plots.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['figure.figsize'] = (15, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For our study we formed two data frames. The first one is <b>persons.csv</b>, which contains data about articles on persons created on wikipedia from 2003 to 2013 (other years have rather insufficient data in order to be taken into consideration). The original datadump didn't contain the article's unique ID or its creation date and since we needed these attributes for our research we decided to crawl all the records in order to add them. There was another approach to this end, namely to collect various wikipedia datadumps where we could find such attributes but despite our efforts we weren't able to get anything useful, which is why we went for the crawling approach. The second one is <b>nominated.csv</b>, which contains data about articles on persons which were nominated for deletion in wikipedia but which weren't deleted. This dataset spans from 2005-2013. We decided not to crawl 2003 and 2004 because there were insufficient data on these years (the idea of nomination for deletion started on 2003). <br>\n",
    "Thus our research investigates years 2005-2013."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working on data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>uri</th>\n",
       "      <th>gender</th>\n",
       "      <th>Id</th>\n",
       "      <th>CreationDate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>742988</th>\n",
       "      <td>http://dbpedia.org/resource/Craig_Cliff</td>\n",
       "      <td>male</td>\n",
       "      <td>31736648</td>\n",
       "      <td>May 2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117803</th>\n",
       "      <td>http://dbpedia.org/resource/Noel_Thompson</td>\n",
       "      <td>male</td>\n",
       "      <td>2259746</td>\n",
       "      <td>July 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376225</th>\n",
       "      <td>http://dbpedia.org/resource/Walter_C._Taylor</td>\n",
       "      <td>male</td>\n",
       "      <td>11920645</td>\n",
       "      <td>June 2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>606989</th>\n",
       "      <td>http://dbpedia.org/resource/James_O'Reilly_(bi...</td>\n",
       "      <td>male</td>\n",
       "      <td>24250006</td>\n",
       "      <td>September 2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>791024</th>\n",
       "      <td>http://dbpedia.org/resource/Chang_Tae-Suk</td>\n",
       "      <td>male</td>\n",
       "      <td>34205249</td>\n",
       "      <td>May 2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325484</th>\n",
       "      <td>http://dbpedia.org/resource/Claude_Renoir</td>\n",
       "      <td>male</td>\n",
       "      <td>9513714</td>\n",
       "      <td>February 2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350563</th>\n",
       "      <td>http://dbpedia.org/resource/Charles_Turner_(mu...</td>\n",
       "      <td>male</td>\n",
       "      <td>10640993</td>\n",
       "      <td>April 2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692697</th>\n",
       "      <td>http://dbpedia.org/resource/David_Siegmund</td>\n",
       "      <td>male</td>\n",
       "      <td>28862740</td>\n",
       "      <td>September 2010</td>\n",
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       "    <tr>\n",
       "      <th>640255</th>\n",
       "      <td>http://dbpedia.org/resource/Mark_Keam</td>\n",
       "      <td>male</td>\n",
       "      <td>25934047</td>\n",
       "      <td>January 2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442684</th>\n",
       "      <td>http://dbpedia.org/resource/Clyda_Stokes_Rent</td>\n",
       "      <td>female</td>\n",
       "      <td>14863799</td>\n",
       "      <td>December 2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478870</th>\n",
       "      <td>http://dbpedia.org/resource/Stephen,_Duke_of_S...</td>\n",
       "      <td>male</td>\n",
       "      <td>17657832</td>\n",
       "      <td>November 2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41717</th>\n",
       "      <td>http://dbpedia.org/resource/Elizabeth_Eckford</td>\n",
       "      <td>female</td>\n",
       "      <td>661091</td>\n",
       "      <td>May 2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508536</th>\n",
       "      <td>http://dbpedia.org/resource/Oleh_Yermak</td>\n",
       "      <td>male</td>\n",
       "      <td>18818866</td>\n",
       "      <td>August 2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612174</th>\n",
       "      <td>http://dbpedia.org/resource/Nicholas_Guidi</td>\n",
       "      <td>male</td>\n",
       "      <td>24176097</td>\n",
       "      <td>August 2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148456</th>\n",
       "      <td>http://dbpedia.org/resource/Corey_Ivy</td>\n",
       "      <td>male</td>\n",
       "      <td>2931488</td>\n",
       "      <td>October 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167308</th>\n",
       "      <td>http://dbpedia.org/resource/Atang_de_la_Rama</td>\n",
       "      <td>female</td>\n",
       "      <td>3578036</td>\n",
       "      <td>December 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305843</th>\n",
       "      <td>http://dbpedia.org/resource/Ned_Christie</td>\n",
       "      <td>male</td>\n",
       "      <td>8590200</td>\n",
       "      <td>December 2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>638849</th>\n",
       "      <td>http://dbpedia.org/resource/Fritz_Dreisbach</td>\n",
       "      <td>male</td>\n",
       "      <td>25817106</td>\n",
       "      <td>January 2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557731</th>\n",
       "      <td>http://dbpedia.org/resource/Bill_Milner</td>\n",
       "      <td>male</td>\n",
       "      <td>21752046</td>\n",
       "      <td>March 2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328371</th>\n",
       "      <td>http://dbpedia.org/resource/William_Whitehead_...</td>\n",
       "      <td>male</td>\n",
       "      <td>9444883</td>\n",
       "      <td>August 2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279363</th>\n",
       "      <td>http://dbpedia.org/resource/Issa_Hassan</td>\n",
       "      <td>male</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309459</th>\n",
       "      <td>http://dbpedia.org/resource/Robert_Ernest_Chee...</td>\n",
       "      <td>male</td>\n",
       "      <td>8642011</td>\n",
       "      <td>December 2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411426</th>\n",
       "      <td>http://dbpedia.org/resource/Katharina_Szelinsk...</td>\n",
       "      <td>female</td>\n",
       "      <td>13374554</td>\n",
       "      <td>September 2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497874</th>\n",
       "      <td>http://dbpedia.org/resource/Roy_Partee</td>\n",
       "      <td>male</td>\n",
       "      <td>18208250</td>\n",
       "      <td>June 2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28671</th>\n",
       "      <td>http://dbpedia.org/resource/Sir_James_Graham,_...</td>\n",
       "      <td>male</td>\n",
       "      <td>447064</td>\n",
       "      <td>January 2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>756957</th>\n",
       "      <td>http://dbpedia.org/resource/Mamunul_Islam</td>\n",
       "      <td>male</td>\n",
       "      <td>32366783</td>\n",
       "      <td>July 2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417377</th>\n",
       "      <td>http://dbpedia.org/resource/Jackson_Sundown</td>\n",
       "      <td>male</td>\n",
       "      <td>14002363</td>\n",
       "      <td>October 2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>841638</th>\n",
       "      <td>http://dbpedia.org/resource/Rutger_de_Regt</td>\n",
       "      <td>male</td>\n",
       "      <td>37781765</td>\n",
       "      <td>November 2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223911</th>\n",
       "      <td>http://dbpedia.org/resource/Peter_Jenkins_(jou...</td>\n",
       "      <td>male</td>\n",
       "      <td>5323461</td>\n",
       "      <td>May 2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685191</th>\n",
       "      <td>http://dbpedia.org/resource/Kim_Youn-ho</td>\n",
       "      <td>male</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108684</th>\n",
       "      <td>http://dbpedia.org/resource/Agnes_of_France,_B...</td>\n",
       "      <td>female</td>\n",
       "      <td>1845031</td>\n",
       "      <td>May 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33812</th>\n",
       "      <td>http://dbpedia.org/resource/Guru_Har_Rai</td>\n",
       "      <td>male</td>\n",
       "      <td>545777</td>\n",
       "      <td>March 2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>795349</th>\n",
       "      <td>http://dbpedia.org/resource/Ali_Rahma_Al_Marri</td>\n",
       "      <td>male</td>\n",
       "      <td>34681515</td>\n",
       "      <td>September 2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21408</th>\n",
       "      <td>http://dbpedia.org/resource/John_Swinney</td>\n",
       "      <td>male</td>\n",
       "      <td>236940</td>\n",
       "      <td>May 2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251231</th>\n",
       "      <td>http://dbpedia.org/resource/Hatten_Yoder</td>\n",
       "      <td>male</td>\n",
       "      <td>6270839</td>\n",
       "      <td>August 2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148084</th>\n",
       "      <td>http://dbpedia.org/resource/Keone_Young</td>\n",
       "      <td>male</td>\n",
       "      <td>3018435</td>\n",
       "      <td>October 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38587</th>\n",
       "      <td>http://dbpedia.org/resource/Hiroki_Kikuta</td>\n",
       "      <td>male</td>\n",
       "      <td>657361</td>\n",
       "      <td>May 2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623811</th>\n",
       "      <td>http://dbpedia.org/resource/James_Finnegan_(si...</td>\n",
       "      <td>male</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447106</th>\n",
       "      <td>http://dbpedia.org/resource/Zed_Al_Refai</td>\n",
       "      <td>male</td>\n",
       "      <td>15566350</td>\n",
       "      <td>February 2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165957</th>\n",
       "      <td>http://dbpedia.org/resource/Marvin_Traub</td>\n",
       "      <td>male</td>\n",
       "      <td>3240837</td>\n",
       "      <td>November 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206179</th>\n",
       "      <td>http://dbpedia.org/resource/Salim_Iles</td>\n",
       "      <td>male</td>\n",
       "      <td>4671195</td>\n",
       "      <td>April 2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691724</th>\n",
       "      <td>http://dbpedia.org/resource/John_III_of_Egmont</td>\n",
       "      <td>male</td>\n",
       "      <td>28623727</td>\n",
       "      <td>August 2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97525</th>\n",
       "      <td>http://dbpedia.org/resource/Miles_Hunt</td>\n",
       "      <td>male</td>\n",
       "      <td>1709270</td>\n",
       "      <td>April 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>843008</th>\n",
       "      <td>http://dbpedia.org/resource/Mason_Vaugh</td>\n",
       "      <td>male</td>\n",
       "      <td>37724051</td>\n",
       "      <td>November 2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257551</th>\n",
       "      <td>http://dbpedia.org/resource/Malik_Zulu_Shabazz</td>\n",
       "      <td>male</td>\n",
       "      <td>6492703</td>\n",
       "      <td>August 2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>841567</th>\n",
       "      <td>http://dbpedia.org/resource/Fred_Vogel</td>\n",
       "      <td>male</td>\n",
       "      <td>37508834</td>\n",
       "      <td>October 2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100936</th>\n",
       "      <td>http://dbpedia.org/resource/Dylan_Horrocks</td>\n",
       "      <td>male</td>\n",
       "      <td>1827930</td>\n",
       "      <td>May 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16712</th>\n",
       "      <td>http://dbpedia.org/resource/Mary_Harney</td>\n",
       "      <td>female</td>\n",
       "      <td>264120</td>\n",
       "      <td>July 2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128543</th>\n",
       "      <td>http://dbpedia.org/resource/Jes%C3%BAs_Ochoa</td>\n",
       "      <td>male</td>\n",
       "      <td>43090951</td>\n",
       "      <td>June 2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>829437</th>\n",
       "      <td>http://dbpedia.org/resource/Alex_Haas</td>\n",
       "      <td>male</td>\n",
       "      <td>36673079</td>\n",
       "      <td>August 2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540181</th>\n",
       "      <td>http://dbpedia.org/resource/Rimvydas_Valatka</td>\n",
       "      <td>male</td>\n",
       "      <td>20663595</td>\n",
       "      <td>December 2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672446</th>\n",
       "      <td>http://dbpedia.org/resource/Nicolas_Perrenot_d...</td>\n",
       "      <td>male</td>\n",
       "      <td>27608532</td>\n",
       "      <td>June 2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767429</th>\n",
       "      <td>http://dbpedia.org/resource/Domingo_Drummond</td>\n",
       "      <td>male</td>\n",
       "      <td>32976657</td>\n",
       "      <td>September 2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350490</th>\n",
       "      <td>http://dbpedia.org/resource/Enver_Hadri</td>\n",
       "      <td>male</td>\n",
       "      <td>10535923</td>\n",
       "      <td>April 2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589575</th>\n",
       "      <td>http://dbpedia.org/resource/Euvin_Naidoo</td>\n",
       "      <td>male</td>\n",
       "      <td>23123012</td>\n",
       "      <td>June 2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391930</th>\n",
       "      <td>http://dbpedia.org/resource/James_William_Fres...</td>\n",
       "      <td>male</td>\n",
       "      <td>12668684</td>\n",
       "      <td>August 2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473324</th>\n",
       "      <td>http://dbpedia.org/resource/Vikenty_Pashukanis</td>\n",
       "      <td>male</td>\n",
       "      <td>17211099</td>\n",
       "      <td>May 2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>545644</th>\n",
       "      <td>http://dbpedia.org/resource/S%C3%A9bastien_Tru...</td>\n",
       "      <td>male</td>\n",
       "      <td>21011370</td>\n",
       "      <td>January 2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>819146</th>\n",
       "      <td>http://dbpedia.org/resource/Richard_Ball_(Aust...</td>\n",
       "      <td>male</td>\n",
       "      <td>36096614</td>\n",
       "      <td>June 2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25019</th>\n",
       "      <td>http://dbpedia.org/resource/Caroline_Quentin</td>\n",
       "      <td>female</td>\n",
       "      <td>382717</td>\n",
       "      <td>November 2003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                      uri  gender        Id  \\\n",
       "742988            http://dbpedia.org/resource/Craig_Cliff    male  31736648   \n",
       "117803          http://dbpedia.org/resource/Noel_Thompson    male   2259746   \n",
       "376225       http://dbpedia.org/resource/Walter_C._Taylor    male  11920645   \n",
       "606989  http://dbpedia.org/resource/James_O'Reilly_(bi...    male  24250006   \n",
       "791024          http://dbpedia.org/resource/Chang_Tae-Suk    male  34205249   \n",
       "325484          http://dbpedia.org/resource/Claude_Renoir    male   9513714   \n",
