw6FDh7zePkfB3Jqb37MpX/ROma58QNTVN0AVHgZBEKAAYDAYOw3kXFBEFLxkNUGr0+lgsVgQH98aNMvKylBVVYWJEyfa7omMjMT48eNRUlKCOXPmeLU93tiDxpXXTIiLwYC+vXHpaiX0RhPiYqM6DeTcM4coeMkq2C9btgy33347srKyAABVVVUAgMTERLv7EhMTUVlZ2eXraDQat9rh7vM9bebPsrFt/19hTlWjoqoOifHRyF/7GhbMfBDqePmkaqTWr4GC/eodUutXR6Wgsgn2K1aswKlTp/DBBx8gNDTU7jHFrUlHK0EQOlxry536WCnV19qXUsYhXBWBHlHRCFEo0Kg348D7JbIZyUupXwMJ+9U75Nivsgj2y5cvx+HDh3H06FGkp6fbricnJwMAqqurkZaWZrteU1PTYbQfiNrX8X9z6SqGDewHoPNqG9bZEwUvSU/QAsDSpUtx6NAhHDlyBIMHD7Z7rF+/fkhOTsaxY8ds11paWnDy5ElkZ2f7uqk+176UElB0W23DOnui4CXpkf3ixYvx1ltv4c0330R8fLwtRx8VFYXo6GgoFArk5ORg48aNyMjIwKBBg7BhwwZERUXh0Ucf9WhbrKPiqxXi9sbxxSjaeuiJwWDEd2XfAwJwpd2+Om2xzp4oeEk62O/cuRMAMHXqVLvrS5cuxfLlywEACxcuRHNzM5YsWQKtVouxY8fi8OHDiInx7MTk4jXb8bfjZ2E0mxH+uQba+ga8vim/y/u72irBk6ybp3188nNAAAb3T0NYeBj6JCd0+l7dnYhFRIGNG6GJ1Gfc4zAYTYAgAAoFVOFhqDi1r8v7rfvfWymVYdjTzYeDO8S+l3UDtmtVtbhcUdXtzpq+JscJLzlgv3qHHPtV8jl7qbCYLa2BHgAEAWazpdv7fblaVex7WevseyepkZ6WghBFCHP3REGCwV4kdUIszGYLTGYzzGYL1Amx3d7vy9Wq3b1XZxukMXdPFHwknbOXkjHDB6HuRkNrzj40FGOHD7I91tVkrK9q3Lt7L+vcgclowpkvNTh26nOolOHonZiAyAgVc/dEQYIje5Fa9AYkxMcgNioSCfExaNYbbY9JraSx7Wj+2KmzMBlN0Fz5HnqjCS0tBqQmqXH9hzrukUMURJwK9rm5ubhy5Uqnj129ehW5ubmeaJMkXa6oQrPeAIsgoFlvwOWK67bH/JEW6W7/+rYfPmazBd9eqYDR1Dq5rAwPQ4RKiSEDb3NqgzYikjengv2+fftQW1vb6WN1dXXYvz9wJ/p6J/ZEc4seuqZmNLfo0Tuxp+0xf2wd3N23ibYfPoP69UFoaChUqnCoVOEY2C+VqRuiIOR0GqerPWeqqqoQGRnpdoOkqryyBmazGRAAs9mM8soa22Penox1dpK17YePUhmO+8eNwkd7XsJP7x2D2JgeTN0QBSGHE7RHjx7Fn//8Z9vP69atQ0JCgt091i0KRo0a5fkWSoTBaLz1QSdAAQWMxh9z9t6ejO1sgVZ3C6Ssi63aH2gul03RyHXtiwVm/iwb8qoGJ29xGOwrKipw8uRJAK2j+i+//BJKpdLuHpVKhaysLKxcudI7rZQAs9kCg8EE4db/m82+W4vW2Sh+44p5dgF93szJWFhQ7PVNzriZmrS1Hxhs2/9XjLtrjL+bRRLgMNjn5OQgJ6d1RDhy5Ejs3bsXt99+u9cbJjUNjc0Q0BrgBQANjU0+e+/ORvHtR+oLC4q9vj0D4JttIMh17QcG2gbf/T0laXOqzv6LL77wVjskr0eECiaTGRaLBSEhIYiMUDl8jqdGwZ2lZdrzVUUQF2RJW/uBQVxMD383iSTCpUVVWq0WFy9eREtLS4fH7rnnHrcbJUXRUZG4qWu89ZOA6CjHk9GeGgWLybc7u8mZqx9E3ExN2toPDGb+LPC3+iZxnAr2LS0t+M///E+8/fbbEITOc9Z1dXUeaZjUZPRLxdVr1bBYBIQICgxOT3X4HF+OgsWM/tty9YPI2fch32o/MJDa0XnkP04F+/Xr1+PTTz9FcXEx5s+fjw0bNkClUmHfvn2oqqrC7373O2+10+8uXC5Hz7gYmM1mhIaG4vylcofP8eUo2NlqG1c/iFjVQyRPTtXZHzlyBPn5+fjFL34BABg7dixmzZqF9957DyNGjMBHH33klUZKg8Ju10ug6zNurXy5GZqzxC4E626lLhHJh1PBvqKiAkOHDkVoaCjCw8PR1PTjTP+sWbPw9ttve7yBUpE9aihUqnCEKACVKhzZo4Y6fI51FCzFbQnEfhBJbd8fInKNU2mchIQENDa2TlL26dMH586dw/jx4wEAtbW1nU7YBoo1i5/E2q37UVb+47GE3uLK5KmzzxGbjmH1DVFgcGpkf+edd9rKL//93/8da9aswaZNm7Blyxa88MILGDdunFcaKQUCBHQxJ+1xroymvTUC98e+P0TkeU6N7BctWoTy8taJycWLF+PSpUtYu3YtzGYzsrKysHHjRq80UgqswdRoMnt9MVFXo+nuRu+dPccTdf6sviEKDE4F+9GjR2P06NEAgJiYGOzZswd6vR56vR5nzpzBY489hhMnTnilof7mzXRG+6AcoVSiRW+0q+KpqrmBf5v7Ampv3ESL3oDICBVOnPka7+5ajaRe8Z1W/niizp/VN0SBwe3DS1QqFWJjY1FfX48LFy54ok2SFKFU4ty3l3H+YjnOfXsZEe32B3JH+xRMSAg6TJ6uLTqA+ps6NDa1wGA0obGpGfU3dbZ0TWcTrsy3E5EVjyUU6cednRWAAOgNeo9tPNY+KDe1GLAq7wnbaH9N0X5UVtdBGR4OQRBaR+8WAcrwcFsA72wEztWuRGTFYwlFatYbMGJwfwwbmIYRQ/rj7PnLHpsQbTsJ2qI34MLFcvx09nJ89OkZ6HTNuFZdh8sV1zGwXyrCwkIhCALCw8IwsF9qtwFcynX+RORbHNmLFKFU4sw5DVpa9IiIUAECPJYiaTsJeqm8Er0TE3DhYjksggBN2fcYnpGO9LRk9ElWQ6kMQ1lFFdLTUtDbQQBnvp2IrBwG+67OnG2vurra3bZIWvs0jkoVDos1peJmiqRtUJ6dVwiDwQRleBha9AYYjSZYBAGpSWrJB27udU8kXQ6D/ejRo7s8irAtQRBE3SdX1jROY2MjoqKiYBEs6BkXhVOfnQegQHxMFKprtG4HN9s3CL0RzS16xMdGySYFw73uiaTLYbAvKiryRTskzzrZCcA20gaAIQP63jokotEjwc36eRkWGoKesdG4967h2LxSHgGT1T9E0uUw2D/++OO+aIfkWfPqZeV620j7ubXbPR7crN8grJpaDG6/pq+w+odIujhBK5I1r67RaJCR0XqEs6Pg5koO2xMB01+5c662JZIuhVar9d3J2QGgbbCvrtF2CG5tg2rbc2EtgoA+yQkO0zyOXlOMtu/bojegsroWQwbeJulJ07b9Sp7DfvUOOfYrR/ZucFTa6EoO29Frihm1t33fi2XXoDea7NYDcNKUKPgw2ItkDbJXK37c4tgXKZn2xFS8tH1fg9EIVXg4AMcfOCydJApcXEErUme7XjrijRWsYr4ttH3fuNhoDOjbG4DjLYp5UAlR4GKwF8nVlMzyp3+JhLgY2x437h7rJ2Z/+bYnZL27azUG9E0R9YHD0kmiwMU0jkjt6+zFpmQ8vdDI2YoXZ7ZMYOkkUeBisBepszp7MTw9WvbmfjcsnSQKXAz2InVWZy+GnEbL3DiNKHAxZ+9lbSdL42Oi0Nyix+y8QiwsKO42f19VcwMLC4pF3UtE5AiDvZe1nSztEanCjZuNoqpdWBlDRJ4UMMF+586dGDlyJJKTkzFhwgRJnoXrTP6elTFE5EkBEewPHz6MZcuW4bnnnsMnn3yCrKwsTJ8+HeXl5f5umh0xZZNi72Wah4icERDBvqioCI8//jieeOIJDBkyBOvXr0dycjJ2797tsfewBtf8wj0uB1dnFlk5utcTaR5+YBAFD9lX4xgMBpw9exbPPPOM3fWJEyeipKTEY+/T2QpaZytXnKl28ca+O+3xsBGi4CH7YF9bWwuz2YzExES764mJiV0elajRaJx+H82lq7h4tQomswlhoWFo1Olceh1X1Ny4iW0HPkR9QxPiYnpgwcwHEQoLdDodFAoFBEFAYkKs0+25WlEJo8ls+7msXO+z36kz/nzvQMZ+9Q6p9aujknDZB3ur9kcidndMoitbk/6g1cFkscAiACaLBTVanc+2OP19QTEa9WYoVRFo1Jtx4P0SFK5Y4PZWyH3TetutAUhNSvDbtq1y3OQI1hQAABRWSURBVDJWDtiv3iHHfpV9sFer1QgNDe0wiq+pqekw2ndH/7QUNLfo0dysR6RKifS0FI+9tiN19Q0wGU3QXPkeRpMJ31y6ihVPz3Q55WLd3bKyug5XKq4jPS0ZqUlqrpglCmCyn6BVKpW44447cOzYMbvrx44dQ3Z2tsfep3dSAoYN6odhA9MwLKMfeicleOy1HUmIi8G3lyvQYjDCbLbAbLa4VXdvzdUrFAqkp6WgT7Iam1fmcDtjogAm+2APALm5udi3bx/eeOMNfPPNN1i6dCmuX7+OOXPmeOw9rNUx4WGhHtuu2Jn3Dg0LRYhCgQiVEoP69XGr7p41/ETBR/ZpHACYNm0a6urqsH79elRVVWHYsGE4ePAg+vbt67H3cHVvHE+99/3jRnlsjx057ddDRJ7BM2hFcuWkKk/yxNm03ngtT5HjhJccsF+9Q479ymAvkvUQ7+amJkT26CHq8HAST47/eOSA/eodcuzXgEjj+IK/89w8H5aI3BEQE7S+EKFU4ty3l3H+YjnOfXsZEUqlT9+fu2ASkTsY7EX6cX2WAhCAEB/3nL+/WRCRvDGNI1Kz3oARg/ujsbERUVFRaGox+PT9WUFDRO7gyF4kZ7Yn9gZndswkImqPI3uRXD1w3FN4PiwRuYPBXiR/LqoiInIX0zhEREGAwZ6IKAgw2BMRBQEGeyKiIMBgT0QUBBjsiYiCAEsvZYIboRGROziylwluhEZE7mCwlwluhEZE7mCwlwl/781DRPLGYC8T3AiNiNzBCVqZ8OVGaJwMJgo8HNmLVFVzAwsLipFfuAcLC4pRXaP1d5O8hpPBRIGHwV4kawA0mswBHwA5GUwUeBjsRQqmAMjJYKLAw2AvUjAFQE4GEwUehVarFfzdCDmortFi7db9+PbiVfyg1aF/Wgp63wqEcp+8lMKELA+F8Q72q3fIsV85shfJWg2TpI5DeloKFApFwOTuOSFLFPhYeumk+oYmKFURADyXu/f3yDqY5iOIghVH9k6Ki+nh8dy9v0fWwTQfQRSsGOydtGDmgx6fvPT3yJoTskSBj2kcJ6njYzy+kjUhLgbXqusQolD4ZWTty9W5ROQfHNlLAEfWRORtHNlLgKdG1v6e6CUi6eLIPoD4e6KXiKSLwT6A+Huil4iki8E+gLCEkoi6wmAvkhy2OOZELxF1hRO0InW2xbHUyhVZQklEXWGwF8kf+XBW1xCRpzDYi2Rd+AT4Lh++tugALpdfx6WrldAbTThx5mu8u2u1XcDnBwIRiSHZnP2NGzewZMkS3HXXXUhJScHw4cORl5eHuro6u/u0Wi3mzZuHvn37om/fvpg3bx60Ws/n06358PCwUJ/lw+vqG3DpaiVa9AZAEFB/U9ehnJLllkQkhmRH9pWVlaisrERBQQGGDh2Ka9euYfHixZg7dy7efvtt231PPfUUKioq8Ic//AEKhQK//e1vMX/+fLz11lsebY81H+7LfawT4mKgN5qgUCggAFCFh3dIH7HckojEkGywz8zMxJtvvmn7ecCAAVi1ahUee+wx3Lx5E7Gxsfjmm2/w0Ucf4YMPPkB2djYA4OWXX8bkyZNlebhAe8/nzsSJM1+j/qYOqvBwDOyX2iF95O99dYhIHiSbxulMQ0MDVCoVevToAQAoLS1FdHS0LdADwLhx4xAVFYWSkhKPvrc/Si+TesXj3V2r8bP7szB6xCCkpyV3SB+x3JKIxJDNsYRarRYTJ07EpEmTUFhYCADYuHEj3njjDXz++ed2944aNQpPPPEE8vLyOn0tjUbj9PuvKf4jfqi72ZpSEQQkJcRiRc4vnP9FiIi8wFEmw+dpnBdffBEbNmzo9p6jR4/ivvvus/3c2NiImTNnonfv3li1apXdvYpb+eq2BEHo9LqVK+kdM0IQHR2NxsZGREdHw4QQ2aeJpCQQ0m5SxH71Djn2q8+DfU5ODmbMmNHtPWlpabb/1+l0mD59OgDgrbfeQkREhO2xpKQk1NTU2AV3QRBQW1uLxMREj7bbH6WXRESe4vNgr1aroVarRd3b0NCA6dOnQxAEHDp0CNHR0XaPZ2VlQafTobS01Ja3Ly0tRWNjo10e3xOez52JtVv3o6xcz9w4EcmOZKtxGhoaMG3aNDQ0NGDv3r1oampCU1MTAKBnz55QKpUYMmQIJk2ahGeffRabN2+GIAh49tln8dBDD3n8K5YAAYIsZjeIiDqSbLA/e/YsTp8+DQAYO3as3WNtc/o7duzA0qVLMW3aNADA5MmTbRO4niSHvXG8hat0ieRPssH+vvvuE7UStmfPnti+fbvX2xMsi5c6C+zWD7oQhSLoPuiIAoVsSi/9bWFBMa5V1+F93Yf+bgoRBSDd63/36uvLalGVP1kXLxERyRFH9k6SY32tM6zfYKzbL1grj9Zu3Y9arfdy9oHer/7CfvUOOfarZHP25B9dBXbm6InkjcGe7DCwEwUm5uyJiIIAgz0RURBgGofscAEVUWDiyJ7s8JhDosDEYE92gmWlMFGwYbAnOwlxMbDc2vGNWzkTBQ4Ge7LDYw6JAhMnaMkO6+yJAhNH9kREQYDBnogoCDCNQ6Kw/p5I3jiyJ1FYf08kbxzZy4g/R9esvyeSN47sZcSfo2vW3xPJG4O9jPhzdM36eyJ5YxpHRhLiYuxOkfLl6Jr190TyxmAvI52dItUVVs8QUVtM48iIAAGCyBODWT1DRG0x2MuIMwGc1TNE1BaDvYw4E8BZPUNEbTHYy4gzAZzVM0TUFidoZcSZCVpWzxBRWwz2MsIATkSuYhqHiCgIMNgTEQUBpnEkhouhiMgbOLKXGC6GIiJvYLCXGC6GIiJvYLCXGC6GIiJvYLCXGC6GIiJv4AStxLCWnoi8gSN7IqIgwJG9RLEEk4g8iSN7iWIJJhF5kiyCvSAI+MUvfoH4+Hi88847do9ptVrMmzcPffv2Rd++fTFv3jxotVo/tdRzWIJJRJ4ki2D/+9//HqGhoZ0+9tRTT+GLL77AH/7wBxw6dAhffPEF5s+f7+MWeh5LMInIkyQf7D/77DO89tprKCoq6vDYN998g48++givvPIKsrOzkZWVhZdffhl/+ctfoNFo/NBaz2EJJhF5kqQnaBsaGjB37ly8/PLLSExM7PB4aWkpoqOjkZ2dbbs2btw4REVFoaSkBBkZGb5srkexBJOIPEnSwT4vLw8PPPAAHnzwwU4fr66uhlqthuJWbhsAFAoFevXqherq6i5f191Rv9y/NXSm5sZNbDvwIeobmhAX0wMLZj4IdbxvU0eB2K9SwH71Dqn1q6PBrc+D/YsvvogNGzZ0e8/Ro0fx/fff49y5czh27Fi397YN9FaCIHR63cqdEb9Go5H1N4au/L6gGI16M5SqCDTqzTjwfolPv1kEar/6G/vVO+TYrz4P9jk5OZgxY0a396SlpWHfvn24cOEC+vTpY/fYnDlzkJWVhQ8++ABJSUmoqamxC+6CIKC2trbTtA91jdU/RIHN58FerVZDrVY7vO+///u/8cwzz9hdGz9+PFavXo0pU6YAALKysqDT6VBaWmrL25eWlqKxsdEuj0+OJcTF4Fp1HUIUClb/EAUgyebsU1NTkZqa2uF6Wloa0tPTAQBDhgzBpEmT8Oyzz2Lz5s0QBAHPPvssHnroIdl9xfI3Zw4zJyL5kWywF2vHjh1YunQppk2bBgCYPHkyCgsL/dwq+WH1D1Fgk1Ww72xlbM+ePbF9+3Y/tIaISD4kv6iKiIjcx2BPRBQEGOyJiIIAgz0RURBgsCciCgIM9kREQYDBnogoCCi0Wq3g70YQEZF3cWRPRBQEGOyJiIIAgz0RURBgsCciCgIM9kREQYDBvp2dO3di5MiRSE5OxoQJE3DixIlu7//0008xYcIEJCcnY9SoUdi9e7ePWiovzvTrkSNH8Mgjj2DgwIFIS0vDAw88gPfee8+HrZUPZ/++Wp08eRJqtRp33323l1soT872q8FgwJo1azBy5EgkJSVhxIgReO2113zUWnEY7Ns4fPgwli1bhueeew6ffPIJsrKyMH36dJSXl3d6/5UrVzBjxgxkZWXhk08+QV5eHvLz8/HOO+/4uOXS5my/Hj9+HP/yL/+CgwcP4pNPPsFPf/pTzJo1S3QgCxbO9quVVqvFggULMGHCBB+1VF5c6de5c+fib3/7GzZv3ozTp0/jf/7nfzB8+HAfttox1tm38cADD2D48OHYsmWL7dqYMWMwdepUrFy5ssP9K1euxNGjR3HmzBnbtWeeeQYXLlzAhx9+6JM2y4Gz/dqZiRMn4u6778aaNWu81UzZcbVfZ82ahREjRkAQBBw5cgQnT570RXNlw9l+/fjjj/Hkk0/is88+E3Xkqr9wZH+LwWDA2bNnMXHiRLvrEydORElJSafPKS0t7XD/Aw88gM8++wxGo9FrbZUTV/q1MzqdDvHx8Z5unmy52q87d+5EdXU1lixZ4u0mypIr/fruu+9i9OjRKCoqQmZmJsaMGYP8/HzodDpfNFk0WZ1U5U21tbUwm81ITEy0u56YmIjq6upOn1NdXY2f/OQnHe43mUyora1FSkqKt5orG670a3s7duzAtWvX8Nhjj3mjibLkSr9+9dVXeOmll/Dhhx8iNDTUF82UHVf69cqVKzh16hRUKhXeeOMN1NfXIz8/H9evX8cbb7zhi2aLwmDfjkKhsPtZEIQO1xzd39n1YOdsv1q98847eOGFF7Br1y707dvXW82TLbH9qtfrMXfuXKxevRrp6ek+ap18OfP31WKxQKFQYMeOHYiLiwMArF+/HtOmTUN1dTWSkpK83l4xmMa5Ra1WIzQ0tMOnd01NTYdPeaukpKRO7w8LC0NCQoLX2ionrvSr1TvvvIMFCxbgtddew89+9jNvNlN2nO3X69ev48KFC8jNzYVarYZarUZhYSHOnz8PtVqNjz/+2FdNlzRX/r4mJyejd+/etkAPAIMHDwYAVFRUeK+xTmKwv0WpVOKOO+7AsWPH7K4fO3YM2dnZnT4nKysLf//73zvcP3r0aISHh3urqbLiSr8CwNtvv4358+dj69atmDp1qrebKTvO9mtqaipOnDiBf/zjH7b/fv3rX2PAgAH4xz/+gaysLF81XdJc+fs6btw4XL9+3S5Hf/HiRQDAbbfd5r3GOolpnDZyc3Mxf/58jB07FtnZ2di9ezeuX7+OOXPmAADmz58PANi2bRsAYM6cOdixYweWLVuGOXPmoKSkBPv27cPOnTv99jtIkbP9+sc//hHz58/H6tWrMX78eFRVVQFo/YfYs2dP//wSEuRMv4aHhyMzM9Pu+b169YJKpepwPdg5+/f10Ucfxfr165Gbm4tly5ahvr4ey5Ytw9SpUx1+e/UlBvs2pk2bhrq6Oqxfvx5VVVUYNmwYDh48aMsVt/9Klp6ejoMHD2LFihXYvXs3UlJS8NJLL3Ek2o6z/bp7926YTCYsX74cy5cvt12/55578O677/q07VLmbL+SOM72a3R0NP70pz8hPz8fEydORHx8PKZMmSK6rNhXWGdPRBQEmLMnIgoCDPZEREGAwZ6IKAgw2BMRBQEGeyKiIMBgT0QUBBjsiXxMq9Vi3bp1OHv2rL+bQkGEwZ7Ix+rr6/HSSy/hiy++8HdTKIgw2BN5gF6v93cTiLrFYE90y6VLlzBv3jyMHDkSKSkpGDVqFPLy8qDVau3uy8nJQWZmJkpLS/Hggw8iJSUFL7zwAoDWfX1+/vOfY+DAgejTpw/uu+8+7Nu3z/bcsrIyjBo1CgDw29/+FvHx8YiPj8fevXtt9xw5cgSTJk1C79690bdvXzzxxBMOjxokcoTbJRDdcvz4cXz00Ue48847ER8fjytXrmDTpk1ISEiwO2YyJycHR48eRXx8PJ555hlkZmYiMjISd955JzZu3Ii4uDgMGDAAISEhOH78OF5++WUUFhbi17/+NfR6Pf76179i9uzZyMvLw+TJkwEA/fv3R69evbB7927k5eXhP/7jPzB16lTodDr87ne/Q0tLC44fP46YmBh/dQ/JHIM9URdMJhNOnz6NyZMn43//939tI/KcnBzs378fe/fuxZQpU7p8vsVigcViQV5eHv75z3/i+PHjAH4c3W/ZsgW/+tWvbPfrdDpkZmbi5z//OYqKimzXy8rKcOedd6KgoABPP/20l35bCnTc9ZLoFoPBgFdffRUHDhxAeXk5WlpabI999913tmAPAGFhYfjXf/3XDq9x8eJFrF27FidOnEBVVRUsFgsAQKVSOXz/06dP4+bNm5gxYwZMJpPtep8+fZCRkYETJ04w2JPLGOyJbikoKMD27duRn5+PrKwsxMTE4Pvvv8fs2bPtAj/QeiZp+3NcdTodHn74YfTo0QMrV65E//79oVQqsWvXLrz55psO3/+HH34AgC63yOaB6+QOBnuiWw4fPoxf/vKXWLJkie1a29OH2ursPNLTp0+jvLwc77//Pu6++27b9baj9O5Yj7LcunUrhg0b1uHx6OhoUa9D1BkGe6JbmpqaOhwn2bZKRszzAdi9hlarxXvvvWd3nzWl09zcbHfd+m3i0qVLePzxx51qO5EjDPZEt0yaNAn79+9HZmYmBgwYgKNHj6K0tFT087OzsxEbG4vFixdj+fLlaGpqwvr166FWq3Hz5k3bfUlJSUhISMDhw4cxfPhwREVFoV+/fkhISMCqVauwePFi1NbWYtKkSYiNjUVlZSWOHz+Oe++9F9OnT/fGr05BgHX2RLcUFhZi8uTJWL16NebMmQOdToddu3aJfn6vXr2wZ88emM1mPPHEEygoKMCvfvUrzJgxw+6+kJAQbNmyBVqtFg8//DDuv/9+vP/++wBazzXev38/NBoNFixYgOnTp2PdunUwmUy4/fbbPfr7UnBh6SURURDgyJ6IKAgw2BMRBQEGeyKiIMBgT0QUBBjsiYiCAIM9EVEQYLAnIgoCDPZEREGAwZ6IKAj8f/WDtiGAxHz4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "case_sum.scatter('arate', 'Lat')\n",
