Malaria.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import rcParams\n",
    "import matplotlib.pyplot as plt\n",
    "import missingno as msno\n",
    "import xgboost as xgb\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import seaborn as sns\n",
    "\n",
    "from scipy.stats import spearmanr\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_vectors = pd.read_csv('Africa_Vectors_database_1898_2016.csv', encoding = \"ISO-8859-1\")\n",
    "df_amf = pd.read_csv('amf_distributions.csv', encoding = \"ISO-8859-1\")\n",
    "df_estimate_cases = pd.read_csv('estimate_cases.csv', encoding = \"ISO-8859-1\")\n",
    "df_estimated_deaths = pd.read_csv('estimated_deaths.csv', encoding = \"ISO-8859-1\")\n",
    "df_insecticide_resistance = pd.read_csv('insecticide_resistance.csv', encoding = \"ISO-8859-1\")\n",
    "df_population_stat = pd.read_csv('population_stats.csv', encoding = \"ISO-8859-1\")\n",
    "df_reported_deaths = pd.read_csv('reported_deaths.csv', encoding = \"ISO-8859-1\")\n",
    "df_reported_cases = pd.read_csv('reported_indigenous_confirmed_cases.csv', encoding = \"ISO-8859-1\")\n",
    "df_treatments_prevention = pd.read_csv('treatments_prevention.csv', encoding = \"ISO-8859-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 13464 entries, 0 to 13463\n",
      "Data columns (total 41 columns):\n",
      "Country                                   13464 non-null object\n",
      "GAUL_Admin1                               13364 non-null object\n",
      "GAUL_Admin2                               13075 non-null object\n",
      "Full_Name                                 13464 non-null object\n",
      "Lat                                       13330 non-null float64\n",
      "Long                                      13330 non-null float64\n",
      "LatLong_Source                            13331 non-null object\n",
      "YeStart                                   13464 non-null int64\n",
      "YeEnd                                     13464 non-null int64\n",
      "An gambiae_complex                        11596 non-null object\n",
      "An gambiae ss                             3990 non-null object\n",
      "SS M Form (An colluzzi or Mopti forms)    1331 non-null object\n",
      "SS S Form (savanah or Bamako forms)       1575 non-null object\n",
      "An arabiensis                             3648 non-null object\n",
      "An. melas                                 538 non-null object\n",
      "An. merus                                 254 non-null object\n",
      "An bwambae                                26 non-null object\n",
      "An funestus  s.l                          5095 non-null object\n",
      "An funestus s.s. (specified)              727 non-null object\n",
      "An rivulorum                              245 non-null object\n",
      "An leesoni                                188 non-null object\n",
      "An parensis                               41 non-null object\n",
      "An vaneedeni                              34 non-null object\n",
      "An nili s.l                               823 non-null object\n",
      "An moucheti s.l                           502 non-null object\n",
      "An pharoensis                             1902 non-null object\n",
      "An hancocki                               298 non-null object\n",
      "An mascarensis                            483 non-null object\n",
      "An marshalli                              444 non-null object\n",
      "An squamous                               1294 non-null object\n",
      "An wellcomei                              272 non-null object\n",
      "An rufipes                                999 non-null object\n",
      "An coustani s.l                           2692 non-null object\n",
      "An ziemanni                               663 non-null object\n",
      "An paludis                                376 non-null object\n",
      "Adults/Larvae                             13464 non-null object\n",
      "Sampling_Methods                          13464 non-null object\n",
      "Species_Identification                    13464 non-null object\n",
      "Other sib species names                   259 non-null object\n",
      "Other Anopheline species                  3118 non-null object\n",
      "Source_Title                              13464 non-null object\n",
      "dtypes: float64(2), int64(2), object(37)\n",
      "memory usage: 4.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df_vectors.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>GAUL_Admin1</th>\n",
       "      <th>GAUL_Admin2</th>\n",
       "      <th>Full_Name</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>LatLong_Source</th>\n",
       "      <th>YeStart</th>\n",
       "      <th>YeEnd</th>\n",
       "      <th>An gambiae_complex</th>\n",
       "      <th>...</th>\n",
       "      <th>An rufipes</th>\n",
       "      <th>An coustani s.l</th>\n",
       "      <th>An ziemanni</th>\n",
       "      <th>An paludis</th>\n",
       "      <th>Adults/Larvae</th>\n",
       "      <th>Sampling_Methods</th>\n",
       "      <th>Species_Identification</th>\n",
       "      <th>Other sib species names</th>\n",
       "      <th>Other Anopheline species</th>\n",
       "      <th>Source_Title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adults, Larvae</td>\n",
       "      <td>HLC, HBC, LC</td>\n",
       "      <td>M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ribeiro H &amp; Ramos HC (1975). Research on the m...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adults, Larvae</td>\n",
       "      <td>PSC, LC</td>\n",
       "      <td>M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ramos L (1988). Memorandum sent to Director Ge...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Cabungo</td>\n",
       "      <td>-8.5667</td>\n",
       "      <td>13.5000</td>\n",
       "      <td>Other</td>\n",
       "      <td>2002</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adults</td>\n",
       "      <td>IR, Bednet traps</td>\n",
       "      <td>M, PCR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Calzetta M, Santolamazza F, Carrara GC, Cani P...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Lifune</td>\n",
       "      <td>-8.4000</td>\n",
       "      <td>13.4490</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1970</td>\n",
       "      <td>1970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Y</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adults, Larvae</td>\n",
       "      <td>HLC, ABC, LC</td>\n",
       "      <td>M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ribeiro H &amp; Ramos HC (1975). Research on the m...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dembos</td>\n",
       "      <td>Dembos</td>\n",
       "      <td>-8.5156</td>\n",
       "      <td>14.5189</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>1940</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>De Mesquita B (1942). Consideraes sobre o im...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country GAUL_Admin1 GAUL_Admin2       Full_Name     Lat     Long  \\\n",
       "0  Angola       Bengo       Dande  Barra do Dande -8.4730  13.3620   \n",
       "1  Angola       Bengo       Dande       Boa Vista -8.5990  13.5660   \n",
       "2  Angola       Bengo       Dande         Cabungo -8.5667  13.5000   \n",
       "3  Angola       Bengo       Dande          Lifune -8.4000  13.4490   \n",
       "4  Angola       Bengo      Dembos          Dembos -8.5156  14.5189   \n",
       "\n",
       "  LatLong_Source  YeStart  YeEnd An gambiae_complex  \\\n",
       "0        Encarta     1967   1967                  Y   \n",
       "1        Encarta     1987   1987                  Y   \n",
       "2          Other     2002   2002                  Y   \n",
       "3        Encarta     1970   1970                NaN   \n",
       "4   Google Earth     1940   1940                  Y   \n",
       "\n",
       "                         ...                         An rufipes  \\\n",
       "0                        ...                                NaN   \n",
       "1                        ...                                NaN   \n",
       "2                        ...                                NaN   \n",
       "3                        ...                                NaN   \n",
       "4                        ...                                NaN   \n",
       "\n",
       "  An coustani s.l An ziemanni  An paludis    Adults/Larvae  Sampling_Methods  \\\n",
       "0             NaN          NaN         NaN  Adults, Larvae      HLC, HBC, LC   \n",
       "1             NaN          NaN         NaN  Adults, Larvae           PSC, LC   \n",
       "2             NaN          NaN         NaN          Adults  IR, Bednet traps   \n",
       "3               Y            Y         NaN  Adults, Larvae      HLC, ABC, LC   \n",
       "4             NaN          NaN         NaN         Unknown           Unknown   \n",
       "\n",
       "  Species_Identification Other sib species names Other Anopheline species  \\\n",
       "0                      M                     NaN                      NaN   \n",
       "1                      M                     NaN                      NaN   \n",
       "2                 M, PCR                     NaN                      NaN   \n",
       "3                      M                     NaN                      NaN   \n",
       "4                      M                     NaN                      NaN   \n",
       "\n",
       "                                        Source_Title  \n",
       "0  Ribeiro H & Ramos HC (1975). Research on the m...  \n",
       "1  Ramos L (1988). Memorandum sent to Director Ge...  \n",
       "2  Calzetta M, Santolamazza F, Carrara GC, Cani P...  \n",
       "3  Ribeiro H & Ramos HC (1975). Research on the m...  \n",
       "4  De Mesquita B (1942). Consideraes sobre o im...  \n",
       "\n",
       "[5 rows x 41 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_vectors.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1a1c412cf8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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xhIh4AvAx4NQyoyGl7t3ACRGxe0Q8HzgKcEZDSWojAy9JUgvNdlfDPYCzareP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\nwosQQgghhBBCUub/A+Tw2MvUqnlcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a1a51f1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "vectors_year = df_vectors.groupby(df_vectors.YeStart)['Country'].count().reset_index()\n",
    "\n",
    "fig= plt.figure(figsize=(10,6), dpi=100)\n",
    "fig.suptitle('Anopheles Mosquito Vectors Over the Years', fontsize=15, label ='Accident')\n",
    "plt.plot(vectors_year.YeStart.index,vectors_year.Country, marker ='.', color = 'red')\n",
    "plt.xlabel (\"Years\")\n",
    "plt.ylabel (\"Number of Total Vectors\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1138694e0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AcAcAADAA4Q4AAGAAwh0AAMAAhDsAAIABCHcAAAADEO4AAAAGINwBAAAMQLgDAAAYgHAH\nAAAwAOEOAABgAMIdAADAAIQ7AACAAQh3AAAAA9hyuKuqA6vqH6rqFfPxDavqtKr6UFX9TVVdYW6/\n4nx8znz+yK1+bwAAACbb0XP3qCRnbzp+SpKndfdRST6X5GFz+8OSfK67b5zkafN1AAAAbIMthbuq\nOiLJTyR5xnxcSX40yYvnS05Kct/58X3m48znj52vBwAAYIu22nP335M8Jsm35uPvTPL57r5wPj43\nyXXnx9dN8rEkmc9fMF9/MVV1QlWdXlWnn3/++VssDwAAYP+wcrirqp9Mcl53n7G5eSeX9h6cu6ih\n+8TuPqa7jzn88MNXLQ8AAGC/ctAWnnv7JPeuqnsmOSTJoZl68q5WVQfNvXNHJPn4fP25Sa6X5Nyq\nOijJYUk+u4XvDwAAwGzlnrvufnx3H9HdRya5f5I3dveDkrwpyf3my45P8rL58cnzcebzb+zuS/Tc\nAQAAsPcui33uHpvk0VV1TqY5dc+c25+Z5Dvn9kcnedxl8L0BAAD2S1sZlvlt3f3mJG+eH384yW12\ncs1Xkxy3Hd8PAACAi7sseu4AAADYx4Q7AACAAQh3AAAAAxDuAAAABiDcAQAADEC4AwAAGIBwBwAA\nMADhDgAAYADCHQAAwACEOwAAgAEIdwAAAAMQ7gAAAAYg3AEAAAxAuAMAABiAcAcAADAA4Q4AAGAA\nwh0AAMAAhDsAAIABCHcAAAADEO4AAAAGINwBAAAMQLgDAAAYgHAHAAAwAOEOAABgAMIdAADAAIQ7\nAACAAQh3AAAAAxDuAAAABiDcAQAADEC4AwAAGIBwBwAAMADhDgAAYADCHQAAwACEOwAAgAEIdwAA\nAAMQ7gAAAAYg3AEAAAxAuAMAABiAcAcAADAA4Q4AAGAAwh0AAMAAhDsAAIABCHcAAAADEO4AAAAG\nINwBAAAMQLgDAAAYgHAHAAAwAOEOAABgAMIdAADAAIQ7AACAAQh3AAAAAxDuAAAABiDcAQAADEC4\nAwAAGIBwBwAAMADhDgAAYAArh7uqul5Vvamqzq6qs6rqUXP7NarqdVX1ofnr1ef2qqo/rapzquq9\nVXWr7fpHAAAA7O+20nN3YZJf7+4fSHLbJI+oqpskeVySN3T3UUneMB8nyT2SHDX/OSHJn23hewMA\nALDJyuGuuz/R3e+eH38xydlJrpvkPklOmi87Kcl958f3SfKcnpya5GpV9d0rVw4AAMC3bcucu6o6\nMsktk5yW5Nrd/YlkCoBJrjVfdt0kH9v0tHPnth3/rhOq6vSqOv3888/fjvIAAACGt+VwV1VXTfKS\nJL/a3V/Y3aU7aetLNHSf2N3HdPcxhx9++FbLAwAA2C9sKdxV1cGZgt3zu/ulc/OnNoZbzl/Pm9vP\nTXK9TU8/IsnHt/L9AQAAmGxltcxK8swkZ3f3n2w6dXKS4+fHxyd52ab2B8+rZt42yQUbwzcBAADY\nmoO28NzbJ/n5JGdW1Xvmtt9M8odJXlRVD0vy0STHzedeleSeSc5J8uUkD9nC9wYAAGCTlcNdd78t\nO59HlyTH7uT6TvKIVb8fAAAAu7Ytq2UCAACwLOEOAABgAMIdAADAAIQ7AACAAQh3AAAAAxDuAAAA\nBiDcAQAADEC4AwAAGIBwBwAAMADhDgAAYADCHQAAwACEOwAAgAEIdwAAAAMQ7gAAAAYg3AEAAAxA\nuAMAABiAcAcAADAA4Q4AAGAAwh0AAMAAhDsAAIABCHcAAAADEO4AAAAGINwBAAAMQLgDAAAYgHAH\nAAAwAOEOAABgAMIdAADAAIQ7AACAAQh3AAAAAxDuAAAABiDcAQAADEC4AwAAGIBwBwAAMADhDgAA\nYADCHQAAwACEOwAAgAEIdwAAAAMQ7gAAAAYg3AEAAAxAuAMAABiAcAcAADAA4Q4AAGAAwh0AAMAA\nhDsAAIABCHcAAAADEO4AAAAGINwBAAAMQLgDAAAYgHAHAAAwAOEOAABgAMIdAADAAIQ7AACAAQh3\nAAAAAxDuAAAABiDcAQAADEC4AwAAGMA+D3dVdfeq+mBVnVNVj9vX3x8AAGBE+zTcVdWBSf5Xknsk\nuUmSB1TVTfZlDQAAACPa1z13t0lyTnd/uLu/nuSvk9xnH9cAAAAwnOrufffNqu6X5O7d/fD5+OeT\n/FB3//Kma05IcsJ8+H1JPrjPClzdNZN8eukiBuL13F5ez+3jtdxeXs/t5fXcXl7P7eO13F5ez+21\nDq/nDbr78D258KDLupId1E7aLpYuu/vEJCfum3K2R1Wd3t3HLF3HKLye28vruX28ltvL67m9vJ7b\ny+u5fbyW28vrub1Gez339bDMc5Ncb9PxEUk+vo9rAAAAGM6+DnfvSnJUVd2wqq6Q5P5JTt7HNQAA\nAAxnnw7L7O4Lq+qXk7w2yYFJntXdZ+3LGi4jazWMdA14PbeX13P7eC23l9dze3k9t5fXc/t4LbeX\n13N7DfV67tMFVQAAALhs7PNNzAEAANh+wh0AAMAA9vVWCABrZV786Xvnww929zeWrAc28/MJwGbm\n3K2gqg5MclJ3/9zStQCXnaq6c5KTkvxzpn06r5fk+O4+ZcGyIImfz+1WVYcl+Z4kh2y0dfc7lqsI\nYO/puVtBd3+zqg6vqit099eXrmckVXWtXPyN9aMLlrO2qup2SY7Mpt/x7n7OYgWtrz9Ocrfu/mCS\nVNX3Jnlhkh9ctKo1VlWHJ3lskpvk4r/rP7pYUevLz+c2qaqHJvn1JNdNcmaSWyc5NcmdFyxrLVXV\nT+3ufHe/dF/VMpL5/85fyCXf2x+6VE3rqqpum+TpSX4gyRUyreD/pe4+dNHCtolwt7p/TvL2qjo5\nyZc2Grv7TxaraI1V1b0zfVC5TpLzktwgydlJjl6yrnVUVc/NdPf5PUm+OTd3EuFu7x288cE5Sbr7\n/1XVwUsWNIDnJ/mbJD+R5BeTHJ/k/EUrWl9+PrfPryU5Jsn/7e47VtXRSf7LwjWtq3vt5lwnEe5W\n87Ikb03y+lz03s5q/memvbb/NtPv/YOT3HjRiraRcLe6j89/DkjyHQvXMoInJbltktd39y2r6i5J\nHrBwTevqmCQ3aWOut8PpVfXMJM+djx+U5IwF6xnBd3b3M6vqUd39liRvqaq3LF3Umtrx5/Pn4udz\nVV/t7q9UVeZROWdV1fcvXdQ66u6HLF3DoK7c3Y9duohRdPc5VXVgd38zybOrapgh2MLdirr795au\nYTDf6O7PVNUBVXVAd7+pqp6ydFFr6n1JvivJJ5YuZAD/Kckjkjwy05ymU5L870UrWn8bC358oqp+\nItNNsiMWrGed+fncPp+oqqsleXmS11bVZ5N8auGa1t78O350Lj4E+4nLVbTWXlFV9+zuVy1dyAC+\nPC9G9Z6q+qNMn5eusnBN28aCKiuaxz4/Jpf8T8u8kRVU1euT3DfJHyS5Zqahmbfu7tstWtgaqqo3\nJblFkncm+dpGe3ffe7GiYFZVP5lpaNH1Ms15ODTJ73X3yYsWtuaq6hpJjuju9y5dy7qrqmOTHJbk\nld39tUu7np2rqj9PcuUkd0nyjCT3S/LO7n7YooWtqar6YqYA8rVMN8kqSY8yT2xfqqobZPqceXCm\nIdmHJfnf3X3OooVtE+FuRVX195nmjfxGNs0b0WW+mqq6SpKvZvrP6kGZftGe392fWbSwNVRVP7Kz\n9nkIHHuhqs7MNEdkswuSnJ7kv/r5ZElV9eYk9840Cuc9meYuvqW7H71kXeukqq7S3V+qqp1+QO7u\nL+zrmkZRVe/t7ptt+nrVJC/t7rstXRuMzLDM1Zk3sr0ekinMfS7T0t6sqLvfUlXXzrTaWzLdKT1v\nyZrW2KszTVx/wXx8/0w3IC5I8lfZ/cIBbFJVj+nuP6qqp+eSgTnd/cgFylp3h3X3F6rq4Ume3d1P\nqCo9d3vnxUnukeSsTD+XtcPX6y9X2tr7yvz1y1V1nSSfSXLDBetZe1V19SRH5eIjxmx9soeq6kXd\n/TO7uHGb7r7ZAmVtO+FudeaNbK/vSvKuqnp3kmclea0FQVZTVT+T5KlJ3pzpA8rTq+o/d/eLFy1s\nPd2+u2+/6fjMqnp7d9++quxzuXfOnr+evmgVYzmoqr47yc8k+a2li1lH3X2P+ev1lq5lQK+Y5zE+\nNcm7M32YfsayJa2v+SbOozJ91nxPpkXo/m8S04H23KPmrz+5aBWXMcMyV2TeyParqkpyt0y9eMck\neVGSZ3b3Py1a2Jqpqn9M8mMbvXXz/NDXd/fNl61s/cyv5Qndfdp8fJskf9ndN6+qf+juWy5b4fqa\nh8F1d39x6VrWVVUdl+S3k7ytu3+pqm6U5Knd/dMLl7aWquq7MvXUbd5DbJgV9JZUVVdMckh3X7B0\nLetq7m26dZJTu/sW82quv9fdP7twaVzO6LlbUXe/Yn54QabJwmxRd3dVfTLJJ5NcmOTqSV5cVa/r\n7scsW91aOWCHYZifybRlB3vv4UmeNc8VqSRfSPLweY7oHyxa2ZqqqmOSPDvTFjJVVZ9P8tDutoT/\nXuruv820T9PG8YeTCHYrqKrfz7SVxAdy8f1B77lYUWtuZ5uZV9UFSc40VWAlX+3ur87bdVyxuz9Q\nVd+3dFHrZF6UZme9WkMtTqPnbkVVdVKSR3X35+fjqyf54+5+6LKVraeqemSmRWk+nWnYxv/p7m9U\n1QFJPtTd37NogWukqp6a5GZJXjg3/WyS91rsZ3VVdVim/y8/v3Qt626eE/aI7n7rfHyHTKuUDTHX\nYV+qqkOSPCyXXLXZ+9BeqqoPJrl5d3916VpGUVWvTPLDSd40N905yalJvjfJE7v7ubt4KjtRVX+X\naWTTr2Yaivm5JAd3txsQXIyeu9XdbPMHve7+XFUZorW6ayb5qe7+l82N3f2teQgse6i7//N8x/QO\nme5Gndjdf7dwWWtpHkr000mOzDS/KYl9mrboixvBLkm6+23z3VT23nMz9TT9eJInZlpp+OzdPoNd\n+UiMcNhu30ryA939qSSZF/r6syQ/lGlPRuFuL3T3v58f/u685dFhSV6zYElrr6qulYvfGPvoguVs\nG+FudQdU1dXn1R039hjyeq6ou3+nqg6cV9TaPN/ho93tw8ree3umRX860353rOZlmYZen5FNeway\nJe+sqr/I1LPcmXqW31xVt0qS7n73ksWtmRt393FVdZ/uPqmqXpDktUsXtaa+mOQf5j1XN+8PaluJ\n1R25Eexm5yX53u7+bFV9Y1dP4uLmz5c7OnP+etUkn92H5Qyhqu6d5I+TXCfTz+UNMt0YO3rJuraL\nMLK6P07yjqraWIHwuCRPXrCetVZVv5zkd5N8KtPdvmT64Geo1l6yWua2OqK77750EYO5xfz1CTu0\n3y7T77yV3/bcxgfkz1fVTTPNVz5yuXLW2muiF2S7vbWqXpGL5oXeL8kp85xlQ9z33Bm5aHuO62ca\njllJrpbko7G9xCqelGm10dd39y2r6i5JHrBwTdvGnLstqKqbZPogUkne0N3vX7iktVVV5yT5IZtC\nb53VMrdPVZ2Y5OndfealXgz72Lw0+kuS/LtM+y5eNclvd/dfLFkXJN9eAXvzFIG3JXmJbY5WU1V/\nnuTk7n7VfHyPJHft7l9ftrL1U1Wnd/cx8+elW85TgN7Z3bdZurbtoOduRVX1PUn+qbvfX1V3TnLX\nqvq4BRdW9rFMw9/YOqtlbp87JPkPVfWRTEO1NlbU0qO8onlxmickudPc9JZMiyv4/d9L3b2xZ9gp\nSW60ZC3rbn5Pf3KSm+Tic3C+d7Gi1ty8AvbpSS7o7tdX1ZUz3YAwx3Y1t+7uX9w46O5XV9WTlixo\njX1+XgX7lCTPr6rzMq3SPgThbnUvSXJMVd040+qOL0/yglg2eVUfzjTv5pW5+HyHP1mupLX1mqp6\nbS6+WuarFqxnnd1j6QIG9Kwk78u08XaS/HymrREusWw6O1dVf9Xd/2F+fHx3n7RwSSP4qyT/Ncl/\ny/R7/5BcNEWAFVTVLyQ5Ick1knxPkusm+fMkxy5Z1xr7dFX9lyTPyzRM8+cy3bxl790nyVeT/Fqm\nhagOy7Qo1RAMy1xRVb27u29VVY9J8pXufrpNjVdXVTvOv0mSdPfv7etaRrDDapmnWC1zdVV18yR3\nnA/f2t1SpLK2AAAZMklEQVT/uGQ9666q3tPdt7i0NnZt83vNxnvR0jWtu6o6o7t/sKrO7O5/N7e9\ntbvveGnPZeeq6j1JbpPktE0/r99+fdk788Iqm0c9nJJpE3MLqqyoqg7NxRfxG+K11HO3um9U1QOS\nPDjJvea2gxesZ61thLiqukp3f2npetZVVR2Y5LXdfdckL126nnVXVY9K8gu56LV8XlWd2N1PX7Cs\ndfeVqrpDd78tSarq9km+snBN68Zd2e33tXmO2D9V1S8m+dck11q4pnX3te7++sYWMlV1UPzsrmwO\nHo9auo4RVNV/zNRT95VMPfSV6WdziOHtwt3qHpLkF5M8ubs/UlU3zNRVzgqq6oeTPDPTePzrz70l\n/7G7f2nZytZLd3+zqr5cVYeZw7QtHpZpoZ8vJUlVPSXJ/00i3K3uPyU5aWNj+EzLeP+HRStaP0dU\n1Z9mev02Hn9bdz9ymbLW2q9lev95ZKa5d4cmsRn81rylqn4zyZWq6seS/FKmKSysYN7b7hLhuLut\nMLz3fiPJ0d396aULuSwYlsnlQlWdlmmZ5JM3Dd94X3ffdNnK1k9VvSjTEr+vS/LtXlAf+PZeVZ2Z\naRL7V+fjQ5K8y7CirZuHw6S7v7B0Leumqo7f3Xlz8PbefIPxtO7+1qa2m3X3excsa61V1QGZbpDd\nLdONiNcmeYbVMldTVT+46fCQJD+d5MLufsxCJa2tqnpNkp/q7i8vXctlQc/diqrqqCR/kEuurDVE\nl+4SuvtjG8M3Zt9cqpY198r5D1v37CSnVdXGnMX7ZuphZi9V1c919/Oq6tE7tCexeNLeEN4uE29M\ncmpV/Ux3nz+3/VUS8xlXNAflv5z/sEXdfcYOTW+vqrcsUsz6e3ymvapPy8UX8RviJrhwt7pnZ5rY\n+rQkd8k0TLN2+wx252NVdbskXVVXyDQ05uyFa1pL3X1SVV0pyfW7+4NL17POuvtPqurNuWhxmod0\n9z8sW9Xausr89TsWrQJ27gNJ/numVZsf2t2nxXv6lszzaX83yQ0yfd7c2ErGTfAVzAuqbDggyTFJ\nvmuhctbdX2S6oXNmBlwV17DMFVlZa3tV1TWT/I8kd830BvD3SR45yspF+1JV3SvTct5X6O4bVtUt\nMu0jdu+FS1sbVXXrJNfs7lfv0H7vJP+6kzuowBrbtAL29yf560xL9p9gJdLVVdUHMs1lPCObRuJ0\nt+X7VzDvt7rxof3CJP+c6b39bYsVtaaq6h3dfbul67is6Llb3Vfn8eQfqqpfjpW1VlJVR3T3ufOk\n1gftcO5eMfl6Fb+bafnpNydJd79nXvCHPffU7HyRj/cnOTGJCewrqqrDM61AemQuvgS1xStYUiVJ\nd3+gqu6YaUimubVbc8GON8jYe/PNxo919w3n4+Mzzbf750zvSey9N1XVCZk+Y24eljlEh4KeuxXN\nv2xnJ7lakidl2gDxj7r71EULWzNV9cEkP97d/7xD+0OS/Jfu/p5FCltjVXVad//QDnthvbe7b7Z0\nbetid3sxVdU/dvfN93VNo6iqdyR5ay55N/8lixW1puYFfh6W5OhcfO63oLyXquqAzYupzG036u4P\nL1XTuquqP0xyYKatZDZ/gH73YkWtoap6d5K7dvdnq+pOmXqWfyXJLZL8QHffb9EC19DcC7qjYYYM\n67lbUXe/a374b5nm27GaX0vyuqq6Z3d/KEmq6vFJHpjkRxatbH29r6oemOTAeeGfRyZ5x8I1rZsr\n7ebcVXZzjkt35e5+7NJFDOK5meaK/XimPZseFHOVV3WNqnpoduhRTnLCMuUM4Yfmr8dsausY+bC3\nDtzUo/SzSU6cb4a9ZN4onr200Qs6KuFuRVX18lxyv5ELkpye5C82lk5n97r7VVX1tSSvrqr7Jnl4\nklsnuVN3f27Z6tbWryT5rUx3Sl+YafnpJy1a0fp5fVU9OVPv8bd/z6vq9zJNwmZ1r5hv5rxq6UIG\ncOPuPq6q7jMvpPSCTL/v7L2XJTk1ydtipeZt0d13WbqGQRxYVQd194VJjs3Fbzj4HL+Cqjo4056r\nd5qb3pzps/s3FitqGxmWuaKq+h9JDs/04TmZ7qZ8MtMd/0O7++eXqm0dVdUdkvyfTD1MPyMcs6Sq\nukqSZ2Sau7hxZ/TmmW7ePLy7/22p2tZVVX0x0w2xytT7+bUk38hFK+gdumB5a6mq3tndt6mqUzJt\nEP3JJO8cZWjRvlRV7+nuWyxdx0iq6tpJfj/Jdbr7HlV1kyQ/3N22k9kLVfVbSe6Z5NNJrp/kVt3d\nVXXjJCd19+0XLXANVdUzkhycZGNbmZ9P8s3ufvhyVW0f4W5FVXVKd99pZ21VdVZ3H71Ubetkhw98\nV8z0Ye+b8YFvZVV1TJLfzCUXrDDnbi9V1Y0yzWdKkrPMv+HypKoenuQlSW6WaXueqyb5ne7+80UL\nW0NV9QdJ3tTdf790LaOoqldn+rn8re6+eVUdlOQfdjWfmV2rqtsm+e4kf9/dX5rbvjfJVc1h3Hs7\nmzs/0nx64W5FVXV2poVAPjofXz/Ja7r7JpsXsoB9bV6k5j9nh/1buvtfFisKZlX1hu4+9tLaYF+q\nqs9lWhjty0m+notuMF5jt09kl6rqXd196x0W99JDyuLmRWqO6+5/mo9vlOTFo2x9Yqzu6n49yduq\n6p8yvQncMMkvzcO5TtrtM+GydX53n7x0EbDZvLLjVZJcs6qunos2iD40yXUWK2yNVdUVMy2JfmQu\n3kv/xKVqWmPXXLqAAX2pqr4z8/oEc+/TBcuWBEmmG+BvqqqN0ThHZqDFEfXcbcH8xvr9mT6kfMA8\nMS4PqurYJA9I8oZcfPnply5WFPu9qnpUkl/NFOQ+vunUF5L8ZXf/z0UKW2NV9ZpMH5Z33Fbijxcr\nao1V1WFJvicX31bCSsMrqqpbJXl6kpsmeV+mdQru193vXbQw9lub9gz85PwZ/j8muWum+cqPs88d\nqaqbJrlJLv5G8JzlKoKkqp6X6abDWbloWGbb+2o182I/R3X3s+cNuK/a3TvbI4c9UFW/0t1PX7qO\nEVTV+7r7pkvXMYKqeliSRye5bqYh7bdOcmp333nJutbRDh+gD8r0AfqnM224/TujfIBm/ewvewYe\nsHQB66qqnpDpjtTTk9wlyR8lufeiRcHk5t19THcf390Pmf8IdiuYf88fm+Txc9PBSZ63XEXrq6oe\nkyTd/fSqOm6Hc7+/TFVr7x1VZXGK7fGrmfZj++fuvmOSH0zyiWVLWlt/kWneYpLcLtPWPP8ryeeS\nnLhUUZBd7BnY3b+d5MYL1rWthLvV3S/TfiOf7O6HZFom/YrLlgRJklPnJafZun+f6abNl5Kkuz+e\n5DsWrWh93X/T48fvcO7u+7KQgdwhyRlV9cGqem9VnVlVhryt5qvd/ZUkqaordPdZmUZAsPf2iw/Q\nrKUD597kZPoMv3nf2mHWIRnmH7KAr3T3t6rqwqo6NMl5SewtxOXBHZIcX1UfyTTnbmPVN1sh7L2v\nz/sJbSwIcJWlC1pjtYvHOztmz9xj6QLW3abNoT9RVVdL8vIkr62qzyb51LLVrS2bbnN59cIkb6mq\nTyf5SpK3Jsm8Z+Awi/34JVvd6fMbwV9mmsz+b0neuWxJkEQvyHZ6UVX9RZKrVdUvJHlopt959l7v\n4vHOjtmNqjq0u7+Q5ItL1zKAd2baFHpjWsVvz4tSHZbklcuVtdb2iw/QrJ/ufnJVvSEX7Rm48d5z\nQKa5d0OwoMo2qKojkxxqBSguT6rqWrn4Yj8fXbCctVVVP5bkbpl6l17b3a9buKS1VFXfzDS8tZJc\nKdN+YpmPD+nug5eqbd1U1Su6+yfn3vnOxXs+u7uNItlD9qW9bNh0G5Yj3O2leWnfXfKfFkurqnsn\n+eNMS86fl+QGSc7u7qMXLQy4zFVVtTf2PVZV5yb5k12d7+5dngO4PDIsc+9t7B90SKaVtf4x013T\nmyU5LdN8J1jSk5LcNsnru/uWVXWXTPvesZeq6qeSPCXJtTL9nm/MXzx00cIgSVU9sbt/Z9PxAUme\nm+RBy1W1dg5MctWY9wkMQrjbS919lySpqr9OckJ3nzkf3zTJbyxZG8y+0d2fqaoDquqA7n5TVT1l\n6aLW1B8luVd3n710IbAT16+qx3f3H8wb8v5tEqNH9s4nuvuJSxcBsF2Eu9V9/0awS5Lufl9V3WLJ\ngmD2+aq6apJTkjy/qs5LcuHCNa2rTwl2XI49JNPv+OMz7bf66u5+2sI1rRs9dsBQzLlbUVW9MNPi\nAM/LNKH95zJNFDb8jUXMK5FdO8l7Mq1QdkCm4Vk3SPLK7j5jwfLWyjwcM0l+JMl3Jfk/mbaVSJJ0\n90uXqAuSS8z9PjjTptFvT/LMxNzvvVFV19i0JxvA2hPuVlRVhyT5T0nuNDedkuTPuvury1XF/qyq\nXpHkN3dctbWqjknyhO6+1zKVrZ+qevZuTnd3P3SfFQM7qKo37eZ0d/eP7rNiALhcEe5gEFX1vu6+\n6S7Ondnd/25f17Tuqur23f32S2uDfW1ePOW47v6bpWsB4PLjgKULWFdVdVRVvbiq3l9VH974s3Rd\n7NcO2c25K+2zKsby9D1sg32qu7+V5BFL1wHA5YsFVVb37CRPSPK0TBPZHxITs1nWu6rqF7r7Lzc3\nVtXDkphvtxeq6oeT3C7J4VX16E2nDs20dDpcHryuqn4jyd9kmgOeJDGHDGD/ZVjmiqrqjO7+wc3D\n3arqrd19x6VrY/9UVddO8ndJvp6LwtwxSa6Q5N939yeXqm3dVNWPJLlzkl9M8uebTn0xycu7+0NL\n1AWbVdVHdtLc3X2jfV4MAJcLwt2KqurtSe6Y5MVJ3pjkX5P8YXd/36KFsd+bNy3fmHt3Vne/ccl6\n1llV3aC7/2XpOgAA9oRwt6KqunWSs5NcLcmTkhyW5I+6+9RFCwNgv1BVD95Ze3c/Z1/XAsDlg3AH\nAGuoqjYv7nNIkmOTvLu777dQSQAsTLjbS1V18u7Od/e991UtwGWjqp7S3Y+tquO6+2+Xrgf2RFUd\nluS53ocA9l/C3V6qqvOTfCzJC5Oclh1WyOzutyxRF7B9qurMJLdKclp332rpemBPVNXBSd7b3T+w\ndC0ALMNWCHvvu5L8WJIHJHlgklcmeWF3n7VoVcB2ek2STye5SlV9IdNNnN742t2HLlkcJElVvTzT\nz2Uy7Vt7kyQvWq4iAJam524LquqKmULeU5M8sbttbgwDqaqXdfd9lq4DdmbesmPDhUn+pbvPXaoe\nAJYn3K1gDnU/kSnYHZnk5CTP6u5/XbIuYPvN+wfeej48rbvPX7Ie2JmqumaSz7Q3dYD92gFLF7Bu\nquqkJO/INB/n97r71t39JMEOxlNVxyV5Z5LjkvxMkndWlZUIWVRV3baq3lxVL62qW1bV+5K8L8mn\nquruS9cHwHL03O2lqvpWki/Nh5tfPHNxYDBV9Y9Jfqy7z5uPD0/y+u6++bKVsT+rqtOT/Gam/VVP\nTHKP7j61qr4/0xzwWy5aIACLsaDKXupuvZ2w/zhgI9jNPhMjHljeQd3990lSVU/s7lOTpLs/UFW7\nfyYAQxPuAHbtNVX12kxbnyTJzyZ51YL1QJJ8a9Pjr+xwznAcgP2YYZkAu1FVP5XkDpmGXp/S3X+3\ncEns56rqm5mmB1SSKyX58sapJId098FL1QbAsoQ7AACAAZg7AgAAMADhDgAAYADCHcAuVNVVquqA\nTccHVNWVl6wJAGBXhDuAXXtDks1h7spJXr9QLQAAuyXcAezaId39bxsH82M9dwDA5ZJwB7BrX6qq\nW20cVNUP5pL7igEAXC7YxBxg1341yd9W1cfn4+/OtJE5AMDljn3uAHajqg5O8n2ZNoj+QHd/Y+GS\nAAB2SrgD2EFV/Wh3v7Gqfmpn57v7pfu6JgCAS2NYJsAl/UiSNya5107OdRLhDgC43NFzBwAAMAA9\ndwA7qKpH7+58d//JvqoFAGBPCXcAl/QdSxcAALC3DMsEAAAYgE3MAXahqm5UVS+vqvOr6ryqellV\n3WjpugAAdka4A9i1FyR5UabNy6+T5G+TvHDRigAAdkG4A9i16u7ndveF85/nZdoKAQDgcseCKgA7\nqKprzA/fVFWPS/LXmULdzyZ55WKFAQDshgVVAHZQVR/JFOZqJ6e7u827AwAud4Q7AACAARiWCbAL\nVfXgnbV393P2dS0AAJdGuAPYtVtvenxIkmOTvDuJcAcAXO4Ylgmwh6rqsCTP7e57L10LAMCObIUA\nsOe+nOSopYsAANgZwzIBdqGqXp6L9rU7MMkPZNrUHAD+f3v3EmprWYcB/Pl7KTU6ea/0oBZYIKmp\niahhYVkEURA2CSO6B+GlQZMG2aRmRWUF0Y2cZpQZQZIDIeRkmtrAvJRx0qC8nMKTlKL+G+x1crv2\netfeNvBbLH4/+Di835o8o4/9nPcGK8eyTICBqnrLpuHTSfZ290NT5QEAWMayTICB7r45yb1JXpHk\n6GwUPACAlaTcAQxU1ceS3JrkfUkuTbKnqj4ybSoAgMUsywQYqKp7k1zQ3Y/NxsckuaW7Xz9tMgCA\nrczcAYw9lGT/pvH+JA9OlAUAYCkzdwADVXVtktOTXJ+NUzPfm41lmvclSXd/Zbp0AADP5yoEgLE/\nzZ4Drp/9+/IJsgAALGXmDmAbVfWy7n5i6hwAAMvYcwcwUFXnV9XdSf4wG59ZVd+aOBYAwELKHcDY\nV5O8M8ljSdLddyW5aNJEAAADyh3AEt09fzrmM5MEAQDYhgNVAMYerKoLknRVvSTJFZkt0QQAWDUO\nVAEYqKpjk3wtyduTVJIbk1x54FJzAIBVotwBvABOzgQAVpU9dwALVNWJVfWm2XLMVNXxVfWlJPdP\nHA0AYCHlDmBOVV2V5M4k1yTZU1UfysZeu8OTnDNlNgCAEcsyAebM7rZ7c3fvq6qTkvwxyUXdvWfi\naAAAQ2buALb6T3fvS5Lu/kuS+xQ7AGDVuQoBYKvdVfX1TePjN4+7+4oJMgEALKXcAWz12bnx7ZOk\nAAB4Aey5AwAAWAP23AEAAKwB5Q4AAGANKHcAAABrQLkDGKiqH1bVkZvGR1XV96fMBAAwotwBjJ3R\n3f88MOjufyQ5a8I8AABDyh3A2EFVddSBQVUdHVfIAAAryh8pAGNfTnJLVV03G78/yRcnzAMAMOSe\nO4Alquq0JBcnqSQ3dffdE0cCAFhIuQOYU1W7uvvx2TLMLbp734udCQBgO8odwJyq+nl3v7uq/pxk\n80eyknR3v3aiaAAAQ8odAADAGnBaJsBAVd20k3cAAKvAaZkAc6rqsCRHJDl2dhVCzX7aleSEyYIB\nACyh3AFs9ckkV2WjyN2e58rd40m+OVUoAIBl7LkDGKiqy7v7mqlzAADshHIHsERVvSHJaUkOO/Cu\nu6+dLhEAwGLKHcBAVV2d5K3ZKHe/SPKuJL/u7kunzAUAsIjTMgHGLk3ytiR/6+4PJzkzyUunjQQA\nsJhyBzD27+5+NsnTVbUrycNJXGAOAKwkp2UCjN1WVUcm+U42Ts38V5Jbp40EALCYPXcAC1RVJdnd\n3Q/Oxqck2dXdv58yFwDAiHIHMFBVt3f3OVPnAADYCXvuAMb2VNW5U4cAANgJM3cAA1V1d5LXJdmb\n5IkklaS7+4xJgwEALKDcAQxU1cmL3nf33hc7CwDAdizLBBh7dZJ93b13Vuj2JXnVxJkAABYycwcw\nUFV3JDm7Zx/KqjooyW3dffa0yQAAtjJzBzBWvel/wGYXmrsfFABYScodwNgDVXVFVR06e65M8sDU\noQAAFlHuAMY+leSCJH+dPecl+cSkiQAABuy5AwAAWANm7gAGqmp3Vf2kqh6uqr9X1Y+ravfUuQAA\nFlHuAMZ+kORnSU5IcmKSG2bvAABWjmWZAANVdWd3v3G7dwAAq8DMHcDYo1V1WVUdPHsuS/LY1KEA\nABYxcwcwUFUnJflGkvOTdJJbklzZ3XsnDQYAsIByBwAAsAYOmToAwKqqqtckuTzJKdn0vezu90yV\nCQBgRLkDGPtpku9l45TMZyfOAgCwlGWZAANV9ZvuPm/qHAAAO6HcAQxU1QeSnJrkxiRPHnjf3b+b\nLBQAwIBlmQBjpyf5YJKL89yyzJ6NAQBWipk7gIGquifJGd391NRZAAC24xJzgLG7khw5dQgAgJ2w\nLBNg7JVJ7qmq3+b5e+5chQAArBzlDmDs6qkDAADslD13AEtU1clJTu3uX1XVEUkO7u79U+cCAJhn\nzx3AQFV9PMl1Sb49e3ViNi42BwBYOcodwNink1yY5PEk6e77kxw/aSIAgAHlDmDsyc3XIFTVIdm4\n5w4AYOUodwBjN1fV55IcXlWXJPlRkhsmzgQAsJADVQAGquqgJB9N8o4kleSXSb7bPpwAwApS7gCW\nqKrjkqS7H5k6CwDAMpZlAsypDV+oqkeT3JPk3qp6pKo+P3U2AIAR5Q5gq6uycUrmud19THcfneS8\nJBdW1WemjQYAsJhlmQBzquqOJJd096Nz749LcmN3nzVNMgCAMTN3AFsdOl/skv/tuzt0gjwAANtS\n7gC2eur//A0AYDKWZQLMqapnkjyx6Kckh3W32TsAYOUodwAAAGvAskwAAIA1oNwBAACsAeUOAABg\nDSh3AAAAa0C5AwAAWAPKHQAAwBr4L4Dheps9NV3+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113869748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,8))\n",
    "df_vectors['Country'].value_counts().nlargest(10).plot(kind = 'bar', color = 'brown')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YeStart</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1902</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1903</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1904</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1910</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1930</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1942</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1945</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1952</td>\n",
       "      <td>937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1958</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1959</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1960</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1964</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1965</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1966</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1967</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1968</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1971</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1984</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1985</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1987</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1988</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1989</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1991</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1993</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1994</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1996</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1997</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1998</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1999</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2000</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2001</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2002</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2003</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2004</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2006</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2008</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2010</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2011</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2012</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2013</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2014</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    YeStart  Country\n",
       "0      1902        4\n",
       "1      1903       24\n",
       "2      1904       28\n",
       "3      1910        1\n",
       "4      1930        4\n",
       "5      1942       10\n",
       "6      1945        1\n",
       "7      1952      937\n",
       "8      1958        1\n",
       "9      1959        2\n",
       "10     1960        6\n",
       "11     1964        8\n",
       "12     1965        8\n",
       "13     1966       33\n",
       "14     1967       19\n",
       "15     1968       16\n",
       "16     1971        3\n",
       "17     1984        1\n",
       "18     1985        1\n",
       "19     1987        5\n",
       "20     1988        5\n",
       "21     1989        3\n",
       "22     1991        2\n",
       "23     1993        3\n",
       "24     1994       12\n",
       "25     1996        7\n",
       "26     1997        5\n",
       "27     1998        3\n",
       "28     1999       38\n",
       "29     2000        7\n",
       "30     2001       11\n",
       "31     2002        2\n",
       "32     2003        8\n",
       "33     2004        1\n",
       "34     2006       15\n",
       "35     2008        3\n",
       "36     2010        1\n",
       "37     2011        6\n",
       "38     2012        5\n",
       "39     2013       14\n",
       "40     2014       11"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_M1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YeStart</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1898</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1899</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1900</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1901</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1902</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   YeStart  Country\n",
       "0     1898        2\n",
       "1     1899        3\n",
       "2     1900       19\n",
       "3     1901       23\n",
       "4     1902       42"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectors_year.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 167 entries, 0 to 166\n",
      "Data columns (total 6 columns):\n",
      "#_llins         167 non-null int64\n",
      "location        167 non-null object\n",
      "country         167 non-null object\n",
      "when            167 non-null object\n",
      "by_whom         167 non-null object\n",
      "country_code    163 non-null object\n",
      "dtypes: int64(1), object(5)\n",
      "memory usage: 7.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df_amf.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>#_llins</th>\n",
       "      <th>location</th>\n",
       "      <th>country</th>\n",
       "      <th>when</th>\n",
       "      <th>by_whom</th>\n",
       "      <th>country_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3000</td>\n",
       "      <td>Mombasa/Siaya</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>May-Jun 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>KEN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3000</td>\n",
       "      <td>Blan/Mch/Nkh/Nkh</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>May-Jun 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>MWI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3000</td>\n",
       "      <td>Capr/Kava/Ohang</td>\n",
       "      <td>Namibia</td>\n",
       "      <td>May-Jun 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>NAM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2000</td>\n",
       "      <td>Kigali</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>May-Jun 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>RWA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2000</td>\n",
       "      <td>Soroti</td>\n",
       "      <td>Uganda</td>\n",
       "      <td>May-Jun 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>UGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3000</td>\n",
       "      <td>Livingstone</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>May-Jun 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>ZMB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3000</td>\n",
       "      <td>Victoria Falls/Mount Darwin</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>May-Jun 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>ZWE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10000</td>\n",
       "      <td>Gatumba</td>\n",
       "      <td>Burundi</td>\n",
       "      <td>Mar 07</td>\n",
       "      <td>UNICEF</td>\n",
       "      <td>BDI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10450</td>\n",
       "      <td>Angola</td>\n",
       "      <td>Angola</td>\n",
       "      <td>Jan-Feb 07</td>\n",
       "      <td>UNICEF</td>\n",
       "      <td>AGO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8500</td>\n",
       "      <td>Mentawai</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>Jan-Feb 07</td>\n",
       "      <td>SurfAid</td>\n",
       "      <td>IDN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11000</td>\n",
       "      <td>Majunga</td>\n",
       "      <td>Madagascar</td>\n",
       "      <td>Dec 06-Jan 07</td>\n",
       "      <td>PSI</td>\n",
       "      <td>MDG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10000</td>\n",
       "      <td>Kibaale</td>\n",
       "      <td>Uganda</td>\n",
       "      <td>Oct-Dec 06</td>\n",
       "      <td>Malaria Consortium</td>\n",
       "      <td>UGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3700</td>\n",
       "      <td>Gai/Itivanzou</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>Nov-Dec 06</td>\n",
       "      <td>AMREF/Akamba</td>\n",
       "      <td>KEN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5700</td>\n",
       "      <td>6 villages, comp</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>Dec 06</td>\n",
       "      <td>PSI</td>\n",
       "      <td>KEN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4000</td>\n",
       "      <td>Malindi</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>Sep-Oct 06</td>\n",
       "      <td>BioVision</td>\n",
       "      <td>KEN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3000</td>\n",
       "      <td>Lokichogio</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>Sep-Oct 06</td>\n",
       "      <td>AMREF</td>\n",
       "      <td>KEN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5000</td>\n",
       "      <td>Luapula</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>Sep-Oct 06</td>\n",
       "      <td>PSI</td>\n",
       "      <td>ZMB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3500</td>\n",
       "      <td>Busia</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>Sep-Oct 06</td>\n",
       "      <td>AMREF</td>\n",
       "      <td>KEN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>10000</td>\n",
       "      <td>Batouri</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>Sep-Oct 06</td>\n",
       "      <td>PSI</td>\n",
       "      <td>CMR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3500</td>\n",
       "      <td>Caprivi</td>\n",
       "      <td>Namibia</td>\n",
       "      <td>Sep-Oct 06</td>\n",
       "      <td>PSI</td>\n",
       "      <td>NAM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3100</td>\n",
       "      <td>Kavango</td>\n",
       "      <td>Namibia</td>\n",
       "      <td>Sep-Oct 06</td>\n",
       "      <td>PSI</td>\n",
       "      <td>NAM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>3000</td>\n",
       "      <td>Ohangwena</td>\n",
       "      <td>Namibia</td>\n",
       "      <td>Sep-Oct 06</td>\n",
       "      <td>PSI</td>\n",
       "      <td>NAM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8000</td>\n",
       "      <td>W, SE, C Plat,Nippes</td>\n",
       "      <td>Haiti</td>\n",
       "      <td>Sep-Oct 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>HTI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>6000</td>\n",
       "      <td>Cau/Lem/Can</td>\n",
       "      <td>Sao Tome and Pr...</td>\n",
       "      <td>Oct 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>STP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>5000</td>\n",
       "      <td>Khartoum IDP camps</td>\n",
       "      <td>Sudan</td>\n",
       "      <td>Sep 06</td>\n",
       "      <td>Malaria Consortium</td>\n",
       "      <td>SDN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3000</td>\n",
       "      <td>Kasane/Kazungula</td>\n",
       "      <td>Botswana</td>\n",
       "      <td>May-Jun 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>BWA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>6000</td>\n",
       "      <td>Amh/Tig/Afar/Som</td>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>May-Jun 06</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>ETH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>10000</td>\n",
       "      <td>Bafut</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>Oct-Dec 07</td>\n",
       "      <td>PSI</td>\n",
       "      <td>CMR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>10000</td>\n",
       "      <td>Bukavu</td>\n",
       "      <td>Congo (Dem. Rep.)</td>\n",
       "      <td>Apr-Oct 07</td>\n",
       "      <td>Malteser Intl</td>\n",
       "      <td>COG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3500</td>\n",
       "      <td>RAAN</td>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>Sep-Oct 07</td>\n",
       "      <td>PCI</td>\n",
       "      <td>NIC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>22000</td>\n",
       "      <td>Yirimadjo</td>\n",
       "      <td>Mali</td>\n",
       "      <td>Jul-Sep 11</td>\n",
       "      <td>Project Muso</td>\n",
       "      <td>MLI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>20000</td>\n",
       "      <td>Dedza and Ntcheu Districts</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>Jul-Aug 11</td>\n",
       "      <td>Concern Universal</td>\n",
       "      <td>MWI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>3500</td>\n",
       "      <td>Pesside Nouveau and Kante, Keran</td>\n",
       "      <td>Togo</td>\n",
       "      <td>Jun-Jul 11</td>\n",
       "      <td>PeacePal</td>\n",
       "      <td>TGO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2500</td>\n",
       "      <td>Chepsire, Kapsabet, Nandi East d...</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>Jul 11</td>\n",
       "      <td>All For Children Inc</td>\n",
       "      <td>KEN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>7510</td>\n",
       "      <td>Hospitals Nationwide</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>Aug 10-Jun 11</td>\n",
       "      <td>Red Cross</td>\n",
       "      <td>TZA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>1200</td>\n",
       "      <td>Choggu-Sub</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>May-Jun 11</td>\n",
       "      <td>PeacePal</td>\n",
       "      <td>GHA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>1300</td>\n",
       "      <td>Mbarara</td>\n",
       "      <td>Uganda</td>\n",
       "      <td>Jan-Apr 11</td>\n",
       "      <td>Holy Innocents</td>\n",
       "      <td>UGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>300</td>\n",
       "      <td>Humjibre</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>Feb-Mar 11</td>\n",
       "      <td>GHEI</td>\n",
       "      <td>GHA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2830</td>\n",
       "      <td>Children's Homes/Schools, Wakiso...</td>\n",
       "      <td>Uganda</td>\n",
       "      <td>Mar 11</td>\n",
       "      <td>ACDT</td>\n",
       "      <td>UGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>20000</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>Haiti</td>\n",
       "      <td>Oct 10-Jan 11</td>\n",
       "      <td>Partners In Health</td>\n",
       "      <td>HTI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>1015000</td>\n",
       "      <td>Selected Provinces 2019</td>\n",
       "      <td>Yet to be made public</td>\n",
       "      <td>Jan-Dec 19</td>\n",
       "      <td>Yet to be made public</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>900000</td>\n",
       "      <td>Selected Provinces 2018</td>\n",
       "      <td>Yet to be made public</td>\n",
       "      <td>Jan-Dec 18</td>\n",
       "      <td>Yet to be made public</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>250000</td>\n",
       "      <td>Balaka District 2018</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>Oct-Nov 18</td>\n",
       "      <td>NMCP/Various</td>\n",
       "      <td>MWI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2500000</td>\n",
       "      <td>Various Districts 2018</td>\n",
       "      <td>Yet to be made public</td>\n",
       "      <td>Jul-Nov 18</td>\n",
       "      <td>Yet to be made public</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>365000</td>\n",
       "      <td>Ntcheu District 2018</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>Sep-Oct 18</td>\n",
       "      <td>NMCP/Various</td>\n",
       "      <td>MWI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>435000</td>\n",
       "      <td>Dowa District 2018</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>Aug-Sep 18</td>\n",
       "      <td>NMCP/Various</td>\n",
       "      <td>MWI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>3600000</td>\n",
       "      <td>Various Regions 2018</td>\n",
