NB03-AfricaCovid19-DataProcessing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This notebook is for processing Data for Africa Covid-19 Digital Case Study"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# First We Process the Employment Data(Ratios)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Indicator Name</th>\n",
       "      <th>Indicator Code</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>Unnamed: 64</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>Employment to population ratio, 15+, male (%) ...</td>\n",
       "      <td>SL.EMP.TOTL.SP.MA.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Employment to population ratio, 15+, male (%) ...</td>\n",
       "      <td>SL.EMP.TOTL.SP.MA.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>69.787003</td>\n",
       "      <td>69.706001</td>\n",
       "      <td>69.089996</td>\n",
       "      <td>68.575996</td>\n",
       "      <td>68.056999</td>\n",
       "      <td>67.502998</td>\n",
       "      <td>66.950996</td>\n",
       "      <td>67.022003</td>\n",
       "      <td>66.945000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Employment to population ratio, 15+, male (%) ...</td>\n",
       "      <td>SL.EMP.TOTL.SP.MA.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>73.489998</td>\n",
       "      <td>73.565002</td>\n",
       "      <td>73.557999</td>\n",
       "      <td>73.624001</td>\n",
       "      <td>73.661003</td>\n",
       "      <td>73.684998</td>\n",
       "      <td>73.719002</td>\n",
       "      <td>73.682999</td>\n",
       "      <td>73.524002</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Employment to population ratio, 15+, male (%) ...</td>\n",
       "      <td>SL.EMP.TOTL.SP.MA.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>55.138000</td>\n",
       "      <td>54.834999</td>\n",
       "      <td>50.442001</td>\n",
       "      <td>50.556999</td>\n",
       "      <td>52.935001</td>\n",
       "      <td>54.289001</td>\n",
       "      <td>55.379002</td>\n",
       "      <td>56.227001</td>\n",
       "      <td>56.272999</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>Employment to population ratio, 15+, male (%) ...</td>\n",
       "      <td>SL.EMP.TOTL.SP.MA.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>XKX</td>\n",
       "      <td>Employment to population ratio, 15+, male (%) ...</td>\n",
       "      <td>SL.EMP.TOTL.SP.MA.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>Employment to population ratio, 15+, male (%) ...</td>\n",
       "      <td>SL.EMP.TOTL.SP.MA.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>60.129002</td>\n",
       "      <td>59.855000</td>\n",
       "      <td>59.522999</td>\n",
       "      <td>59.247002</td>\n",
       "      <td>59.919998</td>\n",
       "      <td>60.598999</td>\n",
       "      <td>61.199001</td>\n",
       "      <td>61.721001</td>\n",
       "      <td>61.820000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>Employment to population ratio, 15+, male (%) ...</td>\n",
       "      <td>SL.EMP.TOTL.SP.MA.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>46.401001</td>\n",
       "      <td>46.741001</td>\n",
       "      <td>46.879002</td>\n",
       "      <td>46.999001</td>\n",
       "      <td>47.999001</td>\n",
       "      <td>47.326000</td>\n",
       "      <td>47.195000</td>\n",
       "      <td>47.007000</td>\n",
       "      <td>46.189999</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>Employment to population ratio, 15+, male (%) ...</td>\n",
       "      <td>SL.EMP.TOTL.SP.MA.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>73.392998</td>\n",
       "      <td>74.777000</td>\n",
       "      <td>74.069000</td>\n",
       "      <td>73.388000</td>\n",
       "      <td>72.655998</td>\n",
       "      <td>71.875000</td>\n",
       "      <td>71.081001</td>\n",
       "      <td>70.797997</td>\n",
       "      <td>70.641998</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>Employment to population ratio, 15+, male (%) ...</td>\n",
       "      <td>SL.EMP.TOTL.SP.MA.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>84.347000</td>\n",
       "      <td>84.453003</td>\n",
       "      <td>84.649002</td>\n",
       "      <td>84.878998</td>\n",
       "      <td>84.987000</td>\n",
       "      <td>85.142998</td>\n",
       "      <td>85.138000</td>\n",
       "      <td>84.960999</td>\n",
       "      <td>85.047997</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>264 rows × 65 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Country Name Country Code  \\\n",
       "0           Aruba          ABW   \n",
       "1     Afghanistan          AFG   \n",
       "2          Angola          AGO   \n",
       "3         Albania          ALB   \n",
       "4         Andorra          AND   \n",
       "..            ...          ...   \n",
       "259        Kosovo          XKX   \n",
       "260   Yemen, Rep.          YEM   \n",
       "261  South Africa          ZAF   \n",
       "262        Zambia          ZMB   \n",
       "263      Zimbabwe          ZWE   \n",
       "\n",
       "                                        Indicator Name        Indicator Code  \\\n",
       "0    Employment to population ratio, 15+, male (%) ...  SL.EMP.TOTL.SP.MA.ZS   \n",
       "1    Employment to population ratio, 15+, male (%) ...  SL.EMP.TOTL.SP.MA.ZS   \n",
       "2    Employment to population ratio, 15+, male (%) ...  SL.EMP.TOTL.SP.MA.ZS   \n",
       "3    Employment to population ratio, 15+, male (%) ...  SL.EMP.TOTL.SP.MA.ZS   \n",
       "4    Employment to population ratio, 15+, male (%) ...  SL.EMP.TOTL.SP.MA.ZS   \n",
       "..                                                 ...                   ...   \n",
       "259  Employment to population ratio, 15+, male (%) ...  SL.EMP.TOTL.SP.MA.ZS   \n",
       "260  Employment to population ratio, 15+, male (%) ...  SL.EMP.TOTL.SP.MA.ZS   \n",
       "261  Employment to population ratio, 15+, male (%) ...  SL.EMP.TOTL.SP.MA.ZS   \n",
       "262  Employment to population ratio, 15+, male (%) ...  SL.EMP.TOTL.SP.MA.ZS   \n",
       "263  Employment to population ratio, 15+, male (%) ...  SL.EMP.TOTL.SP.MA.ZS   \n",
       "\n",
       "     1960  1961  1962  1963  1964  1965  ...       2011       2012       2013  \\\n",
       "0     NaN   NaN   NaN   NaN   NaN   NaN  ...        NaN        NaN        NaN   \n",
       "1     NaN   NaN   NaN   NaN   NaN   NaN  ...  69.787003  69.706001  69.089996   \n",
       "2     NaN   NaN   NaN   NaN   NaN   NaN  ...  73.489998  73.565002  73.557999   \n",
       "3     NaN   NaN   NaN   NaN   NaN   NaN  ...  55.138000  54.834999  50.442001   \n",
       "4     NaN   NaN   NaN   NaN   NaN   NaN  ...        NaN        NaN        NaN   \n",
       "..    ...   ...   ...   ...   ...   ...  ...        ...        ...        ...   \n",
       "259   NaN   NaN   NaN   NaN   NaN   NaN  ...        NaN        NaN        NaN   \n",
       "260   NaN   NaN   NaN   NaN   NaN   NaN  ...  60.129002  59.855000  59.522999   \n",
       "261   NaN   NaN   NaN   NaN   NaN   NaN  ...  46.401001  46.741001  46.879002   \n",
       "262   NaN   NaN   NaN   NaN   NaN   NaN  ...  73.392998  74.777000  74.069000   \n",
       "263   NaN   NaN   NaN   NaN   NaN   NaN  ...  84.347000  84.453003  84.649002   \n",
       "\n",
       "          2014       2015       2016       2017       2018       2019  \\\n",
       "0          NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "1    68.575996  68.056999  67.502998  66.950996  67.022003  66.945000   \n",
       "2    73.624001  73.661003  73.684998  73.719002  73.682999  73.524002   \n",
       "3    50.556999  52.935001  54.289001  55.379002  56.227001  56.272999   \n",
       "4          NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "..         ...        ...        ...        ...        ...        ...   \n",
       "259        NaN        NaN        NaN        NaN        NaN        NaN   \n",
       "260  59.247002  59.919998  60.598999  61.199001  61.721001  61.820000   \n",
       "261  46.999001  47.999001  47.326000  47.195000  47.007000  46.189999   \n",
       "262  73.388000  72.655998  71.875000  71.081001  70.797997  70.641998   \n",
       "263  84.878998  84.987000  85.142998  85.138000  84.960999  85.047997   \n",
       "\n",
       "     Unnamed: 64  \n",
       "0            NaN  \n",
       "1            NaN  \n",
       "2            NaN  \n",
       "3            NaN  \n",
       "4            NaN  \n",
       "..           ...  \n",
       "259          NaN  \n",
       "260          NaN  \n",
       "261          NaN  \n",
       "262          NaN  \n",
       "263          NaN  \n",
       "\n",
       "[264 rows x 65 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# import pandas \n",
    "import pandas as pd\n",
    "#read the employment data\n",
    "empdf1 = pd.read_csv('data/API_SL.EMP.TOTL.SP.MA.ZS_DS2_en_csv_v2_1070219.csv', skiprows = 3)\n",
    "empdf1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop Columns\n",
    "empdf1.drop(['Indicator Name', 'Indicator Code', '1960', '1961', '1962', '1963', '1963', '1964', '1965', '1965', '1966', '1967', '1968', '1969', '1970', '1971', '1972', '1973', '1974', '1975', '1976', '1977', '1978', '1979', '1980', '1981', '1982', '1983', '1984', '1985', '1986', '1987', '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2019', 'Unnamed: 64'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>69.871002</td>\n",
       "      <td>69.787003</td>\n",
       "      <td>69.706001</td>\n",
       "      <td>69.089996</td>\n",
       "      <td>68.575996</td>\n",
       "      <td>68.056999</td>\n",
       "      <td>67.502998</td>\n",
       "      <td>66.950996</td>\n",
       "      <td>67.022003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>72.602997</td>\n",
       "      <td>73.489998</td>\n",
       "      <td>73.565002</td>\n",
       "      <td>73.557999</td>\n",
       "      <td>73.624001</td>\n",
       "      <td>73.661003</td>\n",
       "      <td>73.684998</td>\n",
       "      <td>73.719002</td>\n",
       "      <td>73.682999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>54.867001</td>\n",
       "      <td>55.138000</td>\n",
       "      <td>54.834999</td>\n",
       "      <td>50.442001</td>\n",
       "      <td>50.556999</td>\n",
       "      <td>52.935001</td>\n",
       "      <td>54.289001</td>\n",
       "      <td>55.379002</td>\n",
       "      <td>56.227001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>XKX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>60.563000</td>\n",
       "      <td>60.129002</td>\n",
       "      <td>59.855000</td>\n",
       "      <td>59.522999</td>\n",
       "      <td>59.247002</td>\n",
       "      <td>59.919998</td>\n",
       "      <td>60.598999</td>\n",
       "      <td>61.199001</td>\n",
       "      <td>61.721001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>46.606998</td>\n",
       "      <td>46.401001</td>\n",
       "      <td>46.741001</td>\n",
       "      <td>46.879002</td>\n",
       "      <td>46.999001</td>\n",
       "      <td>47.999001</td>\n",
       "      <td>47.326000</td>\n",
       "      <td>47.195000</td>\n",
       "      <td>47.007000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>71.708000</td>\n",
       "      <td>73.392998</td>\n",
       "      <td>74.777000</td>\n",
       "      <td>74.069000</td>\n",
       "      <td>73.388000</td>\n",
       "      <td>72.655998</td>\n",
       "      <td>71.875000</td>\n",
       "      <td>71.081001</td>\n",
       "      <td>70.797997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>84.356003</td>\n",
       "      <td>84.347000</td>\n",
       "      <td>84.453003</td>\n",
       "      <td>84.649002</td>\n",
       "      <td>84.878998</td>\n",
       "      <td>84.987000</td>\n",
       "      <td>85.142998</td>\n",
       "      <td>85.138000</td>\n",
       "      <td>84.960999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>264 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Country Name Country Code       2010       2011       2012       2013  \\\n",
       "0           Aruba          ABW        NaN        NaN        NaN        NaN   \n",
       "1     Afghanistan          AFG  69.871002  69.787003  69.706001  69.089996   \n",
       "2          Angola          AGO  72.602997  73.489998  73.565002  73.557999   \n",
       "3         Albania          ALB  54.867001  55.138000  54.834999  50.442001   \n",
       "4         Andorra          AND        NaN        NaN        NaN        NaN   \n",
       "..            ...          ...        ...        ...        ...        ...   \n",
       "259        Kosovo          XKX        NaN        NaN        NaN        NaN   \n",
       "260   Yemen, Rep.          YEM  60.563000  60.129002  59.855000  59.522999   \n",
       "261  South Africa          ZAF  46.606998  46.401001  46.741001  46.879002   \n",
       "262        Zambia          ZMB  71.708000  73.392998  74.777000  74.069000   \n",
       "263      Zimbabwe          ZWE  84.356003  84.347000  84.453003  84.649002   \n",
       "\n",
       "          2014       2015       2016       2017       2018  \n",
       "0          NaN        NaN        NaN        NaN        NaN  \n",
       "1    68.575996  68.056999  67.502998  66.950996  67.022003  \n",
       "2    73.624001  73.661003  73.684998  73.719002  73.682999  \n",
       "3    50.556999  52.935001  54.289001  55.379002  56.227001  \n",
       "4          NaN        NaN        NaN        NaN        NaN  \n",
       "..         ...        ...        ...        ...        ...  \n",
       "259        NaN        NaN        NaN        NaN        NaN  \n",
       "260  59.247002  59.919998  60.598999  61.199001  61.721001  \n",
       "261  46.999001  47.999001  47.326000  47.195000  47.007000  \n",
       "262  73.388000  72.655998  71.875000  71.081001  70.797997  \n",
       "263  84.878998  84.987000  85.142998  85.138000  84.960999  \n",
       "\n",
       "[264 rows x 11 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show the output\n",
    "empdf1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>2010</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>2010</td>\n",
       "      <td>69.871002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>2010</td>\n",
       "      <td>72.602997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>2010</td>\n",
       "      <td>54.867001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>2010</td>\n",
       "      <td>NaN</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>2371</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>XKX</td>\n",
       "      <td>2018</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2372</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>2018</td>\n",
       "      <td>61.721001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2373</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>2018</td>\n",
       "      <td>47.007000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2374</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>2018</td>\n",
       "      <td>70.797997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2375</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2018</td>\n",
       "      <td>84.960999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2376 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country Name Country Code variable      value\n",
       "0            Aruba          ABW     2010        NaN\n",
       "1      Afghanistan          AFG     2010  69.871002\n",
       "2           Angola          AGO     2010  72.602997\n",
       "3          Albania          ALB     2010  54.867001\n",
       "4          Andorra          AND     2010        NaN\n",
       "...            ...          ...      ...        ...\n",
       "2371        Kosovo          XKX     2018        NaN\n",
       "2372   Yemen, Rep.          YEM     2018  61.721001\n",
       "2373  South Africa          ZAF     2018  47.007000\n",
       "2374        Zambia          ZMB     2018  70.797997\n",
       "2375      Zimbabwe          ZWE     2018  84.960999\n",
       "\n",
       "[2376 rows x 4 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use the melt function to make the Country Name and Code the Variables\n",
    "empdf = empdf1.melt(id_vars=['Country Name', 'Country Code'])\n",
    "empdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "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>Country_Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>year</th>\n",
       "      <th>emp_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>2010</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>2010</td>\n",
       "      <td>69.871002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>2010</td>\n",
       "      <td>72.602997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>2010</td>\n",
       "      <td>54.867001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>2010</td>\n",
       "      <td>NaN</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>2371</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>XKX</td>\n",
       "      <td>2018</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2372</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>2018</td>\n",
       "      <td>61.721001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2373</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>2018</td>\n",
       "      <td>47.007000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2374</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>2018</td>\n",
       "      <td>70.797997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2375</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2018</td>\n",
       "      <td>84.960999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2376 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country_Name Country Code  year   emp_rate\n",
       "0            Aruba          ABW  2010        NaN\n",
       "1      Afghanistan          AFG  2010  69.871002\n",
       "2           Angola          AGO  2010  72.602997\n",
       "3          Albania          ALB  2010  54.867001\n",
       "4          Andorra          AND  2010        NaN\n",
       "...            ...          ...   ...        ...\n",
       "2371        Kosovo          XKX  2018        NaN\n",
       "2372   Yemen, Rep.          YEM  2018  61.721001\n",
       "2373  South Africa          ZAF  2018  47.007000\n",
       "2374        Zambia          ZMB  2018  70.797997\n",
       "2375      Zimbabwe          ZWE  2018  84.960999\n",
       "\n",
       "[2376 rows x 4 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rename Columns\n",
    "empdf.rename(columns={'variable':'year', 'value':'emp_rate', 'Country Name':'Country_Name'},inplace=True)\n",
    "empdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Aruba', 'Afghanistan', 'Angola', 'Albania', 'Andorra',\n",
       "       'Arab World', 'United Arab Emirates', 'Argentina', 'Armenia',\n",
       "       'American Samoa', 'Antigua and Barbuda', 'Australia', 'Austria',\n",
       "       'Azerbaijan', 'Burundi', 'Belgium', 'Benin', 'Burkina Faso',\n",
       "       'Bangladesh', 'Bulgaria', 'Bahrain', 'Bahamas, The',\n",
       "       'Bosnia and Herzegovina', 'Belarus', 'Belize', 'Bermuda',\n",
       "       'Bolivia', 'Brazil', 'Barbados', 'Brunei Darussalam', 'Bhutan',\n",
       "       'Botswana', 'Central African Republic', 'Canada',\n",
       "       'Central Europe and the Baltics', 'Switzerland', 'Channel Islands',\n",
       "       'Chile', 'China', \"Cote d'Ivoire\", 'Cameroon', 'Congo, Dem. Rep.',\n",
       "       'Congo, Rep.', 'Colombia', 'Comoros', 'Cabo Verde', 'Costa Rica',\n",
       "       'Caribbean small states', 'Cuba', 'Curacao', 'Cayman Islands',\n",
       "       'Cyprus', 'Czech Republic', 'Germany', 'Djibouti', 'Dominica',\n",
       "       'Denmark', 'Dominican Republic', 'Algeria',\n",
       "       'East Asia & Pacific (excluding high income)',\n",
       "       'Early-demographic dividend', 'East Asia & Pacific',\n",
       "       'Europe & Central Asia (excluding high income)',\n",
       "       'Europe & Central Asia', 'Ecuador', 'Egypt, Arab Rep.',\n",
       "       'Euro area', 'Eritrea', 'Spain', 'Estonia', 'Ethiopia',\n",
       "       'European Union', 'Fragile and conflict affected situations',\n",
       "       'Finland', 'Fiji', 'France', 'Faroe Islands',\n",
       "       'Micronesia, Fed. Sts.', 'Gabon', 'United Kingdom', 'Georgia',\n",
       "       'Ghana', 'Gibraltar', 'Guinea', 'Gambia, The', 'Guinea-Bissau',\n",
       "       'Equatorial Guinea', 'Greece', 'Grenada', 'Greenland', 'Guatemala',\n",
       "       'Guam', 'Guyana', 'High income', 'Hong Kong SAR, China',\n",
       "       'Honduras', 'Heavily indebted poor countries (HIPC)', 'Croatia',\n",
       "       'Haiti', 'Hungary', 'IBRD only', 'IDA & IBRD total', 'IDA total',\n",
       "       'IDA blend', 'Indonesia', 'IDA only', 'Isle of Man', 'India',\n",
