{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Student Alcohol Cunsumption\n",
    "## by Nuttaphat Arunoprayoch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Student life is messy and stressful, eventually it might lead to depression. However, we all know that cracking open a cold one with your lads always helps. In this analysis, I, for no particular reasons, would like to welcome you all to dive into Alcohol Consumption by students. Enjoy :)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset is provided and maintained by UCI. The data were obtained in a survey of students math secondary school."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data Manipulation\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import pandas_profiling\n",
    "\n",
    "# Data Visualization\n",
    "%matplotlib inline\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from pywaffle import Waffle\n",
    "\n",
    "mpl.style.use(['ggplot']) # optional: for ggplot-like style\n",
    "sns.set(rc={'figure.figsize':(11.7,8.27)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Hide Warning\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>Mjob</th>\n",
       "      <th>Fjob</th>\n",
       "      <th>...</th>\n",
       "      <th>famrel</th>\n",
       "      <th>freetime</th>\n",
       "      <th>goout</th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>18</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>at_home</td>\n",
       "      <td>teacher</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GP</td>\n",
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       "      <td>17</td>\n",
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       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
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       "      <td>...</td>\n",
       "      <td>5</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GP</td>\n",
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       "      <td>15</td>\n",
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       "      <td>LE3</td>\n",
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       "      <td>2</td>\n",
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       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
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       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
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       "      <td>U</td>\n",
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       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
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       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob  ...  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher  ...   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other  ...   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other  ...   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services  ...   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other  ...   \n",
       "\n",
       "  famrel freetime  goout  Dalc  Walc health absences  G1  G2  G3  \n",
       "0      4        3      4     1     1      3        6   5   6   6  \n",
       "1      5        3      3     1     1      3        4   5   5   6  \n",
       "2      4        3      2     2     3      3       10   7   8  10  \n",
       "3      3        2      2     1     1      5        2  15  14  15  \n",
       "4      4        3      2     1     2      5        4   6  10  10  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dalc - workday alcohol consumption (numeric: from 1 - very low to 5 - very high)\n",
    "# Walc - weekend alcohol consumption (numeric: from 1 - very low to 5 - very high)\n",
    "\n",
    "df = pd.read_csv('student-mat.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
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       "        <p class=\"h4\">Dataset info</p>\n",
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       "                <td>33 </td>\n",
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       "            <tr>\n",
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       "                <td>395 </td>\n",
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       "        <ul class=\"list-unstyled\"><li><a href=\"#pp_var_G2\"><code>G2</code></a> has 13 / 3.3% zeros <span class=\"label label-info\">Zeros</span></li><li><a href=\"#pp_var_G3\"><code>G3</code></a> is highly correlated with <a href=\"#pp_var_G2\"><code>G2</code></a> (ρ = 0.90487) <span class=\"label label-primary\">Rejected</span></li><li><a href=\"#pp_var_absences\"><code>absences</code></a> has 115 / 29.1% zeros <span class=\"label label-info\">Zeros</span></li><li><a href=\"#pp_var_failures\"><code>failures</code></a> has 312 / 79.0% zeros <span class=\"label label-info\">Zeros</span></li> </ul>\n",
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       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Dalc\">Dalc<br/>\n",
       "            <small>Numeric</small>\n",
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       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>5</td>\n",
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       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.3%</td>\n",
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       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
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       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
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       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
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       "                    <th>Infinite (n)</th>\n",
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       "                    <td>1.481</td>\n",
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       "                    <td>1</td>\n",
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       "                    <td>0.0%</td>\n",
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       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-3698741289240508702\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAbZJREFUeJzt3bGt01AYhuHfEa09QGRvwRDsRM1ODMEWtjKAIwoKYgoIzb36IBI6jrnPUybS%2BZ3Ir3wSF%2B62bduqsWVZapqm1mM5uHmeaxzHpjPfNZ32S9/3VfXzAw/DsMchcCDrutY0Tb/Pm5Z2CaTruqqqGobhRSDvP35%2BeL0vnz78k%2BPiud3Pm5ZOzSfCgQgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEOzyhKln4ElW/A1XEAgEAoFAIBAIBAKBQCAQCASCN3sf5Fm5P/NcXEEgEAgEtlhvUKtt3P%2BwXdwlkG3bqqpqXdcX733/9vXh9V5b509azXlUi%2BM62nd8f%2B1%2B3rTUbTtMXZalpmlqPZaDm%2Be5xnFsOnOXQG63W10ul%2Br7vrquaz2eg9m2ra7Xa53P5zqd2v5s3iUQOAr/YkEgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQ/ADZDmaivOPwmQAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-3698741289240508702,#minihistogram-3698741289240508702\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-3698741289240508702\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-3698741289240508702\"\n",
       "                                                  aria-controls=\"quantiles-3698741289240508702\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-3698741289240508702\" aria-controls=\"histogram-3698741289240508702\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-3698741289240508702\" aria-controls=\"common-3698741289240508702\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-3698741289240508702\" aria-controls=\"extreme-3698741289240508702\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-3698741289240508702\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.89074</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.60144</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>4.7595</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>1.481</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.6722</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>2.1908</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>585</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.79342</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-3698741289240508702\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X10VPWdx/HPmCcemowESCZpIpuyAcEgRx6WJKAg2AAKrmX3CI2mwVrUykNjYFkiZ7fxVAnrsy4rq7QCIhbqIpYeNSVWCNAQJDGRh7JIBTWWhEAbJiGF4cG7f3SZ45Bn/CVzZ/J%2BnXPPyb33d2%2B%2B3/z0zIff3EwclmVZAgAAgDHX%2BLsAAACAYEPAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDQv1dQHfw1Vdf6fjx44qMjJTD4fB3OQAAdAuWZamhoUHx8fG65pquXVMiYHWB48ePKzEx0d9lAADQLVVVVSkhIaFLvycBqwtERkZK%2BtsER0VF%2BbkaAAC6h/r6eiUmJnpfh7sSAasLXH5bMCoqioAFAEAX88fjOTzkDgAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADD%2BGPPAW7U0kJ/l9BuZU9M8XcJAAB0CVawAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAw4I6YBUUFGj06NGKjIxUTEyM7rrrLh0%2BfNhnzIQJE%2BRwOHy2WbNm%2BYypq6tTVlaWnE6nnE6nsrKydPr06a5sBQAABJCgDljFxcWaO3euSktLVVRUpIsXLyojI0ONjY0%2B4%2BbMmaPq6mrv9vLLL/ucz8zMVGVlpQoLC1VYWKjKykplZWV1ZSsAACCAhPq7gM5UWFjos7969WrFxMSovLxct9xyi/d4r1695HK5mr3HoUOHVFhYqNLSUo0ZM0aStGrVKqWlpenw4cMaPHhw5zUAAAACUlCvYF3J7XZLkqKjo32Or1%2B/Xv369dMNN9ygRYsWqaGhwXtu9%2B7dcjqd3nAlSampqXI6nSopKemawgEAQEAJ6hWsr7MsS7m5uRo3bpxSUlK8x%2B%2B55x4lJSXJ5XLpwIEDysvL08cff6yioiJJUk1NjWJiYprcLyYmRjU1Nc1%2BL4/HI4/H492vr6833A0AALCzbhOw5s2bp3379mnXrl0%2Bx%2BfMmeP9OiUlRcnJyRo1apQ%2B%2BugjjRgxQpLkcDia3M%2ByrGaPS397uP6xxx4zWD0AAAgk3eItwvnz52vLli3atm2bEhISWh07YsQIhYWF6ciRI5Ikl8ulEydONBl38uRJxcbGNnuPvLw8ud1u71ZVVfXNmwAAAAEjqAOWZVmaN2%2Be3nrrLX3wwQdKSkpq85qDBw/qwoULiouLkySlpaXJ7Xbrww8/9I7Zs2eP3G630tPTm71HRESEoqKifDYAANB9BPVbhHPnztUbb7yhX//614qMjPQ%2BM%2BV0OtWzZ099%2BumnWr9%2BvW6//Xb169dPf/jDH7Rw4ULddNNNGjt2rCRpyJAhmjJliubMmeP9%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%2Be7shUAABBAgjpgFRcXa%2B7cuSotLVVRUZEuXryojIwMNTY2esfk5ORo8%2BbN2rBhg3bt2qUzZ85o2rRpunTpkiTp0qVLuuOOO9TY2Khdu3Zpw4YN2rRpkxYuXOivtgAAgM05LMuy/F1EVzl58qRiYmJUXFysW265RW63W/3799e6des0c%2BZMSdLx48eVmJiod999V5MnT9Z7772nadOmqaqqSvHx8ZKkDRs2aPbs2aqtrVVUVFSb37e%2Bvl5Op1Nut7td4zti1NJCo/frTGVPTPF3CQCAbqQzX3/bEtQrWFdyu92SpOjoaElSeXm5Lly4oIyMDO%2BY%2BPh4paSkqKSkRJK0e/dupaSkeMOVJE2ePFkej0fl5eXNfh%2BPx6P6%2BnqfDQAAdB/dJmBZlqXc3FyNGzdOKSkpkqSamhqFh4erT58%2BPmNjY2NVU1PjHRMbG%2Btzvk%2BfPgoPD/eOuVJBQYGcTqd3S0xM7ISOAACAXXWbgDVv3jzt27dPv/zlL9sca1mWHA6Hd//rX7c05uvy8vLkdru9W1VV1dUXDgAAAk63CFjz58/Xli1btG3bNiUkJHiPu1wunT9/XnV1dT7ja2trvatWLperyUpVXV2dLly40GRl67KIiAhFRUX5bAAAoPsI6oBlWZbmzZunt956Sx988IGSkpJ8zo8cOVJhYWEqKiryHquurtaBAweUnp4uSUpLS9OBAwdUXV3tHbN161ZFRERo5MiRXdMIAAAIKKH%2BLqAzzZ07V2%2B88YZ%2B/etfKzIy0rsS5XQ61bNnTzmdTt1///1auHCh%2Bvbtq%2BjoaC1atEjDhg3TbbfdJknKyMjQ0KFDlZWVpaeeekp/%2BctftGjRIs2ZM4eVKQAA0KygDlgrV66UJE2YMMHn%2BOrVqzV79mxJ0nPPPafQ0FDdfffdOnv2rCZNmqQ1a9YoJCREkhQSEqJ33nlHDz/8sMaOHauePXsqMzNTTz/9dFe2AgAAAki3%2Bhwsf%2BFzsP6Gz8ECAHQlPgcLAAAgiBCwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwzLYB6/XXX9e5c%2Bf8XQYAAECH2TZg5ebmyuVy6cEHH9SHH37o73IAAADazbYB6/jx43r11VdVXV2tcePG6YYbbtAzzzyjkydP%2Brs0AACAVtk2YIWGhmrGjBnasmWLvvjiC2VnZ%2BvVV19VQkKCZsyYoXfeeUeWZfm7TAAAgCZsG7C%2BzuVyadKkSZowYYIcDofKysqUmZmp5ORk7dy509/lAQAA%2BLB1wDp16pSef/55DR8%2BXGPHjlVtba3efvttff755/rTn/6kadOm6Qc/%2BIG/ywQAAPAR6u8CWvK9731P7777rpKSkvSjH/1I2dnZ6t%2B/v/f8t771LS1evFgvvviiH6sEAABoyrYBKyoqSu%2B//75uvvnmFsfExcXpyJEjXVgVAABA22wbsNauXdvmGIfDoYEDB3ZBNQAAAO1n22ewHnnkEa1YsaLJ8f/6r//SwoUL/VARAABA%2B9g2YL355ptKTU1tcjwtLU0bN270Q0UAAADtY9uAderUKfXp06fJ8aioKJ06dcoPFQEAALSPbQPWwIED9dvf/rbJ8d/%2B9rdKSkryQ0UAAADtY9uH3HNycpSTk6M///nPmjhxoiTpd7/7nZ588kk9/fTTfq4OAACgZbYNWHPmzNG5c%2Be0bNky/fSnP5UkJSQk6MUXX9QPf/hDP1cHAADQMtsGLEmaP3%2B%2B5s%2Bfr%2BrqavXs2VPXXnutv0sCAABok60D1mVxcXH%2BLgEAAKDdbPuQ%2B8mTJ3XffffpuuuuU48ePRQeHu6zAQAA2JVtV7Bmz56tTz/9VP/yL/%2BiuLg4ORwOf5cEAADQLrYNWDt27NCOHTt00003%2BbsUAACADrHtW4QJCQmsWgEAgIBk24D13HPPKS8vT19%2B%2BaW/SwEAAOgQ275FmJWVpYaGBg0YMEBRUVEKCwvzOV9bW%2BunygAAAFpn24C1fPlyf5cAAABwVWwbsO6///5vfI8dO3boqaeeUnl5uaqrq7V582bddddd3vOzZ8/W2rVrfa4ZM2aMSktLvfsej0eLFi3SL3/5S509e1aTJk3SSy%2B9pISEhG9cHwAACE62fQZLkj777DPl5%2BcrKyvL%2B5bg1q1bdejQoXZd39jYqOHDh2vFihUtjpkyZYqqq6u927vvvutzPicnR5s3b9aGDRu0a9cunTlzRtOmTdOlS5euvjEAABDUbLuCtXPnTk2ZMkX/8A//oJKSEj322GOKiYnRRx99pFWrVunNN99s8x5Tp07V1KlTWx0TEREhl8vV7Dm3261f/OIXWrdunW677TZJ0uuvv67ExES9//77mjx5cscbAwAAQc%2B2K1j/%2Bq//qvz8fG3bts3nk9snTpzo8xbeN7V9%2B3bFxMRo0KBBmjNnjs/D8%2BXl5bpw4YIyMjK8x%2BLj45WSkqKSkpIW7%2BnxeFRfX%2B%2BzAQCA7sO2AWvfvn3653/%2B5ybHY2JidPLkSSPfY%2BrUqVq/fr0%2B%2BOADPfPMM9q7d68mTpwoj8cjSaqpqVF4eLj69Onjc11sbKxqampavG9BQYGcTqd3S0xMNFIvAAAIDLYNWNdee22zIaayslLf/va3jXyPmTNn6o477lBKSoqmT5%2Bu9957T5988oneeeedVq%2BzLKvVD0HNy8uT2%2B32blVVVUbqBQAAgcG2AWvWrFlasmSJTp486Q0ze/bs0aJFi3Tvvfd2yveMi4vTgAEDdOTIEUmSy%2BXS%2BfPnVVdX5zOutrZWsbGxLd4nIiJCUVFRPhsAAOg%2BbBuwli1bJpfLpbi4OJ05c0ZDhw5Venq6Ro8erX/7t3/rlO/55z//WVVVVYqLi5MkjRw5UmFhYSoqKvKOqa6u1oEDB5Sent4pNQAAgMBn298iDA8P18aNG/XJJ5/oo48%2B0ldffaURI0bo%2Buuvb/c9zpw5oz/%2B8Y/e/WPHjqmyslLR0dGKjo5Wfn6%2B/umf/klxcXH67LPP9Oijj6pfv3763ve%2BJ0lyOp26//77tXDhQvXt21fR0dFatGiRhg0b5v2tQgAAgCvZNmBdNmjQIA0aNOiqri0rK9Ott97q3c/NzZUkZWdna%2BXKldq/f79ee%2B01nT59WnFxcbr11lu1ceNGRUZGeq957rnnFBoaqrvvvtv7QaNr1qxRSEjIN2sMAAAELYdlWZa/i2jOAw880Or5V155pYsq%2Bebq6%2BvldDrldruNP481ammh0ft1prInpvi7BABAN9KZr79tse0KVnV1tc/%2BhQsXdPDgQTU0NOiWW27xU1UAAABts23A%2Bs1vftPk2MWLF/XjH/9YQ4YM8UNFAAAA7WPb3yJsTmhoqBYtWqSnnnrK36UAAAC0KKACliQdPXpUFy5c8HcZAAAALbLtW4SLFy/22bcsS9XV1dqyZYvuueceP1UFAADQNtsGrN27d/vsX3PNNerfv7%2BWL1%2BuOXPm%2BKkqAACAttk2YO3cudPfJQAAAFyVgHsGCwAAwO5su4I1evRo7x95bsuHH37YydUAAAC0n20D1q233qqXX35ZgwYNUlpamiSptLRUhw8f1oMPPqiIiAg/VwgAANA82was06dPa%2B7cuVq2bJnP8aVLl%2BrEiRP6%2Bc9/7qfKAAAAWmfbZ7B%2B9atf6b777mtyfPbs2XrzzTf9UBEAAED72DZgRUREqKSkpMnxkpIS3h4EAAC2Ztu3CBcsWKCHHnpIFRUVSk1NlfS3Z7BWrVqlRx991M/VAQAAtMy2AWvp0qVKSkrSCy%2B8oFdffVWSNGTIEK1atUqZmZl%2Brg4AAKBltg1YkpSZmUmYAgAAAce2z2BJUn19vdasWaN///d/V11dnSTp448/VnV1tZ8rAwAAaJltV7AOHDig2267Tb169VJVVZVmz56tPn366Fe/%2BpW%2B/PJLrV271t8lAgAANMu2K1iPPPKIMjMz9emnn6pHjx7e43fccYd27Njhx8oAAABaZ9sVrL1792rlypVN/lzOt7/9bd4iBAAAtmbbFazw8HCdOXOmyfEjR46oX79%2BfqgIAACgfWwbsO6880797Gc/08WLFyVJDodDf/rTn7RkyRLNmDHDz9UBAAC0zLYB65lnntHx48flcrl09uxZTZw4Ud/5znfUo0ePJn%2BfEAAAwE5s%2BwyW0%2BlUSUmJioqK9NFHH%2Bmrr77SiBEjNHny5CbPZQEAANiJLQPWhQsXdPvtt%2Bull15SRkaGMjIy/F0SAABAu9nyLcKwsDBVVFSwUgUAAAKSLQOWJN17771avXq1v8sAAADoMFu%2BRXjZihUr9P7772vUqFHq3bu3z7knn3zST1UBAAC0zrYBq7y8XDfeeKMkad%2B%2BfT7neOsQAADYme0C1tGjR5WUlKSdO3f6uxQAAICrYrtnsJKTk3Xy5Env/syZM3XixAk/VgQAANAxtgtYlmX57L/77rtqbGz0UzUAAAAdZ7uABQAAEOhsF7AcDkeTh9h5qB0AAAQS2z3kblmWZs%2BerYiICEnSuXPn9NBDDzX5mIa33nrLH%2BUBAAC0yXYBKzs722f/3nvv9VMlAAAAV8d2AYtPbwcAAIHOds9gAQAABDoCFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADAsqAPWjh07NH36dMXHx8vhcOjtt9/2OW9ZlvLz8xUfH6%2BePXtqwoQJOnjwoM%2BYuro6ZWVlyel0yul0KisrS6dPn%2B7KNgAAQIAJ6oDV2Nio4cOHa8WKFc2ef/LJJ/Xss89qxYoV2rt3r1wul7773e%2BqoaHBOyYzM1OVlZUqLCxUYWGhKisrlZWV1VUtAACAAGS7T3I3aerUqZo6dWqz5yzL0vPPP6%2BlS5dqxowZkqS1a9cqNjZWb7zxhh588EEdOnRIhYWFKi0t1ZgxYyRJq1atUlpamg4fPqzBgwd3WS8AACBwBPUKVmuOHTummpoaZWRkeI9FRERo/PjxKikpkSTt3r1bTqfTG64kKTU1VU6n0zsGAADgSkG9gtWampoaSVJsbKzP8djYWH3%2B%2BefeMTExMU2ujYmJ8V7fHI/HI4/H492vr683UTIAAAgQ3XYF6zKHw%2BGzb1mWz7Erzzc35koFBQXeh%2BKdTqcSExPNFQwAAGyv2wYsl8slSU1Wompra72rWi6XSydOnGhy7cmTJ5usfH1dXl6e3G63d6uqqjJYOQAAsLtuG7CSkpLkcrlUVFTkPXb%2B/HkVFxcrPT1dkpSWlia3260PP/zQO2bPnj1yu93eMc2JiIhQVFSUzwYAALqPoH4G68yZM/rjH//o3T927JgqKysVHR2t6667Tjk5OVq2bJmSk5OVnJysZcuWqVevXsrMzJQkDRkyRFOmTNGcOXP08ssvS5IeeOABTZs2jd8gBAAALQrqgFVWVqZbb73Vu5%2BbmytJys7O1po1a7R48WKdPXtWDz/8sOrq6jRmzBht3bpVkZGR3mvWr1%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%2Bvnj17asKECTp48KAfKwYAAHbX7QOWJN1www2qrq72bvv37/eee/LJJ/Xss89qxYoV2rt3r1wul7773e%2BqoaHBjxUDAAA7I2BJCg0Nlcvl8m79%2B/eX9LfVq%2Beff15Lly7VjBkzlJKSorVr1%2Bqvf/2r3njjDT9XDQAA7IqAJenIkSOKj49XUlKSZs2apaNHj0qSjh07ppqaGmVkZHjHRkREaPz48SopKfFXuQAAwOZC/V2Av40ZM0avvfaaBg0apBMnTujxxx9Xenq6Dh48qJqaGklSbGyszzWxsbH6/PPPW7ynx%2BORx%2BPx7tfX13dO8QAAwJa6fcCaOnWq9%2Bthw4YpLS1NAwcO1Nq1a5WamipJcjgcPtdYltXk2NcVFBToscce65yCAQCA7fEW4RV69%2B6tYcOG6ciRI97fJry8knVZbW1tk1Wtr8vLy5Pb7fZuVVVVnVozAACwFwLWFTwejw4dOqS4uDglJSXJ5XKpqKjIe/78%2BfMqLi5Wenp6i/eIiIhQVFSUzwYAALqPbv8W4aJFizR9%2BnRdd911qq2t1eOPP676%2BnplZ2fL4XAoJydHy5YtU3JyspKTk7Vs2TL16tVLmZmZ/i4dAADYVLcPWF9%2B%2BaW%2B//3v69SpU%2Brfv79SU1NVWlqqAQMGSJIWL16ss2fP6uGHH1ZdXZ3GjBmjrVu3KjIy0s%2BVAwAAu%2Br2AWvDhg2tnnc4HMrPz1d%2Bfn7XFAQAAAIez2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCwUH8XAAB2N2ppob9L6JCyJ6b4uwSg22MFCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYaH%2BLgAA0H2NWlro7xI6pOyJKf4uoUMC6ecbaD/btrCCBQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsNrppZdeUlJSknr06KGRI0dq586d/i4JAADYFAGrHTZu3KicnBwtXbpUFRUVuvnmmzV16lR98cUX/i4NAADYEAGrHZ599lndf//9%2BtGPfqQhQ4bo%2BeefV2JiolauXOnv0gAAgA3xQaNtOH/%2BvMrLy7VkyRKf4xkZGSopKWn2Go/HI4/H4913u92SpPr6euP1XfI0Gr9nZ%2BmM/jtTIP1spcD7%2BQYS/lvoPPxsO1cg/Xw742d7%2BZ6WZRm/d1sIWG04deqULl26pNjYWJ/jsbGxqqmpafaagoICPfbYY02OJyYmdkqNgcL5jL8rCG78fHEZ/y10Hn62naczf7YNDQ1yOp2d9w2aQcBqJ4fD4bNvWVaTY5fl5eUpNzfXu//VV1/pL3/5i/r27dviNVejvr5eiYmJqqqqUlRUlLH7%2Bluw9iUFb2/B2pdEb4EoWPuSgre3zurLsiw1NDQoPj7e2D3bi4DVhn79%2BikkJKTJalVtbW2TVa3LIiIiFBER4XPs2muv7bQao6Kigup/tMuCtS8peHsL1r4kegtEwdqXFLy9dUZfXb1ydRkPubchPDxcI0eOVFFRkc/xoqIipaen%2B6kqAABgZ6xgtUNubq6ysrI0atQopaWl6ZVXXtEXX3yhhx56yN%2BlAQAAGwrJz8/P93cRdpeSkqK%2Bfftq2bJlevrpp3X27FmtW7dOw4cP93dpCgkJ0YQJExQaGlxZOVj7koK3t2DtS6K3QBSsfUnB21uw9eWw/PG7iwAAAEGMZ7AAAAAMI2ABAAAYRsACAAAwjIAFAABgGAHLpnbs2KHp06crPj5eDodDb7/9dpvXFBcXa%2BTIkerRo4e%2B853v6L//%2B7%2B7oNKO62hv27dvl8PhaLL97//%2BbxdV3D4FBQUaPXq0IiMjFRMTo7vuukuHDx9u87pNmzZp6NChioiI0NChQ7V58%2BYuqLb9rqavNWvWNDtn586d66Kq22flypW68cYbvR9umJaWpvfee6/Va%2Bw%2BX5d1tLdAmbMrFRQUyOFwKCcnp9VxgTJvl7Wnr0CZs/z8/CY1ulyuVq8JlNez1hCwbKqxsVHDhw/XihUr2jX%2B2LFjuv3223XzzTeroqJCjz76qBYsWKBNmzZ1cqUd19HeLjt8%2BLCqq6u9W3JycidVeHWKi4s1d%2B5clZaWqqioSBcvXlRGRoYaG1v%2BY6u7d%2B/WzJkzlZWVpY8//lhZWVm6%2B%2B67tWfPni6svHVX05f0t09k/vp8VVdXq0ePHl1UdfskJCRo%2BfLlKisrU1lZmSZOnKh//Mcm9uLTAAAGxElEQVR/1MGDB5sdHwjzdVlHe5MCY86%2Bbu/evXrllVd04403tjoukOZNan9fUuDM2Q033OBT4/79%2B1scG0ivZ62yYHuSrM2bN7c6ZvHixdb111/vc%2BzBBx%2B0UlNTO7O0b6w9vW3bts2SZNXV1XVRVWbU1tZakqzi4uIWx9x9993WlClTfI5NnjzZmjVrVmeXd9Xa09fq1astp9PZhVWZ06dPH%2BvnP/95s%2BcCcb6%2BrrXeAm3OGhoarOTkZKuoqMgaP3689ZOf/KTFsYE0bx3pK1Dm7Kc//ak1fPjwdo8P1NezK7GCFSR2796tjIwMn2OTJ09WWVmZLly44KeqzLrpppsUFxenSZMmadu2bf4up01ut1uSFB0d3eKYluatpKSkU2v7JtrTlySdOXNGAwYMUEJCgqZNm6aKioquKO%2BqXbp0SRs2bFBjY6PS0tKaHROI8yW1rzcpsOZs7ty5uuOOO3Tbbbe1OTaQ5q0jfUmBM2dHjhxRfHy8kpKSNGvWLB09erTFscHyehYcH5cK1dTUNPnj07Gxsbp48aJOnTqluLg4P1X2zcXFxemVV17RyJEj5fF4tG7dOk2aNEnbt2/XLbfc4u/ymmVZlnJzczVu3DilpKS0OK6lebvyj4vbRXv7uv7667VmzRoNGzZM9fX1euGFFzR27Fh9/PHHtntrd//%2B/UpLS9O5c%2Bf0rW99S5s3b9bQoUObHRto89WR3gJpzjZs2KDy8nKVlZW1a3ygzFtH%2BwqUORszZoxee%2B01DRo0SCdOnNDjjz%2Bu9PR0HTx4UH379m0yPlhezwhYQcThcPjsW///If1XHg80gwcP1uDBg737aWlpqqqq0tNPP23bgDVv3jzt27dPu3btanNsc/Nm1zlrb1%2BpqalKTU317o8dO1YjRozQf/7nf%2BrFF1/s7DI7ZPDgwaqsrNTp06e1adMmZWdnq7i4uMUgEkjz1ZHeAmXOqqqq9JOf/ERbt27t0LNGdp%2B3q%2BkrUOZs6tSp3q%2BHDRumtLQ0DRw4UGvXrlVubm6z1wTD6xlvEQYJl8vV5F9jtbW1Cg0NbfZfCIEuNTVVR44c8XcZzZo/f762bNmibdu2KSEhodWxLc3blf96s4OO9HWla665RqNHj7blnIWHh%2Bvv//7vNWrUKBUUFGj48OF64YUXmh0bSPMlday3K9l1zsrLy1VbW6uRI0cqNDRUoaGhKi4u1osvvqjQ0FBdunSpyTWBMG9X09eV7DpnV%2Brdu7eGDRvWYp3B8npGwAoSaWlpKioq8jm2detWjRo1SmFhYX6qqvNUVFTYbpnYsizNmzdPb731lj744AMlJSW1eU1L85aent5ZZXbY1fTV3D0qKyttN2fNsSxLHo%2Bn2XOBMF%2Btaa235sbacc4mTZqk/fv3q7Ky0ruNGjVK99xzjyorKxUSEtLkmkCYt6vp60p2nbMreTweHTp0qMU6g%2Bb1zB9P1qNtDQ0NVkVFhVVRUWFJsp599lmroqLC%2Bvzzzy3LsqwlS5ZYWVlZ3vFHjx61evXqZT3yyCPWH/7wB%2BsXv/iFFRYWZv3P//yPv1poUUd7e%2B6556zNmzdbn3zyiXXgwAFryZIlliRr06ZN/mqhWT/%2B8Y8tp9Npbd%2B%2B3aqurvZuf/3rX71jsrKyrCVLlnj3f//731shISHW8uXLrUOHDlnLly%2B3QkNDrdLSUn%2B00Kyr6Ss/P98qLCy0Pv30U6uiosK67777rNDQUGvPnj3%2BaKFFeXl51o4dO6xjx45Z%2B/btsx599FHrmmuusbZu3WpZVmDO12Ud7S1Q5qw5V/62XSDP29e11VegzNnChQut7du3W0ePHrVKS0utadOmWZGRkdZnn31mWVZgv561hoBlU5c/muDKLTs727Isy8rOzrbGjx/vc8327dutm266yQoPD7f%2B7u/%2Bzlq5cmXXF94OHe3tP/7jP6yBAwdaPXr0sPr06WONGzfOeuedd/xTfCua60mStXr1au%2BY8ePHe/u87M0337QGDx5shYWFWddff73tguPV9JWTk2Ndd911Vnh4uNW/f38rIyPDKikp6fri2/DDH/7QGjBggLfOSZMmeQOIZQXmfF3W0d4CZc6ac2UQCeR5%2B7q2%2BgqUOZs5c6YVFxdnhYWFWfHx8daMGTOsgwcPes8H8utZaxyW9f9PjgEAAMAInsECAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGDY/wH2PM5Hnk9WtQAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-3698741289240508702\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">276</td>\n",
       "        <td class=\"number\">69.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">75</td>\n",
       "        <td class=\"number\">19.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:27%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">26</td>\n",
       "        <td class=\"number\">6.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">9</td>\n",
       "        <td class=\"number\">2.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">9</td>\n",
       "        <td class=\"number\">2.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-3698741289240508702\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">276</td>\n",
       "        <td class=\"number\">69.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">75</td>\n",
       "        <td class=\"number\">19.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:27%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">26</td>\n",
       "        <td class=\"number\">6.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">9</td>\n",
       "        <td class=\"number\">2.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">9</td>\n",
       "        <td class=\"number\">2.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">276</td>\n",
       "        <td class=\"number\">69.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">75</td>\n",
       "        <td class=\"number\">19.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:27%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">26</td>\n",
       "        <td class=\"number\">6.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">9</td>\n",
       "        <td class=\"number\">2.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">9</td>\n",
       "        <td class=\"number\">2.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Fedu\">Fedu<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>2.5215</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>4</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.5%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram3219379132220693582\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAcNJREFUeJzt3bHK01AYx%2BE3xTW9gI/kLtydBO9JcBC8J8HJ3btI6AWkODjYOGgdVP5Y%2BHpiPp9nbEnfE8iPQ87Sbl3XtRqb57nGcWw9lp2bpqmGYWg681nTaT/0fV9V32/4eDxusQR2ZFmWGsfx53PT0iaBdF1XVVXH41Egv3j%2B%2Bv3N13x69%2BoOK/n3XJ%2Bblg7NJ8KOCAQCgUAgEAgEAsEmp1hsy0nZ37ODQGAH4W6ewk5lB4FAIBAIBAKBQCAQCP7bU6yncMLC/dlBIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAg2%2BX%2BQdV2rqmpZlt%2B%2Be/H2w82/9/HNy5uv%2Bfrl883X/Gm9j63Fulrd%2B2PNuX52fW5a6tYNps7zXOM4th7Lzk3TVMMwNJ25SSCXy6VOp1P1fV9d17Uez86s61rn87keHh7qcGj7VrBJILAXXtIhEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCL4BkZNg4U59RDYAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives3219379132220693582,#minihistogram3219379132220693582\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives3219379132220693582\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles3219379132220693582\"\n",
       "                                                  aria-controls=\"quantiles3219379132220693582\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram3219379132220693582\" aria-controls=\"histogram3219379132220693582\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common3219379132220693582\" aria-controls=\"common3219379132220693582\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme3219379132220693582\" aria-controls=\"extreme3219379132220693582\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles3219379132220693582\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>1.0882</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.43157</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.1985</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>2.5215</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.96092</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.031672</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>996</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>1.1842</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram3219379132220693582\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%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%2B7s2bN69tlndcMNN6hDhw6Ki4vTQw89pGPHjvndo7y8XGlpafJ6vfJ6vUpLS9NXX33V0kMBAAABpFUHrJMnT6pv377Kycmpc%2B7rr7/Wvn379Pzzz2vfvn1at26dDh8%2BrNGjR/v1S01NVVFRkTZu3KiNGzeqqKhIaWlpLTUEAAAQgDzGGON0ES3B4/Fo/fr1uu%2B%2B%2Bxrss2fPHv3gBz/Q0aNH1b17dx08eFC9e/fWzp07NWjQIEnSzp07lZSUpD//%2Bc/q0aNHo977woULOnbsmCIiIuTxeKyMBwAAXJoxRlVVVYqLi1O7di27phTcou/mchUVFfJ4POrYsaMkaceOHfJ6vb5wJUmDBw%2BW1%2BtVfn5%2BowPWsWPHFB8f3yw1AwCASysuLla3bt1a9D0JWH93%2BvRpzZw5U6mpqYqMjJQklZaWKioqqk7fqKgolZaWNnivmpoa1dTU%2BI5rFwmLi4t99wYAAM2rsrJS8fHxioiIaPH3JmDpmw3v48aN04ULF/Taa6/5navvIz1jzCU/6svOztbs2bPrtEdGRhKwAABoYU5sz2nVm9wb4%2BzZsxo7dqyOHDmi3NxcvwAUExOjL7/8ss41x48fV3R0dIP3zMjIUEVFhe9VXFzcLLUDAAB3atMBqzZcffzxx9q8ebO6dOnidz4pKUkVFRXavXu3r23Xrl2qqKhQcnJyg/cNCwvzrVaxagUAQNvTqj8irK6u1l/%2B8hff8ZEjR1RUVKTOnTsrLi5O999/v/bt26f//u//1vnz5337qjp37qzQ0FD16tVLd955px577DG9/vrrkqTHH39co0aNavQGdwAA0Pa06q9p2Lp1q2699dY67ePHj1dmZqYSEhLqvW7Lli0aPny4JOlvf/ubpk6dqg0bNkiSRo8erZycHN9vGjZGZWWlvF6vKioqWM0CAKCFOPnf31YdsNyCgAUAQMtz8r%2B/bXoPFgAAQHMgYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLWvU3uQOADQNmbXS6hCbZ%2B%2BKdTpcAtHmsYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwrFUHrG3btunee%2B9VXFycPB6P3n33Xb/zxhhlZmYqLi5OV111lYYPH64DBw749SkvL1daWpq8Xq%2B8Xq/S0tL01VdfteQwAABAgGnVAevkyZPq27evcnJy6j0/d%2B5czZ8/Xzk5OdqzZ49iYmJ0%2B%2B23q6qqytcnNTVVRUVF2rhxozZu3KiioiKlpaW11BAAAEAACna6gOZ011136a677qr3nDFGCxYs0KxZszRmzBhJ0ooVKxQdHa1Vq1Zp4sSJOnjwoDZu3KidO3dq0KBBkqSlS5cqKSlJhw4dUo8ePVpsLAAAIHC06hWsSzly5IhKS0uVkpLiawsLC9OwYcOUn58vSdqxY4e8Xq8vXEnS4MGD5fV6fX0AAAAu1qpXsC6ltLRUkhQdHe3XHh0draNHj/r6REVF1bk2KirKd319ampqVFNT4zuurKy0UTIAAAgQbTZg1fJ4PH7Hxhi/tovP19fnYtnZ2Zo9e7a9IgGglRowa6PTJTTJ3hfvdLoEBIg2%2BxFhTEyMJNVZiSorK/OtasXExOjLL7%2Bsc%2B3x48frrHx9W0ZGhioqKnyv4uJii5UDAAC3a7MBKyEhQTExMcrNzfW1nTlzRnl5eUpOTpYkJSUlqaKiQrt37/b12bVrlyoqKnx96hMWFqbIyEi/FwAAaDta9UeE1dXV%2Bstf/uI7PnLkiIqKitS5c2d1795d6enpysrKUmJiohITE5WVlaX27dsrNTVVktSrVy/deeedeuyxx/T6669Lkh5//HGNGjWK3yAEAAANatUBa%2B/evbr11lt9x9OnT5ckjR8/XsuXL9eMGTN06tQpPfHEEyovL9egQYO0adMmRURE%2BK556623NHXqVN9vG44ePbrB79UCAACQWnnAGj58uIwxDZ73eDzKzMxUZmZmg306d%2B6slStXNkN1AACgtWqze7AAAACaCwELAADAMgIWAACAZQQsAAAAywhYAAAAlrXq3yIEAKAtC6Q/RdTa/gwRK1gAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsCzY6QKcdu7cOWVmZuqtt95SaWmpYmNjNWHCBP3rv/6r2rX7Jn8aYzR79mwtWbJE5eXlGjRokF599VVdf/31DleP5jRg1kanS2iSvS/e6XQJAIC/a/MrWC%2B99JJ%2B%2BctfKicnRwcPHtTcuXP185//XIsWLfL1mTt3rubPn6%2BcnBzt2bNHMTExuv3221VVVeVg5QAAwK3afMDasWOHfvjDH%2Bqee%2B7Rtddeq/vvv18pKSnau3evpG9WrxYsWKBZs2ZpzJgx6tOnj1asWKGvv/5aq1atcrh6AADgRm0%2BYA0dOlR//OMfdfjwYUnS%2B%2B%2B/r/fee0933323JOnIkSMqLS1VSkqK75qwsDANGzZM%2Bfn5jtQMAADcrc3vwXr22WdVUVGhnj17KigoSOfPn9eLL76of/mXf5EklZaWSpKio6P9rouOjtbRo0frvWdNTY1qamp8x5WVlc1UPQAAcKM2v4K1Zs0arVy5UqtWrdK%2Bffu0YsUKvfzyy1qxYoVfP4/H43dsjKnTVis7O1ter9f3io%2BPb7b6AQCA%2B7T5gPXTn/5UM2fO1Lhx43TDDTcoLS1N06ZNU3Z2tiQpJiZG0v9fyapVVlZWZ1WrVkZGhioqKnyv4uLi5h0EAABwlTYfsL7%2B%2Bmvf1zHUCgoK0oULFyRJCQkJiomJUW5uru/8mTNnlJeXp%2BTk5HrvGRYWpsjISL8XAABoO9r8Hqx7771XL774orp3767rr79ehYWFmj9/vh555BFJ33w0mJ6erqysLCUmJioxMVFZWVlq3769UlNTHa4eAAC4UZsPWIsWLdLzzz%2BvJ554QmVlZYqLi9PEiRP1wgsv%2BPrMmDFDp06d0hNPPOH7otFNmzYpIiLCwcoBAIBbtfmAFRERoQULFmjBggUN9vF4PMrMzFRmZmbLFQYAAAJWm9%2BDBQAAYBsBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLXBuwVq5cqdOnTztdBgAAQJO5NmBNnz5dMTExmjhxonbv3u10OQAAAI3m2oB17NgxvfnmmyopKdHQoUN1/fXXa968eTp%2B/LjTpQEAAFySawNWcHCwxowZow0bNuizzz7T%2BPHj9eabb6pbt24aM2aMfvvb38oY43SZAAAAdbg2YH1bTEyMRowYoeHDh8vj8Wjv3r1KTU1VYmKitm/f7nR5AAAAflwdsE6cOKEFCxaob9%2B%2BGjJkiMrKyvTuu%2B/q6NGj%2BuKLLzRq1Cg99NBDTpcJAADgJ9jpAhryT//0T/rd736nhIQE/fjHP9b48eN19dVX%2B85/5zvf0YwZM7Rw4UIHqwQAAKjLtQErMjJSmzdv1s0339xgn9jYWH388cctWBUAAMDluTZgrVix4rJ9PB6PrrvuuhaoBgAAoPFcuwdr2rRpysnJqdP%2B6quv6umnn3agIgAAgMZxbcB65513NHjw4DrtSUlJWrNmjQMVAQAANI5rA9aJEyfUqVOnOu2RkZE6ceKEAxUBAAA0jmsD1nXXXac//OEPddr/8Ic/KCEhwYGKAAAAGse1m9zT09OVnp6u//3f/9Vtt90mSfrjH/%2BouXPn6uWXX3a4OgAAgIa5NmA99thjOn36tLKysvRv//ZvkqRu3bpp4cKFeuSRRxyuDgAAoGGuDViSNGXKFE2ZMkUlJSW66qqr1LFjR6dLAgAAuCxXB6xasbGxTpcAAADQaK7d5H78%2BHE9/PDD6t69u8LDwxUaGur3AgAAcCvXrmBNmDBBn3zyiX76058qNjZWHo/H6ZIAAAAaxbUBa9u2bdq2bZv69evndCkAAABN4tqPCLt168aqFQAACEiuDVivvPKKMjIy9PnnnztdCgAAQJO49iPCtLQ0VVVV6ZprrlFkZKRCQkL8zpeVlTlUGQAAwKW5NmDNmTPH6RIAAACuiGsD1qOPPup0CQAAAFfEtXuwJOmvf/2rMjMzlZaW5vtIcNOmTTp48KDDlQEAADTMtQFr%2B/btuv7665WXl6e3335b1dXVkqR9%2B/bphRdecLg6AACAhrk2YD377LPKzMzUli1b/L65/bbbbtPOnTsdrAwAAODSXBuw9u/fr/vvv79Oe1RUlI4fP%2B5ARQAAAI3j2oDVsWNHlZaW1mkvKirSd7/7XQcqAgAAaBzXBqxx48Zp5syZOn78uO8b3Xft2qVnnnlGDz74oNX3%2BuKLL/Tggw%2BqS5cuat%2B%2Bvf7xH/9RBQUFvvPGGGVmZiouLk5XXXWVhg8frgMHDlitAQAAtB6uDVhZWVmKiYlRbGysqqur1bt3byUnJ2vgwIF6/vnnrb1PeXm5hgwZopCQEP3%2B97/XRx99pHnz5qljx46%2BPnPnztX8%2BfOVk5OjPXv2KCYmRrfffruqqqqs1QEAAFoP134PVmhoqNasWaPDhw9r3759unDhgm666Sb17NnT6vu89NJLio%2BP17Jly3xt1157re9/G2O0YMECzZo1S2PGjJEkrVixQtHR0Vq1apUmTpxotR4AABD4XLuCVev73/%2B%2Bxo0bp9TUVOvhSpI2bNigAQMG6J//%2BZ8VFRWlfv36aenSpb7zR44cUWlpqVJSUnxtYWFhGjZsmPLz863XAwAAAp9rV7Aef/zxS55fsmSJlff59NNPtXjxYk2fPl3PPfecdu/eralTpyosLEwPPfSQb6N9dHS033XR0dE6evRovfesqalRTU2N77iystJKrQAAIDC4NmCVlJT4HZ89e1YHDhxQVVWVbrnlFmvvc%2BHCBQ0YMEBZWVmSpH79%2BunAgQNavHixHnroIV%2B/2o32tYwxddpqZWdna/bs2dZqBAAAgcW1Aeu//uu/6rSdO3dOP/nJT9SrVy9r7xMbG6vevXv7tfXq1Utr166VJMXExEiSSktLFRsb6%2BtTVlZWZ1WrVkZGhqZPn%2B47rqysVHx8vLWaAQCAu7l%2BD9a3BQcH65lnntHPf/5za/ccMmSIDh065Nd2%2BPBhXXPNNZKkhIQExcTEKDc313f%2BzJkzysvLU3Jycr33DAsLU2RkpN8LAAC0Ha5dwWrIp59%2BqrNnz1q737Rp05ScnKysrCyNHTtWu3fv1pIlS3x7vDwej9LT05WVlaXExEQlJiYqKytL7du3V2pqqrU6AABA6%2BHagDVjxgy/Y2OMSkpKtGHDBj3wwAPW3mfgwIFav369MjIy9LOf/UwJCQlasGCB33vMmDFDp06d0hNPPKHy8nINGjRImzZtUkREhLU6AABA6%2BHagLVjxw6/43bt2unqq6/WnDlz9Nhjj1l9r1GjRmnUqFENnvd4PMrMzFRmZqbV9wUAAK2TawPW9u3bnS4BAADgigTUJncAAIBA4NoVrIEDBzb4PVMX2717dzNXAwAA0HiuDVi33nqrXn/9dX3/%2B99XUlKSJGnnzp06dOiQJk6cqLCwMIcrBAAAqJ9rA9ZXX32lyZMn%2B75hvdasWbP05Zdf6le/%2BpVDlQEAAFyaa/dgvf3223r44YfrtE%2BYMEHvvPOOAxUBAAA0jmsDVlhYmPLz8%2Bu05%2Bfn8/EgAABwNdd%2BRDh16lRNmjRJhYWFGjx4sKRv9mAtXbpUzz33nMPVAQAANMy1AWvWrFlKSEjQL37xC7355puSvvkjzEuXLuVP1AAAAFdzbcCSpNTUVMIUAAAIOK7dgyVJlZWVWr58uV544QWVl5dLkt5//32VlJQ4XBkAAEDDXLuC9eGHH2rkyJFq3769iouLNWHCBHXq1Elvv/22Pv/8c61YscLpEgEAAOrl2hWsadOmKTU1VZ988onCw8N97ffcc4%2B2bdvmYGUAAACX5toVrD179mjx4sV1/lzOd7/7XT4iBAAArubaFazQ0FBVV1fXaf/444/VtWtXByoCAABoHNcGrNGjR%2Bvf//3fde7cOUmSx%2BPRF198oZkzZ2rMmDEOVwcAANAw1wasefPm6dixY4qJidGpU6d022236Xvf%2B57Cw8Pr/H1CAAAAN3HtHiyv16v8/Hzl5uZq3759unDhgm666SbdcccddfZlAQAAuIkrA9bZs2d1991367XXXlNKSopSUlKcLgkAAKDRXPkRYUhIiAoLC1mpAgAAAcmVAUuSHnzwQS1btszpMgAAAJrMlR8R1srJydHmzZs1YMAAdejQwe/c3LlzHaoKAADg0lwbsAoKCnTjjTdKkvbv3%2B93jo8OAQCAm7kuYH366adKSEjQ9u3bnS4FAADgirhuD1ZiYqKOHz/uO/7Rj36kL7/80sGKAAAAmsZ1AcsY43f8u9/9TidPnnSoGgAAgKZzXcACAAAIdK4LWB6Pp84mdja1AwCAQOK6Te7GGE2YMEFhYWGSpNOnT2vSpEl1vqZh3bp1TpQHAABwWa4LWOPHj/c7fvDBBx2qBAAA4Mq4LmDx7e0AACDQuW4PFgAAQKAjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjID1LdnZ2fJ4PEpPT/e11dTUaMqUKeratas6dOig0aNH6/PPP3ewSgAA4HYErL/bs2ePlixZohtvvNGvPT09XevXr9fq1av13nvvqbq6WqNGjdL58%2BcdqhQAALgdAUtSdXW1HnjgAS1dulSdOnXytVdUVOiNN97QvHnzNHLkSPXr108rV67UBx98oM2bNztYMQAAcDMClqTJkyfrnnvu0ciRI/3aCwoKdPbsWaWkpPja4uLi1KdPH%2BXn57d0mQAAIEAEO12A01avXq2CggLt3bu3zrnS0lKFhob6rWpJUnR0tEpLSxu8Z01NjWpqanzHlZWV9goGAACu16ZXsIqLi/XUU0/prbfeUnh4eKOvM8bI4/E0eD47O1ter9f3io%2BPt1EuAAAIEG06YBUUFKisrEz9%2B/dXcHCwgoODlZeXp4ULFyo4OFjR0dE6c%2BaMysvL/a4rKytTdHR0g/fNyMhQRUWF71VcXNzcQwEAAC7Spj8iHDFihD744AO/tocfflg9e/bUs88%2Bq/j4eIWEhCg3N1djx46VJJWUlOjDDz/U3LlzG7xvWFiYwsLCmrV2AADgXm06YEVERKhPnz5%2BbR06dFCXLl187Y8%2B%2BqiefvppdenSRZ07d9YzzzyjG264oc6GeAAAgFptOmA1xiuvvKLg4GCNHTtWp06d0ogRI7R8%2BXIFBQU5XRoAAHApAtZFtm7d6nccHh6uRYsWadGiRc4UBAAAAk6b3uQOAADQHAhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWtfmAlZ2drYEDByoiIkJRUVG67777dOjQIb8%2BNTU1mjJlirp27aoOHTpo9OjR%2Bvzzzx2qGAAAuF2bD1h5eXmaPHmydu7cqdzcXJ07d04pKSk6efKkr096errWr1%2Bv1atX67333lN1dbVGjRql8%2BfPO1g5AABwq2CnC3Daxo0b/Y6XLVumqKgoFRQU6JZbblFFRYXeeOMN/frXv9bIkSMlSStXrlR8fLw2b96sO%2B64w4myAQCAi7X5FayLVVRUSJI6d%2B4sSSooKNDZs2eVkpLi6xMXF6c%2BffooPz/fkRoBAIC7tfkVrG8zxmj69OkaOnSo%2BvTpI0kqLS1VaGioOnXq5Nc3OjpapaWl9d6npqZGNTU1vuPKysrmKxoAALgOK1jf8uSTT2r//v36zW9%2Bc9m%2Bxhh5PJ56z2VnZ8vr9fpe8fHxtksFAAAuRsD6uylTpmjDhg3asmWLunXr5muPiYnRmTNnVF5e7te/rKxM0dHR9d4rIyNDFRUVvldxcXGz1g4AANylzQcsY4yefPJJrVu3Tn/605%2BUkJDgd75///4KCQlRbm6ur62kpEQffvihkpOT671nWFiYIiMj/V4AAKDtaPN7sCZPnqxVq1bpP//zPxUREeHbV%2BX1enXVVVfJ6/Xq0Ucf1dNPP60uXbqoc%2BfOeuaZZ3TDDTf4fqsQAADg29p8wFq8eLEkafjw4X7ty5Yt04QJEyRJr7zyioKDgzV27FidOnVKI0aM0PLlyxUUFNTC1QIAgEDQ5gOWMeayfcLDw7Vo0SItWrSoBSoCAACBrs3vwQIAALCNgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYFmw0wXg/2bArI1Ol9Boe1%2B80%2BkSAABoEaxgNdJrr72mhIQEhYeHq3///tq%2BfbvTJQEAAJciYDXCmjVrlJ6erlmzZqmwsFA333yz7rrrLn322WdOlwYAAFyIgNUI8%2BfP16OPPqof//jH6tWrlxYsWKD4%2BHgtXrzY6dIAAIALsQfrMs6cOaOCggLNnDnTrz0lJUX5%2Bfn1XlNTU6OamhrfcUVFhSSpsrLSen3na05av2dzaY7xN6dA%2BtlKgffzDST8s9B8%2BNk2r0D6%2BTbHz7b2nsYY6/e%2BHALWZZw4cULnz59XdHS0X3t0dLRKS0vrvSY7O1uzZ8%2Bu0x4fH98sNQYK7zynK2jd%2BPmiFv8sNB9%2Bts2nOX%2B2VVVV8nq9zfcG9SBgNZLH4/E7NsbUaauVkZGh6dOn%2B44vXLigv/3tb%2BrSpUuD11yJyspKxcfHq7i4WJGRkdbu67TWOi6p9Y6ttY5LYmyBqLWOS2q9Y2uucRljVFVVpbi4OGv3bCwC1mV07dpVQUFBdVarysrK6qxq1QoLC1NYWJhfW8eOHZutxsjIyFb1oNVqreOSWu/YWuu4JMYWiFrruKTWO7bmGFdLr1zVYpP7ZYSGhqp///7Kzc31a8/NzVVycrJDVQEAADdjBasRpk%2BfrrS0NA0YMEBJSUlasmSJPvvsM02aNMnp0gAAgAsFZWZmZjpdhNv16dNHXbp0UVZWll5%2B%2BWWdOnVKv/71r9W3b1%2BnS1NQUJCGDx%2Bu4ODWlZVb67ik1ju21jouibEFotY6Lqn1jq21jctjnPjdRQAAgFaMPVgAAACWEbAAAAAsI2ABAABYRsACAACwjIDlcq%2B99poSEhIUHh6u/v37a/v27Zfsv3btWvXu3VthYWHq3bu31q9f30KVNk1TxrV8%2BXJ5PJ46r9OnT7dgxZe3bds23XvvvYqLi5PH49G777572Wvy8vLUv39/hYeH63vf%2B55%2B%2BctftkClTdfUsW3durXeOfvzn//cQhU3TnZ2tgYOHKiIiAhFRUXpvvvu06FDhy57XSA8Z1cytkB41hYvXqwbb7zR94WUSUlJ%2Bv3vf3/JawJhvqSmjy0Q5qs%2B2dnZ8ng8Sk9Pv2S/QJm3hhCwXGzNmjVKT0/XrFltkB0NAAAHRklEQVSzVFhYqJtvvll33XWXPvvss3r779ixQz/60Y%2BUlpam999/X2lpaRo7dqx27drVwpVfWlPHJX3z7b4lJSV%2Br/Dw8Bas%2BvJOnjypvn37Kicnp1H9jxw5orvvvls333yzCgsL9dxzz2nq1Klau3ZtM1fadE0dW61Dhw75zVliYmIzVXhl8vLyNHnyZO3cuVO5ubk6d%2B6cUlJSdPJkw38gN1CesysZm%2BT%2BZ61bt26aM2eO9u7dq7179%2Bq2227TD3/4Qx04cKDe/oEyX1LTxya5f74utmfPHi1ZskQ33njjJfsF0rw1yMC1fvCDH5hJkyb5tfXs2dPMnDmz3v5jx441d955p1/bHXfcYcaNG9dsNV6Jpo5r2bJlxuv1tkRp1kgy69evv2SfGTNmmJ49e/q1TZw40QwePLg5S/s/a8zYtmzZYiSZ8vLyFqrKjrKyMiPJ5OXlNdgnUJ6zizVmbIH4rBljTKdOncyvfvWres8F6nzVutTYAm2%2BqqqqTGJiosnNzTXDhg0zTz31VIN9A33ejDGGFSyXOnPmjAoKCpSSkuLXnpKSovz8/Hqv2bFjR53%2Bd9xxR4P9nXAl45Kk6upqXXPNNerWrZtGjRqlwsLC5i612TU0X3v37tXZs2cdqsqufv36KTY2ViNGjNCWLVucLueyKioqJEmdO3dusE8gPGf1aczYpMB61s6fP6/Vq1fr5MmTSkpKqrdPoM5XY8YmBdZ8TZ48Wffcc49Gjhx52b6BOm/fRsByqRMnTuj8%2BfN1/qB0dHR0nT88Xau0tLRJ/Z1wJePq2bOnli9frg0bNug3v/mNwsPDNWTIEH388cctUXKzaWi%2Bzp07pxMnTjhUlR2xsbFasmSJ1q5dq3Xr1qlHjx4aMWKEtm3b5nRpDTLGaPr06Ro6dKj69OnTYL9AeM4u1tixBcqz9sEHH%2Bg73/mOwsLCNGnSJK1fv169e/eut2%2BgzVdTxhYo8yVJq1evVkFBgbKzsxvVP9DmrT6t4/voWzGPx%2BN3bIyp0/Z/6e%2BUptQ5ePBgDR482Hc8ZMgQ3XTTTVq0aJEWLlzYrHU2t/p%2BDvW1B5oePXqoR48evuOkpCQVFxfr5Zdf1i233OJgZQ178skntX//fr333nuX7Rsoz1mtxo4tUJ61Hj16qKioSF999ZXWrl2r8ePHKy8vr8EgEkjz1ZSxBcp8FRcX66mnntKmTZuatD8skOatPqxguVTXrl0VFBRUJ62XlZXVSfW1YmJimtTfCVcyrou1a9dOAwcOdOX/S2uKhuYrODhYXbp0caiq5jN48GDXztmUKVO0YcMGbdmyRd26dbtk30B4zr6tKWO7mFuftdDQUP3DP/yDBgwYoOzsbPXt21e/%2BMUv6u0baPPVlLFdzK3zVVBQoLKyMvXv31/BwcEKDg5WXl6eFi5cqODgYJ0/f77ONYE2b/UhYLlUaGio%2Bvfvr9zcXL/23NxcJScn13tNUlJSnf6bNm1qsL8TrmRcFzPGqKioSLGxsc1RYotpaL4GDBigkJAQh6pqPoWFha6bM2OMnnzySa1bt05/%2BtOflJCQcNlrAuE5k65sbPXdIxCeNWOMampq6j0XKPPVkEuNrb6%2BbpyvESNG6IMPPlBRUZHvNWDAAD3wwAMqKipSUFBQnWsCfd4k8VuEbrZ69WoTEhJi3njjDfPRRx%2BZ9PR006FDB/PXv/7VGGNMWlqa32/e/c///I8JCgoyc%2BbMMQcPHjRz5swxwcHBZufOnU4NoV5NHVdmZqbZuHGj%2BeSTT0xhYaF5%2BOGHTXBwsNm1a5dTQ6hXVVWVKSwsNIWFhUaSmT9/viksLDRHjx41xhgzc%2BZMk5aW5uv/6aefmvbt25tp06aZjz76yLzxxhsmJCTE/Md//IdTQ2hQU8f2yiuvmPXr15vDhw%2BbDz/80MycOdNIMmvXrnVqCPX6yU9%2BYrxer9m6daspKSnxvb7%2B%2Bmtfn0B9zq5kbIHwrGVkZJht27aZI0eOmP3795vnnnvOtGvXzmzatMkYE7jzZUzTxxYI89WQi3%2BLMJDnrSEELJd79dVXzTXXXGNCQ0PNTTfd5Pcr1sOGDTPjx4/36//OO%2B%2BYHj16mJCQENOzZ0/X/QetVlPGlZ6ebrp3725CQ0PN1VdfbVJSUkx%2Bfr4DVV9a7VcTXPyqHcv48ePNsGHD/K7ZunWr6devnwkNDTXXXnutWbx4ccsX3ghNHdtLL71krrvuOhMeHm46depkhg4dan772986U/wl1DcmSWbZsmW%2BPoH6nF3J2ALhWXvkkUd8/%2B64%2BuqrzYgRI3wBxJjAnS9jmj62QJivhlwcsAJ53hriMebvu2oBAABgBXuwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABY9v8Atf28RTaEsxEAAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common3219379132220693582\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">115</td>\n",
       "        <td class=\"number\">29.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">100</td>\n",
       "        <td class=\"number\">25.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:87%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">96</td>\n",
       "        <td class=\"number\">24.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:83%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">82</td>\n",
       "        <td class=\"number\">20.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:71%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme3219379132220693582\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">82</td>\n",
       "        <td class=\"number\">20.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:71%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">115</td>\n",
       "        <td class=\"number\">29.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">100</td>\n",
       "        <td class=\"number\">25.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:87%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">96</td>\n",
       "        <td class=\"number\">24.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:83%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">82</td>\n",
       "        <td class=\"number\">20.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:71%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">115</td>\n",
       "        <td class=\"number\">29.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">100</td>\n",
       "        <td class=\"number\">25.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:87%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">96</td>\n",
       "        <td class=\"number\">24.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:83%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Fjob\">Fjob<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>5</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>1.3%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-8808298949037899831\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>other</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 54.9%\">\n",
       "            217\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>services</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:51%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 28.1%\">\n",
       "            111\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>teacher</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 7.3%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        29\n",
       "    </td>\n",
       "</tr><tr class=\"other\">\n",
       "    <th>Other values (2)</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:18%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 9.6%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        38\n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-8808298949037899831, #minifreqtable-8808298949037899831\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-8808298949037899831\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">other</td>\n",
       "        <td class=\"number\">217</td>\n",
       "        <td class=\"number\">54.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">services</td>\n",
       "        <td class=\"number\">111</td>\n",
       "        <td class=\"number\">28.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:51%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">teacher</td>\n",
       "        <td class=\"number\">29</td>\n",
       "        <td class=\"number\">7.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">at_home</td>\n",
       "        <td class=\"number\">20</td>\n",
       "        <td class=\"number\">5.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">health</td>\n",
       "        <td class=\"number\">18</td>\n",
       "        <td class=\"number\">4.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_G1\">G1<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>17</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>4.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>10.909</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>3</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>19</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram2564550229802514434\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAdpJREFUeJzt3Duu01AYhdHfEW2cPopnwSCYEzUl82EQzCJRBmCLgoKYAkLBY%2BteJL%2BStcpY0XEkfz62j5VmHMexZna5XKrrurmHZePO53OdTqdZx3wz62g/7ff7qvrxg9u2XWIX2JC%2B76vrul/HzZwWCaRpmqqqattWIL95%2B/7Tq7/z%2BcO7CfZkfe7HzZx2s48IG7LIDLJVrz27P8uZ/ZGZQSAQCAQCgUAgELhJfwAeHkzHDAKBQCAQCAQCgUAgEAgEAoFAYB1kQv/z6jrrYgaBQCAQCAQCgUAgEAgEAoFAIBAIBE%2B7UGgRj5cwg0AgEAge4hLL5RJTeYhAmN6z/mewSywIBAKBQCBwD/KEPNR4OTMIBAKBQCAQCAQCgUAgEAgEAoF1ECbzCO9vmUEgEAgEAoFAIBCs7ibdi3SsySKBjONYVVV93/%2Bx7dvXL3PvDivyt2Pi/tn9uJnTIoEMw1BVVV3XLTE8K3b4%2BO9twzDU4XCYb2eqqhkXyPJ2u9X1eq39fl9N08w9PBszjmMNw1DH47F2u3lvmxcJBLbCUywIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEgu8YP1OGWzsDZgAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives2564550229802514434,#minihistogram2564550229802514434\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives2564550229802514434\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles2564550229802514434\"\n",
       "                                                  aria-controls=\"quantiles2564550229802514434\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram2564550229802514434\" aria-controls=\"histogram2564550229802514434\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common2564550229802514434\" aria-controls=\"common2564550229802514434\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme2564550229802514434\" aria-controls=\"extreme2564550229802514434\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles2564550229802514434\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>6</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>8</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>11</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>13</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>16</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>19</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>16</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>3.3192</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.30427</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.69383</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>10.909</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>2.7514</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.24061</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>4309</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>11.017</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram2564550229802514434\">\n",
       "            <img 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BAr%2BOFhYU2JQMAAP7OZwvW/Pnz7Y4AAABwRT5bsCZOnGh3BAAAgCvy2XuwJOnTTz9VamqqxowZ47kkuG3bNh09evQ7nS89PV0Oh0NJSUmeMbfbralTp6pFixZq2rSphg8fzn1fAADgmny2YO3atUudOnVSdna23n77bZWVlUmSDhw4oBdeeOGmz7dv3z5lZmaqS5cuXuNJSUnauHGjNmzYoN27d6usrExDhw5VVVWVkXkAAICGx2cL1pw5c5SamqodO3Z4Pbn9wQcf1J49e27qXGVlZXr88ce1cuVKNWvWzDNeXFysVatWaeHChRowYIC6deumdevW6dChQ9q%2BfbuxuQAAgIbFZwvWxx9/rJ///Oc1xlu1aqULFy7c1LmmTJmiIUOGaMCAAV7jubm5qqysVGJiomcsMjJScXFxysnJuer53G63SkpKvDYAAOA/fLZg3X777SooKKgxfvDgQd1xxx03fJ4NGzYoNzdX6enpNY4VFBQoKCjIa1VLkpxO5xV/9mXp6ekKDw/3bNHR0TecBwAA%2BD6fLViPPvqo5s6dqwsXLnie6P63v/1NM2fO1OjRo2/oHHl5eXr22Wf1X//1XwoJCbnhn21Z1jWfIp%2BcnKzi4mLPlpeXd8PnBgAAvs9nC1ZaWppcLpdat26tsrIydezYUQkJCerRo4eef/75GzpHbm6uCgsL1b17dwUEBCggIEDZ2dlaunSpAgIC5HQ6VVFRoaKiIq/3FRYWyul0XvW8wcHBCgsL89oAAID/8NnnYAUFBemtt97S8ePHdeDAAVVXV%2Bvee%2B9V%2B/btb/gc/fv316FDh7zGxo8fr/bt22vOnDmKjo5WYGCgsrKyNHLkSElSfn6%2BDh8%2BrAULFhidDwAAaDh8tmBd1q5dO7Vr1%2B47vTc0NFRxcXFeY02bNlVERIRnfOLEiZoxY4YiIiLUvHlzzZw5U507d65xQzwAAMBlPluw/u3f/u2axzMzM438nMWLFysgIEAjR45UeXm5%2BvfvrzVr1qhRo0ZGzg8AABoeny1Y%2Bfn5XvuVlZU6cuSISktLdf/993/n837wwQde%2ByEhIVq2bJmWLVv2nc8JAAD8i88WrPfee6/G2FdffaV///d/V4cOHWxIBAAA8DWf/RThlQQEBGjmzJn6zW9%2BY3cUAADgxxpUwZKkkydPqrKy0u4YAADAj/nsJcLZs2d77VuWpfz8fG3evFmPP/64TakAAAB8uGD9z//8j9f%2BbbfdppYtW2r%2B/Pn6xS9%2BYVMqAAAAHy5Yu3btsjsCAADAFflswQJqW3zKFrsjAAB8lM8WrB49elzzC5e/ae/evbWcBgAA4F98tmA98MAD%2Bs///E%2B1a9dOvXr1kiTt2bNHx44d06RJkxQcHGxzQgAA4K98tmB9/vnnmjJlitLS0rzGU1JS9Nlnn%2Bl3v/udTckAAIC/89nnYL399tsaP358jfFx48bpnXfesSERAADA13y2YAUHBysnJ6fGeE5ODpcHAQCArXz2EuEzzzyjyZMn68MPP9R9990n6et7sFauXKnnnnvO5nQAAMCf%2BWzBSklJUUxMjF599VW9/vrrkqQOHTpo5cqVGjVqlM3pAACAP/PZgiVJo0aNokwBAIB6x2fvwZKkkpISrVmzRi%2B88IKKiookSR999JHy8/NtTgYAAPyZz65gHT58WAMGDFCTJk2Ul5encePGqVmzZnr77bd19uxZrV271u6IAADAT/nsCta0adM0atQoffLJJwoJCfGMDxkyRDt37rQxGQAA8Hc%2Bu4K1b98%2BZWRk1Pi6nDvuuINLhAAAwFY%2Bu4IVFBSksrKyGuMnTpxQixYtbEgEAADwNZ8tWMOHD9d//Md/6KuvvpIkORwOnTt3TnPnztWIESNsTgcAAPyZzxashQsX6vz583K5XCovL9eDDz6oO%2B%2B8UyEhITW%2BnxAAAKAu%2Bew9WOHh4crJyVFWVpYOHDig6upq3XvvvRo0aFCN%2B7IAAADqkk8WrMrKSv3oRz/SihUrlJiYqMTERLsjAQAAePjkJcLAwEB9%2BOGHrFQBAIB6yScLliSNHj1aq1evtjsGAABADT55ifCy5cuXa/v27YqPj1fTpk29ji1YsMCmVAAAwN/5bMHKzc1Vly5dJEkff/yx1zEuHQIAADv5XME6efKkYmJitGvXLrujAAAAXJHP3YMVGxurCxcuePYfeeQRffbZZzYmAgAA8OZzK1iWZXnt/%2BlPf1J6evp3Pl9GRoYyMjL06aefSpI6deqkF154QYMHD5Ykud1uzZw5U7///e9VXl6u/v37a8WKFYqKivrOP9NfxadssTsCAAB1wudWsEyLiorS/PnztX//fu3fv18PPvigfvzjH%2BvIkSOSpKSkJG3cuFEbNmzQ7t27VVZWpqFDh6qqqsrm5AAAoL7yuRUsh8NR4yb2W7mpfdiwYV77L730kjIyMrRnzx5FRUVp1apVevPNNzVgwABJ0rp16xQdHa3t27dr0KBB3/nnAgCAhsvnCpZlWRo3bpyCg4MlSZcuXdLkyZNrPKbh3XffvelzV1VV6Z133tEXX3yhXr16KTc3V5WVlV5Pio%2BMjFRcXJxycnKuWrDcbrfcbrdnv6Sk5KazAAAA3%2BVzBWvs2LFe%2B6NHj77lcx46dEi9evXSpUuX9L3vfU8bN25Ux44ddfDgQQUFBalZs2Zer3c6nSooKLjq%2BdLT0zVv3rxbzgUAqF987V7S/S89ZHcEv%2BVzBas2nt5%2B99136%2BDBg/r888/1hz/8QWPHjlV2dvZVX29Z1jUvSyYnJ2v69Ome/ZKSEkVHRxvNDAAA6i%2BfK1i1ISgoSD/4wQ8kSfHx8dq3b59effVVPfLII6qoqFBRUZHXKlZhYaESEhKuer7g4GDPJUwAAOB//P5ThFdiWZbcbre6d%2B%2BuwMBAZWVleY7l5%2Bfr8OHD1yxYAADAv/n9CtZzzz2nwYMHKzo6WqWlpdqwYYM%2B%2BOADbdmyReHh4Zo4caJmzJihiIgINW/eXDNnzlTnzp09nyoEAAD4Nr8vWJ999pnGjBmj/Px8hYeHq0uXLtqyZYsGDhwoSVq8eLECAgI0cuRIz4NG16xZo0aNGtmcHAAA1Fd%2BX7BWrVp1zeMhISFatmyZli1bVkeJAACAr%2BMeLAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhgXYHQAA4L/iU7bYHQGoFaxgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGCY3xes9PR09ejRQ6GhoWrVqpV%2B8pOf6NixY16vcbvdmjp1qlq0aKGmTZtq%2BPDhOnv2rE2JAQBAfef3BSs7O1tTpkzRnj17lJWVpa%2B%2B%2BkqJiYn64osvPK9JSkrSxo0btWHDBu3evVtlZWUaOnSoqqqqbEwOAADqqwC7A9htyxbvb3JfvXq1WrVqpdzcXN1///0qLi7WqlWr9Oabb2rAgAGSpHXr1ik6Olrbt2/XoEGD7IgNAADqMb9fwfq24uJiSVLz5s0lSbm5uaqsrFRiYqLnNZGRkYqLi1NOTo4tGQEAQP3m9ytY32RZlqZPn64%2BffooLi5OklRQUKCgoCA1a9bM67VOp1MFBQVXPI/b7Zbb7fbsl5SU1F5oAABQ77CC9Q1PP/20Pv74Y/3%2B97%2B/7msty5LD4bjisfT0dIWHh3u26Oho01EBAEA9RsH6f1OnTtXmzZu1Y8cORUVFecZdLpcqKipUVFTk9frCwkI5nc4rnis5OVnFxcWeLS8vr1azAwCA%2BsXvC5ZlWXr66af17rvv6q9//atiYmK8jnfv3l2BgYHKysryjOXn5%2Bvw4cNKSEi44jmDg4MVFhbmtQEAAP/h9/dgTZkyRevXr9cf//hHhYaGeu6rCg8PV%2BPGjRUeHq6JEydqxowZioiIUPPmzTVz5kx17tzZ86lCAACAb/L7gpWRkSFJ6tevn9f46tWrNW7cOEnS4sWLFRAQoJEjR6q8vFz9%2B/fXmjVr1KhRozpOCwAAfIHfFyzLsq77mpCQEC1btkzLli2rg0QAAMDX%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%2B%2BysnJsTEZAACoz/x%2BBetaCgoKJElOp9Nr3Ol06vTp01d9n9vtltvt9uyXlJTUTkAAAFAvsYJ1AxwOh9e%2BZVk1xr4pPT1d4eHhni06Orq2IwIAgHqEgnUNLpdL0r9Wsi4rLCyssar1TcnJySouLvZseXl5tZoTAADULxSsa4iJiZHL5VJWVpZnrKKiQtnZ2UpISLjq%2B4KDgxUWFua1AQAA/%2BH392CVlZXpH//4h2f/1KlTOnjwoJo3b642bdooKSlJaWlpio2NVWxsrNLS0tSkSRONGjXKxtQAAKA%2B8/uCtX//fj3wwAOe/enTp0uSxo4dqzVr1mj27NkqLy/XU089paKiIvXs2VPbtm3jGVgAAOCqHJZlWXaHaOhKSkoUHh6u4uJiv75c6EsPvAMA1K3aeNConX9/uQcLAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwwLsDoBbE5%2Byxe4IAADgW1jBAgAAMIyCBQAAYBgFCwAAwDAK1g1asWKFYmJiFBISou7du2vXrl12RwIAAPUUBesGvPXWW0pKSlJKSoo%2B/PBD/fCHP9TgwYN15swZu6MBAIB6iIJ1AxYtWqSJEyfqySefVIcOHbRkyRJFR0crIyPD7mgAAKAe4jEN11FRUaHc3FzNnTvXazwxMVE5OTlXfI/b7Zbb7fbsFxcXS5JKSkqM56tyf2H8nAAA1LXa%2BBt5%2BZyWZRk/9/VQsK7j4sWLqqqqktPp9Bp3Op0qKCi44nvS09M1b968GuPR0dG1khEAAF8XvrD2zl1aWqrw8PDa%2BwFXQMG6QQ6Hw2vfsqwaY5clJydr%2BvTpnv3q6mr97//%2BryIiIq76nvqupKRE0dHRysvLU1hYmN1xjGqoc2uo85Ia7twa6rykhju3hjovqWHMzbIslZaWKjIyss5/NgXrOlq0aKFGjRrVWK0qLCyssap1WXBwsIKDg73Gbr/99lrLWJfCwsJ89j%2B062moc2uo85Ia7twa6rykhju3hjovyffnVtcrV5dxk/t1BAUFqXv37srKyvIaz8rKUkJCgk2pAABAfcYK1g2YPn26xowZo/j4ePXq1UuZmZk6c%2BaMJk%2BebHc0AABQDzVKTU1NtTtEfRcXF6eIiAilpaXplVdeUXl5ud5880117drV7mh1qlGjRurXr58CAhpeL2%2Boc2uo85Ia7twa6rykhju3hjovqWHPrbY5LDs%2BuwgAANCAcQ8WAACAYRQsAAAAwyhYAAAAhlGwAAAADKNg4Yalp6fL4XAoKSnJ7ihGnDt3TqNHj1ZERISaNGmie%2B65R7m5uXbHumVfffWVfvnLXyomJkaNGzfWnXfeqRdffFHV1dV2R7spO3fu1LBhwxQZGSmHw6FNmzZ5HbcsS6mpqYqMjFTjxo3Vr18/HTlyxKa0N%2Bdac6usrNScOXPUuXNnNW3aVJGRkXomNMNSAAAH0UlEQVTiiSd0/vx5GxPfuOv93r5p0qRJcjgcWrJkSR0m/G5uZF5Hjx7V8OHDFR4ertDQUN133306c%2BaMDWlvzvXmVlZWpqefflpRUVFq3LixOnTooIyMDJvS%2Bg4KFm7Ivn37lJmZqS5dutgdxYiioiL17t1bgYGB%2BvOf/6y///3vWrhwYYN44v7LL7%2Bs1157TcuXL9fRo0e1YMEC/eY3v9GyZcvsjnZTvvjiC3Xt2lXLly%2B/4vEFCxZo0aJFWr58ufbt2yeXy6WBAweqtLS0jpPevGvN7csvv9SBAwf0/PPP68CBA3r33Xd1/PhxDR8%2B3IakN%2B96v7fLNm3apL/97W%2B2fIXJd3G9eX3yySfq06eP2rdvrw8%2B%2BEAfffSRnn/%2BeYWEhNRx0pt3vblNmzZNW7Zs0bp163T06FFNmzZNU6dO1R//%2BMc6TupjLOA6SktLrdjYWCsrK8vq27ev9eyzz9od6ZbNmTPH6tOnj90xasWQIUOsCRMmeI2NGDHCGj16tE2Jbp0ka%2BPGjZ796upqy%2BVyWfPnz/eMXbp0yQoPD7dee%2B01OyJ%2BZ9%2Be25Xs3bvXkmSdPn26jlKZcbW5nT171rrjjjusw4cPW23btrUWL15sQ7rv7krzeuSRR3z6v7HLrjS3Tp06WS%2B%2B%2BKLX2L333mv98pe/rMtoPocVLFzXlClTNGTIEA0YMMDuKMZs3rxZ8fHxevjhh9WqVSt169ZNK1eutDuWEX369NFf/vIXHT9%2BXJL00Ucfaffu3frRj35kczJzTp06pYKCAiUmJnrGgoOD1bdvX%2BXk5NiYrHYUFxfL4XA0iBXW6upqjRkzRrNmzVKnTp3sjmNEdXW13n//fbVr106DBg1Sq1at1LNnz2teHvUlffr00ebNm3Xu3DlZlqUdO3bo%2BPHjGjRokN3R6jUKFq5pw4YNys3NVXp6ut1RjDp58qQyMjIUGxurrVu3avLkyXrmmWf0xhtv2B3tls2ZM0ePPfaY2rdvr8DAQHXr1k1JSUl67LHH7I5mzOUvX//2F647nc4aX8zu6y5duqS5c%2Bdq1KhRPv2Fu5e9/PLLCggI0DPPPGN3FGMKCwtVVlam%2BfPn66GHHtK2bdv005/%2BVCNGjFB2drbd8W7Z0qVL1bFjR0VFRSkoKEgPPfSQVqxYoT59%2BtgdrV7j2fe4qry8PD377LPatm2bT9xHcDOqq6sVHx%2BvtLQ0SVK3bt105MgRZWRk6IknnrA53a156623tG7dOq1fv16dOnXSwYMHlZSUpMjISI0dO9bueEY5HA6vfcuyaoz5ssrKSj366KOqrq7WihUr7I5zy3Jzc/Xqq6/qwIEDDer3dPkDJD/%2B8Y81bdo0SdI999yjnJwcvfbaa%2Brbt6%2Bd8W7Z0qVLtWfPHm3evFlt27bVzp079dRTT6l169YN6sqGaRQsXFVubq4KCwvVvXt3z1hVVZV27typ5cuXy%2B12q1GjRjYm/O5at26tjh07eo116NBBf/jDH2xKZM6sWbM0d%2B5cPfroo5Kkzp076/Tp00pPT28wBcvlckn6eiWrdevWnvHCwsIaq1q%2BqrKyUiNHjtSpU6f017/%2BtUGsXu3atUuFhYVq06aNZ6yqqkozZszQkiVL9Omnn9oX7ha0aNFCAQEBV/w3Zffu3TalMqO8vFzPPfecNm7cqCFDhkiSunTpooMHD%2BqVV16hYF0DBQtX1b9/fx06dMhrbPz48Wrfvr3mzJnjs%2BVKknr37q1jx455jR0/flxt27a1KZE5X375pW67zfvqf6NGjXzuMQ3XEhMTI5fLpaysLHXr1k2SVFFRoezsbL388ss2p7t1l8vViRMntGPHDkVERNgdyYgxY8bU%2BIM8aNAgjRkzRuPHj7cp1a0LCgpSjx49GuS/KZWVlaqsrGzw/6bUBgoWrio0NFRxcXFeY02bNlVERESNcV8zbdo0JSQkKC0tTSNHjtTevXuVmZmpzMxMu6PdsmHDhumll15SmzZt1KlTJ3344YdatGiRJkyYYHe0m1JWVqZ//OMfnv1Tp07p4MGDat68udq0aaOkpCSlpaUpNjZWsbGxSktLU5MmTTRq1CgbU9%2BYa80tMjJSP//5z3XgwAH993//t6qqqjz3lTVv3lxBQUF2xb4h1/u9fbssBgYGyuVy6e67767rqDflevOaNWuWHnnkEd1///164IEHtGXLFr333nv64IMP7At9g643t759%2B2rWrFlq3Lix2rZtq%2BzsbL3xxhtatGiRjal9gN0fY4RvaSiPabAsy3rvvfesuLg4Kzg42Grfvr2VmZlpdyQjSkpKrGeffdZq06aNFRISYt15551WSkqK5Xa77Y52U3bs2GFJqrGNHTvWsqyvH9Xwq1/9ynK5XFZwcLB1//33W4cOHbI39A261txOnTp1xWOSrB07dtgd/bqu93v7Nl95TMONzGvVqlXWD37wAyskJMTq2rWrtWnTJvsC34TrzS0/P98aN26cFRkZaYWEhFh33323tXDhQqu6utre4PWcw7Isqw56HAAAgN/gMQ0AAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAz7PwooF9Yl8oBFAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common2564550229802514434\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">10</td>\n",