       "      <td>Yet to be made public</td>\n",
       "      <td>Jul-Sep 18</td>\n",
       "      <td>Yet to be made public</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>430000</td>\n",
       "      <td>Dedza District 2018</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>Jul-Aug 18</td>\n",
       "      <td>NMCP/Various</td>\n",
       "      <td>MWI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>1159400</td>\n",
       "      <td>Selected Provinces 2017</td>\n",
       "      <td>Papua New Guinea</td>\n",
       "      <td>Mar-Dec 17</td>\n",
       "      <td>Rotary Club of Port Moresby</td>\n",
       "      <td>PNG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>12752620</td>\n",
       "      <td>Western &amp; Eastern 2017</td>\n",
       "      <td>Uganda</td>\n",
       "      <td>Jan-Oct 17</td>\n",
       "      <td>NMCP/Various</td>\n",
       "      <td>UGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>3023550</td>\n",
       "      <td>C + E + NW + W Provinces 2017</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>Jul-Sep 17</td>\n",
       "      <td>NMCP/Various</td>\n",
       "      <td>ZMB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2413250</td>\n",
       "      <td>4 of Togo's 5 Regions 2017</td>\n",
       "      <td>Togo</td>\n",
       "      <td>Jul-Aug 17</td>\n",
       "      <td>NMCP/Various</td>\n",
       "      <td>TGO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>1093700</td>\n",
       "      <td>Northern Region 2016</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>Jun-Jul 16</td>\n",
       "      <td>NMCP/ERD</td>\n",
       "      <td>GHA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>437200</td>\n",
       "      <td>Upper West Region 2016</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>Jun-Jul 16</td>\n",
       "      <td>NMCP/ERD</td>\n",
       "      <td>GHA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>1158200</td>\n",
       "      <td>Greater Accra Region 2016</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>Jun-Jul 16</td>\n",
       "      <td>NMCP/ERD</td>\n",
       "      <td>GHA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>705468</td>\n",
       "      <td>Nord Ubangi 2015, Equatéur</td>\n",
       "      <td>Congo (Dem. Rep.)</td>\n",
       "      <td>Oct 15-Mar 16</td>\n",
       "      <td>IMA World Health/DFID</td>\n",
       "      <td>COG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>335000</td>\n",
       "      <td>Ntcheu District 2015</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>Oct-Dec 15</td>\n",
       "      <td>Concern Universal</td>\n",
       "      <td>MWI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>235000</td>\n",
       "      <td>Balaka District 2015</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>Nov-Dec 15</td>\n",
       "      <td>Concern Universal</td>\n",
       "      <td>MWI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>396900</td>\n",
       "      <td>Dowa District 2015</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>Mar-May 15</td>\n",
       "      <td>Concern Universal</td>\n",
       "      <td>MWI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>80000</td>\n",
       "      <td>Flood affected Districts, State ...</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>Feb-Mar 15</td>\n",
       "      <td>Concern Universal</td>\n",
       "      <td>MWI</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>167 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      #_llins                             location                country  \\\n",
       "0        3000                        Mombasa/Siaya                  Kenya   \n",
       "1        3000                     Blan/Mch/Nkh/Nkh                 Malawi   \n",
       "2        3000                      Capr/Kava/Ohang                Namibia   \n",
       "3        2000                               Kigali                 Rwanda   \n",
       "4        2000                               Soroti                 Uganda   \n",
       "5        3000                          Livingstone                 Zambia   \n",
       "6        3000          Victoria Falls/Mount Darwin               Zimbabwe   \n",
       "7       10000                              Gatumba                Burundi   \n",
       "8       10450                               Angola                 Angola   \n",
       "9        8500                             Mentawai              Indonesia   \n",
       "10      11000                              Majunga             Madagascar   \n",
       "11      10000                              Kibaale                 Uganda   \n",
       "12       3700                        Gai/Itivanzou                  Kenya   \n",
       "13       5700                     6 villages, comp                  Kenya   \n",
       "14       4000                              Malindi                  Kenya   \n",
       "15       3000                           Lokichogio                  Kenya   \n",
       "16       5000                              Luapula                 Zambia   \n",
       "17       3500                                Busia                  Kenya   \n",
       "18      10000                              Batouri               Cameroon   \n",
       "19       3500                              Caprivi                Namibia   \n",
       "20       3100                              Kavango                Namibia   \n",
       "21       3000                            Ohangwena                Namibia   \n",
       "22       8000                 W, SE, C Plat,Nippes                  Haiti   \n",
       "23       6000                          Cau/Lem/Can     Sao Tome and Pr...   \n",
       "24       5000                   Khartoum IDP camps                  Sudan   \n",
       "25       3000                     Kasane/Kazungula               Botswana   \n",
       "26       6000                     Amh/Tig/Afar/Som               Ethiopia   \n",
       "27      10000                                Bafut               Cameroon   \n",
       "28      10000                               Bukavu      Congo (Dem. Rep.)   \n",
       "29       3500                                 RAAN              Nicaragua   \n",
       "..        ...                                  ...                    ...   \n",
       "137     22000                            Yirimadjo                   Mali   \n",
       "138     20000           Dedza and Ntcheu Districts                 Malawi   \n",
       "139      3500     Pesside Nouveau and Kante, Keran                   Togo   \n",
       "140      2500  Chepsire, Kapsabet, Nandi East d...                  Kenya   \n",
       "141      7510                 Hospitals Nationwide               Tanzania   \n",
       "142      1200                           Choggu-Sub                  Ghana   \n",
       "143      1300                              Mbarara                 Uganda   \n",
       "144       300                             Humjibre                  Ghana   \n",
       "145      2830  Children's Homes/Schools, Wakiso...                 Uganda   \n",
       "146     20000                       Port-au-Prince                  Haiti   \n",
       "147   1015000              Selected Provinces 2019  Yet to be made public   \n",
       "148    900000              Selected Provinces 2018  Yet to be made public   \n",
       "149    250000                 Balaka District 2018                 Malawi   \n",
       "150   2500000               Various Districts 2018  Yet to be made public   \n",
       "151    365000                 Ntcheu District 2018                 Malawi   \n",
       "152    435000                   Dowa District 2018                 Malawi   \n",
       "153   3600000                 Various Regions 2018  Yet to be made public   \n",
       "154    430000                  Dedza District 2018                 Malawi   \n",
       "155   1159400              Selected Provinces 2017       Papua New Guinea   \n",
       "156  12752620               Western & Eastern 2017                 Uganda   \n",
       "157   3023550        C + E + NW + W Provinces 2017                 Zambia   \n",
       "158   2413250           4 of Togo's 5 Regions 2017                   Togo   \n",
       "159   1093700                 Northern Region 2016                  Ghana   \n",
       "160    437200               Upper West Region 2016                  Ghana   \n",
       "161   1158200            Greater Accra Region 2016                  Ghana   \n",
       "162    705468           Nord Ubangi 2015, Equatéur      Congo (Dem. Rep.)   \n",
       "163    335000                 Ntcheu District 2015                 Malawi   \n",
       "164    235000                 Balaka District 2015                 Malawi   \n",
       "165    396900                   Dowa District 2015                 Malawi   \n",
       "166     80000  Flood affected Districts, State ...                 Malawi   \n",
       "\n",
       "              when                      by_whom country_code  \n",
       "0       May-Jun 06                    Red Cross          KEN  \n",
       "1       May-Jun 06                    Red Cross          MWI  \n",
       "2       May-Jun 06                    Red Cross          NAM  \n",
       "3       May-Jun 06                    Red Cross          RWA  \n",
       "4       May-Jun 06                    Red Cross          UGA  \n",
       "5       May-Jun 06                    Red Cross          ZMB  \n",
       "6       May-Jun 06                    Red Cross          ZWE  \n",
       "7           Mar 07                       UNICEF          BDI  \n",
       "8       Jan-Feb 07                       UNICEF          AGO  \n",
       "9       Jan-Feb 07                      SurfAid          IDN  \n",
       "10   Dec 06-Jan 07                          PSI          MDG  \n",
       "11      Oct-Dec 06           Malaria Consortium          UGA  \n",
       "12      Nov-Dec 06                 AMREF/Akamba          KEN  \n",
       "13          Dec 06                          PSI          KEN  \n",
       "14      Sep-Oct 06                    BioVision          KEN  \n",
       "15      Sep-Oct 06                        AMREF          KEN  \n",
       "16      Sep-Oct 06                          PSI          ZMB  \n",
       "17      Sep-Oct 06                        AMREF          KEN  \n",
       "18      Sep-Oct 06                          PSI          CMR  \n",
       "19      Sep-Oct 06                          PSI          NAM  \n",
       "20      Sep-Oct 06                          PSI          NAM  \n",
       "21      Sep-Oct 06                          PSI          NAM  \n",
       "22      Sep-Oct 06                    Red Cross          HTI  \n",
       "23          Oct 06                    Red Cross          STP  \n",
       "24          Sep 06           Malaria Consortium          SDN  \n",
       "25      May-Jun 06                    Red Cross          BWA  \n",
       "26      May-Jun 06                    Red Cross          ETH  \n",
       "27      Oct-Dec 07                          PSI          CMR  \n",
       "28      Apr-Oct 07                Malteser Intl          COG  \n",
       "29      Sep-Oct 07                          PCI          NIC  \n",
       "..             ...                          ...          ...  \n",
       "137     Jul-Sep 11                 Project Muso          MLI  \n",
       "138     Jul-Aug 11            Concern Universal          MWI  \n",
       "139     Jun-Jul 11                     PeacePal          TGO  \n",
       "140         Jul 11         All For Children Inc          KEN  \n",
       "141  Aug 10-Jun 11                    Red Cross          TZA  \n",
       "142     May-Jun 11                     PeacePal          GHA  \n",
       "143     Jan-Apr 11               Holy Innocents          UGA  \n",
       "144     Feb-Mar 11                         GHEI          GHA  \n",
       "145         Mar 11                         ACDT          UGA  \n",
       "146  Oct 10-Jan 11           Partners In Health          HTI  \n",
       "147     Jan-Dec 19        Yet to be made public          NaN  \n",
       "148     Jan-Dec 18        Yet to be made public          NaN  \n",
       "149     Oct-Nov 18                 NMCP/Various          MWI  \n",
       "150     Jul-Nov 18        Yet to be made public          NaN  \n",
       "151     Sep-Oct 18                 NMCP/Various          MWI  \n",
       "152     Aug-Sep 18                 NMCP/Various          MWI  \n",
       "153     Jul-Sep 18        Yet to be made public          NaN  \n",
       "154     Jul-Aug 18                 NMCP/Various          MWI  \n",
       "155     Mar-Dec 17  Rotary Club of Port Moresby          PNG  \n",
       "156     Jan-Oct 17                 NMCP/Various          UGA  \n",
       "157     Jul-Sep 17                 NMCP/Various          ZMB  \n",
       "158     Jul-Aug 17                 NMCP/Various          TGO  \n",
       "159     Jun-Jul 16                     NMCP/ERD          GHA  \n",
       "160     Jun-Jul 16                     NMCP/ERD          GHA  \n",
       "161     Jun-Jul 16                     NMCP/ERD          GHA  \n",
       "162  Oct 15-Mar 16        IMA World Health/DFID          COG  \n",
       "163     Oct-Dec 15            Concern Universal          MWI  \n",
       "164     Nov-Dec 15            Concern Universal          MWI  \n",
       "165     Mar-May 15            Concern Universal          MWI  \n",
       "166     Feb-Mar 15            Concern Universal          MWI  \n",
       "\n",
       "[167 rows x 6 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_amf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GHO (CODE)</th>\n",
       "      <th>GHO (DISPLAY)</th>\n",
       "      <th>GHO (URL)</th>\n",
       "      <th>PUBLISHSTATE (CODE)</th>\n",
       "      <th>PUBLISHSTATE (DISPLAY)</th>\n",
       "      <th>PUBLISHSTATE (URL)</th>\n",
       "      <th>YEAR (CODE)</th>\n",
       "      <th>YEAR (DISPLAY)</th>\n",
       "      <th>YEAR (URL)</th>\n",
       "      <th>REGION (CODE)</th>\n",
       "      <th>REGION (DISPLAY)</th>\n",
       "      <th>REGION (URL)</th>\n",
       "      <th>COUNTRY (CODE)</th>\n",
       "      <th>COUNTRY (DISPLAY)</th>\n",
       "      <th>COUNTRY (URL)</th>\n",
       "      <th>Display Value</th>\n",
       "      <th>Numeric</th>\n",
       "      <th>Low</th>\n",
       "      <th>High</th>\n",
       "      <th>Comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MALARIA002</td>\n",
       "      <td>Estimated number of malaria cases</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AMR</td>\n",
       "      <td>Americas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CRI</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;10</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MALARIA002</td>\n",
       "      <td>Estimated number of malaria cases</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AMR</td>\n",
       "      <td>Americas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SLV</td>\n",
       "      <td>El Salvador</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MALARIA002</td>\n",
       "      <td>Estimated number of malaria cases</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EUR</td>\n",
       "      <td>Europe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TJK</td>\n",
       "      <td>Tajikistan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;10</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MALARIA002</td>\n",
       "      <td>Estimated number of malaria cases</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DZA</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;50</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MALARIA002</td>\n",
       "      <td>Estimated number of malaria cases</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SEAR</td>\n",
       "      <td>South-East Asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BTN</td>\n",
       "      <td>Bhutan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;50</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GHO (CODE)                      GHO (DISPLAY)  \\\n",
       "0  MALARIA002  Estimated number of malaria cases   \n",
       "1  MALARIA002  Estimated number of malaria cases   \n",
       "2  MALARIA002  Estimated number of malaria cases   \n",
       "3  MALARIA002  Estimated number of malaria cases   \n",
       "4  MALARIA002  Estimated number of malaria cases   \n",
       "\n",
       "                                           GHO (URL) PUBLISHSTATE (CODE)  \\\n",
       "0  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "1  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "2  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "3  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "4  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "\n",
       "  PUBLISHSTATE (DISPLAY)  PUBLISHSTATE (URL)  YEAR (CODE)  YEAR (DISPLAY)  \\\n",
       "0              Published                 NaN         2013            2013   \n",
       "1              Published                 NaN         2013            2013   \n",
       "2              Published                 NaN         2013            2013   \n",
       "3              Published                 NaN         2013            2013   \n",
       "4              Published                 NaN         2013            2013   \n",
       "\n",
       "   YEAR (URL) REGION (CODE) REGION (DISPLAY)  REGION (URL) COUNTRY (CODE)  \\\n",
       "0         NaN           AMR         Americas           NaN            CRI   \n",
       "1         NaN           AMR         Americas           NaN            SLV   \n",
       "2         NaN           EUR           Europe           NaN            TJK   \n",
       "3         NaN           AFR           Africa           NaN            DZA   \n",
       "4         NaN          SEAR  South-East Asia           NaN            BTN   \n",
       "\n",
       "  COUNTRY (DISPLAY)  COUNTRY (URL) Display Value  Numeric  Low  High  Comments  \n",
       "0        Costa Rica            NaN           <10      2.0  NaN   NaN       NaN  \n",
       "1       El Salvador            NaN           <10      7.0  NaN   NaN       NaN  \n",
       "2        Tajikistan            NaN           <10      8.0  NaN   NaN       NaN  \n",
       "3           Algeria            NaN           <50     25.0  NaN   NaN       NaN  \n",
       "4            Bhutan            NaN           <50     25.0  NaN   NaN       NaN  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_estimate_cases.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 416 entries, 0 to 415\n",
      "Data columns (total 20 columns):\n",
      "GHO (CODE)                416 non-null object\n",
      "GHO (DISPLAY)             416 non-null object\n",
      "GHO (URL)                 416 non-null object\n",
      "PUBLISHSTATE (CODE)       416 non-null object\n",
      "PUBLISHSTATE (DISPLAY)    416 non-null object\n",
      "PUBLISHSTATE (URL)        0 non-null float64\n",
      "YEAR (CODE)               416 non-null int64\n",
      "YEAR (DISPLAY)            416 non-null int64\n",
      "YEAR (URL)                0 non-null float64\n",
      "REGION (CODE)             416 non-null object\n",
      "REGION (DISPLAY)          416 non-null object\n",
      "REGION (URL)              0 non-null float64\n",
      "COUNTRY (CODE)            416 non-null object\n",
      "COUNTRY (DISPLAY)         416 non-null object\n",
      "COUNTRY (URL)             0 non-null float64\n",
      "Display Value             416 non-null object\n",
      "Numeric                   404 non-null float64\n",
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      "High                      396 non-null float64\n",
      "Comments                  0 non-null float64\n",
      "dtypes: float64(8), int64(2), object(10)\n",
      "memory usage: 65.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df_estimated_deaths.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>MALARIA003</td>\n",
       "      <td>Estimated number of malaria deaths</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
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       "      <td>MALARIA003</td>\n",
       "      <td>Estimated number of malaria deaths</td>\n",
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       "      <td>2005</td>\n",
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       "      <td>EMR</td>\n",
       "      <td>Eastern Mediterranean</td>\n",
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       "      <td>AFG</td>\n",
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       "      <td>380 [130-770]</td>\n",
       "      <td>380.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MALARIA003</td>\n",
       "      <td>Estimated number of malaria deaths</td>\n",
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       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010</td>\n",
       "      <td>2010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EMR</td>\n",