       "350563  http://dbpedia.org/resource/Charles_Turner_(mu...    male  10640993   \n",
       "692697         http://dbpedia.org/resource/David_Siegmund    male  28862740   \n",
       "640255              http://dbpedia.org/resource/Mark_Keam    male  25934047   \n",
       "442684      http://dbpedia.org/resource/Clyda_Stokes_Rent  female  14863799   \n",
       "478870  http://dbpedia.org/resource/Stephen,_Duke_of_S...    male  17657832   \n",
       "41717       http://dbpedia.org/resource/Elizabeth_Eckford  female    661091   \n",
       "508536            http://dbpedia.org/resource/Oleh_Yermak    male  18818866   \n",
       "612174         http://dbpedia.org/resource/Nicholas_Guidi    male  24176097   \n",
       "148456              http://dbpedia.org/resource/Corey_Ivy    male   2931488   \n",
       "167308       http://dbpedia.org/resource/Atang_de_la_Rama  female   3578036   \n",
       "305843           http://dbpedia.org/resource/Ned_Christie    male   8590200   \n",
       "638849        http://dbpedia.org/resource/Fritz_Dreisbach    male  25817106   \n",
       "557731            http://dbpedia.org/resource/Bill_Milner    male  21752046   \n",
       "328371  http://dbpedia.org/resource/William_Whitehead_...    male   9444883   \n",
       "279363            http://dbpedia.org/resource/Issa_Hassan    male             \n",
       "309459  http://dbpedia.org/resource/Robert_Ernest_Chee...    male   8642011   \n",
       "411426  http://dbpedia.org/resource/Katharina_Szelinsk...  female  13374554   \n",
       "497874             http://dbpedia.org/resource/Roy_Partee    male  18208250   \n",
       "28671   http://dbpedia.org/resource/Sir_James_Graham,_...    male    447064   \n",
       "756957          http://dbpedia.org/resource/Mamunul_Islam    male  32366783   \n",
       "417377        http://dbpedia.org/resource/Jackson_Sundown    male  14002363   \n",
       "841638         http://dbpedia.org/resource/Rutger_de_Regt    male  37781765   \n",
       "223911  http://dbpedia.org/resource/Peter_Jenkins_(jou...    male   5323461   \n",
       "685191            http://dbpedia.org/resource/Kim_Youn-ho    male             \n",
       "...                                                   ...     ...       ...   \n",
       "108684  http://dbpedia.org/resource/Agnes_of_France,_B...  female   1845031   \n",
       "33812            http://dbpedia.org/resource/Guru_Har_Rai    male    545777   \n",
       "795349     http://dbpedia.org/resource/Ali_Rahma_Al_Marri    male  34681515   \n",
       "21408            http://dbpedia.org/resource/John_Swinney    male    236940   \n",
       "251231           http://dbpedia.org/resource/Hatten_Yoder    male   6270839   \n",
       "148084            http://dbpedia.org/resource/Keone_Young    male   3018435   \n",
       "38587           http://dbpedia.org/resource/Hiroki_Kikuta    male    657361   \n",
       "623811  http://dbpedia.org/resource/James_Finnegan_(si...    male             \n",
       "447106           http://dbpedia.org/resource/Zed_Al_Refai    male  15566350   \n",
       "165957           http://dbpedia.org/resource/Marvin_Traub    male   3240837   \n",
       "206179             http://dbpedia.org/resource/Salim_Iles    male   4671195   \n",
       "691724     http://dbpedia.org/resource/John_III_of_Egmont    male  28623727   \n",
       "97525              http://dbpedia.org/resource/Miles_Hunt    male   1709270   \n",
       "843008            http://dbpedia.org/resource/Mason_Vaugh    male  37724051   \n",
       "257551     http://dbpedia.org/resource/Malik_Zulu_Shabazz    male   6492703   \n",
       "841567             http://dbpedia.org/resource/Fred_Vogel    male  37508834   \n",
       "100936         http://dbpedia.org/resource/Dylan_Horrocks    male   1827930   \n",
       "16712             http://dbpedia.org/resource/Mary_Harney  female    264120   \n",
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       "829437              http://dbpedia.org/resource/Alex_Haas    male  36673079   \n",
       "540181       http://dbpedia.org/resource/Rimvydas_Valatka    male  20663595   \n",
       "672446  http://dbpedia.org/resource/Nicolas_Perrenot_d...    male  27608532   \n",
       "767429       http://dbpedia.org/resource/Domingo_Drummond    male  32976657   \n",
       "350490            http://dbpedia.org/resource/Enver_Hadri    male  10535923   \n",
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       "545644  http://dbpedia.org/resource/S%C3%A9bastien_Tru...    male  21011370   \n",
       "819146  http://dbpedia.org/resource/Richard_Ball_(Aust...    male  36096614   \n",
       "25019        http://dbpedia.org/resource/Caroline_Quentin  female    382717   \n",
       "\n",
       "          CreationDate  \n",
       "742988        May 2011  \n",
       "117803       July 2005  \n",
       "376225       June 2007  \n",
       "606989  September 2009  \n",
       "791024        May 2014  \n",
       "325484   February 2007  \n",
       "350563      April 2007  \n",
       "692697  September 2010  \n",
       "640255    January 2010  \n",
       "442684   December 2007  \n",
       "478870   November 2017  \n",
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       "508536     August 2008  \n",
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       "167308   December 2005  \n",
       "305843   December 2006  \n",
       "638849    January 2010  \n",
       "557731      March 2009  \n",
       "328371     August 2015  \n",
       "279363                  \n",
       "309459   December 2006  \n",
       "411426  September 2007  \n",
       "497874       June 2008  \n",
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       "417377    October 2007  \n",
       "841638   November 2012  \n",
       "223911        May 2006  \n",
       "685191                  \n",
       "...                ...  \n",
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       "33812       March 2004  \n",
       "795349  September 2015  \n",
       "21408         May 2003  \n",
       "251231     August 2006  \n",
       "148084    October 2005  \n",
       "38587         May 2004  \n",
       "623811                  \n",
       "447106   February 2008  \n",
       "165957   November 2005  \n",
       "206179      April 2006  \n",
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       "97525       April 2005  \n",
       "843008   November 2012  \n",
       "257551     August 2006  \n",
       "841567    October 2012  \n",
       "100936        May 2005  \n",
       "16712        July 2003  \n",
       "128543       June 2014  \n",
       "829437     August 2012  \n",
       "540181   December 2008  \n",
       "672446       June 2010  \n",
       "767429  September 2011  \n",
       "350490      April 2007  \n",
       "589575       June 2009  \n",
       "391930     August 2007  \n",
       "473324        May 2008  \n",
       "545644    January 2009  \n",
       "819146       June 2012  \n",
       "25019    November 2003  \n",
       "\n",
       "[100 rows x 4 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "person = pd.read_csv('persons.csv')\n",
    "person.sample(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Tile</th>\n",
       "      <th>Id</th>\n",
       "      <th>Gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16258</th>\n",
       "      <td>2009</td>\n",
       "      <td>March</td>\n",
       "      <td>Zhang Jun (Economist)</td>\n",
       "      <td>21957407</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2688</th>\n",
       "      <td>2006</td>\n",
       "      <td>November</td>\n",
       "      <td>Michael Love</td>\n",
       "      <td>5075291</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21931</th>\n",
       "      <td>2011</td>\n",
       "      <td>July</td>\n",
       "      <td>Yasuhito Namekawa</td>\n",
       "      <td>32455259</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25239</th>\n",
       "      <td>2012</td>\n",
       "      <td>May</td>\n",
       "      <td>Deepak Shimkhada</td>\n",
       "      <td>44685353</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24541</th>\n",
       "      <td>2012</td>\n",
       "      <td>September</td>\n",
       "      <td>Alok Ulfat</td>\n",
       "      <td>49730590</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891</th>\n",
       "      <td>2005</td>\n",
       "      <td>February</td>\n",
       "      <td>Anil Kakodkar</td>\n",
       "      <td>1446163</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4112</th>\n",
       "      <td>2006</td>\n",
       "      <td>June</td>\n",
       "      <td>Charles Jay</td>\n",
       "      <td>5313787</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10984</th>\n",
       "      <td>2008</td>\n",
       "      <td>July</td>\n",
       "      <td>Mike Daly</td>\n",
       "      <td>3071713</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5848</th>\n",
       "      <td>2007</td>\n",
       "      <td>December</td>\n",
       "      <td>Stanley Graze</td>\n",
       "      <td>14671269</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23959</th>\n",
       "      <td>2012</td>\n",
       "      <td>November</td>\n",
       "      <td>Mary Elizabeth Butt</td>\n",
       "      <td>37478584</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14745</th>\n",
       "      <td>2009</td>\n",
       "      <td>July</td>\n",
       "      <td>Sam Deering</td>\n",
       "      <td>28309458</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7121</th>\n",
       "      <td>2007</td>\n",
       "      <td>July</td>\n",
       "      <td>Ralph Staub</td>\n",
       "      <td>6832214</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19018</th>\n",
       "      <td>2010</td>\n",
       "      <td>May</td>\n",
       "      <td>Nick Robinson (origami)</td>\n",
       "      <td>2407696</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15657</th>\n",
       "      <td>2009</td>\n",
       "      <td>May</td>\n",
       "      <td>Fred Martinez</td>\n",
       "      <td>43471609</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16484</th>\n",
       "      <td>2009</td>\n",
       "      <td>February</td>\n",
       "      <td>Chris Gardner (curler)</td>\n",
       "      <td>21602458</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15675</th>\n",
       "      <td>2009</td>\n",
       "      <td>May</td>\n",
       "      <td>Edward Wharton-Tigar</td>\n",
       "      <td>22532696</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19820</th>\n",
       "      <td>2010</td>\n",
       "      <td>February</td>\n",
       "      <td>James Rice (cricketer)</td>\n",
       "      <td>19263158</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>2005</td>\n",
       "      <td>October</td>\n",
       "      <td>Christine Reagan</td>\n",
       "      <td>183753</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9149</th>\n",
       "      <td>2007</td>\n",
       "      <td>January</td>\n",
       "      <td>Steve Hayward</td>\n",
       "      <td>18340630</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>Tiana Benjamin</td>\n",
       "      <td>2294288</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12603</th>\n",
       "      <td>2008</td>\n",
       "      <td>February</td>\n",
       "      <td>Natalee Holloway</td>\n",
       "      <td>4779630</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9574</th>\n",
       "      <td>2008</td>\n",
       "      <td>December</td>\n",
       "      <td>Circle of life camp</td>\n",
       "      <td>287316</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13191</th>\n",
       "      <td>2008</td>\n",
       "      <td>January</td>\n",
       "      <td>Abdullah bin Mohammad Al Hokail (banker)</td>\n",
       "      <td>3954759</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16406</th>\n",
       "      <td>2009</td>\n",
       "      <td>February</td>\n",
       "      <td>Elizabeth Hay, Countess of Erroll</td>\n",
       "      <td>21570386</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6054</th>\n",
       "      <td>2007</td>\n",
       "      <td>November</td>\n",
       "      <td>Koby</td>\n",
       "      <td>20031194</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15648</th>\n",
       "      <td>2009</td>\n",
       "      <td>May</td>\n",
       "      <td>Vikash Maharaj</td>\n",
       "      <td>22696668</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28847</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>Eric Everard</td>\n",
       "      <td>22976774</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>2005</td>\n",
       "      <td>January</td>\n",
       "      <td>Pat Garrity</td>\n",
       "      <td>1060879</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8659</th>\n",
       "      <td>2007</td>\n",
       "      <td>March</td>\n",
       "      <td>Dwight Gustafson</td>\n",
       "      <td>5885117</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9810</th>\n",
       "      <td>2008</td>\n",
       "      <td>November</td>\n",
       "      <td>Academy of Shotokan Karate</td>\n",
       "      <td>7966019</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21842</th>\n",
       "      <td>2011</td>\n",
       "      <td>July</td>\n",
       "      <td>Inside-AOL.com</td>\n",
       "      <td>3003</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18313</th>\n",
       "      <td>2010</td>\n",
       "      <td>August</td>\n",
       "      <td>Safwat Ghayur</td>\n",
       "      <td>28259454</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14828</th>\n",
       "      <td>2009</td>\n",
       "      <td>July</td>\n",
       "      <td>Shona Holmes</td>\n",
       "      <td>23693588</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27760</th>\n",
       "      <td>2013</td>\n",
       "      <td>June</td>\n",
       "      <td>Nandini Sahu</td>\n",
       "      <td>36944492</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19356</th>\n",
       "      <td>2010</td>\n",
       "      <td>April</td>\n",
       "      <td>Ruchir Punjabi</td>\n",
       "      <td>49075950</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9907</th>\n",
       "      <td>2008</td>\n",
       "      <td>November</td>\n",
       "      <td>Jonathan Plowman Jr.</td>\n",
       "      <td>8783995</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7141</th>\n",
       "      <td>2007</td>\n",
       "      <td>July</td>\n",
       "      <td>Simon Fieldhouse</td>\n",
       "      <td>2858359</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6138</th>\n",
       "      <td>2007</td>\n",
       "      <td>November</td>\n",
       "      <td>Rincewind</td>\n",
       "      <td>398878</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26068</th>\n",
       "      <td>2012</td>\n",
       "      <td>February</td>\n",
       "      <td>Craig Seymour</td>\n",
       "      <td>22356292</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20216</th>\n",
       "      <td>2010</td>\n",
       "      <td>January</td>\n",
       "      <td>Sitti Navarro</td>\n",
       "      <td>6226824</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28917</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>Gyula Juhász (historian)</td>\n",
       "      <td>14538072</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21766</th>\n",
       "      <td>2011</td>\n",
       "      <td>July</td>\n",
       "      <td>Sreelakshmi Suresh</td>\n",
       "      <td>9400837</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12919</th>\n",
       "      <td>2008</td>\n",
       "      <td>January</td>\n",
       "      <td>E. Bernard Jordan</td>\n",
       "      <td>34191682</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17922</th>\n",
       "      <td>2010</td>\n",
