projet_BACKUP_9338.ipynb

{
 "cells": [
  {
   "cell_type": "code",
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   "execution_count": 23,
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   "execution_count": 87,
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   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.cluster import KMeans"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 24,
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   "execution_count": 88,
>>>>>>> refs/remotes/origin/master
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_table(\"./Data_Extract_From_World_Development_Indicators_2/f55a1b6c-6a50-4ee3-bfc3-c775ea8759cc_Data.txt\")"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 25,
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   "execution_count": 89,
>>>>>>> refs/remotes/origin/master
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>Time Code</th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Access to electricity (% of population) [EG.ELC.ACCS.ZS]</th>\n",
       "      <th>Agricultural land (% of land area) [AG.LND.AGRI.ZS]</th>\n",
       "      <th>Bank capital to assets ratio (%) [FB.BNK.CAPA.ZS]</th>\n",
       "      <th>Secondary education, pupils [SE.SEC.ENRL]</th>\n",
       "      <th>GDP per capita (current US$) [NY.GDP.PCAP.CD]</th>\n",
       "      <th>Rural population (% of total population) [SP.RUR.TOTL.ZS]</th>\n",
       "      <th>...</th>\n",
       "      <th>Children out of school (% of primary school age) [SE.PRM.UNER.ZS]</th>\n",
       "      <th>Pupil-teacher ratio, primary [SE.PRM.ENRL.TC.ZS]</th>\n",
       "      <th>Gross intake ratio in first grade of primary education, total (% of relevant age group) [SE.PRM.GINT.ZS]</th>\n",
       "      <th>School enrollment, primary (gross), gender parity index (GPI) [SE.ENR.PRIM.FM.ZS]</th>\n",
       "      <th>Unemployment, total (% of total labor force) (modeled ILO estimate) [SL.UEM.TOTL.ZS]</th>\n",
       "      <th>Population, total [SP.POP.TOTL]</th>\n",
       "      <th>Proportion of seats held by women in national parliaments (%) [SG.GEN.PARL.ZS]</th>\n",
       "      <th>Total debt service (% of GNI) [DT.TDS.DECT.GN.ZS]</th>\n",
       "      <th>GDP growth (annual %) [NY.GDP.MKTP.KD.ZG]</th>\n",
       "      <th>Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure [SH.UHC.OOPC.10.TO]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>71.500000</td>\n",
       "      <td>58.067580</td>\n",
       "      <td>9.232694</td>\n",
       "      <td>2698816.0</td>\n",
       "      <td>578.466353</td>\n",
       "      <td>75.197000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.32877</td>\n",
       "      <td>108.47540</td>\n",
       "      <td>0.68839</td>\n",
       "      <td>1.679000</td>\n",
       "      <td>3.441360e+07</td>\n",
       "      <td>27.700000</td>\n",
       "      <td>0.281553</td>\n",
       "      <td>1.451315</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.857666</td>\n",
       "      <td>9.526138</td>\n",
       "      <td>315079.0</td>\n",
       "      <td>3952.830781</td>\n",
       "      <td>42.566000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.20127</td>\n",
       "      <td>18.61557</td>\n",
       "      <td>111.00670</td>\n",
       "      <td>1.03130</td>\n",
       "      <td>17.080000</td>\n",
       "      <td>2.880703e+06</td>\n",
       "      <td>20.700000</td>\n",
       "      <td>10.232012</td>\n",
       "      <td>2.230000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>DZA</td>\n",
       "      <td>99.943069</td>\n",
       "      <td>17.405929</td>\n",
       "      <td>8.826316</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4177.888966</td>\n",
       "      <td>29.152000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.68412</td>\n",
       "      <td>23.83613</td>\n",
       "      <td>108.11130</td>\n",
       "      <td>0.95230</td>\n",
       "      <td>11.206000</td>\n",
       "      <td>3.972802e+07</td>\n",
       "      <td>31.600000</td>\n",
       "      <td>0.427837</td>\n",
       "      <td>3.763467</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>ASM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11843.331183</td>\n",
       "      <td>12.762000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.581200e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.248050</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>40.021275</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4395.0</td>\n",
       "      <td>36039.653496</td>\n",
       "      <td>11.655000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.93795</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.801100e+04</td>\n",
       "      <td>39.300000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.842204</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>47.477340</td>\n",
       "      <td>8.421779</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4166.979684</td>\n",
       "      <td>36.554000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.02951</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.87413</td>\n",
       "      <td>7.279000</td>\n",
       "      <td>2.788438e+07</td>\n",
       "      <td>36.800000</td>\n",
       "      <td>7.120381</td>\n",
       "      <td>0.943576</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>ATG</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>20.454545</td>\n",
       "      <td>5.641336</td>\n",
       "      <td>8048.0</td>\n",
       "      <td>14526.588085</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.21900</td>\n",
       "      <td>14.33428</td>\n",
       "      <td>114.36870</td>\n",
       "      <td>0.96619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.356600e+04</td>\n",
       "      <td>11.100000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.025737</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>ARG</td>\n",
       "      <td>99.823578</td>\n",
       "      <td>54.335712</td>\n",
       "      <td>12.280693</td>\n",
       "      <td>4501734.0</td>\n",
       "      <td>13789.060425</td>\n",
       "      <td>8.497000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.05630</td>\n",
       "      <td>NaN</td>\n",
       "      <td>105.51890</td>\n",
       "      <td>0.99881</td>\n",
       "      <td>7.643000</td>\n",
       "      <td>4.313197e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.067487</td>\n",
       "      <td>2.731160</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>ARM</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>58.893570</td>\n",
       "      <td>14.684982</td>\n",
       "      <td>240291.0</td>\n",
       "      <td>3607.296697</td>\n",
       "      <td>36.915000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.96742</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.09745</td>\n",
       "      <td>1.01521</td>\n",
       "      <td>18.261000</td>\n",
       "      <td>2.925553e+06</td>\n",
       "      <td>10.700000</td>\n",
       "      <td>14.056075</td>\n",
       "      <td>3.200000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>11.111111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25796.380251</td>\n",
       "      <td>56.892000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.043410e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.450586</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>47.630657</td>\n",
       "      <td>5.965101</td>\n",
       "      <td>2709319.0</td>\n",
       "      <td>56748.420261</td>\n",
       "      <td>14.299000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.08832</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00029</td>\n",
       "      <td>6.056000</td>\n",
       "      <td>2.381600e+07</td>\n",
       "      <td>26.700000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.336075</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Austria</td>\n",
       "      <td>AUT</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>32.941726</td>\n",
       "      <td>7.446891</td>\n",
       "      <td>691071.3</td>\n",
       "      <td>44176.671743</td>\n",
       "      <td>42.285000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.47045</td>\n",
       "      <td>10.58415</td>\n",
       "      <td>98.79947</td>\n",
       "      <td>0.99097</td>\n",
       "      <td>5.723000</td>\n",
       "      <td>8.642699e+06</td>\n",
       "      <td>30.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.142980</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>AZE</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>57.701752</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5500.320497</td>\n",
       "      <td>45.286000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.15667</td>\n",
       "      <td>13.49787</td>\n",
       "      <td>101.24680</td>\n",
       "      <td>0.98318</td>\n",
       "      <td>4.960000</td>\n",
       "      <td>9.649341e+06</td>\n",
       "      <td>16.900000</td>\n",
       "      <td>3.738718</td>\n",
       "      <td>1.050751</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Bahamas, The</td>\n",
       "      <td>BHS</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>1.398601</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25766.0</td>\n",
       "      <td>31512.856555</td>\n",
       "      <td>17.254000</td>\n",
       "      <td>...</td>\n",
       "      <td>18.40080</td>\n",
       "      <td>21.04116</td>\n",
       "      <td>87.15463</td>\n",
       "      <td>0.97338</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3.742060e+05</td>\n",
       "      <td>13.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.044960</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>BHR</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>11.053985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92454.0</td>\n",
       "      <td>22688.944400</td>\n",
       "      <td>11.001000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.31748</td>\n",
       "      <td>11.73164</td>\n",
       "      <td>101.52670</td>\n",
       "      <td>1.00991</td>\n",
       "      <td>1.076000</td>\n",
       "      <td>1.371851e+06</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.861968</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>BGD</td>\n",
       "      <td>73.174202</td>\n",
       "      <td>70.386727</td>\n",
       "      <td>5.433619</td>\n",
       "      <td>14600000.0</td>\n",
       "      <td>1248.453398</td>\n",
       "      <td>65.692000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.77140</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.416000</td>\n",
       "      <td>1.562563e+08</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0.799568</td>\n",
       "      <td>6.552653</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Barbados</td>\n",
       "      <td>BRB</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>25.581395</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20554.0</td>\n",
       "      <td>16066.471800</td>\n",
       "      <td>68.751000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.15157</td>\n",
       "      <td>13.40321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.99302</td>\n",
       "      <td>11.350000</td>\n",
       "      <td>2.853240e+05</td>\n",
       "      <td>16.700000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.904159</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Belarus</td>\n",
       "      <td>BLR</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.242016</td>\n",
       "      <td>12.822041</td>\n",
       "      <td>644153.0</td>\n",
       "      <td>5949.106307</td>\n",
       "      <td>22.819000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.50754</td>\n",
       "      <td>17.57007</td>\n",
       "      <td>102.54340</td>\n",
       "      <td>1.00156</td>\n",
       "      <td>5.913000</td>\n",
       "      <td>9.489616e+06</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>9.215903</td>\n",
       "      <td>-3.829571</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>BEL</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>43.857332</td>\n",
       "      <td>6.783034</td>\n",
       "      <td>1217912.0</td>\n",
       "      <td>40441.052042</td>\n",
       "      <td>2.124000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.97579</td>\n",
       "      <td>11.23127</td>\n",
       "      <td>98.58350</td>\n",
       "      <td>0.99830</td>\n",
       "      <td>8.482000</td>\n",
       "      <td>1.127420e+07</td>\n",
       "      <td>39.300000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.739580</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Belize</td>\n",
       "      <td>BLZ</td>\n",
       "      <td>91.800000</td>\n",
       "      <td>7.014467</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37856.0</td>\n",
       "      <td>4883.179011</td>\n",
       "      <td>54.594000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.41269</td>\n",
       "      <td>20.43642</td>\n",
       "      <td>105.28140</td>\n",
       "      <td>0.95398</td>\n",
       "      <td>9.970000</td>\n",
       "      <td>3.609330e+05</td>\n",
       "      <td>3.100000</td>\n",
       "      <td>5.698321</td>\n",
       "      <td>3.431950</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Benin</td>\n",
       "      <td>BEN</td>\n",
       "      <td>40.160172</td>\n",
       "      <td>33.256474</td>\n",
       "      <td>NaN</td>\n",
       "      <td>963787.0</td>\n",
       "      <td>783.963078</td>\n",
       "      <td>54.305000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.04478</td>\n",
       "      <td>161.96450</td>\n",
       "      <td>0.93024</td>\n",
       "      <td>2.463000</td>\n",
       "      <td>1.057595e+07</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>0.928651</td>\n",
       "      <td>2.095808</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Bermuda</td>\n",
       "      <td>BMU</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>5.555556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4040.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.41960</td>\n",
       "      <td>70.75038</td>\n",
       "      <td>0.98176</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.523900e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Bhutan</td>\n",
       "      <td>BTN</td>\n",
       "      <td>95.646057</td>\n",
       "      <td>13.789122</td>\n",
       "      <td>17.611394</td>\n",
       "      <td>74320.0</td>\n",
       "      <td>2829.891245</td>\n",
       "      <td>61.322000</td>\n",
       "      <td>...</td>\n",
       "      <td>9.86584</td>\n",
       "      <td>40.00443</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.01085</td>\n",
       "      <td>2.450000</td>\n",
       "      <td>7.278760e+05</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>6.726087</td>\n",
       "      <td>6.644564</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BOL</td>\n",
       "      <td>91.522822</td>\n",
       "      <td>34.765070</td>\n",
       "      <td>7.037981</td>\n",
       "      <td>1153379.0</td>\n",
       "      <td>3035.972215</td>\n",
       "      <td>31.607000</td>\n",
       "      <td>...</td>\n",
       "      <td>11.03696</td>\n",
