{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "inst = pd.read_csv('instructors.csv', names=['date','cumulative instructors trained'], parse_dates=['date'])\n",
    "work = pd.read_csv('workshops.csv', names=['date', 'cumulative workshops run'], parse_dates=['date'])\n",
    "lern = pd.read_csv('learners.csv', names=['date','cumulative learners reached'], parse_dates=['date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>cumulative workshops run</th>\n",
       "      <th>cumulative learners reached</th>\n",
       "      <th>learners reached</th>\n",
       "      <th>workshops run</th>\n",
       "      <th>workshop size</th>\n",
       "      <th>date_int</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011-11-07</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>1320624000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>1326844800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-02-20</td>\n",
       "      <td>3</td>\n",
       "      <td>86</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>1329696000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-02-23</td>\n",
       "      <td>4</td>\n",
       "      <td>114</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>1329955200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>5</td>\n",
       "      <td>153</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1331078400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2012-03-26</td>\n",
       "      <td>6</td>\n",
       "      <td>191</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1332720000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2012-03-28</td>\n",
       "      <td>7</td>\n",
       "      <td>226</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>1332892800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2012-04-02</td>\n",
       "      <td>8</td>\n",
       "      <td>261</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>1333324800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2012-04-14</td>\n",
       "      <td>9</td>\n",
       "      <td>293</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>1334361600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2012-04-15</td>\n",
       "      <td>10</td>\n",
       "      <td>302</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1334448000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2012-04-30</td>\n",
       "      <td>11</td>\n",
       "      <td>346</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>1335744000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2012-05-07</td>\n",
       "      <td>12</td>\n",
       "      <td>401</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>1336348800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2012-05-14</td>\n",
       "      <td>13</td>\n",
       "      <td>442</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1336953600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2012-05-16</td>\n",
       "      <td>14</td>\n",
       "      <td>480</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1337126400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2012-05-22</td>\n",
       "      <td>15</td>\n",
       "      <td>519</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1337644800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2012-06-18</td>\n",
       "      <td>16</td>\n",
       "      <td>539</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1339977600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2012-06-28</td>\n",
       "      <td>17</td>\n",
       "      <td>567</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>1340841600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2012-07-09</td>\n",
       "      <td>18</td>\n",
       "      <td>603</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>1341792000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2012-07-10</td>\n",
       "      <td>19</td>\n",
       "      <td>627</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>1341878400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2012-07-12</td>\n",
       "      <td>20</td>\n",
       "      <td>667</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>1342051200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>21</td>\n",
       "      <td>707</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>1342396800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2012-07-19</td>\n",
       "      <td>22</td>\n",
       "      <td>746</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1342656000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2012-08-26</td>\n",
       "      <td>23</td>\n",
       "      <td>766</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1345939200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2012-09-13</td>\n",
       "      <td>24</td>\n",
       "      <td>799</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>1347494400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2012-09-17</td>\n",
       "      <td>25</td>\n",
       "      <td>833</td>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>1347840000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2012-09-28</td>\n",
       "      <td>26</td>\n",
       "      <td>872</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1348790400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2012-10-08</td>\n",
       "      <td>27</td>\n",
       "      <td>914</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>1349654400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2012-10-11</td>\n",
       "      <td>28</td>\n",
       "      <td>939</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>1349913600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2012-10-17</td>\n",
       "      <td>29</td>\n",
       "      <td>979</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>1350432000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2012-10-18</td>\n",
       "      <td>30</td>\n",
       "      <td>1041</td>\n",
       "      <td>62</td>\n",
       "      <td>1</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>1350518400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2015-08-17</td>\n",
       "      <td>450</td>\n",
       "      <td>14926</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>1439769600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2015-08-20</td>\n",
       "      <td>454</td>\n",
       "      <td>15017</td>\n",
       "      <td>91</td>\n",
       "      <td>4</td>\n",
       "      <td>22.750000</td>\n",
       "      <td>1440028800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2015-08-21</td>\n",
       "      <td>455</td>\n",
       "      <td>15063</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>1440115200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2015-08-24</td>\n",
       "      <td>459</td>\n",
       "      <td>15184</td>\n",
       "      <td>121</td>\n",
       "      <td>4</td>\n",
       "      <td>30.250000</td>\n",
       "      <td>1440374400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2015-08-26</td>\n",
       "      <td>462</td>\n",
       "      <td>15258</td>\n",
       "      <td>74</td>\n",
       "      <td>3</td>\n",
       "      <td>24.666667</td>\n",
       "      <td>1440547200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2015-08-27</td>\n",
       "      <td>464</td>\n",
       "      <td>15318</td>\n",
       "      <td>60</td>\n",
       "      <td>2</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>1440633600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2015-09-03</td>\n",
       "      <td>465</td>\n",
       "      <td>15355</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>1441238400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2015-09-06</td>\n",
       "      <td>466</td>\n",
       "      <td>15380</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>1441497600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2015-09-07</td>\n",
       "      <td>468</td>\n",
       "      <td>15409</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>14.500000</td>\n",
       "      <td>1441584000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2015-09-08</td>\n",
       "      <td>470</td>\n",
       "      <td>15435</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>1441670400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2015-09-10</td>\n",
       "      <td>474</td>\n",
       "      <td>15585</td>\n",
       "      <td>150</td>\n",
       "      <td>4</td>\n",
       "      <td>37.500000</td>\n",
       "      <td>1441843200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2015-09-14</td>\n",
       "      <td>475</td>\n",
       "      <td>15603</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>1442188800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2015-09-15</td>\n",
       "      <td>477</td>\n",
       "      <td>15650</td>\n",
       "      <td>47</td>\n",
       "      <td>2</td>\n",
       "      <td>23.500000</td>\n",
       "      <td>1442275200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>480</td>\n",
       "      <td>15713</td>\n",
       "      <td>63</td>\n",
       "      <td>3</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1442448000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2015-09-19</td>\n",
       "      <td>481</td>\n",
       "      <td>15788</td>\n",
       "      <td>75</td>\n",
       "      <td>1</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>1442620800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2015-09-22</td>\n",
       "      <td>482</td>\n",
       "      <td>15799</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1442880000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>2015-09-23</td>\n",
       "      <td>483</td>\n",
       "      <td>15800</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1442966400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>2015-09-24</td>\n",
       "      <td>485</td>\n",
       "      <td>15843</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>1443052800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>2015-09-26</td>\n",
       "      <td>486</td>\n",
       "      <td>15918</td>\n",
       "      <td>75</td>\n",
       "      <td>1</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>1443225600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2015-09-28</td>\n",
       "      <td>490</td>\n",
       "      <td>16021</td>\n",
       "      <td>103</td>\n",
       "      <td>4</td>\n",
       "      <td>25.750000</td>\n",
       "      <td>1443398400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>492</td>\n",
       "      <td>16021</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1443657600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2015-10-03</td>\n",
       "      <td>495</td>\n",