       "        <td class=\"number\">51</td>\n",
       "        <td class=\"number\">12.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">8</td>\n",
       "        <td class=\"number\">41</td>\n",
       "        <td class=\"number\">10.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:80%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">11</td>\n",
       "        <td class=\"number\">39</td>\n",
       "        <td class=\"number\">9.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:76%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7</td>\n",
       "        <td class=\"number\">37</td>\n",
       "        <td class=\"number\">9.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:72%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">12</td>\n",
       "        <td class=\"number\">35</td>\n",
       "        <td class=\"number\">8.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:68%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">13</td>\n",
       "        <td class=\"number\">33</td>\n",
       "        <td class=\"number\">8.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:65%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">9</td>\n",
       "        <td class=\"number\">31</td>\n",
       "        <td class=\"number\">7.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:61%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">14</td>\n",
       "        <td class=\"number\">30</td>\n",
       "        <td class=\"number\">7.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:59%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">15</td>\n",
       "        <td class=\"number\">24</td>\n",
       "        <td class=\"number\">6.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:47%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6</td>\n",
       "        <td class=\"number\">24</td>\n",
       "        <td class=\"number\">6.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:47%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (7)</td>\n",
       "        <td class=\"number\">50</td>\n",
       "        <td class=\"number\">12.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:98%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme2564550229802514434\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">7</td>\n",
       "        <td class=\"number\">1.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6</td>\n",
       "        <td class=\"number\">24</td>\n",
       "        <td class=\"number\">6.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:65%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7</td>\n",
       "        <td class=\"number\">37</td>\n",
       "        <td class=\"number\">9.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">15</td>\n",
       "        <td class=\"number\">24</td>\n",
       "        <td class=\"number\">6.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">16</td>\n",
       "        <td class=\"number\">22</td>\n",
       "        <td class=\"number\">5.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:91%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">17</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">18</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">19</td>\n",
       "        <td class=\"number\">3</td>\n",
       "        <td class=\"number\">0.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_G2\">G2<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>17</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>4.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>10.714</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>19</td>\n",
       "                </tr>\n",
       "                <tr class=\"alert\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>3.3%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-7159424842469592288\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAzhJREFUeJzt3LtLI1EYhvF3wmJAnCCIXSZIQCsLi0UsBC2nULARBLHN3yBYWK2FiIWg2Fna2bpgayOmsJUo8RLECyIGFl1wM1u4ERbdb40wl8TnV3rJd9R5OBk9xgmCIFDEKpWKPM%2BLeiya3Pn5ubLZbKQzv0Q67Q/XdSU9f8GZTCaOJaCJVKtVeZ73ct1EKZZAHMeRJGUymZYO5Ovc94Y/p/jND2ElraF%2B3UQplkDwb0SVLKm4FwAkGTtIC2h012HHeT92EMBAIICBQAADgQAGAgEMBAIYCAQwEAhgIBDAQCCAgaMmnxAHIt%2BPHQQwEAhgIBDAQCCAgUAAA4EABgIBDAQCGAgEMBAIYCAQwEAggIHDig34yCE/NDd2EMBAIICBQAADgQAGAgEMBAIYCAQwEAhgIBDAwF/S8S6f9aWCPm0gHBsJXytElbhAWuGbitbBPQhgIBDAQCCAgUAAA4EABgIBDLH8mjcIAklStVp99b5fP380/HhvPc7/fGQOwvfWz7L%2Btvp1EyUniGFqpVKR53lRj0WTOz4%2BVj6fj3RmLIHUajVdXFzIdV05jhP1eDSZ%2B/t75XI53d3dqbOzM9LZsTzFSqVSymazcYxGE0ulor9l5iYdMBAIYCAQJF46ndb8/LzS6XTks2O5SQeaBTsIYCAQwEAgSJTHx0dNTEyor69PAwMD8n1fJycnkqTr62v5vq/e3l719/drd3c39PUQCBKnUCjo8PBQBwcHGhsbU6FQkCTNzs5qaGhIpVJJGxsbmp6e1tPTU6hr4SYdiVYsFjU1NaWjoyN1dHSoXC6ru7tbkjQ4OKjFxUWNjo6GNp8dBIm2srKi8fFx3d7eqlarvcQhST09PTo7Owt1fuJetAGoW1hYUKlU0vr6uh4eHl6d24viyQ87CBJpaWlJW1tb2t7eVnt7u7q6uiRJNzc3Lx9zenqqXC4X6joIBImzvLyszc1N7ezs/HV6d3JyUqurq5Kk/f19XV5eanh4ONS1cJOORKn/r1A%2Bn5frupKej5rs7e3p6upKMzMzKpfLamtr09ramkZGRkJdD4EABp5iAQYCAQwEAhgIBDAQCGAgEMBAIICBQADDb5ft2wQh8UbyAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-7159424842469592288,#minihistogram-7159424842469592288\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-7159424842469592288\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-7159424842469592288\"\n",
       "                                                  aria-controls=\"quantiles-7159424842469592288\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-7159424842469592288\" aria-controls=\"histogram-7159424842469592288\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-7159424842469592288\" aria-controls=\"common-7159424842469592288\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-7159424842469592288\" aria-controls=\"extreme-7159424842469592288\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-7159424842469592288\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>9</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>11</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>13</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>16.3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>19</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>19</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>3.7615</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.35109</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>0.62771</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>10.714</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>2.9421</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.43165</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>4232</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>14.149</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-7159424842469592288\">\n",
       "            <img 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p1qhYsWFCn/Y9//KOmT59%2B1uOMGDFCv/jFL9SzZ08NHTpU77zzjqQfAtwpLpcr5BhjTJ2202VmZsrv9we3srKys64HAAA4n2MD1ptvvqn%2B/fvXaR8wYIBWrlx53uO2bt1aPXv21J49e4LXZf14taqioqLOqtbp4uLilJCQELIBAIDI4diAdejQIbVp06ZOe0JCgg4dOnTe4wYCAX3%2B%2BedKTExUSkqKvF6v8vPzg/urq6tVUFCg1NTU8/4ZAADgwubYgHX55Zdr3bp1ddrXrVunlJSUsx5nxowZKigoUGlpqT766CPdfvvtqqysVHp6ulwulzIyMpSTk6PVq1dr586dmjBhglq1aqVx48ZZOR0AAHABcextGjIyMpSRkaFvv/1WgwcPliT95S9/0Zw5c/Tss8%2Be9TgHDhzQXXfdpUOHDqlDhw7q37%2B/tmzZoi5dukiSZs6cqWPHjunhhx/W4cOH1a9fP61fv17x8fFNMi8AAOB8LuPg75OZP3%2B%2BcnJy9PXXX0uSOnXqpOzsbN133302VxaqsrJSbrdbfr%2Bf67EASX2y1tpdAnBeip6%2Bye4ScA7s/Pvr2BUsSZoyZYqmTJmi8vJytWzZUhdffLHdJQEAADg7YJ2SmJhodwkAAABBjr3I/ZtvvtG9996rzp07q0WLFoqNjQ3ZAAAA7OLYFawJEyboyy%2B/1K9%2B9SslJiY2euNPAACA5uTYgLVx40Zt3LhR11xzjd2lAAAAhHDsW4SdOnVi1QoAAIQlxwas559/XpmZmTpw4IDdpQAAAIRw7FuE48ePV1VVlbp06aKEhATFxMSE7K%2BoqLCpMgAAEOkcG7Bmz55tdwkAAAD1cmzAmjhxot0lAAAA1Mux12BJ0l//%2BldlZ2dr/PjxwbcE169fr88//9zmygAAQCRzbMDatGmTunfvroKCAr3xxhs6cuSIJGnbtm369a9/bXN1AAAgkjk2YD3%2B%2BOPKzs7W%2B%2B%2B/H3Ln9sGDB2vLli02VgYAACKdYwPWp59%2Bqttvv71Oe8eOHfXNN9/YUBEAAMAPHBuwLr74Yvl8vjrt27dv1yWXXGJDRQAAAD9wbMAaO3asZs2apW%2B%2B%2BSZ4R/ePPvpIM2bM0D333GNzdQAAIJI5NmDl5OTI6/UqMTFRR44c0VVXXaXU1FT17dtXTz75pN3lAQCACObY%2B2DFxsZq5cqV%2BuKLL7Rt2zbV1tbq2muvVbdu3ewuDQAARDjHBqxTrrjiCl1xxRV2lwEAABDk2ID1D//wD43uf/nll5upEgAAgFCODVjl5eUhj2tqarRr1y5VVVXpxhtvtKkqAAAABwesf//3f6/TduLECT300EO68sorbagIAADgB479FGF9oqOjNWPGDD3zzDN2lwIAACLYBRWwJGnv3r2qqamxuwwAABDBHPsW4cyZM0MeG2NUXl6uNWvW6O6777apKgAAAAcHrA8//DDk8UUXXaQOHTpo9uzZeuCBB2yqCgAAwMEBa9OmTZaPmZubqyeeeEKPPfaY5s2bJ0kKBAKaMWOGXn/9dR07dkxDhgzRiy%2B%2BqE6dOln%2B8wEAwIXhgrsG63xt3bpVL7/8sq6%2B%2BuqQ9oyMDK1evVorVqzQ5s2bdeTIEY0cOVInT560qVIAABDuHLuC1bdv3%2BCXPJ/Jxx9/3Oj%2BI0eO6O6779aiRYv0u9/9Ltju9/u1ePFivfbaaxo6dKgkadmyZUpOTtaGDRs0fPjw858AAAC4YDl2BetnP/uZdu/eLWOM%2Bvfvr/79%2B0uSdu/erUGDBmn48OHB7UwmT56sW265JRiiTikuLlZNTY3S0tKCbUlJSerRo4cKCwsbHC8QCKiysjJkAwAAkcOxK1jfffedJk%2BerJycnJD2rKwsff311/qXf/mXsxpnxYoVKi4uVlFRUZ19Pp9PsbGxatOmTUi7x%2BORz%2BdrcMzc3Fz95je/OaufDwAALjyOXcF64403dO%2B999ZpnzBhgt58882zGqOsrEyPPfaY/vSnP6lFixZn/bONMY2%2BPZmZmSm/3x/cysrKznpsAADgfI4NWHFxcfW%2BTVdYWKi4uLizGqO4uFgVFRXq3bu3oqOjFR0drYKCAr3wwguKjo6Wx%2BNRdXW1Dh8%2BHHJcRUWFPB5Po7UlJCSEbAAAIHI49i3CRx99VA8%2B%2BKBKSkqC119t2bJFixYt0hNPPHFWYwwZMkQ7duwIabv33nvVrVs3Pf7440pOTlZMTIzy8/M1ZswYST98yfTOnTs1Z84caycEAAAuGI4NWFlZWUpJSdEf/vAHvfLKK5KkK6%2B8UosWLdK4cePOaoz4%2BHj16NEjpK1169Zq165dsH3ixImaPn262rVrp7Zt22rGjBnq2bNnnQviAQAATnFswJKkcePGnXWYOl/PP/%2B8oqOjNWbMmOCNRpcuXaqoqKgm/bkAAMC5XMYYY3cR56uyslKrVq3S3r17NXXqVLVp00affPKJOnbsqMTERLvLC6qsrJTb7Zbf7%2Bd6LEBSn6y1dpcAnJeip2%2ByuwScAzv//jp2BWvnzp0aOnSoWrVqpbKyMk2YMEFt2rTRG2%2B8oQMHDigvL8/uEgEAQIRy7KcIp06dqnHjxunLL78MucXCLbfcoo0bN9pYGQAAiHSOXcHaunWrFi5cWOd%2BVJdcconKy8ttqgoAAMDBK1ixsbE6cuRInfY9e/aoffv2NlQEAADwA8cGrFGjRumf/umfdOLECUmSy%2BXSV199pVmzZmn06NE2VwcAACKZYwPWc889p4MHD8rr9erYsWMaPHiwLrvsMrVo0aLO9xMCAAA0J8deg%2BV2u1VYWKj8/Hxt27ZNtbW1uvbaazV8%2BPBGvycQAACgqTkyYNXU1Ojmm2/Wiy%2B%2BqLS0NKWlpdldEgAAQJAj3yKMiYlRSUkJK1UAACAsOTJgSdI999yjJUuW2F0GAABAHY58i/CUBQsWaMOGDerTp49at24dsm/OnDk2VQUAACKdYwNWcXGxrr76aknSp59%2BGrKPtw4BAICdHBew9u7dq5SUFG3atMnuUoCwwhcoA0D4cNw1WF27dtU333wTfHznnXfq66%2B/trEiAACAUI4LWMaYkMfvvvuujh49alM1AAAAdTkuYAEAAIQ7xwUsl8tV5yJ2LmoHAADhxHEXuRtjNGHCBMXFxUmSjh8/rgcffLDObRpWrVplR3kAAADOC1jp6ekhj%2B%2B55x6bKgEAAKif4wIWd28HAADhznHXYAEAAIQ7AhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxSI%2BYC1cuFBXX321EhISlJCQoAEDBujPf/5zcH8gENCUKVPUvn17tW7dWqNGjdKBAwdsrBgAAIS7iA9YnTp10uzZs1VUVKSioiINHjxYt912m3bt2iVJysjI0OrVq7VixQpt3rxZR44c0ciRI3Xy5EmbKwcAAOHKZYwxdhcRbtq2batnnnlGt99%2Buzp06KDXXntNd955pyTp4MGDSk5O1rvvvqvhw4ef1XiVlZVyu93y%2B/1KSEhoytIRwfpkrbW7BOCCV/T0TXaXgHNg59/fiF/BOt3Jkye1YsUKHT16VAMGDFBxcbFqamqUlpYW7JOUlKQePXqosLDQxkoBAEA4c9xX5TSFHTt2aMCAATp%2B/Lh%2B8pOfaPXq1brqqqu0fft2xcbGqk2bNiH9PR6PfD5fg%2BMFAgEFAoHg48rKyiarHQAAhB9WsCT99Kc/1fbt27VlyxY99NBDSk9P12effdZgf2OMXC5Xg/tzc3PldruDW3JyclOUDQAAwhQBS1JsbKz%2B5m/%2BRn369FFubq569eqlP/zhD/J6vaqurtbhw4dD%2BldUVMjj8TQ4XmZmpvx%2Bf3ArKytr6ikAAIAwQsCqhzFGgUBAvXv3VkxMjPLz84P7ysvLtXPnTqWmpjZ4fFxcXPC2D6c2AAAQOSL%2BGqwnnnhCI0aMUHJysqqqqrRixQp98MEHWrt2rdxutyZOnKjp06erXbt2atu2rWbMmKGePXtq6NChdpcOAADCVMQHrK%2B//lrjx49XeXm53G63rr76aq1du1bDhg2TJD3//POKjo7WmDFjdOzYMQ0ZMkRLly5VVFSUzZUDAIBwxX2wmgH3wUJz4D5YQNPjPljOwn2wAAAALiAELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAItFfMDKzc1V3759FR8fr44dO%2BrnP/%2B5du/eHdInEAhoypQpat%2B%2BvVq3bq1Ro0bpwIEDNlUMAADCXcQHrIKCAk2ePFlbtmxRfn6%2BTpw4obS0NB09ejTYJyMjQ6tXr9aKFSu0efNmHTlyRCNHjtTJkydtrBwAAISraLsLsNvatWtDHi9ZskQdO3ZUcXGxbrzxRvn9fi1evFivvfaahg4dKklatmyZkpOTtWHDBg0fPtyOsgEAQBiL%2BBWsH/P7/ZKktm3bSpKKi4tVU1OjtLS0YJ%2BkpCT16NFDhYWFttQIAADCW8SvYJ3OGKNp06bp%2BuuvV48ePSRJPp9PsbGxatOmTUhfj8cjn89X7ziBQECBQCD4uLKysumKBgAAYYcVrNM88sgj%2BvTTT/X666%2Bfsa8xRi6Xq959ubm5crvdwS05OdnqUgEAQBgjYP2vKVOmaM2aNXr//ffVqVOnYLvX61V1dbUOHz4c0r%2BiokIej6fesTIzM%2BX3%2B4NbWVlZk9YOAADCS8QHLGOMHnnkEa1atUrvvfeeUlJSQvb37t1bMTExys/PD7aVl5dr586dSk1NrXfMuLg4JSQkhGwAACByRPw1WJMnT9by5cv1b//2b4qPjw9eV%2BV2u9WyZUu53W5NnDhR06dPV7t27dS2bVvNmDFDPXv2DH6qEAAA4HQRH7AWLlwoSRo0aFBI%2B5IlSzRhwgRJ0vPPP6/o6GiNGTNGx44d05AhQ7R06VJFRUU1c7UAAMAJIj5gGWPO2KdFixaaP3%2B%2B5s%2Bf3wwVAQAAp4v4a7AAAACsFvErWAAAnK0%2BWWvP3CmMFD19k90lRCxWsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYtwHC2iA0%2B53AwAIH6xgAQAAWIyABQAAYDHeIgQA4ALlpEsdLrSv9WEFCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsxn2wHI57nAAAEH5YwQIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwWMQHrI0bN%2BrWW29VUlKSXC6X3n777ZD9xhhlZ2crKSlJLVu21KBBg7Rr1y6bqgUAAE4Q8QHr6NGj6tWrlxYsWFDv/jlz5mju3LlasGCBtm7dKq/Xq2HDhqmqqqqZKwUAAE4R8ffBGjFihEaMGFHvPmOM5s2bp6ysLI0ePVqSlJeXJ4/Ho%2BXLl2vSpEnNWSoAAHCIiF/Bakxpaal8Pp/S0tKCbXFxcRo4cKAKCwttrAwAAISziF/BaozP55MkeTyekHaPx6N9%2B/Y1eFwgEFAgEAg%2BrqysbJoCAQBAWGIF6yy4XK6Qx8aYOm2ny83NldvtDm7JyclNXSIAAAgjBKxGeL1eSf%2B3knVKRUVFnVWt02VmZsrv9we3srKyJq0TAACEFwJWI1JSUuT1epWfnx9sq66uVkFBgVJTUxs8Li4uTgkJCSEbAACIHBF/DdaRI0f0X//1X8HHpaWl2r59u9q2bavOnTsrIyNDOTk56tq1q7p27aqcnBy1atVK48aNs7FqAAAQziI%2BYBUVFelnP/tZ8PG0adMkSenp6Vq6dKlmzpypY8eO6eGHH9bhw4fVr18/rV%2B/XvHx8XaVDAAAwlzEB6xBgwbJGNPgfpfLpezsbGVnZzdfUQAAwNG4BgsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsA6Sy%2B%2B%2BKJSUlLUokUL9e7dW5s2bbK7JAAAEKYIWGdh5cqVysjIUFZWlkrJa0nvAAAL4ElEQVRKSnTDDTdoxIgR2r9/v92lAQCAMETAOgtz587VxIkTdf/99%2BvKK6/UvHnzlJycrIULF9pdGgAACEPRdhcQ7qqrq1VcXKxZs2aFtKelpamwsLDeYwKBgAKBQPCx3%2B%2BXJFVWVlpe38nAUcvHbCpNMf%2Bm5KR/WwBwuqb4G3FqTGOM5WOfCQHrDA4dOqSTJ0/K4/GEtHs8Hvl8vnqPyc3N1W9%2B85s67cnJyU1So1O4n7O7AgBAuGrKvxFVVVVyu91N9wPqQcA6Sy6XK%2BSxMaZO2ymZmZmaNm1a8HFtba3%2B%2B7//W%2B3atWvwmPNRWVmp5ORklZWVKSEhwbJxw0kkzFGKjHkyxwtHJMwzEuYoXfjzNMaoqqpKSUlJzf6zCVhn0L59e0VFRdVZraqoqKizqnVKXFyc4uLiQtouvvjiJqsxISHhgnxhnC4S5ihFxjyZ44UjEuYZCXOULux5NvfK1Slc5H4GsbGx6t27t/Lz80Pa8/PzlZqaalNVAAAgnLGCdRamTZum8ePHq0%2BfPhowYIBefvll7d%2B/Xw8%2B%2BKDdpQEAgDAUlZ2dnW13EeGuR48eateunXJycvTss8/q2LFjeu2119SrVy%2B7S1NUVJQGDRqk6OgLNytHwhylyJgnc7xwRMI8I2GOUuTMs7m5jB2fXQQAALiAcQ0WAACAxQhYAAAAFiNgAQAAWIyABQAAYDECVph78cUXlZKSohYtWqh3797atGlTo/3feustXXXVVYqLi9NVV12l1atXN1Ol5y43N1d9%2B/ZVfHy8OnbsqJ///OfavXt3o8csXbpULperznb8%2BPFmqvrcZWdn16nX6/U2ekxBQYF69%2B6tFi1a6LLLLtNLL73UTNWen0svvbTe8zJ58uR6%2BzvlPG7cuFG33nqrkpKS5HK59Pbbb4fsN8YoOztbSUlJatmypQYNGqRdu3adcdxzfV03pcbmWFNTo8cff1w9e/ZU69atlZSUpF/%2B8pc6ePBgo2Oez3O%2BKZ3pPE6YMKFOvf379z/juOH2%2B/ZM86zvNedyufTMM880OGa4nUsnIWCFsZUrVyojI0NZWVkqKSnRDTfcoBEjRmj//v319v/www915513avz48frkk080fvx4jRkzRh999FEzV352CgoKNHnyZG3ZskX5%2Bfk6ceKE0tLSdPRo41%2BynJCQoPLy8pCtRYsWzVT1%2BenevXtIvTt27Giwb2lpqW6%2B%2BWbdcMMNKikp0RNPPKFHH31Ub731VjNWfG62bt0aMr9TN%2Ba94447GjzGCefx6NGj6tWrlxYsWFDv/jlz5mju3LlasGCBtm7dKq/Xq2HDhqmqqqrBMc/1dd3UGpvj999/r23btunJJ5/Utm3btGrVKn3xxRcaNWrUGcc9l%2Bd8UzvTeZSkm266KaTed999t9Exw/H37Znm%2BePX2yuvvCKXy6Vf/OIXjY4bTufSUQzC1t/93d%2BZBx98MKStW7duZtasWfX2HzNmjLnppptC2oYPH27Gjh3bZDVaqaKiwkgyBQUFDfZZsmSJcbvdzVjV/99TTz1levXqddb9Z86cabp16xbSNmnSJNO/f3%2BrS2syjz32mLn88stNbW1tvfudeB4lmdWrVwcf19bWGq/Xa2bPnh1sO378uHG73eall15qcJxzfV03px/PsT4ff/yxkWT27dvXYJ9zfc43p/rmmJ6ebm677bZzGifcf9%2Bezbm87bbbzODBgxvtE87nMtyxghWmqqurVVxcrLS0tJD2tLQ0FRYW1nvMhx9%2BWKf/8OHDG%2Bwfbvx%2BvySpbdu2jfY7cuSIunTpok6dOmnkyJEqKSlpjvL%2BX/bs2aOkpCSlpKRo7Nix2rt3b4N9GzqPRUVFqqmpaepS/9%2Bqq6u1bNky3XfffY1%2BubkTz%2BPpSktL5fP5Qs5VXFycBg4c2OBr7nxe1%2BHG7/fL5XKd8ftVz%2BU5Hw4%2B%2BOADdezYUVdccYUeeOABVVRUNNrf6b9vv/76a73zzjuaOHHiGfs67VyGCwJWmDp06JBOnjxZ5wulPR5PnS%2BePsXn851T/3BijNG0adN0/fXXq0ePHg3269atm5YuXao1a9bo9ddfV4sWLXTddddpz549zVjtuenXr59effVVrVu3TosWLZLP51Nqaqq%2B/fbbevs3dB5PnDihQ4cONUfJ/y9vv/22vvvuO02YMKHBPk48jz926nV1Lq%2B583ldh5Pjx49r1qxZGjduXKNfDHyuz3m7jRgxQn/605/03nvv6bnnntPWrVs1ePBgBQKBBo9x8u9bScrLy1N8fLxGjx7daD%2Bnnctwwn3xw9yPVwCMMY2uCpxr/3DxyCOP6NNPP9XmzZsb7de/f/%2BQi0%2Bvu%2B46XXvttZo/f75eeOGFpi7zvIwYMSL43z179tSAAQN0%2BeWXKy8vT9OmTav3mPrOY33t4Wjx4sUaMWKEkpKSGuzjxPPYkPN5zTnxdVpTU6OxY8eqtrZWL774YqN9z%2Bc5b6c777wz%2BN89evRQnz591KVLF73zzjuNBhAnnsdTXnnlFd19991nvO7RaecynBCwwlT79u0VFRVV5/%2BGKioq6vxf0yler/ec%2BoeLKVOmaM2aNdq4caM6dep0TsdedNFF6tu3r6NWPlq3bq2ePXs2WHND5zE6Olrt2rVrjhLP2759%2B7RhwwatWrXqnI5z4nk89Ukqn8%2BnxMTEYHtjr7nzeV2Hg5qaGo0ZM0alpaV67733Gl29qs%2BZnvPhJjExUV26dGm0Xqf%2BvpWkTZs2affu3Vq5cuU5H%2Bu0c2kn3iIMU7Gxserdu3fw01in5OfnKzU1td5jBgwYUKf/%2BvXrG%2BxvN2OMHnnkEa1atUrvvfeeUlJSzmuM7du3h/yBC3eBQECff/55gzU3dB779OmjmJiY5ijxvC1ZskQdO3bULbfcck7HOfE8pqSkyOv1hpyr6upqFRQUNPiaO5/Xtd1Ohas9e/Zow4YN5xXyz/ScDzfffvutysrKGq3Xab9vT7d48WL17t1bvXr1OudjnXYubWXX1fU4sxUrVpiYmBizePFi89lnn5mMjAzTunVr89e//tUYY8z48eNDPnn0H//xHyYqKsrMnj3bfP7552b27NkmOjrabNmyxa4pNOqhhx4ybrfbfPDBB6a8vDy4ff/998E%2BP55jdna2Wbt2rfnyyy9NSUmJuffee010dLT56KOP7JjCWZk%2Bfbr54IMPzN69e82WLVvMyJEjTXx8fPA8zpo1y4wfPz7Yf%2B/evaZVq1Zm6tSp5rPPPjOLFy82MTEx5l//9V/tmsJZOXnypOncubN5/PHH6%2Bxz6nmsqqoyJSUlpqSkxEgyc%2BfONSUlJcFP0M2ePdu43W6zatUqs2PHDnPXXXeZxMREU1lZGRxj8ODBZv78%2BcHHZ3pdN7fG5lhTU2NGjRplOnXqZLZv3x7yOg0EAsExfjzHMz3nm1tjc6yqqjLTp083hYWFprS01Lz//vtmwIAB5pJLLgk5j074fXum56sxxvj9ftOqVSuzcOHCescI93PpJASsMPfHP/7RdOnSxcTGxpprr7025BYGAwcONOnp6SH933zzTfPTn/7UxMTEmG7dupm33nqrmSs%2Be5Lq3ZYsWRLs8%2BM5ZmRkmM6dO5vY2FjToUMHk5aWZgoLC5u/%2BHNw5513msTERBMTE2OSkpLM6NGjza5du4L709PTzcCBA0OO%2BeCDD8w111xjYmNjzaWXXtrgL8Nwsm7dOiPJ7N69u84%2Bp57H999/v97n6Km51NbWmqeeesp4vV4TFxdnbrzxRrNjx46QMbp06WKeeuqpkLbGXtfNrbE5lpaWNvg6ff/994Nj/HiOZ3rON7fG5vj999%2BbtLQ006FDBxMTE2M6d%2B5s0tPTzf79%2B0PGcMLv2zM9X40x5p//%2BZ9Ny5YtzXfffVfvGOF%2BLp3EZcz/Xj0LAAAAS3ANFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAW%2Bx%2Bvduz0sJVb1wAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-7159424842469592288\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">9</td>\n",
       "        <td class=\"number\">50</td>\n",
       "        <td class=\"number\">12.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:82%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">10</td>\n",
       "        <td class=\"number\">46</td>\n",
       "        <td class=\"number\">11.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:75%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">12</td>\n",
       "        <td class=\"number\">41</td>\n",
       "        <td class=\"number\">10.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:67%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">13</td>\n",
       "        <td class=\"number\">37</td>\n",
       "        <td class=\"number\">9.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:61%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">11</td>\n",
       "        <td class=\"number\">35</td>\n",
       "        <td class=\"number\">8.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:57%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">15</td>\n",
       "        <td class=\"number\">34</td>\n",
       "        <td class=\"number\">8.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:56%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">8</td>\n",
       "        <td class=\"number\">32</td>\n",
       "        <td class=\"number\">8.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:52%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">14</td>\n",
       "        <td class=\"number\">23</td>\n",
       "        <td class=\"number\">5.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7</td>\n",
       "        <td class=\"number\">21</td>\n",
       "        <td class=\"number\">5.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">15</td>\n",
       "        <td class=\"number\">3.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (7)</td>\n",
       "        <td class=\"number\">61</td>\n",
       "        <td class=\"number\">15.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-7159424842469592288\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">13</td>\n",
       "        <td class=\"number\">3.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:62%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">15</td>\n",
       "        <td class=\"number\">3.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:71%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6</td>\n",
       "        <td class=\"number\">14</td>\n",
       "        <td class=\"number\">3.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:67%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7</td>\n",
       "        <td class=\"number\">21</td>\n",
       "        <td class=\"number\">5.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">15</td>\n",
       "        <td class=\"number\">34</td>\n",
       "        <td class=\"number\">8.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">16</td>\n",
       "        <td class=\"number\">13</td>\n",
       "        <td class=\"number\">3.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">17</td>\n",
       "        <td class=\"number\">5</td>\n",
       "        <td class=\"number\">1.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">18</td>\n",
       "        <td class=\"number\">12</td>\n",
       "        <td class=\"number\">3.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">19</td>\n",
       "        <td class=\"number\">3</td>\n",
       "        <td class=\"number\">0.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow ignore\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_G3\"><s>G3</s><br/>\n",
       "            <small>Highly correlated</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <p><em>This variable is highly correlated with <a href=\"#pp_var_G2\"><code>G2</code></a> and should be ignored for analysis</em></p>\n",
       "</div>\n",
       "<div class=\"col-md-6\">\n",
       "    <table class=\"stats \">\n",
       "        <tr>\n",
       "            <th>Correlation</th>\n",
       "            <td>0.90487</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Medu\">Medu<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>2.7494</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>4</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.8%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-1589488762098523760\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAcFJREFUeJzt2zGq1GAYhtEvg21mAZdkF/ZWgnsSLAT3JFjZu4uEWUAGCwsnFjo2el/u4PCHeM8pJyRfAnn4Ccl067qu1dg8zzWOY%2Bux7Nw0TTUMQ9OZL5pO%2B6Xv%2B6r6ecHH43GLU2BHlmWpcRx/3zctbRJI13VVVXU8HgXyH3v59uPN%2B3z58ObRbdf7pqVD84mwIwKBQCAQCAQCgUAgEAgEAoFAIBAIBJu8Sedx9377zL%2BxgkBgBXmGrFJPZwWBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAie7de8vmjlKawgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAsMl/0td1raqqZVn%2B2Pbq/aebj/f53eub9/n%2B7evN%2B/ztfO%2BtxXm1uvZ7zbn%2Bdr1vWurWDabO81zjOLYey85N01TDMDSduUkgl8ulTqdT9X1fXde1Hs/OrOta5/O5Hh4e6nBo%2B1SwSSCwFx7SIRAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAh%2BAE1nYOGeiWBaAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-1589488762098523760,#minihistogram-1589488762098523760\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-1589488762098523760\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-1589488762098523760\"\n",
       "                                                  aria-controls=\"quantiles-1589488762098523760\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-1589488762098523760\" aria-controls=\"histogram-1589488762098523760\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-1589488762098523760\" aria-controls=\"common-1589488762098523760\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-1589488762098523760\" aria-controls=\"extreme-1589488762098523760\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-1589488762098523760\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>1.0947</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.39818</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.09</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>2.7494</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.95517</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.31838</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>1086</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>1.1984</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-1589488762098523760\">\n",
       "            <img 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EG3dulXh4eHG6gAAAIHDtgErPT1d6enp%2Bt///V/dddddkqQ///nPWrRokV544QVj5wkPD9fSpUu1dOlSr30cDocyMzOVmZlp7LwAACBw2TZgTZkyRWfOnFFWVpb%2B9V//VZLUo0cPvfTSS%2B7HdwAAAHZk24AlSTNnztTMmTNVVlamjh07qkuXLr4uCQAA4LJsHbAaxMbG%2BroEAACAZrPtzzScOHFCjzzyiHr27KmwsDCFhoZ6LAAAAHZl2ztYkydP1ieffKKf/exnio2N9fqr6QAAAHZj24C1Y8cO7dixQwMGDPB1KQAAAC1i20eEPXr04K4VAADwS7YNWC%2B%2B%2BKIyMjL0%2Beef%2B7oUAACAFrHtI8K0tDTV1NTouuuuU0REhEJCQjy2V1RU%2BKgyAACAS7NtwFqwYIGvSwAAALgitg1Yjz76qK9LAAAAuCK2fQdLkv72t78pMzNTaWlp7keCW7du1aFDh3xcGQAAgHe2DVg7d%2B7UTTfdpPz8fL355puqra2VJO3fv1/PPfecj6sDAADwzrYB6%2Bmnn1ZmZqa2b9/u8cvtd911l3bv3u3DygAAAC7NtgHrwIEDeuCBBxq1R0VF6cSJEz6oCAAAoHlsG7C6dOmi8vLyRu0lJSW69tprfVARAABA89g2YD344IOaN2%2BeTpw44f5F9z179uipp57Sww8/7OPqAAAAvLNtwMrKylJMTIxiY2NVW1urvn37atiwYRo8eLCeffZZX5cHAADglW1/Bys0NFQbNmzQkSNHtH//fl24cEG33nqrevfu7evSAAAALsm2AavBjTfeqBtvvNHXZQAAADSbbQPWY489dsntK1asaKNKAAAAWsa2AausrMxj/dy5czp48KBqamp0xx13%2BKgqAACAy7NtwPqP//iPRm3nz5/XT3/6U/Xp08cHFQEAADSPbb9F2JTg4GA99dRT%2BtWvfuXrUgAAALzyq4AlSZ9%2B%2BqnOnTvn6zIAAAC8su0jwrlz53qsW5alsrIybdmyRQ899JCPqgIAALg82wasXbt2eax36NBB11xzjRYsWKApU6b4qCoAAIDLs23A2rlzp69LAAAAuCJ%2B9w4WAACA3dn2DtbgwYPdf%2BT5cvbu3dvK1QAAADSfbQPWnXfeqVdffVU33nijkpKSJEm7d%2B/W4cOHNXXqVDmdTh9XCAAA0DTbBqyvvvpKM2bMUFZWlkf7/Pnz9eWXX%2Bq3v/2tjyoDAAC4NNu%2Bg/Xmm2/qkUceadQ%2BefJkvfXWWz6oCAAAoHlsG7CcTqcKCgoatRcUFPB4EAAA2JptHxHOmjVL06ZNU3FxsYYOHSrpm3ewVq5cqWeeecbH1QEAAHhn24A1f/58JSQk6Ne//rVef/11SVKfPn20cuVKpaam%2Brg6AAAA72z7iFCSUlNTtWfPHlVXV6u6ulp79uxplXD1xRdf6OGHH1a3bt3UqVMnfe9731NRUZF7u2VZyszMVFxcnDp27Kjk5GQdPHjQeB0AACAw2DpgVVdXa/Xq1XruuedUWVkpSXr//fdVVlZm7ByVlZUaPny4QkJC9Kc//UkfffSRFi9erC5durj7LFq0SEuWLFFOTo727dunmJgY3X333aqpqTFWBwAACBy2fUT44YcfavTo0erUqZNKS0s1efJkde3aVW%2B%2B%2BaY%2B//xzrVmzxsh5Fi5cqPj4eK1atcrddv3117v/t2VZWrp0qebPn68JEyZIktasWaPo6GitW7dOU6dONVIHAAAIHLa9gzV79mylpqbqk08%2BUVhYmLv9vvvu044dO4ydZ8uWLRo0aJD%2B8R//UVFRURowYIBWrlzp3n706FGVl5crJSXF3eZ0OjVy5Mgmv%2BUoSXV1de7Hmg0LAABoP2wbsPbt26fp06c3%2BnM51157rdFHhJ9%2B%2BqmWL1%2BuxMREvfPOO5o2bZpmzZqlf/u3f5MklZeXS5Kio6M99ouOjnZvu1h2drZcLpd7iY%2BPN1YvAACwP9sGrNDQUNXW1jZq//jjj9W9e3dj57lw4YJuvfVWZWVlacCAAZo6daqmTJmi5cuXe/S7OOhZluX1byVmZGSoqqrKvZSWlhqrFwAA2J9tA9b48eP1y1/%2BUufPn5f0TcD54osvNG/ePPe7UCbExsaqb9%2B%2BHm19%2BvTRsWPHJEkxMTGS1OhuVUVFRaO7Wg2cTqciIiI8FgAA0H7Y9iX3xYsXa8yYMYqJidHp06d111136fjx4xo8eHCjv094NYYPH67Dhw97tB05ckTXXXedJCkhIUExMTHKy8vTgAEDJElnz55Vfn6%2BFi5caKwO2M%2Bg%2Bbm%2BLqFFCp8f4%2BsSAAB/Z9uA5XK5VFBQoLy8PO3fv9/9KO%2Bee%2B7x%2BmjuSsyePVvDhg1TVlaWJk6cqL1792rFihVasWKFpG/unKWnpysrK0uJiYlKTExUVlaWOnXqxA%2BeAgCAJtkyYJ07d0733nuvXn75ZaWkpHh8g8%2B0wYMHa/PmzcrIyNAvfvELJSQkaOnSpXrooYfcfebOnavTp09r%2BvTpqqys1JAhQ7R161aFh4e3Wl0AAMB/2TJghYSEqLi42OidqksZN26cxo0b53W7w%2BFQZmamMjMz26QeAADg32z7kvvDDz/s8eOfAAAA/sKWd7Aa5OTkaNu2bRo0aJA6d%2B7ssW3RokU%2BqgoAAODSbBuwioqKdMstt0iSDhw44LGtrR4dAgAAXAnbBaxPP/1UCQkJ2rlzp69LAQAAuCK2ewcrMTFRJ06ccK//6Ec/0pdffunDigAAAFrGdgHLsiyP9f/6r//SqVOnfFQNAABAy9kuYAEAAPg72wUsh8PR6CV2XmoHAAD%2BxHYvuVuWpcmTJ8vpdEqSzpw5o2nTpjX6mYZNmzb5ojwAAIDLsl3AmjRpksf6ww8/7KNKAAAAroztAha/3g4AAPyd7d7BAgAA8HcELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDAC1rdkZ2fL4XAoPT3d3VZXV6eZM2eqe/fu6ty5s8aPH6/PP//ch1UCAAC7I2D93b59%2B7RixQrdcsstHu3p6enavHmz1q9fr/fee0%2B1tbUaN26c6uvrfVQpAACwOwKWpNraWj300ENauXKlunbt6m6vqqrSa6%2B9psWLF2v06NEaMGCA1q5dqw8%2B%2BEDbtm3zYcUAAMDOCFiSZsyYofvuu0%2BjR4/2aC8qKtK5c%2BeUkpLibouLi1O/fv1UUFDQ1mUCAAA/EezrAnxt/fr1KioqUmFhYaNt5eXlCg0N9birJUnR0dEqLy/3esy6ujrV1dW516urq80VDAAAbK9d38EqLS3VE088oTfeeENhYWHN3s%2ByLDkcDq/bs7Oz5XK53Et8fLyJcgEAgJ9o1wGrqKhIFRUVGjhwoIKDgxUcHKz8/Hy99NJLCg4OVnR0tM6ePavKykqP/SoqKhQdHe31uBkZGaqqqnIvpaWlrT0UAABgI%2B36EeGoUaP0wQcfeLQ98sgj6t27t55%2B%2BmnFx8crJCREeXl5mjhxoiSprKxMH374oRYtWuT1uE6nU06ns1VrBwAA9tWuA1Z4eLj69evn0da5c2d169bN3f7oo4/qySefVLdu3RQZGamnnnpKN998c6MX4gEAABq064DVHC%2B%2B%2BKKCg4M1ceJEnT59WqNGjdLq1asVFBTk69IAAIBNEbAu8u6773qsh4WFadmyZVq2bJlvCgIAAH6nXb/kDgAA0BoIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAY1u4DVnZ2tgYPHqzw8HBFRUXpBz/4gQ4fPuzRp66uTjNnzlT37t3VuXNnjR8/Xp9//rmPKgYAAHbX7gNWfn6%2BZsyYod27dysvL0/nz59XSkqKTp065e6Tnp6uzZs3a/369XrvvfdUW1urcePGqb6%2B3oeVAwAAuwr2dQG%2Blpub67G%2BatUqRUVFqaioSHfccYeqqqr02muv6Xe/%2B51Gjx4tSVq7dq3i4%2BO1bds23XPPPb4oGwAA2Fi7v4N1saqqKklSZGSkJKmoqEjnzp1TSkqKu09cXJz69eungoKCJo9RV1en6upqjwUAALQfBKxvsSxLc%2BbM0YgRI9SvXz9JUnl5uUJDQ9W1a1ePvtHR0SovL2/yONnZ2XK5XO4lPj6%2B1WsHAAD2QcD6lscff1wHDhzQ73//%2B8v2tSxLDoejyW0ZGRmqqqpyL6WlpaZLBQAANkbA%2BruZM2dqy5Yt2r59u3r06OFuj4mJ0dmzZ1VZWenRv6KiQtHR0U0ey%2Bl0KiIiwmMBAADtR7sPWJZl6fHHH9emTZv0l7/8RQkJCR7bBw4cqJCQEOXl5bnbysrK9OGHH2rYsGFtXS4AAPAD7f5bhDNmzNC6dev07//%2B7woPD3e/V%2BVyudSxY0e5XC49%2BuijevLJJ9WtWzdFRkbqqaee0s033%2Bz%2BViEAAMC3tfuAtXz5cklScnKyR/uqVas0efJkSdKLL76o4OBgTZw4UadPn9aoUaO0evVqBQUFtXG1AADAH7T7gGVZ1mX7hIWFadmyZVq2bFkbVAQAAPxdu38HCwAAwDQCFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCwYF8XgKszaH6ur0totsLnx/i6BAAA2gR3sAAAAAwjYAEAABhGwGqml19%2BWQkJCQoLC9PAgQO1c%2BdOX5cEAABsioDVDBs2bFB6errmz5%2Bv4uJi3X777Ro7dqyOHTvm69IAAIANEbCaYcmSJXr00Uf1z//8z%2BrTp4%2BWLl2q%2BPh4LV%2B%2B3NelAQAAG%2BJbhJdx9uxZFRUVad68eR7tKSkpKigoaHKfuro61dXVuderqqokSdXV1cbrq687ZfyYraU1xt%2Ba/Omzlfzv8/Un/LPQevhsW5c/fb6t8dk2HNOyLOPHvhwC1mWcPHlS9fX1io6O9miPjo5WeXl5k/tkZ2fr5z//eaP2%2BPj4VqnRX7gW%2B7qCwMbniwb8s9B6%2BGxbT2t%2BtjU1NXK5XK13giYQsJrJ4XB4rFuW1aitQUZGhubMmeNev3Dhgv7v//5P3bp187rPlaiurlZ8fLxKS0sVERFh7Li%2BFqjjkgJ3bIE6Lomx%2BaNAHZcUuGNrrXFZlqWamhrFxcUZO2ZzEbAuo3v37goKCmp0t6qioqLRXa0GTqdTTqfTo61Lly6tVmNERERAXWgNAnVcUuCOLVDHJTE2fxSo45ICd2ytMa62vnPVgJfcLyM0NFQDBw5UXl6eR3teXp6GDRvmo6oAAICdcQerGebMmaO0tDQNGjRISUlJWrFihY4dO6Zp06b5ujQAAGBDQZmZmZm%2BLsLu%2BvXrp27duikrK0svvPCCTp8%2Brd/97nfq37%2B/r0tTUFCQkpOTFRwcWFk5UMclBe7YAnVcEmPzR4E6LilwxxZo43JYvvjuIgAAQADjHSwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsCyuZdfflkJCQkKCwvTwIEDtXPnzkv237hxo/r27Sun06m%2Bfftq8%2BbNbVRpy7RkXKtXr5bD4Wi0nDlzpg0rvrwdO3bo/vvvV1xcnBwOh95%2B%2B%2B3L7pOfn6%2BBAwcqLCxM3/3ud/XKK6%2B0QaUt19Kxvfvuu03O2f/8z/%2B0UcXNk52drcGDBys8PFxRUVH6wQ9%2BoMOHD192P3%2B4zq5kbP5wrS1fvly33HKL%2Bwcpk5KS9Kc//emS%2B/jDfEktH5s/zFdTsrOz5XA4lJ6efsl%2B/jJv3hCwbGzDhg1KT0/X/PnzVVxcrNvEidyYAAAHTElEQVRvv11jx47VsWPHmuy/a9cu/ehHP1JaWpref/99paWlaeLEidqzZ08bV35pLR2X9M2v%2B5aVlXksYWFhbVj15Z06dUr9%2B/dXTk5Os/ofPXpU9957r26//XYVFxfrmWee0axZs7Rx48ZWrrTlWjq2BocPH/aYs8TExFaq8Mrk5%2BdrxowZ2r17t/Ly8nT%2B/HmlpKTo1CnvfyDXX66zKxmbZP9rrUePHlqwYIEKCwtVWFiou%2B66S9///vd18ODBJvv7y3xJLR%2BbZP/5uti%2Bffu0YsUK3XLLLZfs50/z5pUF27rtttusadOmebT17t3bmjdvXpP9J06caI0ZM8aj7Z577rEefPDBVqvxSrR0XKtWrbJcLldblGaMJGvz5s2X7DN37lyrd%2B/eHm1Tp061hg4d2pqlXbXmjG379u2WJKuysrKNqjKjoqLCkmTl5%2Bd77eMv19nFmjM2f7zWLMuyunbtav32t79tcpu/zleDS43N3%2BarpqbGSkxMtPLy8qyRI0daTzzxhNe%2B/j5vlmVZ3MGyqbNnz6qoqEgpKSke7SkpKSooKGhyn127djXqf88993jt7wtXMi5Jqq2t1XXXXacePXpo3LhxKi4ubu1SW523%2BSosLNS5c%2Bd8VJVZAwYMUGxsrEaNGqXt27f7upzLqqqqkiRFRkZ67eMP11lTmjM2yb%2Butfr6eq1fv16nTp1SUlJSk338db6aMzbJv%2BZrxowZuu%2B%2B%2BzR69OjL9vXXefs2ApZNnTx5UvX19Y3%2BoHR0dHSjPzzdoLy8vEX9feFKxtW7d2%2BtXr1aW7Zs0e9//3uFhYVp%2BPDh%2Bvjjj9ui5Fbjbb7Onz%2BvkydP%2BqgqM2JjY7VixQpt3LhRmzZtUq9evTRq1Cjt2LHD16V5ZVmW5syZoxEjRqhfv35e%2B/nDdXax5o7NX661Dz74QN/5znfkdDo1bdo0bd68WX379m2yr7/NV0vG5i/zJUnr169XUVGRsrOzm9Xf3%2BatKYHxe/QBzOFweKxbltWo7Wr6%2B0pL6hw6dKiGDh3qXh8%2BfLhuvfVWLVu2TC%2B99FKr1tnamvocmmr3N7169VKvXr3c60lJSSotLdULL7ygO%2B64w4eVeff444/rwIEDeu%2B99y7b11%2BuswbNHZu/XGu9evVSSUmJvvrqK23cuFGTJk1Sfn6%2B1yDiT/PVkrH5y3yVlpbqiSee0NatW1v0fpg/zVtTuINlU927d1dQUFCjtF5RUdEo1TeIiYlpUX9fuJJxXaxDhw4aPHiwLf9fWkt4m6/g4GB169bNR1W1nqFDh9p2zmbOnKktW7Zo%2B/bt6tGjxyX7%2BsN19m0tGdvF7HqthYaG6h/%2B4R80aNAgZWdnq3///vr1r3/dZF9/m6%2BWjO1idp2voqIiVVRUaODAgQoODlZwcLDy8/P10ksvKTg4WPX19Y328bd5awoBy6ZCQ0M1cOBA5eXlebTn5eVp2LBhTe6TlJTUqP/WrVu99veFKxnXxSzLUklJiWJjY1ujxDbjbb4GDRqkkJAQH1XVeoqLi203Z5Zl6fHHH9emTZv0l7/8RQkJCZfdxx%2BuM%2BnKxtbUMfzhWrMsS3V1dU1u85f58uZSY2uqrx3na9SoUfrggw9UUlLiXgYNGqSHHnpIJSUlCgoKarSPv8%2BbJL5FaGfr16%2B3QkJCrNdee8366KOPrPT0dKtz587W3/72N8uyLCstLc3jm3f//d//bQUFBVkLFiywDh06ZC1YsMAKDg62du/e7ashNKml48rMzLRyc3OtTz75xCouLrYeeeQRKzg42NqzZ4%2BvhtCkmpoaq7i42CouLrYkWUuWLLGKi4utzz77zLIsy5o3b56Vlpbm7v/pp59anTp1smbPnm199NFH1muvvWaFhIRYf/jDH3w1BK9aOrYXX3zR2rx5s3XkyBHrww8/tObNm2dJsjZu3OirITTppz/9qeVyuax3333XKisrcy9ff/21u4%2B/XmdXMjZ/uNYyMjKsHTt2WEePHrUOHDhgPfPMM1aHDh2srVu3Wpblv/NlWS0fmz/MlzcXf4vQn%2BfNGwKWzf3mN7%2BxrrvuOis0NNS69dZbPb5iPXLkSGvSpEke/d966y2rV69eVkhIiNW7d2/b/QetQUvGlZ6ebvXs2dMKDQ21rrnmGislJcUqKCjwQdWX1vDTBBcvDWOZNGmSNXLkSI993n33XWvAgAFWaGiodf3111vLly9v%2B8KboaVjW7hwoXXDDTdYYWFhVteuXa0RI0ZYf/zjH31T/CU0NSZJ1qpVq9x9/PU6u5Kx%2BcO19pOf/MT9745rrrnGGjVqlDuAWJb/zpdltXxs/jBf3lwcsPx53rxxWNbf36oFAACAEbyDBQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAsP8HhvPCMxGpPL0AAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-1589488762098523760\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">131</td>\n",
       "        <td class=\"number\">33.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">103</td>\n",
       "        <td class=\"number\">26.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:78%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">99</td>\n",
       "        <td class=\"number\">25.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:75%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">59</td>\n",
       "        <td class=\"number\">14.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:45%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">3</td>\n",
       "        <td class=\"number\">0.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-1589488762098523760\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">3</td>\n",
       "        <td class=\"number\">0.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">59</td>\n",
       "        <td class=\"number\">14.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:45%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">103</td>\n",
       "        <td class=\"number\">26.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:78%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">99</td>\n",
       "        <td class=\"number\">25.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:75%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">131</td>\n",
       "        <td class=\"number\">33.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">3</td>\n",
       "        <td class=\"number\">0.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">59</td>\n",
       "        <td class=\"number\">14.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:45%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">103</td>\n",
       "        <td class=\"number\">26.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:78%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">99</td>\n",
       "        <td class=\"number\">25.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:75%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">131</td>\n",
       "        <td class=\"number\">33.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Mjob\">Mjob<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>5</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>1.3%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable7101098536428659532\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>other</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 35.7%\">\n",
       "            141\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>services</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:73%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 26.1%\">\n",
       "            103\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>at_home</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:42%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 14.9%\">\n",
       "            59\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"other\">\n",
       "    <th>Other values (2)</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:65%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 23.3%\">\n",
       "            92\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable7101098536428659532, #minifreqtable7101098536428659532\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable7101098536428659532\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">other</td>\n",
       "        <td class=\"number\">141</td>\n",
       "        <td class=\"number\">35.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">services</td>\n",
       "        <td class=\"number\">103</td>\n",
       "        <td class=\"number\">26.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:73%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">at_home</td>\n",
       "        <td class=\"number\">59</td>\n",
       "        <td class=\"number\">14.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:42%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">teacher</td>\n",
       "        <td class=\"number\">58</td>\n",
       "        <td class=\"number\">14.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:41%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">health</td>\n",
       "        <td class=\"number\">34</td>\n",
       "        <td class=\"number\">8.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Pstatus\">Pstatus<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable4042735529780143168\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>T</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 89.6%\">\n",
       "            354\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>A</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:12%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 10.4%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        41\n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable4042735529780143168, #minifreqtable4042735529780143168\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable4042735529780143168\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">T</td>\n",
       "        <td class=\"number\">354</td>\n",
       "        <td class=\"number\">89.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">A</td>\n",
       "        <td class=\"number\">41</td>\n",
       "        <td class=\"number\">10.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Walc\">Walc<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>2.2911</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>1</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-2242751749644765837\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAbhJREFUeJzt3EGOk2AYx%2BGXxi0coIFbeAjv5No7eQhvAekBaFy4sLjQupnJ35lEP4rzPMs24aWEXyh8Cd22bVs1tixLTdPUeiwHN89zjePYdOa7ptN%2B6fu%2Bqn7%2B4GEY9tgFDmRd15qm6fd509IugXRdV1VVwzA8CeT9x8%2Bv3t6XTx/%2Byn7x2O7nTUun5hPhQAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEu7y04RF4OQQv8WYDeVTCfSz%2BYkEgEAgEAoFAIBAIBAKBQCAQCAQCC4VvkMXIl3MFgUAgEAgEAoFAIBAIBAKBx7z8M//D42RXEAgEAoFAIBAIBAKBQCAQCASCXdZBtm2rqqp1XZ989/3b11dv77nt/EmrOa/VYr%2BOdozvn93Pm5a6bYepy7LUNE2tx3Jw8zzXOI5NZ%2B4SyO12q8vlUn3fV9d1rcdzMNu21fV6rfP5XKdT27uCXQKBo3CTDoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUDwA9oFZqT4yYWvAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-2242751749644765837,#minihistogram-2242751749644765837\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-2242751749644765837\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-2242751749644765837\"\n",
       "                                                  aria-controls=\"quantiles-2242751749644765837\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-2242751749644765837\" aria-controls=\"histogram-2242751749644765837\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-2242751749644765837\" aria-controls=\"common-2242751749644765837\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-2242751749644765837\" aria-controls=\"extreme-2242751749644765837\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-2242751749644765837\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>1.2879</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.56212</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.79085</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>2.2911</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>1.1124</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.61196</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>905</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>1.6587</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-2242751749644765837\">\n",
       "            <img 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83B1AAAAtbNtwJo4caLOnz%2BvjIwM/fKXv5QktW/fXgsXLtQTTzzh4eoAAABqZ9uAJUnTpk3TtGnTVFxcrJYtW6pNmzaeLgkAAOCGbB2wrgoPD/d0CQAAAHVm203uJ0%2Be1OOPP64OHTooICBALVq0cDsAAADsyrYrWBMmTNBXX32l559/XuHh4XI4HJ4uCQAAoE5sG7C2bNmiLVu2qHfv3p4uBQAAoF5s%2BxZh%2B/btWbUCAABeybYB64033lBaWpq%2B%2BeYbT5cCAABQL7Z9izApKUlnzpzRHXfcoaCgIDVv3tztemlpqYcqQ1PRd3aWp0uol7xXh3u6BADAX9k2YM2ZM8fTJQAAANwU2wasJ5980tMlAAAA3BTb7sGSpK%2B//lrp6elKSkpyvSW4YcMG7d%2B/38OVAQAA1M62AWvr1q3q1q2bcnJy9OGHH6qyslKStHv3br388sserg4AAKB2tg1YL7zwgtLT07Vp0ya3T25/4IEHtH37dg9WBgAAcH22DVh79uzRww8/XK09JCREJ0%2BeNPY6ly5d0j/90z8pKipKLVu21F133aVf/epXunLliquPZVlKT09XRESEWrZsqbi4OO3bt89YDQAAwLfYNmC1adNGJSUl1doLCwt1%2B%2B23G3uduXPn6re//a0WL16s/fv3a968efrnf/5nLVq0yNVn3rx5mj9/vhYvXqxdu3YpLCxMDz74oM6cOWOsDgAA4DtsG7DGjRunWbNm6eTJk65PdN%2BxY4eee%2B45Pfroo8ZeZ9u2bfrpT3%2BqkSNH6s4779TDDz%2Bs%2BPh45eXlSfp%2B9WrBggWaPXu2xowZo%2B7du2vlypX67rvvtHr1amN1AAAA32HbgJWRkaGwsDCFh4ersrJSXbt2VWxsrPr166eXXnrJ2OsMGjRIf/7zn3Xw4EFJ0ueff67PPvtMDz30kCTpyJEjKikpUXx8vOsef39/DR48WLm5ucbqAAAAvsO2n4PVokULffDBBzp48KB2796tK1eu6J577lHnzp2Nvs4LL7yg8vJyde7cWc2aNdPly5f16quv6h//8R8lyfU2ZWhoqNt9oaGhOnr0aI3PrKqqUlVVleu8oqLCaM0AAMDebBuwrurYsaM6duzYYM//4IMPtGrVKq1evVrdunVTYWGhUlJSFBERoeTkZFe/a7942rKsWr%2BMOjMzU6%2B88kqD1QygcfG1SQDqy7YB66mnnrru9aVLlxp5neeff16zZs3SuHHjJEk9evTQ0aNHlZmZqeTkZIWFhUn6fiUrPDzcdV9paWm1Va2r0tLSlJqa6jqvqKhQZGSkkXoBAID92TZgFRcXu51fvHhR%2B/bt05kzZ3TfffcZe53vvvtOt9zivhWtWbNmro9piIqKUlhYmLKzs9W7d29J0oULF5STk6O5c%2BfW%2BEx/f3/5%2B/sbqxEAAHgX2was//iP/6jWdunSJf3iF79Qly5djL3OqFGj9Oqrr6pDhw7q1q2bCgoKNH/%2BfD3xxBOSvn9rMCUlRRkZGYqOjlZ0dLQyMjLUqlUrJSYmGqsDAAD4DtsGrJr4%2BfnpueeeU1xcnNtbcH%2BLRYsW6aWXXtLkyZNVWlqqiIgITZo0ye3reGbOnKlz585p8uTJKisrU//%2B/bVhwwYFBgYaqQEAAPgWrwpYknT48GFdvHjR2PMCAwO1YMECLViwoNY%2BDodD6enpSk9PN/a6AADAd9k2YM2cOdPt3LIsFRcXa/369Ro/fryHqgIAALgx2wasbdu2uZ3fcsstuu222zRnzhxNnDjRQ1UBAADcmG0D1tatWz1dAgAAwE2x7VflAAAAeCvbrmD169ev1k9Kv9bOnTsbuBoAAIC6s23Auv/%2B%2B/X222%2BrY8eOiomJkSRt375dBw4c0KRJk/ggTwAAYFu2DVinT5/WlClTlJGR4dY%2Be/ZsnThxQr/73e88VBkAAMD12XYP1ocffqjHH3%2B8WvuECRP00UcfeaAiAACAurFtwPL391dubm619tzcXN4eBAAAtmbbtwinT5%2Bup59%2BWgUFBRowYICk7/dgLVu2TC%2B%2B%2BKKHqwMAAKidbQPW7NmzFRUVpTfffFPvvvuuJKlLly5atmwZX7IMAABszbYBS5ISExMJUwAAwOvYdg%2BWJFVUVGjFihV6%2BeWXVVZWJkn6/PPPVVxc7OHKAAAAamfbFawvvvhCQ4cOVatWrVRUVKQJEyaobdu2%2BvDDD/XNN99o5cqVni4RAACgRrZdwXr22WeVmJior776SgEBAa72kSNHasuWLR6sDAAA4Ppsu4K1a9cuLVmypNrX5dx%2B%2B%2B28RQgAAGzNtitYLVq0UGVlZbX2Q4cO6dZbb/VARQAAAHVj24A1evRo/frXv9alS5ckSQ6HQ99%2B%2B61mzZqlMWPGeLg6AACA2tk2YL3%2B%2Bus6fvy4wsLCdO7cOT3wwAO66667FBAQUO37CQEAAOzEtnuwnE6ncnNzlZ2drd27d%2BvKlSu65557NGzYsGr7sgAAAOzElgHr4sWLeuihh/TWW28pPj5e8fHxni4JAACgzmz5FmHz5s1VUFDAShUAAPBKtgxYkvToo49q%2BfLlni4DAACg3mz5FuFVixcv1saNG9W3b1%2B1bt3a7dq8efM8VBUAAMD12TZg5efnq2fPnpKkPXv2uF3jrUMAAGBntgtYhw8fVlRUlLZu3erpUgAAAG6K7fZgRUdH6%2BTJk67zRx55RCdOnPBgRQAAAPVju4BlWZbb%2BR//%2BEedPXvWQ9UAAADUn%2B0CFgAAgLezXcByOBzVNrE39Kb2b7/9Vo8%2B%2BqjatWunVq1a6cc//rHy8/Nd1y3LUnp6uiIiItSyZUvFxcVp3759DVoTAADwXrbb5G5ZliZMmCB/f39J0vnz5/X0009X%2B5iGTz75xMjrlZWVaeDAgbr//vv1pz/9SSEhIfrqq6/Upk0bV5958%2BZp/vz5WrFihTp27Kjf/OY3evDBB3XgwAEFBgYaqQMAAPgO2wWs5ORkt/NHH320QV9v7ty5ioyMdPtQ0zvvvNP1z5ZlacGCBZo9e7bGjBkjSVq5cqVCQ0O1evVqTZo0qUHrAwAA3sd2AauxP719/fr1GjZsmP7hH/5BOTk5uv322zV58mRNnDhRknTkyBGVlJS4fR%2Biv7%2B/Bg8erNzcXAIWAACoxnZ7sBrb4cOHtWTJEkVHR%2BvTTz/V008/renTp%2Bv3v/%2B9JKmkpESSFBoa6nZfaGio69q1qqqqVFFR4XYAAICmw3YrWI3typUr6tu3rzIyMiRJvXv31r59%2B7RkyRI99thjrn7XbrS3LKvWzfeZmZl65ZVXGq5oAABga01%2BBSs8PFxdu3Z1a%2BvSpYuOHTsmSQoLC5OkaqtVpaWl1Va1rkpLS1N5ebnrKCoqaoDKAQCAXTX5gDVw4EAdOHDAre3gwYO64447JElRUVEKCwtTdna26/qFCxeUk5Oj2NjYGp/p7%2B%2BvoKAgtwMAADQdTf4twmeffVaxsbHKyMjQ2LFjtXPnTi1dulRLly6V9P1bgykpKcrIyFB0dLSio6OVkZGhVq1aKTEx0cPVAwAAO2ryAatfv35au3at0tLS9Ktf/UpRUVFasGCBxo8f7%2Bozc%2BZMnTt3TpMnT1ZZWZn69%2B%2BvDRs28BlYAACgRk0%2BYElSQkKCEhISar3ucDiUnp6u9PT0xisKAAB4rSa/BwsAAMA0AhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhvFlzwAAj%2Bk7O8vTJdRL3qvDPV0CvAQrWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwfiAzM1MOh0MpKSmutqqqKk2bNk233nqrWrdurdGjR%2Bubb77xYJUAAMDuCFh/tWvXLi1dulQ9e/Z0a09JSdHatWu1Zs0affbZZ6qsrFRCQoIuX77soUoBAIDdEbAkVVZWavz48Vq2bJnatm3rai8vL9c777yj119/XUOHDlXv3r21atUq7d27Vxs3bvRgxQAAwM4IWJKmTJmikSNHaujQoW7t%2Bfn5unjxouLj411tERER6t69u3Jzc2t9XlVVlSoqKtwOAADQdPh5ugBPW7NmjfLz85WXl1ftWklJiVq0aOG2qiVJoaGhKikpqfWZmZmZeuWVV4zXCgAAvEOTXsEqKirSM888o/fff18BAQF1vs%2ByLDkcjlqvp6Wlqby83HUUFRWZKBcAAHiJJh2w8vPzVVpaqj59%2BsjPz09%2Bfn7KycnRwoUL5efnp9DQUF24cEFlZWVu95WWlio0NLTW5/r7%2BysoKMjtAAAATUeTDlhDhgzR3r17VVhY6Dr69u2r8ePHu/65efPmys7Odt1TXFysL774QrGxsR6sHAAA2FmT3oMVGBio7t27u7W1bt1a7dq1c7U/%2BeSTmjFjhtq1a6fg4GA999xz6tGjR7UN8QAAAFc16YBVF2%2B88Yb8/Pw0duxYnTt3TkOGDNGKFSvUrFkzT5cGAABsioB1jc2bN7udBwQEaNGiRVq0aJFnCgIAAF6nSe/BAgAAaAgELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYX6eLgAAADSMvrOzPF1CneW9OtzTJRjFChYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhjX5gJWZmal%2B/fopMDBQISEh%2BtnPfqYDBw649amqqtK0adN06623qnXr1ho9erS%2B%2BeYbD1UMAADsrskHrJycHE2ZMkXbt29Xdna2Ll26pPj4eJ09e9bVJyUlRWvXrtWaNWv02WefqbKyUgkJCbp8%2BbIHKwcAAHbl5%2BkCPC0ry/2bxpcvX66QkBDl5%2BfrvvvuU3l5ud555x299957Gjp0qCRp1apVioyM1MaNGzVs2DBPlA0AAGysya9gXau8vFySFBwcLEnKz8/XxYsXFR8f7%2BoTERGh7t27Kzc31yM1AgAAe2vyK1g/ZFmWUlNTNWjQIHXv3l2SVFJSohYtWqht27ZufUNDQ1VSUlLjc6qqqlRVVeU6r6ioaLiiAQCA7bCC9QNTp07Vnj179K//%2Bq837GtZlhwOR43XMjMz5XQ6XUdkZKTpUgEAgI0RsP5q2rRpWr9%2BvTZt2qT27du72sPCwnThwgWVlZW59S8tLVVoaGiNz0pLS1N5ebnrKCoqatDaAQCAvTT5gGVZlqZOnapPPvlEf/nLXxQVFeV2vU%2BfPmrevLmys7NdbcXFxfriiy8UGxtb4zP9/f0VFBTkdgAAgKajye/BmjJlilavXq1///d/V2BgoGtfldPpVMuWLeV0OvXkk09qxowZateunYKDg/Xcc8%2BpR48err8qBAAA%2BKEmH7CWLFkiSYqLi3NrX758uSZMmCBJeuONN%2BTn56exY8fq3LlzGjJkiFasWKFmzZo1crUAAMAbNPmAZVnWDfsEBARo0aJFWrRoUSNUBAAAvF2T34MFAABgGgELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNg1dFbb72lqKgoBQQEqE%2BfPtq6daunSwIAADZFwKqDDz74QCkpKZo9e7YKCgp07733asSIETp27JinSwMAADZEwKqD%2BfPn68knn9TPf/5zdenSRQsWLFBkZKSWLFni6dIAAIAN%2BXm6ALu7cOGC8vPzNWvWLLf2%2BPh45ebm1nhPVVWVqqqqXOfl5eWSpIqKCuP1Xa46a/yZDaUhxt%2BQvOlnK3nfz9eb8O9Cw%2BFn27C86efbED/bq8%2B0LMv4s2%2BEgHUDp06d0uXLlxUaGurWHhoaqpKSkhrvyczM1CuvvFKtPTIyskFq9BbO1z1dgW/j54ur%2BHeh4fCzbTgN%2BbM9c%2BaMnE5nw71ADQhYdeRwONzOLcvK6aRNAAAJg0lEQVSq1nZVWlqaUlNTXedXrlzR//3f/6ldu3a13nMzKioqFBkZqaKiIgUFBRl7rqf56rgk3x2br45LYmzeyFfHJfnu2BpqXJZl6cyZM4qIiDD2zLoiYN3ArbfeqmbNmlVbrSotLa22qnWVv7%2B//P393dratGnTYDUGBQX51H9oV/nquCTfHZuvjktibN7IV8cl%2Be7YGmJcjb1ydRWb3G%2BgRYsW6tOnj7Kzs93as7OzFRsb66GqAACAnbGCVQepqalKSkpS3759FRMTo6VLl%2BrYsWN6%2BumnPV0aAACwoWbp6enpni7C7rp376527dopIyNDr732ms6dO6f33ntPvXr18nRpatasmeLi4uTn51tZ2VfHJfnu2Hx1XBJj80a%2BOi7Jd8fma%2BNyWJ7420UAAAAfxh4sAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAsqktW7Zo1KhRioiIkMPh0Lp16254T05Ojvr06aOAgADddddd%2Bu1vf9sIldZffce2efNmORyOasf//M//NFLFdZOZmal%2B/fopMDBQISEh%2BtnPfqYDBw7c8L6PP/5YXbt2lb%2B/v7p27aq1a9c2QrV1dzPjWrFiRY1zdv78%2BUaqum6WLFminj17uj7cMCYmRn/605%2Bue4/d5%2Buq%2Bo7NW%2BbsWpmZmXI4HEpJSbluP2%2BZt6vqMi5vmbP09PRqNYaFhV33Hm/5fXY9BCybOnv2rHr16qXFixfXqf%2BRI0f00EMP6d5771VBQYFefPFFTZ8%2BXR9//HEDV1p/9R3bVQcOHFBxcbHriI6ObqAKb05OTo6mTJmi7du3Kzs7W5cuXVJ8fLzOnq39y1a3bdumRx55RElJSfr888%2BVlJSksWPHaseOHY1Y%2BfXdzLik7z%2BR%2BYfzVVxcrICAgEaqum7at2%2BvOXPmKC8vT3l5eXrggQf005/%2BVPv27auxvzfM11X1HZvkHXP2Q7t27dLSpUvVs2fP6/bzpnmT6j4uyXvmrFu3bm417t27t9a%2B3vT77Los2J4ka%2B3atdftM3PmTKtz585ubZMmTbIGDBjQkKX9zeoytk2bNlmSrLKyskaqyozS0lJLkpWTk1Nrn7Fjx1rDhw93axs2bJg1bty4hi7vptVlXMuXL7ecTmcjVmVO27Ztrd/97nc1XvPG%2Bfqh643N2%2BbszJkzVnR0tJWdnW0NHjzYeuaZZ2rt603zVp9xecuc/fKXv7R69epV5/7e%2BvvsWqxg%2BYht27YpPj7erW3YsGHKy8vTxYsXPVSVWb1791Z4eLiGDBmiTZs2ebqcGyovL5ckBQcH19qntnnLzc1t0Nr%2BFnUZlyRVVlbqjjvuUPv27ZWQkKCCgoLGKO%2BmXb58WWvWrNHZs2cVExNTYx9vnC%2BpbmOTvGvOpkyZopEjR2ro0KE37OtN81afcUneM2eHDh1SRESEoqKiNG7cOB0%2BfLjWvr7y%2B8w3Pi4VKikpqfbl06Ghobp06ZJOnTql8PBwD1X2twsPD9fSpUvVp08fVVVV6b333tOQIUO0efNm3XfffZ4ur0aWZSk1NVWDBg1S9%2B7da%2B1X27xd%2B%2BXidlHXcXXu3FkrVqxQjx49VFFRoTfffFMDBw7U559/bru3dvfu3auYmBidP39eP/rRj7R27Vp17dq1xr7eNl/1GZs3zdmaNWuUn5%2BvvLy8OvX3lnmr77i8Zc769%2B%2Bv3//%2B9%2BrYsaNOnDih3/zmN4qNjdW%2BffvUrl27av195fcZAcuHOBwOt3Prrx/Sf227t%2BnUqZM6derkOo%2BJiVFRUZFee%2B012wasqVOnas%2BePfrss89u2LemebPrnNV1XAMGDNCAAQNc5wMHDtQ999yjRYsWaeHChQ1dZr106tRJhYWFOn36tD7%2B%2BGMlJycrJyen1iDiTfNVn7F5y5wVFRXpmWee0YYNG%2Bq118ju83Yz4/KWORsxYoTrn3v06KGYmBjdfffdWrlypVJTU2u8xxd%2Bn/EWoY8ICwur9n9jpaWl8vPzq/H/ELzdgAEDdOjQIU%2BXUaNp06Zp/fr12rRpk9q3b3/dvrXN27X/92YH9RnXtW655Rb169fPlnPWokUL/d3f/Z369u2rzMxM9erVS2%2B%2B%2BWaNfb1pvqT6je1adp2z/Px8lZaWqk%2BfPvLz85Ofn59ycnK0cOFC%2Bfn56fLly9Xu8YZ5u5lxXcuuc3at1q1bq0ePHrXW6Su/zwhYPiImJkbZ2dlubRs2bFDfvn3VvHlzD1XVcAoKCmy3TGxZlqZOnapPPvlEf/nLXxQVFXXDe2qbt9jY2IYqs95uZlw1PaOwsNB2c1YTy7JUVVVV4zVvmK/rud7YauprxzkbMmSI9u7dq8LCQtfRt29fjR8/XoWFhWrWrFm1e7xh3m5mXNey65xdq6qqSvv376%2B1Tp/5feaJnfW4sTNnzlgFBQVWQUGBJcmaP3%2B%2BVVBQYB09etSyLMuaNWuWlZSU5Op/%2BPBhq1WrVtazzz5r/fd//7f1zjvvWM2bN7f%2B7d/%2BzVNDqFV9x/bGG29Ya9eutQ4ePGh98cUX1qxZsyxJ1scff%2BypIdToF7/4heV0Oq3NmzdbxcXFruO7775z9UlKSrJmzZrlOv%2Bv//ovq1mzZtacOXOs/fv3W3PmzLH8/Pys7du3e2IINbqZcaWnp1tZWVnWV199ZRUUFFiPP/645efnZ%2B3YscMTQ6hVWlqatWXLFuvIkSPWnj17rBdffNG65ZZbrA0bNliW5Z3zdVV9x%2BYtc1aTa//azpvn7YduNC5vmbMZM2ZYmzdvtg4fPmxt377dSkhIsAIDA62vv/7asizv/n12PQQsm7r60QTXHsnJyZZlWVZycrI1ePBgt3s2b95s9e7d22rRooV15513WkuWLGn8wuugvmObO3eudffdd1sBAQFW27ZtrUGDBll/%2BMMfPFP8ddQ0JknW8uXLXX0GDx7sGudVH330kdWpUyerefPmVufOnW0XHG9mXCkpKVaHDh2sFi1aWLfddpsVHx9v5ebmNn7xN/DEE09Yd9xxh6vOIUOGuAKIZXnnfF1V37F5y5zV5Nog4s3z9kM3Gpe3zNkjjzxihYeHW82bN7ciIiKsMWPGWPv27XNd9%2BbfZ9fjsKy/7hwDAACAEezBAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABg2P8De2WhtiG5IlEAAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-2242751749644765837\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">151</td>\n",