       "      <td>Eastern Mediterranean</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>260 [79-510]</td>\n",
       "      <td>260.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>510.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MALARIA003</td>\n",
       "      <td>Estimated number of malaria deaths</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
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       "      <td>2013</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>EMR</td>\n",
       "      <td>Eastern Mediterranean</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFG</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>120 [46-210]</td>\n",
       "      <td>120.0</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MALARIA003</td>\n",
       "      <td>Estimated number of malaria deaths</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22 000 [17 000-28 000]</td>\n",
       "      <td>22000.0</td>\n",
       "      <td>17000.0</td>\n",
       "      <td>28000.0</td>\n",
       "      <td>NaN</td>\n",
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      "text/plain": [
       "   GHO (CODE)                       GHO (DISPLAY)  \\\n",
       "0  MALARIA003  Estimated number of malaria deaths   \n",
       "1  MALARIA003  Estimated number of malaria deaths   \n",
       "2  MALARIA003  Estimated number of malaria deaths   \n",
       "3  MALARIA003  Estimated number of malaria deaths   \n",
       "4  MALARIA003  Estimated number of malaria deaths   \n",
       "\n",
       "                                           GHO (URL) PUBLISHSTATE (CODE)  \\\n",
       "0  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "1  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "2  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "3  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "4  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "\n",
       "  PUBLISHSTATE (DISPLAY)  PUBLISHSTATE (URL)  YEAR (CODE)  YEAR (DISPLAY)  \\\n",
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       "4              Published                 NaN         2000            2000   \n",
       "\n",
       "   YEAR (URL) REGION (CODE)       REGION (DISPLAY)  REGION (URL)  \\\n",
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       "1         NaN           EMR  Eastern Mediterranean           NaN   \n",
       "2         NaN           EMR  Eastern Mediterranean           NaN   \n",
       "3         NaN           EMR  Eastern Mediterranean           NaN   \n",
       "4         NaN           AFR                 Africa           NaN   \n",
       "\n",
       "  COUNTRY (CODE) COUNTRY (DISPLAY)  COUNTRY (URL)           Display Value  \\\n",
       "0            AFG       Afghanistan            NaN         720 [250-1 500]   \n",
       "1            AFG       Afghanistan            NaN           380 [130-770]   \n",
       "2            AFG       Afghanistan            NaN            260 [79-510]   \n",
       "3            AFG       Afghanistan            NaN            120 [46-210]   \n",
       "4            AGO            Angola            NaN  22 000 [17 000-28 000]   \n",
       "\n",
       "   Numeric      Low     High  Comments  \n",
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       "1    380.0    130.0    770.0       NaN  \n",
       "2    260.0     79.0    510.0       NaN  \n",
       "3    120.0     46.0    210.0       NaN  \n",
       "4  22000.0  17000.0  28000.0       NaN  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
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    }
   ],
   "source": [
    "df_estimated_deaths.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6180 entries, 0 to 6179\n",
      "Data columns (total 20 columns):\n",
      "GHO (CODE)                6180 non-null object\n",
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      "GHO (URL)                 6180 non-null object\n",
      "PUBLISHSTATE (CODE)       6180 non-null object\n",
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      "REGION (CODE)             6180 non-null object\n",
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      "High                      0 non-null float64\n",
      "Comments                  0 non-null float64\n",
      "dtypes: float64(8), int64(2), object(10)\n",
      "memory usage: 965.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df_insecticide_resistance.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>IR_PYRETHROID_PRESENCE</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>Published</td>\n",
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       "      <td>2012</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BEN</td>\n",
       "      <td>Benin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IR_PYRETHROID_PRESENCE</td>\n",
       "      <td>Pyrethroid resistance reported for at least on...</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2011</td>\n",
       "      <td>2011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GHA</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IR_PYRETHROID_PRESENCE</td>\n",
       "      <td>Pyrethroid resistance reported for at least on...</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KEN</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IR_PYRETHROID_PRESENCE</td>\n",
       "      <td>Pyrethroid resistance reported for at least on...</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TGO</td>\n",
       "      <td>Togo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</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": [
       "               GHO (CODE)                                      GHO (DISPLAY)  \\\n",
       "0  IR_PYRETHROID_PRESENCE  Pyrethroid resistance reported for at least on...   \n",
       "1  IR_PYRETHROID_PRESENCE  Pyrethroid resistance reported for at least on...   \n",
       "2  IR_PYRETHROID_PRESENCE  Pyrethroid resistance reported for at least on...   \n",
       "3  IR_PYRETHROID_PRESENCE  Pyrethroid resistance reported for at least on...   \n",
       "4  IR_PYRETHROID_PRESENCE  Pyrethroid resistance reported for at least on...   \n",
       "\n",
       "                                           GHO (URL) PUBLISHSTATE (CODE)  \\\n",
       "0  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "1  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "2  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "3  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "4  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "\n",
       "  PUBLISHSTATE (DISPLAY)  PUBLISHSTATE (URL)  YEAR (CODE)  YEAR (DISPLAY)  \\\n",
       "0              Published                 NaN         2012            2012   \n",
       "1              Published                 NaN         2012            2012   \n",
       "2              Published                 NaN         2011            2011   \n",
       "3              Published                 NaN         2009            2009   \n",
       "4              Published                 NaN         2009            2009   \n",
       "\n",
       "   YEAR (URL) REGION (CODE) REGION (DISPLAY)  REGION (URL) COUNTRY (CODE)  \\\n",
       "0         NaN          SEAR  South-East Asia           NaN            BGD   \n",
       "1         NaN           AFR           Africa           NaN            BEN   \n",
       "2         NaN           AFR           Africa           NaN            GHA   \n",
       "3         NaN           AFR           Africa           NaN            KEN   \n",
       "4         NaN           AFR           Africa           NaN            TGO   \n",
       "\n",
       "  COUNTRY (DISPLAY)  COUNTRY (URL) Display Value  Numeric  Low  High  Comments  \n",
       "0        Bangladesh            NaN           Yes      NaN  NaN   NaN       NaN  \n",
       "1             Benin            NaN           Yes      NaN  NaN   NaN       NaN  \n",
       "2             Ghana            NaN           Yes      NaN  NaN   NaN       NaN  \n",
       "3             Kenya            NaN           Yes      NaN  NaN   NaN       NaN  \n",
       "4              Togo            NaN           Yes      NaN  NaN   NaN       NaN  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_insecticide_resistance.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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6JYeVGInRAhUlqRGsJPIc0M/vv/9ON910k1i6dGlbR0fHzU1NTQ8IIVr0LhcA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\nbrValwWDwbflUED5zOw5AQBtD0EFAJAXDgeWi61W6498Pt+ISCTSr3v37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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a19abbe80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.basemap import Basemap\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(20,20))\n",
    "\n",
    "map = Basemap(projection='ortho', \n",
    "              lat_0=0, lon_0=0)\n",
    "\n",
    "map.drawlsmask(land_color = \"white\", \n",
    "               ocean_color=\"#7777ff\",\n",
    "               resolution = 'l')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bA9LTGRURAXFxZGdnk5eXR2ZmJuvWrSMzMxOdTkdUVBQjRoxAp9OpHXmtff75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01efPFFXnvtNUsp9tLCVZLSWyJorGH1DGzMyWHLnXdywx130Lx5c959911q167N4MGDCQ+348W5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NOClEogAcC1a9eQk5OD55577mmfSskh1Lc5c6ZoKWsGflEBnY7G0p9+KpfTLBZl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\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ICODll1/mwQcfdOyVdDUKz2s0cjuwPSyMZcuW8fXXX7N//34Adu7cSVxcHO+8847yF3FE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xdegGnTRECg19vv72Dhd8OqVcZMHlsCbcULx8tL7F8tjJqd7jPhyADRWvCamSmOobpLhZxRsmRv\nEBsdLbKr9u4V31etMgp5Ff0tXK0Uq4q4fPky7u7+xd8jIm5l9+5pNGp0PynBOr7vtY6olAS6XfqL\n8W+uYdCkSaiVe8qZVEZUS0gQ15EVU3anUd51V5YgVd1ld8r58vIS3/38RJbNtWuwebMwQTZFr4c/\n/zSbpOTehAJn3X3N5l0MjQaDATcKzaa75ecSnpIgRRxJjUWKOBKJRCKRSFwONzctTz55iE8/vZuT\nq1oRlZAAMTEQG4vXsWNEurlRKyQEP73e2BFo1SoIDQVvb6MnDggTZFsCFEWE0RT9eWSayVNaoG0a\nIPn4wOnTRgHnrbegVi2X9SQpgbNKhRyFM8ZhbxCr08GwYbBkCURFieulsqJLacdVXjZIDe8aVqdO\nHfT6ZDIzL+HjE4Za7YanZy2uXz9FQECDYkG3abN+fH/oY/744w86dOhg3ICzjr8yolp0tCihUqnE\nNhYvrt7fxhZBqjrL7izP15IlItOva1fxHLWBhkAOEADkXP+3xHy3wtySK6lVQuCRSGooUsSRSCQS\niUTikoSEtKBL/a60GD6cLC8vWLECNm5E27Ytsxs0YMapUxAWJkoXzp0z93Zo105sxJ436kpAcemS\n+G6aQWMt0J41C+bMESbGtWqJLKD69cVb5ZwcMe2RR5x5ihxLacGro97WVzbodlbWgL1BbI8ewoso\nLc0xYpK14yov+P4PlGDVq1ePW2+9ldOnd9K8+QAA2rd/nh9/nErXrm8VL5eTk0pa2mnc3d2NKzvz\n+CsjFlZ3Zoslrp7lZe18bdoksphs4CSQBKwv+p4c3NJsfnhKAgaVGgOgMptj/k0iqWlIEUcikUgk\nEonLMtorhDjgsJcXLbKzYft2WLgQpk9H9fLLQiz5+GNR4gLC9DIvT2TF2BvA6HSifMqKJ06JYGPX\nLihqawvAlSuwdq0QgfLznVtC5SzKCl4r+7ZeKVVTOsyYGE7bhbVxODIjw5ZtVTZQt7YPy+Mq79p1\nZHBejRk93bt3Z8WKz4tFHI3GEy+vYPLzs9BqvQG4dk1kVzRr1sy4ojPFCUcYkLuKUOIqWXRlYXm+\noqMhJASuXi131aSizweBHI032++ebTb/Ymg0WV7BBGScB4ymySp9gSynktRopIgjkUgkEonEZbnU\n+AGe+HMl869fZ42npyipSkzEMGuWEGxyc6FNG5GO37278FFQDHinTzcGMAUFIlsnMbF8Iaes4F3J\nklixouT8kyfh559d5y28vTgziyA+XngNaTSQnGw0BK4sjszIsGdbFQ3US9uHpZBSXvDtqODcUeJa\nBRk5ciRvvfUWvXr9zNatdwBQt+7tnD37Ezfd1B2Aq1f/4bbbbsPDw8O4orPFCVcSYiqDq2UGWcPy\n2tfp4MsvhVi/dq0Q6kthHzAIcEfF9lsnlRBlUoJ1HGr6EKEm3akACt3cZTmVpEYjRRyJRCKRSCQu\nyz+NYgm5Ywabf1+EYcPHqGJjYdMm8tPS0CrGoQcPij/8a9cGX1/j2/nMTBHAxMcLv5yPPxZlMBUN\n9JXOVatWQWpqyfmmBrc1lZo2fkdmZFRF6YnlPuLjjdeUm5u5sFNW8O2o4NxZ4pqN+Pj4sHjxYoYP\nH84DDxxEq/UiMvJOfvppVrGIc/Dg+7z++ijzFWuCOOEquPI9XZqoqdMJobxPH3j6aXGvWNAF+AHY\n5F2bK+6+pIS0KLHMLQeWE/PzLFQmWTiFqIi/5w2ZhSOp0VSBxbtEIpFIJBJJxanTrB9Zajf+ys8X\nE6Kjyc/LQ6vXC9EmLEyYzfboUfLtvE4nAmY3N/GZn280QjYlMVF4MSQmWh+EEmwsWSKC3kaNhP9N\nUJAYw8CBsG6d/du9UejRAxo3huBg8dmjh2O268iMjKooPVH2kZQEly/DsmXGayogwPz61OmEp1JZ\n2UBlza8hPPLIIzRr1gw/v/kAqNUaVCoVublpAKSnnzPPwlGXIVEcAAAgAElEQVT4jxz/DY2pqGnt\n2RwbCzt2CJP64GAh1Lu7Q1gYe1TC1+ZW3wiyvEKsZtY0P77VTMABOB/egb1tRzrtkCSSqkBm4kgk\nEolEInFZQq8kEvHFQ6RlXebEpEm0LnpLWzBvHprRo4WA4+dnzIKx9na+vODc1vbheXmiI9GlSyLo\n9vISQXhsrPXBV7f5rCt1L1L8hpxhSuyojIyqyO7Q6USZ37hxwsfp7Flo2VJcU4pRd1X6ljRtKjq6\nFRYKI25HiWt2snz5ctq1a0fPng8RFtaK1q2fIiFhFR06jKVv3808+2x3IiMjuf3226tlfBIn4eMD\nGRlC1CzNR0yng8mTxfMsP18IOcOGEfv112SlNufHendzMTTaambNkca9aJYUVyzkGIDfWz3p5IOS\nSJyPFHEkEolEIpG4LOEpCXyQcZ7+dSN4QDEr1unI79IF7ciR0Lq1dYNYJQPGx0eUVU2fLj6tBedK\na3EvL/O24qYoQlBaGkRGCp8GjUZ47zRsaD3gd1R5TkXEmOoWkKzhrLIOR263vG05QhjLzDSW/e3d\nKzJyGjc2ZpNV1e+UmCiuX29vERzPnVtt10idOnUIDg4mJWUqYWFb8fevT2bmRQBq127Lbbe9w4sv\nvsjPP/9cLeOTOAHl+tNoxHNq+nSbzcRnrl/Plh3fM3bsJhI8g4oXC72SSHhKQrGoo2Tc3PbHuxgM\n8Gv752QWjuQ/gRRxJBKJRCKRuCwXQ6M5XpjLEv+6uHt4FL+pzc/PRxsZab2FtyJgpKXB6dOi7Mnf\nv3Qhw8dHLKfXg1otvltiGkScOyf8dcoTZxxRnlMRMUYxXk5LM7Zcd7XWwjURRwljpoJgdYg3CorI\nqFwjmZlVt29TMaxoLLnp6fz7bxAti7pE+/jUITMzGR+f2jRr1o/33nuOpKQkGjZsWHXjrEm4Uuad\nLdh7/ZkIrLNmzSIiohOeFgLOw98MxU2fR6Hanc/vX10s5EjhRvJfQ4o4EolEIpFIXJaUYB0RTfrw\nxNXj9IxugGbsWFQqFdmRkTw4fLj1lZTMmpwcUSbi5WX0W9i1C7ZuhV69YGTRH/aZmULo8fIS65QW\nTJhm+axfX74444jyHHuzeRIT4cEHISUFsrNF166a2O68KlGCXyVrq7TfylGZVa5iymvqz5OXZ128\nLIuKigamYlhhoZjm5kZBcjIR/ka7zlq1mpGaegwfn9q4uWlp23Y006ZN49NPP7VvnDcCju7SVhXX\nZgVF7suXL+PtHUrPnh8VTwu9ksgtB1fQIDCNI3mN8Ms4L1uIS/7TSBFHIpFIJBKJS9Opx0o+eP8m\nZv52md4pKWJi48bwwgvWV1Aya/Lzxb+UFIiIgMOHyZ01C3eDAdW334plR46E6GhyfX05nZmJh7s7\n9csLJuwJwitb6mNLoBMXB9u3i/bru3cLvx4QmUU+PmWXKdxoWAao9mRtOdL4uCo7BpUWlJv682i1\nZZcGWttmRUUDUzHs4EHIy+N8o0aczM3l6ZCWpBUtdurUDu64Y3rxarfc8iIffliXtLQ0/P39bT36\nG4OKCIzW7oXSOqU5gwqKmfPnz6dJkz6EhDQHjBk4wVf+gbxrNHI7wTX/KNlCXPKfRoo4EolEIpFI\nXBoPDz/GdRjDoJ9mslzjyWOebnDxotV2yMeOHePjDz8ErZbc3FxCVSrSrl5Ff9ttXFu1ijoGA9lq\nNbl6PT5vvVXcutbjjjuoV1DAKbWazDVr0Gq15OTk4OnpSVBQECEhIVy+fBk/Pz/q1KnDnj170Gg0\n8Pffdh+PwWBAVdRZxRoqlQqDwUBaWhqBgYFob7uNJ1u0oPZdd5UMdOLioH9/IdisWAGdOoHBIMrC\nAI4cgSlTbA/O/8tYCg/TpwvxS/FD0uvNs7ac1da7KilPbDH157Enu8gWH6nSUMSwI0cgOZmN+YVM\nuZTCC961cW/0AAAHD67kppvuw93dt3g1rdYbd3d3kpOTpYhjSXkCo6nQGxtb8roYNgxef12YDGdl\niedIWlrFss3syeSpgJi5YMECHn30++Lv4SkJBF/5B9+8awBoC/MITj1OrWtJMhNH8p9FijgSiUQi\nkUhcnkBdf+b/+SED008zNQPeysmh6wcfcKh2bep06sS2bds4ffo0devWZcq0aXj/9Rfk5oKHB0RE\nUPjQQ3DPPbg995xR5Jg40VhSVQoGg4ErV65w7do1/P39ycjI4Pz588yaNUuIOJY4sBQhLS0NjUbD\n+fPnWbB8OW8+/XTJhbZvF+KDn58Ipv38RGCdmyvmFxaKzBwrgtcNh5KtEBAgzsmoUcasrfBwcU3k\n5JRdfmYt6HRlL5KyMjQSE4W/U2Gh/dlFtvhIlYaSATRkCIb8fAYAa1BTL3oY20Kak519laysZNq0\nEde7Xl/IxYv72b79eRo1akS9evXsOwc3AmUJjJZC78aNQrxTroukJJg2Da5cEeWXer24P+rWtT/b\nLDERBgwQApC/v+hIZ3q9VfI+ycjIAMDXN6J4Wp7WB+8iAUdBjZ6Of67kn0aldA6USGo4UsSRSCQS\niUTi8qQE62h23zJu/bwXv6HnoYICOHQIBg7E19eXw4cPU6tWLXyUYHLJEmOZiJ8fbq1bi8BBrS7p\niVMGKpWKkJAQQkJCAAgLCyvdWNXBHaGUbIOoqChSU1OtLxQTIwKz9HRxbE8/Lf698Qb88os4/oKC\n0ndiraSivEDLlUWLsoiOFoLF3r3inKjVIuNApYL77hPnsixPHEsqUn5S1eeutAwN02sVYPBg+8yV\nbfWRKmt9NzcMgBboh569RbOuXDlCeHhHQIio33zzBIcPf8qUKVOYM2dOmVlsNzSlZbVYCr3bt8OI\nEcbrIi9PCNsgPrVa6NZNtPW29xqNjxcCkEYDly4ZxeOyxB07+Oyzz2jU6AGCg5sVT4s6sxvTK0L5\nb/fcdLu3L5HUFKSII5FIJBKJxOUxGAwM//x+q/N+/fXXkm/nY2NFCZFlwDxypE3iTYVwlPGtBRqN\nhn379nH27FkiIyPNZ8bGijfrpqUSCqNGiWDZ3V0E25ZYKy+aPbtsEaoqWpc7S+jQ6UTZyNtvQ2io\nKIU7dQrCwkRQWxFz3rNnhedSmzYly7BK89+pyrbvpWVoWF6rdevaN5boaBGM5+dXzDg7Oho8PVGr\nVAQaDExTq7nTsxYAvr51OHVqJwCpqcc5efI7srKy8LJ2DUvKx1LojYkxXhfx8XD4sOi2ZzAIQbNu\n3YoJOGURHw9Hj4rtl1IKawuZmZlkZ/9hVpIaeiXR6rK1rp0g9EqiLKmS/CdRl7+IRCKRSCQSSfVS\nWJhXYtrYhg0xGAy0VHoSW6LTiRbkVZUt4kjjWwv+97//8erEiZx87z0hBpgSGwsLFxoFnMREIcYY\nDHD1qnj7PXGiKKswxTSQz88XYtClS6LcSBEkLLFcx9oylUEROubOFZ+Wx1pZevQQok1Bwf+zd97h\nTZXtH/8k6R6UUlrKLFBGFIqKiCIgW6C+IAoCvoKI/NwDBH0BXwSpCqI4ECcOBJXpAMRaeUHFAaLg\nKkhYZa+WFuikM78/HtKmadImaZKm5f5cF1ea5OQ8zznnObm4v7nv763MsR991DkxxeQJk5mpzsOf\nf6p9Wma6mI4jMbGs7bu7zp0trN0H1V2rJhFg2jTnzp9eD2++Cc2b811UFF/7+rL0QjoA9eu35tw5\nZc5dUJBJQEC4CDjVwST03n+/ejR9T6SkwBtvwNq1qvzS11eJPAMGOP+dOWiQuq8iItTjoEHq9X/+\nUWOY/p0+7dTu77vvPk6cOMGSJV1KX4tKU/eR0WLbhpmHGL12lE2RRxBqM5KJIwiCIAiC1+Pj40+P\nlgO4cGgj23x90Pr4wMKFNT2t8rjR+LbR2bM8+uuvfPf114xv0gTWrFFvWBvLJLSYPHv8/NRz8wAO\nygfyRUWq/Or0afWvTRvrgb0bhapyc3dxNlMp5hkITgaSgDruwkJ13kJClPA1frx6b/Vq5TVj7jky\ncaI6X0eOeEfbd1es1ep22IqPh2++oUNyMm/l5jLkoYdo3W06/v5haLV+APj6hpCbe8b5MQRFfHz5\ne99gUOWmx4+XZeCYyi6/+Ua970w5pV6vSqXM309MhC++KCvZ8vODRo2cOozAwECmTJnC229/Uvpa\naE7ZfWyEcqVVTf3SpdW4UCcREUcQBEEQhFrBdSO+4osPOjE5OJpX336ifFDiLbirdfSSJZw7dIgo\njUaVJcycCdu2KY+XiIjyHhPBwarLzIUL6nl2tgrSNm8uH5yZB/LHj6uSiq5dVYnR+PHWj8PdHZrc\nLRKZWLy4rBX74sWOe3To9RV8l2jXrqxcqrhYbXfihBJ7fH0hNrbMf8fR8i134Mk251XMoQ/Q4c03\n6dv3B37+eQg+Pv7k52ehwnIjQ4Z8zJdfjqnZudYlkpOVyOvvr74fTAKLRqP+Nomn9pQEmvZn2sZ8\nXZnEouxsleWj0ykBx5Sh4wQ6nY6YmH6lzw+06EWHlK9Kn5sycjQAqakE5mU4PZYgeCsi4giCIAiC\nUCvQ6XzpNexT3l3Rl+f79iWgpifkSU6eZDfQzNQ9Zs2aMnPe9PTyBqIJCZCXp7xaAgNVy2A/v/JG\noyZMAZfBACtWqHKfqKjKgyx3Bv/mmTLuIjlZ+YOYMpUsW2Tb68lj6btkmUU0dqz6OzhYXZMTJ5TY\n4w0CTk1jMoWGUkPle++9l/nz59Ot2xA6dBjD77+/Trdu0xk9ehOrVg1k//7raNOmTc3Ou65g8jQ6\nd079M2E0Ks+a4GDrgo3lGk9KUt8btnyeTGKRTqcEopAQeOutaq3/AwcOcOroNq7/9RU0Gg3f9J1P\ni2NbCC2wYv5eWEjfn2dzsEUvycYR6hQi4giCIAiCUGuIjOxAdHQXhg37iKQkKy236yojR3Lm44+J\nMWV4FBaqx5ISJeaYSoNMXi0ZGSobxFQioa3CBtHdGTaOYgoMV6xwvQFwXJwSU0znzLy0yVHzYXOj\n4IwMlXGQkqL2ad7tyZrJ9qWKwQCDBytTaJ2uNBNq9OjRPPnkk+j1BwgPjyU0tBkHDiQSGxtPz57P\n0blzXzZu/JRGjRrxzTffEB4ezogRI6RblTOYTL4nT674XmEh/Phj+TbkptLG4GAleprWOFRe/hgX\np76jcnPVc9NjNejv789nWcf45PspZBvhjd/f4N07tzAk6X5anthKoS6AgKIctEb1XRmcd4Z2KUki\n4gh1ChFxBEEQBEGoVXTr9iTr14+hqGg8Pj5V/FemtrbDtiQ+noFjx/LZsmUM0GqVOajRqP7pdMp3\nYty4Mq+WkpIy4cbPDxo0UGVX1cmw8dS59IQvzsqVFTJBnBrbJPpkZiq/m0aN1DWZOdN6xlNN4i33\nwpIlqmTPaCwTIJOTCdbr6d69O+npU9Fq59Ox41i+++4/tG49mCuvvAc/vxCuvfZaADp2vJNjx35m\nyZILrF8/1vZY3nLM3obBAHPmlLWYN2ESxE6erFjaaMoo8/VV3zEzZypxcsUK2+WPej1cdx0cPKiy\ncPLyVCc9Z0thExO5f/VqrgKuu1gC1urcfn7aNp8P7vgeUN2qJizvR72cExjRYNTonBtLELwYEXEE\nQRAEQahVNGvWndDQZvzrX++TlFRJu/CaaOnsRq6aOpWFpk4y/v4qaNJooH17lXWTnKy6EC1YAA8+\nqDxxAgJg+nQl4lQnkPXkufSEL44tUcXRsU2iT2CgEs7q11ev5+R4l4DgTffCyZNlHiyg1u7F87xg\nwQJatGhB//69uPrqR4iMjCM9fTcNG17O5ZffToMG7alfvzUBAfU5ffoPVq0ayNdfN2Tw4MEVx/Gm\nY/Y2kpJUeWVJiXpu8sLR6dS6HzlSnauZM5Xo0r9/WWZObKy6P3Jyqs7gMxigcWNVUpWXV9bi3Fne\nfRcKC7kW5X1zGogGBia/z/uNrqIoOIpTkXF8Mfhdbt7wAJqSYvICI9jb2nkPHkHwRkTEEQRBEASh\n1jFw4Dt88kkPHnnkFoKDo3j+eSsbuTujw9Po9cTdey9Hs7JofuKEamudmgq7dpXvJtW6teqWpNEo\n34tevap/3J48lzVZ2uXo2CbRJytLBagXLqgyk+Bg7xIQvOleGDlSdfAqLFRr9NlnS+fSvHlzBg0a\nhJ+f6l7Urt0tfP/9VHr3noefXwjR0Z1Ld9Oo0VXceutahg0bxJw5M5kyZUr5cbzpmL0RrVYJNvn5\n6jsD1Pl58EGVKWMwKAE4PR0+/1z9bU3gtCWImotozZpBt27q2rvQkL4RcE6rpVVJCaM3Pkx6aDOy\nQpry6U0fsnjkN0SnJXMqMk5KqYQ6h4g4giAIgiDUOho2vJxWrQayadNEhgz5BLDi+eKpTkceZFj/\n/nw4ZgxPGY2qhCcuDs6cKd9NKjlZ/aLesaPrgldPn0t3lh9VlSHjyNjmok9wsMpOsGZyXNMCgq3r\n5+5sIWv7j49XIs7GjSqLrEGDcl3Trr32Wo4e/Ybnnx/JtGkhXH/9U/zww5NcddWDRFgE402bduPu\nu//iqae6sGfPUBYtalv1MQuqhHDxYuXjlJ6uMvtCQ2H+/LLrlJSkOuGZyjNnzFCCW2VZfeaG1VD+\nHrjppuoLOPfco/Zv8vrSaAgzGvm7pITmwDdZxxiRdYx2KUn8fM0kEW+EOovGaJ7OWAWNG3cxjhu3\n3Y3TEQRBEARBsI/CwlxWrOhH8+Y3sHXr89YNTr2ppMUVvPoqTz3xBLP8/fHJzVUBUtOm5TM9TL+A\nm1pbuyoLxEpHoXLv1Ybz7KkSG3ddA3vHtnYt7GkX7co5VrV/gwFGjVJZTKGhpW3ez549i16v5/XX\nX2f7dmVcXFJSxLZtLwAaOnYcR2hok3JD/fxzAufOpZCc/KF950IoOzfm4iOUna+kJJg6VQkmJSWq\nJKpVK1i3znrZVFKSKuU8fly91rSpygT08Sm7B8z37+z1SEwsK/ECePhhOHiQTkAykIeS9Bf+324R\ncYRax7x5mh1Go7FLVdtJJo4gCIIgCLUSX98ghg//kpUr+9OrVyg//DCj4kbeYCjrYsb6+DCzsJAE\nPz98+vWDadMqmui6qxzJ1DVq8WKV/WMySvam0qHKcHeGjLloUBMlYZUJJ5b3grvPhfn+U1Jg0aLy\n7dWTkmD/fhXknz6tnuv1hIeHs3btWsaPH8+//vUrOt2LaLU+dOv2JHl56fzxx9uEhbWkQ4c7Sodq\n3Xowq1YNYuzYX/joo+vK5lAH73+XYXluLNfOzJlKtDlwQPnlaDSqXNBynZg+d/SoWkcmTpyA0aOh\nc2eV8fP887B1qxKNqvM9ER9fPqPn8svh4EGeB24CAoHuQJcTUwiI+Mrx/QtCLaCKfpOCIAiCIAje\nS1BQQ269dQ0//vgUI0Z8WdPTcT+DBtGuXTuuql+fxQ0bVhRwTOj1yuQYVOmKwVD9sU1BeViYCr4X\nLFDBW1JSWbBeWKi2s5MffviBl19+ufRfQkICx44dq/5cbeHOEhtTMDt3rnoEdQ08KSKYCydVXQt3\nlxuZ9p+SorpRJSWp82LHWrzuuuvYtGkT77//PmlpO0tfDwyM4Prr/4tO58+ff75b+nrjxtdw000f\n8vnnNyNVA05iuXZycmDNGrjllrJOYsePK0HG2udMpt7mNGqkRJspU2D58jLRzsHviUo5eRKAwcBD\nwBvATmBBYiJFRfmuGUMQvAzJxBEEQRAEoVYTFtaSa6+dSlLSPZSUnECrrcO/UV1sjz3gl194bN06\n7rGn/bWrMmRMQfnhw+p5y5bKlwdKxQCjjw9bi4oo/vFHjEZj6T+g3HPTa5988gkLFiwoHeK1116j\nuLjY+TlWhTuylEzZN8eP17wPjiPCjLsNpE37X7RICTimrkam82LyZTGVU5myui7SpEkTFk6fzpRn\nrmdh5/9ypO3NpeUxev0I9u//kp07P6JjR9VivE2bIdx441usXj2Ip5/+jVatWrn2eOo61taOXq9M\niQMC1HsFBbBnj/XP5eer7Uz3b6tW6pouWqTKsUJDlQB0+LB6z1Wi4dCh8PvvaIDXL770oI8PfXv2\npLDwP/j4LKjs04JQKxERRxAEQRCEWk+vXnP5/feFpKenExkZWdPTcS96PSFt2pCXlERxcTE6nc76\ndq4ulzEF5UlJKvjOzFTB3qBB6l9yMnTsyJMPPMCMGTPQaDQV/mm12nLPn3rqKerVq1c6RFZWFjEx\nMc7PsTLMS51MWUrV3VdwMCQkqPNsCl5r0kjXUWHG3eVGer3yLlm/XmXkhIaW72q0cmVFnx7Tc+CO\njz9mfW4un/70X/574n3arlpF4JVXMm2aEm22bp1LRsY+GjRQhsbt2t3Cxo3jyMrKsj0n8cmxzejR\n6tHc86p/fyXEFBYqw3TLFuGW5t5795bfh+nzubkQGAh33w3jxrnu3M+aBWlp8MYbZa8lJzP+t9+Y\nPn06Y8aIiCPUPUTEEQRBEASh1qPRaIiIuIydO3fSp0+fmp6O4zgYWKanpxMWFmZbwAH3lMuYgn6T\naGM+X72exK++4pFHHqG/ZaBnB2vXrmXAgAHVn6M1rGUlgXPBvPm+srLUuTVlmYwdq0SzmhQIvMkH\nxmBQIpePjzpfM2fanpvlNRo9GrKyeDsoiDn5+Yw4eJDT11/Pcy+8ADwMQNeuU/j228n06/cqWq0P\ny5bdQHZ2Nh06dLBvDG/2b/IklufFPCsqPh5WrSozE7bWYcp8zVm+b8/nq8vrryuDY7P7+cWRIzlu\nMlkWhDqGiDiCIAiCINQJUlP/4vekJPqcOVO7fmV3IrBs1KhR5QIOuLdcxoZQsHXrVp555hmndrlj\nxw5mz55d3ZlZxzIrKSmpzKTZ0WDe0rC3sLBMKLPs2nWpYzpXJpErJ6fsPWuijfk1AggNJez0aeb5\n+DCvTRsOTpzIv2bNom37NcResQ5f3yA6dfo/du5cSqdOdxMe3pbz5w97LjutrlDVebE0E3aU6n7e\nHsy+k0ydChs3vta9YwpCDSEijiAIgiAIdYKosFakfvQR/O9/tetXdicDy+joaI58+y0t0tNtizQe\nzsowlUk5Q3FxMcXFxWWeOV9/jXHTJox9+8KgQVb9daz9rdFoypVoARWzksD5YN58X6GhKrvEVELi\nSmq67McV41eWDWa57qH8toMGqfKb5cuhXTsYNoxWCQn8HhHB+D//JDN8HBGxq2nU6Er++ecTSkqK\n6dEjgd27l5OdnU1ISIhj87mUqW3npZK1GRjYAIDhw7+kdevBNTE7QXA7IuIIgiAIglAnGNlmCC/8\n9jITO3SgSUZG7fmV3ckA6v9692bmiBFMbdiQtvXqeYVoZRJTnGHAgAHMnTtXCUF796JZsQJKStC8\n/Taaf/8b9PpyIpGtv48dO0bnzp0ZM2ZM2c4ts5JAZeI4E7Ra25fJF2fFCtdch5ou+3FV+Zm5j5Il\nluve3FspLk5lOU2Zokxxt2+HiAgoKMC/eXMWGo00X7eOuyYcoV69FsTE9Ofo0R+IielD+/YjeOml\nl5g1a5bt+YgnTnlq03mp5N5IT0/nwoWzALRp86+am6MguBkRcQRBEARBqBO0uOIe/pX8Id/s28f4\n6Gjv/zXZhJMBVJPTp3mjSRMezMjgBV9fIrxAtNJqtRQWFuJrynZxgN69e9O7d2/15K67VEtjnU49\ngmqnbiePP/54eREHKmYlVSdoNd/X6tWuL9Gp6bIfV5afQdlnzUUuW+ve9Gje1SgrS7WSvij6RAQG\ncuctt/DHH2/Tq9ccYmL6smXLM8TE9KFt22H88st7tufiTZ5B3kRV56WmM8NMVHJv/PLLLwBMneq8\nmCwItYE63INTEARBEIRLibQIPcebduPuw4e9IivFIfR61THJkTnHxeEfEMBIf3/a//MPeT4+SlAw\nGNw3zyro3bs33333XfV31LgxaDQqiNdo1HMHCA4O5uzZs5Vv5Mw5t4Y7SlFqurylsvKzwkIVONuL\nedBt+dnKrkH//qDVKgHHtAZmzlRi3ocfcts997B//5cA6HRlouGZM7vqfoc6axgM7rv/Tdkvc+eq\nxxr8jqmwNjMyYPJkSEzkrrvsF3oFoTYjmTiCIAiCINQZeg9dyR+vhLDfx4c2nh7c079UX8xkGJic\nzGNffsnJ6dNpnZ8P9eqp1s01IGKtW7eOxx9/vPo7GjcOPv8czp2D+vXVcwfw8/Nz2pvHYdxRilLT\n5S2uLD9zVpAydTVatQq2boW1a+Gzz+DVV0Gvp2N4OJmZR0o312i0lJQUk5Gxl4iIbPvnVxdwd/ld\nTWeGmWNam0uWwPffq65UPj4Y33mHrAIjd931R83MSxA8iIg4giAIgiDUGfz8ggFo27ZttfxZHKam\nPEwulkBM2L2becuXM8Pfn4iTJ1WAM3eu+8e/yOLFi9m/fz+9e/emWbNm1d+hXq+C9spEjEpEs+zs\nbPz9/as/D3txR4lOTZf9uKr8rDqCVHy8Mo3euBEyM1Vp3cSJ0Lo1qYWFREWVGVg3bnwNx479yDXX\nPMaSJV04cOAAsbGx9o9lBfMKvuefr9au3Iu7RZaqhDhPC9gpKUrMu3BBPS8qYq+fH2Faf6KiOrl/\nfEGoYaScShAEQRCEOsWYMVsIDm7Ef/5T7LlBKysZ8QDR9erxmE7H7JwcNY9ly2yXPLih7CImJoZe\nvXoxbNgwl+2z0lKbKso7CgoKCAwMdN1chOqVnzn7WYMBFi+GtDTIzgYfHyUmJCcTEBBAXl5eqVjb\nqtUg9u5dQ6NGnenYcRxjxozh9OnTjs/1IpYWTA5YMnkeR7KdTPd/YqL93wMmIe5iKVu562gwwKhR\nMHWqenR3qZXBAA8+WCbgXMS3sBCCdBQV5bt3fEHwAkTEEQRBEAShTtGkyXXk5Jxm69Y5nhu0pj1M\nBg2iRXQ0f2s0nAkKgpAQ60KSm7wtmjRpQlpamkv2ZReViGY7duygc+fOnpuL4D6Sk5W59ZVXqvsq\nLEwZHcfF0bZtW1q3bs1ffy0CQKvVcdllo/nrr/cYPHLZLzcAACAASURBVPh9srPbM336dKeHtpZ5\nM22al4o5tkQWS8HWdP9Pmwa33grTp9v/PWBLiEtKgv37IT1dPVrrROYqEhOhe3c4fLjCWy2NRlLP\nnWPp0q4YjSXum4MgeAEi4giCIAiCUKfQaDR07HgXP/00k9GjN3lm0Mp+qfbU+G++yczGjXnS15fi\nkBDrQpKbMoY2bNhAjx49XLIvu4iLg+Ji2LVLldiYHeu6desYNWqU5+YiuA+TOFpUBK1aQb9+ytz4\n4v01Y8YMLlxYXrp506bXceFCBufOHaBbtydZvfobt2TkeaWYYymyWBNsk5NVWdqpU+p74NQpZRzt\n7PdAYiKsWaPuRXdjMMCkSWDDsPz2i49nzuzkhRd05OQ4n4UlCN6OiDiCIAiCINQ5+vR5EYCVK/t7\nblBXdTtylvh4+m7axA1jxnB348bW5+GmjKG0tDRiYmJcsq/qUlBQgI9PDdo+uqpczZ3dhmoTo0fD\njTeCvz/8/TckJJSekw4dOrBlyxbat1/M3LmqrOqaayazY8drhIW1JiSkMQbDavvHsjjnltk4ls+9\nTsgxx5pgGxen/i4uVh2/CgogJ8e574HERBg5ErZtU/vRaKBZMxg0yPXHAmr+Pj5qHVhgBFZZvJaW\nttM98xAEL0CMjQVBEARBqHMEBTXk+utnkp7+T01PxbPo9YxZuJCkMWP4+++/6dSpU4X37TGZffPN\nN0lNTQWUKPLII4/QuJI23x41kYayMpsOHSoYuRYUFHh2LiYMBlVKsnixmlt1DK5ryijbk1Rlhmt+\nDkx+OC1alLvesbGxzJ8/n4SEBAwGAxrNPHQ6X+LixrN793L69XuNFSv6cOZMfxo2bFj1fOrSObcm\n2Or1sGCB8pQ5eVJtp9EoI/RGjZQAU9Uxm9b5mjWQn6+ui9Go/gUEuPd46tWD1q3VHErKSqY0QJ/2\n7fluzx5mzpxJQkICLVr0dt9cBKGGERFHEARBEIQ6SefOD/L669FMmJDM++972KOmhnn55ZeZOHEi\nCxcurBi8mnUdOnjwIJ9++inZ2dnodDpCQ0M5d+4cZ8+e5bXXXgPg6NGjTJ06lVatWtkcb8uWLW47\nFqtUklGk1dZAorlJADh9GlJToWtXVbbibJcgb2rp7A7sEUzMz0FKivrbyvV+9NFHGThwINdddx39\n+h0gNnYV0dFX888/y+nQYQyXXz6GHj0eqDojx8Y5rywbx1RW5ZWdq2wJtvHxqixpwQKIjFTvv/KK\nEh4XL4aVK62vtZYtrXrRUFSkHsPD1d+LFsG997qnW5vpeP7973IiDj4+fGswUFhYiFarJSEhgZSU\nRNq0GeLaOQiClyAijiAIgiAIdZLg4EZcccW9/PnnO8DrNT0djxIVFcWtt97Km2++yZ133snatWvR\n6XQcOXIEnU5Hly5dGD58OPPmzSMhIYGoqCjy8/M5fvw4rVu3Lrev5s2bs3Tp0ho6EhtUklHUo0cP\nPvvsM4YPH+65+ZgEgJYtlYhz+DBERTlfrmZLpDJlQYB9WRP24On20GCfSGV+DkJDlReOqfTHYtv2\n7dvz9ddf88ADD6DXz6So6FmiojqRnr6bAQNe55VXQtm/fz9t2rSxPScnSg29RryxdQ1ttakfNAhW\nrFBrtaREHbdWW+aPY/6ZxEQYPrxCN6gKHD2qMnGSkmDLFvdkMpmOZ/p0OHCg7PWLpZy+vr4sXrwY\ngMjIS0u4Fy4tNI6kvzZu3MU4btx2N05HEARBEATBdWRlnWDJks4MG/YpH3/sQeNdL6CoqIgff/yR\nAwcOMHDgQAoLC4mKiiIkJIQ1a9bwxx9/EBkZycMPP1zTU3UpJSUlPPTQQ7z22mv4+vp6ZlBTZklh\nocpGGD+++iKLZWBuauW8f796v00b21kTjs7bmRKi6og/5ufL19f2uA6OsW/fPrp27cqwYd9Sv34b\nduxYwPXXz2DFiv6cOLGVgoIc9x1TTeHsNTQJgm+9BceOqddMawpUidUXX8CePfbNQ6OBhg3h2muV\nEDZtmvIIcwcGA1x9NeTmQlAQ7NgBej3p6emlmYdTp3q4xFMQXMC8eZodRqOxS1XbSSaOIAiCIAh1\nltDQJnTqdA87diwELi0Rx8fHhz59+tCnT58K7w0bNoxhw4bVwKzcj1arpW/fviQnJ3uu1bidXkMO\n79N8P8nJKlPCZNpsLWvCUZwt27ImHJj2Z8/x23u+bGWSWMFoNBIWFkbDhg35++8PCAhoQHr67ou7\nGcnx4z9XvRMHxvManLmGJrFq0CD1zzy7KyVFXdu0NMfm4eMDgYEuN023il6vhBuL9WMScMaP/9N9\nYwuCFyAijiAIgiAIdZquXSfzwQed2LBhAzfeeGNNT0dwBVVkTFx11VV88803VYs4rsy8sFcAcHbM\nuDhVVnT6Yuvk0NDqB8rOdiuzFA6SklR5jiPZIE4KJoWFhaSkpGAwGNizZw/Z2dml70VGRnL48GFu\nueVmWrbsx19/vUtGxj4uu2wU33xzP2vXruXmm292eEyvxtFraE2AmzSp/HuOCji+vqoF/Cuv2Cx5\nczkW6+f2228v/Tsq6gr3ji0INYyIOIIgCIIg1GkCAsIZNOhdRo9+mLQfv0D3zz81Uy5RG0s1aorK\nzpUd5SOxsbH88ssvPPjgg2g0GttjeLobUXXG1OtVqYsznjiVeaY4k0FkKRyAy42Yz507h8FgwGAw\ncOjQIUouGtn6+PgQGxtL+/bt6du3L6GhoQAcOXKEIUOGEBAQTfPmPdBoNFx++R388stcbrjhWW69\ndQ233jqcpKREBgwYUK25eRWOXsPKMndeftlxAadePZg923UeTU5iKp30969fY3MQBE8hIo4gCIIg\nCHWea8NasvrsPr686SaGNWjgXNDuCg+QutK+2J1Uda7sKB/RaDR07NiRY8eO0bx5c+vjVKeUyNl1\nUN2uU85kr1R1Pq3tMzERNm6E/v1VNyNr8zAXDkBl4jiY0VNcXMyRI0dKxZqzZ8+Wvle/fn30ej09\ne/Zk7Nix6HS6SvelPJB688ADr5YKd35+wYSGNiU19W/ath3KzTevZujQUfzrXx+zerWV4/IUrhZ0\nHVkXlZlmf/GF9c9oNODvb93cePLkskweSzwoXL///vt89NFHxMcvdus4guANiIgjCIIgCEKdJjLd\nQOhnQwFof/IkBAdDfr5jAXR1RZi63jLalVR1ruwsH+nTpw9//vmnbRHHmVKi6q4DZ8uXrM3DFZkX\n1khMhJEjVdeiRYtg1SrbQo75fuzMBunf/zXy8s7Q74ozaNPSiLnqKvR9+jBu3DgaNGhQYftp06zv\nx7Iz1L59+7j66mg6dVrGH3/8QYMGDcjMfJIrrriHTZsm0afPfNq1G8b+/es4fyARVnuo7McSTwu6\nlmvFVuZOcrLKqklPB1PjGx8ftQ6CgsCsbK0cYWG2x/XgcZoycaKjq/SEFYRaj4g4giAIgiDUaaLT\nkqmv0RKp9eWyoiLYuxd0OsjIsH8n1RVhXBW8XwpUda7sLB/JzMwkKCjI9jjOlBK5IpOmugbIjgbH\njq69jRtV1yidTj1u3GhdxLGkimwQkxhz4cI5BrYezLg1jxETXaBaU996K1Qh4FTVzvvxxx/nhhtu\nYNGiRaWv3Xzzr7z00ktkZ/+H77+fyg03zCGspIiI3SspmfMzWn9/z2fFeVLQtbVWrF2ruDiIjFTX\n/ORJlX2j00F4uBJxcnLU+ikoUNvrdCo7xxuO04y33mounamEOo+IOIIgCIIg1GlORcZxtV8o+SVF\n7MRIR1AByvz50KuXfYGFsyKM+a/gtoJ3b/DK8YY5mLBH6LCjfOSnn35i3LhxVY/laTGuuh2QHA2O\nHRWOwsLKAnXT82piLsZcdtkoju94DV1JAbszm3JZmGsC/J49e/Lpp58yYsQIVq5cSVRUFOvXr+f6\n669nw4YNaDRT+fnn2YTlprHywhmMp32JLSkhZcIEnli40HOdzDwp6DqyVszXSXAw/PgjLF+uBJy8\nPPWdWVgIWi1ERysBJzRUeeFYowaE6549e/Ljjz9SUlKEVithrlB3kdUtCIIgCEKdJi1CT054O+4+\ntZ3lwHMlJapEwGi0P3h0JoPC2q/gt91W9TamfXtKWPFGvx4XtHouLCykVatWLprQRdzRStwce665\nM8GxI+fz/Hm1Xx8fKCpSz11IUFAkB3yDKNb6EZp9Ahq6LsAfPnw4RmNZFkbv3r3p2rUrAwYMYMiQ\n7+jT5wU0KRvYfmgj44KCuCE8nFOzZrH2++/54osveOSRR4iKinLJXGzi7jVkjqNrxXyd5OTAN98o\nEe/wYRg+HHJzYcgQJX7b0x7eU8d5kQ0bNhAYGEhhYS7+/vXcPp4g1BQi4giCIAiCUGfp+sc7xH37\nGK8X5fEa8B/zN03+OPbiqLBgz6/gtrbxpLBSR/16fHzc9N9cFwhMVnHkmo8erR7d0RGof3/lhVNS\noubRv3+1dmfpafPHH28R1+UxPu00gSk3Wg/wLT9TVSlVZYwcOZK8vDxmzBjEypUr6d59IAAxDz1E\n8ODBxOr1TL7xRo4ePcqKFSt49NFHnR/MXty1hqyN46yQEhcHxcXw66/q+Z49qjuaaR/2it8e/C4p\nuJhB9uqrYRw7doyFC5t6bGxB8CQi4giCIAiCUCfp+sc71N9wP+2AnsAA4EnzDXJz4aGH4Ouv3RNo\n2PMruK1tPCms1EG/niNHjtCwYcOanoZj2HPNLYUeW6Us1SE+XpkZV9adyk4sxZhTp3YQFBRJaGgT\n0mgCt1W9pqsj4JgYN24caWlpdO/encmTJzNy5Eguv/bactuEhYWRnp5e/cHswZPli84KKXq9uvYf\nfAAxMUrQMReZTWVXOTVkEG2FevXqUVRURNeuXYmJiWHy5Hy02sq7mglCbUREHEEQBEEQ6hwRabsY\nvuF+ACYBr9ja8NgxSEpyTwBir7eLtW08KazUQNmDu9m2bRu9evWq6Wk4hj3X3FPiXnw8tG6t7o0f\nf1SvNWrkUOaPpYCTm5vGzp1L6NtX3Y2ViTOuEG4sefzxx5k8eTJardbq+/Xq1aNTp04kJCRw1113\nsXbtWrp3786VV15Z8TPVEWG8sXzREoNBXfuVK+HcOcjMhHbt1PGa5p+ZCUeOQIsWqquVlxzH8OHD\n+f333wHI//4/tLjiHtIian5eguBKRMQRBEEQBKFOEZlu4PEPOpY+f7myjW0EdC7Dnl/BrW3jaWHF\nw2UP7ubo0aP0r2YZkMex55p7QtwzGGDJEli6FM6cUWa2oIxsFy8uX1JjJ4WFefz009P06vU8Wq3O\nLSKNPdgScEwMHz4cvV7PZ599xogRI9i2bRsPP/wwP/74IzrdxYyO6oowlkJcUpLnBdTKRCjT8R07\npuYXGKi8keLj1barV6v5Bwaq7JwLF5TpsZeUYa5du7b0761/vsPkYz/z6U0fipAj1ClExBEEQRAE\noU7x28aJpX/vAzTmbzZoAP36qcBJqy3LLqgpKgumXCWsWBvDm7pRuYGcnByCHfE78haquuaeMFYe\nNUo9mneo0mjUv6wsh4P1oqJ8Nm+exnXXTcffP9S183UDHTp0oEOHDgA0b96c7du3k5eXR3p6OjEx\nMdXPhjIX4oqKlDCm03kuK6cqEcp0fGFhao5GozK5btSobP7FxXD6tNru5Ek1fy+53/766y9m3H03\nX+7YQY/Q5hQU5xOdliwijlCnEBFHEARBEIQ6xcpDGwD4Q6OhDZQFoBqNyibo0EGZdRYVQUBAzU3U\nE2UV1sYA7y/nqCZ5eXn4+vrW9DTcgzPini3RzvL15GQl1Pj4lBdxQAXzoaEOZf8UFGSzefN0unZ9\nnHr1mjk2Zy/hpptu4r///S9t27bl0KFD9IqNZUh1sqHMhbjjx1XGkydNxasSoUwiU36++n6MiFDi\nt6XYbRJ3WrdWz3Ny3DtvO+nUqROPPfIIX951F69kGHgFmB9Z+32+BMEcEXEEQRAEQahT3Df4A975\n+m6aR0erYOTGGyExUXk4nD0Lzz2nsnACA1WQsmgR3Huv54WM6vyib28mjbUxoHZ3o7Lj2DUaDUaj\nEY1GY/X9CvtLSlJ/u6PbkzuxZx3YEgutvR4crIL3/Hwlevr6KuGmZ0/VVtqO82Pywjl27GcMhlV0\n6/ZfQkKiS9+vqVIqZ+nZsyc9e/Ysfb5y5Upmdu4MqalkBgXRc9cuhju6ZkxCnMEAK1Z41lS8qpI8\nc5HJmnFxcrLKvLn8ciWG5+VBVJRXGaLnWpiaSxaOUNcQEUcQBEEQhDpF/U7j6XH4W0Zm7GHTpH8r\nQ87vvoOMDBV8lJSoxwsXyoyNt2xxPiMlMdG5Tj7O+ps4ksFja4za2o3KzmNv0qQJaWlpNDKVgFS2\nv1GjYP9+9dxJzxeX4UiZm73rwJZYmJQEqamq81Bmpnq+eLG6TzQaJXSGh6symrlz7TsnBgONdmxi\nzanthLUaSL9+r6LRaOj702wu37eOf9oOBWY5cWK8h1GjRqk1c5HZs2dzww03EBkZ6fjOXFUe58i6\nsddwvarvlMxMaNMGxo/3OvGzb9++APz000/06NEDo7EEjcbN/meC4EFExBEEQRAEoc4xqMtE5n50\nLXFP7OTvznFoHn8cXnpJCTinTkF0tPqFOSgIYmOdz0hJTISRI9V+Fy1SrZntFXKcDeBsZddY24+t\nMWprNyo7s5cOHz5sX1BtXj4ETnm+uAxHy+vszeSy9GA5flyt28WLla/J6dMqGAd1/H5+SuQsLFQl\nMw7O//DOw8wJiuaX66aSdlHAGfDz02iAZqm/wx174ZNPHDgx3s1jjz3GCy+8wOnTp2nSpAmxsbHc\neeedFTe01Za7ut5XzpRlVmfMWtDNLjAwEKPRyMmTJwHIyUktlw0mCLUdEXEEQRAEQahztDx/kGY6\nP3YW5VFcWIhPgwawbl35ICo4GBISqs5IqexX7o0blYATGqoC4I0bHcvGcSaYssyuCQ6uPIiz1f3K\nC4OvKrEje+nMmTNERUVV2YmodH+hoUrIAIc9X1yKo+V19mZymYJuU6bN0qWQna2Eq65d4fDhsmwK\nk7BTVKQycS6/vCxLp6qg/eL8x0RdyZdpyfyy6TE6DFtNp92rym+3fDnccYdj94kXU69ePZ599tnS\n5++//z6zZ8/mrrvuorCwkMjISMJOnnRfW25PtZ03pxZ8fyQnJzNhwof4+ASSn39eRByhTiEijiAI\ngiAIdY5TkXGsaxhHp1PbSddoaGT+q7c5rVuXBaeg2udadnGy5SeSnAzt26tgNytLPVanrbW5WATl\ng2ZLIcn8l/CaCOJqCjuyAHbu3EmrVq3s39/Kld7hieNoeZ0jGREm02KdTq2TlBS1ZjIzlXBlwnQu\nTp8u85Gyt4PSxflH56Zyd2gzfou4jFmzigk71gFW/1O2nUbjuNhZi5gwYQJHjhxh6dKlHDhwgICA\nAJ7r2pUG9rbldtSjyRNt52sh27dv57ffXgYgNLR2mmoLgi00RgfSJBs37mIcN267G6cjCIIgCILg\nGiLTDTz3cXc+f+cVelsrbzDHllizerXyAzEJJNOmqSDJfNvx42HPHsc9cWyNX1ysXtPp1N/x8Sqg\nthVEmz5bWKiCuDrYbcoRjEYjTz31VLnsCLup6dbr7hzfcp3MnAl799oWaExzseygNG0a3HabzTE+\nmZbMqcg4dhuNREd/wrNjxkCPHpCerrYJDIRPP62zIo6JgoIC4uPj+c9//kPixx8T+d13ZGRloTt/\nnv/4+9PQx6di+eVFj6Z/du+mb2Eh9Xx9+fn774m8/vrKB6vpdeuFGI1GvvzyS8aMGUOHDg/Rq9fc\nmp6SIFTJvHmaHUajsUtV20kmjiAIgiAIdZK0CD2NWg5gwRdfVC3i2MpmsfYrt+W2DRrAyy9Xb7Lm\n+9y1S70WE6O6v3zwgSp/6dpVZUZY/npfCzwqKsXFAaipM5VT86jp1uvuLFOxtk5ycspn55h3anO0\ng9LF63jH82XXccQIA8v/+IPbf/oJliyBkyeVh5QtAacOiRF+fn4kJCSQmprK3HfeIffPPwlctoz8\nL79kdm4uD4eFEZudzdEjR2jevDnHjx8n5JdfqJ+ezvjCQm4ECgqLiBs4kL/276/cpLsWlDd5Go1G\nw9ChQ1m3bh2DB99Kz57PotXqanpaguASRMQRBEEQBKHOEhc3np9+Gm/PhtZLEmwJJK4uXzAf31Te\ncviweoyJUcLO4cO2W/nW1iDOTcJJWFgY6enpRERE2P+h5GQlkgUG1qzBsTuxXCemdZeSotaXtU5t\n9oiENq7jSy+9xJo1a9Rn5laRCeENIpqLycnJ4eOPP+aFF16gZ8+e6H18GO/nxzMBAfzn7Fn816+n\n1cmTpKamEhISwvGdO7krM5NwIAJ4XutHfPBltG3bls2bN3PVVVfV9CHVOnr37o2PTyD7939Ju3bD\nano6guASRMQRBEEQBKHOkpLyFb6+vrY3MP/l31agahn4uiPzxXKfoDIXli9X2RLNmkG3biqLoZYH\ntuVwk5/PhAkTmDlzJi+88ALBwcH2fSg4WJnOlpQofyN7P+dJXJ2pYlp3ixYpAcdWp7aqREIb1zEm\nJoYzZ87Ydyx10NtpwIAB3HDDDXz++eeMvvJKHu/bF8LDCS0s5K3FiyuUUhXt2MFLWVl8D4wFcoMa\nEj9kKcYDifTo0YPExER69epVQ0dTeykuLmDPntUi4gh1BhFxBEEQBEGos1x99UQ++mg5O3fupGPH\njuXftPbLvy2vD0vMS00szZCdxTxQNhjgu+9UC/TsbAgIgL//Vq+3bl3rg9tS3GTKGhERwVNPPUW/\nfv3YunUrGo2m6g/l5KiuQYGByng2J8clc3EZF/1SyMxUnY1WrnSdkHPvvSoDx7wNucFg//4ruY4N\nGjTg22+/pW/fvmXHYeqUZe7FU0cNev39/bn99tth9WrCNRq2NWjAtXl55dfXxWvrs3MnoUBv4Hbg\nWHAT0iL0dI3QYzSWMGDATWRnZ+Dn51czB1NL0WhyOXhwQ01PQxBchh29FwVBEARBEGon4eGx9Oo1\nlwkTJlT0STH/5b+wUD13BJMINHeuejQYXDXtsrnFxqpAtzrz9BZMgpf5eTJlgkyb5vLymejoaJ5+\n+mk+++wz+z4QF6fEEajZVuO2SEqC/fshI0M9mjoYWTuvjmK6DmPHqudLlzq2piu5jtdccw0G035M\n98xrr6ljCAsrW9NuXAteQVwc05s3Z9PBgyw7f778+kpOViV8Gg31UQGaBqCkqHSTa655jPr1Y+nb\nt69znk+XMMnJyeTlneH48a01PRVBcAki4giCIAiCUKfp1OluUlJSSLYUP6r7y79JaPHxgYMHVfmT\nq7D0yKlXr3ZnKFQmeOn1KgPKDUH7oEGDOHHiBHfffTd79+6tfOPaKCKYzuusWTBwIEyfrl5zRtjR\n65VQaDI6dlQwtHEdN2zYwIQJE9QT0z0TE6OeHz5c0YPKTWvBLlwhiNlCr0e3ZAlPvvoqP3ftWv4Y\ng4NVJ7riYm4Gvgd+Apqk/UH7A4kAaLU6xoz5mb/+OsjEiRNdP786TPbFdeyfVksFcEGwQMqpBEEQ\nBEGo02g0WkpKGrBq1So6depU9kZ1vW3i4lRJxP79YDSq7IKePV3TOtmaR05t7tpTg34njz76KMXF\nxTz55JPMmzev8o292SB60CBVgpSVpYS9QYPKzJiPHVNldy+/DF98Af7+tlvSV4YbSpqKiorw9/cv\nv//MTGjTBsaPV8fhDee8OsbK9noV6fX8U1JC2+PHy382IUEJOX5+BBcU0BPYCvQArvnzXfbEqu8U\nP78Q/v3vzbz1VicGDBjAkCFDnDvW2o4D3lDG3bu5YpjywunwyzwKm3YjI7IWCuGCYIaIOIIgCIIg\n1HmaNu3BN998w4wZMwgICCh7ozpBu16vzIYPHVJBdW4ubNzoGhHH2ty8IdB1lhr2O9HpdOh0OnL/\n+IOg/ftVwJyTYz0INA8QwXvEM71e+eBYzqewEPLzlRmznx+cPau8lDp2dFwwc4Npdzk/IneYgttD\nYqK6N/v3t31/Ois0msSfM2fUmnr6abjvPpubf/nllzz00EMVx42NVZ8/coTpKGPjSUDzU78SmW4g\nLULNJTy8DX36vMgTTzxxaYo4Doptmp07AdCHhPDWheOE/3Ar3Yf8iZ+fFxqXC4KdiIgjCIIgCEKd\nZ8CAhbz8cjA33XQTmzZtqnxjRzoAjRwJn36qBBytVgWJQkVqKng3o3OjRvwzdixdSkpUF6oWLVSZ\nmnkQaB4gFher15zJaHEX1oS9BQvgwQfh9GnVWSs8XGXiOCuYudi028fHItzwdLZTYqK6T0tKVBeu\nVauUObjlWnRWaExOVgLOoUNqjIkToXlzm2LRlVdeyYwZM5gwYQJxcXHlx23cGIYMofd775Gfn4/B\nJ5Ao//pEpyWXijgAoaExZGVlVfPE1FIcFdvi4jh21VU0AfD1pdH+/fz6Sgj/93+7iYioxcK4cEkj\nIo4gCIIgCHUeX98gHnssmwUL6nPPPXt499321jd0tKQiPl4FhVX9yi/UeKlSy7w8UnJy6NKggQq2\nAwPLm+pC+QBx1y5VJudMRosniY9XJscmo+NBg9RjdQSz6pQWmbFr1y4iIiIcH9+VbNyorndoqCpF\nW7UKtm5VGUvh4bB2bdnadEZoNJVVlpQowc80Zny8VUF44MCB9O3bl+nTp9OvXz8GDx5ccdz4eP59\n2208XFDA6uJCTlmU/0RHX016ejqpqalERUW57lzVBhwV2/R6mi5bVnp+E77/ngceeID33ruMFg0b\n8u8+H3O2QTvq12/lmfkLggsQY2NBEARBEC4J/PyCadSoM++9p7fd3cWZjlXx8cqLRAQcr+bqm29m\ny4ULGPPyQKNRmStFReWDwNpqKK3Xw6RJ6p8rhCZb90Flxr9W3nv33XcZedVV7jMLtof+/VWWXFaW\neszNVT5W6enq0dyQ3BljZb1elVD5+SkRx8dH+8XsegAAIABJREFUjVmJmbevry/z58/n2LFjrF+/\n3uq4c41GThYV8eS5/fT6YQaR6WWfDw1tTKNGjfjhhx+cPy+1FWcMyM3O70033QTAF23bcuTMGZ5f\nPYh33mlNWtpOt05bEFyJZOIIgiAIgnDJMGrU/3jnndZs2LCBgQMHVtyghr1bBPehuewyOk+cyG+7\nd9P1zBkVzAdb+GJYM5Q2ZbiYcKTcriZwRRaN+X1QVATHj6uypIQE6/u1MeZ/r72WhUOGkBASAhER\nytPH0+fMMltu1SqVYaXTqZK5kyerP8Z996kSKvOMvNWrqyz7adasGaGhoWUvmNbWV18RWFzMdqA3\nRubv/YwFRzeTeNOSUpPjsLB+LFu2jBEjRlR//t6KrXutGll9zZs3x7hqFUVz5pR7/YMP1P3erdt/\nueGGZ52esiB4AsnEEQRBEAThksHfvx6NG3dl504bv7rWxjbTgt3cMWQIq9asUR4m588rbxxLkcb0\nqz2o9xYvhqVLlUiRmGi7Vbqr21M7uz9nssksMd0HY8eq50uXKq+XzEzr+7U2psFA6NSp6M6fVyLG\nnj0Vz7WnMM+WGzlSldJptepx5EjXjwF2CcJNmjQhJSVFPTHP3Nm6FUpKCAM2AGeAp/POcPOGB0oz\ncs6c2UmXLl1cM3dvpJJMpmoTF4ePvz/Gzp3J6tKFHz76qPStrVufc904guAmRMQRBEEQBOGSIiam\nP3PnfsCJEyesb+BMSYVQKzi3bRtBRqMqpwLlY2INUwC5YIEquQkLU+LExo22y4xcGXAaDDBqFEyd\nqh4d2Z+rsslM6z8zUx2/n5/KyrG2X2tjJicTkJ9PFqjMl/x8VcJW05iyZB56SD26qwzSDkH4iiuu\nYM+ePezatau8EBYSArfcAlotkcARYBugKSkmOk2tuaKiArTaOhzKuUKMtIXZtQn56CN6jhnD9ddf\nX/r2hQtnXTeWILgBKacSBEEQBOGS4pprHqOwMIdOnQZw5MhvBAUFuWcgby+7uQT5JiODHg0bqqDQ\naISYmDIjYHNMAWTLlpCaCocPQ1SUKpXZsqWikOFse2pLTGvm99+VeOTjo4SPpCT79mdqpT1+vOqW\ndPIkpKQ4P5fFi9Xxp6ZCmzbw4ovWW7PbMgXW6cqCDfNW4zVNfLxnPKzsKPuZPXs2t99+O29PnkyE\nuRCWkAD9+lE8dSr7zp9ni9aPvMCIUpPjhg0v59tvv2XatGnuP46awN2lrRbXZvPmzfj6+gKwYEED\nHn+8AJ3O17VjCoKLEBFHEARBEIRLCo1GQ/fuT3H27F66dr2f5OQlaFwdYLqou4/TY4t4ZJVRjz3G\nU5s2cWOLFtCuHUyebP0cmQLIzEwlXowfr8Qevd617anNMV8zGRllWUIlJfDnn+r9yq6neSttk3G3\nRgOffqp8YBwVLZKTlW9M165KxBo/vvJ9WGt/Pm4cMS+8wN8+PnTSaqFRI8fmcAng4+PDfffdx9cH\nDjDGUgjT61l27hx+Tz7Foe6z2NL+1tJW4/XrtyE5+Ttyc3NdJ0R703eHs93CnODbb79lw4YNPPLI\nIyxcuBCA3buX07HjnW4bUxCqg4g4giAIgiBcktx449usWNGHmTNn8swzz7h2567KzHCUmhSPvB2D\nAd2SJfj8739KnPjtN7j6atvGqbYCSGvZFa4IOM3XTH6+yvwpLlatsH/6CYYOhVdftS2kmLfSzshQ\nrzVooLoymVpeXzwPNudp/p65kBUVZT1jqSrGjaP7Z5/xv/R0OjVr5tw+ahIPiBobN25k9erVLFiw\nAAICKoxzU69eFBmL0WrKl0716DGLPXve4Nlnn2WOhUmvU3jjd0c1DIzt5eWXXyYmJobnnnsOnU7H\n0KFDmTNnDt9+O4VmzXpK63HBKxERRxAEQRCESxI/v2BathzAs88+a13EqU4AV1NdrmpKPPJ2TAHq\nvn1kFRer1woKYMYM1VXIWtDqaADpTMBpTTQxtTd/8UUlvqxbp9ph5+crc+HWra2P078/vPMOnDun\nTHvN22r371/+PFgG6gZDmYmzTlf2XjWFKWP79izu1o0boqJgwoTatRY9IGrs3LmT7du38/bbb1vP\nBjQY8L/nHjCWELdlNj12L2fFzStJi9Cj1epo0+Zuvv76a9eIOJfYd0dWVhazZs1i6NCh9O7du/T1\nWODo7t3k5Z3hhx/+y9Chy2psjoJgCxFxBEEQBEG4ZNm6dQ6PPPJIxTfMA7ji4vLlNPbgwVKAckiL\ndOskJ1Ocn8+Xfn7kgspY0WiUYOFI0OrKzAxrIoHlmmndGtavVwKOv7/aztY8W7eGZs2UiFO/vioV\n27OnrOX1xfNQGqjv3g3336/KyrZtUxk3qamqfCozU21bTYPv1atXc9PYsfQ3iUi1CTeJGkajkaNH\nj3L48GHeffddXn/9ddvlnMnJBOfk0E+nY7tRw00FWUSnJZeWVAUFRXPyZHq15wRcUt8dhw8fZt68\necyePZvIyMjS199++mkemD0bgK8bxpF8/QxcdHYFwaWIiCMIgiAIwiXLzTevYuHCkTz44IPozQM0\nUwAXFga//qq6FK1Y4div8R4oBbA6pqfEI2/yz6iKuDieSk1lkL8/b/v5qe4/9eqpf/YGrZaiy8yZ\nVk1+09LSyMnJISYmpnKvJWsigaVooterEqqJE9WYoaG255mcDMHB0KSJ8rDJy1Mtr83nf/y4EiV3\n71aGxykpsHmzMlCOiVHilsnEuZpBvNFo5Ndff2X+/Pnl52Dvmqnp9eUGUWPfvn288sortGvXjiZN\nmvDBBx/g41NJOBYXB6GhhAGFFHPBL7TU2Bjg/PkDrmszXlPCsz24aC1s2LCBpKQkmjdvzjPPPENE\nRES596/y8yv9e/CZZJ7a8xk0vNzp8QTBXYiIIwiCIAjCJYtefxtr18LVV99ATk5q2RumAO7wYfW8\nZUuVnZCU5J1Bjjnm4pG7AmFv9M+oDL2ekvh4brjxRiV05OSox7171fumLKvKzpe56JKSApMmKTHI\n4vjvvPNOrr/+ek6dOsX06dNp1qyZ9TnZKxLEx1s3U7a2v+JiJTqCKo0yP6677oIzZ1RpVmioykQy\nmScXFam17uenWpqPG1ft63nu3DmaNGlS9oIja8Zs28On/Ij59kOmfVi27fPPV2tq9uEGUWPdunWE\nh4czadIk++ewciVXTpnC+uRczg18qzQLByAz8yjR0c2rPa9y43nbfVzN75rc3FwOHDjAqlWr6NCh\nAy+99JJNcfXaW2/lpw8+IP7AQUYHNqBe+xGccc1RCIJLERFHEARBEIRLmoceOsG777anpKQErfai\neagpgDP5hGRmqkDX5BniTImVp3Gn0FIL/TOCmjcne/BgQkJCKp6bQYOqPF/Gjh1Zl53Ntt9+w7eg\ngCKtltaBgfTOzubQsmV0mzaNJUuWMGHCBP7++29uvfVWdu3aZVvEcUQksCe41uvVmlywoEx0NF2X\n5GQl4Bw8qISbc+cqfr5ePYiOhs6dXZIls3z5cuLNTZgdWTNm2+pOnOCTaS5cX5Zzr+xYXCxqTJky\nhVmzZjn2Ib2eJiNG8M/+r2hvJuBkZOzj+PGNTJr0l8vm55U4+V2zdetW1q5dS3BwMLGxsUyePJnw\n8PAqP7chK4tmvjqeCI5mrau7FgqCixARRxAEQRCESxp///oUFGRRUFBAQEBA2RumAG7QIBU4HD8O\nS5dWr8TKk7hTaKmF/hljx47ltdde48knnyw9N3Nyczl/4gRjv/qKDs2bcygri2XFxYwuKCD24vlK\nTU3l5MmTLF68mPipU5lTr57K4klIwJCVxQ8XLtC8ZUvmz59P27ZtGT58OMnJyURHR/Pqq6+yefNm\n/P39ue+++4iOji4/KVdnPgwapNZkZmb56xIXp7KPTJk3Wq3qhHThQllGTnh45eVaJkxiV2YmFBaq\n+8BKx6zDhw+XL1F0ZM2YbVus9S1XQlQtrJXEJSR4NKPM19eXjIwMGjRoYPdn0nbtIqYwm8h0Q2km\nzvnzBwkJCaFdu3bumqp34OB3TWFhIR999BHFxcU8++yzlZerWZKczOiICBJSU/lv9kmGmvkPCYI3\nISKOIAiCIAiXNr++BEDAt99ab99sCrQNBhUgW5ZYeWsWijuFFm/2z7BBq1atuHDhgnoSF0dKSQmB\n2dk83qIFywoKWPndd0RkZ/NweDhvZ2SQ+/33sHMn9erVIzo6mjlz5hAUFFS2w9at0Scno794/Cbr\n3tzcXNLT0+nQoQPvvvsuRqOR7OxsHn30UV599VXCwsLcd5C2roteD08/DY88ojLKjEbVleuxx5T5\ncfv2qh25PdcyORnS0uDUKSX+TJpUoWNWbm4uwcHBFec2c6bquGUyOl692nYGzIcf8sm0ZE51jisN\npKtdRmUpbG7c6PGMsvvvv59nn3220rKechgM+KxeTcDpTEZ8dRef3vQhaRF6WrToQ3p6Br///jud\nO3d265xrlCq+a0pKSjh79iwRERGlhsUjR44s13HKbuLiKL4o+vQICHedeCgILkZEHEEQBEEQLlna\nH0gkYOuz3KjRwsiRsGqVdSEHrJdYeWMWinl5iDuFFm/0z6gCk9nuF198QcOBA3mwUyf8rr6auyw8\nhKbac75sHH9QUJAq2bqIRqMhNDSURo0akZ+f79B8jx07xt9//12+LKkqbF2X++5Tws2qVdC4sfO+\nN8HBcOyYEj+0WiXkWBE/dDpd+c8ZDGVZL5s2mTaymgEzbRqAG9aXpbDZvz9s2eLRjLKGDRsSExPD\nnj17ymcq2SI5mWVpaYwO06MrKSztTqXT+dKjRwI9evRg27ZtxHnb95ArMVvTWVlZvPHGG+Tl5VFS\nUkJJSQkhISFkZmYSHBzMK6+8gr+/v1PDGNu35+GAAK5s1JmCIZ9IFo7gtYiIIwiCIAjCJUubQxt5\nu6SI+lpfFYxu3GhbxIGKJVbeloVizdfltttqelZeg8FgQKPRMGfOHOtZEC4SpqwFkWPHjmXTpk3c\nfvvtVj9z4sQJduzYwcmTJyksLOTgwYNERkZy6NAhx0ScyoiPr3x922OEbTKD1mhURk9RUQXx4+ef\nf+bKK68s/znzLJhdu9RrHTpYzYB5/i41j5c2xFUMpKtj1m0tq8Me02gXkpeXx759+3j00Uft+0Bc\nHL46HSV56RSHNC6XHdKt25OcPPkbAwfew/HjW+3L7PEiSkpK2Lt3Lz/++CNarZaBAwfi4+NTsewQ\n+OWXX9i9eze//fYbTzzxBK1atXLtZAwG7rzteTbv/I1bb10rAo7g1YiIIwiCIAjCJcv+lv1Ztv0V\nKC5mpTa4rMzDhK2A0VuzUGqh4bAnWb16tUfGuXDhAkVFReX8ONavX8/IkSNLnxcWFvLxxx9z+PBh\nMjIyaNu2Lddccw1XXXUVWq2Wxo0bc+rUKaZMmeKROTtkhO3jozJXCgvh9tsrbJe0bBkvmsyiTe+Z\nZ8GEhqrXrGXAGAyqQ1ZWFrdnh7L85pWkRehVKVV1zLrN72VzYdPD9/KSJUt44IEH7Bdc9HrGP/EE\ns19chO5iKZUJjUZDjx5P8+GHV3HFFffQs+czvPFGYzfN3LX89ddfvPfee1x55ZUMGDCAjIwM1q9f\nT1paGm3atCkVO/Pz85k3bx7t2rXjhhtu4I477sDPrBW4SzAY0Fx2GQDLGug50aAdaa4dwaVEphuY\ncqNay+Zd24RLBxFxBEEQBEG4ZNkTG49Oo2NumyHw6j3lsxRqWxttqJWGw3WRW265hZUrV3LHHXcA\nMGnSJLRaLS1btgTg6NGjvPjii4wZM4Y777wTrVZrNajfvHkzI0aMcO3kbAmTli3UFy2Ce++tuOYH\nDVLlhFlZSowZN67cvo8uX47fV1+h/euv8veNZRaMaUzLeSQlwf794ONDRO5p2qUklQkXzoqUXnIv\n7927lx9++IH777/foc/d89RTPPLcixwNjibA4r1Gja6kS5fHOHFiK++91545c4465LtkNBq5cOEC\ngYGBDs2puqxYsYLXXnutdN23bNmy1Ntn5cqVzJgxg86dO7Nx40buu+8+rrjiCvdNJjmZZTEx/Pvw\nYf6dYWDBke/ASzNxItMNjP3sZlh9GjQaunZ9nl+vuq+mpyV4GBFxBEEQBEG4pCk2FnPH929Akybl\n36iNWS210HC4LrJhwwZuM8v2eOKJJ9i+fTv3338/rVu3JiUlhblz51bZoahv37689957rptYZWKG\nSQBMSVHm3WvXwmefwb//Xd4/R6+HlSsrrrGL+359925mFBaqLm6Wxt+WWS9VrE9/PxgyBIZMovwc\nHRUpveRefuGFF5g0aVLVG1qg0Wjw9w8nJ+c0AQH1K7zfr9/LAHz00fXcfvvtJCYm2rXfc+fOMX/+\nfPLz88nPz2fMmDF07drV4fk5yunTpwkKCrKZjTRq1CgGDx7Mrl27eOaZZ4iIiHDvhOLiuD06mqOF\nhUw9cYLDwY3xde+ITtPjt5eJOru39PmQ/z3C+XrN2RPropJLoVYgIo4gCIIgCJcsWVknAGjc2EoJ\nQm3NavHWUq9LiPz8fC67WJ4B0LRpU5o2bUqvXr0oLi62OyiNiIggIyPDdROrTMwwCYCLFikBJy0N\nsrNh3jx480144QVljmza1nKNJSXB6dMEhIQQeu6cEoKiohy/bywzfQYNKnvPWZHSS+7lBg0acPXV\nVzv12VZNghjTbAXbj42y6ddyyy2f8+abTcnKyiLUVLJmg7Nnz3Lvvffy1FNP0alTJ44fP87s2bP5\n+eefmTBhAvXq1XNqnvZw/Pjx0qw0W9SrV49u3bq5bQ7luLiuwl95BRYtQht7k2fGdZDIdANx/6ws\n95rWWESbQxtFxLnEEBFHEARBEIRLlvPnDwLYNrmVrBbBQX7++Wc6duxo9b369StmUVRGhQ5P1cWK\nmHHhwgXefvttUlNTOXXqFAvi4wn96CMl4BiN6nOZmfDQQ6q7lTVjZINBCS+pqQQVFnKoWTNaPvqo\nEmCcMR+2lulj/r4rDI1rgFOnTjF37lxmzJjh2AffeYf+R4/y9auv8kDg16Vtxv/44y2ys0+V29Ro\nhISEBIKCgirsJi0tjYKCArp3787mzZt54403iIqKApTQuGjRIg4dOsRzzz3H0KFD6d69u80pFRcX\n8+STT1JcXExoaCh///03ixcvrlT8MRqNLFiwgFOnTvHEE084dg4cxVEDbL2eN7ZtA0Cn8848nHYp\nSQQUZpV7TYuRPH/7y+eEuoGIOIIgCIIgXLLUqxdT+QaS1SI4yPr163nmmWcqvuFkV6UuXbowY8YM\nJk6cSGRkZPUmZ0XMyDt7ljNnzvDcc8+x/umnMdx/P9ecPVsm4JgoLoaXX4acHOt+OjoddO3KIwcP\nMq9tW2Y7UTZUbp6uvu+84F5eunQps2bNcuxDiYkwcSI98/OZn5vL45wpbTOek3OaHj1modFoSzf/\n669FPPzww8TEVPxuy83N5a+//iIwMJCxY8eWM9420bJlS2bMmMEbb7xB9+7dKSkp4eDBgxQUFNC+\nfXu0Wi3FxcUkJCQwfvx4YmNjMRqNnDt3junTp3PPPfdw2WWX4ePjQ3FxMX5+fmzdupU1a9ZgNBoZ\nMWKE+0u2nPRA2rdvHwBGY0m5c+ottElJQkP5+9IINEn9s2YmJNQYIuIIgiAIgnDJEhzcCIDHH7/A\n/PmWlqGCy6hOW+haRufOnfntt9/Kl4JUw1h39OjRnDp1ilmzZjFp0iRWrVpFv379nC81sRAzjh07\nRlhYGJo9e4hatIjU9HTbn92xA+bOte2nk5lJUHQ06Q0bOje3msKD69MkgtidZbVqFeeLi3kbaAH4\nFeaUthk3GkvKbVpYmEdx8TmbYl9QUJBd6yYkJIQjR44wffp0tFotTZs2paioiCVLlhAUFMSpU6eY\nMGECerNzFRUVxXPPPceGDRtYu3YtFy5cIDs7m/DwcPz9/Xn++ec91wLdSQ+k3NxcAIqK8vH19azR\nsz20OLGtwmsaIPbwd0SmG6Qt+iWEiDiCIAiCIFyymNLm8/PPQ4W+L4JL8JLOQJ4iNjaWffv2lQ+W\nq2msGx0dzb/+9S8WLlzIlClT+Pzzz9myZQtRUVFoNBrGjBnj9HxXrVpFQkICfPopEUYjWwCbjiAN\nGlTup3NRCGn/v/+xfft2unTp4vS8PIaH12do6P+zd+ZhUZXtH/+cmWFfZRHUFBSX0SJTc23RSn8v\nUraapbb5ptarvWlmLr2mZpa2GdpuWVpZrllZiGZmmeWWlrgMhrjhAigg+8Aw8/vjYWAYBhj2GXw+\n18UFc+bMOc855zkP83zPfX9vH3JycuyrIKXTUbBzJ/8yGGgLvKu4sPWGuaQFajEY9BiNRRUiRgoL\nC3F3r9tYpigK7733XoXlJ0+epGXLljZTtUCkC44YMaLcshoJVvVFLT2QzF5CaWnxtG7d8AbPNUUx\nFdtc7lZ4mRv3LGLD0KWN3CJJU+F4cWISiUQikUgkjURmZhKBgYHExDhZ5IAzYSlgFBWJ180YV1dX\ncnJyyi+sB2Pd6Oho3n77bcLDw5kyZUppJSFFUZg1axYm6/SnGqAoCkRG0jEkhPYaDTOBy9Yr9egB\nwcGVH4NWC/ffD1otEydOZMmSJSQlJdW6TY1GI/fP8+fP228aHBfHruxsstTufOwRzF99ni0tJ33g\nwPtERo4pt/rp0z/Ts2dPVKqGmeKFh4dXKuBURqMLOFAmKs6YUSNRztvbG4BffpnecG2rA6fbDAAo\nl1CllPxck7CW4Eu6pmiWpAmQkTgSiUQikUiuWFJTD9K9e/emmWjUFWdJUXKQykCNxbZt2xg1alT5\nhQ1grBsSEkJISAhdunRhz549vPDCC2g0GkwmE/n5+YSFhXHmzBkUReGuu+6iX79+FbaxefNmQkJC\nytq4ejV3x8UxICmJV375hajERG4pLobAQPjyS7GeHcegUqmYP38+L7zwAsOHD2fYsGF1Pt4Go5H7\np7e3N/n5+dWLIbGx6Bct4oWUVNooCjnerdgf+SgAly4lYDQaCAjoXO4jf/zxMnPmjG+opjsX1Xkg\nVTJ+du/eHZMpohEaWHN+GBxDu8/64V54GSMKKgs5p1jtVuqVJKkdhYU5/P77S/TtOw0PjwYua19H\npIgjkUgkEonkiuWPP+Yzbdroxt9xbQUY8+e8vGDePOdIUXKQykCNRUFBAR4eNvw0GtBYt0+fPuXM\nYvPz80lNTaV169ZoNBref/99vv/+e0wmE+3atePQoUP4+fkRGRnJU089VaGNLYFXgWcefZSB0dGo\nuncvnzplB+3atWP58uXExMTw7LPPctddd3HzzTfX30HXF43cPwsLC6sXcHQ6mDyZNRcuoFcUvvAM\nYX/kGNICtRiNBv78cwlhYbfy449P0dWvPa3yLxLQ5QFSUvbw2GPbG7T9zYIqUugmTZrEv//9b/r3\nfx5//w5N2kxr0gK1rL7zS+7YOgkw4Zd1BrWpGKNKQ45XSKlXkqTmGI0G3nrLB4Ddu1/jjbFHHVoQ\nkyKORCKRSCSSKxK9/jLp6fFMmDChcXdcWw8Oy89lZ4uogYiIMn8SgLg48bs2pZ0bEgeoDFRjaim0\n6fV63NzcGrBh1ePh4VGuOpFlH//xxx8ZM2YMrq6u1W5HO2AAZwcMoG3btrVqh6IoPPPMMxiNRiZM\nmEBYWJjNqklNTiP1z9OnTxMQEFD9ivHxnDAaeaSoiB/Vrni6eHGsQxQABw9+QvfuYykszKY44zip\nh1cSpFKz6a8Yrg0Lw8XFMctjOxRVeFT9/PPPAHh6hjRlCyslISKadP8OhKbFU+jiRVD6MQCOdYiy\nW3QIvqSjc1JcjT/XXCkqymfRovLCqvab++HutQ57bqSII5FIJBKJ5Irk8OGVXHfddY0/4TZPIPz8\n4NQpIbxUN4HU6WDpUsjKEsJNUhJkZsKePeDvLyJzHngAEhPF+p9+CqtXO59w4ijUwey2uLi4Yulm\nB0p9GzJkiN3r3nPPPSxfvpxp06bVaZ8qlYolS5bwzDPPsGjRohrdc/n5+RgMBnx8fOrUBkfg6NGj\n9pXX9vJib2Ymfij09GrFt4MXkxaoRa+/THZ2MtddJ1Km+l88ysGMXXyZeYk+isL3JpPoa/K+r5oq\nUuiGDBnC+vVxuLp6NWEDqyYtUFsqLiRERNv9ueBLOnoeWkHvAx/iUXgZk0nhpt2vs2HoRzXaTnPj\n2LGvS/8OBtKAtRmJ3JcU57AijjQ2lkgkEolEckVy4MD7zJ8/v2F3otPB2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4ZGsPVNcnIy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y7Pvvw+bNYsUdO4SAYy4t3qZN+b5ZnVeX5bjs5SVSqsyRN+b7a+xYcT+pVODhIcbqmTNFxA4w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\ngZObK2m8utlyeLi9clphoaT3gozJggJ5vXlzu0AF8t1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kWfd2uAT4888/GVob/dgd3jR1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asFjEbgwgUaY670LWv3lxtusF4SHGge/WMp8Nu7TwkiVGkp/Z07R+ciIBKhTCRCmFTm/Pl0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\n+P+YLtsm5vavawAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a19d007f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "\n",