       "       'Not classified', 'Ireland', 'Iran, Islamic Rep.', 'Iraq',\n",
       "       'Iceland', 'Israel', 'Italy', 'Jamaica', 'Jordan', 'Japan',\n",
       "       'Kazakhstan', 'Kenya', 'Kyrgyz Republic', 'Cambodia', 'Kiribati',\n",
       "       'St. Kitts and Nevis', 'Korea, Rep.', 'Kuwait',\n",
       "       'Latin America & Caribbean (excluding high income)', 'Lao PDR',\n",
       "       'Lebanon', 'Liberia', 'Libya', 'St. Lucia',\n",
       "       'Latin America & Caribbean',\n",
       "       'Least developed countries: UN classification', 'Low income',\n",
       "       'Liechtenstein', 'Sri Lanka', 'Lower middle income',\n",
       "       'Low & middle income', 'Lesotho', 'Late-demographic dividend',\n",
       "       'Lithuania', 'Luxembourg', 'Latvia', 'Macao SAR, China',\n",
       "       'St. Martin (French part)', 'Morocco', 'Monaco', 'Moldova',\n",
       "       'Madagascar', 'Maldives', 'Middle East & North Africa', 'Mexico',\n",
       "       'Marshall Islands', 'Middle income', 'North Macedonia', 'Mali',\n",
       "       'Malta', 'Myanmar',\n",
       "       'Middle East & North Africa (excluding high income)', 'Montenegro',\n",
       "       'Mongolia', 'Northern Mariana Islands', 'Mozambique', 'Mauritania',\n",
       "       'Mauritius', 'Malawi', 'Malaysia', 'North America', 'Namibia',\n",
       "       'New Caledonia', 'Niger', 'Nigeria', 'Nicaragua', 'Netherlands',\n",
       "       'Norway', 'Nepal', 'Nauru', 'New Zealand', 'OECD members', 'Oman',\n",
       "       'Other small states', 'Pakistan', 'Panama', 'Peru', 'Philippines',\n",
       "       'Palau', 'Papua New Guinea', 'Poland', 'Pre-demographic dividend',\n",
       "       'Puerto Rico', 'Korea, Dem. People’s Rep.', 'Portugal', 'Paraguay',\n",
       "       'West Bank and Gaza', 'Pacific island small states',\n",
       "       'Post-demographic dividend', 'French Polynesia', 'Qatar',\n",
       "       'Romania', 'Russian Federation', 'Rwanda', 'South Asia',\n",
       "       'Saudi Arabia', 'Sudan', 'Senegal', 'Singapore', 'Solomon Islands',\n",
       "       'Sierra Leone', 'El Salvador', 'San Marino', 'Somalia', 'Serbia',\n",
       "       'Sub-Saharan Africa (excluding high income)', 'South Sudan',\n",
       "       'Sub-Saharan Africa', 'Small states', 'Sao Tome and Principe',\n",
       "       'Suriname', 'Slovak Republic', 'Slovenia', 'Sweden', 'Eswatini',\n",
       "       'Sint Maarten (Dutch part)', 'Seychelles', 'Syrian Arab Republic',\n",
       "       'Turks and Caicos Islands', 'Chad',\n",
       "       'East Asia & Pacific (IDA & IBRD countries)',\n",
       "       'Europe & Central Asia (IDA & IBRD countries)', 'Togo', 'Thailand',\n",
       "       'Tajikistan', 'Turkmenistan',\n",
       "       'Latin America & the Caribbean (IDA & IBRD countries)',\n",
       "       'Timor-Leste', 'Middle East & North Africa (IDA & IBRD countries)',\n",
       "       'Tonga', 'South Asia (IDA & IBRD)',\n",
       "       'Sub-Saharan Africa (IDA & IBRD countries)', 'Trinidad and Tobago',\n",
       "       'Tunisia', 'Turkey', 'Tuvalu', 'Tanzania', 'Uganda', 'Ukraine',\n",
       "       'Upper middle income', 'Uruguay', 'United States', 'Uzbekistan',\n",
       "       'St. Vincent and the Grenadines', 'Venezuela, RB',\n",
       "       'British Virgin Islands', 'Virgin Islands (U.S.)', 'Vietnam',\n",
       "       'Vanuatu', 'World', 'Samoa', 'Kosovo', 'Yemen, Rep.',\n",
       "       'South Africa', 'Zambia', 'Zimbabwe'], dtype=object)"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "empdf.Country_Name.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "empdf.loc[empdf['Country_Name']=='Congo, Dem. Rep.', 'Country_Name'] = 'Dem Rep Congo'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pickle dataframe so that it can be used later in other notebooks\n",
    "empdf.to_pickle(\"data/empdf_pickle.pkl\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now we read the GDP data( GDP per capita)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Indicator Name</th>\n",
       "      <th>Indicator Code</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>Unnamed: 64</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>GDP per capita (current US$)</td>\n",
       "      <td>NY.GDP.PCAP.CD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>24985.993281</td>\n",
       "      <td>24713.698045</td>\n",
       "      <td>25025.099563</td>\n",
       "      <td>25533.569780</td>\n",
       "      <td>25796.380251</td>\n",
       "      <td>25239.600411</td>\n",
       "      <td>25630.266492</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>GDP per capita (current US$)</td>\n",
       "      <td>NY.GDP.PCAP.CD</td>\n",
       "      <td>59.773194</td>\n",
       "      <td>59.860874</td>\n",
       "      <td>58.458015</td>\n",
       "      <td>78.706388</td>\n",
       "      <td>82.095231</td>\n",
       "      <td>101.108305</td>\n",
       "      <td>...</td>\n",
       "      <td>591.162346</td>\n",
       "      <td>641.872034</td>\n",
       "      <td>637.165044</td>\n",
       "      <td>613.856333</td>\n",
       "      <td>578.466353</td>\n",
       "      <td>547.228110</td>\n",
       "      <td>556.302139</td>\n",
       "      <td>520.896603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>GDP per capita (current US$)</td>\n",
       "      <td>NY.GDP.PCAP.CD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4615.468028</td>\n",
       "      <td>5100.095808</td>\n",
       "      <td>5254.882338</td>\n",
       "      <td>5408.410496</td>\n",
       "      <td>4166.979684</td>\n",
       "      <td>3506.072885</td>\n",
       "      <td>4095.812942</td>\n",
       "      <td>3432.385736</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>GDP per capita (current US$)</td>\n",
       "      <td>NY.GDP.PCAP.CD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4437.178067</td>\n",
       "      <td>4247.614279</td>\n",
       "      <td>4413.081743</td>\n",
       "      <td>4578.666720</td>\n",
       "      <td>3952.829458</td>\n",
       "      <td>4124.108907</td>\n",
       "      <td>4532.890162</td>\n",
       "      <td>5268.848504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>GDP per capita (current US$)</td>\n",
       "      <td>NY.GDP.PCAP.CD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>41100.729938</td>\n",
       "      <td>38392.943901</td>\n",
       "      <td>40626.751632</td>\n",
       "      <td>42300.334128</td>\n",
       "      <td>36039.653496</td>\n",
       "      <td>37224.108916</td>\n",
       "      <td>39134.393371</td>\n",
       "      <td>42029.762737</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>XKX</td>\n",
       "      <td>GDP per capita (current US$)</td>\n",
       "      <td>NY.GDP.PCAP.CD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3736.700833</td>\n",
       "      <td>3600.575965</td>\n",
       "      <td>3876.970676</td>\n",
       "      <td>4054.716970</td>\n",
       "      <td>3574.241120</td>\n",
       "      <td>3697.129595</td>\n",
       "      <td>3948.052670</td>\n",
       "      <td>4302.276483</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>GDP per capita (current US$)</td>\n",
       "      <td>NY.GDP.PCAP.CD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1374.621313</td>\n",
       "      <td>1446.536280</td>\n",
       "      <td>1607.152275</td>\n",
       "      <td>1674.002766</td>\n",
       "      <td>1608.744312</td>\n",
       "      <td>1139.870568</td>\n",
       "      <td>963.494721</td>\n",
       "      <td>944.408499</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>GDP per capita (current US$)</td>\n",
       "      <td>NY.GDP.PCAP.CD</td>\n",
       "      <td>443.009816</td>\n",
       "      <td>454.962013</td>\n",
       "      <td>473.011615</td>\n",
       "      <td>511.497253</td>\n",
       "      <td>548.995942</td>\n",
       "      <td>584.704072</td>\n",
       "      <td>...</td>\n",
       "      <td>8007.412846</td>\n",
       "      <td>7501.469984</td>\n",
       "      <td>6832.456891</td>\n",
       "      <td>6433.187277</td>\n",
       "      <td>5734.633629</td>\n",
       "      <td>5272.918425</td>\n",
       "      <td>6132.479841</td>\n",
       "      <td>6374.028196</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>GDP per capita (current US$)</td>\n",
       "      <td>NY.GDP.PCAP.CD</td>\n",
       "      <td>232.188867</td>\n",
       "      <td>220.042137</td>\n",
       "      <td>212.578123</td>\n",
       "      <td>213.896441</td>\n",
       "      <td>242.384333</td>\n",
       "      <td>303.281910</td>\n",
       "      <td>...</td>\n",
       "      <td>1672.949830</td>\n",
       "      <td>1763.094184</td>\n",
       "      <td>1878.903489</td>\n",
       "      <td>1763.056239</td>\n",
       "      <td>1337.796315</td>\n",
       "      <td>1280.578447</td>\n",
       "      <td>1534.865371</td>\n",
       "      <td>1539.900158</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>GDP per capita (current US$)</td>\n",
       "      <td>NY.GDP.PCAP.CD</td>\n",
       "      <td>278.813699</td>\n",
       "      <td>280.828951</td>\n",
       "      <td>276.688781</td>\n",
       "      <td>277.479715</td>\n",
       "      <td>281.558440</td>\n",
       "      <td>293.308854</td>\n",
       "      <td>...</td>\n",
       "      <td>1093.654002</td>\n",
       "      <td>1304.969802</td>\n",
       "      <td>1430.000818</td>\n",
       "      <td>1434.899340</td>\n",
       "      <td>1445.071062</td>\n",
       "      <td>1464.583529</td>\n",
       "      <td>1602.403507</td>\n",
       "      <td>2146.996385</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>264 rows × 65 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Country Name Country Code                Indicator Name  Indicator Code  \\\n",
       "0           Aruba          ABW  GDP per capita (current US$)  NY.GDP.PCAP.CD   \n",
       "1     Afghanistan          AFG  GDP per capita (current US$)  NY.GDP.PCAP.CD   \n",
       "2          Angola          AGO  GDP per capita (current US$)  NY.GDP.PCAP.CD   \n",
       "3         Albania          ALB  GDP per capita (current US$)  NY.GDP.PCAP.CD   \n",
       "4         Andorra          AND  GDP per capita (current US$)  NY.GDP.PCAP.CD   \n",
       "..            ...          ...                           ...             ...   \n",
       "259        Kosovo          XKX  GDP per capita (current US$)  NY.GDP.PCAP.CD   \n",
       "260   Yemen, Rep.          YEM  GDP per capita (current US$)  NY.GDP.PCAP.CD   \n",
       "261  South Africa          ZAF  GDP per capita (current US$)  NY.GDP.PCAP.CD   \n",
       "262        Zambia          ZMB  GDP per capita (current US$)  NY.GDP.PCAP.CD   \n",
       "263      Zimbabwe          ZWE  GDP per capita (current US$)  NY.GDP.PCAP.CD   \n",
       "\n",
       "           1960        1961        1962        1963        1964        1965  \\\n",
       "0           NaN         NaN         NaN         NaN         NaN         NaN   \n",
       "1     59.773194   59.860874   58.458015   78.706388   82.095231  101.108305   \n",
       "2           NaN         NaN         NaN         NaN         NaN         NaN   \n",
       "3           NaN         NaN         NaN         NaN         NaN         NaN   \n",
       "4           NaN         NaN         NaN         NaN         NaN         NaN   \n",
       "..          ...         ...         ...         ...         ...         ...   \n",
       "259         NaN         NaN         NaN         NaN         NaN         NaN   \n",
       "260         NaN         NaN         NaN         NaN         NaN         NaN   \n",
       "261  443.009816  454.962013  473.011615  511.497253  548.995942  584.704072   \n",
       "262  232.188867  220.042137  212.578123  213.896441  242.384333  303.281910   \n",
       "263  278.813699  280.828951  276.688781  277.479715  281.558440  293.308854   \n",
       "\n",
       "     ...          2011          2012          2013          2014  \\\n",
       "0    ...  24985.993281  24713.698045  25025.099563  25533.569780   \n",
       "1    ...    591.162346    641.872034    637.165044    613.856333   \n",
       "2    ...   4615.468028   5100.095808   5254.882338   5408.410496   \n",
       "3    ...   4437.178067   4247.614279   4413.081743   4578.666720   \n",
       "4    ...  41100.729938  38392.943901  40626.751632  42300.334128   \n",
       "..   ...           ...           ...           ...           ...   \n",
       "259  ...   3736.700833   3600.575965   3876.970676   4054.716970   \n",
       "260  ...   1374.621313   1446.536280   1607.152275   1674.002766   \n",
       "261  ...   8007.412846   7501.469984   6832.456891   6433.187277   \n",
       "262  ...   1672.949830   1763.094184   1878.903489   1763.056239   \n",
       "263  ...   1093.654002   1304.969802   1430.000818   1434.899340   \n",
       "\n",
       "             2015          2016          2017          2018  2019  Unnamed: 64  \n",
       "0    25796.380251  25239.600411  25630.266492           NaN   NaN          NaN  \n",
       "1      578.466353    547.228110    556.302139    520.896603   NaN          NaN  \n",
       "2     4166.979684   3506.072885   4095.812942   3432.385736   NaN          NaN  \n",
       "3     3952.829458   4124.108907   4532.890162   5268.848504   NaN          NaN  \n",
       "4    36039.653496  37224.108916  39134.393371  42029.762737   NaN          NaN  \n",
       "..            ...           ...           ...           ...   ...          ...  \n",
       "259   3574.241120   3697.129595   3948.052670   4302.276483   NaN          NaN  \n",
       "260   1608.744312   1139.870568    963.494721    944.408499   NaN          NaN  \n",
       "261   5734.633629   5272.918425   6132.479841   6374.028196   NaN          NaN  \n",
       "262   1337.796315   1280.578447   1534.865371   1539.900158   NaN          NaN  \n",
       "263   1445.071062   1464.583529   1602.403507   2146.996385   NaN          NaN  \n",
       "\n",
       "[264 rows x 65 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "rawgdp = pd.read_csv('data/API_NY.GDP.PCAP.CD_DS2_en_csv_v2_1068945.csv', skiprows = 3)\n",
    "rawgdp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop Columns\n",
    "rawgdp.drop(['Indicator Name', 'Indicator Code', '1960', '1961', '1962', '1963', '1963', '1964', '1965', '1965', '1966', '1967', '1968', '1969', '1970', '1971', '1972', '1973', '1974', '1975', '1976', '1977', '1978', '1979', '1980', '1981', '1982', '1983', '1984', '1985', '1986', '1987', '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2019', 'Unnamed: 64'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
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       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
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       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>23512.602596</td>\n",
       "      <td>24985.993281</td>\n",
       "      <td>24713.698045</td>\n",
       "      <td>25025.099563</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>543.303042</td>\n",
       "      <td>591.162346</td>\n",
       "      <td>641.872034</td>\n",
       "      <td>637.165044</td>\n",
       "      <td>613.856333</td>\n",
       "      <td>578.466353</td>\n",
       "      <td>547.228110</td>\n",
       "      <td>556.302139</td>\n",
       "      <td>520.896603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>3587.883798</td>\n",
       "      <td>4615.468028</td>\n",
       "      <td>5100.095808</td>\n",
       "      <td>5254.882338</td>\n",
       "      <td>5408.410496</td>\n",
       "      <td>4166.979684</td>\n",
       "      <td>3506.072885</td>\n",
       "      <td>4095.812942</td>\n",
       "      <td>3432.385736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>4094.362119</td>\n",
       "      <td>4437.178067</td>\n",
       "      <td>4247.614279</td>\n",
       "      <td>4413.081743</td>\n",
       "      <td>4578.666720</td>\n",
       "      <td>3952.829458</td>\n",
       "      <td>4124.108907</td>\n",
       "      <td>4532.890162</td>\n",
       "      <td>5268.848504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>39736.354063</td>\n",
       "      <td>41100.729938</td>\n",
       "      <td>38392.943901</td>\n",
       "      <td>40626.751632</td>\n",
       "      <td>42300.334128</td>\n",
       "      <td>36039.653496</td>\n",
       "      <td>37224.108916</td>\n",
       "      <td>39134.393371</td>\n",
       "      <td>42029.762737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>XKX</td>\n",
       "      <td>3283.483451</td>\n",
       "      <td>3736.700833</td>\n",
       "      <td>3600.575965</td>\n",
       "      <td>3876.970676</td>\n",
       "      <td>4054.716970</td>\n",
       "      <td>3574.241120</td>\n",
       "      <td>3697.129595</td>\n",
       "      <td>3948.052670</td>\n",
       "      <td>4302.276483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>1334.784845</td>\n",
       "      <td>1374.621313</td>\n",
       "      <td>1446.536280</td>\n",
       "      <td>1607.152275</td>\n",
       "      <td>1674.002766</td>\n",
       "      <td>1608.744312</td>\n",
       "      <td>1139.870568</td>\n",
       "      <td>963.494721</td>\n",
       "      <td>944.408499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>7328.615629</td>\n",
       "      <td>8007.412846</td>\n",
       "      <td>7501.469984</td>\n",
       "      <td>6832.456891</td>\n",
       "      <td>6433.187277</td>\n",
       "      <td>5734.633629</td>\n",
       "      <td>5272.918425</td>\n",
       "      <td>6132.479841</td>\n",
       "      <td>6374.028196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>1489.459070</td>\n",
       "      <td>1672.949830</td>\n",
       "      <td>1763.094184</td>\n",
       "      <td>1878.903489</td>\n",
       "      <td>1763.056239</td>\n",
       "      <td>1337.796315</td>\n",
       "      <td>1280.578447</td>\n",
       "      <td>1534.865371</td>\n",
       "      <td>1539.900158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>948.331854</td>\n",
       "      <td>1093.654002</td>\n",
       "      <td>1304.969802</td>\n",
       "      <td>1430.000818</td>\n",
       "      <td>1434.899340</td>\n",
       "      <td>1445.071062</td>\n",
       "      <td>1464.583529</td>\n",
       "      <td>1602.403507</td>\n",
       "      <td>2146.996385</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>264 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Country Name Country Code          2010          2011          2012  \\\n",
       "0           Aruba          ABW  23512.602596  24985.993281  24713.698045   \n",
       "1     Afghanistan          AFG    543.303042    591.162346    641.872034   \n",
       "2          Angola          AGO   3587.883798   4615.468028   5100.095808   \n",
       "3         Albania          ALB   4094.362119   4437.178067   4247.614279   \n",
       "4         Andorra          AND  39736.354063  41100.729938  38392.943901   \n",
       "..            ...          ...           ...           ...           ...   \n",
       "259        Kosovo          XKX   3283.483451   3736.700833   3600.575965   \n",
       "260   Yemen, Rep.          YEM   1334.784845   1374.621313   1446.536280   \n",
       "261  South Africa          ZAF   7328.615629   8007.412846   7501.469984   \n",
       "262        Zambia          ZMB   1489.459070   1672.949830   1763.094184   \n",
       "263      Zimbabwe          ZWE    948.331854   1093.654002   1304.969802   \n",
       "\n",
       "             2013          2014          2015          2016          2017  \\\n",
       "0    25025.099563  25533.569780  25796.380251  25239.600411  25630.266492   \n",
       "1      637.165044    613.856333    578.466353    547.228110    556.302139   \n",
       "2     5254.882338   5408.410496   4166.979684   3506.072885   4095.812942   \n",
       "3     4413.081743   4578.666720   3952.829458   4124.108907   4532.890162   \n",
       "4    40626.751632  42300.334128  36039.653496  37224.108916  39134.393371   \n",
       "..            ...           ...           ...           ...           ...   \n",
       "259   3876.970676   4054.716970   3574.241120   3697.129595   3948.052670   \n",
       "260   1607.152275   1674.002766   1608.744312   1139.870568    963.494721   \n",
       "261   6832.456891   6433.187277   5734.633629   5272.918425   6132.479841   \n",
       "262   1878.903489   1763.056239   1337.796315   1280.578447   1534.865371   \n",
       "263   1430.000818   1434.899340   1445.071062   1464.583529   1602.403507   \n",
       "\n",
       "             2018  \n",
       "0             NaN  \n",
       "1      520.896603  \n",
       "2     3432.385736  \n",
       "3     5268.848504  \n",
       "4    42029.762737  \n",
       "..            ...  \n",
       "259   4302.276483  \n",
       "260    944.408499  \n",