       "      <td>16025</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1443830400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2015-10-05</td>\n",
       "      <td>496</td>\n",
       "      <td>16062</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>1444003200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>2015-10-06</td>\n",
       "      <td>497</td>\n",
       "      <td>16074</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1444089600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2015-10-07</td>\n",
       "      <td>498</td>\n",
       "      <td>16074</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1444176000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>2015-10-12</td>\n",
       "      <td>500</td>\n",
       "      <td>16092</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1444608000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>2015-10-17</td>\n",
       "      <td>503</td>\n",
       "      <td>16130</td>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "      <td>12.666667</td>\n",
       "      <td>1445040000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>2015-10-19</td>\n",
       "      <td>507</td>\n",
       "      <td>16130</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1445212800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>2015-10-21</td>\n",
       "      <td>508</td>\n",
       "      <td>16130</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1445385600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>2015-10-22</td>\n",
       "      <td>509</td>\n",
       "      <td>16130</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1445472000000000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>361 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          date  cumulative workshops run  cumulative learners reached  \\\n",
       "0   2011-11-07                         1                           22   \n",
       "1   2012-01-18                         2                           36   \n",
       "2   2012-02-20                         3                           86   \n",
       "3   2012-02-23                         4                          114   \n",
       "4   2012-03-07                         5                          153   \n",
       "5   2012-03-26                         6                          191   \n",
       "6   2012-03-28                         7                          226   \n",
       "7   2012-04-02                         8                          261   \n",
       "8   2012-04-14                         9                          293   \n",
       "9   2012-04-15                        10                          302   \n",
       "10  2012-04-30                        11                          346   \n",
       "11  2012-05-07                        12                          401   \n",
       "12  2012-05-14                        13                          442   \n",
       "13  2012-05-16                        14                          480   \n",
       "14  2012-05-22                        15                          519   \n",
       "15  2012-06-18                        16                          539   \n",
       "16  2012-06-28                        17                          567   \n",
       "17  2012-07-09                        18                          603   \n",
       "18  2012-07-10                        19                          627   \n",
       "19  2012-07-12                        20                          667   \n",
       "20  2012-07-16                        21                          707   \n",
       "21  2012-07-19                        22                          746   \n",
       "22  2012-08-26                        23                          766   \n",
       "23  2012-09-13                        24                          799   \n",
       "24  2012-09-17                        25                          833   \n",
       "25  2012-09-28                        26                          872   \n",
       "26  2012-10-08                        27                          914   \n",
       "27  2012-10-11                        28                          939   \n",
       "28  2012-10-17                        29                          979   \n",
       "29  2012-10-18                        30                         1041   \n",
       "..         ...                       ...                          ...   \n",
       "331 2015-08-17                       450                        14926   \n",
       "332 2015-08-20                       454                        15017   \n",
       "333 2015-08-21                       455                        15063   \n",
       "334 2015-08-24                       459                        15184   \n",
       "335 2015-08-26                       462                        15258   \n",
       "336 2015-08-27                       464                        15318   \n",
       "337 2015-09-03                       465                        15355   \n",
       "338 2015-09-06                       466                        15380   \n",
       "339 2015-09-07                       468                        15409   \n",
       "340 2015-09-08                       470                        15435   \n",
       "341 2015-09-10                       474                        15585   \n",
       "342 2015-09-14                       475                        15603   \n",
       "343 2015-09-15                       477                        15650   \n",
       "344 2015-09-17                       480                        15713   \n",
       "345 2015-09-19                       481                        15788   \n",
       "346 2015-09-22                       482                        15799   \n",
       "347 2015-09-23                       483                        15800   \n",
       "348 2015-09-24                       485                        15843   \n",
       "349 2015-09-26                       486                        15918   \n",
       "350 2015-09-28                       490                        16021   \n",
       "351 2015-10-01                       492                        16021   \n",
       "352 2015-10-03                       495                        16025   \n",
       "353 2015-10-05                       496                        16062   \n",
       "354 2015-10-06                       497                        16074   \n",
       "355 2015-10-07                       498                        16074   \n",
       "356 2015-10-12                       500                        16092   \n",
       "357 2015-10-17                       503                        16130   \n",
       "358 2015-10-19                       507                        16130   \n",
       "359 2015-10-21                       508                        16130   \n",
       "360 2015-10-22                       509                        16130   \n",
       "\n",
       "     learners reached  workshops run  workshop size             date_int  \n",
       "0                  22              1      22.000000  1320624000000000000  \n",
       "1                  14              1      14.000000  1326844800000000000  \n",
       "2                  50              1      50.000000  1329696000000000000  \n",
       "3                  28              1      28.000000  1329955200000000000  \n",
       "4                  39              1      39.000000  1331078400000000000  \n",
       "5                  38              1      38.000000  1332720000000000000  \n",
       "6                  35              1      35.000000  1332892800000000000  \n",
       "7                  35              1      35.000000  1333324800000000000  \n",
       "8                  32              1      32.000000  1334361600000000000  \n",
       "9                   9              1       9.000000  1334448000000000000  \n",
       "10                 44              1      44.000000  1335744000000000000  \n",
       "11                 55              1      55.000000  1336348800000000000  \n",
       "12                 41              1      41.000000  1336953600000000000  \n",
       "13                 38              1      38.000000  1337126400000000000  \n",
       "14                 39              1      39.000000  1337644800000000000  \n",
       "15                 20              1      20.000000  1339977600000000000  \n",
       "16                 28              1      28.000000  1340841600000000000  \n",
       "17                 36              1      36.000000  1341792000000000000  \n",
       "18                 24              1      24.000000  1341878400000000000  \n",
       "19                 40              1      40.000000  1342051200000000000  \n",
       "20                 40              1      40.000000  1342396800000000000  \n",
       "21                 39              1      39.000000  1342656000000000000  \n",
       "22                 20              1      20.000000  1345939200000000000  \n",
       "23                 33              1      33.000000  1347494400000000000  \n",
       "24                 34              1      34.000000  1347840000000000000  \n",
       "25                 39              1      39.000000  1348790400000000000  \n",
       "26                 42              1      42.000000  1349654400000000000  \n",
       "27                 25              1      25.000000  1349913600000000000  \n",
       "28                 40              1      40.000000  1350432000000000000  \n",
       "29                 62              1      62.000000  1350518400000000000  \n",
       "..                ...            ...            ...                  ...  \n",
       "331                44              1      44.000000  1439769600000000000  \n",
       "332                91              4      22.750000  1440028800000000000  \n",
       "333                46              1      46.000000  1440115200000000000  \n",
       "334               121              4      30.250000  1440374400000000000  \n",
       "335                74              3      24.666667  1440547200000000000  \n",
       "336                60              2      30.000000  1440633600000000000  \n",
       "337                37              1      37.000000  1441238400000000000  \n",
       "338                25              1      25.000000  1441497600000000000  \n",
       "339                29              2      14.500000  1441584000000000000  \n",
       "340                26              2      13.000000  1441670400000000000  \n",
       "341               150              4      37.500000  1441843200000000000  \n",
       "342                18              1      18.000000  1442188800000000000  \n",
       "343                47              2      23.500000  1442275200000000000  \n",