       "        <td class=\"number\">38.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">85</td>\n",
       "        <td class=\"number\">21.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:56%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">80</td>\n",
       "        <td class=\"number\">20.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:53%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">51</td>\n",
       "        <td class=\"number\">12.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">28</td>\n",
       "        <td class=\"number\">7.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-2242751749644765837\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">151</td>\n",
       "        <td class=\"number\">38.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">85</td>\n",
       "        <td class=\"number\">21.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:56%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">80</td>\n",
       "        <td class=\"number\">20.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:53%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">51</td>\n",
       "        <td class=\"number\">12.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">28</td>\n",
       "        <td class=\"number\">7.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">151</td>\n",
       "        <td class=\"number\">38.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">85</td>\n",
       "        <td class=\"number\">21.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:56%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">80</td>\n",
       "        <td class=\"number\">20.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:53%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">51</td>\n",
       "        <td class=\"number\">12.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">28</td>\n",
       "        <td class=\"number\">7.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_absences\">absences<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>34</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>8.6%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>5.7089</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>75</td>\n",
       "                </tr>\n",
       "                <tr class=\"alert\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>29.1%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram8737858017895320150\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAcNJREFUeJzt3bGq02AYx%2BE3xTW9gJJchODuJHhBboKD4OW4C07u3kVCL6DFweE0DlqXA39OpX4x8jxr2rxf4fuRhgzplmVZqrF5nmscx9Zj2bhpmmoYhqYznzWd9kvf91X18wfv9/s1lsCGnE6nGsfx975paZVAuq6rqqr9fv8okBdvP918vq8fXt9lXfzbrvumpV3zibAhAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFglVew3ZvXtvG3uIJAIBAIBAKBQCAQCAQCgUAgEPwXz0H%2BhGcnPIUrCAQCgWCVv1jLslRV1el0enTs4fu31st5sudvPt70%2BS/vXt084%2BX7zzd/59Y5LWbc03WfXPdNS92ywtR5nmscx9Zj2bhpmmoYhqYzVwnkcrnU8Xisvu%2Br67rW49mYZVnqfD7X4XCo3a7tXcEqgcBWuEmHQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIPgB/lBPnPNuWLkAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives8737858017895320150,#minihistogram8737858017895320150\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives8737858017895320150\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles8737858017895320150\"\n",
       "                                                  aria-controls=\"quantiles8737858017895320150\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram8737858017895320150\" aria-controls=\"histogram8737858017895320150\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common8737858017895320150\" aria-controls=\"common8737858017895320150\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme8737858017895320150\" aria-controls=\"extreme8737858017895320150\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles8737858017895320150\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>8</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>18.3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>75</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>75</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>8</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>8.0031</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>1.4019</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>21.719</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>5.7089</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>5.2026</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>3.6716</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>2255</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>64.05</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram8737858017895320150\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X9UVXW%2B//HXSeCoBCcR4cBAXq5jpqLeBK%2BClqaGMqLTeKdsLEYns5z8EaPeylwz6b2TuKzsx3LyllNqahdrpY6zUhQnQ11kKsr4I5fjpCkqiBYCMnpQ3N8/5uu5nUCl%2BuA%2BHJ6PtfZa7M/%2BnH3eb%2BXIy8/e5%2BCwLMsSAAAAjLnF7gIAAAACDQELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMCOmAtXLhQ3bt3V3h4uMLDw5WSkqL169d7j3s8Hk2ePFmRkZEKDQ3ViBEjdOLECZ9zHD9%2BXMOHD1doaKgiIyM1ZcoU1dTU3OxWAABAExLQASsuLk5z587Vrl27tGvXLg0cOFA//elPdeDAAUlSVlaWVq9erZycHG3btk3nz59XRkaGamtrJUm1tbUaNmyYqqurtW3bNuXk5OjDDz/UtGnT7GwLAAD4OYdlWZbdRdxMERERevHFF/Xzn/9c7dq107JlyzRq1ChJ0qlTpxQfH69169ZpyJAhWr9%2BvTIyMlRcXKzY2FhJUk5OjsaOHauysjKFh4c36DmvXLmiU6dOKSwsTA6Ho9F6AwAA/8eyLFVVVSk2Nla33HJz15SCbuqz2ai2tlYffPCBqqurlZKSosLCQl26dElpaWneObGxsUpMTFRBQYGGDBmiTz/9VImJid5wJUlDhgyRx%2BNRYWGh7r333nqfy%2BPxyOPxePdPnjypLl26NF5zAADgmoqLixUXF3dTnzPgA9a%2BffuUkpKiixcv6tZbb9Xq1avVpUsXFRUVKSQkRG3atPGZHx0drdLSUklSaWmpoqOjfY63adNGISEh3jn1yc7O1uzZs%2BuMFxcXN3jVCwAA/DCVlZWKj49XWFjYTX/ugA9YnTp1UlFRkc6dO6cPP/xQY8aMUX5%2B/jXnW5blcxmvvkt6357zbTNmzNDUqVO9%2B1f/gq/ebA8AAG4eO27PCfiAFRISoh//%2BMeSpOTkZO3cuVOvvfaaRo0apZqaGpWXl/usYpWVlSk1NVWS5Ha79dlnn/mcr7y8XJcuXaqzsvVNTqdTTqezEboBAABNQUC/i7A%2BlmXJ4/EoKSlJwcHBysvL8x4rKSnR/v37vQErJSVF%2B/fvV0lJiXfOxo0b5XQ6lZSUdNNrBwAATUNAr2A999xzSk9PV3x8vKqqqpSTk6NPPvlEubm5crlcGjdunKZNm6a2bdsqIiJC06dPV7du3TR48GBJUlpamrp06aLMzEy9%2BOKL%2BvrrrzV9%2BnSNHz%2BeS30AAOCaAjpgnT59WpmZmSopKZHL5VL37t2Vm5ur%2B%2B67T5L0yiuvKCgoSA8%2B%2BKAuXLigQYMGacmSJWrRooUkqUWLFvroo4/05JNPqm/fvmrVqpVGjx6tl156yc62AACAn2t2n4Nlh8rKSrlcLlVUVLDyBQDATWLnz99mdw8WAABAYyNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMC%2BoNGm4Pkmbl2l9Bgu14YancJAADcFKxgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADAsoANWdna2evXqpbCwMEVFRen%2B%2B%2B/XoUOHfOYMGDBADofDZ3vooYd85pSXlyszM1Mul0sul0uZmZk6d%2B7czWwFAAA0IQEdsPLz8zVx4kRt375deXl5unz5stLS0lRdXe0zb/z48SopKfFub775ps/x0aNHq6ioSLm5ucrNzVVRUZEyMzNvZisAAKAJCbK7gMaUm5vrs7948WJFRUWpsLBQ99xzj3e8devWcrvd9Z7j4MGDys3N1fbt29W7d29J0qJFi5SSkqJDhw6pU6dOjdcAAABokgJ6BevbKioqJEkRERE%2B4ytWrFBkZKS6du2q6dOnq6qqynvs008/lcvl8oYrSerTp49cLpcKCgpuTuEAAKBJCegVrG%2ByLEtTp05Vv379lJiY6B1/%2BOGHlZCQILfbrf3792vGjBn661//qry8PElSaWmpoqKi6pwvKipKpaWl9T6Xx%2BORx%2BPx7ldWVhruBgAA%2BLNmE7AmTZqkvXv3atu2bT7j48eP936dmJiojh07Kjk5Wbt371bPnj0lSQ6Ho875LMuqd1z65831s2fPNlg9AABoSprFJcLJkydr7dq12rx5s%2BLi4q47t2fPngoODtbhw4clSW63W6dPn64z78yZM4qOjq73HDNmzFBFRYV3Ky4u/uFNAACAJiOgA5ZlWZo0aZJWrVqljz/%2BWAkJCTd8zIEDB3Tp0iXFxMRIklJSUlRRUaEdO3Z453z22WeqqKhQampqvedwOp0KDw/32QAAQPMR0JcIJ06cqPfee09/%2BtOfFBYW5r1nyuVyqVWrVvriiy%2B0YsUK/eQnP1FkZKQ%2B//xzTZs2TXfddZf69u0rSercubOGDh2q8ePHez%2B%2B4fHHH1dGRgbvIAQAAPUK6BWshQsXqqKiQgMGDFBMTIx3W7lypSQpJCREf/nLXzRkyBB16tRJU6ZMUVpamjZt2qQWLVp4z7NixQp169ZNaWlpSktLU/fu3bVs2TK72gIAAH4uoFewLMu67vH4%2BHjl5%2Bff8DwRERFavny5qbIAAECAC%2BgVLAAAADsQsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADAvogJWdna1evXopLCxMUVFRuv/%2B%2B3Xo0CGfOR6PR5MnT1ZkZKRCQ0M1YsQInThxwmfO8ePHNXz4cIWGhioyMlJTpkxRTU3NzWwFAAA0IQEdsPLz8zVx4kRt375deXl5unz5stLS0lRdXe2dk5WVpdWrVysnJ0fbtm3T%2BfPnlZGRodraWklSbW2thg0bpurqam3btk05OTn68MMPNW3aNLvaAgAAfs5hWZZldxE3y5kzZxQVFaX8/Hzdc889qqioULt27bRs2TKNGjVKknTq1CnFx8dr3bp1GjJkiNavX6%2BMjAwVFxcrNjZWkpSTk6OxY8eqrKxM4eHhN3zeyspKuVwuVVRUNGj%2Bd5E8M9fo%2BRrTrheG2l0CAKAZacyfvzcS0CtY31ZRUSFJioiIkCQVFhbq0qVLSktL886JjY1VYmKiCgoKJEmffvqpEhMTveFKkoYMGSKPx6PCwsKbWD0AAGgqguwu4GaxLEtTp05Vv379lJiYKEkqLS1VSEiI2rRp4zM3OjpapaWl3jnR0dE%2Bx9u0aaOQkBDvnG/zeDzyeDze/crKSpOtAAAAP9dsVrAmTZqkvXv36n//939vONeyLDkcDu/%2BN7%2B%2B1pxvys7Olsvl8m7x8fHfv3AAANDkNIuANXnyZK1du1abN29WXFycd9ztdqumpkbl5eU%2B88vKyryrVm63u85KVXl5uS5dulRnZeuqGTNmqKKiwrsVFxcb7ggAAPizgA5YlmVp0qRJWrVqlT7%2B%2BGMlJCT4HE9KSlJwcLDy8vK8YyUlJdq/f79SU1MlSSkpKdq/f79KSkq8czZu3Cin06mkpKR6n9fpdCo8PNxnAwAAzUdA34M1ceJEvffee/rTn/6ksLAw70qUy%2BVSq1at5HK5NG7cOE2bNk1t27ZVRESEpk%2Bfrm7dumnw4MGSpLS0NHXp0kWZmZl68cUX9fXXX2v69OkaP348wQkAANQroAPWwoULJUkDBgzwGV%2B8eLHGjh0rSXrllVcUFBSkBx98UBcuXNCgQYO0ZMkStWjRQpLUokULffTRR3ryySfVt29ftWrVSqNHj9ZLL710M1sBAABNSLP6HCy78DlY/8TnYAEAbiY%2BBwsAACCAELAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMMxvA9by5ct18eJFu8sAAAD4zvw2YE2dOlVut1tPPPGEduzYYXc5AAAADea3AevUqVN65513VFJSon79%2Bqlr1656%2BeWXdebMGbtLAwAAuC6/DVhBQUEaOXKk1q5dq%2BPHj2vMmDF65513FBcXp5EjR%2Bqjjz6SZVl2lwkAAFCH3wasb3K73Ro0aJAGDBggh8OhXbt2afTo0erYsaO2bt1qd3kAAAA%2B/DpgnT17Vq%2B%2B%2Bqp69Oihvn37qqysTGvWrNGxY8d08uRJZWRk6Je//KXdZQIAAPgIsruAa/nZz36mdevWKSEhQY899pjGjBmjdu3aeY/feuutevrpp/X666/bWCUAAEBdfhuwwsPDtWnTJt19993XnBMTE6PDhw/fxKoAAABuzG8D1tKlS284x%2BFwqEOHDjehGgAAgIbz23uwfvOb32jBggV1xv/whz9o2rRpNlQEAADQMH4bsD744AP16dOnznhKSopWrlxpQ0UAAAAN47cB6%2BzZs2rTpk2d8fDwcJ09e9aGigAAABrGbwNWhw4dtGHDhjrjGzZsUEJCgg0VAQAANIzf3uSelZWlrKwsffXVVxo4cKAk6S9/%2BYvmzZunl156yebqAAAArs1vA9b48eN18eJFzZkzR88//7wkKS4uTq%2B//roeffRRm6sDAAC4Nr8NWJI0efJkTZ48WSUlJWrVqpVuu%2B02u0sCAAC4Ib8OWFfFxMTYXQIAAECD%2Be1N7mfOnNGvfvUr3X777WrZsqVCQkJ8NgAAAH/ltytYY8eO1RdffKH//M//VExMjBwOh90lAQAANIjfBqwtW7Zoy5Ytuuuuu%2BwuBQAA4Dvx20uEcXFxrFoBAIAmyW8D1iuvvKIZM2boxIkTdpcCAADwnfjtJcLMzExVVVWpffv2Cg8PV3BwsM/xsrIymyoDAAC4Pr8NWHPnzrW7BAAAgO/FbwPWuHHj7C4BAADge/Hbe7Ak6csvv9SsWbOUmZnpvSS4ceNGHTx40ObKAAAArs1vA9bWrVvVtWtX5efn6/3339f58%2BclSbt379bvfvc7m6sDAAC4Nr8NWM8884xmzZqlzZs3%2B3xy%2B8CBA7V9%2B3YbKwMAALg%2Bvw1Ye/fu1c9//vM641FRUTpz5owNFQEAADSM3was2267TaWlpXXGi4qK9KMf/ciGigAAABrGbwPWQw89pGeffVZnzpzxfqL7Z599punTp%2BuRRx5p0Dm2bNmi4cOHKzY2Vg6HQ2vWrPE5PnbsWDkcDp%2BtT58%2BPnM8Ho8mT56syMhIhYaGasSIEXz4KQAAuC6/DVhz5syR2%2B1WTEyMzp8/ry5duig1NVW9evXSb3/72wado7q6Wj169NCCBQuuOWfo0KEqKSnxbuvWrfM5npWVpdWrVysnJ0fbtm3T%2BfPnlZGRodra2h/UHwAACFx%2B%2BzlYISEhWrlypf72t79p9%2B7dunLlinr27Kk777yzwedIT09Xenr6dec4nU653e56j1VUVOjtt9/WsmXLNHjwYEnS8uXLFR8fr02bNmnIkCENbwgAADQbfhuwrrrjjjt0xx13NNr5P/nkE0VFRem2225T//799cILLygqKkqSVFhYqEuXLiktLc07PzY2VomJiSooKCBgAQCAevltwHr88ceve/ytt976wc%2BRnp6uBx54QO3bt9fRo0f129/%2BVgMHDlRhYaGcTqdKS0sVEhKiNm3a%2BDwuOjq63hvwr/J4PPJ4PN79ysrKH1wrAABoOvw2YJWUlPjsX7p0SQcOHFBVVZXuueceI88xatQo79eJiYlKTk5W%2B/bt9dFHH2nkyJHXfJxlWd4b7%2BuTnZ2t2bNnG6kRAAA0PX4bsP785z/XGbt8%2BbJ%2B/etfq3Pnzo3ynDExMWrfvr0OHz4sSXK73aqpqVF5ebnPKlZZWZlSU1OveZ4ZM2Zo6tSp3v3KykrFx8c3Ss0AAMD/%2BO27COsTFBSk6dOn68UXX2yU83/11VcqLi5WTEyMJCkpKUnBwcHKy8vzzikpKdH%2B/fuvG7CcTqfCw8N9NgAA0Hz47QrWtRw5ckSXLl1q0Nzz58/r73//u3f/6NGjKioqUkREhCIiIjRr1iz9x3/8h2JiYvTll1/queeeU2RkpH72s59Jklwul8aNG6dp06apbdu2ioiI0PTp09WtWzfvuwoBAAC%2BzW8D1tNPP%2B2zb1mWSkpKtHbtWj388MMNOseuXbt07733evevXrYbM2aMFi5cqH379undd9/VuXPnFBMTo3vvvVcrV65UWFiY9zGvvPKKgoKC9OCDD%2BrChQsaNGiQlixZohYtWhjoEgAABCKHZVmW3UXU5%2B677/bZv%2BWWW9SuXTsNHDhQ48ePV3BwsE2VfXeVlZVyuVyqqKgwfrkweWau0fM1pl0vDLW7BABAM9KYP39vxG9XsLZu3Wp3CQAAAN9Lk7rJHQAAoCnw2xWsXr16Xfezpr5px44djVwNAABAw/ltwLr33nv15ptv6o477lBKSookafv27Tp06JCeeOIJOZ1OmysEAACon98GrHPnzmnixImaM2eOz/jMmTN1%2BvRp/fGPf7SpMgAAgOvz23uw3n//ff3qV7%2BqMz527Fh98MEHNlQEAADQMH4bsJxOpwoKCuqMFxQUcHkQAAD4Nb%2B9RDhlyhRNmDBBe/bsUZ8%2BfST98x6sRYsW6bnnnrO5OgAAgGvz24A1c%2BZMJSQk6LXXXtM777wjSercubMWLVqk0aNH21wdAADAtfltwJKk0aNHE6YAAECT47f3YEn//Ij7JUuW6He/%2B53Ky8slSX/9619VUlJic2UAAADX5rcrWPv379fgwYPVunVrFRcXa%2BzYsWrTpo3ef/99nThxQkuXLrW7RAAAgHr57QrWb37zG40ePVpffPGFWrZs6R0fNmyYtmzZYmNlAAAA1%2Be3K1g7d%2B7UwoUL6/y6nB/96EdcIgQAAH7Nb1ewQkJCdP78%2BTrjhw8fVmRkpA0VAQAANIzfBqwRI0bov//7v3X58mVJksPh0MmTJ/Xss89q5MiRNlcHAABwbX4bsF5%2B%2BWWdOnVKbrdbFy5c0MCBA/Wv//qvatmyZZ3fTwgAAOBP/PYeLJfLpYKCAuXl5Wn37t26cuWKevbsqSFDhtS5LwsAAMCf%2BGXAunTpkn7yk5/ojTfeUFpamtLS0uwuCQAAoMH88hJhcHCw9uzZw0oVAABokvwyYEnSI488osWLF9tdBgAAwHfml5cIr1qwYIE2bdqk5ORkhYaG%2BhybN2%2BeTVUBAABcn98GrMLCQnXv3l2StHfvXp9jXDoEAAD%2BzO8C1pEjR5SQkKCtW7faXQoAAMD34nf3YHXs2FFnzpzx7o8aNUqnT5%2B2sSIAAIDvxu8ClmVZPvvr1q1TdXW1TdUAAAB8d34XsAAAAJo6vwtYDoejzk3s3NQOAACaEr%2B7yd2yLI0dO1ZOp1OSdPHiRU2YMKHOxzSsWrXKjvIAAABuyO8C1pgxY3z2H3nkEZsqAQAA%2BH78LmDx6e0AAKCp87t7sAAAAJo6AhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwI6YG3ZskXDhw9XbGysHA6H1qxZ43PcsizNmjVLsbGxatWqlQYMGKADBw74zCkvL1dmZqZcLpdcLpcyMzN17ty5m9kGAABoYgI6YFVXV6tHjx5asGBBvcfnzZun%2BfPna8GCBdq5c6fcbrfuu%2B8%2BVVVVeeeMHj1aRUVFys3NVW5uroqKipSZmXmzWgAAAE1QkN0FNKb09HSlp6fXe8yyLL366quaOXOmRo4cKUlaunSpoqOj9d577%2BmJJ57QwYMHlZubq%2B3bt6t3796SpEWLFiklJUWHDh1Sp06dblovAACg6QjoFazrOXr0qEpLS5WWluYdczqd6t%2B/vwoKCiRJn376qVwulzdcSVKfPn3kcrm8cwAAAL4toFewrqe0tFSSFB0d7TMeHR2tY8eOeedERUXVeWxUVJT38fXxeDzyeDze/crKShMlAwCAJqLZrmBd5XA4fPYty/IZ%2B/bx%2BuZ8W3Z2tvemeJfLpfj4eHMFAwAAv9dsA5bb7ZakOitRZWVl3lUtt9ut06dP13nsmTNn6qx8fdOMGTNUUVHh3YqLiw1WDgAA/F2zDVgJCQlyu93Ky8vzjtXU1Cg/P1%2BpqamSpJSUFFVUVGjHjh3eOZ999pkqKiq8c%2BrjdDoVHh7uswEAgOYjoO/BOn/%2BvP7%2B9797948ePaqioiJFRETo9ttvV1ZWlubMmaOOHTuqY8eOmjNnjlq3bq3Ro0dLkjp37qyhQ4dq/PjxevPNNyVJjz/%2BuDIyMngHIQAAuKaADli7du3Svffe692fOnWqJGnMmDFasmSJnn76aV24cEFPPvmkysvL1bt3b23cuFFhYWHex6xYsUJTpkzxvttwxIgR1/xcLQAAAElyWJZl2V1EoKusrJTL5VJFRYXxy4XJM3ONnq8x7XphqN0lAACakcb8%2BXsjzfYeLAAAgMZCwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwLsrsANB/JM3PtLuE72fXCULtLAAA0UaxgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAY1uwD1qxZs%2BRwOHw2t9vtPW5ZlmbNmqXY2Fi1atVKAwYM0IEDB2ysGAAA%2BLtmH7AkqWvXriopKfFu%2B/bt8x6bN2%2Be5s%2BfrwULFmjnzp1yu9267777VFVVZWPFAADAnxGwJAUFBcntdnu3du3aSfrn6tWrr76qmTNnauTIkUpMTNTSpUv1j3/8Q%2B%2B9957NVQMAAH9FwJJ0%2BPBhxcbGKiEhQQ899JCOHDkiSTp69KhKS0uVlpbmnet0OtW/f38VFBTYVS4AAPBzQXYXYLfevXvr3Xff1R133KHTp0/r97//vVJTU3XgwAGVlpZKkqKjo30eEx0drWPHjl3znB6PRx6Px7tfWVnZOMUDAAC/1OwDVnp6uvfrbt26KSUlRR06dNDSpUvVp08fSZLD4fB5jGVZdca%2BKTs7W7Nnz26cggEAgN/jEuG3hIaGqlu3bjp8%2BLD33YRXV7KuKisrq7Oq9U0zZsxQRUWFdysuLm7UmgEAgH8hYH2Lx%2BPRwYMHFRMTo4SEBLndbuXl5XmP19TUKD8/X6mpqdc8h9PpVHh4uM8GAACaj2Z/iXD69OkaPny4br/9dpWVlen3v/%2B9KisrNWbMGDkcDmVlZWnOnDnq2LGjOnbsqDlz5qh169YaPXq03aUDAAA/1ewD1okTJ/SLX/xCZ8%2BeVbt27dSnTx9t375d7du3lyQ9/fTTunDhgp588kmVl5erd%2B/e2rhxo8LCwmyuHAAA%2BCuHZVmW3UUEusrKSrlcLlVUVBi/XJg8M9fo%2BfB/dr0w1O4SAAA/QGP%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%2BrWksTe3fsKb0ZytJ/f8rz%2B4SGiz/d/cZP%2BfVvy/Lsoyf%2B0YIWDdw9uyS738BAAAJsklEQVRZ1dbWKjo62mc8OjpapaWl9T4mOztbs2fPrjMeHx/fKDUCwDe5Xra7gsDFn23jacw/26qqKrlcrsZ7gnoQsBrI4XD47FuWVWfsqhkzZmjq1Kne/StXrujrr79W27Ztr/mY76OyslLx8fEqLi5WeHi4sfP6G/oMLM2lT6n59EqfgSWQ%2BrQsS1VVVYqNjb3pz03AuoHIyEi1aNGizmpVWVlZnVWtq5xOp5xOp8/Ybbfd1mg1hoeHN/kXQUPQZ2BpLn1KzadX%2BgwsgdLnzV65uop3Ed5ASEiIkpKSlJfnex07Ly9PqampNlUFAAD8GStYDTB16lRlZmYqOTlZKSkpeuutt3T8%2BHFNmDDB7tIAAIAfajFr1qxZdhfh7xITE9W2bVvNmTNHL730ki5cuKBly5apR48edpemFi1aaMCAAQoKCuysTJ%2BBpbn0KTWfXukzsDSXPhuTw7LjvYsAAAABjHuwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBq4l64403lJCQoJYtWyopKUlbt261u6QfbMuWLRo%2BfLhiY2PlcDi0Zs0an%2BOWZWnWrFmKjY1Vq1atNGDAAB04cMCmar%2Bf7Oxs9erVS2FhYYqKitL999%2BvQ4cO%2BczxeDyaPHmyIiMjFRoaqhEjRujEiRM2Vfz9LVy4UN27d/d%2BWGFKSorWr1/vPR4ofX5Tdna2HA6HsrKyvGOB0uesWbPkcDh8Nrfb7T0eCK/Pq06ePKlHHnlEbdu2VevWrfVv//ZvKiws9B4PhF7/5V/%2Bpc7fp8Ph0MSJEyUFzvetnQhYTdDKlSuVlZWlmTNnas%2BePbr77ruVnp6u48eP213aD1JdXa0ePXpowYIF9R6fN2%2Be5s%2BfrwULFmjnzp1yu9267777VFVVdZMr/f7y8/M1ceJEbd%2B%2BXXl5ebp8%2BbLS0tJUXf1/v/A2KytLq1evVk5OjrZt26bz588rIyNDtbW1Nlb%2B3cXFxWnu3LnatWuXdu3apYEDB%2BqnP/2p9wdRoPR51c6dO/XWW2%2Bpe/fuPuOB1GfXrl1VUlLi3fbt2%2Bc9FgivT0kqLy9X3759FRwcrPXr1%2Bvzzz/Xyy%2B/7PPbOAKh1507d/r8XV79MO0HHnhAUmB939rGQpPz7//%2B79aECRN8xu68807r2Weftaki8yRZq1ev9u5fuXLFcrvd1ty5c71jFy9etFwul/U///M/dpRoRFlZmSXJys/PtyzLss6dO2cFBwdbOTk53jknT560brnlFis3N9euMo1p06aN9cc//jHg%2BqyqqrI6duxo5eXlWf3797eeeuopy7IC6%2B/z%2Beeft3r06FHvsUB6fT7zzDNWv379rnk8kHr9pqeeesrq0KGDdeXKlYD6vrUTK1hNTE1NjQoLC5WWluYznpaWpoKCApuqanxHjx5VaWmpT99Op1P9%2B/dv0n1XVFRIkiIiIiRJhYWFunTpkk%2BfsbGxSkxMbNJ91tbWKicnR9XV1UpJSQm4PidOnKhhw4Zp8ODBPuOB1ufhw4cVGxurhIQEPfTQQzpy5IikwHp9rl27VsnJyXrggQcUFRWlu%2B66S4sWLfIeD6Rer6qpqdHy5cv16KOPyuFwBNz3rV0IWE3M2bNnVVtbW%2BcXTUdHR9f5hdSB5GpvgdS3ZVmaOnWq%2BvXrp8TEREn/7DMkJERt2rTxmdtU%2B9y3b59uvfVWOZ1OTZgwQatXr1aXLl0Cqs%2BcnBwVFhYqOzu7zrFA6rN379569913tWHDBi1atEilpaVKTU3VV199FVCvzyNHjmjhwoXq2LGjNmzYoAkTJmjKlCl69913JQXmv0Vr1qzRuXPnNHbsWEmB9X1rJz4Dv4lyOBw%2B%2B5Zl1RkLRIHU96RJk7R3715t27bthnObap%2BdOnVSUVGRzp07pw8//FBjxoxRfn7%2BNec3tT6Li4v11FNPaePGjWrZsmWDH9fU%2BpSk9PR079fdunVTSkqKOnTooKVLl6pPnz6SAuP1eeXKFSUnJ2vOnDmSpLvuuksHDhzQwoUL9ctf/tI7LxB6vertt99Wenq6YmNjrzuvKfdoB1awmpjIyEi1aNGizv8iysrK6vyPKpBcfbdSoPQ9efJkrV27Vps3b1ZcXJx33O12q6amRuXl5T7zm2qfISEh%2BvGPf6zk5GRlZ2erR48eeu211wKmz8LCQpWVlSkpKUlBQUEKCgpSfn6%2BXn/9dQUFBSk6Ojog%2BqxPaGiounXrpsOHDwfU6zMmJkZdunTxGevcubP3TUSB1KskHTt2TJs2bdJjjz3mHQuU16fdCFhNTEhIiJKSkrzv%2BLgqLy9PqampNlXV%2BBISEuR2u336rqmpUX5%2BfpPq27IsTZo0SatWrdLHH3%2BshIQEn%2BNJSUkKDg726bOkpET79%2B9vUn1ei2VZ8ng8AdPnoEGDtG/fPhUVFXm35ORkPfzww96vA6HP%2Bng8Hh08eFAxMTEB8/qUpL59%2B9b56JS//e1vat%2B%2BvaTA%2BbfoqsWLFysqKkrDhg3zjgXK69N2Nt1cjx8gJyfHCg4Ott5%2B%2B23r888/t7KysqzQ0FDryy%2B/tLu0H6Sqqsras2ePtWfPHkuSNX/%2BfGvPnj3WsWPHLMuyrLlz51oul8tatWqVtW/fPusXv/iFFRMTY1VWVtpcecP9%2Bte/tlwul/XJJ59YJSUl3u0f//iHd86ECROsuLg4a9OmTdbu3butgQMHWj169LAuX75sY%2BXf3YwZM6wtW7ZYR48etfbu3Ws999xz1i233GJt3LjRsqzA6fPbvvkuQssKnD6nTZtmffLJJ9aRI0es7du3WxkZGVZYWJj3351AeH1almXt2LHDCgoKsl544QXr8OHD1ooVK6zWrVtby5cv984JlF5ra2ut22%2B/3XrmmWfqHAuU71s7EbCaqD/84Q9W%2B/btrZCQEKtnz57et/k3ZZs3b7Yk1dnGjBljWdY/3x79/PPPW26323I6ndY999xj7du3z96iv6P6%2BpNkLV682DvnwoUL1qRJk6yIiAirVatWVkZGhnX8%2BHH7iv6eHn30Ue/3aLt27axBgwZ5w5VlBU6f3/btgBUofY4aNcqKiYmxgoODrdjYWGvkyJHWgQMHvMcD4fV51Z///GcrMTHRcjqd1p133mm99dZbPscDpdcNGzZYkqxDhw7VORYo37d2cliWZdmydAYAABCguAcLAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBh/w9CtxpR3qXa0wAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common8737858017895320150\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">115</td>\n",
       "        <td class=\"number\">29.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">65</td>\n",
       "        <td class=\"number\">16.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:56%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">53</td>\n",
       "        <td class=\"number\">13.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:46%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6</td>\n",
       "        <td class=\"number\">31</td>\n",
       "        <td class=\"number\">7.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:27%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">8</td>\n",
       "        <td class=\"number\">22</td>\n",
       "        <td class=\"number\">5.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">10</td>\n",
       "        <td class=\"number\">17</td>\n",
       "        <td class=\"number\">4.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">14</td>\n",
       "        <td class=\"number\">12</td>\n",
       "        <td class=\"number\">3.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">12</td>\n",
       "        <td class=\"number\">12</td>\n",
       "        <td class=\"number\">3.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7</td>\n",
       "        <td class=\"number\">7</td>\n",
       "        <td class=\"number\">1.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (24)</td>\n",
       "        <td class=\"number\">53</td>\n",
       "        <td class=\"number\">13.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:46%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme8737858017895320150\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">115</td>\n",
       "        <td class=\"number\">29.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">3</td>\n",
       "        <td class=\"number\">0.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">65</td>\n",
       "        <td class=\"number\">16.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:56%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">53</td>\n",
       "        <td class=\"number\">13.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:46%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">38</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">40</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">54</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">56</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">75</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_activities\">activities<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-7615948440134204723\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>yes</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 50.9%\">\n",
       "            201\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>no</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:96%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 49.1%\">\n",
       "            194\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-7615948440134204723, #minifreqtable-7615948440134204723\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7615948440134204723\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">yes</td>\n",
       "        <td class=\"number\">201</td>\n",
       "        <td class=\"number\">50.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">no</td>\n",
       "        <td class=\"number\">194</td>\n",
       "        <td class=\"number\">49.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:96%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_address\">address<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable3748228193638575902\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>U</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 77.7%\">\n",
       "            307\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>R</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:29%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 22.3%\">\n",
       "            88\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable3748228193638575902, #minifreqtable3748228193638575902\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable3748228193638575902\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">U</td>\n",
       "        <td class=\"number\">307</td>\n",
       "        <td class=\"number\">77.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">R</td>\n",
       "        <td class=\"number\">88</td>\n",
       "        <td class=\"number\">22.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:29%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_age\">age<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>8</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>2.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>16.696</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>15</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>22</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-1249145257749659316\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAc5JREFUeJzt3EGq01AYhuE/xWmygNIsQnALggtyJjhzOc6dOncXDV1AigMHNnegdXLlo/cqJw33eYYt4T%2BBvCQ9gXbLsizV2DRNNY5j67Fs3PF4rMPh0HTmq6bTfuv7vqp%2BnfAwDGssgQ2Z57nGcfxz3bS0SiBd11VV1TAM/yWQNx%2B%2BPPmYb5/e/fNc2rpeNy3tmk%2BEDREIBKs8Yt0Dj2Xcwh0EAoFAIBAIBAKBQCAQCAR3t837nO3Xe2UrefvcQSAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCC4u39WfOn8G%2BN9cQeBQCAQCAQCgUAgEAgEAoFAIBAIBF4UvkBeRt5ulUCWZamqqnmeH33388f31su52d/Wm7Q6lxbrev3%2B85OPeY6vH98%2B%2Bux6ftfrpqVuWWHqNE01jmPrsWzc8Xisw%2BHQdOYqgVwulzqdTtX3fXVd13o8G7MsS53P59rv97Xbtf3ZvEogsBV2sSAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIHgAwN1yJiBCazAAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-1249145257749659316,#minihistogram-1249145257749659316\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-1249145257749659316\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-1249145257749659316\"\n",
       "                                                  aria-controls=\"quantiles-1249145257749659316\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-1249145257749659316\" aria-controls=\"histogram-1249145257749659316\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-1249145257749659316\" aria-controls=\"common-1249145257749659316\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-1249145257749659316\" aria-controls=\"extreme-1249145257749659316\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-1249145257749659316\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>15</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>15</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>16</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>17</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>18</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>19</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>22</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>7</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>1.276</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.076427</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.0012218</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>16.696</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>1.0709</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.46627</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>6595</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>1.6283</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-1249145257749659316\">\n",
       "            <img 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Li4iTJu5J1QUlJSZ1VrQvCwsIUFRXlswEAgMDh2IL19NNPKzMzU8eOHWvS57nuuut06NAhn7HDhw8rOTlZkpSSkqK4uDjl5uZ6b6%2BurlZeXp769evXpNkAAIB/cuwpwjFjxqi8vFzJycmKiopSSEiIz%2B0lJSVGnmfq1Knq16%2BfsrKydMcdd2jXrl1asWKFVqxYIenLU4MZGRnKyspSp06d1KlTJ2VlZal169YaNWqUkQwAAKBlcWzBmjNnTrM8T69evbR582ZlZmbqiSeeUEpKihYuXKi7777be8yMGTNUWVmpiRMnqrS0VL1799bWrVsVGRnZLBkBAIB/cVmWZdkdoqXzeDxyu90qKyszfj1Wz1k5Rh8P/mvPk%2Bl2R2g0f3vd%2BtOfLYD/acrfvw1x7DVYkvTf//5Xs2fP1pgxY7ynBLdu3aqDBw/anAwAAODiHFuwtm/frquuukp5eXl6/vnnVVFRIUl655139Pjjj9ucDgAA4OIcW7AefvhhzZ49W2%2B%2B%2BabPJ7cPGjRIO3futDEZAADApTm2YL3//vv62c9%2BVmc8JiZGp06dsiERAABA4zi2YF1%2B%2BeV1PtxTkvbu3asrrrjChkQAAACN49iCddddd%2BmRRx7RqVOnvJ/o/u9//1vTp0/X6NGjbU4HAABwcY4tWFlZWYqLi1N8fLwqKirUrVs39evXT7169dJjjz1mdzwAAICLcuwHjYaGhmrTpk06fPiw3nnnHdXW1uraa69Vly5d7I4GAABwSY4tWBd07txZnTt3tjsGAABAozm2YP3617%2B%2B5O0XvisQAADAaRxbsIqKinz2a2pqdODAAZWXl%2BuGG26wKRUAAEDDHFuw/vGPf9QZO3funH7zm9%2Boa9euNiQCAABoHMe%2Bi7A%2BwcHBmj59up566im7owAAAFyUXxUsSfr4449VU1NjdwwAAICLcuwpwhkzZvjsW5aloqIibdmyRXfffbdNqQAAABrm2IL19ttv%2B%2By3atVKHTp00Jw5c3TffffZlAoAAKBhji1Y27dvtzsCAADAt%2BJ312ABAAA4nWNXsHr16uX9kueG7Nq1q4nTAAAANJ5jC9aNN96o5cuXq3Pnzurbt68kaefOnTp06JAmTJigsLAwmxMCAADUz7EF6/Tp05o0aZKysrJ8xmfNmqWTJ0/q2WeftSkZAADApTn2Gqznn39e9957b53xcePG6YUXXrAhEQAAQOM4tmCFhYUpPz%2B/znh%2Bfj6nBwEAgKM59hThAw88oPvvv1/vvvuu%2BvTpI%2BnLa7BWrlypmTNn2pwOAADg4hxbsGbNmqWUlBT96U9/0urVqyVJXbt21cqVKzVq1Cib0wEAAFycYwuWJI0aNYoyBQAA/I5jr8GSJI/Ho7Vr1%2Brxxx9XaWmpJOm9995TUVGRzckAAAAuzrErWPv379fgwYPVunVrFRYWaty4cWrbtq2ef/55HTt2TOvWrbM7IgAAQL0cu4I1depUjRo1Sh999JHCw8O940OHDtW2bdtsTAYAAHBpjl3B2r17t5YtW1bn63KuuOIKThECAABHc%2BwKVmhoqCoqKuqMf/DBB2rfvr0NiQAAABrHsQVr%2BPDh%2BsMf/qBz585Jklwul44fP65HHnlEI0eOtDkdAADAxTm2YM2fP18nTpxQXFycKisrNWjQIH3/%2B99XeHh4ne8nBAAAcBLHXoPldruVn5%2Bv3NxcvfPOO6qtrdW1116rW265pc51WQAAAE7iyIJVU1Ojn/zkJ1q6dKnS0tKUlpZmdyQAAIBGc%2BQpwpCQEL377rusVAEAAL/kyIIlSaNHj9aaNWvsjgEAAPCNOfIU4QVLlizR66%2B/rp49e6pNmzY%2Bt82dO9emVAAAAJfm2IJVUFCgH/3oR5Kk999/3%2Bc2Th0CAAAnc1zB%2Bvjjj5WSkqLt27fbHQUAAOBbcdw1WJ06ddKpU6e8%2B3feeadOnjxpYyIAAIBvxnEFy7Isn/1XX31VZ86csSkNAADAN%2Be4ggUAAODvHFewXC5XnYvYuagdAAD4E8dd5G5ZlsaNG6ewsDBJ0hdffKH777%2B/zsc0vPjii3bEAwAAaJDjCtbYsWN99kePHm1TEgAAgG/HcQWLT28HAAD%2BznHXYNkpOztbLpdLGRkZ3rGqqipNmTJF7du3V5s2bTR8%2BHAdO3bMxpQAAMDpKFj/b/fu3VqxYoX30%2BMvyMjI0ObNm7Vx40bt2LFDFRUVGjZsmM6fP29TUgAA4HQULEkVFRW6%2B%2B67tXLlSrVt29Y7XlZWplWrVmn%2B/PkaPHiwrrnmGq1fv1779u3T66%2B/bmNiAADgZBQsSZMmTdLQoUM1ePBgn/GCggLV1NQoLS3NO5aQkKDU1FTl5%2Bc3d0wAAOAnHHeRe3PbuHGjCgoKtGfPnjq3FRcXKzQ01GdVS5JiY2NVXFx80cesqqpSVVWVd9/j8ZgLDAAAHC%2BgV7AKCwv129/%2BVs8995zCw8MbfT/Lsi754afZ2dlyu93eLTEx0URcAADgJwK6YBUUFKikpEQ9evRQcHCwgoODlZeXp0WLFik4OFixsbGqrq5WaWmpz/1KSkoUGxt70cfNzMxUWVmZdyssLGzqqQAAAAcJ6FOEN910k/bt2%2Bczdu%2B996pLly56%2BOGHlZiYqJCQEOXm5uqOO%2B6QJBUVFWn//v2aO3fuRR83LCzM%2B0n0AAAg8AR0wYqMjFRqaqrPWJs2bdSuXTvv%2BPjx4/Xggw%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%2BnQoUM%2Bx1RVVWnKlClq37692rRpo%2BHDh%2BvYsWM2JQYAAE4X8AUrLy9PkyZN0s6dO5Wbm6tz584pLS1NZ86c8R6TkZGhzZs3a%2BPGjdqxY4cqKio0bNgwnT9/3sbkAADAqQL%2Bg0Zzcnw/QHDNmjWKiYlRQUGBbrjhBpWVlWnVqlX661//qsGDB0uS1q9fr8TERL3%2B%2Buu65ZZb7IgNAAAcLOBXsL6urKxMkhQdHS1JKigoUE1NjdLS0rzHJCQkKDU1Vfn5%2BfU%2BRlVVlTwej88GAAACBwXrKyzL0rRp09S/f3%2BlpqZKkoqLixUaGqq2bdv6HBsbG6vi4uJ6Hyc7O1tut9u7JSYmNnl2AADgHBSsr5g8ebLef/99/e1vf2vwWMuy5HK56r0tMzNTZWVl3q2wsNB0VAAA4GAUrP83ZcoUbdmyRW%2B%2B%2BaY6duzoHY%2BLi1N1dbVKS0t9ji8pKVFsbGy9jxUWFqaoqCifDQAABI6AL1iWZWny5Ml68cUX9cYbbyglJcXn9h49eigkJES5ubnesaKiIu3fv1/9%2BvVr7rgAAMAPBPy7CCdNmqQNGzbo5ZdfVmRkpPe6KrfbrYiICLndbo0fP14PPvig2rVrp%2BjoaE2fPl1XX321912FAAAAXxXwBWvZsmWSpIEDB/qMr1mzRuPGjZMkPf300woODtYdd9yhyspK3XTTTVq7dq2CgoKaOS0AAPAHAV%2BwLMtq8Jjw8HAtXrxYixcvboZEAADA3wX8NVgAAACmUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABgWbHcAAEDg6jkrx%2B4I38ieJ9PtjgA/wQoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgNdLSpUuVkpKi8PBw9ejRQ9u3b7c7EgAAcCjeRdgImzZtUkZGhpYuXarrrrtOy5cv15AhQ/Sf//xHSUlJdscDADQTf3vXoz9pae/QZAWrERYsWKDx48frV7/6lbp27aqFCxcqMTFRy5YtszsaAABwIFawGlBdXa2CggI98sgjPuNpaWnKz8%2Bv9z5VVVWqqqry7peVlUmSPB6P8Xznq84Yf0z4p6Z4fTUVXrdNi9cC/FFTvG4vPKZlWcYfuyEUrAZ8%2BumnOn/%2BvGJjY33GY2NjVVxcXO99srOz9fvf/77OeGJiYpNkBCTJPd/uBHAKXgvwR035ui0vL5fb7W66J6gHBauRXC6Xz75lWXXGLsjMzNS0adO8%2B7W1tfr888/Vrl27i97n2/B4PEpMTFRhYaGioqKMPa7TMe/AmrcUuHMP1HlLgTt35m123pZlqby8XAkJCcYes7EoWA1o3769goKC6qxWlZSU1FnVuiAsLExhYWE%2BY5dffnmTZYyKigqof4gXMO/AE6hzD9R5S4E7d%2BZtTnOvXF3ARe4NCA0NVY8ePZSbm%2Bsznpubq379%2BtmUCgAAOBkrWI0wbdo0jRkzRj179lTfvn21YsUKHT16VPfff7/d0QAAgAMFzZ49e7bdIZwuNTVV7dq1U1ZWlubNm6fKykr99a9/Vffu3e2OpqCgIA0cOFDBwYHVlZl3YM1bCty5B%2Bq8pcCdO/NuGfN2WXa8dxEAAKAF4xosAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbB8gPbtm3TrbfeqoSEBLlcLr300ks%2Bt48bN04ul8tn69Onj01pzWlo3pJ08OBBDR8%2BXG63W5GRkerTp4%2BOHj1qQ1pzGpr31/%2BuL2xPPfWUTYnNaWjuFRUVmjx5sjp27KiIiAh17dq1RXzpekPzPnnypMaNG6eEhAS1bt1a6enp%2BuCDD2xKa052drZ69eqlyMhIxcTE6LbbbtOhQ4d8jqmqqtKUKVPUvn17tWnTRsOHD9exY8dsSmxGY%2Ba9YsUKDRw4UFFRUXK5XDp9%2BrRNac1paN6ff/65pkyZoiuvvFKtW7dWUlKSHnjgAe/3%2BfobCpYfOHPmjLp3764lS5Zc9Jj09HQVFRV5t1dffbUZEzaNhub90UcfqX///urSpYveeustvffee3rssccUHh7ezEnNamjeX/17Lioq0urVq%2BVyufTTn/60mZOa19Dcp06dqpycHK1fv14HDx7U1KlTNWXKFL388svNnNSsS83bsizddttt%2Bvjjj/Xyyy/r3XffVXJysgYPHqwzZ/z7i5Lz8vI0adIk7dy5U7m5uTp37pzS0tJ85pWRkaHNmzdr48aN2rFjhyoqKjRs2DCdP3/exuTfTWPmffbsWaWnp2vmzJk2JjWroXmfOHFCJ06c0Lx587Rv3z6tXbtWOTk5Gj9%2BvM3JvyULfkWStXnzZp%2BxsWPHWiNGjLApUfOob9533nmnNXr0aJsSNY/65v11I0aMsAYNGtRMiZpPfXO/6qqrrCeeeMJn7Nprr7UeffTR5ozWpL4%2B70OHDlmSrP3793vHzp07Z0VHR1srV660I2KTKSkpsSRZeXl5lmVZ1unTp62QkBBr48aN3mOOHz9utWrVysrJybErpnFfn/dXvfnmm5Ykq7S01IZkTetS877g%2Beeft0JDQ62amppmTGYGK1gtxFtvvaWYmBh17txZ9913n0pKSuyO1KRqa2v1yiuvqHPnzrrlllsUExOj3r1713sasSU7efKkXnnlFf/9P7xvqH///tqyZYuOHz8uy7L05ptv6vDhw7rlllvsjtZkqqqqJMlnZTYoKEihoaHasWOHXbGaxIVTQdHR0ZKNMW5DAAAFdElEQVSkgoIC1dTUKC0tzXtMQkKCUlNTlZ%2Bfb0vGpvD1eQeKxsy7rKxMUVFRfvnhoxSsFmDIkCF67rnn9MYbb2j%2B/PnavXu3Bg0a5P3B3BKVlJSooqJCc%2BbMUXp6urZu3arbb79dI0eOVF5ent3xms26desUGRmpkSNH2h2lWSxatEjdunVTx44dFRoaqvT0dC1dulT9%2B/e3O1qT6dKli5KTk5WZmanS0lJVV1drzpw5Ki4uVlFRkd3xjLEsS9OmTVP//v2VmpoqSSouLlZoaKjatm3rc2xsbKyKi4vtiGlcffMOBI2Z92effaY//OEPmjBhQjOnM8P/KiHquPPOO73/nZqaqp49eyo5OVmvvPJKi/3FW1tbK0kaMWKEpk6dKkn68Y9/rPz8fD3zzDMaMGCAnfGazerVq3X33Xf7/XVnjbVo0SLt3LlTW7ZsUXJysrZt26aJEycqPj5egwcPtjtekwgJCdHf//53jR8/XtHR0QoKCtLgwYM1ZMgQu6MZNXnyZL3//vuNWpWzLEsul6sZUjW9bzLvlqSheXs8Hg0dOlTdunXT7373u2ZOZwYFqwWKj49XcnJyi3iX0cW0b99ewcHB6tatm894165dA%2BYH1fbt23Xo0CFt2rTJ7ijNorKyUjNnztTmzZs1dOhQSdKPfvQj7d27V/PmzWuxBUuSevToob1796qsrEzV1dXq0KGDevfurZ49e9odzYgpU6Zoy5Yt2rZtmzp27Ogdj4uLU3V1tUpLS31WsUpKStSvXz87ohp1sXm3dA3Nu7y8XOnp6brsssu0efNmhYSE2JDyu%2BMUYQv02WefqbCwUPHx8XZHaTKhoaHq1atXnbc2Hz58WMnJyTalal6rVq1Sjx49HPGl482hpqZGNTU1atXK98dWUFCQd0WzpXO73erQoYM%2B%2BOAD7dmzRyNGjLA70ndiWZYmT56sF198UW%2B88YZSUlJ8bu/Ro4dCQkKUm5vrHSsqKtL%2B/fv9umA1NO%2BWqjHz9ng8SktLU2hoqLZs2eLXq/OsYPmBiooKffjhh979I0eOaO/evYqOjlZ0dLRmz56tn/70p4qPj9d///tfzZw5U%2B3bt9ftt99uY%2Brv7lLzTkpK0kMPPaQ777xTN9xwg2688Ubl5OToH//4h9566y37QhvQ0LylL38IvfDCC5o/f75dMZtEQ3MfMGCAHnroIUVERCg5OVl5eXn6y1/%2BogULFtiY%2BrtraN4vvPCCOnTooKSkJO3bt0%2B//e1vddttt/lc/O2PJk2apA0bNujll19WZGSk97oqt9utiIgIud1ujR8/Xg8%2B%2BKDatWun6OhoTZ8%2BXVdffbVfr1g2NG/py%2BvPiouLva%2BLffv2KTIyUklJSX57MXxD8y4vL1daWprOnj2r9evXy%2BPxyOPxSJI6dOigoKAgO%2BN/c/a9gRGNdeFtul/fxo4da509e9ZKS0uzOnToYIWEhFhJSUnW2LFjraNHj9od%2Bzu71LwvWLVqlfXDH/7QCg8Pt7p372699NJL9gU2pDHzXr58uRUREWGdPn3avqBNoKG5FxUVWePGjbMSEhKs8PBw68orr7Tmz59v1dbW2hv8O2po3n/605%2Bsjh07ev%2BNP/roo1ZVVZW9oQ2ob86SrDVr1niPqaystCZPnmxFR0dbERER1rBhw/z%2B51tj5v273/2uwWP8TUPzvti/A0nWkSNHbM3%2Bbbgsy7JMFjYAAIBAxzVYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAM%2Bz/3d13Pkef6NgAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-1249145257749659316\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">16</td>\n",
       "        <td class=\"number\">104</td>\n",
       "        <td class=\"number\">26.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">17</td>\n",
       "        <td class=\"number\">98</td>\n",
       "        <td class=\"number\">24.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:94%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">18</td>\n",
       "        <td class=\"number\">82</td>\n",
       "        <td class=\"number\">20.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:79%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">15</td>\n",
       "        <td class=\"number\">82</td>\n",
       "        <td class=\"number\">20.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:79%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">19</td>\n",
       "        <td class=\"number\">24</td>\n",
       "        <td class=\"number\">6.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:23%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">20</td>\n",
       "        <td class=\"number\">3</td>\n",
       "        <td class=\"number\">0.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">21</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-1249145257749659316\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">15</td>\n",
       "        <td class=\"number\">82</td>\n",
       "        <td class=\"number\">20.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:79%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">16</td>\n",
       "        <td class=\"number\">104</td>\n",
       "        <td class=\"number\">26.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">17</td>\n",
       "        <td class=\"number\">98</td>\n",
       "        <td class=\"number\">24.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:94%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">18</td>\n",
       "        <td class=\"number\">82</td>\n",
       "        <td class=\"number\">20.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:79%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">19</td>\n",
       "        <td class=\"number\">24</td>\n",
       "        <td class=\"number\">6.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:23%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">18</td>\n",
       "        <td class=\"number\">82</td>\n",
       "        <td class=\"number\">20.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">19</td>\n",
       "        <td class=\"number\">24</td>\n",
       "        <td class=\"number\">6.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:29%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">20</td>\n",
       "        <td class=\"number\">3</td>\n",
       "        <td class=\"number\">0.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">21</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">22</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_failures\">failures<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>4</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>0.33418</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>3</td>\n",
       "                </tr>\n",
       "                <tr class=\"alert\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>79.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram4578238720467413366\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAbVJREFUeJzt3TGOm1AUhtGLlRYWYMEusojsKXX2lEVkFyAvAGuKFDEpEqeZ0S9ZmjzM6JzSlt59lt8nBA3dtm1bNbYsS03T1HosBzfPc43j2HTmp6bT/ur7vqr%2B/OBhGPbYAgeyrmtN0/Tv3LS0SyBd11VV1TAMrwL5/PX7w%2Bv9%2BPblXfbFc7ufm5ZOzSfCgQgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCDY5TXQR/XoK6q9nvr4XEEgEAgEAoFAIBC4Sf8AnvXhwaP7qnq%2BBxuuIBDscgXZtq2qqtZ1ffXdr58vD6/31jr/w6N7s6/3%2BS/vn93PTUvdtsPUZVlqmqbWYzm4eZ5rHMemM3cJ5Ha71eVyqb7vq%2Bu61uM5mG3b6nq91vl8rtOp7V3BLoHAUbhJh0AgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCD4DTf%2BXd91Yd5WAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives4578238720467413366,#minihistogram4578238720467413366\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives4578238720467413366\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles4578238720467413366\"\n",
       "                                                  aria-controls=\"quantiles4578238720467413366\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram4578238720467413366\" aria-controls=\"histogram4578238720467413366\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common4578238720467413366\" aria-controls=\"common4578238720467413366\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme4578238720467413366\" aria-controls=\"extreme4578238720467413366\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles4578238720467413366\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.74365</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>2.2253</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>5.0047</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>0.33418</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.52792</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>2.387</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>132</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.55302</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram4578238720467413366\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X14VPWd///XmJvhxmQkhGSSJrLRIjcGuCRQkoCKgAEsUEp7gYtmg6Uoys0VgWUJXLsbr20J6x3qUtlqFShigy7g0gtMiQoBNgQlJiLIUioooSQE2jAJKQwBz%2B8Pf8zXIQkJ7CeZk%2BT5uK5zXZzP%2BcyZ9/n0ePLqZ86ccViWZQkAAADG3BLoAgAAANobAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGBYc6AI6gm%2B%2B%2BUanTp1SWFiYHA5HoMsBAKBDsCxLNTU1io2N1S23tO6cEgGrFZw6dUrx8fGBLgMAgA6prKxMcXFxrfqeBKxWEBYWJunb/4HDw8MDXA0AAB1DdXW14uPjfX%2BHWxMBqxVc/VgwPDycgAUAQCsLxO053OQOAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMP4sec2bvDSvECX0Gz7fzk20CUAANAqmMECAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhrXrgLVq1SoNGDBA4eHhCg8PV0pKit5//33fdq/Xq7lz5yoyMlJdu3bVxIkTdfLkSb99nDhxQhMmTFDXrl0VGRmpefPm6dKlS619KAAAoA1p1wErLi5Oy5cv1/79%2B7V//36NHDlSP/rRj3To0CFJUmZmpjZv3qzc3Fzt2bNH58%2Bf1/jx43XlyhVJ0pUrV/TDH/5QtbW12rNnj3Jzc7Vx40YtWLAgkIcFAABszmFZlhXoIlpTRESEnnvuOf30pz9Vjx49tG7dOk2dOlWSdOrUKcXHx2vbtm0aM2aM3n//fY0fP15lZWWKjY2VJOXm5mr69OmqrKxUeHh4s96zurpaLpdLHo%2Bn2a9pLh40CgBAw1ry729T2vUM1ndduXJFubm5qq2tVUpKioqLi1VXV6e0tDRfn9jYWCUmJqqwsFCStHfvXiUmJvrClSSNGTNGXq9XxcXFrX4MAACgbWj3P5Xz%2BeefKyUlRRcvXtStt96qzZs3q1%2B/fiotLVVoaKi6devm1z86OloVFRWSpIqKCkVHR/tt79atm0JDQ319GuL1euX1en3r1dXVBo8IAADYXbufwerdu7dKS0tVVFSkJ598UhkZGfriiy8a7W9ZlhwOh2/9u/9urM%2B1cnJy5HK5fEt8fPz/7SAAAECb0u4DVmhoqL7//e9r8ODBysnJ0cCBA/Xyyy/L7Xbr0qVLqqqq8utfWVnpm7Vyu931ZqqqqqpUV1dXb2bru7KysuTxeHxLWVmZ%2BQMDAAC21e4D1rUsy5LX61VSUpJCQkKUn5/v21ZeXq6DBw8qNTVVkpSSkqKDBw%2BqvLzc12f79u1yOp1KSkpq9D2cTqfv0RBXFwAA0HG063uwlixZonHjxik%2BPl41NTXKzc3Vzp07lZeXJ5fLpRkzZmjBggXq3r27IiIitHDhQvXv31%2BjR4%2BWJKWlpalfv35KT0/Xc889p7/%2B9a9auHChZs6cSWgCAACNatcB6/Tp00pPT1d5eblcLpcGDBigvLw8Pfjgg5KkFStWKDg4WFOmTNGFCxc0atQorVmzRkFBQZKkoKAgbd26VU899ZSGDRumzp07a9q0aXr%2B%2BecDeVgAAMDmOtxzsAKB52B9i%2BdgAQBaE8/BAgAAaEcIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgWLsOWDk5ORoyZIjCwsIUFRWlSZMm6ciRI359RowYIYfD4bc8/PDDfn2qqqqUnp4ul8sll8ul9PR0nTt3rjUPBQAAtCHtOmAVFBRo9uzZKioqUn5%2Bvi5fvqy0tDTV1tb69Zs5c6bKy8t9y69//Wu/7dOmTVNpaany8vKUl5en0tJSpaent%2BahAACANiQ40AW0pLy8PL/11atXKyoqSsXFxbrvvvt87V26dJHb7W5wH4cPH1ZeXp6Kioo0dOhQSdLrr7%2BulJQUHTlyRL179265AwAAAG1Su57BupbH45EkRURE%2BLWvX79ekZGRuvvuu7Vw4ULV1NT4tu3du1cul8sXriQpOTlZLpdLhYWFrVM4AABoU9r1DNZ3WZal%2BfPna/jw4UpMTPS1P/LII0pISJDb7dbBgweVlZWlzz77TPn5%2BZKkiooKRUVF1dtfVFSUKioqGnwvr9crr9frW6%2BurjZ8NAAAwM46TMCaM2eODhw4oD179vi1z5w50/fvxMRE9erVS4MHD9ann36qQYMGSZIcDke9/VmW1WC79O3N9c8884zB6gEAQFvSIT4inDt3rrZs2aIdO3YoLi7uun0HDRqkkJAQHT16VJLkdrt1%2BvTpev3OnDmj6OjoBveRlZUlj8fjW8rKyv7vBwEAANqMdh2wLMvSnDlztGnTJn300UdKSEho8jWHDh1SXV2dYmJiJEkpKSnyeDz6%2BOOPfX327dsnj8ej1NTUBvfhdDoVHh7utwAAgI6jXX9EOHv2bL399tv67//%2Bb4WFhfnumXK5XOrcubO%2B/PJLrV%2B/Xg899JAiIyP1xRdfaMGCBbrnnns0bNgwSVLfvn01duxYzZw50/f4hscff1zjx4/nG4QAAKBB7XoGa9WqVfJ4PBoxYoRiYmJ8y4YNGyRJoaGh%2BvDDDzVmzBj17t1b8%2BbNU1pamj744AMFBQX59rN%2B/Xr1799faWlpSktL04ABA7Ru3bpAHRYAALC5dj2DZVnWdbfHx8eroKCgyf1ERETorbfeMlUWAABo59r1DBYAAEAgELAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwLB2HbBycnI0ZMgQhYWFKSoqSpMmTdKRI0f8%2Bni9Xs2dO1eRkZHq2rWrJk6cqJMnT/r1OXHihCZMmKCuXbsqMjJS8%2BbN06VLl1rzUAAAQBvSrgNWQUGBZs%2BeraKiIuXn5%2Bvy5ctKS0tTbW2tr09mZqY2b96s3Nxc7dmzR%2BfPn9f48eN15coVSdKVK1f0wx/%2BULW1tdqzZ49yc3O1ceNGLViwIFCHBQAAbM5hWZYV6CJay5kzZxQVFaWCggLdd9998ng86tGjh9atW6epU6dKkk6dOqX4%2BHht27ZNY8aM0fvvv6/x48errKxMsbGxkqTc3FxNnz5dlZWVCg8Pb/J9q6ur5XK55PF4mtX/Rgxemmd0fy1p/y/HBroEAEAH0pJ/f5vSrmewruXxeCRJERERkqTi4mLV1dUpLS3N1yc2NlaJiYkqLCyUJO3du1eJiYm%2BcCVJY8aMkdfrVXFxcStWDwAA2orgQBfQWizL0vz58zV8%2BHAlJiZKkioqKhQaGqpu3br59Y2OjlZFRYWvT3R0tN/2bt26KTQ01NfnWl6vV16v17deXV1t8lAAAIDNdZgZrDlz5ujAgQP63e9%2B12Rfy7LkcDh869/9d2N9visnJ0cul8u3xMfH33zhAACgzbFtwHrrrbd08eJFI/uaO3eutmzZoh07diguLs7X7na7denSJVVVVfn1r6ys9M1aud3uejNVVVVVqqurqzezdVVWVpY8Ho9vKSsrM3IcAACgbbBtwJo/f77cbreeeOIJffzxxze1D8uyNGfOHG3atEkfffSREhIS/LYnJSUpJCRE%2Bfn5vrby8nIdPHhQqampkqSUlBQdPHhQ5eXlvj7bt2%2BX0%2BlUUlJSg%2B/rdDoVHh7utwAAgI7DtgHr1KlTevPNN1VeXq7hw4fr7rvv1gsvvKAzZ840ex%2BzZ8/WW2%2B9pbffflthYWGqqKhQRUWFLly4IElyuVyaMWOGFixYoA8//FAlJSV69NFH1b9/f40ePVqSlJaWpn79%2Bik9PV0lJSX68MMPtXDhQs2cOZPgBAAAGmTbgBUcHKzJkydry5YtOnHihDIyMvTmm28qLi5OkydP1tatW9XUEyZWrVolj8ejESNGKCYmxrds2LDB12fFihWaNGmSpkyZomHDhqlLly76/e9/r6CgIElSUFCQtm7dqk6dOmnYsGGaMmWKJk2apOeff75Fjx8AALRdbeY5WMXFxXrzzTf1xhtvKCoqyvcMq9WrV%2Bvee%2B8NdHnXxXOwvsVzsAAArYnnYDXi7NmzeumllzRw4EANGzZMlZWVeu%2B99/T111/rz3/%2Bs8aPH69/%2BId/CHSZAAAAfmz7HKwf//jH2rZtmxISEvTzn/9cGRkZ6tGjh2/7rbfeqkWLFumVV14JYJUAAAD12TZghYeH64MPPrjux38xMTE6evRoK1YFAADQNNsGrLVr1zbZx%2BFw6M4772yFagAAAJrPtvdgPf3001q5cmW99l/96ldasGBBACoCAABoHtsGrHfffVfJycn12lNSUvweswAAAGA3tg1YZ8%2BerfcjzNK392adPXs2ABUBAAA0j20D1p133qk//OEP9dr/8Ic/1PvJGwAAADux7U3umZmZyszM1F/%2B8heNHDlSkvThhx/q2Wef5SnqAADA1mwbsGbOnKmLFy9q2bJl%2Btd//VdJUlxcnF555RX97Gc/C3B1AAAAjbNtwJKkuXPnau7cuSovL1fnzp112223BbokAACAJtk6YF0VExMT6BIAAACazbY3uZ85c0aPPfaYbr/9dnXq1EmhoaF%2BCwAAgF3ZdgZr%2BvTp%2BvLLL/WP//iPiomJkcPhCHRJAAAAzWLbgLVr1y7t2rVL99xzT6BLAQAAuCG2/YgwLi6OWSsAANAm2TZgrVixQllZWTp58mSgSwEAALghtv2IMD09XTU1NerZs6fCw8MVEhLit72ysjJAlQEAAFyfbQPW8uXLA10CAADATbFtwJoxY0agSwAAALgptr0HS5K%2B%2BuorZWdnKz093feR4Pbt23X48OEAVwYAANA42was3bt36%2B6771ZBQYHeeecdnT9/XpL06aef6l/%2B5V8CXB0AAEDjbBuw/umf/knZ2dnasWOH35PbR44cqaKiogBWBgAAcH22DVgHDhzQT3/603rtUVFROnPmTAAqAgAAaB7bBqzbbrtNFRUV9dpLS0v1ve99LwAVAQAANI9tA9bDDz%2BsxYsX68yZM74nuu/bt08LFy7Uo48%2BGuDqAAAAGmfbgLVs2TK53W7FxMTo/Pnz6tevn1JTUzVkyBD98z//c6DLAwAAaJRtn4MVGhqqDRs26I9//KM%2B/fRTffPNNxo0aJD69OkT6NIAAACuy7YB66q77rpLd911V6DLAAAAaDbbBqzHH3/8uttfe%2B21VqoEAADgxtg2YJWXl/ut19XV6dChQ6qpqdF9990XoKoAAACaZtuA9fvf/75e2%2BXLl/Xkk0%2Bqb9%2B%2BAagIAACgeWz7LcKGBAcHa%2BHChXruuecCXQoAAECj2lTAkqRjx46prq4u0GUAAAA0yrYfES5atMhv3bIslZeXa8uWLXrkkUcCVBUAAEDTbBuw9u7d67d%2Byy23qEePHlq%2BfLlmzpwZoKoAAACaZtuAtXv37kCXAAAAcFPa3D1YAAAAdmfbgDVkyBD94Ac/aNbSmF27dmnChAmKjY2Vw%2BHQe%2B%2B957d9%2BvTpcjgcfktycrJfH6/Xq7lz5yoyMlJdu3bVxIkTdfLkyRY5ZgAA0D7YNmA98MADOnLkiCzLUnJysi/4HDlyRCNGjNCYMWN8S2Nqa2s1cOBArVy5stE%2BY8eOVXl5uW/Ztm2b3/bMzExt3rxZubm52rNnj86fP6/x48frypUrZg4UAAC0O7a9B%2BvcuXOaPXu2li1b5te%2BdOlSnT59Wr/5zW%2Ba3Me4ceM0bty46/ZxOp1yu90NbvN4PHrjjTe0bt06jR49WpL01ltvKT4%2BXh988MF1wx0AAOi4bDuD9c477%2Bixxx6r1z59%2BnS9%2B%2B67xt5n586dioqK0l133aWZM2eqsrLSt624uFh1dXVKS0vztcXGxioxMVGFhYWN7tPr9aq6utpvAQAAHYdtA5bT6WwwxBQWFsrpdBp5j3Hjxmn9%2BvX66KOP9MILL%2BiTTz7RyJEj5fV6JUkVFRUKDQ1Vt27d/F4XHR2tioqKRvebk5Mjl8vlW%2BLj443UCwAA2gbbfkQ4b948zZo1SyUlJb77r4qKivT6669ryZIlRt5j6tSpvn8nJiZq8ODB6tmzp7Zu3arJkyc3%2BjrLsuRwOBrdnpWVpfnz5/vWq6urCVkAAHQgtg1YS5cuVUJCgl5%2B%2BWW9%2BeabkqS%2Bffvq9ddf17Rp01rkPWNiYtSzZ08dPXpUkuR2u3Xp0iVVVVX5zWJVVlYqNTW10f04nU5js2wAAKDtse1HhJI0bdo07du3z3cf0759%2B1osXEnSX/7yF5WVlSkmJkaSlJSUpJCQEOXn5/v6lJeX6%2BDBg9cNWAAAoGOz7QyW9O1Ha5s2bdKxY8f09NNPq1u3bvrss88UFRXlC0HXc/78ef3pT3/yrR8/flylpaWKiIhQRESEsrOz9ZOf/EQxMTH66quvtGTJEkVGRurHP/6xJMnlcmnGjBlasGCBunfvroiICC1cuFD9%2B/f3fasQAADgWrYNWAcPHtTo0aPVpUsXlZWVafr06erWrZveeecdnTx5UmvXrm1yH/v379cDDzzgW796X1RGRoZWrVqlzz//XL/97W917tw5xcTE6IEHHtCGDRsUFhbme82KFSsUHBysKVOm6MKFCxo1apTWrFmjoKAg8wcNAADaBYdlWVagi2jIgw8%2BqP79%2B%2BuFF15QeHi4PvvsM91xxx0qLCzUI488ouPHjwe6xGarrq6Wy%2BWSx%2BNReHi40X0PXppndH8taf8vxwa6BABAB9KSf3%2BbYtsZrE8%2B%2BUSrVq2q9229733veyovLw9QVQAAAE2z7U3uoaGhOn/%2BfL32o0ePKjIyMgAVAQAANI9tA9bEiRP1b//2b7p8%2BbIkyeFw6M9//rMWL1583WdUAQAABJptA9YLL7ygU6dOye1268KFCxo5cqTuuOMOderUqd7vEwIAANiJbe/BcrlcKiwsVH5%2Bvj799FN98803GjRokMaMGXPdp6gDAAAEmi0DVl1dnR566CG9%2BuqrSktL8/uxZQAAALuz5UeEISEhKikpYaYKAAC0SbYMWJL06KOPavXq1YEuAwAA4IbZ8iPCq1auXKkPPvhAgwcPVteuXf22PfvsswGqCgAA4PpsG7CKi4s1YMAASdKBAwf8tvHRIQAAsDPbBaxjx44pISFBu3fvDnQpAAAAN8V292D16tVLZ86c8a1PnTpVp0%2BfDmBFAAAAN8Z2Aeva357etm2bamtrA1QNAADAjbNdwAIAAGjrbBewHA5HvZvYuakdAAC0Jba7yd2yLE2fPl1Op1OSdPHiRc2aNaveYxo2bdoUiPIAAACaZLuAlZGR4bf%2B6KOPBqgSAACAm2O7gMXT2wEAQFtnu3uwAAAA2joCFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhrXrgLVr1y5NmDBBsbGxcjgceu%2B99/y2W5al7OxsxcbGqnPnzhoxYoQOHTrk16eqqkrp6elyuVxyuVxKT0/XuXPnWvMwAABAG9OuA1Ztba0GDhyolStXNrj92Wef1YsvvqiVK1fqk08%2Bkdvt1oMPPqiamhpfn2nTpqm0tFR5eXnKy8tTaWmp0tPTW%2BsQAABAGxQc6AJa0rhx4zRu3LgGt1mWpZdeeklLly7V5MmTJUlr165VdHS03n77bT3xxBM6fPiw8vLyVFRUpKFDh0qSXn/9daWkpOjIkSPq3bt3qx0LAABoO9r1DNb1HD9%2BXBUVFUpLS/O1OZ1O3X///SosLJQk7d27Vy6XyxeuJCk5OVkul8vXpyFer1fV1dV%2BCwAA6Dg6bMCqqKiQJEVHR/u1R0dH%2B7ZVVFQoKiqq3mujoqJ8fRqSk5Pju2fL5XIpPj7eYOUAAMDuOmzAusrhcPitW5bl13bt9ob6XCsrK0sej8e3lJWVmSsYAADYXru%2BB%2Bt63G63pG9nqWJiYnztlZWVvlktt9ut06dP13vtmTNn6s18fZfT6ZTT6TRcMQAAaCs67AxWQkKC3G638vPzfW2XLl1SQUGBUlNTJUkpKSnyeDz6%2BOOPfX327dsnj8fj6wMAAHCtdj2Ddf78ef3pT3/yrR8/flylpaWKiIjQ7bffrszMTC1btky9evVSr169tGzZMnXp0kXTpk2TJPXt21djx47VzJkz9etf/1qS9Pjjj2v8%2BPF8gxAAADSqXQes/fv364EHHvCtz58/X5KUkZGhNWvWaNGiRbpw4YKeeuopVVVVaejQodq%2BfbvCwsJ8r1m/fr3mzZvn%2B7bhxIkTG32uFgAAgCQ5LMuyAl1Ee1ddXS2XyyWPx6Pw8HCj%2Bx68NM/o/lrS/l%2BODXQJAIAOpCX//jalw96DBQAA0FIIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgWIcPWNnZ2XI4HH6L2%2B32bbcsS9nZ2YqNjVXnzp01YsQIHTp0KIAVAwAAu%2BvwAUuS7r77bpWXl/uWzz//3Lft2Wef1YsvvqiVK1fqk08%2Bkdvt1oMPPqiampoAVgwAAOyMgCUpODhYbrfbt/To0UPSt7NXL730kpYuXarJkycrMTFRa9eu1d/%2B9je9/fbbAa4aAADYFQFL0tGjRxUbG6uEhAQ9/PDDOnbsmCTp%2BPHjqqioUFpamq%2Bv0%2BnU/fffr8LCwkb35/V6VV1d7bcAAICOIzjQBQTa0KFD9dvf/lZ33XWXTp8%2BrV/84hdKTU3VoUOHVFFRIUmKjo72e010dLS%2B/vrrRveZk5OjZ555pkXrBq41eGleoEtotv2/HBvoEgCgRXX4Gaxx48bpJz/5ifr376/Ro0dr69atkqS1a9f6%2BjgcDr/XWJZVr%2B27srKy5PF4fEtZWVnLFA8AAGypwwesa3Xt2lX9%2B/fX0aNHfd8mvDqTdVVlZWW9Wa3vcjqdCg8P91sAAEDHQcC6htfr1eHDhxUTE6OEhAS53W7l5%2Bf7tl%2B6dEkFBQVKTU0NYJUAAMDOOvw9WAsXLtSECRN0%2B%2B23q7KyUr/4xS9UXV2tjIwMORwOZWZmatmyZerVq5d69eqlZcuWqUuXLpo2bVqgSwcAADbV4QPWyZMn9fd///c6e/asevTooeTkZBUVFalnz56SpEWLFunChQt66qmnVFVVpaFDh2r79u0KCwsLcOUAAMCuOnzAys3Nve52h8Oh7OxsZWdnt05BAACgzeMeLAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMOCA10AAMCswUvzAl1Cs%2B3/5dhAlwC0CAIWAADtFGE7cPiIEAAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFjN9OqrryohIUGdOnVSUlKSdu/eHeiSAACATRGwmmHDhg3KzMzU0qVLVVJSonvvvVfjxo3TiRMnAl0aAACwIQJWM7z44ouaMWOGfv7zn6tv37566aWXFB8fr1WrVgW6NAAAYEPBgS7A7i5duqTi4mItXrzYrz0tLU2FhYUNvsbr9crr9frWPR6PJKm6utp4fVe8tcb32VJa4vjx/3Au4CrOBVzV0c%2BFq/u0LMv4vptCwGrC2bNndeXKFUVHR/u1R0dHq6KiosHX5OTk6JlnnqnXHh8f3yI1thWuFwJdAeyCcwFXcS7gqpY8F2pDYvR/AAAIc0lEQVRqauRyuVruDRpAwGomh8Pht25ZVr22q7KysjR//nzf%2BjfffKO//vWv6t69e6OvuRnV1dWKj49XWVmZwsPDje23PWGMro/xaRpj1DTG6PoYn6a11BhZlqWamhrFxsYa22dzEbCaEBkZqaCgoHqzVZWVlfVmta5yOp1yOp1%2BbbfddluL1RgeHs5/tE1gjK6P8WkaY9Q0xuj6GJ%2BmtcQYtfbM1VXc5N6E0NBQJSUlKT8/3689Pz9fqampAaoKAADYGTNYzTB//nylp6dr8ODBSklJ0WuvvaYTJ05o1qxZgS4NAADYUFB2dnZ2oIuwu8TERHXv3l3Lli3T888/rwsXLmjdunUaOHBgoEtTUFCQRowYoeBgsnJjGKPrY3yaxhg1jTG6Psanae1tjBxWIL67CAAA0I5xDxYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2DZ3KuvvqqEhAR16tRJSUlJ2r1793X7b9y4Uf369ZPT6VS/fv20efPmVqo0MG5kfNasWSOHw1FvuXjxYitW3Lp27dqlCRMmKDY2Vg6HQ%2B%2B9916TrykoKFBSUpI6deqkO%2B64Q//5n//ZCpUGzo2O0c6dOxs8j/73f/%2B3lSpuXTk5ORoyZIjCwsIUFRWlSZMm6ciRI02%2BrqNci25mfDratWjVqlUaMGCA7yGiKSkpev/996/7mvZw/hCwbGzDhg3KzMzU0qVLVVJSonvvvVfjxo3TiRMnGuy/d%2B9eTZ06Venp6frss8%2BUnp6uKVOmaN%2B%2Bfa1ceeu40fGRvn1KcHl5ud/SqVOnVqy6ddXW1mrgwIFauXJls/ofP35cDz30kO69916VlJRoyZIlmjdvnjZu3NjClQbOjY7RVUeOHPE7j3r16tVCFQZWQUGBZs%2BeraKiIuXn5%2Bvy5ctKS0tTbW3jPyLcka5FNzM%2BUse6FsXFxWn58uXav3%2B/9u/fr5EjR%2BpHP/qRDh061GD/dnP%2BWLCtH/zgB9asWbP82vr06WMtXry4wf5Tpkyxxo4d69c2ZswY6%2BGHH26xGgPpRsdn9erVlsvlao3SbEmStXnz5uv2WbRokdWnTx%2B/tieeeMJKTk5uydJsozljtGPHDkuSVVVV1UpV2UtlZaUlySooKGi0T0e7Fn1Xc8ano1%2BLLMuyunXrZv3mN79pcFt7OX%2BYwbKpS5cuqbi4WGlpaX7taWlpKiwsbPA1e/furdd/zJgxjfZvy25mfCTp/Pnz6tmzp%2BLi4jR%2B/HiVlJS0dKltSmPn0P79%2B1VXVxegquzpnnvuUUxMjEaNGqUdO3YEupxW4/F4JEkRERGN9ulI16JrNWd8pI57Lbpy5Ypyc3NVW1urlJSUBvu0l/OHgGVTZ8%2Be1ZUrV%2Br9oHR0dHS9H56%2BqqKi4ob6t2U3Mz59%2BvTRmjVrtGXLFv3ud79Tp06dNGzYMB09erQ1Sm4TGjuHLl%2B%2BrLNnzwaoKnuJiYnRa6%2B9po0bN2rTpk3q3bu3Ro0apV27dgW6tBZnWZbmz5%2Bv4cOHKzExsdF%2BHela9F3NHZ%2BOeC36/PPPdeutt8rpdGrWrFnavHmz%2BvXr12Df9nL%2BtI/n0bdjDofDb92yrHpt/5f%2Bbd2NHG9ycrKSk5N968OGDdOgQYP0H//xH3rllVdatM62pKExbai9o%2Brdu7d69%2B7tW09JSVFZWZmef/553XfffQGsrOXNmTNHBw4c0J49e5rs29GuRVLzx6cjXot69%2B6t0tJSnTt3Ths3blRGRoYKCgoaDVnt4fxhBsumIiMjFRQUVC%2BxV1ZW1kv2V7nd7hvq35bdzPhc65ZbbtGQIUPa9f9rvFGNnUPBwcHq3r17gKqyv%2BTk5HZ/Hs2dO1dbtmzRjh07FBcXd92%2BHeladNWNjM%2B1OsK1KDQ0VN///vc1ePBg5eTkaODAgXr55Zcb7Ntezh8Clk2FhoYqKSlJ%2Bfn5fu35%2BflKTU1t8DUpKSn1%2Bm/fvr3R/m3ZzYzPtSzLUmlpqWJiYlqixDapsXNo8ODBCgkJCVBV9ldSUtJuzyPLsjRnzhxt2rRJH330kRISEpp8TUe6Ft3M%2BDS0j452LbIsS16vt8Ft7eb8Ccit9WiW3NxcKyQkxHrjjTesL774wsrMzLS6du1qffXVV5ZlWVZ6errfN%2Bb%2B53/%2BxwoKCrKWL19uHT582Fq%2BfLkVHBxsFRUVBeoQWtSNjk92draVl5dnffnll1ZJSYn12GOPWcHBwda%2BffsCdQgtrqamxiopKbFKSkosSdaLL75olZSUWF9//bVlWZa1ePFiKz093df/2LFjVpcuXaynn37a%2BuKLL6w33njDCgkJsf7rv/4rUIfQ4m50jFasWGFt3rzZ%2BuMf/2gdPHjQWrx4sSXJ2rhxY6AOoUU9%2BeSTlsvlsnbu3GmVl5f7lr/97W%2B%2BPh35WnQz49PRrkVZWVnWrl27rOPHj1sHDhywlixZYt1yyy3W9u3bLctqv%2BcPAcvmfvWrX1k9e/a0QkNDrUGDBvl99ff%2B%2B%2B%2B3MjIy/Pq/%2B%2B67Vu/eva2QkBCrT58%2B7faif9WNjE9mZqZ1%2B%2B23W6GhoVaPHj2stLQ0q7CwMABVt56rjxS4drk6LhkZGdb999/v95qdO3da99xzjxUaGmr93d/9nbVq1arWL7wV3egY/fu//7t15513Wp06dbK6detmDR8%2B3Nq6dWtgim8FDY2NJGv16tW%2BPh35WnQz49PRrkU/%2B9nPfNfpHj16WKNGjfKFK8tqv%2BePw7L%2B/ztYAQAAYAT3YAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMOz/AykViCEyJRhUAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common4578238720467413366\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">312</td>\n",