    "_ = plots.plot([min(case_sum['arate']),max(case_sum['arate'])], [23.5, 23.5])\n",
    "_ = plots.plot([min(case_sum['arate']),max(case_sum['arate'])], [-23.5, -23.5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "case_sum.scatter('delta', 'Lat')\n",
    "_ = plots.plot([min(case_sum['delta']), max(case_sum['delta'])], [23.5, 23.5])\n",
    "_ = plots.plot([min(case_sum['delta']), max(case_sum['delta'])], [-23.5, -23.5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Country</th> <th>confirmed</th> <th>new</th> <th>rate</th> <th>active</th> <th>arate</th> <th>eff arate</th> <th>delta</th> <th>err</th> <th>Lat</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Kyrgyzstan</td> <td>24606    </td> <td>11505</td> <td>1.87818</td> <td>17728 </td> <td>0.648973 </td> <td>-0.0224526</td> <td>0.0472811  </td> <td>0.0288845 </td> <td>41.2044 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Gambia    </td> <td>93       </td> <td>15   </td> <td>1.19231</td> <td>38    </td> <td>0.394737 </td> <td>-0.0657895</td> <td>0.0501361  </td> <td>0.0272445 </td> <td>13.4432 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Lesotho   </td> <td>359      </td> <td>48   </td> <td>1.15434</td> <td>324   </td> <td>0.148148 </td> <td>0.0586196 </td> <td>0.0077142  </td> <td>0.0155352 </td> <td>-29.61  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Namibia   </td> <td>1203     </td> <td>125  </td> <td>1.11596</td> <td>853   </td> <td>0.146542 </td> <td>0.0701537 </td> <td>0.00586825 </td> <td>0.0105792 </td> <td>-22.9576</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Angola    </td> <td>687      </td> <td>49   </td> <td>1.0768 </td> <td>359   </td> <td>0.13649  </td> <td>0.0737619 </td> <td>0.00673189 </td> <td>0.00776932</td> <td>-11.2027</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Bahamas   </td> <td>138      </td> <td>9    </td> <td>1.06977</td> <td>34    </td> <td>0.264706 </td> <td>0.231676  </td> <td>-0.00135387</td> <td>0.0195224 </td> <td>25.0259 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Eswatini  </td> <td>1729     </td> <td>110  </td> <td>1.06794</td> <td>820   </td> <td>0.134146 </td> <td>0.0648858 </td> <td>0.00593393 </td> <td>0.00290054</td> <td>-26.5225</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Suriname  </td> <td>1001     </td> <td>58   </td> <td>1.06151</td> <td>440   </td> <td>0.131818 </td> <td>0.042183  </td> <td>0.0154753  </td> <td>0.00718934</td> <td>3.9193  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Zambia    </td> <td>2980     </td> <td>170  </td> <td>1.0605 </td> <td>1348  </td> <td>0.126113 </td> <td>-0.0857471</td> <td>0.0567439  </td> <td>0.0389394 </td> <td>-13.1339</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Madagascar</td> <td>6849     </td> <td>382  </td> <td>1.05907</td> <td>4337  </td> <td>0.0880793</td> <td>0.117324  </td> <td>-0.00480802</td> <td>0.00477449</td> <td>-18.7669</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (10 rows omitted)</p>"
      ],
      "text/plain": [
       "Country    | confirmed | new   | rate    | active | arate     | eff arate  | delta       | err        | Lat\n",
       "Kyrgyzstan | 24606     | 11505 | 1.87818 | 17728  | 0.648973  | -0.0224526 | 0.0472811   | 0.0288845  | 41.2044\n",
       "Gambia     | 93        | 15    | 1.19231 | 38     | 0.394737  | -0.0657895 | 0.0501361   | 0.0272445  | 13.4432\n",
       "Lesotho    | 359       | 48    | 1.15434 | 324    | 0.148148  | 0.0586196  | 0.0077142   | 0.0155352  | -29.61\n",
       "Namibia    | 1203      | 125   | 1.11596 | 853    | 0.146542  | 0.0701537  | 0.00586825  | 0.0105792  | -22.9576\n",
       "Angola     | 687       | 49    | 1.0768  | 359    | 0.13649   | 0.0737619  | 0.00673189  | 0.00776932 | -11.2027\n",
       "Bahamas    | 138       | 9     | 1.06977 | 34     | 0.264706  | 0.231676   | -0.00135387 | 0.0195224  | 25.0259\n",
       "Eswatini   | 1729      | 110   | 1.06794 | 820    | 0.134146  | 0.0648858  | 0.00593393  | 0.00290054 | -26.5225\n",
       "Suriname   | 1001      | 58    | 1.06151 | 440    | 0.131818  | 0.042183   | 0.0154753   | 0.00718934 | 3.9193\n",
       "Zambia     | 2980      | 170   | 1.0605  | 1348   | 0.126113  | -0.0857471 | 0.0567439   | 0.0389394  | -13.1339\n",
       "Madagascar | 6849      | 382   | 1.05907 | 4337   | 0.0880793 | 0.117324   | -0.00480802 | 0.00477449 | -18.7669\n",
       "... (10 rows omitted)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "case_sum.sort('rate', descending=True).take[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Country</th> <th>confirmed</th> <th>new</th> <th>rate</th> <th>active</th> <th>arate</th> <th>eff arate</th> <th>delta</th> <th>err</th> <th>Lat</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Liechtenstein      </td> <td>86       </td> <td>1    </td> <td>1.01176</td> <td>3     </td> <td>0.333333</td> <td>-0.0972222 </td> <td>0.0575397</td> <td>0.023167  </td> <td>47.14   </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Zambia             </td> <td>2980     </td> <td>170  </td> <td>1.0605 </td> <td>1348  </td> <td>0.126113</td> <td>-0.0857471 </td> <td>0.0567439</td> <td>0.0389394 </td> <td>-13.1339</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Gambia             </td> <td>93       </td> <td>15   </td> <td>1.19231</td> <td>38    </td> <td>0.394737</td> <td>-0.0657895 </td> <td>0.0501361</td> <td>0.0272445 </td> <td>13.4432 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Kyrgyzstan         </td> <td>24606    </td> <td>11505</td> <td>1.87818</td> <td>17728 </td> <td>0.648973</td> <td>-0.0224526 </td> <td>0.0472811</td> <td>0.0288845 </td> <td>41.2044 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Trinidad and Tobago</td> <td>137      </td> <td>1    </td> <td>1.00735</td> <td>7     </td> <td>0.142857</td> <td>-0.0654762 </td> <td>0.0416667</td> <td>0.0240563 </td> <td>10.6918 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Malta              </td> <td>675      </td> <td>1    </td> <td>1.00148</td> <td>3     </td> <td>0.333333</td> <td>-0.0555556 </td> <td>0.0277778</td> <td>0.0160375 </td> <td>35.9375 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Guinea-Bissau      </td> <td>1949     </td> <td>22   </td> <td>1.01142</td> <td>184   </td> <td>0.119565</td> <td>-0.0275588 </td> <td>0.0240552</td> <td>0.0111361 </td> <td>11.8037 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Congo (Brazzaville)</td> <td>2633     </td> <td>0    </td> <td>1      </td> <td>1076  </td> <td>0       </td> <td>-0.00407492</td> <td>0.0200962</td> <td>0.0133435 </td> <td>-0.228  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Uruguay            </td> <td>1044     </td> <td>7    </td> <td>1.00675</td> <td>92    </td> <td>0.076087</td> <td>0.0311884  </td> <td>0.0180434</td> <td>0.00924965</td> <td>-32.5228</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Antigua and Barbuda</td> <td>76       </td> <td>0    </td> <td>1      </td> <td>8     </td> <td>0       </td> <td>-0.0238095 </td> <td>0.0170068</td> <td>0.0153376 </td> <td>17.0608 </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (10 rows omitted)</p>"
      ],
      "text/plain": [
       "Country             | confirmed | new   | rate    | active | arate    | eff arate   | delta     | err        | Lat\n",
       "Liechtenstein       | 86        | 1     | 1.01176 | 3      | 0.333333 | -0.0972222  | 0.0575397 | 0.023167   | 47.14\n",
       "Zambia              | 2980      | 170   | 1.0605  | 1348   | 0.126113 | -0.0857471  | 0.0567439 | 0.0389394  | -13.1339\n",
       "Gambia              | 93        | 15    | 1.19231 | 38     | 0.394737 | -0.0657895  | 0.0501361 | 0.0272445  | 13.4432\n",
       "Kyrgyzstan          | 24606     | 11505 | 1.87818 | 17728  | 0.648973 | -0.0224526  | 0.0472811 | 0.0288845  | 41.2044\n",
       "Trinidad and Tobago | 137       | 1     | 1.00735 | 7      | 0.142857 | -0.0654762  | 0.0416667 | 0.0240563  | 10.6918\n",
       "Malta               | 675       | 1     | 1.00148 | 3      | 0.333333 | -0.0555556  | 0.0277778 | 0.0160375  | 35.9375\n",
       "Guinea-Bissau       | 1949      | 22    | 1.01142 | 184    | 0.119565 | -0.0275588  | 0.0240552 | 0.0111361  | 11.8037\n",
       "Congo (Brazzaville) | 2633      | 0     | 1       | 1076   | 0        | -0.00407492 | 0.0200962 | 0.0133435  | -0.228\n",
       "Uruguay             | 1044      | 7     | 1.00675 | 92     | 0.076087 | 0.0311884   | 0.0180434 | 0.00924965 | -32.5228\n",
       "Antigua and Barbuda | 76        | 0     | 1       | 8      | 0        | -0.0238095  | 0.0170068 | 0.0153376  | 17.0608\n",
