clean_tanzania_indicators_a_little_bit_enriched_dataset.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "pd.options.display.max_columns = None\n",
    "import pandas_profiling as pp\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "tanzania_indicators_bitenriched = pd.read_csv(\"Tanzania_indicators_bitEnriched_c20181120.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>77</th>\n",
       "      <th>725</th>\n",
       "      <th>439</th>\n",
       "      <th>652</th>\n",
       "      <th>758</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>geoUnit</th>\n",
       "      <td>Kilimanjaro</td>\n",
       "      <td>Shinyanga</td>\n",
       "      <td>Kusini Pemba</td>\n",
       "      <td>Rukwa</td>\n",
       "      <td>Singida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <td>2016</td>\n",
       "      <td>2003</td>\n",
       "      <td>2018</td>\n",
       "      <td>1978</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>geoLevel</th>\n",
       "      <td>Region</td>\n",
       "      <td>Region</td>\n",
       "      <td>Region</td>\n",
       "      <td>Region</td>\n",
       "      <td>Region</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>geoGroup</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Tanzania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <td>Both</td>\n",
       "      <td>Both</td>\n",
       "      <td>Both</td>\n",
       "      <td>Both</td>\n",
       "      <td>Both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>All</td>\n",
       "      <td>All</td>\n",
       "      <td>All</td>\n",
       "      <td>All</td>\n",
       "      <td>All</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RegionArea</th>\n",
       "      <td>13250</td>\n",
       "      <td>18901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22792</td>\n",
       "      <td>49340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VLNS</th>\n",
       "      <td>25.5434</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VLNS_num</th>\n",
       "      <td>1187</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VLS</th>\n",
       "      <td>74.4566</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VLS_num</th>\n",
       "      <td>3460</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HCTS</th>\n",
       "      <td>34.6875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lat</th>\n",
       "      <td>-4.13369</td>\n",
       "      <td>-3.66393</td>\n",
       "      <td>-5.3147</td>\n",
       "      <td>-8</td>\n",
       "      <td>-6.74534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lon</th>\n",
       "      <td>37.8088</td>\n",
       "      <td>33.4212</td>\n",
       "      <td>39.755</td>\n",
       "      <td>31.5</td>\n",
       "      <td>34.1532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Population</th>\n",
       "      <td>1.759e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ART2coverage</th>\n",
       "      <td>0.053</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Water_spendingPerCapita</th>\n",
       "      <td>2459.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unigold.HIV.1.2_Test_Eligible</th>\n",
       "      <td>2366</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roads_spendingPerCapita</th>\n",
       "      <td>1178.11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIV.AIDS_spendingPerCapita</th>\n",
       "      <td>571.071</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CumNumPersNotOnART_perc</th>\n",
       "      <td>42.5584</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.3718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agriculture_spendingPerCapita</th>\n",
       "      <td>3398.97</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Stockout</th>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIVprevalence_num</th>\n",
       "      <td>87469</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Eligible</th>\n",
       "      <td>1278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Available</th>\n",
       "      <td>1200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Stockout</th>\n",
       "      <td>162</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Available</th>\n",
       "      <td>1986</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Determine.HIV.1.2_Test_Stockout</th>\n",
       "      <td>92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Determine.HIV.1.2_Test_Unavailable</th>\n",
       "      <td>120</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Determine.HIV.1.2_Test_Available</th>\n",
       "      <td>1736</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIVprevalence</th>\n",
       "      <td>4.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unigold.HIV.1.2_Test_Unavailable</th>\n",
       "      <td>126</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VCTHIVposCases_new</th>\n",
       "      <td>NaN</td>\n",
       "      <td>452</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VCTHIVpos_new_perc</th>\n",
       "      <td>NaN</td>\n",
       "      <td>24.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Determine.HIV.1.2_Test_Eligible</th>\n",
       "      <td>1856</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CumNumPersOnART</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct</th>\n",
       "      <td>0.0399061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable</th>\n",
       "      <td>105</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Others_spendingPerCapita</th>\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>Unigold.HIV.1.2_Test_Unavailable_pct</th>\n",
       "      <td>0.0532544</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Eligible</th>\n",
       "      <td>2166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unigold.HIV.1.2_Test_Stockout</th>\n",
       "      <td>54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Eligible</th>\n",
       "      <td>2192</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct</th>\n",
       "      <td>0.0484765</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Determine.HIV.1.2_Test_Unavailable_pct</th>\n",
       "      <td>0.0646552</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable</th>\n",
       "      <td>87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable_pct</th>\n",
       "      <td>0.0675991</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Administration_spendingPerCapita</th>\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>rptHIVcases</th>\n",
       "      <td>NaN</td>\n",
       "      <td>7972</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Available</th>\n",
       "      <td>2061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Unavailable</th>\n",
       "      <td>206</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VCcases_oldNew</th>\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>CumNumPersEnrolledInHIV</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Available</th>\n",
       "      <td>1227</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health_spendingPerCapita</th>\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>CurrNumPersOnART</th>\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>Unigold.HIV.1.2_Test_Available</th>\n",
       "      <td>2240</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VCTcases_new</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1816</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumPersPerSqKm</th>\n",
       "      <td>133</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                            77         725  \\\n",
       "geoUnit                                             Kilimanjaro  Shinyanga   \n",
       "Year                                                       2016       2003   \n",
       "geoLevel                                                 Region     Region   \n",
       "geoGroup                                               Tanzania   Tanzania   \n",
       "Gender                                                     Both       Both   \n",
       "Age                                                         All        All   \n",
       "RegionArea                                                13250      18901   \n",
       "VLNS                                                    25.5434        NaN   \n",
       "VLNS_num                                                   1187        NaN   \n",
       "VLS                                                     74.4566        NaN   \n",
       "VLS_num                                                    3460        NaN   \n",
       "HCTS                                                    34.6875        NaN   \n",
       "lat                                                    -4.13369   -3.66393   \n",
       "lon                                                     37.8088    33.4212   \n",
       "Population                                            1.759e+06        NaN   \n",
       "ART2coverage                                              0.053        NaN   \n",
       "Water_spendingPerCapita                                  2459.1        NaN   \n",
       "Unigold.HIV.1.2_Test_Eligible                              2366        NaN   \n",
       "Roads_spendingPerCapita                                 1178.11        NaN   \n",
       "HIV.AIDS_spendingPerCapita                              571.071        NaN   \n",
       "CumNumPersNotOnART_perc                                 42.5584        NaN   \n",
       "Agriculture_spendingPerCapita                           3398.97        NaN   \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...           60        NaN   \n",
       "HIVprevalence_num                                         87469        NaN   \n",
       "Efavirenz.600Mg.Tablets_Treatment_Eligible                 1278        NaN   \n",
       "Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg...         1200        NaN   \n",
       "Nevirapine.Oral.Solution_Treatment_Stockout                 162        NaN   \n",
       "Nevirapine.Oral.Solution_Treatment_Available               1986        NaN   \n",
       "Determine.HIV.1.2_Test_Stockout                              92        NaN   \n",
       "Determine.HIV.1.2_Test_Unavailable                          120        NaN   \n",
       "...                                                         ...        ...   \n",
       "Determine.HIV.1.2_Test_Available                           1736        NaN   \n",
       "HIVprevalence                                               4.9        NaN   \n",
       "Unigold.HIV.1.2_Test_Unavailable                            126        NaN   \n",
       "VCTHIVposCases_new                                          NaN        452   \n",
       "VCTHIVpos_new_perc                                          NaN       24.9   \n",
       "Determine.HIV.1.2_Test_Eligible                            1856        NaN   \n",
       "CumNumPersOnART                                             NaN        NaN   \n",
       "Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct     0.0399061        NaN   \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...          105        NaN   \n",
       "Others_spendingPerCapita                                    NaN        NaN   \n",
       "Unigold.HIV.1.2_Test_Unavailable_pct                  0.0532544        NaN   \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...         2166        NaN   \n",
       "Unigold.HIV.1.2_Test_Stockout                                54        NaN   \n",
       "Nevirapine.Oral.Solution_Treatment_Eligible                2192        NaN   \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...    0.0484765        NaN   \n",
       "Determine.HIV.1.2_Test_Unavailable_pct                0.0646552        NaN   \n",
       "Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg...           87        NaN   \n",
       "Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg...    0.0675991        NaN   \n",
       "Administration_spendingPerCapita                            NaN        NaN   \n",
       "rptHIVcases                                                 NaN       7972   \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...         2061        NaN   \n",
       "Nevirapine.Oral.Solution_Treatment_Unavailable              206        NaN   \n",
       "VCcases_oldNew                                              NaN        NaN   \n",
       "CumNumPersEnrolledInHIV                                     NaN        NaN   \n",
       "Efavirenz.600Mg.Tablets_Treatment_Available                1227        NaN   \n",
       "Health_spendingPerCapita                                    NaN        NaN   \n",
       "CurrNumPersOnART                                            NaN        NaN   \n",
       "Unigold.HIV.1.2_Test_Available                             2240        NaN   \n",
       "VCTcases_new                                                NaN       1816   \n",
       "NumPersPerSqKm                                              133        NaN   \n",
       "\n",
       "                                                             439       652  \\\n",
       "geoUnit                                             Kusini Pemba     Rukwa   \n",
       "Year                                                        2018      1978   \n",
       "geoLevel                                                  Region    Region   \n",
       "geoGroup                                                Tanzania  Tanzania   \n",
       "Gender                                                      Both      Both   \n",
       "Age                                                          All       All   \n",
       "RegionArea                                                   NaN     22792   \n",
       "VLNS                                                           0       NaN   \n",
       "VLNS_num                                                       0       NaN   \n",
       "VLS                                                          100       NaN   \n",
       "VLS_num                                                        8       NaN   \n",
       "HCTS                                                         NaN       NaN   \n",
       "lat                                                      -5.3147        -8   \n",
       "lon                                                       39.755      31.5   \n",
       "Population                                                   NaN       NaN   \n",
       "ART2coverage                                                 NaN       NaN   \n",
       "Water_spendingPerCapita                                      NaN       NaN   \n",
       "Unigold.HIV.1.2_Test_Eligible                                NaN       NaN   \n",
       "Roads_spendingPerCapita                                      NaN       NaN   \n",
       "HIV.AIDS_spendingPerCapita                                   NaN       NaN   \n",
       "CumNumPersNotOnART_perc                                      NaN       NaN   \n",
       "Agriculture_spendingPerCapita                                NaN       NaN   \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...           NaN       NaN   \n",
       "HIVprevalence_num                                            NaN       NaN   \n",
       "Efavirenz.600Mg.Tablets_Treatment_Eligible                   NaN       NaN   \n",
       "Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg...           NaN       NaN   \n",
       "Nevirapine.Oral.Solution_Treatment_Stockout                  NaN       NaN   \n",
       "Nevirapine.Oral.Solution_Treatment_Available                 NaN       NaN   \n",
       "Determine.HIV.1.2_Test_Stockout                              NaN       NaN   \n",
       "Determine.HIV.1.2_Test_Unavailable                           NaN       NaN   \n",
       "...                                                          ...       ...   \n",
       "Determine.HIV.1.2_Test_Available                             NaN       NaN   \n",
       "HIVprevalence                                                NaN       NaN   \n",
       "Unigold.HIV.1.2_Test_Unavailable                             NaN       NaN   \n",