       "261   6374.028196  \n",
       "262   1539.900158  \n",
       "263   2146.996385  \n",
       "\n",
       "[264 rows x 11 columns]"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawgdp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdpdf = rawgdp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>2010</td>\n",
       "      <td>23512.602596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>2010</td>\n",
       "      <td>543.303042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>2010</td>\n",
       "      <td>3587.883798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>2010</td>\n",
       "      <td>4094.362119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>2010</td>\n",
       "      <td>39736.354063</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>2371</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>XKX</td>\n",
       "      <td>2018</td>\n",
       "      <td>4302.276483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2372</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>2018</td>\n",
       "      <td>944.408499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2373</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>2018</td>\n",
       "      <td>6374.028196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2374</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>2018</td>\n",
       "      <td>1539.900158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2375</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2018</td>\n",
       "      <td>2146.996385</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2376 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country Name Country Code variable         value\n",
       "0            Aruba          ABW     2010  23512.602596\n",
       "1      Afghanistan          AFG     2010    543.303042\n",
       "2           Angola          AGO     2010   3587.883798\n",
       "3          Albania          ALB     2010   4094.362119\n",
       "4          Andorra          AND     2010  39736.354063\n",
       "...            ...          ...      ...           ...\n",
       "2371        Kosovo          XKX     2018   4302.276483\n",
       "2372   Yemen, Rep.          YEM     2018    944.408499\n",
       "2373  South Africa          ZAF     2018   6374.028196\n",
       "2374        Zambia          ZMB     2018   1539.900158\n",
       "2375      Zimbabwe          ZWE     2018   2146.996385\n",
       "\n",
       "[2376 rows x 4 columns]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdpdf = pd.melt(gdpdf, id_vars=['Country Name','Country Code'])\n",
    "gdpdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country_Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>year</th>\n",
       "      <th>GDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>2010</td>\n",
       "      <td>23512.602596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>2010</td>\n",
       "      <td>543.303042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>2010</td>\n",
       "      <td>3587.883798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>2010</td>\n",
       "      <td>4094.362119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>2010</td>\n",
       "      <td>39736.354063</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>2371</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>XKX</td>\n",
       "      <td>2018</td>\n",
       "      <td>4302.276483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2372</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "      <td>YEM</td>\n",
       "      <td>2018</td>\n",
       "      <td>944.408499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2373</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>2018</td>\n",
       "      <td>6374.028196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2374</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>2018</td>\n",
       "      <td>1539.900158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2375</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2018</td>\n",
       "      <td>2146.996385</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2376 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country_Name Country Code  year           GDP\n",
       "0            Aruba          ABW  2010  23512.602596\n",
       "1      Afghanistan          AFG  2010    543.303042\n",
       "2           Angola          AGO  2010   3587.883798\n",
       "3          Albania          ALB  2010   4094.362119\n",
       "4          Andorra          AND  2010  39736.354063\n",
       "...            ...          ...   ...           ...\n",
       "2371        Kosovo          XKX  2018   4302.276483\n",
       "2372   Yemen, Rep.          YEM  2018    944.408499\n",
       "2373  South Africa          ZAF  2018   6374.028196\n",
       "2374        Zambia          ZMB  2018   1539.900158\n",
       "2375      Zimbabwe          ZWE  2018   2146.996385\n",
       "\n",
       "[2376 rows x 4 columns]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdpdf.rename(columns={'variable':'year', 'value':'GDP', 'Country Name':'Country_Name'},inplace=True)\n",
    "gdpdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdpdf.loc[gdpdf['Country_Name']=='Congo, Dem. Rep.', 'Country_Name'] = 'Dem Rep Congo'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdpdf.to_pickle(\"data/gdpdf_pickle.pkl\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now we Process the  Africa population data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIPS</th>\n",
       "      <th>Name</th>\n",
       "      <th>Type</th>\n",
       "      <th>TimeFrame</th>\n",
       "      <th>Data</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>WORLD</td>\n",
       "      <td>WORLD</td>\n",
       "      <td>World</td>\n",
       "      <td>2019</td>\n",
       "      <td>7772.850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AFRICA</td>\n",
       "      <td>AFRICA</td>\n",
       "      <td>Sub-Region</td>\n",
       "      <td>2019</td>\n",
       "      <td>1337.918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>Sub-Region</td>\n",
       "      <td>2019</td>\n",
       "      <td>244.344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DZ</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>Country</td>\n",
       "      <td>2019</td>\n",
       "      <td>44.357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>EG</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>Country</td>\n",
       "      <td>2019</td>\n",
       "      <td>100.803</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>59</th>\n",
       "      <td>BW</td>\n",
       "      <td>Botswana</td>\n",
       "      <td>Country</td>\n",
       "      <td>2019</td>\n",
       "      <td>2.317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>SZ</td>\n",
       "      <td>eSwatini</td>\n",
       "      <td>Country</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>LS</td>\n",
       "      <td>Lesotho</td>\n",
       "      <td>Country</td>\n",
       "      <td>2019</td>\n",
       "      <td>2.142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Namibia</td>\n",
       "      <td>Country</td>\n",
       "      <td>2019</td>\n",
       "      <td>2.541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>ZA</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>Country</td>\n",
       "      <td>2019</td>\n",
       "      <td>59.628</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>64 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               FIPS             Name        Type  TimeFrame      Data\n",
       "0             WORLD            WORLD       World       2019  7772.850\n",
       "1            AFRICA           AFRICA  Sub-Region       2019  1337.918\n",
       "2   NORTHERN AFRICA  NORTHERN AFRICA  Sub-Region       2019   244.344\n",
       "3                DZ          Algeria     Country       2019    44.357\n",
       "4                EG            Egypt     Country       2019   100.803\n",
       "..              ...              ...         ...        ...       ...\n",
       "59               BW         Botswana     Country       2019     2.317\n",
       "60               SZ         eSwatini     Country       2019     1.104\n",
       "61               LS          Lesotho     Country       2019     2.142\n",
       "62              NaN          Namibia     Country       2019     2.541\n",
       "63               ZA     South Africa     Country       2019    59.628\n",
       "\n",
       "[64 rows x 5 columns]"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "africapopdf = pd.read_csv('data/Popdata.csv', skiprows=3)\n",
    "africapopdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "africapopdf.drop(['Type'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "africapopdf1 = africapopdf.drop([0, 1, 2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "africapopdf1.columns = ['FIPS', 'CNTRY_NAME', 'Year', 'Pop_Mil']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "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>FIPS</th>\n",
       "      <th>CNTRY_NAME</th>\n",
       "      <th>Year</th>\n",
       "      <th>Pop_Mil</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DZ</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>2019</td>\n",
       "      <td>44.357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>EG</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>2019</td>\n",
       "      <td>100.803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>LY</td>\n",
       "      <td>Libya</td>\n",
       "      <td>2019</td>\n",
       "      <td>6.891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>MA</td>\n",
       "      <td>Morocco</td>\n",
       "      <td>2019</td>\n",
       "      <td>35.952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SD</td>\n",
       "      <td>Sudan</td>\n",
       "      <td>2019</td>\n",
       "      <td>43.849</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>59</th>\n",
       "      <td>BW</td>\n",
       "      <td>Botswana</td>\n",
       "      <td>2019</td>\n",
       "      <td>2.317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>SZ</td>\n",
       "      <td>eSwatini</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>LS</td>\n",
       "      <td>Lesotho</td>\n",
       "      <td>2019</td>\n",
       "      <td>2.142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Namibia</td>\n",
       "      <td>2019</td>\n",
       "      <td>2.541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>ZA</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>2019</td>\n",
       "      <td>59.628</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>61 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   FIPS    CNTRY_NAME  Year  Pop_Mil\n",
       "3    DZ       Algeria  2019   44.357\n",
       "4    EG         Egypt  2019  100.803\n",
       "5    LY         Libya  2019    6.891\n",
       "6    MA       Morocco  2019   35.952\n",
       "7    SD         Sudan  2019   43.849\n",
       "..  ...           ...   ...      ...\n",
       "59   BW      Botswana  2019    2.317\n",
       "60   SZ      eSwatini  2019    1.104\n",
       "61   LS       Lesotho  2019    2.142\n",
       "62  NaN       Namibia  2019    2.541\n",
       "63   ZA  South Africa  2019   59.628\n",
       "\n",
       "[61 rows x 4 columns]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "africapopdf1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Algeria', 'Egypt', 'Libya', 'Morocco', 'Sudan', 'Tunisia',\n",
       "       'Western Sahara', 'WESTERN AFRICA', 'Benin', 'Burkina Faso',\n",
       "       'Cape Verde', \"Cote d'Ivoire\", 'Gambia', 'Ghana', 'Guinea',\n",
       "       'Guinea-Bissau', 'Liberia', 'Mali', 'Mauritania', 'Niger',\n",
       "       'Nigeria', 'Senegal', 'Sierra Leone', 'Togo', 'EASTERN AFRICA',\n",
       "       'Burundi', 'Comoros', 'Djibouti', 'Eritrea', 'Ethiopia', 'Kenya',\n",
       "       'Madagascar', 'Malawi', 'Mauritius', 'Mayotte', 'Mozambique',\n",
       "       'Reunion', 'Rwanda', 'Seychelles', 'Somalia', 'South Sudan',\n",
       "       'Tanzania', 'Uganda', 'Zambia', 'Zimbabwe', 'MIDDLE AFRICA',\n",
       "       'Angola', 'Cameroon', 'Central African Republic', 'Chad', 'Congo',\n",
       "       'Congo, Dem. Rep.', 'Equatorial Guinea', 'Gabon',\n",
       "       'Sao Tome and Principe', 'SOUTHERN AFRICA', 'Botswana', 'eSwatini',\n",
       "       'Lesotho', 'Namibia', 'South Africa'], dtype=object)"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "africapopdf1.CNTRY_NAME.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "africapopdf1.loc[africapopdf1['CNTRY_NAME']=='Congo, Dem. Rep.', 'CNTRY_NAME'] = 'Dem Rep Congo'\n",
    "africapopdf1.loc[africapopdf1['CNTRY_NAME']=='eSwatini', 'CNTRY_NAME'] = 'Eswatini'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "africapopdf1.to_pickle('data/africapopdf1_pickle.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now we will process the data for Confirmed Covid Cases in Africa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "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>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Date</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>#adm1+name</td>\n",
       "      <td>#country+name</td>\n",
       "      <td>#geo+lat</td>\n",
       "      <td>#geo+lon</td>\n",
       "      <td>#date</td>\n",
       "      <td>#affected+infected+value+num</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>34366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2020-07-10</td>\n",
       "      <td>34194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2020-07-09</td>\n",
       "      <td>33908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2020-07-08</td>\n",
       "      <td>33594</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>45748</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45749</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45750</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45751</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45752</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45753 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Province/State Country/Region       Lat      Long        Date  \\\n",
       "0         #adm1+name  #country+name  #geo+lat  #geo+lon       #date   \n",
       "1                NaN    Afghanistan      33.0      65.0  2020-07-11   \n",
       "2                NaN    Afghanistan      33.0      65.0  2020-07-10   \n",
       "3                NaN    Afghanistan      33.0      65.0  2020-07-09   \n",
       "4                NaN    Afghanistan      33.0      65.0  2020-07-08   \n",
       "...              ...            ...       ...       ...         ...   \n",
       "45748            NaN       Zimbabwe     -20.0      30.0  2020-01-26   \n",
       "45749            NaN       Zimbabwe     -20.0      30.0  2020-01-25   \n",
       "45750            NaN       Zimbabwe     -20.0      30.0  2020-01-24   \n",
       "45751            NaN       Zimbabwe     -20.0      30.0  2020-01-23   \n",
       "45752            NaN       Zimbabwe     -20.0      30.0  2020-01-22   \n",
       "\n",
       "                              Value  \n",
       "0      #affected+infected+value+num  \n",
       "1                             34366  \n",
       "2                             34194  \n",
       "3                             33908  \n",
       "4                             33594  \n",
       "...                             ...  \n",
       "45748                             0  \n",
       "45749                             0  \n",
       "45750                             0  \n",
       "45751                             0  \n",
       "45752                             0  \n",
       "\n",
       "[45753 rows x 6 columns]"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "worldcovid_df = pd.read_csv('data/time_series_covid19_deaths_global_narrow.csv')\n",
    "worldcovid_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Date</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>#adm1+name</td>\n",
       "      <td>#country+name</td>\n",
       "      <td>#geo+lat</td>\n",
       "      <td>#geo+lon</td>\n",
       "      <td>#date</td>\n",
       "      <td>#affected+infected+value+num</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16856</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cyprus</td>\n",
       "      <td>35.1264</td>\n",
       "      <td>33.4299</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16684</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-80.0</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16512</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Croatia</td>\n",
       "      <td>45.1</td>\n",
       "      <td>15.2</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16340</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>7.54</td>\n",
       "      <td>-5.5471</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</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>17889</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Dominica</td>\n",
       "      <td>15.415</td>\n",
       "      <td>-61.371</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11525</th>\n",
       "      <td>Henan</td>\n",
       "      <td>China</td>\n",
       "      <td>33.882</td>\n",
       "      <td>113.614</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>1276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32165</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>12.5186</td>\n",
       "      <td>-70.0358</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36465</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>12.9843</td>\n",
       "      <td>-61.2872</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40421</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>-6.369</td>\n",
       "      <td>34.8888</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>509</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45753 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Province/State                    Country/Region       Lat      Long  \\\n",
       "0         #adm1+name                     #country+name  #geo+lat  #geo+lon   \n",
       "16856            NaN                            Cyprus   35.1264   33.4299   \n",
       "16684            NaN                              Cuba      22.0     -80.0   \n",
       "16512            NaN                           Croatia      45.1      15.2   \n",
       "16340            NaN                     Cote d'Ivoire      7.54   -5.5471   \n",
       "...              ...                               ...       ...       ...   \n",
       "17889            NaN                          Dominica    15.415   -61.371   \n",
       "11525          Henan                             China    33.882   113.614   \n",
       "32165          Aruba                       Netherlands   12.5186  -70.0358   \n",
       "36465            NaN  Saint Vincent and the Grenadines   12.9843  -61.2872   \n",
       "40421            NaN                          Tanzania    -6.369   34.8888   \n",
       "\n",
       "             Date                         Value  \n",
       "0           #date  #affected+infected+value+num  \n",
       "16856  2020-01-22                             0  \n",
       "16684  2020-01-22                             0  \n",
       "16512  2020-01-22                             0  \n",
       "16340  2020-01-22                             0  \n",
       "...           ...                           ...  \n",
       "17889  2020-07-11                            18  \n",
       "11525  2020-07-11                          1276  \n",
       "32165  2020-07-11                           105  \n",
       "36465  2020-07-11                            29  \n",
       "40421  2020-07-11                           509  \n",
       "\n",
       "[45753 rows x 6 columns]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort values by Date\n",
    "worldcovid_df1 = worldcovid_df.sort_values(by=\"Date\")\n",
    "worldcovid_df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Date</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16856</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cyprus</td>\n",
       "      <td>35.1264</td>\n",
       "      <td>33.4299</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16684</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-80.0</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16512</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Croatia</td>\n",
       "      <td>45.1</td>\n",
       "      <td>15.2</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16340</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>7.54</td>\n",
       "      <td>-5.5471</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16168</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>9.7489</td>\n",