       "344                63              3      21.000000  1442448000000000000  \n",
       "345                75              1      75.000000  1442620800000000000  \n",
       "346                11              1      11.000000  1442880000000000000  \n",
       "347                 1              1       1.000000  1442966400000000000  \n",
       "348                43              2      21.500000  1443052800000000000  \n",
       "349                75              1      75.000000  1443225600000000000  \n",
       "350               103              4      25.750000  1443398400000000000  \n",
       "351                 0              2       0.000000  1443657600000000000  \n",
       "352                 4              3       1.333333  1443830400000000000  \n",
       "353                37              1      37.000000  1444003200000000000  \n",
       "354                12              1      12.000000  1444089600000000000  \n",
       "355                 0              1       0.000000  1444176000000000000  \n",
       "356                18              2       9.000000  1444608000000000000  \n",
       "357                38              3      12.666667  1445040000000000000  \n",
       "358                 0              4       0.000000  1445212800000000000  \n",
       "359                 0              1       0.000000  1445385600000000000  \n",
       "360                 0              1       0.000000  1445472000000000000  \n",
       "\n",
       "[361 rows x 7 columns]"
      ]
     },
     "execution_count": 303,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full = pd.merge(work, lern, on='date')\n",
    "full['learners reached'] = full['cumulative learners reached'].diff().fillna(full['cumulative learners reached'])\n",
    "full['workshops run'] = full['cumulative workshops run'].diff().fillna(full['cumulative workshops run'])\n",
    "full['workshop size'] = full['learners reached']/full['workshops run']\n",
    "full['date_int'] = full.date.astype(np.int64)\n",
    "\n",
    "full"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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TZRIaTCikcWOMbc12GmP0vxQRPwi2cyvY2iMnnzvuuIPu3bvz2GOPBbopTdJ5\ncuycY9aq6Vg9dCIiIgGioCQtRYFOREQkQPTKPWkpuuTaeH36X5OIHwTbuRVs7REJRjpPjp0uuYqI\niIjIMVOgExEREQlxCnQiIiIiIU6v/mqCblIVOTnoXBeRtqDZQGfcZiJwBbDbuuzQeuX3AfcAB4GZ\n1mV/55SPB+50yu+3LvuZUz4CeA2IBD62LvuAU94BmAScDhQBN1iX/f49LQGimz9FTg4610WkpZRV\nlvHV9q/wWm9A6j/SJddXgbH1C4zbXABcBQyzLjsE+JNTPgi4ARjkrPOCcdf91/efwF3WZfsB/Yzb\n1G7zLqDIKf8z8NSJ75KIiIhI6yirLOP15a8zbso4Hl/wOBPmTQhIO5rtobMuu9C4TUaD4ruBJ63L\n1jjL7HHKrwamOOXbjNtsAkYZt8kBYq3LZjnLTQKuAWbhC4Yup/w94PkT2x0RERER/5u0YhLvrX2P\n/LJ8ottHMzB5IF1ju1JYUUgWWUfeQAs7nnvo+gHnG7d5AqgEHrIuuwToBnxdb7ntQBpQ40zXynfK\ncb7nAViX9Ri3KTVuk2hddu9xtEtERETEb4oqilizew1bS7by96y/MzhlMEP7DiU8LPBDEo6nBeFA\ngnXZs4zbjATeBnq3bLNEREREgsujXzzK0h1LiWwfyfDU4aTFpR15pVZyPIFuO/A+gHXZb43beI3b\nJOPreetRb7nuzrL5znTDcpx56cAO4zbhQHxTvXMTJkyom87MzCQzM/M4mi4iIiJy7Ko91SzbuYxz\n088ltkNsoJtzmOMJdB8CFwLzjdv0ByKsyxYat5kOTDZu8xy+S6n9gCzrsta4TZlxm1FAFnAL8Ddn\nW9OB2/Bdqv0RMKepSusHOhEREZHWlLUjizATFpRhDo782JIpwBggybhNHvAoMBGYaNxmFVAN3Apg\nXTbbuM3bQDbgAe6xrrpnAtyD77ElUfgeWzLLKX8FeMO4zUZ8jy25sQX3TURERKRFzN0yl/gO8YFu\nRpNMKDyHyRhjQ6GdIiIi0vYc9B7kokkXMaTzEJKjk5tdtrCikH9c8Q+sta361HK9+ktERESkGV9v\n/5pKTyVJUUmBbkqTAj/OVkRERCQIVVRXcPfMu1m1exXp8elB/apABToRERGRRnyy6RM2FW/isj6X\n0SG8Q6Cb0yxdchURERFpxPT100mLTQv6MAcKdCIiIiKH2Vi0kezCbPom9A10U46KAp2IiIhIA5NX\nTSYpMomh16CjAAAgAElEQVSI8IhAN+WoKNCJiIiIODxeD4tyFzEvZx69EnoFujlHTYMiRERERBx/\n++ZvTF09ldSYVFKiUwLdnKOmQCciIiLi+K7gO/on9advYmjcO1dLl1xFREREHDmlOSHVM1dLgU5E\nREQE2Fm+kwM1B4iNiA10U46ZAp2IiIgIsHTHUqLaRxEWFnrxKPRaLCIiItLCPF4PE5dNpFtst0A3\n5bgo0ImIiMhJq9JTyQdrP+C/pv0Xu/bv4pTEUwLdpOOiUa4iIiJyUvq/L/+P6eunE27CSYtL49Qu\np4bk5VZQoBMREZGTUGFFIe+seYfRPUfTKbJTi223fZWnxbZ1LEIzhoqIiIicgK/yviImIqZFwxzA\nxe8ubdHtHS0FOhERETnpzNw4k+So5BbdZrfs7Qz9ZluLbvNoKdCJiIjISaX4QDFLdyylX1K/Ft3u\nwIVrqYps36LbPFoKdCIiInJSmbVpFtER0US1j2rR7aZu2U1ZQnTjM43ZhjErMWYZxmQ5ZYkY8znG\nbMCYzzCmU73lx2PMRoxZhzGXHqluBToRERE5qczYMIOuHbu26DYjyyqIKd5PeVxkU4tYIBNrh2Pt\nmU7Zw8DnWNsfmON8BmMGATcAg4CxwAsY02xmU6ATERGRk8bO8p2sL1pP7069W3S7w2cuozqyPYSZ\n5hZrOPMq4HVn+nXgGmf6amAK1tZg7TZgE3AmzVCgExERkZPG7M2z6RjRkYjwiBbbZq+lWxgybw35\nA9KaW8wCszFmCcb81CnrgrW7nOldQBdnuhuwvd6624FmN67n0ImIiMhJY+ammaR2TG2x7SXl7CHz\ntfns7N2FmugIzIEmFz0XawswJgX4HGPWHTLXWosxtpmqmpunQCciIiInh+8KvmPT3k1c1ueyFtle\n+optXPzyHGaHh7GgoBgKiqGiovGFrS1wvu/BmA/wXULdhTGpWLsTY7oCu52l84Ee9dbu7pQ1SYFO\nRERE2rxqTzUvfPsCXTt2JTzsxONPQl4Rl744mz09k+md2onaO/JMURGvb9xz6MLGRAPtsHYfxsQA\nlwJuYDpwG/CU8/1DZ43pwGSMeQ7fpdZ+QFZz7VGgExERkTatYF8BD332EDmlOZyffn6LbPP0j7+j\nIi6S0tSjetNEF+ADjAFf9noLaz/DmCXA2xhzF7ANuB4Aa7Mx5m0gG/AA92Bts5dczRHmBwVjjA2F\ndoqIiEjwOOg9yFsr3+Kl716iU4dOjOg6grCwEx8P2m/xejJfn8/W0zLwRB06uMIUFZE5YzXW2maH\nu7Y09dCJiIhIm7OrfBf3fXwf2/dt59Qup9KlY5cjr3SURsz4jt09Uw4Lc4GkQCciIiJtzoOfPkhZ\ndRkX97q4RXrlasXtKiW2aB87+7ZcQGwJCnQiIiLSJni9Xr7d8S3vr32fjUUb+UHfH7RomAMYNG8N\nVTEdoIW3e6IU6ERERCTkvbPmHSYum0hxZTFJUUmcn35+i4e5LpsKGDJvDbmDexx54VamQCciIiIh\nbeWulTy96GkGdx7MyG4jWzzI1Rr+yXL2JXakumOT72sNmODqLxQRERE5Bl6vlxeXvEhKTAoZnTL8\nFuYAOm/ZTVnneL9t/0Soh05ERERC0u7y3by56k2W7ljKxb0v9mtdsXvK6FBRxYHY4OudAwU6ERER\nCUG5pblc/871RIVHcWbambRv196v9Q1csJbqyPZBNxiilgKdiIiIhJw1u9cQ2S6SMRlj/F5XfEEx\np36+gpwh6X6v63gFZ8wUERERaca2km1+75Wr1X1tPtVRHYJyMEQtBToREREJOV9s+4Lk6GS/1xNe\nWc0pi9azPy7K73WdCAU6ERERCSlLdixha/FW+iT28Ws9MXvL+dH/vkdsYRmFPfwfHk+E7qETERGR\nkLFm9xp+8+lv6JPYh/Aw/8aYsf/4FOM9SM6pPYN2MESt4G6diIiIiGPtnrXcM/MeUmNSGZA8wK91\nxe4pI3F7EQX9uwV9mAMFOhEREQkBa/es5e6Zd9MlpgsDOw/0e329l26hMgjf2dqU0GiliIiInLR2\nl+/m7pl30zm6M4M6D2qVOnusyuVAfHSr1NUSFOhEREQkqM3ZOgdjTKuFuc6bd9F52x7KkmJbpb6W\noEERIiIiErS8Xi/vZr9Ll5gurVLf0M9Wctb731CSEhfUz51rSD10IiIiErTeX/c+O/btoH9i/1ap\nr8+3myjsnsiePq0TIFtKsz10xm0mAlcAu63LDm0w7zfAM0Cyddm9Ttl44E7gIHC/ddnPnPIRwGtA\nJPCxddkHnPIOwCTgdKAIuMG6bE6L7Z2IiIiEpIrqCtzz3czZOofhqcMJa4XBCcbjJTl/L9uGBe8r\nvppypKPzKjC2YaFxmx7AJUBOvbJBwA3AIGedF4zbGGf2P4G7rMv2A/oZt6nd5l1AkVP+Z+CpE9gX\nERERaSPm5cxjfs58Lsy4kLS4tFapMyVnDxbwREa0Sn0tqdlAZ112IVDcyKzngP9uUHY1MMW6bI11\n2W3AJmCUcZuuQKx12SxnuUnANc70VcDrzvR7wEXHvAciIiLS5mwv205sRCzREa030rTrxgKqI1vn\n/bAt7Zj7L43bXA1sty67ssGsbsD2ep+3A2mNlOc75Tjf8wCsy3qAUuM2icfaJhEREWlbckpyiGrf\nuu9P7bZ+B1UhNBCivmMa5WrcJhr4Pb7LrXXFLdoiEREROal5rZev87+mT4J/39XaUMq2PezJSGnV\nOlvKsT62pA+QAawwbgPQHVhq3GYUvp63HvWW7Y6vZy7fmW5YjjMvHdhh3CYciK8dYNHQhAkT6qYz\nMzPJzMw8xqaLiIhIKNhQuIHSylK6duzaKvVFllVw5gdZdKio4kDsSdBDZ112FVA3jte4zVZghHXZ\nvcZtpgOTjds8h+9Saj8gy7qsNW5T5oS+LOAW4G/OJqYDtwFfAz8C5jRVd/1AJyIiIm3X4rzFxHaI\nxRj/XgQcOG8NAxeuJWn7XqqiI9g6PCNkXvXVULOtNm4zBVgM9Dduk2fc5o4Gi9i6CZfNBt4GsoFP\ngHusy9bOvwf4N7AR2GRddpZT/gqQZNxmI/Ag8PAJ7o+IiIiEuPk58/3+IOGI8krOm7IIjGHzyN7k\nDusZkqNbaxlbl7mClzHGhkI7RURE5MRU1lRy/mvnk5mRSXR7/41wzVi6hczX57Ht9N6+AmuhBXoE\nTVERmTNWY61t1TEGodmvKCIiIm3S19u/pn279n4NcwC9lm+jKrrD9wV+vrzrbwp0IiIiEjTmbJtD\nXEScX+swnoOkr8qluGuCX+tpTQp0IiIiEhS8Xi+zt8xmQPIAv9aTti6fMM9BKuNa9zl3/qRAJyIi\nIkFha8lWvF4v8ZHxfq2n3zebOBAXGfKXWetToBMREZGgkL0nm8hw/z4HLqzGQ8+VORSntq0XUynQ\niYiISFB4f+37JEcn+7WOjBU5GK+lKkQfINwUBToREREJuOUFy1m9ezUDUwb6tZ4BC9eyv1N0m7rc\nCgp0IiIiEgReXf4qqR1TCQ871reSHr2I8kq6rS9gb1rbutwKCnQiIiISYOsL17M4bzGDUgb5tZ4+\nS7bgiQgP6TdCNMV/MVhERESkGSWVJTw+/3G+zPuSnp16EtXef48RidtVypAvVlOeGOO3OgJJgU5E\nRERaXW5pLj//6OdUe6s5u/vZ/ntUidfLyP8s4dTPVnAgNor8/t38U0+AKdCJiIhIq5uyagrVB6sZ\n3XO03+roviaPs9/+irjCfeQN7kFVx7Y1srU+BToRERFpNeXV5SzKXcTsrbPpndDbb/Uk5exh7POz\nKOkSz+YRvSCsbQ8bUKATERGRVlFSWcLPP/o5eWV5xHWIo2vHrn6r6/SPl1ERF01hRme/1RFMFOhE\nRESkVfxr6b/YWb6Ti3tdTJifesw6FpbR+7ut9FyRw7bTevqljmCkQCciIiKt4uvtX9MroZdfwlxS\nXiFjXptP8vYiKqMj2JOR3CYfT9IUBToRERHxu53lO8ktzWVs37Etvu3YPWVc/dR0yhOi2TCyL4S3\n7fvlGqNAJyIiIn4zfd103lr1FpuLN5MSneKXN0EMXLCWmg7h7O6T2uLbDhUKdCIiItLivF4vTy1+\nivez36d/Un8u7X0pEeH+uQTabX2+7/2sJzEFOhEREWlRXq+Xh+c8zMKchYzJGEPHiI5+qaddtYcR\n05eQklvEltN7+aWOUKFAJyIiIi3qg3UfMD9nPhdlXOS3Xrmokgr+64/vEV5VQ+6QHhyMOLkjzcm9\n9yIiItKi1uxew3NfPceQlCF+C3MA6atzCa/2sO10/z2cOJScfMNARERExC9yS3O575P7SItNo0d8\nD7/W1XNlDpUxHfxaRyhRoBMREZETtrdiL3fPuJvYiFgGdR7k17o6FpaRvjKXwvRkv9YTShToRERE\n5IT9c8k/qaipYHjX4X6v65y3v+JAbNRJ9eDgI1GgExERkRNSVlnGjA0zODX1VL/X1X1VLj1X5FLQ\n7+R95lxjFOhERETkhHyw7gM6hHegU2Qnv9bTrtrD+W8tpCgtAe9JPqq1IQU6EREROSGbijcR1yHO\n7/WcN+VL2h+oZm/3RL/XFWoU6EREROSEFO4vJKp9lF/rSF+VS/+vNpA/MA3CFF8a0hERERGRE1J4\noJCY9jF+235EeSVjXp3HnvRkDYRoggKdiIiInJCSyhKiwv3XQ3fqZysIO3iQkm661NoUBToRERE5\nbiWVJew9sJeEqAS/bD8pZw+nfr6SXb27+GX7bYWGiIiIiMgxq/RU8uKSF5m6eipxEXGEh7V8pOhQ\nXsklL82mLDmWyvjoFt9+W6JAJyIiIsdk897NPLbgMTbv3cyotFF+6Z1rV+1h3HMzaF9dQ96g7i2+\n/bZGgU5ERESO2ktLXuLl714mITKBMRlj/NIzB75RrfG7StkyopdGtR4FBToRERE5ait3raR3p95+\nf19rdMl+ajqEK8wdJR0lEREROWrby7YTHxnv93qi91ViFeaOmo6UiIiIHBWv18vO/TtJiPTPiNb6\noov3c7B9O7/X01Yo0ImIiMhR2Vy8GYDoCP+POI0rLKNaDxE+agp0IiIiclRW7V5FdPtWeHyI10ty\nbiH7kjr6v642QoFOREREjsrSHUv9+oqvWgkFJbSrOUh1TAe/19VWKNCJiIjIEb205CU+2/wZfRL6\n+L2ubuvyqYmKAGP8XldboceWiIiISLM+3/w5//7u35yXfl6rjHDts2QL++P9927Ytkg9dCIiItKk\niuoKJsyfwKldTm2VMBdZVkGXLbvY2y3R73W1JQp0IiIi0qR3176LwdA9vnVev9UvazPVURF4I3QR\n8VjoaImIiMhhyqvLeXzB48zdOpfhqcNbrd5B89dQlhLXavW1FQp0IiIicpj7P7mfLcVbuLDXhUSG\nR7ZKnRHllcTvLGXD2f1apb62pNlAZ9xmInAFsNu67FCn7BlgHFANbAbusC5b6swbD9wJHATuty77\nmVM+AngNiAQ+ti77gFPeAZgEnA4UATdYl81p4X0UERGRYzBv2zxW7lrJ2L5jCQ9rvb6fxB3FeNry\n+1uNaQcsAbZj7ZUYkwhMA3oC24DrsbbEWfaQTIX1ZaqmHOmIvQqMbVD2GTDYuuypwAZgPIBxm0HA\nDcAgZ50XjLtuvPE/gbusy/YD+hm3qd3mXUCRU/5n4KkjtEdERET8xOv1MnXVVB6e/TBDOg9p1TAH\nkLppJ562/bqvB4BswDqfHwY+x9r+wBznM5jDMxXGNJvZmp1pXXYhUNyg7HPrsl7n4zdA7V2SVwNT\nrMvWWJfdBmwCRhm36QrEWpfNcpabBFzjTF8FvO5Mvwdc1Fx7RERExD/WF67n8rcu589f/5nhqcPJ\n6JTRqvUbj5chc1dT3NX/74kNCGO6Az8A/g3UdnjVz0Gv830+uhqYgrU12LpMdWZzmz/RPs07gY+d\n6W7A9nrztgNpjZTnO+U43/MArMt6gFLjNhqnLCIi0oo2Fm3klx//kqj2UVzW5zK6dOzS6m3o981G\n2h+oZl9ybKvX3Ur+DPwW8NYr64K1u5zpXUDtgW8qUzXpuAOdcZtHgGrrspOPdxsiIiISeBOXTaSd\nacdpqacRFoj717xeTvt0OaWp8W3z/jljxgG7sXYZ3/fOHcpay/eXYhtdorkqjuviuHGb2/F1G9a/\nRJoP9Kj3uTu+RJnP95dl65fXrpMO7DBuEw7EW5fd21idEyZMqJvOzMwkMzPzeJouIiIi9VR6Kpmf\nM5+R3UYGpgFeLyNmfEfc7lI2ndk3MG04Qct3lrB8p28sAxUVjS1yDnAVxvwA3wDROIx5A9iFMalY\nuxNjugK7neUby1T5zbXhmAOdM6Dht8AY67KV9WZNByYbt3kOX7dgPyDLuqw1blNm3GYUkAXcAvyt\n3jq3AV8DP8J3Q2Cj6gc6EREROXFer5cnFj5B+7D2JEQF5t61M/6zhNM+W8H2Qd1DtnfutNROnJba\nCQBTVMTrG/ccuoC1vwd+71vAjAEewtpbMOZpfDnoKef7h84a04HJmEMzVXNtONJjS6YAY4Bk4zZ5\ngAvfqNYI4HPjNgBfWZe9x7pstnGbt/GN3vAA91iXre0evAffY0ui8D22ZJZT/grwhnGbjfgeW3Jj\nc+0RERGRlrFm9xqeWfwMa/esZUzPMQFpQ5dNBQybvYr8U7pRGRcdkDYESG0++j/gbYy5i9rHlgBY\nm405NFM5l2SbZI4wPygYY2wotFNERCTYeb1envvqOaatmUa32G4M7TK01R9PAhC/s4QfPvkBpSmx\nFHdPbvX6/cUUFZE5YzXW2sbvlfMTvSlCRETkJPLM4md4f+37jMkYQ8eIjgFrxymL1nGwXbs2FeYC\nKTQvVouIiMgxW16wnHfXvsvonqMDGuYA0tbmsz8xJqBtaEsU6ERERE4SU9dMJSkqKeBhrlv2dpLz\niihJjQ9oO9oSXXIVERFpw7xeL++ufZf/rPsP6wrXcVGvwL6UqX1FNRe89gVFaYl4wxVDWop66ERE\nRNqwTzd/yp8W/4mD9iAX9bqI6IjAjiY9bdYywqs87E3XvXMtSdFYRESkjSqvKmfSikl07diVAckD\nAt0c2lV7GDw/m90ZKYFuSpujHjoREZE2qNpTzS8//iU7y3dyapdTA90cAE5ZtB5joSIhsPfwtUUK\ndCIiIm3Qu9nvsrFoI6PTRwfm/ayNSF+dy/5OJ9UDhFtNcPyERUREpMV4vB5eW/EaA1IGBE2YA+i8\ndTf7EtU75w/B81MWERGRFvHhug/ZX72f9Pj0QDelTufNu+hQXsWBuKhAN6VN0qAIERGRNsTr9fLK\nd6/QL7FfoJtCeGU1AxeuY+DCtcTvKqW0SxwEUY9hW6JAJyIi0oas3LWS4spiRnYbGdB2DPxiDWe9\n/w3WGEpS49k4si+EK8z5iwKdiIhIG/L19q+JjYgN6L1z3dblc+60xew4patGtLYSRWUREZE2ZFHe\nIpKjA/fQ3pi95Zw/aQGlneMU5lqRAp2IiEgbMWnFJNYVraNnp54BqT9+ZwnX/N+HGK+XPXp4cKtS\noBMREWkDVu9azfPfPM9ZaWcRGR7Z6vXH7yzh6qf/g6d9OwoGpGnwQyvTPXQiIiIh7J017/Dq8lcp\nqyojLS6NpOikgLRj6Ocr8YYZdvXrGpD6T3YKdCIiIiHqoU8fYt62eQxLHUafhD4kRCYEpiFeL72/\n20JheuDu3TvZKdCJiIiEqIW5C7mw14VERwT2dVrd1+bTvspDRbxe6xUousAtIiISgsoqy/B4PQG5\nX66hgQvWUhEXpfvmAkhHXkREJATl78snol1EwN/VGrerlJ4rczSqNcB0yVVERCTEeL1envvqOaLa\nB/a9qClbdnHRv+dSnhCDJzIioG052SnQiYiIhJilBUtZuWsll/S5JGBtGPlBFqd+uoKylFh29+oS\nsHaIjwKdiIhIiJm7dS6dIjsRHtb6/4y3q/Zw2ifLOG3WcnKH9KAqNrC9hOKjQCciIhJi5ufMp0dc\nj4DUffbbX3HK4vVsH5imMBdEFOhERERCQKWnkkW5i5i9ZTa7yndxRtczAtKObuvyKeyZwoFOMQGp\nXxqnQCciIhLEthZv5ZnFz/BdwXe0M+1IjEpkdM/RARndGl5ZTac9ZWzK0AOEg40CnYiISBD7aP1H\nLN+5nPPSz6NjRMeAtiV1405qIsLxhis+BBs9h05ERCSIFewrICU6JeBhDiApfy+eiHaBboY0QoFO\nREQkiBXsLwiKMAfQqaAET0T7QDdDGqFAJyIiEsQKKwqDItAl5BXR+7utlCcGvi1yOAU6ERGRIOX1\netm9fzcJUQkBbUfsnjLG/WUm5Qkx7EuJC2hbpHEKdCIiIkFqR/kOLJbI8MiAtSGs2sMVz82gJiKc\nPb07B6wd0jwFOhERkSD1xdYviAkP3PPewqo9jH5rIVH7DrDzlG4Ba4ccmcYdi4iIBKlpa6aR0Skj\nIHUn5O/l4pdm07G4nLzBgXkrhRw99dCJiIgEodzSXHaV7yI9Pr31K/d6GfuPT2lXU8PW4Rl4oiJa\nvw1yTBToREREgtDcLXOJiYhp9TdCtK+o5qKX5xBZVsHOfl0hAG+kkGOnS64iIiJBpry6nFeWv8Kg\n5EGtWm+vpVsY8/p8bJghd1hPhbkQokAnIiISZDYVbeKg9yBdY7u2Wp0JeUVc+MpcCnumUNolvtXq\nlZah6C0iIhJkCsoLiAhrvfvWwqo9jJ68kIq4SIW5EKVAJyIiEmT2VOyhXVjrvTN1+KzlJOcVUdBX\njyYJVQp0IiIiQebzLZ+32sOEw6o9DP5iNbt6dYZwxYJQpZ+ciIhIENlQuIG1e9YyvOvwVqlvyBer\naVfjZX9SbKvUJ/6hQREiIiJB5NMtn5IQmUB4mB//ifZ66bx1DwO+XEv/rzay45TWG3wh/qFAJyIi\nEiQ8Xg+zt8wmLS7Nb3UYj5fL//4x3dYXUBEfRd7g7lTFRvmtPmkdCnQiIiKtrKSyhE82fsKOfTvI\nK8ujoLyAPfv3UFpZSvt27Tm186n+qdjr5eJ/fU6XLbvZdEYf3TPXhijQiYiItKKSyhKue/s6qg9W\nE9U+ipj2McR2iGVIyhDiIuP8eqm1z7eb6bkqly3DeynMtTHN/tYYt5kIXAHsti471ClLBKYBPYFt\nwPXWZUuceeOBO4GDwP3WZT9zykcArwGRwMfWZR9wyjsAk4DTgSLgBuuyOS27iyIiIsFhUe4iXl32\nKl7r5YJeF7Rq3fE7Sxj95pfs6ZGMN0L9OW3NkeL5q8DYBmUPA59bl+0PzHE+Y9xmEHADMMhZ5wXj\nNsZZ55/AXdZl+wH9jNvUbvMuoMgp/zPw1Anuj4iISNDxeD08MucRfvXpr9i1fxej0ka1av3xO0vI\nfG0e1dHtKe2W0Kp1S+toNtBZl10IFDcovgp43Zl+HbjGmb4amGJdtsa67DZgEzDKuE1XINa6bJaz\n3KR669Tf1nvARce5HyIiIkHrle9eYe7WuVzY60JGdBtBRHjrvQUiKa+QHz32LjHF5ezsl9pq9Urr\nOp4L6F2sy+5ypncBXZzpbsD2esttB9IaKc93ynG+5wFYl/UApc4lXRERkTYhvyyfV5e/yoiuI1rt\nYcH19ViZS3WH9uwY2B1vuC61tlUndEekdVkL2BZqi4iISJvi9Xp5etHTdOrQieSY5IC0oc93W6iI\njwlI3dJ6jieq7zJuk2pddqdzOXW3U54P9Ki3XHd8PXP5znTD8tp10oEdxm3CgXjrsnsbq3TChAl1\n05mZmWRmZh5H00VERPyv2lPN1NVTmZY9jT3793BRr8DcUZS2ZjuJ+cVsPKNPQOqX1nM8gW46cBu+\nAQy3AR/WK59s3OY5fJdS+wFZ1mWtcZsy4zajgCzgFuBvDbb1NfAjfIMsGlU/0ImIiASzV5a9wmvL\nX2Ng8kBGpI4gLKz1HxHSsXAfF788m6K0RD2i5CRwpMeWTAHGAMnGbfKAR4H/A942bnMXzmNLAKzL\nZhu3eRvIBjzAPc4lWYB78D22JArfY0tmOeWvAG8Yt9mI77ElN7bcromIiLQ+r9fLjA0zGNx5MOnx\n6QFpQ1jNQcb+YxbVke3Z2yMpIG2Q1mWsDf5b4IwxNhTaKSIisrxgOT+b8TPG9hkbkJ45gDETv6D3\nsq1sHZ4BAWrDycoUFZE5YzXWWnPkpVuOhruIiIicoOUFy5m5cSardq9ia/FWUmNSAxbmEvKK6Je1\niW0KcycVBToREZHjtLt8Nw9++iAb924kKSqJzjGdGdNzDNER0QFrU5+lm6mK7oCnQ/uAtUFanwKd\niIjIcfB4PUyYP4Hd5bu5rM9lfn0H69GKLKugX9Zm9iV3DHRTpJUF/rdPREQkxFR6Krn1g1vZsW8H\n56efHxRhLn5nCVc9Mx0MlKR2OfIK0qYE/jdQREQkxHyy8RPyy/K5qNdFAbtXrpbxeBnyxWpGzFhK\nRWwUu/vq9V4nIwU6ERGRY7QodxHJ0ckBD3N4vVzy0uf0WJPHrt5dKE+ODWx7JGA0/EVEROQoeb1e\npq6ayoLcBfSI73HkFfxs9JsL6ZGdx9bhGQpzJzn10ImIiByl337+WxblLmJ46nCSowPzbtZaKVt2\nMWDRerYOz8DbXv+cn+z0GyAiInIUvF4vX23/ivN6nkfHiMCOIm1X7WHs87PY27UTnsiIgLZFgoMC\nnYiISDPKq8tZvnM5S/KXUOWpCniYA0hfmUN4zUH+P3t3Hh1Hdef9/327W63Wvq+WJVlGBtvgFWwg\ngA02gSTPhJzzO0nmeX4zk5lwJmeGSUIm+U0GMotQkvMAmWSSMCQhhIRgIIQtIcYL4AUwxvsqr7Il\nW/suW0ur1Wq1qn5/qE0MeJXV6pb0efn4qLq6uu5XdVqtj27VvdVZnB3pUiRKKNCJiIh8RFNPE29U\nv8Fb1W9xvPM4cTFxxLnimJs7N9KlATBtz0n8iZ5IlyFRRIFORETkLN/Z8B3eqn6LZHcyeUl53DX9\nLgtSEpYAACAASURBVNyu6DqtWXC0kfbCyF7DJ9FFgU5ERCSkrruOddXrWF6yHI8runrAYnwBck62\nklPdSqx3gP7kuEiXJFFEgU5ERCa9E6dOsKJiBdsbtpMWlxZVYa7gUD1LnnmXhK4+BmNjCLpdtBVn\nQaTnwJOookAnIiKTmi/g42trv8bA0ADFKcXkJ+VHuqQPmbb7BMayOLaoFFwKcXJuCnQiIjKplb9b\njm/Qx62Ft0b+zg/nkNZ0Gl9qgsKcXJDeHSIiMmm9duQ1NtZsZHHB4qgMcwBpLV34knS9nFxYdL57\nRUREwmxf8z5+sOUHLMhdEFXXzJ0tubUbt38Qf1J01ifRQ4FOREQmncqOSv5pzT9RlFJEXlJepMs5\nr1nvHMIf79YACLkovUNERGRS8QV8PLjhQXIScrg68+pIl3NeLn+AmZuP0lGUFelS5EoZ48GY7Riz\nD2MOY8zDofXpGLMOY45hzFsYk3rWax7EmOMYcxRjPnmxJhToRERk0qjrruOLr3yR0/7TXJt9baTL\nuaBrNx7CNob+lPhIlyJXyrb9wO3Y9jxgDnA7xtwCPACsw7ZnABtCj8GYWcAXgVnA3cDPMeaCmU2B\nTkREJoXqU9V8+U9fxmEcLClaErWDIABM0OK6DQfonJoe6VJktNi2L7TkBpzAaeCzwDOh9c8Anwst\n3wO8gG0PYts1QBWw6EK7j953s4iIyCgJWkG+vf7bxMfEMz9vfqTLuajM+g7c/QF6s1IiXYqMFmMc\nGLMPaAXexrYPATnYdmtoi1YgJ7ScDzSc9eoGYMqFdq9AJyIiE96fjv6J5t5m5uXMi3QplySxs5eh\nGGeky5DRZNtW6JRrAXAbxtz+kedtwL7QHi60e00sLCIiE5o34OXnu37OjIwZUX2a9WxJp7wMaSLh\ncWNfSxf7WrqGH/h8F97YtrsxZjWwEGjFmFxsuwVj8oC20FaNwNSzXlUQWndeereIiMiEFQgG+Mrr\nX8FgKE4tjnQ5lyyjroOgeujGjXm5qfztvGL+dl4xf3d1zsc3MCbzgxGsxsQBdwJ7gZXAl0JbfQl4\nLbS8EvhLjHFjzDSgFNhxoRrUQyciIhPW+pPrqemqYfm05ZEu5ZJ5enyU7DlJ/eyCSJcioycPeCY0\nUtUBPIttb8CYvcBLGHMvUAN8AQDbPowxLwGHgSBwX+iU7Hkp0ImIyIS0r3kfD29+mJK0knFzqhVg\nzroKBj0xBBJ0d4gJw7YPAAvOsf4UcO6/Nmz7/wL/91KbUKATEZEJZ1fTLu5/434Kkwu5Kv2qSJdz\nfpZF4ikvqa3dJLf1kNLWzcz3jtIy/Ryn7UQuQIFOREQmhKPtR3n58Mvsa9lHbXctV2dcTWlGaaTL\nOqfCA3V84vnNJHZ5AUMwxsmQy8GQy8XpvFR8aQmRLlHGGQU6EREZ91q9rfzD6n/A7XSTn5jP3Vfd\njcsRnb/i4rp8LP/lOrpyU2ktycZyR2edMr7oXSQiIuOaZVn859v/idvp5uapN0e6nIua++Y+Bt0u\nThVkRLoUmUDGz1WiIiIi5/D4zsfZ37qfRVMueGekqHDjS1u5buNB2ouzIl2KTDAKdCIiMm6tqlzF\ns/uf5eaCm6P2FOsZ12w6wrUbD1I7txB/cnyky5EJRoFORETGpRZvC49ueZR5ufNI9iRHupwLSms8\nxc0vbaG5NJdAvKYjkdEX3X/OiIiInEOPv4d/XPWPJMcmMyX5gvcsj7j8ww0sf2oDvWmJ9GUkRboc\nmaAU6EREZFwJBAPct+Y+egO93FwQnYMgnIEgszYdYcbWStLrO+kszNQgCAkrBToRERlXfrT1R9R0\n1XBH8R1ReweI23/zNoUHaunKTaVqUSm2KzrrlIlDgU5ERMaNDl8Hq4+vZmHewqgMc8mt3Vy9pZLi\nfTWcWDBNc8zJmNE7TURExoWK1gq++eY3SXYnkxaXFulyPhDjCzDr3UNc834lyW09DCTE0nR1nsKc\njCm920REJOr5g37uW30fU5KnMDNzZqTL+UBa4ynu+cGfsIGunFRaF10FOr0qEaBAJyIiUc0f9PNe\n7XvYth1VYQ5g/uo9BDwxNM0siHQpMskp0ImISFQKWkHu/dO9VLRV4Ha4mZIURdOTWBaf+P0Wpu86\nQc284khXI6JAJyIi0afL38X33/0+Vaeq+IvSv4i6ARDT9tYw870j1MwrZjDeHelyRBToREQkungD\nXj7/0uexsbm16NaoC3MA0/aepC81QWFOokb0/ZSIiMikZds2/7P9fxgIDnBL4S14XNF3m6zEjh4K\nDtXTk6m7Pkj0UA+diIhEjf/a8l+8dvQ1bi26NdKlnFPWiVY+9fgbDHrc9KUlRLockQ+MONCZcvMg\n8FeABRwA/g5IAF4EioAa4At2md111vZfBoaAr9tl9luh9QuB3wIeYI1dZt8/0ppERGT8er3ydV4+\n/DJLipaQ6E6MdDnntOzXG+lP9NBekhPpUkQ+ZESnXE25KQb+Hlhgl9nXAU7gL4EHgHV2mT0D2BB6\njCk3s4AvArOAu4Gfm3JjQrv7BXCvXWaXAqWm3Nw94u9GRETGpbruOh7Z/Ajzc+dHZZhzDQxSvPsE\nSe29tBdmRbockY8ZaQ9dDzAIxJtyMwTEA03Ag8CS0DbPAO8wHOruAV6wy+xBoMaUmypgsSk3tUCS\nXWbvCL1mBfA54I0R1iUiIuNMIBjg+5u+T0psCvlJ+ZEuBwBHIEj+8WbyKhspONJIRv0phmKcdOWl\nauJgiUojCnR2mX3KlJsfAXVAP/CmXWavM+Umxy6zW0ObtQJn+qTzgW1n7aIBmMJwKGw4a31jaL2I\niEwClR2VfOutb9Hl7+K2wtsiXQ4AS377NqXbqhhyORmMi6EvJZ6T84sZio2JdGki5zWiQGfKzXTg\nG0Ax0A28bMrNX529jV1m26bc2FdcoYiITFg/2fYThqwh7ii+IyqmJ0mr72TG1uOcnFdMME5Tksj4\nMdJTrtcDW+wyuxPAlJs/ADcBLabc5NpldospN3lAW2j7RmDqWa8vYLhnrjG0fPb6xnM1+NBDD32w\nvHTpUpYuXTrC0kVEJBocajvEzqadLC9ZHvEw5+nxMW/tPq55v5KezCSFORl3RhrojgL/YcpNHOAH\nlgM7gD7gS8Cjoa+vhbZfCfzOlJv/ZviUaimwI9SL12PKzeLQ6/8aeOxcDZ4d6EREZHzb1bSLf37z\nnylJLYn4XHNur5/P/vB14rr7aS3Jpj9V05HI+DOiP4nsMns/wwMYdgEVodVPAo8Ad5pycwy4I/QY\nu8w+DLwEHAbWAvfZZfaZ07H3AU8Bx4Equ8zWgAgRkQlsa/1Wvr726xQmFzIre1ZEa3EGgnz6p2uI\n9Q5QO7dQYU7GLWPb0X+ZmzHGHg91iojIhdV21fK3r/0tBckFTE+fHuly+OTP3iTvWBO1c4sgCq7h\nk/HPdHaydNVBbNs2F9969OjdKyIiY+KxbY/x+Zc/T6onNSrCXOH+GooqaqmfPVVhTsY93fpLRETC\nrqarhmcPPMutU28l2ZMc6XLIPdbM8ic30FaSg+XWr0IZ//QniYiIhN2K/StI96RHRZgzQYvbn36b\nnuwUunNSIl2OyKhQoBMRkbDb1rCNotSiSJcBlsUdv9mIp9dPx9T0SFcjMmoU6EREJKxavC20elvJ\nTciNdCl84vdbKN5XQ+2cQl03JxOKLhwQEZGw2d6wnR9t/RFJsUkRnzx4/spdzNx0mJq5xbpuTiYc\n/XkiIiJh8fTep/nq2q9i2zY3F9wc0VryKpu4fs1e6q4t1F0gZELSnygiIhIWG2s2MiN9BqUZpRGt\nw9PjY8lv36ErO4VAYmTvSiESLuqhExGRsPAGvBG/rZcjEOQzP16Nc3CI9uLMiNYiEk7qoRMRkbDo\nH+wnNjE2Yu2n1Xcyb10FKe09nFgwTYMgZEJToBMRkbDwDfrwOMe+hy6l+TR3/PptMhs66U/00HjN\nFIU5mfAU6EREJCz8QT9u19gNQHD5AyxctYdrNx7EmxrP8UXTFeRk0lCgExGRURe0ggwODeJ2jE2g\nc/kD3PODlSR19NB4TT7+5PgxaVckWijQiYjIqDrlO8UPtvwAl8M1ZnPPzV+7j+T2Hk7OL1avnExK\nCnQiIjKqHnr3Ifa37GdZybIxaW/a7hPMfXM/jTN1rZxMXnrni4jIqAlaQSpaK5ibM3dMpizJOtHK\nHb/eSOv0bPpTdJpVJi8FOhERGRWWZfGv6/6VoBUk1ZMa9vacgSDLntpIT1YSvVkpYW9PJJop0ImI\nyKj4/nvfZ0v9Fm4rvC38185ZFnc8tQFPn5/2oqzwtiUyDijQiYjIFavsqGRl5UpuLbw1/FOVWBa3\nPfcehYfqqZs9VdfNiaBAJyIio+DFgy+SEZdBvDv817EtWLWHGVuPUXtdIZZbY/tEQIFORESuUJe/\ni7dOvMWMjBlhbccZCDJ7wwEWrN1Lw8wpBD1jN2mxSLTTnzYiIjJitV21fHXNV0mISSAjPiNs7bi9\nfr5Y9hLOwSHai7I0cbDIRyjQiYjIZTt5+iRP7n6SDSc2kJeUx01TbwpLOyktXcx69zBX7agCbGoW\nTAtLOyLjnQKdiIhcsiFriCd2PcGK/StIj0vntuLbSHQnhqWtnKpmPvXYGwRjnJzKT6MvLSEs7YhM\nBAp0IiJySWq6avjOhu9Q21XLTVNvCt9cc5bFsl9toGRvDafy0+gszAxPOyITiAKdiIhckGVZvHDw\nBR7f8ThZCVksm7YsrPPMzdx0lOJ9tZxYMI0hjWIVuST6SRERkQv649E/8tPtP+X6/OvJTsgOa1uF\nB+r4xItbaL4qR2FO5DJo2hIRETmvvkAfj+98nDnZc8Ie5nKqmln+xDraizLpy0gKa1siE40CnYiI\nnNcvdv0C27YpSCkIaztp9Z186rE36MpNoTs3/PeBFZloFOhEROScarpqePnQy8zPnR/WdtxeP7c9\nt4mBhFhOTdUACJGR0AUKIiLyMdWnqvnepu+RGZ9JiiclbO3kH27gk0+sw3I6aJg9JWztiEx0CnQi\nIvKB2q5avr3u25zoOkGaJ41FUxaFtb3rNhzAn+ihZUZeWNsRmegU6EREBBi++8M33vwG/kE/d02/\nC5cjvL8iHIEgBUebqJ+lnjmRK6Vr6EREhBZvC3/zx78BGxZPWRz2MOfp8XH3z97AchgCCZ6wtiUy\nGaiHTkRkkrMsi7dPvo3T4WR+XngHQADkVTZx5y/XYTsMNXOLw96eyGSgQCciMglZlsVTe59ia/1W\nqk5X0T/Yz4z0GeFulOk7q1ny7Ca6clI0olVkFCnQiYhMQvU99Ty5+0lK00tZmLeQZHdyWG/nBfDp\nn64h71gzHUWZdOemhbUtkclGgU5EZBLa17KPRHciV2dePSbtFRyqJ7+ymapF0yHMwVFkMtJPlYjI\nJFTRWkGcK27M2pu3di89mYkKcyJhop8sEZFJqKK1gpyEnDFpK+tkG3lVLXQUZ41JeyKTkQKdiMgk\nE7SC1HbXkpuUG/a2cqqa+eQv3qIrOwXLpat8RMJFP10iIpPM4fbDOIwDjyu8878temUbc9dV0JWT\nQnvJ2PQGikxWCnQiIpNMRUsFCTEJYW+n6EAdbSU5dOeE716wIjJMp1xFRCaZfS37SHInhb2d+G4f\n/oTYsLcjIgp0IiKTij/o52D7QXISw3sK1O31E+sbYMDjDms7IjJMp1xFRCaJjSc38ujmR+kf7Ccr\nIXwjTqfvqOLW59/DlxwHLvUbiIwFBToRkUnAG/DynQ3foTS9lOnp08PWTlJ7D7c+/x6n81J1NwiR\nMTTiQGfKTSrwFDAbsIG/A44DLwJFQA3wBbvM7gpt/yDwZWAI+LpdZr8VWr8Q+C3gAdbYZfb9I61J\nRESG79Pa4m2hvqeehp4GmnqbONB6AI/LE9Ywl13dyt0/ewN/QqzCnMjZjJkKrACyGc5MT2Lbj2FM\nOh/JTdjDuQnz4dyEPZybzudK+sJ/ynAAmwnMAY4CDwDr7DJ7BrAh9BhTbmYBXwRmAXcDPzflxoT2\n8wvgXrvMLgVKTbm5+wpqEhGZ1F48+CKLnlrEPS/ewzff+iaP73ycVcdW0e5rZ1H+orC16/b6+cxP\nV9OXmkDLjPywtSMyTg0C/4xtzwZuBP4JY2YSyk3YH85NmI/nJoy5YGYbUQ+dKTcpwK12mf0lALvM\nDgLdptx8FlgS2uwZ4J1QcfcAL9hl9iBQY8pNFbDYlJtaIMkus3eEXrMC+BzwxkjqEhGZzGzb5veH\nfs+srFmUpJWMadvXbTiA5XDQWZg5pu2KjAu23QK0hJa9GHMEmAJcMDdhD+cmjKkCFgHbztfESE+5\nTgPaTbl5GpgL7Aa+AeTYZXZraJtW4MwwqvyPFNEQ+kYGQ8tnNIbWi4jIZTrYdpCm3iY+WfLJMW3X\n5Q9w7duH6JiaMabtioxLxhQD84HtQA72ZeWm8xrpKVcXsAD4uV1mLwD6ONNNGGKX2TbD54lFRGQM\nvHz4ZTLiMnA6nGPWpiMQ5NM/XYvtMPRlhH9uO5FxzZhE4FXgfmy790PP2RfNTRfMVCPtoWsAGuwy\ne2fo8SvAg0CLKTe5dpndYspNHtAWer4RmHrW6wtC+2gMLZ+9vvFcDT700EMfLC9dupSlS5eOsHQR\nkYnHN+hjw4kN3JB/w5i0F+MLULr9ODM3HSapo5ea+cVj0q5INNrX0sW+luGxDPh8597ImBiGw9yz\n2PZrobWtGJOLbbdgLpqbzpmPzhhRoAsFtnpTbmbYZfYxYDlwKPT/S8Cjoa9nCl4J/M6Um/9muMuw\nFNhhl9m2KTc9ptwsBnYAfw08dq42zw50IiLyYWuOr8HlcJEalxrWdlz+Qeav3ct16yuwnE68GUnU\nzC0Gh+abk8lrXm4q83KHf/ZMZyfPHG//8AbGGODXwGFs+ydnPbOSC+QmzIdz04VquJJ56L4GPG/K\njRuoZnjaEifwkik393Jm+C1gl9mHTbl5CTgMBIH7QqdkAe5jeNqSOIZHzWpAhIjIZXr18KvkJ4V3\ndOm03Se45YX3cQ4M0nR1Pv7k