       "      <td>18.10837</td>\n",
       "      <td>94.79886</td>\n",
       "      <td>0.97941</td>\n",
       "      <td>3.066000</td>\n",
       "      <td>1.086973e+07</td>\n",
       "      <td>53.100000</td>\n",
       "      <td>3.117661</td>\n",
       "      <td>4.857188</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>BIH</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.500000</td>\n",
       "      <td>14.098266</td>\n",
       "      <td>278071.0</td>\n",
       "      <td>4727.277546</td>\n",
       "      <td>52.827000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.16401</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.650000</td>\n",
       "      <td>3.429361e+06</td>\n",
       "      <td>21.400000</td>\n",
       "      <td>4.713009</td>\n",
       "      <td>3.088224</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Botswana</td>\n",
       "      <td>BWA</td>\n",
       "      <td>58.353230</td>\n",
       "      <td>45.633017</td>\n",
       "      <td>8.524321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6799.875234</td>\n",
       "      <td>32.845000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.71279</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.97776</td>\n",
       "      <td>17.955999</td>\n",
       "      <td>2.120716e+06</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>1.738097</td>\n",
       "      <td>-1.697966</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BRA</td>\n",
       "      <td>99.710902</td>\n",
       "      <td>33.988782</td>\n",
       "      <td>8.460618</td>\n",
       "      <td>23500000.0</td>\n",
       "      <td>8814.000987</td>\n",
       "      <td>14.230000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.58529</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.95945</td>\n",
       "      <td>8.437000</td>\n",
       "      <td>2.044718e+08</td>\n",
       "      <td>9.900000</td>\n",
       "      <td>5.095249</td>\n",
       "      <td>-3.545763</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>British Virgin Islands</td>\n",
       "      <td>VGB</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>46.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2027.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.417000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.74126</td>\n",
       "      <td>144.15950</td>\n",
       "      <td>0.93656</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.915200e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Brunei Darussalam</td>\n",
       "      <td>BRN</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>2.732448</td>\n",
       "      <td>13.232282</td>\n",
       "      <td>47249.0</td>\n",
       "      <td>31164.562029</td>\n",
       "      <td>23.337000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.68014</td>\n",
       "      <td>10.01661</td>\n",
       "      <td>105.70140</td>\n",
       "      <td>0.99665</td>\n",
       "      <td>7.756000</td>\n",
       "      <td>4.149070e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.566815</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>BGR</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>46.167096</td>\n",
       "      <td>12.015902</td>\n",
       "      <td>501398.0</td>\n",
       "      <td>6993.783483</td>\n",
       "      <td>26.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>7.81204</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.22758</td>\n",
       "      <td>0.98992</td>\n",
       "      <td>9.143000</td>\n",
       "      <td>7.177991e+06</td>\n",
       "      <td>20.400000</td>\n",
       "      <td>19.239487</td>\n",
       "      <td>3.471186</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>239</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Latin America &amp; Caribbean (excluding high income)</td>\n",
       "      <td>LAC</td>\n",
       "      <td>97.227906</td>\n",
       "      <td>38.004919</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61400000.0</td>\n",
       "      <td>8449.223414</td>\n",
       "      <td>20.359647</td>\n",
       "      <td>...</td>\n",
       "      <td>3.18495</td>\n",
       "      <td>21.98897</td>\n",
       "      <td>100.59590</td>\n",
       "      <td>0.97994</td>\n",
       "      <td>6.644718</td>\n",
       "      <td>5.914168e+08</td>\n",
       "      <td>29.205806</td>\n",
       "      <td>4.728233</td>\n",
       "      <td>-0.064061</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Latin America &amp; the Caribbean (IDA &amp; IBRD coun...</td>\n",
       "      <td>TLA</td>\n",
       "      <td>97.269219</td>\n",
       "      <td>37.619114</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62900000.0</td>\n",
       "      <td>8716.406758</td>\n",
       "      <td>20.149901</td>\n",
       "      <td>...</td>\n",
       "      <td>3.19511</td>\n",
       "      <td>22.15856</td>\n",
       "      <td>100.58080</td>\n",
       "      <td>0.98006</td>\n",
       "      <td>6.686993</td>\n",
       "      <td>6.069570e+08</td>\n",
       "      <td>24.268971</td>\n",
       "      <td>4.728233</td>\n",
       "      <td>0.047912</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Least developed countries: UN classification</td>\n",
       "      <td>LDC</td>\n",
       "      <td>42.812959</td>\n",
       "      <td>38.749190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58600000.0</td>\n",
       "      <td>1020.578572</td>\n",
       "      <td>67.998731</td>\n",
       "      <td>...</td>\n",
       "      <td>17.28761</td>\n",
       "      <td>38.00919</td>\n",
       "      <td>124.90740</td>\n",
       "      <td>0.95360</td>\n",
       "      <td>4.027290</td>\n",
       "      <td>9.411313e+08</td>\n",
       "      <td>23.044322</td>\n",
       "      <td>1.888061</td>\n",
       "      <td>4.047272</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Low &amp; middle income</td>\n",
       "      <td>LMY</td>\n",
       "      <td>84.272316</td>\n",
       "      <td>38.343081</td>\n",
       "      <td>NaN</td>\n",
       "      <td>492000000.0</td>\n",
       "      <td>4418.337014</td>\n",
       "      <td>51.297339</td>\n",
       "      <td>...</td>\n",
       "      <td>9.19518</td>\n",
       "      <td>25.04042</td>\n",
       "      <td>105.88380</td>\n",
       "      <td>0.99937</td>\n",
       "      <td>4.911082</td>\n",
       "      <td>6.149221e+09</td>\n",
       "      <td>21.563994</td>\n",
       "      <td>3.220309</td>\n",
       "      <td>3.886911</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Low income</td>\n",
       "      <td>LIC</td>\n",
       "      <td>34.333636</td>\n",
       "      <td>39.768807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37400000.0</td>\n",
       "      <td>792.208130</td>\n",
       "      <td>68.712638</td>\n",
       "      <td>...</td>\n",
       "      <td>18.02432</td>\n",
       "      <td>40.13131</td>\n",
       "      <td>126.88010</td>\n",
       "      <td>0.93673</td>\n",
       "      <td>3.760173</td>\n",
       "      <td>6.534052e+08</td>\n",
       "      <td>22.041572</td>\n",
       "      <td>1.206168</td>\n",
       "      <td>2.874426</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>LMC</td>\n",
       "      <td>82.158725</td>\n",
       "      <td>45.900366</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>1995.940544</td>\n",
       "      <td>60.882354</td>\n",
       "      <td>...</td>\n",
       "      <td>10.24032</td>\n",
       "      <td>28.01515</td>\n",
       "      <td>103.76270</td>\n",
       "      <td>1.02658</td>\n",
       "      <td>4.130142</td>\n",
       "      <td>2.898058e+09</td>\n",
       "      <td>20.070013</td>\n",
       "      <td>3.376731</td>\n",
       "      <td>5.585129</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Middle East &amp; North Africa</td>\n",
       "      <td>MEA</td>\n",
       "      <td>97.431377</td>\n",
       "      <td>33.316101</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35500000.0</td>\n",
       "      <td>7388.593939</td>\n",
       "      <td>35.629099</td>\n",
       "      <td>...</td>\n",
       "      <td>5.32258</td>\n",
       "      <td>19.94048</td>\n",
       "      <td>103.75720</td>\n",
       "      <td>0.96846</td>\n",
       "      <td>9.906036</td>\n",
       "      <td>4.258218e+08</td>\n",
       "      <td>16.388246</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.509976</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Middle East &amp; North Africa (excluding high inc...</td>\n",
       "      <td>MNA</td>\n",
       "      <td>96.994920</td>\n",
       "      <td>22.878483</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30100000.0</td>\n",
       "      <td>3960.769906</td>\n",
       "      <td>39.398369</td>\n",
       "      <td>...</td>\n",
       "      <td>5.97224</td>\n",
       "      <td>22.27264</td>\n",
       "      <td>102.81930</td>\n",
       "      <td>0.96236</td>\n",
       "      <td>11.587813</td>\n",
       "      <td>3.639756e+08</td>\n",
       "      <td>16.902135</td>\n",
       "      <td>2.400037</td>\n",
       "      <td>0.984978</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Middle East &amp; North Africa (IDA &amp; IBRD countries)</td>\n",
       "      <td>TMN</td>\n",
       "      <td>96.959246</td>\n",
       "      <td>22.860048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29400000.0</td>\n",
       "      <td>3972.175733</td>\n",
       "      <td>39.573662</td>\n",
       "      <td>...</td>\n",
       "      <td>5.99216</td>\n",
       "      <td>22.25553</td>\n",
       "      <td>102.90540</td>\n",
       "      <td>0.96197</td>\n",
       "      <td>11.437460</td>\n",
       "      <td>3.597055e+08</td>\n",
       "      <td>16.902135</td>\n",
       "      <td>2.400037</td>\n",
       "      <td>0.965836</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Middle income</td>\n",
       "      <td>MIC</td>\n",
       "      <td>90.209656</td>\n",
       "      <td>38.095292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>455000000.0</td>\n",
       "      <td>4850.346612</td>\n",
       "      <td>49.226131</td>\n",
       "      <td>...</td>\n",
       "      <td>7.41438</td>\n",
       "      <td>23.27888</td>\n",
       "      <td>101.85240</td>\n",
       "      <td>1.01251</td>\n",
       "      <td>5.035677</td>\n",
       "      <td>5.495816e+09</td>\n",
       "      <td>21.410397</td>\n",
       "      <td>3.251511</td>\n",
       "      <td>3.901337</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>North America</td>\n",
       "      <td>NAC</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>25.684963</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27100000.0</td>\n",
       "      <td>55476.896706</td>\n",
       "      <td>18.366906</td>\n",
       "      <td>...</td>\n",
       "      <td>1.68982</td>\n",
       "      <td>14.66827</td>\n",
       "      <td>102.55240</td>\n",
       "      <td>1.00044</td>\n",
       "      <td>5.457251</td>\n",
       "      <td>3.565108e+08</td>\n",
       "      <td>22.289637</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.664206</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Not classified</td>\n",
       "      <td>INX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>OECD members</td>\n",
       "      <td>OED</td>\n",
       "      <td>99.900831</td>\n",
       "      <td>34.218083</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109000000.0</td>\n",
       "      <td>36604.036210</td>\n",
       "      <td>19.990396</td>\n",
       "      <td>...</td>\n",
       "      <td>1.59925</td>\n",
       "      <td>15.65422</td>\n",
       "      <td>101.37450</td>\n",
       "      <td>0.99900</td>\n",
       "      <td>6.770438</td>\n",
       "      <td>1.280467e+09</td>\n",
       "      <td>27.959368</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.419495</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Other small states</td>\n",
       "      <td>OSS</td>\n",
       "      <td>72.485615</td>\n",
       "      <td>40.400360</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019982.0</td>\n",
       "      <td>12832.040131</td>\n",
       "      <td>39.404635</td>\n",
       "      <td>...</td>\n",
       "      <td>13.52198</td>\n",
       "      <td>23.55641</td>\n",
       "      <td>106.18460</td>\n",
       "      <td>0.97958</td>\n",
       "      <td>10.238516</td>\n",
       "      <td>2.894887e+07</td>\n",
       "      <td>18.619645</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.793413</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Pacific island small states</td>\n",
       "      <td>PSS</td>\n",
       "      <td>78.860471</td>\n",
       "      <td>13.437695</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3782.032777</td>\n",
       "      <td>61.958740</td>\n",
       "      <td>...</td>\n",
       "      <td>2.98979</td>\n",
       "      <td>23.90217</td>\n",
       "      <td>107.85100</td>\n",
       "      <td>0.98431</td>\n",
       "      <td>3.906251</td>\n",
       "      <td>2.355672e+06</td>\n",
       "      <td>5.677297</td>\n",
       "      <td>4.648064</td>\n",
       "      <td>3.678485</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>PST</td>\n",
       "      <td>99.992451</td>\n",
       "      <td>33.607978</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84000000.0</td>\n",
       "      <td>40474.337602</td>\n",
       "      <td>19.254039</td>\n",
       "      <td>...</td>\n",
       "      <td>1.67123</td>\n",
       "      <td>14.30129</td>\n",
       "      <td>99.79988</td>\n",
       "      <td>1.00009</td>\n",
       "      <td>6.869027</td>\n",
       "      <td>1.097025e+09</td>\n",
       "      <td>28.578706</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.109428</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Pre-demographic dividend</td>\n",
       "      <td>PRE</td>\n",
       "      <td>40.292501</td>\n",
       "      <td>41.324807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49000000.0</td>\n",
       "      <td>1585.942265</td>\n",
       "      <td>60.406110</td>\n",
       "      <td>...</td>\n",
       "      <td>22.66607</td>\n",
       "      <td>35.34598</td>\n",
       "      <td>111.45690</td>\n",
       "      <td>0.94119</td>\n",
       "      <td>5.122494</td>\n",
       "      <td>8.457593e+08</td>\n",
       "      <td>21.842412</td>\n",
       "      <td>1.470020</td>\n",
       "      <td>3.070877</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Small states</td>\n",
       "      <td>SST</td>\n",
       "      <td>77.426679</td>\n",
       "      <td>34.179070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2815803.0</td>\n",
       "      <td>11732.173394</td>\n",
       "      <td>42.622785</td>\n",
       "      <td>...</td>\n",
       "      <td>11.72521</td>\n",
       "      <td>22.66048</td>\n",
       "      <td>104.49780</td>\n",
       "      <td>0.98353</td>\n",
       "      <td>10.042463</td>\n",
       "      <td>3.852675e+07</td>\n",
       "      <td>16.944457</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.572772</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>South Asia</td>\n",
       "      <td>SAS</td>\n",
       "      <td>84.492836</td>\n",