       "      <td>September</td>\n",
       "      <td>Necar Zadegan</td>\n",
       "      <td>30040373</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19729</th>\n",
       "      <td>2010</td>\n",
       "      <td>March</td>\n",
       "      <td>Britton Colquitt</td>\n",
       "      <td>22292608</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>2005</td>\n",
       "      <td>November</td>\n",
       "      <td>Paul Spaeth</td>\n",
       "      <td>470547</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12762</th>\n",
       "      <td>2008</td>\n",
       "      <td>February</td>\n",
       "      <td>Battōsai</td>\n",
       "      <td>1031208</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17281</th>\n",
       "      <td>2010</td>\n",
       "      <td>December</td>\n",
       "      <td>Tane Ikai</td>\n",
       "      <td>3076662</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26126</th>\n",
       "      <td>2012</td>\n",
       "      <td>February</td>\n",
       "      <td>David Lavery</td>\n",
       "      <td>34282168</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23844</th>\n",
       "      <td>2012</td>\n",
       "      <td>December</td>\n",
       "      <td>Black Spark</td>\n",
       "      <td>31160993</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15957</th>\n",
       "      <td>2009</td>\n",
       "      <td>April</td>\n",
       "      <td>Robert Boylestad</td>\n",
       "      <td>7485315</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14565</th>\n",
       "      <td>2009</td>\n",
       "      <td>August</td>\n",
       "      <td>J. Frank Dalton</td>\n",
       "      <td>3246355</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9538</th>\n",
       "      <td>2008</td>\n",
       "      <td>December</td>\n",
       "      <td>Russell Shepard</td>\n",
       "      <td>13989096</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>2005</td>\n",
       "      <td>September</td>\n",
       "      <td>Robert Pugh</td>\n",
       "      <td>7185522</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11106</th>\n",
       "      <td>2008</td>\n",
       "      <td>July</td>\n",
       "      <td>Ma Jaya</td>\n",
       "      <td>18163294</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19355</th>\n",
       "      <td>2010</td>\n",
       "      <td>April</td>\n",
       "      <td>John R. Curtis</td>\n",
       "      <td>26929382</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19635</th>\n",
       "      <td>2010</td>\n",
       "      <td>March</td>\n",
       "      <td>Frank Gaul</td>\n",
       "      <td>1049803</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5434</th>\n",
       "      <td>2006</td>\n",
       "      <td>January</td>\n",
       "      <td>George Fellows</td>\n",
       "      <td>30412916</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17789</th>\n",
       "      <td>2010</td>\n",
       "      <td>October</td>\n",
       "      <td>Eman El-Asy</td>\n",
       "      <td>28948546</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27846</th>\n",
       "      <td>2013</td>\n",
       "      <td>June</td>\n",
       "      <td>Rajon Das</td>\n",
       "      <td>38705714</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Year      Month                                      Tile        Id  \\\n",
       "16258  2009      March                     Zhang Jun (Economist)  21957407   \n",
       "2688   2006   November                              Michael Love   5075291   \n",
       "21931  2011       July                         Yasuhito Namekawa  32455259   \n",
       "25239  2012        May                          Deepak Shimkhada  44685353   \n",
       "24541  2012  September                                Alok Ulfat  49730590   \n",
       "1891   2005   February                             Anil Kakodkar   1446163   \n",
       "4112   2006       June                               Charles Jay   5313787   \n",
       "10984  2008       July                                 Mike Daly   3071713   \n",
       "5848   2007   December                             Stanley Graze  14671269   \n",
       "23959  2012   November                       Mary Elizabeth Butt  37478584   \n",
       "14745  2009       July                               Sam Deering  28309458   \n",
       "7121   2007       July                               Ralph Staub   6832214   \n",
       "19018  2010        May                   Nick Robinson (origami)   2407696   \n",
       "15657  2009        May                             Fred Martinez  43471609   \n",
       "16484  2009   February                    Chris Gardner (curler)  21602458   \n",
       "15675  2009        May                      Edward Wharton-Tigar  22532696   \n",
       "19820  2010   February                    James Rice (cricketer)  19263158   \n",
       "506    2005    October                          Christine Reagan    183753   \n",
       "9149   2007    January                             Steve Hayward  18340630   \n",
       "158    2005   December                            Tiana Benjamin   2294288   \n",
       "12603  2008   February                          Natalee Holloway   4779630   \n",
       "9574   2008   December                       Circle of life camp    287316   \n",
       "13191  2008    January  Abdullah bin Mohammad Al Hokail (banker)   3954759   \n",
       "16406  2009   February         Elizabeth Hay, Countess of Erroll  21570386   \n",
       "6054   2007   November                                      Koby  20031194   \n",
       "15648  2009        May                            Vikash Maharaj  22696668   \n",
       "28847  2013    January                              Eric Everard  22976774   \n",
       "2019   2005    January                               Pat Garrity   1060879   \n",
       "8659   2007      March                          Dwight Gustafson   5885117   \n",
       "9810   2008   November                Academy of Shotokan Karate   7966019   \n",
       "...     ...        ...                                       ...       ...   \n",
       "21842  2011       July                            Inside-AOL.com      3003   \n",
       "18313  2010     August                             Safwat Ghayur  28259454   \n",
       "14828  2009       July                              Shona Holmes  23693588   \n",
       "27760  2013       June                              Nandini Sahu  36944492   \n",
       "19356  2010      April                            Ruchir Punjabi  49075950   \n",
       "9907   2008   November                      Jonathan Plowman Jr.   8783995   \n",
       "7141   2007       July                          Simon Fieldhouse   2858359   \n",
       "6138   2007   November                                 Rincewind    398878   \n",
       "26068  2012   February                             Craig Seymour  22356292   \n",
       "20216  2010    January                             Sitti Navarro   6226824   \n",
       "28917  2013    January                  Gyula Juhász (historian)  14538072   \n",
       "21766  2011       July                        Sreelakshmi Suresh   9400837   \n",
       "12919  2008    January                         E. Bernard Jordan  34191682   \n",
       "17922  2010  September                             Necar Zadegan  30040373   \n",
       "19729  2010      March                          Britton Colquitt  22292608   \n",
       "306    2005   November                               Paul Spaeth    470547   \n",
       "12762  2008   February                                  Battōsai   1031208   \n",
       "17281  2010   December                                 Tane Ikai   3076662   \n",
       "26126  2012   February                              David Lavery  34282168   \n",
       "23844  2012   December                               Black Spark  31160993   \n",
       "15957  2009      April                          Robert Boylestad   7485315   \n",
       "14565  2009     August                           J. Frank Dalton   3246355   \n",
       "9538   2008   December                           Russell Shepard  13989096   \n",
       "644    2005  September                               Robert Pugh   7185522   \n",
       "11106  2008       July                                   Ma Jaya  18163294   \n",
       "19355  2010      April                            John R. Curtis  26929382   \n",
       "19635  2010      March                                Frank Gaul   1049803   \n",
       "5434   2006    January                            George Fellows  30412916   \n",
       "17789  2010    October                               Eman El-Asy  28948546   \n",
       "27846  2013       June                                 Rajon Das  38705714   \n",
       "\n",
       "       Gender  \n",
       "16258    male  \n",
       "2688     male  \n",
       "21931    male  \n",
       "25239    male  \n",
       "24541    male  \n",
       "1891     male  \n",
       "4112     male  \n",
       "10984    male  \n",
       "5848     male  \n",
       "23959  female  \n",
       "14745    male  \n",
       "7121     male  \n",
       "19018    male  \n",
       "15657    male  \n",
       "16484    male  \n",
       "15675    male  \n",
       "19820    male  \n",
       "506    female  \n",
       "9149     male  \n",
       "158    female  \n",
       "12603  female  \n",
       "9574   female  \n",
       "13191    male  \n",
       "16406  female  \n",
       "6054     male  \n",
       "15648    male  \n",
       "28847    male  \n",
       "2019     male  \n",
       "8659     male  \n",
       "9810     male  \n",
       "...       ...  \n",
       "21842    male  \n",
       "18313    male  \n",
       "14828  female  \n",
       "27760  female  \n",
       "19356    male  \n",
       "9907     male  \n",
       "7141     male  \n",
       "6138     male  \n",
       "26068    male  \n",
       "20216  female  \n",
       "28917    male  \n",
       "21766  female  \n",
       "12919    male  \n",
       "17922  female  \n",
       "19729    male  \n",
       "306      male  \n",
       "12762    male  \n",
       "17281  female  \n",
       "26126    male  \n",
       "23844    male  \n",
       "15957    male  \n",
       "14565    male  \n",
       "9538     male  \n",
       "644      male  \n",
       "11106  female  \n",
       "19355    male  \n",
       "19635    male  \n",
       "5434     male  \n",
       "17789  female  \n",
       "27846    male  \n",
       "\n",
       "[100 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nominated = pd.read_csv('nominated.csv')\n",
    "nominated.sample(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "nominated.columns = ['NominatedYear', 'NominatedMonth', 'NominatedTitle', 'NominatedId', 'NominatedGender']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Split the CreationDate field of the persons dataFrame into a year and a month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "person['month'], person['year'] = person['CreationDate'].str.split(' ').str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "person = person.drop(['CreationDate'], axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Drop records which couldn't be crawled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "person = person.drop(person[person.Id == ' '].index)\n",
    "person[person.Id == ' '].shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Parse the Id field of createdAtYear to a numeric value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "person.Id = pd.to_numeric(person.Id)\n",
    "person.Id.dtype"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Finally, join the two datasets under one single dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.merge(nominated, person, left_on='NominatedId', right_on='Id', how = 'inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NominatedYear</th>\n",
       "      <th>NominatedMonth</th>\n",
       "      <th>gender</th>\n",
       "      <th>Id</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>2005</td>\n",
       "      <td>November</td>\n",
       "      <td>male</td>\n",
       "      <td>394840.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13330</th>\n",
       "      <td>2009</td>\n",
       "      <td>May</td>\n",
       "      <td>male</td>\n",
       "      <td>22995531.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13661</th>\n",
       "      <td>2009</td>\n",
       "      <td>April</td>\n",
       "      <td>female</td>\n",
       "      <td>6822623.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2576</th>\n",
       "      <td>2006</td>\n",
       "      <td>November</td>\n",
       "      <td>male</td>\n",
       "      <td>7707690.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1547</th>\n",
       "      <td>2005</td>\n",
       "      <td>April</td>\n",
       "      <td>male</td>\n",
       "      <td>1710500.0</td>\n",
       "      <td>April</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7861</th>\n",
       "      <td>2011</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>9381398.0</td>\n",
       "      <td>February</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14195</th>\n",
       "      <td>2009</td>\n",
       "      <td>February</td>\n",
       "      <td>female</td>\n",
       "      <td>17256026.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6680</th>\n",
       "      <td>2007</td>\n",
       "      <td>July</td>\n",
       "      <td>male</td>\n",
       "      <td>233713.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14828</th>\n",
       "      <td>2010</td>\n",
       "      <td>August</td>\n",
       "      <td>male</td>\n",
       "      <td>31267768.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8460</th>\n",
       "      <td>2008</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>20386340.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4107</th>\n",
       "      <td>2006</td>\n",
       "      <td>June</td>\n",
       "      <td>female</td>\n",
       "      <td>26188937.0</td>\n",
       "      <td>February</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1170</th>\n",
       "      <td>2005</td>\n",
       "      <td>June</td>\n",
       "      <td>male</td>\n",
       "      <td>2094348.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9788</th>\n",
       "      <td>2008</td>\n",
       "      <td>July</td>\n",
       "      <td>male</td>\n",
       "      <td>168707.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18460</th>\n",
       "      <td>2011</td>\n",
       "      <td>June</td>\n",
       "      <td>male</td>\n",
       "      <td>36703461.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15863</th>\n",
       "      <td>2010</td>\n",
       "      <td>June</td>\n",
       "      <td>female</td>\n",
       "      <td>27862853.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6779</th>\n",
       "      <td>2007</td>\n",
       "      <td>July</td>\n",
       "      <td>female</td>\n",
       "      <td>2677011.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12981</th>\n",
       "      <td>2009</td>\n",
       "      <td>July</td>\n",
       "      <td>male</td>\n",
       "      <td>6639182.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18090</th>\n",
       "      <td>2011</td>\n",
       "      <td>August</td>\n",
       "      <td>male</td>\n",
       "      <td>32569284.0</td>\n",
       "      <td>July</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10120</th>\n",
       "      <td>2009</td>\n",
       "      <td>May</td>\n",
       "      <td>female</td>\n",
       "      <td>17571581.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16421</th>\n",
       "      <td>2010</td>\n",
       "      <td>April</td>\n",