+LC2JzKBfAL4K6ACY/aG1j0IPAK8hPlwbsK2D2M+nJtCp2TPy1zk\n+ahgjLHHQ50iIpFwvPM4/+fV/8NdV92FyzH688XH+ALc+ct1TDnaSHtRJl15afDBzFMicjbT2cnS\nVQexbXtMf0h0pwgRkXHIG/CytX4r79e/z5b6LWTGZ4YlzAHMfXMfOSdaqb5hOpZr7AZciMilU6AT\nERlHDrUd4oldT7C1YStxrjiSYpMoSikiLzEvLO05AkFmv3uYtmnZCnMiUUyBTkRknKjsqOTvV/49\nGfEZLC9ZjsflCXubMzcfxTFk0ZeeGPa2RGTkFOhERMaBuu46vvnWN8lOzGZe7rwxadPt9bNg9R5O\nTUkfk/ZEZOQ0zlxEJMqdPH2Sv/nj3+A0TuZkzxmTNuNPe7n96bfBtunODe9UKCJy5dRDJyIS5X68\n9cfEu+JZkLcg7G3Fn/ay7KmN5FS3EIhz0zCz4OIvEpGIU6ATEYliFa0VbG3YyrKSZWFvK7GjhyXP\nvEtGQycnFpRgufUrQmS80E+riEiUquuu4/437mda2rSwD4DIqO/gnkf/xECcm7rZUxXmRMYZ/cSK\niEQhy7L41/X/SkJMArOyZoWljbzKJqYerCP/aBOZDZ30ZiTSelV4pj8RkfBSoBMRiSL+oJ+1x9fy\n6pFXqTldw50ld4alnbTGU3zmx6vxJ3roS42nZm4RQY87LG2JSPgp0ImIRAHLsvjN3t/w2/2/xYGD\nvOQ8lpUswxGmm97P3HQYf6KHhmunhmX/IjK2FOhERKLAmuNreHLPk1yffz3ZCdlhbcsELUq3V9Fe\nlBnWdkRk7GgeOhGRCPMFfDyx+wmmp00Pe5gDKN5fg3NwCF+a7v4gMlEo0ImIRNij7z+Kd8BLaXrp\nmLR3zaYjeNPjx6QtERkbCnQiIhF0uP0wa6vWsmjKorBdL3e2+at2U3Ckkc6pWWFvS0TGjq6hExGJ\noB9u+SG5ibnEu8PfY3brc+9x9ftHqbtuKkOaZ05kQlEPnYhIhLx98m0Oth1kTk7478+aUdvONZuP\nUDO3iIGkuLC3JyJjS3+iiYhEwJA1xI+3/pjpadNxOUb3ozjW6yet6TSpLadJbusmvbmLzLoO+lIS\nNNecyASlQCciEgFP7XmKDl8H83Lnjep+56/cxQ2rdhN0uwi6nAy5nQTiYunOSqY3M2lU2xKR6KFA\nJyIyxh5+72H+cOQP3FRw06gOhEir72T+m/upn1VAf2rCqO1XRKKfAp2IyBja07yHPxz9A7cX3z6q\nAyHcXj93/+wNvOkJCnMik5AGRYiIjKHnKp4jJz5ndEe1Whaf/OU6XIEgbdNzR2+/IjJuqIdORGSM\nrKtex3t173F70e1XvC+3109udQu5Va1MOdpIetMpTswvGYUqRWQ8UqATERkDjT2NfHfTd7ku+7or\n6p3LqO/gxpe3kl/ZTNDtYjA2Bl9yHCfnFmO7dNJFZLJSoBMRCTPLsvj2um+THJtMYUrhiPdTuL+G\nO3+5nr6UeKpvKMFy6SNcRIbp00BEJMwOtx+m6lQVd02/a0Svd3v9LP3tOxQdqKNtWhbduWmjXKGI\njHcKdCIiYba7eTcJ7oQRT1GyYO1eplQ2Ub2wBEu37BKRc9Ang4jIFQgEA6w+vpq2vja6/F109XfR\nHeime6Ab74AXb8BL10AX12VdN6L9u/wBZm46QstVuQpzInJe+nQQERkBb8DLm1Vv8tSep+gZ6CEh\nJgGnw0msMxa3y43H5SEnMYciZxHx7ng8Ls+I2ln8hx3YxtCfMorTnIjIhKNAJyJyiSzLYsPJDfyp\n8k/sbNpJrDOWwpRCbsi/YVTv+HDG3DV7mbXpCDVzikZ93yIysSjQiYhcgjZvG//+9r+zv2U/+Un5\n3Fp4K4nuxPA0ZlkUHGrghpW7qJtdwGC8OzztiMiEoUAnInIRa46v4eHND5MQk8Cd0+/E5QjPR2dc\nl4/Ff9hOUUUtroFBunJTGEiKC0tbIjKxKNCJiFzAysqVfG/T95iTPYepKVPD1k5yazefe+Q1bIeh\nbVq2rpkTkcuiQCci8hE9/h5+tftXrK9ZT1tfGwvzFpKflB/WNhf/YTuWy0nD7IKwtiMiE5MCnYgI\n4Av42NG0g631W3mj6g0cDgel6aXckBeeAQ9nm7armuL9NVQv0L1YRWRkFOhEZFIKBAPsb93PtoZt\nbKnfQtXpKmKdsSS5k7gm8xrykvLCX4Rlcd36gyz+43ZapuVonjkRGTF9eojIpNLh6+DelffS0N1A\nrCuWhJgEchJzWDZt2YjnihsJE7S4+/G15Fc20Xh1Pv2pCWPWtohMPAp0IjIpHGo7xB+P/pF11evw\nuDx8qvRTYRuteimuffsgeceaObFwOrYrvKd0RWTiU6ATkQmr1dvKysqVrDq+iubeZtLj0rk2+1qy\nErIiWlfRvhoW/2E7zaV5CnMiMioU6ERkQrEsiy0NW3i+4nl2Ne0iKTaJqSlTmZs9N+yDGy5FXmUT\ny59cT2txNn3pYZqYWEQmHQU6EZkw2rxt3P/m/Zw4fYK8hDyWlYztdXEXY4IWy361gdN5qfTmpES6\nHBGZQBToRGTCePT9R2n1tnJXyV1R0Rv3UTe/tIWYgUFOTQ3fBMUiMjlF3yeeiMgIrKpcxaa6TSya\nsigqw9y0XdXMfPcIDTM1cbCIjL7o+9QTEblM/qCfH2z5AXOz50bVKdYz4rp8LH3mXVpLshmMd0e6\nHBGZgBToRGRcC1pB7l97P07jpCAl+nq/TNBi3pv7GIpx6ro5EQkbXUMnIuPaY9se40DbAe6Ydkdk\nCrAsCo40ktLaTXy3j8ROLwldXhK6fHi8fmJ9A9gGGmbpujkRCR8FOhEZt3Y37eaFgy9wS+EtYz5J\ncPxpLwWHG5mzroKU1m4GPTFYTgeDsS4GY2PwpcRxOjeVgMcNmmtORMLsij4BTblxAruABrvM/gtT\nbtKBF4EioAb4gl1md4W2fRD4MjAEfN0us98KrV8I/BbwAGvsMvv+K6lJRCYHb8BL2TtlTEubRopn\nbE5lpjSfZsHqveQfayKhq4+BODfetASqbyiBKByIISKTx5V+At0PHAbs0OMHgHV2mT0D2BB6jCk3\ns4AvArOAu4Gfm3JjQq/5BXCvXWaXAqWm3Nx9hTWJyAQXtIL8y1v/gm/QxzUZ14S9vbguH0uefofP\nl79C3vEmunJSOHZjKbXzp9FZnK0wJyIRN+JPIVNuCoBPA08BZ8LZZ4FnQsvPAJ8LLd8DvGCX2YN2\nmV0DVAGLTbnJA5LsMntHaLsVZ71GRORjTvlOce/KeznQdoCbp94c9ilK8iqb+Mv/+D2FB+uonVNE\n08wC+jKSFOJEJKpcySnXHwP/AiSftS7HLrNbQ8utQE5oOR/YdtZ2DcAUYDC0fEZjaL2ICDB8K6/q\n09Vsqt3Ee3Xvcbj9MGmeNO4oviOsYS7rZBtz39xP8b4aOgvSOV2QEba2RESu1IgCnSk3/wtos8vs\nvabcLD3XNnaZbZtyY5/rORGRi6ntquXJ3U+yvXE73QPdJLuTyUrIYmnRUuLd8WFp0wQt8qqauXb9\nAYoO1tGXmkDN3CKCcZo7TkSi20h76G4GPmvKzacZHsyQbMrNs0CrKTe5dpndEjqd2hbavhE4e8x+\nAcM9c42h5bPXN56rwYceeuiD5aVLl7J06dIRli4i0S4QDPC9Td/jeOdxZmfPJjMuM2y9cSnNpyk6\nUEfhgTpyqlvBGHxJsVQvKMFyayIAERkfjG1fWSeaKTdLgP8vNMr1B0CnXWY/asrNA0CqXWY/EBoU\n8TtgEcOnVNcDV4V68bYDXwd2AKuBx+wy+40PtWGMfaV1isj4cLzzON944xt0D3RzS+EtYbnzg9vr\nZ8Hq3ZTuqMbj9eNPiKU/KY6enGQC8dF3pwkRGT9MZydLVx3Etm1z8a1Hz2j9+XkmbT0CvGTKxl4a\nvQAAIABJREFUzb2Epi0BsMvsw6bcvMTwiNggcJ9d9kFCu4/haUviGJ625ENhTkQmh0AwwJaGLTy1\n5ymG7KGwXSMX1+Xj8999GWybzqmZ9KXGa4CDiIx7V9xDNxbUQycyMXkDXt6oeoP1J9azr2UfLoeL\n5Nhk5uXMw+0avevWnP5BCg83ULT3JIWH6rEcDhqu1Z0bRGT0jfceOhGRC7Isiy5/F029TdT31LPh\n5AY2123G7XSTnZDNLYW3kOhOHLX2ktp7mL6zmqKKWrJq2wnGuBhIiKV9aib9KXGj1o6ISDRQoBOR\nsOvx9/BXf/wrGnsaiXXFEuOIITk2mZsLbibZk3zxHVyGggN13LByF5l1HQwkxNKXmsDJucUMeWJG\ntR0RkWiiQCciYeMP+llZuZLfHfgd3oCXv7j6L8LaXtaJVu76+Vt05yRTdcNV2LqHqohMEgp0IhIW\nOxt38s03vwkGCpMLmZM9J6ztJZzyctuz79GXlkBHcXZY2xIRiTYKdCIy6izL4uHND5ObmMvs7Nlh\nb88RCPK5h18DA43X5Ie9PRGRaKPzESIyqizL4mc7f0ZzbzMzM2eOSZu3vrAZtz9A46wCTUEiIpOS\neuhEZNT4Aj6+u+m7vH3ybW6aelNY77V6Rv7RRkq3HqdmXlHY2xIRiVYKdCJyxdq8baw5vobfH/w9\n/qCf26fdHpY7PHxUcksXy59cz+n8NIIe3W9VRCYvBToRuSLv1LzDA+sfwOPyUJhSSElayZi0m3Wy\njbt+/iYDcW46CzPHpE0RkWilQCciI2JZFr/Z+xue3PMk12ZfS2FK4Zi1XbivhjufXE93VjId0zSi\nVUREgU5ELpsv4OOra7/KkfYj3DjlRtLj08emYcui8GA9y3+1gY6iLLpzUsamXRGRKKdAJyKX7cfb\nfszxzuMsK1mGyxHej5EY3wBTD9ZTVFFH4aE6YvyDdBZkKMyJiJxFgU5ELstrR17jtaOvsaR4SVjD\nXO6xZm56eSsZ9Z0E3S78CbG0FWXRnxIPZkzveS0iEvUU6ETkku1r3sfD7z/M9fnXk+hODFs72dWt\n3P702xjb5uSCaQy59VElInIh+pQUkYuyLIudTTv5t43/RklqCTmJOWFr6+rNR7n1uffozUyitSRb\nEwWLiFwCBToROS9fwMcLB17gD0f/QIevg8KUQq7OvHr0GrAs0pq7yK9sIqeqhZyTbSR19tI8PZde\nXSMnInLJFOhE5JxavC3ct/o+2vvamZ4+nYV5C0flzg+eHh+FB+qZerCOKZVNxPoGCMTFMhDnxpue\nSMv0XGyXeuVERC6HAp2IfEwgGOBra75GX6CP24tvv/IgZ1nMX7OX0u1VpLR1E/DEMJAQS8fUTHwp\ncTqtKiJyhRToRORjXj/2Ok29TSybtuyKwpwzEKSwopbS7ceZerCejqIsqm64Sj1wIiKjTIFORD7m\ntaOvkZeUd0VhbtruE9z+m7exHYb+JA+1c4t0v1URmZyM+Q3wGaAN274utC4deBEoAmqAL2DbXaHn\nHgS+DAwBX8e237pYE/ozWUQ+ZOPJjVR2VnJN5jUj3kdcl48lK96lc2oGJxeW0DIjX2FORCazp4G7\nP7LuAWAdtj0D2BB6DMbMAr4IzAq95ucYc9G8pkAnIh8IBAP8ZNtPmJ42fcSTBjsDQe7+2VoGY2Po\nzk0d5QpFRMYh234POP2RtZ8FngktPwN8LrR8D/ACtj2IbdcAVcCiizWhU64iQmVHJS8eepG3qt8i\nxhHDvJx5I9pPjC/AXT9/k+S2HmrnFo1ylSIiE0oOtt0aWm4FzkzwmQ9sO2u7BmDKxXamQCcyyR1s\nO8jfr/x7UmJTmJ87n4z4jMvehwlazNh2jOtf34UzMETtdUUauSoicqls28YY+0JbXGwXCnQik1hf\noI9vr/s2BckFzM6ePaJ9ZNS28+nH1uIKBOnKSeF0weUHQhGR8WxfSxf7WobHM+DzXerLWjEmF9tu\nwZg8oC20vhGYetZ2BaF1F6RAJzJJWZbFd9/9Lr5BHzfk3zCifRTvOcnSZ97Bm5pAx7TsUa5QRGR8\nmJebyrzQNcOms5NnjrdfystWAl8CHg19fe2s9b/DmP9m+FRrKbDjYjtToBOZhN6ve5/nKp5jT/Me\nbp92O8aYy3q9CVp84nfvcc2WY7QXZ9KdmxamSkVEJgBjXgCWAJkYUw/8J/AI8BLG3MuZaUsAbPsw\nxrwEHAaCwH3Y9kVPuZpL2CbijDH2eKhTZDzwB/3cueJO0uLSmJU1C4/Lc1mv9/T0M2ddBXPWV1Az\np4hgnKYjERE5w3R2snTVQWzbvry/lK+QeuhEJpGgFeRbb30Ll8PFgrwFl/YiyyL7ZDuFB+sorKgj\no6GTQFwMzaW5CnMiIlFCgU5kEnlu//Bp1mXTll18Y8ti3hv7mfvmflyBQQbiY+lLT6Dq+unYMc7w\nFysiIpdMgU5kkggEA6yoWMG1WddefNJgy2L5kxsoqqiluTQXX2oCXOZ1diIiMnYU6EQmiVeOvEJg\nKMCU5IvOT8nMTUcpqqjh5LxpWG59TIiIRDvN/CkyCQStIM/sf4bS9NKLbptR38GNr26noyhbYU5E\nZJzQp7XIJLDm2Bp6BnpYnL/4vNt4enxM21PDDSt30pueQHdOyhhWKCIiV0KBTmSCCwQD/HrvrylJ\nLcFxjttxOQJBPvU/a8k/1kwgLobezGRO6W4PIiLjigKdyATmD/r52pqvcar/FHNz5p5zm5te2UZW\nTTvVN5RgufSRICIyHunTW2SC8QV8HGo/xInTJ3ij6g2qT1ezpHjJOXvnrtp2nFmbDlMzp1hhTkRk\nHNMnuMgEYVkWO5t28h9v/wfegBePy0O8K57bim475zQlRftqWPrMuzSV5jEYrwmCRUTGMwU6kQlg\n7fG1/GLXL2jxtlCcWszNU2++4PYLXt/NgtV7aJ+WTV9G0hhVKSIi4aJAJzJOdfg62N+yn1cPv8qu\n5l1cnXE183LmnfPU6tnyjzayYPUe6q+dykDi5d3HVUREopMCncg4s7NxJyv2r2BbwzbiYuJIik1i\n+bTluF0XP21atK+GO3+5js6CdIU5EZEJRIFOZBywLIvXj73OiooV1HfXk5uYy7KSZXhclxfKFr6+\nm67cVE5rWhIRkQlFgU5kHPjN3t/wyz2/ZEb6DO6efvdFT6ueS15lE+mNp6i6fnoYKhQRkUhSoBOJ\nQpZlcaTjCHub97K1YSs7mnZw05SbSI9PH+kOufmlrfRkJYFLd/wTEZloFOhEokhtVy3PH3ieN6re\nIDAUID4mnhRPCrcX3U68O37E+539ziFSm09TfX3JKFYrIiLRQoFOJEqsq15H2TtlJMYkMidnDpnx\nmaOy34JD9Sz+ww5apufACE7ViohI9FOgE4mwVm8rj7z3CJvrNzMnZw5TU6aO2r6v2XSEW363mc6p\nGZpvTkRkAhtRoDPlZiqwAsgGbOBJu8x+zJSbdOBFoAioAb5gl9ldodc8CHwZGAK+bpfZb4XWLwR+\nC3iANXaZff+VfEMi48WQNcTzB57nl7t/SaI7kTtL7rykqUcuJqO+g2s2HaF4fy3x3T4ar8nHl5Y4\nChWLiEi0Gun5l0Hgn+0yezZwI/BPptzMBB4A1tll9gxgQ+gxptzMAr4IzALuBn5uyo0J7esXwL12\nmV0KlJpyc/eIvxuRcWJv816++MoXeWLXE8zNmctNBTddeZizLIr3nOSzP1hJ8b4aurNTOL74KoU5\nEZFJYEQ9dHaZ3QK0hJa9ptwcAaYAnwWWhDZ7BniH4VB3D/CCXWYPAjWm3FQBi025qQWS7DJ7R+g1\nK4DPAW+M7NsRiW5d/i5+uOWHvFn9JoXJhSyftnxEU5B8VMGBOm59YTPxp310FqTRNUXzzImITCZX\nfA2dKTfFwHxgO5Bjl9mtoadagZzQcj6w7ayXNTAcAAdDy2c0htaLTDgbT27ke5u+hwPHFY9aPds1\n7x7ilt9v4VR+Gs1X5Wrgg4jIJHRFgc6Um0TgVeB+u8zuNeXmg+fsMts25ca+wvpExj1/0M8jmx9h\n9fHVzM6cTXFa8ajsN7m1mxtf3UbR/lpdJyciMsmNONCZchPDcJh71i6zXwutbjXlJtcus1tMuckD\n2kLrG4Gzh+4VMNwz1xhaPnt947nae+ihhz5YXrp0KUuXLh1p6SJj6rFtj7Guet2o9MqZoEXx/hpm\nvXOI/GPN+FLiObGwhCG3BqyLiExmIx3laoBfA4ftMvsnZz21EvgS8Gjo62tnrf+dKTf/zfAp1VJg\nR6gXr8eUm8XADuCvgcfO1ebZgU5kvDjlO8Xq46uZkzPnysKcZbHojzu5ZvMRXIEhetMTqV5YgqUg\nJyIijLyH7hPAXwEVptzsDa17EHgEeMmUm3sJTVsCYJfZh025eQk4DASB++wy+8zp2PsYnrYkjuFp\nSzQgQsY9f9DP9zd9n/Un1pPqSSUnMefiL7qA6zYeYs76CpqvytV8ciIi8jHGtqP/MjdjjD0e6hQ5\nY8X+FTyx6wlunHIjyZ7kEe0jubWbogN1FO2rIa+qmabSPIU5EZEoZzo7WbrqILZtm4tvPXp0vkZk\nlAWGAjxX8RwzM2dedphz+QPM3FzJ7I0HSOr0MhDvpj8pjhMLdJ2ciIicn35DiIyylw69hD/opyC5\n4OIbn2FZFBxqYOmKd3ENDHI6N40WTUEiIiKXSIFOZBQNBAf47d7fMiNjBsZcuLc9saOHnBNtFBxq\noOhALW5fgFP5aZyaPXr3chURkclBgU5kFL1y+BUGrIGP985ZFlk17Uzbc5LcqhbSm04T4x9kMC6G\ngMdNx9QMfCnx6pETEZERUaATGSWBYIBXj7xKYXLhh9YX7znJrc+/R2zfAP5ED76UOJpn5DEQ71aA\nExGRUaFAJzIKAsEA//72v9Pe187txbf/+QnL4qZXttKfHE/97AIFOBERCQsFOpEROt55nKf2PMXR\nzqM09jTicrhYWrwURyi0TdtVzbw39xPf5aP6eg1wEBGR8FGgExmhFw++yHt17zEzcyazM2fjdrk/\neG7G+5Xc9twmurJTOLGgRGFORETCSoFOZIQavY0UJBcwNeXPo1KzTrRy23PvkdZ0mvbiTLpz0yJY\noYiITBYKdCIjYFkWzb3NZMRlfLDOEQiyZMUm3P0DVF0/HVzqlRMRkbGhQCcC+AI+1latxT/kJxAM\nEBgK4A/6GQgO4A/68Q/58QeHn+sb7KPqVBUDwQFmpM/4YB+3/m4zSZ29nJxfrFOsIiIyphToZNLr\n8ffwlVVfob67nriYOIwxnPnnMA6cDidO48TlcOE0TpwOJwvzF5LuSKToQB35lU3kVTaR3nSaEwum\nKcyJiMiYU6CTSa3D18FXXv8KPQM9LJu27IMRqpfi+le2MWf9AXwpcfSlJVB1w3Qs3W9VREQiQL99\nZNJaV72Ohzc/jNvp5uaCmy8rzAFk1XfSlZdKR1FWmCoUERG5NDo3JJPS5rrNfGfjdyhMLuTGghsv\nP8ydaCWjvoP+RE+YKhQREbl06qGTScGyLE52nWR38252N+1mS8MWrkq7iuK04rM3IsYfJL67j/ie\nfjy9/cNfvf7h5W4fcb1+4rt9JJ7y4k2Lpy8tIWLfk4iIyBkKdDKhVXZU8viOx9nXuo+B4AAJ7gSS\n3EnMypxFXlIezkCQq3ZUcfWWSnJOtGKGbIZcDiynA9vpwHI4sJwGy+kg6I4hGOuiLzWelpIcTUsi\nIiJRQ4FOJiR/0M+jmx9l1bFV5Cbmcn3e9aR4Uv68gWUxe30F16/ag2PIojc9kRMLShjSoAYRERmH\n9NtLJgTLsjjScYTtjdvZ3rCdg+0HcRkXS4qXkOhO/GC7uC4fWfUdTN9RRcmuatpKcujNSo5g5SIi\nIldOgU7GtXXV63it8jUqWioIDAVIdCeSHpfOovxFpHhSyKjvYNbbu8muaSe5vYeYgUEGY2MYdLuo\nnVNEMM598UZERESinAKdjFtd/i7+8+3/JC8pj4X5C0n1pH7wnDMQ5JM/XUPBkQZ8yXF4UxNpvCaf\nQJxbE/+KiMiEo0An41L/YD9fXfNVktxJzMmZA0DCKS8FhxvIq2yi4GgjroEg1deXYLn0NhcRkYlN\nv+lkXPruu9+lvrueJUVLKNxfw7w395NT3cqgx40/wU1XTire9AT1xomIyKSgQCfj0taGrczJmcN1\nbx/ippe30Z2dTPUN6o0TEZHJSb/9ZFzZ1bSLJ3c/iTfgJd8fy+I/7qDp6nx8muBXREQmMQU6GRcq\nOyr58bYfs7t5N1OSpvC/cpfy2R+twR8fqzAnIiKTngKdRKWgFWRn4042ntzIprpNnPKdIjshm7um\n34XL4eLun64hrtdH3bWFkS5VREQk4hToJCpYlsXh9sNsbdjKtoZtHGo/hMGQ4kmhKKWIxfmLcQeC\nzHi3khlbj5FV00719SUa9CAiIoICnUSYZVlsrtvMw5sf5lT/KZLcSWQkZHBL4S0f3OHB7fUzZW8N\nN76yjdg+P96MZKoXaQCEiIjIGfqNKGETtIL4g358AR/dA93U99TT0NNAfXc9dd11NPU20eHrIGgF\nmZExg8UFi3ENDJJ9opXsncfJPtlGVk078d0+BmNd9KYn0lxarF45ERGRj1Cgk0tiWRZP7nmSuu46\n+gf78Qf99AeHvw4MDRAIBoa/DgUYHBpk0BokaAVxGAcO48DpcBLrjMXtdBPrjCUpNon8pHxmZs4k\nzWtxw6rdTD2yk8RTXoIxToKxMQzEuenKTaXx6nxwKsSJiIicjwKdXJQ/6OeB9Q+wvWE72QnZuBwu\nXE4XLuPC4/SQGJNIjDMGl8NFjGP4q9vlxoEDR6g3zREIktTZS0pbN0mdXhJOnSalrZbETi9pLacZ\njHXTlZ9Gy/QcbJczwt+xiIjI+KJAJxd0vPM433rrW3T7u/lMyiIyuv3E9g3g7h/E3R/A7evFPTCI\n2zdAbN8Asf0BYvoDxPYPEjMwiGtgkJhAEMfgEJbLQTDGieV0MuRyMOhxMxDnpmFWAYEET6S/VRER\nkXFLgU7Oyxfw8fW1XyeOGL5xKJkbVr+K5TRYTge2McP/nQ4sA7bTwZDLyVCMkyGXk/7EWLxp8QzF\nuAi6XQy5HLr2TUREJEwU6ORjfAEfu5p28Vrla0ytbOFbG/qI6+6n4Zp8/CnxkS5PREREPkKBbpKz\nLIuTXSepaK3gQNsB9rXso667Do/Lw9VtNv/+aivenHSaF+aqh01ERCRKKdBNMEEryL6WfXgDXrwD\nXvoG+/AGvPgGffQGevEGvPQGeukL9NEb6KWxp5GgFSQ+Jp54p4fZvkQ+11pMft1pCg/WMZCSQGdR\nZqS/LREREbkABboJwhfw8ftDv+f5iufxDfpwO90fTBly5v+ZUahup5tYy1Dgc7C8LY+iul5yq1tI\nbzqNI2gx6Ilh0O3ClxpPV25qpL81ERERuQgFugnAsiz+YfU/cOL0CebHT+f6Dpu4nn7ievvx9PYT\n19NHfE8/nj4/sb4B3L4ArkAQy+Vk0O0iGBuDLzmO+pkFDMa7wZhIf0siIiJyGRToxjF/0M+fjv6J\nFw6+QPKRk/xwv5uCyvUEY1xYTgdDzuFRqEF3DMFYF/2JHnozkhiMHR55qmviREREJgYFunEoaAV5\ndv+zPL3vadJO+/lUTQyf3nAKX0o8NXOLCHrckS5RRERExpAC3TjS4m1he8N21qz+MTN21/GTGpvc\nzgH88W46CzPpzkmJdIkiIiISAQp0Ucrv93Jo+yoa92+m63gFjpO1pLf3MrXb4ttBJ3ZyMt7MZI6V\npIBLp05FREQmMwW6KNHibeFQ2yEOtx/mWO0ebnx6HQuOdFHkiaEoxo2Jj8dKLsA/xUN9okfXv4mI\niMgHFOgiyLIs1lW9yYaXHiG7oprSliA3dwb4TL8NsbE0LZ5DME7Xw4mIiMiFKdBF0BOPf4lZT6/i\nK70O7LQUBhJT6SuNoy45Tj1wIiIicskU6MLMG/BSU1tB67E99Jw4ireuiqGWJjwtHdxa3cNQ0VQa\nrstSgBMREZERi4pAZ8rN3cBPACfwlF1mPxrhki6fZeE/foTanevpOLidgcMH8dQ3kdjdT+wQ5MQ4\nyXQ5ISYGExODHZeA79o8+tOTIl25iIiIhJv5cNbBHt2sY2zbHs39XX4B5cYJVALLgUZgJ/C/7TL7\nyAfbGGNHus6PsSzw+aCri/aje2n+t6/haGsn4HYxFOMimOBhKC0VOyWZodiYUe2B62rpIlW35Don\nHZtz03E5Px2bc9NxOT8dm3PTcRlmOjtZuuogtm3/+bZL5txZB/vPWedKRUMP3SKgyi6zawBMufk9\ncA8wat8klgWBAPj9w/8HBoa/Dg7++fGZ/4HAcFDr6cHq7magowVfRwsDXR0Eu09heXuxvF6Mv5+h\noSADZoiggZ6MRAKfmIfTFTNqZZ+PfmjOT8fm3HRczk/H5tx0XM5Px+bcdFwuaBFQhT2cdTCjn3Wi\nIdBNAerPetwALP7oRpXf+GuMfwATCGAGApjBQUxgcPjr4CBmMDj8NTiEYzCICQ5hhob/OwaHsAzY\nBiyHwTIMPwYsY2Mbg2VsLIa3GbSHCNiDDNhDBJwQdLsYinEy6HYylBSDlRWHiU3DFesh1hmLy+HC\nGINzjA6YiIiIjCuXlHWuRDQEuks6lzrw+h+xAduY0FewHDDkMFhOw5AxWI7hwDZkYMjtYOjM8w6w\nHQbD2Ted//CjszmNkxinB5fDhdPh5MzEIXEfFAMMBIDACL7dK5fS04ujsSkibUc7HZtz03E5Px2b\nc9NxOT8dm3PTcRkW09N3rtVhv24sGgJdIzD1rMdTGU6uHzL3xDkP0OR18lSkK4heOjbnpuNyfjo2\n56bjcn46Nuem43I+l5R1rkQ0BLpdQKkpN8VAE/BF4H+fvcGHLiwUERERGV92AaUYU8x5ss6Vivjk\nZ3aZHQS+CrwJHAZePHuEq4iIiMi4Zn8864zmCFeIgmlLREREROTKRLyHTs7NGBMf6RpkfDHGpBlj\ndHmCXDJjTKExxhPpOmT8MMZcZ4xJiXQd8nEKdFHGGJNljFkB/MoY8/1I1xONjDH3GGPuM8bcEOla\nokHoPfMM8BzwXwp1H2aM+X+MMd8xw7O0S4gx5svADuAvI11LtDHG3GaMedUYc3Wka4kWoc+Zx4Fn\ngKsiXY98nAJdFDHGLAbeAeqAB4DPG2P+OvTcpP8lbYwpMMasAb4FZADPG2OWRbisiAq9Z7YyPFrq\n/2X4l/PnIlpUlAi9X9YCXwM6gKeNMXdEuKyIM8ac+dwfZPjz5gZjzIzQc5P+cyZkPnAtsNgYkxzp\nYiLNGHMd0MrwxfyLbNveHeGS5ByiYZSr/Fkv8HXbtjcAGGMeYvgiymej795nEXE98LZt2/8FYIzp\nAv4R2PD/t3fnwZJVhR3Hvz9mhn1fdCAsIoKCwhSgDDsIRIpUAFEiRhEUo5RWBCIMQZJiCVMImlRQ\nMVAFDEiFAKHAQRaJCkEwgiIoECPIzihrscygOIzM/PLHOe30vKV57/Fe97zbv88/7/W93V2n+/3u\neefee5aelqq3fg18wPajAJKuBl7vbZGWG1sBV9meA6WBB8NOP9k3bC+pv24MPEeZ7PQjwOzUM3+y\nDmUG//cBjwI/6m1xesv2/ZIeB+6y/bqkPYHf2n6kx0WLNmnQ9ZCkGcDWwHdtz6dUrI/Us+QVgJco\nQ52RtEJbRdw3JG1o++n68KfA/7Ttfp66bIqWywV/x98QmVlg+yVJawCXAbsAW0vaHTjX9rwOb9c4\nA/LyI9u31O3HU656ryppuu3LelbILmvLzI22F0ia6jLi7hngHmAxcJCkw4CHbN/Tw+J2XSszbfXu\nEuAF4EzK1BLbSfol8JrtV3tY1K4ZmJm6+Wjgekk3UBq8knQn8A3bv+1RUaNNbrn2SL2V+nPgGMrl\nfWy/Yvu1+vtiYBvg1fq4rxpzknaW9Czw/dY220/Zfr7tttDGwNp1Xz805obKzOL68xXgLNsbUCre\nDYF396ioXdeWl++1ttleVPe9A1gJ2BO4DThD0vSeFLTLBmRmB4DamKM+fpkyhcKuwLnAW3tQzJ4Y\nmBkXi2tdMoOyFNDXKY2624Dde1bYLhoqMwC2vw9cAfzc9vspd0c2BrbrRTljsDToekDSipSrce8D\nbgL2lPRndV/7laYDgG/X7QdI6otVj+sI3z2Ak4EFkj5Vtw/M637AVXXfel0tZJe9UWYAbP+4/nyM\nskDd1r0pbXcNyMsrQ+TlUdtn2r7T9neA+4EjelPa7hlBZh4GTqTcTpwHzKVP/id0yMzU+t08CWwE\nnEMZAPAI8IseFbdrOmWm+rTtMwBc5lB7jXLhIZYDfXHwLg8k7S/pJElb1isHP64dS+dS+vq8V9IU\n25Y0TdJKlMv+MyX9N/AZyq2ARqoV6VaSVq23Na62fREwG5glaY32q5SSpgJPA49JOgv4QdM6L48m\nMwNetzewJeUWdSONJi8DcjONMkDi1l6Ue6KNMDNTa2YWU/rt7m/7EOA+YIt6bDXOCDPzev1utgAu\nB24HdqYMINm7id/NSOsZWObqLpLeD7wTuKsX5Y7BMrFwF0g6FfgYcAOwGXCz7X9r2z+LcjZ4ke3/\nrdvWp3RY/ilwmu2bul7wLpH0IeB8ymjNxZSzwJfa9s8FHrB9Um3ALJa0LuUf88PAd4HTbTdmEcHR\nZqb+o9kcOIXSmDvL9tzul3zijTIvK1AWxd4I+AvKbaKfAMe1ujc0xSgyc4nteyWt1P4dSFqn/Xts\nktFkpj5ek/L/cX59vA9wh+0/dL3wE2gM9cwU4C3A2ZTG3JebWs9MRrlCN4FUrEw5ID5g+4uUSmU3\nSYe2PfU/KJ1MN1eZHPZdwO+AD9veudWYa50lNYmk1YCDgQNtH0zp03OcpPb+XycCh9XOy4vrazah\nfG+H2j62KY25MWZmXeDtth8CvlUzM7f1fl3+CBNqDHlZAqwIrEr5B/RZ259rUmNuDJn+idAlAAAJ\npElEQVTZVNI6lIZ/6zYbrQbOEF0bJrXRZqY+nmJ7vqRVAGzf0qTG3JuoZ7asg47m2J7Z1HpmsmrU\ngbu8qJewt6ydbBdS5jP687r7DsoVpY/XA4o6QmgucDrwOHCk7YW2W/3nptbnLe7uJ5kY7bdGbf+e\n0tdr/brpn4GVgX3bPvevgYuASyT9O3C87XttH277vu6WfmK8ycw8BhxVt/+gvl/ru5v0l+DHIS8n\n2X7I9gm2f9bd0k+cccjM4XX7ovb3dQMGYL3JzFwKHFe3N6YRB+OSmU/W7bfW92tMPdMEadCNI0m7\nSroZ+BLwTZVZtQG+RpkkeJrt31Gm3niKeiCpdOg/DfgDsI/tL7W/b3u/hclO0inALZLOltSaof7b\nwHtUpmb5P0pfnk1YdjbytYF9gCdt/1NXCz2BxjEzJ7W/b1MyM055Ob2rhZ5g45SZfQdmpinGITO/\nsX1qVws9wVLP9Ic06MaJpA0oM/Vfbntv4NPAR1RGCN1EOUiOqU9/lnILqP3M+Djbu9m+W9IKDbzt\nMV3SlZQK9FOUCvVYlfnT7gemA3vVp/8Q2JE6CETSXpR+UJvbPrnbZZ8oyczwkpehJTPDS2aGlsz0\nj/xhxs8C4ELbF6p03J9Hmd9oE8pIsguAv5E0w2WE1bqUubGw/UL7JWzbS5pw22OA3wPX2j7C9v2U\n+eUeosyXdhdlkuADJK1n+zeUSZW3rK+93fasur1JkpnhJS9DS2aGl8wMLZnpE2nQjdHAsxSXTtb3\n1t8XS1oL2ImyPIpd5gi7EPh7SY9SDqRbB75vUy9hu0x8e137JmBb4GXbzwJXA6sAl9c+LG+nnGE3\nok8PJDOjkbwUyczIJTNFMtO/GjenTre0KgC1LcnVtm0KZfTQw25besn2v9TL/xu7TMrYF0tWtT5j\nrXBb1qNUKM8B2H4Q+ILK9AKbUqYV+GMPijthkpmRSV6WSmZGJplZKpnpX7lCNwqtMx8tNYsyo/Yy\nZ0Uuo1E3BO6StK6kSyW1RpS9YvtX9fWDJoVtEpURVWvYtlSGtbd+UuZMe7puO1BlsWdsX2P7nKZU\ntMnMyCUvRTIzcslMkcwEpEE3Km1nO65hfzdwUGv3gKcfCnyCcgvgOeDKAe9lN2QaEhh2HqLPUYf/\nt7RVEnsAK0m6CJgFLJzYEvZGMjO05GV4yczQkpnhJTMBadB1pLYRPfWsZYak0yRtVZ9yNbBE0oqt\nSqTtbGgRpSPux13mv/qjGjg6SG2THUtaSdJBbbtvAF5sP9trnT5S5j/aDfiZ7T1tN2KZqmSms+Rl\nsGSms2RmsGQmhpI/4jDUNqJH0vR6UDwJrA6cIem9wDRguu1FrQPCSzvXftn2YbYfbx18bljHW0lq\nncnV72cz4AJJf6UyMeUiYCeXjrittQBbZ5BzgG1tn9erzzDekpnhJS9DS2aGl8wMLZmJ4aRB10bS\nyq0zHNuvS1pN0jnA9ZJmAzNsnwD8F3AyZUmUnSWtP/CAcBlVRT1zbMxQb5WOs9TPZEn7Srpa0tGU\nWxoHALtS1vq7EthB0katSrmtcpnrMkR+UktmOkteBktmOktmBktmYiTSoKskbUTpQPtNSauorG/4\nNcrcRftRRgbNrgfBHOBiYE/KJIzrDPe+bkhfBElTJH0MOLF+N0g6Avgq5bbHBpRlY34BnABsD3yF\nspTZn76fJlUeyczwkpehJTPDS2aGlszESKVBV9l+CrgTWBM4ymV9w9OBbwGXUeYvWgScUZ9/HfDF\num0tGLbT7qTXdtvDlM+6X921KfAV23NszwYeBL5en3sE5bvZvxdl7oZkZmjJy/CSmaElM8NLZmKk\n+rZBJ2kTSf8qabf6eD3gAcpB0lrAeB5wJHCP7b8GrgKOkvQ2KLNoU2Yj36I+btQwb0l/KelO6iLe\nwPWUM8U96lniRsDMtpecDbxTZRqBx4FTgPVs/7KLxZ4wyUxnyctgyUxnycxgyUyMVd826IDdgWMp\nnUi3qwfAFMocPd8DvlCf9y7gAUnTgLdSZtzeFkDSPsDBwK+6XPZueY4yo/g/SjoO2Bi4htL59gBg\nNvBJSdvW528D3OU6uaftV73sRJ+TXTLTWfIyWDLTWTIzWDITY9K3DTrblwM3UmYTnynpBOB8YDXg\nHmBzSdsA11Iu6c+jVDIfrJe0oVz+n2H7vm6XvxtchvmfD7xAGUV1BfA24DHKWfMCymX+UyTdCHwe\nuL0nhe2CZKaz5GWwZKazZGawZCbGSv18JVbSjsAtwHbAucDrlMWcTwb+FtjF9mGS1gY29NIlUaa6\nT9a1k7QO8ASwFbAD5axve8qZ3w9tz6nfz162r+1dSbsjmekseRksmeksmRksmYmx6NsrdAC276Yc\nNJ8HPgo8Q1mweQlwE/CCpM2B+S5LorTm7OmbA8b2S8A3gCtt3wj8HXAHcAhwjKTNbL/cLxVtMtNZ\n8jJYMtNZMjNYMhNj0ddX6AAkrUsZ9r6T7QckvcP2wznTWZakJ4BZtv9TZZ6n3Sl9bRt9+2Moycwb\nS16Wlcy8sWRmWclMjFbfN+gAJJ0OfNj2e4bYl1m0AUkfBS61vWKvy7I8SGY6S14GS2Y6S2YGS2Zi\nNKb2ugDLA9unSpopaX3gxfaDJAdMYfsKSW+pZ87u92HwyUxnyctgyUxnycxgyUyMRq7QRURERExy\nfT0oYiDVxZ0jRiqZidFKZmK0kpkYiVyhi4iIiJjkcoUuIiIiYpJLgy4iIiJikkuDLiIiImKSS4Mu\nIiIiYpJLgy4iGk3SaZKO77D/YElbd7NMERHjLQ26iGi6NxrKfwiwTTcKEhExUTJtSUQ0jqR/AI4A\nngPmAXcD84HPAisCDwOfALYHrqv75gMfopzongtsALwKfMb2g13+CBERo5IGXUQ0iqQdgYuBnYBp\nwD3AecAltl+szzkDeNb2uZIuBq6zfU3ddzNwdF0IfSZwpu19e/FZIiJGKmu5RkTT7AFcY3shsFDS\ndwAB20qaDawFrA7c1PYaAUhaHdgFuEpSa18Wi4+I5V4adBHRNKY20Aa4GDjY9v2SjgT2HvAaKLdb\nX7a9/cQWMSJifGVQREQ0zW3AByWtLGkN4MC6fQ3gGUnTgMNZ2oh7BVgTwPYC4DFJhwKo2K6rpY+I\nGIP0oYuIxpF0MnAkZVDEE5R+dK8CJwLPAz8BVrd9lKRdgQuAhcChlIbeecCGlD54l9ue3fUPEREx\nCmnQRURERExyueUaERERMcmlQRcRERExyaVBFxERETHJpUEXERERMcmlQRcRERExyaVBFxERETHJ\npUEXERERMcmlQRcRERExyf0/lmhEB0LZVjsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10dbc2610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = lern.plot(x='date', figsize=(10.0,10.0), title=\"Software Carpentry Growth\", kind='area', stacked=False, alpha=0.5, color='g')\n",
    "ax2 = ax1.twinx()\n",
    "ax2 = work.plot(x='date', color='r', ax=ax2, kind='area', stacked=False, alpha=0.5)\n",
    "ax2.legend(loc=0)\n",
    "ax1.legend(loc = (0.05,0.9))\n",
    "ax2.legend(loc = (0.5,0.9))\n",
    " \n",
    "for tl in ax1.get_yticklabels():\n",
    "    tl.set_color('g')\n",
    "for tl in ax2.get_yticklabels():\n",
    "    tl.set_color('r')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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uvhm6doXjjvN0XkMeDkmStFNr18Jf/gLjxhmiGuMhkSRJO/Xgg9C9O/TqlXYl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\nBUEQBEEQNMn/A6m0HeBAJr7nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10da17090>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = inst.plot(x='date', figsize=(10.0,10.0), title=\"Software Carpentry Growth\", kind='area', stacked=False, alpha=0.5, color='b')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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m0lMKaCIiItLivfkmxMVBbKzXLWkadXGKiIhIi1RRAfPmweTJztQaDVzxLiS1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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1131549d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = inst.plot(x='date', figsize=(10.0,10.0), title=\"Software Carpentry Growth\", kind='area', stacked=False, alpha=0.5, color='b')\n",
    "ax2 = ax1.twinx()\n",
    "ax2 = work.plot(x='date', color='r', ax=ax2, kind='area', stacked=False, alpha=0.5)\n",
    "ax2.legend(loc=0)\n",
    "ax1.legend(loc = (0.05,0.9))\n",
    "ax2.legend(loc = (0.5,0.9))\n",
    " \n",
    "for tl in ax1.get_yticklabels():\n",
    "    tl.set_color('g')\n",
    "for tl in ax2.get_yticklabels():\n",
    "    tl.set_color('r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PCBJROmwb8sHAjChC2QMzIrIHgyFiYEbU5lhjRkRkDwZmRDGUOXDhFToRkT0Y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\n7VJHOdlyl87h6Ef/RxTeeA1r7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4G3AReTirKvlnk/M5LEGbNhULI+KdwftP1F0g5iH0lH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\nENpEFGYhhBBCCG0iCrMQQgghhDbx/0TRttMa33auAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ceea8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Workshops and learners, discrete\n",
    "#ax1 = full.plot(x='date', y='learners reached', figsize=(10.0,10.0), title=\"Software Carpentry Growth\")\n",
    "ax1 = full.plot(x='date', y='workshop size', figsize=(10.0,10.0), title=\"Software Carpentry Growth\", kind='area', stacked=False, alpha=0.2)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2 = full.plot(x='date', y='workshops run', color='r', ax=ax2, ylim=(0.0,100.0), kind='area', stacked=False, alpha=0.5)\n",
    "#ax2 = full.plot(x='date', y='workshop size', color='g', ax=ax2, ylim=(0.0,100.0))\n",
    "\n",
    "ax2.legend(loc=0)\n",
    "ax1.legend(loc = (0.05,0.95))\n",
    "ax2.legend(loc = (0.7,0.95))\n",
    " \n",
    "for tl in ax1.get_yticklabels():\n",
    "    tl.set_color('b')\n",
    "for tl in ax2.get_yticklabels():\n",