       "      <td>56.666746</td>\n",
       "      <td>NaN</td>\n",
       "      <td>165000000.0</td>\n",
       "      <td>1541.835813</td>\n",
       "      <td>67.262439</td>\n",
       "      <td>...</td>\n",
       "      <td>7.78734</td>\n",
       "      <td>32.72140</td>\n",
       "      <td>104.58130</td>\n",
       "      <td>1.06133</td>\n",
       "      <td>2.992069</td>\n",
       "      <td>1.749417e+09</td>\n",
       "      <td>19.315546</td>\n",
       "      <td>2.205866</td>\n",
       "      <td>7.480021</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>South Asia (IDA &amp; IBRD)</td>\n",
       "      <td>TSA</td>\n",
       "      <td>84.492836</td>\n",
       "      <td>56.666746</td>\n",
       "      <td>NaN</td>\n",
       "      <td>165000000.0</td>\n",
       "      <td>1541.835813</td>\n",
       "      <td>67.262439</td>\n",
       "      <td>...</td>\n",
       "      <td>7.78734</td>\n",
       "      <td>32.72140</td>\n",
       "      <td>104.58130</td>\n",
       "      <td>1.06133</td>\n",
       "      <td>2.992069</td>\n",
       "      <td>1.749417e+09</td>\n",
       "      <td>19.315546</td>\n",
       "      <td>2.205866</td>\n",
       "      <td>7.480021</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Sub-Saharan Africa</td>\n",
       "      <td>SSF</td>\n",
       "      <td>39.399695</td>\n",
       "      <td>43.679445</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58900000.0</td>\n",
       "      <td>1669.443418</td>\n",
       "      <td>61.408927</td>\n",
       "      <td>...</td>\n",
       "      <td>20.04884</td>\n",
       "      <td>37.50596</td>\n",
       "      <td>114.13590</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.954585e+08</td>\n",
       "      <td>23.640948</td>\n",
       "      <td>2.114839</td>\n",
       "      <td>2.815844</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Sub-Saharan Africa (excluding high income)</td>\n",
       "      <td>SSA</td>\n",
       "      <td>39.394007</td>\n",
       "      <td>43.680318</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58900000.0</td>\n",
       "      <td>1668.215982</td>\n",
       "      <td>61.410505</td>\n",
       "      <td>...</td>\n",
       "      <td>20.04984</td>\n",
       "      <td>37.50958</td>\n",
       "      <td>114.13660</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.953651e+08</td>\n",
       "      <td>23.566474</td>\n",
       "      <td>2.114839</td>\n",
       "      <td>2.814316</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Sub-Saharan Africa (IDA &amp; IBRD countries)</td>\n",
       "      <td>TSS</td>\n",
       "      <td>39.399695</td>\n",
       "      <td>43.679445</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58900000.0</td>\n",
       "      <td>1669.443418</td>\n",
       "      <td>61.408927</td>\n",
       "      <td>...</td>\n",
       "      <td>20.04884</td>\n",
       "      <td>37.50596</td>\n",
       "      <td>114.13590</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.954585e+08</td>\n",
       "      <td>23.640948</td>\n",
       "      <td>2.114839</td>\n",
       "      <td>2.815844</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>UMC</td>\n",
       "      <td>99.191467</td>\n",
       "      <td>35.403619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>204000000.0</td>\n",
       "      <td>8032.489459</td>\n",
       "      <td>36.213422</td>\n",
       "      <td>...</td>\n",
       "      <td>2.99216</td>\n",
       "      <td>18.32687</td>\n",
       "      <td>98.66924</td>\n",
       "      <td>0.99007</td>\n",
       "      <td>5.802802</td>\n",
       "      <td>2.597758e+09</td>\n",
       "      <td>22.366320</td>\n",
       "      <td>3.214696</td>\n",
       "      <td>3.411958</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>2015</td>\n",
       "      <td>YR2015</td>\n",
       "      <td>World</td>\n",
       "      <td>WLD</td>\n",
       "      <td>86.778707</td>\n",
       "      <td>37.421819</td>\n",
       "      <td>NaN</td>\n",
       "      <td>583000000.0</td>\n",
       "      <td>10217.656013</td>\n",
       "      <td>46.086627</td>\n",
       "      <td>...</td>\n",
       "      <td>8.37648</td>\n",
       "      <td>23.10596</td>\n",
       "      <td>105.48740</td>\n",
       "      <td>0.99946</td>\n",
       "      <td>5.216669</td>\n",
       "      <td>7.340548e+09</td>\n",
       "      <td>22.852166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.852939</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Data from database: World Development Indicators</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>Last Updated: 10/28/2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>269 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Time Time Code  \\\n",
       "0                                                2015    YR2015   \n",
       "1                                                2015    YR2015   \n",
       "2                                                2015    YR2015   \n",
       "3                                                2015    YR2015   \n",
       "4                                                2015    YR2015   \n",
       "5                                                2015    YR2015   \n",
       "6                                                2015    YR2015   \n",
       "7                                                2015    YR2015   \n",
       "8                                                2015    YR2015   \n",
       "9                                                2015    YR2015   \n",
       "10                                               2015    YR2015   \n",
       "11                                               2015    YR2015   \n",
       "12                                               2015    YR2015   \n",
       "13                                               2015    YR2015   \n",
       "14                                               2015    YR2015   \n",
       "15                                               2015    YR2015   \n",
       "16                                               2015    YR2015   \n",
       "17                                               2015    YR2015   \n",
       "18                                               2015    YR2015   \n",
       "19                                               2015    YR2015   \n",
       "20                                               2015    YR2015   \n",
       "21                                               2015    YR2015   \n",
       "22                                               2015    YR2015   \n",
       "23                                               2015    YR2015   \n",
       "24                                               2015    YR2015   \n",
       "25                                               2015    YR2015   \n",
       "26                                               2015    YR2015   \n",
       "27                                               2015    YR2015   \n",
       "28                                               2015    YR2015   \n",
       "29                                               2015    YR2015   \n",
       "..                                                ...       ...   \n",
       "239                                              2015    YR2015   \n",
       "240                                              2015    YR2015   \n",
       "241                                              2015    YR2015   \n",
       "242                                              2015    YR2015   \n",
       "243                                              2015    YR2015   \n",
       "244                                              2015    YR2015   \n",
       "245                                              2015    YR2015   \n",
       "246                                              2015    YR2015   \n",
       "247                                              2015    YR2015   \n",
       "248                                              2015    YR2015   \n",
       "249                                              2015    YR2015   \n",
       "250                                              2015    YR2015   \n",
       "251                                              2015    YR2015   \n",
       "252                                              2015    YR2015   \n",
       "253                                              2015    YR2015   \n",
       "254                                              2015    YR2015   \n",
       "255                                              2015    YR2015   \n",
       "256                                              2015    YR2015   \n",
       "257                                              2015    YR2015   \n",
       "258                                              2015    YR2015   \n",
       "259                                              2015    YR2015   \n",
       "260                                              2015    YR2015   \n",
       "261                                              2015    YR2015   \n",
       "262                                              2015    YR2015   \n",
       "263                                              2015    YR2015   \n",
       "264                                               NaN       NaN   \n",
       "265                                               NaN       NaN   \n",
       "266                                               NaN       NaN   \n",
       "267  Data from database: World Development Indicators       NaN   \n",
       "268                          Last Updated: 10/28/2019       NaN   \n",
       "\n",
       "                                          Country Name Country Code  \\\n",
       "0                                          Afghanistan          AFG   \n",
       "1                                              Albania          ALB   \n",
       "2                                              Algeria          DZA   \n",
       "3                                       American Samoa          ASM   \n",
       "4                                              Andorra          AND   \n",
       "5                                               Angola          AGO   \n",
       "6                                  Antigua and Barbuda          ATG   \n",
       "7                                            Argentina          ARG   \n",
       "8                                              Armenia          ARM   \n",
       "9                                                Aruba          ABW   \n",
       "10                                           Australia          AUS   \n",
       "11                                             Austria          AUT   \n",
       "12                                          Azerbaijan          AZE   \n",
       "13                                        Bahamas, The          BHS   \n",
       "14                                             Bahrain          BHR   \n",
       "15                                          Bangladesh          BGD   \n",
       "16                                            Barbados          BRB   \n",
       "17                                             Belarus          BLR   \n",
       "18                                             Belgium          BEL   \n",
       "19                                              Belize          BLZ   \n",
       "20                                               Benin          BEN   \n",
       "21                                             Bermuda          BMU   \n",
       "22                                              Bhutan          BTN   \n",
       "23                                             Bolivia          BOL   \n",
       "24                              Bosnia and Herzegovina          BIH   \n",
       "25                                            Botswana          BWA   \n",
       "26                                              Brazil          BRA   \n",
       "27                              British Virgin Islands          VGB   \n",
       "28                                   Brunei Darussalam          BRN   \n",
       "29                                            Bulgaria          BGR   \n",
       "..                                                 ...          ...   \n",
       "239  Latin America & Caribbean (excluding high income)          LAC   \n",
       "240  Latin America & the Caribbean (IDA & IBRD coun...          TLA   \n",
       "241       Least developed countries: UN classification          LDC   \n",
       "242                                Low & middle income          LMY   \n",
       "243                                         Low income          LIC   \n",
       "244                                Lower middle income          LMC   \n",
       "245                         Middle East & North Africa          MEA   \n",
       "246  Middle East & North Africa (excluding high inc...          MNA   \n",
       "247  Middle East & North Africa (IDA & IBRD countries)          TMN   \n",
       "248                                      Middle income          MIC   \n",
       "249                                      North America          NAC   \n",
       "250                                     Not classified          INX   \n",
       "251                                       OECD members          OED   \n",
       "252                                 Other small states          OSS   \n",
       "253                        Pacific island small states          PSS   \n",
       "254                          Post-demographic dividend          PST   \n",
       "255                           Pre-demographic dividend          PRE   \n",
       "256                                       Small states          SST   \n",
       "257                                         South Asia          SAS   \n",
       "258                            South Asia (IDA & IBRD)          TSA   \n",
       "259                                 Sub-Saharan Africa          SSF   \n",
       "260         Sub-Saharan Africa (excluding high income)          SSA   \n",
       "261          Sub-Saharan Africa (IDA & IBRD countries)          TSS   \n",
       "262                                Upper middle income          UMC   \n",
       "263                                              World          WLD   \n",
       "264                                                NaN          NaN   \n",
       "265                                                NaN          NaN   \n",
       "266                                                NaN          NaN   \n",
       "267                                                NaN          NaN   \n",
       "268                                                NaN          NaN   \n",
       "\n",
       "     Access to electricity (% of population) [EG.ELC.ACCS.ZS]  \\\n",
       "0                                            71.500000          \n",
       "1                                           100.000000          \n",
       "2                                            99.943069          \n",
       "3                                                  NaN          \n",
       "4                                           100.000000          \n",
       "5                                            42.000000          \n",
       "6                                           100.000000          \n",