       "        <td class=\"number\">79.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">50</td>\n",
       "        <td class=\"number\">12.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">17</td>\n",
       "        <td class=\"number\">4.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">16</td>\n",
       "        <td class=\"number\">4.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme4578238720467413366\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">312</td>\n",
       "        <td class=\"number\">79.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">50</td>\n",
       "        <td class=\"number\">12.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">17</td>\n",
       "        <td class=\"number\">4.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">16</td>\n",
       "        <td class=\"number\">4.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">312</td>\n",
       "        <td class=\"number\">79.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">50</td>\n",
       "        <td class=\"number\">12.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">17</td>\n",
       "        <td class=\"number\">4.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">16</td>\n",
       "        <td class=\"number\">4.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_famrel\">famrel<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>3.9443</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>1</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram4499197529932173052\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAblJREFUeJzt3EGuk2AYhtGPxiksoIFduAj35Ng9uQh3AekCaBw4sDjQGhPNqx34U%2B49Z9imfNDwBFoI3bZtWzW2LEtN09R6LAc3z3ON49h05pum037o%2B76qvm/wMAx7rAIHsq5rTdP0c79paZdAuq6rqqphGASyg7fvPz78mU8f3v2HNXnMfb9p6dR8IhyIQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEOzyVBNeh6M%2BPeVXjiAQCAQCgUAgEAgEAoFAIBAIBAKBwIXCJ/MSLq69JI4gEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEgld7q4lbOvgXjiAQCASCpzvFcurDM9klkG3bqqpqXdff3vv65fPDy/vTcv6m1ZxHtVivo33H99fu%2B01L3bbD1GVZapqm1mM5uHmeaxzHpjN3CeR2u9Xlcqm%2B76vrutbjOZht2%2Bp6vdb5fK7Tqe3P5l0CgaPwLxYEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCwTdHZGak2USuRgAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives4499197529932173052,#minihistogram4499197529932173052\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives4499197529932173052\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles4499197529932173052\"\n",
       "                                                  aria-controls=\"quantiles4499197529932173052\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram4499197529932173052\" aria-controls=\"histogram4499197529932173052\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common4499197529932173052\" aria-controls=\"common4499197529932173052\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme4499197529932173052\" aria-controls=\"extreme4499197529932173052\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles4499197529932173052\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.89666</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.22733</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>1.1398</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>3.9443</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.62159</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.95188</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>1558</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.804</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram4499197529932173052\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3XtcVWW%2Bx/HvTmR7CXbghQ0jGnnULpij4gR28VYoeTmNNeVYhGkcm8zyNo7kacJOiV2m23jydBu1sqN1SuucyhFLsQ6SoqhpjXmhxAlEZwyEdIu6zh%2BN%2B7jlItgDe%2B3N5/16rdeL9axnLX4PT73212ctFg7LsiwBAADAmAv8XQAAAECwIWABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEh/i6gOTh16pS%2B%2B%2B47hYWFyeFw%2BLscAACaBcuydOTIEcXExOiCC5p2TYmA1QS%2B%2B%2B47xcbG%2BrsMAACapaKiInXq1KlJvycBqwmEhYVJ%2BnGCw8PD/VwNAADNQ3l5uWJjY72fw02JgNUETt8WDA8PJ2ABANDE/PF4TlA/5J6VlaV%2B/fopLCxMHTt21E033aSdO3f69PF4PJo8ebLat2%2Bvtm3batSoUdq/f79Pn3379mnkyJFq27at2rdvr/vvv1/Hjx9vyqEAAIAAEtQBKycnR5MmTVJeXp6ys7N14sQJJScnq7Ky0ttnypQpWr58uZYuXarPPvtMFRUVGjFihE6ePClJOnnypIYPH67Kykp99tlnWrp0qd555x1Nnz7dX8MCAAA257Asy/J3EU3l4MGD6tixo3JycnTdddeprKxMHTp00Ouvv67bbrtN0v8/kP7hhx9q6NCh%2BuijjzRixAgVFRUpJiZGkrR06VKNGzdOpaWl9brlV15eLpfLpbKyMm4RAgDQRPz5%2BRvUK1hnKysrkyRFRkZKkjZt2qSqqiolJyd7%2B8TExCg%2BPl65ubmSpPXr1ys%2BPt4briRp6NCh8ng82rRpU43fx%2BPxqLy83GcDAADNR7MJWJZladq0abrmmmsUHx8vSSopKVFoaKgiIiJ8%2BkZFRamkpMTbJyoqyud4RESEQkNDvX3OlpWVJZfL5d14RQMAAM1LswlY9913n7Zt26b//M//PGdfy7J8fuOgpt8%2BOLvPmTIyMlRWVubdioqKzr9wAAAQcJpFwJo8ebLef/99rVmzxudFY263W8ePH9fhw4d9%2BpeWlnpXrdxud7WVqsOHD6uqqqraytZpTqfT%2B0oGXs0AAEDzE9QBy7Is3XfffXr33Xf1ySefKC4uzud437591bJlS2VnZ3vbiouLtX37dvXv31%2BSlJSUpO3bt6u4uNjbZ9WqVXI6nerbt2/TDAQAAASUoH7R6KRJk/Tmm2/qvffeU1hYmHclyuVyqXXr1nK5XJowYYKmT5%2Budu3aKTIyUjNmzFDPnj11/fXXS5KSk5N1%2BeWXKzU1VU8%2B%2BaT%2B/ve/a8aMGUpPT2dlCgAA1CioX9NQ2zNSCxcu1Lhx4yRJx44d029/%2B1u9%2BeabOnr0qIYMGaIXXnjB58H0ffv26d5779Unn3yi1q1ba%2BzYsXrqqafkdDrrVQevaQAAoOn58/M3qAOWXRCwAABoerwHCwAAIIgE9TNYAAB7S5i90t8lNEj%2BY8P8XQICBCtYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADAvqgLVu3TqNHDlSMTExcjgcWrFihc9xh8NR4/bkk096%2B1x88cXVjs%2BaNauphwIAAAJIiL8LaEyVlZXq1auX7rrrLt18883VjhcXF/vsf/TRR5owYUK1vo888ojS09O9%2BxdeeGHjFAwAAIJCUAeslJQUpaSk1Hrc7Xb77L/33nsaNGiQLrnkEp/2sLCwan0BAABqE9S3CBviwIED%2BuCDDzRhwoRqxx5//HG1a9dOP//5z/XYY4/p%2BPHjdV7L4/GovLzcZwMAAM1HUK9gNcTixYsVFham0aNH%2B7Q/8MAD6tOnjyIiIrRhwwZlZGSosLBQr7zySq3XysrK0pw5cxq7ZAAAYFMErH/405/%2BpNtvv12tWrXyaZ86dar36yuvvFIRERG65ZZbvKtaNcnIyNC0adO8%2B%2BXl5YqNjW2cwgEAgO0QsCR9%2Bumn2rlzp5YtW3bOvomJiZKk3bt31xqwnE6nnE6n0RoBAEDg4BksSa%2B%2B%2Bqr69u2rXr16nbNvQUGBJCk6OrqxywIAAAEqqFewKioqtHv3bu9%2BYWGhtmzZosjISHXu3FnSj7fv3n77bf3hD3%2Bodv769euVl5enQYMGyeVyaePGjZo6dapGjRrlPR8AAOBsQR2w8vPzNWjQIO/%2B6eei0tLStGjRIknS0qVLZVmWfv3rX1c73%2Bl0atmyZZozZ448Ho%2B6dOmi9PR0zZw5s0nqBwAAgclhWZbl7yKCXXl5uVwul8rKyhQeHu7vcgDANhJmr/R3CQ2S/9gwf5eABvDn5y/PYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCwoA5Y69at08iRIxUTEyOHw6EVK1b4HB83bpwcDofPlpiY6NPH4/Fo8uTJat%2B%2Bvdq2batRo0Zp//79TTkMAAAQYII6YFVWVqpXr16aP39%2BrX2GDRum4uJi7/bhhx/6HJ8yZYqWL1%2BupUuX6rPPPlNFRYVGjBihkydPNnb5AAAgQIX4u4DGlJKSopSUlDr7OJ1Oud3uGo%2BVlZXp1Vdf1euvv67rr79ekvTGG28oNjZWq1ev1tChQ43XDAAAAl9Qr2DVx9q1a9WxY0d1795d6enpKi0t9R7btGmTqqqqlJyc7G2LiYlRfHy8cnNz/VEuAAAIAEG9gnUuKSkp%2BtWvfqUuXbqosLBQDz30kAYPHqxNmzbJ6XSqpKREoaGhioiI8DkvKipKJSUltV7X4/HI4/F498vLyxttDAAAwH6adcC67bbbvF/Hx8crISFBXbp00QcffKDRo0fXep5lWXI4HLUez8rK0pw5c4zWCgAAAkezv0V4pujoaHXp0kW7du2SJLndbh0/flyHDx/26VdaWqqoqKhar5ORkaGysjLvVlRU1Kh1AwAAeyFgneFvf/ubioqKFB0dLUnq27evWrZsqezsbG%2Bf4uJibd%2B%2BXf3796/1Ok6nU%2BHh4T4bAABoPoL6FmFFRYV2797t3S8sLNSWLVsUGRmpyMhIZWZm6uabb1Z0dLS%2B%2BeYbPfjgg2rfvr1%2B%2BctfSpJcLpcmTJig6dOnq127doqMjNSMGTPUs2dP728VAgAAnC2oA1Z%2Bfr4GDRrk3Z82bZokKS0tTQsWLNAXX3yh1157Td9//72io6M1aNAgLVu2TGFhYd5znnnmGYWEhOjWW2/V0aNHNWTIEC1atEgtWrRo8vEAAIDA4LAsy/J3EcGuvLxcLpdLZWVl3C4EgDMkzF7p7xIaJP%2BxYf4uAQ3gz89fnsECAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYUEdsNatW6eRI0cqJiZGDodDK1as8B6rqqrS7373O/Xs2VNt27ZVTEyM7rzzTn333Xc%2B17j44ovlcDh8tlmzZjX1UAAAQAAJ6oBVWVmpXr16af78%2BdWO/fDDD9q8ebMeeughbd68We%2B%2B%2B66%2B/vprjRo1qlrfRx55RMXFxd7tX//1X5uifAAAEKBC/F1AY0pJSVFKSkqNx1wul7Kzs33a/vjHP%2BoXv/iF9u3bp86dO3vbw8LC5Ha7G7VWAAAQPIJ6BauhysrK5HA4dNFFF/m0P/7442rXrp1%2B/vOf67HHHtPx48f9VCEAAAgEQb2C1RDHjh3TrFmzNHbsWIWHh3vbH3jgAfXp00cRERHasGGDMjIyVFhYqFdeeaXWa3k8Hnk8Hu9%2BeXl5o9YOAADshYClHx94HzNmjE6dOqUXXnjB59jUqVO9X1955ZWKiIjQLbfc4l3VqklWVpbmzJnTqDUDAAD7su0twjfeeEPHjh1r9O9TVVWlW2%2B9VYWFhcrOzvZZvapJYmKiJGn37t219snIyFBZWZl3KyoqMlozAACwN9sGrGnTpsntdmvixInasGFDo3yP0%2BFq165dWr16da0rUmcqKCiQJEVHR9fax%2Bl0Kjw83GcDAADNh21vEX733Xd6//33tWjRIl1zzTXq1q2bxo8frzvvvFMdOnSo1zUqKip8VpoKCwu1ZcsWRUZGKiYmRrfccos2b96s//mf/9HJkydVUlIiSYqMjFRoaKjWr1%2BvvLw8DRo0SC6XSxs3btTUqVM1atQon98yBAAAOJPDsizL30WcS0lJiV577TUtXrxYu3fv1vDhwzVhwgTdeOONcjgctZ63du1aDRo0qFp7WlqaMjMzFRcXV%2BN5a9as0cCBA7V582bde%2B%2B9%2Bstf/iKPx6MuXbpozJgxmjlzptq0aVPv%2BsvLy%2BVyuVRWVsZqFgCcIWH2Sn%2BX0CD5jw3zdwloAH9%2B/tp2BetMbrdbQ4YM0bfffqs9e/YoPz9fH3/8sTp06KCFCxfq2muvrfG8gQMHqq78eK5s2adPH%2BXl5f2k2gEAQPNj22ewJOnQoUN69tln1atXL1199dUqLS3VihUr9O233%2Bqvf/2rRowYoTvvvNPfZQIAAPiw7QrWL3/5S3344YeKi4vT3XffrbS0NJ9nry688ELNnDlTzz//vB%2BrBAAAqM62ASs8PFyrV6%2Bu9faf9ONv8u3atasJqwIAADg32wasxYsXn7OPw%2BFQ165dm6AaAACA%2BrPtM1hTp07V/Pnzq7X/%2B7//u6ZPn%2B6HigAAAOrHtgHr7bff9r41/UxJSUlatmyZHyoCAACoH9sGrEOHDikiIqJae3h4uA4dOuSHigAAAOrHtgGra9eu%2BvOf/1yt/c9//nOtLwgFAACwA9s%2B5D5lyhRNmTJFf/vb3zR48GBJ0scff6wnnnhCTz31lJ%2BrAwAAqJ1tA1Z6erqOHTumuXPn6uGHH5YkderUSc8//7zGjx/v5%2BoAAABqZ9uAJUmTJ0/W5MmTVVxcrNatW%2Buiiy7yd0kAAADnZOuAdVp0dLS/SwAAAKg32z7kfvDgQd11113q3LmzWrVqpdDQUJ8NAADArmy7gjVu3Djt2bNHv/3tbxUdHS2Hw%2BHvkgAAAOrFtgFr3bp1WrdunXr37u3vUgAAABrEtrcIO3XqxKoVAAAISLYNWM8884wyMjK0f/9%2Bf5cCAADQILa9RZiamqojR46oS5cuCg8PV8uWLX2Ol5aW%2BqkyAACAutk2YM2bN8/fJQAAAJwX2wasCRMm%2BLsEAACA82LbZ7Ak6ZtvvlFmZqZSU1O9twRXrVqlr776ys%2BVAQAA1M62AevTTz/VFVdcoZycHL311luqqKiQJG3evFm///3v/VwdAABA7WwbsH73u98pMzNTa9as8Xlz%2B%2BDBg5WXl%2BfHygAAAOpm22ewtm3bpiVLllRr79ixow4ePOiHigAACCwJs1f6u4R6y39smL9LMMq2K1gXXXSRSkpKqrVv2bJFP/vZz/xQEQAAQP3YNmCNGTNGs2bN0sGDB71vdP/88881Y8YM3XHHHX6uDgAAoHa2DVhz586V2%2B1WdHS0KioqdPnll6t///7q16%2BfHnroIX%2BXBwAAUCvbPoMVGhqqZcuW6euvv9bmzZt16tQp9enTR5deeqm/SwMAAKiTbVewTuvevbvGjBmjsWPHNjhcrVu3TiNHjlRMTIwcDodWrFjhc9yyLGVmZiomJkatW7fWwIEDtWPHDp8%2Bhw8fVmpqqlwul1wul1JTU/X999//5HEBAIDgZdsVrH/5l3%2Bp8/hLL710zmtUVlaqV69euuuuu3TzzTdXO/7EE0/o6aef1qJFi9S9e3c9%2BuijuuGGG7Rz506FhYVJksaOHav9%2B/dr5cqV3rpSU1P13//93%2BcxKgAA0BzYNmAVFxf77FdVVWnHjh06cuSIrrvuunpdIyUlRSkpKTUesyxLzz77rGbPnq3Ro0dLkhYvXqyoqCi9%2Beabmjhxor766iutXLlSeXl5uuqqqyRJL7/8spKSkrRz50716NHjJ4wQAAAEK9sGrJpWiE6cOKHf/OY3uuyyy37y9QsLC1VSUqLk5GRvm9Pp1IABA5Sbm6uJEydq/fr1crlc3nAlSYmJiXK5XMrNzSVgAQCAGtn%2BGawzhYSEaMaMGXryySd/8rVOv2MrKirKpz0qKsp7rKSkRB07dqx2bseOHWt8R9dpHo9H5eXlPhsAAGg%2BAipgSdLevXtVVVVl7Hqn37F1mmVZPm1nH6%2Bpz9mysrK8D8W7XC7FxsYaqxcAANifbW8Rzpw502ffsiwVFxfr/fff1%2B233/6Tr%2B92uyX9uEoVHR3tbS8tLfWuarndbh04cKDauQcPHqy28nWmjIwMTZs2zbtfXl5OyAIAoBmxbcBav369z/4FF1ygDh06aN68eUpPT//J14%2BLi5Pb7VZ2drZ69%2B4tSTp%2B/LhycnL0%2BOOPS5KSkpJUVlamDRs26Be/%2BIWkH98mX1ZWpv79%2B9d6bafTKafT%2BZNrBAAAgcm2AevTTz/9ydeoqKjQ7t27vfuFhYXasmWLIiMj1blzZ02ZMkVz585Vt27d1K1bN82dO1dt2rTR2LFjJUmXXXaZhg0bpvT0dL344ouSfnxNw4gRI3jAHQAA1Mq2AcuE/Px8DRo0yLt/%2BrZdWlqaFi1apJkzZ%2Bro0aO69957dfjwYV111VVatWqV9x1YkrRkyRLdf//93t82HDVqlObPn9%2B0AwEAAAHFtgGrX79%2BdT5IfqYNGzbU2D5w4EBZllXreQ6HQ5mZmcrMzKy1T2RkpN5444161QEAACDZOGANGjRIL774orp3766kpCRJUl5ennbu3KmJEyfyjBMAALAt2was77//XpMmTdLcuXN92mfPnq0DBw7olVde8VNlAAAAdbPte7Deeust3XXXXdXax40bp7ffftsPFQEAANSPbQOW0%2BlUbm5utfbc3FxuDwIAAFuz7S3C%2B%2B%2B/X/fcc48KCgqUmJgo6cdnsF5%2B%2BWU9%2BOCDfq4OAACgdrYNWLNnz1ZcXJyee%2B45/elPf5L043upXn75Ze97qgAAAOzItgFLksaOHUuYAgAAAce2z2BJP/4Nv0WLFun3v/%2B9Dh8%2BLEnaunWriouL/VwZAABA7Wy7grV9%2B3Zdf/31atOmjYqKijRu3DhFRETorbfe0v79%2B7V48WJ/lwgAAFAj265gTZ06VWPHjtWePXvUqlUrb/vw4cO1bt06P1YGAABQN9uuYG3cuFELFiyo9udyfvazn3GLEAAA2JptV7BCQ0NVUVFRrX3Xrl1q3769HyoCAACoH9sGrFGjRunf/u3fdOLECUk//mHmv/71r5o1a5ZGjx7t5%2BoAAABqZ9uA9Yc//EHfffed3G63jh49qsGDB%2BuSSy5Rq1atqv19QgAAADux7TNYLpdLubm5ys7O1ubNm3Xq1Cn16dNHQ4cOrfZcFgAAgJ3YMmBVVVXpxhtv1AsvvKDk5GQlJyf7uyQAAIB6s%2BUtwpYtW6qgoICVKgAAEJBsGbAk6Y477tDChQv9XQYAAECD2fIW4Wnz58/X6tWrlZCQoLZt2/oce%2BKJJ/xUFQAAQN1sG7A2bdqkK6%2B8UpK0bds2n2PcOgQAAHZmu4C1d%2B9excXF6dNPP/V3KQAAAOfFds9gdevWTQcPHvTu33bbbTpw4IAfKwIAAGgY2wUsy7J89j/88ENVVlb6qRoAAICGs13AAgAACHS2C1gOh6PaQ%2Bw81A4AAAKJ7R5ytyxL48aNk9PplCQdO3ZM99xzT7XXNLz77rv%2BKA8AAOCcbBew0tLSfPbvuOMOP1UCAABwfmwXsHh7OwAACHS2ewarqV188cXe577O3CZNmiRJGjhwYLVjY8aM8XPVAADAzmy3gtXUNm7cqJMnT3r3t2/frhtuuEG/%2BtWvvG3p6el65JFHvPutW7du0hoBAEBgafYBq0OHDj778%2BbNU9euXTVgwABvW5s2beR2u5u6NAAAEKCa/S3CMx0/flxvvPGGxo8f7/NqiCVLlqh9%2B/a64oorNGPGDB05csSPVQIAALtr9itYZ1qxYoW%2B//57jRs3ztt2%2B%2B23Ky4uTm63W9u3b1dGRoa2bt2q7OzsWq/j8Xjk8Xi8%2B%2BXl5Y1ZNgAAsBkC1hleffVVpaSkKCYmxtuWnp7u/To%2BPl7dunVTQkKCNm/erD59%2BtR4naysLM2ZM6fR6wUAAPbELcJ/%2BPbbb7V69Wrdfffddfbr06ePWrZsqV27dtXaJyMjQ2VlZd6tqKjIdLkAAMDGWMH6h4ULF6pjx44aPnx4nf127NihqqoqRUdH19rH6XR630QPAACaHwKWpFOnTmnhwoVKS0tTSMj//0j27NmjJUuW6MYbb1T79u315Zdfavr06erdu7euvvpqP1YMAADsjIAlafXq1dq3b5/Gjx/v0x4aGqqPP/5Yzz33nCoqKhQbG6vhw4fr4YcfVosWLfxULQAAsDsClqTk5GRZllWtPTY2Vjk5OX6oCAAABDIecgcAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADD%2BC1CADiHhNkr/V1Cg%2BQ/NszfJQDNHitYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAsGYfsDIzM%2BVwOHw2t9vtPW5ZljIzMxUTE6PWrVtr4MCB2rFjhx8rBgAAdtfsA5YkXXHFFSouLvZuX3zxhffYE088oaefflrz58/Xxo0b5Xa7dcMNN%2BjIkSN%2BrBgAANgZAUtSSEiI3G63d%2BvQoYOkH1evnn32Wc2ePVujR49WfHy8Fi9erB9%2B%2BEFvvvmmn6sGAAB2RcCStGvXLsXExCguLk5jxozR3r17JUmFhYUqKSlRcnKyt6/T6dSAAQOUm5vrr3IBAIDNhfi7AH%2B76qqr9Nprr6l79%2B46cOCAHn30UfXv3187duxQSUmJJCkqKsrnnKioKH377be1XtPj8cjj8Xj3y8vLG6d4AABgS80%2BYKWkpHi/7tmzp5KSktS1a1ctXrxYiYmJkiSHw%2BFzjmVZ1drOlJWVpTlz5jROwQAAwPa4RXiWtm3bqmfPntq1a5f3twlPr2SdVlpaWm1V60wZGRkqKyvzbkVFRY1aMwAAsBcC1lk8Ho%2B%2B%2BuorRUdHKy4uTm63W9nZ2d7jx48fV05Ojvr371/rNZxOp8LDw302AADQfDT7W4QzZszQyJEj1blzZ5WWlurRRx9VeXm50tLS5HA4NGXKFM2dO1fdunVTt27dNHfuXLVp00Zjx471d%2BkAAMCmmn3A2r9/v37961/r0KFD6tChgxITE5WXl6cuXbpIkmbOnKmjR4/q3nvv1eHDh3XVVVdp1apVCgsL83PlAADArpp9wFq6dGmdxx0OhzIzM5WZmdk0BQEAgIDHM1gAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwrNkHrKysLPXr109hYWHq2LGjbrrpJu3cudOnz8CBA%2BVwOHy2MWPG%2BKliAABgd80%2BYOXk5GjSpEnKy8tTdna2Tpw4oeTkZFVWVvr0S09PV3FxsXd78cUX/VQxAACwuxB/F%2BBvK1eu9NlfuHChOnbsqE2bNum6667ztrdp00Zut7upywMAAAGo2a9gna2srEySFBkZ6dO%2BZMkStW/fXldccYVmzJihI0eO%2BKM8AAAQAJr9CtaZLMvStGnTdM011yg%2BPt7bfvvttysuLk5ut1vbt29XRkaGtm7dquzs7Bqv4/F45PF4vPvl5eWNXjsAALAPAtYZ7rvvPm3btk2fffaZT3t6err36/j4eHXr1k0JCQnavHmz%2BvTpU%2B06WVlZmjNnTqPXCwAA7IlbhP8wefJkvf/%2B%2B1qzZo06depUZ98%2BffqoZcuW2rVrV43HMzIyVFZW5t2Kiooao2QAAGBTzX4Fy7IsTZ48WcuXL9fatWsVFxd3znN27NihqqoqRUdH13jc6XTK6XSaLhUAAASIZh%2BwJk2apDfffFPvvfeewsLCVFJSIklyuVxq3bq19uzZoyVLlujGG29U%2B/bt9eWXX2r69Onq3bu3rr6J7DkHAAALxElEQVT6aj9XDwAA7KjZ3yJcsGCBysrKNHDgQEVHR3u3ZcuWSZJCQ0P18ccfa%2BjQoerRo4fuv/9%2BJScna/Xq1WrRooWfqwcAAHbU7FewLMuq83hsbKxycnKaqBoAABAMmv0KFgAAgGkELAAAAMMIWAAAAIYRsAAAAAwjYAEAABjW7H%2BLEKhNwuyV/i6hQfIfG%2BbvEgAA/8AKFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwLMTfBeCnSZi90t8l1Fv%2BY8P8XQIAAE2CFSwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQSsenrhhRcUFxenVq1aqW/fvvr000/9XRIAALApAlY9LFu2TFOmTNHs2bNVUFCga6%2B9VikpKdq3b5%2B/SwMAADZEwKqHp59%2BWhMmTNDdd9%2Btyy67TM8%2B%2B6xiY2O1YMECf5cGAABsiL9FeA7Hjx/Xpk2bNGvWLJ/25ORk5ebm1niOx%2BORx%2BPx7peVlUmSysvLjdd30lNp/JqNpTHG35gC6WcrBd7PN5Dw30Lj4WfbuALp59sYP9vT17Qsy/i1z4WAdQ6HDh3SyZMnFRUV5dMeFRWlkpKSGs/JysrSnDlzqrXHxsY2So2BwvUHf1cQ3Pj54jT%2BW2g8/GwbT2P%2BbI8cOSKXy9V436AGBKx6cjgcPvuWZVVrOy0jI0PTpk3z7p86dUp///vf1a5du1rPOR/l5eWKjY1VUVGRwsPDjV3X34J1XFLwji1YxyUxtkAUrOOSgndsjTUuy7J05MgRxcTEGLtmfRGwzqF9%2B/Zq0aJFtdWq0tLSaqtapzmdTjmdTp%2B2iy66qNFqDA8PD6r/0U4L1nFJwTu2YB2XxNgCUbCOSwresTXGuJp65eo0HnI/h9DQUPXt21fZ2dk%2B7dnZ2erfv7%2BfqgIAAHbGClY9TJs2TampqUpISFBSUpJeeukl7du3T/fcc4%2B/SwMAADbUIjMzM9PfRdhdfHy82rVrp7lz5%2Bqpp57S0aNH9frrr6tXr17%2BLk0tWrTQwIEDFRISXFk5WMclBe/YgnVcEmMLRME6Lil4xxZs43JY/vjdRQAAgCDGM1gAAACGEbAAAAAMI2ABAAAYRsACAAAwjIBlU%2BvWrdPIkSMVExMjh8OhFStWnPOcnJwc9e3bV61atdIll1yi//iP/2iCShuuoWNbu3atHA5Hte0vf/lLE1VcP1lZWerXr5/CwsLUsWNH3XTTTdq5c%2Bc5z3vnnXd0%2BeWXy%2Bl06vLLL9fy5cuboNr6O59xLVq0qMY5O3bsWBNVXT8LFizQlVde6X25YVJSkj766KM6z7H7fJ3W0LEFypydLSsrSw6HQ1OmTKmzX6DM22n1GVegzFlmZma1Gt1ud53nBMrnWV0IWDZVWVmpXr16af78%2BfXqX1hYqBtvvFHXXnutCgoK9OCDD%2Br%2B%2B%2B/XO%2B%2B808iVNlxDx3bazp07VVxc7N26devWSBWen5ycHE2aNEl5eXnKzs7WiRMnlJycrMrK2v/Y6vr163XbbbcpNTVVW7duVWpqqm699VZ9/vnnTVh53c5nXNKPb2Q%2Bc76Ki4vVqlWrJqq6fjp16qR58%2BYpPz9f%2Bfn5Gjx4sP75n/9ZO3bsqLF/IMzXaQ0dmxQYc3amjRs36qWXXtKVV15ZZ79Amjep/uOSAmfOrrjiCp8av/jii1r7BtLnWZ0s2J4ka/ny5XX2mTlzpnXppZf6tE2cONFKTExszNJ%2BsvqMbc2aNZYk6/Dhw01UlRmlpaWWJCsnJ6fWPrfeeqs1bNgwn7ahQ4daY8aMaezyzlt9xrVw4ULL5XI1YVXmREREWK%2B88kqNxwJxvs5U19gCbc6OHDlidevWzcrOzrYGDBhgPfDAA7X2DaR5a8i4AmXOHn74YatXr1717h%2Bon2dnYwUrSKxfv17Jyck%2BbUOHDlV%2Bfr6qqqr8VJVZvXv3VnR0tIYMGaI1a9b4u5xzKisrkyRFRkbW2qe2ecvNzW3U2n6K%2BoxLkioqKtSlSxd16tRJI0aMUEFBQVOUd95OnjyppUuXqrKyUklJSTX2CcT5kuo3Nimw5mzSpEkaPny4rr/%2B%2BnP2DaR5a8i4pMCZs127dikmJkZxcXEaM2aM9u7dW2vfYPk8C47XpUIlJSXV/vh0VFSUTpw4oUOHDik6OtpPlf100dHReumll9S3b195PB69/vrrGjJkiNauXavrrrvO3%2BXVyLIsTZs2Tddcc43i4%2BNr7VfbvJ39x8Xtor7juvTSS7Vo0SL17NlT5eXleu6553T11Vdr69attru1%2B8UXXygpKUnHjh3ThRdeqOXLl%2Bvyyy%2BvsW%2BgzVdDxhZIc7Z06VJt2rRJ%2Bfn59eofKPPW0HEFypxdddVVeu2119S9e3cdOHBAjz76qPr3768dO3aoXbt21foHy%2BcZASuIOBwOn33rHy/pP7s90PTo0UM9evTw7iclJamoqEhPPfWUbQPWfffdp23btumzzz47Z9%2Ba5s2uc1bfcSUmJioxMdG7f/XVV6tPnz764x//qOeff76xy2yQHj16aMuWLfr%2B%2B%2B/1zjvvKC0tTTk5ObUGkUCar4aMLVDmrKioSA888IBWrVrVoGeN7D5v5zOuQJmzlJQU79c9e/ZUUlKSunbtqsWLF2vatGk1nhMMn2fcIgwSbre72r/GSktLFRISUuO/EAJdYmKidu3a5e8yajR58mS9//77WrNmjTp16lRn39rm7ex/vdlBQ8Z1tgsuuED9%2BvWz5ZyFhobqn/7pn5SQkKCsrCz16tVLzz33XI19A2m%2BpIaN7Wx2nbNNmzaptLRUffv2VUhIiEJCQpSTk6Pnn39eISEhOnnyZLVzAmHezmdcZ7PrnJ2tbdu26tmzZ611BsvnGQErSCQlJSk7O9unbdWqVUpISFDLli39VFXjKSgosN0ysWVZuu%2B%2B%2B/Tuu%2B/qk08%2BUVxc3DnPqW3e%2Bvfv31hlNtj5jKuma2zZssV2c1YTy7Lk8XhqPBYI81WXusZWU187ztmQIUP0xRdfaMuWLd4tISFBt99%2Bu7Zs2aIWLVpUOycQ5u18xnU2u87Z2Twej7766qta6wyazzN/PFmPczty5IhVUFBgFRQUWJKsp59%2B2iooKLC%2B/fZby7Isa9asWVZqaqq3/969e602bdpYU6dOtb788kvr1VdftVq2bGn913/9l7%2BGUKuGju2ZZ56xli9fbn399dfW9u3brVmzZlmSrHfeecdfQ6jRb37zG8vlcllr1661iouLvdsPP/zg7ZOammrNmjXLu/%2B///u/VosWLax58%2BZZX331lTVv3jwrJCTEysvL88cQanQ%2B48rMzLRWrlxp7dmzxyooKLDuuusuKyQkxPr888/9MYRaZWRkWOvWrbMKCwutbdu2WQ8%2B%2BKB1wQUXWKtWrbIsKzDn67SGji1Q5qwmZ/%2B2XSDP25nONa5AmbPp06dba9eutfbu3Wvl5eVZI0aMsMLCwqxvvvnGsqzA/jyrCwHLpk6/muDsLS0tzbIsy0pLS7MGDBjgc87atWut3r17W6GhodbFF19sLViwoOkLr4eGju3xxx%2B3unbtarVq1cqKiIiwrrnmGuuDDz7wT/F1qGlMkqyFCxd6%2BwwYMMA7ztPefvttq0ePHlbLli2tSy%2B91HbB8XzGNWXKFKtz585WaGio1aFDBys5OdnKzc1t%2BuLPYfz48VaXLl28dQ4ZMsQbQCwrMOfrtIaOLVDmrCZnB5FAnrcznWtcgTJnt912mxUdHW21bNnSiomJsUaPHm3t2LHDezyQP8/q4rCsfzw5BgAAACN4BgsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGH/B/nWhRxfPGVXAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common4499197529932173052\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">195</td>\n",
       "        <td class=\"number\">49.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">106</td>\n",
       "        <td class=\"number\">26.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:54%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">68</td>\n",
       "        <td class=\"number\">17.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">18</td>\n",
       "        <td class=\"number\">4.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme4499197529932173052\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">18</td>\n",
       "        <td class=\"number\">4.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">68</td>\n",
       "        <td class=\"number\">17.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">195</td>\n",
       "        <td class=\"number\">49.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">106</td>\n",
       "        <td class=\"number\">26.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:54%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">18</td>\n",
       "        <td class=\"number\">4.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">68</td>\n",
       "        <td class=\"number\">17.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">195</td>\n",
       "        <td class=\"number\">49.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">106</td>\n",
       "        <td class=\"number\">26.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:54%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_famsize\">famsize<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6529983958966289799\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>GT3</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 71.1%\">\n",
       "            281\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>LE3</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:41%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 28.9%\">\n",
       "            114\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6529983958966289799, #minifreqtable-6529983958966289799\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6529983958966289799\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">GT3</td>\n",
       "        <td class=\"number\">281</td>\n",
       "        <td class=\"number\">71.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">LE3</td>\n",
       "        <td class=\"number\">114</td>\n",
       "        <td class=\"number\">28.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:41%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_famsup\">famsup<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-9009024193901502740\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>yes</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 61.3%\">\n",
       "            242\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>no</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:63%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 38.7%\">\n",
       "            153\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-9009024193901502740, #minifreqtable-9009024193901502740\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-9009024193901502740\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">yes</td>\n",
       "        <td class=\"number\">242</td>\n",
       "        <td class=\"number\">61.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">no</td>\n",
       "        <td class=\"number\">153</td>\n",
       "        <td class=\"number\">38.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:63%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_freetime\">freetime<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>3.2354</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>1</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram7718038856558682390\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAbtJREFUeJzt2jGO01AUhtHriNZewMjeBYtgT9TsiUWwC1tZgCMKCmIKCAWgn0kxz%2BPMOWWi5DqRPz356XXbtm3V2LIsNU1T67Ec3DzPNY5j05nvmk77pe/7qvr5g4dh2OMSOJB1XWuapt/3TUu7BNJ1XVVVDcMgkD%2B8//j57s98%2BfThBa7k9bndNy2dmk%2BEAxEIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQ7HJYkX05EPl8VhAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgELzZ4%2B6OfPMcVhAIBAKBQCAQCAQCgUAgELzZbV5e3iNspVtBIBAIBAKBQCAQCASCV7eL9Qg7HzwOKwgEAoFAIBAIBIJdHtK3bauqqnVd/3rv%2B7evd3/fv77nf1rNuVeL6zraf3x77XbftNRtO0xdlqWmaWo9loOb57nGcWw6c5dArtdrnc/n6vu%2Buq5rPZ6D2batLpdLPT091enU9qlgl0DgKDykQyAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBD8AMj6ZqSyroQiAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives7718038856558682390,#minihistogram7718038856558682390\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives7718038856558682390\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles7718038856558682390\"\n",
       "                                                  aria-controls=\"quantiles7718038856558682390\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram7718038856558682390\" aria-controls=\"histogram7718038856558682390\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common7718038856558682390\" aria-controls=\"common7718038856558682390\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme7718038856558682390\" aria-controls=\"extreme7718038856558682390\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles7718038856558682390\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.99886</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.30872</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.30181</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>3.2354</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.80256</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.16335</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>1278</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.99773</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram7718038856558682390\">\n",
       "            <img 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dWXFxssHIAAGB3tg1Y33zzjV5%2B%2BWWVlJRo8ODB6tmzp5555hkdO3bMyPVjY2MVFRWlrKwsd9vp06eVnZ2t%2BPh4SVJcXJxcLpdHwNu1a5dcLpe7T02Cg4MVFhbmsQEAgObDtgErICBA48eP19atW3X48GElJyfr5ZdfVocOHTR%2B/Hi9%2BeabsiyrzmtUVlaqsLBQhYWFkn5Y2F5YWKjDhw/L4XAoJSVF6enp2rx5s/bs2aMpU6aoZcuWmjx5siSpe/fuGjVqlKZOnarc3Fzl5uZq6tSpSkxM5BuEAACgVj6xyD0qKkrDhw/XoUOH9OWXXyovL0/vvvuurrrqKq1evVo33nhjjefl5eVp2LBh7v1Zs2ZJkpKTk7VmzRrNmTNHJ0%2Be1AMPPKDy8nINHDhQ27ZtU2hoqPucDRs2aObMme5vG44bN67W52oBAABINg9Y3377rdavX6/Vq1erqKhIY8eO1ZYtWzRy5EidOHFCv/3tb3XXXXfp4MGDNZ4/dOjQOu9yORwOpaWlKS0trdY%2B4eHhWr9%2B/T87FAAA0IzYNmD94he/0FtvvaXY2Fj9%2Bte/VnJysq666ir38Z/85CeaM2eOli5d6sUqAQAAqrNtwAoLC9M777xT68d/ktS%2BfXt9/vnnTVgVAADApdk2YK1du/aSfRwOh6655pomqAYAAKD%2BbPstwocffrjGxeR/%2BMMfNHv2bC9UBAAAUD%2B2DVivvfaaBg0aVK09Li5Or7zyihcqAgAAqB/bBqxvv/1Wbdq0qdYeFhamb7/91gsVAQAA1I9tA9Y111yjt99%2Bu1r722%2B/rdjYWC9UBAAAUD%2B2XeSekpKilJQU/e///q9uvvlmSdK7776rRYsW6emnn/ZydQAAALWzbcCaOnWqTp06pfT0dP3ud7%2BTJHXo0EFLly7VPffc4%2BXqAAAAamfbgCVJM2bM0IwZM1RSUqIrr7xSrVu39nZJAAAAl2TrgHVB%2B/btvV0CAABAvdl2kfuxY8d09913q2PHjgoJCVFQUJDHBgAAYFe2vYM1ZcoUffnll3r00UfVvn17ORwOb5cEAABQL7YNWDt27NCOHTvUt29fb5cCAADQILb9iLBDhw7ctQIAAD7JtgHr2WefVWpqqo4cOeLtUgAAABrEth8RJiUl6fjx4%2BrUqZPCwsIUGBjocbysrMxLlQEAANTNtgFrwYIF3i4BAADgstg2YN17773eLgEAAOCy2HYNliR99dVXSktLU1JSkvsjwW3btmnfvn1ergwAAKB2tg1YH3zwgXr27Kns7Gy9%2BuqrqqyslCTt3r1bTz75pJerAwAAqJ1tA9Zjjz2mtLQ0vf/%2B%2Bx5Pbr/55puVm5vrxcoAAADqZtuA9emnn%2BqXv/xltfaIiAgdO3bMCxUBAADUj20DVuvWrVVaWlqtvbCwUD/96U%2B9UBEAAED92DZgTZo0SXPnztWxY8fcT3TftWuXHnnkEd15551erg4AAKB2tg1Y6enpioqKUvv27VVZWakePXooPj5eAwYM0BNPPOHt8gAAAGpl2%2BdgBQUF6ZVXXtH%2B/fu1e/dunT9/Xtdff726devm7dIAAADqZNuAdUGXLl3UpUsXb5cBAABQb7YNWPfdd1%2Bdx1euXGnkdc6ePau0tDRt2LBBpaWlat%2B%2BvaZMmaLf/va3uuKKHz5BtSxL8%2BfP18qVK1VeXq6BAwfqD3/4g3r27GmkBgAA4F9sG7BKSko89s%2BcOaO9e/fq%2BPHjuummm4y9zsKFC/XCCy9o7dq16tmzp/Ly8nT33XfL6XTqoYcekiQtWrRIixcv1po1a9SlSxf9/ve/1y233KKioiKFhoYaqwUAAPgH2wasv/71r9Xazp49q9/85jfq3r27sdfZuXOnbrvtNo0ZM0aSdPXVV%2BvPf/6z8vLyJP1w92rJkiWaN2%2Bexo8fL0lau3atIiMjtXHjRk2bNs1YLQAAwD/Y9luENQkICNAjjzyi//iP/zB2zcGDB%2Bvdd9/V/v37JUmffPKJPvzwQ916662SpIMHD6q0tFQJCQnuc4KDgzVkyBDl5OQYqwMAAPgP297Bqs2BAwd05swZY9d77LHH5HK51K1bN7Vo0ULnzp3TU089pX/913%2BVJPfDTiMjIz3Oi4yM1KFDh2q8ZlVVlaqqqtz7FRUVxuoFAAD2Z9uANWfOHI99y7JUUlKirVu36o477jD2Oq%2B88orWr1%2BvjRs3qmfPniosLFRKSoqio6OVnJzs7nfhYac/rufitgsyMjI0f/58YzUCAADfYtuAtXPnTo/9K664QldddZUWLFigqVOnGnudRx99VHPnztWkSZMkSb1799ahQ4eUkZGh5ORkRUVFSZL7G4YXlJWVVburdUFqaqpmzZrl3q%2BoqFBMTIyxmgEAgL3ZNmB98MEHTfI633//vftxDBe0aNFC58%2BflyTFxsYqKipKWVlZ6tu3ryTp9OnTys7O1sKFC2u8ZnBwsIKDgxu3cAAAYFu2DVhNZezYsXrqqafUsWNH9ezZUwUFBVq8eLHuueceST98NJiSkqL09HR17txZnTt3Vnp6ulq2bKnJkyd7uXoAAGBHtg1YAwYMqHWN08U%2B%2Buijy36dZcuW6YknntADDzygsrIyRUdHa9q0aXryySfdfebMmaOTJ0/qgQcecD9odNu2bTwDCwAA1Mi2AWvYsGF68cUX1aVLF8XFxUmScnNzVVRUpGnTphn7CC40NFRLlizRkiVLau3jcDiUlpamtLQ0I68JAAD8m20D1nfffafp06crPT3do33evHk6evSo/vjHP3qpMgAAgLrZ9kGjr776qu6%2B%2B%2B5q7VOmTNFrr73mhYoAAADqx7YBKzg4uMYnpefk5PANPQAAYGu2/Yhw5syZuv/%2B%2B1VQUKBBgwZJ%2BmEN1qpVq/T44497uToAAIDa2TZgzZs3T7GxsXruuef08ssvS5K6d%2B%2BuVatW8XgEAABga7YNWJI0efJkwhQAAPA5tl2DJf3wK2bWrFmjJ598UuXl5ZKkTz75RCUlJV6uDAAAoHa2vYO1Z88ejRgxQi1btlRxcbGmTJmiNm3a6NVXX9WRI0e0du1ab5cIAABQI9vewXr44Yc1efJkffnllwoJCXG3jxkzRjt27PBiZQAAAHWz7R2sjz/%2BWCtWrKj263J%2B%2BtOf8hEhAACwNdvewQoKClJlZWW19s8//1zt2rXzQkUAAAD1Y9uANW7cOP37v/%2B7zp49K%2BmH3wf49ddfa%2B7cuRo/fryXqwMAAKidbQPWM888o2%2B%2B%2BUZRUVE6efKkbr75Zv3sZz9TSEhItd9PCAAAYCe2XYPldDqVk5OjrKws7d69W%2BfPn9f111%2BvkSNHVluXBQAAYCe2DFhnzpzRrbfequeff14JCQlKSEjwdkkAAAD1ZsuPCAMDA1VQUMCdKgAA4JNsGbAk6c4779Tq1au9XQYAAECD2fIjwguWL1%2Bud955R/3791erVq08ji1atMhLVQEAANTNtgErPz9f1157rSTp008/9TjGR4cAAMDObBewDhw4oNjYWH3wwQfeLgUAAOCy2G4NVufOnXXs2DH3/sSJE3X06FEvVgQAANAwtgtYlmV57L/11ls6ceKEl6oBAABoONsFLAAAAF9nu4DlcDiqLWJnUTsAAPAltlvkblmWpkyZouDgYEnSqVOndP/991d7TMMbb7zhjfIAAAAuyXYBKzk52WP/zjvv9FIlaO76z8v0dgkNkvfUKG%2BXAAD4B9sFLJ7eDgAAfJ3t1mABAAD4OgKWpK%2B//lp33nmn2rZtq5YtW%2Bq6665Tfn6%2B%2B7hlWUpLS1N0dLSuvPJKDR06VHv37vVixQAAwM6afcAqLy/XDTfcoMDAQP3tb3/T3//%2Bdz3zzDNq3bq1u8%2BiRYu0ePFiLV%2B%2BXB9//LGioqJ0yy236Pjx416sHAAA2JXt1mA1tYULFyomJsZj7dfVV1/t/rNlWVqyZInmzZun8ePHS5LWrl2ryMhIbdy4UdOmTWvqkgEAgM01%2BztYW7duVf/%2B/fWrX/1KERER6tu3r1atWuU%2BfvDgQZWWliohIcHdFhwcrCFDhignJ8cbJQMAAJtr9gHrwIEDWrFihTp37qy3335b999/v2bOnKk//elPkqTS0lJJUmRkpMd5kZGR7mMXq6qqUkVFhccGAACaj2b/EeH58%2BfVv39/paenS5L69u2rvXv3asWKFbrrrrvc/S5%2BmrxlWbU%2BYT4jI0Pz589vvKIBAICtNfs7WO3bt1ePHj082rp3767Dhw9LkqKioiSp2t2qsrKyane1LkhNTZXL5XJvxcXFjVA5AACwq2YfsG644QYVFRV5tO3fv1%2BdOnWSJMXGxioqKkpZWVnu46dPn1Z2drbi4%2BNrvGZwcLDCwsI8NgAA0Hw0%2B48IH374YcXHxys9PV0TJkzQRx99pJUrV2rlypWSfvhoMCUlRenp6ercubM6d%2B6s9PR0tWzZUpMnT/Zy9QAAwI6afcAaMGCANm/erNTUVP3bv/2bYmNjtWTJEt1xxx3uPnPmzNHJkyf1wAMPqLy8XAMHDtS2bdsUGhrqxcoBAIBdNfuAJUmJiYlKTEys9bjD4VBaWprS0tKarigAAOCzmv0aLAAAANMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwPqRjIwMORwOpaSkuNuqqqo0Y8YMtWvXTq1atdK4ceN05MgRL1YJAADsjoD1Dx9//LFWrlypa6%2B91qM9JSVFmzdv1qZNm/Thhx%2BqsrJSiYmJOnfunJcqBQAAdkfAklRZWak77rhDq1atUps2bdztLpdLL730kp555hmNGDFCffv21fr16/XZZ5/pnXfe8WLFAADAzghYkqZPn64xY8ZoxIgRHu35%2Bfk6c%2BaMEhIS3G3R0dHq1auXcnJyar1eVVWVKioqPDYAANB8BHi7AG/btGmT8vPzlZeXV%2B1YaWmpgoKCPO5qSVJkZKRKS0trvWZGRobmz59vvFYAABqi/7xMb5dQb3lPjfJ2CUY16ztYxcXFeuihh7RhwwaFhITU%2BzzLsuRwOGo9npqaKpfL5d6Ki4tNlAsAAHxEsw5Y%2Bfn5KisrU79%2B/RQQEKCAgABlZ2dr6dKlCggIUGRkpE6fPq3y8nKP88rKyhQZGVnrdYODgxUWFuaxAQCA5qNZB6zhw4frs88%2BU2FhoXvr37%2B/7rjjDvefAwMDlZWV5T6npKREe/bsUXx8vBcrBwAAdtas12CFhoaqV69eHm2tWrVS27Zt3e333nuvZs%2BerbZt2yo8PFyPPPKIevfuXW1BPAAAwAXNOmDVx7PPPquAgABNmDBBJ0%2Be1PDhw7VmzRq1aNHC26UBAACbImBdZPv27R77ISEhWrZsmZYtW%2BadggAAgM9p1muwAAAAGgMBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMOafcDKyMjQgAEDFBoaqoiICN1%2B%2B%2B0qKiry6FNVVaUZM2aoXbt2atWqlcaNG6cjR454qWIAAGB3zT5gZWdna/r06crNzVVWVpbOnj2rhIQEnThxwt0nJSVFmzdv1qZNm/Thhx%2BqsrJSiYmJOnfunBcrBwAAdhXg7QK8LTMz02N/9erVioiIUH5%2Bvm666Sa5XC699NJLWrdunUaMGCFJWr9%2BvWJiYvTOO%2B9o5MiR3igbAADYWLO/g3Uxl8slSQoPD5ck5efn68yZM0pISHD3iY6OVq9evZSTk1PjNaqqqlRRUeGxAQCA5oOA9SOWZWnWrFkaPHiwevXqJUkqLS1VUFCQ2rRp49E3MjJSpaWlNV4nIyNDTqfTvcXExDR67QAAwD4IWD/y4IMP6tNPP9Wf//znS/a1LEsOh6PGY6mpqXK5XO6tuLjYdKkAAMDGmv0arAtmzJihrVu3aseOHerQoYO7PSoqSqdPn1Z5ebnHXayysjLFx8fXeK3g4GAFBwc3es1pms8eAAAME0lEQVSS1H9e5qU72UTeU6O8XQIAAE2i2d/BsixLDz74oN544w299957io2N9Tjer18/BQYGKisry91WUlKiPXv21BqwAABA89bs72BNnz5dGzdu1H/%2B538qNDTUva7K6XTqyiuvlNPp1L333qvZs2erbdu2Cg8P1yOPPKLevXu7v1UIAADwY80%2BYK1YsUKSNHToUI/21atXa8qUKZKkZ599VgEBAZowYYJOnjyp4cOHa82aNWrRokUTVwsAAHxBsw9YlmVdsk9ISIiWLVumZcuWNUFFAADA1zX7NVgAAACmEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIBVT88//7xiY2MVEhKifv366YMPPvB2SQAAwKYIWPXwyiuvKCUlRfPmzVNBQYFuvPFGjR49WocPH/Z2aQAAwIYIWPWwePFi3Xvvvfr1r3%2Bt7t27a8mSJYqJidGKFSu8XRoAALChAG8XYHenT59Wfn6%2B5s6d69GekJCgnJycGs%2BpqqpSVVWVe9/lckmSKioqjNd3ruqE8Ws2lsYYf2PypZ%2Bt5Hs/X1/C34XGw8%2B2cfnSz7cxfrYXrmlZlvFrXwoB6xK%2B/fZbnTt3TpGRkR7tkZGRKi0trfGcjIwMzZ8/v1p7TExMo9ToK5zPeLsC/8bPFxfwd6Hx8LNtPI35sz1%2B/LicTmfjvUANCFj15HA4PPYty6rWdkFqaqpmzZrl3j9//rz%2B7//%2BT23btq31nMtRUVGhmJgYFRcXKywszNh1vc1fxyX579j8dVwSY/NF/jouyX/H1ljjsixLx48fV3R0tLFr1hcB6xLatWunFi1aVLtbVVZWVu2u1gXBwcEKDg72aGvdunWj1RgWFuZX/9Au8NdxSf47Nn8dl8TYfJG/jkvy37E1xria%2Bs7VBSxyv4SgoCD169dPWVlZHu1ZWVmKj4/3UlUAAMDOuINVD7NmzVJSUpL69%2B%2BvuLg4rVy5UocPH9b999/v7dIAAIANtUhLS0vzdhF216tXL7Vt21bp6el6%2BumndfLkSa1bt059%2BvTxdmlq0aKFhg4dqoAA/8rK/jouyX/H5q/jkhibL/LXcUn%2BOzZ/G5fD8sZ3FwEAAPwYa7AAAAAMI2ABAAAYRsACAAAwjIAFAABgGAHLpnbs2KGxY8cqOjpaDodDW7ZsueQ52dnZ6tevn0JCQvSzn/1ML7zwQhNU2nANHdv27dvlcDiqbf/zP//TRBXXT0ZGhgYMGKDQ0FBFRETo9ttvV1FR0SXPe/3119WjRw8FBwerR48e2rx5cxNUW3%2BXM641a9bUOGenTp1qoqrrZ8WKFbr22mvdDzeMi4vT3/72tzrPsft8XdDQsfnKnF0sIyNDDodDKSkpdfbzlXm7oD7j8pU5S0tLq1ZjVFRUnef4yvtZXQhYNnXixAn16dNHy5cvr1f/gwcP6tZbb9WNN96ogoICPf7445o5c6Zef/31Rq604Ro6tguKiopUUlLi3jp37txIFV6e7OxsTZ8%2BXbm5ucrKytLZs2eVkJCgEydq/2WrO3fu1MSJE5WUlKRPPvlESUlJmjBhgnbt2tWEldftcsYl/fBE5h/PV0lJiUJCQpqo6vrp0KGDFixYoLy8POXl5enmm2/Wbbfdpr1799bY3xfm64KGjk3yjTn7sY8//lgrV67UtddeW2c/X5o3qf7jknxnznr27OlR42effVZrX196P6uTBduTZG3evLnOPnPmzLG6devm0TZt2jRr0KBBjVnaP60%2BY3v//fctSVZ5eXkTVWVGWVmZJcnKzs6utc%2BECROsUaNGebSNHDnSmjRpUmOXd9nqM67Vq1dbTqezCasyp02bNtYf//jHGo/54nz9WF1j87U5O378uNW5c2crKyvLGjJkiPXQQw/V2teX5q0h4/KVOfvd735n9enTp979ffX97GLcwfITO3fuVEJCgkfbyJEjlZeXpzNnznipKrP69u2r9u3ba/jw4Xr//fe9Xc4luVwuSVJ4eHitfWqbt5ycnEat7Z9Rn3FJUmVlpTp16qQOHTooMTFRBQUFTVHeZTt37pw2bdqkEydOKC4ursY%2BvjhfUv3GJvnWnE2fPl1jxozRiBEjLtnXl%2BatIeOSfGfOPv/8c0VHRys2NlaTJk3SgQMHau3rL%2B9n/vG4VKi0tLTaL5%2BOjIzU2bNn9e2336p9%2B/Zequyf1759e61cuVL9%2BvVTVVWV1q1bp%2BHDh2v79u266aabvF1ejSzL0qxZszR48GD16tWr1n61zdvFv1zcLuo7rm7dumnNmjXq3bu3Kioq9Nxzz%2BmGG27QJ598YruPdj/77DPFxcXp1KlT%2BslPfqLNmzerR48eNfb1tflqyNh8ac42bdqk/Px85eXl1au/r8xbQ8flK3M2cOBA/elPf1KXLl109OhR/f73v1d8fLz27t2rtm3bVuvvL%2B9nBCw/4nA4PPatfzyk/%2BJ2X9O1a1d17drVvR8XF6fi4mI9/fTTtg1YDz74oD799FN9%2BOGHl%2Bxb07zZdc7qO65BgwZp0KBB7v0bbrhB119/vZYtW6alS5c2dpkN0rVrVxUWFuq7777T66%2B/ruTkZGVnZ9caRHxpvhoyNl%2BZs%2BLiYj300EPatm1bg9Ya2X3eLmdcvjJno0ePdv%2B5d%2B/eiouL0zXXXKO1a9dq1qxZNZ7jD%2B9nfEToJ6Kioqr9b6ysrEwBAQE1/g/B1w0aNEiff/65t8uo0YwZM7R161a9//776tChQ519a5u3i//3ZgcNGdfFrrjiCg0YMMCWcxYUFKR/%2BZd/Uf/%2B/ZWRkaE%2Bffroueeeq7GvL82X1LCxXcyuc5afn6%2BysjL169dPAQEBCggIUHZ2tpYuXaqAgACdO3eu2jm%2BMG%2BXM66L2XXOLtaqVSv17t271jr95f2MgOUn4uLilJWV5dG2bds29e/fX4GBgV6qqvEUFBTY7jaxZVl68MEH9cYbb%2Bi9995TbGzsJc%2Bpbd7i4%2BMbq8wGu5xx1XSNwsJC281ZTSzLUlVVVY3HfGG%2B6lLX2Grqa8c5Gz58uD777DMVFha6t/79%2B%2BuOO%2B5QYWGhWrRoUe0cX5i3yxnXxew6ZxerqqrSvn37aq3Tb97PvLGyHpd2/Phxq6CgwCooKLAkWYsXL7YKCgqsQ4cOWZZlWXPnzrWSkpLc/Q8cOGC1bNnSevjhh62///3v1ksvvWQFBgZaf/nLX7w1hFo1dGzPPvustXnzZmv//v3Wnj17rLlz51qSrNdff91bQ6jRb37zG8vpdFrbt2%2B3SkpK3Nv333/v7pOUlGTNnTvXvf/f//3fVosWLawFCxZY%2B/btsxYsWGAFBARYubm53hhCjS5nXGlpaVZmZqb15ZdfWgUFBdbdd99tBQQEWLt27fLGEGqVmppq7dixwzp48KD16aefWo8//rh1xRVXWNu2bbMsyzfn64KGjs1X5qwmF3/bzpfn7ccuNS5fmbPZs2db27dvtw4cOGDl5uZaiYmJVmhoqPXVV19ZluXb72d1IWDZ1IVHE1y8JScnW5ZlWcnJydaQIUM8ztm%2BfbvVt29fKygoyLr66qutFStWNH3h9dDQsS1cuNC65pprrJCQEKtNmzbW4MGDrTfffNM7xdehpjFJslavXu3uM2TIEPc4L3jttdesrl27WoGBgVa3bt1sFxwvZ1wpKSlWx44draCgIOuqq66yEhISrJycnKYv/hLuueceq1OnTu46hw8f7g4gluWb83VBQ8fmK3NWk4uDiC/P249daly%2BMmcTJ0602rdvbwUGBlrR0dHW%2BPHjrb1797qP%2B/L7WV0clvWPlWMAAAAwgjVYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAM%2B39ovMdO%2BjPIMQAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common7718038856558682390\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">157</td>\n",
       "        <td class=\"number\">39.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">115</td>\n",
       "        <td class=\"number\">29.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:73%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">64</td>\n",
       "        <td class=\"number\">16.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:41%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">40</td>\n",
       "        <td class=\"number\">10.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:26%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">19</td>\n",
       "        <td class=\"number\">4.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme7718038856558682390\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">19</td>\n",
       "        <td class=\"number\">4.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">64</td>\n",
       "        <td class=\"number\">16.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:41%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">157</td>\n",
       "        <td class=\"number\">39.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">115</td>\n",
       "        <td class=\"number\">29.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:73%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">40</td>\n",
       "        <td class=\"number\">10.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:26%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">19</td>\n",
       "        <td class=\"number\">4.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">64</td>\n",
       "        <td class=\"number\">16.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:41%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">157</td>\n",
       "        <td class=\"number\">39.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">115</td>\n",
       "        <td class=\"number\">29.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:73%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">40</td>\n",
       "        <td class=\"number\">10.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:26%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_goout\">goout<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>3.1089</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>1</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-1206867512853562047\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAbtJREFUeJzt2rGt01AYhuHfEa09QGRvwRDsRM1ODMEWjjKAIwoKYgoIBaCPm%2BIex7nPUyaKfyfyqyM7p1vXda3GTqdTTdPUeiw7N89zjePYdOa7ptN%2B6fu%2Bqn5%2B4WEYtjgFdmRZlpqm6fd109ImgXRdV1VVwzAI5A/vP36%2B%2BzNfPn14hTN5PLfrpqVD84mwIwKBQCAQCAQCgUAgEAgEAoFAIBAIBJv8k/4I/GPNS1hBIBAIBAKBQCAQCASCN/sU6y3zBO/lrCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUBgLxav5hn2fFlBIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBA%2B31eQZtifwPKwgEAgEAoFAIBAIBAKBQCDY5DHvuq5VVbUsy1/vff/29e7j/es4/9Nqzr1anNfefuPba7frpqVu3WDq6XSqaZpaj2Xn5nmucRybztwkkOv1Wufzufq%2Br67rWo9nZ9Z1rcvlUsfjsQ6HtncFmwQCe%2BEmHQKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoHgB7RoZqSL0n5BAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-1206867512853562047,#minihistogram-1206867512853562047\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-1206867512853562047\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-1206867512853562047\"\n",
       "                                                  aria-controls=\"quantiles-1206867512853562047\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-1206867512853562047\" aria-controls=\"histogram-1206867512853562047\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-1206867512853562047\" aria-controls=\"common-1206867512853562047\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-1206867512853562047\" aria-controls=\"extreme-1206867512853562047\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-1206867512853562047\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>1.1133</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.3581</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.77025</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>3.1089</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.89554</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.1165</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>1228</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>1.2394</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-1206867512853562047\">\n",
       "            <img 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%2B7v6OBwOpaenq7S0VGfPnlVubq769etnrAYAAOBbbLuClZKSopSUFP3v//6v7r33XknSX/7yF82fP1%2Bvvfaah6sDAABonG0D1uTJk3X27FllZGToV7/6lSSpe/fuWrRokX760596uDoAAIDG2TZgSdKMGTM0Y8YMlZaWqmPHjurSpYunSwIAALgqWwesOt/9/ikAAAC7s%2B0m95MnT%2Brxxx/XTTfdpMDAQPn7%2B7sdAAAAdmXbFaxJkybp0KFD%2BsUvfqGIiIhG/ywNAACA3dg2YG3ZskVbtmzRwIEDPV0KAABAs9j2I8Lu3buzagUAALySbQPWG2%2B8obS0NH355ZeeLgUAAKBZbPsRYVJSkqqrq3XzzTcrODhYHTp0cLteXl7uocoAAACuzLYBa968eZ4uAQAA4JrYNmA98cQTni4BAADgmth2D5YkffHFF0pPT1dSUpLrI8ENGzZo3759Hq4MAACgcbYNWFu3btXtt9%2Bu3Nxc/fGPf1RNTY0kaefOnfrlL3/p4eoAAAAaZ9uA9dxzzyk9PV2bNm1y%2B%2Bb2e%2B%2B9V/n5%2BR6sDAAA4MpsG7B27dqlRx55pF57aGioTp486YGKAAAAmsa2AatLly4qKyur115cXKzvf//7HqgIAACgaWwbsCZMmKA5c%2Bbo5MmTrm903759u5599lk99thjHq4OAACgcbYNWBkZGQoPD1dERIRqamrUt29fxcbGasiQIXrhhRc8XR4AAECjbPs9WP7%2B/nrvvfd04MAB7dy5U5cuXdKdd96p3r17e7o0AACAK7JtwKrTs2dP9ezZ09NlAAAANJltA9aUKVOueH3ZsmWtVAkAAEDz2DZglZaWup2fP39ee/fuVXV1te6%2B%2B24PVQUAAHB1tg1Y//Ef/1Gv7cKFC/r5z3%2BuPn36eKAiAACAprHtbxE2xM/PT88%2B%2B6x%2B/etfe7oUAACARnlVwJKkw4cP6/z5854uAwAAoFG2/Yhw9uzZbueWZam0tFTr16/XxIkTPVQVAADA1dk2YG3bts3tvF27drrxxhs1b948TZ482UNVAQAAXJ1tA9bWrVs9XQIAAMA18bo9WAAAAHZn2xWsIUOGuP7I89V8%2BumnLVwNAABA09k2YN1zzz1666231LNnT8XExEiS8vPztX//fk2dOlUBAQEerhAAAKBhtg1YX3/9taZPn66MjAy39rlz5%2BrEiRP63e9%2B56HKAAAArsy2e7D%2B%2BMc/6vHHH6/XPmnSJL3//vseqAgAAKBpbBuwAgIClJeXV689Ly%2BPjwcBAICt2fYjwpkzZ%2BrJJ59UUVGRhg0bJunbPVjLly/X888/7%2BHqAAAAGmfbFay5c%2Bfq7bff1rZt2zRlyhRNmTJF27Zt0/LlyzV37lyjz/rqq6/02GOPqVu3burUqZN%2B8IMfqLCw0HXdsiylp6crMjJSHTt2VFxcnPbu3Wu0BgAA4Dtsu4IlSYmJiUpMTGzRZ1RUVGj48OG655579Oc//1mhoaE6dOiQunTp4uozf/58LViwQCtXrlTPnj318ssv6/7779f%2B/fsVFBTUovUBAADvY%2BuAVVVVpXXr1unw4cOaNWuWunbtqs8%2B%2B0yhoaGKiIgw8oxXX31VUVFRWrFihavtlltucf2zZVlauHCh5s6dq3HjxkmSVq1apbCwMK1Zs0ZTp041UgcAAPAdtv2IcM%2BePerZs6deeuklZWZmqqKiQtK3v104Z84cY89Zv369Bg8erH/4h39QaGioBg4cqOXLl7uuHzlyRGVlZYqPj3e1BQQEaOTIkQ1uwpek2tpaVVVVuR0AAKDtsG3AmjVrlhITE3Xo0CEFBga62h966CFt2bLF2HMOHz6spUuXqkePHvr444/15JNPaubMmfrDH/4gSSorK5MkhYWFud0XFhbmuna5zMxMOZ1O1xEVFWWsXgAAYH%2B2DVg7duzQtGnT6v25nO9///sqLS019pxLly7pzjvvVEZGhgYOHKipU6dq8uTJWrp0qVu/y%2BuwLKvRP%2BWTlpamyspK11FSUmKsXgAAYH%2B2DVj%2B/v6qqamp137w4EHdcMMNxp4TERGhvn37urX16dNHx44dkySFh4dLUr3VqvLy8nqrWnUCAgIUHBzsdgAAgLbDtgFr7Nix%2Bud//mdduHBB0rcrSF999ZXmzJnj2mxuwvDhw7V//363tgMHDujmm2%2BWJEVHRys8PFw5OTmu6%2BfOnVNubq5iY2ON1QEAAHyHbQPW66%2B/ruPHjys8PFxnzpzRvffeq1tvvVWBgYH1/j7h9Zg1a5by8/OVkZGhzz//XGvWrNGyZcs0ffp0Sd8Gu5SUFGVkZCgrK0t79uzRpEmT1KlTpxb/CgkAAOCdbPs1DU6nU3l5ecrJydHOnTtde6UeeOCBRvc%2BXYshQ4YoKytLaWlpeumllxQdHa2FCxdq4sSJrj6zZ8/WmTNnNG3aNFVUVGjo0KHasGED34EFAAAaZMuAdf78eT344IN68803FR8f7/YVCS0hISFBCQkJjV53OBxKT09Xenp6i9YBAAB8gy0/IuzQoYOKioqMrlQBAAC0FlsGLEl67LHH3L5dHQAAwFvY8iPCOkuWLNHGjRs1ePBgde7c2e3a/PnzPVQVAADAldk2YBUWFuqOO%2B6QJO3atcvtGh8dAgAAO7NdwDp8%2BLCio6O1detWT5cCAABwTWy3B6tHjx46efKk6/zRRx/ViRMnPFgRAABA89guYFmW5Xb%2Bpz/9SadPn/ZQNQAAAM1nu4AFAADg7WwXsBwOR71N7GxqBwAA3sR2m9wty9KkSZMUEBAgSTp79qyefPLJel/TsG7dOk%2BUBwAAcFW2C1jJyclu54899piHKgEAwLsNnpvt6RKarOCV0Z4uwSjbBSy%2BvR0AAHg72%2B3BAgAA8HYELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDAC1ndkZmbK4XAoJSXF1VZbW6sZM2bohhtuUOfOnTV27Fh9%2BeWXHqwSAADYHQHrb3bs2KFly5bpjjvucGtPSUlRVlaW1q5dq08%2B%2BUQ1NTVKSEjQxYsXPVQpAACwOwKWpJqaGk2cOFHLly9X165dXe2VlZV6%2B%2B239frrr%2Bu%2B%2B%2B7TwIEDtXr1au3evVsbN270YMUAAMDOCFiSpk%2Bfroceekj33XefW3thYaHOnz%2Bv%2BPh4V1tkZKT69eunvLy8Rl%2BvtrZWVVVVbgcAAGg7/DxdgKetXbtWhYWFKigoqHetrKxM/v7%2BbqtakhQWFqaysrJGXzMzM1Mvvvii8VoBAIB3aNMrWCUlJXr66af17rvvKjAwsMn3WZYlh8PR6PW0tDRVVla6jpKSEhPlAgAAL9GmA1ZhYaHKy8s1aNAg%2Bfn5yc/PT7m5uVq0aJH8/PwUFhamc%2BfOqaKiwu2%2B8vJyhYWFNfq6AQEBCg4OdjsAAEDb0aYD1qhRo7R7924VFxe7jsGDB2vixImuf%2B7QoYNycnJc95SWlmrPnj2KjY31YOUAAMDO2vQerKCgIPXr18%2BtrXPnzurWrZur/YknntAzzzyjbt26KSQkRM8%2B%2B6z69%2B9fb0M8AABAnTYdsJrijTfekJ%2Bfn8aPH68zZ85o1KhRWrlypdq3b%2B/p0gAAgE0RsC6zefNmt/PAwEAtXrxYixcv9kxBAADA67TpPVgAAAAtgYAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMMzP0wXg%2Bgyem%2B3pEpqs4JXRni4BAIBWwQoWAACAYQQsAAAAw9p8wMrMzNSQIUMUFBSk0NBQ/ehHP9L%2B/fvd%2BtTW1mrGjBm64YYb1LlzZ40dO1ZffvmlhyoGAAB21%2BYDVm5urqZPn678/Hzl5OTowoULio%2BP1%2BnTp119UlJSlJWVpbVr1%2BqTTz5RTU2NEhISdPHiRQ9WDgAA7KrNb3LPznbfJL5ixQqFhoaqsLBQd999tyorK/X222/rnXfe0X333SdJWr16taKiorRx40Y98MADnigbAADYWJtfwbpcZWWlJCkkJESSVFhYqPPnzys%2BPt7VJzIyUv369VNeXl6Dr1FbW6uqqiq3AwAAtB0ErO%2BwLEupqakaMWKE%2BvXrJ0kqKyuTv7%2B/unbt6tY3LCxMZWVlDb5OZmamnE6n64iKimrx2gEAgH0QsL7jqaee0q5du/Sv//qvV%2B1rWZYcDkeD19LS0lRZWek6SkpKTJcKAABsjID1NzNmzND69eu1adMmde/e3dUeHh6uc%2BfOqaKiwq1/eXm5wsLCGnytgIAABQcHux0AAKDtaPMBy7IsPfXUU1q3bp3%2B%2Bte/Kjo62u36oEGD1KFDB%2BXk5LjaSktLtWfPHsXGxrZ2uQAAwAu0%2Bd8inD59utasWaN///d/V1BQkGtfldPpVMeOHeV0OvXEE0/omWeeUbdu3RQSEqJnn31W/fv3d/1WIQAAwHe1%2BYC1dOlSSVJcXJxb%2B4oVKzRp0iRJ0htvvCE/Pz%2BNHz9eZ86c0ahRo7Ry5Uq1b9%2B%2BlasFAADeoM0HLMuyrtonMDBQixcv1uLFi1uhIgAA4O3a/B4sAAAA0whYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwGqiN998U9HR0QoMDNSgQYO0detWT5cEAABsioDVBO%2B9955SUlI0d%2B5cFRUV6a677tKYMWN07NgxT5cGAABsiIDVBAsWLNATTzyhn/3sZ%2BrTp48WLlyoqKgoLV261NOlAQAAG/LzdAF2d%2B7cORUWFmrOnDlu7fHx8crLy2vwntraWtXW1rrOKysrJUlVVVXG67tYe9r4a7aUlhh/S/Kmn63kfT9fb8K/Cy2Hn23L8qafb0v8bOte07Is4699NQSsqzh16pQuXryosLAwt/awsDCVlZU1eE9mZqZefPHFeu1RUVEtUqO3cL7u6Qp8Gz9f1OHfhZbDz7bltOTPtrq6Wk6ns%2BUe0AACVhM5HA63c8uy6rXVSUtLU2pqquv80qVL%2Br//%2Bz9169at0XuuRVVVlaKiolRSUqLg4GBjr%2BtpvjouyXfH5qvjkhibN/LVcUm%2BO7aWGpdlWaqurlZkZKSx12wqAtZV3HDDDWrfvn291ary8vJ6q1p1AgICFBAQ4NbWpUuXFqsxODjYp/5Dq%2BOr45J8d2y%2BOi6JsXkjXx2X5Ltja4lxtfbKVR02uV%2BFv7%2B/Bg0apJycHLf2nJwcxcbGeqgqAABgZ6xgNUFqaqqSkpI0ePBgxcTEaNmyZTp27JiefPJJT5cGAABsqH16enq6p4uwu379%2Bqlbt27KyMjQa6%2B9pjNnzuidd97RgAEDPF2a2rdvr7i4OPn5%2BVZW9tVxSb47Nl8dl8TYvJGvjkvy3bH52rgclid%2BdxEAAMCHsQcLAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwbGrLli16%2BOGHFRkZKYfDoQ8//PCq9%2BTm5mrQoEEKDAzUrbfeqt/%2B9retUGnzNXdsmzdvlsPhqHf8z//8TytV3DSZmZkaMmSIgoKCFBoaqh/96Efav3//Ve/74IMP1LdvXwUEBKhv377KyspqhWqb7lrGtXLlygbn7OzZs61UddMsXbpUd9xxh%2BvLDWNiYvTnP//5ivfYfb7qNHds3jJnl8vMzJTD4VBKSsoV%2B3nLvNVpyri8Zc7S09Pr1RgeHn7Fe7zl/exKCFg2dfr0aQ0YMEBLlixpUv8jR46x/YrAAAAHXklEQVTowQcf1F133aWioiI9//zzmjlzpj744IMWrrT5mju2Ovv371dpaanr6NGjRwtVeG1yc3M1ffp05efnKycnRxcuXFB8fLxOn278j61u27ZNjz76qJKSkvTZZ58pKSlJ48eP1/bt21ux8iu7lnFJ334j83fnq7S0VIGBga1UddN0795d8%2BbNU0FBgQoKCnTvvffqhz/8ofbu3dtgf2%2BYrzrNHZvkHXP2XTt27NCyZct0xx13XLGfN82b1PRxSd4zZ7fffrtbjbt37260rze9n12RBduTZGVlZV2xz%2BzZs63evXu7tU2dOtUaNmxYS5Z23Zoytk2bNlmSrIqKilaqyozy8nJLkpWbm9ton/Hjx1ujR492a3vggQesCRMmtHR516wp41qxYoXldDpbsSpzunbtav3ud79r8Jo3ztd3XWls3jZn1dXVVo8ePaycnBxr5MiR1tNPP91oX2%2Bat%2BaMy1vm7Fe/%2BpU1YMCAJvf31vezy7GC5SO2bdum%2BPh4t7YHHnhABQUFOn/%2BvIeqMmvgwIGKiIjQqFGjtGnTJk%2BXc1WVlZWSpJCQkEb7NDZveXl5LVrb9WjKuCSppqZGN998s7p3766EhAQVFRW1RnnX7OLFi1q7dq1Onz6tmJiYBvt443xJTRub5F1zNn36dD300EO67777rtrXm%2BatOeOSvGfODh48qMjISEVHR2vChAk6fPhwo3195f3MN74uFSorK6v3x6fDwsJ04cIFnTp1ShERER6q7PpFRERo2bJlGjRokGpra/XOO%2B9o1KhR2rx5s%2B6%2B%2B25Pl9cgy7KUmpqqESNGqF%2B/fo32a2zeLv/j4nbR1HH17t1bK1euVP/%2B/VVVVaXf/OY3Gj58uD777DPbfbS7e/duxcTE6OzZs/re976nrKws9e3bt8G%2B3jZfzRmbN83Z2rVrVVhYqIKCgib195Z5a%2B64vGXOhg4dqj/84Q/q2bOnTpw4oZdfflmxsbHau3evunXrVq%2B/r7yfEbB8iMPhcDu3/vYl/Ze3e5tevXqpV69ervOYmBiVlJTotddes23Aeuqpp7Rr1y598sknV%2B3b0LzZdc6aOq5hw4Zp2LBhrvPhw4frzjvv1OLFi7Vo0aKWLrNZevXqpeLiYn399df64IMPlJycrNzc3EaDiDfNV3PG5i1zVlJSoqefflobNmxo1l4ju8/btYzLW%2BZszJgxrn/u37%2B/YmJidNttt2nVqlVKTU1t8B5feD/jI0IfER4eXu//xsrLy%2BXn59fg/yF4u2HDhungwYOeLqNBM2bM0Pr167Vp0yZ17979in0bm7fL/%2B/NDpozrsu1a9dOQ4YMseWc%2Bfv76%2B/%2B7u80ePBgZWZmasCAAfrNb37TYF9vmi%2BpeWO7nF3nrLCwUOXl5Ro0aJD8/Pzk5%2Ben3NxcLVq0SH5%2Bfrp48WK9e7xh3q5lXJez65xdrnPnzurfv3%2BjdfrK%2BxkBy0fExMQoJyfHrW3Dhg0aPHiwOnTo4KGqWk5RUZHtlokty9JTTz2ldevW6a9//auio6Ovek9j8xYbG9tSZTbbtYyrodcoLi623Zw1xLIs1dbWNnjNG%2BbrSq40tob62nHORo0apd27d6u4uNh1DB48WBMnTlRxcbHat29f7x5vmLdrGdfl7Dpnl6utrdW%2BffsardNn3s88sbMeV1ddXW0VFRVZRUVFliRrwYIFVlFRkXX06FHLsixrzpw5VlJSkqv/4cOHrU6dOlmzZs2y/vu//9t6%2B%2B23rQ4dOlj/9m//5qkhNKq5Y3vjjTesrKws68CBA9aePXusOXPmWJKsDz74wFNDaNDPf/5zy%2Bl0Wps3b7ZKS0tdxzfffOPqk5SUZM2ZM8d1/l//9V9W%2B/btrXnz5ln79u2z5s2bZ/n5%2BVn5%2BfmeGEKDrmVc6enpVnZ2tnXo0CGrqKjIevzxxy0/Pz9r%2B/btnhhCo9LS0qwtW7ZYR44csXbt2mU9//zzVrt27awNGzZYluWd81WnuWPzljlryOW/befN8/ZdVxuXt8zZM888Y23evNk6fPiwlZ%2BfbyUkJFhBQUHWF198YVmWd7%2BfXQkBy6bqvprg8iM5OdmyLMtKTk62Ro4c6XbP5s2brYEDB1r%2B/v7WLbfcYi1durT1C2%2BC5o7t1VdftW677TYrMDDQ6tq1qzVixAjro48%2B8kzxV9DQmCRZK1ascPUZOXKka5x13n//fatXr15Whw4drN69e9suOF7LuFJSUqybbrrJ8vf3t2688UYrPj7eysvLa/3ir%2BKnP/2pdfPNN7vqHDVqlCuAWJZ3zled5o7NW%2BasIZcHEW%2Bet%2B%2B62ri8Zc4effRRKyIiwurQoYMVGRlpjRs3ztq7d6/ruje/n12Jw7L%2BtnMMAAAARrAHCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYf8PP6nvPo11s38AAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-1206867512853562047\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">130</td>\n",