    "    tl.set_color('r')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'Series' object has no attribute 'month'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-306-f42cb359c9b8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_datetime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfull\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'date'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmonth\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/Users/khuff/anaconda/lib/python2.7/site-packages/pandas/core/generic.pyc\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   2148\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2149\u001b[0m             raise AttributeError(\"'%s' object has no attribute '%s'\" %\n\u001b[0;32m-> 2150\u001b[0;31m                                  (type(self).__name__, name))\n\u001b[0m\u001b[1;32m   2151\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2152\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'Series' object has no attribute 'month'"
     ]
    }
   ],
   "source": [
    "pd.to_datetime(full['date'][:]).month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kMks0auO61U3ntSyTePxWgHScMvl8P3fJtPyy3Vk2m8Uwqti23UeaG+t0WiQS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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112f1d150>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Workshops and learners, discrete\n",
    "#ax1 = full.plot(x='date', y='learners reached', figsize=(10.0,10.0), title=\"Software Carpentry Growth\")\n",
    "ax1.clear()\n",
    "ax1 = full.plot(kind='scatter',x='date_int',y='workshops run', s=full['workshop size']*10, figsize=(5.0,5.0), title=\"Software Carpentry Workshop Sizes\", alpha=0.2)\n",
    "ax1.legend(loc = (0.05,0.95))\n",
    "\n",
    "for tl in ax1.get_yticklabels():\n",
    "    tl.set_color('b')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ed5731q1b88MPP5Cenk5oaCgrVqwoNJDbW0ut0khrmDABJk2CqlXvLq3k9GS+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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11302ea10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = inst.plot(x='date')\n",
    "ax2 = ax1.twinx()\n",
    "ax2 = work.plot(x='date', color='g', ax=ax2)\n",
    "ax1.legend(loc = (0.05,0.85))\n",
    "ax2.legend(loc = (0.05,0.7))\n",
    "\n",
    "for tl in ax1.get_yticklabels():\n",
    "    tl.set_color('b')\n",
    "\n",
    "for t2 in ax2.get_yticklabels():\n",
    "    t2.set_color('g')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>cumulative workshops run</th>\n",
       "      <th>cumulative learners reached</th>\n",
       "      <th>learners reached</th>\n",
       "      <th>workshops run</th>\n",
       "      <th>workshop size</th>\n",
       "      <th>date_int</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011-11-07</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>1320624000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012-01-18</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>1326844800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012-02-20</td>\n",
       "      <td>3</td>\n",
       "      <td>86</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>1329696000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012-02-23</td>\n",
       "      <td>4</td>\n",
       "      <td>114</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>1329955200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>5</td>\n",
       "      <td>153</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1331078400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2012-03-26</td>\n",
       "      <td>6</td>\n",
       "      <td>191</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1332720000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2012-03-28</td>\n",
       "      <td>7</td>\n",
       "      <td>226</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>1332892800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2012-04-02</td>\n",
       "      <td>8</td>\n",
       "      <td>261</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>1333324800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2012-04-14</td>\n",
       "      <td>9</td>\n",
       "      <td>293</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>1334361600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2012-04-15</td>\n",
       "      <td>10</td>\n",
       "      <td>302</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1334448000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2012-04-30</td>\n",
       "      <td>11</td>\n",
       "      <td>346</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>1335744000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2012-05-07</td>\n",
       "      <td>12</td>\n",
       "      <td>401</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>1336348800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2012-05-14</td>\n",
       "      <td>13</td>\n",
       "      <td>442</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1336953600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2012-05-16</td>\n",
       "      <td>14</td>\n",
       "      <td>480</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1337126400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2012-05-22</td>\n",
       "      <td>15</td>\n",
       "      <td>519</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1337644800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2012-06-18</td>\n",
       "      <td>16</td>\n",
       "      <td>539</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1339977600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2012-06-28</td>\n",
       "      <td>17</td>\n",
       "      <td>567</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>1340841600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2012-07-09</td>\n",
       "      <td>18</td>\n",
       "      <td>603</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>1341792000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2012-07-10</td>\n",
       "      <td>19</td>\n",
       "      <td>627</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>1341878400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2012-07-12</td>\n",
       "      <td>20</td>\n",
       "      <td>667</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>1342051200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>21</td>\n",
       "      <td>707</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>1342396800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2012-07-19</td>\n",
       "      <td>22</td>\n",
       "      <td>746</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1342656000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2012-08-26</td>\n",
       "      <td>23</td>\n",
       "      <td>766</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1345939200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2012-09-13</td>\n",
       "      <td>24</td>\n",
       "      <td>799</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>1347494400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2012-09-17</td>\n",
       "      <td>25</td>\n",
       "      <td>833</td>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>1347840000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2012-09-28</td>\n",
       "      <td>26</td>\n",
       "      <td>872</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1348790400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2012-10-08</td>\n",
       "      <td>27</td>\n",
       "      <td>914</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>1349654400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2012-10-11</td>\n",
       "      <td>28</td>\n",
       "      <td>939</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>1349913600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2012-10-17</td>\n",
       "      <td>29</td>\n",
       "      <td>979</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>1350432000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2012-10-18</td>\n",
       "      <td>30</td>\n",
       "      <td>1041</td>\n",
       "      <td>62</td>\n",
       "      <td>1</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>1350518400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2015-08-17</td>\n",
       "      <td>450</td>\n",
       "      <td>14926</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>1439769600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2015-08-20</td>\n",
       "      <td>454</td>\n",
       "      <td>15017</td>\n",
       "      <td>91</td>\n",
       "      <td>4</td>\n",
       "      <td>22.750000</td>\n",
       "      <td>1440028800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2015-08-21</td>\n",
       "      <td>455</td>\n",
       "      <td>15063</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>1440115200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2015-08-24</td>\n",
       "      <td>459</td>\n",
       "      <td>15184</td>\n",
       "      <td>121</td>\n",
       "      <td>4</td>\n",
       "      <td>30.250000</td>\n",
       "      <td>1440374400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2015-08-26</td>\n",
       "      <td>462</td>\n",
       "      <td>15258</td>\n",
       "      <td>74</td>\n",
       "      <td>3</td>\n",
       "      <td>24.666667</td>\n",
       "      <td>1440547200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2015-08-27</td>\n",
       "      <td>464</td>\n",
       "      <td>15318</td>\n",
       "      <td>60</td>\n",
       "      <td>2</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>1440633600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2015-09-03</td>\n",
       "      <td>465</td>\n",
       "      <td>15355</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>1441238400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2015-09-06</td>\n",
       "      <td>466</td>\n",
       "      <td>15380</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>1441497600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2015-09-07</td>\n",
       "      <td>468</td>\n",
       "      <td>15409</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>14.500000</td>\n",
       "      <td>1441584000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2015-09-08</td>\n",
       "      <td>470</td>\n",
       "      <td>15435</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>1441670400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2015-09-10</td>\n",
       "      <td>474</td>\n",
       "      <td>15585</td>\n",
       "      <td>150</td>\n",
       "      <td>4</td>\n",
       "      <td>37.500000</td>\n",
       "      <td>1441843200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2015-09-14</td>\n",
       "      <td>475</td>\n",