    "lat = df_vectors['Lat'].values\n",
    "long = df_vectors['Long'].values\n",
    "\n",
    "# determine range to print based on min, max lat and long of the data\n",
    "margin = .2 # buffer to add to the range\n",
    "lat_min = min(lat) - margin\n",
    "lat_max = max(lat) + margin\n",
    "long_min = min(long) - margin\n",
    "long_max = max(long) + margin\n",
    "\n",
    "# create map using BASEMAP\n",
    "m = Basemap(llcrnrlon=long_min,\n",
    "            llcrnrlat=lat_min,\n",
    "            urcrnrlon=long_max,\n",
    "            urcrnrlat=lat_max,\n",
    "            lat_0=(lat_max - lat_min)/2,\n",
    "            lon_0=(long_max-long_min)/2,\n",
    "            projection='merc',\n",
    "            resolution = 'h',\n",
    "            area_thresh=10000.,\n",
    "            )\n",
    "m.drawlsmask(land_color = \"white\", \n",
    "               ocean_color=\"#7777ff\",\n",
    "               resolution = 'l')\n",
    "m.drawcoastlines()\n",
    "m.drawcountries()\n",
    "m.drawstates()\n",
    "lons, lats = m(long, lat)\n",
    "# plot points as red dots\n",
    "m.scatter(lons, lats, marker = '.', color = 'red',alpha=0.7)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GHO (CODE)</th>\n",
       "      <th>GHO (DISPLAY)</th>\n",
       "      <th>GHO (URL)</th>\n",
       "      <th>PUBLISHSTATE (CODE)</th>\n",
       "      <th>PUBLISHSTATE (DISPLAY)</th>\n",
       "      <th>PUBLISHSTATE (URL)</th>\n",
       "      <th>YEAR (CODE)</th>\n",
       "      <th>YEAR (DISPLAY)</th>\n",
       "      <th>YEAR (URL)</th>\n",
       "      <th>REGION (CODE)</th>\n",
       "      <th>REGION (DISPLAY)</th>\n",
       "      <th>REGION (URL)</th>\n",
       "      <th>COUNTRY (CODE)</th>\n",
       "      <th>COUNTRY (DISPLAY)</th>\n",
       "      <th>COUNTRY (URL)</th>\n",
       "      <th>Display Value</th>\n",
       "      <th>Numeric</th>\n",
       "      <th>Low</th>\n",
       "      <th>High</th>\n",
       "      <th>Comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IR_PYRETHROID_PRESENCE</td>\n",
       "      <td>Pyrethroid resistance reported for at least on...</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SEAR</td>\n",
       "      <td>South-East Asia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BGD</td>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>IR_PYRETHROID_PRESENCE</td>\n",
       "      <td>Pyrethroid resistance reported for at least on...</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BEN</td>\n",
       "      <td>Benin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IR_PYRETHROID_PRESENCE</td>\n",
       "      <td>Pyrethroid resistance reported for at least on...</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2011</td>\n",
       "      <td>2011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GHA</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IR_PYRETHROID_PRESENCE</td>\n",
       "      <td>Pyrethroid resistance reported for at least on...</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KEN</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IR_PYRETHROID_PRESENCE</td>\n",
       "      <td>Pyrethroid resistance reported for at least on...</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TGO</td>\n",
       "      <td>Togo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</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": [
       "               GHO (CODE)                                      GHO (DISPLAY)  \\\n",
       "0  IR_PYRETHROID_PRESENCE  Pyrethroid resistance reported for at least on...   \n",
       "1  IR_PYRETHROID_PRESENCE  Pyrethroid resistance reported for at least on...   \n",
       "2  IR_PYRETHROID_PRESENCE  Pyrethroid resistance reported for at least on...   \n",
       "3  IR_PYRETHROID_PRESENCE  Pyrethroid resistance reported for at least on...   \n",
       "4  IR_PYRETHROID_PRESENCE  Pyrethroid resistance reported for at least on...   \n",
       "\n",
       "                                           GHO (URL) PUBLISHSTATE (CODE)  \\\n",
       "0  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "1  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "2  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "3  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "4  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "\n",
       "  PUBLISHSTATE (DISPLAY)  PUBLISHSTATE (URL)  YEAR (CODE)  YEAR (DISPLAY)  \\\n",
       "0              Published                 NaN         2012            2012   \n",
       "1              Published                 NaN         2012            2012   \n",
       "2              Published                 NaN         2011            2011   \n",
       "3              Published                 NaN         2009            2009   \n",
       "4              Published                 NaN         2009            2009   \n",
       "\n",
       "   YEAR (URL) REGION (CODE) REGION (DISPLAY)  REGION (URL) COUNTRY (CODE)  \\\n",
       "0         NaN          SEAR  South-East Asia           NaN            BGD   \n",
       "1         NaN           AFR           Africa           NaN            BEN   \n",
       "2         NaN           AFR           Africa           NaN            GHA   \n",
       "3         NaN           AFR           Africa           NaN            KEN   \n",
       "4         NaN           AFR           Africa           NaN            TGO   \n",
       "\n",
       "  COUNTRY (DISPLAY)  COUNTRY (URL) Display Value  Numeric  Low  High  Comments  \n",
       "0        Bangladesh            NaN           Yes      NaN  NaN   NaN       NaN  \n",
       "1             Benin            NaN           Yes      NaN  NaN   NaN       NaN  \n",
       "2             Ghana            NaN           Yes      NaN  NaN   NaN       NaN  \n",
       "3             Kenya            NaN           Yes      NaN  NaN   NaN       NaN  \n",
       "4              Togo            NaN           Yes      NaN  NaN   NaN       NaN  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_insecticide_resistance.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6180 entries, 0 to 6179\n",
      "Data columns (total 20 columns):\n",
      "GHO (CODE)                6180 non-null object\n",
      "GHO (DISPLAY)             6180 non-null object\n",
      "GHO (URL)                 6180 non-null object\n",
      "PUBLISHSTATE (CODE)       6180 non-null object\n",
      "PUBLISHSTATE (DISPLAY)    6180 non-null object\n",
      "PUBLISHSTATE (URL)        0 non-null float64\n",
      "YEAR (CODE)               6180 non-null int64\n",
      "YEAR (DISPLAY)            6180 non-null int64\n",
      "YEAR (URL)                0 non-null float64\n",
      "REGION (CODE)             6180 non-null object\n",
      "REGION (DISPLAY)          6180 non-null object\n",
      "REGION (URL)              0 non-null float64\n",
      "COUNTRY (CODE)            6180 non-null object\n",
      "COUNTRY (DISPLAY)         6180 non-null object\n",
      "COUNTRY (URL)             0 non-null float64\n",
      "Display Value             6180 non-null object\n",
      "Numeric                   0 non-null float64\n",
      "Low                       0 non-null float64\n",
      "High                      0 non-null float64\n",
      "Comments                  0 non-null float64\n",
      "dtypes: float64(8), int64(2), object(10)\n",
      "memory usage: 965.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df_insecticide_resistance.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 17714 entries, 0 to 17713\n",
      "Data columns (total 23 columns):\n",
      "GHO (CODE)                        17714 non-null object\n",
      "GHO (DISPLAY)                     17714 non-null object\n",
      "GHO (URL)                         17714 non-null object\n",
      "PUBLISHSTATE (CODE)               17714 non-null object\n",
      "PUBLISHSTATE (DISPLAY)            17714 non-null object\n",
      "PUBLISHSTATE (URL)                0 non-null float64\n",
      "YEAR (CODE)                       17714 non-null object\n",
      "YEAR (DISPLAY)                    17714 non-null object\n",
      "YEAR (URL)                        0 non-null float64\n",
      "REGION (CODE)                     17714 non-null object\n",
      "REGION (DISPLAY)                  17714 non-null object\n",
      "REGION (URL)                      0 non-null float64\n",
      "WORLDBANKINCOMEGROUP (CODE)       15247 non-null object\n",
      "WORLDBANKINCOMEGROUP (DISPLAY)    15247 non-null object\n",
      "WORLDBANKINCOMEGROUP (URL)        0 non-null float64\n",
      "COUNTRY (CODE)                    17714 non-null object\n",
      "COUNTRY (DISPLAY)                 17714 non-null object\n",
      "COUNTRY (URL)                     0 non-null float64\n",
      "Display Value                     17714 non-null object\n",
      "Numeric                           17664 non-null float64\n",
      "Low                               0 non-null float64\n",
      "High                              0 non-null float64\n",
      "Comments                          0 non-null float64\n",
      "dtypes: float64(9), object(14)\n",
      "memory usage: 3.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df_population_stat.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>GHO (CODE)</th>\n",
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       "      <th>Display Value</th>\n",
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       "      <th>Low</th>\n",
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       "      <th>Comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>WHS9_88</td>\n",
       "      <td>Population median age (years)</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EUR</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Albania</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.56</td>\n",
       "      <td>32.56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>WHS9_88</td>\n",
       "      <td>Population median age (years)</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Angola</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.18</td>\n",
       "      <td>16.18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>WHS9_88</td>\n",
       "      <td>Population median age (years)</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SEAR</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BTN</td>\n",
       "      <td>Bhutan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.29</td>\n",
       "      <td>25.29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>WHS9_88</td>\n",
       "      <td>Population median age (years)</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EUR</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BIH</td>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.23</td>\n",
       "      <td>39.23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>WHS9_88</td>\n",
       "      <td>Population median age (years)</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AMR</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>COL</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.4</td>\n",
       "      <td>27.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
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      "text/plain": [
       "  GHO (CODE)                  GHO (DISPLAY)  \\\n",
       "0    WHS9_88  Population median age (years)   \n",
       "1    WHS9_88  Population median age (years)   \n",
       "2    WHS9_88  Population median age (years)   \n",
       "3    WHS9_88  Population median age (years)   \n",
       "4    WHS9_88  Population median age (years)   \n",
       "\n",
       "                                           GHO (URL) PUBLISHSTATE (CODE)  \\\n",
       "0  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "1  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "2  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "3  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "4  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "\n",
       "  PUBLISHSTATE (DISPLAY)  PUBLISHSTATE (URL) YEAR (CODE) YEAR (DISPLAY)  \\\n",
       "0              Published                 NaN        2012           2012   \n",
       "1              Published                 NaN        2012           2012   \n",
       "2              Published                 NaN        2012           2012   \n",
       "3              Published                 NaN        2012           2012   \n",
       "4              Published                 NaN        2012           2012   \n",
       "\n",
       "   YEAR (URL) REGION (CODE)    ...    WORLDBANKINCOMEGROUP (DISPLAY)  \\\n",
       "0         NaN           EUR    ...                               NaN   \n",
       "1         NaN           AFR    ...                               NaN   \n",
       "2         NaN          SEAR    ...                               NaN   \n",
       "3         NaN           EUR    ...                               NaN   \n",
       "4         NaN           AMR    ...                               NaN   \n",
       "\n",
       "   WORLDBANKINCOMEGROUP (URL) COUNTRY (CODE)       COUNTRY (DISPLAY)  \\\n",
       "0                         NaN            ALB                 Albania   \n",
       "1                         NaN            AGO                  Angola   \n",
       "2                         NaN            BTN                  Bhutan   \n",
       "3                         NaN            BIH  Bosnia and Herzegovina   \n",
       "4                         NaN            COL                Colombia   \n",
       "\n",
       "   COUNTRY (URL) Display Value Numeric  Low High  Comments  \n",
       "0            NaN         32.56   32.56  NaN  NaN       NaN  \n",
       "1            NaN         16.18   16.18  NaN  NaN       NaN  \n",
       "2            NaN         25.29   25.29  NaN  NaN       NaN  \n",
       "3            NaN         39.23   39.23  NaN  NaN       NaN  \n",
       "4            NaN          27.4   27.40  NaN  NaN       NaN  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_population_stat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1408 entries, 0 to 1407\n",
      "Data columns (total 20 columns):\n",
      "GHO (CODE)                1408 non-null object\n",
      "GHO (DISPLAY)             1408 non-null object\n",
      "GHO (URL)                 1408 non-null object\n",
      "PUBLISHSTATE (CODE)       1408 non-null object\n",
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      "YEAR (CODE)               1408 non-null int64\n",
      "YEAR (DISPLAY)            1408 non-null int64\n",
      "YEAR (URL)                0 non-null float64\n",
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      "REGION (URL)              0 non-null float64\n",
      "COUNTRY (CODE)            1408 non-null object\n",
      "COUNTRY (DISPLAY)         1408 non-null object\n",
      "COUNTRY (URL)             0 non-null float64\n",
      "Display Value             1408 non-null object\n",
      "Numeric                   1408 non-null float64\n",
      "Low                       0 non-null float64\n",
      "High                      0 non-null float64\n",
      "Comments                  0 non-null float64\n",
      "dtypes: float64(8), int64(2), object(10)\n",
      "memory usage: 220.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df_reported_deaths.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>COUNTRY (CODE)</th>\n",
       "      <th>COUNTRY (DISPLAY)</th>\n",
       "      <th>COUNTRY (URL)</th>\n",
       "      <th>Display Value</th>\n",
       "      <th>Numeric</th>\n",
       "      <th>Low</th>\n",
       "      <th>High</th>\n",
       "      <th>Comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MALARIA001</td>\n",
       "      <td>Malaria - number of reported deaths</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DZA</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MALARIA001</td>\n",
       "      <td>Malaria - number of reported deaths</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DZA</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MALARIA001</td>\n",
       "      <td>Malaria - number of reported deaths</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014</td>\n",
       "      <td>2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DZA</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MALARIA001</td>\n",
       "      <td>Malaria - number of reported deaths</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2001</td>\n",
       "      <td>2001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CPV</td>\n",
       "      <td>Cabo Verde</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MALARIA001</td>\n",
       "      <td>Malaria - number of reported deaths</td>\n",
       "      <td>http://apps.who.int/gho/indicatorregistry/App_...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CPV</td>\n",
       "      <td>Cabo Verde</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   GHO (CODE)                        GHO (DISPLAY)  \\\n",
       "0  MALARIA001  Malaria - number of reported deaths   \n",
       "1  MALARIA001  Malaria - number of reported deaths   \n",
       "2  MALARIA001  Malaria - number of reported deaths   \n",
       "3  MALARIA001  Malaria - number of reported deaths   \n",
       "4  MALARIA001  Malaria - number of reported deaths   \n",
       "\n",
       "                                           GHO (URL) PUBLISHSTATE (CODE)  \\\n",
       "0  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "1  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "2  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "3  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "4  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "\n",
       "  PUBLISHSTATE (DISPLAY)  PUBLISHSTATE (URL)  YEAR (CODE)  YEAR (DISPLAY)  \\\n",
       "0              Published                 NaN         2008            2008   \n",
       "1              Published                 NaN         2012            2012   \n",
       "2              Published                 NaN         2014            2014   \n",
       "3              Published                 NaN         2001            2001   \n",
       "4              Published                 NaN         2013            2013   \n",
       "\n",
       "   YEAR (URL) REGION (CODE) REGION (DISPLAY)  REGION (URL) COUNTRY (CODE)  \\\n",
       "0         NaN           AFR           Africa           NaN            DZA   \n",
       "1         NaN           AFR           Africa           NaN            DZA   \n",
       "2         NaN           AFR           Africa           NaN            DZA   \n",