       "7                                            99.823578          \n",
       "8                                           100.000000          \n",
       "9                                           100.000000          \n",
       "10                                          100.000000          \n",
       "11                                          100.000000          \n",
       "12                                          100.000000          \n",
       "13                                          100.000000          \n",
       "14                                          100.000000          \n",
       "15                                           73.174202          \n",
       "16                                          100.000000          \n",
       "17                                          100.000000          \n",
       "18                                          100.000000          \n",
       "19                                           91.800000          \n",
       "20                                           40.160172          \n",
       "21                                          100.000000          \n",
       "22                                           95.646057          \n",
       "23                                           91.522822          \n",
       "24                                          100.000000          \n",
       "25                                           58.353230          \n",
       "26                                           99.710902          \n",
       "27                                          100.000000          \n",
       "28                                          100.000000          \n",
       "29                                          100.000000          \n",
       "..                                                 ...          \n",
       "239                                          97.227906          \n",
       "240                                          97.269219          \n",
       "241                                          42.812959          \n",
       "242                                          84.272316          \n",
       "243                                          34.333636          \n",
       "244                                          82.158725          \n",
       "245                                          97.431377          \n",
       "246                                          96.994920          \n",
       "247                                          96.959246          \n",
       "248                                          90.209656          \n",
       "249                                         100.000000          \n",
       "250                                                NaN          \n",
       "251                                          99.900831          \n",
       "252                                          72.485615          \n",
       "253                                          78.860471          \n",
       "254                                          99.992451          \n",
       "255                                          40.292501          \n",
       "256                                          77.426679          \n",
       "257                                          84.492836          \n",
       "258                                          84.492836          \n",
       "259                                          39.399695          \n",
       "260                                          39.394007          \n",
       "261                                          39.399695          \n",
       "262                                          99.191467          \n",
       "263                                          86.778707          \n",
       "264                                                NaN          \n",
       "265                                                NaN          \n",
       "266                                                NaN          \n",
       "267                                                NaN          \n",
       "268                                                NaN          \n",
       "\n",
       "     Agricultural land (% of land area) [AG.LND.AGRI.ZS]  \\\n",
       "0                                            58.067580     \n",
       "1                                            42.857666     \n",
       "2                                            17.405929     \n",
       "3                                            24.500000     \n",
       "4                                            40.021275     \n",
       "5                                            47.477340     \n",
       "6                                            20.454545     \n",
       "7                                            54.335712     \n",
       "8                                            58.893570     \n",
       "9                                            11.111111     \n",
       "10                                           47.630657     \n",
       "11                                           32.941726     \n",
       "12                                           57.701752     \n",
       "13                                            1.398601     \n",
       "14                                           11.053985     \n",
       "15                                           70.386727     \n",
       "16                                           25.581395     \n",
       "17                                           42.242016     \n",
       "18                                           43.857332     \n",
       "19                                            7.014467     \n",
       "20                                           33.256474     \n",
       "21                                            5.555556     \n",
       "22                                           13.789122     \n",
       "23                                           34.765070     \n",
       "24                                           42.500000     \n",
       "25                                           45.633017     \n",
       "26                                           33.988782     \n",
       "27                                           46.666667     \n",
       "28                                            2.732448     \n",
       "29                                           46.167096     \n",
       "..                                                 ...     \n",
       "239                                          38.004919     \n",
       "240                                          37.619114     \n",
       "241                                          38.749190     \n",
       "242                                          38.343081     \n",
       "243                                          39.768807     \n",
       "244                                          45.900366     \n",
       "245                                          33.316101     \n",
       "246                                          22.878483     \n",
       "247                                          22.860048     \n",
       "248                                          38.095292     \n",
       "249                                          25.684963     \n",
       "250                                                NaN     \n",
       "251                                          34.218083     \n",
       "252                                          40.400360     \n",
       "253                                          13.437695     \n",
       "254                                          33.607978     \n",
       "255                                          41.324807     \n",
       "256                                          34.179070     \n",
       "257                                          56.666746     \n",
       "258                                          56.666746     \n",
       "259                                          43.679445     \n",
       "260                                          43.680318     \n",
       "261                                          43.679445     \n",
       "262                                          35.403619     \n",
       "263                                          37.421819     \n",
       "264                                                NaN     \n",
       "265                                                NaN     \n",
       "266                                                NaN     \n",
       "267                                                NaN     \n",
       "268                                                NaN     \n",
       "\n",
       "     Bank capital to assets ratio (%) [FB.BNK.CAPA.ZS]  \\\n",
       "0                                             9.232694   \n",
       "1                                             9.526138   \n",
       "2                                             8.826316   \n",
       "3                                                  NaN   \n",
       "4                                                  NaN   \n",
       "5                                             8.421779   \n",
       "6                                             5.641336   \n",
       "7                                            12.280693   \n",
       "8                                            14.684982   \n",
       "9                                                  NaN   \n",
       "10                                            5.965101   \n",
       "11                                            7.446891   \n",
       "12                                                 NaN   \n",
       "13                                                 NaN   \n",
       "14                                                 NaN   \n",
       "15                                            5.433619   \n",
       "16                                                 NaN   \n",
       "17                                           12.822041   \n",
       "18                                            6.783034   \n",
       "19                                                 NaN   \n",
       "20                                                 NaN   \n",
       "21                                                 NaN   \n",
       "22                                           17.611394   \n",
       "23                                            7.037981   \n",
       "24                                           14.098266   \n",
       "25                                            8.524321   \n",
       "26                                            8.460618   \n",
       "27                                                 NaN   \n",
       "28                                           13.232282   \n",
       "29                                           12.015902   \n",
       "..                                                 ...   \n",
       "239                                                NaN   \n",
       "240                                                NaN   \n",
       "241                                                NaN   \n",
       "242                                                NaN   \n",
       "243                                                NaN   \n",
       "244                                                NaN   \n",
       "245                                                NaN   \n",
       "246                                                NaN   \n",
       "247                                                NaN   \n",
       "248                                                NaN   \n",
       "249                                                NaN   \n",
       "250                                                NaN   \n",
       "251                                                NaN   \n",
       "252                                                NaN   \n",
       "253                                                NaN   \n",
       "254                                                NaN   \n",
       "255                                                NaN   \n",
       "256                                                NaN   \n",
       "257                                                NaN   \n",
       "258                                                NaN   \n",
       "259                                                NaN   \n",
       "260                                                NaN   \n",
       "261                                                NaN   \n",
       "262                                                NaN   \n",
       "263                                                NaN   \n",
       "264                                                NaN   \n",
       "265                                                NaN   \n",
       "266                                                NaN   \n",
       "267                                                NaN   \n",
       "268                                                NaN   \n",
       "\n",
       "     Secondary education, pupils [SE.SEC.ENRL]  \\\n",
       "0                                    2698816.0   \n",
       "1                                     315079.0   \n",
       "2                                          NaN   \n",
       "3                                          NaN   \n",
       "4                                       4395.0   \n",
       "5                                          NaN   \n",
       "6                                       8048.0   \n",
       "7                                    4501734.0   \n",
       "8                                     240291.0   \n",
       "9                                          NaN   \n",
       "10                                   2709319.0   \n",
       "11                                    691071.3   \n",
       "12                                         NaN   \n",
       "13                                     25766.0   \n",
       "14                                     92454.0   \n",
       "15                                  14600000.0   \n",
       "16                                     20554.0   \n",
       "17                                    644153.0   \n",
       "18                                   1217912.0   \n",
       "19                                     37856.0   \n",
       "20                                    963787.0   \n",
       "21                                      4040.0   \n",
       "22                                     74320.0   \n",
       "23                                   1153379.0   \n",
       "24                                    278071.0   \n",
       "25                                         NaN   \n",
       "26                                  23500000.0   \n",
       "27                                      2027.0   \n",
       "28                                     47249.0   \n",
       "29                                    501398.0   \n",
       "..                                         ...   \n",
       "239                                 61400000.0   \n",
       "240                                 62900000.0   \n",
       "241                                 58600000.0   \n",
       "242                                492000000.0   \n",
       "243                                 37400000.0   \n",
       "244                                250000000.0   \n",
       "245                                 35500000.0   \n",
       "246                                 30100000.0   \n",