       "      <td>-83.7534</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</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>17889</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Dominica</td>\n",
       "      <td>15.415</td>\n",
       "      <td>-61.371</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11525</th>\n",
       "      <td>Henan</td>\n",
       "      <td>China</td>\n",
       "      <td>33.882</td>\n",
       "      <td>113.614</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>1276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32165</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>12.5186</td>\n",
       "      <td>-70.0358</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36465</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>12.9843</td>\n",
       "      <td>-61.2872</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40421</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>-6.369</td>\n",
       "      <td>34.8888</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>509</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45752 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Province/State                    Country/Region      Lat      Long  \\\n",
       "16856            NaN                            Cyprus  35.1264   33.4299   \n",
       "16684            NaN                              Cuba     22.0     -80.0   \n",
       "16512            NaN                           Croatia     45.1      15.2   \n",
       "16340            NaN                     Cote d'Ivoire     7.54   -5.5471   \n",
       "16168            NaN                        Costa Rica   9.7489  -83.7534   \n",
       "...              ...                               ...      ...       ...   \n",
       "17889            NaN                          Dominica   15.415   -61.371   \n",
       "11525          Henan                             China   33.882   113.614   \n",
       "32165          Aruba                       Netherlands  12.5186  -70.0358   \n",
       "36465            NaN  Saint Vincent and the Grenadines  12.9843  -61.2872   \n",
       "40421            NaN                          Tanzania   -6.369   34.8888   \n",
       "\n",
       "             Date Value  \n",
       "16856  2020-01-22     0  \n",
       "16684  2020-01-22     0  \n",
       "16512  2020-01-22     0  \n",
       "16340  2020-01-22     0  \n",
       "16168  2020-01-22     0  \n",
       "...           ...   ...  \n",
       "17889  2020-07-11    18  \n",
       "11525  2020-07-11  1276  \n",
       "32165  2020-07-11   105  \n",
       "36465  2020-07-11    29  \n",
       "40421  2020-07-11   509  \n",
       "\n",
       "[45752 rows x 6 columns]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "worldcovid_df2 = worldcovid_df1.drop([0])\n",
    "worldcovid_df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop Province/State Columns\n",
    "worldcovid_df2.drop(['Province/State'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Date</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16856</th>\n",
       "      <td>Cyprus</td>\n",
       "      <td>35.1264</td>\n",
       "      <td>33.4299</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16684</th>\n",
       "      <td>Cuba</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-80.0</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16512</th>\n",
       "      <td>Croatia</td>\n",
       "      <td>45.1</td>\n",
       "      <td>15.2</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16340</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>7.54</td>\n",
       "      <td>-5.5471</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16168</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>9.7489</td>\n",
       "      <td>-83.7534</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</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>17889</th>\n",
       "      <td>Dominica</td>\n",
       "      <td>15.415</td>\n",
       "      <td>-61.371</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11525</th>\n",
       "      <td>China</td>\n",
       "      <td>33.882</td>\n",
       "      <td>113.614</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>1276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32165</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>12.5186</td>\n",
       "      <td>-70.0358</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36465</th>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>12.9843</td>\n",
       "      <td>-61.2872</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40421</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>-6.369</td>\n",
       "      <td>34.8888</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>509</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45752 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Country/Region      Lat      Long        Date Value\n",
       "16856                            Cyprus  35.1264   33.4299  2020-01-22     0\n",
       "16684                              Cuba     22.0     -80.0  2020-01-22     0\n",
       "16512                           Croatia     45.1      15.2  2020-01-22     0\n",
       "16340                     Cote d'Ivoire     7.54   -5.5471  2020-01-22     0\n",
       "16168                        Costa Rica   9.7489  -83.7534  2020-01-22     0\n",
       "...                                 ...      ...       ...         ...   ...\n",
       "17889                          Dominica   15.415   -61.371  2020-07-11    18\n",
       "11525                             China   33.882   113.614  2020-07-11  1276\n",
       "32165                       Netherlands  12.5186  -70.0358  2020-07-11   105\n",
       "36465  Saint Vincent and the Grenadines  12.9843  -61.2872  2020-07-11    29\n",
       "40421                          Tanzania   -6.369   34.8888  2020-07-11   509\n",
       "\n",
       "[45752 rows x 5 columns]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "worldcovid_df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "worldcovid_df2.columns = ['CNTRY_NAME', 'Lat', 'Long', 'Date', 'Confirmed_Cases']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Cyprus', 'Cuba', 'Croatia', \"Cote d'Ivoire\", 'Costa Rica',\n",
       "       'Congo (Kinshasa)', 'Congo (Brazzaville)', 'Comoros', 'Colombia',\n",
       "       'China', 'Czechia', 'Denmark', 'Germany', 'Georgia', 'Gambia',\n",
       "       'Gabon', 'France', 'Finland', 'Fiji', 'Ethiopia', 'Eswatini',\n",
       "       'Estonia', 'Eritrea', 'Equatorial Guinea', 'El Salvador', 'Egypt',\n",
       "       'Ecuador', 'Dominican Republic', 'Dominica', 'Djibouti',\n",
       "       'Diamond Princess', 'Ghana', 'Brunei', 'Brazil', 'Botswana',\n",
       "       'Bosnia and Herzegovina', 'Bolivia', 'Bhutan', 'Benin', 'Belize',\n",
       "       'Belgium', 'Belarus', 'Barbados', 'Bangladesh', 'Bahrain',\n",
       "       'Bahamas', 'Azerbaijan', 'Austria', 'Australia', 'Armenia',\n",
       "       'Argentina', 'Antigua and Barbuda', 'Angola', 'Andorra',\n",
       "       'Bulgaria', 'Burkina Faso', 'Burundi', 'Chile', 'Chad',\n",
       "       'Central African Republic', 'Canada', 'Cameroon', 'Cambodia',\n",
       "       'Cabo Verde', 'Burma', 'Grenada', 'Guatemala', 'Guinea',\n",
       "       'Switzerland', 'Sweden', 'Suriname', 'Sudan', 'Sri Lanka', 'Spain',\n",
       "       'South Sudan', 'South Africa', 'Somalia', 'Slovenia', 'Slovakia',\n",
       "       'Singapore', 'Sierra Leone', 'Seychelles', 'Serbia', 'Senegal',\n",
       "       'Saudi Arabia', 'Sao Tome and Principe', 'San Marino',\n",
       "       'Saint Vincent and the Grenadines', 'Saint Lucia',\n",
       "       'Saint Kitts and Nevis', 'Rwanda', 'Russia', 'Romania', 'Qatar',\n",
       "       'Portugal', 'Poland', 'Philippines', 'Syria', 'Peru', 'Taiwan*',\n",
       "       'Tanzania', 'Zambia', 'Yemen', 'Western Sahara',\n",
       "       'West Bank and Gaza', 'Vietnam', 'Venezuela', 'Uzbekistan', 'US',\n",
       "       'Uruguay', 'United Kingdom', 'United Arab Emirates', 'Ukraine',\n",
       "       'Uganda', 'Turkey', 'Tunisia', 'Trinidad and Tobago', 'Togo',\n",
       "       'Timor-Leste', 'Thailand', 'Tajikistan', 'Paraguay',\n",
       "       'Papua New Guinea', 'Panama', 'Libya', 'Liberia', 'Lesotho',\n",
       "       'Lebanon', 'Latvia', 'Laos', 'Kyrgyzstan', 'Kuwait', 'Kosovo',\n",
       "       'Korea, South', 'Kenya', 'Kazakhstan', 'Jordan', 'Japan',\n",
       "       'Jamaica', 'Italy', 'Israel', 'Ireland', 'Iraq', 'Iran',\n",
       "       'Indonesia', 'India', 'Iceland', 'Hungary', 'Honduras', 'Holy See',\n",
       "       'Haiti', 'Guyana', 'Guinea-Bissau', 'Liechtenstein', 'Lithuania',\n",
       "       'Luxembourg', 'Madagascar', 'Pakistan', 'Oman', 'Norway',\n",
       "       'North Macedonia', 'Nigeria', 'Niger', 'Nicaragua', 'New Zealand',\n",
       "       'Netherlands', 'Nepal', 'Algeria', 'Namibia', 'Mozambique',\n",
       "       'Morocco', 'Montenegro', 'Mongolia', 'Monaco', 'Moldova', 'Mexico',\n",
       "       'Mauritius', 'Mauritania', 'Malta', 'Mali', 'Maldives', 'Malaysia',\n",
       "       'Malawi', 'MS Zaandam', 'Albania', 'Greece', 'Zimbabwe',\n",
       "       'Afghanistan'], dtype=object)"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "worldcovid_df2.CNTRY_NAME.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "worldcovid_df2.loc[worldcovid_df2['CNTRY_NAME']=='Congo (Kinshasa)', 'CNTRY_NAME'] = 'Dem Rep Congo'\n",
    "worldcovid_df2.loc[worldcovid_df2['CNTRY_NAME']=='Congo (Brazzaville)', 'CNTRY_NAME'] = 'Rep Congo'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "worldcovid_df2.to_pickle('data/worldcovid_df2_pickle.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now we will process Africa Covid Deaths Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
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       "      <th>0</th>\n",
       "      <td>#adm1+name</td>\n",
       "      <td>#country+name</td>\n",
       "      <td>#geo+lat</td>\n",
       "      <td>#geo+lon</td>\n",
       "      <td>#date</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2020-07-10</td>\n",
       "      <td>971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2020-07-09</td>\n",
       "      <td>957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2020-07-08</td>\n",
       "      <td>936</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>45748</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45749</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45750</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45751</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45752</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>-20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45753 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Province/State Country/Region       Lat      Long        Date  \\\n",
       "0         #adm1+name  #country+name  #geo+lat  #geo+lon       #date   \n",
       "1                NaN    Afghanistan      33.0      65.0  2020-07-11   \n",
       "2                NaN    Afghanistan      33.0      65.0  2020-07-10   \n",
       "3                NaN    Afghanistan      33.0      65.0  2020-07-09   \n",
       "4                NaN    Afghanistan      33.0      65.0  2020-07-08   \n",
       "...              ...            ...       ...       ...         ...   \n",
       "45748            NaN       Zimbabwe     -20.0      30.0  2020-01-26   \n",
       "45749            NaN       Zimbabwe     -20.0      30.0  2020-01-25   \n",
       "45750            NaN       Zimbabwe     -20.0      30.0  2020-01-24   \n",
       "45751            NaN       Zimbabwe     -20.0      30.0  2020-01-23   \n",
       "45752            NaN       Zimbabwe     -20.0      30.0  2020-01-22   \n",
       "\n",
       "                              Value  \n",
       "0      #affected+infected+value+num  \n",
       "1                               994  \n",
       "2                               971  \n",
       "3                               957  \n",
       "4                               936  \n",
       "...                             ...  \n",
       "45748                             0  \n",
       "45749                             0  \n",
       "45750                             0  \n",
       "45751                             0  \n",
       "45752                             0  \n",
       "\n",
       "[45753 rows x 6 columns]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deaths_df = pd.read_csv('data/Deaths.csv')\n",
    "deaths_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Date</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>#adm1+name</td>\n",
       "      <td>#country+name</td>\n",
       "      <td>#geo+lat</td>\n",
       "      <td>#geo+lon</td>\n",
       "      <td>#date</td>\n",
       "      <td>#affected+infected+value+num</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16856</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cyprus</td>\n",
       "      <td>35.1264</td>\n",
       "      <td>33.4299</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16684</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>22.0</td>\n",
       "      <td>-80.0</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16512</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Croatia</td>\n",
       "      <td>45.1</td>\n",
       "      <td>15.2</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16340</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>7.54</td>\n",
       "      <td>-5.5471</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</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>17889</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Dominica</td>\n",
       "      <td>15.415</td>\n",
       "      <td>-61.371</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11525</th>\n",
       "      <td>Henan</td>\n",
       "      <td>China</td>\n",
       "      <td>33.882</td>\n",
       "      <td>113.614</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32165</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>12.5186</td>\n",
       "      <td>-70.0358</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36465</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>12.9843</td>\n",
       "      <td>-61.2872</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40421</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>-6.369</td>\n",
       "      <td>34.8888</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45753 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Province/State                    Country/Region       Lat      Long  \\\n",
       "0         #adm1+name                     #country+name  #geo+lat  #geo+lon   \n",
       "16856            NaN                            Cyprus   35.1264   33.4299   \n",
       "16684            NaN                              Cuba      22.0     -80.0   \n",
       "16512            NaN                           Croatia      45.1      15.2   \n",
       "16340            NaN                     Cote d'Ivoire      7.54   -5.5471   \n",
       "...              ...                               ...       ...       ...   \n",
       "17889            NaN                          Dominica    15.415   -61.371   \n",
       "11525          Henan                             China    33.882   113.614   \n",
       "32165          Aruba                       Netherlands   12.5186  -70.0358   \n",
       "36465            NaN  Saint Vincent and the Grenadines   12.9843  -61.2872   \n",
       "40421            NaN                          Tanzania    -6.369   34.8888   \n",
       "\n",
       "             Date                         Value  \n",
       "0           #date  #affected+infected+value+num  \n",
       "16856  2020-01-22                             0  \n",
       "16684  2020-01-22                             0  \n",
       "16512  2020-01-22                             0  \n",
       "16340  2020-01-22                             0  \n",
       "...           ...                           ...  \n",
       "17889  2020-07-11                             0  \n",
       "11525  2020-07-11                            22  \n",
       "32165  2020-07-11                             3  \n",
       "36465  2020-07-11                             0  \n",
       "40421  2020-07-11                            21  \n",
       "\n",
       "[45753 rows x 6 columns]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deaths_df1 = deaths_df.sort_values(by=\"Date\")\n",
    "deaths_df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
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       "      <th>Long</th>\n",
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       "      <th>Value</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>16856</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>35.1264</td>\n",
       "      <td>33.4299</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16512</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Croatia</td>\n",
       "      <td>45.1</td>\n",
       "      <td>15.2</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>16340</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>7.54</td>\n",
       "      <td>-5.5471</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16168</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>9.7489</td>\n",
       "      <td>-83.7534</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17889</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Dominica</td>\n",
       "      <td>15.415</td>\n",
       "      <td>-61.371</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11525</th>\n",
       "      <td>Henan</td>\n",
       "      <td>China</td>\n",
       "      <td>33.882</td>\n",
       "      <td>113.614</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32165</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>12.5186</td>\n",
       "      <td>-70.0358</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36465</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>12.9843</td>\n",
       "      <td>-61.2872</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40421</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>-6.369</td>\n",
       "      <td>34.8888</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45752 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Province/State                    Country/Region      Lat      Long  \\\n",
       "16856            NaN                            Cyprus  35.1264   33.4299   \n",
       "16684            NaN                              Cuba     22.0     -80.0   \n",
       "16512            NaN                           Croatia     45.1      15.2   \n",
       "16340            NaN                     Cote d'Ivoire     7.54   -5.5471   \n",
       "16168            NaN                        Costa Rica   9.7489  -83.7534   \n",
       "...              ...                               ...      ...       ...   \n",
       "17889            NaN                          Dominica   15.415   -61.371   \n",
       "11525          Henan                             China   33.882   113.614   \n",
       "32165          Aruba                       Netherlands  12.5186  -70.0358   \n",
       "36465            NaN  Saint Vincent and the Grenadines  12.9843  -61.2872   \n",
       "40421            NaN                          Tanzania   -6.369   34.8888   \n",
       "\n",
       "             Date Value  \n",
       "16856  2020-01-22     0  \n",
       "16684  2020-01-22     0  \n",
       "16512  2020-01-22     0  \n",
       "16340  2020-01-22     0  \n",
       "16168  2020-01-22     0  \n",
       "...           ...   ...  \n",
       "17889  2020-07-11     0  \n",
       "11525  2020-07-11    22  \n",
       "32165  2020-07-11     3  \n",
       "36465  2020-07-11     0  \n",
       "40421  2020-07-11    21  \n",
       "\n",
       "[45752 rows x 6 columns]"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deaths_df2 = deaths_df1.drop([0])\n",
    "deaths_df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop Province/State Columns\n",
    "deaths_df2.drop(['Province/State'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>16856</th>\n",
       "      <td>Cyprus</td>\n",
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       "      <td>2020-01-22</td>\n",
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       "      <td>Cuba</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>16512</th>\n",
       "      <td>Croatia</td>\n",
       "      <td>45.1</td>\n",
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       "      <th>16340</th>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16168</th>\n",
       "      <td>Costa Rica</td>\n",
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       "      <td>2020-01-22</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>17889</th>\n",
       "      <td>Dominica</td>\n",
       "      <td>15.415</td>\n",
       "      <td>-61.371</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11525</th>\n",