       "      <td>15603</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>1442188800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2015-09-15</td>\n",
       "      <td>477</td>\n",
       "      <td>15650</td>\n",
       "      <td>47</td>\n",
       "      <td>2</td>\n",
       "      <td>23.500000</td>\n",
       "      <td>1442275200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>480</td>\n",
       "      <td>15713</td>\n",
       "      <td>63</td>\n",
       "      <td>3</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1442448000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2015-09-19</td>\n",
       "      <td>481</td>\n",
       "      <td>15788</td>\n",
       "      <td>75</td>\n",
       "      <td>1</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>1442620800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2015-09-22</td>\n",
       "      <td>482</td>\n",
       "      <td>15799</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1442880000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>2015-09-23</td>\n",
       "      <td>483</td>\n",
       "      <td>15800</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1442966400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>2015-09-24</td>\n",
       "      <td>485</td>\n",
       "      <td>15843</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>1443052800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>2015-09-26</td>\n",
       "      <td>486</td>\n",
       "      <td>15918</td>\n",
       "      <td>75</td>\n",
       "      <td>1</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>1443225600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2015-09-28</td>\n",
       "      <td>490</td>\n",
       "      <td>16021</td>\n",
       "      <td>103</td>\n",
       "      <td>4</td>\n",
       "      <td>25.750000</td>\n",
       "      <td>1443398400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>492</td>\n",
       "      <td>16021</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1443657600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2015-10-03</td>\n",
       "      <td>495</td>\n",
       "      <td>16025</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1443830400000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2015-10-05</td>\n",
       "      <td>496</td>\n",
       "      <td>16062</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>1444003200000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>2015-10-06</td>\n",
       "      <td>497</td>\n",
       "      <td>16074</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1444089600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2015-10-07</td>\n",
       "      <td>498</td>\n",
       "      <td>16074</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1444176000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>2015-10-12</td>\n",
       "      <td>500</td>\n",
       "      <td>16092</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1444608000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>2015-10-17</td>\n",
       "      <td>503</td>\n",
       "      <td>16130</td>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "      <td>12.666667</td>\n",
       "      <td>1445040000000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>2015-10-19</td>\n",
       "      <td>507</td>\n",
       "      <td>16130</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1445212800000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>2015-10-21</td>\n",
       "      <td>508</td>\n",
       "      <td>16130</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1445385600000000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>2015-10-22</td>\n",
       "      <td>509</td>\n",
       "      <td>16130</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1445472000000000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>361 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          date  cumulative workshops run  cumulative learners reached  \\\n",
       "0   2011-11-07                         1                           22   \n",
       "1   2012-01-18                         2                           36   \n",
       "2   2012-02-20                         3                           86   \n",
       "3   2012-02-23                         4                          114   \n",
       "4   2012-03-07                         5                          153   \n",
       "5   2012-03-26                         6                          191   \n",
       "6   2012-03-28                         7                          226   \n",
       "7   2012-04-02                         8                          261   \n",
       "8   2012-04-14                         9                          293   \n",
       "9   2012-04-15                        10                          302   \n",
       "10  2012-04-30                        11                          346   \n",
       "11  2012-05-07                        12                          401   \n",
       "12  2012-05-14                        13                          442   \n",
       "13  2012-05-16                        14                          480   \n",
       "14  2012-05-22                        15                          519   \n",
       "15  2012-06-18                        16                          539   \n",
       "16  2012-06-28                        17                          567   \n",
       "17  2012-07-09                        18                          603   \n",
       "18  2012-07-10                        19                          627   \n",
       "19  2012-07-12                        20                          667   \n",
       "20  2012-07-16                        21                          707   \n",
       "21  2012-07-19                        22                          746   \n",
       "22  2012-08-26                        23                          766   \n",
       "23  2012-09-13                        24                          799   \n",
       "24  2012-09-17                        25                          833   \n",
       "25  2012-09-28                        26                          872   \n",
       "26  2012-10-08                        27                          914   \n",
       "27  2012-10-11                        28                          939   \n",
       "28  2012-10-17                        29                          979   \n",
       "29  2012-10-18                        30                         1041   \n",
       "..         ...                       ...                          ...   \n",
       "331 2015-08-17                       450                        14926   \n",
       "332 2015-08-20                       454                        15017   \n",
       "333 2015-08-21                       455                        15063   \n",
       "334 2015-08-24                       459                        15184   \n",
       "335 2015-08-26                       462                        15258   \n",
       "336 2015-08-27                       464                        15318   \n",
       "337 2015-09-03                       465                        15355   \n",
       "338 2015-09-06                       466                        15380   \n",
       "339 2015-09-07                       468                        15409   \n",
       "340 2015-09-08                       470                        15435   \n",
       "341 2015-09-10                       474                        15585   \n",
       "342 2015-09-14                       475                        15603   \n",
       "343 2015-09-15                       477                        15650   \n",
       "344 2015-09-17                       480                        15713   \n",
       "345 2015-09-19                       481                        15788   \n",
       "346 2015-09-22                       482                        15799   \n",
       "347 2015-09-23                       483                        15800   \n",
       "348 2015-09-24                       485                        15843   \n",
       "349 2015-09-26                       486                        15918   \n",
       "350 2015-09-28                       490                        16021   \n",
       "351 2015-10-01                       492                        16021   \n",
       "352 2015-10-03                       495                        16025   \n",
       "353 2015-10-05                       496                        16062   \n",
       "354 2015-10-06                       497                        16074   \n",
       "355 2015-10-07                       498                        16074   \n",
       "356 2015-10-12                       500                        16092   \n",
       "357 2015-10-17                       503                        16130   \n",
       "358 2015-10-19                       507                        16130   \n",
       "359 2015-10-21                       508                        16130   \n",
       "360 2015-10-22                       509                        16130   \n",
       "\n",
       "     learners reached  workshops run  workshop size             date_int  \n",
       "0                  22              1      22.000000  1320624000000000000  \n",
       "1                  14              1      14.000000  1326844800000000000  \n",
       "2                  50              1      50.000000  1329696000000000000  \n",
       "3                  28              1      28.000000  1329955200000000000  \n",
       "4                  39              1      39.000000  1331078400000000000  \n",
       "5                  38              1      38.000000  1332720000000000000  \n",
       "6                  35              1      35.000000  1332892800000000000  \n",
       "7                  35              1      35.000000  1333324800000000000  \n",
       "8                  32              1      32.000000  1334361600000000000  \n",
       "9                   9              1       9.000000  1334448000000000000  \n",
       "10                 44              1      44.000000  1335744000000000000  \n",
       "11                 55              1      55.000000  1336348800000000000  \n",
       "12                 41              1      41.000000  1336953600000000000  \n",
       "13                 38              1      38.000000  1337126400000000000  \n",
       "14                 39              1      39.000000  1337644800000000000  \n",
       "15                 20              1      20.000000  1339977600000000000  \n",
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       "\n",
       "[361 rows x 7 columns]"
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     },
     "execution_count": 335,
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