       "247                                 29400000.0   \n",
       "248                                455000000.0   \n",
       "249                                 27100000.0   \n",
       "250                                        NaN   \n",
       "251                                109000000.0   \n",
       "252                                  2019982.0   \n",
       "253                                        NaN   \n",
       "254                                 84000000.0   \n",
       "255                                 49000000.0   \n",
       "256                                  2815803.0   \n",
       "257                                165000000.0   \n",
       "258                                165000000.0   \n",
       "259                                 58900000.0   \n",
       "260                                 58900000.0   \n",
       "261                                 58900000.0   \n",
       "262                                204000000.0   \n",
       "263                                583000000.0   \n",
       "264                                        NaN   \n",
       "265                                        NaN   \n",
       "266                                        NaN   \n",
       "267                                        NaN   \n",
       "268                                        NaN   \n",
       "\n",
       "     GDP per capita (current US$) [NY.GDP.PCAP.CD]  \\\n",
       "0                                       578.466353   \n",
       "1                                      3952.830781   \n",
       "2                                      4177.888966   \n",
       "3                                     11843.331183   \n",
       "4                                     36039.653496   \n",
       "5                                      4166.979684   \n",
       "6                                     14526.588085   \n",
       "7                                     13789.060425   \n",
       "8                                      3607.296697   \n",
       "9                                     25796.380251   \n",
       "10                                    56748.420261   \n",
       "11                                    44176.671743   \n",
       "12                                     5500.320497   \n",
       "13                                    31512.856555   \n",
       "14                                    22688.944400   \n",
       "15                                     1248.453398   \n",
       "16                                    16066.471800   \n",
       "17                                     5949.106307   \n",
       "18                                    40441.052042   \n",
       "19                                     4883.179011   \n",
       "20                                      783.963078   \n",
       "21                                             NaN   \n",
       "22                                     2829.891245   \n",
       "23                                     3035.972215   \n",
       "24                                     4727.277546   \n",
       "25                                     6799.875234   \n",
       "26                                     8814.000987   \n",
       "27                                             NaN   \n",
       "28                                    31164.562029   \n",
       "29                                     6993.783483   \n",
       "..                                             ...   \n",
       "239                                    8449.223414   \n",
       "240                                    8716.406758   \n",
       "241                                    1020.578572   \n",
       "242                                    4418.337014   \n",
       "243                                     792.208130   \n",
       "244                                    1995.940544   \n",
       "245                                    7388.593939   \n",
       "246                                    3960.769906   \n",
       "247                                    3972.175733   \n",
       "248                                    4850.346612   \n",
       "249                                   55476.896706   \n",
       "250                                            NaN   \n",
       "251                                   36604.036210   \n",
       "252                                   12832.040131   \n",
       "253                                    3782.032777   \n",
       "254                                   40474.337602   \n",
       "255                                    1585.942265   \n",
       "256                                   11732.173394   \n",
       "257                                    1541.835813   \n",
       "258                                    1541.835813   \n",
       "259                                    1669.443418   \n",
       "260                                    1668.215982   \n",
       "261                                    1669.443418   \n",
       "262                                    8032.489459   \n",
       "263                                   10217.656013   \n",
       "264                                            NaN   \n",
       "265                                            NaN   \n",
       "266                                            NaN   \n",
       "267                                            NaN   \n",
       "268                                            NaN   \n",
       "\n",
       "     Rural population (% of total population) [SP.RUR.TOTL.ZS]  \\\n",
       "0                                            75.197000           \n",
       "1                                            42.566000           \n",
       "2                                            29.152000           \n",
       "3                                            12.762000           \n",
       "4                                            11.655000           \n",
       "5                                            36.554000           \n",
       "6                                            75.000000           \n",
       "7                                             8.497000           \n",
       "8                                            36.915000           \n",
       "9                                            56.892000           \n",
       "10                                           14.299000           \n",
       "11                                           42.285000           \n",
       "12                                           45.286000           \n",
       "13                                           17.254000           \n",
       "14                                           11.001000           \n",
       "15                                           65.692000           \n",
       "16                                           68.751000           \n",
       "17                                           22.819000           \n",
       "18                                            2.124000           \n",
       "19                                           54.594000           \n",
       "20                                           54.305000           \n",
       "21                                            0.000000           \n",
       "22                                           61.322000           \n",
       "23                                           31.607000           \n",
       "24                                           52.827000           \n",
       "25                                           32.845000           \n",
       "26                                           14.230000           \n",
       "27                                           53.417000           \n",
       "28                                           23.337000           \n",
       "29                                           26.010000           \n",
       "..                                                 ...           \n",
       "239                                          20.359647           \n",
       "240                                          20.149901           \n",
       "241                                          67.998731           \n",
       "242                                          51.297339           \n",
       "243                                          68.712638           \n",
       "244                                          60.882354           \n",
       "245                                          35.629099           \n",
       "246                                          39.398369           \n",
       "247                                          39.573662           \n",
       "248                                          49.226131           \n",
       "249                                          18.366906           \n",
       "250                                                NaN           \n",
       "251                                          19.990396           \n",
       "252                                          39.404635           \n",
       "253                                          61.958740           \n",
       "254                                          19.254039           \n",
       "255                                          60.406110           \n",
       "256                                          42.622785           \n",
       "257                                          67.262439           \n",
       "258                                          67.262439           \n",
       "259                                          61.408927           \n",
       "260                                          61.410505           \n",
       "261                                          61.408927           \n",
       "262                                          36.213422           \n",
       "263                                          46.086627           \n",
       "264                                                NaN           \n",
       "265                                                NaN           \n",
       "266                                                NaN           \n",
       "267                                                NaN           \n",
       "268                                                NaN           \n",
       "\n",
       "                                                                      ...                                                                     \\\n",
       "0                                                                     ...                                                                      \n",
       "1                                                                     ...                                                                      \n",
       "2                                                                     ...                                                                      \n",
       "3                                                                     ...                                                                      \n",
       "4                                                                     ...                                                                      \n",
       "5                                                                     ...                                                                      \n",
       "6                                                                     ...                                                                      \n",
       "7                                                                     ...                                                                      \n",
       "8                                                                     ...                                                                      \n",
       "9                                                                     ...                                                                      \n",
       "10                                                                    ...                                                                      \n",
       "11                                                                    ...                                                                      \n",
       "12                                                                    ...                                                                      \n",
       "13                                                                    ...                                                                      \n",
       "14                                                                    ...                                                                      \n",
       "15                                                                    ...                                                                      \n",
       "16                                                                    ...                                                                      \n",
       "17                                                                    ...                                                                      \n",
       "18                                                                    ...                                                                      \n",
       "19                                                                    ...                                                                      \n",
       "20                                                                    ...                                                                      \n",
       "21                                                                    ...                                                                      \n",
       "22                                                                    ...                                                                      \n",
       "23                                                                    ...                                                                      \n",
       "24                                                                    ...                                                                      \n",
       "25                                                                    ...                                                                      \n",
       "26                                                                    ...                                                                      \n",
       "27                                                                    ...                                                                      \n",
       "28                                                                    ...                                                                      \n",
       "29                                                                    ...                                                                      \n",
       "..                                                                    ...                                                                      \n",
       "239                                                                   ...                                                                      \n",