       "3         NaN           AFR           Africa           NaN            CPV   \n",
       "4         NaN           AFR           Africa           NaN            CPV   \n",
       "\n",
       "  COUNTRY (DISPLAY)  COUNTRY (URL) Display Value  Numeric  Low  High  Comments  \n",
       "0           Algeria            NaN             0      0.0  NaN   NaN       NaN  \n",
       "1           Algeria            NaN             0      0.0  NaN   NaN       NaN  \n",
       "2           Algeria            NaN             0      0.0  NaN   NaN       NaN  \n",
       "3        Cabo Verde            NaN             0      0.0  NaN   NaN       NaN  \n",
       "4        Cabo Verde            NaN             0      0.0  NaN   NaN       NaN  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reported_deaths.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_reported_deaths = df_reported_deaths.rename(columns={'COUNTRY (DISPLAY)': 'Country'})\n",
    "df_vectors_death = pd.merge(df_vectors, df_reported_deaths, on = 'Country')\n",
    "df_vectors_death = df_vectors_death.drop_duplicates()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'DataFrame' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-41-51e645619b5c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf_reported_deaths\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_reported_deaths\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCountry\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'GHO (CODE)'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreset_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: 'DataFrame' object is not callable"
     ]
    }
   ],
   "source": [
    "a = df_reported_deaths(df_reported_deaths.Country)['GHO (CODE)'].count().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'method' object is not subscriptable",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-87-ae2a486ef173>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf_1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf_vectors_death\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Country'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Display Value'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Country'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreset_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: 'method' object is not subscriptable"
     ]
    }
   ],
   "source": [
    "df_1 = df_vectors_death[['Country', 'Display Value']].groupby['Country'].sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>GAUL_Admin1</th>\n",
       "      <th>GAUL_Admin2</th>\n",
       "      <th>Full_Name</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>LatLong_Source</th>\n",
       "      <th>YeStart</th>\n",
       "      <th>YeEnd</th>\n",
       "      <th>An gambiae_complex</th>\n",
       "      <th>...</th>\n",
       "      <th>REGION (CODE)</th>\n",
       "      <th>REGION (DISPLAY)</th>\n",
       "      <th>REGION (URL)</th>\n",
       "      <th>COUNTRY (CODE)</th>\n",
       "      <th>COUNTRY (URL)</th>\n",
       "      <th>Display Value</th>\n",
       "      <th>Numeric</th>\n",
       "      <th>Low</th>\n",
       "      <th>High</th>\n",
       "      <th>Comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10 220</td>\n",
       "      <td>10220.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10 530</td>\n",
       "      <td>10530.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12 459</td>\n",
       "      <td>12459.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13 768</td>\n",
       "      <td>13768.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14 434</td>\n",
       "      <td>14434.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38 598</td>\n",
       "      <td>38598.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 714</td>\n",
       "      <td>5714.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 736</td>\n",
       "      <td>5736.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6 909</td>\n",
       "      <td>6909.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7 300</td>\n",
       "      <td>7300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8 114</td>\n",
       "      <td>8114.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9 465</td>\n",
       "      <td>9465.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9 473</td>\n",
       "      <td>9473.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9 510</td>\n",
       "      <td>9510.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Barra do Dande</td>\n",
       "      <td>-8.4730</td>\n",
       "      <td>13.3620</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9 812</td>\n",
       "      <td>9812.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10 220</td>\n",
       "      <td>10220.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10 530</td>\n",
       "      <td>10530.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12 459</td>\n",
       "      <td>12459.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13 768</td>\n",
       "      <td>13768.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14 434</td>\n",
       "      <td>14434.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38 598</td>\n",
       "      <td>38598.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 714</td>\n",
       "      <td>5714.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 736</td>\n",
       "      <td>5736.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6 909</td>\n",
       "      <td>6909.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7 300</td>\n",
       "      <td>7300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8 114</td>\n",
       "      <td>8114.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9 465</td>\n",
       "      <td>9465.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9 473</td>\n",
       "      <td>9473.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9 510</td>\n",
       "      <td>9510.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Angola</td>\n",
       "      <td>Bengo</td>\n",
       "      <td>Dande</td>\n",
       "      <td>Boa Vista</td>\n",
       "      <td>-8.5990</td>\n",
       "      <td>13.5660</td>\n",
       "      <td>Encarta</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AGO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9 812</td>\n",
       "      <td>9812.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162323</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Gweru</td>\n",
       "      <td>Gwelo</td>\n",
       "      <td>-19.4683</td>\n",
       "      <td>29.8122</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>401</td>\n",
       "      <td>401.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162324</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Gweru</td>\n",
       "      <td>Gwelo</td>\n",
       "      <td>-19.4683</td>\n",
       "      <td>29.8122</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>406</td>\n",
       "      <td>406.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162325</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Gweru</td>\n",
       "      <td>Gwelo</td>\n",
       "      <td>-19.4683</td>\n",
       "      <td>29.8122</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>451</td>\n",
       "      <td>451.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162326</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Gweru</td>\n",
       "      <td>Gwelo</td>\n",
       "      <td>-19.4683</td>\n",
       "      <td>29.8122</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>802</td>\n",
       "      <td>802.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162327</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 044</td>\n",
       "      <td>1044.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162328</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 809</td>\n",
       "      <td>1809.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162329</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 844</td>\n",
       "      <td>1844.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162330</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 916</td>\n",
       "      <td>1916.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162331</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108</td>\n",
       "      <td>108.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162332</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>232</td>\n",
       "      <td>232.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162333</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>255</td>\n",
       "      <td>255.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162334</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>351</td>\n",
       "      <td>351.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162335</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>352</td>\n",
       "      <td>352.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162336</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>401</td>\n",
       "      <td>401.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162337</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>406</td>\n",
       "      <td>406.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162338</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>451</td>\n",
       "      <td>451.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162339</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>Kwekwe</td>\n",
       "      <td>-18.9201</td>\n",
       "      <td>29.8237</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1940</td>\n",
       "      <td>2002</td>\n",
       "      <td>Y</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>802</td>\n",
       "      <td>802.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162340</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 044</td>\n",
       "      <td>1044.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162341</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 809</td>\n",
       "      <td>1809.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162342</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 844</td>\n",
       "      <td>1844.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162343</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 916</td>\n",
       "      <td>1916.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162344</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108</td>\n",
       "      <td>108.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162345</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>232</td>\n",
       "      <td>232.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162346</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>255</td>\n",
       "      <td>255.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162347</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>351</td>\n",
       "      <td>351.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162348</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>352</td>\n",
       "      <td>352.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162349</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>401</td>\n",
       "      <td>401.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162350</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>406</td>\n",
       "      <td>406.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162351</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>451</td>\n",
       "      <td>451.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162352</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Midlands</td>\n",
       "      <td>Mberengwa</td>\n",
       "      <td>Belingwe Reserve</td>\n",
       "      <td>-20.5495</td>\n",
       "      <td>29.9132</td>\n",
       "      <td>Google Earth</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>AFR</td>\n",
       "      <td>Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>802</td>\n",
       "      <td>802.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>162353 rows × 60 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country GAUL_Admin1 GAUL_Admin2         Full_Name      Lat     Long  \\\n",
       "0         Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "1         Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "2         Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "3         Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "4         Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "5         Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "6         Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "7         Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "8         Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "9         Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "10        Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "11        Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "12        Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "13        Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "14        Angola       Bengo       Dande    Barra do Dande  -8.4730  13.3620   \n",
       "15        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "16        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "17        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "18        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "19        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "20        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "21        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "22        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "23        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "24        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "25        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "26        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "27        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "28        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "29        Angola       Bengo       Dande         Boa Vista  -8.5990  13.5660   \n",
       "...          ...         ...         ...               ...      ...      ...   \n",
       "162323  Zimbabwe    Midlands       Gweru             Gwelo -19.4683  29.8122   \n",
       "162324  Zimbabwe    Midlands       Gweru             Gwelo -19.4683  29.8122   \n",
       "162325  Zimbabwe    Midlands       Gweru             Gwelo -19.4683  29.8122   \n",
       "162326  Zimbabwe    Midlands       Gweru             Gwelo -19.4683  29.8122   \n",
       "162327  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162328  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162329  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162330  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162331  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162332  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162333  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162334  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162335  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162336  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162337  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162338  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162339  Zimbabwe    Midlands      Kwekwe            Kwekwe -18.9201  29.8237   \n",
       "162340  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162341  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162342  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162343  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162344  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162345  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162346  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162347  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162348  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162349  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162350  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162351  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "162352  Zimbabwe    Midlands   Mberengwa  Belingwe Reserve -20.5495  29.9132   \n",
       "\n",
       "       LatLong_Source  YeStart  YeEnd An gambiae_complex   ...     \\\n",
       "0             Encarta     1967   1967                  Y   ...      \n",
       "1             Encarta     1967   1967                  Y   ...      \n",
       "2             Encarta     1967   1967                  Y   ...      \n",
       "3             Encarta     1967   1967                  Y   ...      \n",
       "4             Encarta     1967   1967                  Y   ...      \n",
       "5             Encarta     1967   1967                  Y   ...      \n",
       "6             Encarta     1967   1967                  Y   ...      \n",
       "7             Encarta     1967   1967                  Y   ...      \n",
       "8             Encarta     1967   1967                  Y   ...      \n",
       "9             Encarta     1967   1967                  Y   ...      \n",
       "10            Encarta     1967   1967                  Y   ...      \n",
       "11            Encarta     1967   1967                  Y   ...      \n",
       "12            Encarta     1967   1967                  Y   ...      \n",
       "13            Encarta     1967   1967                  Y   ...      \n",
       "14            Encarta     1967   1967                  Y   ...      \n",
       "15            Encarta     1987   1987                  Y   ...      \n",
       "16            Encarta     1987   1987                  Y   ...      \n",
       "17            Encarta     1987   1987                  Y   ...      \n",
       "18            Encarta     1987   1987                  Y   ...      \n",
       "19            Encarta     1987   1987                  Y   ...      \n",
       "20            Encarta     1987   1987                  Y   ...      \n",
       "21            Encarta     1987   1987                  Y   ...      \n",
       "22            Encarta     1987   1987                  Y   ...      \n",
       "23            Encarta     1987   1987                  Y   ...      \n",
       "24            Encarta     1987   1987                  Y   ...      \n",
       "25            Encarta     1987   1987                  Y   ...      \n",
       "26            Encarta     1987   1987                  Y   ...      \n",
       "27            Encarta     1987   1987                  Y   ...      \n",
       "28            Encarta     1987   1987                  Y   ...      \n",
       "29            Encarta     1987   1987                  Y   ...      \n",
       "...               ...      ...    ...                ...   ...      \n",
       "162323   Google Earth     1940   1956                NaN   ...      \n",
       "162324   Google Earth     1940   1956                NaN   ...      \n",
       "162325   Google Earth     1940   1956                NaN   ...      \n",
       "162326   Google Earth     1940   1956                NaN   ...      \n",
       "162327   Google Earth     1940   2002                  Y   ...      \n",
       "162328   Google Earth     1940   2002                  Y   ...      \n",
       "162329   Google Earth     1940   2002                  Y   ...      \n",
       "162330   Google Earth     1940   2002                  Y   ...      \n",
       "162331   Google Earth     1940   2002                  Y   ...      \n",
       "162332   Google Earth     1940   2002                  Y   ...      \n",
       "162333   Google Earth     1940   2002                  Y   ...      \n",
       "162334   Google Earth     1940   2002                  Y   ...      \n",
       "162335   Google Earth     1940   2002                  Y   ...      \n",
       "162336   Google Earth     1940   2002                  Y   ...      \n",
       "162337   Google Earth     1940   2002                  Y   ...      \n",
       "162338   Google Earth     1940   2002                  Y   ...      \n",
       "162339   Google Earth     1940   2002                  Y   ...      \n",
       "162340   Google Earth     1956   1956                NaN   ...      \n",
       "162341   Google Earth     1956   1956                NaN   ...      \n",
       "162342   Google Earth     1956   1956                NaN   ...      \n",
       "162343   Google Earth     1956   1956                NaN   ...      \n",
       "162344   Google Earth     1956   1956                NaN   ...      \n",
       "162345   Google Earth     1956   1956                NaN   ...      \n",
       "162346   Google Earth     1956   1956                NaN   ...      \n",
       "162347   Google Earth     1956   1956                NaN   ...      \n",
       "162348   Google Earth     1956   1956                NaN   ...      \n",
       "162349   Google Earth     1956   1956                NaN   ...      \n",
       "162350   Google Earth     1956   1956                NaN   ...      \n",