       "VCTHIVposCases_new                                           NaN       NaN   \n",
       "VCTHIVpos_new_perc                                           NaN       NaN   \n",
       "Determine.HIV.1.2_Test_Eligible                              NaN       NaN   \n",
       "CumNumPersOnART                                              NaN       NaN   \n",
       "Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct            NaN       NaN   \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...           NaN       NaN   \n",
       "Others_spendingPerCapita                                     NaN       NaN   \n",
       "Unigold.HIV.1.2_Test_Unavailable_pct                         NaN       NaN   \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...           NaN       NaN   \n",
       "Unigold.HIV.1.2_Test_Stockout                                NaN       NaN   \n",
       "Nevirapine.Oral.Solution_Treatment_Eligible                  NaN       NaN   \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...           NaN       NaN   \n",
       "Determine.HIV.1.2_Test_Unavailable_pct                       NaN       NaN   \n",
       "Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg...           NaN       NaN   \n",
       "Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg...           NaN       NaN   \n",
       "Administration_spendingPerCapita                             NaN       NaN   \n",
       "rptHIVcases                                                  NaN       NaN   \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...           NaN       NaN   \n",
       "Nevirapine.Oral.Solution_Treatment_Unavailable               NaN       NaN   \n",
       "VCcases_oldNew                                               NaN       NaN   \n",
       "CumNumPersEnrolledInHIV                                      NaN       NaN   \n",
       "Efavirenz.600Mg.Tablets_Treatment_Available                  NaN       NaN   \n",
       "Health_spendingPerCapita                                     NaN       NaN   \n",
       "CurrNumPersOnART                                             NaN       NaN   \n",
       "Unigold.HIV.1.2_Test_Available                               NaN       NaN   \n",
       "VCTcases_new                                                 NaN       NaN   \n",
       "NumPersPerSqKm                                               NaN       NaN   \n",
       "\n",
       "                                                         758  \n",
       "geoUnit                                              Singida  \n",
       "Year                                                    2006  \n",
       "geoLevel                                              Region  \n",
       "geoGroup                                            Tanzania  \n",
       "Gender                                                  Both  \n",
       "Age                                                      All  \n",
       "RegionArea                                             49340  \n",
       "VLNS                                                     NaN  \n",
       "VLNS_num                                                 NaN  \n",
       "VLS                                                      NaN  \n",
       "VLS_num                                                  NaN  \n",
       "HCTS                                                     NaN  \n",
       "lat                                                 -6.74534  \n",
       "lon                                                  34.1532  \n",
       "Population                                               NaN  \n",
       "ART2coverage                                             NaN  \n",
       "Water_spendingPerCapita                                  NaN  \n",
       "Unigold.HIV.1.2_Test_Eligible                            NaN  \n",
       "Roads_spendingPerCapita                                  NaN  \n",
       "HIV.AIDS_spendingPerCapita                               NaN  \n",
       "CumNumPersNotOnART_perc                              42.3718  \n",
       "Agriculture_spendingPerCapita                            NaN  \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...       NaN  \n",
       "HIVprevalence_num                                        NaN  \n",
       "Efavirenz.600Mg.Tablets_Treatment_Eligible               NaN  \n",
       "Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg...       NaN  \n",
       "Nevirapine.Oral.Solution_Treatment_Stockout              NaN  \n",
       "Nevirapine.Oral.Solution_Treatment_Available             NaN  \n",
       "Determine.HIV.1.2_Test_Stockout                          NaN  \n",
       "Determine.HIV.1.2_Test_Unavailable                       NaN  \n",
       "...                                                      ...  \n",
       "Determine.HIV.1.2_Test_Available                         NaN  \n",
       "HIVprevalence                                            NaN  \n",
       "Unigold.HIV.1.2_Test_Unavailable                         NaN  \n",
       "VCTHIVposCases_new                                       NaN  \n",
       "VCTHIVpos_new_perc                                       NaN  \n",
       "Determine.HIV.1.2_Test_Eligible                          NaN  \n",
       "CumNumPersOnART                                          899  \n",
       "Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct        NaN  \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...       NaN  \n",
       "Others_spendingPerCapita                                 NaN  \n",
       "Unigold.HIV.1.2_Test_Unavailable_pct                     NaN  \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...       NaN  \n",
       "Unigold.HIV.1.2_Test_Stockout                            NaN  \n",
       "Nevirapine.Oral.Solution_Treatment_Eligible              NaN  \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...       NaN  \n",
       "Determine.HIV.1.2_Test_Unavailable_pct                   NaN  \n",
       "Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg...       NaN  \n",
       "Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg...       NaN  \n",
       "Administration_spendingPerCapita                         NaN  \n",
       "rptHIVcases                                              NaN  \n",
       "Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600M...       NaN  \n",
       "Nevirapine.Oral.Solution_Treatment_Unavailable           NaN  \n",
       "VCcases_oldNew                                           NaN  \n",
       "CumNumPersEnrolledInHIV                                 1560  \n",
       "Efavirenz.600Mg.Tablets_Treatment_Available              NaN  \n",
       "Health_spendingPerCapita                                 NaN  \n",
       "CurrNumPersOnART                                         NaN  \n",
       "Unigold.HIV.1.2_Test_Available                           NaN  \n",
       "VCTcases_new                                             NaN  \n",
       "NumPersPerSqKm                                           NaN  \n",
       "\n",
       "[67 rows x 5 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tanzania_indicators_bitenriched.sample(5).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#pp.ProfileReport(tanzania_indicators_bitenriched).to_file(outputfile=\"tanzania_indicatos_report.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "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>geoUnit</th>\n",
       "      <th>Year</th>\n",
       "      <th>geoLevel</th>\n",
       "      <th>geoGroup</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>RegionArea</th>\n",
       "      <th>VLNS</th>\n",
       "      <th>VLNS_num</th>\n",
       "      <th>VLS</th>\n",
       "      <th>VLS_num</th>\n",
       "      <th>HCTS</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>Population</th>\n",
       "      <th>ART2coverage</th>\n",
       "      <th>Water_spendingPerCapita</th>\n",
       "      <th>Unigold.HIV.1.2_Test_Eligible</th>\n",
       "      <th>Roads_spendingPerCapita</th>\n",
       "      <th>HIV.AIDS_spendingPerCapita</th>\n",
       "      <th>CumNumPersNotOnART_perc</th>\n",
       "      <th>Agriculture_spendingPerCapita</th>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Stockout</th>\n",
       "      <th>HIVprevalence_num</th>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Eligible</th>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Available</th>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Stockout</th>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Available</th>\n",
       "      <th>Determine.HIV.1.2_Test_Stockout</th>\n",
       "      <th>Determine.HIV.1.2_Test_Unavailable</th>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Unavailable_pct</th>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Stockout</th>\n",
       "      <th>ANCSTR</th>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Unavailable</th>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Stockout</th>\n",
       "      <th>VCcases_new</th>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Eligible</th>\n",
       "      <th>Determine.HIV.1.2_Test_Available</th>\n",
       "      <th>HIVprevalence</th>\n",
       "      <th>Unigold.HIV.1.2_Test_Unavailable</th>\n",
       "      <th>VCTHIVposCases_new</th>\n",
       "      <th>VCTHIVpos_new_perc</th>\n",
       "      <th>Determine.HIV.1.2_Test_Eligible</th>\n",
       "      <th>CumNumPersOnART</th>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct</th>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable</th>\n",
       "      <th>Others_spendingPerCapita</th>\n",
       "      <th>Unigold.HIV.1.2_Test_Unavailable_pct</th>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Eligible</th>\n",
       "      <th>Unigold.HIV.1.2_Test_Stockout</th>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Eligible</th>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct</th>\n",
       "      <th>Determine.HIV.1.2_Test_Unavailable_pct</th>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable</th>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable_pct</th>\n",
       "      <th>Administration_spendingPerCapita</th>\n",
       "      <th>rptHIVcases</th>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Available</th>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Unavailable</th>\n",
       "      <th>VCcases_oldNew</th>\n",
       "      <th>CumNumPersEnrolledInHIV</th>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Available</th>\n",
       "      <th>Health_spendingPerCapita</th>\n",
       "      <th>CurrNumPersOnART</th>\n",
       "      <th>Unigold.HIV.1.2_Test_Available</th>\n",
       "      <th>VCTcases_new</th>\n",
       "      <th>NumPersPerSqKm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Arusha</td>\n",
       "      <td>2016</td>\n",
       "      <td>Region</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Both</td>\n",
       "      <td>All</td>\n",
       "      <td>37576.0</td>\n",
       "      <td>24.433249</td>\n",
       "      <td>97.0</td>\n",
       "      <td>75.566751</td>\n",
       "      <td>300.0</td>\n",
       "      <td>27.750000</td>\n",
       "      <td>-2.758363</td>\n",
       "      <td>36.263085</td>\n",
       "      <td>1890700.000</td>\n",
       "      <td>0.0400</td>\n",
       "      <td>1773.294197</td>\n",
       "      <td>2896.0</td>\n",
       "      <td>218.636574</td>\n",
       "      <td>571.071183</td>\n",
       "      <td>59.328245</td>\n",
       "      <td>1841.650547</td>\n",
       "      <td>171.0</td>\n",
       "      <td>117471.666667</td>\n",
       "      <td>1334.0</td>\n",
       "      <td>1136.0</td>\n",
       "      <td>313.0</td>\n",
       "      <td>1865.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>236.0</td>\n",
       "      <td>0.144888</td>\n",
       "      <td>226.0</td>\n",
       "      <td>0.597633</td>\n",
       "      <td>235.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1349.0</td>\n",
       "      <td>2070.0</td>\n",
       "      <td>3.166667</td>\n",
       "      <td>154.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2306.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.176162</td>\n",
       "      <td>185.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.053177</td>\n",
       "      <td>2211.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>2181.0</td>\n",
       "      <td>0.083673</td>\n",
       "      <td>0.102342</td>\n",
       "      <td>213.0</td>\n",
       "      <td>0.157895</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2026.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1099.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2742.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Kilimanjaro</td>\n",
       "      <td>2016</td>\n",
       "      <td>Region</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Both</td>\n",
       "      <td>All</td>\n",
       "      <td>13250.0</td>\n",
       "      <td>25.543361</td>\n",
       "      <td>1187.0</td>\n",
       "      <td>74.456639</td>\n",
       "      <td>3460.0</td>\n",
       "      <td>34.687500</td>\n",
       "      <td>-4.133693</td>\n",
       "      <td>37.808769</td>\n",
       "      <td>1759000.000</td>\n",
       "      <td>0.0530</td>\n",
       "      <td>2459.098367</td>\n",
       "      <td>2366.0</td>\n",
       "      <td>1178.111882</td>\n",
       "      <td>571.071183</td>\n",
       "      <td>42.558365</td>\n",
       "      <td>3398.967196</td>\n",
       "      <td>60.0</td>\n",
       "      <td>87469.000000</td>\n",
       "      <td>1278.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>1986.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.093978</td>\n",
       "      <td>63.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1287.0</td>\n",
       "      <td>1736.0</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1856.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.039906</td>\n",
       "      <td>105.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.053254</td>\n",
       "      <td>2166.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>2192.0</td>\n",
       "      <td>0.048476</td>\n",
       "      <td>0.064655</td>\n",
       "      <td>87.0</td>\n",
       "      <td>0.067599</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2061.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1227.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Mbeya</td>\n",
       "      <td>2016</td>\n",
       "      <td>Region</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Both</td>\n",
       "      <td>All</td>\n",
       "      <td>60350.0</td>\n",
       "      <td>26.538430</td>\n",
       "      <td>3256.0</td>\n",
       "      <td>73.461570</td>\n",
       "      <td>9013.0</td>\n",
       "      <td>38.373843</td>\n",
       "      <td>-8.909401</td>\n",
       "      <td>33.460774</td>\n",
       "      <td>3019400.000</td>\n",
       "      <td>0.0180</td>\n",
       "      <td>1901.891932</td>\n",
       "      <td>2342.0</td>\n",
       "      <td>765.524170</td>\n",
       "      <td>202.014939</td>\n",
       "      <td>47.466590</td>\n",
       "      <td>2622.572823</td>\n",
       "      <td>84.0</td>\n",
       "      <td>243667.000000</td>\n",
       "      <td>672.0</td>\n",
       "      <td>686.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>1975.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>0.035173</td>\n",
       "      <td>168.0</td>\n",
       "      <td>0.569885</td>\n",
       "      <td>6.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>70354.000000</td>\n",
       "      <td>716.0</td>\n",
       "      <td>1751.0</td>\n",
       "      <td>9.150000</td>\n",
       "      <td>121.0</td>\n",
       "      <td>34681.0</td>\n",
       "      <td>16.85</td>\n",
       "      <td>1864.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.008929</td>\n",
       "      <td>54.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.051665</td>\n",
       "      <td>2023.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>2047.0</td>\n",
       "      <td>0.026693</td>\n",