       "240                                                                   ...                                                                      \n",
       "241                                                                   ...                                                                      \n",
       "242                                                                   ...                                                                      \n",
       "243                                                                   ...                                                                      \n",
       "244                                                                   ...                                                                      \n",
       "245                                                                   ...                                                                      \n",
       "246                                                                   ...                                                                      \n",
       "247                                                                   ...                                                                      \n",
       "248                                                                   ...                                                                      \n",
       "249                                                                   ...                                                                      \n",
       "250                                                                   ...                                                                      \n",
       "251                                                                   ...                                                                      \n",
       "252                                                                   ...                                                                      \n",
       "253                                                                   ...                                                                      \n",
       "254                                                                   ...                                                                      \n",
       "255                                                                   ...                                                                      \n",
       "256                                                                   ...                                                                      \n",
       "257                                                                   ...                                                                      \n",
       "258                                                                   ...                                                                      \n",
       "259                                                                   ...                                                                      \n",
       "260                                                                   ...                                                                      \n",
       "261                                                                   ...                                                                      \n",
       "262                                                                   ...                                                                      \n",
       "263                                                                   ...                                                                      \n",
       "264                                                                   ...                                                                      \n",
       "265                                                                   ...                                                                      \n",
       "266                                                                   ...                                                                      \n",
       "267                                                                   ...                                                                      \n",
       "268                                                                   ...                                                                      \n",
       "\n",
       "     Children out of school (% of primary school age) [SE.PRM.UNER.ZS]  \\\n",
       "0                                                  NaN                   \n",
       "1                                              2.20127                   \n",
       "2                                              0.68412                   \n",
       "3                                                  NaN                   \n",
       "4                                                  NaN                   \n",
       "5                                                  NaN                   \n",
       "6                                              1.21900                   \n",
       "7                                              0.05630                   \n",
       "8                                              6.96742                   \n",
       "9                                                  NaN                   \n",
       "10                                             0.08832                   \n",
       "11                                             0.47045                   \n",
       "12                                             1.15667                   \n",
       "13                                            18.40080                   \n",
       "14                                             1.31748                   \n",
       "15                                                 NaN                   \n",
       "16                                             4.15157                   \n",
       "17                                             1.50754                   \n",
       "18                                             0.97579                   \n",
       "19                                             0.41269                   \n",
       "20                                                 NaN                   \n",
       "21                                                 NaN                   \n",
       "22                                             9.86584                   \n",
       "23                                            11.03696                   \n",
       "24                                                 NaN                   \n",
       "25                                                 NaN                   \n",
       "26                                                 NaN                   \n",
       "27                                                 NaN                   \n",
       "28                                             0.68014                   \n",
       "29                                             7.81204                   \n",
       "..                                                 ...                   \n",
       "239                                            3.18495                   \n",
       "240                                            3.19511                   \n",
       "241                                           17.28761                   \n",
       "242                                            9.19518                   \n",
       "243                                           18.02432                   \n",
       "244                                           10.24032                   \n",
       "245                                            5.32258                   \n",
       "246                                            5.97224                   \n",
       "247                                            5.99216                   \n",
       "248                                            7.41438                   \n",
       "249                                            1.68982                   \n",
       "250                                                NaN                   \n",
       "251                                            1.59925                   \n",
       "252                                           13.52198                   \n",
       "253                                            2.98979                   \n",
       "254                                            1.67123                   \n",
       "255                                           22.66607                   \n",
       "256                                           11.72521                   \n",
       "257                                            7.78734                   \n",
       "258                                            7.78734                   \n",
       "259                                           20.04884                   \n",
       "260                                           20.04984                   \n",
       "261                                           20.04884                   \n",
       "262                                            2.99216                   \n",
       "263                                            8.37648                   \n",
       "264                                                NaN                   \n",
       "265                                                NaN                   \n",
       "266                                                NaN                   \n",
       "267                                                NaN                   \n",
       "268                                                NaN                   \n",
       "\n",
       "     Pupil-teacher ratio, primary [SE.PRM.ENRL.TC.ZS]  \\\n",
       "0                                            44.32877   \n",
       "1                                            18.61557   \n",
       "2                                            23.83613   \n",
       "3                                                 NaN   \n",
       "4                                             9.93795   \n",
       "5                                            50.02951   \n",
       "6                                            14.33428   \n",
       "7                                                 NaN   \n",
       "8                                                 NaN   \n",
       "9                                                 NaN   \n",
       "10                                                NaN   \n",
       "11                                           10.58415   \n",
       "12                                           13.49787   \n",
       "13                                           21.04116   \n",
       "14                                           11.73164   \n",
       "15                                                NaN   \n",
       "16                                           13.40321   \n",
       "17                                           17.57007   \n",
       "18                                           11.23127   \n",
       "19                                           20.43642   \n",
       "20                                           45.04478   \n",
       "21                                           10.41960   \n",
       "22                                           40.00443   \n",
       "23                                           18.10837   \n",
       "24                                           17.16401   \n",
       "25                                           23.71279   \n",
       "26                                           20.58529   \n",
       "27                                           11.74126   \n",
       "28                                           10.01661   \n",
       "29                                                NaN   \n",
       "..                                                ...   \n",
       "239                                          21.98897   \n",
       "240                                          22.15856   \n",
       "241                                          38.00919   \n",
       "242                                          25.04042   \n",
       "243                                          40.13131   \n",
       "244                                          28.01515   \n",
       "245                                          19.94048   \n",
       "246                                          22.27264   \n",
       "247                                          22.25553   \n",
       "248                                          23.27888   \n",
       "249                                          14.66827   \n",
       "250                                               NaN   \n",
       "251                                          15.65422   \n",
       "252                                          23.55641   \n",
       "253                                          23.90217   \n",
       "254                                          14.30129   \n",
       "255                                          35.34598   \n",
       "256                                          22.66048   \n",
       "257                                          32.72140   \n",
       "258                                          32.72140   \n",
       "259                                          37.50596   \n",
       "260                                          37.50958   \n",
       "261                                          37.50596   \n",
       "262                                          18.32687   \n",
       "263                                          23.10596   \n",
       "264                                               NaN   \n",
       "265                                               NaN   \n",
       "266                                               NaN   \n",
       "267                                               NaN   \n",
       "268                                               NaN   \n",
       "\n",
       "     Gross intake ratio in first grade of primary education, total (% of relevant age group) [SE.PRM.GINT.ZS]  \\\n",
       "0                                            108.47540                                                          \n",
       "1                                            111.00670                                                          \n",
       "2                                            108.11130                                                          \n",
       "3                                                  NaN                                                          \n",
       "4                                                  NaN                                                          \n",
       "5                                                  NaN                                                          \n",
       "6                                            114.36870                                                          \n",
       "7                                            105.51890                                                          \n",
       "8                                             96.09745                                                          \n",