       "      <td>China</td>\n",
       "      <td>33.882</td>\n",
       "      <td>113.614</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32165</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>12.5186</td>\n",
       "      <td>-70.0358</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36465</th>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>12.9843</td>\n",
       "      <td>-61.2872</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40421</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>-6.369</td>\n",
       "      <td>34.8888</td>\n",
       "      <td>2020-07-11</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>45752 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Country/Region      Lat      Long        Date Value\n",
       "16856                            Cyprus  35.1264   33.4299  2020-01-22     0\n",
       "16684                              Cuba     22.0     -80.0  2020-01-22     0\n",
       "16512                           Croatia     45.1      15.2  2020-01-22     0\n",
       "16340                     Cote d'Ivoire     7.54   -5.5471  2020-01-22     0\n",
       "16168                        Costa Rica   9.7489  -83.7534  2020-01-22     0\n",
       "...                                 ...      ...       ...         ...   ...\n",
       "17889                          Dominica   15.415   -61.371  2020-07-11     0\n",
       "11525                             China   33.882   113.614  2020-07-11    22\n",
       "32165                       Netherlands  12.5186  -70.0358  2020-07-11     3\n",
       "36465  Saint Vincent and the Grenadines  12.9843  -61.2872  2020-07-11     0\n",
       "40421                          Tanzania   -6.369   34.8888  2020-07-11    21\n",
       "\n",
       "[45752 rows x 5 columns]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deaths_df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "deaths_df2.columns = ['CNTRY_NAME', 'Lat', 'Long', 'Date', 'Deaths']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "deaths_df2.loc[deaths_df2['CNTRY_NAME']=='Congo (Kinshasa)', 'CNTRY_NAME'] = 'Dem Rep Congo'\n",
    "deaths_df2.loc[deaths_df2['CNTRY_NAME']=='Congo (Brazzaville)', 'CNTRY_NAME'] = 'Rep Congo'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [],
   "source": [
    "deaths_df2.to_pickle('data/deaths_df2_pickle.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now we Process the Human Development Index Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Indicator Name</th>\n",
       "      <th>Indicator Code</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>...</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>Unnamed: 57</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Africa</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.415</td>\n",
       "      <td>0.472</td>\n",
       "      <td>0.477</td>\n",
       "      <td>0.484</td>\n",
       "      <td>0.502</td>\n",
       "      <td>0.504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>BDI</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.313</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.352</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Benin</td>\n",
       "      <td>BEN</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.414</td>\n",
       "      <td>0.416</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.434</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>BFA</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.307</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.327</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.340</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Botswana</td>\n",
       "      <td>BWA</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.619</td>\n",
       "      <td>0.626</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.634</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>CAF</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.339</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.348</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>CIV</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.412</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Cameroon</td>\n",
       "      <td>CMR</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.453</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.459</td>\n",
       "      <td>0.474</td>\n",
       "      <td>0.482</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.492</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.258</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.282</td>\n",
       "      <td>0.289</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.299</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Congo, Rep.</td>\n",
       "      <td>COG</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.509</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.519</td>\n",
       "      <td>0.522</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.531</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Comoros</td>\n",
       "      <td>COM</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.424</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.428</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cape Verde</td>\n",
       "      <td>CPV</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.584</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Djibouti</td>\n",
       "      <td>DJI</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.419</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.442</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>DZA</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.695</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.711</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Egypt, Arab Rep.</td>\n",
       "      <td>EGY</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.640</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.661</td>\n",
       "      <td>0.661</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Eritrea</td>\n",
       "      <td>ERI</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.346</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>ETH</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.376</td>\n",
       "      <td>0.387</td>\n",
       "      <td>0.392</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Gabon</td>\n",
       "      <td>GAB</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.655</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.671</td>\n",
       "      <td>0.676</td>\n",
       "      <td>0.679</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Ghana</td>\n",
       "      <td>GHA</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.534</td>\n",
       "      <td>0.540</td>\n",
       "      <td>0.553</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Guinea</td>\n",
       "      <td>GIN</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.347</td>\n",
       "      <td>0.349</td>\n",
       "      <td>0.352</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Gambia, The</td>\n",
       "      <td>GMB</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.375</td>\n",
       "      <td>0.378</td>\n",
       "      <td>0.383</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.437</td>\n",
       "      <td>0.440</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Guinea-Bissau</td>\n",
       "      <td>GNB</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.352</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.356</td>\n",
       "      <td>0.358</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.364</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Equatorial Guinea</td>\n",
       "      <td>GNQ</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.523</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.533</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.551</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Kenya</td>\n",
       "      <td>KEN</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.472</td>\n",
       "      <td>0.480</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.505</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.515</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Liberia</td>\n",
       "      <td>LBR</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.367</td>\n",
       "      <td>0.381</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Libya</td>\n",
       "      <td>LBY</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.764</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.725</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Lesotho</td>\n",
       "      <td>LSO</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.452</td>\n",
       "      <td>0.456</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Morocco</td>\n",
       "      <td>MAR</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.558</td>\n",
       "      <td>0.565</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.577</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.589</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Madagascar</td>\n",
       "      <td>MDG</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.467</td>\n",
       "      <td>0.472</td>\n",
       "      <td>0.478</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.485</td>\n",
       "      <td>0.484</td>\n",
       "      <td>0.483</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Mali</td>\n",
       "      <td>MLI</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.328</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.337</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.347</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Mozambique</td>\n",
       "      <td>MOZ</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.287</td>\n",
       "      <td>0.291</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.306</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.322</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Mauritania</td>\n",
       "      <td>MRT</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.464</td>\n",
       "      <td>0.464</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Mauritius</td>\n",
       "      <td>MUS</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.715</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.725</td>\n",
       "      <td>0.727</td>\n",
       "      <td>0.732</td>\n",
       "      <td>0.735</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Malawi</td>\n",
       "      <td>MWI</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.373</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.392</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.413</td>\n",
       "      <td>0.415</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>North Africa</td>\n",
       "      <td>NAF</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Namibia</td>\n",
       "      <td>NAM</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.579</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.606</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Niger</td>\n",
       "      <td>NER</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.269</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.278</td>\n",
       "      <td>0.287</td>\n",
       "      <td>0.289</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.297</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Nigeria</td>\n",
       "      <td>NGA</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.434</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.453</td>\n",
       "      <td>0.457</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.467</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Rwanda</td>\n",
       "      <td>RWA</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.377</td>\n",
       "      <td>0.391</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.409</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Sudan</td>\n",
       "      <td>SDN</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.396</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.419</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Senegal</td>\n",
       "      <td>SEN</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.471</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Sierra Leone</td>\n",
       "      <td>SLE</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.315</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.348</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Somalia</td>\n",
       "      <td>SOM</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Sub-Saharan Africa (developing only)</td>\n",
       "      <td>SSA</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>South Sudan</td>\n",
       "      <td>SSD</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Sub-Saharan Africa (all income levels)</td>\n",
       "      <td>SSF</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Sao Tome and Principe</td>\n",
       "      <td>STP</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.503</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.522</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Swaziland</td>\n",
       "      <td>SWZ</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.536</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Sub-Saharan Africa excluding South Africa</td>\n",
       "      <td>SXZ</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Seychelles</td>\n",
       "      <td>SYC</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.781</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.804</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.317</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.319</td>\n",
       "      <td>0.321</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.336</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Togo</td>\n",
       "      <td>TGO</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.436</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.442</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.452</td>\n",
       "      <td>0.455</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Tunisia</td>\n",
       "      <td>TUN</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.687</td>\n",
       "      <td>0.694</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.705</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.710</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>TZA</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.395</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.414</td>\n",
       "      <td>0.458</td>\n",
       "      <td>0.466</td>\n",
       "      <td>0.470</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>UGA</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.437</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.454</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Sub-Saharan Africa excluding South Africa and ...</td>\n",
       "      <td>XZN</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.606</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.616</td>\n",
       "      <td>0.621</td>\n",
       "      <td>0.625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.399</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.443</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>Human development index (HDI)</td>\n",
       "      <td>UNDP.HDI.XD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.352</td>\n",
       "      <td>0.353</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.387</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60 rows × 58 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Country Name Country Code  \\\n",
       "0                                              Africa          AFR   \n",
       "1                                              Angola          AGO   \n",
       "2                                             Burundi          BDI   \n",
       "3                                               Benin          BEN   \n",
       "4                                        Burkina Faso          BFA   \n",
       "5                                            Botswana          BWA   \n",
       "6                            Central African Republic          CAF   \n",
       "7                                       Cote d'Ivoire          CIV   \n",
       "8                                            Cameroon          CMR   \n",
       "9                                    Congo, Dem. Rep.          COD   \n",
       "10                                        Congo, Rep.          COG   \n",
       "11                                            Comoros          COM   \n",
       "12                                         Cape Verde          CPV   \n",
       "13                                           Djibouti          DJI   \n",
       "14                                            Algeria          DZA   \n",
       "15                                   Egypt, Arab Rep.          EGY   \n",
       "16                                            Eritrea          ERI   \n",
       "17                                           Ethiopia          ETH   \n",
       "18                                              Gabon          GAB   \n",
       "19                                              Ghana          GHA   \n",
       "20                                             Guinea          GIN   \n",
       "21                                        Gambia, The          GMB   \n",
       "22                                      Guinea-Bissau          GNB   \n",
       "23                                  Equatorial Guinea          GNQ   \n",
       "24                                              Kenya          KEN   \n",
       "25                                            Liberia          LBR   \n",
       "26                                              Libya          LBY   \n",
       "27                                            Lesotho          LSO   \n",
       "28                                            Morocco          MAR   \n",
       "29                                         Madagascar          MDG   \n",
       "30                                               Mali          MLI   \n",
       "31                                         Mozambique          MOZ   \n",
       "32                                         Mauritania          MRT   \n",
       "33                                          Mauritius          MUS   \n",
       "34                                             Malawi          MWI   \n",
       "35                                       North Africa          NAF   \n",
       "36                                            Namibia          NAM   \n",
       "37                                              Niger          NER   \n",
       "38                                            Nigeria          NGA   \n",
       "39                                             Rwanda          RWA   \n",
       "40                                              Sudan          SDN   \n",
       "41                                            Senegal          SEN   \n",
       "42                                       Sierra Leone          SLE   \n",
       "43                                            Somalia          SOM   \n",
       "44               Sub-Saharan Africa (developing only)          SSA   \n",
       "45                                        South Sudan          SSD   \n",
       "46             Sub-Saharan Africa (all income levels)          SSF   \n",
       "47                              Sao Tome and Principe          STP   \n",
       "48                                          Swaziland          SWZ   \n",
       "49          Sub-Saharan Africa excluding South Africa          SXZ   \n",
       "50                                         Seychelles          SYC   \n",
       "51                                               Chad          TCD   \n",
       "52                                               Togo          TGO   \n",
       "53                                            Tunisia          TUN   \n",
       "54                                           Tanzania          TZA   \n",
       "55                                             Uganda          UGA   \n",
       "56  Sub-Saharan Africa excluding South Africa and ...          XZN   \n",
       "57                                       South Africa          ZAF   \n",
       "58                                             Zambia          ZMB   \n",
       "59                                           Zimbabwe          ZWE   \n",
       "\n",
       "                   Indicator Name Indicator Code  1960  1961  1962  1963  \\\n",