       "      <td>0.060622</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.041899</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1969.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>666.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2221.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>Songwe</td>\n",
       "      <td>2016</td>\n",
       "      <td>Region</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Both</td>\n",
       "      <td>All</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.583333</td>\n",
       "      <td>-9.704078</td>\n",
       "      <td>33.912447</td>\n",
       "      <td>1816449.125</td>\n",
       "      <td>0.0054</td>\n",
       "      <td>2236.710812</td>\n",
       "      <td>1285.0</td>\n",
       "      <td>3180.562842</td>\n",
       "      <td>401.268971</td>\n",
       "      <td>41.912085</td>\n",
       "      <td>3904.623347</td>\n",
       "      <td>118.0</td>\n",
       "      <td>71950.500000</td>\n",
       "      <td>538.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1009.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.121080</td>\n",
       "      <td>145.0</td>\n",
       "      <td>0.270123</td>\n",
       "      <td>145.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>49896.750000</td>\n",
       "      <td>546.0</td>\n",
       "      <td>892.0</td>\n",
       "      <td>4.255556</td>\n",
       "      <td>57.0</td>\n",
       "      <td>12710.0</td>\n",
       "      <td>15.80</td>\n",
       "      <td>965.0</td>\n",
       "      <td>43537.333333</td>\n",
       "      <td>0.269517</td>\n",
       "      <td>139.0</td>\n",
       "      <td>9769.448489</td>\n",
       "      <td>0.044358</td>\n",
       "      <td>1079.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1148.0</td>\n",
       "      <td>0.128823</td>\n",
       "      <td>0.075648</td>\n",
       "      <td>132.0</td>\n",
       "      <td>0.241758</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>940.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>393.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1228.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Iringa</td>\n",
       "      <td>2016</td>\n",
       "      <td>Region</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Both</td>\n",
       "      <td>All</td>\n",
       "      <td>35503.0</td>\n",
       "      <td>14.792176</td>\n",
       "      <td>121.0</td>\n",
       "      <td>85.207824</td>\n",
       "      <td>697.0</td>\n",
       "      <td>39.083333</td>\n",
       "      <td>-7.788744</td>\n",
       "      <td>35.565786</td>\n",
       "      <td>984900.000</td>\n",
       "      <td>0.0260</td>\n",
       "      <td>2333.700617</td>\n",
       "      <td>1548.0</td>\n",
       "      <td>935.134001</td>\n",
       "      <td>211.752127</td>\n",
       "      <td>40.061421</td>\n",
       "      <td>3396.919832</td>\n",
       "      <td>79.0</td>\n",
       "      <td>85653.000000</td>\n",
       "      <td>983.0</td>\n",
       "      <td>801.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>1435.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>0.081894</td>\n",
       "      <td>274.0</td>\n",
       "      <td>0.750339</td>\n",
       "      <td>193.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>50211.000000</td>\n",
       "      <td>958.0</td>\n",
       "      <td>830.0</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>158.0</td>\n",
       "      <td>33251.0</td>\n",
       "      <td>11.00</td>\n",
       "      <td>942.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.196338</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.102067</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>1563.0</td>\n",
       "      <td>0.055484</td>\n",
       "      <td>0.118896</td>\n",
       "      <td>157.0</td>\n",
       "      <td>0.163883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1464.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>790.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1390.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Morogoro</td>\n",
       "      <td>2016</td>\n",
       "      <td>Region</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Both</td>\n",
       "      <td>All</td>\n",
       "      <td>70624.0</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.239198</td>\n",
       "      <td>-8.230643</td>\n",
       "      <td>36.954107</td>\n",
       "      <td>2437400.000</td>\n",
       "      <td>0.0730</td>\n",
       "      <td>1681.822413</td>\n",
       "      <td>2549.0</td>\n",
       "      <td>304.384014</td>\n",
       "      <td>259.524033</td>\n",
       "      <td>54.653967</td>\n",
       "      <td>1692.637627</td>\n",
       "      <td>230.0</td>\n",
       "      <td>90599.854167</td>\n",
       "      <td>1149.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2115.0</td>\n",
       "      <td>311.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>0.082827</td>\n",
       "      <td>323.0</td>\n",
       "      <td>0.376884</td>\n",
       "      <td>225.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1140.0</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>184.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2294.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.195822</td>\n",
       "      <td>135.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.072185</td>\n",
       "      <td>2205.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>2306.0</td>\n",
       "      <td>0.061224</td>\n",
       "      <td>0.129904</td>\n",
       "      <td>206.0</td>\n",
       "      <td>0.180702</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2070.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>924.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2365.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Simiyu</td>\n",
       "      <td>2016</td>\n",
       "      <td>Region</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Both</td>\n",
       "      <td>All</td>\n",
       "      <td>25212.0</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.953704</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>34.250000</td>\n",
       "      <td>1705200.000</td>\n",
       "      <td>0.0270</td>\n",
       "      <td>1967.829964</td>\n",
       "      <td>1557.0</td>\n",
       "      <td>1576.006907</td>\n",
       "      <td>342.119220</td>\n",
       "      <td>42.313735</td>\n",
       "      <td>3055.379670</td>\n",
       "      <td>73.0</td>\n",
       "      <td>45231.000000</td>\n",
       "      <td>688.0</td>\n",
       "      <td>597.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1349.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>0.085424</td>\n",
       "      <td>116.0</td>\n",
       "      <td>0.472160</td>\n",
       "      <td>84.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>10607.333333</td>\n",
       "      <td>695.0</td>\n",
       "      <td>1306.0</td>\n",
       "      <td>4.033333</td>\n",
       "      <td>121.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.85</td>\n",
       "      <td>1427.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.122093</td>\n",
       "      <td>108.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.077714</td>\n",
       "      <td>1429.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1475.0</td>\n",
       "      <td>0.075577</td>\n",
       "      <td>0.084793</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0.141007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1321.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>604.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1436.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>Mjini Magharibi</td>\n",
       "      <td>2016</td>\n",
       "      <td>Region</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Both</td>\n",
       "      <td>All</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.156250</td>\n",
       "      <td>154.0</td>\n",
       "      <td>39.843750</td>\n",
       "      <td>102.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-6.229814</td>\n",
       "      <td>39.258329</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",
       "      <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",
       "      <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",
       "      <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",
       "      <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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>Pwani</td>\n",
       "      <td>2016</td>\n",
       "      <td>Region</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Both</td>\n",
       "      <td>All</td>\n",
       "      <td>32547.0</td>\n",
       "      <td>14.311759</td>\n",
       "      <td>314.0</td>\n",
       "      <td>85.688241</td>\n",
       "      <td>1880.0</td>\n",
       "      <td>33.551854</td>\n",
       "      <td>-7.323771</td>\n",
       "      <td>38.820545</td>\n",
       "      <td>1197900.000</td>\n",
       "      <td>0.0380</td>\n",
       "      <td>4083.884632</td>\n",
       "      <td>2375.0</td>\n",
       "      <td>2270.361367</td>\n",
       "      <td>280.186307</td>\n",
       "      <td>47.380422</td>\n",
       "      <td>4595.486141</td>\n",
       "      <td>147.0</td>\n",
       "      <td>64821.000000</td>\n",
       "      <td>1130.0</td>\n",
       "      <td>943.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>1791.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>0.104948</td>\n",
       "      <td>228.0</td>\n",
       "      <td>0.284123</td>\n",
       "      <td>221.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>31987.000000</td>\n",
       "      <td>1180.0</td>\n",
       "      <td>1850.0</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>182.0</td>\n",
       "      <td>22719.0</td>\n",
       "      <td>11.10</td>\n",
       "      <td>2127.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.195575</td>\n",
       "      <td>204.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.076632</td>\n",
       "      <td>1943.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>0.104992</td>\n",
       "      <td>0.130230</td>\n",
       "      <td>237.0</td>\n",
       "      <td>0.200847</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1739.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>909.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2193.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Mara</td>\n",
       "      <td>2016</td>\n",
       "      <td>Region</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Both</td>\n",
       "      <td>All</td>\n",
       "      <td>21760.0</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.062500</td>\n",
       "      <td>-1.775354</td>\n",
       "      <td>34.153195</td>\n",
       "      <td>1924200.000</td>\n",
       "      <td>0.0280</td>\n",
       "      <td>1879.792795</td>\n",
       "      <td>2187.0</td>\n",
       "      <td>1164.421575</td>\n",
       "      <td>214.509661</td>\n",
       "      <td>47.160461</td>\n",
       "      <td>2969.821493</td>\n",
       "      <td>267.0</td>\n",
       "      <td>104129.555556</td>\n",
       "      <td>896.0</td>\n",
       "      <td>776.0</td>\n",
       "      <td>329.0</td>\n",
       "      <td>1853.0</td>\n",
       "      <td>489.0</td>\n",
       "      <td>348.0</td>\n",
       "      <td>0.114245</td>\n",
       "      <td>376.0</td>\n",
       "      <td>0.616216</td>\n",
       "      <td>144.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>908.0</td>\n",
       "      <td>1617.0</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1965.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.160714</td>\n",
       "      <td>159.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.137174</td>\n",
       "      <td>2056.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>2092.0</td>\n",
       "      <td>0.077335</td>\n",
       "      <td>0.177099</td>\n",
       "      <td>132.0</td>\n",
       "      <td>0.145374</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1897.0</td>\n",
       "      <td>239.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>752.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1887.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             geoUnit  Year geoLevel  geoGroup Gender  Age  RegionArea  \\\n",
       "7             Arusha  2016   Region  Tanzania   Both  All     37576.0   \n",
       "77       Kilimanjaro  2016   Region  Tanzania   Both  All     13250.0   \n",
       "117            Mbeya  2016   Region  Tanzania   Both  All     60350.0   \n",
       "212           Songwe  2016   Region  Tanzania   Both  All         NaN   \n",
       "42            Iringa  2016   Region  Tanzania   Both  All     35503.0   \n",
       "127         Morogoro  2016   Region  Tanzania   Both  All     70624.0   \n",
       "197           Simiyu  2016   Region  Tanzania   Both  All     25212.0   \n",
       "541  Mjini Magharibi  2016   Region  Tanzania   Both  All         NaN   \n",
       "162            Pwani  2016   Region  Tanzania   Both  All     32547.0   \n",
       "107             Mara  2016   Region  Tanzania   Both  All     21760.0   \n",
       "\n",
       "           VLNS  VLNS_num        VLS  VLS_num       HCTS       lat        lon  \\\n",
       "7     24.433249      97.0  75.566751    300.0  27.750000 -2.758363  36.263085   \n",
       "77    25.543361    1187.0  74.456639   3460.0  34.687500 -4.133693  37.808769   \n",
       "117   26.538430    3256.0  73.461570   9013.0  38.373843 -8.909401  33.460774   \n",
       "212         NaN       NaN        NaN      NaN  40.583333 -9.704078  33.912447   \n",
       "42    14.792176     121.0  85.207824    697.0  39.083333 -7.788744  35.565786   \n",
       "127  100.000000       0.0   0.000000      0.0  29.239198 -8.230643  36.954107   \n",
       "197  100.000000       0.0   0.000000      0.0  39.953704 -3.000000  34.250000   \n",
       "541   60.156250     154.0  39.843750    102.0        NaN -6.229814  39.258329   \n",
       "162   14.311759     314.0  85.688241   1880.0  33.551854 -7.323771  38.820545   \n",
       "107  100.000000       0.0   0.000000      0.0  30.062500 -1.775354  34.153195   \n",
       "\n",
       "      Population  ART2coverage  Water_spendingPerCapita  \\\n",
       "7    1890700.000        0.0400              1773.294197   \n",
       "77   1759000.000        0.0530              2459.098367   \n",
       "117  3019400.000        0.0180              1901.891932   \n",
       "212  1816449.125        0.0054              2236.710812   \n",
       "42    984900.000        0.0260              2333.700617   \n",
       "127  2437400.000        0.0730              1681.822413   \n",
       "197  1705200.000        0.0270              1967.829964   \n",
       "541          NaN           NaN                      NaN   \n",
       "162  1197900.000        0.0380              4083.884632   \n",
       "107  1924200.000        0.0280              1879.792795   \n",
       "\n",
       "     Unigold.HIV.1.2_Test_Eligible  Roads_spendingPerCapita  \\\n",
       "7                           2896.0               218.636574   \n",
       "77                          2366.0              1178.111882   \n",
       "117                         2342.0               765.524170   \n",
       "212                         1285.0              3180.562842   \n",
       "42                          1548.0               935.134001   \n",
       "127                         2549.0               304.384014   \n",
       "197                         1557.0              1576.006907   \n",
       "541                            NaN                      NaN   \n",
       "162                         2375.0              2270.361367   \n",
       "107                         2187.0              1164.421575   \n",
       "\n",
       "     HIV.AIDS_spendingPerCapita  CumNumPersNotOnART_perc  \\\n",
       "7                    571.071183                59.328245   \n",
       "77                   571.071183                42.558365   \n",
       "117                  202.014939                47.466590   \n",