       "      <td>male</td>\n",
       "      <td>1798831.0</td>\n",
       "      <td>April</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10101</th>\n",
       "      <td>2008</td>\n",
       "      <td>June</td>\n",
       "      <td>male</td>\n",
       "      <td>7083841.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11741</th>\n",
       "      <td>2009</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>25237404.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9264</th>\n",
       "      <td>2012</td>\n",
       "      <td>July</td>\n",
       "      <td>male</td>\n",
       "      <td>36666358.0</td>\n",
       "      <td>April</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14735</th>\n",
       "      <td>2010</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>2658939.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14623</th>\n",
       "      <td>2010</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>12818773.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17445</th>\n",
       "      <td>2011</td>\n",
       "      <td>November</td>\n",
       "      <td>male</td>\n",
       "      <td>32463811.0</td>\n",
       "      <td>July</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18272</th>\n",
       "      <td>2011</td>\n",
       "      <td>July</td>\n",
       "      <td>male</td>\n",
       "      <td>32672948.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5918</th>\n",
       "      <td>2007</td>\n",
       "      <td>July</td>\n",
       "      <td>male</td>\n",
       "      <td>13641802.0</td>\n",
       "      <td>March</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15138</th>\n",
       "      <td>2010</td>\n",
       "      <td>October</td>\n",
       "      <td>female</td>\n",
       "      <td>656544.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22720</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>5425947.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2006</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8069</th>\n",
       "      <td>2007</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>9272795.0</td>\n",
       "      <td>February</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7218</th>\n",
       "      <td>2007</td>\n",
       "      <td>May</td>\n",
       "      <td>male</td>\n",
       "      <td>3221640.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9805</th>\n",
       "      <td>2008</td>\n",
       "      <td>July</td>\n",
       "      <td>male</td>\n",
       "      <td>12923118.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5739</th>\n",
       "      <td>2007</td>\n",
       "      <td>November</td>\n",
       "      <td>male</td>\n",
       "      <td>23649734.0</td>\n",
       "      <td>July</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>2338784.0</td>\n",
       "      <td>July</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20912</th>\n",
       "      <td>2012</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>7776625.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4114</th>\n",
       "      <td>2006</td>\n",
       "      <td>June</td>\n",
       "      <td>male</td>\n",
       "      <td>5368362.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17070</th>\n",
       "      <td>2010</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>25345663.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1158</th>\n",
       "      <td>2005</td>\n",
       "      <td>June</td>\n",
       "      <td>male</td>\n",
       "      <td>1888120.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10017</th>\n",
       "      <td>2008</td>\n",
       "      <td>June</td>\n",
       "      <td>male</td>\n",
       "      <td>18007134.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22659</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>20152791.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2246</th>\n",
       "      <td>2006</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>25350506.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11376</th>\n",
       "      <td>2008</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>11889729.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15210</th>\n",
       "      <td>2010</td>\n",
       "      <td>September</td>\n",
       "      <td>male</td>\n",
       "      <td>24879083.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18025</th>\n",
       "      <td>2011</td>\n",
       "      <td>August</td>\n",
       "      <td>male</td>\n",
       "      <td>32970955.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11928</th>\n",
       "      <td>2009</td>\n",
       "      <td>November</td>\n",
       "      <td>male</td>\n",
       "      <td>25093727.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10435</th>\n",
       "      <td>2008</td>\n",
       "      <td>April</td>\n",
       "      <td>male</td>\n",
       "      <td>7785210.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16259</th>\n",
       "      <td>2010</td>\n",
       "      <td>April</td>\n",
       "      <td>male</td>\n",
       "      <td>26202221.0</td>\n",
       "      <td>February</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6129</th>\n",
       "      <td>2007</td>\n",
       "      <td>September</td>\n",
       "      <td>male</td>\n",
       "      <td>3330784.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7356</th>\n",
       "      <td>2007</td>\n",
       "      <td>April</td>\n",
       "      <td>female</td>\n",
       "      <td>10967745.0</td>\n",
       "      <td>April</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2009</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>21866874.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17063</th>\n",
       "      <td>2010</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>7990264.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22660</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>1353914.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4681</th>\n",
       "      <td>2006</td>\n",
       "      <td>March</td>\n",
       "      <td>female</td>\n",
       "      <td>467626.0</td>\n",
       "      <td>February</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1244</th>\n",
       "      <td>2005</td>\n",
       "      <td>June</td>\n",
       "      <td>male</td>\n",
       "      <td>1660378.0</td>\n",
       "      <td>March</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2950</th>\n",
       "      <td>2006</td>\n",
       "      <td>September</td>\n",
       "      <td>male</td>\n",
       "      <td>40232603.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13540</th>\n",
       "      <td>2009</td>\n",
       "      <td>May</td>\n",
       "      <td>male</td>\n",
       "      <td>22568074.0</td>\n",
       "      <td>April</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12398</th>\n",
       "      <td>2009</td>\n",
       "      <td>September</td>\n",
       "      <td>female</td>\n",
       "      <td>32485641.0</td>\n",
       "      <td>July</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7715</th>\n",
       "      <td>2007</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>5620890.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20034</th>\n",
       "      <td>2012</td>\n",
       "      <td>September</td>\n",
       "      <td>male</td>\n",
       "      <td>29846990.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       NominatedYear NominatedMonth  gender          Id      month  year\n",
       "405             2005       November    male    394840.0   December  2003\n",
       "13330           2009            May    male  22995531.0        May  2009\n",
       "13661           2009          April  female   6822623.0  September  2006\n",
       "2576            2006       November    male   7707690.0    October  2006\n",
       "1547            2005          April    male   1710500.0      April  2005\n",
       "7861            2011       December    male   9381398.0   February  2007\n",
       "14195           2009       February  female  17256026.0        May  2008\n",
       "6680            2007           July    male    233713.0        May  2003\n",
       "14828           2010         August    male  31267768.0    October  2009\n",
       "8460            2008       December    male  20386340.0   November  2008\n",
       "4107            2006           June  female  26188937.0   February  2010\n",
       "1170            2005           June    male   2094348.0       June  2005\n",
       "9788            2008           July    male    168707.0    January  2003\n",
       "18460           2011           June    male  36703461.0     August  2012\n",
       "15863           2010           June  female  27862853.0       June  2010\n",
       "6779            2007           July  female   2677011.0  September  2005\n",
       "12981           2009           July    male   6639182.0     August  2006\n",
       "18090           2011         August    male  32569284.0       July  2011\n",
       "10120           2009            May  female  17571581.0        May  2008\n",
       "16421           2010          April    male   1798831.0      April  2005\n",
       "10101           2008           June    male   7083841.0  September  2006\n",
       "11741           2009       December    male  25237404.0   November  2009\n",
       "9264            2012           July    male  36666358.0      April  2007\n",
       "14735           2010       December    male   2658939.0  September  2005\n",
       "14623           2010       December    male  12818773.0     August  2007\n",
       "17445           2011       November    male  32463811.0       July  2011\n",
       "18272           2011           July    male  32672948.0     August  2011\n",
       "5918            2007           July    male  13641802.0      March  2006\n",
       "15138           2010        October  female    656544.0        May  2004\n",
       "22720           2013        January    male   5425947.0       June  2006\n",
       "...              ...            ...     ...         ...        ...   ...\n",
       "8069            2007       February    male   9272795.0   February  2007\n",
       "7218            2007            May    male   3221640.0   November  2005\n",
       "9805            2008           July    male  12923118.0     August  2007\n",
       "5739            2007       November    male  23649734.0       July  2009\n",
       "139             2005       December    male   2338784.0       July  2005\n",
       "20912           2012          March    male   7776625.0   November  2006\n",
       "4114            2006           June    male   5368362.0        May  2006\n",
       "17070           2010        January    male  25345663.0   December  2009\n",
       "1158            2005           June    male   1888120.0        May  2005\n",
       "10017           2008           June    male  18007134.0       June  2008\n",
       "22659           2013        January    male  20152791.0   November  2008\n",
       "2246            2006       December    male  25350506.0   December  2009\n",
       "11376           2008        January  female  11889729.0       June  2007\n",
       "15210           2010      September    male  24879083.0    October  2009\n",
       "18025           2011         August    male  32970955.0        May  2011\n",
       "11928           2009       November    male  25093727.0   November  2009\n",
       "10435           2008          April    male   7785210.0   November  2006\n",
       "16259           2010          April    male  26202221.0   February  2010\n",
       "6129            2007      September    male   3330784.0   December  2005\n",
       "7356            2007          April  female  10967745.0      April  2007\n",
       "24              2009       February    male  21866874.0  September  2006\n",
       "17063           2010        January  female   7990264.0   November  2006\n",
       "22660           2013        January    male   1353914.0    January  2005\n",
       "4681            2006          March  female    467626.0   February  2004\n",
       "1244            2005           June    male   1660378.0      March  2005\n",
       "2950            2006      September    male  40232603.0     August  2013\n",
       "13540           2009            May    male  22568074.0      April  2009\n",
       "12398           2009      September  female  32485641.0       July  2011\n",
       "7715            2007          March    male   5620890.0       June  2006\n",
       "20034           2012      September    male  29846990.0   December  2010\n",
       "\n",
       "[100 rows x 6 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop redundant columns\n",
    "result = result.drop(['NominatedId', 'NominatedGender', 'uri', 'NominatedTitle'], axis = 1)\n",
    "\n",
    "# Convert the year to an integer\n",
    "result.year = pd.to_numeric(result.year)\n",
    "result.sample(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22788"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# As discussed on presentation day, we are looking at our research based on 3 special cases. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Disregarding special cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amount of data without special cases compared to the original amount 35.93558012989293 %\n"
     ]
    }
   ],
   "source": [
    "resultWsc = result[result.year == result.NominatedYear]\n",
    "print(\"Amount of data without special cases compared to the original amount\", resultWsc.shape[0]*100 / result.shape[0], \"%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "years = ['2005','2006', '2007','2008', '2009', '2010', '2011', '2012', '2013']\n",
    "nominatedMen = []\n",
    "nominatedWomen = []\n",
    "\n",
    "for year in years:\n",
    "    # How many articles of the respective genders were created at the respective year\n",
    "    yearXM = person[(person.year == year) & (person.gender == 'male')].shape[0]\n",
    "    yearXF = person[(person.year == year) & (person.gender == 'female')].shape[0]\n",
    "    # How many articles of the respective genders were nominated for deletion at the respective year\n",
    "    nominatedM = resultWsc[(resultWsc.NominatedYear == int(year)) & (resultWsc.gender == 'male')].shape[0]\n",
    "    nominatedF = resultWsc[(resultWsc.NominatedYear == int(year)) & (resultWsc.gender == 'female')].shape[0]\n",
    "    \n",
    "    nominatedMen.append(nominatedM*100/yearXM)\n",
    "    nominatedWomen.append(nominatedF*100/yearXF)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average difference between men and women is 0.5764404864354968 %\n"
     ]
    }
   ],
   "source": [
    "difSum = 0\n",
    "for i in range(0, len(nominatedMen)):\n",
    "    difSum+=nominatedWomen[i] - nominatedMen[i]\n",
    "print(\"The average difference between men and women is\",difSum/len(nominatedMen),\"%\")   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x261b08c7eb8>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(years, nominatedMen, label = 'Men')\n",
    "plt.plot(years, nominatedWomen, label = 'Women')\n",
    "plt.xlabel('Years')\n",
    "plt.ylabel('Nominated For Deletion (%)')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Considering special cases"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Special cases: <br>\n",
    "<ol>\n",
    "    <li><b>NominatedDate (year) - CreatedDate (year) > 2</b> </li>\n",