       "9                                                  NaN                                                          \n",
       "10                                                 NaN                                                          \n",
       "11                                            98.79947                                                          \n",
       "12                                           101.24680                                                          \n",
       "13                                            87.15463                                                          \n",
       "14                                           101.52670                                                          \n",
       "15                                           116.77140                                                          \n",
       "16                                                 NaN                                                          \n",
       "17                                           102.54340                                                          \n",
       "18                                            98.58350                                                          \n",
       "19                                           105.28140                                                          \n",
       "20                                           161.96450                                                          \n",
       "21                                            70.75038                                                          \n",
       "22                                                 NaN                                                          \n",
       "23                                            94.79886                                                          \n",
       "24                                                 NaN                                                          \n",
       "25                                                 NaN                                                          \n",
       "26                                                 NaN                                                          \n",
       "27                                           144.15950                                                          \n",
       "28                                           105.70140                                                          \n",
       "29                                            92.22758                                                          \n",
       "..                                                 ...                                                          \n",
       "239                                          100.59590                                                          \n",
       "240                                          100.58080                                                          \n",
       "241                                          124.90740                                                          \n",
       "242                                          105.88380                                                          \n",
       "243                                          126.88010                                                          \n",
       "244                                          103.76270                                                          \n",
       "245                                          103.75720                                                          \n",
       "246                                          102.81930                                                          \n",
       "247                                          102.90540                                                          \n",
       "248                                          101.85240                                                          \n",
       "249                                          102.55240                                                          \n",
       "250                                                NaN                                                          \n",
       "251                                          101.37450                                                          \n",
       "252                                          106.18460                                                          \n",
       "253                                          107.85100                                                          \n",
       "254                                           99.79988                                                          \n",
       "255                                          111.45690                                                          \n",
       "256                                          104.49780                                                          \n",
       "257                                          104.58130                                                          \n",
       "258                                          104.58130                                                          \n",
       "259                                          114.13590                                                          \n",
       "260                                          114.13660                                                          \n",
       "261                                          114.13590                                                          \n",
       "262                                           98.66924                                                          \n",
       "263                                          105.48740                                                          \n",
       "264                                                NaN                                                          \n",
       "265                                                NaN                                                          \n",
       "266                                                NaN                                                          \n",
       "267                                                NaN                                                          \n",
       "268                                                NaN                                                          \n",
       "\n",
       "     School enrollment, primary (gross), gender parity index (GPI) [SE.ENR.PRIM.FM.ZS]  \\\n",
       "0                                              0.68839                                   \n",
       "1                                              1.03130                                   \n",
       "2                                              0.95230                                   \n",
       "3                                                  NaN                                   \n",
       "4                                                  NaN                                   \n",
       "5                                              0.87413                                   \n",
       "6                                              0.96619                                   \n",
       "7                                              0.99881                                   \n",
       "8                                              1.01521                                   \n",
       "9                                                  NaN                                   \n",
       "10                                             1.00029                                   \n",
       "11                                             0.99097                                   \n",
       "12                                             0.98318                                   \n",
       "13                                             0.97338                                   \n",
       "14                                             1.00991                                   \n",
       "15                                                 NaN                                   \n",
       "16                                             0.99302                                   \n",
       "17                                             1.00156                                   \n",
       "18                                             0.99830                                   \n",
       "19                                             0.95398                                   \n",
       "20                                             0.93024                                   \n",
       "21                                             0.98176                                   \n",
       "22                                             1.01085                                   \n",
       "23                                             0.97941                                   \n",
       "24                                                 NaN                                   \n",
       "25                                             0.97776                                   \n",
       "26                                             0.95945                                   \n",
       "27                                             0.93656                                   \n",
       "28                                             0.99665                                   \n",
       "29                                             0.98992                                   \n",
       "..                                                 ...                                   \n",
       "239                                            0.97994                                   \n",
       "240                                            0.98006                                   \n",
       "241                                            0.95360                                   \n",
       "242                                            0.99937                                   \n",
       "243                                            0.93673                                   \n",
       "244                                            1.02658                                   \n",
       "245                                            0.96846                                   \n",
       "246                                            0.96236                                   \n",
       "247                                            0.96197                                   \n",
       "248                                            1.01251                                   \n",
       "249                                            1.00044                                   \n",
       "250                                                NaN                                   \n",
       "251                                            0.99900                                   \n",
       "252                                            0.97958                                   \n",
       "253                                            0.98431                                   \n",
       "254                                            1.00009                                   \n",
       "255                                            0.94119                                   \n",
       "256                                            0.98353                                   \n",
       "257                                            1.06133                                   \n",
       "258                                            1.06133                                   \n",
       "259                                            0.95645                                   \n",
       "260                                            0.95645                                   \n",
       "261                                            0.95645                                   \n",
       "262                                            0.99007                                   \n",
       "263                                            0.99946                                   \n",
       "264                                                NaN                                   \n",
       "265                                                NaN                                   \n",
       "266                                                NaN                                   \n",
       "267                                                NaN                                   \n",
       "268                                                NaN                                   \n",
       "\n",
       "     Unemployment, total (% of total labor force) (modeled ILO estimate) [SL.UEM.TOTL.ZS]  \\\n",
       "0                                             1.679000                                      \n",
       "1                                            17.080000                                      \n",
       "2                                            11.206000                                      \n",
       "3                                                  NaN                                      \n",
       "4                                                  NaN                                      \n",
       "5                                             7.279000                                      \n",
       "6                                                  NaN                                      \n",
       "7                                             7.643000                                      \n",
       "8                                            18.261000                                      \n",
       "9                                                  NaN                                      \n",
       "10                                            6.056000                                      \n",
       "11                                            5.723000                                      \n",
       "12                                            4.960000                                      \n",
       "13                                           12.000000                                      \n",
       "14                                            1.076000                                      \n",
       "15                                            4.416000                                      \n",
       "16                                           11.350000                                      \n",
       "17                                            5.913000                                      \n",
       "18                                            8.482000                                      \n",
       "19                                            9.970000                                      \n",
       "20                                            2.463000                                      \n",
       "21                                                 NaN                                      \n",
       "22                                            2.450000                                      \n",
       "23                                            3.066000                                      \n",
       "24                                           27.650000                                      \n",