       "212                  401.268971                41.912085   \n",
       "42                   211.752127                40.061421   \n",
       "127                  259.524033                54.653967   \n",
       "197                  342.119220                42.313735   \n",
       "541                         NaN                      NaN   \n",
       "162                  280.186307                47.380422   \n",
       "107                  214.509661                47.160461   \n",
       "\n",
       "     Agriculture_spendingPerCapita  \\\n",
       "7                      1841.650547   \n",
       "77                     3398.967196   \n",
       "117                    2622.572823   \n",
       "212                    3904.623347   \n",
       "42                     3396.919832   \n",
       "127                    1692.637627   \n",
       "197                    3055.379670   \n",
       "541                            NaN   \n",
       "162                    4595.486141   \n",
       "107                    2969.821493   \n",
       "\n",
       "     Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Stockout  \\\n",
       "7                                                171.0                             \n",
       "77                                                60.0                             \n",
       "117                                               84.0                             \n",
       "212                                              118.0                             \n",
       "42                                                79.0                             \n",
       "127                                              230.0                             \n",
       "197                                               73.0                             \n",
       "541                                                NaN                             \n",
       "162                                              147.0                             \n",
       "107                                              267.0                             \n",
       "\n",
       "     HIVprevalence_num  Efavirenz.600Mg.Tablets_Treatment_Eligible  \\\n",
       "7        117471.666667                                      1334.0   \n",
       "77        87469.000000                                      1278.0   \n",
       "117      243667.000000                                       672.0   \n",
       "212       71950.500000                                       538.0   \n",
       "42        85653.000000                                       983.0   \n",
       "127       90599.854167                                      1149.0   \n",
       "197       45231.000000                                       688.0   \n",
       "541                NaN                                         NaN   \n",
       "162       64821.000000                                      1130.0   \n",
       "107      104129.555556                                       896.0   \n",
       "\n",
       "     Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Available  \\\n",
       "7                                               1136.0                             \n",
       "77                                              1200.0                             \n",
       "117                                              686.0                             \n",
       "212                                              414.0                             \n",
       "42                                               801.0                             \n",
       "127                                              934.0                             \n",
       "197                                              597.0                             \n",
       "541                                                NaN                             \n",
       "162                                              943.0                             \n",
       "107                                              776.0                             \n",
       "\n",
       "     Nevirapine.Oral.Solution_Treatment_Stockout  \\\n",
       "7                                          313.0   \n",
       "77                                         162.0   \n",
       "117                                         93.0   \n",
       "212                                        130.0   \n",
       "42                                         106.0   \n",
       "127                                        250.0   \n",
       "197                                         92.0   \n",
       "541                                          NaN   \n",
       "162                                        152.0   \n",
       "107                                        329.0   \n",
       "\n",
       "     Nevirapine.Oral.Solution_Treatment_Available  \\\n",
       "7                                          1865.0   \n",
       "77                                         1986.0   \n",
       "117                                        1975.0   \n",
       "212                                        1009.0   \n",
       "42                                         1435.0   \n",
       "127                                        2115.0   \n",
       "197                                        1349.0   \n",
       "541                                           NaN   \n",
       "162                                        1791.0   \n",
       "107                                        1853.0   \n",
       "\n",
       "     Determine.HIV.1.2_Test_Stockout  Determine.HIV.1.2_Test_Unavailable  \\\n",
       "7                              172.0                               236.0   \n",
       "77                              92.0                               120.0   \n",
       "117                            152.0                               113.0   \n",
       "212                             53.0                                73.0   \n",
       "42                             134.0                               112.0   \n",
       "127                            311.0                               298.0   \n",
       "197                             96.0                               121.0   \n",
       "541                              NaN                                 NaN   \n",
       "162                            222.0                               277.0   \n",
       "107                            489.0                               348.0   \n",
       "\n",
       "     Nevirapine.Oral.Solution_Treatment_Unavailable_pct  \\\n",
       "7                                             0.144888    \n",
       "77                                            0.093978    \n",
       "117                                           0.035173    \n",
       "212                                           0.121080    \n",
       "42                                            0.081894    \n",
       "127                                           0.082827    \n",
       "197                                           0.085424    \n",
       "541                                                NaN    \n",
       "162                                           0.104948    \n",
       "107                                           0.114245    \n",
       "\n",
       "     Efavirenz.600Mg.Tablets_Treatment_Stockout    ANCSTR  \\\n",
       "7                                         226.0  0.597633   \n",
       "77                                         63.0  1.000000   \n",
       "117                                       168.0  0.569885   \n",
       "212                                       145.0  0.270123   \n",
       "42                                        274.0  0.750339   \n",
       "127                                       323.0  0.376884   \n",
       "197                                       116.0  0.472160   \n",
       "541                                         NaN       NaN   \n",
       "162                                       228.0  0.284123   \n",
       "107                                       376.0  0.616216   \n",
       "\n",
       "     Efavirenz.600Mg.Tablets_Treatment_Unavailable  \\\n",
       "7                                            235.0   \n",
       "77                                            51.0   \n",
       "117                                            6.0   \n",
       "212                                          145.0   \n",
       "42                                           193.0   \n",
       "127                                          225.0   \n",
       "197                                           84.0   \n",
       "541                                            NaN   \n",
       "162                                          221.0   \n",
       "107                                          144.0   \n",
       "\n",
       "     Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Stockout  \\\n",
       "7                                                207.0                            \n",
       "77                                                65.0                            \n",
       "117                                              161.0                            \n",
       "212                                              134.0                            \n",
       "42                                               248.0                            \n",
       "127                                              306.0                            \n",
       "197                                              113.0                            \n",
       "541                                                NaN                            \n",
       "162                                              221.0                            \n",
       "107                                              350.0                            \n",
       "\n",
       "      VCcases_new  \\\n",
       "7             NaN   \n",
       "77            NaN   \n",
       "117  70354.000000   \n",
       "212  49896.750000   \n",
       "42   50211.000000   \n",
       "127           NaN   \n",
       "197  10607.333333   \n",
       "541           NaN   \n",
       "162  31987.000000   \n",
       "107           NaN   \n",
       "\n",
       "     Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Eligible  \\\n",
       "7                                               1349.0                            \n",
       "77                                              1287.0                            \n",
       "117                                              716.0                            \n",
       "212                                              546.0                            \n",
       "42                                               958.0                            \n",
       "127                                             1140.0                            \n",
       "197                                              695.0                            \n",
       "541                                                NaN                            \n",
       "162                                             1180.0                            \n",
       "107                                              908.0                            \n",
       "\n",
       "     Determine.HIV.1.2_Test_Available  HIVprevalence  \\\n",
       "7                              2070.0       3.166667   \n",
       "77                             1736.0       4.900000   \n",
       "117                            1751.0       9.150000   \n",
       "212                             892.0       4.255556   \n",
       "42                              830.0       6.200000   \n",
       "127                            1996.0       4.900000   \n",
       "197                            1306.0       4.033333   \n",
       "541                               NaN            NaN   \n",
       "162                            1850.0       5.900000   \n",
       "107                            1617.0       3.600000   \n",
       "\n",
       "     Unigold.HIV.1.2_Test_Unavailable  VCTHIVposCases_new  VCTHIVpos_new_perc  \\\n",
       "7                               154.0                 NaN                 NaN   \n",
       "77                              126.0                 NaN                 NaN   \n",
       "117                             121.0             34681.0               16.85   \n",
       "212                              57.0             12710.0               15.80   \n",
       "42                              158.0             33251.0               11.00   \n",
       "127                             184.0                 NaN                 NaN   \n",
       "197                             121.0                 0.0                5.85   \n",
       "541                               NaN                 NaN                 NaN   \n",
       "162                             182.0             22719.0               11.10   \n",
       "107                             300.0                 NaN                 NaN   \n",
       "\n",
       "     Determine.HIV.1.2_Test_Eligible  CumNumPersOnART  \\\n",
       "7                             2306.0              NaN   \n",
       "77                            1856.0              NaN   \n",
       "117                           1864.0              NaN   \n",
       "212                            965.0     43537.333333   \n",
       "42                             942.0              NaN   \n",
       "127                           2294.0              NaN   \n",
       "197                           1427.0              NaN   \n",
       "541                              NaN              NaN   \n",
       "162                           2127.0              NaN   \n",
       "107                           1965.0              NaN   \n",
       "\n",
       "     Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct  \\\n",
       "7                                             0.176162   \n",
       "77                                            0.039906   \n",
       "117                                           0.008929   \n",
       "212                                           0.269517   \n",
       "42                                            0.196338   \n",
       "127                                           0.195822   \n",
       "197                                           0.122093   \n",
       "541                                                NaN   \n",
       "162                                           0.195575   \n",
       "107                                           0.160714   \n",
       "\n",
       "     Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable  \\\n",
       "7                                                185.0                                \n",
       "77                                               105.0                                \n",
       "117                                               54.0                                \n",
       "212                                              139.0                                \n",
       "42                                                86.0                                \n",
       "127                                              135.0                                \n",
       "197                                              108.0                                \n",
       "541                                                NaN                                \n",
       "162                                              204.0                                \n",
       "107                                              159.0                                \n",
       "\n",
       "     Others_spendingPerCapita  Unigold.HIV.1.2_Test_Unavailable_pct  \\\n",
       "7                         NaN                              0.053177   \n",
       "77                        NaN                              0.053254   \n",
       "117                       NaN                              0.051665   \n",
       "212               9769.448489                              0.044358   \n",
       "42                        NaN                              0.102067   \n",
       "127                       NaN                              0.072185   \n",