       "0   Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "1   Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "2   Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "3   Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "4   Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "5   Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "6   Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "7   Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "8   Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "9   Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "10  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "11  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "12  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "13  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "14  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "15  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "16  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "17  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "18  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "19  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "20  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "21  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "22  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "23  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "24  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "25  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "26  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "27  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "28  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "29  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "30  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "31  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "32  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "33  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "34  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "35  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "36  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "37  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "38  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "39  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "40  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "41  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "42  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "43  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "44  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "45  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "46  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "47  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "48  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "49  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "50  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "51  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "52  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "53  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "54  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "55  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "56  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "57  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "58  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "59  Human development index (HDI)    UNDP.HDI.XD   NaN   NaN   NaN   NaN   \n",
       "\n",
       "    1964  1965  ...  2004   2005   2006   2007   2008   2009   2010   2011  \\\n",
       "0    NaN   NaN  ...   NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "1    NaN   NaN  ...   NaN  0.406  0.415  0.472  0.477  0.484  0.502  0.504   \n",
       "2    NaN   NaN  ...   NaN  0.298  0.313  0.323  0.331  0.340  0.348  0.352   \n",
       "3    NaN   NaN  ...   NaN  0.414  0.416  0.420  0.425  0.429  0.432  0.434   \n",
       "4    NaN   NaN  ...   NaN  0.301  0.307  0.314  0.322  0.327  0.334  0.340   \n",
       "5    NaN   NaN  ...   NaN  0.604  0.611  0.619  0.626  0.629  0.633  0.634   \n",
       "6    NaN   NaN  ...   NaN  0.308  0.312  0.316  0.333  0.339  0.344  0.348   \n",
       "7    NaN   NaN  ...   NaN  0.405  0.408  0.412  0.417  0.422  0.427  0.426   \n",
       "8    NaN   NaN  ...   NaN  0.453  0.455  0.459  0.474  0.482  0.488  0.492   \n",
       "9    NaN   NaN  ...   NaN  0.258  0.262  0.280  0.282  0.289  0.295  0.299   \n",
       "10   NaN   NaN  ...   NaN  0.506  0.509  0.511  0.519  0.522  0.529  0.531   \n",
       "11   NaN   NaN  ...   NaN  0.425  0.425  0.425  0.424  0.425  0.426  0.428   \n",
       "12   NaN   NaN  ...   NaN    NaN    NaN    NaN    NaN    NaN  0.581  0.584   \n",
       "13   NaN   NaN  ...   NaN  0.405  0.411  0.419  0.422  0.429  0.431  0.442   \n",
       "14   NaN   NaN  ...   NaN  0.680  0.685  0.691  0.695  0.708  0.710  0.711   \n",
       "15   NaN   NaN  ...   NaN  0.625  0.633  0.640  0.647  0.653  0.661  0.661   \n",
       "16   NaN   NaN  ...   NaN    NaN    NaN    NaN    NaN    NaN  0.342  0.346   \n",
       "17   NaN   NaN  ...   NaN  0.316  0.333  0.350  0.365  0.376  0.387  0.392   \n",
       "18   NaN   NaN  ...   NaN  0.653  0.655  0.662  0.667  0.671  0.676  0.679   \n",
       "19   NaN   NaN  ...   NaN  0.491  0.493  0.506  0.520  0.534  0.540  0.553   \n",
       "20   NaN   NaN  ...   NaN  0.331  0.336  0.342  0.345  0.347  0.349  0.352   \n",
       "21   NaN   NaN  ...   NaN  0.375  0.378  0.383  0.426  0.432  0.437  0.440   \n",
       "22   NaN   NaN  ...   NaN  0.348  0.352  0.355  0.356  0.358  0.361  0.364   \n",
       "23   NaN   NaN  ...   NaN  0.523  0.526  0.533  0.543  0.552  0.547  0.551   \n",
       "24   NaN   NaN  ...   NaN  0.472  0.480  0.491  0.495  0.505  0.511  0.515   \n",
       "25   NaN   NaN  ...   NaN  0.301  0.314  0.334  0.346  0.359  0.367  0.381   \n",
       "26   NaN   NaN  ...   NaN  0.746  0.753  0.760  0.764  0.768  0.773  0.725   \n",
       "27   NaN   NaN  ...   NaN  0.425  0.429  0.431  0.441  0.448  0.452  0.456   \n",
       "28   NaN   NaN  ...   NaN  0.558  0.565  0.571  0.577  0.581  0.586  0.589   \n",
       "29   NaN   NaN  ...   NaN  0.467  0.472  0.478  0.486  0.485  0.484  0.483   \n",
       "30   NaN   NaN  ...   NaN  0.312  0.318  0.328  0.332  0.337  0.344  0.347   \n",
       "31   NaN   NaN  ...   NaN  0.287  0.291  0.301  0.306  0.312  0.318  0.322   \n",
       "32   NaN   NaN  ...   NaN  0.441  0.450  0.454  0.454  0.461  0.464  0.464   \n",
       "33   NaN   NaN  ...   NaN  0.708  0.715  0.720  0.725  0.727  0.732  0.735   \n",
       "34   NaN   NaN  ...   NaN  0.363  0.373  0.381  0.392  0.401  0.413  0.415   \n",
       "35   NaN   NaN  ...   NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "36   NaN   NaN  ...   NaN  0.579  0.586  0.592  0.597  0.600  0.604  0.606   \n",
       "37   NaN   NaN  ...   NaN  0.269  0.274  0.278  0.287  0.289  0.298  0.297   \n",
       "38   NaN   NaN  ...   NaN  0.434  0.444  0.448  0.453  0.457  0.462  0.467   \n",
       "39   NaN   NaN  ...   NaN  0.377  0.391  0.400  0.409  0.417  0.425  0.429   \n",
       "40   NaN   NaN  ...   NaN  0.390  0.396  0.401  0.405  0.408  0.411  0.419   \n",
       "41   NaN   NaN  ...   NaN  0.441  0.445  0.454  0.461  0.462  0.470  0.471   \n",
       "42   NaN   NaN  ...   NaN  0.315  0.323  0.331  0.336  0.342  0.346  0.348   \n",
       "43   NaN   NaN  ...   NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "44   NaN   NaN  ...   NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "45   NaN   NaN  ...   NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "46   NaN   NaN  ...   NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "47   NaN   NaN  ...   NaN  0.488  0.493  0.503  0.510  0.517  0.520  0.522   \n",
       "48   NaN   NaN  ...   NaN  0.504  0.511  0.520  0.525  0.528  0.532  0.536   \n",
       "49   NaN   NaN  ...   NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "50   NaN   NaN  ...   NaN  0.781  0.785  0.792  0.793  0.795  0.799  0.804   \n",
       "51   NaN   NaN  ...   NaN  0.317  0.316  0.319  0.321  0.331  0.336  0.336   \n",
       "52   NaN   NaN  ...   NaN  0.436  0.443  0.442  0.445  0.448  0.452  0.455   \n",
       "53   NaN   NaN  ...   NaN  0.679  0.687  0.694  0.700  0.705  0.710  0.710   \n",
       "54   NaN   NaN  ...   NaN  0.395  0.401  0.408  0.414  0.458  0.466  0.470   \n",
       "55   NaN   NaN  ...   NaN  0.408  0.417  0.427  0.437  0.445  0.450  0.454   \n",
       "56   NaN   NaN  ...   NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "57   NaN   NaN  ...   NaN  0.604  0.606  0.609  0.613  0.616  0.621  0.625   \n",
       "58   NaN   NaN  ...   NaN  0.399  0.405  0.411  0.420  0.431  0.438  0.443   \n",
       "59   NaN   NaN  ...   NaN  0.352  0.353  0.355  0.345  0.359  0.374  0.387   \n",
       "\n",
       "    2012  Unnamed: 57  \n",
       "0    NaN          NaN  \n",
       "1    NaN          NaN  \n",
       "2    NaN          NaN  \n",
       "3    NaN          NaN  \n",
       "4    NaN          NaN  \n",
       "5    NaN          NaN  \n",
       "6    NaN          NaN  \n",
       "7    NaN          NaN  \n",
       "8    NaN          NaN  \n",
       "9    NaN          NaN  \n",
       "10   NaN          NaN  \n",
       "11   NaN          NaN  \n",
       "12   NaN          NaN  \n",
       "13   NaN          NaN  \n",
       "14   NaN          NaN  \n",
       "15   NaN          NaN  \n",
       "16   NaN          NaN  \n",
       "17   NaN          NaN  \n",
       "18   NaN          NaN  \n",
       "19   NaN          NaN  \n",
       "20   NaN          NaN  \n",
       "21   NaN          NaN  \n",
       "22   NaN          NaN  \n",
       "23   NaN          NaN  \n",
       "24   NaN          NaN  \n",
       "25   NaN          NaN  \n",
       "26   NaN          NaN  \n",
       "27   NaN          NaN  \n",
       "28   NaN          NaN  \n",
       "29   NaN          NaN  \n",
       "30   NaN          NaN  \n",
       "31   NaN          NaN  \n",
       "32   NaN          NaN  \n",
       "33   NaN          NaN  \n",
       "34   NaN          NaN  \n",
       "35   NaN          NaN  \n",
       "36   NaN          NaN  \n",
       "37   NaN          NaN  \n",
       "38   NaN          NaN  \n",
       "39   NaN          NaN  \n",
       "40   NaN          NaN  \n",
       "41   NaN          NaN  \n",
       "42   NaN          NaN  \n",
       "43   NaN          NaN  \n",
       "44   NaN          NaN  \n",
       "45   NaN          NaN  \n",
       "46   NaN          NaN  \n",
       "47   NaN          NaN  \n",
       "48   NaN          NaN  \n",
       "49   NaN          NaN  \n",
       "50   NaN          NaN  \n",
       "51   NaN          NaN  \n",
       "52   NaN          NaN  \n",
       "53   NaN          NaN  \n",
       "54   NaN          NaN  \n",
       "55   NaN          NaN  \n",
       "56   NaN          NaN  \n",
       "57   NaN          NaN  \n",
       "58   NaN          NaN  \n",
       "59   NaN          NaN  \n",
       "\n",
       "[60 rows x 58 columns]"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawhdi= pd.read_csv('data/API_UNDP.HDI.XD_DS11_en_csv_v2_1070220.csv', skiprows=3)\n",
    "rawhdi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop Columns\n",
    "rawhdi.drop(['Indicator Name', 'Indicator Code', '1960', '1961', '1962', '1963', '1963', '1964', '1965', '1965', '1966', '1967', '1968', '1969', '1970', '1971', '1972', '1973', '1974', '1975', '1976', '1977', '1978', '1979', '1980', '1981', '1982', '1983', '1984', '1985', '1986', '1987', '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995', '1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004', '2012', 'Unnamed: 57'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Africa</td>\n",
       "      <td>AFR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.415</td>\n",
       "      <td>0.472</td>\n",
       "      <td>0.477</td>\n",
       "      <td>0.484</td>\n",
       "      <td>0.502</td>\n",
       "      <td>0.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>BDI</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.313</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Benin</td>\n",
       "      <td>BEN</td>\n",
       "      <td>0.414</td>\n",
       "      <td>0.416</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>BFA</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.307</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.327</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Botswana</td>\n",
       "      <td>BWA</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.619</td>\n",
       "      <td>0.626</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>CAF</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.339</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>CIV</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.412</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Cameroon</td>\n",
       "      <td>CMR</td>\n",
       "      <td>0.453</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.459</td>\n",
       "      <td>0.474</td>\n",
       "      <td>0.482</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>0.258</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.282</td>\n",
       "      <td>0.289</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Congo, Rep.</td>\n",
       "      <td>COG</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.509</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.519</td>\n",
       "      <td>0.522</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Comoros</td>\n",
       "      <td>COM</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.424</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cape Verde</td>\n",
       "      <td>CPV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Djibouti</td>\n",
       "      <td>DJI</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.419</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>DZA</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.695</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Egypt, Arab Rep.</td>\n",
       "      <td>EGY</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.640</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.661</td>\n",
       "      <td>0.661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Eritrea</td>\n",
       "      <td>ERI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>ETH</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.376</td>\n",
       "      <td>0.387</td>\n",
       "      <td>0.392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Gabon</td>\n",
       "      <td>GAB</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.655</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.671</td>\n",
       "      <td>0.676</td>\n",
       "      <td>0.679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Ghana</td>\n",
       "      <td>GHA</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.534</td>\n",
       "      <td>0.540</td>\n",
       "      <td>0.553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Guinea</td>\n",
       "      <td>GIN</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.347</td>\n",
       "      <td>0.349</td>\n",
       "      <td>0.352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Gambia, The</td>\n",
       "      <td>GMB</td>\n",
       "      <td>0.375</td>\n",
       "      <td>0.378</td>\n",
       "      <td>0.383</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.437</td>\n",
       "      <td>0.440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Guinea-Bissau</td>\n",
       "      <td>GNB</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.352</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.356</td>\n",
       "      <td>0.358</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Equatorial Guinea</td>\n",
       "      <td>GNQ</td>\n",
       "      <td>0.523</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.533</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Kenya</td>\n",
       "      <td>KEN</td>\n",
       "      <td>0.472</td>\n",
       "      <td>0.480</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.505</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Liberia</td>\n",
       "      <td>LBR</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.367</td>\n",
       "      <td>0.381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Libya</td>\n",
       "      <td>LBY</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.764</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Lesotho</td>\n",
       "      <td>LSO</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.452</td>\n",
       "      <td>0.456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Morocco</td>\n",
       "      <td>MAR</td>\n",
       "      <td>0.558</td>\n",
       "      <td>0.565</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.577</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Madagascar</td>\n",
       "      <td>MDG</td>\n",
       "      <td>0.467</td>\n",
       "      <td>0.472</td>\n",
       "      <td>0.478</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.485</td>\n",
       "      <td>0.484</td>\n",
       "      <td>0.483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Mali</td>\n",
       "      <td>MLI</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.328</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.337</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Mozambique</td>\n",
       "      <td>MOZ</td>\n",
       "      <td>0.287</td>\n",
       "      <td>0.291</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.306</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Mauritania</td>\n",
       "      <td>MRT</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.464</td>\n",
       "      <td>0.464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Mauritius</td>\n",
       "      <td>MUS</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.715</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.725</td>\n",
       "      <td>0.727</td>\n",
       "      <td>0.732</td>\n",
       "      <td>0.735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Malawi</td>\n",
       "      <td>MWI</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.373</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.392</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.413</td>\n",
       "      <td>0.415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>North Africa</td>\n",
       "      <td>NAF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Namibia</td>\n",
       "      <td>NAM</td>\n",
       "      <td>0.579</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Niger</td>\n",
       "      <td>NER</td>\n",
       "      <td>0.269</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.278</td>\n",
       "      <td>0.287</td>\n",
       "      <td>0.289</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Nigeria</td>\n",
       "      <td>NGA</td>\n",
       "      <td>0.434</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.453</td>\n",
       "      <td>0.457</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Rwanda</td>\n",
       "      <td>RWA</td>\n",
       "      <td>0.377</td>\n",
       "      <td>0.391</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.409</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Sudan</td>\n",
       "      <td>SDN</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.396</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Senegal</td>\n",
       "      <td>SEN</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Sierra Leone</td>\n",
       "      <td>SLE</td>\n",
       "      <td>0.315</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Somalia</td>\n",
       "      <td>SOM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Sub-Saharan Africa (developing only)</td>\n",
       "      <td>SSA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>South Sudan</td>\n",
       "      <td>SSD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Sub-Saharan Africa (all income levels)</td>\n",
       "      <td>SSF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Sao Tome and Principe</td>\n",
       "      <td>STP</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.503</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Swaziland</td>\n",
       "      <td>SWZ</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Sub-Saharan Africa excluding South Africa</td>\n",
       "      <td>SXZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Seychelles</td>\n",
       "      <td>SYC</td>\n",
       "      <td>0.781</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>0.317</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.319</td>\n",
       "      <td>0.321</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Togo</td>\n",
       "      <td>TGO</td>\n",
       "      <td>0.436</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.442</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.452</td>\n",
       "      <td>0.455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Tunisia</td>\n",
       "      <td>TUN</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.687</td>\n",