    "        In about 20% of the articles the distance between the created year and the nominated for deletion year is greater than 2. These articles will be counted as if they were created on the year when they were nominated for deletion as long as the created year is less than or equal to 2007. The reason is that articles created in the first years of wikipedia are often consisting of just one paragraph or even a 2-3 sentences in their first form and they are changing a lot overtime so that in the context of our research, the article literally is not the same as the first verison of it or even the first couple versions of it. Morover something substantial must have changed if it was nominated for deletion 3 or 4 years later. \n",
    "<b>Example:</b>\n",
    "    The article for Carolyn Bessette-Kennedy was first created in 2003 and it consisted of just a small paragraph. At 2009, the year when it was nominated for deletion, we almost have a full-fledged article so that, in the context of our research we can't just ignore this article because it was created in 2003. Hence we are saying that the article has substantially changed since 2003 and calculating it as an article created in 2009 (another question is: why 2009 and not 2008? We chose 2009 first of all because of the simplicity of calculation and then because, again if it was nominated in 2009 then some substantional change must have happened on 2009. A better approach would have been to thoroughly study the \"View history\" of the article which is containing a history of all changes).\n",
    "    <li><b>CreationDate (year) > NominationDate(year)</b></li>\n",
    "    For some articles we observe an interesting phenomenon, namely that the creation year is greater than the year in which the article was nominated for deletion. This does not make sense on a first look but what is rather happening is, that after the article survives one nomination for deletion, its getting deleted at some other point in time. This accounts for about 15% of the articles.\n",
    "    <b>Example: </b> The article on Travis D'Arnaud was nominated for deletion on December 2009 but it was created on april 2010. What has happened in between is that after surviving the nomination of December 2009 this article was probably nominated again for deletion and this time it was deleted (our crawler is only crawling articles that got nominated for deletion and stayed so that we can't really see this for all articles). Then it was created again in April 2010 with the exact same name and id as before. Hence the discrepancy. But because this accounts for 20% of the articles and we didn't want to just throw them away we decided to count the creation date the same as the nominated for deletion date. In this case we count the creation date to be 2009. We chose it this way because most of articles are getting nominated for deletion on the same year that they were created, which makes sense (the wikipedia community is continually scouting the new articles created and it is unlikely for a whole year to pass by without an article being noticed). A better approach on this point would have been to decide the created year based on some random probability distribution which is conforting to the general tendency of articles flagged for deletion on the same year they get created (so maybe after studying this tendency we come up at the conclusion that an article gets flagged for deletion on the same year he was created with a prob of 0.7).\n",
    "    <li><b>The nominated and creation year differ by one and the months differ by 6.</b></li>\n",
    "    This accounts for only 2.5% of the articles, namely the article gets created on the last 3 months of a year (December, November, October) and then it gets nominated for deletion somewhere between the first 3 months of the next year (january, februar, march). The time span is very rarely 6 months, mostly it is lower than or equal to 3.<b>Example: </b> The article of Kendra Morris was created on December 2008 but was nominated for deletion on January 2009. We count it as an article nominated for deletion in 2008 to account for the time discrepancy.\n",
    "</ol>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([   13,    14,    21,    23,    24,    43,    49,    50,    58,\n",
       "               59,\n",
       "            ...\n",
       "            22762, 22764, 22767, 22769, 22771, 22772, 22774, 22780, 22782,\n",
       "            22783],\n",
       "           dtype='int64', length=4887)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Account for special case no.1\n",
    "indexes = result[(result.NominatedYear - result.year > 2) & (result.year < 2008)].index\n",
    "indexes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NominatedYear</th>\n",
       "      <th>NominatedMonth</th>\n",
       "      <th>gender</th>\n",
       "      <th>Id</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2007</td>\n",
       "      <td>August</td>\n",
       "      <td>male</td>\n",
       "      <td>433349.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2010</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>433349.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2010</td>\n",
       "      <td>May</td>\n",
       "      <td>male</td>\n",
       "      <td>3553850.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2009</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>21866874.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2009</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>21866874.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2009</td>\n",
       "      <td>July</td>\n",
       "      <td>male</td>\n",
       "      <td>7997210.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2007</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>12999995.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2010</td>\n",
       "      <td>August</td>\n",
       "      <td>male</td>\n",
       "      <td>12999995.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2008</td>\n",
       "      <td>October</td>\n",
       "      <td>male</td>\n",
       "      <td>1369237.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2008</td>\n",
       "      <td>September</td>\n",
       "      <td>male</td>\n",
       "      <td>1369237.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2012</td>\n",
       "      <td>October</td>\n",
       "      <td>male</td>\n",
       "      <td>1610485.0</td>\n",
       "      <td>March</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>female</td>\n",
       "      <td>9764.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>66240.0</td>\n",
       "      <td>July</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>43356.0</td>\n",
       "      <td>March</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2007</td>\n",
       "      <td>July</td>\n",
       "      <td>male</td>\n",
       "      <td>43356.0</td>\n",
       "      <td>March</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2009</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>43356.0</td>\n",
       "      <td>March</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>27827075.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2009</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>2083013.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2010</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>623762.0</td>\n",
       "      <td>April</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>24067.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>2012</td>\n",
       "      <td>May</td>\n",
       "      <td>female</td>\n",
       "      <td>1546996.0</td>\n",
       "      <td>February</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2008</td>\n",
       "      <td>March</td>\n",
       "      <td>female</td>\n",
       "      <td>1359894.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>17122.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>2007</td>\n",
       "      <td>September</td>\n",
       "      <td>male</td>\n",
       "      <td>650426.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>2008</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>650426.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2008</td>\n",
       "      <td>April</td>\n",
       "      <td>male</td>\n",
       "      <td>3404106.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2008</td>\n",
       "      <td>September</td>\n",
       "      <td>male</td>\n",
       "      <td>545245.0</td>\n",
       "      <td>March</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>2010</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>3023983.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>2008</td>\n",
       "      <td>June</td>\n",
       "      <td>female</td>\n",
       "      <td>18233520.0</td>\n",
       "      <td>April</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>2009</td>\n",
       "      <td>December</td>\n",
       "      <td>female</td>\n",
       "      <td>18233520.0</td>\n",
       "      <td>April</td>\n",
       "      <td>2005</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22706</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>13197423.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22707</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>14906758.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22710</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>12447374.0</td>\n",
       "      <td>July</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22711</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>13495433.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22716</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>11614129.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22718</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>10684354.0</td>\n",
       "      <td>April</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22719</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>7069931.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22720</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>5425947.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22722</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>3862518.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22725</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>159526.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22726</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>4261188.0</td>\n",
       "      <td>March</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22727</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>13803513.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22728</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>12507759.0</td>\n",
       "      <td>July</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22729</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>13442648.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22733</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>12774030.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22734</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>5917400.0</td>\n",
       "      <td>July</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22739</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>7664166.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22754</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>1833432.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22756</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>3027150.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22760</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>12924318.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22762</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>2476465.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22764</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>1235335.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22767</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>11690074.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22769</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>6710453.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22771</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>8802704.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22772</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>4584756.0</td>\n",
       "      <td>March</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22774</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>6689909.0</td>\n",
       "      <td>August</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22780</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>11200200.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22782</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>9955045.0</td>\n",
       "      <td>March</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22783</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>6913398.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4887 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       NominatedYear NominatedMonth  gender          Id      month  year\n",
       "13              2007         August    male    433349.0    January  2004\n",
       "14              2010       February    male    433349.0    January  2004\n",
       "21              2010            May    male   3553850.0   December  2005\n",
       "23              2009          March    male  21866874.0  September  2006\n",
       "24              2009       February    male  21866874.0  September  2006\n",
       "43              2009           July    male   7997210.0   November  2006\n",
       "49              2007          March    male  12999995.0        May  2004\n",
       "50              2010         August    male  12999995.0        May  2004\n",
       "58              2008        October    male   1369237.0    January  2005\n",
       "59              2008      September    male   1369237.0    January  2005\n",
       "71              2012        October    male   1610485.0      March  2005\n",
       "73              2005       December  female      9764.0  September  2001\n",
       "75              2005       December    male     66240.0       July  2002\n",
       "78              2005       December    male     43356.0      March  2002\n",
       "79              2007           July    male     43356.0      March  2002\n",
       "80              2009       December    male     43356.0      March  2002\n",
       "88              2005       December    male  27827075.0  September  2001\n",
       "98              2009       February    male   2083013.0       June  2005\n",
       "104             2010          March    male    623762.0      April  2004\n",
       "108             2005       December    male     24067.0  September  2001\n",
       "122             2012            May  female   1546996.0   February  2005\n",
       "141             2008          March  female   1359894.0    January  2005\n",
       "148             2005       December    male     17122.0   November  2001\n",
       "154             2007      September    male    650426.0        May  2004\n",
       "155             2008        January    male    650426.0        May  2004\n",
       "170             2008          April    male   3404106.0   December  2005\n",
       "177             2008      September    male    545245.0      March  2004\n",
       "183             2010        January  female   3023983.0    October  2005\n",
       "206             2008           June  female  18233520.0      April  2005\n",
       "207             2009       December  female  18233520.0      April  2005\n",
       "...              ...            ...     ...         ...        ...   ...\n",
       "22706           2013        January    male  13197423.0  September  2007\n",
       "22707           2013        January  female  14906758.0   December  2007\n",
       "22710           2013        January    male  12447374.0       July  2007\n",
       "22711           2013        January    male  13495433.0  September  2007\n",