       "197                       NaN                              0.077714   \n",
       "541                       NaN                                   NaN   \n",
       "162                       NaN                              0.076632   \n",
       "107                       NaN                              0.137174   \n",
       "\n",
       "     Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Eligible  \\\n",
       "7                                               2211.0                             \n",
       "77                                              2166.0                             \n",
       "117                                             2023.0                             \n",
       "212                                             1079.0                             \n",
       "42                                              1550.0                             \n",
       "127                                             2205.0                             \n",
       "197                                             1429.0                             \n",
       "541                                                NaN                             \n",
       "162                                             1943.0                             \n",
       "107                                             2056.0                             \n",
       "\n",
       "     Unigold.HIV.1.2_Test_Stockout  \\\n",
       "7                            116.0   \n",
       "77                            54.0   \n",
       "117                          134.0   \n",
       "212                           31.0   \n",
       "42                           145.0   \n",
       "127                          202.0   \n",
       "197                           75.0   \n",
       "541                            NaN   \n",
       "162                           95.0   \n",
       "107                          379.0   \n",
       "\n",
       "     Nevirapine.Oral.Solution_Treatment_Eligible  \\\n",
       "7                                         2181.0   \n",
       "77                                        2192.0   \n",
       "117                                       2047.0   \n",
       "212                                       1148.0   \n",
       "42                                        1563.0   \n",
       "127                                       2306.0   \n",
       "197                                       1475.0   \n",
       "541                                          NaN   \n",
       "162                                       2001.0   \n",
       "107                                       2092.0   \n",
       "\n",
       "     Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct  \\\n",
       "7                                             0.083673                                    \n",
       "77                                            0.048476                                    \n",
       "117                                           0.026693                                    \n",
       "212                                           0.128823                                    \n",
       "42                                            0.055484                                    \n",
       "127                                           0.061224                                    \n",
       "197                                           0.075577                                    \n",
       "541                                                NaN                                    \n",
       "162                                           0.104992                                    \n",
       "107                                           0.077335                                    \n",
       "\n",
       "     Determine.HIV.1.2_Test_Unavailable_pct  \\\n",
       "7                                  0.102342   \n",
       "77                                 0.064655   \n",
       "117                                0.060622   \n",
       "212                                0.075648   \n",
       "42                                 0.118896   \n",
       "127                                0.129904   \n",
       "197                                0.084793   \n",
       "541                                     NaN   \n",
       "162                                0.130230   \n",
       "107                                0.177099   \n",
       "\n",
       "     Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable  \\\n",
       "7                                                213.0                               \n",
       "77                                                87.0                               \n",
       "117                                               30.0                               \n",
       "212                                              132.0                               \n",
       "42                                               157.0                               \n",
       "127                                              206.0                               \n",
       "197                                               98.0                               \n",
       "541                                                NaN                               \n",
       "162                                              237.0                               \n",
       "107                                              132.0                               \n",
       "\n",
       "     Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable_pct  \\\n",
       "7                                             0.157895                                   \n",
       "77                                            0.067599                                   \n",
       "117                                           0.041899                                   \n",
       "212                                           0.241758                                   \n",
       "42                                            0.163883                                   \n",
       "127                                           0.180702                                   \n",
       "197                                           0.141007                                   \n",
       "541                                                NaN                                   \n",
       "162                                           0.200847                                   \n",
       "107                                           0.145374                                   \n",
       "\n",
       "     Administration_spendingPerCapita  rptHIVcases  \\\n",
       "7                                 NaN          NaN   \n",
       "77                                NaN          NaN   \n",
       "117                               NaN          NaN   \n",
       "212                               NaN          NaN   \n",
       "42                                NaN          NaN   \n",
       "127                               NaN          NaN   \n",
       "197                               NaN          NaN   \n",
       "541                               NaN          NaN   \n",
       "162                               NaN          NaN   \n",
       "107                               NaN          NaN   \n",
       "\n",
       "     Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Available  \\\n",
       "7                                               2026.0                              \n",
       "77                                              2061.0                              \n",
       "117                                             1969.0                              \n",
       "212                                              940.0                              \n",
       "42                                              1464.0                              \n",
       "127                                             2070.0                              \n",
       "197                                             1321.0                              \n",
       "541                                                NaN                              \n",
       "162                                             1739.0                              \n",
       "107                                             1897.0                              \n",
       "\n",
       "     Nevirapine.Oral.Solution_Treatment_Unavailable  VCcases_oldNew  \\\n",
       "7                                             316.0             NaN   \n",
       "77                                            206.0             NaN   \n",
       "117                                            72.0             NaN   \n",
       "212                                           139.0             NaN   \n",
       "42                                            128.0             NaN   \n",
       "127                                           191.0             NaN   \n",
       "197                                           126.0             NaN   \n",
       "541                                             NaN             NaN   \n",
       "162                                           210.0             NaN   \n",
       "107                                           239.0             NaN   \n",
       "\n",
       "     CumNumPersEnrolledInHIV  Efavirenz.600Mg.Tablets_Treatment_Available  \\\n",
       "7                        NaN                                       1099.0   \n",
       "77                       NaN                                       1227.0   \n",
       "117                      NaN                                        666.0   \n",
       "212                      NaN                                        393.0   \n",
       "42                       NaN                                        790.0   \n",
       "127                      NaN                                        924.0   \n",
       "197                      NaN                                        604.0   \n",
       "541                      NaN                                          NaN   \n",
       "162                      NaN                                        909.0   \n",
       "107                      NaN                                        752.0   \n",
       "\n",
       "     Health_spendingPerCapita  CurrNumPersOnART  \\\n",
       "7                         NaN               NaN   \n",
       "77                        NaN               NaN   \n",
       "117                       NaN               NaN   \n",
       "212                       NaN               NaN   \n",
       "42                        NaN               NaN   \n",
       "127                       NaN               NaN   \n",
       "197                       NaN               NaN   \n",
       "541                       NaN               NaN   \n",
       "162                       NaN               NaN   \n",
       "107                       NaN               NaN   \n",
       "\n",
       "     Unigold.HIV.1.2_Test_Available  VCTcases_new  NumPersPerSqKm  \n",
       "7                            2742.0           NaN            50.0  \n",
       "77                           2240.0           NaN           133.0  \n",
       "117                          2221.0           NaN            50.0  \n",
       "212                          1228.0           NaN             NaN  \n",
       "42                           1390.0           NaN            28.0  \n",
       "127                          2365.0           NaN            35.0  \n",
       "197                          1436.0           NaN            68.0  \n",
       "541                             NaN           NaN             NaN  \n",
       "162                          2193.0           NaN            37.0  \n",
       "107                          1887.0           NaN            88.0  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tanzania_indicators_bitenriched[tanzania_indicators_bitenriched.groupby(\"geoUnit\")[\"Year\"].apply(lambda x: x == 2016)].sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_on_2016 = tanzania_indicators_bitenriched[tanzania_indicators_bitenriched.groupby(\"geoUnit\")[\"Year\"].apply(lambda x: x == 2016)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(29, 67)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_on_2016.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "#plt.figure(figsize=(14,10))\n",
    "#sns.heatmap(df_on_2016.isnull())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "#pp.ProfileReport(df_on_2016).to_file(outputfile=\"df_after_2000.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Aura cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_df = df_on_2016[['geoUnit', 'Year',\n",
    "       'RegionArea', 'VLNS', 'VLNS_num', 'VLS', 'VLS_num', 'HCTS', 'Population', 'ART2coverage',\n",
    "       'Unigold.HIV.1.2_Test_Eligible', 'CumNumPersNotOnART_perc',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Stockout',\n",
    "       'HIVprevalence_num', 'Efavirenz.600Mg.Tablets_Treatment_Eligible',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Available',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Stockout',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Available',\n",
    "       'Determine.HIV.1.2_Test_Stockout',\n",
    "       'Determine.HIV.1.2_Test_Unavailable',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Unavailable_pct',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Stockout',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Unavailable',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Stockout',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Eligible', 'HIVprevalence',\n",
    "       'Unigold.HIV.1.2_Test_Unavailable', 'CumNumPersOnART',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable', 'Unigold.HIV.1.2_Test_Unavailable_pct',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Eligible',\n",
    "       'Unigold.HIV.1.2_Test_Stockout',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Eligible',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct',\n",
    "       'Determine.HIV.1.2_Test_Unavailable_pct',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable_pct', 'rptHIVcases',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Available',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Unavailable',\n",
    "       'CumNumPersEnrolledInHIV',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Available',\n",
    "       'Health_spendingPerCapita', 'CurrNumPersOnART',\n",
    "       'Unigold.HIV.1.2_Test_Available', 'VCTcases_new', 'NumPersPerSqKm']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>geoUnit</th>\n",
       "      <th>Year</th>\n",
       "      <th>RegionArea</th>\n",
       "      <th>VLNS</th>\n",
       "      <th>VLNS_num</th>\n",
       "      <th>VLS</th>\n",
       "      <th>VLS_num</th>\n",
       "      <th>HCTS</th>\n",
       "      <th>Population</th>\n",
       "      <th>ART2coverage</th>\n",
       "      <th>Unigold.HIV.1.2_Test_Eligible</th>\n",
       "      <th>CumNumPersNotOnART_perc</th>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Stockout</th>\n",
       "      <th>HIVprevalence_num</th>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Eligible</th>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Available</th>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Stockout</th>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Available</th>\n",
       "      <th>Determine.HIV.1.2_Test_Stockout</th>\n",
       "      <th>Determine.HIV.1.2_Test_Unavailable</th>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Unavailable_pct</th>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Stockout</th>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Unavailable</th>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Stockout</th>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Eligible</th>\n",
       "      <th>HIVprevalence</th>\n",
       "      <th>Unigold.HIV.1.2_Test_Unavailable</th>\n",
       "      <th>CumNumPersOnART</th>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct</th>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable</th>\n",