       "      <td>0.694</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.705</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>TZA</td>\n",
       "      <td>0.395</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.414</td>\n",
       "      <td>0.458</td>\n",
       "      <td>0.466</td>\n",
       "      <td>0.470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>UGA</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.437</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Sub-Saharan Africa excluding South Africa and ...</td>\n",
       "      <td>XZN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.606</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.616</td>\n",
       "      <td>0.621</td>\n",
       "      <td>0.625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>0.399</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>0.352</td>\n",
       "      <td>0.353</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.387</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Country Name Country Code   2005  \\\n",
       "0                                              Africa          AFR    NaN   \n",
       "1                                              Angola          AGO  0.406   \n",
       "2                                             Burundi          BDI  0.298   \n",
       "3                                               Benin          BEN  0.414   \n",
       "4                                        Burkina Faso          BFA  0.301   \n",
       "5                                            Botswana          BWA  0.604   \n",
       "6                            Central African Republic          CAF  0.308   \n",
       "7                                       Cote d'Ivoire          CIV  0.405   \n",
       "8                                            Cameroon          CMR  0.453   \n",
       "9                                    Congo, Dem. Rep.          COD  0.258   \n",
       "10                                        Congo, Rep.          COG  0.506   \n",
       "11                                            Comoros          COM  0.425   \n",
       "12                                         Cape Verde          CPV    NaN   \n",
       "13                                           Djibouti          DJI  0.405   \n",
       "14                                            Algeria          DZA  0.680   \n",
       "15                                   Egypt, Arab Rep.          EGY  0.625   \n",
       "16                                            Eritrea          ERI    NaN   \n",
       "17                                           Ethiopia          ETH  0.316   \n",
       "18                                              Gabon          GAB  0.653   \n",
       "19                                              Ghana          GHA  0.491   \n",
       "20                                             Guinea          GIN  0.331   \n",
       "21                                        Gambia, The          GMB  0.375   \n",
       "22                                      Guinea-Bissau          GNB  0.348   \n",
       "23                                  Equatorial Guinea          GNQ  0.523   \n",
       "24                                              Kenya          KEN  0.472   \n",
       "25                                            Liberia          LBR  0.301   \n",
       "26                                              Libya          LBY  0.746   \n",
       "27                                            Lesotho          LSO  0.425   \n",
       "28                                            Morocco          MAR  0.558   \n",
       "29                                         Madagascar          MDG  0.467   \n",
       "30                                               Mali          MLI  0.312   \n",
       "31                                         Mozambique          MOZ  0.287   \n",
       "32                                         Mauritania          MRT  0.441   \n",
       "33                                          Mauritius          MUS  0.708   \n",
       "34                                             Malawi          MWI  0.363   \n",
       "35                                       North Africa          NAF    NaN   \n",
       "36                                            Namibia          NAM  0.579   \n",
       "37                                              Niger          NER  0.269   \n",
       "38                                            Nigeria          NGA  0.434   \n",
       "39                                             Rwanda          RWA  0.377   \n",
       "40                                              Sudan          SDN  0.390   \n",
       "41                                            Senegal          SEN  0.441   \n",
       "42                                       Sierra Leone          SLE  0.315   \n",
       "43                                            Somalia          SOM    NaN   \n",
       "44               Sub-Saharan Africa (developing only)          SSA    NaN   \n",
       "45                                        South Sudan          SSD    NaN   \n",
       "46             Sub-Saharan Africa (all income levels)          SSF    NaN   \n",
       "47                              Sao Tome and Principe          STP  0.488   \n",
       "48                                          Swaziland          SWZ  0.504   \n",
       "49          Sub-Saharan Africa excluding South Africa          SXZ    NaN   \n",
       "50                                         Seychelles          SYC  0.781   \n",
       "51                                               Chad          TCD  0.317   \n",
       "52                                               Togo          TGO  0.436   \n",
       "53                                            Tunisia          TUN  0.679   \n",
       "54                                           Tanzania          TZA  0.395   \n",
       "55                                             Uganda          UGA  0.408   \n",
       "56  Sub-Saharan Africa excluding South Africa and ...          XZN    NaN   \n",
       "57                                       South Africa          ZAF  0.604   \n",
       "58                                             Zambia          ZMB  0.399   \n",
       "59                                           Zimbabwe          ZWE  0.352   \n",
       "\n",
       "     2006   2007   2008   2009   2010   2011  \n",
       "0     NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "1   0.415  0.472  0.477  0.484  0.502  0.504  \n",
       "2   0.313  0.323  0.331  0.340  0.348  0.352  \n",
       "3   0.416  0.420  0.425  0.429  0.432  0.434  \n",
       "4   0.307  0.314  0.322  0.327  0.334  0.340  \n",
       "5   0.611  0.619  0.626  0.629  0.633  0.634  \n",
       "6   0.312  0.316  0.333  0.339  0.344  0.348  \n",
       "7   0.408  0.412  0.417  0.422  0.427  0.426  \n",
       "8   0.455  0.459  0.474  0.482  0.488  0.492  \n",
       "9   0.262  0.280  0.282  0.289  0.295  0.299  \n",
       "10  0.509  0.511  0.519  0.522  0.529  0.531  \n",
       "11  0.425  0.425  0.424  0.425  0.426  0.428  \n",
       "12    NaN    NaN    NaN    NaN  0.581  0.584  \n",
       "13  0.411  0.419  0.422  0.429  0.431  0.442  \n",
       "14  0.685  0.691  0.695  0.708  0.710  0.711  \n",
       "15  0.633  0.640  0.647  0.653  0.661  0.661  \n",
       "16    NaN    NaN    NaN    NaN  0.342  0.346  \n",
       "17  0.333  0.350  0.365  0.376  0.387  0.392  \n",
       "18  0.655  0.662  0.667  0.671  0.676  0.679  \n",
       "19  0.493  0.506  0.520  0.534  0.540  0.553  \n",
       "20  0.336  0.342  0.345  0.347  0.349  0.352  \n",
       "21  0.378  0.383  0.426  0.432  0.437  0.440  \n",
       "22  0.352  0.355  0.356  0.358  0.361  0.364  \n",
       "23  0.526  0.533  0.543  0.552  0.547  0.551  \n",
       "24  0.480  0.491  0.495  0.505  0.511  0.515  \n",
       "25  0.314  0.334  0.346  0.359  0.367  0.381  \n",
       "26  0.753  0.760  0.764  0.768  0.773  0.725  \n",
       "27  0.429  0.431  0.441  0.448  0.452  0.456  \n",
       "28  0.565  0.571  0.577  0.581  0.586  0.589  \n",
       "29  0.472  0.478  0.486  0.485  0.484  0.483  \n",
       "30  0.318  0.328  0.332  0.337  0.344  0.347  \n",
       "31  0.291  0.301  0.306  0.312  0.318  0.322  \n",
       "32  0.450  0.454  0.454  0.461  0.464  0.464  \n",
       "33  0.715  0.720  0.725  0.727  0.732  0.735  \n",
       "34  0.373  0.381  0.392  0.401  0.413  0.415  \n",
       "35    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "36  0.586  0.592  0.597  0.600  0.604  0.606  \n",
       "37  0.274  0.278  0.287  0.289  0.298  0.297  \n",
       "38  0.444  0.448  0.453  0.457  0.462  0.467  \n",
       "39  0.391  0.400  0.409  0.417  0.425  0.429  \n",
       "40  0.396  0.401  0.405  0.408  0.411  0.419  \n",
       "41  0.445  0.454  0.461  0.462  0.470  0.471  \n",
       "42  0.323  0.331  0.336  0.342  0.346  0.348  \n",
       "43    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "44    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "45    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "46    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "47  0.493  0.503  0.510  0.517  0.520  0.522  \n",
       "48  0.511  0.520  0.525  0.528  0.532  0.536  \n",
       "49    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "50  0.785  0.792  0.793  0.795  0.799  0.804  \n",
       "51  0.316  0.319  0.321  0.331  0.336  0.336  \n",
       "52  0.443  0.442  0.445  0.448  0.452  0.455  \n",
       "53  0.687  0.694  0.700  0.705  0.710  0.710  \n",
       "54  0.401  0.408  0.414  0.458  0.466  0.470  \n",
       "55  0.417  0.427  0.437  0.445  0.450  0.454  \n",
       "56    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "57  0.606  0.609  0.613  0.616  0.621  0.625  \n",
       "58  0.405  0.411  0.420  0.431  0.438  0.443  \n",
       "59  0.353  0.355  0.345  0.359  0.374  0.387  "
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawhdi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.415</td>\n",
       "      <td>0.472</td>\n",
       "      <td>0.477</td>\n",
       "      <td>0.484</td>\n",
       "      <td>0.502</td>\n",
       "      <td>0.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>BDI</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.313</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Benin</td>\n",
       "      <td>BEN</td>\n",
       "      <td>0.414</td>\n",
       "      <td>0.416</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>BFA</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.307</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.327</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Botswana</td>\n",
       "      <td>BWA</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.619</td>\n",
       "      <td>0.626</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>CAF</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.339</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>CIV</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.412</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Cameroon</td>\n",
       "      <td>CMR</td>\n",
       "      <td>0.453</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.459</td>\n",
       "      <td>0.474</td>\n",
       "      <td>0.482</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "      <td>COD</td>\n",
       "      <td>0.258</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.282</td>\n",
       "      <td>0.289</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Congo, Rep.</td>\n",
       "      <td>COG</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.509</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.519</td>\n",
       "      <td>0.522</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Comoros</td>\n",
       "      <td>COM</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.424</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cape Verde</td>\n",
       "      <td>CPV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Djibouti</td>\n",
       "      <td>DJI</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.419</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>DZA</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.685</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.695</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Egypt, Arab Rep.</td>\n",
       "      <td>EGY</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.640</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.661</td>\n",
       "      <td>0.661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Eritrea</td>\n",
       "      <td>ERI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>ETH</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.376</td>\n",
       "      <td>0.387</td>\n",
       "      <td>0.392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Gabon</td>\n",
       "      <td>GAB</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.655</td>\n",
       "      <td>0.662</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.671</td>\n",
       "      <td>0.676</td>\n",
       "      <td>0.679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Ghana</td>\n",
       "      <td>GHA</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.534</td>\n",
       "      <td>0.540</td>\n",
       "      <td>0.553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Guinea</td>\n",
       "      <td>GIN</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.347</td>\n",
       "      <td>0.349</td>\n",
       "      <td>0.352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Gambia, The</td>\n",
       "      <td>GMB</td>\n",
       "      <td>0.375</td>\n",
       "      <td>0.378</td>\n",
       "      <td>0.383</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.437</td>\n",
       "      <td>0.440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Guinea-Bissau</td>\n",
       "      <td>GNB</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.352</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.356</td>\n",
       "      <td>0.358</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Equatorial Guinea</td>\n",
       "      <td>GNQ</td>\n",
       "      <td>0.523</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.533</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Kenya</td>\n",
       "      <td>KEN</td>\n",
       "      <td>0.472</td>\n",
       "      <td>0.480</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.505</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Liberia</td>\n",
       "      <td>LBR</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.314</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.367</td>\n",
       "      <td>0.381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Libya</td>\n",
       "      <td>LBY</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.764</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Lesotho</td>\n",
       "      <td>LSO</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.452</td>\n",
       "      <td>0.456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Morocco</td>\n",
       "      <td>MAR</td>\n",
       "      <td>0.558</td>\n",
       "      <td>0.565</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.577</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Madagascar</td>\n",
       "      <td>MDG</td>\n",
       "      <td>0.467</td>\n",
       "      <td>0.472</td>\n",
       "      <td>0.478</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.485</td>\n",
       "      <td>0.484</td>\n",
       "      <td>0.483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Mali</td>\n",
       "      <td>MLI</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.328</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.337</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Mozambique</td>\n",
       "      <td>MOZ</td>\n",
       "      <td>0.287</td>\n",
       "      <td>0.291</td>\n",
       "      <td>0.301</td>\n",
       "      <td>0.306</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Mauritania</td>\n",
       "      <td>MRT</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.464</td>\n",
       "      <td>0.464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Mauritius</td>\n",
       "      <td>MUS</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.715</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.725</td>\n",
       "      <td>0.727</td>\n",
       "      <td>0.732</td>\n",
       "      <td>0.735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Malawi</td>\n",
       "      <td>MWI</td>\n",
       "      <td>0.363</td>\n",
       "      <td>0.373</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.392</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.413</td>\n",
       "      <td>0.415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>North Africa</td>\n",
       "      <td>NAF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Namibia</td>\n",
       "      <td>NAM</td>\n",
       "      <td>0.579</td>\n",
       "      <td>0.586</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Niger</td>\n",
       "      <td>NER</td>\n",
       "      <td>0.269</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.278</td>\n",
       "      <td>0.287</td>\n",
       "      <td>0.289</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Nigeria</td>\n",
       "      <td>NGA</td>\n",
       "      <td>0.434</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.453</td>\n",
       "      <td>0.457</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Rwanda</td>\n",
       "      <td>RWA</td>\n",
       "      <td>0.377</td>\n",
       "      <td>0.391</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.409</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Sudan</td>\n",
       "      <td>SDN</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.396</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Senegal</td>\n",
       "      <td>SEN</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Sierra Leone</td>\n",
       "      <td>SLE</td>\n",
       "      <td>0.315</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.342</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Somalia</td>\n",
       "      <td>SOM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>South Sudan</td>\n",
       "      <td>SSD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Sao Tome and Principe</td>\n",
       "      <td>STP</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.503</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Swaziland</td>\n",
       "      <td>SWZ</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Seychelles</td>\n",
       "      <td>SYC</td>\n",
       "      <td>0.781</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>0.317</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.319</td>\n",
       "      <td>0.321</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Togo</td>\n",
       "      <td>TGO</td>\n",
       "      <td>0.436</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.442</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.448</td>\n",
       "      <td>0.452</td>\n",
       "      <td>0.455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Tunisia</td>\n",
       "      <td>TUN</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.687</td>\n",
       "      <td>0.694</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.705</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>TZA</td>\n",
       "      <td>0.395</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.414</td>\n",
       "      <td>0.458</td>\n",
       "      <td>0.466</td>\n",
       "      <td>0.470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>UGA</td>\n",
       "      <td>0.408</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.437</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.606</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.616</td>\n",
       "      <td>0.621</td>\n",
       "      <td>0.625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>0.399</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.411</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.438</td>\n",
       "      <td>0.443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>0.352</td>\n",
       "      <td>0.353</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.374</td>\n",
       "      <td>0.387</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Country Name Country Code   2005   2006   2007   2008   2009  \\\n",
       "1                     Angola          AGO  0.406  0.415  0.472  0.477  0.484   \n",
       "2                    Burundi          BDI  0.298  0.313  0.323  0.331  0.340   \n",
       "3                      Benin          BEN  0.414  0.416  0.420  0.425  0.429   \n",
       "4               Burkina Faso          BFA  0.301  0.307  0.314  0.322  0.327   \n",
       "5                   Botswana          BWA  0.604  0.611  0.619  0.626  0.629   \n",
       "6   Central African Republic          CAF  0.308  0.312  0.316  0.333  0.339   \n",