       "162351   Google Earth     1956   1956                NaN   ...      \n",
       "162352   Google Earth     1956   1956                NaN   ...      \n",
       "\n",
       "       REGION (CODE) REGION (DISPLAY) REGION (URL) COUNTRY (CODE)  \\\n",
       "0                AFR           Africa          NaN            AGO   \n",
       "1                AFR           Africa          NaN            AGO   \n",
       "2                AFR           Africa          NaN            AGO   \n",
       "3                AFR           Africa          NaN            AGO   \n",
       "4                AFR           Africa          NaN            AGO   \n",
       "5                AFR           Africa          NaN            AGO   \n",
       "6                AFR           Africa          NaN            AGO   \n",
       "7                AFR           Africa          NaN            AGO   \n",
       "8                AFR           Africa          NaN            AGO   \n",
       "9                AFR           Africa          NaN            AGO   \n",
       "10               AFR           Africa          NaN            AGO   \n",
       "11               AFR           Africa          NaN            AGO   \n",
       "12               AFR           Africa          NaN            AGO   \n",
       "13               AFR           Africa          NaN            AGO   \n",
       "14               AFR           Africa          NaN            AGO   \n",
       "15               AFR           Africa          NaN            AGO   \n",
       "16               AFR           Africa          NaN            AGO   \n",
       "17               AFR           Africa          NaN            AGO   \n",
       "18               AFR           Africa          NaN            AGO   \n",
       "19               AFR           Africa          NaN            AGO   \n",
       "20               AFR           Africa          NaN            AGO   \n",
       "21               AFR           Africa          NaN            AGO   \n",
       "22               AFR           Africa          NaN            AGO   \n",
       "23               AFR           Africa          NaN            AGO   \n",
       "24               AFR           Africa          NaN            AGO   \n",
       "25               AFR           Africa          NaN            AGO   \n",
       "26               AFR           Africa          NaN            AGO   \n",
       "27               AFR           Africa          NaN            AGO   \n",
       "28               AFR           Africa          NaN            AGO   \n",
       "29               AFR           Africa          NaN            AGO   \n",
       "...              ...              ...          ...            ...   \n",
       "162323           AFR           Africa          NaN            ZWE   \n",
       "162324           AFR           Africa          NaN            ZWE   \n",
       "162325           AFR           Africa          NaN            ZWE   \n",
       "162326           AFR           Africa          NaN            ZWE   \n",
       "162327           AFR           Africa          NaN            ZWE   \n",
       "162328           AFR           Africa          NaN            ZWE   \n",
       "162329           AFR           Africa          NaN            ZWE   \n",
       "162330           AFR           Africa          NaN            ZWE   \n",
       "162331           AFR           Africa          NaN            ZWE   \n",
       "162332           AFR           Africa          NaN            ZWE   \n",
       "162333           AFR           Africa          NaN            ZWE   \n",
       "162334           AFR           Africa          NaN            ZWE   \n",
       "162335           AFR           Africa          NaN            ZWE   \n",
       "162336           AFR           Africa          NaN            ZWE   \n",
       "162337           AFR           Africa          NaN            ZWE   \n",
       "162338           AFR           Africa          NaN            ZWE   \n",
       "162339           AFR           Africa          NaN            ZWE   \n",
       "162340           AFR           Africa          NaN            ZWE   \n",
       "162341           AFR           Africa          NaN            ZWE   \n",
       "162342           AFR           Africa          NaN            ZWE   \n",
       "162343           AFR           Africa          NaN            ZWE   \n",
       "162344           AFR           Africa          NaN            ZWE   \n",
       "162345           AFR           Africa          NaN            ZWE   \n",
       "162346           AFR           Africa          NaN            ZWE   \n",
       "162347           AFR           Africa          NaN            ZWE   \n",
       "162348           AFR           Africa          NaN            ZWE   \n",
       "162349           AFR           Africa          NaN            ZWE   \n",
       "162350           AFR           Africa          NaN            ZWE   \n",
       "162351           AFR           Africa          NaN            ZWE   \n",
       "162352           AFR           Africa          NaN            ZWE   \n",
       "\n",
       "       COUNTRY (URL) Display Value  Numeric Low High Comments  \n",
       "0                NaN        10 220  10220.0 NaN  NaN      NaN  \n",
       "1                NaN        10 530  10530.0 NaN  NaN      NaN  \n",
       "2                NaN        12 459  12459.0 NaN  NaN      NaN  \n",
       "3                NaN        13 768  13768.0 NaN  NaN      NaN  \n",
       "4                NaN        14 434  14434.0 NaN  NaN      NaN  \n",
       "5                NaN        38 598  38598.0 NaN  NaN      NaN  \n",
       "6                NaN         5 714   5714.0 NaN  NaN      NaN  \n",
       "7                NaN         5 736   5736.0 NaN  NaN      NaN  \n",
       "8                NaN         6 909   6909.0 NaN  NaN      NaN  \n",
       "9                NaN         7 300   7300.0 NaN  NaN      NaN  \n",
       "10               NaN         8 114   8114.0 NaN  NaN      NaN  \n",
       "11               NaN         9 465   9465.0 NaN  NaN      NaN  \n",
       "12               NaN         9 473   9473.0 NaN  NaN      NaN  \n",
       "13               NaN         9 510   9510.0 NaN  NaN      NaN  \n",
       "14               NaN         9 812   9812.0 NaN  NaN      NaN  \n",
       "15               NaN        10 220  10220.0 NaN  NaN      NaN  \n",
       "16               NaN        10 530  10530.0 NaN  NaN      NaN  \n",
       "17               NaN        12 459  12459.0 NaN  NaN      NaN  \n",
       "18               NaN        13 768  13768.0 NaN  NaN      NaN  \n",
       "19               NaN        14 434  14434.0 NaN  NaN      NaN  \n",
       "20               NaN        38 598  38598.0 NaN  NaN      NaN  \n",
       "21               NaN         5 714   5714.0 NaN  NaN      NaN  \n",
       "22               NaN         5 736   5736.0 NaN  NaN      NaN  \n",
       "23               NaN         6 909   6909.0 NaN  NaN      NaN  \n",
       "24               NaN         7 300   7300.0 NaN  NaN      NaN  \n",
       "25               NaN         8 114   8114.0 NaN  NaN      NaN  \n",
       "26               NaN         9 465   9465.0 NaN  NaN      NaN  \n",
       "27               NaN         9 473   9473.0 NaN  NaN      NaN  \n",
       "28               NaN         9 510   9510.0 NaN  NaN      NaN  \n",
       "29               NaN         9 812   9812.0 NaN  NaN      NaN  \n",
       "...              ...           ...      ...  ..  ...      ...  \n",
       "162323           NaN           401    401.0 NaN  NaN      NaN  \n",
       "162324           NaN           406    406.0 NaN  NaN      NaN  \n",
       "162325           NaN           451    451.0 NaN  NaN      NaN  \n",
       "162326           NaN           802    802.0 NaN  NaN      NaN  \n",
       "162327           NaN         1 044   1044.0 NaN  NaN      NaN  \n",
       "162328           NaN         1 809   1809.0 NaN  NaN      NaN  \n",
       "162329           NaN         1 844   1844.0 NaN  NaN      NaN  \n",
       "162330           NaN         1 916   1916.0 NaN  NaN      NaN  \n",
       "162331           NaN           108    108.0 NaN  NaN      NaN  \n",
       "162332           NaN           232    232.0 NaN  NaN      NaN  \n",
       "162333           NaN           255    255.0 NaN  NaN      NaN  \n",
       "162334           NaN           351    351.0 NaN  NaN      NaN  \n",
       "162335           NaN           352    352.0 NaN  NaN      NaN  \n",
       "162336           NaN           401    401.0 NaN  NaN      NaN  \n",
       "162337           NaN           406    406.0 NaN  NaN      NaN  \n",
       "162338           NaN           451    451.0 NaN  NaN      NaN  \n",
       "162339           NaN           802    802.0 NaN  NaN      NaN  \n",
       "162340           NaN         1 044   1044.0 NaN  NaN      NaN  \n",
       "162341           NaN         1 809   1809.0 NaN  NaN      NaN  \n",
       "162342           NaN         1 844   1844.0 NaN  NaN      NaN  \n",
       "162343           NaN         1 916   1916.0 NaN  NaN      NaN  \n",
       "162344           NaN           108    108.0 NaN  NaN      NaN  \n",
       "162345           NaN           232    232.0 NaN  NaN      NaN  \n",
       "162346           NaN           255    255.0 NaN  NaN      NaN  \n",
       "162347           NaN           351    351.0 NaN  NaN      NaN  \n",
       "162348           NaN           352    352.0 NaN  NaN      NaN  \n",
       "162349           NaN           401    401.0 NaN  NaN      NaN  \n",
       "162350           NaN           406    406.0 NaN  NaN      NaN  \n",
       "162351           NaN           451    451.0 NaN  NaN      NaN  \n",
       "162352           NaN           802    802.0 NaN  NaN      NaN  \n",
       "\n",
       "[162353 rows x 60 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_vectors_death"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
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       "      <td>Iraq</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "  GHO (CODE)                                 GHO (DISPLAY)  \\\n",
       "0    WHS3_48  Malaria - number of reported confirmed cases   \n",
       "1    WHS3_48  Malaria - number of reported confirmed cases   \n",
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       "\n",
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       "1  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "2  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "3  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "4  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "\n",
       "  PUBLISHSTATE (DISPLAY)  PUBLISHSTATE (URL)  YEAR (CODE)  YEAR (DISPLAY)  \\\n",
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       "   YEAR (URL) REGION (CODE)       REGION (DISPLAY)  REGION (URL)  \\\n",
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       "\n",
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     "execution_count": 41,
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   "source": [
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  },
  {
   "cell_type": "code",
   "execution_count": 43,
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   "outputs": [
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       "      <td>RWA</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "       GHO (CODE)                                      GHO (DISPLAY)  \\\n",
       "0  MDG_0000000013  Children aged <5 years sleeping under insectic...   \n",
       "1  MDG_0000000014  Children aged <5 years with fever who received...   \n",
       "2  MDG_0000000013  Children aged <5 years sleeping under insectic...   \n",
       "3  MDG_0000000013  Children aged <5 years sleeping under insectic...   \n",
       "4  MDG_0000000013  Children aged <5 years sleeping under insectic...   \n",
       "\n",
       "                                           GHO (URL) PUBLISHSTATE (CODE)  \\\n",
       "0  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "1  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "2  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "3  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "4  http://apps.who.int/gho/indicatorregistry/App_...           PUBLISHED   \n",
       "\n",
       "  PUBLISHSTATE (DISPLAY)  PUBLISHSTATE (URL) YEAR (CODE) YEAR (DISPLAY)  \\\n",
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       "2              Published                 NaN        2000           2000   \n",
       "3              Published                 NaN        2000           2000   \n",
       "4              Published                 NaN        2000           2000   \n",
       "\n",
       "   YEAR (URL) REGION (CODE)       REGION (DISPLAY)  REGION (URL)  \\\n",
       "0         NaN           AFR                 Africa           NaN   \n",
       "1         NaN           EMR  Eastern Mediterranean           NaN   \n",
       "2         NaN           AFR                 Africa           NaN   \n",
       "3         NaN           AFR                 Africa           NaN   \n",
       "4         NaN           AFR                 Africa           NaN   \n",
       "\n",
       "  COUNTRY (CODE) COUNTRY (DISPLAY)  COUNTRY (URL) Display Value  Numeric  Low  \\\n",
       "0            ZMB            Zambia            NaN          41.0     41.0  NaN   \n",
       "1            DJI          Djibouti            NaN             1      1.0  NaN   \n",
       "2            RWA            Rwanda            NaN           5.0      5.0  NaN   \n",
       "3            COM           Comoros            NaN           9.0      9.0  NaN   \n",
       "4            GMB            Gambia            NaN          15.0     15.0  NaN   \n",
       "\n",
       "   High  Comments  \n",
       "0   NaN       NaN  \n",
       "1   NaN       NaN  \n",
       "2   NaN       NaN  \n",
       "3   NaN       NaN  \n",
       "4   NaN       NaN  "
      ]
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     "execution_count": 43,
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   "source": [
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   ]
  },
  {
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   "execution_count": 44,
   "metadata": {},
   "outputs": [
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 286 entries, 0 to 285\n",
      "Data columns (total 20 columns):\n",
      "GHO (CODE)                286 non-null object\n",
      "GHO (DISPLAY)             286 non-null object\n",
      "GHO (URL)                 286 non-null object\n",
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      "REGION (DISPLAY)          286 non-null object\n",
      "REGION (URL)              0 non-null float64\n",
      "COUNTRY (CODE)            286 non-null object\n",
      "COUNTRY (DISPLAY)         286 non-null object\n",
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      "High                      96 non-null float64\n",
      "Comments                  0 non-null float64\n",
      "dtypes: float64(8), object(12)\n",
      "memory usage: 44.8+ KB\n"
     ]
    }
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   "source": [
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   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
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       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1905</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1906</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1907</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1908</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1909</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1910</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1911</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1912</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1913</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1914</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1915</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1916</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1917</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1918</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1919</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1920</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1921</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1922</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1923</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1924</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1925</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1926</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1927</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>1987</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1988</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>1989</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1990</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>1991</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>1992</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1993</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>1994</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>1995</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>1996</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>1997</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>1998</td>\n",
       "      <td>442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>1999</td>\n",
       "      <td>211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2000</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2001</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2002</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2003</td>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2004</td>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2005</td>\n",
       "      <td>502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2006</td>\n",
       "      <td>283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2007</td>\n",
       "      <td>408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2008</td>\n",
       "      <td>319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2009</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2010</td>\n",
       "      <td>213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2011</td>\n",
       "      <td>396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2012</td>\n",
       "      <td>345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2013</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2014</td>\n",
       "      <td>144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2015</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>119 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     YeStart  Country\n",
       "0       1898        2\n",
       "1       1899        3\n",
       "2       1900       19\n",
       "3       1901       23\n",
       "4       1902       42\n",
       "5       1903       44\n",
       "6       1904       38\n",
       "7       1905       13\n",
       "8       1906        3\n",
       "9       1907       22\n",
       "10      1908       29\n",
       "11      1909        5\n",
       "12      1910       42\n",
       "13      1911        9\n",
       "14      1912       42\n",
       "15      1913        8\n",
       "16      1914       22\n",
       "17      1915       10\n",
       "18      1916        4\n",
       "19      1917        1\n",
       "20      1918       11\n",
       "21      1919        1\n",
       "22      1920        3\n",
       "23      1921        3\n",
       "24      1922       18\n",
       "25      1923       28\n",
       "26      1924       12\n",
       "27      1925       44\n",
       "28      1926      102\n",
       "29      1927       21\n",
       "..       ...      ...\n",
       "89      1987       83\n",
       "90      1988      123\n",
       "91      1989       33\n",
       "92      1990       47\n",
       "93      1991      129\n",
       "94      1992      150\n",
       "95      1993       39\n",
       "96      1994      140\n",
       "97      1995       89\n",
       "98      1996      106\n",
       "99      1997      148\n",
       "100     1998      442\n",
       "101     1999      211\n",
       "102     2000      114\n",
       "103     2001      183\n",
       "104     2002      169\n",
       "105     2003      158\n",
       "106     2004      158\n",
       "107     2005      502\n",
       "108     2006      283\n",
       "109     2007      408\n",
       "110     2008      319\n",
       "111     2009      246\n",
       "112     2010      213\n",
       "113     2011      396\n",
       "114     2012      345\n",
       "115     2013      187\n",
       "116     2014      144\n",
       "117     2015       59\n",
       "118     2016        4\n",
       "\n",
       "[119 rows x 2 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectors_year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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