       "      <th>Unigold.HIV.1.2_Test_Unavailable_pct</th>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Eligible</th>\n",
       "      <th>Unigold.HIV.1.2_Test_Stockout</th>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Eligible</th>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct</th>\n",
       "      <th>Determine.HIV.1.2_Test_Unavailable_pct</th>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable</th>\n",
       "      <th>Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable_pct</th>\n",
       "      <th>rptHIVcases</th>\n",
       "      <th>Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Available</th>\n",
       "      <th>Nevirapine.Oral.Solution_Treatment_Unavailable</th>\n",
       "      <th>CumNumPersEnrolledInHIV</th>\n",
       "      <th>Efavirenz.600Mg.Tablets_Treatment_Available</th>\n",
       "      <th>Health_spendingPerCapita</th>\n",
       "      <th>CurrNumPersOnART</th>\n",
       "      <th>Unigold.HIV.1.2_Test_Available</th>\n",
       "      <th>VCTcases_new</th>\n",
       "      <th>NumPersPerSqKm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>Ruvuma</td>\n",
       "      <td>2016</td>\n",
       "      <td>63669.0</td>\n",
       "      <td>18.860699</td>\n",
       "      <td>394.0</td>\n",
       "      <td>81.139301</td>\n",
       "      <td>1695.0</td>\n",
       "      <td>31.212665</td>\n",
       "      <td>1498800.000</td>\n",
       "      <td>0.0190</td>\n",
       "      <td>2391.0</td>\n",
       "      <td>44.254120</td>\n",
       "      <td>151.0</td>\n",
       "      <td>75785.500000</td>\n",
       "      <td>1247.0</td>\n",
       "      <td>995.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>2042.0</td>\n",
       "      <td>343.0</td>\n",
       "      <td>378.0</td>\n",
       "      <td>0.113715</td>\n",
       "      <td>281.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>1235.0</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>244.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.190858</td>\n",
       "      <td>234.0</td>\n",
       "      <td>0.102049</td>\n",
       "      <td>2239.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>2304.0</td>\n",
       "      <td>0.104511</td>\n",
       "      <td>0.180948</td>\n",
       "      <td>240.0</td>\n",
       "      <td>0.194332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>262.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1009.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2147.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Shinyanga</td>\n",
       "      <td>2016</td>\n",
       "      <td>18901.0</td>\n",
       "      <td>13.881402</td>\n",
       "      <td>103.0</td>\n",
       "      <td>86.118598</td>\n",
       "      <td>639.0</td>\n",
       "      <td>38.694444</td>\n",
       "      <td>1666600.000</td>\n",
       "      <td>0.0096</td>\n",
       "      <td>1634.0</td>\n",
       "      <td>40.425378</td>\n",
       "      <td>53.0</td>\n",
       "      <td>45231.000000</td>\n",
       "      <td>743.0</td>\n",
       "      <td>583.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>1496.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>0.085015</td>\n",
       "      <td>173.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>761.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>183.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.227456</td>\n",
       "      <td>140.0</td>\n",
       "      <td>0.111995</td>\n",
       "      <td>1594.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>1635.0</td>\n",
       "      <td>0.087829</td>\n",
       "      <td>0.152505</td>\n",
       "      <td>178.0</td>\n",
       "      <td>0.233903</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1454.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>574.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1451.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Simiyu</td>\n",
       "      <td>2016</td>\n",
       "      <td>25212.0</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.953704</td>\n",
       "      <td>1705200.000</td>\n",
       "      <td>0.0270</td>\n",
       "      <td>1557.0</td>\n",
       "      <td>42.313735</td>\n",
       "      <td>73.0</td>\n",
       "      <td>45231.000000</td>\n",
       "      <td>688.0</td>\n",
       "      <td>597.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1349.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>0.085424</td>\n",
       "      <td>116.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>695.0</td>\n",
       "      <td>4.033333</td>\n",
       "      <td>121.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.122093</td>\n",
       "      <td>108.0</td>\n",
       "      <td>0.077714</td>\n",
       "      <td>1429.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1475.0</td>\n",
       "      <td>0.075577</td>\n",
       "      <td>0.084793</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0.141007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1321.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>604.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1436.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>Singida</td>\n",
       "      <td>2016</td>\n",
       "      <td>49340.0</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.457948</td>\n",
       "      <td>1504000.000</td>\n",
       "      <td>0.0230</td>\n",
       "      <td>1948.0</td>\n",
       "      <td>37.927885</td>\n",
       "      <td>66.0</td>\n",
       "      <td>47362.250000</td>\n",
       "      <td>480.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>1761.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>223.0</td>\n",
       "      <td>0.048108</td>\n",
       "      <td>53.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>516.0</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>122.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.116667</td>\n",
       "      <td>89.0</td>\n",
       "      <td>0.062628</td>\n",
       "      <td>1841.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>1850.0</td>\n",
       "      <td>0.048343</td>\n",
       "      <td>0.125989</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.127907</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1752.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>424.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1826.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>Songwe</td>\n",
       "      <td>2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.583333</td>\n",
       "      <td>1816449.125</td>\n",
       "      <td>0.0054</td>\n",
       "      <td>1285.0</td>\n",
       "      <td>41.912085</td>\n",
       "      <td>118.0</td>\n",
       "      <td>71950.500000</td>\n",
       "      <td>538.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1009.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.121080</td>\n",
       "      <td>145.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>546.0</td>\n",
       "      <td>4.255556</td>\n",
       "      <td>57.0</td>\n",
       "      <td>43537.333333</td>\n",
       "      <td>0.269517</td>\n",
       "      <td>139.0</td>\n",
       "      <td>0.044358</td>\n",
       "      <td>1079.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1148.0</td>\n",
       "      <td>0.128823</td>\n",
       "      <td>0.075648</td>\n",
       "      <td>132.0</td>\n",
       "      <td>0.241758</td>\n",
       "      <td>NaN</td>\n",
       "      <td>940.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>393.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1228.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>Tabora</td>\n",
       "      <td>2016</td>\n",
       "      <td>76150.0</td>\n",
       "      <td>14.423077</td>\n",
       "      <td>45.0</td>\n",
       "      <td>85.576923</td>\n",
       "      <td>267.0</td>\n",
       "      <td>31.217140</td>\n",
       "      <td>2576100.000</td>\n",
       "      <td>0.0240</td>\n",
       "      <td>2103.0</td>\n",
       "      <td>46.183559</td>\n",
       "      <td>132.0</td>\n",
       "      <td>116445.000000</td>\n",
       "      <td>1018.0</td>\n",
       "      <td>825.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>1732.0</td>\n",
       "      <td>351.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>0.137450</td>\n",
       "      <td>172.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>985.0</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>287.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.148330</td>\n",
       "      <td>201.0</td>\n",
       "      <td>0.136472</td>\n",
       "      <td>1975.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>0.101772</td>\n",
       "      <td>0.208426</td>\n",
       "      <td>160.0</td>\n",
       "      <td>0.162437</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1774.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>867.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1816.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>Tanga</td>\n",
       "      <td>2016</td>\n",
       "      <td>26677.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>29.400621</td>\n",
       "      <td>2236100.000</td>\n",
       "      <td>0.0340</td>\n",
       "      <td>2635.0</td>\n",
       "      <td>54.653967</td>\n",
       "      <td>266.0</td>\n",
       "      <td>90599.854167</td>\n",
       "      <td>1303.0</td>\n",
       "      <td>999.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>2088.0</td>\n",
       "      <td>536.0</td>\n",
       "      <td>431.0</td>\n",
       "      <td>0.117498</td>\n",
       "      <td>468.0</td>\n",
       "      <td>344.0</td>\n",
       "      <td>463.0</td>\n",
       "      <td>1324.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>228.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.264006</td>\n",
       "      <td>242.0</td>\n",
       "      <td>0.086528</td>\n",
       "      <td>2315.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>2366.0</td>\n",
       "      <td>0.104536</td>\n",
       "      <td>0.180940</td>\n",
       "      <td>325.0</td>\n",
       "      <td>0.245468</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2073.0</td>\n",
       "      <td>278.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>959.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2407.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>Kaskazini Pemba</td>\n",
       "      <td>2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</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",
       "      <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",
       "      <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",
       "      <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",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>Kusini Pemba</td>\n",
       "      <td>2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</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",
       "      <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",
       "      <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",
       "      <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",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>Mjini Magharibi</td>\n",
       "      <td>2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.156250</td>\n",
       "      <td>154.0</td>\n",
       "      <td>39.843750</td>\n",
       "      <td>102.0</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",
       "      <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",
       "      <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",
       "      <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",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             geoUnit  Year  RegionArea        VLNS  VLNS_num         VLS  \\\n",
       "182           Ruvuma  2016     63669.0   18.860699     394.0   81.139301   \n",
       "192        Shinyanga  2016     18901.0   13.881402     103.0   86.118598   \n",
       "197           Simiyu  2016     25212.0  100.000000       0.0    0.000000   \n",
       "207          Singida  2016     49340.0  100.000000       0.0    0.000000   \n",
       "212           Songwe  2016         NaN         NaN       NaN         NaN   \n",
       "222           Tabora  2016     76150.0   14.423077      45.0   85.576923   \n",
       "232            Tanga  2016     26677.0    0.000000       0.0  100.000000   \n",
       "372  Kaskazini Pemba  2016         NaN  100.000000       0.0    0.000000   \n",
       "437     Kusini Pemba  2016         NaN  100.000000       0.0    0.000000   \n",
       "541  Mjini Magharibi  2016         NaN   60.156250     154.0   39.843750   \n",
       "\n",
       "     VLS_num       HCTS   Population  ART2coverage  \\\n",
       "182   1695.0  31.212665  1498800.000        0.0190   \n",
       "192    639.0  38.694444  1666600.000        0.0096   \n",
       "197      0.0  39.953704  1705200.000        0.0270   \n",
       "207      0.0  38.457948  1504000.000        0.0230   \n",
       "212      NaN  40.583333  1816449.125        0.0054   \n",
       "222    267.0  31.217140  2576100.000        0.0240   \n",
       "232      4.0  29.400621  2236100.000        0.0340   \n",
       "372      0.0        NaN          NaN           NaN   \n",
       "437      0.0        NaN          NaN           NaN   \n",
       "541    102.0        NaN          NaN           NaN   \n",
       "\n",
       "     Unigold.HIV.1.2_Test_Eligible  CumNumPersNotOnART_perc  \\\n",
       "182                         2391.0                44.254120   \n",
       "192                         1634.0                40.425378   \n",
       "197                         1557.0                42.313735   \n",
       "207                         1948.0                37.927885   \n",
       "212                         1285.0                41.912085   \n",
       "222                         2103.0                46.183559   \n",
       "232                         2635.0                54.653967   \n",
       "372                            NaN                      NaN   \n",
       "437                            NaN                      NaN   \n",
       "541                            NaN                      NaN   \n",
       "\n",
       "     Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Stockout  \\\n",
       "182                                              151.0                             \n",
       "192                                               53.0                             \n",
       "197                                               73.0                             \n",
       "207                                               66.0                             \n",
       "212                                              118.0                             \n",
       "222                                              132.0                             \n",
       "232                                              266.0                             \n",
       "372                                                NaN                             \n",
       "437                                                NaN                             \n",
       "541                                                NaN                             \n",
       "\n",
       "     HIVprevalence_num  Efavirenz.600Mg.Tablets_Treatment_Eligible  \\\n",
       "182       75785.500000                                      1247.0   \n",
       "192       45231.000000                                       743.0   \n",
       "197       45231.000000                                       688.0   \n",
       "207       47362.250000                                       480.0   \n",
       "212       71950.500000                                       538.0   \n",
       "222      116445.000000                                      1018.0   \n",
       "232       90599.854167                                      1303.0   \n",
       "372                NaN                                         NaN   \n",