       "22716           2013        January    male  11614129.0       June  2007\n",
       "22718           2013        January    male  10684354.0      April  2007\n",
       "22719           2013        January    male   7069931.0  September  2006\n",
       "22720           2013        January    male   5425947.0       June  2006\n",
       "22722           2013        January    male   3862518.0    January  2006\n",
       "22725           2013        January  female    159526.0   December  2002\n",
       "22726           2013        January    male   4261188.0      March  2006\n",
       "22727           2013        January    male  13803513.0    October  2007\n",
       "22728           2013        January    male  12507759.0       July  2007\n",
       "22729           2013        January    male  13442648.0  September  2007\n",
       "22733           2013        January    male  12774030.0     August  2007\n",
       "22734           2013        January    male   5917400.0       July  2006\n",
       "22739           2013        January  female   7664166.0    October  2006\n",
       "22754           2013        January    male   1833432.0        May  2005\n",
       "22756           2013        January    male   3027150.0    October  2005\n",
       "22760           2013        January    male  12924318.0     August  2007\n",
       "22762           2013        January    male   2476465.0     August  2005\n",
       "22764           2013        January    male   1235335.0   December  2004\n",
       "22767           2013        January    male  11690074.0       June  2007\n",
       "22769           2013        January    male   6710453.0     August  2006\n",
       "22771           2013        January    male   8802704.0    January  2007\n",
       "22772           2013        January    male   4584756.0      March  2006\n",
       "22774           2013        January    male   6689909.0     August  2006\n",
       "22780           2013        January    male  11200200.0        May  2007\n",
       "22782           2013        January    male   9955045.0      March  2007\n",
       "22783           2013        January    male   6913398.0  September  2006\n",
       "\n",
       "[4887 rows x 6 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.iloc[indexes]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "result.loc[indexes, 'year'] = result.loc[indexes, 'NominatedYear']\n",
    "\n",
    "# Remove month so that they don't fall under the 3rd category later\n",
    "result.loc[indexes, 'month'] = \"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Account for special case no.2\n",
    "indexes2 = result[result.year > result.NominatedYear].index\n",
    "\n",
    "result.loc[indexes2, 'year'] = result.loc[indexes2, 'NominatedYear']\n",
    "\n",
    "# Remove month so that they don't fall in the 3rd category\n",
    "result.loc[indexes2, 'month'] = \"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NominatedYear</th>\n",
       "      <th>NominatedMonth</th>\n",
       "      <th>gender</th>\n",
       "      <th>Id</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>14556103.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>4227450.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>16152852.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>5289926.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>21866874.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3848767.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>4334176.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>25141489.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>24621997.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>7997210.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>female</td>\n",
       "      <td>2998341.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3452650.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>6525579.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>female</td>\n",
       "      <td>17050933.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2006</td>\n",
       "      <td>December</td>\n",
       "      <td>female</td>\n",
       "      <td>17050933.0</td>\n",
       "      <td></td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>40327107.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2007</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>40327107.0</td>\n",
       "      <td></td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2011</td>\n",
       "      <td>June</td>\n",
       "      <td>male</td>\n",
       "      <td>40327107.0</td>\n",
       "      <td></td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>12129046.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>6309287.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>15179606.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>10496640.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>5378641.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3494196.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>913732.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>19821498.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>34742655.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>16039950.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>7621953.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>5635936.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22229</th>\n",
       "      <td>2013</td>\n",
       "      <td>April</td>\n",
       "      <td>female</td>\n",
       "      <td>38905119.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22243</th>\n",
       "      <td>2013</td>\n",
       "      <td>April</td>\n",
       "      <td>male</td>\n",
       "      <td>40572164.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22281</th>\n",
       "      <td>2013</td>\n",
       "      <td>April</td>\n",
       "      <td>male</td>\n",
       "      <td>40477457.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22286</th>\n",
       "      <td>2013</td>\n",
       "      <td>April</td>\n",
       "      <td>male</td>\n",
       "      <td>39027684.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22303</th>\n",
       "      <td>2013</td>\n",
       "      <td>April</td>\n",
       "      <td>female</td>\n",
       "      <td>18390136.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22327</th>\n",
       "      <td>2013</td>\n",
       "      <td>April</td>\n",
       "      <td>female</td>\n",
       "      <td>25563567.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22362</th>\n",
       "      <td>2013</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>16395607.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22408</th>\n",
       "      <td>2013</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>38392237.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22440</th>\n",
       "      <td>2013</td>\n",
       "      <td>March</td>\n",
       "      <td>female</td>\n",
       "      <td>38570572.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22448</th>\n",
       "      <td>2013</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>32601774.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22449</th>\n",
       "      <td>2013</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>32191208.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22453</th>\n",
       "      <td>2013</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>38156841.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22454</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>38156841.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22457</th>\n",
       "      <td>2013</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1679603.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22464</th>\n",
       "      <td>2013</td>\n",
       "      <td>March</td>\n",
       "      <td>female</td>\n",
       "      <td>33142873.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22473</th>\n",
       "      <td>2013</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>36029372.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22500</th>\n",
       "      <td>2013</td>\n",
       "      <td>February</td>\n",
       "      <td>female</td>\n",
       "      <td>38513743.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22508</th>\n",
       "      <td>2013</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>31298066.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22520</th>\n",
       "      <td>2013</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>47547420.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22534</th>\n",
       "      <td>2013</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>26210122.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22573</th>\n",
       "      <td>2013</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>12797031.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22578</th>\n",
       "      <td>2013</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>36722451.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22609</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>39660529.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22681</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>6709977.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22683</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>42337759.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22731</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37993788.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22741</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37586959.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22755</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>230281.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22765</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>452673.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22775</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>32161826.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3613 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       NominatedYear NominatedMonth  gender          Id month  year\n",
       "0               2005       December    male  14556103.0        2005\n",
       "2               2005       December    male   4227450.0        2005\n",
       "16              2005       December    male  16152852.0        2005\n",
       "18              2005       December    male   5289926.0        2005\n",
       "22              2005       December    male  21866874.0        2005\n",
       "25              2005       December    male   3848767.0        2005\n",
       "37              2005       December    male   4334176.0        2005\n",
       "38              2005       December    male  25141489.0        2005\n",
       "39              2005       December    male  24621997.0        2005\n",
       "42              2005       December    male   7997210.0        2005\n",
       "51              2005       December  female   2998341.0        2005\n",
       "52              2005       December    male   3452650.0        2005\n",
       "53              2005       December    male   6525579.0        2005\n",
       "54              2005       December  female  17050933.0        2005\n",
       "55              2006       December  female  17050933.0        2006\n",
       "65              2005       December    male  40327107.0        2005\n",
       "66              2007          March    male  40327107.0        2007\n",
       "67              2011           June    male  40327107.0        2011\n",
       "68              2005       December    male  12129046.0        2005\n",
       "82              2005       December    male   6309287.0        2005\n",
       "84              2005       December    male  15179606.0        2005\n",
       "91              2005       December    male  10496640.0        2005\n",
       "94              2005       December    male   5378641.0        2005\n",
       "95              2005       December    male   3494196.0        2005\n",
       "109             2005       December    male    913732.0        2005\n",
       "110             2005       December    male  19821498.0        2005\n",
       "114             2005       December    male  34742655.0        2005\n",
       "115             2005       December    male  16039950.0        2005\n",
       "118             2005       December    male   7621953.0        2005\n",
       "123             2005       December    male   5635936.0        2005\n",
       "...              ...            ...     ...         ...   ...   ...\n",
       "22229           2013          April  female  38905119.0        2013\n",
       "22243           2013          April    male  40572164.0        2013\n",
       "22281           2013          April    male  40477457.0        2013\n",
       "22286           2013          April    male  39027684.0        2013\n",
       "22303           2013          April  female  18390136.0        2013\n",
       "22327           2013          April  female  25563567.0        2013\n",
       "22362           2013          March    male  16395607.0        2013\n",
       "22408           2013          March    male  38392237.0        2013\n",
       "22440           2013          March  female  38570572.0        2013\n",
       "22448           2013          March    male  32601774.0        2013\n",
       "22449           2013          March    male  32191208.0        2013\n",
       "22453           2013          March    male  38156841.0        2013\n",
       "22454           2013        January    male  38156841.0        2013\n",
       "22457           2013          March    male   1679603.0        2013\n",
       "22464           2013          March  female  33142873.0        2013\n",
       "22473           2013       February    male  36029372.0        2013\n",
       "22500           2013       February  female  38513743.0        2013\n",
       "22508           2013       February    male  31298066.0        2013\n",
       "22520           2013       February    male  47547420.0        2013\n",
       "22534           2013       February    male  26210122.0        2013\n",
       "22573           2013       February    male  12797031.0        2013\n",
       "22578           2013       February    male  36722451.0        2013\n",
       "22609           2013        January    male  39660529.0        2013\n",
       "22681           2013        January    male   6709977.0        2013\n",
       "22683           2013        January    male  42337759.0        2013\n",
       "22731           2013        January    male  37993788.0        2013\n",
       "22741           2013        January    male  37586959.0        2013\n",
       "22755           2013        January    male    230281.0        2013\n",
       "22765           2013        January    male    452673.0        2013\n",
       "22775           2013        January    male  32161826.0        2013\n",
       "\n",
       "[3613 rows x 6 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.iloc[indexes2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Accounting for special case no.3 \n",
    "indexes3 = result[(result.NominatedYear - result.year == 1) & (((result.month == 'December') | (result.month == 'November') \n",
    "                                                    |(result.month == 'October')) & ((result.NominatedMonth == 'January')\n",
    "                                                                                    | (result.NominatedMonth == 'February')\n",
    "                                                                                    | (result.NominatedMonth == 'March')))].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "result.loc[indexes3, 'NominatedYear'] = result.loc[indexes3, 'year']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NominatedYear</th>\n",