       "        <td class=\"number\">32.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">103</td>\n",
       "        <td class=\"number\">26.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:79%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">86</td>\n",
       "        <td class=\"number\">21.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:66%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">53</td>\n",
       "        <td class=\"number\">13.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:41%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">23</td>\n",
       "        <td class=\"number\">5.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-1206867512853562047\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">23</td>\n",
       "        <td class=\"number\">5.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">103</td>\n",
       "        <td class=\"number\">26.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:79%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">130</td>\n",
       "        <td class=\"number\">32.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">86</td>\n",
       "        <td class=\"number\">21.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:66%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">53</td>\n",
       "        <td class=\"number\">13.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:41%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">23</td>\n",
       "        <td class=\"number\">5.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">103</td>\n",
       "        <td class=\"number\">26.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:79%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">130</td>\n",
       "        <td class=\"number\">32.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">86</td>\n",
       "        <td class=\"number\">21.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:66%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">53</td>\n",
       "        <td class=\"number\">13.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:41%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_guardian\">guardian<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.8%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable724825383705347258\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>mother</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 69.1%\">\n",
       "            273\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>father</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:33%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 22.8%\">\n",
       "            90\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>other</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:12%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 8.1%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        32\n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable724825383705347258, #minifreqtable724825383705347258\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable724825383705347258\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">mother</td>\n",
       "        <td class=\"number\">273</td>\n",
       "        <td class=\"number\">69.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">father</td>\n",
       "        <td class=\"number\">90</td>\n",
       "        <td class=\"number\">22.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:33%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">other</td>\n",
       "        <td class=\"number\">32</td>\n",
       "        <td class=\"number\">8.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_health\">health<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>3.5544</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>1</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>5</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram1421148926678803836\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAbVJREFUeJzt202uk2AYhuGX5kxhAQ3swkW4J8fuyUW4C0gXQHMGDiwOtE70PJ5G8yF6XcOS8tKGO4S/btu2rRpblqWmaWo9loOb57nGcWw686nptG/6vq%2Bqrz94GIY9NoEDWde1pmn6vt%2B0tEsgXddVVdUwDAL5h7159%2BHh73x8//bFZff9pqVT84lwIAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBLu8UcjL/vRbePweRxAIBAKBQCAQCAQCgUAgEAgEAvdB/kPutbyeIwgEAoFAIBAIBAKBQPDXXcVqdYXFlRxewxEEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCDY5Wnebduqqmpd1x%2BWff70/PD6fraeX2k151Ettuto//H9s/t%2B01K37TB1WZaapqn1WA5unucax7HpzF0Cud1udblcqu/76rqu9XgOZtu2ul6vdT6f63Rqe1awSyBwFE7SIRAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAi%2BAICmZqLCxHdIAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives1421148926678803836,#minihistogram1421148926678803836\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives1421148926678803836\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles1421148926678803836\"\n",
       "                                                  aria-controls=\"quantiles1421148926678803836\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram1421148926678803836\" aria-controls=\"histogram1421148926678803836\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common1421148926678803836\" aria-controls=\"common1421148926678803836\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme1421148926678803836\" aria-controls=\"extreme1421148926678803836\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles1421148926678803836\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>1.3903</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.39115</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.0141</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>3.5544</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>1.2175</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.4946</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>1404</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>1.9329</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram1421148926678803836\">\n",
       "            <img 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GjdunC5cuKDMzEz95je/kSS1atVK8%2BbN02OPPebl6gAAAGpm24AlSZMmTdKkSZNUUlKim2%2B%2BWc2bN/d2SQAAADdk64B1VXR0tLdLAAAAqDXb3uR%2B4sQJjR07Vq1bt1ZISIiCgoI8NgAAALuy7QrWmDFj9NVXX%2Bm5555TdHS0HA6Ht0sCAACoFdsGrM2bN2vz5s1KSEjwdikAAAB1YtuPCFu1asWqFQAA8Em2DVivv/660tPT9c0333i7FAAAgDqx7UeEqampOn36tG677TaFhYUpMDDQ43hZWZmXKgMAALg%2B2wasmTNnNsjrfPfdd8rIyNCKFStUWlqq6OhojRkzRv/0T/%2Bkm276foHPsiy9/PLLWrRokcrLy9WzZ0%2B9%2Beab6tixY4PUCAAAfIttA9bjjz/eIK8za9Ys/e53v9OyZcvUsWNH5efna%2BzYsXI6nXr66aclSbNnz9acOXO0dOlS3XHHHfrtb3%2Br%2B%2B%2B/X/v371doaGiD1AkAAHyHbe/BkqSvv/5aGRkZSk1NdX8kuH79eu3bt8/Ya2zdulU///nPNXToUN1%2B%2B%2B168MEHlZSUpPz8fEnfr17NnTtXM2bM0IgRI9SpUyctW7ZM586d08qVK43VAQAA/IdtA9aWLVvUsWNH5ebm6v3339eZM2ckSbt27dJLL71k7HX69u2rTz/9VAcOHJAkff755/rss8/0wAMPSJIOHz6s0tJSJSUluc8JDg5Wv379lJeXV%2B01KysrVVFR4bEBAIDGw7YB6/nnn1dGRoY2btzo8eT2%2B%2B67T9u2bTP6Or/85S/Vrl07BQYGKiEhQWlpafrlL38pSSotLZUkRUZGepwXGRnpPnatrKwsOZ1O9xYbG2usXgAAYH%2B2DVi7d%2B/Wgw8%2BWKU9IiJCJ06cMPY6q1ev1vLly7Vy5Urt2rVLy5Yt06uvvqply5Z59Lv2mVyWZdX4nK709HS5XC73VlxcbKxeAABgf7a9yb158%2BYqLS1VXFycR3tRUZF%2B%2BtOfGnud5557TtOnT9eoUaMkSZ07d9aRI0eUlZWl0aNHKyoqSpLc3zC8qqysrMqq1lXBwcEKDg42ViMAAPAttl3BGjVqlKZPn64TJ064V4q2b9%2BuZ599Vo888oix1zl37pz7cQxXNWnSRFeuXJEkxcXFKSoqSjk5Oe7jFy9eVG5urnr37m2sDgAA4D9su4KVmZmp1NRURUdH68qVK%2BrQoYMuXbqkkSNH6sUXXzT2OsOGDdMrr7yi1q1bq2PHjiosLNScOXP02GOPSfr%2Bo8G0tDRlZmYqPj5e8fHxyszMVNOmTZWSkmKsDgAA4D9sG7CCgoK0evVqHThwQLt27dKVK1d05513ql27dkZfZ/78%2BXrxxRf11FNPqaysTDExMRo/frzHNxWnTZum8%2BfP66mnnnI/aHT9%2BvU8AwsAAFTLYVmW5e0i/F1FRYWcTqdcLpfCwsK8XQ6AOuo%2BI9vbJdRJ/iuDvV0CbMKX/u3Wx79bb77/2nYF64knnrju8UWLFjVQJQAAAHVj24BVUlLisX/p0iXt3btXp0%2Bf1j333OOlqgAAAG7MtgHrP//zP6u0fffdd/r1r3%2Bt9u3be6EiAACA2rHtYxqqExAQoGeffVb/%2Bq//6u1SAAAAauRTAUuSDh06pEuXLnm7DAAAgBrZ9iPCadOmeexblqWSkhKtW7dODz/8sJeqAgAAuDHbBqytW7d67N9000269dZbNXPmTI0bN85LVQEAANyYbQPWli1bvF0CAADAj%2BJz92ABAADYnW1XsHr06OH%2Bkecb2bFjRz1XAwAAUHu2DVj33nuv3n77bd1xxx1KTEyUJG3btk379%2B/X%2BPHjFRwc7OUKAQAAqmfbgHXq1ClNmDBBmZmZHu0zZszQ8ePH9fvf/95LlQEAAFyfbe/Bev/99zV27Ngq7WPGjNEHH3zghYoAAABqx7YBKzg4WHl5eVXa8/Ly%2BHgQAADYmm0/Ipw8ebKefPJJFRYWqlevXpK%2Bvwdr8eLFeuGFF7xcHQAAQM1sG7BmzJihuLg4vfHGG3r33XclSe3bt9fixYuVkpLi5eoAAABqZtuAJUkpKSmEKQAA4HNsew%2BWJFVUVGjp0qV66aWXVF5eLkn6/PPPVVJS4uXKAAAAambbFawvvvhCAwcOVNOmTVVcXKwxY8aoRYsWev/99/XNN99o2bJl3i4RAACgWrZdwXrmmWeUkpKir776SiEhIe72oUOHavPmzV6sDAAA4Ppsu4K1c%2BdOLVy4sMrP5fz0pz/lI0IAAGBrtl3BCgoK0pkzZ6q0Hzx4ULfccosXKgIAAKgd265gDR8%2BXP/yL/%2Bi1atXS5IcDoe%2B/fZbTZ8%2BXSNGjPBydQAAE7rPyPZ2CXWS/8pgb5cAH2HbFazXXntNx44dU1RUlM6fP6/77rtPP/vZzxQSElLl9wkBAADsxLYrWE6nU3l5ecrJydGuXbt05coV3XnnnRo0aFCV%2B7IAAADsxJYB69KlS3rggQf01ltvKSkpSUlJSd4uCQAAoNZs%2BRFhYGCgCgsLWakCAAA%2ByZYBS5IeeeQRLVmyxNtlAAAA1JktPyK8asGCBdqwYYO6d%2B%2BuZs2aeRybPXu2l6oCAAC4PtsGrIKCAnXp0kWStHv3bo9jfHQIAADszHYB69ChQ4qLi9OWLVsa7DW//fZbPf/88/r44491/vx53XHHHXrnnXfUrVs3SZJlWXr55Ze1aNEilZeXq2fPnnrzzTfVsWPHBqsRAAD4DtvdgxUfH68TJ0649x966CEdP3683l6vvLxcffr0UWBgoD7%2B%2BGP95S9/0WuvvabmzZu7%2B8yePVtz5szRggULtHPnTkVFRen%2B%2B%2B/X6dOn660uAADgu2wXsCzL8tj/05/%2BpLNnz9bb682aNUuxsbFasmSJ7rrrLt1%2B%2B%2B0aMGCA2rRp465n7ty5mjFjhkaMGKFOnTpp2bJlOnfunFauXFlvdQEAAN9lu4DV0NatW6fu3bvrH//xHxUREaGEhAQtXrzYffzw4cMqLS31eBZXcHCw%2BvXrp7y8PG%2BUDAAAbM52AcvhcFS5ib0%2Bb2o/dOiQFi5cqPj4eH3yySd68sknNXnyZP3hD3%2BQJJWWlkqSIiMjPc6LjIx0H7tWZWWlKioqPDYAANB42O4md8uyNGbMGAUHB0uSLly4oCeffLLKYxo%2B%2BugjI6935coVde/e3f37hgkJCdq7d68WLlyoRx991N3v2pBnWVaNwS8rK0svv/yykfoAAIDvsd0K1ujRoxURESGn0ymn06lHHnlEMTEx7v2rmynR0dHq0KGDR1v79u119OhRSVJUVJQkVVmtKisrq7KqdVV6erpcLpd7Ky4uNlYvAACwP9utYDX009v79Omj/fv3e7QdOHBAt912myQpLi5OUVFRysnJUUJCgiTp4sWLys3N1axZs6q9ZnBwsHsFDgAAND62C1gN7ZlnnlHv3r2VmZmpkSNHaseOHVq0aJEWLVok6fuPBtPS0pSZman4%2BHjFx8crMzNTTZs2VUpKiperBwAAdtToA1aPHj20Zs0apaen65//%2BZ8VFxenuXPn6uGHH3b3mTZtms6fP6%2BnnnrK/aDR9evXKzQ01IuVAwAAu2r0AUuSkpOTlZycXONxh8OhjIwMZWRkNFxRAADAZ9nuJncAAABfR8ACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhAd4uAH%2Bb7jOyvV1CreW/MtjbJQAA0CBYwQIAADCMgAUAAGAYAQsAAMAw7sECauBL97dJ3OMGAHbCChYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsD6gaysLDkcDqWlpbnbKisrNWnSJN1yyy1q1qyZhg8frm%2B%2B%2BcaLVQIAALsjYP3Vzp07tWjRInXp0sWjPS0tTWvWrNGqVav02Wef6cyZM0pOTtbly5e9VCkAALA7ApakM2fO6OGHH9bixYvVokULd7vL5dI777yj1157TQMHDlRCQoKWL1%2BuPXv2aMOGDV6sGAAA2BkBS9KECRM0dOhQDRw40KO9oKBAly5dUlJSkrstJiZGnTp1Ul5eXkOXCQAAfESjf5L7qlWrVFBQoPz8/CrHSktLFRQU5LGqJUmRkZEqLS2t8ZqVlZWqrKx071dUVJgrGAAA2F6jXsEqLi7W008/rRUrVigkJKTW51mWJYfDUePxrKwsOZ1O9xYbG2uiXAAA4CMadcAqKChQWVmZunXrpoCAAAUEBCg3N1fz5s1TQECAIiMjdfHiRZWXl3ucV1ZWpsjIyBqvm56eLpfL5d6Ki4vreygAAMBGGvVHhAMGDNCePXs82saOHat27drp%2BeefV2xsrAIDA5WTk6ORI0dKkkpKSvTFF19o9uzZNV43ODhYwcHB9Vo7AACwr0YdsEJDQ9WpUyePtmbNmqlly5bu9scff1xTp05Vy5YtFR4ermeffVadO3euckM8AADAVY06YNXG66%2B/roCAAI0cOVLnz5/XgAEDtHTpUjVp0sTbpQEAAJsiYF1j06ZNHvshISGaP3%2B%2B5s%2Bf752CAACAz2nUN7kDAADUBwIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMKzRB6ysrCz16NFDoaGhioiI0C9%2B8Qvt37/fo09lZaUmTZqkW265Rc2aNdPw4cP1zTffeKliAABgd40%2BYOXm5mrChAnatm2bcnJy9N133ykpKUlnz55190lLS9OaNWu0atUqffbZZzpz5oySk5N1%2BfJlL1YOAADsKsDbBXhbdna2x/6SJUsUERGhgoIC3XPPPXK5XHrnnXf03nvvaeDAgZKk5cuXKzY2Vhs2bNCgQYO8UTYAALCxRr%2BCdS2XyyVJCg8PlyQVFBTo0qVLSkpKcveJiYlRp06dlJeXV%2B01KisrVVFR4bEBAIDGg4D1A5ZlacqUKerbt686deokSSotLVVQUJBatGjh0TcyMlKlpaXVXicrK0tOp9O9xcbG1nvtAADAPghYPzBx4kTt3r1b//Zv/3bDvpZlyeFwVHssPT1dLpfLvRUXF5suFQAA2BgB668mTZqkdevWaePGjWrVqpW7PSoqShcvXlR5eblH/7KyMkVGRlZ7reDgYIWFhXlsAACg8Wj0AcuyLE2cOFEfffSR/vznPysuLs7jeLdu3RQYGKicnBx3W0lJib744gv17t27ocsFAAA%2BoNF/i3DChAlauXKl/uM//kOhoaHu%2B6qcTqduvvlmOZ1OPf7445o6dapatmyp8PBwPfvss%2BrcubP7W4UAAAA/1OgD1sKFCyVJ/fv392hfsmSJxowZI0l6/fXXFRAQoJEjR%2Br8%2BfMaMGCAli5dqiZNmjRwtQAAwBc0%2BoBlWdYN%2B4SEhGj%2B/PmaP39%2BA1QEAAB8XaO/BwsAAMA0AhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIBVS2%2B99Zbi4uIUEhKibt26acuWLd4uCQAA2BQBqxZWr16ttLQ0zZgxQ4WFhbr77rs1ZMgQHT161NulAQAAGyJg1cKcOXP0%2BOOP61e/%2BpXat2%2BvuXPnKjY2VgsXLvR2aQAAwIYCvF2A3V28eFEFBQWaPn26R3tSUpLy8vKqPaeyslKVlZXufZfLJUmqqKgwXt/lyrPGr1lf6mP89cmX/raS7/19fQn/FuoPf9v65Ut/3/r42169pmVZxq99IwSsGzh58qQuX76syMhIj/bIyEiVlpZWe05WVpZefvnlKu2xsbH1UqOvcL44UaQSAAAJq0lEQVTm7Qr8G39fXMW/hfrD37b%2B1Off9vTp03I6nfX3AtUgYNWSw%2BHw2Lcsq0rbVenp6ZoyZYp7/8qVK/q///s/tWzZssZzfoyKigrFxsaquLhYYWFhxq7rbf46Lsl/x%2Bav45IYmy/y13FJ/ju2%2BhqXZVk6ffq0YmJijF2ztghYN3DLLbeoSZMmVVarysrKqqxqXRUcHKzg4GCPtubNm9dbjWFhYX71f7Sr/HVckv%2BOzV/HJTE2X%2BSv45L8d2z1Ma6GXrm6ipvcbyAoKEjdunVTTk6OR3tOTo569%2B7tpaoAAICdsYJVC1OmTFFqaqq6d%2B%2BuxMRELVq0SEePHtWTTz7p7dIAAIANNcnIyMjwdhF216lTJ7Vs2VKZmZl69dVXdf78eb333nvq2rWrt0tTkyZN1L9/fwUE%2BFdW9tdxSf47Nn8dl8TYfJG/jkvy37H527gclje%2BuwgAAODHuAcLAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwbGrz5s0aNmyYYmJi5HA4tHbt2huek5ubq27duikkJEQ/%2B9nP9Lvf/a4BKq27uo5t06ZNcjgcVbb/%2BZ//aaCKaycrK0s9evRQaGioIiIi9Itf/EL79%2B%2B/4XkffvihOnTooODgYHXo0EFr1qxpgGpr78eMa%2BnSpdXO2YULFxqo6tpZuHChunTp4n64YWJioj7%2B%2BOPrnmP3%2BbqqrmPzlTm7VlZWlhwOh9LS0q7bz1fm7arajMtX5iwjI6NKjVFRUdc9x1fez66HgGVTZ8%2BeVdeuXbVgwYJa9T98%2BLAeeOAB3X333SosLNQLL7ygyZMn68MPP6znSuuurmO7av/%2B/SopKXFv8fHx9VThj5Obm6sJEyZo27ZtysnJ0XfffaekpCSdPVvzj61u3bpVDz30kFJTU/X5558rNTVVI0eO1Pbt2xuw8uv7MeOSvn8i8w/nq6SkRCEhIQ1Ude20atVKM2fOVH5%2BvvLz83Xffffp5z//ufbu3Vttf1%2BYr6vqOjbJN%2Bbsh3bu3KlFixapS5cu1%2B3nS/Mm1X5cku/MWceOHT1q3LNnT419fen97Los2J4ka82aNdftM23aNKtdu3YebePHj7d69epVn6X9zWozto0bN1qSrPLy8gaqyoyysjJLkpWbm1tjn5EjR1qDBw/2aBs0aJA1atSo%2Bi7vR6vNuJYsWWI5nc4GrMqcFi1aWL///e%2BrPeaL8/VD1xubr83Z6dOnrfj4eCsnJ8fq16%2Bf9fTTT9fY15fmrS7j8pU5%2B81vfmN17dq11v199f3sWqxg%2BYmtW7cqKSnJo23QoEHKz8/XpUuXvFSVWQkJCYqOjtaAAQO0ceNGb5dzQy6XS5IUHh5eY5%2Ba5i0vL69ea/tb1GZcknTmzBnddtttatWqlZKTk1VYWNgQ5f1oly9f1qpVq3T27FklJiZW28cX50uq3dgk35qzCRMmaOjQoRo4cOAN%2B/rSvNVlXJLvzNnBgwcVExOjuLg4jRo1SocOHaqxr7%2B8n/nH41Kh0tLSKj8%2BHRkZqe%2B%2B%2B04nT55UdHS0lyr720VHR2vRokXq1q2bKisr9d5772nAgAHatGmT7rnnHm%2BXVy3LsjRlyhT17dtXnTp1qrFfTfN27Y%2BL20Vtx9WuXTstXbpUnTt3VkVFhd544w316dNHn3/%2Bue0%2B2t2zZ48SExN14cIF/eQnP9GaNWvUoUOHavv62nzVZWy%2BNGerVq1SQUGB8vPza9XfV%2BatruPylTnr2bOn/vCHP%2BiOO%2B7Q8ePH9dvf/la9e/fW3r171bJlyyr9/eX9jIDlRxwOh8e%2B9deH9F/b7mvatm2rtm3buvcTExNVXFysV1991bYBa%2BLEidq9e7c%2B%2B%2ByzG/atbt7sOme1HVevXr3Uq1cv936fPn105513av78%2BZo3b159l1knbdu2VVFRkU6dOqUPP/xQo0ePVm5ubo1BxJfmqy5j85U5Ky4u1tNPP63169fX6V4ju8/bjxmXr8zZkCFD3P%2B7c%2BfOSkxMVJs2bbRs2TJNmTKl2nP84f2Mjwj9RFRUVJX/GisrK1NAQEC1/4Xg63r16qWDBw96u4xqTZo0SevWrdPGjRvVqlWr6/atad6u/a83O6jLuK510003qUePHracs6CgIP3d3/2dunfvrqysLHXt2lVvvPFGtX19ab6kuo3tWnads4KCApWVlalbt24KCAhQQECAcnNzNW/ePAUEBOjy5ctVzvGFefsx47qWXefsWs2aNVPnzp1rrNNf3s8IWH4iMTFROTk5Hm3r169X9%2B7dFRgY6KWq6k9hYaHtlokty9LEiRP10Ucf6c9//rPi4uJueE5N89a7d%2B/6KrPOfsy4qrtGUVGR7easOpZlqbKystpjvjBf13O9sVXX145zNmDAAO3Zs0dFRUXurXv37nr44YdVVFSkJk2aVDnHF%2Bbtx4zrWnads2tVVlZq3759NdbpN%2B9n3rizHjd2%2BvRpq7Cw0CosLLQkWXPmzLEKCwutI0eOWJZlWdOnT7dSU1Pd/Q8dOmQ1bdrUeuaZZ6y//OUv1jvvvGMFBgZa//7v/%2B6tIdSormN7/fXXrTVr1lgHDhywvvjiC2v69OmWJOvDDz/01hCq9etf/9pyOp3Wpk2brJKSEvd27tw5d5/U1FRr%2BvTp7v3//u//tpo0aWLNnDnT2rdvnzVz5kwrICDA2rZtmzeGUK0fM66MjAwrOzvb%2Buqrr6zCwkJr7NixVkBAgLV9%2B3ZvDKFG6enp1ubNm63Dhw9bu3fvtl544QXrpptustavX29Zlm/O11V1HZuvzFl1rv22nS/P2w/daFy%2BMmdTp061Nm3aZB06dMjatm2blZycbIWGhlpff/21ZVm%2B/X52PQQsm7r6aIJrt9GjR1uWZVmjR4%2B2%2BvXr53HOpk2brISEBCsoKMi6/fbbrYULFzZ84bVQ17HNmjXLatOmjRUSEmK1aNHC6tu3r/XHP/7RO8VfR3VjkmQtWbLE3adfv37ucV71wQcfWG3btrUCAwOtdu3a2S44/phxpaWlWa1bt7aCgoKsW2%2B91UpKSrLy8vIavvgbeOyxx6zbbrvNXeeAAQPcAcSyfHO%2Brqrr2HxlzqpzbRDx5Xn7oRuNy1fm7KGHHrKio6OtwMBAKyYmxhoxYoS1d%2B9e93Fffj%2B7Hodl/fXOMQAAABjBPVgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAz7f8kEwnD7wosSAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common1421148926678803836\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">146</td>\n",
       "        <td class=\"number\">37.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">91</td>\n",
       "        <td class=\"number\">23.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:62%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">66</td>\n",
       "        <td class=\"number\">16.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:45%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">47</td>\n",
       "        <td class=\"number\">11.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:32%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">45</td>\n",
       "        <td class=\"number\">11.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme1421148926678803836\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">47</td>\n",
       "        <td class=\"number\">11.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:32%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">45</td>\n",
       "        <td class=\"number\">11.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">91</td>\n",
       "        <td class=\"number\">23.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:62%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">66</td>\n",
       "        <td class=\"number\">16.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:45%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">146</td>\n",
       "        <td class=\"number\">37.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">47</td>\n",
       "        <td class=\"number\">11.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:32%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">45</td>\n",
       "        <td class=\"number\">11.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">91</td>\n",
       "        <td class=\"number\">23.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:62%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">66</td>\n",
       "        <td class=\"number\">16.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:45%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">146</td>\n",
       "        <td class=\"number\">37.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_higher\">higher<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2722914396639409472\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>yes</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 94.9%\">\n",
       "            375\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>no</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:6%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 5.1%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        20\n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2722914396639409472, #minifreqtable2722914396639409472\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2722914396639409472\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">yes</td>\n",
       "        <td class=\"number\">375</td>\n",
       "        <td class=\"number\">94.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">no</td>\n",
       "        <td class=\"number\">20</td>\n",
       "        <td class=\"number\">5.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_internet\">internet<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6461599920763049931\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>yes</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 83.3%\">\n",
       "            329\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>no</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:20%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 16.7%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        66\n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6461599920763049931, #minifreqtable-6461599920763049931\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6461599920763049931\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">yes</td>\n",
       "        <td class=\"number\">329</td>\n",
       "        <td class=\"number\">83.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">no</td>\n",
       "        <td class=\"number\">66</td>\n",
       "        <td class=\"number\">16.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_nursery\">nursery<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable5220811371386837031\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>yes</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 79.5%\">\n",
       "            314\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>no</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:26%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 20.5%\">\n",
       "            81\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable5220811371386837031, #minifreqtable5220811371386837031\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable5220811371386837031\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">yes</td>\n",
       "        <td class=\"number\">314</td>\n",
       "        <td class=\"number\">79.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">no</td>\n",
       "        <td class=\"number\">81</td>\n",
       "        <td class=\"number\">20.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:26%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_paid\">paid<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable4177062227264522765\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>no</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 54.2%\">\n",
       "            214\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>yes</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:84%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 45.8%\">\n",
       "            181\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable4177062227264522765, #minifreqtable4177062227264522765\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable4177062227264522765\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">no</td>\n",
       "        <td class=\"number\">214</td>\n",
       "        <td class=\"number\">54.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">yes</td>\n",
       "        <td class=\"number\">181</td>\n",
       "        <td class=\"number\">45.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:84%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_reason\">reason<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>4</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>1.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable191432703681775339\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>course</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 36.7%\">\n",
       "            145\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>home</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:75%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 27.6%\">\n",
       "            109\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>reputation</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:72%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 26.6%\">\n",
       "            105\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable191432703681775339, #minifreqtable191432703681775339\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable191432703681775339\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">course</td>\n",
       "        <td class=\"number\">145</td>\n",
       "        <td class=\"number\">36.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">home</td>\n",
       "        <td class=\"number\">109</td>\n",
       "        <td class=\"number\">27.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:75%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">reputation</td>\n",
       "        <td class=\"number\">105</td>\n",
       "        <td class=\"number\">26.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:72%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">other</td>\n",
       "        <td class=\"number\">36</td>\n",
       "        <td class=\"number\">9.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_romantic\">romantic<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable705101083499417217\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>no</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 66.6%\">\n",
       "            263\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>yes</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:50%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 33.4%\">\n",
       "            132\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable705101083499417217, #minifreqtable705101083499417217\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable705101083499417217\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">no</td>\n",
       "        <td class=\"number\">263</td>\n",
       "        <td class=\"number\">66.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">yes</td>\n",
       "        <td class=\"number\">132</td>\n",
       "        <td class=\"number\">33.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_school\">school<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-8965414950246011380\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>GP</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 88.4%\">\n",
       "            349\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>MS</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 11.6%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        46\n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-8965414950246011380, #minifreqtable-8965414950246011380\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-8965414950246011380\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">GP</td>\n",
       "        <td class=\"number\">349</td>\n",
       "        <td class=\"number\">88.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">MS</td>\n",
       "        <td class=\"number\">46</td>\n",
       "        <td class=\"number\">11.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_schoolsup\">schoolsup<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable143726881149214554\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>no</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 87.1%\">\n",
       "            344\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>yes</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:15%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 12.9%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        51\n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable143726881149214554, #minifreqtable143726881149214554\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable143726881149214554\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">no</td>\n",
       "        <td class=\"number\">344</td>\n",
       "        <td class=\"number\">87.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">yes</td>\n",
       "        <td class=\"number\">51</td>\n",
       "        <td class=\"number\">12.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_sex\">sex<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.5%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-2801222097776143475\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>F</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 52.7%\">\n",
       "            208\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>M</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:90%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 47.3%\">\n",
       "            187\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-2801222097776143475, #minifreqtable-2801222097776143475\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-2801222097776143475\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">F</td>\n",
       "        <td class=\"number\">208</td>\n",
       "        <td class=\"number\">52.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">M</td>\n",
       "        <td class=\"number\">187</td>\n",
       "        <td class=\"number\">47.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:90%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_studytime\">studytime<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>4</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>2.0354</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>1</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>4</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram1520254467288462379\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAbVJREFUeJzt3UEOk1AUhtFL4xQW0MAuXIR7cuyeXIS7gHQBNA4cWBxonWj%2BhMQ%2BRM8Ztg33NeULoaS027Ztq8aWZalpmlqP5eTmea5xHJvOfNN02g9931fV9zc8DMMRS%2BBE1nWtaZp%2B7jctHRJI13VVVTUMw6kCefv%2B467Xf/rw7kUr%2BT8995uWLs0nwokIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCwSF3NUn23jmkyt1DeB1HEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAj%2Buivp7Od/S17HEQQCgUAgEAgEAoFAIBAIBAKBwHUQXuZf%2BHWoIwgEAoFAIBAIBAKBQHDIt1jbtlVV1bquvzz39cvn3dv73XZeYe/arOvPfJbPx577TUvddsDUZVlqmqbWYzm5eZ5rHMemMw8J5PF41O12q77vq%2Bu61uM5mW3b6n6/1/V6rcul7VnBIYHAWThJh0AgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCD4BpEzXeGN3FbpAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives1520254467288462379,#minihistogram1520254467288462379\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives1520254467288462379\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles1520254467288462379\"\n",
       "                                                  aria-controls=\"quantiles1520254467288462379\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram1520254467288462379\" aria-controls=\"histogram1520254467288462379\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common1520254467288462379\" aria-controls=\"common1520254467288462379\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme1520254467288462379\" aria-controls=\"extreme1520254467288462379\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles1520254467288462379\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.83924</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.41231</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.014432</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>2.0354</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.58602</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.63214</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>804</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.70432</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram1520254467288462379\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X10VdWdxvHnSsjlpcnlPTcpAaMTsRKkQKgEVAJoIAqMRYsUTINCBkdEeRtKZNoGZyD4ilpGWt%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%2B/fuD%2Bvj9fk2bNk2dOnVS27ZtNXr0aH355ZdBfQ4ePKhRo0apbdu26tSpk%2B677z6dPHmyMT8KAABoQpp1wMrNzdXUqVO1fft25eTk6NSpU0pJSdGxY8cCfaZPn641a9Zo1apVeu%2B991RZWamRI0fq9OnTkqTTp0/r5ptv1rFjx/Tee%2B9p1apVeu211zRr1iy7PhYAAHA4l2VZlt1FNJbDhw%2BrS5cuys3N1fXXXy%2Bfz6fOnTvrxRdf1O233y7p729df%2ButtzR8%2BHC9/fbbGjlypIqLixUTEyNJWrVqlSZOnKiysrJ6vdeqvLxcHo9HPp%2BP92ABANBI7Pz926xXsM7n8/kkSR06dJAk7dy5U1VVVUpJSQn0iYmJUUJCgvLy8iRJ27ZtU0JCQiBcSdLw4cPl9/u1c%2BfOGn%2BO3%2B9XeXl50AYAAEJHyAQsy7I0c%2BZMXXvttUpISJAklZaWKjw8XO3btw/qGxUVpdLS0kCfqKiooOPt27dXeHh4oM/5srOz5fF4AhvfQwgAQGgJmYB17733as%2BePfrv//7vOvtalhX0Wv2aXrF/fp9zZWZmyufzBbbi4uLvXzgAAGhyQiJgTZs2TW%2B%2B%2BaY2bdoU9G3aXq9XJ0%2Be1NGjR4P6l5WVBVatvF5vtZWqo0ePqqqqqtrK1llutzvwvYN8/yAAAKGnWX/Zs2VZmjZtmtasWaPNmzcrLi4u6Hi/fv3UsmVL5eTkaOzYsZKkkpIS7d27Vw8//LAkKSkpSQsWLFBJSYmio6MlSRs2bJDb7Va/fv0a9wMBF5A4b73dJdRb/oIRdpcAAA2qWQesqVOn6uWXX9Ybb7yhiIiIwEqUx%2BNR69at5fF4NGnSJM2aNUsdO3ZUhw4dNHv2bPXq1Us33HCDJCklJUVXXXWV0tLS9Mgjj%2Bivf/2rZs%2BerYyMDFamAABAjZp1wFq6dKkkKTk5Oah92bJlmjhxoiRp8eLFCgsL09ixY3X8%2BHENGzZMy5cvV4sWLSRJLVq00Lp163TPPfdo0KBBat26tcaPH69HH320MT8KAABoQkLqPVh24T1YaAzcIgSAYLwHCwAAoBkhYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCsWQesLVu2aNSoUYqJiZHL5dLatWuDjrtcrhq3Rx55JNDn0ksvrXZ87ty5jf1RAABAExJmdwEN6dixY%2Brdu7fuvPNO3XrrrdWOl5SUBO2//fbbmjRpUrW%2BDz74oDIyMgL7P/jBDxqmYAAA0Cw064CVmpqq1NTUWo97vd6g/TfeeENDhgzRZZddFtQeERFRrS8AAEBtmvUtwovx1Vdfad26dZo0aVK1Yw899JA6duyoH//4x1qwYIFOnjxpQ4UAAKCpaNYrWBdjxYoVioiI0JgxY4La77//fvXt21ft27fXBx98oMzMTBUVFem5556r9Vp%2Bv19%2Bvz%2BwX15e3mB1AwAA5yFg/c0LL7ygCRMmqFWrVkHtM2bMCPz76quvVvv27XXbbbcFVrVqkp2drfnz5zdovQAAwLm4RShp69at2r9/vyZPnlxn3wEDBkiSPv3001r7ZGZmyufzBbbi4mJjtQIAAOdjBUvS888/r379%2Bql379519i0oKJAkRUdH19rH7XbL7XYbqw8AADQtzTpgVVZWBq00FRUVqbCwUB06dFC3bt0kffd81KuvvqrHHnus2vnbtm3T9u3bNWTIEHk8Hu3YsUMzZszQ6NGjA%2BcDAACcr1kHrPz8fA0ZMiSwP3PmTElSenq6li9fLklatWqVLMvSz3/%2B82rnu91urV69WvPnz5ff71f37t2VkZGhOXPmNEr9AACgaXJZlmXZXURzV15eLo/HI5/Pp8jISLvLQTOVOG%2B93SXUW/6CEXaXACAE2Pn7l4fcAQAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYFizDlhbtmzRqFGjFBMTI5fLpbVr1wYdnzhxolwuV9A2YMCAoD5%2Bv1/Tpk1Tp06d1LZtW40ePVpffvllY34MAADQxDTrgHXs2DH17t1bS5YsqbXPiBEjVFJSEtjeeuutoOPTp0/XmjVrtGrVKr333nuqrKzUyJEjdfr06YYuHwAANFFhdhfQkFJTU5WamnrBPm63W16vt8ZjPp9Pzz//vF588UXdcMMNkqSXXnpJsbGx2rhxo4YPH268ZgAA0PQ16xWs%2Bti8ebO6dOmiK664QhkZGSorKwsc27lzp6qqqpSSkhJoi4mJUUJCgvLy8mq9pt/vV3l5edAGAABCR0gHrNTUVK1cuVJ//OMf9dhjj2nHjh0aOnSo/H6/JKm0tFTh4eFq37590HlRUVEqLS2t9brZ2dnyeDyBLTY2tkE/BwAAcJZmfYuwLrfffnvg3wkJCUpMTFT37t21bt06jRkzptbzLMuSy%2BWq9XhmZqZmzpwZ2C8vLydkAQAQQkJ6Bet80dHR6t69uw4cOCBJ8nq9OnnypI4ePRrUr6ysTFFRUbVex%2B12KzIyMmgDAAChg4B1jq%2B//lrFxcWKjo6WJPXr108tW7ZUTk5OoE9JSYn27t2rgQMH2lUmAABwuGZ9i7CyslKffvppYL%2BoqEiFhYXq0KGDOnTooKysLN16662Kjo7Wn//8Zz3wwAPq1KmTfvrTn0qSPB6PJk2apFmzZqljx47q0KGDZs%2BerV69egX%2BqhAAAOB8zTpg5efna8iQIYH9s89Fpaena%2BnSpfrwww/1hz/8Qd98842io6M1ZMgQrV69WhEREYFzFi9erLCwMI0dO1bHjx/XsGHDtHz5crVo0aLRPw8AAGgaXJZlWXYX0dyVl5fL4/HI5/PxPBYaTOK89XaXUG/5C0bYXQKAEGDn71%2BewQIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCwZh2wtmzZolGjRikmJkYul0tr164NHKuqqtIvf/lL9erVS23btlVMTIx%2B8Ytf6NChQ0HXuPTSS%2BVyuYK2uXPnNvZHAQAATUizDljHjh1T7969tWTJkmrHvv32W%2B3atUu/%2BtWvtGvXLr3%2B%2Buv65JNPNHr06Gp9H3zwQZWUlAS2f//3f2%2BM8gEAQBMVZncBDSk1NVWpqak1HvN4PMrJyQlq%2B%2B1vf6uf/OQnOnjwoLp16xZoj4iIkNfrbdBaAQBA8%2BHYFayXXnpJJ06caNSf6fP55HK51K5du6D2hx56SB07dtSPf/xjLViwQCdPnmzUugAAQNPi2IA1c%2BZMeb1eTZkyRR988EGD/7wTJ05o7ty5Gj9%2BvCIjIwPt999/v1atWqVNmzbp3nvv1RNPPKF77rnngtfy%2B/0qLy8P2gAAQOhwbMA6dOiQXnjhBZWUlOjaa69Vz5499dhjj%2Bnw4cPGf1ZVVZXGjRunM2fO6Omnnw46NmPGDA0ePFhXX321Jk%2BerN/97nd6/vnn9fXXX9d6vezsbHk8nsAWGxtrvGYAAOBcjg1YYWFhGjNmjN58800dPHhQ6enpeuGFF9S1a1eNGTNG69atk2VZ//DPqaqq0tixY1VUVKScnJyg1auaDBgwQJL06aef1tonMzNTPp8vsBUXF//DdQIAgKbDsQHrXF6vV8OGDVNycrJcLpfy8/M1fvx4xcfHa%2BvWrd/7umfD1YEDB7Rx40Z17NixznMKCgokSdHR0bX2cbvdioyMDNoAAEDocHTAOnLkiJ544gn17t1bgwYNUllZmdauXasvvvhCf/nLXzRy5Ej94he/qPX8yspKFRYWqrCwUJJUVFSkwsJCHTx4UKdOndJtt92m/Px8rVy5UqdPn1ZpaalKS0sDD7Fv27ZNixcvVmFhoYqKivTKK69oypQpGj16dNBfGQIAAJzLZZm4z9YAfvrTn%2Bqtt95SXFycJk%2BerPT0dHXu3Dmoz6FDh9S1a1edOXOmxmts3rxZQ4YMqdaenp6urKwsxcXF1Xjepk2blJycrF27dumee%2B7Rn/70J/n9fnXv3l3jxo3TnDlz1KZNm3p/lvLycnk8Hvl8Plaz0GAS5623u4R6y18wwu4SAIQAO3//OvY9WJGRkdq4caOuu%2B66WvtER0frwIEDtR5PTk6%2B4HNadWXLvn37avv27XUXCwAAcA7HBqwVK1bU2cflcunyyy9vhGoAAADqz7HPYM2YMaPGr7j5r//6L82aNcuGigAAAOrHsQHr1VdfDbwS4VxJSUlavXq1DRUBAADUj2MD1pEjR9S%2Bfftq7ZGRkTpy5IgNFQEAANSPYwPW5Zdfrnfeeada%2BzvvvFPrX/8BAAA4gWMfcp8%2BfbqmT5%2Bur7/%2BWkOHDpUkvfvuu3r44Yf16KOP2lwdAABA7RwbsDIyMnTixAktXLhQv/nNbyRJXbt21VNPPaW77rrL5uoAAABq59iAJUnTpk3TtGnTVFJSotatW6tdu3Z2lwQAAFAnRwessy70vX8AAABO49iH3A8fPqw777xT3bp1U6tWrRQeHh60AQAAOJVjV7AmTpyozz77TP/2b/%2Bm6OhouVwuu0sCAACoF8cGrC1btmjLli3q06eP3aUAAABcFMfeIuzatSurVgAAoElybMBavHixMjMz9eWXX9pdCgAAwEVx7C3CtLQ0VVRUqHv37oqMjFTLli2DjpeVldlUGQAAwIU5NmAtWrTI7hIAAAC%2BF8cGrEmTJtldAgAAwPfi2GewJOnPf/6zsrKylJaWFrgluGHDBn388cc2VwYAAFA7xwasrVu3qmfPnsrNzdUrr7yiyspKSdKuXbv061//2ubqAAAAaufYgPXLX/5SWVlZ2rRpU9Cb24cOHart27fbWBkAAMCFOTZg7dmzR7fddlu19i5duujw4cM2VAQAAFA/jg1Y7dq1U2lpabX2wsJC/fCHP7ShIgAAgPpxbMAaN26c5s6dq8OHDwfe6P7%2B%2B%2B9r9uzZuuOOO2yuDgAAoHaODVgLFy6U1%2BtVdHS0KisrddVVV2ngwIHq37%2B/fvWrX9ldHgAAQK0c%2Bx6s8PBwrV69Wp988ol27dqlM2fOqG/fvrryyivtLs1REuett7uEestfMMLuEgAAaBSODVhnXXHFFbriiivsLgMAAKDeHBuw/uVf/uWCx5955plGqgQAAODiODZglZSUBO1XVVVp3759qqio0PXXX29TVQAAAHVz7EPu//u//xu0rV%2B/XkVFRfrZz36m5OTkel1jy5YtGjVqlGJiYuRyubR27dqg45ZlKSsrSzExMWrdurWSk5O1b9%2B%2BoD5Hjx5VWlqaPB6PPB6P0tLS9M0335j6mAAAoBlybMCqSVhYmGbPnq1HHnmkXv2PHTum3r17a8mSJTUef/jhh/X4449ryZIl2rFjh7xer2688UZVVFQE%2BowfP16FhYVav3691q9fr8LCQqWlpRn5PAAAoHly7C3C2nz%2B%2BeeqqqqqV9/U1FSlpqbWeMyyLD3xxBOaN2%2BexowZI0lasWKFoqKi9PLLL2vKlCn6%2BOOPtX79em3fvl3XXHONJOnZZ59VUlKS9u/frx49epj5UAAAoFlxbMCaM2dO0L5lWSopKdGbb76pCRMm/MPXLyoqUmlpqVJSUgJtbrdbgwcPVl5enqZMmaJt27bJ4/EEwpUkDRgwQB6PR3l5ebUGLL/fL7/fH9gvLy//h%2BsFAABNh2MD1rZt24L2L7nkEnXu3FmLFi1SRkbGP3z9s1/DExUVFdQeFRWlL774ItCnS5cu1c7t0qVLjV/jc1Z2drbmz5//D9cIAACaJscGrK1btzbKzzn7NTxnWZYV1Hb%2B8Zr6nC8zM1MzZ84M7JeXlys2NtZAtQAAoClwbMBqaF6vV9J3q1TR0dGB9rKyssCqltfr1VdffVXt3MOHD1db%2BTqX2%2B2W2%2B02XDEAAGgqHBuw%2Bvfvf8FVonN98MEHF339uLg4eb1e5eTkqE%2BfPpKkkydPKjc3Vw899JAkKSkpST6fTx988IF%2B8pOfSPruC6d9Pp8GDhx40T8TAACEBscGrCFDhuj3v/%2B9rrjiCiUlJUmStm/frv3792vKlCn1WiGqrKzUp59%2BGtgvKipSYWGhOnTooG7dumn69OlauHCh4uPjFR8fr4ULF6pNmzYaP368JOlHP/qRRowYoYyMDP3%2B97%2BX9N0b5keOHMlfEAIAgFo5NmB98803mjp1qhYuXBjUPm/ePH311Vd67rnn6rxGfn6%2BhgwZEtg/%2B1xUenq6li9frjlz5uj48eO65557dPToUV1zzTXasGGDIiIiAuesXLlS9913X%2BCvDUePHl3re7UAAAAkyWVZlmV3ETVp166dduzYofj4%2BKD2AwcOKDExUT6fz6bKLl55ebk8Ho98Pp8iIyONXjtx3nqj12tI%2BQtG2F1Cs8ZcAIBgDfn7ty6OfZO72%2B1WXl5etfa8vDweIAcAAI7m2FuE9913n%2B6%2B%2B24VFBRowIABkr57BuvZZ5/VAw88YHN1AAAAtXNswJo3b57i4uL05JNP6oUXXpD03UPnzz77bOAhdAAAACdybMCSvvuiZcIUAABoahz7DJb03cNpy5cv169//WsdPXpUkrR7926VlJTYXBkAAEDtHLuCtXfvXt1www1q06aNiouLNXHiRLVv316vvPKKvvzyS61YscLuEgEAAGrk2BWsGTNmaPz48frss8/UqlWrQPvNN9%2BsLVu22FgZAADAhTl2BWvHjh1aunRpta/L%2BeEPf8gtQgAA4GiOXcEKDw9XZWVltfYDBw6oU6dONlQEAABQP44NWKNHj9Z//Md/6NSpU5Ikl8ulv/zlL5o7d67GjBljc3UAAAC1c2zAeuyxx3To0CF5vV4dP35cQ4cO1WWXXaZWrVpV%2B35CAAAAJ3HsM1gej0d5eXnKycnRrl27dObMGfXt21fDhw%2Bv9lwWAACAkzgyYFVVVemmm27S008/rZSUFKWkpNhdEgAAQL058hZhy5YtVVBQwEoVAABokhwZsCTpjjvu0LJly%2BwuAwAA4KI58hbhWUuWLNHGjRuVmJiotm3bBh17%2BOGHbaoKAADgwhwbsHbu3Kmrr75akrRnz56gY9w6BAAATua4gPX5558rLi5OW7dutbsUAACA78Vxz2DFx8fr8OHDgf3bb79dX331lY0VAQAAXBzHBSzLsoL233rrLR07dsymagAAAC6e4wIWAABAU%2Be4gOVyuao9xM5D7QAAoClx3EPulmVp4sSJcrvdkqQTJ07o7rvvrvaahtdff92O8gAAAOrkuICVnp4etH/HHXfYVAkAAMD347iAxdvbAQBAU%2Be4Z7AAAACaOgIWAACAYSEfsC699NLAXy6eu02dOlWSlJycXO3YuHHjbK4aAAA4meOewWpsO3bs0OnTpwP7e/fu1Y033qif/exngbaMjAw9%2BOCDgf3WrVs3ao0AAKBpCfmA1blz56D9RYsW6fLLL9fgwYMDbW3atJHX623s0gAAQBMV8rcIz3Xy5Em99NJLuuuuu4Jebrpy5Up16tRJPXv21OzZs1VRUWFjlQAAwOlCfgXrXGvXrtU333yjiRMnBtomTJiguLg4eb1e7d27V5mZmdq9e7dycnJqvY7f75ff7w/sl5eXN2TZAADAYQhY53j%2B%2BeeVmpqqmJiYQFtGRkbg3wkJCYqPj1diYqJ27dqlvn371nid7OxszZ8/v8HrBQAAzsQtwr/54osvtHHjRk2ePPmC/fr27auWLVvqwIEDtfbJzMyUz%2BcLbMXFxabLBQAADsYK1t8sW7ZMXbp00c0333zBfvv27VNVVZWio6Nr7eN2uwPfpQgAAEIPAUvSmTNntGzZMqWnpyss7O9D8tlnn2nlypW66aab1KlTJ3300UeaNWuW%2BvTpo0GDBtlYMQAAcDIClqSNGzfq4MGDuuuuu4Law8PD9e677%2BrJJ59UZWWlYmNjdfPNN%2Bs3v/mNWrRoYVO1AADA6QhYklJSUmRZVrX22NhY5ebm2lARAABoynjIHQAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAw3uQOAM1M4rz1dpdQb/kLRthdAtAgWMECAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGBYyAesrKwsuVyuoM3r9QaOW5alrKwsxcTEqHXr1kpOTta%2BfftsrBgAADhdyAcsSerZs6dKSkoC24cffhg49vDDD%2Bvxxx/XkiVLtGPHDnm9Xt14442qqKiwsWIAAOBkBCxJYWFh8nq9ga1z586Svlu9euKJJzRv3jyNGTNGCQkJWrFihb799lu9/PLLNlcNAACcioAl6cCBA4qJiVFcXJzGjRunzz//XJJUVFSk0tJSpaSkBPq63W4NHjxYeXl5tV7P7/ervLw8aAMAAKEj5APWNddcoz/84Q9655139Oyzz6q0tFQDBw7U119/rdLSUklSVFRU0DlRUVGBYzXJzs6Wx%2BMJbLGxsQ36GQAAgLOEfMBKTU3Vrbfeql69eumGG27QunXrJEkrVqwI9HG5XEHnWJZVre1cmZmZ8vl8ga24uLhhigcAAI4U8gHrfG3btlWvXr104MCBwF8Tnr9aVVZWVm1V61xut1uRkZFBGwAACB0ErPP4/X59/PHHio6OVlxcnLxer3JycgLHT548qdzcXA0cONDGKgEAgJOF2V2A3WbPnq1Ro0apW7duKisr03/%2B53%2BqvLxc6enpcrlcmj59uhYuXKj4%2BHjFx8dr4cKFatOmjcaPH2936QAAwKFCPmB9%2BeWX%2BvnPf64jR46oc%2BfOGjBggLZv367u3btLkubMmaPjx4/rnnvu0dGjR3XNNddow4YNioiIsLlyAADgVCEfsFatWnXB4y6XS1lZWcrKymqcggAAQJPHM1gAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYFvIBKzs7W/3791dERIS6dOmiW265Rfv37w/qk5ycLJfLFbSNGzfOpooBAIDThdldgN1yc3M1depU9e/fX6dOndK8efOUkpKijz76SG3btg30y8jI0IMPPhjYb926tR3lAgBQb4nz1ttdQr3lLxhhdwlGhXzAWr8%2BePItW7ZMXbp00c6dO3X99dcH2tu0aSOv19vY5QEAgCYo5G8Rns/n80mSOnToENS%2BcuVKderUST179tTs2bNVUVFhR3kAAKAJCPkVrHNZlqWZM2fq2muvVUJCQqB9woQJiouLk9fr1d69e5WZmandu3crJyenxuv4/X75/f7Afnl5eYPXDgAAnIOAdY57771Xe/bs0XvvvRfUnpGREfh3QkKC4uPjlZiYqF27dqlv377VrpOdna358%2Bc3eL0AAMCZuEX4N9OmTdObb76pTZs2qWvXrhfs27dvX7Vs2VIHDhyo8XhmZqZ8Pl9gKy4uboiSAQCAQ4X8CpZlWZo2bZrWrFmjzZs3Ky4urs5z9u3bp6qqKkVHR9d43O12y%2B12my4VAAA0ESEfsKZOnaqXX35Zb7zxhiIiIlSQkExdAAAKiElEQVRaWipJ8ng8at26tT777DOtXLlSN910kzp16qSPPvpIs2bNUp8%2BfTRo0CCbqwcAAE4U8rcIly5dKp/Pp%2BTkZEVHRwe21atXS5LCw8P17rvvavjw4erRo4fuu%2B8%2BpaSkaOPGjWrRooXN1QMAACcK%2BRUsy7IueDw2Nla5ubmNVA0AAGgOQn4FCwAAwDQCFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsOrp6aefVlxcnFq1aqV%2B/fpp69atdpcEAAAcioBVD6tXr9b06dM1b948FRQU6LrrrlNqaqoOHjxod2kAAMCBCFj18Pjjj2vSpEmaPHmyfvSjH%2BmJJ55QbGysli5dandpAADAgcLsLsDpTp48qZ07d2ru3LlB7SkpKcrLy6vxHL/fL7/fH9j3%2BXySpPLycuP1nfYfM37NhtIQnx9/x1zAWcwFnBXqc%2BHsNS3LMn7tuhCw6nDkyBGdPn1aUVFRQe1RUVEqLS2t8Zzs7GzNnz%2B/WntsbGyD1NhUeB6zuwI4BXMBZzEXcFZDzoWKigp5PJ6G%2BwE1IGDVk8vlCtq3LKta21mZmZmaOXNmYP/MmTP661//qo4dO9Z6zvdRXl6u2NhYFRcXKzIy0th1mxPG6MIYn7oxRnVjjC6M8albQ42RZVmqqKhQTEyMsWvWFwGrDp06dVKLFi2qrVaVlZVVW9U6y%2B12y%2B12B7W1a9euwWqMjIzkP9o6MEYXxvjUjTGqG2N0YYxP3RpijBp75eosHnKvQ3h4uPr166ecnJyg9pycHA0cONCmqgAAgJOxglUPM2fOVFpamhITE5WUlKRnnnlGBw8e1N133213aQAAwIFaZGVlZdldhNMlJCSoY8eOWrhwoR599FEdP35cL774onr37m13aWrRooWSk5MVFkZWrg1jdGGMT90Yo7oxRhfG%2BNStuY2Ry7LjbxcBAACaMZ7BAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELIfasmWLRo0apZiYGLlcLq1du7bOc3Jzc9WvXz%2B1atVKl112mX73u981QqX2udgx2rx5s1wuV7XtT3/6UyNV3Liys7PVv39/RUREqEuXLrrlllu0f//%2BOs977bXXdNVVV8ntduuqq67SmjVrGqFae3yfMVq%2BfHmN8%2BjEiRONVHXjWrp0qa6%2B%2BurACyCTkpL09ttvX/CcUJpD0sWPUajNofNlZ2fL5XJp%2BvTpF%2BzX1OcRAcuhjh07pt69e2vJkiX16l9UVKSbbrpJ1113nQoKCvTAAw/ovvvu02uvvdbAldrnYsforP3796ukpCSwxcfHN1CF9srNzdXUqVO1fft25eTk6NSpU0pJSdGxY7V/%2Beu2bdt0%2B%2B23Ky0tTbt371ZaWprGjh2r999/vxErbzzfZ4yk7942fe4cKikpUatWrRqp6sbVtWtXLVq0SPn5%2BcrPz9fQoUP1z//8z9q3b1%2BN/UNtDkkXP0ZSaM2hc%2B3YsUPPPPOMrr766gv2axbzyILjSbLWrFlzwT5z5syxrrzyyqC2KVOmWAMGDGjI0hyjPmO0adMmS5J19OjRRqrKWcrKyixJVm5ubq19xo4da40YMSKobfjw4da4ceMaujxHqM8YLVu2zPJ4PI1YlfO0b9/eeu6552o8Fupz6KwLjVGozqGKigorPj7eysnJsQYPHmzdf//9tfZtDvOIFaxmYtu2bUpJSQlqGz58uPLz81VVVWVTVc7Up08fRUdHa9iwYdq0aZPd5TQan88nSerQoUOtfWqbR3l5eQ1am1PUZ4wkqbKyUt27d1fXrl01cuRIFRQUNEZ5tjt9%2BrRWrVqlY8eOKSkpqcY%2BoT6H6jNGUmjOoalTp%2Brmm2/WDTfcUGff5jCPmsfrUqHS0tJqXz4dFRWlU6dO6ciRI4qOjrapMueIjo7WM888o379%2Bsnv9%2BvFF1/UsGHDtHnzZl1//fV2l9egLMvSzJkzde211yohIaHWfrXNo/O/7Lw5qu8YXXnllVq%2BfLl69eql8vJyPfnkkxo0aJB2797dbG83f/jhh0pKStKJEyf0gx/8QGvWrNFVV11VY99QnUMXM0ahOIdWrVqlnTt3Kj8/v179m8M8ImA1Iy6XK2jf%2BttL%2Bs9vD1U9evRQjx49AvtJSUkqLi7Wo48%2B2uwD1r333qs9e/bovffeq7NvTfMoFOZQfcdowIABGjBgQGB/0KBB6tu3r37729/qqaeeaugybdGjRw8VFhbqm2%2B%2B0Wuvvab09HTl5ubWGiBCcQ5dzBiF2hwqLi7W/fffrw0bNlzUc2ZNfR5xi7CZ8Hq91ZJ9WVmZwsLC1LFjR5uqcr4BAwbowIEDdpfRoKZNm6Y333xTmzZtUteuXS/Yt7Z5dP7/k2xuLmaMznfJJZeof//%2BzXoehYeH65/%2B6Z%2BUmJio7Oxs9e7dW08%2B%2BWSNfUN1Dl3MGJ2vuc%2BhnTt3qqysTP369VNYWJjCwsKUm5urp556SmFhYTp9%2BnS1c5rDPCJgNRNJSUnKyckJatuwYYMSExPVsmVLm6pyvoKCgmZ7%2B9SyLN177716/fXX9cc//lFxcXF1nlPbPBo4cGBDlWmr7zNGNV2jsLCw2c6jmliWJb/fX%2BOxUJtDtbnQGNXUtznPoWHDhunDDz9UYWFhYEtMTNSECRNUWFioFi1aVDunWcwje56tR10qKiqsgoICq6CgwJJkPf7441ZBQYH1xRdfWJZlWXPnzrXS0tIC/T///HOrTZs21owZM6yPPvrIev75562WLVta//M//2PXR2hwFztGixcvttasWWN98skn1t69e625c%2BdakqzXXnvNro/QoP71X//V8ng81ubNm62SkpLA9u233wb6pKWlWXPnzg3s/9///Z/VokULa9GiRdbHH39sLVq0yAoLC7O2b99ux0docN9njLKysqz169dbn332mVVQUGDdeeedVlhYmPX%2B%2B%2B/b8REaXGZmprVlyxarqKjI2rNnj/XAAw9Yl1xyibVhwwbLsphDlnXxYxRqc6gm5/8VYXOcRwQshzr7SoHzt/T0dMuyLCs9Pd0aPHhw0DmbN2%2B2%2BvTpY4WHh1uXXnqptXTp0sYvvBFd7Bg99NBD1uWXX261atXKat%2B%2BvXXttdda69ats6f4RlDT2Eiyli1bFugzePDgwHid9eqrr1o9evSwWrZsaV155ZXNNoBa1vcbo%2BnTp1vdunWzwsPDrc6dO1spKSlWXl5e4xffSO666y6re/fugc87bNiwQHCwLOaQZV38GIXaHKrJ%2BQGrOc4jl2X97UloAAAAGMEzWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADPt/HRE2ynFLKtkAAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common1520254467288462379\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">198</td>\n",
       "        <td class=\"number\">50.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">105</td>\n",
       "        <td class=\"number\">26.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:53%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">65</td>\n",
       "        <td class=\"number\">16.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:33%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">27</td>\n",
       "        <td class=\"number\">6.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme1520254467288462379\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">105</td>\n",
       "        <td class=\"number\">26.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:53%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">198</td>\n",
       "        <td class=\"number\">50.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">65</td>\n",
       "        <td class=\"number\">16.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:33%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">27</td>\n",
       "        <td class=\"number\">6.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">105</td>\n",
       "        <td class=\"number\">26.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:53%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">198</td>\n",
       "        <td class=\"number\">50.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">65</td>\n",
       "        <td class=\"number\">16.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:33%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">27</td>\n",
       "        <td class=\"number\">6.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_traveltime\">traveltime<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>4</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>1.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>1.4481</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>1</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>4</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-512987182213163840\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAbZJREFUeJzt3MGJ21AUhtErk61UgJG6SBHpKev0lCLShYQLkJlFFrGySJzNhB8M46fRcM7ShnefsT4eNkjdtm1bNbYsS03T1HosBzfPc43j2HTmp6bT/ur7vqr%2BfOBhGPbYAgeyrmtN0/Tvumlpl0C6rquqqmEYXgXy%2Bev3h9f78e3Lm%2ByL9%2B1%2B3bR0aj4RDkQgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEOzy6NGjevSxqB6JenxOEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQC94N8AO5TeR4nCAROEJ7m0ZOt6v2dbrsEsm1bVVWt6/rqvV8/Xx5e73/rPMOje7Ovt/ku76/dr5uWum2Hqcuy1DRNrcdycPM81ziOTWfuEsjtdqvL5VJ931fXda3HczDbttX1eq3z%2BVynU9ufzbsEAkfhXywIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEgt/jL13hxQYzgAAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-512987182213163840,#minihistogram-512987182213163840\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-512987182213163840\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-512987182213163840\"\n",
       "                                                  aria-controls=\"quantiles-512987182213163840\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-512987182213163840\" aria-controls=\"histogram-512987182213163840\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-512987182213163840\" aria-controls=\"common-512987182213163840\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-512987182213163840\" aria-controls=\"extreme-512987182213163840\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
       "\n",
       "    </ul>\n",
       "\n",
       "    <div class=\"tab-content\">\n",