       "437                NaN                                         NaN   \n",
       "541                NaN                                         NaN   \n",
       "\n",
       "     Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Available  \\\n",
       "182                                              995.0                             \n",
       "192                                              583.0                             \n",
       "197                                              597.0                             \n",
       "207                                              450.0                             \n",
       "212                                              414.0                             \n",
       "222                                              825.0                             \n",
       "232                                              999.0                             \n",
       "372                                                NaN                             \n",
       "437                                                NaN                             \n",
       "541                                                NaN                             \n",
       "\n",
       "     Nevirapine.Oral.Solution_Treatment_Stockout  \\\n",
       "182                                        171.0   \n",
       "192                                         39.0   \n",
       "197                                         92.0   \n",
       "207                                         74.0   \n",
       "212                                        130.0   \n",
       "222                                        181.0   \n",
       "232                                        273.0   \n",
       "372                                          NaN   \n",
       "437                                          NaN   \n",
       "541                                          NaN   \n",
       "\n",
       "     Nevirapine.Oral.Solution_Treatment_Available  \\\n",
       "182                                        2042.0   \n",
       "192                                        1496.0   \n",
       "197                                        1349.0   \n",
       "207                                        1761.0   \n",
       "212                                        1009.0   \n",
       "222                                        1732.0   \n",
       "232                                        2088.0   \n",
       "372                                           NaN   \n",
       "437                                           NaN   \n",
       "541                                           NaN   \n",
       "\n",
       "     Determine.HIV.1.2_Test_Stockout  Determine.HIV.1.2_Test_Unavailable  \\\n",
       "182                            343.0                               378.0   \n",
       "192                            131.0                               210.0   \n",
       "197                             96.0                               121.0   \n",
       "207                            186.0                               223.0   \n",
       "212                             53.0                                73.0   \n",
       "222                            351.0                               376.0   \n",
       "232                            536.0                               431.0   \n",
       "372                              NaN                                 NaN   \n",
       "437                              NaN                                 NaN   \n",
       "541                              NaN                                 NaN   \n",
       "\n",
       "     Nevirapine.Oral.Solution_Treatment_Unavailable_pct  \\\n",
       "182                                           0.113715    \n",
       "192                                           0.085015    \n",
       "197                                           0.085424    \n",
       "207                                           0.048108    \n",
       "212                                           0.121080    \n",
       "222                                           0.137450    \n",
       "232                                           0.117498    \n",
       "372                                                NaN    \n",
       "437                                                NaN    \n",
       "541                                                NaN    \n",
       "\n",
       "     Efavirenz.600Mg.Tablets_Treatment_Stockout  \\\n",
       "182                                       281.0   \n",
       "192                                       173.0   \n",
       "197                                       116.0   \n",
       "207                                        53.0   \n",
       "212                                       145.0   \n",
       "222                                       172.0   \n",
       "232                                       468.0   \n",
       "372                                         NaN   \n",
       "437                                         NaN   \n",
       "541                                         NaN   \n",
       "\n",
       "     Efavirenz.600Mg.Tablets_Treatment_Unavailable  \\\n",
       "182                                          238.0   \n",
       "192                                          169.0   \n",
       "197                                           84.0   \n",
       "207                                           56.0   \n",
       "212                                          145.0   \n",
       "222                                          151.0   \n",
       "232                                          344.0   \n",
       "372                                            NaN   \n",
       "437                                            NaN   \n",
       "541                                            NaN   \n",
       "\n",
       "     Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Stockout  \\\n",
       "182                                              285.0                            \n",
       "192                                              154.0                            \n",
       "197                                              113.0                            \n",
       "207                                               63.0                            \n",
       "212                                              134.0                            \n",
       "222                                              169.0                            \n",
       "232                                              463.0                            \n",
       "372                                                NaN                            \n",
       "437                                                NaN                            \n",
       "541                                                NaN                            \n",
       "\n",
       "     Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Eligible  \\\n",
       "182                                             1235.0                            \n",
       "192                                              761.0                            \n",
       "197                                              695.0                            \n",
       "207                                              516.0                            \n",
       "212                                              546.0                            \n",
       "222                                              985.0                            \n",
       "232                                             1324.0                            \n",
       "372                                                NaN                            \n",
       "437                                                NaN                            \n",
       "541                                                NaN                            \n",
       "\n",
       "     HIVprevalence  Unigold.HIV.1.2_Test_Unavailable  CumNumPersOnART  \\\n",
       "182       6.300000                             244.0              NaN   \n",
       "192            NaN                             183.0              NaN   \n",
       "197       4.033333                             121.0              NaN   \n",
       "207       3.300000                             122.0              NaN   \n",
       "212       4.255556                              57.0     43537.333333   \n",
       "222       5.100000                             287.0              NaN   \n",
       "232            NaN                             228.0              NaN   \n",
       "372            NaN                               NaN              NaN   \n",
       "437            NaN                               NaN              NaN   \n",
       "541            NaN                               NaN              NaN   \n",
       "\n",
       "     Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct  \\\n",
       "182                                           0.190858   \n",
       "192                                           0.227456   \n",
       "197                                           0.122093   \n",
       "207                                           0.116667   \n",
       "212                                           0.269517   \n",
       "222                                           0.148330   \n",
       "232                                           0.264006   \n",
       "372                                                NaN   \n",
       "437                                                NaN   \n",
       "541                                                NaN   \n",
       "\n",
       "     Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable  \\\n",
       "182                                              234.0                                \n",
       "192                                              140.0                                \n",
       "197                                              108.0                                \n",
       "207                                               89.0                                \n",
       "212                                              139.0                                \n",
       "222                                              201.0                                \n",
       "232                                              242.0                                \n",
       "372                                                NaN                                \n",
       "437                                                NaN                                \n",
       "541                                                NaN                                \n",
       "\n",
       "     Unigold.HIV.1.2_Test_Unavailable_pct  \\\n",
       "182                              0.102049   \n",
       "192                              0.111995   \n",
       "197                              0.077714   \n",
       "207                              0.062628   \n",
       "212                              0.044358   \n",
       "222                              0.136472   \n",
       "232                              0.086528   \n",
       "372                                   NaN   \n",
       "437                                   NaN   \n",
       "541                                   NaN   \n",
       "\n",
       "     Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Eligible  \\\n",
       "182                                             2239.0                             \n",
       "192                                             1594.0                             \n",
       "197                                             1429.0                             \n",
       "207                                             1841.0                             \n",
       "212                                             1079.0                             \n",
       "222                                             1975.0                             \n",
       "232                                             2315.0                             \n",
       "372                                                NaN                             \n",
       "437                                                NaN                             \n",
       "541                                                NaN                             \n",
       "\n",
       "     Unigold.HIV.1.2_Test_Stockout  \\\n",
       "182                          168.0   \n",
       "192                          101.0   \n",
       "197                           75.0   \n",
       "207                          102.0   \n",
       "212                           31.0   \n",
       "222                          186.0   \n",
       "232                          214.0   \n",
       "372                            NaN   \n",
       "437                            NaN   \n",
       "541                            NaN   \n",
       "\n",
       "     Nevirapine.Oral.Solution_Treatment_Eligible  \\\n",
       "182                                       2304.0   \n",
       "192                                       1635.0   \n",
       "197                                       1475.0   \n",
       "207                                       1850.0   \n",
       "212                                       1148.0   \n",
       "222                                       2008.0   \n",
       "232                                       2366.0   \n",
       "372                                          NaN   \n",
       "437                                          NaN   \n",
       "541                                          NaN   \n",
       "\n",
       "     Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct  \\\n",
       "182                                           0.104511                                    \n",
       "192                                           0.087829                                    \n",
       "197                                           0.075577                                    \n",
       "207                                           0.048343                                    \n",
       "212                                           0.128823                                    \n",
       "222                                           0.101772                                    \n",
       "232                                           0.104536                                    \n",
       "372                                                NaN                                    \n",
       "437                                                NaN                                    \n",
       "541                                                NaN                                    \n",
       "\n",
       "     Determine.HIV.1.2_Test_Unavailable_pct  \\\n",
       "182                                0.180948   \n",
       "192                                0.152505   \n",
       "197                                0.084793   \n",
       "207                                0.125989   \n",
       "212                                0.075648   \n",
       "222                                0.208426   \n",
       "232                                0.180940   \n",
       "372                                     NaN   \n",
       "437                                     NaN   \n",
       "541                                     NaN   \n",
       "\n",
       "     Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable  \\\n",
       "182                                              240.0                               \n",
       "192                                              178.0                               \n",
       "197                                               98.0                               \n",
       "207                                               66.0                               \n",
       "212                                              132.0                               \n",
       "222                                              160.0                               \n",
       "232                                              325.0                               \n",