       "... (10 rows omitted)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "case_sum.sort('delta', descending=True).take[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Country</th> <th>confirmed</th> <th>new</th> <th>rate</th> <th>active</th> <th>arate</th> <th>eff arate</th> <th>delta</th> <th>err</th> <th>Lat</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Kyrgyzstan</td> <td>24606    </td> <td>11505</td> <td>1.87818</td> <td>17728 </td> <td>0.648973 </td> <td>-0.0224526</td> <td>0.0472811  </td> <td>0.0288845 </td> <td>41.2044 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Gambia    </td> <td>93       </td> <td>15   </td> <td>1.19231</td> <td>38    </td> <td>0.394737 </td> <td>-0.0657895</td> <td>0.0501361  </td> <td>0.0272445 </td> <td>13.4432 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Lesotho   </td> <td>359      </td> <td>48   </td> <td>1.15434</td> <td>324   </td> <td>0.148148 </td> <td>0.0586196 </td> <td>0.0077142  </td> <td>0.0155352 </td> <td>-29.61  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Namibia   </td> <td>1203     </td> <td>125  </td> <td>1.11596</td> <td>853   </td> <td>0.146542 </td> <td>0.0701537 </td> <td>0.00586825 </td> <td>0.0105792 </td> <td>-22.9576</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Angola    </td> <td>687      </td> <td>49   </td> <td>1.0768 </td> <td>359   </td> <td>0.13649  </td> <td>0.0737619 </td> <td>0.00673189 </td> <td>0.00776932</td> <td>-11.2027</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Bahamas   </td> <td>138      </td> <td>9    </td> <td>1.06977</td> <td>34    </td> <td>0.264706 </td> <td>0.231676  </td> <td>-0.00135387</td> <td>0.0195224 </td> <td>25.0259 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Eswatini  </td> <td>1729     </td> <td>110  </td> <td>1.06794</td> <td>820   </td> <td>0.134146 </td> <td>0.0648858 </td> <td>0.00593393 </td> <td>0.00290054</td> <td>-26.5225</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Suriname  </td> <td>1001     </td> <td>58   </td> <td>1.06151</td> <td>440   </td> <td>0.131818 </td> <td>0.042183  </td> <td>0.0154753  </td> <td>0.00718934</td> <td>3.9193  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Zambia    </td> <td>2980     </td> <td>170  </td> <td>1.0605 </td> <td>1348  </td> <td>0.126113 </td> <td>-0.0857471</td> <td>0.0567439  </td> <td>0.0389394 </td> <td>-13.1339</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Madagascar</td> <td>6849     </td> <td>382  </td> <td>1.05907</td> <td>4337  </td> <td>0.0880793</td> <td>0.117324  </td> <td>-0.00480802</td> <td>0.00477449</td> <td>-18.7669</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (164 rows omitted)</p>"
      ],
      "text/plain": [
       "Country    | confirmed | new   | rate    | active | arate     | eff arate  | delta       | err        | Lat\n",
       "Kyrgyzstan | 24606     | 11505 | 1.87818 | 17728  | 0.648973  | -0.0224526 | 0.0472811   | 0.0288845  | 41.2044\n",
       "Gambia     | 93        | 15    | 1.19231 | 38     | 0.394737  | -0.0657895 | 0.0501361   | 0.0272445  | 13.4432\n",
       "Lesotho    | 359       | 48    | 1.15434 | 324    | 0.148148  | 0.0586196  | 0.0077142   | 0.0155352  | -29.61\n",
       "Namibia    | 1203      | 125   | 1.11596 | 853    | 0.146542  | 0.0701537  | 0.00586825  | 0.0105792  | -22.9576\n",
       "Angola     | 687       | 49    | 1.0768  | 359    | 0.13649   | 0.0737619  | 0.00673189  | 0.00776932 | -11.2027\n",
       "Bahamas    | 138       | 9     | 1.06977 | 34     | 0.264706  | 0.231676   | -0.00135387 | 0.0195224  | 25.0259\n",
       "Eswatini   | 1729      | 110   | 1.06794 | 820    | 0.134146  | 0.0648858  | 0.00593393  | 0.00290054 | -26.5225\n",
       "Suriname   | 1001      | 58    | 1.06151 | 440    | 0.131818  | 0.042183   | 0.0154753   | 0.00718934 | 3.9193\n",
       "Zambia     | 2980      | 170   | 1.0605  | 1348   | 0.126113  | -0.0857471 | 0.0567439   | 0.0389394  | -13.1339\n",
       "Madagascar | 6849      | 382   | 1.05907 | 4337   | 0.0880793 | 0.117324   | -0.00480802 | 0.00477449 | -18.7669\n",
       "... (164 rows omitted)"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "case_sum.sort('rate', descending=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='sectionOneState'></a>\n",
    "## Cases in one Country\n",
    "\n",
    "These sections of the notebook allow diving into the picture for a particular state.  We start with the basic trends and then look at projects up to a couple weeks out.  Things are changing so rapidly, it is pretty meaningless to talk about numbers farther out than that.  Whereas just looking at the short term puts in stark relief how rapidly we need to move in preparing to care for infected people."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e3688d7e16e042faa7795354f0115f38",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Country', index=174, options=('Afghanistan', 'Albania', 'Algeria', 'Andorra', 'Angola', …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "w = widgets.Dropdown(options=list(countries['Country/Region']), \n",
    "                     description='Country', value='US')\n",
    "display(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script> </script> <form action=\"javascript:IPython.notebook.execute_cells_below()\"><input type=\"submit\" id=\"toggleButton\" value=\"Run All Below\"></form>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.core.display import HTML\n",
    "HTML('''<script> </script> <form action=\"javascript:IPython.notebook.execute_cells_below()\"><input type=\"submit\" id=\"toggleButton\" value=\"Run All Below\"></form>''')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'India'"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country = w.value\n",
    "country_case_trend = cases.extract(country).trend()\n",
    "country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "country_case_trend.extract([country, 'active', 'new']).oplot(width=8, xlab=25)\n",
    "label_val(country_case_trend, last_day, country)\n",
    "label_val(country_case_trend, last_day, 'active')\n",
    "label_val(country_case_trend, last_day, 'new')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_rate_trend(country_case_trend, 'arate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "country_recent = country_case_trend.after(\"03/15/20\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "country_recent.extract([country, 'active', 'new']).oplot(width=8, xlab=25)\n",
    "label_val(country_recent, last_day, country)\n",
    "label_val(country_recent, last_day, 'active')\n",
    "label_val(country_recent, last_day, 'new')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pJm666aZ+7/fJJ5/s9z4/SSH2JMr3unj8klSKiuooKMgb6OGIiIiInDFUEysiIiIig45CrIiIiJx1+mMXKzn5jvR9UogVERGRs0p8fDyNjY0Ksqc527ZpbGzsdYku1cSKiIjIWcXpdOL1emlqahroochReL1enM6e46pCrIiIiJx1nE4nSUlJAz0MOQEKsXLCSv0hFm/zU9kaISvO1FJiIiIictIpxMoJKfWHuPqVum6bOmypCfL8rDQFWRERETlp9GCXnJDF2/zdAixAiT/C4m3+ARqRiIiInA0UYuWEVLZGemyv6qVdREREpD8oxMoJyYoze2zP7KVdREREpD8oxMoJWTTJy3Bv98A63Bt9uEtERETkZNGDXXJC8r0unp+VxuJtfqpaI2RqdQIRERE5BRRi5YTle108fknqQA9DREREziIqJxARERGRQUchVkREREQGHYVYERERERl0FGJFREREZNBRiBURERGRQUchVkREREQGHYVYERERERl0FGJFREREZNBRiBURERGRQafPIXbVqlVMmDABn8/HJZdcwqZNm3o994UXXuBLX/oSI0eOJCcnh0svvZSXXnqp2zlPPvkkycnJh73a29uP/25ERERE5KzQpxD73HPPsWDBAu699142bNjA1KlTmTt3LuXl5T2e//rrrzNjxgyefvppNmzYwGWXXcZXv/rVw4JvXFwcO3fu7PaKiYk58bsSERERkTOasy8nPfLII9x4443cfPPNACxbtoxXX32V1atX88ADDxx2/kMPPdTteMGCBfzlL39h7dq1TJs2ravdMAx8Pt+JjF9EREREzkJHnYkNBoO88847zJw5s1v7zJkzeeutt/p8oebmZpKTk7u1tbW1MX78eMaOHcv111/Pu+++2+f+REREROTsZTQ2NtpHOqGyspIxY8awdu1apk+f3tX+0EMP8cwzz7Bly5ajXuTxxx/nBz/4AZs2bSIvLw+AzZs3s2vXLsaPH09zczOPPfYYf/3rX3nttdcYOXJkr30VFRX19d5ERETkNFNQUDDQQ5AzRJ/KCSD6T/+Hsm37sLaerFmzhu9973v88pe/7AqwAFOnTmXq1Kldx4WFhVx88cWsXLmSH//4x7321/nDX1RU1O9/EU5Gn4OtX411cPWrsWqsJ6tfjXVw9TuYxirSX45aTpCWloZpmlRXV3drr62tJT09/YifXbNmDbfffjuPPfYYs2fPPuK5pmkyceJEdu/e3Ydhi4iIiMjZ7Kgh1u12M3HiRNatW9etfd26dRQWFvb6uT/+8Y/Mnz+fRx99lDlz5hx1ILZts2PHDj3oJSIiIiJH1adygrvuuov58+czefJkCgsLWb16NVVVVdx6660AzJ8/H4CVK1cC8Ic//IH58+fzwx/+kGnTprF//34gGohTUlIAWLp0KVOmTGHkyJE0NTWxcuVKduzYwfLly/v9JkVERETkzNKnEHvNNddQX1/PsmXL2L9/P2PGjOHpp5/uqnHdu3dvt/NXr15NOBxm4cKFLFy4sKt9+vTprF27FoADBw5w9913U11dTWJiIhMmTOCll15i8uTJ/XVvIiIiInKG6vODXfPmzWPevHk9vtcZTHs77smSJUtYsmRJXy8vIiIiItKlz9vOioiIiIicLhRiRURERGTQUYgVERERkUFHIVZEREREBp0+P9glR1fqD7F4m5/K1ghZcSaLJnnJ97oGelgiIiIiZxyF2H5S6g9x9St1lPgjXW1baoI8PyttAEclIiIicmZSOUE/WbzN3y3AApT4Iyze5h+gEYmIiIicuRRi+0lla6TH9qpe2kVERETk+Kmc4AR11sHubAz3+H5mnHmKR3R8Ou9jd62HERX1qucVERGR05pC7AnoqQ72UMO90Ye7glV1p3hkx6b7fZhsbWrrqudVkBUREZHTkcoJTkBPdbAA6TEGc0fEDpoQqHpeERERGWw0E3sCequDPTfZxeOXpJ7i0Rw/1fOKiIjIYKMQewKyeql37Usd7Om0puyJ3IeIiIjIQFCIPQGLJnnZUhPs9k/xnXWwR3KkNWUHIsge732IiIiIDBTVxJ6AfK+L52elMXdELBdnuvtcB3u61aAeeh+TkyKDqp5XREREzk6aiT1B+d5jr389HWtQO++jqKiOgoK8ARuHiIiISF9oJnYAqAZVRERE5MQoxA6ARZO8DPd2D6yqQRURERHpO5UTDIDOGtTF2/xUtUbIHODVCUREREQGG4XYAXI8tbQiIiIiEqVyAhEREREZdBRiRURERGTQUYgVERERkUFHIVZEREREBh2FWBEREREZdBRiRURERGTQUYgVERERkUFHIVZEREREBh2FWBEREREZdBRiRURERGTQUYgVERERkUGnzyF21apVTJgwAZ/PxyWXXMKmTZt6PfeFF17gS1/6EiNHjiQnJ4dLL72Ul1566bDz1qxZQ2FhIRkZGRQWFvLiiy8e312cYUr9Ib6xvp4r/1zDN9bXU+oPDfSQRERERE4rfQqxzz33HAsWLODee+9lw4YNTJ06lblz51JeXt7j+a+//jozZszg6aefZsOGDVx22WV89atf7RZ8N2/ezG233cbcuXPZuHEjc+fO5ZZbbmHLli39c2eDVKk/xNWv1PHM7jZeqwryzO42rn6lTkFWRERE5BB9CrGPPPIIN954IzfffDOjR49m2bJl+Hw+Vq9e3eP5Dz30EPfccw+TJ09mxIgRLFiwgIkTJ7J27dquc1asWMHFF1/Mfffdx+jRo7nvvvu46KKLWLFiRf/c2SC1eJufEn+kW1uJP8Libf5j7kszuiIiInKmOmqIDQaDvPPOO8ycObNb+8yZM3nrrbf6fKHm5maSk5O7jt9+++3D+rz00kuPqc8zUWVrpMf2ql7ae6MZXRERETmTOY92Ql1dHZFIhPT09G7t6enpVFdX9+kijz/+OBUVFVx//fVdbfv37z+uPouKinr8c385GX0eS78JERfgOqw9PtJCUVEjAPvaDB4rc1IT8JC+cw+354UZGmt3O/+7O12U+Lv3U+KP8O31+/jh6CMH2YH+Ggx0n4OtX41VYz1Z/Wqsg6vfwTLWgoKCfu1Pzl5HDbGdDMPodmzb9mFtPVmzZg3f+973+OUvf0leXt4J99n5w19UVNTvfxFORp/H2u9DmSF2vlLXraRguNfkoUsyyPe6KPWHuKfb+yY722N4flYa+d6DobV5Vw0QPKz/FjOegoL0w9qPZ6zH4kz9fg10vxqrxnqy+tVYB1e/g2msIv3lqOUEaWlpmKZ52AxpbW3tYTOpn7RmzRpuv/12HnvsMWbPnt3tPZ/Pd1x9nunyvS6en5XG3BGxXJzpZu6I2G4Bta81s1lxZo/9Z/bSLiIiIjKYHDXEut1uJk6cyLp167q1r1u3jsLCwl4/98c//pH58+fz6KOPMmfOnMPenzJlyjH3ebbI97p4/JJUXrw8nccvSe02w9rXmtlFk7wM93YPrMO9Josmeft/wCIiIiKnWJ/KCe666y7mz5/P5MmTKSwsZPXq1VRVVXHrrbcCMH/+fABWrlwJwB/+8Afmz5/PD3/4Q6ZNm8b+/fuBaCBOSUkB4Pbbb2f27NksX76cK6+8kj/96U9s3LiRl19+ud9v8kzS1xnWzhndxdv8VLVGyIyLBthDA7GIiIjIYNWnEHvNNddQX1/PsmXL2L9/P2PGjOHpp5/uqnHdu3dvt/NXr15NOBxm4cKFLFy4sKt9+vTpXctsdYbhxYsXs2TJEoYPH87q1au54IIL+uvezkiLJnnZUhM8rGa2pxnWzhldERERkTNNnx/smjdvHvPmzevxvUPXf+3puDdz5szpsdRAenfoDOvuumZGpCVohlVERETOOn0OsXL66JxhLSqqo6Ag7+gfEBERETnD9GnHLhERERGR04lCrIiIiIgMOgqxIiIiIjLoKMSKiIiIyKCjB7tOoVJ/iMXb/FS2RsjSuq0iIiIix00h9hQp9Ye4+pW6buu7bqkJdttS9nSl8C0iIiKnG4XYU2TxNn+3AAtQ4o+weJv/tN6QYDCHbxERETlzqSb2FKlsjfTYXtVL++niSOFbREREZKAoxJ4iWXFmj+2ZvbSfLgZr+BYREZEzm0LsKbJokpfh3u6Bdbg3Wl96Ohus4VtERETObAqxp0i+18Xzs9KYOyKWizPdzB0ROyjqSgdr+BYREZEzmx7sOoXyva7T+iGunnSG78Xb/FS1RsjU6gQiIiJyGlCIlaMajOFbREREzmwqJxARERGRQUchVkREREQGHYVYERERERl0VBPbB9p2VUREROT0ohB7FNp2VUREROT0o3KCo9C2qyIiIiKnH4XYo9C2qyIiIiKnH4XYo9C2qyIiIiKnH4XYQzSbJu2faNO2qyIiIiKnH4XYQ/zW5yMvMZFH3e6uts5tV+eOiOXiTDdzR8TqoS4RERGRAabVCQ5R43YTAlIsiyDgBv7qdPJAVgI3XRbPXcHgAI9QREREREAzsd3cX1bGi34/IyyLDw2DjwyDV0yTD0yTSsPoOq/GMJgXG8uvXZqNFRERERkImon9BC9gA7Zh0A7MDYWYYFmkWhbvGwZe4DXT5Fm3m2qHg/8TCnV99mG3m/MiES6KRNBjXyIiIiInj0LsUXiACZHoclphw6ABSLdt7mlrI9W2KTYM4mybJsNgUWwsibZNSVNT1+ffMk1CLhcFAzN8ERERkTOSQuxxyLBt5oTDAPgNA79hUA1cGwjgBKqA2I7XzXFxVJ1/Plv9fkZaFgC1hkGybQ/aL7624RUREZGBNlhz1GknA/hWx4NfNY5oqXGrbZNvWRjhMF7LooVosP1WbCzrnU5+3drKpR1h2AaMHns+vWgbXhERETkd6MGuQ7z5zk5++fBvWf/XTewtq8TqmDk9XnGGwUNtbSzdtYsKh4Miw+B9w2CfYdBqGKRbFp0Vtcs9HgoTEnjmNH9YTNvwioiIyOmgzyF21apVTJgwAZ/PxyWXXMKmTZt6Pbeqqop58+YxZcoUUlNTueOOOw4758knnyQ5OfmwV3v7J7cbOHU+KNpL0UclvPz833nkoV+y+Ns/4zf//Qyb/vE21ZU12LZ9XP12zbAaBpZh8Iu2Np5rbiYCfNCxCsJG02SnaRIiOisLsNE0uTYujidPo2CrbXhFRETkdNCncoLnnnuOBQsW8NOf/pRPf/rTrFq1irlz5/Lmm2+Sm5t72PmBQIDU1FT+7d/+jV/96le99hsXF8c///nPbm0xMTHHeAv957rLL2Rs2KRo5x6Kd5bQUH+AHe/uZMe7OwFI8MYzctQwRo4exohR+aQOScEwjq8IILUjEHeugvCd9nbmBoPkRCK8bxgkAC87nbzqcjHKsqBjFYR6w+D7MTFMD4eZ1B83fYy0Da+IiIicDvoUYh955BFuvPFGbr75ZgCWLVvGq6++yurVq3nggQcOOz8/P58f//jHALzwwgu99msYBj6f73jGfVKk2RGmZabyqfGXEomNpb62kd0f72FXR6ht9rfw7tYdvLt1BwDJKUmMGJ3PiIJ8Ro4aRnJq0nFf2wWMsywwDCLAAWBmOEx6ays5lsVOwyDetnnTNHnC7abI4egWYv/L7eZcy+Kz4fBJLXReNMnLlppgt5ICbcMrIiIip9pR804wGOSdd97hW9/6Vrf2mTNn8tZbb53Qxdva2hg/fjyWZXHeeedx//33c/75559QnyciqayM1H/8g4qLLqJ66lRShySTZeZzdWstLVMuY2eaj+KPSyneWULJrjIaGw6w7c332PbmewCkDklhREE+I0ZFX0nJiSc0njTb5jMdy3u1GQZtHUH2rvZ2Ui2LythYvECLYfDd2FjibZuyQ5b3etXpJM2yGG9Z/RZsO7fhXbzNT1VrhEytTiAiIiIDwGhsbDxioWdlZSVjxoxh7dq1TJ8+vav9oYce4plnnmHLli1HvMD1119PamoqK1as6Na+efNmdu3axfjx42lubuaxxx7jr3/9K6+99hojR47stb+ioqK+3NdxSd6zB1dFBcWjRlE9dCgAvooKJr35JlXZ2bx90UXRuljbZtYLL+B3uXkkOZvSPZXsK60klwgh26YiaBGyISUtiZxhWeQOyyZneDYJ3viTMu5Gp5OXU1PB4eCblZXEWDJTjKoAACAASURBVBYxlsU1555LlcfD799/n5EdtcalHg8e28YXDA6K1RBEROTMUlCgldOlf/R5gu6TtZ+2bR93PSjA1KlTmTp1atdxYWEhF198MStXruwqRehJ5w9/UVFRv/9F2GWatEyZgglkdbS5gb1TpxJKSCDX6wWHA1dLC55gEIfTyZxrvwAOBxYw7Ilfk1pfxy9cqfx9TzXtrQESS8rIKi9ly6sGNUnJDD8nj+EF+QwvyCc55cRmasvKy8nLzSUPmNDZmJcHQIttM8EwSIpEGJebi5fo8l4PxsXxosvFf7e28uWOOttGok/4JXJyvq6cpH4H01hPVr8aq8Z6svrVWAdXv4NprCL95aghNi0tDdM0qa6u7tZeW1tLenp6vw3ENE0mTpzI7t27+63PY7U1IYH3vF6mt7WR3bF+azAxkdqxY6MnRCIQiRByudj+la/gbG+Hjn++dzgckJJMIBzi0qtmMz0+gYqKaoa+/jqT6vcTaYzwVHU9tdX1NG59jy/43OywnazPOYfhBXkMPyeP7EiQUEIC4dhYOIFfEABchsH9gQAAdQ4HdYBh20Rsm0TbJicSwQ/EAf/rdvODmBgWBAJc0/H5MNFVElQkICIiIqejo4ZYt9vNxIkTWbduHVdffXVX+7p167jqqqv6bSC2bbNjxw7Gjx/fb30eqz+lpvJiairhhgZu6AinrR0PWnkPXV7LMIjExBA5dCUFy6Ls4ou7Ds1AO7lpiSRMmciu4mIKR41miOWgeFc5ybuLybL8FDcH2bLpn2x54x0cwAsj4jAM+N+pnyF/9DBSh6SQ+sEHOAMBGgsKCHlP7OEp2zD4v4EA/9ERbosNAwPY5XBgAmmWRdjlwgZeN02uj4/n+lCI/2xrO9gHg2NTBhERETmz9amc4K677mL+/PlMnjyZwsJCVq9eTVVVFbfeeisA8+fPB2DlypVdn3nvvejDTk1NTRiGwXvvvYfb7ebcc88FYOnSpUyZMoWRI0fS1NTEypUr2bFjB8uXL+/XGzwWMxsqiHVaXO9vIdOGZsPgT/HxLE9N5StNTfxLY+Mx99mclUWVw0FmRjo5QE5mGsaF5/H+gSZC1fXMrm6kpGQfdWUVlAQiOA145sk/AZCY5GVZpouhVpC9Tg/u88ZiGAap771H2vbt2Lm50LHEmREO42puJuj1gnnk5a4OXbfWBuYFg3wtGMQGilwuwobBJtOk3TDAtgkAHqJlB5/yevl0JMJvW1sVZkVERGTA9CnEXnPNNdTX17Ns2TL279/PmDFjePrpp8nrqL/cu3fvYZ+ZMWNGt+OXX36Z3Nxctm/fDsCBAwe4++67qa6uJjExkQkTJvDSSy8xefLkE72n43Z1w6vcdeAdwIHlSMF2pGHGfB4HKYwOVBNnhWl1xLHH5eJ/kpL4TGsrn21tPebr2KZJODWFlNQULj4XLp4xGcuy+LiqlpLd+xgfX0HJ7n001TfyvOVmuMfBk489SygmhvzhOdzstcmrr8adnkHItsEwiK2uZtTvf0+Lz0fRTTd1XSt961bCsbE0jhqF7ez92+0+5M8Rw+DycJjpfj+hjs0YnMAO06TB4aDKsghzsNTgyvh4km2bn7e1MeQ4N4QQERERORZ9frBr3rx5zJs3r8f31q5de1hb41FmLZcsWcKSJUv6evlTwsaFbSRh2E04rDqw6vjh3o/5j4oYDMBrtRN2xLHRdxXr479ASriKqxp3ETTTaHGksjkugYnt7cQdR5BzOBxkZ2eQnZ3B9Is+hW3bVFfXs6dkH6+X7MNuq6C1qZkPt3/MEtMgx+2g6uONpLxTyrARORSmxJIfHx+diQ0EwOHAsG2y168Hw6Bh9Oiua2WvX09MXR2V06bRlpkZvX4ggPGJcScC2Da2YRACCiyLp5qb8RsGHxgGHqK1s685nXhsm4RDPv+9mBgqDIN7AoHo+rciIiIi/ehkros/6DQ4Pk1qwmVghzCsBhxWHQ6rjjirHodVh23U4bRauaH2LySH9jOmvYIxLUWEDXg9voD7hy2koL2GF0ueJ2CmEXCk0WYOgeMItdGNINLw+dIo/PQEbNumvr6JPXv2sadkHyUl+6horKZuVzm7dpXzN8A0HQytsRjW9DLDhg1l+NAhVI8fjxkOQ2srOBxgmiSUlRFXU0PVIatDpG3fztANG4gdPZrmjhIFs62N5J07CaSm0pyXhwH4bBtfR7BtByzgVy0tVBgGOw2DWCDWtlnjdFJqmnyzo/4W4CmXi384ndwYDHJxRNvUioiIyPFTiO2J4cI2M4iYGXSLWraNYTeTYdVxq78ew0rCcAzHY9fhtA0+3byLSa0lZLW/QQRoNtxMHvcQkxOLWFGxmrAjlaCZRsAcQsBMI+hIxTb69i0wDIO0tCTS0pKYPDm6WsKuXSW0toYo3VPBnpIKKitrKSuroqysig0btgHgy0glf1g2w956j2HDh5Kc7KVs2jQ8TU20O53Q2AiGgaO1lYjTScjjgWAQHA5iamvJ/fvfacnMpOjGG7vGMmzNGiy3m70zZ4LHQ75lMTwYxHI6aXU4aDUMFrW385HDQcS2KTIM6mJj+ZPTyYtuN4XhcFeIfcfh4JceD5eFQlzVsSKEnJhSf4jF2/xUtkbI0mYUIiJyhlKIPRaGgW14sR1eLIZ1e2uKHeKV8ioMqw3TeTEuu5434pKocSVR5UklMVyOTTkAP868iuGBf3JF4zacRnx01tYcQtBxMOCGjYSjLrOV4I3jnHN8TJgwCoC2tgBlZZXRULungvKyKvZX17O/up7Nm98HINEbHw21w7LJd8aSmTkE03Swf/x49o8bx/6qKnzNzQBEgkHqRo2Klig0N0dLFCyL5OJibMOg7POf7xpL3ssvk1hSwp4rr6Rp5EgKLIvxtbXE1tTQmpFBtWFwVSjEiEiEzEiEXYZBrG3zV6eTX7vdOKArxDYD34mN5YJwmP/TsZat9E2pP8TVr9R12xZ4S02Q52elKciKiMgZRSH2EI5gMDoL6XYf/eRP6pi9tc0MOitAp1vwXnExO+r24fTeSJBGaoxmlmXOwWVHuPzAP3FbDbitBvaabQxtf5dsK7qcVcTwRGdtDwm2AccQgmYqttFzGImN9TB69DBGjx4GQDgcZt++GvaU7KO0tILS0kqa/C1s317E9u3Rnc/cbhe5uZnk52cxbFg27hhHV3/tKSmUT5sWPQgGAbAti12zZuFsa4MDB7pKFMy2NhyRCGGXC0IhcDhIKi4me+NGqidNYldHsB3T1ETuq6/SmpHB/gsvZJRl8c32dkaFQhQbBjG2zfumya/cbv5pmt1C7I88HrJsm+uDQU7O3meD3+Jt/m4BFqDEH2HxNj+PX5I6QKMSERHpfwqxh0jevRt27YIJE2DcuGhjMAgtLZCYeNSlq3qSF4mAP4SdnIeLPOIcDh6sraXaNDES7qHebiRk13Nz3oWUur2s3fUYn2rZgWm3ERuuIJaKbv3ZGIQcSQTNNOJsNzHtwztmctMIG4ndZm+dTif5+Vnk50f3H7Ntm5rqBvaUVlC6p4LS0grq6g5QXFxOcXF0ljgYCJI/LJv8/GzyOj6bkpJ4cHc2h4PmrKyDA7IssCyKL7sMIxzGdjjA7wcg4HTSmJ9Pa3Iy7lCIitpm3np9Nz8oLqaqqomK8ReQ73WRb1mMW7kSbJudX/saRnw8d7W3k9LYSEVtLaSnY8XE8FOPBwdwY0egBnjC5aLdMPhiKESWVkagsrXnWuOqXtpFREQGK4XYQxiRSDSopqWBxwPhMFRXw8aNkJUFn/lM9ETbhooKSE6GuLhj2l0r2bL4VkPDoS20GSkMsdzUWjY+12xKkmcTtltZnppCucvJvfs3MbXlQzxWHe5II24r+nLaQWJaP+zqyTLcHTO3h5cn2IYLwzDI8KWS4Utl6tTophJ+fwuleyqjM7V7KthdspfKyloqK2t5883oWr9eb1xXqM3Ly2Lo0HScPSzX9cklvA7k53MgPx+A/aXVPPRWI4HmOEpjP027bfLe2v38ZEY8Q+MdmB0bKoQdDjJCIeZaFsP/9jeSiospufJKtmYP55zyejyRVjZt3EDOxHNoTYrjUY+Hj0yTSeFwV4hd53TyocPB58JhRp1lKyNkxfX8i1ZmL+0iIiKDlULsIWrGjiX5i1+MhtTOWde6OkhKgoyMaGANh6NbzW7YEC07uOaagx3s3RttS0s7plnbWNvmL+XlBAwDT0cQCzjcvBmfToXTSbtnCmWOiQC8GeOm3Bnhc/49DNm/nUxPGE+kFnekDqfdSmykkthI5WHXCDmSulZMiAbbaMj1JiQy/rxzGH/eOR23sI9QCEpLo7W1ZWWV+P2tvP/+Lt5/fxcQXQUhJ8dHXl401OblZ5KYmHDEe3y6zE1Fqw0OD8+7o6sf0GKzensbi6bE8N5XvxrdxveQdXfbEhIwfT72Rlx8b201Fc0W97R/yMzALla/5cT+zHlcHgwy0rIY8+ijtGdk0HrNNfzO5eJptxtXZSWjWlshJYWPXS7+5HIxPRym8AxeGWHRJC9baoLdSgqGe6MPd4mIiJxJFGI/yeHofjx6dPTVsakAEP1zTk40sCYmRoNtOAxvvw3t7XDlldC5RWxlJXHV1dFgGxd3xEt7DvnncI9lsXHPHl6Pi+PK5mYCDgetpsmPEhL5a3w8McQypdpNJN5HXccmBAWBA8RYdXgina9a3FYdnkg9LusALusACezudk3LcBFwpHWsmpBGxGkSn1nAiGETsD9zAbZtU1vb2DVTW1ZWRXV1fTTklh4MyynJ3q6Z2ry8LDKzhuB0HgzyDcGeZ6vr2u2ur3v4E1+fqk99CoD/fLudiuZoKHvFlU2T4WK7nYzrozA/ymogobKS+PZ2mkMhyiyLcaEQXwSmvvwylJVRP28ef42N5cGYGG6srqbw7bdh9Gh2xiRzS4sJ+9sY3xg4I57iz/e6eH5WGou3+alqjZCp1QlEROQMpRDbV4eWDKSmwnXXdX8/EoERI6ChAbKzo7Wi4TAUFTFk3z4YMgQ6/mmdujqoqgKfL9reizTL4qqOlQJiLYtYy+LmxkYyw2Gu8/uJRCJ4bZun4+N5NCWFq/1e/q0+jjZnbtfDZQ4AO4LbasQTqcNt1XYLuU67hdhIFbGRKgAS7SAxTesACDkSCTjSyI4bwrnj0wicP5yAYwoH2j2U791PWWklZWWVlJdX0dDop6HRz7vvfgyAy+kke2h6V6hNCMcCyYffY8zRSzFq2w+G+w/MJD4wkwAYFwhDKETzkCFsv+EGHKEQNDVxCXAJMMyyaEtNpcw0SWxv51rgkh07YMsWdicNYU6di6o5+SSmOnl6xW9Yu2sEl3/5MzyRmclY02TO3r3EJSZC/OB6jCzf69JDXCIicsZTiO0vpgmHLDnVpaCA5kiEhGHDorOz4TB8+CG89x6ce+7BENvWBu+/H52xHTGi18tc2dLClS0tAJS1tpIXDJITDjM0FOKitjaSbRu/YfCex8Oi9HS+0NLCnQ0NBM3obCuM6tafw2rDYx0MtcFgKWlmAE+kDpfVhMtqIiFc0u0zluFiQmYqgaFDCFyURrtjBPsanHxcHmD3njrKyqqorW3oNlvb0hog1kqiLdEHKRmQ4mOIbwitYQf/trGNITEGt411kR1/eBnGkF6CbrL7YLiNeDxEPJ5u75d87nPRPwQCnBcIcF5TE4kuF5UTJ7Ks3EVVexDermWiv4Jcu422YJjv/LOJP185HAu46rnnICYGvv51nnS5aDYMvrhlC9mhUPTBv5iYXr9PIiIicnIpxJ5sEydSGR9PQUbGwbaRI6Mzu7m50Xpby4La2ujKCE1N3UPspk3RMoTx46GHh6kA7mxo4I6GBmyiM6+2YfDX+HiaTBMHYAIRoNUw+NGQIUxub+eajhUELEcsbY4c2pw5AFT595OZ5APbij5AFqnrCLm1XeUJLquZmMh+YiL7u8aQ54ELz4HQKC9BRxr+SB57602KK0J8uKeNre9Xc26kjfL63QRrdmMa4LcMNiUMgeQMSM1g+x4fyy/PYGhC9/u8bayLD+qtaE1th+w4gy/nBTlWTbm5NOXm8uHGNjgQgterecN28KmEy2k3TNJbwly3bx92TAxmcjJt8fG0t7XxWFwc210uJpSWkl1cDOeey9+dTraYJrPefpvzt2+HCy88+L3rrO9NTOz1+yYiIiLHT/93HQi5udHXoXJyYMYMiI2NliuEw9GlvUpLoyHo/PMPnrt1K7S34zykFMHoeAEYts099fVc09SEQXSZrzaHg5fj43k9Lo560+wKsQB/SkhgeDDIuYcsXYXhIGimEjRTaaag21AdVnvX7G005NZ2lCrU47L8uCw/8UBmClyQAoyD1s+FCZBK5QE3pdU2L25v552SdvY2hmltqIGSHewH/n1jDF+YmE1Ojo/cvEzy8jLJjo/lJxd5WP1BiLp2m7SOWVtHs5/jdejsbshwUGJGH0wb57T5UkUFmT4fH11xRfSEQIDLmprIdbvx+Xz4PR6CwSB/sG2ejIkh3u3m/JoaCIXYadv8T2wsMyormf3UUzBqFMyeHf2SRiLwxhvRVS3GjDnusYuIiIhC7OkjKQkmTTp47HJFw+sVV0Rn9TIyosE2Eoku79XcjHHo7O5HH0F5ebREITcXAxgWCnXV8sZFIsxoaeGRqipiLYuCUIg206TCNPlJWhou2+ZPZWVd3ZU7nWREIt0eNutkOWJocwylzTm0+xu2jcs6cDDUdpQoeKxaHNSR4mkiJQPGZkButkVTIAJBPwdaDfbWO9hXHaH+gIl5oJb39nn4xzoPlh3dbjcnx8dncjLJzfWRPTQDl8ukqvn4v9y9ze7eNtYV3TLsE65qbuYqoGnUKJo62ia0tBCORMj3+aiaPRuH18u6UIjHkpOpS0pidkICxMcTbG3lm8nJ5KWl8Z2XX8ZITOweYl98MbpBxOc+F525hegvMA5HtGThGJZwExEROVsoxJ7OXC4oOGQWtHMnsS9+EWpraXG5ojW04TA0NkZLEmw7Gn4sCyoroysm5OfDxIkMiUS4qakpGoRNk3jLImjb3NLYSKvDwTmWxW7ABSzMyKDK6WRVZWU0DAMWHQ+K9cYwCJnJhMxkml3ndHurpr2c3EQzWntr1fJxaD+tgTpy3HUkpYRJSoFxI1ykuSNkuZppa6+jpSXIvjqD/X4X1c0x7H/Pw/ubPNS2xpGU5iMpOY6xYwvIzc0kPT0FxydXljiC7Hizx9nd7Pi+h+PC9nYK29vBMKjq+IUiIxRiXkMD5zid7L72Wjy2TUkkwtOxseRnZbFo3LjoLycNDdyXloYHuKe2liEHDkTDaucqGG++Cdu3w2c/e3AWvqEhOjOfkRF9eFBEROQsphA7GPl84PNhFxVFA5HTCZddFg2xnUt5hcOwe3e0LrNz3dtIJDqr+/zz0ZKFz3+e7HCYn1dXQyAAbjctfj9DUlJItiwabZvzg0EChkEAWJqWRrHbzd319UwIBI5pyBHDTbvTR7szGr4S8iJ8/7UAFa0WQ5x+hrrrOd9bzzfHHMDhbCA1UofPOsDwYRAIBGlrD9De1kBbW4BAIEhL0EnVASf1RRt55x0PDe0JmN6heIcMIzs3i5wcX/edxnqQHW+yaEr/bgIwIhRiREfobzIMMAzCts19dXU0NzWxc8oU4mwb07b5dXw8AYeD/ztjRrQWuqWFZTEx7PR4uDM+nkkuV/QXmba26Pdv7174xz+is+0dIdaIROD3v4eUFJg16+BAWlujs7jHEOxFREQGE4XYM0VcHOTlHTx2uaCwMBp4HI6DD5CVlx+crXW7o2HXsuCVVyAYxDz/fOJsm9dKS2ltbSXO6QS3m6BhsNPjodTlIs2yMAAb+Et8PFtjYri8uZmJxxBsu8+EJpMWk8IXxp5La7zJno5zDDuIJ1KPx4pu5hAbqSU5UoczVEOwvZkcfzORcDttbQcIhSqAj7Fsg7oqNzW7YigOerFjM3En5+FNH0lGTj7eo2zKcDIkWxZXNjdTVVNDm89Hm2EQNgy+V1tLpdNJ+ZAh1KWm4rFt/pyQwLaYGL46bhwMGwbAs7bN6vh4vpqRwY0FBdFfVBobwTSJ8/ujy7W1tUW/j52h9bnnoku53XgjpKdH2yoqomE5Kyv68yAiIjKIKcSeyRyO6Azdocf5+XDXXdHQ01l/2d4eDUCWRSQpKRqAIxHitm2Lht7p03Hn5fHmnj1sBabV12MlJdHidrM1NpZX4uM5PxDoCrF7XC7eiI3lgrY2CjpmJXtytJlQ23DT7sykncxPvGHjtP00V39MdrJNilUHrVVYzXshUEdiezuZic1EIgeAvcAWaIC2apOakJeQMx0zYSielGF4fSMxE7LBOLXbsjqB6Z1b7XJw1vaO+no+9nhwWRY7Y2KItW3Wx8WxKS6Oz6amwpQpYNtst22+mpHBNMtiRUxMdJa9poaIw4FpmtEaW9uOfi8DgehM7o4d0dehJQqVlbB5c/QXoI7NJQCMcPiUfj1ERESOlULs2ajzn6k7xcTA/PnQ3k6gvDxaamDb0ZlapzNag+nxEBsOc9H27fDuuzhGjSJp8mQeqKlhZlMTl+/ZQ1p8PC1eL8/HxLAyJYUKp5N76+sBCDgcvB4by7hAgGTL6mVgfWQYhI1EGo1cYmJ80bY4YAgYdgh3pJ6YSA1h/14CDWXQWoE7XIvpaCXW1Qg0QrAI9gP7wel0ETRTiHgyML05pBrJxIXGEDCHEDHiTumDVQWhUFfwbwPaDIMvNTUxvr2dnHCY7W53dKY8Pp5St5uRcXGEfT6ctk0YGDF8OLnhMH+/4go84TAEAjSGQiRZFkbnbH1MTHRG1jSjIbakBDyeg/W4wSDnvPIKvP46fP3rB++/pCT6i1BW1sH6bBERkQGiECsHHbp4v2FEHyCzrOifO4NMUlL0lZUFcXGMDYcZW1wMr74KQ4YQf9llzGxpodHh4HO7dzMiGORAejobExL4bkYGBYEAj1dVdV1mn9NJVjh85AfGjoFtuAg4fQScPvCMh869JGwb0/LTVldCS00xoaa9GO1VxFj1JMW04whX4whUQ9P7eCwLu9pDYowbhzsBOzYTpzcHOyaTgDmEgJlG0JGKbZyavz6plhV9gIzoer9+w2BKayv/U1FBbV0dOxITcQPVpkmTadJgWUQcDiynE4dtM3foUHa63bzg8TDxnOgDd1XBIE5gSEoKXHRRdGm32tpoSG1uxnI4cJjmwVlc04SNG6G+Plqi0LkyxocfQllZdLWFznKWT/7MiIiInAQKsXJkn3wwaNKk7kuBQXQ5qJycaO2l18uMcJgZ+/dHl45yOEicO5fs1lamtbYysbqa/OJiGnJy2B8by1ezs0m2LJ7Zu7frhzHMSfjBNAwiZiLujPNxZxxcczcSsaisrubA/mLa6kqI+PdhtFXgSwyRHt9OjKuF6JTtu7jdLmJi3KTEeIiJ8eCIzSDiyYgGW8cQgmYaATONsJFw0gOcExgeChHb1oadmEgASIpEeKmsjFrT5GOnEwfgBiqdTppMk0Tbps3hIMa2WZ6ayn+npPD/qqu5My4OgBrDYLfTyblxcRy48ELyMjPhwIGDFx0yJDqDbxjQ3BwNtnv2wM6d0V9qOkNseTm88EJ0jdxDHjaLr6qK/gKUnq6AKyIiJ0wh9ixS6g+xeJufytYIWXEmiyZ5yfe6jv7Bo8nJgeuu695mmjB2bPTBseRkpjQ0cG1NTfSBI7+flC98gZaYGHyRCFmtrYx8913q8vJoTknhX7KycACLq6vJjEROfHxHYJoOfFmZ+LIygekA7KuowDDcvLu3ivqqcgKNpRhtVaTEtpIe305GQgup8fUYVOJyOYmJ8RAT4yap47+GK56gmUrAEZ21DZhpBBxDcNgnv840zrbJ66hntYB24DcVFTQ4HDQZBk0uFw6goWOJtSGWxQGnkxjL4m9xcdyRlcXVfj8PlpaC200Y+H1iImMDASZNnhy9iGVFf3GB6MNniYkHZ3JNE2pqojW6lnVwJjccJnvrVnj33WhNdqe33oqec/75Bx826yxrEBEROQKF2LNEqT/E1a/UUeI/GAq31AR5flZa/wTZT4qPh89/vusw4HJFQ8r48VBdDfn5nAd8WFWF/7XXSNy5kxSXizqvl3KXC8P+/+ydeZwkBXn3v3X2fXfPfe6yN6zAAstlNKigBgTlVbyixnhFNK8ac2PMQeQV1KjRoIIkJvGIVxRRQUBEFLmPvdjd2Xvn6un77q7uqnr/qJ67Z3ZmL3ahvp9PfWamuruquqZ29tdP/Z7fY3Luww9T6ugg19/Pl5oe23fmcqzRlj9udjlIkkRHe5TOzihwJgCNhk4ikWFkJM7OkQTje8ep5YYJO0vEvDVi3ipt3gIxbxWfS8DpUnE6VNxOB2GnA1mR6DU1xKxVudWkCDUxMmVPaAi+EyrcQjN8yAZwfSbDBzMZDGC/JCFIEnFZZk2txmC9Ts7tJi/LHBJFPtTRQV+9zpb9+6e2cWswiN8weJ0g4AuHrZW6bi29vdaHGl23UhQAqlUqkQgujwcKBctrLYqWHSGbtT7wTPLoo1ZG7ubNsHHj1OtJJq1pZ96TnzBhY2NjY3PqYYvYFwk3PlWYJWAB9hd0bnyqwG0vC5+w/U5Wf/clHawYzXDDuefSv3laNAuAf/VqcLsZ7Rzgk1tMznt8iN+XR2l77jmMep1STw+Pu1wcVBT+9p576BAExs85h9+Fw+wLh3lVqbTs3NrlIssSnZ1NYXuetU7XDZLJDCPDE4yMTvDY4QlGxyZQqNDmrU2J25g3R2ewQbu/js9bxOkcwetUCSvKlG41BLUpaiMzRK4lcE3hBHzIwDr3k5kMJvDycpmXl8sAjEgSuiRxSJZ5RalEVNcZURQcgGqa3BiNUhJFXl0sWpVT4OuBAAcUhbfk86yHec2DiXXr6OvttZIxJjnzTKvJrF63/LaSZEWDAgCTTgAAIABJREFUlUqWCK7XpxvQfvxjSyBfe23zoE341a8IVauwYoX1PBsbGxubFw22iD3NWapFYKzc+rb8+ALrj8fx+GSBrZk6wyUDkHgyX2ld/V25koNtfc1KsVVlzegOxMA5/OEZvbT7/fwom+WxYpELtm1DCgZRN25kWzDI/T4fF27ZQv/evQxv3sxen48H3G42VasnXNhKkkh7e4T29gjnbrLGyJqmSTKZZXRkgtGxBLtGJnhgW4JyuUpDq9IZhpinRpuvSkegxECbQE9Yx+8Bp6OI3zGKKM6uyNbFwJQlYUrkihHqov+Evj+AvkaDTySTACSa/mgNuC6fZ0KWycoyVdPEAXzP7+cRl4uXlcusb1bL7/R6+UYgwBvzeS5utYPe3unv63VrOfdcK99YVS1hC1b1NhazKrGTflxNg2efJSxJ8OpXT2/nrrus6u6rXmUNBpl8fa1m3Q1QTsyHAhsbGxubk4stYk9jRioCH12iRaDT3bpK1bHA+qOhlWVhLgtVf+dWindKAW4kwK64i9vWKgwCg243vOY1IAiEQyH+aGyMl8kyr3nySYLZLI1LLuFOp5NvBIOU9u7lDb/4BWObNpHu6OAur5cN1SprF8mtPR4IgkAsFiIWC/GSs9cAlrDN5Qps3baLWkVndDTB06MT5PZMz7d1Kw1i3irtPo0VnRID7QLdYZ2oR8PlzOA1cnjZN2tfhqDQabiQi70zRO5k9bZ1BNZoSeeOHXWSVZPojFG7y0EF3tFs+CoIAoVmOfn1+TwbajVUYK+q4jBNfuN2c7/Hw3nVKpc0RfBzqso1PT38fqnEV+Lxqe2mRZGQYSCI4nzLQHNKHTDtx63XYdMm8uk0wVRqOkVhYsKq7prm1Ihltm618nAvuAAubsrpfN5a39Y2e7yzjY2Njc1pgS1iT2O+ckheskXghnN9PJHQZj1/0GdVbo8XrSwLrWhV/V1SpdjpnCU21pTLXGmaVhUunycWjXIFUC2VuGjHDrwTEwRlmS2qyr+Gw6zO5/nNV7/KxFlnkVy3jt+6XPRqGr2ahnACb0ULgkAw6GfVqj46JoUYUCpVGB1NMDaasL6OJXj8UIbHDplTzxEFk7C7xmC7xKoehf426ArpxDxV3GodDyWcWn7ePuuif8pzO5macLAa4uMPOxktTz9vR9rgM5c6li1kW7G5Wp2KApsUt68sFunXNHrrdXZ7vdQcDh52OonLMglZpiaKqKaJaZpsWLEC1TTZvm8f3qZFYUczF7evXp8fw6YosHo1+cOHCU76ccGqwBaLVmNZImF5bxuN6Qa0ctlaF4/D449bqQqT15Vpwn//N90Ag4OWdxeslAZZtibj2U1nNjY2NqcEtog9jUnUWqerthKJ/T6FH10R4canCoyXdTqOZzpBk4WE6FxaVX+PulIsirOqdOcB5zUasGkTDAwQ6+pitaLw1mqV3oMHUctlPJJESpL4u+Y41kM33YTW3c3Bl7+cIUWhrij0lkrUT7Bg8XhcrFrVx6pV0+OCNa3O+HiSsbHklLgdH0/y+L4Gj08VYiXAQ8At0N8OG8/w098GnUGdqKeCmyyKkUcx8ngb081YWtbgi90So/UQI1qYYS3CiBbint1t/PHZnRiCk+NNm67T1vTAjpsmReCcapVvj4xQB3YqCgJQEkVkLL+tLklUDAOnafLxtjYedrv54fAwlzX9us84HOxTFDZVq/S3miymqtbAjklME9assRawrAWTnHkm+HzTflxNg1QK56R4nUxKuO8+KzrsmmumxgEzOmqN/O3unq4S29jY2NicNGwRexoTc1he07ksJPz6fcoJbeJaSIjOZKHq73GvFHs81gKcZZr8W61mRYG9852EHA4qHg9X1OtUSiXc9TqmquKQZW6KRtnX1cW9t9/OOckk2667joSi4DBNYpkMDacT3eE4umNaAqqq0NfXSV9f59Q6wzBIpXKMjSUYHbEqtuNjSXKFEo/vrLFl/3TlVkAgEulmTb+Hld0K/W0CXcEGQUeRVH0CVSwy4Egw4EhMvSagCqzPiNRFH1qzuUw0ZdzaSmpSlLoYAEE8LlYEABHobIpPs7m4DIM7Dx+mKIrsb9oCRMBlmsQaDUKGQUaWcZgm3/P7+XIoxA3JJB9vemYPKAq3BwKcX61ydbG40K5n4/fDWWdZ30/6cQ0D/uAPmDh8mI5UynpsskrvcFjV30rFWrd3Lzz5JFx44bSITafh7rstYfuyl03vK5ebuh5tbGxsbI4Ptog9DVioeesDfQ12VZ0n1CKwHFoJ0R63wMaISjxfZkXEu2D192RUihFFDspebny8wFi5RKdb4qZzfQjXX4+3XmeN202/IJCq11mbz2O43cguF//u8/Ezj4fP7dzJux9+mF1XXUUqao0CC2UyCIZBLRDAPEGWBFEUp3y2GzeunlpfLJbZtm0Xdc1g58EJHtwxQSGdRclmGI7n+K08XUV2OlT20UtC8dLVrtAThZ5QnW5XngvDWQwhh2IUUIwCnsYB3KaGs/goAAYyGSPIw4eCdFZDGFqYQ8UIn/hthH+6JHBcrAhgpSX45kSBTTaVARxsnl+/rvN75TLdjQYjikLO5WKL282XwmFeWyxOiVgdeF1PD4P1Ol+Ix2clMSxYXxdF8PvR/DOa5nTdmmoGVmU237RveL3WQAev12okkySrMjsxYVlfJv24pgn/9V/QaCDMGP7A3r1Ws1lfnx0bZmNjY3MU2CL2FGexfNdul3nihd8yWEyIDg0NzbptvtDrT3Tc18JZuW5E4H/LZXYPDeH74z8GTeNMVcXbrMSuKZUwZJl6ezv3er183u/nvYUCN3//+xy+8ELia9dSFwT8hQKuTIZKOEz9BFbfvF43A4NdGN4ot1ZqjHpNMHQoZDFraa6N5aikU4yPpygWy4QbccbTY+wZgj3NbbgDfvZt7OGJvnMY6HQw0C7S5q2iaQeJyRoOI4Vi5EnlJzjTGefMOY4D15iHwbb2qaEOmjg5ljcIwokR9VeUSlzRbO5KiCLjsoy30eA9mQy9jQZ7HA4chkFclvmt283eRgNBEKaiwF7X00NckrhjbIwzmykKCUlCMk3CM0R0S2baS7q6rAUsMQpWdfdVr7KeNznGt9GwRG2jgSIIVuatLMNTT8HICLz+9dMidvdu2L7dSmdYZyVeYBiWzcHhsP24NjY2NjOwRewpzmL5rn/RdeKF33I51Y5nJkvNyp2SCarV4f+1SoV/q1QQfv/3EV/+cjYIAj9yOJCAbtNECwapdXWxx+vlg+EwL0sk+N/vf5/UGWdw+NJL0QBHo0HfwYMoQOk4+yfv2FFntNy0FIgSBCKkiLCvR+KGN1iqs1AoMz6eZMf+OHdtmSCbSEIhS49aZHhPieE9B6a2p8gyHq+DFSv66OjYQHeHn++NaJT0Ej1qmm41TbeaoUdNEaCMp3EQT+PgrGMykahJ4aY9wRK2JdNEMnzoovuo3udidob+RoP+ZoW0CBRFkYZp8rl4nJIgsE1VcQBO02S7w0FaknAAdUFAMU0+Gw7zlVCIf56Y4PrmgIYxSeIJl4sNtRorlppqoSjWeN5JDMMSslddBYaBMDIyPco3Fpse+pDPW1XbkRE4eBA6Oqb9uMkkfOtblmXhLW+Z3vZzz1nieGZMmY2Njc2LiCWL2Ntvv50vfvGLxONx1q5dy0033cTFF7dMfmR8fJwbbriBZ599lr1793Lddddx6623znvej3/8Yz71qU+xf/9+BgcHueGGG7jqqquO/t28ADlZ+a6nE7MHKKSXXH1e7rlcyMYhADfUavx5rUajtxf1Xe9iJfB4s0kpIEmUe3up9Paiud1cFY3SV63y8Le+RWN0lF3XXIOO5WaObdtGw+Ui29+PKR/dZ8pk1Wy5PjVjvc/nxuezmsiubg5SazR0UqksY2NJxseSxOMpxseTZLMF4vES2Wxp6vVDWZ2k7gB/GPwR8K8CX4hrNjj5234Nh560FiOFQ0+hGDmcegKnnoCm/ouaGs6sSkNwNxMTorOmlmliaMHq7WhJ5+O/qU2LdaaTFVq3N1qC9dxmWoIBVICKIPCtkREOyzJFQWCHqiIJAhlJwm0YBE2TnCxTV1Ue8Xh4X0cHVxUK/NfYmHXOgE/EYpyhabw7l1vYltAKcc6RTlZaYXoARH+/lWXr81nJCpNjfGXZqsRO+nFF0Wo203X44Aent/PYY5Yv95xzpn26jYb1/Ln7t7GxsTnNWdL/mj/84Q/5q7/6Kz772c9y4YUXcvvtt/PGN76RRx55hN4WVYBarUY4HOYjH/kI3/jGN1pu87HHHuPd7343f/3Xf81VV13FT37yE971rndxzz33cN555x3bu1omRyuKTgYnI9/1dGK2JWCRAQotWM65PNKY3lYC9y0+uKZep6gouK+9FhfW7e4GoEsSqb4+hFgMPB6uDwSoAN+76y5WJZPk+vrQsZqeIrt2IdVqZAcH0XzT/uZWlUgRiDpbS6nIAusnkWVpalgDzUxbgEqlxvbtu2jUIR5PMTaWwJRTFEYr1JJjkLQEnUOCgztF/u5BP+3tETo6orS3D9LeEaE96sUj5nEYSVQ9hUNPotcOowoVZLOM3CjjbhyedTwmEpoUpCZGmiI3NjXF7I4d4iwBCzBaNrljR533LO5SmYfTNFnVrKyaQMM0+ZNMhg/MGMMbdzjICQIXl8usrtcZbU4rG5Ekbg2F6KnX+ePJiirwvo4OaoLAPyUS9DWb1upYf2CXJXRnNCRimpYAjUanx/hO+nEbDSsCTNOgXMZRr1vRYfv3W9PNZgrk7dvhwQetIRKT3l5Ns54bClk5uTY2NjanIUsSsV/+8pd561vfyjvf+U4AbrnlFu6//37uuOMOPvnJT857fn9/PzfffDMAd955Z8tt3nrrrbz0pS/l4x//OABr1qzhoYce4tZbb+XrX//6Ub2Zo+FYRNHJYLGufW089Twe2fPDsYzPXU4CwmL7ueFc36IC19X0XgrAOYbBcD7PuChS2LCBM1atwgUckmXKgoBjzRrSXV0YkQifdzp5UlH4523buOappyi1t1P1+RABffd+Cs8cRhN6eUa2RMeOtMFfrrXE7I60MUvkdbmt9UeDy+Wgp7d9VqataZrsGstxxyNxEvEUcinDCiFLKZ0mmy2QzRbYtevA1POtlISAJWjbI7R3nIUonsnaNStxSuVm5TbVrNwmUfUkqpGz1umpqertJB8LqFwuhhnWws14MOtrtho5qvfYirljeM+vVjm/WcmdaFYx04LA+zMZJGDI4cBhmiimyd0eD3lJ4qbEdOrD38RifM/v5+aJCd7UjPXKKApph4MV9Tr+I/lvZx2cMJ1ZC9b3559vfV+rWQK2ULAiw/r6rOdPVnAzmWlbQ61mVXLTafj5zy2B/Pa3T2/3vvus11x44fS6ydfa2NjYnGIcUcRqmsYzzzzDhz/84VnrL7vsMh599NGj3vHjjz/O+973vlnrXvGKV/C1r33tqLd5NByLKDoZLNosNf58H93J51jsFctJQFhsP8u9ZlzAoGEwhCWU/MC+fJ4hUaT//PMxATcwoiiMyDLS4CBJXafa38/PPR7+3eXiisNpvlx+kGedPn7dFLHhQob1j26h88x+PnPpGu7YUSdVNYkcQ/zVQgiCwNquIDe/IThrva4bpNM54uOWFSEeTxGPp0glsyRT1rJ9+17AukPjcrmIRoPNCnCYtvaVtLddQDgSQJEMHHoKtSlsZ4rcoFxlrWuEta6RWfuPOEXaDQ9SoWequcyq3sbQheOf8xs2DN7SrIaWgJIgYAoCN09MMCLLTEgSGVnGaRgMqSpZSUIUBMqiiMM0eSga5Yb+fl5fKPDvTYuCBnwpFGJVvc5VS40HW4hodNqTO9kQtm6dNczBNK0UBbB8ub29lm1h0o8LsGOH9bpLLpne5i9+Yfl0X/lKWLnSWpfPW9sKh+1kBRsbm+eNI4rYVCqFruvEmsHwk8RiMSYmJo56x/F4/Ki2OTQ01PL7o2Vf0kGrrNV9qSJDQ8ev0nmsx/oXXdPfa+OpKQF7PM7BXE7ENo/Xdr26AswXnR69xNCQ9R/0SEXgK4dkEjWRmMPgA30Nul3TVcqFzuXs/ZQW3M++pMjRXjMzz4ETmHlGviQI7Hc66a3VyHZ3o4yOsq+3l6TXyxY5yN84X8Iv5XaIOuD/DFDeM8b5P7iXX+1QSHhivLvPQDIMLnr4YYoZH1s2bgRBIF4V+O4hlYwmEFJN3tSn0e60zsdij43PGAl7JKJtPqJtPs5kELD8tulUjmQyO70ksuSyRQ4fHuPw4bFZr5dEkVDYTyQaJBYLEokEiEQ3EAr5kESRrFTmO+NlnEJ2qrlslTPFBkcGB1koZlGASTmlGbC35OKwFqZghFgV8qEoISqEqBDAFI58E2o57z/YXGZeSu+fmODNioKi6/zaMBAFgVQ4zEC5TDCbZWsqhWIYDDsc/OPq1XRXKrzkueemXv8Pa9diAB/at49YM0XBgAU9wIcOH17gkQXo77e+7t5tfTUMXKtXI9XrlLZuxSlJHN62jdj4OM5KhfGJCSq6jiEI+A8cILZ9O7m+PiaaWbuiphF97jk0n4/sihXT+5lsUJvBi+3v1sna7ulyrKvsMc82x4kld5IIc/4ImaY5b91yOZptTl78VmTTsf9DWDGa5sl8Zf76iPeIkVBL5Xgd68nY7ql+rJ/uqLNrzq38QZ/Ep1/WNuVV/eisxyV2VZ3LsocMDQ3x6Zd1L7ifG58qHNU1s5RzsG7Oz7cBf1Mo8Pc5iX9zNDNio05wSowoHt7hvoiE6eDAHh+5d62iV9N46N57UQWBjq4uDhXqfPqZGl+ZeAAVgw+4LuDTZR+fudQBpsGnn6nPsiHsL6tWs1QxOctOcDT0dHfN+nk8HiccCjMxkWYiniY+kbK+jifJZAsUChUKhQoH9k8LXFEUiUaDtLWFWR8I8mg5yCHXAB1tIdascDLsNsjFd+N0mTxyeAK3maRLSeMyUkjUiIrjRMVx5DKsC0s4JTARqIvBZuU2Sk2cHs3bELwgCIzH48f8/gE65/y8OR7n6qYtQO/qQgcaksSb8nl8hoG+ciWqaaIC93R2UhRFbq5WiTVH6n6srY2feb38v4kJrmlWbZOSxJPJJBeHw/jM1k1+S6YpbMNYorivo8Ma61yp0OFwTFdsAwFobyfQ3U2gs3O6AW14GGIxYjPzcP/zPy0he+214PVa/w7CYcvjGwpZiQ7HyKn+d+tkbPd0OlYbm+PFEUVsJBJBkqR5FdJkMjmvkroc2tvbj/s2j4bjPinK5oQy0xKwL1WcN0DheNlDFrMeHOmaWSjV4GgQgZWGwY0b3Gwbrlj73JmDwyVqssCdSo/1xGbHeklRiF93HXVNg0CAD3tUcteJeL71azZNJMiIKjkNvr6jzvtGn+AX2RH+ynUOdyndAKRLDf5zm8m7Bo7qcI+Iqir09LTT0zNbINZqdRITaSYmpsXtxESaTDpvid4JazKX2lyqCHz7oQCxtjA1SebuUgcpZRB854KsACZBqUS3mp6q3P6emeFVHTmMeprD2RSakUIVd9PnE3E2tZkuONGkMH7TgaMy0LQnRNGkMKZwYjzyHbrOBzMZAHKCAIKAAfx9IsGYLDMqy6Sa08p2qSrjsowpCFSaFoW7PR4+tHIlb8rn+dq4VQuuCAJfDIVYrWm8/lgtCoIA7jmxaP3905XcZmYvhmH5dCXJigWTJOu1mYwlYpuZuQLAo49aFeDLL4f1663Xj4/D0JA1WW9w8NiO2cbG5kXBEUWsqqqcffbZPPDAA1xzzTVT6x944AFe97rXHfWOzz//fB544AH+9E//dNY2N2/efNTbPBqOJIrmcjwFis3CLHaeJ7Noh4ZS8yqfxzOSbKHM28UE7mKpBsfCzH3+4nCVXKkx+wkZjYu+v5cvXNFGb3s7JlAxTUpuBZwSbzIvZK0nS05Q4dJ2HtgQ4IJ7hrniyT0UBBlkSzy9sbSff3nuSQ5XB8hNViINA6VctgY3nKCwfYdDoae3nZ7eFuI2kZ4WuHHr+1QqN+W53Zmqk9Gmb8Pj8oAvRNYXJOsLsd3bBr41/DDnpHNMYLjYICBO2xI2eNO8eSBHREwjmRVcjVHaTA1nZf/UJq3qbYCa1KzazogGawi+435eROC8ZlOZCVSBqiDwj4kEE5JE0DDYpVjpFAlZpr9cpqvRIKEoqKbJvuYI5ZVzROwfd3RgCAKfmpigs1ndLQkCLtNc0KawZFwuOOMM63tdtxawKrCTjWeAo1CwmseCQSuLuVy2BO7hw9YY33p9WsSWSvDtb1sJCjP/v0kkrIxcr9ceAGFj8yJmSXaC66+/nve///1s2rSJzZs3c8cddzA+Ps4f/dEfAfD+978fgK9+9atTr9myZQsA+XweQRDYsmULqqqydu1aAD7wgQ/w2te+ls997nNceeWV3HXXXTz00EPcfffdx/UNLoXFRNFMjhS7ZHN8OJbzfLIiyRYSuEcaTnE89vneB9N8b998O0OPKrK62fEuYDWLXX3vIX6Q1klpCr+Vm3c5vDKGInFfZB3/4/UyJrpglR+u6GbrkzLiXU9wd8bNvU9pXLnRxYX5NOvvvJNyJMLuGTnOrlQKzetFdziO+j0tNsAAmuK2ReW2Xm+QTGZJTKT59APDZCbyUMxCIQuVkrVMDM96TVZ1kPUGwRek4Asx7A2Cdx0/8Ph42FC44TwHklnGoacoaUN0OnUrHsxIoeoZVCOLamShvmfWdg1BnYoCmxa5lsA93tVbCabEJ1ge2d8vlVi3bx8d7e2MNFMEJkSRt+VyeAyDfaqKapoowM+9XsqiyC0z7oL9dVsb/+Pz8a/x+FSKwrAs8+tIhJfKMv2NOR+YlouiWPaDJqZhwEteYi0wJW7xeGDjRohErPSEyYpusWgJ5Jl5t3feab3uXe+yxDDAnj1Ws9ngoLUNGxubFzxLErFveMMbSKfT3HLLLcTjcdatW8d3v/td+voswTc8PDzvNb/3e7836+e7776b3t5etm7dCjAlhm+88UZuuukmBgcHueOOO056RuxyONWTDF4onKwYrRPByRhOsZz3+Hfn+HjqnhT7Z6wbfHCMO9x13L0qbw4GqRR0cMnQMHi25qfb/3oUwyRfEPjlyh76yhGedN2LFgiAw8FOUaSjVmPjz36GqOtseetbMZrTzdyJBIYkUQsEMKXFPzi0GmDwbEJnVUik3KClqJ1EUWQ6O6N0dkYZyLcxkmyKRcOAcgEKGWspZpvfZ0GrQTpuLTORRJ6JhvjW7hjRWIhYLIQgdKCFVuNwN7dr6qhGphkBlpwRDZZCNsu49DFc+uxmNaBZvZ0WtVVTQNGd1EX/Ca0gtus6720mEeRnWBRunpggLkmMyDLjioLTNBmRZWqiiAoUJQnVMLjf4+H/rljBW3I5bm02uBUFgb9sa2ONpvGnTfvDcSUSmRaf9bq1uN3WtLNGA1LNpklRnBrjiyhCpYJimrBrlyVkvd6p7UxsH6L2m4f5paeP3/S+xLpj4pUtkez3Hxc/7gsF+y6jzenIkhu73vOe9/Ce97yn5WM//elP563LTka5LMLVV1/N1VdfvdRDeN6xp2edHE5WjNaJYLmV4KP5j2M5FpgFz4fH+qc/9dhogQPfyHK4alARZCoAbhkKdWpFg/H3v5+aroMs8xGfj6ogsK2ri2ihgBEIsF0UkRoNXvnUU0THxthz+eUUu6zSsyuVQimXSc9pOpo1LrdJogaJ8en81MmpXK2E7GQVN14RcElQ0bFEjTdALBJgVWgFlQbszxtkayZUy1BsCtrJqm0xA5Uy5FNs3Tr9N6tWq+Fw3Ecg4CUaDRFrCxGLWgI3GjuLYNA31YQqGeU50WDJqeqtYuRQjBxe9gEQNjWcORVDUGYMdZgUuZPVW3XR3//RIgJn1mqcyfSQhyLwiWSSP0ulkE2TPbKMABQEgbNzOfobDUaagx72KArfDARYNUfEvrK3l4oo8q2Rkamq7X5FoQH0NRo4jqXZTBTnR3gZhhX3BdYEs0oFMZ+3JpRJkmVRyGQ4WIUfPDrMxyoZqnqE7+2zMsB/cqmDnu/8l1Xdbd5FBGDrVmt/K1daInmJvBDE34myQdnYnGiObs7lixR7etbJ4VjP80K3+k8GyxlOcSy2iaVaYGY+90iPXfnzBIdnVsCHy/D1Ic7oUum9IgaSRApYr+tkBQH52muJA05B4KtuN1tkmW+sXcsVlQrV7m6GPB5GBIHLtm5lzZNPUl+9mkrz7o1SLHJpfB/JRohn5IV/V5NTuW44f/bvfnYV1/oz5pJg0C/Q5RFnVXBvfLzKfcO65ZV1eSDWM2tbnUqdj68uIxZzJBIZEokMBw+OUC7XyOWK5HJF9u6dHV+lyDLOgJ99RgDNHSAaDfK2c2Os71uHy+dgtKTzH7urmPUsq9wZ3jyQpUPJ0KgdQhYqyGYJlz6OS5+f71YX/VOe25kity4GTlj11j1DaJrApZUKZxw4QEd7O4mmRaFimnwslUIxTZ5zOCyLgmmy1eGgJoo4AE0QUIFbwmG+FQjw+XicdzUnm21XVe70+RgslTDLBjfuNhmrmnQ6BW5YLdDvPkZXbl8fB6M9ze2WOVSBLIP8xBMl37R17C/o3PZ4nH/w+awq76QfV5LgkUcsD25Pz5SIDe3dC1u2WNPOJn26k1Vil4uDxcZpZTFbSHCfSBuUjc2JxBaxy+D5vlX9YuF0Ps/LGU5xqtlTFvrw0OWcXh8xTX5ZKmEyY5yqaXKOrlMVBFaffTbpl7wEjyBwv8PBdxwOUmeeyeDEBNmODjJeL/epKhdkMnwk+RQr5G7eIV8MgGia/G1tG8+JAb6v9E4JtlR1fiWvVRW3okOXR+SG82dX0VpNNJsteJ10eYLA9P/W4/E4bbEYz41k+I/HEiSSWRzlHGuUPJVslmS2xKOjCWq6NaHrELDtF+BRQVdclJ0BGm7Lf3vVXzB4AAAgAElEQVSvJ8APhgb5zBUXoIgZOkLtiEZlypJQLifYEU/gNVN0OzIM+vJ4pTzexv5Z78MQFDQx3IwFm1HFlU5OtSxkGLyu2SRWA2rNQQ/fHRlhXJYZlyTikoSIdW301Ov4DIOkoqCYJg+53Xw6EuHyssanf5ZhfwVwiHDlID/N1vhdfnRKyO5VFEK6Tsgwljy292DZ4JpHDWu7kwgKT8/5kPSU4YMrr7QSEyb9uKZpidRSybIp5HIgSbgyGYjHrYERk3m3+/fDz34Gq1Zxo/ci9hd0RNPk/doQB0QvPy90nZIWs8U+NNt3GW1OV2wRuwye71vVLxZO9/O81ErwqfYfx3I+PMwVFl9odtJPYZpcqutk6nUuikapXXst5vAw+1wubne7GVqxgotWr+PxhNcq/b2yk1CqwEcf2MmI4Ob76nR1+U/y22jb4iC1ejV6s0KWbCFsobXg7fJIfOZSx7Inmo1XTP55h4tRsRfaegEouAU+c6mD254uUtudnrYllHJoxSxaMQfVChQqzBx9EAc+er/Axk4nvb2dli0hGsLwBPjCnk7iWMkPAgbrPTk2R7L4hTQrnCkua88RkVIoRhG0OPHCGJoBqgjtboF42cRZczOajbKqLYbT1TZVybWqtyduZKwABAyDQHMYgwnowHuz2SlP7nCzkqsV6wykU/xmn0Z5Umj6VQg7KBsm//AEfP0cAcE0ua67mz2qysMHDrC+ue173W72qCprU0W+tbU2q4orADfuNmcL2AXYWYT3PqM3q7/NK1kQoDm0gUbDWoBsby+etWutqu3EhFWxzeUsy4LDwVjRmo/cZVa4qfos44KTnytd0/+G77vPGvV76aXTzW2aZlkiTgIzK6+HitYyk/0FnVfelcAlt75G7LuMNqc6tohdJs/nreoXEy+G83yq2VOW47Vdig/w7fU6b6/Xp37OVCpcrOt8sFZjrSwTeO0VvL5QZ+uuCr/aEKJU9vLlxzeQqTeFxSs6cTkEzr/nl3Q9lSI9I3D9HaUh3lHJ8g11Bc9Koan1EWfrul2XR5pnSTgSraq9k/aGjKlCqM1aZmKaUClCMWcJ3GIOStb3WqNINlugUtHYvfsgAENZnWQFkETwBDA9AbZ7rQVPJ3jX0hny8NmXOpHMKl98fBzFSNKtZuhRU/SoaTqVDKpYwquXyEwcZH1zqAOAgYwmhalJEbQZCQo1MYohLt33eayMlnS+8psyo+Xc7AdSVfivvSAL7Ndhq6qiAE7TxGsYuIAtNZHP7Wzw23O9JHqChHY0yIw2PzT1uvlBVxuxegBj14xms4gDCnVrdNscEhp8b9TkiYzJjzazqI1Bdzqha8b9dF23LAsru4kXdQ5VLbFrALepK6k1J/ntTGu89/4Et+7Zi1ytWCJ2kt/9jjOefhqq1dkJDcPD1sjgFlnpR+O7bVV5bUWian30kAVozLjcF7JB2dicStgi1sbmeeJUtE0sxWt7LF7esw2Ds2dUbc/1KdxxvsqPKxUaArzsupfzz08VuKCs8/QaPxVVIpPbjDuRoNHRwe2qymOKwp/1Pcd14/v4udxlTQc24Q+FUT6ROkBl7woyK1ce87lYqNr7ZGIRUSAI4PZZS9ts7+15HSZv8I8gIJNMZEgmM+x9JgWJjFW9zWesZQ5jssxf/jqIwx9gj+4DTwA8Z4B3EzhcIEBMztPrSNGtpnmFnuWanhwOI4Vi5HHqEzj1+eO8G4JnqpnMErnR5tcgCMf+QWpmfNp4yWS80uJ8GkCqZr1Pl8CfPlQh6hT4m/UjdHoknisbfPx3zQ8TniIUDTIjM8qtIRWjzUU8XgWtuc4pwR+uhJoOt+6iz2VZTRJrQyAKsCsHFZ39Fat6e9vZS39Psy0LlviVgVHRzZ+7zp16XkKD7x3SqLsv5DPry0TLZasCK0lWZBhY31erVmbuyAjcc4+Vs3vllc1zY8BPfkLe5eWa3Hr2Fy1B7jD1Jf17a2VXWoyGCX1eiX6vtKgNysbmVMIWsTY2x8iRqiSTj+9LOlgxmp56/HS1TRxvL2/YNPmj5i1jfArfeFkYE3hYqzDUEDln9Wq01atxAgcUhd2KgnbmBnYKCr5SJ90xP2OXdKHvVWn79m8Z62xDBw4qCitTKVb/8pcUuroYveCC6Z1O+htpnVUrYkV8tSJTW/ZbpMst8J6NTsRikI72dkZLOg/tqFN365bBtK41K7a5+V+1GrlEEhLJaaE2iSyDJ0DCGyDh8fOUJ8BQTw8retrxBTxIaFbWrZ7CYSStFIVm9q1slpAbJTyNg7M2aSKhSSFCphO1PDCriquLcyZ3LUCr+LTFkATLvjEpdCej1p7LGNPne3feWmayMwfxyuyKq0OEdA00gz43fPMilb94pk7i3AgEVThYbEZZwONnhLmkP8hH0mne2PTHZkWRfYpC/4y7CJO0siw0YFooz/n9/EiPolQEbhNFS5QaBpx3HodjMfrCYcuaAKBplLr7uLPo55s/GcOnCLTVS3xh/34qoov9vrVT2/xp6VeckS/wzv99OW39ndbfjGoW98SEVTX2eICF7UqL0e+V+MlrTu7UTBubY8EWsTY2S2AhoXqkquTsxyWezFdmPT7TNnGqRfUsdDxL8fLOfK1PFhAEiOdmi/jFEIBLdJ1LmsH+juby3+UyOyWJtX4/wYvO4yvAJ8plviqJ+NtjjF95JcVwmLFwmHf7fHSFw+z44Q/R/H4QRR52OAg2Grzu298Gt5vfXPoKPv47ndGyiWIa1AWRHWmDv1wrtGwIa0VIhXUhgb15k/gMgdMqLWG8uIDAU1QIxqxlLloVs5ZDruQhPUPglnJWdS+XspYmyZ1w0xMSiiITiQSJRoOEw37CkSiRyEoikSABvwcHxRmxYNMiV6/nOJSdoNYwcJQPzRrL2xDczYay6KypZZoYAkGa+kDwZEJfktgPqeCQhHlV2rlRawuiGRCf7ccOVesM/Gy/5X2+1InukfC4dHg2bYnYwrQ4rUdcbHc4yEsSmiCgAA+7XLy1u5tXlkp87qAl8A+UDd7gbWekrw6jyXmH0e+y/MCJ9PxDHG9V0Z9MRGhy0BfjGj1iCeSK9b69pkTCfTEOc/Z5iBlVgtTZXXfw4L4KT0xoPBjYTveOrVaqwqZNAGwS8ry9vIWH5Sj/qa6YPlaPSFmHRHX++bU9sDanG7aItbE5AosJ1SNVJZdatWy1j9+NV9kYUcnXzZMuakcqAh9d4D0fycu7sBdvvog/Eq2E9IUz3BYq8J6REf7W7UYXBEJnnEEHkBIEBnSdflFk4s1vpi6KqIEAn/L5KAoCrzIMgoUCtw8JjHZ7wS3zb9vu46LMGH/YuJjvHvLxz/0Sn98scMcuk7gmWnmzcyuhwIBf5FMXu6YE3JGax1p5bWFhMYzqpKA6wdeO1A76jJeK9SpGIQelPJRy+LU8FwSK1PJ5yuUq4+NJxsfniy5JEgmFAkQi1oKnjV9nB8lIXhI4CKsFetQU3WqG9d40b+rPEhbTyGYZuVHG3ZgdOWYikTECPHo4SE8tBM4Iw0KYkXqYgt66etvVbJK7+SmttdXgKNkUk1onVPwmM+u8d7kFPllJY4yVaG80eE5VEYAxRWFNrUZPvU7G7SZTE3nbFpPhd4SgR4dHZpzP1/dByIH66DDhTBUwIewAvwLJKhQbdCxQ0T84I2bsUAUOzanwFgWFnynd8173Et9riZk1koI1KW9/UedLeZnXOKL86pDEBcEU/3HAYCCV4M31gzjQp0TsKi88Ov59dK+PC72Xs7donY/zGynaPBKf2PjC7kOweeFhi1ibFzTHo7q5mBA9UlVyqQkErfYxXDYZLk+Xs05m/uRXDskLvudWXt4et0CpbnDlzxMtu6BbbedI1oPleG/9YFkEmlyo6zxTLGIAYkcHYNkWLq/XGRFF5Le9jVypRO5JATaFoN+LNu6iJ11hQnQitQf4p2iUq0e38O2d9zJywQV8xDnIfcM6XrNOyNQ4LLhBEKaayZbaPLaQ13auGG5VzdRN6HAJdHqs/V454OeuAx7G8hE6/Y5ZwnlfssTtj6WYSGZx1Qqc7SrSKORJp3NMZIrs3JNE25VEEqDUAG3yNAuQc3rY7/GDxw/ubn48eCYfvThKe0gg6Cg1K7eTU8uSqEaOZD7JOkeCdXOmEBd0FyNamGEtTIkIZdMPzg5et7qNTo+0oG1jIWIOWBUSyVYN9hemnAGAJUzfvX7+v49WCRVXDkh8d1uNZLU6azrcpkqFr1YsRTkmSdy+S2e4aMIvxyzfw0wCKvgV3t0nsrJN4vFsgwPrAnB+FB6eYHBrkhtWC+xWFD4Ri7G5UuFjmQzDNYnrHzXYL8pQblhl3KUiCCSE2SL9ZvEMbnaeAVmQf12lAfQbYcZc55GWXJwfhAGvxN8PaIg/1RH1Bj+8LMCNW6uMVwz+9fCzDEykoPImCLmWcTA2Ns8vtoi1ecFyLA1IM1lMiB6pKrnQ4zuzdd77YPqIt+hncjIzZBO11h3b42V9npfXKwtszdT52eGlm0WXEiN2PLy3M9+FC7ijKU7weMDjYcCd5vFdecjX+VDxLD7n7WVEcNHX7eV+j4cNfj+YJvVgkCvW+Hng1VFC+yfY+sPb+ZHcw9/ELuYNZzkxTBPfxATVYBDd4Wh1KFMsJNrmiuGPPFQhU5t/y7fTI/AvL50WGmfHFMbjOTraA1PrRks6NzwpMFqLgC8CPtgjwWCPQFCFkbRGMpm3KrjlfNOeMPlzESola0lao3SH9sKXn7auZafTYdkTwgEikUFC4ZcQDbv5n4NlSkaFHmeWbjVNj5qmR03hkyqsdY1wtneE9WEJGhpOh4qpiWi5EJ9dGeI/zADbiyFGtDCHtSh53cXcILeQCpvapFlCfVLwj+Vr80T8XGZ+yGhl6fjtmN5yWEayalq2hS2zm+68Mlxw/36u2uii3QlVp4ObLpX5x3KD4dESq8w6N13iwOURecTl4h6vF10Q+Gg2y5cmvJZ14ENnWM1m/7ZzOhpgtd/youwrQKExtb+FfLdzmXzFQdHDQdUa0PBGt8BtGwXAAW98I9Rq9DeK3LYOyxteD0DGmG42W8bEMhub5xNbxNqc9hzNFJrlCMHFhOqREgZaPQ5WrM3kGMzFbtHP5WRlyMYcBjD/mCbF+Uwv73sfTDNcWl7u5VK8dycjR/eGc308cU+K/TuymMBeycegT+LPyuMIZTdn9fXRuP56YoKAz+lE9yi4Qg4ykhMjHOCWy3y8Z0UXBrD7O9/BLQhsf/Ob2a5ao2M3HjqEoqrsV3x8fafOaN5J0GXQ7mKWZaBVBfFIYncxFhoGsSMzuU6BQMRa5mLolpCdErh5DC3PUK2AWM7T3ahSrdYYHU3MetlQVidZFcDtBbcfPAPgPoveqMzLBk3evkGn6C5Rzx8iIlZRjCwOPUU3Kf5sEA4VDOoGiIJJsuZgTyXCiBZmRAtTEyO8++xOQt4o5ozkhElhOlfEH8v52ZHRpxrLsmUn6XrrMumFHRI3nOdkZhm10yNxq6cG9Rr0wGhJ4JYnNcZosLFLZ3OXwFZV5ZDhsBrQqrolYmdmW20MQY8H0tqUiI2eE4QLo7wzmeEHd6UsASwL1vNyGmQWV7azfLmybC2TmCZs3jz9c71ui1ib0wZbxJ4inGpNPacLJ2MKzWJC9UgJAzMfv/9wiXR9doVzsVv0rThZjRcf6Guwq+pcUvzXcrugZ1oPFrvWT0aO7kK/P238AKsmu9MVBQX4P40G5xcKaAEHoQ9/gNfrOmOyjAfQTRNXIIDmdqM4ndweDPK0w8H//PrXXLFzJ3/SdiVPRyOwJsTZ+w/z8kqGbCzGhOlY0D/bqrFsodvlc1nIsrAkRAm8AWvBuoNeNKEIYJqIUo0/W1NBrhRJp3OkUzkymTzKRJZHD+SplQpQKkACHBJEEyJ7hwT+4RegqgpOp0J39yCxqJfeKHQFddr9GpFwGbdoCdvBRpX2whh1YwxFxGouq4OZEaiLwVl5t5oUQTV1MNuWPJb3SOdnurFMBkwkYbYXeSm/h9nVXh2Gc4w54IGQyKGyAA0Dbh+aVXDucAkoIwW0ika/XMeIirQ7BbzrXfyPQ0VwKXznQplbdunscTt45so+SFThm/umN3J5FxgmPBSHZiU/FJDJiyL+kzRkwcbmZGGL2FOA43Xb+8XIYtXW4yWCliJUF6vsTj7+ih8USc9P7Vn0Fv3MCufJzJDtdplLjv9a6DxPZk56J9MJ8mXafO551oOFrvWTlaPb6vfXKhtTBlbOEAGCJNFlmuwpFCgD6lvfigpsADYB9UaDlarKPleYp6tOGPDC+VHWNA7y1b2/5dP+S1l7xVo+H4nwQDrN/92yhWJHB9VQiAZHP2kMFq7iLhWXBD0unYIuz266EgTGDSf3FDzccH7PvNcdytb42hMZEskcLq3ABd4SRqlAJm15cas1jUKhSD5f5rkW+/V4XIRCfXTFnAy0CXSHG7T76mSNCkG5gMPMoRoZVCODr75n6nWdpoaS9VuDHcTp7FtL5IYxhaVVuRdirhd5Kb+HVtXeaXE848Ns8ymTjW5dnhpQg7MVrBBkqFQKvGa0gtcwqAQdfHgz7FVVvlAss2eiRmnmTtYErE8ev7Iu4kEXNF7aTl84wFfHxriuGSX2jMPBz7xeNlcqvKJcnnkoSx71a2PzfGOL2FOA4527+WJisWrrly4NHjcRdDwmiC3nFj1MV+efrwzZpb7nhcTmXGE6NDTEzaPeedaDha715yNHd6FM3yMxt//+M5MDHS67jCtrCRjX4HAJRAFhuMSDUhs7pBAdHg9PO52ERJGeRx8lftZZjGzaxJW9vQQbDe756U+5pS1Crr+fPYpC3TSpNxoc6YiWGg82yWSzVKXBlEgTi0n+325/y+SAVuN9AfqCDm58ZQfQMe8x0zSpVKrs2r0PSVSmhG02WyCdzpPJ5CiVKpRKFYaH4bEW2w/5OxjoUuiPQU/EoMNfJ+qp4CJNUK3gMkdxMTp7vwjUxQA1yara1sQIH1sTZiznZXvBw1Il21wv8pFYajW8ldd3Li7TZGBGbq0JrNA0vpBKMCro3NEjMZav0eF3sGLfGL/JiTiDAlGXxPXrZL6mSjgNAyeQkWVk4LduNzdHIrw7m50SsQlJoixJDCz5XdrYPL/YIvYU4GR4/16oLFZtPdWGCSznFj2cPqN3l3Oel3utn8xzcKRM36Nl6ho9VIJDJb5DG9/xtvHGkIurRJHuUgl3Po+5fj2hgQEKbjeaIFAXBPq3bKHU1UWhv59/DYd51unkP++/n/PKZRIbNvCs281zqkpfoTBLNs6s4o4W9Xld/K1E61wBNV48Nl/uXARBwO120dkZpaO9fd7jpmmSz5fIZHKWwM3kyaTzZLN50qkcuVyRTL5CJl/h6Z0zXylSq3mJ+GQG2kUG2gV6IgZdwQZRT5WQs4KianjkDD7Rqt52Afe8BPbmJQ5WQzxXCrOvOu3BHdHCaObs3/ly3/NSq70DfnFeJNhymO8LrvO2GBCbFtx/kUrx56kUJnCwmU8bajR4RzbLGk1jt8OBapoMKQobzWOwotjYnGRsEXsKcDK8fy9UjnTL+VQSgsu5RX+6sdTzfCpf6yfqjshi12jYNHllowHt7XD55ajAGcB4Pk88l4PNm/H4/ZzldrPKNMlqGmdv3UpHpUL9zDN51OXim4EAHzpwgJ7f/Y6JM89kZzjMF8Jhzq5WucFjTYQaLel8bXeDXNFYli2hVUXXJcFoyeDGx6tcOSBx1wF91rSzpWy3FYIgEAh4CQS8DAzMz0fVdYN8vkgmk7eWdH7q+9HROKWazrbDJtsOg3XHQwIcSIKPkFujzVujL2bSGzXpCjZo82l0OXX6fUUuDYwyXhWpIyIKJuU6jNR8DGsRhrUwVSHCm9d0oOht1EX/kry3S62GH80HgqNBYHbNeb2msb45Ka8MlAWBWKNB4wjpGjY2pxK2iD0FOFnevxcip1q19UicSqL6+eBUvtZP1B2RmdfovlSRFRHvEa9RFegNBOCiiwBLfNyuaVCrwQUXgKbR7/dzlWHgLpW4YscOonv3Iq9fzyOyzLNOJ7FslpX33kti/Xr07m5+c/UgbsPg08PDqM39POtwYAKrNQ13iwrcQhXdyS7+B0b0WQ1PO9JG09d5/D+UWAMa/IRC/nmPjcfjRCNRCoWSJW6zebKZPOl0nmy2QCaTZ2eiyI74bCuLW2kQ81aJeWvEvDW6gw26wjphbx3FSNMrDeMIKHT5FTxVBbkhYQoKNTHSnFwWaXpwLR+uKahT257raXZJ5rxBFktt1LOxsWmNLWJPAU43IXaq8WIXhqcTp/K1fiKrxJPX6NBQilWr+o5+Qw4HbNgw9eOrgVfX6wxHo9DdTbC3l9cbBivSadxPPIFvZATX4CCYJopp4mw0OOdHPyK/YgXjGzdyWzDINqeTfxkf55ya1Wz3sMvFE04n68tlOpi+XX3j41V2ZGcLen2O7h0tm9yxo76koQ/HG1mWFhS5AIZhkM+XyGbzZDIFshlL4GazBQ5m8jw7VqDesCKtRMEk7K4RUIt0hw3avFVi3gLtvhpBDyjKYWTZGu3rU2TCiowsy5hqiIYSm/LfetUI/3BulLoYAEFYVq6tjY3NkbFF7CmCLcRsXiycqtf6qVwlXhRBoBKNcrBjgBsfyk7F9P39GeugowO5q4sVLhejqRTZp59GyWaJVKtE6nUuqlZx6jqXf/e7RD0ekpddxnaHgx/6/XgyGQSsJqKdqsqv/qAb9hfhFzMapzpcUKrPCuVfqOnr+UYURYJBH8Ggj4GB+Y+bpkmpVCGbKUyJ20OHR0jpsDdZIDtUoFSu4FIaxDw1Yr6q9dVbo81bJOqpIYnDSJKEokjIioxTtkSuKDtoKFFijnY+v76TiYKMJ3oGNSmC0aLZ08bGZmnYItbGxsaGo7vtf6owUhH46LyYPokfXTFAv8c6fkFVCZ17LgwMgKpCKMQtjQbs2QOZDDgcdAPvyudZq2lcfP/9bEylKL32tTwbi9FwyagKmKZBXRAtj8ObBqyvX9o5VZatrg3yTb+Dy0olOvXTpzlVEAS8Xjder5ueXqvxbDzeNasJTdPq5HJFS+Q2K7nbswUePlwgl80jainCrvKUPSHmrdLmLeBzpIExYCsADlFAGnUQUCTqgpeqGKGhxMDViejtQvJ2U5dCILSenGdjY2Nhi1gbGxubJsfttv9J5iuH5KU1pSmK1UQ2iSzDqlXw3veCpkEoxPmmyfmlEsbICIIo4vV4eHuhwNpEnv2/foJr87t5m/sSfuHrgfEKsgSd9SKHBTc9HpHGhiC3uZxsrNWmROyPvV5+5PPx+kKBC+JxAKqCwGFZpqPRwHeadMSrqkIsFiIWC7V83DRNisUK2WyeXLbIcLbAtlyByngaSZvAoafwSllCzhIdAZ2ot4IiloD4rHqsKQgookLJ8FMyg2hShIbaZolcXw/eQBSv14WwxOEONjYvVGwRa2NjY3Oak6i1rtgtuSnN47EWsDrvvV72vvrVrOrogP/f3p3HRVXvfxx/DcOwyqaOgIrigmKaihKi19LEzCXN3dRKMdJrZr/b7VZWWvnTmym3vL9bmplpmrfMpW6WUN4Mt3LPrXLBXZHFYVEWgdl+f4yMjmA6yBGO83k+HjyKc4a3H86RMx8P3/P9+vujBTpZLLR1K0CLlbp1/RjmB2PPnOHCnl8ZmP8byXUiuSemHVsu5vF7kY6HTp/Gz9+fUk9PDO7unPTwwKrR4K3R4AYc1+mYFBpKy5ISPsy4urrEkoAAalksDCgowFMlzW0ZjUaDn58Pfn4+hIVV/BqTycyx4ycp0HmRlncRY8EF3Ioz0Jmy8LLk4uuWS6BnIQFepXhjwBsDmI/BZWwfOVBY6s65Qm8KzP4UEUSpti55pb4EBjfDz9+fgEDbLA+1avng5iZ3c8XdS5pYIa6o7ET3QlS3my2kUSkaDfhf85CUmxvejw0Do5H5Wi2UNUe5J6HAiz73hkAdXxpfvgxHj0JKCtSrh29cHDMvXCAhLw/9mTNo8vIICQggW6ulRWkprUtLCbVYMAKFGg2fBtiWux10ZWUpgNl16nDEw4PncnJof+UBtCytlhytlgamq+Nx1cDdXUtgoN+VYQrlVz0D27CFrLwcTPlnoSgdbUkWOtMFvMnDT5uHv9aIr0c+kA+kAbYH16wWLdnnPblw1JOTBV5kF3pRRCAlWj2evkH2Kcz8/Wvh5+9LgH8t/ANqodNJKyDUSf7mCoFyE90LcSc4u5DGbdFd9/PQpYvtw2q9On/qxYtQrx6EhoKvLwEmE+0KCuDHH7G4uaFp0YIHi4rYeeoUnDkDWi3Uq0eRhwfTDQZytVruNRoxXln04axOxwkPDwKtVryAUiDF15cPgoIYcukSw9LTAchxc2NxYCBNjUYGX9ME236q1cPDQ0edesFQr/yiECVWKzrLJbQlmVgKzsHlDLQlmWgun6eWroSAABONjJcxmgowm8zAacB29/ZCgScX0rzIOOrJgXwvsgo8yS3ywNPbB3//Wvj7+zJ+VD8aeN/6ymRCVCdpYoVAlv4V6lYjFtK4dnxmkya2j2u5uUGzZhQVFVErIABMJtvHvn1QWAh9++Kj0zE5NxfOn4fCQjxDQsDPj7Vnz3JGp7PPZ2vVaNhVWkrrkhI6lJRQ32ymjsXCSQ8PvvXz456SEobk51M2GOGxBrbFEz5MT6e2xTZX7AFPTwrc3IgsKbFvUwWNBqM2AHwCwKcFACZsc+WG1gvC05yDp9mAr8WAu/ECmuIM3EsvYDUV08RowmQyYTIVYzTmYDKZKDFayC7UcSHfiwuFnnhp46r3+xPCCdLECoEs/SvUr6ZOXWbn7w/9+5OemkpE2Z0+qxVatACDARpe+dW6yQSnTsHp09CpE/j5Udtiofb583D2LISEoAkJ4amLF3nqom1FsjNFRTQwGulktfKPzEz8LWVdGD8AACAASURBVBZal5ZSqtFQ5OZGjlaLFQg3m7FoNJQAq/382OzryxsXLvBgUREAO7y8WOPvz/1FRfQvKABsd3HT3d3Rm0zU9LWsrBoPit1DKHa/sgixN+APWK24Wy/hac7G05yNlyWbALMBD3M2OkseZpMZo8mMyWjisndN/y6FuEqaWCGo2cuhCnHX0migW7fy2yMjwccHmja1Nb9ms22c7aFDtiY35EqTVlICu3fjp9VCWBj1TSYSrjS2AO5WKz4WC+mpqWS6uxN2zfjZbpcv46bR0LmkhEZmM0aNhkydjp3e3jQzGtECbhoNWVotjzdogN5kYlVamv3rV1wZL9ynoICAK3dyrTgu7VpjaDSYNAGY3AIo1DV13GU14mnOxsOSjYc5F41brWoqUgjnSRMrBCqe6F6Iu1GrVraPa0VE2KYECw2FoCBbY3vmDJw5g4/fdT+nW7faVjdr1w48PGzL+F73ANgLOTm8kJPjsG1cXh4xly/TwGjk3tJS/IqKuGCx0NBoJNRsJthiwQQYNRpW+vuTo9USV1ho//p5QUFs9PFhQl4eD13ZnqXV8punJ42MRpoZjVV1hKqMVaOz3b3F9g8DvUzbJVREmlghUPdE90K4hJCQq3dgyzRsCA89RG52NiF16tju0hYX24YduLnBffddfe3u3VBQAG3bQu2Kh100NJloeE2z62YycV9xMb+ePOlwl9UKvJCdzTmdjq6XL2N1c8Oo0XBJq8Xg7k6QxYKf1UqpRsOvnp78r15P98JC3jQYAFsT/OeQEEJMJt4wGOy5J3U6dFYrISaTvDkLcQvk50SIK9Q60b0QLsvXF1q3Jj81lRB3d9udWnd3GDzY1rDWq3f1AbKsLNusCVFRV7/+8GE4ccI2fKHplV+zl81Ne90dSc11/z8pL+/qhiuLOvw7LY10d3eCzGb7Ag6ZWi39CgroVFxMkyvDFs67u3PY05NcrRZvbLMtWIFZdepw1NOT+enp3FNaCsBGHx92eXnRvaiI+4qL4crri9zcCLBYaubwBSHukFueBXnRokW0bduW4OBgunXrxs8///yHr9+6dSvdunUjODiYdu3asXjxYof9s2bNIjAw0OGjRYsWlfsuqtjpfCNPb8rhkeQLPL0ph9P5Ne9XQEIIISrg7g6NGsE999gaUZ0OvL1h4EDo18/WrOr1tiEJ+fm2xtbN7eq8t5mZsGYN7NrlmHsLQwF0QKPrViDrXlTEv8+f57mcHAJMJuoajUTk5bH+zBk+zMggsqSEtqWl3FNaShOjkYZGI+2MRkIsFupYLBzy9GSdnx+ndTp7w3rI05OBYWH8JdhxCq6PAwJY6edH6TXb5NFUcTe7pTuxX375JVOmTOGdd94hNjaWRYsWMWzYMLZv305YBcuSnDp1iuHDhzN69GgWLlzI9u3beeGFF6hTpw6PPvqo/XURERF8++239s+12up/iMZxvlAbmS9UCCFULijI9lHGwwMefhiio8HPz3ZX12SCc+dsDatWi8bDw9bcFhfbGttateCRR67epS0sBC8v2zy3TvC0WIi5clcVAKsVHfDF+fPlXjshN5eYy5eJvXyZSKORUo2Gk56e+Fks1DeZ0FssmDUa8jQaPg0MRGu1MvSaOXJf1+vZ7+nJmwYD0Vf+zFSdjoNeXrQqKaFVaWm5P1MItbilJnbevHmMGjWKMWPGAJCYmMiGDRtYvHgxb7zxRrnXL1myhJCQEBITEwFo2bIlu3fv5v3333doYt3d3QkOLj+Zc3WS+UKFEMJF6HSO42zd3aFjR9vwAouF4owMqFsX0tNt+zw9bU2ryWQbQpCSYhu20KcPXFlpjIICW5Pr41NuSEJldLgyF24Zb6uVQZcuMejSJUxcfRO/XFDA9AsXyHdzo01pKaYr43SL3Nwo0GoJNZsJtFoxajTs8fZmQVAQIy5etDexae7uPBMSwursbBrcdtVC3Bk3bWJLS0vZt28fkydPdtjeo0cPduzYUeHX7Ny5kx49ejhsi4uL4/PPP8doNKK7suLLqVOnaNWqFTqdjujoaF5//XXCw8Mr+a1UDZkvVAghXJyvr+2/GRm2RrR+fXjmGdsdWR8f2z6TyXYHVqOxjb21Wm3bDhywzXEbEwPNmtleW1Rka24DA213gKvItW/g3hYL/5Oba//c48o43Q1nzpCt1RJgNlP2Jz9UWEiJRkP3oiIiTCZMGg0ZOh0XtVrqm+W9TqjHTZvY7OxszGYzer3eYbterycrK6vCr8nKyqJ79+7lXm8ymcjOziYkJITo6Gjmz59PREQEBoOBxMREevXqxfbt26l9gydH7wSZL1QIIUQ5bm5XG1iw3ZkdO9bWuLpf81Zaq5btbm1oqG0sbtkQhT17bE1tTIztdUYjpKXZhjiU3cVVomxAf11jGldURNyVBR7KPFRQwJHjxwn2lMUOhHrc8uwEmut+LWK1Wsttu9nrr93+0EMPOeyPjo6mffv2fPbZZzz77LM3zE1NTa3w/6vK6KActnl5cq746jNvDb0sjA7KITU1u9K5StSqVK7Uqq5cqVVqVSpXaq1Ebni47cNotD0kBgSYTAQEBJDv7U1RdjYaLy8yjx8neO9eSn19ybhmxoRa6emYPD0pDgy8+rDZLTpz9qxztVaU4eNDic7x+Y+qPrYRERFVmidc102b2Dp16qDVasvddTUYDOXuzpapV69eha93d3e/4V3WWrVqERkZyYkTJ/6wnrK//KmpqVX+g5Camkr3ts1Z18RYpWuQK1GrUrlSq7pypVapValcqbUKc69klN3jTE1NJSwyEi5dwsPfn0atW1+d43brVtsQhWHDrj4wduKEbQxuw4a2u7sVOHP2LI0qeNDaaT4+tgfdrqlVmk5RU920ifXw8KB9+/akpKQwcOBA+/aUlBQGDBhQ4dfExMSwbt06h20pKSlERUXZx8Ner7i4mNTUVO6//35n6ldEjV+DXAghhLoFB0P//o7bdDrbPLbFxbYFGSwWW3N75Ajk5dmGHpQ1sefOgcFga2zr1r3z9QtRA9zScIJJkyYxYcIEOnbsSKdOnVi8eDEZGRnEx8cDMGHCBAA+/PBDAOLj4/noo4+YMmUK8fHx7Nixg88++4xFixbZM6dOnUrv3r1p2LChfUxsUVERI0eOrOrvUQghhKj5vLygW7fy29u3tw1NCA+3DTEwm20zJhw7ZrtzWtbE5ubCoUO2GRfKFm8Q4i52S03s4MGDycnJITExkczMTFq1asXKlStp1Mi2qtG5c+ccXh8eHs7KlSt59dVXWbx4MSEhIcyePdtheq3z58+TkJBAdnY2devWJTo6mv/+97/2TCGEEEJga2Kv164d1KkDzZtDQADW3Fy4dMk2M4JWe7WJNZlg40bbzAgdO1bJtF9C1BS3/GBXQkICCQkJFe67fugAQNeuXdm8efMN865fwUtUjdP5tvG86UVmQqtgPK8QQogaKCzM9nFFqVYLLVvapgfz97c1uCaT7Q7uhQtQWmprbi0W2xekpNga2piYq7MuXLPSmBBqcMtNrKj5ZLUxIYRwYQEBjtN1ubvbpvoaNMjWvNata2tsS0ogK8u27doHxXbvtt3hvebBLiFqMmli7yKy2pgQQggHHh7QuPHVz3U6W3P7xBO2h8VCQq4+QJafb3ugTAiVkCb2LiKrjQkhhLgpjcY200FQkO1zNzdbsztsmOPCDULUcM7NpCxqNFltTAghRKVJAytURprYu8jUDn408XNsWJv42R7uEkIIIYS4m8g/u+4ijf10/OfhOlW62pgQQgghRE0kTexdRlYbE0IIIYQrkOEEQgghhBBCdaSJFUIIIYQQqiNNrBBCCCGEUB1pYoUQQgghhOpIEyuEEEIIIVRHmlghhBBCCKE60sQKIYQQQgjVkSZWCCGEEEKojjSxQgghhBBCdaSJFUIIIYQQqiNNrBBCCCGEUB1pYoUQQgghhOpIEyuEEEIIIVRHmlghhBBCCKE60sQKIYQQQgjVkSZWCCGEEEKojjSxQgghhBBCddyruwBRM53ONzLzl3zSi8yE+miZ2sGPxn666i5LCCGEEAKQJlZU4HS+kYHfZ3My32zftvtCKf95uI40skIIIYSoEWQ4gShn5i/5Dg0swMl8MzN/ya+mioQQQgghHEkTK8pJLzJXuD3jBtuFEEIIIe40aWJFOaE+2gq3h9xguxBCCCHEnSZNrChnagc/mvg5NqxN/GwPdwkhhBBC1ATyYJcop7Gfjv88XIeZv+STUWQmRGYnEEIIIUQNc8t3YhctWkTbtm0JDg6mW7du/Pzzz3/4+q1bt9KtWzeCg4Np164dixcvvu1Mcec09tPxUbfafNNHz0fdaksDK4QQQoga5Zaa2C+//JIpU6bwwgsvsHnzZmJiYhg2bBhnz56t8PWnTp1i+PDhxMTEsHnzZv7617/y0ksv8fXXX1c6UwghhBBCiDK31MTOmzePUaNGMWbMGFq2bEliYiLBwcEV3l0FWLJkCSEhISQmJtKyZUvGjBnDyJEjef/99yudKYQQQgghRJmbNrGlpaXs27ePHj16OGzv0aMHO3bsqPBrdu7cWe71cXFx7N27F6PRWKlMIYQQQgghyty0ic3OzsZsNqPX6x226/V6srKyKvyarKysCl9vMpnIzs6uVKYQQgghhBBlbnl2Ao1G4/C51Wott+1mry/bfu3/O5MJkJqaWuH/VxUlMtWWK7WqK1dqlVqVypVa1ZWrllojIiKqNE+4rps2sXXq1EGr1Za7Q2owGMrdSS1Tr169Cl/v7u5O7dq1sVqtTmeWKfvLn5qaWuU/CEpkqi1XalVXrtQqtSqVK7WqK1dNtQpRVW46nMDDw4P27duTkpLisD0lJYVOnTpV+DUxMTFs3Lix3OujoqLQ6XSVyhRCCCGEEKLMLc1OMGnSJD777DOWLVvGkSNHePnll8nIyCA+Ph6ACRMmMGHCBPvr4+PjOX/+PFOmTOHIkSMsW7aMzz77jGefffaWM4UQQgghhLiRWxoTO3jwYHJyckhMTCQzM5NWrVqxcuVKGjVqBMC5c+ccXh8eHs7KlSt59dVXWbx4MSEhIcyePZtHH330ljOFEEIIIYS4EU1eXp61uosQQgghhBDCGbe87KwQQgghhBA1hTSxQgghhBBCdaSJFUIIIYQQqiNNrBBCCCGEUB1pYoUQQgghhOpIEyuEEEIIIVTnluaJvVtZrVY2btzIjh07yMrKQqPRoNfriY2NpVu3bmg0mhqRCVBYWMjq1asrzB0yZAi+vr6VygU4fvx4udxOnTrRrFmzGpWp1LF19VqVylXTMZBa1XU9VFOtSly7lXw/EEJNXHae2PPnzzNixAh+++03WrZsiV6vx2q1YjAYOHLkCPfeey+ff/459evXr9ZMgMOHDzNo0CAKCgro0qWLQ+62bduoVasWX375JZGRkU7lXrx4kT//+c989913+Pr6UrduXaxWK9nZ2RQVFdG7d28WLFiAv79/tWaCMsdWapVjILUqlyu1KnPtVur9QAg1ctkmduTIkeTn5/Phhx/SoEEDh31paWn8+c9/xs/Pj88++6xaMwEeeeQR9Ho9H3zwAV5eXg77iouLeeaZZ8jKyuLbb791KnfChAkcOHCAuXPnEhsb67Bvx44dPP/887Rt25YFCxZUayYoc2ylVjkGUqtyuVKrMtdupd4PhFAjl21iGzRoQHJyMm3btq1w//79++nbty9paWnVmgkQGhpKSkrKDf9l/fvvvxMXF0d6erpTuY0aNeLLL78kOjq6wv07d+5k6NChnDlzplozQZljK7XKMZBalcuVWpW5div1fiCEGrnsg11eXl7k5ubecH9eXl65f+VWRyZAYGAgx44du+H+48ePExgY6HTuzbi5Vf1fj8pmKnVs/4gr1KpUrpqOgdSqruuhmmpV4tpdXe8HQtRE2ilTprxZ3UVUh3PnzjF37lxCQkIICQnB29sbgJycHJKSkvjb3/7GwIEDeeihh6o1EyA/P5/p06cD4O3tjdlspqCggOPHj/P5558zbdo0xo8fT9euXZ3KPXToEEuXLqVt27blfoW2a9cu/vKXv/CnP/2J/v37V2smKHNspVY5BlKrcrlSqzLXbqXeD4RQI5cdTlBaWsqUKVNYvnw5JpMJrVYLgNlsxt3dnSeeeIJZs2bh4eFRrZll/vnPf7JgwQIyMzPtT8larVaCg4OZOHEi//M//+N0Zl5eHgkJCWzYsAE/Pz/q1KmDRqPBYDBQUFBAXFwcH330kVP/qlciE5Q5tlKrHAOpVblcqdVGiWu3EplCqJHLNrFlLl26xL59+8jKygKgXr16tG/f3umnhpXOLHPq1CmH3PDw8NvOPHr0KDt37nTIjYmJoUWLFjUqE5Q5tlKrHAOpVblcqdVGiWu3EplCqInLN7FCCCGEEEJ9XPbBLgCLxcKhQ4cqfIqzuLiYzz//vEZkgu3Xk99//z07duzAanX8d0dhYSGzZ8+uVC5AQUEBFoul3Haj0chPP/1UYzKVOrauXqtSuWo6BlKruq6HaqpViWu3ku8HQqiJyzax586d409/+hNdunShdevWjB49mry8PPv+S5cuMWnSpGrPBNtDIp06dWLUqFH07t2bBx980GFqnspetHJzcxkyZAiNGzemYcOGvPLKK5SWljrsd/bBEyUyQZljK7XKMZBalcuVWpW5div1fiCEGrlsEzt9+nQCAwPZvn0733//PQaDgb59+2IwGGpUZlnufffdx5kzZzh06BDh4eH07t2b48eP31buzJkzOX/+PCtWrOC9995j/fr1DB06lKKiIvtrrv9XfnVkgjLHVmqVYyC1KpcrtSpz7Vbq/UAINXLZMbGRkZF8/vnnREVFAbZf7z399NMcOnSIb7/9FqvVSmRkJDk5OdWaCdC8eXO++eYbWrVqZd/26quv8tVXX/HNN9/g7+9fqdw2bdqwcOFCunTpAth+RTVy5Ejc3NxYtWoVBQUFTucqkQnKHFupVY6B1KpcrtSqzLVbqfcDIdTIZe/E5ufnOzxxqtPp+Pjjj4mMjKRfv35kZGTUiEywTf9SNo1KmbfeeouBAwfSr18/jhw5Uqnc7Oxsh7XAAwMDWbNmDRaLhSFDhlBYWFgjMkGZYyu1yjGQWpXLlVqVuXYr9X4ghBq5bBMbHh7Or7/+6rBNq9WyePFiWrZsyciRI2tEJtj+5b13795y22fNmsXAgQMZPXp0pXLDwsLKXfB8fHxYvXo1QKVylcgEZY6t1CrHQGpVLldqVebardT7gRBq5LJNbM+ePVm6dGm57VqtliVLltCuXbsakQnwyCOPsGbNmgr3zZ49m+HDh1dqfF23bt3497//XW67r68vq1atwtfXt0ZkgjLHVmqVYyC1KpcrtSpz7Vbq/UAINXLZMbFms5nCwsIbTmJtNptJS0ujUaNG1ZqppLy8PNLT0x3GVl2roKCAffv2ObV8oRKZoMyxlVrlGEityuVKrUIIpWmnTJnyZnUXUR3GjBmDRqOhQYMG9nWyr+Xm5kZAQEC1Z4Ltrs6FCxfw9/cnODjY6a+/kRkzZhAWFkaDBg3KjbEC8PDwcPqirUQmKHNspVY5BlKrcrlSqzLXbqXeD4RQI5dtYs+cOcPKlSuZOnUqGzdu5OLFi+j1eqfXMlc6E8Df358dO3Ywc+ZMlixZwunTp/Hw8CAsLKzCN8hbtW7dOt59913mzp3L4cOHAdtYPp1OV6MyQZljK7XKMZBalcuVWpW5div1fiCEGrnscIIyWVlZJCcnk5SUxKZNm2jatCn9+vWjX79+tG/fvsZkAphMJjZv3kxycjLJyckUFhbSq1cv+vbtS8+ePSs9zm7Pnj0kJSWRlJTE6dOneeCBB+jXrx99+vShbt26NSYTlDm2UqscA6lVuVypVZlrt1LvB0Koics3sdcqLCzkhx9+ICkpifXr1+Pj40Pfvn0ZN27cDce2VUdmmb1799rfIE+cOMEDDzzA888/T2xsbKUzT5w4wbp160hKSmLPnj106NCBfv36MWTIEIcpg6o7E5Q5tlKrHAOpVblcqdVGiWu3EplC1HTSxN6A2Wxm69atJCcnc8899/Dkk0/WyMwyp06dIikpiQYNGvDoo49WSWZ2djZJSUkkJyfTuXNnJk+efNuZBoPBfuegqjJBmWOrxPcP6qpVzpfUqlSu1GqjxLVbiUwhaiJpYsUdYbFYANsDElVp48aNxMTE4OPjc1s5ZrOZ7OxsNBoNtWvXRqvVVlGFNgaDgXPnzhEWFkadOnWqNFsJcr7Udb5qurLzpdVq5XgqxGKxYDabb3vctRBq4rLzxB47dsxhLr1t27YxatQoYmNjefTRR1m3bl2V/5lHjhyp1HyDDRs2ZPLkyezevbvKazp58iQfffSRfSnMa126dIlJkyY5lVdYWMhzzz1Hly5dmD59OmBbTaZBgwbUr1+fsWPHcvHixSqrf9iwYZw9e7bSX//NN9/w8MMPExoaSmRkJC1btiQ0NJSHH36Yb7/9tlKZCxcu5KeffgJsx2Ps2LG0aNGCBx98kIiICMaNG1epFZuq+lyV1SfnS5nz9UdOnjxJ//79nf66Ll26kJiYyPnz56u0HoDFixfz9NNP2+dLXblyJR06dKBNmzbMmDGjUpnff/89ffr0oX79+kRGRhIREUGjRo0YP358pf8euPq122g08uabb/Lwww/bz8vcuXOpX78+9evX5+mnn6akpKTK/jwhajKXvRNbu3Ztjhw5gl6vZ8uWLTz66KP07NmTjh07cuDAAZKTk1m1ahVxcXFV9mcePHiQbt26Ob2mdVBQEOHh4Zw6dYpWrVoxduxYhg8ffttPzm7fvp0hQ4ZQq1YtiouL8fPzY/ny5fYHGLKyspxeg/vFF19k/fr1PPbYYyQnJ9O6dWu2bNnC66+/jpubG2+99RZxcXEkJiY6VWvZGvTXO3ToEM2aNcPDwwOAn3/++ZYzlyxZwksvvcTIkSOJi4tDr9djtVoxGAz8+OOPrFixgjlz5jBmzBinar333ntZunQpHTp04OWXX2bDhg0kJibSokULjh07xiuvvELXrl2ZM2fOLWcqca5Azhcoc75u5nauBX5+fhQVFdGzZ0/Gjh1Lr169bvuO+Xvvvcfbb79Njx492LVrF0899RTz589n0qRJmM1m5s2bx/Tp04mPj7/lzBUrVvDiiy8yZswYvLy8+PTTTxk1ahRhYWGsWbOGw4cPs379epo1a+ZUra5+7Z4xYwaffvopw4YNY8OGDXTu3Jn169fzxhtvYDabmTFjBuPHj+cvf/lLpf8MIdTCZZvYoKAgjh49il6v59FHHyUiIoJ//OMf9v3Tp09nx44dJCUl3XLmze6E5ebm8t133zl9ISy7aB8/fpylS5eydu1aLBYLAwYMYMyYMTdsGG6mf//+RERE8O6771JSUsLMmTNZunQpq1evJiYmplKNUevWrVmwYAH3338/Z8+epW3btixfvpx+/foBkJKSwuTJk8st8XgzdevWpXv37kRHR9u3Wa1WEhMTGTdunP1J7ylTptxyZlRUFM8///wNx7ctW7aMd999l3379jlVa3BwMLt37yYsLIyOHTvyj3/8gwcffNC+f/v27Tz11FP89ttvt5ypxLkCOV+gzPmaPXv2H+7PyspiyZIllWqKDhw4wLZt21i2bBk//fQToaGhjB49mscff5zGjRs7lVcmJiaGF198kWHDhrF//37i4uJ499137cd62bJlLF68mI0bNzqVOWXKFAYPHgzYHjx6/PHH+fXXX9FoNIwbN47S0lKWL1/uVK2ufu1u3749b7/9Nr179+bEiRNER0ezaNEi+3H+6quvSExMdOofiEKolXt1F1ATHDlyhGnTpjlsGzFiRIXLEP6RFStWcN99991wUuz8/PxK1Vf2q7PY2FhiY2OZPXs2X3zxBcuWLaNfv340b96cJ5980umHQw4cOMA///lPADw9PZkxYwb169dn6NChrFy5kqZNmzpda05ODuHh4YBtXkx3d3eHnKZNmzr9RgC2XyNPnDjR/mZbNh/iO++8Q0JCApGRkU5npqen07lz5xvuj42NJSMjw+nckJAQTpw4QVhYGMXFxeX+PgQGBpKXl+dUphLnCuR8gTLn6+233yY8PLzCifMBiouLna6zjJeXF8OHD2f48OEcO3aMpUuX8sknn/Duu+/SrVs3xowZ4/TDPGfPnqVTp04AtGvXDq1Wy3333Wff37Vr13LXyFvJ7Nixo/3zqKgoMjMzycjIIDQ0lEmTJtkbr8pyxWt3RkYGbdq0AWw/nx4eHvbPwXacb2fIjhBq4rJjYsG2NGRubi6enp7lBsN7eHg4/UbTrFkzxowZwxdffFHhx9tvv12pOq+fwNrf35+nn36aLVu28MMPPxAbG1upX3W6ublRVFTksG3ixIm88sorDBs2jG3btjmdGRYWxvbt2wHYvXs3Go2GPXv22Pfv2bOnUtMJde7cmY0bN3Lw4EH69OlTJRfpyMhIPv744xvuX7JkSaWareHDhzNjxgxyc3N57LHHmD17tn0Ma1FREbNnz3Z62hslzhXI+QJlzlfjxo2ZOnUqP//8c4Ufn3zyidN1VqR58+bMmDGD33//nUWLFmE2mxk3bpzTOd7e3ly+fNn+ed26dcvNM2o2m53KbNSoEb/88ov987179+Lm5ka9evUA2x1Vk8nkdK3g2tduf39/h3Hq7dq1o1atWvbPjUajLHogXIZL34ktu/NgtVrZu3evw8D9Q4cOERoa6lReu3bt2L9/PyNHjqxwv0ajcXgg4Vb90dd07NiRjh07MmvWLKdzIyMj2bFjB/fee6/D9okTJ2I2m3n66aedzoyPj+fZZ59l6dKlHDx4kLfeeosZM2Zw6NAhtFotn3zyCc8++6zTuWC7I/bpp5+yaNEievbsyYwZM27rYj1z5kxGjBjBDz/8wIMPPki9evXQaDRkZmayadMmzp8/tesS5AAAEt1JREFUz8qVK53Ofemllzh8+DDt27enQ4cObNu2jRYtWhAaGkpGRgZBQUF8/fXXTmUqca5Azhcoc77KrgVDhgypcH9lrwU3otPpGDRoEIMGDeLUqVNOf31ERAS///47LVu2BCg3dCI1NZWwsDCnMhMSEnjuuefYvXs3Xl5eLF++nBEjRthnkti1a5fT42HLuPK1u2XLlhw4cIDWrVsDtofnrvX777/TpEkTp2sVQo1cdkzs1q1bHT4PCQmhefPm9s8/+OADjEYjzz333C1nZmZmUlJSUqk10f/IM888w+zZs/Hz86vS3GXLlrF161YWLlxY4f5//etfLFq0iAMHDjiVu2rVKnbu3Ennzp0ZPHgwW7du5e9//zuXL1+md+/evPTSS7f9IMpvv/1GQkIChw8fZtu2bZW6Awdw+vRpFi9ezK5du8jKygKgXr16xMTEEB8fX+kxhgA//vgjSUlJnDp1CovFQnBwMLGxsQwdOtTp1XSUOlcg56tMVZ6vw4cPc/nyZaKioircbzQaSU9Pd/pa8cgjj7B8+fLbfqjzej/99BO+vr43XJVq4cKFmM1mJk6c6FTuxx9/zMqVKykpKSEuLo4XX3wRLy8vAI4fP47ZbKZFixZOZbr6tfvIkSN4eHjcsFH94osvcHd3v+E/oIS4m7hsEyvUr7S0lIyMDOrXr4+7u0v/UkEV5HwJIYSoStLECgDOnDlDVlYWGo0GvV5fJXcklMgUyh1XOV/KkPOlHgUFBezbt8/huLZv395hzGlNyq2IyWQiPT3d6eEfQqiR3A65gcrOC7hmzRrWrl1LYGAg8fHxDr+ey87OpkePHuzfv9/pepTKnTdvHvPnzyc9Pd0+fkuj0difHn7mmWdqRObNuML5Uuq4yvmS83UzlT1fSmVW9fkymUy89tprLFu2jOLiYvu4XbPZjJeXF2PGjGHGjBlOr4ZlNBqZOnVqlef+kUOHDlX5uRKipnLp2QluxtmB/MuXL2fChAm4ubmRlpZGr169HJ5CNpvNlXpKW6ncOXPm8PbbbxMfH8+GDRs4ePAgBw4cYMOGDYwbN463337b6Unulci8VXfz+VLquMr5kvN1q6ryQbTbyVTifL322musXbuW//u//+PYsWMYDAYMBgPHjh3jX//6F2vXrnV6ijGAqVOnKpIrhLBx2TuxN1vysbCw0OknqT/44APmzJljn+Lmu+++Y/z48ZSUlDBhwoRK16pU7tKlS5k/f365YxEWFkZUVBQRERG8/PLLvPjii9WaCXK+lDqucr7kfIEy50uJTFDmfK1evZrFixfTrVs3h+116tRh2LBh6PV6nnrqKaen2lIi92bL3xqNRqdqFELNXLaJ3b59u30N9ork5OQ4vfLPyZMnHZY67N27NytXrmT48OGYzWaGDh1aqVqVys3JyfnDJ4MjIiKcnuRdiUyQ86XUcZXzJecLlDlfSmSCMueruLiY2rVr33B/7dq1K7VAhRK5mZmZPPbYYzecniw9PZ0FCxY4lSmEWrlsE9uiRQt69ep1wyUsDxw4wFdffeVUpr+/P5mZmQ7T/MTGxvLFF18wfPhwMjMzK1WrUrkdOnRgzpw5fPDBB/a17MuUlpbyzjvv0KFDh2rPBDlfSh1XOV9yvkCZ86VEJihzvrp27cqrr77KwoULyzXd6enpTJs2jfvvv79G5LZq1YrWrVvfcG7ogwcPShMrXIbLNrFlk1vfiKenJw0bNnQqs0OHDvz3v/8lJibGYXvnzp1ZsWIFw4cPr1StSuXOmTOHwYMH07x5czp37uwwefy2bdvw8fFx+k1GiUyQ86XUcZXzJecLlDlfSmSCMufrnXfeYfjw4bRp04aWLVui1+vRaDRkZWVx5MgRIiMjK7WQhhK5nTp14tixYzfcX6tWLbp06eJ0rUKokctOsVVSUoLZbMbHx6fKMrdu3crOnTv561//WuH+LVu28PnnnzN//vwakQu2NcFXrlxZ4eTxQ4cOxd/fv0ZkyvlS5rgqlSvnS86XEpmg3PmyWCxs2LChwuPao0ePSi/4oVSuEMKFm9jffvvNvmxfTc5UW67UKrUqlSu1qitXTbUmJyfTo0cPPD09a3yuUrUKoUbaKVOmvFndRVSH6OhoPvnkE86cOYOnpydhYWG3ta67Upl3KtfLy4uGDRtW6TGoqszrc13xfN2J4yrnS86Xq56v0aNHM3PmTH755ReKi4sJCwvD29v7tmtVIvf6zIYNG1ZJrUKokcveiTUajWzevJnk5GSSk5O5fPkyvXr1om/fvvTs2bNSvwJTIlNtuVKr1KpUrtSqrlw11QqQmppKcnIy69atY+/evURHR9O3b18eeeQRwsPDK5WpVK5StQqhNi7bxF7vl19+ISkpiaSkJE6ePMkDDzxAv3796NOnD3q9vsZkqi1XapValcqVWtWVq6ZaL1y4YG8SN2/eTJMmTejbty/9+vUjKiqq0rUqkatUrUKogTSxFTh58iRJSUmsW7eO3bt38/e///2G05lUZ6bacqVWqVWpXKlVXblqqrWoqIgNGzawbt061q9fz6RJk3jhhRduu1YlcpWqVYiaSprYm8jJySE3N/eGE0vXlEy15UqtUqtSuVKrunLVVKvFYiEnJ4e6detWWaZSuUrVKkRN4tJNrNls5tSpUzRq1AidTkdxcTFr166lpKSE3r17V+pXUUpkKplbkT59+rBgwQKHycRrYqZSuWqp9cCBA5w4cYLg4GBiY2Or5KEZteXW1Fpzc3Nxd3fHz88PsD1Rv2TJEs6ePUujRo2Ij4/nnnvucbouNeWqqdb33nuPgQMHEhYW5nQ9dzpXqVqFUCOXbWKPHj3KoEGDOH/+PI0aNeLrr7/mySef5Pjx41itVjw9Pfnvf/9L8+bNqzVTydy1a9dWuD0+Pp6///3v1K9fH4ABAwZUa6bUCgkJCcydOxc/Pz8KCgp48sknSUlJQavVYjabad++PV999RWBgYFO1aqmXDXV2rt3b5599lkeeeQRNm3axJAhQ+jYsSMtWrTg2LFj7Nmzh9WrV/PAAw84VauactVUa1BQEG5ubnTv3p2xY8fSt29ftFqtU3XdqVylahVCjVy2iR01ahRWq5WpU6eyfPlyfvzxR5o1a8bSpUuxWCyMGTMGf39/Fi5cWK2ZSuYGBQWh0WiwWm/8V0Cj0ZCTk1OtmVKrbY31I0eOoNfrmTZtGmvXrmXJkiVERUXx66+/kpCQQFxcHG+99ZZTtaopV021hoWFsWnTJpo2bUqfPn3o0qUL06ZNs+9/5513SE5O5ocffnCqVjXlqqnWoKAg3nnnHdauXcvmzZupW7cuo0eP5oknnqBp06ZO1ad0rlK1CqFGLrtUyM6dO3nllVdo3bo1U6dO5ejRo0yePBmdToenpyfPP/88P//8c7VnKpnbo0cPHnroIY4dO0Zubq79Q6vVsm3bNnJzc51u4JTIlFpxaIh/+OEH3nzzTTp06IBGo+Hee+9lxowZfP/9907XqqZctdVqNBoBOH78OAMHDnTYP3jwYA4fPlypWtWSq6ZaAfr3789//vMffvnlFx5//HFWrFhBdHQ0/fv3Z82aNZSWljqdqVSuUrUKoTYu28QWFhYSFBQEgK+vL76+voSEhNj3N2jQgAsXLlR7ppK5a9asoWvXrnTr1o0NGzY4/fV3KlOpXDXVCtjHZWZlZREZGemwLzIykrS0tLs+Vy213nfffSQlJQHQrFkzDh486LD/wIED9p/puzVXTbVeKzw8nNdff51ff/2VpUuX4u3tzfjx42nVqlWlM5XKVapWIdTCvboLqC4hISGkpaXZB8dPnz7d4SlOg8FAQEBAtWcqmQswefJkunbtSkJCAg899BD/+7//W6kcpTOVylVTrdOnT8fb2xuNRkNGRobDG1VOTg6+vr53fa5aap06dSqDBw+mqKiIwYMHM23aNE6cOEHLli1JTU3lww8/5G9/+5vTdaopV021VvTgnlarpX///vTv35+zZ8+yfPlyp2tVIlepWoVQI5dtYh944AGOHDlCbGwsAE899ZTD/k2bNtGuXbtqz1Qyt0xUVBQbN27khRdeoHv37n84lrM6M5XKVUOtXbp04eTJk4DtzuDZs2cd9q9fv77cHcS7LVdNtXbs2JE1a9bw2muvsXPnTsA2VhMgNDSUKVOmMHHiRKdrVVOummq92c9mWFgYr7zyitO1KpGrVK1CqJHLPth1MydPnsTDw4MGDRrU6Myqzv3iiy/YvHkz06ZNcxiyUNMylcpVU63XOnXqFDqdrsr/bqkpt6bWajAYOHXqFBaLheDg4CqbYk1NuTW91jNnztCwYUPc3Kp2hJ0SuUrVKoQauXQTm5aWxuLFi9mxYwdZWVloNBr0ej2xsbGMHTuWhg0b1ojM6sjt1KkT8fHxVXoMbidTar17/m65ys+XmmpVKldqVVetQqiNyzax27ZtY9iwYQQHB9OjRw/0ej1WqxWDwUBKSgqZmZmsWrXK/iv86spUW67UKrXKMVBXrXIMpFYh1Mplm9ju3bsTExPDnDlzKtz/8ssvs3PnTlJSUqo1U225UqvUqlSu1KquXKlVXbUKoUYu28SGhISwZcsWIiIiKtx/9OhRHnjgATIyMqo1U225UqvUqlSu1KquXKlVXbUKoUYuOzI8ODiY7du333D/9u3bCQ4OrvZMteVKrVKrUrlSq7pypVZ11SqEGmmnTJnyZnUXUR10Oh0vvfQS6enplJSUkJubS1paGnv27OHDDz/k3Xff5bXXXiMqKqpaM9WWK7VKrXIM1FWrHAOpVQi1ctnhBABffvkl8+fPZ9++fZjNZsA2aXT79u2ZNGkSgwYNqhGZasuVWqVWpXKlVnXlSq3qqlUItXHpJraM0WgkOzsbgDp16qDT6WpkptpypVapValcqVVduVKrumoVQi2kiRVCCCGEEKrjsg92CSGEEEII9ZImVgghhBBCqI40sUIIRf373/8mMDCQ06dPV3cpQggh7iLSxAohaqTvvvuOWbNmVXcZQgghaihpYoUQNdL333/P7Nmzq7sMIYQQNZQ0sUIIIYQQQnWkiRVCVJldu3bRq1cvgoODadOmDXPnzsVqdZzFLykpiREjRtCqVSvq1atHmzZteOONNygpKbG/ZuLEiSxZsgSAwMBA+8e142rXrFlDXFwcoaGhNGrUiBEjRnD48OE7840KIYSodu7VXYAQ4u5w+PBhBg4ciJ+fH3/729/w8PDgk08+wdfX1+F1y5cvR6vVMn78eAIDA9mxYwfvvfceaWlpLFq0CID4+HjS0tLYvHkzH374of1r69atC8A///lP3nzzTfr3789jjz1GYWEhixYt4uGHH2bTpk2Eh4ffse9bCCFE9ZDFDoQQVeKJJ57gu+++Y+fOnTRp0gQAg8FAhw4duHTpEvv376dx48YUFRXh4+Pj8LWJiYm89dZb/PrrrzRo0ACA559/niVLlpCXl+fw2rNnzxIVFcULL7zAK6+8Yt+ekZFBTEwMAwYM4P3331f4uxVCCFHdZDiBEOK2mc1mNmzYQO/eve0NLNjunA4fPtzhtWUNrMVi4eLFi2RnZ9OlSxesViv79++/6Z/1zTffYDKZGDJkCNnZ2fYPnU5HdHQ0mzdvrtpvTgghRI0kwwmEELfNYDBQVFREREREuX3Nmzd3+PzQoUO8/vrrbN26lcuXLzvsu3jx4k3/rOPHjwMQExNT4f7r7/IKIYS4O0kTK4S4bWUPb2k0mhvuA1uT2r9/f7y9vZk2bRpNmjTB29ub8+fP88wzz2CxWG76Z5W9ZvXq1bi7l7+EubnJL5iEEMIVSBMrhLhter0eHx8fjh49Wm5f2Z1TgC1btmAwGPj222/p2rWrfXtKSkq5r6uoIQbswxUaNmxIZGTk7ZYuhBBCpeSWhRDitmm1Wnr06MF3333HyZMn7dsNBgOrVq1yeB043p21WCzMmzevXGbZsIDrH+waMGAA7u7uzJo1q8I7twaD4fa+GSGEEKogd2KFEFXi1Vdf5ccff6RPnz4kJCSg0+n45JNPCAsLs491jY2NpXbt2kycOJEJEybg7u7O2rVrKSgoKJcXFRUFwIsvvkjPnj1xd3end+/ehIeHM336dF577TV69uxJ//79CQoK4uzZs6xfv57o6Gjmzp17R793IYQQd55MsSWEqDI7duxg6tSpHDhwAL1ez1NPPYVer+fZZ5+1T7G1e/du+2t8fX0ZMGAA48aN409/+hPz5s1j9OjRgG3Gg1dffZWvvvqKCxcu2GcvaNy4MWBblva9995j//79mEwmQkNDiY2NJSEhgQ4dOlTnYRBCCHEHSBMrhBBCCCFUR8bECiGEEEII1ZEmVgghhBBCqI40sUIIIYQQQnWkiRVCCCGEEKojTawQQgghhFAdaWKFEEIIIYTqSBMrhBBCCCFUR5pYIYQQQgihOtLECiGEEEII1ZEmVgghhBBCqM7/A7Vy3DK2YvjnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_model_rate_trend(country_recent, 'arate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_model_rate_trend(country_recent.tail(14), 'arate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "proj_trend(country_recent, country, start=7, end=0, dist=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "deaths.extract(country).oplot(xlab=25)\n",
    "label_val(deaths, last_day, country)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}