       "      <th>NominatedMonth</th>\n",
       "      <th>gender</th>\n",
       "      <th>Id</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2005</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>3557832.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2005</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>3510521.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2005</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>2907843.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2005</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>2951290.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1380</th>\n",
       "      <td>2004</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>1318468.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1381</th>\n",
       "      <td>2004</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>1318468.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1593</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1218816.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1628</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1272067.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1637</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1060306.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1640</th>\n",
       "      <td>2006</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>7917058.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1648</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1079389.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1651</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1055764.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1672</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1177516.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1680</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1267873.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1682</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1193334.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1683</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1290471.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1708</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>30875095.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1710</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>female</td>\n",
       "      <td>1265497.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1722</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1105811.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1725</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1053708.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1727</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1093736.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1729</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>female</td>\n",
       "      <td>1077911.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1733</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1175743.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1737</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1038998.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1738</th>\n",
       "      <td>2004</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>1186409.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1744</th>\n",
       "      <td>2004</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>1177221.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1745</th>\n",
       "      <td>2004</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>1284789.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1750</th>\n",
       "      <td>2004</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>1178408.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1773</th>\n",
       "      <td>2004</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>1174388.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1774</th>\n",
       "      <td>2004</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>1195247.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2004</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21361</th>\n",
       "      <td>2011</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>34173902.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22142</th>\n",
       "      <td>2012</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>37675055.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22354</th>\n",
       "      <td>2012</td>\n",
       "      <td>March</td>\n",
       "      <td>female</td>\n",
       "      <td>38068567.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22355</th>\n",
       "      <td>2012</td>\n",
       "      <td>March</td>\n",
       "      <td>female</td>\n",
       "      <td>37825853.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22389</th>\n",
       "      <td>2012</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>37395406.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22418</th>\n",
       "      <td>2012</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>37604497.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22419</th>\n",
       "      <td>2012</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>37804984.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22421</th>\n",
       "      <td>2012</td>\n",
       "      <td>March</td>\n",
       "      <td>female</td>\n",
       "      <td>37673641.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22450</th>\n",
       "      <td>2012</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>37419428.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22550</th>\n",
       "      <td>2012</td>\n",
       "      <td>February</td>\n",
       "      <td>female</td>\n",
       "      <td>38043752.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22552</th>\n",
       "      <td>2012</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>37912987.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22567</th>\n",
       "      <td>2012</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>37960600.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22572</th>\n",
       "      <td>2012</td>\n",
       "      <td>February</td>\n",
       "      <td>female</td>\n",
       "      <td>37847312.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22638</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37649122.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22678</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>37807998.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22696</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37911279.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22702</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>38061560.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22703</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>38068583.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22715</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>37976624.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22735</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37868326.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22743</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>37859507.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22748</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37955879.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22750</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37580399.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22751</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>38076943.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22753</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>37967596.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22758</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37931411.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22763</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>38042949.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22766</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37207134.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22773</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>38076908.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22781</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37775364.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>533 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       NominatedYear NominatedMonth  gender          Id     month  year\n",
       "27              2005        January    male   3557832.0  December  2005\n",
       "33              2005       February    male   3510521.0  December  2005\n",
       "62              2005        January    male   2907843.0   October  2005\n",
       "166             2005        January    male   2951290.0   October  2005\n",
       "1380            2004       February    male   1318468.0  December  2004\n",
       "1381            2004        January    male   1318468.0  December  2004\n",
       "1593            2004          March    male   1218816.0  November  2004\n",
       "1628            2004          March    male   1272067.0  December  2004\n",
       "1637            2004          March    male   1060306.0   October  2004\n",
       "1640            2006          March    male   7917058.0  November  2006\n",
       "1648            2004          March    male   1079389.0   October  2004\n",
       "1651            2004          March    male   1055764.0   October  2004\n",
       "1672            2004          March    male   1177516.0  November  2004\n",
       "1680            2004          March    male   1267873.0  December  2004\n",
       "1682            2004          March    male   1193334.0  November  2004\n",
       "1683            2004          March    male   1290471.0  December  2004\n",
       "1708            2004          March    male  30875095.0  November  2004\n",
       "1710            2004          March  female   1265497.0  December  2004\n",
       "1722            2004          March    male   1105811.0   October  2004\n",
       "1725            2004          March    male   1053708.0   October  2004\n",
       "1727            2004          March    male   1093736.0   October  2004\n",
       "1729            2004          March  female   1077911.0   October  2004\n",
       "1733            2004          March    male   1175743.0  November  2004\n",
       "1737            2004          March    male   1038998.0   October  2004\n",
       "1738            2004          March    male   1186409.0  November  2004\n",
       "1744            2004       February    male   1177221.0  November  2004\n",
       "1745            2004       February    male   1284789.0  December  2004\n",
       "1750            2004       February    male   1178408.0  November  2004\n",
       "1773            2004       February    male   1174388.0  November  2004\n",
       "1774            2004       February    male   1195247.0  November  2004\n",
       "...              ...            ...     ...         ...       ...   ...\n",
       "21361           2011        January    male  34173902.0  December  2011\n",
       "22142           2012          March    male  37675055.0  November  2012\n",
       "22354           2012          March  female  38068567.0  December  2012\n",
       "22355           2012          March  female  37825853.0  December  2012\n",
       "22389           2012          March    male  37395406.0   October  2012\n",
       "22418           2012          March    male  37604497.0  November  2012\n",
       "22419           2012          March    male  37804984.0  December  2012\n",
       "22421           2012          March  female  37673641.0  November  2012\n",
       "22450           2012          March    male  37419428.0   October  2012\n",
       "22550           2012       February  female  38043752.0  December  2012\n",
       "22552           2012       February    male  37912987.0  December  2012\n",
       "22567           2012       February    male  37960600.0  December  2012\n",
       "22572           2012       February  female  37847312.0  December  2012\n",
       "22638           2012        January    male  37649122.0  November  2012\n",
       "22678           2012        January  female  37807998.0  December  2012\n",
       "22696           2012        January    male  37911279.0  December  2012\n",
       "22702           2012        January  female  38061560.0  December  2012\n",
       "22703           2012        January    male  38068583.0  December  2012\n",
       "22715           2012        January  female  37976624.0  December  2012\n",
       "22735           2012        January    male  37868326.0  December  2012\n",
       "22743           2012        January  female  37859507.0  December  2012\n",
       "22748           2012        January    male  37955879.0  December  2012\n",
       "22750           2012        January    male  37580399.0  November  2012\n",
       "22751           2012        January    male  38076943.0  December  2012\n",
       "22753           2012        January  female  37967596.0  December  2012\n",
       "22758           2012        January    male  37931411.0  December  2012\n",
       "22763           2012        January    male  38042949.0  December  2012\n",
       "22766           2012        January    male  37207134.0   October  2012\n",
       "22773           2012        January    male  38076908.0  December  2012\n",
       "22781           2012        January    male  37775364.0  November  2012\n",
       "\n",
       "[533 rows x 6 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.loc[indexes3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amount of data without special cases compared to the original amount 75.57486396348956 %\n"
     ]
    }
   ],
   "source": [
    "# Retain only record where creation date and nomination are the same (this is needed for the year by year analisys)\n",
    "resultEq = (result[result.NominatedYear == result.year])\n",
    "print(\"Amount of data without special cases compared to the original amount\", resultEq.shape[0]*100 / result.shape[0], \"%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NominatedYear</th>\n",
       "      <th>NominatedMonth</th>\n",
       "      <th>gender</th>\n",
       "      <th>Id</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>14556103.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>4227450.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>female</td>\n",
       "      <td>3258728.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>female</td>\n",
       "      <td>3087149.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3191175.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>1884298.0</td>\n",
       "      <td>May</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3563211.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>female</td>\n",
       "      <td>2721613.0</td>\n",
       "      <td>September</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3569216.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>2110815.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2007</td>\n",
       "      <td>August</td>\n",
       "      <td>male</td>\n",
       "      <td>433349.0</td>\n",
       "      <td></td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2010</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>433349.0</td>\n",
       "      <td></td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3450950.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>16152852.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>5289926.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>2008835.0</td>\n",