       "372                                                NaN                               \n",
       "437                                                NaN                               \n",
       "541                                                NaN                               \n",
       "\n",
       "     Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable_pct  \\\n",
       "182                                           0.194332                                   \n",
       "192                                           0.233903                                   \n",
       "197                                           0.141007                                   \n",
       "207                                           0.127907                                   \n",
       "212                                           0.241758                                   \n",
       "222                                           0.162437                                   \n",
       "232                                           0.245468                                   \n",
       "372                                                NaN                                   \n",
       "437                                                NaN                                   \n",
       "541                                                NaN                                   \n",
       "\n",
       "     rptHIVcases  \\\n",
       "182          NaN   \n",
       "192          NaN   \n",
       "197          NaN   \n",
       "207          NaN   \n",
       "212          NaN   \n",
       "222          NaN   \n",
       "232          NaN   \n",
       "372          NaN   \n",
       "437          NaN   \n",
       "541          NaN   \n",
       "\n",
       "     Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Available  \\\n",
       "182                                             2005.0                              \n",
       "192                                             1454.0                              \n",
       "197                                             1321.0                              \n",
       "207                                             1752.0                              \n",
       "212                                              940.0                              \n",
       "222                                             1774.0                              \n",
       "232                                             2073.0                              \n",
       "372                                                NaN                              \n",
       "437                                                NaN                              \n",
       "541                                                NaN                              \n",
       "\n",
       "     Nevirapine.Oral.Solution_Treatment_Unavailable  CumNumPersEnrolledInHIV  \\\n",
       "182                                           262.0                      NaN   \n",
       "192                                           139.0                      NaN   \n",
       "197                                           126.0                      NaN   \n",
       "207                                            89.0                      NaN   \n",
       "212                                           139.0                      NaN   \n",
       "222                                           276.0                      NaN   \n",
       "232                                           278.0                      NaN   \n",
       "372                                             NaN                      NaN   \n",
       "437                                             NaN                      NaN   \n",
       "541                                             NaN                      NaN   \n",
       "\n",
       "     Efavirenz.600Mg.Tablets_Treatment_Available  Health_spendingPerCapita  \\\n",
       "182                                       1009.0                       NaN   \n",
       "192                                        574.0                       NaN   \n",
       "197                                        604.0                       NaN   \n",
       "207                                        424.0                       NaN   \n",
       "212                                        393.0                       NaN   \n",
       "222                                        867.0                       NaN   \n",
       "232                                        959.0                       NaN   \n",
       "372                                          NaN                       NaN   \n",
       "437                                          NaN                       NaN   \n",
       "541                                          NaN                       NaN   \n",
       "\n",
       "     CurrNumPersOnART  Unigold.HIV.1.2_Test_Available  VCTcases_new  \\\n",
       "182               NaN                          2147.0           NaN   \n",
       "192               NaN                          1451.0           NaN   \n",
       "197               NaN                          1436.0           NaN   \n",
       "207               NaN                          1826.0           NaN   \n",
       "212               NaN                          1228.0           NaN   \n",
       "222               NaN                          1816.0           NaN   \n",
       "232               NaN                          2407.0           NaN   \n",
       "372               NaN                             NaN           NaN   \n",
       "437               NaN                             NaN           NaN   \n",
       "541               NaN                             NaN           NaN   \n",
       "\n",
       "     NumPersPerSqKm  \n",
       "182            24.0  \n",
       "192            88.0  \n",
       "197            68.0  \n",
       "207            30.0  \n",
       "212             NaN  \n",
       "222            34.0  \n",
       "232            84.0  \n",
       "372             NaN  \n",
       "437             NaN  \n",
       "541             NaN  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_df.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/beire/anaconda2/envs/myenv3.6.5/lib/python3.6/site-packages/pandas/core/frame.py:3697: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    }
   ],
   "source": [
    "# reindex and clean up order numbers\n",
    "cleaned_df.reset_index(inplace=True)\n",
    "cleaned_df.drop(columns=\"index\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/beire/anaconda2/envs/myenv3.6.5/lib/python3.6/site-packages/pandas/core/frame.py:3697: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    }
   ],
   "source": [
    "# these are not part of the mainland regions ! remove\n",
    "# and no data in the other datasets from these island counties\n",
    "\n",
    "cleaned_df.drop(index=[23, 26, 27, 28], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8fee140860>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,10))\n",
    "sns.heatmap(cleaned_df == 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "#generate a new report\n",
    "pp.ProfileReport(cleaned_df).to_file(outputfile=\"cleaned_df.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ceren request to do this again for 2017 & 2018 as well"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_on_2017 = tanzania_indicators_bitenriched[tanzania_indicators_bitenriched.groupby(\"geoUnit\")[\"Year\"].apply(lambda x: x == 2017)]\n",
    "df_on_2018 = tanzania_indicators_bitenriched[tanzania_indicators_bitenriched.groupby(\"geoUnit\")[\"Year\"].apply(lambda x: x == 2018)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_df_2017 = df_on_2017[['geoUnit', 'Year',\n",
    "       'RegionArea', 'VLNS', 'VLNS_num', 'VLS', 'VLS_num', 'HCTS', 'Population', 'ART2coverage',\n",
    "       'Unigold.HIV.1.2_Test_Eligible', 'CumNumPersNotOnART_perc',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Stockout',\n",
    "       'HIVprevalence_num', 'Efavirenz.600Mg.Tablets_Treatment_Eligible',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Available',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Stockout',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Available',\n",
    "       'Determine.HIV.1.2_Test_Stockout',\n",
    "       'Determine.HIV.1.2_Test_Unavailable',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Unavailable_pct',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Stockout',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Unavailable',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Stockout',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Eligible', 'HIVprevalence',\n",
    "       'Unigold.HIV.1.2_Test_Unavailable', 'CumNumPersOnART',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable', 'Unigold.HIV.1.2_Test_Unavailable_pct',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Eligible',\n",
    "       'Unigold.HIV.1.2_Test_Stockout',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Eligible',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct',\n",
    "       'Determine.HIV.1.2_Test_Unavailable_pct',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable_pct', 'rptHIVcases',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Available',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Unavailable',\n",
    "       'CumNumPersEnrolledInHIV',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Available',\n",
    "       'Health_spendingPerCapita', 'CurrNumPersOnART',\n",
    "       'Unigold.HIV.1.2_Test_Available', 'VCTcases_new', 'NumPersPerSqKm']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_df_2018 = df_on_2018[['geoUnit', 'Year',\n",
    "       'RegionArea', 'VLNS', 'VLNS_num', 'VLS', 'VLS_num', 'HCTS', 'Population', 'ART2coverage',\n",
    "       'Unigold.HIV.1.2_Test_Eligible', 'CumNumPersNotOnART_perc',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Stockout',\n",
    "       'HIVprevalence_num', 'Efavirenz.600Mg.Tablets_Treatment_Eligible',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Available',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Stockout',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Available',\n",
    "       'Determine.HIV.1.2_Test_Stockout',\n",
    "       'Determine.HIV.1.2_Test_Unavailable',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Unavailable_pct',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Stockout',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Unavailable',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Stockout',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Eligible', 'HIVprevalence',\n",
    "       'Unigold.HIV.1.2_Test_Unavailable', 'CumNumPersOnART',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable', 'Unigold.HIV.1.2_Test_Unavailable_pct',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Eligible',\n",
    "       'Unigold.HIV.1.2_Test_Stockout',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Eligible',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Unavailable_pct',\n",
    "       'Determine.HIV.1.2_Test_Unavailable_pct',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable',\n",
    "       'Zidovudine.60Mg.Lamivudine.30Mg.Nevirapine.50Mg.Tablets_Treatment_Unavailable_pct', 'rptHIVcases',\n",
    "       'Tenofovir.300Mg.Lamivudine.300Mg.Efavirenz.600Mg.Tablets_Treatment_Available',\n",
    "       'Nevirapine.Oral.Solution_Treatment_Unavailable',\n",
    "       'CumNumPersEnrolledInHIV',\n",
    "       'Efavirenz.600Mg.Tablets_Treatment_Available',\n",
    "       'Health_spendingPerCapita', 'CurrNumPersOnART',\n",
    "       'Unigold.HIV.1.2_Test_Available', 'VCTcases_new', 'NumPersPerSqKm']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/beire/anaconda2/envs/myenv3.6.5/lib/python3.6/site-packages/pandas/core/frame.py:3697: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    }
   ],
   "source": [
    "# reindex and clean up order numbers\n",
    "cleaned_df_2017.reset_index(inplace=True)\n",
    "cleaned_df_2017.drop(columns=\"index\", inplace=True)\n",
    "\n",
    "# reindex and clean up order numbers\n",
    "cleaned_df_2018.reset_index(inplace=True)\n",
    "cleaned_df_2018.drop(columns=\"index\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/beire/anaconda2/envs/myenv3.6.5/lib/python3.6/site-packages/pandas/core/frame.py:3697: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
     ]
    }
   ],
   "source": [
    "# these are not part of the mainland regions ! remove\n",
    "# and no data in the other datasets from these island counties\n",
    "\n",
    "cleaned_df_2017.drop(index=[23, 26, 27, 28], inplace=True)\n",
    "cleaned_df_2018.drop(index=[23, 26, 27, 28], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8fe5871588>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1400x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,10))\n",
    "sns.heatmap(cleaned_df_2017 == 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8fe5707470>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1400x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,10))\n",
    "sns.heatmap(cleaned_df_2018 == 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## let's start imputing some \"zero's\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15.167469598507349"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "impute_value = cleaned_df[~((cleaned_df[\"VLNS\"] == 100) | (cleaned_df[\"VLNS\"] == 0))][\"VLNS\"].median()\n",
    "impute_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 2,  9, 10, 11, 13, 14, 21, 22, 25])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = cleaned_df[((cleaned_df[\"VLNS\"] == 100) | (cleaned_df[\"VLNS\"] == 0))][\"VLNS\"].index.values\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/beire/anaconda2/envs/myenv3.6.5/lib/python3.6/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n",
      "/home/beire/anaconda2/envs/myenv3.6.5/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "for i in x:\n",
    "    cleaned_df[\"VLNS\"].loc[i] = impute_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "#cleaned_df[((cleaned_df[\"VLNS\"] == 100) | (cleaned_df[\"VLNS\"] == 0))][\"VLNS\"].index\n",
    "#cleaned_df.iloc[cleaned_df[((cleaned_df[\"VLNS\"] == 100) | (cleaned_df[\"VLNS\"] == 0))][\"VLNS\"].index] = impute_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#((cleaned_df[\"VLNS\"] == 100) | (cleaned_df[\"VLNS\"] == 0)).value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     24.433249\n",
       "1     43.187661\n",
       "2     15.167470\n",
       "3     12.770203\n",
       "4     14.792176\n",
       "5     11.420205\n",
       "6      8.529412\n",
       "7     15.542763\n",
       "8     25.543361\n",
       "9     15.167470\n",
       "10    15.167470\n",
       "11    15.167470\n",
       "12    26.538430\n",
       "13    15.167470\n",
       "14    15.167470\n",
       "15    10.011809\n",
       "16    16.917293\n",
       "17    14.311759\n",
       "18    18.667505\n",
       "19    18.860699\n",
       "20    13.881402\n",
       "21    15.167470\n",
       "22    15.167470\n",
       "24    14.423077\n",
       "25    15.167470\n",
       "Name: VLNS, dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_df[\"VLNS\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## we are going to apply this to 2 other Viral Load Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "178.5"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "impute_value = cleaned_df[~((cleaned_df[\"VLNS_num\"] == 100) | (cleaned_df[\"VLNS_num\"] == 0))][\"VLNS_num\"].median()\n",
    "impute_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "distrib_of_health_facilities_important"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_df.to_csv(\"cleaned_tanzania_indicators_2016.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_df_2017.to_csv(\"cleaned_tanzania_indicators_2017.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_df_2018.to_csv(\"cleaned_tanzania_indicators_2018.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (myenv3.6.5)",
   "language": "python",
   "name": "myenv3.6.5"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}