       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-512987182213163840\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>4</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.6975</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.48167</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>2.3442</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>1.4481</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.5831</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>1.607</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>572</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.48651</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>3.2 KiB</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-512987182213163840\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X9wVNX9//HXmpAgNFkJkGxiok1tQCDI8GtIAgqCBlCglHbQRlPwB/7ihwiUEpnaOFVC8bdFqdgKFLGoRSyOmhIrBGwIkpiIIEWqKFESAxo3IYUl4P3%2B4Yf9uuQn9CT3snk%2BZu4M99yzl/c9PQ6vnnv3rsuyLEsAAAAw5jy7CwAAAAg2BCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMCzU7gLag2%2B//VYHDx5URESEXC6X3eUAANAuWJalmpoaxcXF6bzz2nZNiYDVBg4ePKiEhAS7ywAAoF0qKytTfHx8m/6dBKw2EBERIem7/4EjIyNtrgYAgPahurpaCQkJ/n%2BH2xIBqw2cui0YGRlJwAIAoI3Z8XgOD7kDAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDB%2B7PkcN2hhrt0ltFjRg2PsLgEAgDbBChYAAIBhBCwAAADDCFgAAACGBXXAysnJ0eDBgxUREaHo6GhNnDhRe/fuDegzYsQIuVyugO36668P6FNVVaXMzEy53W653W5lZmbqm2%2B%2BactLAQAA55CgDlj5%2BfmaPn26CgsLlZeXpxMnTig9PV21tbUB/aZNm6by8nL/9swzzwQcz8jIUGlpqXJzc5Wbm6vS0lJlZma25aUAAIBzSFB/izA3N/AbditWrFB0dLSKi4t1xRVX%2BNs7deokj8fT4Dn27Nmj3NxcFRYWasiQIZKkZ599Vqmpqdq7d6969uzZehcAAADOSUG9gnU6r9crSYqKigpoX7Nmjbp166Y%2Bffpo3rx5qqmp8R/btm2b3G63P1xJUkpKitxutwoKCtqmcAAAcE4J6hWs77MsS3PmzNGwYcOUnJzsb7/hhhuUmJgoj8ejXbt2KSsrS%2B%2B//77y8vIkSRUVFYqOjq53vujoaFVUVDT4d/l8Pvl8Pv9%2BdXW14asBAABO1m4C1owZM7Rz50698847Ae3Tpk3z/zk5OVlJSUkaNGiQ3nvvPQ0YMECS5HK56p3PsqwG26XvHq6///77DVYPAADOJe3iFuHMmTO1YcMGbdq0SfHx8U32HTBggDp06KB9%2B/ZJkjwej7788st6/Q4dOqSYmJgGz5GVlSWv1%2BvfysrK/veLAAAA54ygDliWZWnGjBl65ZVX9PbbbysxMbHZz%2BzevVt1dXWKjY2VJKWmpsrr9erdd9/199m%2Bfbu8Xq/S0tIaPEd4eLgiIyMDNgAA0H4E9S3C6dOn64UXXtDf//53RURE%2BJ%2BZcrvdOv/88/Xxxx9rzZo1uuaaa9StWzd9%2BOGHmjt3rvr376%2BhQ4dKknr16qUxY8Zo2rRp/tc33HbbbRo3bhzfIAQAAA0K6hWsZcuWyev1asSIEYqNjfVvL774oiQpLCxM//znPzV69Gj17NlTs2bNUnp6ut566y2FhIT4z7NmzRr17dtX6enpSk9P12WXXabVq1fbdVkAAMDhgnoFy7KsJo8nJCQoPz%2B/2fNERUXp%2BeefN1UWAAAIckG9ggUAAGAHAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGBYUAesnJwcDR48WBEREYqOjtbEiRO1d%2B/egD4%2Bn08zZ85Ut27d1LlzZ02YMEGff/55QJ8DBw5o/Pjx6ty5s7p166ZZs2bp%2BPHjbXkpAADgHBLUASs/P1/Tp09XYWGh8vLydOLECaWnp6u2ttbfZ/bs2Vq/fr3Wrl2rd955R0eOHNG4ceN08uRJSdLJkyd17bXXqra2Vu%2B8847Wrl2rdevWae7cuXZdFgAAcDiXZVmW3UW0lUOHDik6Olr5%2Bfm64oor5PV61b17d61evVrXXXedJOngwYNKSEjQG2%2B8odGjR%2BvNN9/UuHHjVFZWpri4OEnS2rVrNXXqVFVWVioyMrLZv7e6ulput1ter7dF/c/EoIW5Rs/XmooeHGN3CQCAdqQ1//1tTlCvYJ3O6/VKkqKioiRJxcXFqqurU3p6ur9PXFyckpOTVVBQIEnatm2bkpOT/eFKkkaPHi2fz6fi4uI2rB4AAJwrQu0uoK1YlqU5c%2BZo2LBhSk5OliRVVFQoLCxMXbp0CegbExOjiooKf5%2BYmJiA4126dFFYWJi/z%2Bl8Pp98Pp9/v7q62uSlAAAAh2s3K1gzZszQzp079de//rXZvpZlyeVy%2Bfe//%2BfG%2BnxfTk6O3G63f0tISDj7wgEAwDmnXQSsmTNnasOGDdq0aZPi4%2BP97R6PR8ePH1dVVVVA/8rKSv%2BqlcfjqbdSVVVVpbq6unorW6dkZWXJ6/X6t7KyMsNXBAAAnCyoA5ZlWZoxY4ZeeeUVvf3220pMTAw4PnDgQHXo0EF5eXn%2BtvLycu3atUtpaWmSpNTUVO3atUvl5eX%2BPhs3blR4eLgGDhzY4N8bHh6uyMjIgA0AALQfQf0M1vTp0/XCCy/o73//uyIiIvwrUW63W%2Beff77cbrduueUWzZ07V127dlVUVJTmzZunvn376qqrrpIkpaenq3fv3srMzNRDDz2kr7/%2BWvPmzdO0adMITgAAoEFBHbCWLVsmSRoxYkRA%2B4oVKzR16lRJ0mOPPabQ0FBNnjxZR48e1ahRo7Ry5UqFhIRIkkJCQvT666/rrrvu0tChQ3X%2B%2BecrIyNDDz/8cFteCgAAOIe0q/dg2YX3YH2H92ABANoS78ECAAAIIgQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABjm2ID1/PPP69ixY3aXAQAAcMYcG7DmzJkjj8ej22%2B/Xe%2B%2B%2B67d5QAAALSYYwPWwYMH9dxzz6m8vFzDhg1Tnz599Mgjj%2BjQoUN2lwYAANAkxwas0NBQTZo0SRs2bNCBAwc0ZcoUPffcc4qPj9ekSZP0%2Buuvy7Isu8sEAACox7EB6/s8Ho9GjRqlESNGyOVyqaioSBkZGUpKStLWrVvtLg8AACCAowPW4cOH9fjjj6tfv34aOnSoKisr9eqrr%2Bqzzz7TF198oXHjxumXv/yl3WUCAAAECLW7gMb89Kc/1RtvvKHExETdeuutmjJlirp37%2B4//oMf/EDz58/Xk08%2BaWOVAAAA9Tk2YEVGRuqtt97S5Zdf3mif2NhY7du3rw2rAgAAaJ5jA9aqVaua7eNyuXTJJZe0QTUAAAAt59hnsO655x4tXbq0XvtTTz2luXPn2lARAABAyzg2YL388stKSUmp156amqoXX3zRhooAAABaxrEB6/Dhw%2BrSpUu99sjISB0%2BfNiGigAAAFrGsQHrkksu0T/%2B8Y967f/4xz%2BUmJjYonNs2bJF48ePV1xcnFwul1599dWA41OnTpXL5QrYTl818/l8mjlzprp166bOnTtrwoQJ%2Bvzzz8/%2BwgAAQNBz7EPus2fP1uzZs/XVV19p5MiRkqR//vOfWrJkiR5%2B%2BOEWnaO2tlb9%2BvXTTTfdpJ/97GcN9hkzZoxWrFjh3w8LC6tXx2uvvaa1a9eqa9eumjt3rsaNG6fi4mKFhISc5dUBAIBg5tiANW3aNB07dkyLFi3Sb3/7W0lSfHy8nnzySd18880tOsfYsWM1duzYJvuEh4fL4/E0eMzr9erPf/6zVq9erauuukqS9PzzzyshIUFvvfWWRo8efQZXBAAA2gvH3iKUpJkzZ6q8vFxffPGFvv76ax04cKDF4aqlNm/erOjoaPXo0UPTpk1TZWWl/1hxcbHq6uqUnp7ub4uLi1NycrIKCgoaPafP51N1dXXABgAA2g9HB6xTYmNjdcEFFxg/79ixY7VmzRq9/fbbeuSRR7Rjxw6NHDlSPp9PklRRUaGwsLB6D9vHxMSooqKi0fPm5OTI7Xb7t4SEBOO1AwAA53JswDp06JBuuukmXXTRRerYsaPCwsICNhOuu%2B46XXvttUpOTtb48eP15ptv6qOPPtLrr7/e5Ocsy5LL5Wr0eFZWlrxer38rKyszUi8AADg3OPYZrKlTp%2Brjjz/Wr371K8XGxjYZaEyJjY3VxRdf7P/5HY/Ho%2BPHj6uqqipgFauyslJpaWmNnic8PFzh4eGtXi8AAHAmxwasLVu2aMuWLerfv3%2Bb/Z1fffWVysrKFBsbK0kaOHCgOnTooLy8PE2ePFmSVF5erl27dmnJkiVtVhcAADi3ODZgxcfH/8%2BrVkeOHNF//vMf//7%2B/ftVWlqqqKgoRUVFKTs7Wz/72c8UGxurTz/9VPfee6%2B6deumn/70p5Ikt9utW265RXPnzlXXrl0VFRWlefPmqW/fvv5vFQIAAJzOsc9gPfbYY8rKyvqfXupZVFSk/v37%2B1fB5syZo/79%2B%2Bu%2B%2B%2B5TSEiIPvjgA/3kJz9Rjx49NGXKFPXo0UPbtm1TREREQB0TJ07U5MmTNXToUHXq1EmvvfYa78ACAACNclmWZdldREO6d%2B%2Bumpoa1dXVKTIyUh06dAg4/v3XKThddXW13G63vF6vIiMjjZ570MJco%2BdrTUUPjrG7BABAO9Ka//42x7G3CBcvXmx3CQAAAGfFsQHrlltusbsEAACAs%2BLYZ7Ak6dNPP1V2drYyMzP9twQ3btyoPXv22FwZAABA4xwbsLZu3ao%2BffooPz9fL730ko4cOSJJeu%2B993TffffZXB0AAEDjHBuwfv3rXys7O1ubNm0KeHP7yJEjVVhYaGNlAAAATXNswNq5c6d%2B/vOf12uPjo7WoUOHbKgIAACgZRwbsC644IIGf1C5tLRUF154oQ0VAQAAtIxjA9b111%2BvBQsW6NChQ/43um/fvl3z5s3TjTfeaHN1AAAAjXNswFq0aJE8Ho9iY2N15MgR9e7dW2lpaRo8eLB%2B85vf2F0eAABAoxz7HqywsDC9%2BOKL%2Buijj/Tee%2B/p22%2B/1YABA3TppZfaXRoAAECTHBuwTunRo4d69OhhdxkAAAAt5tiAddtttzV5fPny5W1UCQAAwJlxbMAqLy8P2K%2Brq9Pu3btVU1OjK664wqaqAAAAmufYgPXaa6/Vaztx4oTuvPNO9erVy4aKAAAAWsax3yJsSGhoqObNm6eHHnrI7lIAAAAadU4FLEn65JNPVFdXZ3cZAAAAjXLsLcL58%2BcH7FuWpfLycm3YsEE33HCDTVUBAAA0z7EBa9u2bQH75513nrp3767Fixdr2rRpNlUFAADQPMcGrK1bt9pdAgAAwFk5557BAgAAcDrHrmANHjzY/yPPzXn33XdbuRoAAICWc2zAuvLKK/XMM8%2BoR48eSk1NlSQVFhZq7969uv322xUeHm5zhQAAAA1zbMD65ptvNH36dC1atCigfeHChfryyy/1pz/9yabKAAAAmubYZ7Beeukl3XTTTfXap06dqpdfftmGigAAAFrGsQErPDxcBQUF9doLCgq4PQgAABzNsbcIZ82apTvuuEMlJSVKSUmR9N0zWM8%2B%2B6zuvfdem6sDAABonGMD1sKFC5WYmKgnnnhCzz33nCSpV69eevbZZ5WRkWFzdQAAAI1zbMCSpIyMDMIUAAA45zj2GSxJqq6u1sqVK3XfffepqqpKkvT%2B%2B%2B%2BrvLzc5soAAAAa59gVrF27dumqq65Sp06dVFZWpqlTp6pLly566aWX9Pnnn2vVqlV2lwgAANAgx65g3XPPPcrIyNDHH3%2Bsjh07%2BtuvvfZabdmyxcbKAAAAmubYFawdO3Zo2bJl9X4u58ILL%2BQWIQAAcDTHrmCFhYXpyJEj9dr37dunbt262VARAABAyzg2YE2YMEG/%2B93vdOLECUmSy%2BXSF198oQULFmjSpEk2VwcAANA4xwasRx55RAcPHpTH49HRo0c1cuRI/ehHP1LHjh3r/T4hAACAkzj2GSy3262CggLl5eXpvffe07fffqsBAwZo9OjR9Z7LAgAAcBJHBqy6ujpdc801evrpp5Wenq709HS7SwIAAGgxR94i7NChg0pKSlipAgAA5yRHBixJuvHGG7VixQq7ywAAADhjjrxFeMrSpUv11ltvadCgQercuXPAsSVLlthUFQAAQNMcG7CKi4t12WWXSZJ27twZcIxbhwAAwMkcF7A%2B%2BeQTJSYmauvWrXaXAgAAcFYc9wxWUlKSDh065N%2B/7rrr9OWXX9pYEQAAwJlxXMCyLCtg/4033lBtba1N1QAAAJw5x90iBHB2Bi3MtbuEFit6cIzdJQBAq3LcCpbL5ar3EDsPtQMAgHOJ41awLMvS1KlTFR4eLkk6duyY7rjjjnqvaXjllVfsKA8AAKBZjgtYU6ZMCdi/8cYbbaoEAADg7DguYJl8e/uWLVv00EMPqbi4WOXl5Vq/fr0mTpzoP25Zlu6//34tX75cVVVVGjJkiJ566in16dPH36eqqkqzZs3Shg0bJEkTJkzQH/7wB11wwQXG6gQAAMHFcc9gmVRbW6t%2B/fpp6dKlDR5fsmSJHn30US1dulQ7duyQx%2BPR1VdfrZqaGn%2BfjIwMlZaWKjc3V7m5uSotLVVmZmZbXQIAADgHOW4Fy6SxY8dq7NixDR6zLEuPP/64Fi5cqEmTJkmSVq1apZiYGL3wwgu6/fbbtWfPHuXm5qqwsFBDhgyRJD377LNKTU3V3r171bNnzza7FgAAcO4I6hWspuzfv18VFRVKT0/3t4WHh2v48OEqKCiQJG3btk1ut9sfriQpJSVFbrfb36chPp9P1dXVARsAAGg/2m3AqqiokCTFxMQEtMfExPiPVVRUKDo6ut5no6Oj/X0akpOTI7fb7d8SEhIMVg4AAJyu3QasU05/x5ZlWQFtDb2D6/Q%2Bp8vKypLX6/VvZWVl5goGAACOF9TPYDXF4/FI%2Bm6VKjY21t9eWVnpX9XyeDwN/g7ioUOH6q18fV94eLj/PV4AAKD9abcrWImJifJ4PMrLy/O3HT9%2BXPn5%2BUpLS5Mkpaamyuv16t133/X32b59u7xer78PAADA6YJ6BevIkSP6z3/%2B49/fv3%2B/SktLFRUVpYsuukizZ8/WokWLlJSUpKSkJC1atEidOnVSRkaGJKlXr14aM2aMpk2bpmeeeUaSdNttt2ncuHF8gxAAADQqqANWUVGRrrzySv/%2BnDlzJH33tviVK1dq/vz5Onr0qO666y7/i0Y3btyoiIgI/2fWrFmjWbNm%2Bb9tOGHChEbfqwUAACAFecAaMWKELMtq9LjL5VJ2drays7Mb7RMVFaXnn3%2B%2BFaoDAADBqt0%2BgwUAANBaCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBh7T5gZWdny%2BVyBWwej8d/3LIsZWdnKy4uTueff75GjBih3bt321gxAABwunYfsCSpT58%2BKi8v928ffPCB/9iSJUv06KOPaunSpdqxY4c8Ho%2Buvvpq1dTU2FgxAABwMgKWpNDQUHk8Hv/WvXt3Sd%2BtXj3%2B%2BONauHChJk2apOTkZK1atUr//e9/9cILL9hcNQAAcCoClqR9%2B/YpLi5OiYmJuv766/XJJ59Ikvbv36%2BKigqlp6f7%2B4aHh2v48OEqKCiwq1wAAOBwoXYXYLchQ4boL3/5i3r06KEvv/xSDzzwgNLS0rR7925VVFRIkmJiYgI%2BExMTo88%2B%2B6zRc/p8Pvl8Pv9%2BdXV16xQPAAAcqd0HrLFjx/r/3LdvX6WmpuqSSy7RqlWrlJKSIklyuVwBn7Esq17b9%2BXk5Oj%2B%2B%2B9vnYIBAIDjcYvwNJ07d1bfvn21b98%2B/7cJT61knVJZWVlvVev7srKy5PV6/VtZWVmr1gwAAJyFgHUan8%2BnPXv2KDY2VomJifJ4PMrLy/MfP378uPLz85WWltboOcLDwxUZGRmwAQCA9qPd3yKcN2%2Bexo8fr4suukiVlZV64IEHVF1drSlTpsjlcmn27NlatGiRkpKSlJSUpEWLFqlTp07KyMiwu3QAAOBQ7T5gff755/rFL36hw4cPq3v37kpJSVFhYaEuvvhiSdL8%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%2BHChSopKdHll1%2BusWPH6sCBA3aXBgAAHIiA1QKPPvqobrnlFt16663q1auXHn/8cSUkJGjZsmV2lwYAAByI92A14/jx4youLtaCBQsC2tPT01VQUNDgZ3w%2Bn3w%2Bn3/f6/VKkqqrq43Xd9JXa/ycraU1rh//H3MBpzAXcEp7nwunzmlZlvFzN4eA1YzDhw/r5MmTiomJCWiPiYlRRUVFg5/JycnR/fffX689ISGhVWo8V7gfsbsCOAVzAacwF3BKa86Fmpoaud3u1vsLGkDAaiGXyxWwb1lWvbZTsrKyNGfOHP/%2Bt99%2Bq6%2B//lpdu3Zt9DNno7q6WgkJCSorK1NkZKSx8wYTxqhpjE/zGKPmMUZNY3ya11pjZFmWampqFBcXZ%2BycLUXAaka3bt0UEhJSb7WqsrKy3qrWKeHh4QoPDw9ou%2BCCC1qtxsjISP6jbQZj1DTGp3mMUfMYo6YxPs1rjTFq65WrU3jIvRlhYWEaOHCg8vLyAtrz8vKUlpZmU1UAAMDJWMFqgTlz5igzM1ODBg1Samqqli9frgMHDuiOO%2B6wuzQAAOBAIdnZ2dl2F%2BF0ycnJ6tq1qxYtWqSHH35YR48e1erVq9WvXz%2B7S1NISIhGjBih0FCycmMYo6YxPs1jjJrHGDWN8WlesI2Ry7Lju4sAAABBjGewAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBy6G2bNmi8ePHKy4uTi6XS6%2B%2B%2Bmqzn8nPz9fAgQPVsWNH/ehHP9If//jHNqjUPmc6Rps3b5bL5aq3/fvf/26jittWTk6OBg8erIiICEVHR2vixInau3dvs59bt26devfurfDwcPXu3Vvr169vg2rtcTZjtHLlygbn0bFjx9qo6ra1bNkyXXbZZf4XQKampurNN99s8jPtaQ5JZz5G7W0OnS4nJ0cul0uzZ89ust%2B5Po8IWA5VW1urfv36aenSpS3qv3//fl1zzTW6/PLLVVJSonvvvVezZs3SunXrWrlS%2B5zpGJ2yd%2B9elZeX%2B7ekpKRWqtBe%2Bfn5mj59ugoLC5WXl6cTJ04oPT1dtbWN//jrtm3bdN111ykzM1Pvv/%2B%2BMjMzNXnyZG3fvr0NK287ZzNG0ndvm/7%2BHCovL1fHjh3bqOq2FR8fr8WLF6uoqEhFRUUaOXKkfvKTn2j37t0N9m9vc0g68zGS2tcc%2Br4dO3Zo%2BfLluuyyy5rsFxTzyILjSbLWr1/fZJ/58%2Bdbl156aUDb7bffbqWkpLRmaY7RkjHatGkeWsp4AAAFeUlEQVSTJcmqqqpqo6qcpbKy0pJk5efnN9pn8uTJ1pgxYwLaRo8ebV1//fWtXZ4jtGSMVqxYYbnd7jasynm6dOli/elPf2rwWHufQ6c0NUbtdQ7V1NRYSUlJVl5enjV8%2BHDr7rvvbrRvMMwjVrCCxLZt25Senh7QNnr0aBUVFamurs6mqpypf//%2Bio2N1ahRo7Rp0ya7y2kzXq9XkhQVFdVon8bmUUFBQavW5hQtGSNJOnLkiC6%2B%2BGLFx8dr3LhxKikpaYvybHfy5EmtXbtWtbW1Sk1NbbBPe59DLRkjqX3OoenTp%2Bvaa6/VVVdd1WzfYJhHwfG6VKiioqLej0/HxMToxIkTOnz4sGJjY22qzDliY2O1fPlyDRw4UD6fT6tXr9aoUaO0efNmXXHFFXaX16osy9KcOXM0bNgwJScnN9qvsXl0%2Bo%2BdB6OWjtGll16qlStXqm/fvqqurtYTTzyhoUOH6v333w/a280ffPCBUlNTdezYMf3gBz/Q%2BvXr1bt37wb7ttc5dCZj1B7n0Nq1a1VcXKyioqIW9Q%2BGeUTACiIulytg3/q/l/Sf3t5e9ezZUz179vTvp6amqqysTA8//HDQB6wZM2Zo586deuedd5rt29A8ag9zqKVjlJKSopSUFP/%2B0KFDNWDAAP3hD3/Qk08%2B2dpl2qJnz54qLS3VN998o3Xr1mnKlCnKz89vNEC0xzl0JmPU3uZQWVmZ7r77bm3cuPGMnjM71%2BcRtwiDhMfjqZfsKysrFRoaqq5du9pUlfOlpKRo3759dpfRqmbOnKkNGzZo06ZNio%2BPb7JvY/Po9P8nGWzOZIxOd95552nw4MFBPY/CwsL04x//WIMGDVJOTo769eunJ554osG%2B7XUOnckYnS7Y51BxcbEqKys1cOBAhYaGKjQ0VPn5%2BXryyScVGhqqkydP1vtMMMwjAlaQSE1NVV5eXkDbxo0bNWjQIHXo0MGmqpyvpKQkaG%2BfWpalGTNm6JVXXtHbb7%2BtxMTEZj/T2DxKS0trrTJtdTZj1NA5SktLg3YeNcSyLPl8vgaPtbc51JimxqihvsE8h0aNGqUPPvhApaWl/m3QoEG64YYbVFpaqpCQkHqfCYp5ZM%2Bz9WhOTU2NVVJSYpWUlFiSrEcffdQqKSmxPvvsM8uyLGvBggVWZmamv/8nn3xiderUybrnnnusDz/80Przn/9sdejQwfrb3/5m1yW0ujMdo8cee8xav3699dFHH1m7du2yFixYYEmy1q1bZ9cltKo777zTcrvd1ubNm63y8nL/9t///tffJzMz01qwYIF//1//%2BpcVEhJiLV682NqzZ4%2B1ePFiKzQ01CosLLTjElrd2YxRdna2lZuba3388cdWSUmJddNNN1mhoaHW9u3b7biEVpeVlWVt2bLF2r9/v7Vz507r3nvvtc477zxr48aNlmUxhyzrzMeovc2hhpz%2BLcJgnEcELIc69UqB07cpU6ZYlmVZU6ZMsYYPHx7wmc2bN1v9%2B/e3wsLCrB/%2B8IfWsmXL2r7wNnSmY/T73//euuSSS6yOHTtaXbp0sYYNG2a9/vrr9hTfBhoaG0nWihUr/H2GDx/uH69TXn75Zatnz55Whw4drEsvvTRoA6hlnd0YzZ4927roooussLAwq3v37lZ6erpVUFDQ9sW3kZtvvtm6%2BOKL/dc7atQof3CwLOaQZZ35GLW3OdSQ0wNWMM4jl2X935PQAAAAMIJnsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGPb/APApTuA78UWQAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-512987182213163840\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">257</td>\n",
       "        <td class=\"number\">65.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">107</td>\n",
       "        <td class=\"number\">27.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:42%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">23</td>\n",
       "        <td class=\"number\">5.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-512987182213163840\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">257</td>\n",
       "        <td class=\"number\">65.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">107</td>\n",
       "        <td class=\"number\">27.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:42%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">23</td>\n",
       "        <td class=\"number\">5.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">257</td>\n",
       "        <td class=\"number\">65.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">107</td>\n",
       "        <td class=\"number\">27.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:42%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">23</td>\n",
       "        <td class=\"number\">5.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">8</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Correlations</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <img 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ZoaCibNm0CoEmTJnz88cd8%2Bumn3HPPPcybN485c%2BbQqFEjAKKjoxk2bBhjxozh3nvv5fDhw3z66ac4OztXWn/klKgQQggh7KsKR8O0Onr0qMXfv/76q8XfHTt2pGPHjhXW1el0DB8%2BnOHDh9utf46/BYUQQggh7nAywiaEEEII%2B7oNRtgcnQRsQgghhLAvCdhsJltQCCGEEMLByQibEEIIIexLRths9rcI2L777js%2B%2B%2BwzEhISyMnJoXXr1kybNo2GDRuydetWZs%2BeTVpaGm3atKFu3boUFhYyY8YMjEYjy5YtY8WKFaSlpREcHMzkyZPNE%2BEJIYQQQjiC2z5gS05OZsKECXz00UdERkaSnp7O2LFj%2Bfjjjxk4cCAvvfQSs2fP5sEHH%2BT777/n%2Beefp1evXgCsXLmSJUuWMH/%2BfJo0acLGjRt56qmn2L59O7Vq1bKq/ZSUFFJTUy2W%2BTVqhL9KmqnmzS0fraQlnaOLi%2BWjvWhux2BQb6y0jpa6VcHLS71OaU66a3LT3ZTqr9jS8o7861d1Jyqd96gS5z%2Bq9Ha05BIt%2B2inZmzaHVQPSK6ulo9WUv2Y2/KaFLumeZdQzUCn9fiqkpa40jnyMeY2oTMaqyQzot0UFBSQnJxMUFAQWVlZJCYm8vHHH5ORkUFQUBA5OTl88MEH5vITJkzA3d2dGTNm0L17d4YMGcITTzxhfv6JJ57g4YcftnoulTlz5pRPPDt6NOMmTKicFyiEEEJUgiNHbmHyd19f%2B6w3Pd0%2B63VAt/0Im7OzM1u2bGHVqlXodDqCg4PJysrCycmJ8%2BfP06JFC4vygYGBXLx4EYBz584xc%2BZM3nvvPfPzRUVFSqdEK0w826sXfP659S%2BieXNYuRIGDoT4eKurnVp70Po2rnJxgXr14Nw5KChQrm73dhr5XlZvzGCAatUgMxOKi62uZqyuMAp6lZak2LqDB5Tbwd0dWrSAw4chN9f6eoqjtOj1prZyc6GkxPp6WoZonZ21ZapOSVFvx9/fVM%2BembFtaUfLCJufH6SmKmUVz/Sqo9wtT0/IzlbbHQCqJR9Tq%2BDqCkFBcOYM5OdbXS2jdjOlZvR60yB3Vpb6a7qseDhydoY6deD8ebVdQuGwBVTdcVw4lts%2BYNu%2BfTvLly/nyy%2B/pEGDBgBMnTqVv/76i3r16pGUlGRRPikpCZerXzYBAQGMHz%2BeHj16mJ8/c%2BYMPgqnMytMPHvqlLYXEx8P18ysfCO2DG8XFFTN8LhyO6pHrmvr2lLfXrKytNfNzVWrr/qNVLae1rr2pvUbqbCwar7NtLSj9fRQUZFSW1W6O2g9oOTnK9XV%2BhEvKVGvqxBHWigsVKurEINbqKrjeKWQU6I2u%2B23YGZmJnq9Hjc3N4xGI7t27WLDhg0UFhbSv39//v3vf7N7926Ki4vZuXMn3377rbnugAEDmD9/PidOnABg9%2B7d9OjRg/3799%2BqlyOEEEIIUc5tP8L2%2BOOPc%2BDAAXr06IHBYKBx48YMHTqUFStWEBISwptvvsmUKVNIT08nPDyc%2B%2B67z5yMddiwYRiNRkaPHk1KSgq1a9fm9ddfp0uXLrf4VQkhhBB/IzLCZrPbPmBzcXHh3XffLbd8/PjxnDp1irvvvpsdO3aYl48bN44aNWoAYDAYGDFiBCNGjKiy/gohhBB3HAnYbPa33oLHjx9n6NChnDlzBoC9e/eye/duHnrooVvcMyGEEEII6932I2w30q1bN44fP86QIUO4cuUK9erVY%2BrUqYSFhd3qrgkhhBB3Dhlhs9nfOmADGDVqFKNGjbrV3RBCCCGE0OxvH7AJIYQQ4haTETabScAmhBBCCPuSgM1msgWFEEIIIRycjLDZwZHDarmL3NygEaZUUyqzVt/VQqfWMYDQUDh4kEb9wpSyKjBsmFo7DRrAlCk0%2BnwKJCRYXe3PF5eotYNp%2BzX1geMXfZS2Xyu9Yg46gwG8vdFlZihNmb5br35XsqcOwoCDunZkK/ysitCQZ14HGD081eoUKE4Br7u6rxqN6rm9FDKPAP/LDl6tmtrU9l4aNh6Y0lMpysxTyw6u14MnkO1dRykDgeovcpuSv9eqpVa%2BNOO5j4/SVP%2B%2BxxUnNvfwgJYt8U6Mg5wcpaq%2BqukePDyA1gRdOaTclpIiUzuNsrS008EePbo5GWGzmWxBIYQQQggHJyNsQgghhLAvGWGzmQRsQgghhLAvCdhsJltQCCGEEMLByQibEEIIIexLRthsJgGbEEIIIexLAjabyRYUQgghhHBwMsImhBBCCPuSETabyRYUQgghhHBwMsImhBBCCPuSETabOeQWDAkJISQkhJMnT5Z7bsmSJYSEhDBnzhxN6967dy8hISG2dlEIIYQQ1tLr7fPvDuKwr9bX15f169eXW75u3Tq8tOb8E0IIIYS4DTnsKdFevXqxceNGJk6ciP5qFP3HH39QUFBAixYtzOWMRiPLli1jxYoVpKWlERwczOTJk2nVqhUAKSkpvP766%2Bzbtw9fX1969Ohhrnv27Fm6dOnCjh07qF%2B/PgBz5sxh3759LFu2zKp%2BpqSkkJqaarEsO9sPPz/rE0K7uFg%2BWi00VLEC0Ly55aO1GjRQK1%2BnjuWjldzc1JoBcHW1fLRaaZJwa2nMjO2pllcdAHd3y0eHU5rMXbW8aj2osvepKql2rapekk3tOCl%2BnZSWV63n4aFWvvSgouXgopr83Za2qqIdeyakvxkH/jzeLhw2YOvUqRNbtmzhp59%2BIiIiAoA1a9YQHR3Nrl27zOVWrlzJkiVLmD9/Pk2aNGHjxo089dRTbN%2B%2BnVq1ajFx4kR8fX3ZtWsXmZmZjBo1qlL7GRsby9y5cy2WjRkzlvHjxymvq149xQoHDyq3YbZypfa6Kp59Vql4UxuaCgxUreGtrSHFEd6wMG3NANx1l/a6KpTjKOVfF1c5O6vX0dpWVY3Ea3hNnho2A1RdAK%2BpHU8/bY35%2BqqV99PYTpMm2upp0ayZY7azd699%2BiGqhMMGbE5OTvTq1Yv169cTERFBXl4e33zzDVu2bLEI2FasWMGzzz5L86sjRtHR0axZs4ZNmzYRFRXFL7/8wjfffIOXlxdeXl6MHTuWMWPGVFo/Y2JiiIyMtFiWne3HqVPWr8PFxRSsnTsHBQXW12vUT0Mk0Ly5KVgbOBDi462v17u3Wjt16piCtU8/hfPnra52fNAUtXYwjawFBkJiIuTnW1%2BvqX%2BGWkN6vSkIyMpS%2BuV98Lh6YOjubgrWjhyB3Fzr62kZdNXpwGhUrFOosKOWNuLsDIWF6o3l5amV1/g%2BaYpSSl%2BTouwCtYhNrzd1LzdXfdCnqtrxzEm9eaGynJxMwVp6OhQVWV8vJUWtHTc3U7B24oT6vqRlhK1ZMzh2TL0tR2ynMskIm80cNmAD6Nu3LzExMWRlZfGf//yHsLAw/K75dXXu3DlmzpzJe%2B%2B9Z15WVFREq1atuHDhAgB169Y1PxcUFFSpffT398ff3/L055Ej2j5DBQWK9X79Vb2RUvHxavXbtNHWzvnzkJBgdXFbjj35%2BYr1i4u1NVRSolQ3O1tbM2D64rSlvt2oBl1l66nWraL3qSppDbpKSuwbsNnUjkrQdW09lbpaT%2Bvl5anX1bqxtbTlyO1UBgnYbObQAVvz5s1p3Lgx27dvZ/PmzQwdOrRcmYCAAMaPH29xbdqZM2fw8fEhKysLgMTERJpcHQ5PTk42lzNcvTamsMwv5PT0dLu8FiGEEEIIrRw%2B5O3bty9Lly7l1KlTPPTQQ%2BWeHzBgAPPnz%2BfEiRMA7N69mx49erB//37q1q1LREQE06dP58qVK6Smplpcb1azZk2qV6/O1q1bMRqNxMXF8fXXX1fZaxNCCCHuCDKth80c/tX27NmThIQEevfujVMFdxMNGzaMPn36MHr0aEJDQ3n77bd5/fXX6dKlCwDvv/8%2B1apVo3PnzvTr14/777/fXNfFxYWpU6eyfft2wsLCmDFjBgMGDKiy1yaEEEIIYQ2HPCV69OhR8/99fX35888/LZ4vO%2BWGwWBgxIgRjBgxosJ1%2Bfj48OGHH1ose/75583/j4qKIioqqjK6LYQQQoiK3GGjYfbgkAGbEEIIIf5GJGCzmWxBIYQQQggHJyNsQgghhLAvGWGzmQRsQgghhLgjpaWl8dprr7Fv3z4MBgO9e/fmpZdeKneT44gRIzhw4IDFspycHGJiYnjrrbe4ePEiDzzwAB5lUqf5%2Bvry3XffVVpfJWATQgghhH056Ajb888/T%2B3atdm9ezcXL15k1KhRLF26tNyNjAsXLrT4e82aNcydO5exY8cCcOjQIerVq1epAdq1JGATQgghhH3ZKWBLSUkhNdUyLZqfn1%2B5DEQVSUhIYN%2B%2BfezatQt3d3cCAwMZPXo0s2bNuu7MEwAnT55k6tSpLFq0yNzOoUOHaNWqlW0v5iYkYLudDRumXqdBA9Nj795q6aaWLlVrJzQUpkyBTZuUUmAZ/rVErR3gasIKDIb//d8axd6KSacBA1DsqZYbVEvGntKMSsXF2jP%2B2FOxk6tyHQNQbFBP5G5wUdwApV8Mzs5qO0QF8zzaq16ZsyZK3NzUyhvQkprLgKebhnouNdTK63Smx%2BrV1dKVlclWY5WyBwjV98pZLeer%2BQ1yd//f67NHO65XP3/VqpmSUd/BYmNjLSbEBxg7dizjxo27ad1jx47h4%2BND7dq1zcuaNGlCUlISGRkZeHtXfKx/88036dOnD%2BHh4eZlhw4d4sqVK/Ts2ZOLFy/SunVrXnrpJZo2barxlZUnAZsQQggh7MtOI2wxMTFERkZaLLs25/j1ZGdn4%2B7ubrGs9O%2BcnJwKA7ZffvmF33//3SJ/OYC3tzdNmzZl5MiRuLi48NFHH/HUU0%2Bxbds2qlWrpvKSrksCNiGEEELclvz9/a06/VkRDw8PcnNzLZaV/u3p6VlhndjYWB599NFyQeH7779v8ff//d//sXbtWn755Rc6d%2B6sqX/XcsyrAIUQQgjx9%2BGAuUSbNWvG5cuXuXjxonnZiRMnCAgIqHBUrKioiB07dtC7d2%2BL5VlZWcycOZNz586ZlxUXF1NUVISb6nUMNyABmxBCCCHsywEDtoYNG9KuXTveeecdsrKySExMZN68eURHR1dY/ujRo%2BTn5xMWFmax3MvLi59%2B%2BomZM2eSmZlJdnY2U6dOpX79%2BhbXudlKAjYhhBBC3JFmz55NUVERXbp0YcCAAXTs2JHRo0cDEBoayqZNm8xlExMTqV69Oq6u5W%2B6mjdvHiUlJXTt2pWOHTuSmprKggULcFa9oeQG5Bo2IYQQQtiXg87DVqtWLWbPnl3hc79eM8PBI488wiOPPFJh2Xr16pW7W7WyOeYWFEIIIYQQZjLCJoQQQgj7ctARttuJBGxCCCGEsC8J2Gzm8AFbZGQkqamp5RKxhoaGsnjxYqV1rVu3jrlz59o115cQQgghRGVz%2BIANTGkg%2Bvbte6u7IYQQQggtZITNZrf1FiwoKOCjjz6iS5cutG/fnpEjR5KQkGB%2B/sSJEwwePJjQ0FB69erF4cOHzc/t3buXkJAQi/W9/PLLvPzyy1XWfyGEEEIIa9wWI2zX8%2BGHH7Jnzx6WLl2Kv78/CxYsYPjw4Wzbtg29Xs%2Bzzz7Lgw8%2ByMKFCzlz5gwjR45EX8lRfkpKCqmpqRbLsrP98POzPlVGae5e5Ry%2BpYncVdSpY/lordBQtfLNm1s%2BWknLpNCat18V8fJSr1OaHFxrkvC/FdXPbGnSbZ1OftVXJZVk52XLq9a7JvfjTZXOmVXB3Fk3pZosXmtbqu1oPejl56uVr0zyWbSZzmg0Gm91J24kMjKStLS0cpPP7dq1iwceeIDZs2fTsWNHAIxGIw899BCvvPIKvr6%2BPPXUUxw4cMCcGuLzzz/n888/57vvvmPv3r0MGTKEo0ePmtdZOro2Y8YMq/s3Z86ccnOvjBkzlvHjx2l6vUIIIYRdHD0K15xZqjKPP26f9a5fb5/1OqDbYoTtjTfeKHcNW1paGjk5OUyYMMFi1KywsJBz585RUFCAr6%2BvRR6voKCgSu9bTEwMkZGRFsuys/04dcr6dbi4QL16cO4cFBRYX6/R51OsL1yqTh149ln49FM4f976emVme7ZK8%2BawciUMHAjx8VZXO7X2oFo7aN9%2BWnYHgwGKi9XqHFR/SXh4QMuWEBcHOTnW19OSBUWnA9WfbSUl6u1o2XYAhoLcmxcqS6czDdXm5am9MC3Du1o2HlBcojiqhLbtZ0DLBtf4RqnW0enA2RkKC9W24cmTau24ukKjRnDqlPoIk5YRtsBASExUa0vLCFvdupCUpHbQE7e12yJgq4ivry8i66mhAAAgAElEQVSurq4sXryYtm3bmpefPHmS2rVrc%2BTIES5dukR2djaenp4AJCcnm8sZDAbAdB2cy9Vh5fT0dHx9fZX64e/vj7%2B/5enPI0dM3xWqCgoU65W5Xk/Z%2BfNq9a%2BZ8dlq8fFKdbVst1LK26%2BKZGVpr5uTY1v9vwXV6LD0B5zRqC2yFNpoPVljNKrVzVUM4Evl56vX1ZpWKD9f7WCktZ2Cglt7mlOFnBK12W27BfV6PdHR0bz//vskJydTUlLC%2BvXr6dmzJwkJCYSGhtKoUSOmTZtGbm4uCQkJFtOABAUF4eTkxNatWwH46aef2LNnz616OUIIIYQQ13XbBmwAL730Em3atGHgwIGEh4ezdOlSZs%2BeTYsWLTAYDHz22WekpKRw//33M2LECLp06WKu6%2B/vz%2BTJk5k3bx5hYWEsX75cpg4RQggh7EGvt8%2B/O4jDnxK90SS3rq6uTJo0iUmTJlX4fL169Vi0aJHFsrLTdjz55JM8%2BeSTldNRIYQQQlTsDguu7EG2oBBCCCGEg3P4ETYhhBBC3OZkhM1mErAJIYQQwr4kYLOZbEEhhBBCCAcnI2xCCCGEsC8ZYbOZbEEhhBBCCAfn8LlEb0tpaWrlDQbw8YHLl5XSu/x5vqZix0zZd5o2hePH1SbivpoYQqmd0mwwKu3c1UI9ZQ%2Bhoab8T2FhSlkVziep7fpOTuDnB6mpUFRkfb06%2BgtK7Zgbq1nTtC8pNFZYo7ZyU6XZgexNazvOJYozuet0ptQ9BQVqM%2BifPavWjovL/9IQ2Ts9kNa2GjdWb8vB021dvKhWXuNHCTAdklW4ukLDhnD6tFoCAg8PtXacnSEgAJKT1T9TgYFq5SvN0KH2We/nn9tnvQ5ITokKIYQQwr7klKjNZAsKIYQQQjg4GWETQgghhH3JCJvNZAsKIYQQQjg4GWETQgghhH3JCJvNJGATQgghhH1JwGYz2YJCCCGEEA5ORtiEEEIIYV8ywmYzpS2Yn59PcnKyvfpileLiYhITE29pH4QQQgghqpJSwDZw4EB%2B%2Bukne/WlQmfPniUkJISzV2chnzhxIhs2bAAgKSmJ0NBQkpKSqrRPQgghhFCg19vn3x1E6ZRoenq6vfqhqQ9169blV4VUREIIIYS4Be6w4MoerN6Cw4cPJykpiTfeeIOePXvy0EMP8eKLLxIeHs5nn31GVlYWr776Kg8//DBt27alY8eOfPLJJwCsWbOGBx98kJKSEvP6Vq5cSY8ePQDIysrirbfe4qGHHuK%2B%2B%2B5j4sSJXKwgYdwrr7zCL7/8wqeffspzzz1XbvQtJCSE2NhYoqKiaNOmDc899xx//vknTzzxBKGhofTr14%2BEhATz%2BrZu3UqvXr1o164dffv25ccff9S2FYUQQggh7MjqEbbFixcTGRnJ2LFjqVevHkOGDKFx48bMmDGD/Px83nvvPc6ePcuaNWuoVq0a3377LePHj%2BfRRx%2Ble/fuvPPOO/z888888MADAKxfv57o6GgAJk%2BeTHZ2NuvWrcPNzY0ZM2YwduxYvvzyS4s%2BvP3225w5c4b27dszbtw4c6BW1ubNm4mNjaWgoIAePXowevRolixZQp06dXj66af55JNPmD59Ojt37uSNN95g/vz5hIWFsWvXLsaNG8fq1atp1qyZ1RswJSWF1NRUi2V%2BLi74%2B/lZvQ5zZnXFDOtubkrFAVNy4rKP1lJN/u7iYvlotdBQxQpA8%2BaWj1ZyUrzlprS8aj30Gu7t0bhP/C3pFJOKl5ZXrae6szo7Wz7aU1W25eBUP3%2B2fJRUj5Naj3uqb6vWY5FqovhKJSNsNrPpLtHo6GicnZ1xdnZm3LhxGAwGvLy8SE5OxvXqnp6SkkKDBg3o2bMnGzZs4IEHHuDEiRMcOXKETz/9lLS0NL755hu2b99OzZo1AVMAFx4eTlxcHD4%2BPkp9GjRokLlOs2bNaNGiBU2aNAHg3nvv5cCBAwAsX76cf/zjH9xzzz0AdO7cmcjISFatWsVrr71mdXuxsbHMnTvXYtnYMWMYN368Ur8BqFZNqXhTtU1jITBQe10V9eopVjh4UHtjK1cqFVcIqS34%2BqrWqKmxJUBx/9f6dV5VcYC2dlSjfo2Naf1QBARoq%2BfIbakGu2j/baFar6bGj5PiR8mmturW1VZPVa1aauXlfr3bm00Bm7%2B/v/n/aWlpvP322xw%2BfJj69evTqlUrAPNp0P79%2BzNkyBDzSFpkZCQ1atTgjz/%2BAGDAgAEW6zYYDJw9e1Y5YCtb3mAwUL16dfPfer0eo9EIwLlz59i3b5/FKF5xcTH33nuvUnsxMTFERkZaLPNzcYHLl61ficFgCtYyM6G42Opqxy%2BqH4FcXU3fS4mJkJ%2Bv1kUVLi6mYO3cOSgosL5eo35hag2BaWRt5UoYOBDi462ulvqNWnDo5GQK1tLToajI%2Bnp%2B%2BjSldgDTBvfxMe1HCvtEobf6N4yzc9X88tbajrNRYQcCU7BR2tjVz7tVLlxQ7JizKYBKTrb/BtTaVv366m3pdGrb7ariEm1BnsLuDagdWkvb0PBRAkyHZBUuLqZgLSlJ7binerbEyckUrF28qHYsuqVkhM1mNgVsujK/wiZMmEBkZCSLFi3CycmJ9PR0Vq9ebX6%2BdevWNGjQgH//%2B99s3ryZadOmAVC7dm0Atm/fjl%2BZ04jHjx8nMDCw3OlGlT7dSEBAAH369OGZZ54xL0tKSsJN8ZPj7%2B9vEbgCkJamfmQAUx2Fenl56k2Uys9Xq6/113NBgWI/bbmJJD5eqb7WA11RkWJdvQ1H1OLi2%2BiIbCcaggdzPZW6Kt%2BwZRUWaq/ryG05KK0fBy0fJZUftWUVFNj3B3GpoqJbfJpThQRsNlPagi4uLmRe5ydHZmYmbm5uGAwGLl26ZA7ICsvsTf3792f27Nno9XoiIiIAU8DWqVMn3n77bdLT0yksLGT%2B/PlER0eTkZGh1AcVAwYM4IsvvjCP8B06dIi%2BffuyZcsWm9cthBBCCFGZlAK26OhoPvzwQ/75z3%2BWe2769Ols27aNsLAw%2BvbtS%2B3atWnRogV//fWXuUyvXr1IS0ujb9%2B%2B6MtE2%2B%2B%2B%2By7e3t706dOHe%2B%2B9l507d7Jw4UKLEbdSffr0Ye3atQwcOFCl6%2BU88sgjvPDCC0yePJmwsDAmTJjAsGHDGDx4sE3rFUIIIcQ1ZB42m%2BmMRq3nG8R1pSles6TxIos/z6tfr%2BTmBk2bwvHj9j0l6uYGjRrBqVNq7dzVQv06GEJDTTcrhIUpnRI9n6S26zs5gZ8fpKaqnVqpo1e8Nqq0sZo1TfuSQmOFNWorN%2BXw17CVKJ6X0ulMFxMVFKidEq3grvMbcnH53wWh9j5NqbWtxo3V23Lwa9gqmPHphjR%2BlAD16%2BVcXaFhQzh9Wu2UqIeHWju2XD5ZVTeclVPBQE%2BlmDXLPut1QJJLVAghhBD2dYeNhtmDBGxCCCGEsC8J2GwmW1AIIYQQwsHJCJsQQggh7EtG2GwmW1AIIYQQd6S0tDRGjx5NeHg4HTp04O2336boOnenjBgxgtatWxMaGmr%2Bt2vXLsA08f7MmTO5//77CQ0NZdSoUaSkpFRqXyVgE0IIIYR9Oei0Hs8//zweHh7s3r2bNWvW8PPPP7N06dIKy/75558sWrSIX3/91fzvwQcfBGD%2B/Pn897//Ze3atezevRs3NzdeffVVm/tXlpwSFUIIIYR92emUaEpKSrmMSH5%2BfuUzEFUgISGBffv2sWvXLtzd3QkMDGT06NHMmjWLESNGWJRNTEzkypUrtGjRosJ1ffXVV0yaNIk6deoA8MorrxAREUFiYiKBlTSXigRsdmCsoT4/mg4wVlfLDdpKn67cjmlCNW%2Ba%2BmcoTYBU7K2c8RyAoCC18qpzo8HV%2BdEw5QZVmh%2BtruK8UVfne/OLUpvv7dAf6q/JzQ2a1YRjl2oqzWPX2itbrSG9HpzdcS7Khat5f61xLMlTqRlXV9O%2BcP68erqfWrVclcobDODtAhl5LkpzfJ283ESpHXd3aAEczgwkN1epKhUkcbkhLy%2B4JxD2JweSlWV9vbsV0w2bp4S8olOeH031%2B9hgAG9vyM5Wm4ut9qUjag25uUHNRtTMUJwUEqjt4qLWlsEFCKShIRGcFObLc1KciM3gBPgRYEgFo2qurjqK5R1bbGwsc%2BfOtVg2duxYxo0bd9O6x44dw8fHx5wiE6BJkyYkJSWRkZGBt7e3efmhQ4fw9PRk4sSJHDp0iFq1ajFs2DCio6PJzMwkOTmZ4OBgc/latWpRvXp1jh49KgGbEEIIIW4Tdhphi4mJITIy0mJZRVmSKpKdnY27u7vFstK/c3JyLAK2goIC2rZty8SJE2nWrBl79%2B5l3LhxeHp6EhoaCoDHNTMgu7m5kZ2t%2BCP6BiRgE0IIIcRtyd/f36rTnxXx8PAg95rh8dK/PT0tzyL06dOHPn36mP%2BOiIigT58%2BbN%2B%2Bnfvvv9%2Bibqm8vLxy67GF3HQghBBCCPtywJsOmjVrxuXLl7lYJt/ZiRMnCAgIoFq1ahZl16xZw/bt2y2WFRQU4OrqSvXq1alduzbHjx83P5eamsrly5ctTpPaSgI2IYQQQtiXAwZsDRs2pF27drzzzjtkZWWRmJjIvHnziI6OLlc2KyuLqVOncvjwYUpKSvjhhx/YsmULMTExAPTt25f58%2BeTmJhIVlYW77zzDu3btydI9ULuG5BTokIIIYS4I82ePZu33nqLLl26oNfr6dOnD6NHjwYgNDSUN998k969ezN06FBycnIYO3YsaWlpBAYGMnPmTMLDwwEYM2YMRUVFPPnkk2RnZ9OhQwf%2B3//7f5XaVwnYhBBCCGFfDprpoFatWsyePbvC534tMxuATqdj9OjR5mDuWs7OzkyaNIlJkybZpZ8gp0SFEEIIIRyejLAJIYQQwr4cdITtdlJpWzAzM5NLly5V1upuKCEhoUraEUIIIUQlcMCbDm43lfZqu3XrxrFjxzTXDwkJYe/evTctN3PmTObPn2/%2BOzQ0lF9%2B%2BUVzu0IIIYQQjq7STommp2tIk1QJ7fyqkCJICCGEELfAHTYaZg/KW3DOnDk89NBDtG/fnn79%2BrFjxw6ioqIAGDlyJAsWLGDdunXlUkUMHjyYOXPmAFBYWMj06dPp0KED9957LwsXLjSX27p1K%2B3atSO/TMLBr7/%2Bms6dO/Pxxx%2BzefNmNm/eTO/evQHLkbnIyEiWLFlC7969adOmDf/4xz%2BIi4tj5MiRhIaG0r17d/744w/zen/66Seio6MJDw%2BnR48ebNq0SXVzCCGEEOJm5JSozZRG2Pbs2UNsbCzr1q3Dz8%2BP2NhYXnnlFXbv3k2rVq1YsGABHTp0YN26dTdcz7x58/jhhx9Ys2YNNWvWZMqUKebnunXrxptvvsmOHTvo3r07ABs2bODxxx9nzJgxJCYmAjBjxowK1/3VV1%2BxePFivLy86NevH4MHD2bRokW0bNmSf/3rX7z33nt88cUXxMfHM2rUKGbNmkWXLl34/fffGT16NL6%2BvnTs2NHqbZKSkkJqaqrFslq1/DSnylBiMKjXKd3BHXRHd9Iw5ltaR7nu1fxvVmve3PLRSm5uas2AKVl62Uerqb6vOt3/HhXqqvbL2dnyUYXqbq51F78mpeBNlb6vWt7fkhK18qUpCj1Uc4QrbrvS8rYcWlTLKx%2BKVDd4aQJ31UTuoH5Q0bqjq7aj9aBXpJooXjgSpXfb1dWVK1eusHr1ajp37kz//v2JiYlBV3rQt9LGjRt57rnnzBnsX331VfPolouLCz179mTjxo10796dtLQ0fvzxR1555RWr1t2vXz8CAgIAuPvuu8nKyjInZo2IiDBf/7Zq1Sq6dOnCww8/DEBYWBgDBgxgxYoVSgFbbGwsc%2BfOtVg2ZsxYxo8fZ/U6SiluRiiTmFaZl5dScQ3Hb1M9xYpW5uytkK%2BvYoWDB7U1tHKlUvFm2loBQH2SbMWoo5Til6DWybvr1NFWTwvFXZwWLbS107ixtnpatGxZNe1ck5XHrlTfJ7wbaWuoXj1t9bS4%2Bh1kd6oHvfPn7dMPazjoIMHtRClgCw0NZc6cOSxbtoyFCxfi5ubG4MGDGTVqlFKjKSkp1Clz5Pb29qZ69ermv/v27UtMTAxpaWls2rSJsLAwc3B3Mz4%2BPub/GwwGi/Xq9XqMRiMA586dY8%2BePeZZigGKi4uV00jExMSUO/1bq5YfV5uxmk6Hep3MDLUKYPrQeHlBVpbSz/xiT/Xg0GCA4mK1OlpuNHZyMh230tPVfkD6RYWpNdS8uSlYGzgQ4uOtrnYsVj0wdHU1BUVnzkCZqwNuqln93JsXKkunMwVreXlKO%2BCZVLXA0NnZFKydPw%2BFhWpdLPORtorGXZyzZ9XacXMzBWsnT5o2n4rsbLXyHh6mYC0uDnJyrK/XTPHXgsFgCtYyM9U/u1pG2LS8T95pp9QacnExBWvnzkFBgVpdLSNsAQGQnKy2o6uOGmo96InbmtLemJSURM2aNVm0aBEFBQX8/PPPjB07lpbX/OzT6/UUXPPBKHuzQEBAgPnUJkBOTg6ZmZnmv1u1akXTpk355ptv2Lp1K4MHD7a6j9aO9gUEBPD444/z1ltvmZelpKSYAzpr%2Bfv7lzv9qRp4aaZ6RC2rpMS2%2BnZiy7GnqEixvtYbVuLjleqqfpmXlZ%2BvWF/1XFvpt6zRqFRXJYgsq7BQva7W3VR1F89VjHVL5eWp183K0tZWTo5aXa3brrhYva7W457yoUjrB6qgQL2ultOoYNrRVYJDLdeCgIaD3i0kI2w2U9qChw4dYsSIEcTHx%2BPi4kLNmjUB8PX1xcXFxRx0NWnShIsXL7Jnzx6MRiMbN27kxIkT5vX079%2BfhQsXcuLECfLz85kxYwbF13xi%2B/bty%2BrVqzl9%2BrT5tCVg0Y4toqOj2bJlCz/%2B%2BCMlJSWcPn2aQYMGsXjxYpvXLYQQQogy5KYDmymF9VFRUZw%2BfZpRo0aRnp5OzZo1mTx5Mm3atCEmJoYXX3yRYcOGMXHiREaNGsXLL79MdnY2Xbt2Nd9JCqa7SXNzcxk0aBBFRUUMGDDA4lQmQK9evZg1axZ9%2B/bFvczVwN27d2fixIl06tSJH374QfMLb9OmDR988AEffPABEyZMwN3dnZ49e/LCCy9oXqcQQgghhD3ojKrnAKtIcXExERERfPLJJ7Rp0%2BZWd0eJli2q6Rq2yxrmvjMYTDcrZGQonYco9la9ol/bNWwpKcrN4ORkulkhNVXt7ECduop3eYSGmm5UCAtTOiV66A/1HcLNzXT90bFjamdxWjdWvDhKrzfdHpmbq3RK9FiSp1IzWq/JA6hVS628xl2ckyfV2nF3N92ocPiw%2BinRDMXLT7284J57YP9%2BtVOid9%2Bt1o7BYLpm8PJl%2B1/DpvV98k0%2BotaQmxs0agSnTtn/lKiLCwQGQmKi2ilR1dt/tR70oGrv/CmrzIT3lUrxGvrbmUPmEj127Bjbt28nICDgtgvWhBBCCCEqm0MGbM8%2B%2BywAs2fPvsU9EUIIIYTN7rDrzezBIQO277777lZ3QQghhBCVRQI2m8kWFEIIIYRwcA45wiaEEEKIvxEZYbOZbEEhhBBCCAcnI2x2oNu1U62Clxe0a4fu4AGle/Z36x9S7Bl4eppmpTh43FspPY7qneOl0xAcPKg2DUHnFhfUGgLQOwE18dOngd76jqpOt%2BHmZsoLeiz2oNpUG3erJonFPIVIsxi1KUSyMtVek94IHkCO0Z0SharNvBXfJyfTexTkmQauijtThoapGLzr4J19XmlqhXY%2Biv1ycQECaVEtEVwVUx55K2akcHUFgrin9hnwUZgXRa84J4reAHjjo88Ao70zoZja8iYDsL6t5QfuUmqlRg3o3gi2HWmkKfWdcluBsO1QoFJbqlM61agBPXrA1n1%2Byq9JIXFQ5ZIRNptJwCaEEEII%2B5KAzWayBYUQQgghHJyMsAkhhBDCvmSEzWayBYUQQgghHJyMsAkhhBDCvmSEzWYSsAkhhBDCviRgs5lsQSGEEEIIBycjbEIIIYSwLxlhs5lsQSGEEEIIB1elAdu2bdu47777aNeuHd9///11y23atIkePXoAsHfvXkJCQqqqi0IIIYSobHq9ff7dQar0lOhXX31Fjx49ePXVV29Yrnfv3vTu3buKeiWEEEIIu7rDgit7qLItGB0dzZ49e1i1ahVdu3blu%2B%2B%2B44knnuC%2B%2B%2B6jTZs2DBo0iNOnTwOwbt06IiMjy63j7NmzhISEcPbsWfOyOXPmMPhqcrR169bRt29fhg8fTnh4OJs3b6agoICPPvqILl260L59e0aOHElCQoK5/sqVK%2BnatSvh4eH06tWLr776yr4bQgghhBBCUZWNsK1Zs4bBgwfTvn17%2BvfvT7du3fjoo4%2BIjIwkPT2dsWPH8vHHHzNr1iyb2omLi2PGjBl88sknlJSU8OGHH7Jnzx6WLl2Kv78/CxYsYPjw4Wzbto2UlBSmT5/Oxo0bady4Mbt372bMmDE89NBD%2BPv7W9VeSkoKqampFsv88vLwr6WQdNnd3fLRSp4acoprbIpixTzQHh6Wj1Zz0rBLGgyWj1Zyc1NrxtXV8tFqoaGKFYDmzS0fraT6I1an%2B9%2BjUl3V90njewRcTbKuoLRvqn1U3XjOzpaPKlSzfWttS3V7l26DqhgN0dhWjRpqzXh7Wz7ak9a2VHcHre2oJoqvVDLCZrNbcpdojRo12Lp1K0FBQWRlZZGcnIyvry8XLlywed3Ozs489thj6PV6jEYjq1atYvbs2QQGBgIwZswYVq9ezQ8//EDr1q3NZaKiorjvvvv47bff0CvsWLGxscydO9di2dgxYxgXFaXe%2BRYtlIqHqbdgdtddNlRW0LKlao2a2hvz8VEq3kxjU0FBihUOHtTWEMDKlUrFVePjUqoBPB4aN57ie2QTP7%2BqaScgoGraAahTp2ra8fKqmnY0tNW9u7ZmIiK01XPktjp2VCu/bJl9%2BiGqxi0J2JydndmyZQurVq1Cp9MRHBxMVlYWTlpGV67h5%2BdnDrguXbpETk4OEyZMsAjCCgsLOXfuHFFRUSxbtoyFCxfy3HPPUVxcTN%2B%2BffnnP/%2BJq5XDKDExMeVO3/qdPQsHDljfaXd3U7B2%2BDDk5lpd7aCunfVtlGnqrrvgyBGlpjSNsLVsCXFxkJNjfb17GqepNQSmUQQfH7h8Wamjxy6pBR2urqZg7cwZyM%2B3vl6zGA2hdfPmpmBt4ECIj7e6Ws6PasGhTmfaJ3Jz1X7le%2BQqvk8a3yMACgrUyjs5mYK11FQoKrK%2BnkpZMI12BQRAcjIUFqrV1TLCVqcOnD%2Bv1pZqgKzXmwKorCwoKVGrq0pjW9t%2BVBtW8vY2BVA//ggZGaqdVKO1LS0jbB07wu7d9n9NlUZG2Gx2SwK27du3s3z5cr788ksaNGgAwNSpU/nrr79uWM9wdXi/sMwBKz093aKMTve/84S%2Bvr64urqyePFi2rZta15%2B8uRJateuTVpaGsXFxXz88ceUlJRw8OBBxo8fT6NGjXjyySetei3%2B/v7lT59evGg6CKnKzVWql23D/p%2BbC9nZ1pdX/S4rlZOjuCm0NgSmQEChfl6etmby8xXr/vqrtobAFKwp1Ff9ji09hhqNinW1vk%2BK7xGgHrCVKipSq6v1NRUWqvdRazBUWKj2a0E1OC5VUqK9rp3b0npaLyOj6k4JqralGrBpbeeWkoDNZrdkC2ZmZqLX63Fzc8NoNLJr1y42bNhgEYhVpGbNmlSvXp2tW7diNBqJi4vj66%2B/vm55vV5PdHQ077//PsnJyZSUlLB%2B/Xp69uxJQkICSUlJDB8%2BnJ9//hm9Xk/t2rUBU6AnhBBCCOEobskI2%2BOPP86BAwfo0aMHBoOBxo0bM3ToUFasWEHBDX6puri4MHXqVGbPns2iRYto1aoVAwYM4MANTj%2B%2B9NJLzJkzh4EDB3L58mUCAwOZPXs2La5eL/b6668zZcoUUlJSqFatGgMHDuTRRx%2Bt9NcshBBC3LFkhM1mVRqwLStzxeO7775b7vnx48cD0LdvX/r27QtAhw4dOHr0qLlMVFQUUde5oL9svVKurq5MmjSJSZMmVVgnOjqa6OhotRcihBBCCFGFJJeoEEIIIexLRthsJgGbEEIIIexLAjabyRYUQgghhHBwMsImhBBCCPuSETabScAmhBBCiDtSWloar732Gvv27cNgMNC7d29eeumlCify//LLL1m6dCkpKSn4%2B/szZMgQ85ytJSUltGvXDqPRaDEf7H//%2B188lHM0VkwCNiGEEELYl4OOsD3//PPUrl2b3bt3c/HiRUaNGsXSpUsZMWKERbn//Oc/fPDBByxYsIA2bdrw22%2B/8cwzz1CrVi2ioqI4fvw4hYWFHDx4EBfV/MdWkoBNCCGEEPZlp4AtJSWF1NRUi2V%2Bfn7lMxBVICEhgX379rFr1y7c3d0JDAxk9OjRzJo1q1zAduHCBUaOHGnOmhQaGkqHDh3Yv38/UVFRHDp0iJCQELsFayABm32EKeaOLN2RmzdXSlkTYUN%2B5tBQ7XVVhIerlS8sqq2pHWeg0FstN2hrL4XcXHD1fXKnWf1cpfcpK1M974xeb0rknvPjQaUsRl7VdDcvVFZoKBw8iEdEmFoKLYX8poApEWvNmpCZqZZaCcCKA6%2BFqyns8PQENzerq6WVqGU4MRjAB7hcLVA5i5NKfl24mrYUSHYJolDhLQ7MO6/WUOlpoPx85VRdWdXUEtOb93Enb0oUvssHxSjmbQXAme7d1OsV4qyhLejWTa28c16mWgW9HvCkR6dsDWnOqimWd2yxsbHMnTvXYtnYsWMZN27cTeseO3YMHx8fc5YjgCZNmpCUlERGRgbe3v/LW3ttusq0tDT279/P//3f/wFw6NAh8vPz6devH%2BfOnaNJkya8%2BOKLhKnGAzcgAZsQQggh7MtOI2wxMTFERkZaLPPz87OqbnZ2Nu7u7hbLSv/OycmxCM3HGY4AACAASURBVNjKSk1N5dlnn6VVq1b07NkTADc3N%2B6%2B%2B24mTJhA9erVWbFiBU8//TSbNm0iMDBQ9WVVSAI2IYQQQtyW/P39rTr9WREPDw9yc3MtlpX%2B7enpWWGd3377jQkTJhAeHs706dPNNye8/PLLFuWefvpp1q1bx86dOxk0aJCm/l3LMa8CFEIIIcTfh15vn382aNasGZcvX%2BbixYvmZSdOnCAgIIBq1cqfOl6zZg3Dhg1j6NChvP/%2B%2BxbXq3344YccPnzYonxBQQGurq429bEsCdiEEEIIYV8OGLA1bNiQdu3a8c4775CVlUViYiLz5s2rML/4N998w5QpU5gzZw7Dhw8v9/xff/3F22%2B/TWpqKgUFBcydO5esrCy6qV7QeAMSsAkhhBDijjR79myKioro0qULAwYMoGPHjowePRow3Qm6adMmAObOnUtxcTHjx48nNDTU/O/1118HYPr06QQFBfHYY4/RoUMH9u3bx5IlS/Dx8am0vso1bEIIIYSwLwedh61WrVrMnj27wud%2BLXPn/ObNm2%2B4Hh8fH6ZPn16pfbuWBGxCCCGEsC8HDdhuJ7IFhRBCCCEcnIywCSGEEMK%2BZITNZg6xBbdt28Z9991Hu3bt%2BP77729ZP%2BbMmcPgwYNvWftCCCGEEBVxiBG2r776ih49evDqq6/e6q4IIYQQorLJCJvNbnnAFh0dTVxcHPv37%2BeHH35g8uTJfPbZZyQkJJCTk0Pr1q2ZNm0aDRs2ZN26daxZs4Y2bdqwdu1a9Ho9Y8aMwdXVlfnz55ORkUGPHj146623AIiMjCQiIoIdO3bg5%2BfHunXrOHLkCDNmzCA%2BPh5fX18GDhzI0KFD0ekUczAKIYQQwjoSsNnslgdsa9asYfDgwbRv357%2B/fvTrVs3PvroIyIjI0lPT2fs2LF8/PHHzJo1C4ADBw7w8MMPs2fPHlatWsW0adN49NFH2bZtG8ePHycmJoZevXpxzz33APDHH3%2Bwfft2wJT/a%2BjQoUycOJHFixeTkJDA6NGjcXNz44knntDU/5SUFFJTUy2W%2BXl4qKXKKN2RZYeuWqrbuzSo1%2BmU6urVc79rbcqUzF1F8%2BaWj9ZSnb27dEbwMjODW600mbu1NH6eDIq/2Uq7pdo9MCVzV1Gak91J9YhtUKyguaEq%2Bzj9PaluAK3fGcqJ4oUjueUBW1k1atRg69atBAUFkZWVRXJyMr6%2Bvly4cMFcxsPDwzwiFhERQXFxMU8//TTu7u60bt0af39/zp07Zw7YoqKizAlcY2NjadKkCU8%2B%2BSQATZs25emnn2b58uWaA7bY2Fjmzp1rsWzsmDGMGz9efWXXJKG9GVvGBKtqQFG1HdUvMpvqOqttbzM3N6XiHtpaAZR3CTh4UFtDK1dqq6eqbt2qaQfAy0upuNbpLSvIYGM3tWqp1rAuCXY5vr7KVbTu58r7OBoPEhoOLloPR%2BrHoorzVt6U6sbLzNTWTmW446Ny2zlUwObs7MyWLVtYtWoVOp2O4OBgsrKyzMlVwTQ5XenpS/3VHaA0ICtdVlLmV0TZka5z584RFxdHeHi4eVlJSQkGLT%2BRr4qJiSEyMtJimZ%2BHB2RnW78Svd70wcvNVfoFZPTQ9iHX6cCoYdSnKtopKtLWlrMzFBYq1inKvXmhsnQ6U7CWl6f0wnKM6oGhTve/XUJlG3pEhKk11Ly5KVgbOBDi462vt26dWjsuLqZgLSkJCgrU6taooVZerzcFa1lZSp%2BnyyXeNy9UhsFgCtYyM6G4WK2LeXlq5Z2cTMHaxYtqn5EAQ%2BrNC13bkK8vpKcrfxhzPNWCQ837uLPiBx20HSCAQg0hm6ZjUYHC9wVo/s4QtzeHCti2b9/O8uXL%2BfLLL2nQoAEAU6dO5a%2B//jKXUb3WrGz5gIAAOnTowKJFi8zL0tPTyVYJrq7h7%2B9f/vRnZqa2D1FJiXz4qpLqti79hWg0KtUt0RAca2wKyszMrSQ%2BXq1ufr62dgoK1OuqRkOlSkqU6hZr/OgVF6t3UUPsAJhiKKW6Ro2/gIqKlAO2Kvo4/T1p3QC303eGjLDZzKG2YGZmJnq9Hjc3N4xGI7t27WLDhg0Uaj26XaNXr1789ttvbNq0iaKiIlJSUnjuueeYMWNGpaxfCCGEEBVwwOTvtxuHGmF7/PHHOXDgAD169MBgMNC4cWOGDh3KihUrKFA9jVKBevXqsXDhQt577z2mTZuGwWCgU6dOvPLKK5XQeyGEEEII%2B9AZjVVxNdMdRvXCTr0ePD1N172pXMPmpe1qZ7mG7WqdKrpuJMuofq2hXg8eHpCTo3bGw6ua4l0eoaGmGxXCwtROiapc7wamu0obNoTTp9VPiarccQ2mi8u8vSEjQ%2BlcZVqJ2oX2BgP4%2BMDly%2BqnRHNy1Mo7O0NAACQnq%2B3ngU7n1RpycgI/P0hNVf4wZlWro1Re8z7u%2Bje8hi2var4zgKq9S6asI0fss9677rLPeh3QnTWeKIQQQghxG3KoU6JCCCGE%2BBu6w643swcJ2IQQQghhXxKw2Uy2oBBCCCGEg5MRNiGEEELYl4yw2Uy2oBBCCCGEg5MRNntQzDVpppgYW1egYbZ5nQ5cXNAVFijNuVHspJjsG9O0B448CfexJLXpNlxdISgIzqS6K81M0cz7ws0LXcvJCTxq4pGbpja9gpbpNsCUakrlRakmiy%2BdPqRvX/VsDNu2qZX39oYHHoBDh0xTe1ippmqiTg8P8GmJz7k45Xk6av5/9u48vol66x/4J0nTjRZa2oalgkUoBYQrZeciKq2ogKyChUKRW5AHKS1uPxdWtRfwepGtiCAPiAhcKogLyBUeRbmIUFQWEW5lKVVoKS20QLc0aZrfHyGxgSI5E9Km5fN%2BvfoKJHNyZiaTycl3JnMChJ1LzV4AmqOx4XfZ6yRt62Vt06fVikdEpJc2se5%2BTCbhfkLpSI2COKUjGuJUvgo7sSr9rKkJHGFzGgs2IiIici0WbE7jGiQiIiJycxxhIyIiItfiCJvTuAaJiIiI3BxH2IiIiMi1OMLmNBZsRERE5Fos2JzGNUhERETk5jjCRkRERK7FETan1bo1aDKZcPbs2ZqeDSIiIqJq45KCbfv27ejZsyc6d%2B6Mb7755rY%2B93PPPYdPP/0UAJCdnY3IyEhkZ2ff1hxERER0G6nVrvm7g7jkkOimTZswYMAAzJgx47Y/d0FBge3fTZs2xSFpmxsiIiKqXndYceUKt30NDh8%2BHPv378fGjRvRtm1bRERE4M0330TXrl3x%2BuuvAwC%2B%2BOILDBw4EJ07d8awYcPw3Xff2eINBgMWL16M6OhodOvWDU8//TR%2B%2B%2B03AMD06dPx448/YsWKFZg0aRLOnTuHiIgInDt3DgAQERGB1NRUPProo7jvvvswadIk/PLLLxg5ciQiIyPxxBNP2J7rVvNBRERE5C5u%2Bwjb5s2bERcXh27dumHo0KGIjo5GcXEx9u7dC71ej927d2P27Nl499130alTJ/znP/9BYmIiPvroI4SHh2PhwoXYv38/1qxZA51Oh5UrVyI%2BPh7bt2/HnDlz8Pvvv6Nbt25ITEy0FWqVbd26FampqTAYDBgwYAAmT56M999/H02aNMH48eOxfPlyzJs375bz4ajc3Fzk5eXZ3RcSGAhdSIjT6/KWVCrlMUpi6xgvYT97rdb%2B1mEeCt5m1ibc1ltHSRfK09P%2B1lGRkbLprc3ipU3jAUszd4l69exvHSVtwG1tvK2kAXd1bXzS7Ufpdgf5AIp1eg683CH4QjutWn4lOmTIEHh6esLT0xPr1q3DqFGj0LVrVwBAnz59EBUVhY0bN2LGjBnYuHEjlixZgmbNmgEAEhIS8NFHH%2BHbb7/Fo48%2BestcY8aMQUBAAAAgPDwc7dq1Q8uWLQEAPXr0wE8//QQAfzofM2fOdHjZUlNTsXTpUrv7piQkIDEpyeHnsBFXAk4Q5pLvvq/FKfy8UEK6%2Bpo3V5anSRNpRJCyRABwbVt2PJXCXE2byqY/eFBZng0blMUp0bFj9eS5tn%2BpFvKNTxl/f3mIwlTSulrx3kjBzqW69nvVtkwmk7I85BaqpWDT6XS2f2dlZeHAgQP417/%2BZbvPZDKhR48eyM/PR0lJCaZOnQp1pWrcaDQiKyvLoVwBlT7gNBoNGjRoYPu/Wq2G2Wy%2B5XxIxMTEICoqyu6%2BkMBAwGgUPQ%2B0WnnMtWURUan%2ByCWIN2mEIzCw7Euk%2B4eKCnEaAMpW3/nz8hxNmljiJLma17skSwRYVl5AAHD5smwlFhbK8nh6Woq17GzAYHA8btgwWZ42bSzFWmwskJ4ui01JkU1fr56lWDt8GCgudjxOWhx7e1uKtdOnAb1eFistiJRufNLRSY3GMm%2BFheI3b6FGtv7UastLVVwse9/7%2ByooOpTsjACYFBRSSlJpUH3LVGM4wua0ainYVJUOvzVu3BhDhgzBxIkTbfdlZ2fD29sbAQEB8PLywurVq9Gx0rfjjIwMNGrUSJzrz/zZfEjodDq7ghSAvHJQSknBVjnWmfg6oKxMWZzRKIz1KleWCLDskMsF8UoXymCQxSr9sU96ujz26lVluYqLZbHSw8JWej1QUiKLUZpLuvEp/UA3mcSxFQrPsqioUP5FjWoRFmxOq/Y1%2BOSTT2Lt2rX4%2BeefAQBHjx7FsGHDsG3bNqjVagwfPhxvv/02cnJyUFFRgU8%2B%2BQSPP/647ccCnp6eKJSOIgjng4iIiMidVHung8ceewwlJSWYNm0asrOzERAQgHHjxiEuLg4A8PLLLyMlJQWxsbG4fPkymjVrhiVLlqBdu3YALOfDvfbaa/jll1/w1ltvuWw%2BiIiI6DbhCJvTVGbzHX5czBWUHBJVchKWkuMIKpXlcIzBIDuHzUP4qza4/zlsmZmy6b28LD9U%2BP132VGp8PoXZIkAyy9Lg4KAS5dkh0QvX5bl8fICwsIsK0OyUNJfe0ZGWn6o0KmT/JDo9u2y6evXB3r1AvbulR0SDQ6W5fH1Be69Fzh2TH5IVHq%2BnNKNr2FDWR6l504CuOIh%2B8GLWv3H6XKS930DP57DpjiRNa4mSM4nlZD/aqXWYi9RIiIici2OsDmNBRsRERG5Fgs2p3ENEhEREbk5jrARERGRa3GEzWlcg0RERORaarVr/px06dIlTJ48GV26dEH37t0xZ84clN/kh167d%2B/GwIED0bFjR/Tr1w/ffPON3eMrV67EAw88gI4dOyIuLg4ZGRlOz19lLNiIiIjojvTss8/C19cXe/bswebNm7Fv3z6sWbPmhukyMzORmJiIqVOn4scff0RiYiKeffZZXLhguQrAJ598gg8//BCrVq1CWloa7r33XiQlJeF2XoiDBRsRERG5lotG2HJzc3Hs2DG7v9zcXIdm6bfffsOBAwfw//7f/4OPjw%2BaNWuGyZMnY/369TdM%2B8knn6BLly54%2BOGH4eHhgf79%2B6Nr165ITU0FAHz00UeIjY1FeHg4vLy88MILLyA7OxtpaWm3bRXyHDZXOHdONr2nJxAaCuTmyvo5Sq/lBFiuwePpaWmnI7iGj8ZT2F5JrQZ8fKAxlIousqTxULBJqlQAPKE1y64tFxwsu7ac9fJFAQHCyx9dFfaZBP5oXWQwyLaJ69uk3Yp1oRo2lC2UkmujAZa%2BoNJWU/37y6a3XvMtMVF2zbedO2V5rOursFDew1W6Ew8JsVyHbd8%2BIC/P4TDTM1NkeWBpQ27yl%2B9bGuiF19lSqwH4wN9Dto/49ZTsulu2Sw2e1Yg7t0mvC%2BntDbRoYblcnqS9rLe37Npo1o%2BMrByNaPcAWOavLklNTcXSpUvt7psyZQoSExNvGXvy5EkEBATYtb5s2bIlsrOzcfXqVdSv1Iv31KlTaN26tV18q1atkH6tN/KpU6fw9NNP2x7TarUICwtDenq6uEf5zbBgIyIiIpcyQ2Gz2VuIiYlBVFSU3X0hISEOxRYXF8PHx8fuPuv/S0pK7Aq2qqb19vZGybWLZt/q8duBBRsRERG5lNIuNrei0%2Bmgkx5ZuMbX1xelpaV291n/X%2B%2B6Dgo%2BPj7QXzdsqtfrbdPd6vHbgeewERER0R0nPDwcly9fxsWLF233nT59Go0bN4a/v7/dtK1bt8bJkyft7jt16hTCw8Ntz1X5caPRiMzMzBsOozqDBRsRERG5VEWFa/6cERYWhs6dO2Pu3LkoKirC2bNnsWzZMgwfPvyGaQcNGoQDBw5g%2B/btKC8vx/bt23HgwAEMHjwYAPDEE09g3bp1SE9PR1lZGd5%2B%2B20EBwejS5cuzs1kJSzYiIiI6I60ZMkSlJeXIzo6Gk8%2B%2BSR69%2B6NyZMnAwAiIyPx%2BeefA7D8GOGdd97BihUr0LVrVyxbtgwpKSloce1XHMOHD8e4ceOQkJCAHj164Pjx41ixYgW0Wu1tm1eew0ZEREQu5apz2JwVHByMJUuWVPnYoet%2BZd67d2/07t27ymlVKhXi4%2BMRHx9/2%2BfRigUbERERuZS7Fmy1CQ%2BJEhEREbk5jrBVUlZWhoKCAjRu3LimZ4WIiKjO4Aib8zjCVklsbCy%2B//77mp4NIiIiIjscYaukoKCgpmeBiIiozuEIm/PccoTt%2BPHjGDVqFCIjIzF48GC8%2B%2B67ttYTX331FYYNG4ZOnTrh0UcfxZo1a1BxbUuoqKjAe%2B%2B9h4cffhidO3fG8OHDsWfPHtvzRkVFYcuWLbb/p6WlISIiAgAQHx%2BP7OxszJ49G2%2B88UY1Li0REVHd5o7XYatt3G6EraioCBMmTEBMTAw%2B%2BOADnDlzBpMmTYJKpcL%2B/fvx7LPP4q233sIjjzyCX3/91Xa9lHHjxuGdd97B5s2bsWzZMkRERGDnzp2YPHky1q9fj7/85S9/mnf16tWIiorClClTMGzYMIfnNzc3F3nXNWMOMRqhc7CXGQDAep0W6fVaNLKGwQCuNVyudCuNc5RK9cetJFaloN9c5VwC0tWndNXZGrlLeHjY3zqquhaqUo89h1jbsyhp0xIZKZu%2BTRv7W0ddd2XzW/L1tb%2BVkOwfACAw0P7WHVXTPsLLS5bG%2BvZT8jY0m6snl3R6pR8Z0kbx5F7crmDbtWsXNBoNEhMToVarERERgQkTJmDVqlXYsmULoqOj0b9/fwDAvffei4kTJ%2BLDDz/EuHHj8PHHH2PixIm49957AQD9%2B/fHjh07sHnz5lsWbEqlpqZi6dKldvdNSUhAYlKS/MkU9kNTxM%2BvevJ4e1dPHkC896qvYAcOKFh19ZsoSwTIP9iVki5Ur17K8nTsKI85eFBZrg0blMVJKdm39OihLNcjj4gmV/CVzhKnJPC6xtcOE%2B4jwsKUpWnaVFmcEqGh1ZNH%2BpFx5oxr5sMRd9pomCu4XcGWk5ODpk2bQl3pG1ezZs0AAJcuXULbtm3tpr/rrruQlZUFALh48aJt2sqPp6enu2x%2BY2JibIdrrUKMRuDaPDlEq7W883JzAaPR8TjpiABg%2BSbr5wcUFcneQdKvciqVZUes18u%2Bpir5pFCpLPNnNIpyXdXLKjalq65%2B8XlRHgCWkbWQECAvDygvdzxOOoKldKGOHpXlqVfPUqwdPgwUF8tiExNl07dpYynWYmMByXt/2TJZHl9fS7H2889ASYks9rffZNMHBlqKtZ07AcG5tqbhMbI8sLwFTSZxGDSG0ltPVJnCfUTmBVlh6OlpKdays%2BUjTEpG2EJDLbt/SS4lI2xKPjKodnO7gq1p06bIzs6G2WyG6tqQeXZ2NgAgNDQUv//%2Bu930Z8%2BeRci1UYjQ0FCcPXv2hsd1176GqNVqGCtt3bfjRwY6nc72/DZnzigbezYaZXFK9qpWFRWyeKWH2sxmWSEgPt5Yidks2sMqXX3SVefUcYjyclm80hFN6UJdvaosT3GxPPa6q407LD1dFltYqCxPSYk89rrTKBxWUKA81tWkQygK9xFlZbI0VgaDPFbpqJDBYKlDXU36kVGTOMLmPLf70UFUVBTMZjOWL18Og8GAjIwMrFq1CoCluequXbvw73//GyaTCcePH8fKlSvxxBNPAABGjBiB9957D8eOHYPJZMK///1v7Nq1C0OHDgVg6QX29ddfQ6/XIy8vD2vXrrXL7enpiUKlO20iIiKqEn904Dy3K9h8fX2xbNkyfP311%2BjWrRuef/559OrVC1qtFvfddx8WL16MlStXokuXLpgyZQpGjRqFSZMmAQD%2B9re/YfTo0XjuuefQpUsXrFixAgsWLEC3bt0AAC%2B%2B%2BCKKi4vRq1cvjB07FoMGDbLLPXz4cCxcuBAvvvhitS83ERER0c243SHRgoICGI1GbN682Xbfhx9%2BaDsPLTo6GtHR0VXGajQaTJw4ERMnTqzy8fDwcKxfv97uvpEjR9r%2BPWHCBEyYMMHZRSAiIqJK7rTRMFdwuxE2k8mEp556Crt37wYAnDt3Dhs2bECfPn1qeM6IiIiIaobbjbAFBwdj0aJFmD9/Pp599lnUr18fQ4cOxfjx42t61oiIiEgBjrA5z%2B0KNgB4%2BOGH8fDDD9f0bBAREdFtwILNeW53SJSIiIiI7LnlCBsRERHVHRxhcx5H2IiIiIjcHEfYajNn%2BoFK%2B/5Jm5BbSa%2B8n5Ehz%2BHpCTRrBly4ILrsd8bllqI0Pj5Au3bAuXNAqaALT%2BcAQWspK%2BtV4MvLRa2pLlXImoNrVEAAgMsV9WESfAMOCg4W5bE1SA8IkPfh2blTNr21ZduyZbIOBMI%2BnYiMtPQ5nTxZ3o1h1CjZ9GFhQEwMcOQIkJnpcJhGmkejAQICoCm8LG8FIm3PpdVa3lRXroj6K9WvL2u/Zt111asnbxwv3X1ZG8IEBclWn3T3at09BATUnpGr2jKf7owFGxEREbkUCzbn8ZAoERERkZvjCBsRERG5FEfYnMcRNiIiIiI3xxE2IiIicimOsDmPBRsRERG5FAs25/GQKBEREZGb4wgbERERuRRH2JzHETYiIiIiN1frRtiioqKQl5cHj2uXhjabzbj77rsxZswYjBgx4pbxaWlpGDt2LH799VdXzyoRERGBI2y3Q60r2ADg9ddfx7BhwwAABoMB3377LV599VUUFBRg4sSJNTx3REREVBkLNufV%2BkOinp6eeOSRR/Dyyy9j6dKlKCoqwsGDBzF27Fjcf//96NChA4YNG4bDhw9XGX/s2DHExcUhMjIS999/PxYvXgyz2VzNS0FERER0c7VyhK0qDz30EGbOnImffvoJL730EpKSkjBq1Cjo9XpMmzYNb731FjZs2GAXc/nyZcTHxyMuLg6rVq1CTk4O4uLi0KhRI4wcOdKhvLm5ucjLy7O7L8RohC4kxPGZ12rtb%2B9k0sbggOL15%2BMjS2NtBC1tCF2dy2RtPi2dXhpna%2BbuKMUrD/Im5NZ5k85jZKRs%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%2B8vS3F2unTspUHyD9lfH0txdrPPwMlJY7HTZ4sy9OmjaVYi40F0tNlsY89Jpu%2BaVNLsbZ0KZCd7XjcSy/J8ijdIAD56%2BrhYSnWLl4EyssdDsvTyL7EeHhYirWCAlEaAICXl2x6tdpSrBUVyQoUJSN5Pj5AaSkLoTtJnSnYdu3aBV9fX2i1WiQnJ2Pjxo1o3749AGD16tU4c%2BbMDTGNGzfG%2BfPnYTabbUXbV199haKiIgwZMsShvDqdDrrrC6czZwCDQb4QRqOyuLrEmeUXrr/SUmVp9HphrFf1LZP0M7ZynChWUghVptfLY5UOC5SUyGIPHVKWJz1dHqvkMCpgKdYyMx2fvto2CMi/BFqVl4tiyxWeYlxeLi/YlHxPBSxFlGT1SQ9EVM5TWwq22jKf7qzW/%2BjAYDBg%2B/btWLBgAZ577jkYDAao1Wp4XztX5vDhw1i7di0MVXzoPfTQQygvL8fy5cthMBjw%2B%2B%2B/Y%2B7cuSgrK6vuxSAiIiK6qVo5wjZ79mwkJycDALy8vHDPPffg9ddfR//%2B/WE2mxEbG4vRo0ejoqICd911F%2BLi4vD222/j4sWLds9Tv359rFq1CvPmzcP7778PHx8fjB49GjExMTWxWERERHUSR9icV%2BsKtl27dv3p4yqVCq%2B88gpeeeUVu/vHjx8PAAgODra7aG7btm2xdu3a2z%2BjREREBIAF2%2B1Q6w%2BJEhEREdV1tW6EjYiIiGoXjrA5jyNsRERERG6OI2xERETkUhxhcx4LNiIiInKp2liwlZSUIDk5Gbt27UJ5eTmio6Mxe/Zs1KtXr8rpd%2BzYgWXLluHs2bMICAjAsGHDMHnyZKiv9RDr168fsrOzbf8HgM2bN6Olgx1gWLARERERXSc5ORnnz5/Hjh07YDKZ8Oyzz2L%2B/PmYPXv2DdP%2B8ssveOmll7Bo0SI8%2BOCDOHPmDJ5%2B%2Bmn4%2BvoiPj4eRUVFOHPmDL7%2B%2BmuEhoYqmh%2Bew0ZEREQuZe3KcLv/cnNzcezYMbu/3Nxcp%2Be3tLQUW7duRVJSEgICAhAUFIQXX3wRW7ZsQWkVrW6ysrIwcuRI9OnTB2q1Gi1btkTfvn3xww8/ALAUwkBtPgAAIABJREFUdAEBAYqLNYAjbK6hFtbB1unValFsoV7ewF2tBuppgWKDVjRE7esrTgWNBjBVyHquCFvqOeXqVdn01vVVXGzpFeiw%2BgqOBVh7sJrNomMJ0q5P2mubkF4v6ywUFCBsM29tyujvD3h6ymLT0mTTh4QAPXoAv/0G5OU5HjdqlCxPWJjl9rHH5K2m/vUv2fSRkcDcucCXX8raYC1cKMtjZTLJ%2BzgpbSsnbL%2BmF86WdXMzGOSzqLQ1lXT1Kc1DQGpqKpYuXWp335QpU5CYmHjLWL1ejwsXLlT5WGlpKYxGI1q3bm27r2XLltDr9cjMzETbtm3tpn/00Ufx6KOP2j33t99%2Bi4EDBwIAjh49Ch8fH4wZMwYnT55EaGgoEhMT0adPH4eXlZsJERERuZSrzmGLiYlBVFSU3X0hISEOxR45cgRjx46t8rGpU6cCAHwrjVb4%2BPgAAIqLi//0eYuKijB16lR4e3tj3LhxACwX9e/QoQOef/55NG3aFF9%2B%2BSUSExOxbt06dOzY0aH5ZcFGRERELuWqgk2n00Gn0ymK7d69u13no8qOHz%2BOxYsXo7S01PYjA%2BuhUD8/v5s%2BZ0ZGBpKSkhAUFIS1a9fapp0wYYLddIMGDcK2bduwY8cOhws2nsNGREREVEmLFi2g1Wpx6tQp232nT5%2BGVqtFmPV0iOvs3r0bI0aMQO/evbFq1So0aNDA9tiqVauwb98%2Bu%2BkNBgO8rKeLOIAFGxEREbmUq3504Co%2BPj7o168f5s%2Bfj/z8fOTn52P%2B/Pl4/PHH4e3tfcP0hw8fRkJCAl599VW8/PLL8LjuxMTz58/j9ddfx9mzZ1FeXo7Nmzfj0KFDGDp0qMPzxIKNiIiI6DqzZ89GWFgYBg4ciMceewx33XUXZs2aZXt8wIABWL58OQBg%2BfLlKC8vx5w5cxAZGWn7sx4Kfemll/DAAw8gNjYWXbp0wcaNG/Hee%2B/h7rvvdnh%2BeA4bERERuVRtvHCun58fkpOTkZycXOXjX3zxhe3f1sLtZjw9PTFt2jRMmzZN8fywYCMiIiKXqo0Fm7vhIVEiIiIiN8cRNiIiInIpjrA5z%2B1H2BISEvDiiy/a3ffZZ58hIiICb7/9tt39ixYtwrBhw/70%2BdLS0hAREXHb55OIiIjIVdy%2BYHvooYeQdl1rmq%2B//hqRkZH4v//7P7v79%2B3bd8MVj4mIiKhm1bbLergjtz8k%2BuCDD2LmzJk4ffo0WrZsCYPBgD179mDNmjUYPXq07f7CwkIcPXoUs2bNwsGDB7Fo0SJkZGTgypUrCA8Px6xZs6q8mvCxY8fw5ptv4pdffkG9evUwYsQIJCUlQaVyrAdmbm4u8q7rVxhiMkHnYGsMAH80khM2lJO2LK0coyS2Wkj7TAJ/NMTUynqr/snFqqtk7VAi7qsquDCijcJlEk6udNMDzMJlUrg8ACy9QSUCA%2B1vHXWTi2HeVNOm9rcSkZGy6a29SqU9S6UvrEZjfyshfe8q3CY8hfsuZza96lp9zrSflqjJAudOK65cwe0LNp1Oh3bt2mH//v1o2bIl9u7dC51Oh/vuuw9du3bF119/jZYtWyItLQ3BwcFo2bIlHnzwQSQlJWHUqFHQ6/WYNm0a3nrrLWzYsMHuuS9fvoz4%2BHjExcVh1apVyMnJQVxcHBo1aoSRI0c6NH9VNp5NSEBiUpJ8YYUfTPXkGWyutURzOfF%2Bv1kz5ckaNxZN3lVhqnvvlUY0V5YIAJo0EU0uWwN/CA6WRihcJuHyWFIpzPXII7LpY2KU5ZkyRR4zd66yXNftw1wmIEAeExSkLJfwfRuqLAsUdi9SpH796skj3Y8XFrpmPqh6uH3BBlhG2dLS0jB69Gh89dVXiI6OBgBERUVh27ZtmDhxIvbu3Ys%2BffpAq9UiNTUVd999N8rKypCVlYWAgAAcPXr0huf95ptv4OXlhYSEBKhUKjRv3hzvv/%2B%2BXbPXW6my8azJBJw/7/gCenhYirW8PKC83OGw4vryDz%2B12vImLy2VfeOp4sLOt6TRACaTMCb7rDyRVmvZ6efkAEajw2E/5MgqNl9fS7F27BhQUuJ4XNdGv4vyALAsU5Mmlu1IsEw5nrLixsPDUqxdvCja9NDYIFwmhcsDALiuncstBQZairWdO4GCAsfjjhyR5Wna1FKsLV0KZGfLYr/8UjZ9mzaWYi02FkhPdzzuutNGbkmjsRRrly/L37ySNwWg%2BH2bpZa9b7VaS7GWmyvf9KSj6RqNpVi7elW2%2BqSDk0r34zWptsynO6sVBdtDDz2EDRs2oLy8HN988w1SUlIAWAq2efPmoaCgAN9//z2mTZsGjUaDtLQ0PP300ygpKUGrVq3g4eEBs9l8w/Pm5eWhSZMmdoc/77nnHtG8Vdl49rffAINBvqDl5aI4Z94Abnv8X8l6szIaRfFFRcrSlJQIYwPKlCUCLMtU5ni80bEj%2BTcoLxd%2BmAnmyY5weQBYvsgoUVAgi83MVJYnO1see%2BiQslzp6bJYSRVemckkj1X63hW%2Bbw0KT%2BcQpgGg7AwNQL76xKckXOO2%2B3FyiVpRsHXo0AFqtRqffvopzGYzIq%2Bd/xEaGorw8HB89tlnyM3NRY8ePXDkyBEkJydj48aNaN%2B%2BPQBg9erVOHPmzA3P27hxY5w/fx5ms9lWtH311VcoKirCkCFDqm8BiYiI6jAWls5z11PP7ajVajzwwANYvnw5%2BvTpA3WlMy2joqLwwQcf4K9//Su8vLxQWFgItVpta856%2BPBhrF27FoYqvlo99NBDKC8vx/Lly2EwGPD7779j7ty5KFM6ekBEREQ34K9EnVcrCjbAch7b2bNnbzhfLDo6GtnZ2ejTpw8AoFevXoiNjcXo0aPRtWtXvP7664iLi0N%2Bfj4uXrxoF1u/fn2sWrUK%2B/btw/3334%2B4uDiMHDkSMUpPPiYiIiJygVpxSBQA%2Bvfvj/79%2B99wf/v27fHrr7/a/q9SqfDKK6/glVdesZtu/PjxAIDg4GC76du2bYu1a9e6aK6JiIjoThsNc4VaM8JGREREdKeqNSNsREREVDtxhM15LNiIiIjIpViwOY%2BHRImIiIjcHEfYiIiIyKU4wuY8jrARERERuTmVuaqeTeSUK1dk06vVgL%2B/pTGv5FuIWkG5rVYD9eoBxcWyXP6%2Bwr6CgLJmokoWCgBUKkC4KV/Kl/VxUtpmMUgt6GdZOZmSpoR6vSyPwj624p49TvSoNAXIm4or6mN7%2BZI8idK%2Bm9K2Tx4elubqly4Jm77KGqsjMhI4eBDo1EncPqtML3v/qVSWzchgkL11pS3lnHmZpK2slL6dpD1LlX5mAECDBrLpb5cPPnDN8z71lGue1x3xkCgRERG5FA%2BJOo%2BHRImIiIjcHEfYiIiIyKU4wuY8jrARERERuTmOsBEREZFLcYTNeSzYiIiIyKVYsDmPh0SJiIiI3BxH2IiIiMilOMLmvDtuhC0zM7OmZ4GIiOiOUlHhmr87iVsUbOfOnUNERATOnTt32587KioKW7ZsAQCsX78eM2fOrPIxIiIiInd1Rx0Szc/Pr%2BlZICIiuuPcaaNhruAWI2xWW7duRb9%2B/dCxY0eMGzcOFy5cAAB8//33GD58OLp06YIBAwbg888/t8UUFRVhxowZeOSRR9CxY0f07t0by5cvv%2BG5P/nkE6xYsQI//vgjunTpYrv/2LFjGDlyJDp16oQBAwbgwIEDrl9QIiIiIgG3GmE7duwYPvroI1RUVGDcuHF45513EBsbi2eeeQb//Oc/ER0djSNHjmDy5MkIDAxE7969MX/%2BfJw7dw6bN2%2BGv78/du7ciaSkJPTr1w9333237bmHDh2Kc%2BfO4cCBA/jwww9t93/33XdYuXIlmjZtitdeew0zZ87Ejh07HJ7n3Nxc5OXl2d3n4xOCkBCdw89h7Xcu7XuutPm70ti6RqNRNr00DmppAJS/UB7Ct7R1emlcta28auTOy6Q0V2SkbPo2bexvBVQqZdNL46rzZaqut5PSfb80riZHuTjC5jy3KtgmTZoEf39/AEDv3r3x888/Y%2BPGjYiOjsYjjzwCAOjUqROefPJJrF%2B/Hr1790ZiYiI0Gg38/PyQk5MDLy8vAJZCqnLBdjMxMTFo3rw5AOCxxx4Tn9OWmpqKpUuX2t2XkDAFSUmJoucBgHr1xCGK%2BfhIIxR%2BKFXnB7Rwzx8QoCzNtU1UoL6yRADg56c8ViIwsHryyFee0i1PvulV3wahnHQeDx5UlmfDBnGIp7JM0GqFeRQmqs6XqbreTtLPjCtXXDMfjmDB5jy3KtgCKu2MtFotTCYTsrKysH//frvDmCaTyVZkXbp0CXPmzMHx48dx1113oX379gCACge3jqpySsTExCAqKsruPh%2BfEBQWOv4carXljVdcLNuolY6w%2BfgApaWyXPW8ZesFgOUTU7g%2BFQ/9qVSA2SwKuXxFVuBpNJadfmGhbLEC1FdFeQBY1oOfH1BUJHuhyspkeTw8LJ8uBQVAebnjcdJPWaUrD4DJX15IKdn0NIWX5UkULpN85jSWYu3yZVls376yPG3aWIq12FggPV0UatgvKw5VKstmZDTK3rolJaI0Tr1MRqNseqVvJ29vWR6lnxlUu7lVwVaVxo0bY%2BjQoXjjjTds9%2BXm5sJ87R0%2BdepUREVFYdWqVfDw8EBBQQE%2B%2Buijaps/nU4Hnc7%2B8OeVK8reRNX5M%2BU78SfR15PuvCvHiWLNChMBlhdJkkzyKXF9nCRWaWEtXnnVqNo2CCh/nUwmWeyhQ8rypKeLY4Xfl%2BziJLG14WWSvp2U7otr0368tsynO3P7M5mGDx%2BObdu24bvvvkNFRQUyMzMxZswYrF69GgBQWFgIb29vaDQa5Ofn4%2B9//zsAwFjFVyMvLy8UFRXZij0iIiKi2sDtC7b77rsPCxYswIIFC9C1a1eMGTMGUVFReOGFFwAA8%2BbNw/bt29GpUycMGzYMjRo1Qrt27XDixIkbnqtPnz64fPkyOnfujKtXFRymIiIiIjFeONd5KjOHm2476YmdavUf51hUxzlsSs598Pete%2BewXcqXn8Om5DSiIHWBKI8tWf36wNWrsmR6vSyPhwcQEgLk5cmO4UjP/Fa68gCYAoJkuaDwHLbLl%2BRJFC6T%2BFibhwcQFARcuiSLbdxYlicy0vJDhU6dxIdEy/Sy959KZdmMDAbZW7eoSJTGqZfJYJBNr/Tt5Osry6P0MwMAGjSQTX%2B7/OMfrnnel192zfO6I7cfYSMiIiK607n9jw6IiIiodrvTDl%2B6AkfYiIiIiNwcCzYiIiJyqdr4o4OSkhK8%2Buqr6N69Ozp37oyXXnoJxcXFN51%2B9uzZaN%2B%2BPSIjI21/qamptsdXrlyJBx54AB07dkRcXBwyMjJE88OCjYiIiFyqNhZsycnJOH/%2BPHbs2IGdO3fi/PnzmD9//k2nP3r0KJKTk3Ho0CHbX0xMDABLP/MPP/wQq1atQlpaGu69914kJSWJLjPGgo2IiIioktLSUmzduhVJSUkICAhAUFAQXnzxRWzZsgWlpaU3TG8wGHDixAlbt6XrffTRR4iNjUV4eDi8vLzwwgsvIDs7G2lpaQ7PE390QERERC7lqtGw3Nxc5OXl2d0XEhJyQweiquj1ely4cKHKx0pLS2E0GtG6dWvbfS1btoRer0dmZibatm1rN316ejrKy8uxZMkS/PTTT/D398cTTzyBCRMmQK1W49SpU3j66adt02u1WoSFhSE9PR09evRwaFlZsLlAg9%2BPygK8vQH/cPjnnJRdRys4WJYHsFwoqF4I6pVIr7vVUJZHpfrjYliCIV%2BTh5cszzUaDWCqkF1XTXrJN%2Bv0arXyNjyuVuTfRDS9Wg34AiipFyLaoSq5vJ4/gEJNAIQvExrob37OyE2T%2BfhAYxA2zJU2qbT2U9Xr5U0npRf48vS0XIetpEQUq%2BjaaLD0BZVu417ewhf22jXfPHsIr/mmYJkAy7XOpMskLTKsufz9Zbl8cOOIza0TecNfq1ewM/IRTu/eUlNTsXTpUrv7pkyZgsTExFvGHjlyBGPHjq3ysalTpwIAfCtdJM/Hx7LuqjqPrbCwEN26dUNcXBwWLFiA//73v0hISIBarcaECRNQXFxsi7fy9vZGiWC/w4KNiIiIXMpVI2wxMTGIioqyuy8kJMSh2O7du%2BPXX3%2Bt8rHjx49j8eLFKC0tRb169QDAdijUz8/vhul79eqFXr162f7/l7/8BU899RS2b9%2BOCRMmwMfHB/rrBmT0er3tuR3Bgo2IiIhcylUFm06nc%2Bjwp1SLFi2g1Wpx6tQp3HfffQCA06dP2w5lXu%2Brr77CxYsXMXLkSNt9BoMB3t7eAIDw8HCcPHkSffr0AWDpd56ZmWl3yPVW%2BKMDIiIiokp8fHzQr18/zJ8/H/n5%2BcjPz8f8%2BfPx%2BOOP24qwysxmM%2BbNm4d9%2B/bBbDbj0KFDWLt2re1Xok888QTWrVuH9PR0lJWV4e2330ZwcDC6dOni8DxxhI2IiIhcqjZ2Opg9ezb%2B8Y9/YODAgTAajYiOjsbMmTNtjw8YMAADBw7EpEmT0LdvX7z66qt47bXXcOHCBQQHByMxMRGDBw8GAAwfPhyFhYVISEhAfn4%2BOnTogBUrVkBrPRfWASzYiIiIiK7j5%2BeH5ORkJCcnV/n4F198Yff/kSNH2h0SrUylUiE%2BPh7x8fGK54cFGxEREblUbRxhczcs2IiIiMilWLA5jz86ICIiInJzHGEjIiIil%2BIIm/Nu6wjbli1bbriAHRERERE5hyNsRERE5FIcYXOeooJt165deO%2B99/Dbb7%2BhpKQEHTp0wN///ncAQHl5Of7xj3/gs88%2Bg6%2BvL0aOHInx48dDpVLh5MmTeO2113DixAn4%2BfmhW7dumDlzJvz8/GAwGPDuu%2B/i888/R2FhIe677z7MmDEDd999NwAgIiICM2bMwLp165Cbm4uIiAi8/vrriIiIAADs3bsXCxcuxOnTpxEYGIj4%2BHiMGTMGAPD9999jwYIFyMzMRKNGjfA///M/GDRoEAD86Tw5osrGs4WF0DnYGgMA4OVlf%2BsoDwUvnzVGGqsS9gm0Ti%2BNq0YajWz6yr1EhZmkAYqTSeet8sskiZW2L1S%2B7hQEKV0owfWQACh/LylhnTfhPFbr2zYyUjZ9mzb2tw6qzmWqvlzVlKgGmyCzYHOeeE%2BTk5ODqVOnYvHixYiKikJBQQGmTJmCd955Bz179sSFCxegVqvx7bff4sSJExg/fjyCg4MxZMgQvP766%2BjZsyfWrVuHgoICPPXUU9i0aRP%2B9re/YeHChdi/fz/WrFkDnU6HlStXIj4%2BHtu3b4fXtULmiy%2B%2BwLp16%2BDt7Y2kpCS89dZbWLVqFc6cOYNJkyZh9uzZGDJkCNLT0zF27FjcfffdCAkJwTPPPIN//vOfiI6OxpEjRzB58mQEBgaid%2B/efzpPjqiy8WxCAhKTkqSrFmjeXB6jVGBg9eQRfsAoKG3%2BiBUG16%2BvLI%2BDtXzlTMoSKUjme%2BtJquRTTf2gBW3zKlE4c1VcjfzP0yjMExysLE6Jxo1Fk3sqTCOtXQEABw8qS7Zhg2jyal0mhaTfvQHhtqo0UamwyTy5FXHB1rBhQ3zxxRdo3rw5ioqKkJOTg8DAQFy4cAEAEBgYiOeffx4ajQbt27dHTEwMPv/8cwwZMgReXl7Ys2cPWrZsiZ49e%2BKzzz6DWq2G2WzGxo0bsWTJEjRr1gwAkJCQgI8%2B%2BgjffvstHn30UQBAXFycralrv379sGLFCgCWQu7ee%2B/F8OHDAQDt27fHhg0boNPpsGTJEkRHR%2BORRx4BAHTq1AlPPvkk1q9fj969e990nhxVZePZK1eAkycdX6leXpZi7fffgbIyx%2BMCAhyf1srDw1KsFRQA5eWOxzVoIMujUln2kEaj6FudSaNsd6zRACaTLKa4WDa9Wm2pn4qKZN8W6%2BOqLJETyUo8ZMWhSmWpU0pLZV%2B%2BpetarbYUa8XF8m/a/h7CDxmVylKs6fWyhbpyRZbHw8NSrF28KHsvAZb3hYRWaynWcnJEsYZGzURpFL5tAQCePTrJAtq0sRRrsbFAerrDYYb9ssLQmWWSbqsqlWV3XlYmy%2BUN/a0nuh2JahBH2JwnLti0Wi22bduGjRs3QqVSoXXr1igqKoLHtcMCTZo0gabSUEeTJk3w9ddfAwAWLVqElJQULFy4EM8//zw6deqE1157DQ0bNkRJSQmmTp1qVywZjUZkZWXZ/h9c6Zush4cHzNc21NzcXDRt2tRuPttcG2bPysrC/v377fp1mUwmNL82mnWzeQoPD3dofVTZePboUcuHhVRZmSxO%2BiFxfawkXulOwWx22x2KtOiwqqiQxipMpCBZhfDoofXtZjbLdqhKd74VFQpipQFKF0paRFmVl8tjDQZluYxGUWy1vm0PHVKWLD1dFFudy1R9uere/pVuP3HB9u9//xvr1q3Dv/71L9v5ZcnJyThx4gQAIC8vD2azGaprx9bPnj2L0NBQVFRU4Pjx40hMTMS0adNw/vx5zJs3D6%2B88go2bdoELy8vrF69Gh07drTlysjIQKNGjW45T02aNMHu3bvt7vv4448RFBSExo0bY%2BjQoXjjjTdsj%2BXm5sJsNv/pPH388cfSVUNERERV4Aib88SnABcWFkKtVsPb2xtmsxn/%2Bc9/8Omnn8J47RtmXl4e3n33XRgMBhw6dAibNm3CyJEjoVar8fe//x2LFi1CWVkZGjZsCC8vLwQGBkKtVmP48OF4%2B%2B23kZOTg4qKCnzyySd4/PHH8dtvv91yngYMGIDjx4/j008/hclkwi%2B//II333wTHh4eGD58OLZt24bvvvsOFRUVyMzMxJgxY7B69eo/nSciIiK6Payj67f7704iHmEbOnQofvrpJwwYMAAajQb33HMPnnrqKaxfvx5GoxERERE4d%2B4cunfvjpCQELz00ku2c7wWLVqE5ORk3H///aioqEDXrl1tTVVffvllpKSkIDY2FpcvX0azZs2wZMkStGvX7pbz1Lx5c7z33nt4%2B%2B23kZycjKCgILzyyiu4//77AQALFizAggULMHXqVPj4%2BODxxx/H888/f8t5IiIiInIHKrOZB8Bvu6NHZdN7ewPh4ZYfKkjOYVPy6zQPDyAkBMjLk53D1rChLI9KBXh6Ws63kfzowEP88yoAyn50cFX4WwCNxvLL0qtXZbkCUSBL5ESyIq1sdFitBnx9gZIS2bdVJT868PcHCgvl34obeCj4dYj1lxSSZPn5sjwKfwgAQH4Om6cn0KwZcPasKLbsrpaiNArftgAAL2/hJSYiIy2/LO3USXQOW5leNmPOLJOSHx0o%2Bb2LD6rphzVA9f0k/DrPPOOa5333Xdc8rztiL1EiIiIiN8dOB0RERORSd9r5Zq7Ago2IiIhcigWb83hIlIiIiMjNcYSNiIiIXIojbM5jwUZEREQuxYLNeSzYXKDgrg6i6TUaS3vwq43CZZeLOPWDbMYAyzUcQkKA3FzLtRwclZMjy%2BPjY%2BkVmJEhajh8sWmkLA8sVyoJCgIuX5ZdqaRR/n9liby9gfotUP/SGdHlV9b91FaWB5arqPTvD2z/rr7oahNjYpS0V9LCVyuME/Tb/YMG/r7yNl2/npJ1jPfyAsLCgMwLPqLWvPXry/J4aIAQAHmaxigXXllBL%2Bwq56kGQgFkqZvBIFj19YtkeTQayyUwSkoUtG5TcrkNWHqDSq5MofTyIZ49ZJcPAQC0aiWbvl074LPP4B0zGDh%2B3PE4f39ZHmsf1vh4UR9WAJZLqVCtxIKNiIiIXIojbM7jjw6IiIiI3BxH2IiIiMilOMLmPBZsRERE5FIs2JzHQ6JEREREbo4jbERERORSHGFzHkfYiIiIiNwcR9iIiIjIpTjC5jwWbERERORSLNicV6cPiWZnZ2P27NmIiopCx44d0a1bN4wfPx579%2B69YdpDhw6hQwdZhwIiIiKi6lBnC7YTJ05g0KBBMBgMWLlyJX766Sfs3LkTgwYNQkJCAnbv3g0AMJvN2Lx5M%2BLj42EwGGp4romIiOqeigrX/N1J6uwh0VmzZqFXr16YN2%2Be7b6AgAAMHjwYFRUVMBotvROnTZuGjIwMJCUl4c0336yp2SUiIiK6qTpZsOXk5ODQoUNYs2ZNlY8PHTrU9u%2BpU6eicePGSEtLU5QrNzcXeXl5dvd5e4cgJETn8HNY%2B2iL%2B2n7%2BgoDYGlgXvnWURqNbHovL/tbB3ko2CKtsyadRfE68PS0v3VQw4ayNABQv7797Z1MuAkpfZnE2551eiXbrHTetFr7W0dJ3xOK30uwNHNXMr00DpGRsunbtLG/lWjWTDb9PffY3zqqXj3Z9GFh9reOkjaKv43utNEwV1CZzWZzTc/E7Xb48GHExMTgyy%2B/RIsWLQAA%2B/btQ2JiIgDAZDJBp9Nhx44dtpi0tDSMHTsWv/76qyhXSkoKli5dandfQsIUJCUlOrkUREREt1GnTsDBgzWSevBg1zzvZ5%2B55nndUZ0cYQsJCQEAXLhwwVaw9ezZEz/%2B%2BCMAYMuWLTcUWUrFxMQgKirK7j5v7xBcver4c6jVgJ8fUFQk%2BxZS/%2Bwxxyf%2BY%2BaAli2B06cBvd7xOCUjbC1aAGfOAGVlDoddCpF/C9ZogIAA4PJlwGRyPC7o6hlZIk9PIDQUyMoCBOc7bv9vC1keWEbW7r8f%2BO47iLal/n2N4lzQagGjME48HAzLCyV5ga7JPCvb9jw9gaZNgexs0cskHuTw8AACA4GCAqC8XBYrPV1WqwV0OiA3V/ZSSZdJowH8/YHCQvlLJR3wV6n%2B2PQkwwaePTrJErVpA2zYAMTGykeYlIywLVwIPPcckJHheJySEba5c4Fp04DMTFks1Vp1smALDQ1Fhw4dsGnTJvTo0cOluXQ6HXQ6%2B8OfBQWKPpdQUSGMKymRJ7HS62XxSo77AJZirbTU4cmlH3yVmUzCeEnBWpnBIIrNz1eWBrAUa87E1wWCet/5jIsXAAAgAElEQVSOwSCLlR56tSovd33BZmU0ymKlR/2tTCb5PkzpsRqzWRh76JCyROnp8tjCQmW5MjKA48cdn97fX1mezMwaPcwpwUOizquzvxKdO3cu9uzZg5kzZ%2BLMmTMwm80oKirCp59%2BipSUlBuKLCIiIiJ3VSdH2ACgdevW2LZtG1auXIlJkyYhLy8PKpUKERERmDBhAkaMGFHTs0hERHRH4Aib8%2BpswQZYDldOnz4d06dPv%2BW03bt3F//ggIiIiG6NBZvz6uwhUSIiIqK6ok6PsBEREVHN4wib8zjCRkREROTmOMJGRERELlUbR9hKSkqQnJyMXbt2oby8HNHR0Zg9ezbqVXHdvFmzZmHr1q129%2Bn1evz1r3/FqlWrUFFRgc6dO8NsNkNVqb3H3r174evgRQxZsBEREZFL1caCLTk5GefPn8eOHTtgMpnw7LPPYv78%2BZg9e/YN077xxht44403bP//7rvv8MILL%2BCVV14BAJw6dQpGoxEHDx6Ep7Q33TU8JEpERERUSWlpKbZu3YqkpCQEBAQgKCgIL774IrZs2YLSW1wMPj8/Hy%2B%2B%2BCKmT5%2BO8PBwAMDRo0cRERGhuFgDOMJGRERELuaqEbbc3Fzk5eXZ3RcSEuLQxfH1ej0uXLhQ5WOlpaUwGo1o3bq17b6WLVtCr9cjMzMTbdu2venzzp8/H%2B3bt8egQYNs9x09ehRlZWV44oknkJWVhZYtW%2BKFF15Ap06Ot1pjweYCFy/KpvfysvSOvHxZ1konUMk7wBpTUSF7B2m1sjzWVlYeHqLYy5dlaQDL%2BgsKsnSRkay/RtJvOpWXyYlvSa5khPB1AqBVEKdkaF4DwARhT1rId/TWNkdmsyxW2sbJ2l7Xy0veuU3p9L6%2Bsk1P2gLLmsdolLfbkr5O1tN4KiqEralatZIlsvYDbdZM3mrq1CnZ9NYWU2fPymIbN5blCQ623F68CJw/L4utY1JTU2/oDT5lyhQkJibeMvbIkSMYO3ZslY9NnToVAOzOL/Px8QEAFBcX3/Q5z549i88//xybNm2yu9/b2xt/%2BctfMHXqVDRo0ADr16/H%2BPHj8fnnn6OZgz1rWbARERGRS7lqhC0mJgZRUVF294WEhDgU%2B2cXzD9%2B/DgWL16M0tJS248MrIdC/fz8bvqcH3/8MSIjI28YgbOey2Y1fvx4bNmyBbt378aYMWMcml8WbERERORSrirYdDqdS3qDt2jRAlqtFqdOncJ9990HADh9%2BjS0Wi3CwsJuGrdz507Ex8ffcP/ChQvx6KOPol27drb7DAYDvLy8HJ4n/uiAiIiIqBIfHx/069cP8%2BfPR35%2BPvLz8zF//nw8/vjj8L7J%2BRMFBQU4ffo0unbtesNjJ06cwJw5c5CXlweDwYClS5eiqKgIffv2dXieWLARERGRS1lPm77df640e/ZshIWFYeDAgXjsscdw1113YdasWbbHBwwYgOXLl9v%2Bf%2B7cOQBAo0aNbniuefPmoXnz5hg8eDC6d%2B%2BOAwcO4P3330dAQIDD88NDokRERETX8fPzQ3JyMpKTk6t8/IsvvrD7f4cOHW56TlxAQADmzZvn1PywYCMiIiKXqo0XznU3LNiIiIjIpViwOY/nsBERERG5OY6wERERkUtxhM15dbpgy87OxooVK7Bnzx7k5%2BfD09MTHTp0QHx8PHr16gUA2LFjB5YtW4azZ88iICAAw4YNw%2BTJk6FWc/CRiIiI3EOdLdhOnDiB2NhY9O3bFytXrkRYWBgKCwuxe/duJCQkYPHixQgKCsJLL72ERYsW4cEHH8SZM2fw9NNPw9fXt8oL3xEREZEcR9icV2cLtlmzZqFXr152P6MNCAjA4MGDUVFRAaPRiKysLIwcORJ9%2BvQBYGns2rdvX/zwww8OF2xVNZ4tLXWs8ayVtdWmtF0nKvU4c5j1gn/SxonS6a1XbxZcxRkAvBRskdbeiuL2nhphgMIXqmFDWRrA0lu28u2dTLrpKd0eNMI2p9ZB%2BOoYjLfOm3QepSq3y5Wy9gaVTi%2BNQ6UrxTvknnvsbyWsvUEd1aaN/a2jrL1BHWXtpyrtq3r0qGz624gFm/NUZrOo7W6tkJOTgwcffBBr1qxBz549HY7T6/UYPHgwBg4ciClTpjgUk5KSckPj2YSEKUhKunXjWSIiomrTpEmNNYuPjHTN8x465JrndUd1coQtJycHANC4cWPbffv27UNioqWIMplM0Ol02LFjh%2B3xoqIiTJ06Fd7e3hg3bpzDuapqPFtaGoLff3d8frXaP95HRqPjcc2vKPi25O0NhIcDJ08Cer3jcT4%2BsjxeXkCzZsDZs0BZmcNhmR7Cb4ywjKQ0bQpkZwMGg%2BNxYZqzskRaLdC4MZCTI3qhth9tJssDy8ja/fcD330HXL3qeJygy4mNVivb7gBlo0oaDWAyyeMk7yXAsj2EhgJZWbLtIShIlketBvz8gKIi%2BeiBdD1oNJZt4upVWWx5uSyPhwcQGAgUFMhjpYNRKpVlN1FWBkiGDbxjBssS3XMPsHAh8NxzQEaGLPascB/Rpg2wYQMQGwukpzsep2SEbdkyYPJk4NQpWWwN4Qib8%2BpkwRYSEgIAuHDhAlq0aAEA6NmzJ3788UcAwJYtW%2BxGxTIyMpCUlISgoCCsXbsWfn5%2BDueqqvHsyZOiGsXGaBTGlZTIk1jp9bJ48XGLa8rKRIVhmfSwcCUGg3D9eQg%2BzSszGkWVQH6%2BsjSA5QPamfi6QPK9ojKDQRarpJgELB9E0lhpMWRlMslileYpL5fHKj1WYzYLY48fV5YoI0Meq7QYSk%2BXDf1UGlwQOXWqRg9zSrBgc16d/ClkaGgoOnTogE2bNt1y2t27d2PEiBHo3bs3Vq1ahQYNGlTDHBIRERE5rk4WbAAwd%2B5c7NmzBzNnzsSZM2dgNptRVFSETz/9FCkpKdDpdDh8%2BDASEhLw6quv4uWXX4aHkjNtiYiI6E/Vxubv7qbOViitW7fGtm3bsHLlSkyaNAl5eXlQqVSIiIjAhAkTMGLECCQlJaG8vBxz5szBnDlzbLGdO3fG//7v/9bg3BMRERH9oc4WbIDl/LLp06dj%2BvTpVT6%2BfPnyap4jIiKiO8%2BdNhrmCnW6YCMiIqKax4LNeXX2HDYiIiKiuoIjbERERORSHGFzHkfYiIiIiNwcR9iIiIjIpTjC5jwWbERERORSLNicx4LNBZT07wPkbWeqlVbYM8q6UB4eolhfX1ka4I%2Bn9/a29Fx0mIcwmXWZvL3/%2BLcDlLTsscZI2/Zo9YWyRGo1oK0HraFYtkdV8kJBAw3k/Z%2B8vSUvqqWXaOVbR0mvm23tp6rRyDu3Kc3l6SmLlX5IWvN4e8tjfVAqC4AKgDe8oQcg2MilTUvr1fvjVhorbRll7QkaHCyLvdb/2mFNmlhuL16Ux1KtxYKNiIiIXIojbM7jjw6IiIiI3BxH2IiIiMilOMLmPBZsRERE5FIs2JzHQ6JEREREbo4jbERERORSHGFzHkfYiIiIiNwcR9iIiIjIpTjC5jwWbERERORSLNicV6cLtuzsbKxYsQJ79uxBfn4%2BPD090aFDB8THx6NXr14AgPXr1%2BODDz5AXl4eQkJCMHbsWIwZM6aG55yIiIjoD3W2YDtx4gRiY2PRt29frFy5EmFhYSgsLMTu3buRkJCAxYsXw2QyYfHixVi9ejXat2%2BPn3/%2BGWPGjEGrVq3Qo0ePml4EIiKiOoEjbM6rswXbrFmz0KtXL8ybN892X0BAAAYPHoyKigoYjUY8/PDD2LVrF/z8/FBeXo6CggKoVCrUr1%2B/BueciIiIyF6dLNhycnJw6NAhrFmzpsrHhw4davu3n58fMjIy8Pjjj8NkMuFvf/sb2rVr53Cu3Nxc5OXl2d1XXByCkBCdw8%2BhtFk1yhU04Pb2tr91lJeXbHqFCyXtMQ/Y95kX0QgDFCZq2FCWBgCs3xnE3x3Uwh9%2BW6eXxlUj6fvCug1JtyV3XnXVlcupPCqVsumlcW3ayKYPC7O/lbA2c3dUq1b2t46yNnN3lHUdSNfFoUOy6W8jjrA5T2U2m801PRO32%2BHDhxETE4Mvv/wSLVq0AADs27cPiYmJAACTyQSdTocdO3YAAIxGIwAgPT0dkydPRlxcHCZOnOhQrpSUFCxdutTuvoSEKUhKSrxdi0NEROQ8lQqooY/8Bg1c87xXrrjmed1RnRxhCwkJAQBcuHDBVrD17NkTP/74IwBgy5YtdkWW9tpX8Q4dOmDs2LHYunWrwwVbTEwMoqKi7O4rLg7BmTOOz6%2BnJxAaCmRlAQaD43Etio46PrGVtzcQHg6cPAno9Y7H%2BfvL8nh6Ak2bAtnZooXK8Q6T5YFlwCs4GLh4ESgvdzyusSbv1hNdnygwECgoECX64kCILA8sI2u9ewN79gBXrzoeN%2BChYlkitRrw8QFKS2VfgaUjtACg0QAmkzgsK0cjml6rBXQ6IDcXuPZdzCEBAbL5UrrqlFCaSzpfajVQrx5QXCyP9dcK9ieApXjw8gLKymRFRHy8LE9YGDB3LjBtGpCZKYu9eFE2fatWwLJlwOTJwKlTrsvTpg2wYQMQGwukp8tiqdaqkwVbaGgoOnTogE2bNv3pjwfWrFmDw4cPY9GiRbb7DAYDGgi%2BCuh0Ouh09oc///tfWS30R25hXEmJPImVXi%2BLFx%2BvvcZgsOyQHWSUfTbbKS%2BXfUDDLKjurk8kKNjy85WlASzFmiheaeVQUeG2xywkX2IqMxplsbVh1UlzVesyKR25MZtlsUoLlMxMeez588pynToFHBV8oc7JUZYnPb1GD3NKuOnupVZx3xNXnDR37lzs2bMHM2fOxJkzZ2A2m1FUVIRPP/0UKSkp0Ol06NKlC7766its374dFRUV%2BOmnn7B27VqMGjWqpmefiIiIyKZOjrABQOvWrbFt2zasXLkSkyZNQl5eHlQqFSIiIjBhwgSMGDECnp6eWLJkCRYtWoQZM2YgNDQU06dPR//%2B/Wt69omIiOoMjrA5r84WbIDlcOX06dMxffr0m04TFRV1wzloREREdPuwYHNenT0kSkRERFRX1OkRNiIiIqp5HGFzHkfYiIiIiNwcCzYiIiJyKeulYm73X3UoLS1FTEwMtmzZ8qfTHTlyBCNGjEBkZCSioqKwadMmu8c/%2BeQT9O3bFx07dsSwYcNwSHhJFhZsRERE5FK1tWA7efIkRo8ejcOHD//pdFeuXMHEiRMxZMgQ/PDDD5gzZw7mzZuHn3/%2BGQCQlpaG5ORkvPnmm/jhhx8waNAgPPPMMygtLXV4XliwEREREV1n3759eOqppzB06FA0bdr0T6fduXMnAgICMHr0aHh4eKBnz54YOHAg1q9fDwDYtGkTBgwYgM6dO0Or1WLcuHEIDAzE9u3bHZ4f/uiAiIiIXMpVo2G5ubnIy7NvMxgSEnJDB6Kq6PV6XLhwocrHQkJC0KZNG3zzzTfw8vLC%2B%2B%2B//6fPdfLkSbRu3druvlatWmHz5s0AgFOnTuGJJ5644fF0QfcNFmwu0LatbPrc3FykpKQiJiYGLVrceiP7Q3dZomu5UlNSEBMT49AGrZRdnrAwh%2BOaKcxlXX/NmkmWqYk4j22ZmjgeGxcnSmPLZV0m2esk6/mam5uL1NWrq2d7SFWyPMC1dsCiXNZ1Fxrq2mVavVrZMrlrrtzcXKxZozSPjzhX6sqV8lwHD8rzpKQgZtGianmdUlNSELNuXfXsX7/80uXLdLu4qud8SkqqXW9wAJgyZQoSExNvGXvkyBGMHTu2ysfeeecdPPzwww7PR3FxMXx87N8D3t7eKLnWAvJWjzuCh0TdQF5eHpYuXXrDt4TanIvLVDty1bU81ZmLy1Q7cnGZ6jbrjwEq/8XExDgU2717d/z6669V/kmKNQDw8fGB/rpm4Hq9HvXq1XPocUdwhI2IiIhqJZ1O5xajjK1bt8bevXvt7jt16hTCw8MBAOHh4Th58uQNjz/wwAMO5%2BAIGxEREZET%2Bvbti4sXL2LNmjUwGo3Yv38/tm7dajtvbfjw4di6dSv2798Po9GINWvW4NKlS%2Bjbt6/DOViwEREREQkNGDAAy5cvBwAEBgZi9erV%2BPLLL9G9e3fMmDEDM/5/e/ceVWP2/wH83Z3BdDFUTAx%2BTYWo6BjRPY1MuXQVSkRNfZOGMTH6jkuaMMstQiGiIqVENYgQRTWMSy7jOt3UQcelIp06%2B/eH7znjKOZin1On2a%2B1rKXnWM/7OT2pT8/e%2B7PDwvDFF18AAEaOHIklS5Zg6dKl4HA4yMrKwrZt26CmpvaX8xSWLl26VBJvhPl7unTpAg6H87fGs9t7FntPspHV0XKkmcXek2xksffEfKjp06fD4K0VhVOnTsXw4cNFH2tqasLV1RX%2B/v7w9vZu8e/19fUxbdo0fP3113B3d4eWltbfugY5QiS1doNhGIZhGIahgQ2JMgzDMAzDtHOsYGMYhmEYhmnnWMHGMAzDMAzTzrGCjWEYhmEYpp1jBRvDMAzDMEw7xwo2hmEYhmGYdo4VbAzDMAzDMO0cK9gYhmEYhmHaOVawMQzDMAzDtHOsYGMYhmEYhmnnWMHGMO3E48ePAQCNjY1ISkrCzz//3MZXJDtWrFjR6vHvvvtOyldCz/79%2B8HlcgEAGRkZSElJaeMrYhimLSm29QX8m/F4PBw6dAiVlZWYO3cuiouLYW1tTT3Hy8sLcnJyrb62e/du6nnScPfuXezduxfV1dUIDw9HVlYWpk2bJpGs/Px87NmzBw8fPkRMTAzi4uIwf/58KCrS%2B%2B%2BTkpKCiIgIXLp0CT/99BOys7MhJyeH%2B/fvIzAw8IPP/76vASFJfC1I8j5xuVycO3cOwOvP3%2BDBg8Ver62tRU5ODpWst%2B3fvx%2BWlpbQ1NRERkYGGhsb4ebmRu38UVFRSE9PB4fDAQB07doVP/74I549e4ZZs2ZRywGA4uJi/PDDDygvL0dzc7PYazdu3KCWU19fj5SUFPj4%2BODOnTtYtGgR1NXVER4eDk1NTWo50rRr1y4UFxdj8ODBmD59Oj766CPRa35%2BfoiNjaWSU1RUhI8//hj6%2BvrYvn07MjMzoaqqiilTpuDLL7%2BkksG0f6xgayPXrl3DjBkz0L9/f/z222/w9vbG3LlzsWTJEri4uFDNGjFihNjHT548wZEjR%2BDh4UE1Z9GiRe98LTIyklpOfn4%2BgoODYWVlhYKCAjQ0NCA6OhovXryAn58ftRwAOHz4MCIjI%2BHm5obi4mIAQG5uLuTk5Kg%2BvUlISEB0dDSam5uRlpaGbdu2oUePHvDy8qJSsL39NSANkr5P6urqSEhIAI/HQ2NjI6KiosReV1FRQVBQ0AfnvE0axVRqaioSExOho6MDALC1tYWuri6mT59OvWBbvnw5hg8fjrCwMCgpKVE995vCw8Nx48YN%2BPj4YOnSpejVqxdUVFSwdOlSbNmyRWK5krJp0yakp6djzJgxyMjIQE5ODuLj49GtWzcAwC%2B//EIlJzExEatXr4a8vDwmT56MrKwseHt749WrV1iyZAmamprw1VdfUcli2jnCtImpU6eSAwcOEEIIGT58OCGEkLy8POLg4CCV/JKSEuLt7U31nAsXLhT74%2B/vT4YOHUqWL19ONcfZ2ZmcOnWKEPLH5%2B7KlSvExsaGag4hhDg6OpJff/1VLOv%2B/fvE3Nycao6pqSkhhJALFy4QDocjOm5sbEw1R5qkeZ9mzpxJ/ZzvYm5uTsrKysSOlZaWEisrK2oZxsbGhM/nix1rbGwU%2B9qgxcTEhDQ3N1M/79usra3JkydPyNOnT4mBgQGprq4mDQ0Noq8NGgwNDYm%2Bvv57/9BiY2ND7ty5Qwgh5OXLl2TmzJlkxowZos8lrf%2B79vb25MqVK%2BTUqVNEX1%2BflJSUiF775ZdfiJOTE5Ucpv1jT9jayK1btzBhwgQAEA1VmZubIyQkRCr5gwYNQklJCdVztvYUraCgAElJSVRzSktLYWFhAeCPz52hoSGePXtGNQcAqqurMXToULGsvn374sWLF1RzVFVVUVpaiqNHj4qe3Jw/fx49evSgmgO8Hs4TDvGmp6dj5cqViIyMRJcuXajmSPM%2B7dixg/o536Wurg7a2tpix7S1tal%2BTQwaNAixsbFiT1fj4uKgr69PLUNIV1cXDx48wKeffkr93G%2Bqr6%2BHmpoajhw5Ah0dHWhqaqKxsfFPh%2Br/jvj4ePj6%2BiI4OBgDBw6kdt7WPH36FAMGDAAAdOrUCVFRUZg8eTLWrFmDBQsWgBBCJefhw4cwNDREc3Mz5OXlxb4GTExM8ODBAyo5TPvHCrY2oqGhgXv37kFXV1d07N69e/jkk0%2BoZ739H5rP5yMrK6vFDx1JMDMzQ3BwMNVz9urVCxcvXsSwYcNEx65evSqR9/PZZ5/hxIkTsLOzEx0rKChA3759qebMmDEDTk5OAIA9e/bgwoUL8Pf3x5IlS6jm7Nq1C3v37oWvry9Wr16NLl26gMvlIjIy8p0T9/8pad4nfX39d/7gpzkPC5BOMbVw4ULMnDkT%2B/fvh5aWFqqrq9HU1ITt27dTyzh48CAAYPDgwZg9ezY8PDygpqYm9m8mTpxILU9XVxebN29GXl4erK2tUVdXh/Xr12PQoEHUMoyNjfH9998jNTUVPj4%2B1M7bGh0dHZw%2BfRqWlpYAgC5dumDDhg1wd3fHgAEDqBWiPXv2xI0bN2BgYIDMzEyx144ePYrevXtTyWFkQFs/4vu3io%2BPJ9bW1iQ5OZkYGxuTrKws4ujoSHbs2EE9S09PT2xIQE9Pj3A4HHLs2DHqWW/i8/kkPT2djBkzhup5MzMziampKVm7di0xMjIisbGxxNzcnKSnp1PNIYSQ/Px8MnToUDJv3jwyZMgQsmTJEjJs2DDRUB9NZWVl5MGDB4QQQmpqasjVq1epZ9jb24uGcYTDsFwul5iZmVHPkuZ9KiwsFPvz888/kylTppDk5GTqWSUlJYTD4RBLS0vi4eFBLC0tyahRo8iNGzeo5jx9%2BpSkpaWRmJgYcujQIfL8%2BXOq57e2tn7vH9pD17dv3ybTpk0jvr6%2BpLa2lhQWFhJHR0dy7949qjmEvJ6eUV1dTf28bzpy5AgZOnQoWblypdjxU6dOkcGDBxMDAwMqOQkJCYTD4ZD6%2Bnqx4yEhIcTQ0JCcPHmSSg7T/skRQum5LfO3JSYmIikpCZWVldDU1ISHhwd8fHwgL0%2B320plZaXYxwoKCujevTv1CcatPeVQUFDA4sWL4enpSTXr9OnTSExMRGVlJbS0tODu7i6x1VI3b95EcnKyKMvV1RVDhgyhntPY2IjTp0%2BjsrISHh4eKC0tpT4ExuFwcP78ecjLy8PU1BTFxcVobm6GmZkZCgsLqWYB0r1Pb3v06BF8fHyQlZVF/dzPnj1Dbm4uHj16BG1tbVhZWYkmm3cUtbW1En1PhBCqw6Ft4dq1a6isrIS9vb3Y8cuXL2Pr1q3UFlOcPHmyRQeBXbt2gcPhSHzol2k/WMHGUFNYWCj2DVheXh59%2B/aVyDysjqasrAwzZ84En8/H8%2BfPkZaWBkdHR2zatIlqqxdvb284ODjA09MTHA4HRUVFOHz4MJKTk5GQkEAtpz149eoVRo0aRW21njS8b2hXiPYQr/Dr4G3Dhw%2Bn/rnLz89HQkICuFyuxFrknDlzBo2NjbC1tYWDgwMaGxsBAJqamoiPj6f6i6q0sqT5npj2i81hayPvaoGhpKQEDQ0NWFlZwcjI6IMypP3NX1qtI8rLy7F161ZUVlZCIBCIvUa7l9jVq1exZs2aVrNOnDhBLSciIgLOzs4ICAgAh8NBv379sGLFCkRFRVEt2EJDQ%2BHj44OMjAy8ePECs2fPxqVLl6jOjRKS5n0SzscS4vP5OHHiBAwMDKhlSOP/k7T6IpaWluKHH34AIQR1dXXw9vYWe72urg4ff/wx1czDhw/jxx9/hLu7u6hApN0ip6CgAMHBwaK5n1wuF//9739BCMGmTZtw4MABTJ48WaaypPmemPaNFWxtRElJCWlpabCzs4OOjg4ePHiAY8eOwczMDE%2BfPkV8fDwiIiIwbty4f5wh/Oafn5%2BPvLw8BAUFoU%2BfPqiqqkJ0dDRGjRpF5b3Y2Nj86Q8ymsXNvHnzoKSkhC%2B%2B%2BIL68PHbFi1aBF1dXTg5OUk069KlS9i4cSPk5OREn8sJEyYgIiKCas6gQYOQlZWFQ4cOwcDAAFpaWli2bBl69epFNQeQ7n16uwebgoICBgwYQHXRhjSKKeEK4Xfh8XhUcvr27Qt7e3vweDxcvHixRa6ysjJsbGyoZAnFxsZiy5YtMDIyQlJSEnr06IGYmBh4e3tTK9h27tyJZcuWYfz48QAARUVFTJo0CcDrJ/6pqanUihtpZUnzPTHtXJvNnvuXmzVrFsnJyRE7durUKeLv708IIeT8%2BfPE0dGRSpadnV2LCbgPHz4klpaWVM6flpZG0tLSSHh4OLGysiLx8fHk5MmTJCkpiYwZM6bFpNwPZWRkRF6%2BfEn1nO/LamxslHiOra0tqaysJIT8sRigurqa%2BsTvSZMmkdraWqrnfBdp3qf2oKamhtq5Ll%2B%2BTKZOnUrs7OyIjY0NsbGxIebm5mTQoEHUMoQksQikNcOHDycCgYAQ8sfXuEAgIMOGDaOWweFwyLNnz8Qyherq6qj2fJNWljTfE9O%2BsSdsbeTy5cuIiYkRO2Zubo758%2BcDeD28%2BPZigX%2BKx%2BO1GN5QUVFBbW0tlfMLf9vbuXMntm/fLupNBLxu6%2BHn54fQ0FAqWcDroanq6mp89tln1M75Lqamprhx44ZEFhm8ycnJCUFBQZg/fz4EAgGuXLmCn376iXoH84cPH1I93/tI8z4BQElJCVJTU1FZWYkePXrA2dkZw4cPp55z5coVrF69GlwuVzTUy%2BfzwePxqPU2XL58OXR0dKCrq4vy8nKMGjUKu3fvFn1/oOHNYeS3h5SFaLb1kEaLnMbGRrGFEm8%2Bee3SpUuLoXlZyHEykzwAABucSURBVJLme2LaN1awtRENDQ2cOXNG1MMHAM6dOyfqg1ReXg5VVVUqWaampggNDcWCBQugpaWF8vJyrFy5UiybhvLycvTp00fsmKamJvUiISwsDD4%2BPrC3t29RiNLeiigkJATe3t4YMWJEiyya220FBgaioaEBQUFBePnyJby9veHq6kr9/dja2sLb2xtffvklevbsKTaUTfOHMyDd%2B3T27FkEBgbCxsYGenp6KCsrw4wZM7Bu3TqxAoEGaRRTt2/fRkJCAioqKhAREYEZM2bA2NgYy5cvx4wZM6hkvD2M/DY5OTmqXxPffPMNAgMDYWtri1evXmHp0qXIzMzEmjVrqGVoaGjg999/R79%2B/QAAI0eOFL32%2B%2B%2B/U%2B1zKa0sab4npn1jBVsbmTNnDoKCgmBvb49PP/0UFRUVOH78OJYtW4Z79%2B5h%2BvTp1DbJDg8PR0hICMaMGSP6AW1mZoalS5dSOb/Q4MGDsWrVKnz33XdQVlbGy5cvsWLFCrHGqTRs3LgRL168wLVr18TmRkmiRUBERAS6d%2B9OfReAtx07dgwhISEIDQ0Fj8eDurq6RN7PmTNnAADJyclix2n/cAake5%2BioqKwatUqODg4iI79/PPP2Lx5M/WCTRrF1Mcff4xOnTpBR0cHt2/fBgAYGRlRe%2BoOvJ7wL01mZmbYt28fkpOTMWLECAgEAsTFxVF9em1ubo4dO3a02gQ6Li4OVlZWMpclzffEtG%2BsrUcbunTpEg4cOIDq6mr06tUL7u7u0NPTQ0VFBe7cuUP9B82DBw/A5XKhpaUlkW7z9%2B7dg7%2B/P6qqqqCuro4nT56gX79%2BiI2NpZpnbGyMnJwcqfxmaWRkhPz8fIkXbBwOB/n5%2BR1qeb4075OpqSkKCwvFCkOBQIDhw4fj4sWLVLPMzc1x5swZvHr1Cra2tjh79iyA19MYaPWymz59OsaOHQtPT0/Y29tjw4YNUFZWxtSpU3H%2B/HkqGW8qLy8Hl8sVbafE5/Nx69Yt6rsF5OfnY%2BDAgVBXV8fp06ehpKQEMzMzauevqqrC%2BPHjYW5ujsmTJ0NTUxNcLhcpKSnIy8tDVlYWta9HaWVJ8z0x7Rt7wtZGysrKsHfvXtE8mPv372PFihW4f/8%2Bzp8/T33eD4/Hw7Fjx1BZWYm5c%2Be22ojxQ/Xv3x8///wzfv31V1FhaGJiQn2FYM%2BePaGiokL1nO/St29f1NfXS7xgMzQ0RHZ2tmh/WUn65ZdfUFlZ2WKvQ9pP2KR5n9TU1HDr1i2xRsM3b96USA/A/v37Y%2B/evfD09MRHH32EGzduQFlZmeqTw7lz5yIgIACjRo2Cr68v3N3doaCgQL0BNQDExMRg3bp1ousn/2toa2BgQLVgS0xMxLp165CUlAR1dXXU1NRg5cqV%2BP7776l97WlrayMxMRE//PADvL29IScnB0IIDA0NkZCQQLWwkVaWNN8T076xJ2xtxMvLC4QQqKurg8fjwcDAAAcPHoSPjw/1%2BT3Xrl3DjBkz0L9/f/z22284dOgQvvrqKyxZsgQuLi5Us6TRrX///v04fPgwvL29oaqqKvaD0tTUlGrWrl27kJqaChcXF6ipqUlszpeLiwuuXbsGZWVlfPLJJ2I5NFuiLFmyBKmpqS3mr8nJyVHNAaR7n2JjY7F37174%2B/vj008/RVlZGbZt24YpU6Zg9uzZVLMuXryIgIAApKSk4Ny5c1ixYoWomPrQxTWurq6wsbGBtbU1BgwYACUlJcjJyeHy5cuoq6uj1ornTZaWlli8eDGUlZWRm5uLefPmITw8HNra2vj222%2Bp5djZ2WHDhg1ie4eWlJRg/vz5OHr0KLUcIS6Xi%2BrqavTo0UMibWvaIkua74lpf1jB1kaMjY1x6tQpPHjwAOvXr0dMTAzy8vIQExODxMREqlnTpk2Ds7MznJ2dRdsRnTlzBpGRkcjOzqaWI61u/e8qAOXk5Kh3gX9XLyraBU56evo7XxOuwqXB1NQUO3fuxODBg6md812keZ/I/5qIpqWl4fHjx%2Bjduzfc3NwwY8YM6k946%2BvrceHCBTx//hzdu3eHoqIiGhsbqRRT69evx/nz53H16lX06NED1tbWsLa2xhdffAFlZWUKV9%2BSsbExfv31V1RXVyMwMBBpaWng8XhwdXWlOs/N2NgYFy5caDFszeFwZGo3CoZpM23RS4QhZOTIkYSQ1310rKysRMe/%2BOIL6lmmpqakqalJ9HchExMTqjl%2Bfn4kOjqaCAQCUW%2BgtLQ0MnHiRKo5zD9nbW1NXr161daXIbO2bdtGhg4dSvT19Ymenh7R09MjJiYmJCEhgWpObW0tycnJIcuWLSNffvklMTY2JkFBQSQtLY1qDiGE2Nvbk9raWiIQCIipqamoVxrt7w%2Burq4trv/gwYPEzc2Nag7DdFRsDlsb6dOnD06fPg1LS0sIBAKUl5dDWVkZTU1N1LM0NDRw79496Orqio7du3eP%2BtwHSXfrr66uhpaWFh48ePDOf0NrmODChQsYNmwYiouLW31dTk6Oao8vLy%2Bvd86BotlhPyAgAIsXL4avr2%2BLVhu0PnfSvE9ChBDs3r0bycnJoj5srq6u8Pf3pza3LCUlBVu3bsXixYthZWUlmoeVm5uLdevW4ZNPPqG2sX3Xrl1hZ2cHOzs7PH36FBkZGYiPj8fx48epPnEFXj91DQ4Oxvr16zFw4ECsXbsWKioq0NTUpJoTEhKCgIAA7N%2B/H7169UJVVRWuX7%2BO2NhYqjkM01Gxgq2N%2BPn5ITg4GJmZmfDw8MDkyZOhoKAAW1tb6llTpkyBv78/vv76azQ1NSE7OxtbtmyBh4cH1Zxu3brh8ePHYj%2BMHz16RK2f3Lhx43Dx4kXRVljkf6P5wr/THGqbPXs2Ll68CC8vr1Zfpz2s9/Y%2BrE%2BePMGRI0eo36NXr14hOzsbmZmZomO0P3fSvE9Cu3fvxs6dO%2BHn5yeaw7Z9%2B3bIy8vDz8%2BPSkZSUhIiIyMxZswY0TFNTU14enpCVVUVe/bsoVaw3b9/H8ePH8eJEydQUlICXV1dTJw4USLfHxYuXIg1a9agqakJ33//PUJCQlBbW4uVK1dSzRk1ahQyMjKQlZWFR48ewcLCAqtWrYKOjg7VHIbpqNgctjbE5XJFc2Cys7NRV1eHiRMnSmSuSmJiIpKSklBZWQlNTU14eHjAx8eH6vyeDRs24PTp05g/fz7mzp2LuLg4/PTTTzA2Nsa8efM%2B%2BPxVVVXQ1tZ%2Bby%2Bq3r17f3BOe3Ht2jWsXr0a8fHx1M5pZmaGOXPmYPTo0S3uPa3PXVvcJwcHB6xZswYDBw4UHbt%2B/TrmzJlDba6hsbExiouLoajY8vfcxsZGWFlZoaCg4IMy1q1bh5ycHJSXl8PU1BQ2NjawsbFhE8wZhmFz2Bh6GhsbycqVK4mRkRHR09MjQ4cOJeHh4dTnTH399detHp86dSrVHEIImTBhQqvHra2tqWe1hvY8Ig6HQ/V87yPN%2B2RiYkKam5vFjjU3N1P9/BkbG3/Q63%2BFnp4e8fT0JJcvX/7gc/0dZ8%2BeJf7%2B/mTSpEnk4cOHZOXKlYTP51PNuHXrFpk1a5bY/qjCPwzD/Dk2JNqBbdq06U//DY0WIr6%2BvtixYweUlJQQGhqK4OBgvHz5kmq3/oqKCtF%2Bh2fPnm3x3urq6vDbb79RySorK8OWLVsAAHfu3MGiRYtaZDU0NFDJEnp7vhefz0dWVhb1BsfOzs7YvXs3vL29qZ5XSJr36U19%2B/ZFTk6O2JBkTk4O1X0qpWHVqlU4ceIEfHx8oKmpCVtbW9ja2sLY2FhimYcPH0ZkZCTc3NxEczZzc3MhJyeH7777jlrODz/8gM6dO8PPz6/Vp5QMw7wf%2B1/TgW3atAndunWDgYFBiyapAL0tgn799Vexjy0tLVFUVETl3EK9evXC7du3wePx0Nzc3KKjvIqKCpYsWUIlq0%2BfPqKdGlqjoaGBdevWUckSEs73EiKEQFVVtdXtaD7ElStXsHPnTmzYsKFFbzQaQ4fSvE9vCgwMREhICI4cOQIdHR2UlpYiNzf3T/fL/DuampreuUk6ADQ3N39wxoQJEzBhwgQ0NjYiPz8fJ06cEP1SZW1tDVtbW%2BoNr2NjY7F582YYGRkhKSkJPXr0QExMDLy9vakWbL/99hvy8vLQtWtXaudkmH8TNoetA9u5cyfS0tLA5/Ph5uaGiRMnonv37tRzTExMxLb/EfZ6k5SwsDDqhcy7bNmyBQEBARLPeXu%2Bl4KCArp37059qypp9XsDpHufAKCwsBBpaWmoqalB79694eLiQnWfynf15HuTJPbnbG5uxsGDB7F161ZUVFRQX7BhamqKoqIiyMnJgcPhoKioCIQQmJqaUu2PNnbsWCQlJUFDQ4PaORnm34QVbP8CV65cwYEDB3Ds2DGYmJjAzc0NFhYW1BYcvF2wCb/p0/a%2BNhFCtCdn29jYiJoOd%2BSJ301NTRIZppLGzhcAWqxIBV4/QVZSUoKGhgasra3h6%2BtLvYmupAi3qDt//jyKioogLy8Pc3NzWFpaim1wT4Obmxv8/f1hZ2cn%2Br%2Bbn5%2BPtWvX4sCBA9RyEhISkJWVBW9v7xYthWjvfMEwHREr2P5FGhoacOTIEaSnp%2BP333/HhAkTqKzelFbBpq%2BvL7bfoZAk20UcOXIEBw8exNmzZzF8%2BHC4uLjA3t6e2h6Zb76nd6H5nsrKyhAdHS3awxZ4PV9OWCDQJK2dLwBg69at2L9/P2bNmgUdHR1UVlYiLi4Oo0ePRv/%2B/ZGUlAQHBwfMmTOHai5tCxYsQFFRER49egR9fX1YWVnBysoKhoaGVPcqfVNBQQECAwNha2uLnJwcODs74/Dhw1i7di0sLS2p5Uhz5wuG6YhYwfYvU19fj%2BzsbMTHx6OsrAxXrlz54HMOGTIEy5cvF328bNmyFvOUaOy7%2Bb42EUKSautRU1ODQ4cOITs7G6WlpRg3bhxcXFxgaGj4QectLCz80x/EHA7ngzLe9OYetjU1NRg4cKDE9rD19/fH0KFDERAQAA6Hg%2BLiYqSnp2P37t3vHZr9JyZNmoTVq1e3aA797bffIi0tDRUVFfDy8sLJkyep5tIWFBQEKysrWFpaSmTj%2Bne5efOmqOmwlpYWXF1dqQ4nMwzz4VjB9i9RUFCAAwcOIDc3F/369YOzszMcHR2hpqb2wef%2Bs7k9kthYHHjdZ6uiogJWVlaora2VyPy8N/F4PBw9ehT79%2B/HnTt30K1bN2hpaSEiIgIGBgYSzaZFmnvYjhgxAmfOnIGysrLoqauk9o40MTFBYWGh2Jw/Pp8PDocjWhQzbNgwXLhwgWpuR/Dw4UNER0ejvLwcfD5f7BcImrtsANIbImeYjoitEu3Afv/9d6SnpyMjIwN8Ph%2BOjo7Yt28f9PT0qOZIYqL1%2B9TU1OA///kPSkpKoKSkhNTUVLi6uiIuLo56%2B4PGxkacOHECGRkZOHv2LHR1dTFp0iQ4OTlBVVUVmzZtQlBQ0D8uSJ2cnHD48OEWq0TfRLPY7dy5M1RVVaGoqIhbt24BACwsLBAaGkotQ0jSO1%2B8SV9fHzExMWJPCePi4vB///d/AIC8vLwO1VSZptDQUDx79gzm5ubUF7m86e0hcktLS7i4uEhkiJxhOiJWsHVgDg4OUFdXh5OTE6ysrKCoqIjnz5%2BLreCUxcm%2BP/74Iz7//HPs3LkTFhYWGDBgAPz8/LB69Wrs3buXapaZmRkUFBTg6OiI5ORkDBo0SOz1cePGvbfVw58RbpskrblV0tzD1snJCUFBQZg/fz4EAgGuXLmCn376CV999RX1rLCwMMyePRspKSnQ1tZGVVUVBAIBtmzZgosXL%2BI///kPNmzYQD23I7h06RLy8vLQrVs3ieZERETA2dlZNETer18/rFixAlFRUaxgY5i/gA2JdmB/NtQgq5N9R40ahePHj6Nz586ioTY%2Bnw8zMzPq7USys7NhZ2cnke3C/gpaqzeFRdrJkycREhKCzMxMHD58GImJiVBQUMDIkSOxatUqClf8Bz6fj7Vr12Lfvn14%2BfIlOnXqBBcXF4SGhkrk81lXV4eTJ0%2BiqqoKvXv3ho2NDTp37oynT5%2BiublZ4kPmsmrcuHFISUlBly5dJJojzSFyhumI2BO2DuzmzZttfQkSoaSkhIaGBnTu3Fm0WrS%2Bvp7qDxxh4dejRw9cvny51X9D8%2BmkpFdvfvvttyguLkZkZCSOHTuG7t27IzAwEJ999hnq6uqo92ADINr5IjQ0FDwej%2BrOF63p2rUrnJycWhynMU%2BzIxK2yRk/fjwWLVqEgICAFsPVNFvZSHOInGE6IlawMTLHxsYGCxYsQFhYGOTk5FBTU4MVK1ZQbUHg5eUFQHw3CFVVVdTW1kIgEEBNTQ3nzp2jlrd48eJ3rt6kQUlJCREREaiqqkJqamqLnS/env9Fy927d7F3715UV1cjPDwcWVlZmDZtGvUc5u97u3fdsWPHxNrm0H4CL80hcobpiFjBxsic%2BfPnY9GiRRg7diwAYPTo0bC0tBRrLfKhhE8nd%2BzYgVu3biEsLAzdunXDixcvsHLlSupPBUpKSsRWb4aFhcHCwoJaIfXf//4XKSkpEAgErT6xk8STr/z8fMyZMwfW1tYoKChAQ0MDoqOj8eLFC9HcPabtSGLl9vsEBgaioaEBQUFBePnyJby8vODq6iqRXxQYpiNic9gYmcXj8VBRUQEtLS307NlTIhlmZmbIzc1Fp06dRMdevXoFCwuLFvtkfmhOQUEB6uvr4ejoKOoXNnLkSKpP8tzc3JCSkkLtfO/j4uKC4OBgWFpairYru3r1KkJCQqReLDDtizSGyBmmo5GNfVoY5g1OTk6Ij4%2BHvLw8hgwZIrFiDQAEAgFqamrEjlVUVEBBQYFqjnD1ZpcuXUSrN7lcLvXVm9Iq1gCgtLQUFhYWAP54gmdoaIhnz55J7RqY9qO%2Bvh67du0C8Lpgc3d3h7%2B/P7hcbtteGMPICFawMTLH09MTWVlZsLCwQEhICM6ePSuxrAkTJsDX1xepqanIz8/Hvn374O/vj8mTJ1M5/%2BnTpwG83hUgODgY5eXl8PDwwOTJk%2BHm5vaXNhxvr3r16iW2ZRkAXL16Fdra2m10RUxbCg8PF%2B1wsXTpUvTq1QuqqqpYunRp214Yw8gINiTKyKy7d%2B8iLS0NmZmZUFBQgLOzM/X5ME1NTYiOjsahQ4fA5XKhra0NNzc3zJ49m8pwjnCo0N7eHnv27EH37t2hqKiI7Oxs0epNSTYzlaSsrCwsW7YMnp6e2L17NwIDA7Fnzx7MmzePylZljGyxsbFBWloa5OTkMHLkSJw8eRJqamoYPXo09XY8DNMRsYKNkWkvX77EsWPHsGHDBjx58kS0DZGsMDMzw1dffYV9%2B/bh66%2B/brF6E4BMT8o%2Bffo0EhMTRXtUuru748svv2zry2LawIgRI1BYWIgjR45g3bp1OHr0KBobGzF69GgUFRW19eUxTLvHVokyMuncuXM4ePAgcnJy8Nlnn8HX1xfjx4%2BnnrNp06Z3viarqzelJTw8HN988w3VdiuM7NLV1cXmzZuRl5cHa2tr1NXVYf369S12D2EYpnXsCRsjcywtLVFfX49x48bB3d0dgwcPlliWsB%2Bb0NOnT3H37l2MHTsWa9eupZYjzdWb0sLhcFBQUEBlpwZG9t25cwfLli2DiooK1q9fj%2BvXryM8PBxRUVHo169fW18ew7R7rGBjZM6BAwcwbtw4dO7cuU3yMzIyUFhYiB9//LFN8mXFqlWrUF9fj0mTJqFnz55iTwtpdtBnGIb5N2AFGyOThG0vhF%2B%2BfD4ft27dorYzwJ8RzsdhWhLuW/quvWxldQ9b5sMdOnQIGRkZePjwIXr37g1PT082ZM4wfxEbq2BkTkxMDNatW9diGx0DAwOpFGxFRUX46KOPJJ4jq4T7lsrLy%2BP48eOtLqRg/n127NiBbdu2wcPDA9ra2igvL8eCBQsQGhoKFxeXtr48hmn3WMHGyJykpCRERUVBWVkZubm5mDdvHsLDwyXS30u436IQn8/H48ePERAQQD2roxDuW6qgoIC0tLRW/40sr3xl/pnk5GTs2LFDbJGBnZ0dFi5cyAo2hvkLWMHGyJznz5/D3t4e1dXViIqKgpqaGhYvXgxXV1d8%2B%2B23VLPmzJkj9rG8vDwGDBgg0YUOsu7Nla%2BtDRvL8spX5p%2Brr6/H559/LnZs0KBBePToURtdEcPIFlawMTKnZ8%2BeqKurg6amJioqKkAIgYaGhkS2POLxePD19W1xfP369QgJCaGe1xE4ODjAwcEBbm5u2LNnT1tfDtNOjB8/Hhs3bsQ333wjKtrj4uIwbty4Nr4yhpENrGBjZI6pqSmCg4Oxfv16DBw4EGvXroWKigo0NTWpnJ/H4%2BHu3bsAgI0bN2Lo0KFi87Bqa2sRHx/PCrY/0dHalDD/jHBaQVNTE7hcLlJTU6GlpYVHjx7h0aNH71ycwjCMOFawMTJn4cKFWLNmDZqamrB48WLMnTsXdXV1iIyMpHJ%2BZWVlBAcH48mTJwCAadOmtXjdw8ODShbDdHRvTyt4W1NTk5SuhGFkG2vrwcic7du3w9PTE126dJF41tixY5GVlQUFBQUQQpCXlwd1dXUMGTJE4tkM05GUlpZi8%2BbN4HK5EAgEAF4v4rl//36ru3wwDCNOvq0vgGH%2BrtjYWHTq1EkqWd999x3Mzc0BAFu3bsWcOXPg5eWF/fv3SyWfYTqKsLAwVFZWolu3bmhubsbnn3%2BO27dvt3iCzTBM61jBxsgcc3NzbNu2DQ8fPpR41pYtWzB37lwIBALs3r0bGzduRGJiIrZt2ybxbIbpSK5evYro6GgEBgaia9euCAsLw9q1a3Hu3Lm2vjSGkQlsDhsjcy5cuICsrCxs2LBBdIwQAnl5eVy/fp1qVllZGTw8PHD9%2BnU0NDRg1KhRUFRUxOPHj6nmMExH99FHH0FVVRWKioq4desWAMDCwgKhoaFtfGUMIxtYwcbInG7dumH16tVixwghEvnG37lzZ9TU1CA3NxfDhg2DoqIibt68CXV1depZDNOR9enTR7RtmUAgQHl5OZSVldmiA4b5i1jBxsgELpcrGjopKyvDgwcPxF6vra2VSB82FxcXTJw4Ec%2BfP0dUVBRKSkowa9YszJw5k3oWw3Rkfn5%2BCA4ORmZmJjw8PDB58mQoKCjA1ta2rS%2BNYWQCWyXKyITGxkZMmTIFPB4PVVVVLbahUlFRgaura6tNbj9UYWEhVFRUYGRkhKqqKly9ehX29vbUcximo%2BNyuejevTsUFRWRnZ2Nuro6TJw4EcrKym19aQzT7rGCjZE5vr6%2B2LFjR1tfBsMwDMNIDSvYGIZhGIZh2jnW1oNhGIZhGKadYwUbwzAMwzBMO8cKNoZhGIZhmHaOFWwMwzAMwzDtHCvYGIZhGIZh2jlWsDEMwzAMw7RzrGBjGIZhGIZp5/4fi9u0Ln9QOhcAAAAASUVORK5CYII%3D\" class=\"center-img\">\n",
       "    <img 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Mt3/i8s7Mz9erVMz9fGmTiXHtQnfG8fn04cQIaNoQzZ6yudvSI%2BlCrszM0aACnTsH1LEBW0SuG9s7Ops06c0atnUCPWLWGAAwGqFEDLl4ElbyO1aqptaPTgasrZGeDyjD33r1q7QC4uUFIiKnutWvW1wsJUWtH6za5uam1YwvV%2B0CcnMDfH86dg7w86%2Bt5eKi1YzCAjw8kJqodd6D2moJpm2rXhvPnlbYpybO%2BUjN6PXh5QUoKFMk2ZpWql4%2BpVdB4krjqF6jUjE4HlSpBWpraIQ4Qq3g6cnaGgAA4flztvKfaL2dnCAyEY8fU2gFo2lStfKmxUyaQqMhI5syZY7Fs1KhRjB492qr6Pj4%2BVpXLyMjA3d3dYpmbmxuZmZlWPV8aJGBzBF5eppO/l5fdmzIYTO8bg0H9ja5Crze1oxro2dyYvRNxl1X6oaIvlL2V1TbpdOqfTFqU1cGn0/3zz97KaJvKcpPuxDbZ%2B/Arq/NrWbVTHkRERBAaGmqxzNogTIW7uzvXbviide3aNXNe5ts9XxokYBNCCCGEfdkpMPf19cXX19cu6y4qICCAw4cPWyw7efIkTZo0AaBhw4acOHGCdu3aAZCbm8vZs2eLXUa1hdzDJoQQQgj70uvt86%2BM9OjRgz179rBlyxby8vLYsmULe/bs4amnngKgV69eLFu2jOjoaLKzs5k5cybVqlUjRPU2lVuQgE0IIYQQ4gZBQUFs2LABgAYNGjB37lw%2B/fRTHnzwQebNm8fs2bOpX990n2h4eDiDBw9m5MiRPPTQQxw5coRPP/0UZ2fnUuuPXBIVQgghhH2V4WiYVseOWf5w5sCBAxZ/t2nThjZt2pRYV6fTMWTIEIYMGWK3/jn%2BHhRCCCGEuMvJCJsQQggh7KscjLA5OgnYhBBCCGFfErDZTPagEEIIIYSDkxE2IYQQQtiXjLDZ7F8RsP3888989tlnxMTEkJmZSdOmTfnggw%2BoV68emzdvJjIykqSkJJo1a0bNmjXJzc1l6tSpGI1Gli5dyvLly0lKSiIgIIAJEyaYJ8ITQgghhHAE5T5gu3TpEmPHjuXjjz8mNDSU5ORkRo0axdy5c%2Bnbty%2BvvvoqkZGRPPbYY2zbto2XX36Z7t27A7BixQo%2B//xz5s%2BfT4MGDVi/fj3PPfccW7dupZqVeSYTEhJITEy0WOZTvz6%2BKmmmGjWyfLSSlnSOLi6Wj9ZSTVWjtR20zFnj5GT5aC3VjSosr1pPS2qSwpx0N%2BSmu62y2qaypHoQFR5DqseS6vGj9biDMtsm1cxmheU1ZURzdVUrr/EkoTpQU1heywCP6jm2cBeo7grVlFla21FNYVuqZITNZjqjsSyS%2B9lPTk4Oly5dwt/fn/T0dGJjY5k7dy6pqan4%2B/uTmZnJRx99ZC4/duxY3N3dmTp1Kl26dGHgwIE888wz5uefeeYZnnjiCavnUpk9e3bxxLMjRjB67NjS2UAhhBCiFBw6dAeTv3t722e9ycn2Wa8DKvcjbM7OzmzatImVK1ei0%2BkICAggPT0dJycnLl68SOPGjS3K16lTh8uXLwMQFxfHtGnTmDFjhvn5vLw8pUuiJSae7d4dvvjC%2Bo1o1AhWrIC%2BfSE62upqZ9bst76N61xcoFYtiIuDnBzr62kZYatZEy5cUGunntsltYbANMJRrRpcvgx5edbXUxkFBdNOcHWF7Gy1r8RHjqi1A6aRtfvug6NHISvL%2Bno3HO%2B3pXWbVL/aF7al5fvh%2BfNq5Z2dwc8PLl1Sy4ytOpzi5GT6EEpOVjvuQO1NAaZt8vWFhASlbUqpUEupGYMBKlWCtDTIz1frolfKWbUKGk8SaVXrKTWj15sGuTMyoKBArYvx8WrlXV2hTh2IjTW9paylZYTN3x/OnVNrR5Rv5T5g27p1K8uWLeOrr76ibt26AEycOJHjx49Tq1YtLly4YFH%2BwoULuFwfgvfz82PMmDF07drV/Py5c%2BfwUvggLzHx7Jkz2jYmOhpumFn5VmwZ3s7JUauvdTQ7J0fxhGJQ%2BIC9UV6e2ge01sFlo1GtbkaGtnbAFKyp1C%2BrbSpLqsFNodxctbpaLm2C6bizd8BWSHGb8jXcNgGmYE01YNMcOSieJFSDrqL1VOtqPcdmZ6vV1frWU23njpJLojYr93swLS0NvV6Pm5sbRqORHTt28M0335Cbm0vv3r354Ycf2LlzJ/n5%2BWzfvp3vv//eXLdPnz7Mnz%2BfU6dOAbBz5066du3KH3/8cac2RwghhBCimHI/wvb000%2Bzb98%2BunbtisFg4J577mHQoEEsX76cwMBA3nvvPd59912Sk5MJCQnh4YcfNidjHTx4MEajkREjRpCQkED16tV5%2B%2B23ad%2B%2B/R3eKiGEEOJfREbYbFbuAzYXFxc%2B/PDDYsvHjBnDmTNneOCBB/jpp5/My0ePHk2VKlUAMBgMDB06lKFDh5ZZf4UQQoi7jgRsNvtX78GTJ08yaNAgzp07B8Du3bvZuXMnbdu2vcM9E0IIIYSwXrkfYbuVjh07cvLkSQYOHMjVq1epVasWEydOJDg4%2BE53TQghhLh7yAibzf7VARvA8OHDGT58%2BJ3uhhBCCCGEZv/6gE0IIYQQd5iMsNlMAjYhhBBC2JcEbDaTPSiEEEII4eBkhM0Ojh5Rm7bazQ3qY0o1pTJr9X2NNSTsDgqC/fup3ytYKasCAweqtVO3Lrz/PvUWvw0xMVZXO/GmQkqv61yN4A%2Bcy/FTmmy94TXFHHQGg%2BnFyslRmgZ%2Be0EbtXaAikZoAewzBpOuMDt7WxfV6emvU02UrjpTv05nSkWUm6s%2Brfv1aXisVpi5vHJlten6K1ZUa6eQaoozID1bbX/r9eABZHrXUpqt30MxiXthCjo3Nw2z73t6qpUvzCxRoYJSqrPKxxUnNvfwgPvvp9K5w5CZqVS1smoagQoVgGDuTd2vlqFENcuGsQLwAA2z/tKQSeVhxfKlREbYbCZ7UAghhBDCwckImxBCCCHsS0bYbCYBmxBCCCHsSwI2m8keFEIIIYRwcDLCJoQQQgj7khE2m0nAJoQQQgj7koDNZrIHhRBCCCEcnIywCSGEEMK%2BZITNZrIHhRBCCCEcnIywCSGEEMK%2BZITNZg65BwMDAwkMDOT06dPFnvv8888JDAxk9uzZmta9e/duAgMDbe2iEEIIIayl19vn313EYbfW29ubdevWFVu%2Bdu1aKmrN%2BSeEEEIIUQ457CXR7t27s379esaNG4f%2BehT9119/kZOTQ%2BPGjc3ljEYjS5cuZfny5SQlJREQEMCECRNo0qQJAAkJCbz99tvs2bMHb29vunbtaq57/vx52rdvz08//UTt2rUBmD17Nnv27GHp0qVW9TMhIYHExESLZRkZPvj4%2BFq9rS4ulo9WCwpSrAA0amT5aK26ddXK16hh%2BWglhRzQZoV5y1Xzl5uThFur8Nuc4rc6Ld8v3N0tHx1OYZZw1fKq9aDMXqeypNq1ortPpW5ZvkzKCcwLy6vW8/BQK%2B/mZvmoQvXY0/rGVd0HWttRThRfihz4/VheOGzA9vjjj7Np0yZ%2B%2B%2B03WrduDcDq1asJDw9nx44d5nIrVqzg888/Z/78%2BTRo0ID169fz3HPPsXXrVqpVq8a4cePw9vZmx44dpKWlMXz48FLtZ1RUFHPmzLFYNnLkKMaMGa28rlq1FCvs36/chtmKFdrrqlDc3/42NKUYGwKe2hpSjMBatNDWDECR7yZWUvyAMVdTrKdavpByVI2GbzLXldVIvIZt8tCwG6DsAngtX5xw89HWmLe3Wnkfje00aKCtnhb33Vc27TRsqFb%2B99/t0w9RJhw2YHNycqJ79%2B6sW7eO1q1bc%2B3aNb777js2bdpkEbAtX76cF198kUbXR4zCw8NZvXo1GzZsoFOnTuzdu5fvvvuOihUrUrFiRUaNGsXIkSNLrZ8RERGEhoZaLMvI8OHMGevX4eJiCtbi4iAnx/p69XsFW1%2B4UKNGpmCtb1%2BIjra%2BXrduau3UqGEK1ubPh4sXra52buj7au1g%2BrysUcPUTG6u9fX8vVLVGtLrTUFAejoUFFhdbd8J9cDQ3d0UrB05AllZ1tdr0TxfuS0MBshXrKdaXqczvVC5uWA0qtW9dk2tvMbXSVM0VLhNijJz1SI2nc7Uvawstd2nZSTP1RWys9VfJre0xNsXKsrJyRSsJSdDXp719RISFDvmZgrWTp1SP5ays9XKu7ubgrWjR9XeuFpG2Bo2hBMn1Nq5k2SEzWYOG7ABhIWFERERQXp6Oj/%2B%2BCPBwcH43PDtKi4ujmnTpjFjxgzzsry8PJo0aUJ8fDwANWvWND/n72/LGE5xvr6%2B%2BPpaXv48elT9vACmYE2p3oED6o0Uio5Wq9%2B0qbZ2Ll6EmBiri6ueH4vKzVWsrxp0FCooUKqbnq6tGTCdi22pbzeqn%2BZF66nWLaPXqSypxJHwz2ed0ahWV9OlTbS9TEpB1431VOpmZmpr59o19bpaTuRgeuOqXH5UDdi0tnMnScBmM4cO2Bo1asQ999zD1q1b2bhxI4MGDSpWxs/PjzFjxljcm3bu3Dm8vLxIv/5JFxsbS4Prw%2BGXLl0ylzNcv6yTW%2BQbcnJysl22RQghhBBCK4cPecPCwliyZAlnzpyhbdu2xZ7v06cP8%2BfP59SpUwDs3LmTrl278scff1CzZk1at27NlClTuHr1KomJiRb3m1WtWpXKlSuzefNmjEYjhw8f5ttvvy2zbRNCCCHuCjKth80cfmu7detGTEwMPXr0wKmEYePBgwfTs2dPRowYQVBQEJMmTeLtt9%2Bmffv2AMycOZNKlSrRrl07evXqxSOPPGKu6%2BLiwsSJE9m6dSvBwcFMnTqVPn36lNm2CSGEEEJYwyEviR47dsz8f29vb/7%2B%2B2%2BL54tOuWEwGBg6dChDhw4tcV1eXl7MmjXLYtnLL79s/n%2BnTp3o1KlTaXRbCCGEECW5y0bD7MEhAzYhhBBC/ItIwGYz2YNCCCGEEA5ORtiEEEIIYV8ywmYzCdiEEEIIcVdKSkrirbfeYs%2BePRgMBnr06MGrr75a7EeOQ4cOZd%2B%2BfRbLMjMziYiI4P333%2Bfy5cs8%2BuijeBRJnebt7c3PP/9can2VgE0IIYQQ9uWgI2wvv/wy1atXZ%2BfOnVy%2BfJnhw4ezZMmSYj9kXLhwocXfq1evZs6cOYwaNQqAQ4cOUatWrVIN0G4kAZsQQggh7MtOAVtCQgKJiZZp0Xx8fIplICpJTEwMe/bsYceOHbi7u1OnTh1GjBjB9OnTbzrzBMDp06eZOHEiixYtMrdz6NAhmjRpYtvG3IYEbHagJX9f4aNS3YED1RoCqFvX9Nitm1q6qS%2B/VGsnKAjefx82bVJKgVUw4Qu1dvgnVU9BgWLKH63JwRVzTmo5T2k%2BJspIrl49O7gzkKtzAcV0Sc5OCgl24Z8dZjCo5WbSmh5IQz13ja%2BpalJ2Q4F6nlNwxs2goZ6fn4a2gGrV1MoXyVZjlesZbTAY1F8r1XNE4bnBw0Pt2HNWyy2Lm9s/7TjiCaIMRUVFWUyIDzBq1ChGjx5927onTpzAy8uL6tWrm5c1aNCACxcukJqaiqdnyXmg33vvPXr27ElISIh52aFDh7h69SrdunXj8uXLNG3alFdffZV7771X45YVJwGbEEIIIezLToFlREQEoaGhFstuzDl%2BMxkZGbjf8AW88O/MzMwSA7a9e/fy559/WuQvB/D09OTee%2B9l2LBhuLi48PHHH/Pcc8%2BxZcsWKlWqpLJJNyUBmxBCCCHKJV9fX6suf5bEw8ODrKwsi2WFf1eoUKHEOlFRUXTu3LlYUDhz5kyLv19//XXWrFnD3r17adeunab%2B3ejuHksVQgghhP05YC7Rhg0bkpKSwuXLl83LTp06hZ%2BfX4mjYnl5efz000/06NHDYnl6ejrTpk0jLi7OvCw/P5%2B8vDzcCi9flwIJ2IQQQghhXw4YsNWrV48WLVowefJk0tPTiY2NZd68eYSHh5dY/tixY2RnZxMcHGyxvGLFivz2229MmzaNtLQ0MjIymDhxIrVr17a4z81WErAJIYQQ4q4UGRlJXl4e7du3p0%2BfPrRp04YRI0YAEBQUxIYNG8xlY2NjqVy5Mq4l/Ppn3rx5FBQU0KFDB9q0aUNiYiILFizAWfUHJbcg97AJIYQQwr4c9Nes1apVIzIyssTnDtwww8GTTz7Jk08%2BWWLZWrVqFfu1amlzzD0ohBBCCCHMZIRNCCGEEPbloCNs5YkEbEIIIYSwLwnYbObwAVtoaCiJiYnFErEGBQWxePFipXWtXbuWOXPm2DXXlxBCCCFEaXP4gA1MaSDCwsLudDeEEEIIoYWMsNmsXO/BnJwHNlShAAAgAElEQVQcPv74Y9q3b0/Lli0ZNmwYMTEx5udPnTrFgAEDCAoKonv37hw5csT83O7duwkMDLRY32uvvcZrr71WZv0XQgghhLBGuRhhu5lZs2axa9culixZgq%2BvLwsWLGDIkCFs2bIFvV7Piy%2B%2ByGOPPcbChQs5d%2B4cw4YNQ1/KUX5CQgKJiYkWy7KyfKhWzfpUGS4ulo9WK0zkrqJGDctHawUFqZVv1Mjy0Uqqya3Bhv1XRm6S4eSWCtPbKeaZ/3dSfc8Wlpdv9P9Oqm%2BKwpOKlpOLKq1tqSal19rOtWtq5UuTvB9tpjMajcY73YlbCQ0NJSkpqdjkczt27ODRRx8lMjKSNm3aAGA0Gmnbti1vvPEG3t7ePPfcc%2Bzbt8%2BcGuKLL77giy%2B%2B4Oeff2b37t0MHDiQY8eOmddZOLo2depUq/s3e/bsYnOvjBw5ijFjRmvaXiGEEMIu/v4bmjS5M20//bR91rtunX3W64DKxQjbO%2B%2B8U%2BwetqSkJDIzMxk7dqzFqFlubi5xcXHk5OTg7e1tkcfL39%2B/1PsWERFBaGioxbKsLB/OnrV%2BHS4uULMmXLgAOTnW16u3%2BG3rCxeqUQOGD4f58%2BHiRevrbdqk1k6jRrBiBfTtC9HRVlc7u3a/WjvYsP9q5Sq3hbMz5KrV239IfaZrd3e47z44ehRuyE18S8HN8pXbwmCAfLV6uQUG5WY07DpTvZwMtQp6vWkHZmVBQYH19Tw81NoB0OlAw3fe/AKdch0NLxOGgrI5xgH1USLQtv%2BKfMm2iqsr1K8PZ85AdrZaXVVa29IywlanDsTG2n%2BbhMMoFwFbSby9vXF1dWXx4sU0b97cvPz06dNUr16do0ePcuXKFTIyMqhw/ZrUpUuXzOUMBtMHTk5ODi7Xr6UlJyfj7e2t1A9fX198fS0vfx47pu09lJOjWK/I/XrKLl5Uq3/DjM9Wi45WqmvLuUd5/5WRDMV4o6isLNvq/yuoBF031tNaVzgulW8wRWVna69r77a0pi/Kzr6zlzlVyCVRm5XbPajX6wkPD2fmzJlcunSJgoIC1q1bR7du3YiJiSEoKIj69evzwQcfkJWVRUxMjMU0IP7%2B/jg5ObF582YAfvvtN3bt2nWnNkcIIYQQ4qbKbcAG8Oqrr9KsWTP69u1LSEgIS5YsITIyksaNG2MwGPjss89ISEjgkUceYejQobRv395c19fXlwkTJjBv3jyCg4NZtmyZTB0ihBBC2INeb59/dxGHvyR6q0luXV1dGT9%2BPOPHjy/x%2BVq1arFo0SKLZUWn7ejXrx/9%2BvUrnY4KIYQQomR3WXBlD7IHhRBCCCEcnMOPsAkhhBCinJMRNptJwCaEEEII%2B5KAzWayB4UQQgghHJyMsAkhhBDCvmSEzWayB4UQQgghHJzD5xItl2Jj1co7O4OfH1y6pJQS5sS1OoodM2U08feHc%2BfUsgKoThjv6gr16sHZs2rtBDZST9lDUBDs3w/BwUpZFc7Hqh36zs5QvTrEx6tl7qntmqjUDmBKVePtDcnJkJdndbWsij5Kzeh04OZmmixd5UygJQuRo2c80qUkq1UwGMDTE1JT1XNGqdLYVr6nWuaWwqa0bI7CYQqYXiMXF1OGEpXXKjVVrR2NbyUAMjPVyru4mLL/XbyoliZPlS3t1K1rnz7d1qBB9lnvF1/YZ70OSC6JCiGEEMK%2B5JKozWQPCiGEEEI4OBlhE0IIIYR9yQibzWQPCiGEEEI4OBlhE0IIIYR9yQibzSRgE0IIIYR9ScBmM9mDQgghhBAOTkbYhBBCCGFfMsJmM6U9mJ2dzaVLl%2BzVF6vk5%2BcTqzoxrRBCCCFEOaYUsPXt25fffvvNXn0p0fnz5wkMDOT8%2BfMAjBs3jm%2B%2B%2BQaACxcuEBQUxIULF8q0T0IIIYRQoNfb599dROmSaHKyYuoWOyjah5o1a3JAIRWREEIIIe6Auyy4sger9%2BCQIUO4cOEC77zzDt26daNt27a88sorhISE8Nlnn5Gens6bb77JE088QfPmzWnTpg2ffPIJAKtXr%2Baxxx6joEhCyhUrVtC1a1cA0tPTef/992nbti0PP/ww48aN4/Lly8X68MYbb7B3714%2B/fRTXnrppWKjb4GBgURFRdGpUyeaNWvGSy%2B9xN9//80zzzxDUFAQvXr1IiYmxry%2BzZs30717d1q0aEFYWBi//vqrtr0ohBBCCGFHVo%2BwLV68mNDQUEaNGkWtWrUYOHAg99xzD1OnTiU7O5sZM2Zw/vx5Vq9eTaVKlfj%2B%2B%2B8ZM2YMnTt3pkuXLkyePJnff/%2BdRx99FIB169YRHh4OwIQJE8jIyGDt2rW4ubkxdepURo0axVdffWXRh0mTJnHu3DlatmzJ6NGjzYFaURs3biQqKoqcnBy6du3KiBEj%2BPzzz6lRowbPP/88n3zyCVOmTGH79u288847zJ8/n%2BDgYHbs2MHo0aNZtWoVDRs2tHoHJiQkkJhomdzbp6AAXx%2BFJNyF2a0Vs1y7Kia3BlMC7qKP1lJN/u7iYvlotaAgxQpAo0aWj1ZS3QcaXyZt2csNBstHK%2Bl0as0Ullet96%2BkuK/NIwZlMXJQlm1pVFbHnurbSeNbCVA/f2k%2BRyjS2o49E9LflgMfu%2BWFTYdVeHg4zs7OODs7M3r0aAwGAxUrVuTSpUu4uroCpoCmbt26dOvWjW%2B%2B%2BYZHH32UU6dOcfToUT799FOSkpL47rvv2Lp1K1WrVgVMAVxISAiHDx/Gy8tLqU/9%2B/c312nYsCGNGzemQYMGADz00EPs27cPgGXLlvHss8/y4IMPAtCuXTtCQ0NZuXIlb731ltXtRUVFMWfOHItlo0aOZPSYMUr9BqBaNaXi/uotmNWoYUNlBTVrKlbYv197YytWKBWvrrGZ64epAm%2BNLQGenkrF3TQ2c/3taneqQbItlINQxX1tVrGitnpl0JaGGMVUT0NFLXVA/ZhQ/hJ4ndaXVwuV7%2Btl2U6RC0yiHLIpYPP19TX/PykpiUmTJnHkyBFq165NkyZNAMyXQXv37s3AgQPNI2mhoaFUqVKFv/76C4A%2BffpYrNtgMHD%2B/HnlgK1oeYPBQOXKlc1/6/V6jEbTsFRcXBx79uyxGMXLz8/noYceUmovIiKC0NBQi2U%2BBQWg8mtaJydTsHb5MuTlWV3tXI6f9W1c5%2BxsCtYuXoTcXOvraRlhq1kTLlxQ%2B1ZXLyxYrSEwjaytWAF9%2B0J0tNXV4reqBYdOTqZgLSlJ6WWiuouGez8NBtMnTGoq5OdbXe2au1pwqNOZgrXsbDAqjNhq%2BXB2dlY75gppGa3Q6dS2B0CXlqpWQa83BVDp6epvEFUa28qvoB6lGAxKh9w/bSnW0en%2BOSZUXquMDLV2NL6VALh2Ta28k5MpiEpMVDtHqCqrdkqVjLDZzKaATVfkK%2BzYsWMJDQ1l0aJFODk5kZyczKpVq8zPN23alLp16/LDDz%2BwceNGPvjgAwCqVzeNc2zduhWfIl8XTp48SZ06dYpdblTp0634%2BfnRs2dPXnjhBfOyCxcu4OamNkbh6%2BtrEbgCEBur7ZMpL0%2BpXna2ehOFcnPV6mv9PMrJUeynLT8iiY5Wqq/lJQLllwn0NpxR8/OVzsiqQUrRelrr/mtoiVLA9ObQWteR21JUVsee1gBF8a0EaL%2BEmJdXNpcfy6qdUiEBm82U9qCLiwtpaWklPpeWloabmxsGg4ErV66YA7LcIp9svXv3JjIyEr1eT%2BvWrQFTwPb4448zadIkkpOTyc3NZf78%2BYSHh5OaWvwb7636oKJPnz58%2BeWX5hG%2BQ4cOERYWxqZNm2xetxBCCCFEaVIK2MLDw5k1axb//e9/iz03ZcoUtmzZQnBwMGFhYVSvXp3GjRtz/Phxc5nu3buTlJREWFgY%2BiLR9ocffoinpyc9e/bkoYceYvv27SxcuNBixK1Qz549WbNmDX379lXpejFPPvkk//nPf5gwYQLBwcGMHTuWwYMHM2DAAJvWK4QQQogbyDxsNtMZjXf9hZDSp5qJwdkZ/PxM970pXGs7ca2OYsdM9yv5%2B8O5c/a9JOrqCvXqwdmzau0ENtLwc8WgINOPFYKDlS6Jno9VO/SdnaF6dYiPV7skWttV7bI%2BYLpJxdsbkpOVruNkVVS7C1mnAzc30706KmcCLfeVOfw9bCmK9xracnOUKo1t5Xuq/%2BBF6z1sqpcbdTrTva45OWqvVQkXXm5J41sJgMxMtfIuLv/cI2zPS5W2tFO3rn36dFslDPSUiunT7bNeByS5RIUQQghhX3fZaJg9SMAmhBBCCPuSgM1msgeFEEIIIRycjLAJIYQQwr5khM1msgeFEEIIcVdKSkpixIgRhISE0KpVKyZNmkTeTX6dMnToUJo2bUpQUJD5344dOwDTxPvTpk3jkUceISgoiOHDh5OQkFCqfZWATQghhBD25aDTerz88st4eHiwc%2BdOVq9eze%2B//86SJUtKLPv333%2BzaNEiDhw4YP732GOPATB//nz%2B97//sWbNGnbu3Imbmxtvvvmmzf0rSi6JCiGEEMK%2B7HRJNCEhoVhGJB8fn%2BIZiEoQExPDnj172LFjB%2B7u7tSpU4cRI0Ywffp0hg4dalE2NjaWq1ev0rhx4xLX9fXXXzN%2B/HhqXE/U/cYbb9C6dWtiY2OpU0d9Cq6SSMBmD4pJ3M1Zqr28lCYkanhNY45KPPH3Upw7SlOCa2fq1VKbeEt1bjS4Pj8aptygSvOj1VGc8%2B36fG/VO6vN93b0iPo2ublBfW84k%2BKtlM/wPperag3p9eBWCbfcNKXJ9s5cqnz7QkW4uECtWpCQoD5vlGI6YfOUZWlpaof48eNqc5Z5eEDTpnAoxlN5vq70dLXylSpBy5awJ9oTlUQv11M6W60wX25KivqcZRUqqJXX603HRV6e2jyPPpePqjXk5gbe9fFOOaOeHFQxVSEFLkAtahTEQYHCga6a0d7gDPhSw5AATqqTG9ZSLO/YoqKimDNnjsWyUaNGMXr06NvWPXHiBF5eXuYUmQANGjTgwoULpKam4un5Ty7eQ4cOUaFCBcaNG8ehQ4eoVq0agwcPJjw8nLS0NC5dukRAQIC5fLVq1ahcuTLHjh2TgE0IIYQQ5YSdRtgiIiIIDQ21WFZSlqSSZGRk4O7ubrGs8O/MzEyLgC0nJ4fmzZszbtw4GjZsyO7duxk9ejQVKlQgKCgIAA8PD4t1ubm5kZGRobxNNyMBmxBCCCHKJV9fX6suf5bEw8ODrKwsi2WFf1e4Yci4Z8%2Be9OzZ0/x369at6dmzJ1u3buWRRx6xqFvo2rVrxdZjC/nRgRBCCCHsywF/dNCwYUNSUlK4fPmyedmpU6fw8/OjUqVKFmVXr17N1q1bLZbl5OTg6upK5cqVqV69OidPnjQ/l5iYSEpKisVlUltJwCaEEEII%2B3LAgK1evXq0aNGCyZMnk56eTmxsLPPmzSM8PLxY2fT0dCZOnMiRI0coKCjgl19%2BYdOmTURERAAQFhbG/PnziY2NJT09ncmTJ9OyZUv8/f1t6mNRcklUCCGEEHelyMhI3n//fdq3b49er6dnz56MGDECgKCgIN577z169OjBoEGDyMzMZNSoUSQlJVGnTh2mTZtGSEgIACNHjiQvL49%2B/fqRkZFBq1at%2BH//7/%2BVal8lYBNCCCGEfTlopoNq1aoRGRlZ4nMHiswGoNPpGDFihDmYu5GzszPjx49n/PjxduknyCVRIYQQQgiHJyNsQgghhLAvBx1hK09KbQ%2BmpaVx5cqV0lrdLcXExJRJO0IIIYQoBQ74o4PyptS2tmPHjpw4cUJz/cDAQHbv3n3bctOmTWP%2B/Pnmv4OCgti7d6/mdoUQQgghHF2pXRJNTtaQJqkU2jmgkCJICCGEEHfAXTYaZg/Ke3D27Nm0bduWli1b0qtXL3766Sc6deoEwLBhw1iwYAFr164tlipiwIABzJ49G4Dc3FymTJlCq1ateOihh1i4cKG53ObNm2nRogXZ2dnmZd9%2B%2By3t2rVj7ty5bNy4kY0bN9KjRw/AcmQuNDSUzz//nB49etCsWTOeffZZDh8%2BzLBhwwgKCqJLly789ddf5vX%2B9ttvhIeHExISQteuXdmwYYPq7hBCCCHE7cglUZspjbDt2rWLqKgo1q5di4%2BPD1FRUbzxxhvs3LmTJk2asGDBAlq1asXatWtvuZ558%2Bbxyy%2B/sHr1aqpWrcq7775rfq5jx4689957/PTTT3Tp0gWAb775hqeffpqRI0cSGxsLwNSpU0tc99dff83ixYupWLEivXr1YsCAASxatIj777%2Bf//u//2PGjBl8%2BeWXREdHM3z4cKZPn0779u35888/GTFiBN7e3rRp08bqfZKQkEBiYqLFMh9PT3ytzGUG/JP8XaeYjNxgUCsP/xzgDnqgOzur13Fysny02vX8b1Zr1Mjy0Uqq%2BaPhn1zQqjmhlV9XjceDar8KX1ctr6/qYa71EL8hDeBtFb6uWl5f1bd6Yd9U%2B6j6nijc17acWqxV9LSnVFd1h2t%2BM2moo/VAVy2v9aSXq5ooXjgSpVfb1dWVq1evsmrVKtq1a0fv3r2JiIhAp3j2Wb9%2BPS%2B99JI5g/2bb75pHt1ycXGhW7durF%2B/ni5dupCUlMSvv/7KG2%2B8YdW6e/XqhZ%2BfHwAPPPAA6enp5sSsrVu3Nt//tnLlStq3b88TTzwBQHBwMH369GH58uVKAVtUVBRz5syxWDZq5EhGjxlj9TrMXF3Vymv5pChUsaL2uioUT0TVq2tvqmpVxQr792traMUKpeL1tbUCQK1aqjUq3b5ISRTz3dXS2IzGlH%2BaqB7iTZtqa6dhQ231tGjSpGza8fIqm3YAbsi9fXv1Nb6j1N9M2pXVgV6lilr5uDj79MMaDjpIUJ4oBWxBQUHMnj2bpUuXsnDhQtzc3BgwYADDhw9XajQhIYEaNWqY//b09KRy5crmv8PCwoiIiCApKYkNGzYQHBxsDu5ux6vImcZgMFisV6/XYzQaAYiLi2PXrl3mWYoB8vPzldNIREREFLv86%2BPpCdeuWb8Snc4UrGVnw/X%2BWSUnx/qyhfR60ydZejoUFFhfT/msiilYU/xGF39FfQjGyckUrCUlQV6e9fWqdw5Wa6hRI1Ow1rcvREdbXe3MGvXA0MXF9PkSF6f2MtevlqbWkF5vCtYyMpSOh7hUtYjN2dn0GZaQoP4lv5JicKj1EFf98bmbmylYO3FC7e0OcEOO6Nvy8DAFa3//DZmZ1tdr0ECtHYPBFKylpEB%2Bvlpd1VOETmeqk5WldtrziD%2Bj1pDWN1NhXRVaD3QtI2xVqsCVK2onPVGuKQVsFy5coGrVqixatIicnBx%2B//13Ro0axf33329RTq/Xk3PDG6PojwX8/PzMlzYBMjMzSUv754OmSZMm3HvvvXz33Xds3ryZAQMGWN1Ha0f7/Pz8ePrpp3n//ffNyxISEswBnbV8fX3xvfHblOoZqJDRqFZP9YxaVEGBbfXtxJYR%2B7w8xfpaf7ASHa1UV/XDvKicHMX6KhHKjfUU6mr5rgCm10e1rtbDVPUQVwmEirp2Tb1uerq2tjIzIU0hJtf6WZ6fr15X9dArHHAxGhXran1DKb%2BZbKDlQNdC%2BaR3B8kIm82U9uChQ4cYOnQo0dHRuLi4UPX6NShvb29cXFzMQVeDBg24fPkyu3btwmg0sn79ek6dOmVeT%2B/evVm4cCGnTp0iOzubqVOnkn/DmTUsLIxVq1Zx9uxZ82VLwKIdW4SHh7Np0yZ%2B/fVXCgoKOHv2LP3792fx4sU2r1sIIYQQRciPDmymNMLWqVMnzp49y/Dhw0lOTqZq1apMmDCBZs2aERERwSuvvMLgwYMZN24cw4cP57XXXiMjI4MOHTqYf0kKpl%2BTZmVl0b9/f/Ly8ujTp4/FpUyA7t27M336dMLCwnAvMtbepUsXxo0bx%2BOPP84vv/yiecObNWvGRx99xEcffcTYsWNxd3enW7du/Oc//9G8TiGEEEIIe9AZVa8BlpH8/Hxat27NJ598QrNmze50d9So3qCi05luiLl2Te2SqJbhfYMBPD0hNVXtepGWHylouIftfLz6PWzOzqYfK8THqzVXu47iT/WCgkw/VAgOVrokevSI%2BlvMzc10b/WZM2ov8301r6o1pNebbhJLS1O6LnXmSuXbFyrCltuIVG%2BA13qIHz%2Bu1o6Hh%2BmHCocO2f%2BSaKVK0LIl7NmjdklU9UcKWu8HBeXfraDXm/ZhZqbaJdGKsUfVGtL6Ziqsq0LrgV5W98pB2f74oqgiE96XKsV76Mszh8wleuLECbZu3Yqfn1/5C9aEEEIIIUqZQwZsL774IgCRkZF3uCdCCCGEsNlddr%2BZPThkwPbzzz/f6S4IIYQQorRIwGYz2YNCCCGEEA7OIUfYhBBCCPEvIiNsNpM9KIQQQgjh4GSEzR727lUrX6GCaaqII0dMKYKstL3A%2BpynhSpWhBYtYN8JT6WpBVS/HBVu0v5DziqbRJtGiWoNwfUEyN5Ud0kGvfVzEahOt%2BHmZsoLembNfrWpNhorTh8C5ilE6vdSm0IkLVVtm/R6qABk6CuhMtl8fY94pXZMr1FVarklgZPifBGZiuWdncHTF89ralMetHK7rNaOqzsQQFPX41CgOJWPr6daeRcXoBYtaylOF6FXnI5Hb3ovVdWrvZcASFMs7%2BQEHj54ZCQqzSHy1cH7lJrx9oYn68O3x%2BpTJOGOVVSnNqlSBbrWgs0Ha3Hlilpd5Xa6wuY/fJXbUUgcVLpkhM1mErAJIYQQwr4kYLOZ7EEhhBBCCAcnI2xCCCGEsC8ZYbOZ7EEhhBBCCAcnI2xCCCGEsC8ZYbOZBGxCCCGEsC8J2Gwme1AIIYQQwsHJCJsQQggh7EtG2Gwme1AIIYQQwsGVacC2ZcsWHn74YVq0aMG2bdtuWm7Dhg107doVgN27dxMYGFhWXRRCCCFEadPr7fPvLlKml0S//vprunbtyptvvnnLcj169KBHjx5l1CshhBBC2NVdFlzZQ5ntwfDwcHbt2sXKlSvp0KEDP//8M8888wwPP/wwzZo1o3///pw9exaAtWvXEhoaWmwd58%2BfJzAwkPPnz5uXzZ49mwHXk6OtXbuWsLAwhgwZQkhICBs3biQnJ4ePP/6Y9u3b07JlS4YNG0ZMTIy5/ooVK%2BjQoQMhISF0796dr7/%2B2r47QgghhBBCUZmNsK1evZoBAwbQsmVLevfuTceOHfn4448JDQ0lOTmZUaNGMXfuXKZPn25TO4cPH2bq1Kl88sknFBQUMGvWLHbt2sWSJUvw9fVlwYIFDBkyhC1btpCQkMCUKVNYv34999xzDzt37mTkyJG0bdsWX19fq9pLSEggMdEyYblPVha%2B1apZ32l3d8tHK1VUy/NtS1PoFPOXa23HlCRckcFg%2BWglNze1ZlxcLB%2BtFhSkWAFo1Mjy0UqqX2ILyyt/%2BVV9nTS%2BRoD6wVfYN9U%2Bqh6srq6WjypUDyJnZ8tHa5Xl66RK4%2Bvk7a3WjKen5aOK/Pyya6ss2rFnQvrbkhE2m92RX4lWqVKFzZs34%2B/vT3p6OpcuXcLb25v4%2BHib1%2B3s7MxTTz2FXq/HaDSycuVKIiMjqVOnDgAjR45k1apV/PLLLzRt2tRcplOnTjz88MMcPHgQvcKBFRUVxZw5cyyWjRo5ktFjxqh3/r77lIq3UG/BrHFjGyorUNwkQPFsXJTi2au%2BxqZq1VKssH%2B/toYAVqxQKl5BYzPKgXWFqtoa8vLSVk%2BLKlXUylv5Ja2YunW11dNCax9V2TviKEoxAnvySW3NPPKItnpatGnjmO0sXWqffoiycUcCNmdnZzZt2sTKlSvR6XQEBASQnp6Ok5bRlRv4%2BPiYA64rV66QmZnJ2LFjLYKw3Nxc4uLi6NSpE0uXLmXhwoW89NJL5OfnExYWxn//%2B19crfzWHBERUezyrU9cnNqHtLu7KbI5ehSysqyuts8YbH0bRZpq3BiOHFFqStMIm4ZNIrh%2BslpDYBoN8PSE1FSlr8RnUtQ%2BKFxcTMFaXBzk5Fhfr34v9deJRo1MwVrfvhAdbXW1jJ1qwaFeb3qtsrKgoMD6ehWuJSm1g8FgCtZSUtSHLVTLOzmZgrUrVyAvz/p6KSlq7bi6moK1mBjIzlarW0ExtHZ2NgVrCQmQm2t9PQ8PtXY0vpcAtX0NptfJ2xuSk5XqfrvPR6kZT09TsPbbb6bNUqFlhK1NG9i5U70tR2ynVMkIm83uSMC2detWli1bxldffUXd699OJ06cyPHjx29Zz3B9mD63yAkrOdnyA15XJLLw9vbG1dWVxYsX07x5c/Py06dPU716dZKSksjPz2fu3LkUFBSwf/9%2BxowZQ/369enXr59V2%2BLr61v88umVK5CRYVV9C1lZSvXSFT5gS2oqPd368lrfa4qbpH7SLyo/X6n%2BtWvamsnJUax74IC2hsAUrCnUVwm6bqynVFfr66T4GtnUVl6eWnCj8s2iqOxs9bqqlzYL5eaqfVtQvn5/XVm/Tgp1kzV8pwNTYKNaV%2BsmpaaWzeXHsmqnVEjAZrM7sgfT0tLQ6/W4ublhNBrZsWMH33zzjUUgVpKqVatSuXJlNm/ejNFo5PDhw3z77bc3La/X6wkPD2fmzJlcunSJgoIC1q1bR7du3YiJieHChQsMGTKE33//Hb1eT/Xq1QFToCeEEEII4SjuyAjb008/zb59%2B%2BjatSsGg4F77rmHQYMGsXz5cnJu8e3RxcWFiRMnEhkZyaJFi2jSpAl9%2BvRh3759N63z6quvMnv2bPr27UtKSgp16tQhMjKSxtdv4nr77bd59913SUhIoFKlSvTt25fOnTuX%2BjYLIYQQdy0ZYbNZmQZsS4vc8fjhhx8We37M9Rv1w8LCCAsLA6BVq1YcO3bMXKZTp0506tSpxPUXrVfI1dWV8ePHM378%2BBLrhIeHEx4errYhQgghhBBlSHKJCiGEEMK%2BZITNZhKwCSGEEMK%2BJGCzmUpqbeAAACAASURBVOxBIYQQQggHJyNsQgghhLAvGWGzmQRsQgghhLgrJSUl8dZbb7Fnzx4MBgM9evTg1VdfLXEi/6%2B%2B%2BoolS5aQkJCAr68vAwcONM/ZWlBQQIsWLTAajRbzwf7vf//DQ3UC65uQgE0IIYQQ9uWgI2wvv/wy1atXZ%2BfOnVy%2BfJnhw4ezZMkShg4dalHuxx9/5KOPPmLBggU0a9aMgwcP8sILL1CtWjU6derEyZMnyc3NZf/%2B/bhonbD6NiRgE0IIIYR92SlgS0hIIDEx0WKZj49P8QxEJYiJiWHPnj3s2LEDd3d36tSpw4gRI5g%2BfXqxgC0%2BPp5hw4aZsyYFBQXRqlUr/vjjDzp16sShQ4cIDAy0W7AGErDZR0iIWvnC4dPGjcFotLpaWxfFRHdmBlo011pXrZ3gZmrtZOWo5QkE0%2B5zA665e6vsPu5zuarWkF4PVKJ%2BtTSlPE5pqQqdKtJUBUy5QVVSRlXyVEz6GhQE%2B/dToU2wWgqt26SRK8bVFapWNeUpU827Wa2aWvnrKexwc1NKAXW%2BajOlZpydoToQXzmAXMUrHirHKYCzAfyAS4Za5CqcteuQePtCpSReX0OpvJMeqgJJeh/yFD7Lnw1TPH50OsCFJ0Nz1He8pvzWBro%2BqXh%2BVckTCOZzUdfH1M5FJpUVyzu2qKgo5syZY7Fs1KhRjB49%2BrZ1T5w4gZeXlznLEUCDBg24cOECqampeHp6mpffmK4yKSmJP/74g9dffx2AQ4cOkZ2dTa9evYiLi6NBgwa88sorBAdryCV9ExKwCSGEEMK%2B7DTCFhERQWhoqMUyHx/rvvhnZGTg7u5usazw78zMTIuArajExERefPFFmjRpQrdu3QBwc3PjgQceYOzYsVSuXJnly5fz/PPPs2HDBurUqaO6WSWSgE0IIYQQ5ZKvr69Vlz9L4uHhQVZWlsWywr8rVKhQYp2DBw8yduxYQkJCmDJlivnHCa%2B99ppFueeff561a9eyfft2%2Bvfvr6l/N3LMuwCFEEII8e%2Bh19vnnw0aNmxISkoKly9fNi87deoUfn5%2BVKpUqVj51atXM3jwYAYNGsTMmTMt7lebNWsWR44csSifk5ODq6urTX0sSgI2IYQQQtiXAwZs9erVo0WLFkyePJn09HRiY2OZN29eifnFv/vuO959911mz57NkCFDij1//PhxJk2aRGJiIjk5OcyZM4f09HQ6duxoUx%2BLkoBNCCGEEHelyMhI8vLyaN%2B%2BPX369KFNmzaMGDECMP0SdMOGDQDMmTOH/Px8xowZQ1BQkPnf22%2B/DcCUKVPw9/fnqaeeolWrVuzZs4fPP/8cLy%2BvUuur3MMmhBBCCPty0HnYqlWrRmRkZInPHSjyy/mNGzfecj1eXl5MmTKlVPt2IwnYhBBCCGFfDhqwlSeyB4UQQgghHJyMsAkhhBDCvmSEzWYOsQe3bNnCww8/TIsWLdi2bdsd68fs2bMZMGDAHWtfCCGEEKIkDjHC9vXXX9O1a1fefPPNO90VIYQQQpQ2GWGz2R0P2MLDwzl8%2BDB//PEHv/zyCxMmTOCzzz4jJiaGzMxMmjZtygcffEC9evVYu3Ytq1evplmzZqxZswa9Xs/IkSNxdXVl/vz5pKam0rVrV95//30AQkNDad26NT/99BM%2BPj6sXbuWo0ePMnXqVKKjo/H29qZv374MGjQInU4xB6MQQgghrCMBm83ueMC2evVqBgwYQMuWLenduzcdO3bk448/JjQ0lOTkZEaNGsXcuXOZPn06APv27eOJJ55g165drFy5kg8%2B%2BIDOnTuzZcsWTp48SUREBN27d%2BfBBx8E4K%2B//mLr1q2AKf/XoEGDGDduHIsXLyYmJoYRI0bg5ubGM888o6n/CQkJJCZaJlj28fTE18pcZsA/yd8laNS0CzTvPtUTSGF5xXpazlMamzIlc1fRqJHlo7VUZ%2B8uTMKukIzdrDCZu7U07jzVrhXmBdeSH1xrDnLltlQrFO5r1X0OOCnmINfclOobvTycX8voXKSeKF44kjsesBVVpUoVNm/ejL%2B/P%2Bnp6Vy6dAlvb2/i4%2BPNZTw8PMwjYq1btyY/P5/nn38ed3d3mjZtiq%2BvL3FxceaArVOnTuYErlFRUTRo0IB%2B/foBcO%2B99/L888%2BzbNkyzQFbVFQUc%2BbMsVg2auRIRo8Zo76yUkxhcVsaTshl0Y6bDd1S3n1uxVOPWOUmOeZuWlxbKwDckJf49vbv19bQihXa6qmqUaNs2gGoWFGpePWS8zzfVtWq2uppUa2aag1vbQ3dJOn1rWjdDerzirrcvkhJtHxZ0Er1/FpCGiSrKJ6LuHpVWzulQUbYbOZQAZuzszObNm1i5cqV6HQ6AgICSE9PNydXBdPkdIWXL/XXDwDPIicXvV5PQZFvEUWTwsbFxXH48GFCQkLMywoKCjDYELxEREQQGhpqsczH0xOuXbN%2BJTqdKdrIzlb76q31BGQwQH6%2Btrp2budarvproXX3ueWmqTWk15tOkBkZSt9UM/TqJ2O93hSsZWWpfSmu0CZYraFGjUzBWt%2B%2BEB1tfb1vvlFrx9nZFKxdvAi5uWp1VT/R9XpTsJaerrTz4rPUghQnJ1OwlpQEeXlqXdQywlatGly%2BrNaWn2uyWkMGgylYS01Vfu8mFagFhwaD6aVNSVFrqmqlHKV20OlMx19urvqO1/LZoOX8mpmpVl7juUiUbw4VsG3dupVly5bx1VdfUbduXQAmTpzI8ePHzWVU7zUrWt7Pz49WrVqxaNEi87Lk5GQyMv4/e3ce3lSZ/g38m7TpRimFtqFQ2SxQtg6UVQZRaUVkXwSLhSJTkGEoLY76uoCAWhHHQWRTQQZEBIZNRERG/CnKoGJRFmWZshYs3aGtdE/S5v0jJDZQIfcJp6Tl%2B7muXoGT58l9zsnJyZ3nLHex4nnW6/V2SSEAy7esdMcAWPoo6VeHOLP44tWndEdXWSnq68zuVBgKqHJnbpGUFFnf8nJlcYxGeV%2BlPy4qK0V9pXmklckk76t0OxfHchNmklYVFeIs1KRwQxeHUrryXHn/WkP7otuKI2xOc6k1WFhYCK1WCy8vL5jNZvz3v//F9u3bYVS6J73G0KFDceTIEezYsQMmkwk5OTmYOnUqXn/99Vvy%2BkRERFQNFyz%2BXtu41AjbyJEjcfDgQQwePBhubm64%2B%2B678fjjj2P9%2BvUwGITD4NUICQnBv/71LyxYsACvvvoq3Nzc8MADD2DWrFm3YO6JiIiI1KExm111jLgWKy2VtddoAC8vy3lvkrfDQ%2BHJty58DlupQdk5bEpWn7dBeAKuVms5ObiwUHQYolDbQBYHyk9Rqe8nvBIuIsJyoULXrrJDolVOU3CIpyfQvDnw66/yQ6LSM%2B0Vnod1sVh2DpZOBzRuDGRnq39IVKcDgoOBrCxZrGZeuTdvVJW7O9CwIZCfLz4kml0puDIeys8BbOwv3H40Gsu%2B0mBQfnmuhJL9a1GRrL3CfREAoIF8f3RL/O9/6rxu%2B/bqvK4LurPGE4mIiIhqIZc6JEpERER10B12vpkamLARERGRupiwOY1rkIiIiMjFcYSNiIiI1MURNqdxDRIRERG5OI6wqcHLS1k/aTFMJfem02h%2Bv%2BxccIm7USuvc6pzA4yVstt0KLmK3kpaRSY1S3Z5u4cHEFIfSL9SX7TqW/lk37zRtdzdgXoBqFcmvOeBktttAJZSU5LbbbRtK4tjvX3IiBHyagy7dsna%2B/kBffoAR49abu3hoLuCg2VxvL2Bxu3QOD9FfisfcbktDwAhCK5IB0yCja/SRxbHeosIBXfQbxyo5FZBbgjwF/bT1lwtUaNJXjBe0X7PT36rDQ0As6%2B87J18iW4RjrA5jQkbERERqYsJm9O4BomIiIhcHEfYiIiISF0cYXMa1yARERGRi%2BMIGxEREamLI2xOY8JGRERE6mLC5jSuQSIiIiIXxxE2IiIiUhdH2JxW69ZgRUUF0tLSbvdsEBEREdUYVRK2Xbt2oXfv3ujWrRu%2B/vrrW/raf//737F9%2B3YAQEZGBiIiIpCRkXFLYxAREdEtpNWq83cHUeWQ6JYtWzB48GC8%2BOKLt/y18/Pzbf9u2rQpDkvL3BAREVHNusOSKzXc8jU4evRo/PDDD9i4cSPat2%2BPsLAwvP766%2BjRowdefvllAMBnn32GoUOHolu3bhg1ahS%2B/fZbW3%2BDwYDFixcjKioKPXv2xBNPPIELFy4AAGbNmoWffvoJK1aswNSpU3Hx4kWEhYXh4sWLAICwsDBs2rQJAwYMQOfOnTF16lQcO3YMY8eORUREBB555BHba91sPoiIiIhcxS0fYdu6dStiY2PRs2dPjBw5ElFRUSguLsZ3332HsrIy7N27F3PnzsW7776Lrl274r///S8SEhKwefNmtGnTBm%2B99RZ%2B%2BOEHrFmzBnq9HitXrkRcXBx27dqFefPm4ddff0XPnj2RkJBgS9Sq%2BvTTT7Fp0yYYDAYMHjwY06ZNw/vvv48mTZpg0qRJWL58OebPn3/T%2BXBUTk4OcnNz7aYFBQZCr9c7vS5vSqOgjK%2B1j5K%2BdYyHsIa0tXa0uIa0kor21kr20or21mLujlK6UBERsvbt2tk/Svj5ydrXq2f/6Chvb1l767qWrnOg5jY%2B6bandLsjuhmOsDmtRq4SHTFiBDw8PODh4YF169bhscceQ48ePQAA/fr1Q2RkJDZu3IgXX3wRGzduxJIlS9CsWTMAQHx8PDZv3oxvvvkGAwYMuGms8ePHw9/fHwDQpk0bdOjQAaGhoQCAe%2B65BwcPHgSAG87H7NmzHV62TZs2YdmyZXbTpsfHIyEx0eHXsJEmUdKdflXCHb80R1EYxinSWCEhyuLIc/EAZYEA4Oq27HgohbGaNJG1P3RIWZwNG5T1U6JLl5qJ06pVzcQBlGx8yki3O2fUVHKo4Eeq0v1XTe33pItkNqszH1QzaiRhqzralJ6ejgMHDuDf//63bVpFRQXuuece5OXloaSkBDNmzIC2SjZuNBqRnp7uUCz/KjsaNzc3NGjQwPZ/rVYL89Ut9kbzIREdHY3IyEi7aUGBgfJPhkYj72M0ytpb4%2Bh0lr6CeEaNPDm0hqkJSmLl5Mhj6PWWfpJYIV6XZYEAy5eYvz9QUABUVDjer7hYFkensyRrmZmyhRoxQhanXTtLshYTA6SkyPouXSprX6%2BeJVk7ckS2PqTJrqenJVlLTQXKy2V969eXtVe68Xl5yeIo3e4AZUmem5s8jpKRGiX7VwBGk7IkT7ovUjIIr3CRbh%2BOsDmtRhI2TZWfAcHBwRgxYgSmTJlim5aRkQEvLy/4%2B/vD09MTq1evRpcqv47PnTuHxo0bi2PdyI3mQ0Kv119/%2BLOmPkXOxDGbZf3r4BFUg0FZP6NR2NfdpCwQYPkyMwn6SxMHK6NR1lfpxT4pKfK%2BV64oi1VcLOvr46MsTnk5UFoq66PkMCog3/iUZAKAfLsjuhkmbE6r8TX46KOPYu3atfjll18AAEePHsWoUaOwc%2BdOaLVajB49Gm%2B%2B%2BSaysrJQWVmJjz/%2BGEOGDLFdLODh4YHCwkJV54OIiIjIldR4pYOHH34YJSUlmDlzJjIyMuDv74%2BJEyciNjYWAPDcc89h6dKliImJQUFBAZo1a4YlS5agQ4cOACznw7300ks4duwY3njjDdXmg4iIiG4RjrA5TWM216qj4LWDklWq5IQEJcf0NBrLxQoGg%2BwcNq38EI6rn8NWzUXGN%2BThYblQIT1dtupb%2BWTLAgGWQ1kBAcDly7JDU9LDh56eQPPmwK%2B/yg6Jtm0rixMRYblQoWtX%2BSHRXbtk7f38gD59gO%2B%2Bk62P4GBZHG9vy7l5KSnyQ6LS872UbnzSw7xKtzsACAyUtQd4DttVNXkO2227QYD0/FpHSa8Gr8VYS5SIiIjUxRE2pzFhIyIiInUxYXMa1yARERGRi%2BMIGxEREamLI2xO4xokIiIidWm16vw56fLly5g2bRq6d%2B%2BOXr16Yd68eTD9wQU3e/fuxdChQ9GlSxcMHDgQX3/9td3zK1euxH333YcuXbogNjYW586dc3r%2BqmLCRkRERHekJ598Ej4%2BPti3bx%2B2bt2K/fv3Y82aNde1O3/%2BPBISEjBjxgz89NNPSEhIwJNPPonsbMtdAD7%2B%2BGN8%2BOGHWLVqFZKTk9GxY0ckJibiVt6IgwkbERERqUulEbacnBwcP37c7i/HwbqDFy5cwIEDB/D//t//g7e3N5o1a4Zp06Zh/fr117X9%2BOOP0b17dzz44INwd3fHoEGD0KNHD2zatAkAsHnzZsTExKBNmzbw9PTE008/jYyMDCQnJ9%2ByVchz2NQgHQb18ACaNbPcGExyj6VGjWRxAMt9jzw8gLIy0f2PdO7Ce75ptYCuHnSGYqCy0uFuZl9hjcUqpPcykt4Ky1qjun594a2jShSU%2BLHeLElaIkh6LyzrQvn7yxZKyb3RAEtdUOm94gYNkrW33vMtIUF2z7c9e2RxrO9LYSFQVCTr%2B9NPsvYBAcCoUUBysuUeaQ4yTnxCFgeADoDRT1hXFYDu/FlZB%2Bt%2BLyNDtN87aQoVhfH0BFq2BM5f0Igrtwl2XQAspVtbtbLsysvKHO8nvRWdlxfQujVw9qwsDgB06iRr7%2Bo2bdqEZcuW2U2bPn06EhISbtr39OnT8Pf3tyt9GRoaioyMDFy5cgV%2B1v0WgDNnzqDtNfefbN26NVKu1kY%2Bc%2BYMnnji98%2BbTqdDy5YtkZKSIq5R/keYsBEREZGqzCoVpI6OjkZkZKTdtKCgIIf6FhcXw9vb226a9f8lJSV2CVt1bb28vFBSUuLQ87cCEzYiIiJSlXS00lF6vR56vV5RXx8fH5ReU6XE%2Bv9611RQ8Pb2Rtk1w5llZWW2djd7/lbgOWxERER0x2nTpg0KCgpw6dIl27SzZ88iODgY9evbn57Ttm1bnD592m7amTNn0KZNG9trVX3eaDTi/Pnz1x1GdQYTNiIiIlJVZaU6f85o2bIlunXrhtdeew1FRUVIS0vDO%2B%2B8g9GjR1/XdtiwYThw4AB27doFk8mEXbt24cCBAxg%2BfDgA4JFHHsG6deuQkpKC8vJyvPnmmwgMDET37t2dm8kqmLARERHRHWnJkiUwmUyIiorCo48%2Bir59%2B2LatGkAgIiICOzYsQOA5WKEt99%2BGytWrECPHj3wzjvvYOnSpWjVqhUAYPTo0Zg4cSLi4%2BNxzz334MSJE1ixYgV0Ot0tm1eew0ZERESqUuscNmcFBgZiyZIl1T53%2BJqrzPv27Yu%2BfftW21aj0SAuLg5xcXG3fB6tmLARERGRqlw1YatNeEiUiIiIyMVxhK2K8vJy5OfnIzg4%2BHbPChERUZ3BETbncYStipiYGHz//fe3ezaIiIiI7HCErYr8/PzbPQtERER1DkfYnOeSI2wnTpzAY489hoiICAwfPhzvvvuurfTEl19%2BiVGjRqFr164YMGAA1qxZg8qrW0JlZSXee%2B89PPjgg%2BjWrRtGjx6Nffv22V43MjIS27Zts/0/OTkZYWFhAIC4uDhkZGRg7ty5eOWVV2pwaYmIiOo2V7wPW23jciNsRUVFmDx5MqKjo/HBBx8gNTUVU6dOhUajwQ8//IAnn3wSb7zxBh566CGcPHnSdr%2BUiRMn4u2338bWrVvxzjvvICwsDF988QWmTZuG9evX409/%2BtMN465evRqRkZGYPn06Ro0a5fD85uTkIDc3125aUHk59A7WMgMAWO/TIr1fi7Vwt4RWa/8o7ad2nBokXX2KF0nJfXisleylFe1raqGq1NhziLU8i5IyLRERsvbt2tk/OsrXV9bex8f%2BUSJAWFzd39/%2B0RV5eMjaK9zveQo3cetsSWcPAMzmmoklLf7u6Wn/6ChpoXhyLS6XsO3Zswdubm5ISEiAVqtFWFgYJk%2BejFWrVmHbtm2IiorCoEGDAAAdO3bElClT8OGHH2LixIn46KOPMGXKFHTs2BEAMGjQIOzevRtbt269acKm1KZNm7Bs2TK7adPj45GQmCh/sZq82EH65aTUNcVwb8aZ8sAaYWdpzmElXnV%2ByurcAQAaNVLeV0K6UH36KIvTpYu8z6FDymJt2KCsn9TV/Y1Ijx7KYl1T5PpmlN6yU9G9Pps1UxZMuN9rqSwKmjZV2FGBkJCaiSNd5ceOqTMfjrjTRsPU4HIJW1ZWFpo2bQptlV/8za5ulZcvX0b79u3t2t91111IT08HAFy6dMnWturzKSkpqs1vdHS07XCtVVB5OZCW5viL6HSWnVZWFmA0Ot6vQQPH21pptZYv56Ii2SdIyciNtzdQWiqKY/ZRVihXo5H/Gi4slLVXuur8ynJkgQDLyFqjRkBeHmAyOd7Py0sWR%2BlCHT0qi1OvniVZO3IEKC6W9U1IkLVv186SrMXEAJLP/ooVsjg%2BPpZk7fhxoKRE1leyfwAsI2uRkcCePUBBgcPdjEMdP1pgpdPJdkO2flnCZVK43ztfIctSPDwsyVpGBmAwyGZRyQhbSAiQni6LpWSErVkzy2ZUXi7rS7WXyyVsTZs2RUZGBsxmMzRXh0wyMjIAACEhIfj111/t2qelpSHo6uHHkJAQpF2zI0xLS4Nebxnh0Gq1MFbZMdyKiwz0er3t9W3OnpXvGQDLTkvNT3lVlZWy/tLhq6pxXPSnldLVJ111ir79rEwmWX%2BlZVCkC3XlirI4xcXyvtfcbdxhKSmyvkVFyuKUlMj7Xr6sLFZBgfK%2BalOyzwPE%2B71ywe%2BXqgwGeXKjdNdlMMgOPyrdF5WX157DnC76NVCruNwJRpGRkTCbzVi%2BfDkMBgPOnTuHVatWAbAUV92zZw/%2B85//oKKiAidOnMDKlSvxyCOPAADGjBmD9957D8ePH0dFRQX%2B85//YM%2BePRg5ciQASy2wr776CmVlZcjNzcXatWvtYnt4eKBQOuxCREREN8SLDpzncgmbj48P3nnnHXz11Vfo2bMnnnrqKfTp0wc6nQ6dO3fG4sWLsXLlSnTv3h3Tp0/HY489hqlTpwIA/vKXv2DcuHH4%2B9//ju7du2PFihVYuHAhevbsCQB45plnUFxcjD59%2BmDChAkYNmyYXezRo0fjrbfewjPPPFPjy01ERET0R1zukGh%2Bfj6MRiO2bt1qm/bhhx/azkOLiopCVFRUtX3d3NwwZcoUTJkypdrn27Rpg/Xr19tNGzt2rO3fkydPxuTJk51dBCIiIqriThsNU4PLjbBVVFTg8ccfx969ewEAFy9exIYNG9CvX7/bPGdEREREt4fLjbAFBgZi0aJFWLBgAZ588kn4%2Bflh5MiRmDRp0u2eNSIiIlKAI2zOc7mEDQAefPBBPPjgg7d7NoiIiOgWYMLmPJc7JEpERERE9lxyhI2IiIjqDo6wOY8jbEREREQujiNsapAWg7YW%2BPbykhX7dqYeqLDGp7gIuZVwXWgKFFSfcHMD/PygKbwiumX4qVMNRWF8fIDwcODCBVklol5el0RxAFjeH73ecmf70lKHu10M6CwKo9MBjf2A7FI/UUGFu6R1b63bW0CA/POxZ4%2BsvfVzsWKFrAKBsE4nIiIsdU7/%2Bld5NYbx42XtW7QARo2yxLtwweFuuiFDZHHc3YGgIOgKcmUl0QBLmTMl7bVaUV/p5mMt/uHlJa%2BwJ2WN5e0t22VKR5%2BsxeXr1VNe3KSmcYTNeUzYiIiISFVM2JzHQ6JERERELo4jbERERKQqjrA5jyNsRERERC6OI2xERESkKo6wOY8JGxEREamKCZvzeEiUiIiIyMVxhI2IiIhUxRE253GEjYiIiMjF1boRtsjISOTm5sL96m2kzWYzWrRogfHjx2PMmDE37Z%2BcnIwJEybg5MmTas8qERERgSNst0KtS9gA4OWXX8aoUaMAAAaDAd988w1eeOEF5OfnY8qUKbd57oiIiKgqJmzOq/WHRD08PPDQQw/hueeew7Jly1BUVIRDhw5hwoQJuPfeexEeHo5Ro0bhyJEj1fY/fvw4YmNjERERgXvvvReLFy%2BG2Wyu4aUgIiIi%2BmO1coStOg888ABmz56NgwcP4tlnn0ViYiIee%2BwxlJWVYebMmXjjjTewYcMGuz4FBQWIi4tDbGwsVq1ahaysLMTGxqJx48YYO3asQ3FzcnKQm5trNy1Io4E%2BKMjxmbdWCVZaYL0uUVKduWoRaQFpEWkvL/tHh3l6CzsA8PS0f3SQtBC04k3PW7hMCpcHgLwIufWNlb7BERGy9u3a2T9KtGgha9%2Bkif2jo6RvrDP7ImtFckdZN1bhRqsT7iJqcveqNJZ0jEBpHINB1v5W4gib8%2BpMhtCwYUMAwG%2B//YZNmzahRYsWKC8vR3p6Ovz9/XH06NHr%2Bnz99dfw9PREfHw8NBoNmjdvjvfffx8%2Bgh39pk2bsGzZMrtp0%2BPjkZCYqGQh5H2Ukn6zK6XRyNr7%2BSmP5esrah4erixMmzbSHm2VBQLEX%2ByNFYYJCBB2aKwgSQGAVq2U9VOiY0dZ%2B0OHlMW55oegquLjayZOTe6L9HpR82CFYQIDFXZ04ViScQEAuHBBnflwBBM259WZhC0vLw8AEBAQgOTkZDzxxBMoKSlB69at4e7uXu1hztzcXDRp0gSaKknF3XffLYobHR2NyMhIu2lBGg1wzajbDbm7W3aQ%2Bfmy0QR/f8fbVqXTAUajrI%2BSn6cajfynY2GhPI5Wa0nWiopEe4WjF2TJoZeXJVk7fRooK3O8X7jnKVEcAJaRqBYtLHvY8nKHu2U3kCWH7u6WZO3yZdmm1zg/RRQHnp6WZC01VbQ8AOTbhI%2BPJVk7fhwoKXG831//KovTrp0lWYuJAVKE62PQIFn7Jk0sydrbbwOZmY73mzFDFkfpvgiQD9/odJZkLSdHtD/KcgsRhXF3tyRQly7JF0lKaSwlI2xBQZavGbWXiVxHnUnY9uzZAx8fH%2Bh0OiQlJWHjxo3o1KkTAGD16tVITU29rk9wcDAyMzNhNpttSduXX36JoqIijBgxwqG4bczsnwAAIABJREFUer0e%2Bmt/IWZmKvsUmUz89FVUKO9bWSnqL/kur6qsTNi3slRZIMCS3JQ63t8oPApoZTIJc3jBPNkRLg8ASyKuREmJrO/hw8ripKTI%2B0pH/6wyM2XDJEr3J0r2RUqPtxmNor5Ghd9a4m3cCdJYSkefTKbbe5hTgiNszqv1Fx0YDAbs2rULCxcuxN///ncYDAZotVp4XT3R6MiRI1i7di0M1WzVDzzwAEwmE5YvXw6DwYBff/0Vr732GsqlIwBEREREKqqVI2xz585FUlISAMDT0xN33303Xn75ZQwaNAhmsxkxMTEYN24cKisrcddddyE2NhZvvvkmLl26ZPc6fn5%2BWLVqFebPn4/3338f3t7eGDduHKKjo2/HYhEREdVJHGFzXq1L2Pbs2XPD5zUaDZ5//nk8//zzdtMnTZoEAAgMDLS7aW779u2xdu3aWz%2BjREREBIAJ261Q6w%2BJEhEREdV1tW6EjYiIiGoXjrA5jyNsRERERC6OI2xERESkKo6wOY8JGxEREamqNiZsJSUlSEpKwp49e2AymRAVFYW5c%2BeiXr161bbfvXs33nnnHaSlpcHf3x%2BjRo3CtGnToL1aNnHgwIHIyMiw/R8Atm7ditDQUIfmhwkbERER0TWSkpKQmZmJ3bt3o6KiAk8%2B%2BSQWLFiAuXPnXtf22LFjePbZZ7Fo0SLcf//9SE1NxRNPPAEfHx/ExcWhqKgIqamp%2BOqrrxASIqvWYcVz2IiIiEhVlZXq/OXk5OD48eN2fzk5OU7Pb2lpKT799FMkJibC398fAQEBeOaZZ7Bt2zaUVlOtJT09HWPHjkW/fv2g1WoRGhqK/v3748cffwRgSej8/f0VJ2sAR9jUISk0CQAeHpZHg0FUZ6SoXF7AXasFfHRAiVEnGqL2VpDau7kBFZWy4u9u8jCKSSseWUvOlpYK%2B%2BoVFLS3bhP16llqLjpIWpPQ2t5sFvaV1rG1Lk/9%2Bpa6ohI//SRrHxAA9OgBpKVZiqQ6avx4WZwWLSyPgwbJS02tWydrHxEBvPoqsGuXrAzWggWyONZDNVrt7/921DU3Jr8pHx8gJAQoKBDVetM0aSUKY/3cajS//1stSmO5CXd8Vd8mad%2B6ZtOmTVi2bJndtOnTpyMhIeGmfcvKypCdnV3tc6WlpTAajWjb9vf6zKGhoSgrK8P58%2BfRvn17u/YDBgzAgAED7F77m2%2B%2BwdChQwEAR48ehbe3N8aPH4/Tp08jJCQECQkJ6Nevn8PLyoSNiIiIVKXWOWzR0dGIjIy0mxYUFORQ359//hkTJkyo9rkZM2YAAHx8fi/Q7O3tDQAoLi6%2B4esWFRVhxowZ8PLywsSJEwFYbuofHh6Op556Ck2bNsXnn3%2BOhIQErFu3Dl26dHFofpmwERERkarUStj0ej30er2ivr169bKrfFTViRMnsHjxYpSWltouMrAeCvX19f3D1zx37hwSExMREBCAtWvX2tpOnjzZrt2wYcOwc%2BdO7N692%2BGEjeewEREREVXRqlUr6HQ6nDlzxjbt7Nmz0Ol0aNmyZbV99u7dizFjxqBv375YtWoVGjRoYHtu1apV2L9/v117g8EAT8EpIkzYiIiISFVqXXSgFm9vbwwcOBALFixAXl4e8vLysGDBAgwZMgReXl7XtT9y5Aji4%2BPxwgsv4LnnnoO7u/0BzMzMTLz88stIS0uDyWTC1q1bcfjwYYwcOdLheWLCRkRERHSNuXPnomXLlhg6dCgefvhh3HXXXZgzZ47t%2BcGDB2P58uUAgOXLl8NkMmHevHmIiIiw/VkPhT777LO47777EBMTg%2B7du2Pjxo1477330MJ68ZIDeA4bERERqao23jjX19cXSUlJSEpKqvb5zz77zPZva%2BL2Rzw8PDBz5kzMnDlT8fwwYSMiIiJV1caEzdXwkCgRERGRi%2BMIGxEREamKI2zOc/kRtvj4eDzzzDN20z755BOEhYXhzTfftJu%2BaNEijBo16oavl5ycjLCwsFs%2Bn0RERERqcfmE7YEHHkBycrLdtK%2B%2B%2BgoRERH4v//7P7vp%2B/fvv%2B6Ox0RERHR71bbbergilz8kev/992P27Nk4e/YsQkNDYTAYsG/fPqxZswbjxo2zTS8sLMTRo0cxZ84cHDp0CIsWLcK5c%2Bfw22%2B/oU2bNpgzZ061dxM%2Bfvw4Xn/9dRw7dgz16tXDmDFjkJiYCI2DheBycnKQm5trNy3IaITewdIYAH6vFSmoGQnIS/0B9rXulPRXnZLCeFUL6wnUry8LY61QUqVSiWOsdTQlFG4TOuHqs94qyF26J9AKl0nh8gCw1AaVsNY5ldY7FVxeDwBo0sT%2BUSIiQta%2BXTv7R0dJ31jr50/J51D6wbDey6qae1rdiHQTUryNK1BTsZTGMRpv/bw46k5LrtTg8gmbXq9Hhw4d8MMPPyA0NBTfffcd9Ho9OnfujB49euCrr75CaGgokpOTERgYiNDQUNx///1ITEzEY489hrKyMsycORNvvPEGNmzYYPfaBQUFiIuLQ2xsLFatWoWsrCzExsaicePGGDt2rEPzV23h2fh4JCQmKllYUXNp3lDV1ZJoqhPv9/0UFEq3ukG5kOr07KksTKdO0h4hygIB4m0iWGGYwEBpD4XLpKSEzE1Oc/hD0tF2pXHi4%2BV9Xn1VWaxr9mGqkSa7gDyxtgoNFTVvrCyK4tlz5VjSOBcvqjMfVDNcPmEDLKNsycnJGDduHL788ktERUUBACIjI7Fz505MmTIF3333Hfr16wedTodNmzahRYsWKC8vR3p6Ovz9/XH06NHrXvfrr7%2BGp6cn4uPjodFo0Lx5c7z//vt2xV5vptrCs0YjkJ7u%2BALqdJYvspwc0U%2BgkobyL02NxpKslZYCZrPj/QTVM2zc3ICKCmGf4ivyQFqtJVkrKhL9jDuQIksOfXwsydqxY0BJieP9eoYItgUrhdtElptsm3B3tyRrly4BJpPj/YIrhMukcHkAANecEnFT/v6WZG3PHqCgwPF%2Bhw7J4jRpYknW3n4byMyU9d21S9a%2BXTtLshYTA6SkON7vmtNGbsrNzbL%2BCgrkH96sLFl7Ly9Lsnb2LFBW5nC37MCOojDu7pbE5vJl2TauRE3FqsllulU4wua8WpGwPfDAA9iwYQNMJhO%2B/vprLF26FIAlYZs/fz7y8/Px/fffY%2BbMmXBzc0NycjKeeOIJlJSUoHXr1nB3d4e5muwkNzcXTZo0sTv8effdd4vmrdrCs6mpgMEgX1CjUdRPyQfAetTQbHbRD5D0S6KqykpR/8JCZWFKSoR9lWwLVsJtwqjwE20yCfMok8JlEi4PAMu3khIFBbK%2BFy4oi5OZKe97%2BLCyWCkpsr5Kv80rKuR9Jb9iqiorE/VVelhPvI07oaZi1eQy0e1XKxK28PBwaLVabN%2B%2BHWazGRFXz/8ICQlBmzZt8MknnyAnJwf33HMPfv75ZyQlJWHjxo3odPXY1erVq5Gamnrd6wYHByMzMxNms9mWtH355ZcoKirCiBEjam4BiYiI6jCXHCCoZVzxtPPraLVa3HfffVi%2BfDn69esHbZWTyyMjI/HBBx/gz3/%2BMzw9PVFYWAitVmsrznrkyBGsXbsWhmp%2B1T/wwAMwmUxYvnw5DAYDfv31V7z22msoLy%2BvsWUjIiKq63iVqPNqRcIGWM5jS0tLu%2B58saioKGRkZKBfv34AgD59%2BiAmJgbjxo1Djx498PLLLyM2NhZ5eXm4dOmSXV8/Pz%2BsWrUK%2B/fvx7333ovY2FiMHTsW0dHRNbZcRERERDdTKw6JAsCgQYMwaNCg66Z36tQJJ0%2BetP1fo9Hg%2Beefx/PPP2/XbtKkSQCAwMBAu/bt27fH2rVrVZprIiIiutNGw9RQa0bYiIiIiO5UtWaEjYiIiGonjrA5jwkbERERqYoJm/N4SJSIiIjIxXGEjYiIiFTFETbncYSNiIiIyMVpzNXVbCKnSCvpKC3fJyh5aqPRWEr4lZXJaol6uyuof6LTieumVGh18jhQVrf0mtvy3ZTS%2Bn2NtbmyQNZgDRsC%2BfnqFyVUEkf6c9mJ4ofGRvJy3wo2PeguCeuBursDQUFAbq78PdIKfysrXX/BwbI4ERGWmqpdu4rLZ%2BXnyb5K3NwAPz/gyhXZZ9ddeFxIqwXq1QOKi9Uf5ampWM7EqV9fnXm6mQ8%2BUOd1H39cndd1RTwkSkRERKriIVHn8ZAoERERkYvjCBsRERGpiiNszuMIGxEREZGL4wgbERERqYojbM5jwkZERESqYsLmPB4SJSIiInJxHGEjIiIiVXGEzXl33Ajb%2BfPnb/csEBER3VEqK9X5u5O4RMJ28eJFhIWF4eLFi7f8tSMjI7Ft2zYAwPr16zF79uxqnyMiIiJyVXfUIdG8vLzbPQtERER3nDttNEwNLjHCZvXpp59i4MCB6NKlCyZOnIjs7GwAwPfff4/Ro0eje/fuGDx4MHbs2GHrU1RUhBdffBEPPfQQunTpgr59%2B2L58uXXvfbHH3%2BMFStW4KeffkL37t1t048fP46xY8eia9euGDx4MA4cOKD%2BghIREREJuNQI2/Hjx7F582ZUVlZi4sSJePvttxETE4O//e1v%2BOc//4moqCj8/PPPmDZtGho2bIi%2BfftiwYIFuHjxIrZu3Yr69evjiy%2B%2BQGJiIgYOHIgWLVrYXnvkyJG4ePEiDhw4gA8//NA2/dtvv8XKlSvRtGlTvPTSS5g9ezZ2797t8Dzn5OQgN9e%2BuLeHRxCCgvQOv4abm/2jozQaWfuqfZT0rWukRaSVvk/QKviYKQ5WQ3GkP5dranmcId0grO2l/QB58Xel6y8iQta%2BXTv7RwHprFlXgXRVKG0v7adETcVSGud2jnJxhM15LpWwTZ06FfXr1wcA9O3bF7/88gs2btyIqKgoPPTQQwCArl274tFHH8X69evRt29fJCQkwM3NDb6%2BvsjKyoKnpycASyJVNWH7I9HR0WjevDkA4OGHHxaf07Zp0yYsW7bMblp8/HQkJiaIXgcAri56jbi6mgR0ygLpZP2c%2BTqXfmEEBCiL4%2B8v7dFQWSAA8PNT3tcV48hXntItT7rpAUFBygI1dOL9lZKuv0OHlMXZsEHcRekW5OursKOQt3fNxKnJWNI4hYXqzIcjmLA5z6USNv8qOyOdToeKigqkp6fjhx9%2BsDuMWVFRYUuyLl%2B%2BjHnz5uHEiRO466670KlTJwBApYNbR3UxJaKjoxEZGWk3zcMjCAUFjr%2BGm5slWSssBCThvbwcb2ul0ViStfJywGwWxHIzyoPpdIBR1q9Cq%2Bzr2c1Ntu4AiN4jawx/f0s/SawAbb4skDWYnx9w5Yp8wWoijpIRNiUrD4DRT55ZK9j0oCvIvXmjqtzdLclafj5gMsn6KhlhU7L%2B%2BveXxWnXzpKsxcQAKSmirle%2BkSWHWq0lWSsqkm1OSkbyvL2B0lL1k4aailWTy0Suw6UStuoEBwdj5MiReOWVV2zTcnJyYL6abcyYMQORkZFYtWoV3N3dkZ%2Bfj82bN9fY/On1euj19oc/L19W9h1bUSHrJ0m4quvrTP%2B6QPoda1VRIeyrVRhIUbAaiqP0W6KmlkcJpfNlMqmfsFlJ19/hw8ripKSI%2Byr9XVFZKeur9HSOmrwNRE3Fqk23tqgt8%2BnKXOqig%2BqMHj0aO3fuxLfffovKykqcP38e48ePx%2BrVqwEAhYWF8PLygpubG/Ly8vDqq68CAIzV/Lz29PREUVGRLdkjIiIiqg1cPmHr3LkzFi5ciIULF6JHjx4YP348IiMj8fTTTwMA5s%2Bfj127dqFr164YNWoUGjdujA4dOuDUqVPXvVa/fv1QUFCAbt264cqVKzW9KERERHck3jjXeRozh5tuucuXZe2Vnp7i4yOLA1gOJ3h5AWVlskOi3u517xy2S5dk7d3dLRcqXL4sOyrVWCs8N8oaTOn5UTURR7qnVLryABgbNZbFgsJz2C5lyjq4u1suVMjNVf%2BQqNL1FxwsixMRYblQoWtX8SHR/DzZV4nS0yelF%2BVqtUC9ekBxcc2cw1YTsZyJU5MXt1X1j3%2Bo87rPPafO67oilx9hIyIiIrrTufxFB0RERFS73WmHL9XAETYiIiIiF8eEjYiIiFRVGy86KCkpwQsvvIBevXqhW7duePbZZ1FcXPyH7efOnYtOnTohIiLC9rdp0ybb8ytXrsR9992HLl26IDY2FufOnRPNDxM2IiIiUlVtTNiSkpKQmZmJ3bt344svvkBmZiYWLFjwh%2B2PHj2KpKQkHD582PYXHR0NwFLP/MMPP8SqVauQnJyMjh07IjExUXSbMSZsRERERFWUlpbi008/RWJiIvz9/REQEIBnnnkG27ZtQ2lp6XXtDQYDTp06Zau2dK3NmzcjJiYGbdq0gaenJ55%2B%2BmlkZGQgOTnZ4XniRQdERESkKrVGw3JycpCba3/rpKCgoOsqEFWnrKwM2dnZ1T5XWloKo9GItm3b2qaFhoairKwM58%2BfR/v27e3ap6SkwGQyYcmSJTh48CDq16%2BPRx55BJMnT4ZWq8WZM2fwxBNP2NrrdDq0bNkSKSkpuOeeexxaViZsKgi4dFLWwdMT8G8J/4LzliKfjlJSsNvdHfAKgleh8N5R0vs5VY0nYDLIQ2g0v9%2BHTXJvuXr1ZHGst87y9hbufAqduI%2BasOxRtraJ6OXdK4EAAJcrG8IkWKbGgQrrECkp/n7%2BrKyDhwfQrBl0WWmAQbBBSe%2BN5uFheTQYZHEA%2BU0AfXws92HLygJKShzupujeaLDUBZXe17BhI2HNqKv3fPN7QHjPN0Xf/BrU85HfcrS0TLZM1rJZbm6yzUnRfS6hQz0PZf3qkk2bNmHZsmV206ZPn46EhISb9v35558xYcKEap%2BbMWMGAMCnyg1Pvb29AaDa89gKCwvRs2dPxMbGYuHChfjf//6H%2BPh4aLVaTJ48GcXFxbb%2BVl5eXigRfJ6ZsBEREZGq1Bphi46ORmRkpN20oKAgh/r26tULJ09WP8By4sQJLF68GKWlpah39de99VCor6/vde379OmDPn362P7/pz/9CY8//jh27dqFyZMnw9vbG2VlZXZ9ysrKbK/tCCZsREREpCq1Eja9Xu/Q4U%2BpVq1aQafT4cyZM%2BjcuTMA4OzZs7ZDmdf68ssvcenSJYwdO9Y2zWAwwMvLCwDQpk0bnD59Gv369QNgqXd%2B/vx5u0OuN8OLDoiIiIiq8Pb2xsCBA7FgwQLk5eUhLy8PCxYswJAhQ2xJWFVmsxnz58/H/v37YTabcfjwYaxdu9Z2legjjzyCdevWISUlBeXl5XjzzTcRGBiI7t27OzxPHGEjIiIiVdXGSgdz587FP/7xDwwdOhRGoxFRUVGYPXu27fnBgwdj6NChmDp1Kvr3748XXngBL730ErKzsxEYGIiEhAQMHz4cADB69GgUFhYiPj4eeXl5CA8Px4oVK6DTOX5OIRM2IiIiomv4%2BvoiKSkJSUlJ1T7/2Wef2f1/7NixdodEq9JoNIiLi0NcXJzi%2BWHCRkRERKqqjSNsroYJGxEREamKCZvzeNEBERERkYvjCBsRERGpiiNszrulI2zbtm277gZ2REREROQcjrARERGRqjjC5jxFCduePXvw3nvv4cKFCygpKUF4eDheffVVAIDJZMI//vEPfPLJJ/Dx8cHYsWMxadIkaDQanD59Gi%2B99BJOnToFX19f9OzZE7Nnz4avry8MBgPeffdd7NixA4WFhejcuTNefPFFtGjRAgAQFhaGF198EevWrUNOTg7CwsLw8ssvIywsDADw3Xff4a233sLZs2fRsGFDxMXFYfz48QCA77//HgsXLsT58%2BfRuHFj/PWvf8WwYcMA4Ibz5IhqC8%2BWlkIfGOj4CrXWJLQ%2BOkpYp9Ouj5K%2BNUAjLEdYtY%2B0r7R0ZNU4or41%2BD65C5fJzc3%2B0SVJPxfW%2BxoJ7m8EQL5BKI0DWGqDSlhv1FnNDTtvRPq%2BWleBdFUAsNQGlWjXzv7RBUn3KUr3RXcCJmzOE3%2BTZGVlYcaMGVi8eDEiIyORn5%2BP6dOn4%2B2330bv3r2RnZ0NrVaLb775BqdOncKkSZMQGBiIESNG4OWXX0bv3r2xbt065Ofn4/HHH8eWLVvwl7/8BW%2B99RZ%2B%2BOEHrFmzBnq9HitXrkRcXBx27doFT09PAJZ7nqxbtw5eXl5ITEzEG2%2B8gVWrViE1NRVTp07F3LlzMWLECKSkpGDChAlo0aIFgoKC8Le//Q3//Oc/ERUVhZ9//hnTpk1Dw4YN0bdv3xvOkyOqLTwbH4%2BExETpqgWaNpX3Uaphw5qJI9xzSb%2Bbq5J%2BbyqNdU393pvzcayuXbWE71OAwjDymuwKMzwlmWGzZspiBQcr6yelpCxOSIiyWKGhouZ%2ByqLAwd%2Br9g4dUhZswwZl/aQUZFHC/Njm6leWgMKC7NKdnlFJsXhyFeKErVGjRvjss8/QvHlzFBUVISsrCw0bNkR2djYAoGHDhnjqqafg5uaGTp06ITo6Gjt27MCIESPg6emJffv2ITQ0FL1798Ynn3wCrVYLs9mMjRs3YsmSJWh2deccHx%2BPzZs345tvvsGAAQMAALGxsbairgMHDsSKFSsAWBK5jh07YvTo0QCATp06YcOGDdDr9ViyZAmioqLw0EMPAQC6du2KRx99FOvXr0ffvn3/cJ4cVW3h2dJS4Px5x1eqh4clWcvIAAwGx/sJisbauLtbkoD8fMBkcryfZMTQSqMBzGZRF4NRvlPVaCz7LaNRFk6y%2BNY43t5Aaaksjk9x7s0bXUvh%2B3RZK0sO3dwsyVpBAVBR4Xi/AH9B46rBJEGsMjJk7XU6S7KWlSX7glIywqbXAzk58i/CggJZey8vS7J29ixwTQHpG7nSrKMojFZrSdaKiuQjIn4PdJV1aNfOkqzFxAApKY73O3hQFgdQtC8CgLJy2f5Io7Eka%2BXlsnBebgoSKetOr5bgCJvzxAmbTqfDzp07sXHjRmg0GrRt2xZFRUVwv3ropkmTJnCr8iu6SZMm%2BOqrrwAAixYtwtKlS/HWW2/hqaeeQteuXfHSSy%2BhUaNGKCkpwYwZM%2BySJaPRiPT0dNv/A6skDe7u7jBf/UTk5OSg6TWjU%2B2uDrOnp6fjhx9%2BsKvXVVFRgebNm99wntq0aePQ%2Bqi28OzJk5ZPrJTBIOsn/xn3O5NJnrHUAAX7VLu%2Bkv7SHYh10zSbhX2dWc/C98mk8DKiigqX3BwsJD9iqjIaZX0VHQdUEAcASkqUxSorE/VVkh8Dlu1b3PfwYWXBUlKU91WZ0v2RdF9E5Ahxwvaf//wH69atw7///W/b%2BWVJSUk4deoUACA3Nxdmsxmaq8PPaWlpCAkJQWVlJU6cOIGEhATMnDkTmZmZmD9/Pp5//nls2bIFnp6eWL16Nbp06WKLde7cOTRu3Pim89SkSRPs3bvXbtpHH32EgIAABAcHY%2BTIkXjllVdsz%2BXk5MBsNt9wnj766CPpqiEiIqJqcITNeeKflIWFhdBqtfDy8oLZbMZ///tfbN%2B%2BHcarQ7O5ubl49913YTAYcPjwYWzZsgVjx46FVqvFq6%2B%2BikWLFqG8vByNGjWCp6cnGjZsCK1Wi9GjR%2BPNN99EVlYWKisr8fHHH2PIkCG4cOHCTedp8ODBOHHiBLZv346KigocO3YMr7/%2BOtzd3TF69Gjs3LkT3377LSorK3H%2B/HmMHz8eq1evvuE8ERER0a1RWanO351EPMI2cuRIHDx4EIMHD4abmxvuvvtuPP7441i/fj2MRiPCwsJw8eJF9OrVC0FBQXj22Wdt53gtWrQISUlJuPfee1FZWYkePXrYiqo%2B99xzWLp0KWJiYlBQUIBmzZphyZIl6NChw03nqXnz5njvvffw5ptvIikpCQEBAXj%2B%2Bedx7733AgAWLlyIhQsXYsaMGfD29saQIUPw1FNP3XSeiIiIiFyBxmzmkfZb7uRJWXtPT6BlS8uFCpJz2PwUXAPm7g4EBQG5ubKTlpRccafgRN9yg7KLDjw8LKcRScJJz9fVai13Yygpkf2y8y3MlAUCFL9P2dom4jABAcDly7LNoXFgDV50ILmAB7BsDM2aAWlp6p7D5uFhudozPV1%2BDtulS7L2Pj5Ax47A8eOic9jyW/cQhXFzs%2BxWrlyRv1UNGwk/uxERlitLu3aVncOmZFhF4UUHpWXyiw68vCynGkrCebvX4EUHSm5Dcwv87W/qvO6776rzuq6ItUSJiIiIXJxr3j2ViIiI6ow77XwzNTBhIyIiIlUxYXMeD4kSERERuTiOsBEREZGqOMLmPCZsREREpCombM5jwqaC34LDRO21WqA%2BgMKAlqKNusGpH2UzBlhuDxAUZKl/KCmPk5Uli%2BPtbakVePKkpfimg67cFSGLA8utKTw8gOJi2a0pgi79TxbIywto1Qo%2B2amieo7/PtJeFgeWMqIPPwx8fjAI%2BfmO93tslLAkmkYDwAMB9YX3RNF6yOLY%2BsnPwjhpkhU893QDWgI4X9EM5YLtwcdHFAY6NyAYQJZbCIzCPammSStZLB3QGEB2YEfRnRwaCOfL%2Bva4uSmola70G1laG1S6DVlvH9Ktm7gElncT2W1yEB4O7N4Nr%2BEDgKNHHe8nvdVGp07AZ58BI0YAx47J%2BjpwM3pyTUzYiIiISFUcYXMeLzogIiIicnEcYSMiIiJVcYTNeUzYiIiISFVM2JzHQ6JERERELo4jbERERKQqjrA5jyNsRERERC6OI2xERESkKo6wOY8JGxEREamKCZvz6vQh0YyMDMydOxeRkZHo0qULevbsiUmTJuG77767ru3hw4cRHh5%2BG%2BaSiIiI6MbqbMJ26tQpDBs2DAaDAStXrsTBgwfxxRdfYNiwYYiPj8fevXsBAGazGVu3bkVcXBwMBsNtnmsiIqK6p7JSnb87SZ09JDpnzhz06dMH8%2BfPt03z9/fH8OHDUVlZCePVgnwzZ87EuXPnkJiYiNdff/12zS4RERHRH6qTCVtWVhZcVoM8AAAgAElEQVQOHz6MNWvWVPv8yJEjbf%2BeMWMGgoODkZycrChWTk4OcnNz7aZ5ewchKEjv8GtYaxmL62JLq1UDlgLmVR8d5eYma%2B/paf/oIHcFW6R11qSzKF4HHh72jw5q2FAWBgD8/OwfHSat2G1tL670XXOEm5DSt0lcf9u6rSrZZqWrW2ks6T5F8b6oJkVEyNq3a2f/KBEUJGvfurX9o6Okb2xoqP2jo6SF4m%2BhO200TA0as9lsvt0zcasdOXIE0dHR%2BPzzz9GqVSsAwP79%2B5GQkAAAqKiogF6vx%2B7du219kpOTMWHCBJw8eVIUa%2BnSpVi2bJndtPj46UhMTHByKYiIiG6hFi2ACxduS%2Bjhw9V53U8%2BUed1XVGdHGELuvqrKDs725aw9e7dGz/99BMAYNu2bdclWUpFR0cjMjLSbpq3dxAKCx1/Da0WqFcPKC6W/Qqp/%2BtxxxtbeXlZfpWdPQuUlTneT8kIW6tWQGoqUF7ucLf8xvJfwW5ulpGoK1eAigrH%2BzUsSJUF8vAAQkKA9HRAcL7j5ydbyeLAsjx//jPw/feW5XLUw5HC8zA1GsvQktEISH67SYejrLEU/D48f0E2HOXhATRtCmRkiN4m8YCruzsQGAhcugSYTLK%2BSkbYAgKAy5dlsXx9ZXG0WsDbGygtlY%2BI1PNR8NtfyTbRrZusfbt2wIYNQEwMkJIi66tkhO3tt4H4eODMGcf7KRlhW7IESEy07MvpjlAnE7aQkBCEh4djy5YtuOeee1SNpdfrodfbH/787Tdlw7/ikyhLSuRBrMrKZP2VHPcBLMlaaanDzaVffFVVVAj7SxLWqgwGUd/8fGVhAEuyJuqvdMDcbFbeV2WCfN%2BOwSDrKz6kfpXJZMl3JZQegZbGUnoYyqVP6D58WFm/lBR53yZNlMU6cwY4etTx9kp%2BAAGWZO02HuaUcNntqRZx5TMVnPLaa69h3759mD17NlJTU2E2m1FUVITt27dj6dKl1yVZRERERK6qTo6wAUDbtm2xc%2BdOrFy5ElOnTkVubi40Gg3CwsIwefJkjBkz5nbPIhER0R2BI2zOq7MJG2A5XDlr1izMmjXrpm179eolvuCAiIiIbo4Jm/Pq7CFRIiIiorqiTo%2BwERER0e3HETbncYSNiIiIyMVxhI2IiIhUVRtH2EpKSpCUlIQ9e/bAZDIhKioKc%2BfORb169a5rO2fOHHz66ad208rKyvDnP/8Zq1atQmVlJbp16waz2QxNlfv6fPfdd/BxsGoREzYiIiJSVW1M2JKSkpCZmYndu3ejoqICTz75JBYsWIC5c%2Bde1/aVV17BK6%2B8Yvv/t99%2Bi6effhrPP/88AODMmTMwGo04dOgQPKR1867iIVEiIiKiKkpLS/Hpp58iMTER/v7%2BCAgIwDPPPINt27ah9CY3g8/Ly8MzzzyDWbNmoU2bNgCAo0ePIiwsTHGyBnCEjYiIiFSm1ghbTk4OcnNz7aYFBQU5dHP8srIyZGdnV/tcaWkpjEYj2rZta5sWGhqKsrIynD9/Hu3bt//D112wYAE6deqEYcOG2aYdPXoU5eXleOSRR5Ceno7Q0FA8/fTT6Nq1603n04oJmwrS0mTtvbyA%2BvWB7GxZtaQGSkorWevvlJfLgkmLEiqkpNqW9QdLWZmsdqS4eKQ1kPAXkpJyW9aaqOJyW0pLiAnrMhlN8tpKOp2yftIdvbXCltlcOw/D1FalZbL3VqOxfATLyjWiqmje0nJR1nqgQUHyUlOZmbL2wcGWx9xcWV9vb1kca726/HxLrDvYpk2brqsNPn36dCQkJNy0788//4wJEyZU%2B9yMGTMAwO78Mu%2Br71NxcfEfvmZaWhp27NiBLVu22E338vLCn/70J8yYMQMNGjTA%2BvXrMWnSJOzYsQPNmjW76bwCTNiIiIhIZWr9eIqOjkZkZKTdtCBrkn4TN7ph/okTJ7B48WKUlpbaLjKwHgr1vcEAxkcffYSIiIjrRuCs57JZTZo0Cdu2bcPevXsxfvx4h%2BaXCRsRERGpSq2ETa/Xq1IbvFWrVtDpdDhz5gw6d%2B4MADh79ix0Oh1atmz5h/2%2B%2BOILxMXFXTf9rbfewoABA9ChQwfbNIPBAE9PT4fniRcdEBEREVXh7e2NgQMHYsGCBcjLy0NeXh4WLFiAIUOGwOsPTqfJz8/H2bNn0aNHj%2BueO3XqFObNm4fc3FwYDAYsW7YMRUVF6N%2B/v8PzxISNiIiIVFVZqc6fmubOnYuWLVti6NChePjhh3HXXXdhzpw5tucHDx6M5cuX2/5/8eJFAEDjxo2ve6358%2BejefPmGD58OHr16oUDBw7g/fffh7%2B/v8Pzw0OiRERERNfw9fVFUlISkpKSqn3%2Bs88%2Bs/t/eHj4H54T5%2B/vj/nz5zs1P0zYiIiISFW8Ytt5TNiIiIhIVUzYnMdz2IiIiIhcHEfYiIiISFUcYXNenU7YMjIysGLFCuzbtw95eXnw8PBAeHg44uLi0KdPHwDA7t278c477yAtLQ3%2B/v4YNWoUpk2bBq2Wg49ERETkGupswnbq1CnExMSgf//%2BWLlyJVq2bInCwkLs3bsX8fHxWLx4MQICAvDss89i0aJFuP/%2B%2B5GamoonnngCPj4%2B1d74joiIiOQ4wua8OpuwzZkzB3369LG7jNbf3x/Dhw9HZWUljEYj0tPTMXbsWPTr1w%2BApbBr//798eOPPzqcsFVXeLawMAhBQY7fedl6o2PBDY8trpbLELHWrJPWrpO2V7hQwjKdAH4vnykuo1kpDKbT2T86qFEjWRgA8POzf7yT1VDJV%2Bnbqny7g6WOZk3Ekh4osLZXcoBBukzW9tJ%2BCA%2BXtW/d2v5Rwlob1FHt2tk/Okq6kVsLklcpTO6QI0dk7W8hJmzO05jNkrK7tUNWVhbuv/9%2BrFmzBr1793a4X1lZGYYPH46hQ4di%2BvTpDvVZunTpdYVn4%2BOnIzHx5oVniYiIaoyPD1BScltCR0So87qHD6vzuq6oTo6wZWVlAQCCq/w62r9/PxISLElURUUF9Ho9du/ebXu%2BqKgIM2bMgJeXFyZOnOhwrOoKz165EoQzZxyfX09PoFkzIC0NKC93vF/rK4ccb2zl7Q20bw/873/A1UK2DvHxkcXx9ARatQJSU0ULldlA%2BMsUllGHoCAgNxcwmRzv16QyXRZIpwP0eiAnBzAaHe722ZEQWRxYRtb69gX27QOuXHG83%2BCHK8Sx4OYGVMj6GSvdxGF0OtFqs7l683CHeXgAISFAejpgMDjeTzqI7O4OBAYCly7JtjtA2QhbQABw%2BbIs1g1qVFdLq7Wsh9JS%2BYiIm3CT0Ggsu4nyckAybOA1fIAsUOvWwNtvA/HxEO2YActORaJdO2DDBiAmBkhJcbyfkhG2NWuAiROBU6dkfW8TjrA5r04mbEFBQQCA7OxstGrVCgDQu3dv/PTTTwCAbdu22Y2KnTt3DomJiQgICMDatWvhK9jLVVd49tgxoKxMPt/l5cJ%2BxcXyIFalpbL%2B4uMWV5WXixJDg/BLsyqTSfYFjUpJ4yqMRlGgvDxlYQBLsuZM/7pAyWcJsLxFkr5KDm0Clu1Omogq/ThJYyn9klRS9kfpdVpmsyxhw9GjygKdOSPvm5mpLFZKimzoR/prwerUqdt6mFOCCZvz6uSlkCEhIQgPD8eWLVtu2nbv3r0YM2YM%2Bvbti1WrVqFBgwY1MIdEREREjquTCRsAvPbaa9i3bx9mz56N1NRUmM1mFBUVYfv27Vi6dCn0ej2OHDmC%2BPh4vPDCC3juuefgrvQnNhEREf2h2lj83dXU2Qylbdu22LlzJ1auXImpU6ciNzcXGo0GYWFhmDx5MsaMGYPExESYTCbMmzcP8%2BbNs/Xt1q0b/vWvf93GuSciIiL6XZ1N2ADL%2BWWzZs3CrFmzqn1%2B%2BfLlNTxHREREd547bTRMDXU6YSMiIqLbjwmb8%2BrsOWxEREREdQVH2IiIiEhVHGFzHkfYiIiIiFwcR9iIiIhIVRxhcx4TNiIiIlIVEzbnMWFTgajMSpX24hItSm70a%2B3j7i7rr9MpjyPtW1M8PGTtrcvhqssDAEVFsvZaLVC/vqUgtGCP6u6nrCKIkk1WWObU1r6iQtZX%2BoVS9XOrdt3N2sDbXUGhWOjg5SbsV5P7ImnJKGtNUC8vWV9JXWfg95prZWXyvlRrMWEjIiIiVXGEzXm86ICIiIjIxXGEjYiIiFTFETbnMWEjIiIiVTFhcx4PiRIRERG5OI6wERERkao4wuY8jrARERERuTiOsBEREZGqOMLmPCZsREREpCombM6r0wlbRkYGVqxYgX379iEvLw8eHh4IDw9HXFwc%2BvTpAwBYv349PvjgA%2BTm5iIoKAgTJkzA%2BPHjb/OcExEREf2uziZsp06dQkxMDPr374%2BVK1eiZcuWKCwsxN69exEfH4/FixejoqICixcvxurVq9GpUyf88ssvGD9%2BPFq3bo177rnndi8CERFRncARNufV2YRtzpw56NOnD%2BbPn2%2Bb5u/vj%2BHDh6OyshJGoxEPPvgg9uzZA19fX5hMJuTn50Oj0cDPz%2B82zjkRERGRvTqZsGVlZeHw4cNYs2ZNtc%2BPHDnS9m9fX1%2BcO3cOQ4YMQUVFBf7yl7%2BgQ4cODsfKyclBbm6u3bTCwiAEBekdfg1PT/tHh5nrCTvg94LESosaO0rhQknrsQP2tZ1F3JwoIi3QqJEsDABYfzOIfztohRd%2BW9tL%2B9WgGtr0xNue4u0O8tWtNFYd3ByATp1k7UND7R8l8vNl7du2tX90lLWYu6PatbN/dNThw7L2txBH2JynMZvN5ts9E7fakSNHEB0djc8//xytWrUCAOzfvx8JCQkAgIqKCuj1euzevRsAYDQaAQApKSmYNm0aYmNjMWXKFIdiLV26FMuWLbObFh8/HYmJCbdqcYiIiJyn0QC36Su/QQN1Xve339R5XVdUJxO29PR0REZG4oMPPqj2XLRt27Zh2bJl2LNnz3XPrVy5Ep9%2B%2Bil27NjhUKzqRth%2B%2B00%2Bwta8OfDrr0B5ucPd0Kb0F8cbW3l7A23aAKdPA6Wljvfz8ZHF8fQEmjUD0tJEC5VZr7UsDiyjDkFBQG4uYDI53q%2BJW448UKNGQF6eKNBnPzq%2BLVj5%2BQF9%2BwL79gFXrjjeb/B9hbJAWi1Qrx5QXCz6CWz2rS%2BLA%2BXfFWfPytor3PRQTzhgrXS7A5SNsAUEAJcvy2L5%2Bsrny9vbsmuQjojU8zDKOgCATgcYhf1GjJC1Dw0FliwBEhPlG5OSEbY1a4CJE4FTpxzvp2SEbcMGICYGSElxvN/hw0zYarE6eUg0JCQE4eHh2LJlyw0vHlizZg2OHDmCRYsW2aYZDAY0EGxZer0eer39F/LRo/LPH2D5chH1Ky6WB7EqLZX1V3qMRLhQBuFRyqpMJsBgEHRwV/AFYw0k%2BJLJy1MWBrAka6L%2BSo87VFa67DELJZ8lQP550inc9sTbHQA3N%2BWxJPlNHdwcgGPHlPU7e1be95of4w47dQo4csTx9pIfz1WlpNzWw5wSLrs91SKufKaCU1577TXs27cPs2fPRmpqKsxmM4qKirB9%2B3YsXboUer0e3bt3x5dffoldu3ahsrISBw8exNq1a/HYY4/d7tknIiIisqmTI2wA0LZtW%2BzcuRMrV67E1KlTkZubC41Gg7CwMEyePBljxoyBh4cHlixZgkWLFuHFF19ESEgIZs2ahUGDBt3u2SciIqozOMLmvDqbsAGWw5WzZs3CrFmz/rBNZGQkIiMja3CuiIiI7ixM2JxXZw%2BJEhEREdUVdXqEjYiIiG4/jrA5jyNsRERERC6OCRsRERGpynqrmFv9VxNKS0sRHR2Nbdu23bDdzz//jDFjxiAiIgKRkZHYsmWL3fMff/wx%2Bvfvjy5dumDUqFE4LLwlCxM2IiIiUlVtTdhOnz6NcePG4chN7qv322%2B/YcqUKRgxYgR%2B/PFHzJs3D/Pnz8cvv1hucJ%2BcnIykpCS8/vrr%2BPHHHzFs2DD87W9/Q6ngHnxM2IiIiIiusX//fjz%2B%2BOMYOXIkmjZtesO2X3zxBfz9/TFu3Di4u7ujd%2B/eGDp0KNavXw8A2LJlCwYPHoxu3bpBp9Nh4sSJaNiwIXbt2uXw/PCiAyIiIlKVWqNh1ZWHDAoKuq4CUXXKysqQnZ1d7XNBQUFo164dvv76a3h6euL999%2B/4WudPn0abdu2tZvWunVrbN26FQBw5syZ/9/encfVlP5xAP%2B0M5jEUDEY/BqFELpGtKexZWmRUCJqNEnDmBjNWGIs87JFyBKhSImkJiJEEcNYsm/Tpm6UpSLd6vn94Xfvz1WM5bm3bvN9v169Xjon53POPbd6Os/zfB84ODhU23/jA5YWowabDBgaftjXFxQUYM2aSDg7O0NP70PWnez7YUH/y4pcswbOzs7v9Yb%2BWFI5/3n/9UHbfWSW%2BPVr1%2B5Drqn1B%2BdIrqn1%2B/9fV9cPipFkia/pw%2B7Thy3YV1BQgMht2z44R%2BmDUv6XE/kx1wN07frhWeLX7j//ke17/OPed5%2BW9eWXsr2m0NCPu0/Ah63t9dHviczMD89ZswbOW7fK9GeeVNb%2B/fL5%2BZqYKPNr4kVWS5iuWROJtWvXSm3z8fHB1KlT//H/Xrp0CW5ubjXuCw4Oho2NzXufR2lpKRo2bCi1rUGDBnj%2B/Pl77X8f1CVaBzx8%2BBBr166t9leCImfRNSlGVn3LkWcWXZNiZNE11W/iyQCvfzg7O7/X/%2B3Tpw9u3rxZ48eHNNYAoGHDhih7Y/HisrIyNGrU6L32vw96wkYIIYQQhdSyZcs68ZTx66%2B/RmpqqtS2O3fuQE9PDwCgp6eH27dvV9tvZmb23hn0hI0QQggh5BMMGDAAjx49wrZt2yASiXDmzBnExcVJxq05OjoiLi4OZ86cgUgkwrZt21BYWIgBAwa8dwY12AghhBBCPtCQIUOwYcMGAICWlhZCQ0ORmJiIPn36ICAgAAEBAfjmm28AAH379sXcuXMxb948CAQCxMfHY9OmTWjatOl756nMmzdvniwuhHyYRo0aQSAQfFB/dl3PomtSjKz6liPPLLomxciiayKfavz48TAwMJDaNnbsWPTu3Vvyuba2NhwdHeHl5QU3N7dqX6%2Bvr49x48bhu%2B%2B%2Bw6hRo6Cjo/NB56DEmKzmbhBCCCGEEB6oS5QQQgghpI6jBhshhBBCSB1HDTZCCCGEkDqOGmyEEEIIIXUcNdgIIYQQQuo4arARQgghhNRx1GAjhBBCCKnjqMFGCCGEEFLHUYONEEIIIaSOowYbIYQQQkgdRw02QuqIR48eAQDKy8sRERGBP/74o5bPSHEsXLiwxu0//fSTnM%2BEnz179kAoFAIAYmNjERUVVctnRAipTaq1fQL/ZkVFRThw4AByc3Mxbdo0nDt3DpaWltxzXF1doaSkVOO%2B7du3c8%2BTh7t372LXrl3Iz89HYGAg4uPjMW7cOJlkpaamYseOHSgoKEBISAhCQ0MxY8YMqKry%2B/aJiorCokWLcPHiRfz%2B%2B%2B9ISEiAkpIS7t%2B/D29v708%2B/rveA2KyeC/I8j4JhUKcPn0awKvXr2vXrlL7i4uLkZSUxCXrTXv27IG5uTm0tbURGxuL8vJyODk5cTt%2BUFAQ9u3bB4FAAABo3LgxfvvtNzx9%2BhSTJk3ilgMA586dw6%2B//ors7GxUVlZK7bt%2B/Tq3nNLSUkRFRcHd3R137tzB7NmzoaWlhcDAQGhra3PLkadt27bh3Llz6Nq1K8aPH4/PPvtMss/T0xMbN27kknP27Fl8/vnn0NfXx%2BbNm3Hw4EFoampizJgx%2BPbbb7lkkLqPGmy15OrVq5gwYQI6dOiAmzdvws3NDdOmTcPcuXPh4ODANatPnz5Snz9%2B/BiJiYlwdnbmmjN79uy37lu8eDG3nNTUVPj6%2BsLCwgJpaWkoKytDcHAwnj9/Dk9PT245ABAXF4fFixfDyckJ586dAwAkJydDSUmJ69ObnTt3Ijg4GJWVlYiJicGmTZvQokULuLq6cmmwvfkekAdZ3yctLS3s3LkTRUVFKC8vR1BQkNR%2BDQ0N%2BPj4fHLOm%2BTRmIqOjkZ4eDjatGkDALC2toaenh7Gjx/PvcG2YMEC9O7dGwEBAVBTU%2BN67NcFBgbi%2BvXrcHd3x7x589CqVStoaGhg3rx5WL9%2BvcxyZWXt2rXYt28fBgwYgNjYWCQlJSEsLAxNmjQBAPz5559ccsLDw7Fs2TIoKytj9OjRiI%2BPh5ubG16%2BfIm5c%2BeioqICQ4YM4ZJF6jhGasXYsWPZ3r17GWOM9e7dmzHGWEpKChs0aJBc8jMyMpibmxvXY86aNUvqw8vLi3Xv3p0tWLCAa469vT07fvw4Y%2Bz/r93ly5eZlZUV1xzGGBs6dCj766%2B/pLLu37/PTE1NueYYGxszxhg7f/48EwgEku1GRkZcc%2BRJnvdp4sSJ3I/5NqampiwrK0tqW2ZmJrOwsOCWYWRkxEQikdS28vJyqfcGLz179mSVlZXcj/smS0tL9vjxY/bkyRNmYGDA8vPzWVlZmeS9wYOhoSHT19d/5wcvVlZW7M6dO4wxxl68eMEmTpzIJkyYIHkteX3v2trassuXL7Pjx48zfX19lpGRIdn3559/Mjs7Oy45pO6jJ2y15NatWxg%2BfDgASLqqTE1N4efnJ5f8Ll26ICMjg%2Bsxa3qKlpaWhoiICK45mZmZMDMzA/D/187Q0BBPnz7lmgMA%2Bfn56N69u1RWu3bt8Pz5c645mpqayMzMxKFDhyRPbs6cOYMWLVpwzQFedeeJu3j37duHJUuWYPHixWjUqBHXHHnepy1btnA/5tuUlJRAV1dXapuuri7X90SXLl2wceNGqaeroaGh0NfX55YhpqenhwcPHuDLL7/kfuzXlZaWomnTpkhMTESbNm2gra2N8vLyf%2Byq/xBhYWHw8PCAr68vOnfuzO24NXny5Ak6duwIAGjQoAGCgoIwevRoLF%2B%2BHDNnzgRjjEtOQUEBDA0NUVlZCWVlZan3QM%2BePfHgwQMuOaTuowZbLWnWrBnu3bsHPT09ybZ79%2B7hiy%2B%2B4J715je0SCRCfHx8tV86smBiYgJfX1%2Bux2zVqhUuXLiAXr16SbZduXJFJtfz1Vdf4ejRo7CxsZFsS0tLQ7t27bjmTJgwAXZ2dgCAHTt24Pz58/Dy8sLcuXO55mzbtg27du2Ch4cHli1bhkaNGkEoFGLx4sVvHbj/seR5n/T19d/6i5/nOCxAPo2pWbNmYeLEidizZw90dHSQn5%2BPiooKbN68mVvG/v37AQBdu3bF5MmT4ezsjKZNm0p9zYgRI7jl6enpYd26dUhJSYGlpSVKSkqwatUqdOnShVuGkZERfv75Z0RHR8Pd3Z3bcWvSpk0bnDhxAubm5gCARo0aYfXq1Rg1ahQ6duzIrSHasmVLXL9%2BHQYGBjh48KDUvkOHDqF169ZccogCqO1HfP9WYWFhzNLSkkVGRjIjIyMWHx/Phg4dyrZs2cI9q1OnTlJdAp06dWICgYAdPnyYe9brRCIR27dvHxswYADX4x48eJAZGxuzFStWsB49erCNGzcyU1NTtm/fPq45jDGWmprKunfvzqZPn866devG5s6dy3r16iXp6uMpKyuLPXjwgDHGWGFhIbty5Qr3DFtbW0k3jrgbVigUMhMTE%2B5Z8rxP6enpUh9//PEHGzNmDIuMjOSelZGRwQQCATM3N2fOzs7M3Nyc9evXj12/fp1rzpMnT1hMTAwLCQlhBw4cYM%2BePeN6fEtLy3d%2B8O66vn37Nhs3bhzz8PBgxcXFLD09nQ0dOpTdu3ePaw5jr4Zn5Ofncz/u6xITE1n37t3ZkiVLpLYfP36cde3alRkYGHDJ2blzJxMIBKy0tFRqu5%2BfHzM0NGTHjh3jkkPqPiXGOD23JR8sPDwcERERyM3Nhba2NpydneHu7g5lZb7VVnJzc6U%2BV1FRQfPmzbkPMK7pKYeKigrmzJkDFxcXrlknTpxAeHg4cnNzoaOjg1GjRslsttSNGzcQGRkpyXJ0dES3bt2455SXl%2BPEiRPIzc2Fs7MzMjMzuXeBCQQCnDlzBsrKyjA2Nsa5c%2BdQWVkJExMTpKenc80C5Huf3vTw4UO4u7sjPj6e%2B7GfPn2K5ORkPHz4ELq6urCwsJAMNq8viouLZXpNjDGu3aG14erVq8jNzYWtra3U9kuXLmHDhg3cJlMcO3asWgWBbdu2QSAQyLzrl9Qd1GAj3KSnp0v9AFZWVka7du1kMg6rvsnKysLEiRMhEonw7NkzxMTEYOjQoVi7di3XUi9ubm4YNGgQXFxcIBAIcPbsWcTFxSEyMhI7d%2B7kllMXvHz5Ev369eM2W08e3tW1K8a7i1f8PnhT7969ub92qamp2LlzJ4RCocxK5Jw8eRLl5eWwtrbGoEGDUF5eDgDQ1tZGWFgY1z9U5ZUlz2sidReNYaslbyuBoaamhmbNmsHCwgI9evT4pAx5//CXV%2BmI7OxsbNiwAbm5uaiqqpLax7uW2JUrV7B8%2BfIas44ePcotZ9GiRbC3t8eUKVMgEAjQvn17LFy4EEFBQVwbbP7%2B/nB3d0dsbCyeP3%2BOyZMn4%2BLFi1zHRonJ8z6Jx2OJiUQiHD16FAYGBtwy5PH9JK%2B6iJmZmfj111/BGENJSQnc3Nyk9peUlODzzz/nmhkXF4fffvsNo0aNkjQQeZfISUtLg6%2Bvr2Tsp1AoxC%2B//ALGGNauXYu9e/di9OjRCpUlz2sidRs12GqJmpoaYmJiYGNjgzZt2uDBgwc4fPgwTExM8OTJE4SFhWHRokUYPHjwR2eIf/inpqYiJSUFPj4%2BaNu2LfLy8hAcHIx%2B/fpxuRYrK6t//EXGs3Ezffp0qKmp4ZtvvuHeffym2bNnQ09PD3Z2djLNunjxItasWQMlJSXJazl8%2BHAsWrSIa06XLl0QHx%2BPAwcOwMDAADo6Opg/fz5atWrFNQeQ7316swabiooKOnbsyHXShjwaU/bbkRcAAB3LSURBVOIZwm9TVFTEJaddu3awtbVFUVERLly4UC1XXV0dVlZWXLLENm7ciPXr16NHjx6IiIhAixYtEBISAjc3N24Ntq1bt2L%2B/PkYNmwYAEBVVRUjR44E8OqJf3R0NLfGjbyy5HlNpI6rtdFz/3KTJk1iSUlJUtuOHz/OvLy8GGOMnTlzhg0dOpRLlo2NTbUBuAUFBczc3JzL8WNiYlhMTAwLDAxkFhYWLCwsjB07doxFRESwAQMGVBuU%2B6l69OjBXrx4wfWY78oqLy%2BXeY61tTXLzc1ljP1/MkB%2Bfj73gd8jR45kxcXFXI/5NvK8T3VBYWEht2NdunSJjR07ltnY2DArKytmZWXFTE1NWZcuXbhliMliEkhNevfuzaqqqhhj/3%2BPV1VVsV69enHLEAgE7OnTp1KZYiUlJVxrvskrS57XROo2esJWSy5duoSQkBCpbaamppgxYwaAV92Lb04W%2BFhFRUXVujc0NDRQXFzM5fjiv/a2bt2KzZs3S2oTAa/Kenh6esLf359LFvCqayo/Px9fffUVt2O%2BjbGxMa5fvy6TSQavs7Ozg4%2BPD2bMmIGqqipcvnwZv//%2BO/cK5gUFBVyP9y7yvE8AkJGRgejoaOTm5qJFixawt7dH7969uedcvnwZy5Ytg1AolHT1ikQiFBUVcattuGDBArRp0wZ6enrIzs5Gv379sH37dsnPBx5e70Z%2Bs0tZjGdZD3mUyCkvL5eaKPH6k9dGjRpV65pXhCx5XhOp26jBVkuaNWuGkydPSmr4AMDp06cldZCys7OhqanJJcvY2Bj%2B/v6YOXMmdHR0kJ2djSVLlkhl85CdnY22bdtKbdPW1ubeSAgICIC7uztsbW2rNUR5L0Xk5%2BcHNzc39OnTp1oWz%2BW2vL29UVZWBh8fH7x48QJubm5wdHTkfj3W1tZwc3PDt99%2Bi5YtW0p1ZfP85QzI9z6dOnUK3t7esLKyQqdOnZCVlYUJEyZg5cqVUg0EHuTRmLp9%2BzZ27tyJnJwcLFq0CBMmTICRkREWLFiACRMmcMl4sxv5TUpKSlzfEz/88AO8vb1hbW2Nly9fYt68eTh48CCWL1/OLaNZs2b4%2B%2B%2B/0b59ewBA3759Jfv%2B/vtvrnUu5ZUlz2sidRs12GrJ1KlT4ePjA1tbW3z55ZfIycnBkSNHMH/%2BfNy7dw/jx4/ntkh2YGAg/Pz8MGDAAMkvaBMTE8ybN4/L8cW6du2KpUuX4qeffoK6ujpevHiBhQsXShVO5WHNmjV4/vw5rl69KjU2ShYlAhYtWoTmzZtzXwXgTYcPH4afnx/8/f1RVFQELS0tmVzPyZMnAQCRkZFS23n/cgbke5%2BCgoKwdOlSDBo0SLLtjz/%2BwLp167g32OTRmPr888/RoEEDtGnTBrdv3wYA9OjRg9tTd%2BDVgH95MjExwe7duxEZGYk%2BffqgqqoKoaGhXJ9em5qaYsuWLTUWgQ4NDYWFhYXCZcnzmkjdRmU9atHFixexd%2B9e5Ofno1WrVhg1ahQ6deqEnJwc3Llzh/svmgcPHkAoFEJHR0cm1ebv3bsHLy8v5OXlQUtLC48fP0b79u2xceNGrnlGRkZISkqSy1%2BWPXr0QGpqqswbbAKBAKmpqfVqer4875OxsTHS09OlGoZVVVXo3bs3Lly4wDXL1NQUJ0%2BexMuXL2FtbY1Tp04BeDWMgVctu/Hjx2PgwIFwcXGBra0tVq9eDXV1dYwdOxZnzpzhkvG67OxsCIVCyXJKIpEIt27d4r5aQGpqKjp37gwtLS2cOHECampqMDEx4Xb8vLw8DBs2DKamphg9ejS0tbUhFAoRFRWFlJQUxMfHc3s/yitLntdE6jZ6wlZLsrKysGvXLsk4mPv372PhwoW4f/8%2Bzpw5w33cT1FREQ4fPozc3FxMmzatxkKMn6pDhw74448/8Ndff0kahj179uQ%2BQ7Bly5bQ0NDgesy3adeuHUpLS2XeYDM0NERCQoJkfVlZ%2BvPPP5Gbm1ttrUPeT9jkeZ%2BaNm2KW7duSRUavnHjhkxqAHbo0AG7du2Ci4sLPvvsM1y/fh3q6upcnxxOmzYNU6ZMQb9%2B/eDh4YFRo0ZBRUWFewFqAAgJCcHKlSsl58/%2BV9DWwMCAa4MtPDwcK1euREREBLS0tFBYWIglS5bg559/5vbe09XVRXh4OH799Ve4ublBSUkJjDEYGhpi586dXBs28sqS5zWRuo2esNUSV1dXMMagpaWFoqIiGBgYYP/%2B/XB3d%2Bc%2Bvufq1auYMGECOnTogJs3b%2BLAgQMYMmQI5s6dCwcHB65Z8qjWv2fPHsTFxcHNzQ2amppSvyiNjY25Zm3btg3R0dFwcHBA06ZNZTbmy8HBAVevXoW6ujq%2B%2BOILqRyeJVHmzp2L6OjoauPXlJSUuOYA8r1PGzduxK5du%2BDl5YUvv/wSWVlZ2LRpE8aMGYPJkydzzbpw4QKmTJmCqKgonD59GgsXLpQ0pj51co2joyOsrKxgaWmJjh07Qk1NDUpKSrh06RJKSkq4leJ5nbm5OebMmQN1dXUkJydj%2BvTpCAwMhK6uLn788UduOTY2Nli9erXU2qEZGRmYMWMGDh06xC1HTCgUIj8/Hy1atJBJ2ZrayJLnNZG6hxpstcTIyAjHjx/HgwcPsGrVKoSEhCAlJQUhISEIDw/nmjVu3DjY29vD3t5eshzRyZMnsXjxYiQkJHDLkVe1/rc1AJWUlLhXgX9bLSreDZx9%2B/a9dZ94Fi4PxsbG2Lp1K7p27crtmG8jz/vE/ldENCYmBo8ePULr1q3h5OSECRMmcH/CW1paivPnz%2BPZs2do3rw5VFVVUV5ezqUxtWrVKpw5cwZXrlxBixYtYGlpCUtLS3zzzTdQV1fncPbVGRkZ4a%2B//kJ%2Bfj68vb0RExODoqIiODo6ch3nZmRkhPPnz1frthYIBAq1GgUhtaY2aokQxvr27csYe1VHx8LCQrL9m2%2B%2B4Z5lbGzMKioqJP8W69mzJ9ccT09PFhwczKqqqiS1gWJiYtiIESO45pCPZ2lpyV6%2BfFnbp6GwNm3axLp378709fVZp06dWKdOnVjPnj3Zzp07ueYUFxezpKQkNn/%2BfPbtt98yIyMj5uPjw2JiYrjmMMaYra0tKy4uZlVVVczY2FhSK433zwdHR8dq579//37m5OTENYeQ%2BorGsNWStm3b4sSJEzA3N0dVVRWys7Ohrq6OiooK7lnNmjXDvXv3oKenJ9l279497mMfZF2tPz8/Hzo6Onjw4MFbv4ZXN8H58%2BfRq1cvnDt3rsb9SkpKXGt8ubq6vnUMFM8K%2B1OmTMGcOXPg4eFRrdQGr9dOnvdJjDGG7du3IzIyUlKHzdHREV5eXtzGlkVFRWHDhg2YM2cOLCwsJOOwkpOTsXLlSnzxxRfcFrZv3LgxbGxsYGNjgydPniA2NhZhYWE4cuQI1yeuwKunrr6%2Bvli1ahU6d%2B6MFStWQENDA9ra2lxz/Pz8MGXKFOzZswetWrVCXl4erl27ho0bN3LNIaS%2BogZbLfH09ISvry8OHjwIZ2dnjB49GioqKrC2tuaeNWbMGHh5eeG7775DRUUFEhISsH79ejg7O3PNadKkCR49eiT1y/jhw4fc6skNHjwYFy5ckCyFxf7Xmy/%2BN8%2ButsmTJ%2BPChQtwdXWtcT/vbr0312F9/PgxEhMTud%2Bjly9fIiEhAQcPHpRs4/3ayfM%2BiW3fvh1bt26Fp6enZAzb5s2boaysDE9PTy4ZERERWLx4MQYMGCDZpq2tDRcXF2hqamLHjh3cGmz379/HkSNHcPToUWRkZEBPTw8jRoyQyc%2BHWbNmYfny5aioqMDPP/8MPz8/FBcXY8mSJVxz%2BvXrh9jYWMTHx%2BPhw4cwMzPD0qVL0aZNG645hNRXNIatFgmFQskYmISEBJSUlGDEiBEyGasSHh6OiIgI5ObmQltbG87OznB3d%2Bc6vmf16tU4ceIEZsyYgWnTpiE0NBS///47jIyMMH369E8%2Bfl5eHnR1dd9Zi6p169afnFNXXL16FcuWLUNYWBi3Y5qYmGDq1Kno379/tXvP67Wrjfs0aNAgLF%2B%2BHJ07d5Zsu3btGqZOncptrKGRkRHOnTsHVdXqf%2BeWl5fDwsICaWlpn5SxcuVKJCUlITs7G8bGxrCysoKVlRUNMCeE0Bg2wk95eTlbsmQJ69GjB%2BvUqRPr3r07CwwM5D5m6rvvvqtx%2B9ixY7nmMMbY8OHDa9xuaWnJPasmvMcRCQQCrsd7F3nep549e7LKykqpbZWVlVxfPyMjo0/a/z46derEXFxc2KVLlz75WB/i1KlTzMvLi40cOZIVFBSwJUuWMJFIxDXj1q1bbNKkSVLro4o/CCH/jLpE67G1a9f%2B49fwKCHi4eGBLVu2QE1NDf7%2B/vD19cWLFy%2B4VuvPycmRrHd46tSpatdWUlKCmzdvcsnKysrC%2BvXrAQB37tzB7Nmzq2WVlZVxyRJ7c7yXSCRCfHw89wLH9vb22L59O9zc3LgeV0ye9%2Bl17dq1Q1JSklSXZFJSEtd1KuVh6dKlOHr0KNzd3aGtrQ1ra2tYW1vDyMhIZplxcXFYvHgxnJycJGM2k5OToaSkhJ9%2B%2Bolbzq%2B//oqGDRvC09OzxqeUhJB3o%2B%2Baemzt2rVo0qQJDAwMqhVJBfgtEfTXX39JfW5ubo6zZ89yObZYq1atcPv2bRQVFaGysrJaRXkNDQ3MnTuXS1bbtm0lKzXUpFmzZli5ciWXLDHxeC8xxhg0NTVrXI7mU1y%2BfBlbt27F6tWrq9VG49F1KM/79Dpvb2/4%2BfkhMTERbdq0QWZmJpKTk/9xvcwPUVFR8dZF0gGgsrLykzOGDx%2BO4cOHo7y8HKmpqTh69KjkjypLS0tYW1tzL3i9ceNGrFu3Dj169EBERARatGiBkJAQuLm5cW2w3bx5EykpKWjcuDG3YxLyb0Jj2OqxrVu3IiYmBiKRCE5OThgxYgSaN2/OPadnz55Sy/%2BIa73JSkBAAPeGzNusX78eU6ZMkXnOm%2BO9VFRU0Lx5c%2B5LVcmr3hsg3/sEAOnp6YiJiUFhYSFat24NBwcHrutUvq0m3%2BtksT5nZWUl9u/fjw0bNiAnJ4f7hA1jY2OcPXsWSkpKEAgEOHv2LBhjMDY25lofbeDAgYiIiECzZs24HZOQfxNqsP0LXL58GXv37sXhw4fRs2dPODk5wczMjNuEgzcbbOIf%2Bry9q0yEGO/B2VZWVpKiw/V54HdFRYVMuqnksfIFgGozUoFXT5DV1NTQrFkzWFpawsPDg3sRXVkRL1F35swZnD17FsrKyjA1NYW5ubnUAvc8ODk5wcvLCzY2NpLv3dTUVKxYsQJ79%2B7llrNz507Ex8fDzc2tWkkh3itfEFIfUYPtX6SsrAyJiYnYt28f/v77bwwfPpzL7E15Ndj09fWl1jsUk2W5iMTEROzfvx%2BnTp1C79694eDgAFtbW25rZL5%2BTW/D85qysrIQHBwsWcMWeDVeTtxA4EleK18AwIYNG7Bnzx5MmjQJbdq0QW5uLkJDQ9G/f3906NABERERGDRoEKZOnco1l7eZM2fi7NmzePjwIfT19WFhYQELCwsYGhpyXav0dWlpafD29oa1tTWSkpJgb2%2BPuLg4rFixAubm5txy5LnyBSH1ETXY/mVKS0uRkJCAsLAwZGVl4fLly598zG7dumHBggWSz%2BfPn19tnBKPdTffVSZCTFZlPQoLC3HgwAEkJCQgMzMTgwcPhoODAwwNDT/puOnp6f/4i1ggEHxSxuteX8O2sLAQnTt3ltkatl5eXujevTumTJkCgUCAc%2BfOYd%2B%2Bfdi%2Bffs7u2Y/xsiRI7Fs2bJqxaF//PFHxMTEICcnB66urjh27BjXXN58fHxgYWEBc3NzmSxc/zY3btyQFB3W0dGBo6Mj1%2B5kQsinowbbv0RaWhr27t2L5ORktG/fHvb29hg6dCiaNm36ycf%2Bp7E9slhYHHhVZysnJwcWFhYoLi6Wyfi81xUVFeHQoUPYs2cP7ty5gyZNmkBHRweLFi2CgYGBTLN5kecatn369MHJkyehrq4ueeoqq7Uje/bsifT0dKkxfyKRCAKBQDIpplevXjh//jzX3PqgoKAAwcHByM7OhkgkkvoDgucqG4D8usgJqY9olmg99vfff2Pfvn2IjY2FSCTC0KFDsXv3bnTq1IlrjiwGWr9LYWEhvv/%2Be2RkZEBNTQ3R0dFwdHREaGgo9/IH5eXlOHr0KGJjY3Hq1Cno6elh5MiRsLOzg6amJtauXQsfH5%2BPbpDa2dkhLi6u2izR1/Fs7DZs2BCamppQVVXFrVu3AABmZmbw9/fnliEm65UvXqevr4%2BQkBCpp4ShoaH4z3/%2BAwBISUmpV0WVefL398fTp09hamrKfZLL697sIjc3N4eDg4NMusgJqY%2BowVaPDRo0CFpaWrCzs4OFhQVUVVXx7NkzqRmcijjY97fffsPXX3%2BNrVu3wszMDB07doSnpyeWLVuGXbt2cc0yMTGBiooKhg4disjISHTp0kVq/%2BDBg99Z6uGfiJdNktfYKnmuYWtnZwcfHx/MmDEDVVVVuHz5Mn7//XcMGTKEe1ZAQAAmT56MqKgo6OrqIi8vD1VVVVi/fj0uXLiA77//HqtXr%2BaeWx9cvHgRKSkpaNKkiUxzFi1aBHt7e0kXefv27bFw4UIEBQVRg42Q90BdovXYP3U1KOpg3379%2BuHIkSNo2LChpKtNJBLBxMSEezmRhIQE2NjYyGS5sPfBa/amuJF27Ngx%2BPn54eDBg4iLi0N4eDhUVFTQt29fLF26lMMZ/59IJMKKFSuwe/duvHjxAg0aNICDgwP8/f1l8nqWlJTg2LFjyMvLQ%2BvWrWFlZYWGDRviyZMnqKyslHmXuaIaPHgwoqKi0KhRI5nmyLOLnJD6iJ6w1WM3btyo7VOQCTU1NZSVlaFhw4aS2aKlpaVcf%2BGIG34tWrTApUuXavwank8nZT1788cff8S5c%2BewePFiHD58GM2bN4e3tze%2B%2BuorlJSUcK/BBkCy8oW/vz%2BKioq4rnxRk8aNG8POzq7adh7jNOsjcZmcYcOGYfbs2ZgyZUq17mqepWzk2UVOSH1EDTaicKysrDBz5kwEBARASUkJhYWFWLhwIdcSBK6urgCkV4PQ1NREcXExqqqq0LRpU5w%2BfZpb3pw5c946e5MHNTU1LFq0CHl5eYiOjq628sWb4794uXv3Lnbt2oX8/HwEBgYiPj4e48aN455DPtybtesOHz4sVTaH9xN4eXaRE1IfUYONKJwZM2Zg9uzZGDhwIACgf//%2BMDc3lyot8qnETye3bNmCW7duISAgAE2aNMHz58%2BxZMkS7k8FMjIypGZvBgQEwMzMjFtD6pdffkFUVBSqqqpqfGIniydfqampmDp1KiwtLZGWloaysjIEBwfj%2BfPnkrF7pPbIYub2u3h7e6OsrAw%2BPj548eIFXF1d4ejoKJM/FAipj2gMG1FYRUVFyMnJgY6ODlq2bCmTDBMTEyQnJ6NBgwaSbS9fvoSZmVm1dTI/NSctLQ2lpaUYOnSopF5Y3759uT7Jc3JyQlRUFLfjvYuDgwN8fX1hbm4uWa7sypUr8PPzk3tjgdQt8ugiJ6S%2BUYx1Wgh5jZ2dHcLCwqCsrIxu3brJrLEGAFVVVSgsLJTalpOTAxUVFa454tmbjRo1kszeFAqF3GdvyquxBgCZmZkwMzMD8P8neIaGhnj69KnczoHUHaWlpdi2bRuAVw22UaNGwcvLC0KhsHZPjBAFQQ02onBcXFwQHx8PMzMz%2BPn54dSpUzLLGj58ODw8PBAdHY3U1FTs3r0bXl5eGD16NJfjnzhxAsCrVQF8fX2RnZ0NZ2dnjB49Gk5OTu%2B14Hhd1apVK6klywDgypUr0NXVraUzIrUpMDBQssLFvHnz0KpVK2hqamLevHm1e2KEKAjqEiUK6%2B7du4iJicHBgwehoqICe3t77uNhKioqEBwcjAMHDkAoFEJXVxdOTk6YPHkyl%2B4ccVehra0tduzYgebNm0NVVRUJCQmS2ZuyLGYqS/Hx8Zg/fz5cXFywfft2eHt7Y8eOHZg%2BfTqXpcqIYrGyskJMTAyUlJTQt29fHDt2DE2bNkX//v25l%2BMhpD6iBhtRaC9evMDhw4exevVqPH78WLIMkaIwMTHBkCFDsHv3bnz33XfVZm8CUOhB2SdOnEB4eLhkjcpRo0bh22%2B/re3TIrWgT58%2BSE9PR2JiIlauXIlDhw6hvLwc/fv3x9mzZ2v79Aip82iWKFFIp0%2Bfxv79%2B5GUlISvvvoKHh4eGDZsGPectWvXvnWfos7elJfAwED88MMPXMutEMWlp6eHdevWISUlBZaWligpKcGqVauqrR5CCKkZPWEjCsfc3BylpaUYPHgwRo0aha5du8osS1yPTezJkye4e/cuBg4ciBUrVnDLkefsTXkRCARIS0vjslIDUXx37tzB/PnzoaGhgVWrVuHatWsIDAxEUFAQ2rdvX9unR0idRw02onD27t2LwYMHo2HDhrWSHxsbi/T0dPz222%2B1kq8oli5ditLSUowcORItW7aUelrIs4I%2BIYT8G1CDjSgkcdkL8dtXJBLh1q1b3FYG%2BCfi8TikOvG6pW9by1ZR17Aln%2B7AgQOIjY1FQUEBWrduDRcXF%2BoyJ%2BQ9UV8FUTghISFYuXJltWV0DAwM5NJgO3v2LD777DOZ5ygq8bqlysrKOHLkSI0TKci/z5YtW7Bp0yY4OztDV1cX2dnZmDlzJvz9/eHg4FDbp0dInUcNNqJwIiIiEBQUBHV1dSQnJ2P69OkIDAyUSX0v8XqLYiKRCI8ePcKUKVO4Z9UX4nVLVVRUEBMTU%2BPXKPLMV/JxIiMjsWXLFqlJBjY2Npg1axY12Ah5D9RgIwrn2bNnsLW1RX5%2BPoKCgtC0aVPMmTMHjo6O%2BPHHH7lmTZ06VepzZWVldOzYUaYTHRTd6zNfa%2Bo2VuSZr%2BTjlZaW4uuvv5ba1qVLFzx8%2BLCWzogQxUINNqJwWrZsiZKSEmhrayMnJweMMTRr1kwmSx4VFRXBw8Oj2vZVq1bBz8%2BPe159MGjQIAwaNAhOTk7YsWNHbZ8OqSOGDRuGNWvW4IcffpA02kNDQzF48OBaPjNCFAM12IjCMTY2hq%2BvL1atWoXOnTtjxYoV0NDQgLa2NpfjFxUV4e7duwCANWvWoHv37lLjsIqLixEWFkYNtn9Q38qUkI8jHlZQUVEBoVCI6Oho6Ojo4OHDh3j48OFbJ6cQQqRRg40onFmzZmH58uWoqKjAnDlzMG3aNJSUlGDx4sVcjq%2Burg5fX188fvwYADBu3Lhq%2B52dnblkEVLfvTms4E0VFRVyOhNCFBuV9SAKZ/PmzXBxcUGjRo1knjVw4EDEx8dDRUUFjDGkpKRAS0sL3bp1k3k2IfVJZmYm1q1bB6FQiKqqKgCvJvHcv3%2B/xlU%2BCCHSlGv7BAj5UBs3bkSDBg3kkvXTTz/B1NQUALBhwwZMnToVrq6u2LNnj1zyCakvAgICkJubiyZNmqCyshJff/01bt%2B%2BXe0JNiGkZtRgIwrH1NQUmzZtQkFBgcyz1q9fj2nTpqGqqgrbt2/HmjVrEB4ejk2bNsk8m5D65MqVKwgODoa3tzcaN26MgIAArFixAqdPn67tUyNEIdAYNqJwzp8/j/j4eKxevVqyjTEGZWVlXLt2jWtWVlYWnJ2dce3aNZSVlaFfv35QVVXFo0ePuOYQUt999tln0NTUhKqqKm7dugUAMDMzg7%2B/fy2fGSGKgRpsROE0adIEy5Ytk9rGGJPJD/6GDRuisLAQycnJ6NWrF1RVVXHjxg1oaWlxzyKkPmvbtq1k2bKqqipkZ2dDXV2dJh0Q8p6owUYUglAolHSdZGVl4cGDB1L7i4uLZVKHzcHBASNGjMCzZ88QFBSEjIwMTJo0CRMnTuSeRUh95unpCV9fXxw8eBDOzs4YPXo0VFRUYG1tXdunRohCoFmiRCGUl5djzJgxKCoqQl5eXrVlqDQ0NODo6FhjkdtPlZ6eDg0NDfTo0QN5eXm4cuUKbG1tuecQUt8JhUI0b94cqqqqSEhIQElJCUaMGAF1dfXaPjVC6jxqsBGF4%2BHhgS1bttT2aRBCCCFyQw02QgghhJA6jsp6EEIIIYTUcdRgI4QQQgip46jBRgghhBBSx1GDjRBCCCGkjqMGGyGEEEJIHUcNNkIIIYSQOo4abIQQQgghddx/ATSmQ5nff8e8AAAAAElFTkSuQmCC\" class=\"center-img\">\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Sample</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
       "        <table border=\"1\" class=\"dataframe sample\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>Mjob</th>\n",
       "      <th>Fjob</th>\n",
       "      <th>reason</th>\n",
       "      <th>guardian</th>\n",
       "      <th>traveltime</th>\n",
       "      <th>studytime</th>\n",
       "      <th>failures</th>\n",
       "      <th>schoolsup</th>\n",
       "      <th>famsup</th>\n",
       "      <th>paid</th>\n",
       "      <th>activities</th>\n",
       "      <th>nursery</th>\n",
       "      <th>higher</th>\n",
       "      <th>internet</th>\n",
       "      <th>romantic</th>\n",
       "      <th>famrel</th>\n",
       "      <th>freetime</th>\n",
       "      <th>goout</th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>18</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>at_home</td>\n",
       "      <td>teacher</td>\n",
       "      <td>course</td>\n",
       "      <td>mother</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>17</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>course</td>\n",
       "      <td>father</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>LE3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>mother</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>health</td>\n",
       "      <td>services</td>\n",
       "      <td>home</td>\n",
       "      <td>mother</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>16</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>home</td>\n",
       "      <td>father</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "    </div>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "<pandas_profiling.ProfileReport at 0x20b819b8898>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Expand to see the whole profile\n",
    "pandas_profiling.ProfileReport(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x0000020B81EF12E8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B81F22B70>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B8223E400>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B82263C88>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x0000020B82292630>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B822B7F98>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B822E6940>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B82312320>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x0000020B82312358>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B823675F8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B8238CF60>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B823B8908>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x0000020B823E72B0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B8240BC18>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B8243B5C0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020B810F2860>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Checking normal distribution\n",
    "df.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Even though some of data are not normalized, this is just for fun, why so serious? :)\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Gender and Alcohol Consumption"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>1.254808</td>\n",
       "      <td>1.956731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>1.732620</td>\n",
       "      <td>2.663102</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Dalc      Walc\n",
       "sex                    \n",
       "F    1.254808  1.956731\n",
       "M    1.732620  2.663102"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gender on Alcohol Consumption\n",
    "ax = df.groupby('sex')[['Dalc', 'Walc']].mean().plot.bar()\n",
    "ax.set_title('Gender on Alcohol Consumption')\n",
    "ax.set_ylabel('Average of Alcohol Consumption')\n",
    "ax.set_xlabel('Gender')\n",
    "\n",
    "df.groupby('sex')[['Dalc', 'Walc']].mean().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As can be observed, males consumed alcohol more than female students both weekdays and weekends. But it doesn't seem significantly different.\n",
    "<br>** <b>Dalc</b> - workday alcohol consumption (numeric: from 1 - very low to 5 - very high)\n",
    "<br>** <b>Walc</b> - weekend alcohol consumption (numeric: from 1 - very low to 5 - very high)\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Parent's cohabitation status and Alcohol Consumption"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pstatus</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>1.560976</td>\n",
       "      <td>2.268293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>T</th>\n",
       "      <td>1.471751</td>\n",
       "      <td>2.293785</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Dalc      Walc\n",
       "Pstatus                    \n",
       "A        1.560976  2.268293\n",
       "T        1.471751  2.293785"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Parent's cohabitation status on Alcohol Consumption\n",
    "\n",
    "ax = df.groupby('Pstatus')[['Dalc', 'Walc']].mean().plot.bar()\n",
    "ax.set_title('Parent\\'s cohabitation status on Alcohol Consumption')\n",
    "ax.set_ylabel('Sum of Alcohol Consumption')\n",
    "ax.set_xlabel('Parent\\'s cohabitation status')\n",
    "\n",
    "df.groupby('Pstatus')[['Dalc', 'Walc']].mean().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By exploring Parent's cohabitation status, it was found that students whose parents were living apart (A) had a slightly higher alcohol consumption rate than the other. However, it should be noted that (A) reprents only 10% of all students, it still shows a higher rate. Therefore, it can be concluded that students whose parents were living apart comsumed alcohol significantly higher than the students whose parents were living together.\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Guardians and Alcohol Consumption"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'father': 90, 'mother': 273, 'other': 32}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Waffle size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_data = df.groupby('guardian')['TotalAlc'].count()\n",
    "df_gu_count = temp_data.to_dict()\n",
    "\n",
    "ax = plt.figure(\n",
    "    FigureClass=Waffle, \n",
    "    rows=10, \n",
    "    values=df_gu_count, \n",
    "    legend={'loc': 'upper left', 'bbox_to_anchor': (1.1, 1)}\n",
    ")\n",
    "\n",
    "plt.title('Students\\' Guardians')\n",
    "print(df_gu_count)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "According to the data collected, most of students lived with their mothers, followed by fathers and other consequently."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>traveltime</th>\n",
       "      <th>studytime</th>\n",
       "      <th>failures</th>\n",
       "      <th>famrel</th>\n",
       "      <th>freetime</th>\n",
       "      <th>goout</th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "      <th>TotalAlc</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>guardian</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>father</th>\n",
       "      <td>16.433333</td>\n",
       "      <td>2.655556</td>\n",
       "      <td>2.744444</td>\n",
       "      <td>1.488889</td>\n",
       "      <td>2.044444</td>\n",
       "      <td>0.277778</td>\n",
       "      <td>3.911111</td>\n",
       "      <td>3.211111</td>\n",
       "      <td>2.944444</td>\n",
       "      <td>1.533333</td>\n",
       "      <td>2.344444</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>3.977778</td>\n",
       "      <td>11.111111</td>\n",
       "      <td>11.155556</td>\n",
       "      <td>10.688889</td>\n",
       "      <td>3.877778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mother</th>\n",
       "      <td>16.582418</td>\n",
       "      <td>2.831502</td>\n",
       "      <td>2.487179</td>\n",
       "      <td>1.421245</td>\n",
       "      <td>2.021978</td>\n",
       "      <td>0.267399</td>\n",
       "      <td>3.937729</td>\n",
       "      <td>3.216117</td>\n",
       "      <td>3.168498</td>\n",
       "      <td>1.450549</td>\n",
       "      <td>2.296703</td>\n",
       "      <td>3.531136</td>\n",
       "      <td>5.835165</td>\n",
       "      <td>10.882784</td>\n",
       "      <td>10.677656</td>\n",
       "      <td>10.483516</td>\n",
       "      <td>3.747253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>18.406250</td>\n",
       "      <td>2.312500</td>\n",
       "      <td>2.187500</td>\n",
       "      <td>1.562500</td>\n",
       "      <td>2.125000</td>\n",
       "      <td>1.062500</td>\n",
       "      <td>4.093750</td>\n",
       "      <td>3.468750</td>\n",
       "      <td>3.062500</td>\n",
       "      <td>1.593750</td>\n",
       "      <td>2.093750</td>\n",
       "      <td>3.343750</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>10.562500</td>\n",
       "      <td>9.781250</td>\n",
       "      <td>9.062500</td>\n",
       "      <td>3.687500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                age      Medu      Fedu  traveltime  studytime  failures  \\\n",
       "guardian                                                                   \n",
       "father    16.433333  2.655556  2.744444    1.488889   2.044444  0.277778   \n",
       "mother    16.582418  2.831502  2.487179    1.421245   2.021978  0.267399   \n",
       "other     18.406250  2.312500  2.187500    1.562500   2.125000  1.062500   \n",
       "\n",
       "            famrel  freetime     goout      Dalc      Walc    health  \\\n",
       "guardian                                                               \n",
       "father    3.911111  3.211111  2.944444  1.533333  2.344444  3.700000   \n",
       "mother    3.937729  3.216117  3.168498  1.450549  2.296703  3.531136   \n",
       "other     4.093750  3.468750  3.062500  1.593750  2.093750  3.343750   \n",
       "\n",
       "          absences         G1         G2         G3  TotalAlc  \n",
       "guardian                                                       \n",
       "father    3.977778  11.111111  11.155556  10.688889  3.877778  \n",
       "mother    5.835165  10.882784  10.677656  10.483516  3.747253  \n",
       "other     9.500000  10.562500   9.781250   9.062500  3.687500  "
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_gu = df.groupby('guardian', axis=0).mean()\n",
    "\n",
    "colors_list = ['gold', 'yellowgreen', 'lightcoral', 'lightskyblue', 'lightgreen', 'pink']\n",
    "explode_list = [0.1, 0, 0] # ratio for each continent with which to offset each wedge.\n",
    "\n",
    "ax = df_gu['TotalAlc'].plot(kind='pie',\n",
    "                            figsize=(15, 10),\n",
    "                            autopct='%1.1f%%', \n",
    "                            startangle=90,    \n",
    "                            shadow=True,       \n",
    "                            labels=None,         # turn off labels on pie chart\n",
    "                            pctdistance=1.12,    # the ratio between the center of each pie slice and the start of the text generated by autopct \n",
    "                            colors=colors_list, # add custom colors\n",
    "                            explode=explode_list\n",
    "                            )\n",
    "\n",
    "ax.set_title('Alcohol Consumption based on Students\\' Guardians')\n",
    "ax.legend(df_gu.index.tolist())\n",
    "df_gu.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As can be observed from the pie chart depicted above, the average of alcohol consumption is almost identical. However, the students whose guardians are fathers had a slightly higher of alcohol consumption (34.3%)\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Alcohol Consumption with Various Activities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Alcohol Consumption Levels (1-10)')"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_abs = df.groupby('TotalAlc')[['absences', 'failures', 'studytime', 'traveltime']].mean()\n",
    "\n",
    "ax = df_abs.plot(kind='area', \n",
    "                 alpha=0.3, # 0-1, default value a= 0.5\n",
    "                 stacked=True,\n",
    "                 figsize=(20, 10),\n",
    "                )\n",
    "\n",
    "ax.set_title('Alcohol Consumption with Various Activities')\n",
    "ax.set_ylabel('Level of Activities')\n",
    "ax.set_xlabel('Alcohol Consumption Levels (1-10)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}