       "      <td>June</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3553850.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2010</td>\n",
       "      <td>May</td>\n",
       "      <td>male</td>\n",
       "      <td>3553850.0</td>\n",
       "      <td></td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>21866874.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2009</td>\n",
       "      <td>March</td>\n",
       "      <td>male</td>\n",
       "      <td>21866874.0</td>\n",
       "      <td></td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2009</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>21866874.0</td>\n",
       "      <td></td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3848767.0</td>\n",
       "      <td></td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3557832.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2005</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>3557832.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>female</td>\n",
       "      <td>3508434.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3417010.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3510521.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3510521.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2005</td>\n",
       "      <td>December</td>\n",
       "      <td>male</td>\n",
       "      <td>3510521.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2005</td>\n",
       "      <td>February</td>\n",
       "      <td>male</td>\n",
       "      <td>3510521.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2005</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22747</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>38099982.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22748</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37955879.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22749</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>38170894.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22750</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37580399.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22751</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>38076943.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22752</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>38177935.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22753</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>female</td>\n",
       "      <td>37967596.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22754</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>1833432.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22755</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>230281.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22756</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>3027150.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22758</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37931411.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22760</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>12924318.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22762</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>2476465.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22763</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>38042949.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22764</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>1235335.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22765</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>452673.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22766</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37207134.0</td>\n",
       "      <td>October</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22767</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>11690074.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22768</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>39167294.0</td>\n",
       "      <td>April</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22769</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>6710453.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22771</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>8802704.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22772</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>4584756.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22773</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>38076908.0</td>\n",
       "      <td>December</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22774</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>6689909.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22775</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>32161826.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22777</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>38108420.0</td>\n",
       "      <td>January</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22780</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>11200200.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22781</th>\n",
       "      <td>2012</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>37775364.0</td>\n",
       "      <td>November</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22782</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>9955045.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22783</th>\n",
       "      <td>2013</td>\n",
       "      <td>January</td>\n",
       "      <td>male</td>\n",
       "      <td>6913398.0</td>\n",
       "      <td></td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17222 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       NominatedYear NominatedMonth  gender          Id      month  year\n",
       "0               2005       December    male  14556103.0             2005\n",
       "2               2005       December    male   4227450.0             2005\n",
       "3               2005       December  female   3258728.0   November  2005\n",
       "4               2005       December  female   3087149.0   November  2005\n",
       "5               2005       December    male   3191175.0   November  2005\n",
       "6               2005       December    male   1884298.0        May  2005\n",
       "7               2005       December    male   3563211.0   December  2005\n",
       "8               2005       December  female   2721613.0  September  2005\n",
       "9               2005       December    male   3569216.0   December  2005\n",
       "11              2005       December    male   2110815.0       June  2005\n",
       "13              2007         August    male    433349.0             2007\n",
       "14              2010       February    male    433349.0             2010\n",
       "15              2005       December    male   3450950.0   December  2005\n",
       "16              2005       December    male  16152852.0             2005\n",
       "18              2005       December    male   5289926.0             2005\n",
       "19              2005       December    male   2008835.0       June  2005\n",
       "20              2005       December    male   3553850.0   December  2005\n",
       "21              2010            May    male   3553850.0             2010\n",
       "22              2005       December    male  21866874.0             2005\n",
       "23              2009          March    male  21866874.0             2009\n",
       "24              2009       February    male  21866874.0             2009\n",
       "25              2005       December    male   3848767.0             2005\n",
       "26              2005       December    male   3557832.0   December  2005\n",
       "27              2005        January    male   3557832.0   December  2005\n",
       "28              2005       December  female   3508434.0   December  2005\n",
       "29              2005       December    male   3417010.0    October  2005\n",
       "30              2005       December    male   3510521.0   December  2005\n",
       "31              2005       December    male   3510521.0   December  2005\n",
       "32              2005       December    male   3510521.0   December  2005\n",
       "33              2005       February    male   3510521.0   December  2005\n",
       "...              ...            ...     ...         ...        ...   ...\n",
       "22747           2013        January  female  38099982.0    January  2013\n",
       "22748           2012        January    male  37955879.0   December  2012\n",
       "22749           2013        January  female  38170894.0    January  2013\n",
       "22750           2012        January    male  37580399.0   November  2012\n",
       "22751           2012        January    male  38076943.0   December  2012\n",
       "22752           2013        January    male  38177935.0    January  2013\n",
       "22753           2012        January  female  37967596.0   December  2012\n",
       "22754           2013        January    male   1833432.0             2013\n",
       "22755           2013        January    male    230281.0             2013\n",
       "22756           2013        January    male   3027150.0             2013\n",
       "22758           2012        January    male  37931411.0   December  2012\n",
       "22760           2013        January    male  12924318.0             2013\n",
       "22762           2013        January    male   2476465.0             2013\n",
       "22763           2012        January    male  38042949.0   December  2012\n",
       "22764           2013        January    male   1235335.0             2013\n",
       "22765           2013        January    male    452673.0             2013\n",
       "22766           2012        January    male  37207134.0    October  2012\n",
       "22767           2013        January    male  11690074.0             2013\n",
       "22768           2013        January    male  39167294.0      April  2013\n",
       "22769           2013        January    male   6710453.0             2013\n",
       "22771           2013        January    male   8802704.0             2013\n",
       "22772           2013        January    male   4584756.0             2013\n",
       "22773           2012        January    male  38076908.0   December  2012\n",
       "22774           2013        January    male   6689909.0             2013\n",
       "22775           2013        January    male  32161826.0             2013\n",
       "22777           2013        January    male  38108420.0    January  2013\n",
       "22780           2013        January    male  11200200.0             2013\n",
       "22781           2012        January    male  37775364.0   November  2012\n",
       "22782           2013        January    male   9955045.0             2013\n",
       "22783           2013        January    male   6913398.0             2013\n",
       "\n",
       "[17222 rows x 6 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultEq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "years = ['2005','2006', '2007','2008', '2009', '2010', '2011', '2012', '2013']\n",
    "nominatedMen = []\n",
    "nominatedWomen = []\n",
    "cumulativeMen = []\n",
    "cumulativeWomen = []\n",
    "\n",
    "yearlySumM = 0\n",
    "nominatedSumM = 0\n",
    "yearlySumF = 0\n",
    "nominatedSumF = 0\n",
    "for year in years:\n",
    "    # How many articles of the respective genders were created at the respective year\n",
    "    yearXM = person[(person.year == year) & (person.gender == 'male')].shape[0]\n",
    "    yearXF = person[(person.year == year) & (person.gender == 'female')].shape[0]\n",
    "    # How many articles of the respective genders were nominated for deletion at the respective year\n",
    "    nominatedM = resultEq[(resultEq.NominatedYear == int(year)) & (resultEq.gender == 'male')].shape[0]\n",
    "    nominatedF = resultEq[(resultEq.NominatedYear == int(year)) & (resultEq.gender == 'female')].shape[0]\n",
    "    \n",
    "    nominatedMen.append(nominatedM*100/yearXM)\n",
    "    nominatedWomen.append(nominatedF*100/yearXF)\n",
    "    \n",
    "    yearlySumM += yearXM\n",
    "    yearlySumF += yearXF\n",
    "    nominatedSumM += result[(result.NominatedYear == int(year)) & (result.gender == 'male')].shape[0]\n",
    "    nominatedSumF += result[(result.NominatedYear == int(year)) & (result.gender == 'female')].shape[0]\n",
    "    cumulativeMen.append(nominatedSumM*100/yearlySumM)\n",
    "    cumulativeWomen.append(nominatedSumF*100/yearlySumF)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.534652806431433 % of articles about men were nominated for deletion on the year 0\n",
      "1.9236149972020145 % of articles about women were nominated for deletion on the year 0\n",
      "1.5733298923462615 % of articles about men were nominated for deletion on the year 1\n",
      "2.3769702498606256 % of articles about women were nominated for deletion on the year 1\n",
      "1.6782091153880547 % of articles about men were nominated for deletion on the year 2\n",
      "2.7041908840624043 % of articles about women were nominated for deletion on the year 2\n",
      "2.255892255892256 % of articles about men were nominated for deletion on the year 3\n",
      "3.596920923722883 % of articles about women were nominated for deletion on the year 3\n",
      "2.4853860380975523 % of articles about men were nominated for deletion on the year 4\n",
      "3.951391011922959 % of articles about women were nominated for deletion on the year 4\n",
      "2.8427288869712406 % of articles about men were nominated for deletion on the year 5\n",
      "4.874129619710766 % of articles about women were nominated for deletion on the year 5\n",
      "2.7397508987254438 % of articles about men were nominated for deletion on the year 6\n",
      "4.303477754031475 % of articles about women were nominated for deletion on the year 6\n",
      "2.427875285695804 % of articles about men were nominated for deletion on the year 7\n",
      "3.1751824817518246 % of articles about women were nominated for deletion on the year 7\n",
      "2.5144763343403826 % of articles about men were nominated for deletion on the year 8\n",
      "3.2169835894764263 % of articles about women were nominated for deletion on the year 8\n"
     ]
    }
   ],
   "source": [
    "for i in range(0, len(nominatedMen)):\n",
    "    print(nominatedMen[i],\"% of articles about men were nominated for deletion on the year\",i)\n",
    "    print(nominatedWomen[i],\"% of articles about women were nominated for deletion on the year\",i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average difference between men and women is 1.11895111087255 %\n"
     ]
    }
   ],
   "source": [
    "difSum = 0\n",
    "for i in range(0, len(nominatedMen)):\n",
    "    difSum+=nominatedWomen[i] - nominatedMen[i]\n",
    "print(\"The average difference between men and women is\",difSum/len(nominatedMen),\"%\")   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2619c7ee160>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(years, nominatedMen, label = 'Men')\n",
    "plt.plot(years, nominatedWomen, label = 'Women')\n",
    "plt.xlabel('Years')\n",
    "plt.ylabel('Nominated For Deletion (%)')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cumulative"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x261a4140e48>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(years, cumulativeMen, label = 'Men')\n",
    "plt.plot(years, cumulativeWomen, label = 'Women')\n",
    "plt.xlabel('Years')\n",
    "plt.ylabel('Cumulative')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Css - binder",
   "language": "python",
   "name": "cssresearch"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}