       "7              Cote d'Ivoire          CIV  0.405  0.408  0.412  0.417  0.422   \n",
       "8                   Cameroon          CMR  0.453  0.455  0.459  0.474  0.482   \n",
       "9           Congo, Dem. Rep.          COD  0.258  0.262  0.280  0.282  0.289   \n",
       "10               Congo, Rep.          COG  0.506  0.509  0.511  0.519  0.522   \n",
       "11                   Comoros          COM  0.425  0.425  0.425  0.424  0.425   \n",
       "12                Cape Verde          CPV    NaN    NaN    NaN    NaN    NaN   \n",
       "13                  Djibouti          DJI  0.405  0.411  0.419  0.422  0.429   \n",
       "14                   Algeria          DZA  0.680  0.685  0.691  0.695  0.708   \n",
       "15          Egypt, Arab Rep.          EGY  0.625  0.633  0.640  0.647  0.653   \n",
       "16                   Eritrea          ERI    NaN    NaN    NaN    NaN    NaN   \n",
       "17                  Ethiopia          ETH  0.316  0.333  0.350  0.365  0.376   \n",
       "18                     Gabon          GAB  0.653  0.655  0.662  0.667  0.671   \n",
       "19                     Ghana          GHA  0.491  0.493  0.506  0.520  0.534   \n",
       "20                    Guinea          GIN  0.331  0.336  0.342  0.345  0.347   \n",
       "21               Gambia, The          GMB  0.375  0.378  0.383  0.426  0.432   \n",
       "22             Guinea-Bissau          GNB  0.348  0.352  0.355  0.356  0.358   \n",
       "23         Equatorial Guinea          GNQ  0.523  0.526  0.533  0.543  0.552   \n",
       "24                     Kenya          KEN  0.472  0.480  0.491  0.495  0.505   \n",
       "25                   Liberia          LBR  0.301  0.314  0.334  0.346  0.359   \n",
       "26                     Libya          LBY  0.746  0.753  0.760  0.764  0.768   \n",
       "27                   Lesotho          LSO  0.425  0.429  0.431  0.441  0.448   \n",
       "28                   Morocco          MAR  0.558  0.565  0.571  0.577  0.581   \n",
       "29                Madagascar          MDG  0.467  0.472  0.478  0.486  0.485   \n",
       "30                      Mali          MLI  0.312  0.318  0.328  0.332  0.337   \n",
       "31                Mozambique          MOZ  0.287  0.291  0.301  0.306  0.312   \n",
       "32                Mauritania          MRT  0.441  0.450  0.454  0.454  0.461   \n",
       "33                 Mauritius          MUS  0.708  0.715  0.720  0.725  0.727   \n",
       "34                    Malawi          MWI  0.363  0.373  0.381  0.392  0.401   \n",
       "35              North Africa          NAF    NaN    NaN    NaN    NaN    NaN   \n",
       "36                   Namibia          NAM  0.579  0.586  0.592  0.597  0.600   \n",
       "37                     Niger          NER  0.269  0.274  0.278  0.287  0.289   \n",
       "38                   Nigeria          NGA  0.434  0.444  0.448  0.453  0.457   \n",
       "39                    Rwanda          RWA  0.377  0.391  0.400  0.409  0.417   \n",
       "40                     Sudan          SDN  0.390  0.396  0.401  0.405  0.408   \n",
       "41                   Senegal          SEN  0.441  0.445  0.454  0.461  0.462   \n",
       "42              Sierra Leone          SLE  0.315  0.323  0.331  0.336  0.342   \n",
       "43                   Somalia          SOM    NaN    NaN    NaN    NaN    NaN   \n",
       "45               South Sudan          SSD    NaN    NaN    NaN    NaN    NaN   \n",
       "47     Sao Tome and Principe          STP  0.488  0.493  0.503  0.510  0.517   \n",
       "48                 Swaziland          SWZ  0.504  0.511  0.520  0.525  0.528   \n",
       "50                Seychelles          SYC  0.781  0.785  0.792  0.793  0.795   \n",
       "51                      Chad          TCD  0.317  0.316  0.319  0.321  0.331   \n",
       "52                      Togo          TGO  0.436  0.443  0.442  0.445  0.448   \n",
       "53                   Tunisia          TUN  0.679  0.687  0.694  0.700  0.705   \n",
       "54                  Tanzania          TZA  0.395  0.401  0.408  0.414  0.458   \n",
       "55                    Uganda          UGA  0.408  0.417  0.427  0.437  0.445   \n",
       "57              South Africa          ZAF  0.604  0.606  0.609  0.613  0.616   \n",
       "58                    Zambia          ZMB  0.399  0.405  0.411  0.420  0.431   \n",
       "59                  Zimbabwe          ZWE  0.352  0.353  0.355  0.345  0.359   \n",
       "\n",
       "     2010   2011  \n",
       "1   0.502  0.504  \n",
       "2   0.348  0.352  \n",
       "3   0.432  0.434  \n",
       "4   0.334  0.340  \n",
       "5   0.633  0.634  \n",
       "6   0.344  0.348  \n",
       "7   0.427  0.426  \n",
       "8   0.488  0.492  \n",
       "9   0.295  0.299  \n",
       "10  0.529  0.531  \n",
       "11  0.426  0.428  \n",
       "12  0.581  0.584  \n",
       "13  0.431  0.442  \n",
       "14  0.710  0.711  \n",
       "15  0.661  0.661  \n",
       "16  0.342  0.346  \n",
       "17  0.387  0.392  \n",
       "18  0.676  0.679  \n",
       "19  0.540  0.553  \n",
       "20  0.349  0.352  \n",
       "21  0.437  0.440  \n",
       "22  0.361  0.364  \n",
       "23  0.547  0.551  \n",
       "24  0.511  0.515  \n",
       "25  0.367  0.381  \n",
       "26  0.773  0.725  \n",
       "27  0.452  0.456  \n",
       "28  0.586  0.589  \n",
       "29  0.484  0.483  \n",
       "30  0.344  0.347  \n",
       "31  0.318  0.322  \n",
       "32  0.464  0.464  \n",
       "33  0.732  0.735  \n",
       "34  0.413  0.415  \n",
       "35    NaN    NaN  \n",
       "36  0.604  0.606  \n",
       "37  0.298  0.297  \n",
       "38  0.462  0.467  \n",
       "39  0.425  0.429  \n",
       "40  0.411  0.419  \n",
       "41  0.470  0.471  \n",
       "42  0.346  0.348  \n",
       "43    NaN    NaN  \n",
       "45    NaN    NaN  \n",
       "47  0.520  0.522  \n",
       "48  0.532  0.536  \n",
       "50  0.799  0.804  \n",
       "51  0.336  0.336  \n",
       "52  0.452  0.455  \n",
       "53  0.710  0.710  \n",
       "54  0.466  0.470  \n",
       "55  0.450  0.454  \n",
       "57  0.621  0.625  \n",
       "58  0.438  0.443  \n",
       "59  0.374  0.387  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawhdi1 = rawhdi.drop([0, 44, 46, 49, 56])\n",
    "rawhdi1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "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>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>BDI</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Benin</td>\n",
       "      <td>BEN</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>BFA</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Botswana</td>\n",
       "      <td>BWA</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.604</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>380</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>TZA</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>UGA</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.387</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>385 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Country Name Country Code variable  value\n",
       "0          Angola          AGO     2005  0.406\n",
       "1         Burundi          BDI     2005  0.298\n",
       "2           Benin          BEN     2005  0.414\n",
       "3    Burkina Faso          BFA     2005  0.301\n",
       "4        Botswana          BWA     2005  0.604\n",
       "..            ...          ...      ...    ...\n",
       "380      Tanzania          TZA     2011  0.470\n",
       "381        Uganda          UGA     2011  0.454\n",
       "382  South Africa          ZAF     2011  0.625\n",
       "383        Zambia          ZMB     2011  0.443\n",
       "384      Zimbabwe          ZWE     2011  0.387\n",
       "\n",
       "[385 rows x 4 columns]"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hdi_df = pd.melt(rawhdi1, id_vars=['Country Name', 'Country Code'])\n",
    "hdi_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "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",
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       "        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>CNTRY_NAME</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>year</th>\n",
       "      <th>HDI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>BDI</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Benin</td>\n",
       "      <td>BEN</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>BFA</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Botswana</td>\n",
       "      <td>BWA</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.604</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>380</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>TZA</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>UGA</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>2011</td>\n",
       "      <td>0.387</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>385 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       CNTRY_NAME Country Code  year    HDI\n",
       "0          Angola          AGO  2005  0.406\n",
       "1         Burundi          BDI  2005  0.298\n",
       "2           Benin          BEN  2005  0.414\n",
       "3    Burkina Faso          BFA  2005  0.301\n",
       "4        Botswana          BWA  2005  0.604\n",
       "..            ...          ...   ...    ...\n",
       "380      Tanzania          TZA  2011  0.470\n",
       "381        Uganda          UGA  2011  0.454\n",
       "382  South Africa          ZAF  2011  0.625\n",
       "383        Zambia          ZMB  2011  0.443\n",
       "384      Zimbabwe          ZWE  2011  0.387\n",
       "\n",
       "[385 rows x 4 columns]"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hdi_df.rename(columns={'variable':'year', 'value':'HDI', 'Country Name':'CNTRY_NAME'},inplace=True)\n",
    "hdi_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "hdi_df.loc[hdi_df['CNTRY_NAME']=='Congo, Dem. Rep.', 'CNTRY_NAME'] = 'Dem Rep Congo'\n",
    "hdi_df.loc[hdi_df['CNTRY_NAME']=='Congo, Rep.', 'CNTRY_NAME'] = 'Rep Congo'\n",
    "hdi_df.loc[hdi_df['CNTRY_NAME']=='Swaziland', 'CNTRY_NAME'] = 'Eswatini'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "hdi_df.to_pickle('data/hdi_df_pickle.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare Confirmed Cases data(Cumulative)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "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>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>Country_Region</th>\n",
       "      <th>Last_Update</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long_</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>133.000000</td>\n",
       "      <td>-25.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2020/07/12 06:34:23+00</td>\n",
       "      <td>-25.000000</td>\n",
       "      <td>133.000000</td>\n",
       "      <td>9797</td>\n",
       "      <td>108</td>\n",
       "      <td>7727.0</td>\n",
       "      <td>1962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14.550100</td>\n",
       "      <td>47.516200</td>\n",
       "      <td>2</td>\n",
       "      <td>Austria</td>\n",
       "      <td>2020/07/12 06:34:23+00</td>\n",
       "      <td>47.516200</td>\n",
       "      <td>14.550100</td>\n",
       "      <td>18783</td>\n",
       "      <td>706</td>\n",
       "      <td>16864.0</td>\n",
       "      <td>1213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-95.001000</td>\n",
       "      <td>60.001000</td>\n",
       "      <td>3</td>\n",
       "      <td>Canada</td>\n",
       "      <td>2020/07/12 06:34:23+00</td>\n",
       "      <td>60.001000</td>\n",
       "      <td>-95.001000</td>\n",
       "      <td>109150</td>\n",
       "      <td>8818</td>\n",
       "      <td>72784.0</td>\n",
       "      <td>27549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>114.305500</td>\n",
       "      <td>30.592800</td>\n",
       "      <td>4</td>\n",
       "      <td>China</td>\n",
       "      <td>2020/07/12 06:34:23+00</td>\n",
       "      <td>30.592800</td>\n",
       "      <td>114.305500</td>\n",
       "      <td>85071</td>\n",
       "      <td>4641</td>\n",
       "      <td>79876.0</td>\n",
       "      <td>554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9.501800</td>\n",
       "      <td>56.263900</td>\n",
       "      <td>5</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>2020/07/12 06:34:23+00</td>\n",
       "      <td>56.263900</td>\n",
       "      <td>9.501800</td>\n",
       "      <td>13147</td>\n",
       "      <td>609</td>\n",
       "      <td>12278.0</td>\n",
       "      <td>260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>35.233200</td>\n",
       "      <td>31.952200</td>\n",
       "      <td>184</td>\n",
       "      <td>West Bank and Gaza</td>\n",
       "      <td>2020/07/12 06:34:23+00</td>\n",
       "      <td>31.952200</td>\n",
       "      <td>35.233200</td>\n",
       "      <td>5931</td>\n",
       "      <td>33</td>\n",
       "      <td>536.0</td>\n",
       "      <td>5362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>-12.885800</td>\n",
       "      <td>24.215500</td>\n",
       "      <td>185</td>\n",
       "      <td>Western Sahara</td>\n",
       "      <td>2020/07/12 06:34:23+00</td>\n",
       "      <td>24.215500</td>\n",
       "      <td>-12.885800</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>48.516388</td>\n",
       "      <td>15.552727</td>\n",
       "      <td>186</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>2020/07/12 06:34:23+00</td>\n",
       "      <td>15.552727</td>\n",
       "      <td>48.516388</td>\n",
       "      <td>1389</td>\n",
       "      <td>365</td>\n",
       "      <td>642.0</td>\n",
       "      <td>382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>27.849332</td>\n",
       "      <td>-13.133897</td>\n",
       "      <td>187</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>2020/07/12 06:34:23+00</td>\n",
       "      <td>-13.133897</td>\n",
       "      <td>27.849332</td>\n",
       "      <td>1895</td>\n",
       "      <td>42</td>\n",
       "      <td>1348.0</td>\n",
       "      <td>505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>29.154857</td>\n",
       "      <td>-19.015438</td>\n",
       "      <td>188</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>2020/07/12 06:34:23+00</td>\n",
       "      <td>-19.015438</td>\n",
       "      <td>29.154857</td>\n",
       "      <td>982</td>\n",
       "      <td>18</td>\n",
       "      <td>320.0</td>\n",
       "      <td>644</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>188 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              X          Y  OBJECTID      Country_Region  \\\n",
       "0    133.000000 -25.000000         1           Australia   \n",
       "1     14.550100  47.516200         2             Austria   \n",
       "2    -95.001000  60.001000         3              Canada   \n",
       "3    114.305500  30.592800         4               China   \n",
       "4      9.501800  56.263900         5             Denmark   \n",
       "..          ...        ...       ...                 ...   \n",
       "183   35.233200  31.952200       184  West Bank and Gaza   \n",
       "184  -12.885800  24.215500       185      Western Sahara   \n",
       "185   48.516388  15.552727       186               Yemen   \n",
       "186   27.849332 -13.133897       187              Zambia   \n",
       "187   29.154857 -19.015438       188            Zimbabwe   \n",
       "\n",
       "                Last_Update        Lat       Long_  Confirmed  Deaths  \\\n",
       "0    2020/07/12 06:34:23+00 -25.000000  133.000000       9797     108   \n",
       "1    2020/07/12 06:34:23+00  47.516200   14.550100      18783     706   \n",
       "2    2020/07/12 06:34:23+00  60.001000  -95.001000     109150    8818   \n",
       "3    2020/07/12 06:34:23+00  30.592800  114.305500      85071    4641   \n",
       "4    2020/07/12 06:34:23+00  56.263900    9.501800      13147     609   \n",
       "..                      ...        ...         ...        ...     ...   \n",
       "183  2020/07/12 06:34:23+00  31.952200   35.233200       5931      33   \n",
       "184  2020/07/12 06:34:23+00  24.215500  -12.885800         10       1   \n",
       "185  2020/07/12 06:34:23+00  15.552727   48.516388       1389     365   \n",
       "186  2020/07/12 06:34:23+00 -13.133897   27.849332       1895      42   \n",
       "187  2020/07/12 06:34:23+00 -19.015438   29.154857        982      18   \n",
       "\n",
       "     Recovered  Active  \n",
       "0       7727.0    1962  \n",
       "1      16864.0    1213  \n",
       "2      72784.0   27549  \n",
       "3      79876.0     554  \n",
       "4      12278.0     260  \n",
       "..         ...     ...  \n",
       "183      536.0    5362  \n",
       "184        8.0       1  \n",
       "185      642.0     382  \n",
       "186     1348.0     505  \n",
       "187      320.0     644  \n",
       "\n",
       "[188 rows x 11 columns]"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cumcases_df = pd.read_csv('data/countrycases.csv')\n",
    "cumcases_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop duplicate columns\n",
    "cumcases_df.drop(['X', 'Y'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Australia', 'Austria', 'Canada', 'China', 'Denmark', 'Finland',\n",
       "       'France', 'Germany', 'Iceland', 'Ireland', 'Italy', 'Netherlands',\n",
       "       'Norway', 'Russia', 'Sweden', 'Switzerland', 'United Kingdom',\n",
       "       'US', 'Spain', 'Mexico', 'Chile', 'Brazil', 'Peru', 'Colombia',\n",
       "       'Japan', 'Ukraine', 'India', 'Pakistan', 'Afghanistan', 'Albania',\n",
       "       'Algeria', 'Andorra', 'Angola', 'Antigua and Barbuda', 'Argentina',\n",
       "       'Armenia', 'Azerbaijan', 'Bahamas', 'Bahrain', 'Bangladesh',\n",
       "       'Barbados', 'Belarus', 'Belgium', 'Belize', 'Benin', 'Bhutan',\n",
       "       'Bolivia', 'Bosnia and Herzegovina', 'Botswana', 'Brunei',\n",
       "       'Bulgaria', 'Burkina Faso', 'Burma', 'Burundi', 'Cabo Verde',\n",
       "       'Cambodia', 'Cameroon', 'Central African Republic', 'Chad',\n",
       "       'Comoros', 'Congo (Brazzaville)', 'Congo (Kinshasa)', 'Costa Rica',\n",
       "       \"Cote d'Ivoire\", 'Croatia', 'Cuba', 'Cyprus', 'Czechia',\n",
       "       'Diamond Princess', 'Djibouti', 'Dominica', 'Dominican Republic',\n",
       "       'Ecuador', 'Egypt', 'El Salvador', 'Equatorial Guinea', 'Eritrea',\n",
       "       'Estonia', 'Eswatini', 'Ethiopia', 'Fiji', 'Gabon', 'Gambia',\n",
       "       'Georgia', 'Ghana', 'Greece', 'Grenada', 'Guatemala', 'Guinea',\n",
       "       'Guinea-Bissau', 'Guyana', 'Haiti', 'Holy See', 'Honduras',\n",
       "       'Hungary', 'Indonesia', 'Iran', 'Iraq', 'Israel', 'Jamaica',\n",
       "       'Jordan', 'Kazakhstan', 'Kenya', 'Korea, South', 'Kosovo',\n",
       "       'Kuwait', 'Kyrgyzstan', 'Laos', 'Latvia', 'Lebanon', 'Lesotho',\n",
       "       'Liberia', 'Libya', 'Liechtenstein', 'Lithuania', 'Luxembourg',\n",
       "       'MS Zaandam', 'Madagascar', 'Malawi', 'Malaysia', 'Maldives',\n",
       "       'Mali', 'Malta', 'Mauritania', 'Mauritius', 'Moldova', 'Monaco',\n",
       "       'Mongolia', 'Montenegro', 'Morocco', 'Mozambique', 'Namibia',\n",
       "       'Nepal', 'New Zealand', 'Nicaragua', 'Niger', 'Nigeria',\n",
       "       'North Macedonia', 'Oman', 'Panama', 'Papua New Guinea',\n",
       "       'Paraguay', 'Philippines', 'Poland', 'Portugal', 'Qatar',\n",
       "       'Romania', 'Rwanda', 'Saint Kitts and Nevis', 'Saint Lucia',\n",
       "       'Saint Vincent and the Grenadines', 'San Marino',\n",
       "       'Sao Tome and Principe', 'Saudi Arabia', 'Senegal', 'Serbia',\n",
       "       'Seychelles', 'Sierra Leone', 'Singapore', 'Slovakia', 'Slovenia',\n",
       "       'Somalia', 'South Africa', 'South Sudan', 'Sri Lanka', 'Sudan',\n",
       "       'Suriname', 'Syria', 'Taiwan*', 'Tajikistan', 'Tanzania',\n",
       "       'Thailand', 'Timor-Leste', 'Togo', 'Trinidad and Tobago',\n",
       "       'Tunisia', 'Turkey', 'Uganda', 'United Arab Emirates', 'Uruguay',\n",
       "       'Uzbekistan', 'Venezuela', 'Vietnam', 'West Bank and Gaza',\n",
       "       'Western Sahara', 'Yemen', 'Zambia', 'Zimbabwe'], dtype=object)"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cumcases_df.Country_Region.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "cumcases_df.loc[cumcases_df['Country_Region']=='Congo (Kinshasa)', 'Country_Region'] = 'Dem Rep Congo'\n",
    "cumcases_df.loc[cumcases_df['Country_Region']=='Congo (Brazzaville)', 'Country_Region'] = 'Rep Congo'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "cumcases_df.to_pickle('data/cumcases_df_pickle.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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