       "25                                           17.955999                                      \n",
       "26                                            8.437000                                      \n",
       "27                                                 NaN                                      \n",
       "28                                            7.756000                                      \n",
       "29                                            9.143000                                      \n",
       "..                                                 ...                                      \n",
       "239                                           6.644718                                      \n",
       "240                                           6.686993                                      \n",
       "241                                           4.027290                                      \n",
       "242                                           4.911082                                      \n",
       "243                                           3.760173                                      \n",
       "244                                           4.130142                                      \n",
       "245                                           9.906036                                      \n",
       "246                                          11.587813                                      \n",
       "247                                          11.437460                                      \n",
       "248                                           5.035677                                      \n",
       "249                                           5.457251                                      \n",
       "250                                                NaN                                      \n",
       "251                                           6.770438                                      \n",
       "252                                          10.238516                                      \n",
       "253                                           3.906251                                      \n",
       "254                                           6.869027                                      \n",
       "255                                           5.122494                                      \n",
       "256                                          10.042463                                      \n",
       "257                                           2.992069                                      \n",
       "258                                           2.992069                                      \n",
       "259                                           6.076070                                      \n",
       "260                                           6.076070                                      \n",
       "261                                           6.076070                                      \n",
       "262                                           5.802802                                      \n",
       "263                                           5.216669                                      \n",
       "264                                                NaN                                      \n",
       "265                                                NaN                                      \n",
       "266                                                NaN                                      \n",
       "267                                                NaN                                      \n",
       "268                                                NaN                                      \n",
       "\n",
       "     Population, total [SP.POP.TOTL]  \\\n",
       "0                       3.441360e+07   \n",
       "1                       2.880703e+06   \n",
       "2                       3.972802e+07   \n",
       "3                       5.581200e+04   \n",
       "4                       7.801100e+04   \n",
       "5                       2.788438e+07   \n",
       "6                       9.356600e+04   \n",
       "7                       4.313197e+07   \n",
       "8                       2.925553e+06   \n",
       "9                       1.043410e+05   \n",
       "10                      2.381600e+07   \n",
       "11                      8.642699e+06   \n",
       "12                      9.649341e+06   \n",
       "13                      3.742060e+05   \n",
       "14                      1.371851e+06   \n",
       "15                      1.562563e+08   \n",
       "16                      2.853240e+05   \n",
       "17                      9.489616e+06   \n",
       "18                      1.127420e+07   \n",
       "19                      3.609330e+05   \n",
       "20                      1.057595e+07   \n",
       "21                      6.523900e+04   \n",
       "22                      7.278760e+05   \n",
       "23                      1.086973e+07   \n",
       "24                      3.429361e+06   \n",
       "25                      2.120716e+06   \n",
       "26                      2.044718e+08   \n",
       "27                      2.915200e+04   \n",
       "28                      4.149070e+05   \n",
       "29                      7.177991e+06   \n",
       "..                               ...   \n",
       "239                     5.914168e+08   \n",
       "240                     6.069570e+08   \n",
       "241                     9.411313e+08   \n",
       "242                     6.149221e+09   \n",
       "243                     6.534052e+08   \n",
       "244                     2.898058e+09   \n",
       "245                     4.258218e+08   \n",
       "246                     3.639756e+08   \n",
       "247                     3.597055e+08   \n",
       "248                     5.495816e+09   \n",
       "249                     3.565108e+08   \n",
       "250                              NaN   \n",
       "251                     1.280467e+09   \n",
       "252                     2.894887e+07   \n",
       "253                     2.355672e+06   \n",
       "254                     1.097025e+09   \n",
       "255                     8.457593e+08   \n",
       "256                     3.852675e+07   \n",
       "257                     1.749417e+09   \n",
       "258                     1.749417e+09   \n",
       "259                     9.954585e+08   \n",
       "260                     9.953651e+08   \n",
       "261                     9.954585e+08   \n",
       "262                     2.597758e+09   \n",
       "263                     7.340548e+09   \n",
       "264                              NaN   \n",
       "265                              NaN   \n",
       "266                              NaN   \n",
       "267                              NaN   \n",
       "268                              NaN   \n",
       "\n",
       "     Proportion of seats held by women in national parliaments (%) [SG.GEN.PARL.ZS]  \\\n",
       "0                                            27.700000                                \n",
       "1                                            20.700000                                \n",
       "2                                            31.600000                                \n",
       "3                                                  NaN                                \n",
       "4                                            39.300000                                \n",
       "5                                            36.800000                                \n",
       "6                                            11.100000                                \n",
       "7                                                  NaN                                \n",
       "8                                            10.700000                                \n",
       "9                                                  NaN                                \n",
       "10                                           26.700000                                \n",
       "11                                           30.600000                                \n",
       "12                                           16.900000                                \n",
       "13                                           13.200000                                \n",
       "14                                            7.500000                                \n",
       "15                                           20.000000                                \n",
       "16                                           16.700000                                \n",
       "17                                           27.300000                                \n",
       "18                                           39.300000                                \n",
       "19                                            3.100000                                \n",
       "20                                            7.200000                                \n",
       "21                                                 NaN                                \n",
       "22                                            8.500000                                \n",
       "23                                           53.100000                                \n",
       "24                                           21.400000                                \n",
       "25                                            9.500000                                \n",
       "26                                            9.900000                                \n",
       "27                                                 NaN                                \n",
       "28                                                 NaN                                \n",
       "29                                           20.400000                                \n",
       "..                                                 ...                                \n",
       "239                                          29.205806                                \n",
       "240                                          24.268971                                \n",
       "241                                          23.044322                                \n",
       "242                                          21.563994                                \n",
       "243                                          22.041572                                \n",
       "244                                          20.070013                                \n",
       "245                                          16.388246                                \n",
       "246                                          16.902135                                \n",
       "247                                          16.902135                                \n",
       "248                                          21.410397                                \n",
       "249                                          22.289637                                \n",
       "250                                                NaN                                \n",
       "251                                          27.959368                                \n",
       "252                                          18.619645                                \n",
       "253                                           5.677297                                \n",
       "254                                          28.578706                                \n",
       "255                                          21.842412                                \n",
       "256                                          16.944457                                \n",
       "257                                          19.315546                                \n",
       "258                                          19.315546                                \n",
       "259                                          23.640948                                \n",
       "260                                          23.566474                                \n",
       "261                                          23.640948                                \n",
       "262                                          22.366320                                \n",
       "263                                          22.852166                                \n",
       "264                                                NaN                                \n",
       "265                                                NaN                                \n",
       "266                                                NaN                                \n",
       "267                                                NaN                                \n",
       "268                                                NaN                                \n",
       "\n",
       "     Total debt service (% of GNI) [DT.TDS.DECT.GN.ZS]  \\\n",
       "0                                             0.281553   \n",
       "1                                            10.232012   \n",
       "2                                             0.427837   \n",
       "3                                                  NaN   \n",
       "4                                                  NaN   \n",
       "5                                             7.120381   \n",
       "6                                                  NaN   \n",
       "7                                             3.067487   \n",
       "8                                            14.056075   \n",
       "9                                                  NaN   \n",
       "10                                                 NaN   \n",
       "11                                                 NaN   \n",
       "12                                            3.738718   \n",
       "13                                                 NaN   \n",
       "14                                                 NaN   \n",
       "15                                            0.799568   \n",
       "16                                                 NaN   \n",
       "17                                            9.215903   \n",
       "18                                                 NaN   \n",
       "19                                            5.698321   \n",
       "20                                            0.928651   \n",
       "21                                                 NaN   \n",
       "22                                            6.726087   \n",
       "23                                            3.117661   \n",
       "24                                            4.713009   \n",
       "25                                            1.738097   \n",
       "26                                            5.095249   \n",
       "27                                                 NaN   \n",
       "28                                                 NaN   \n",
       "29                                           19.239487   \n",
       "..                                                 ...   \n",
       "239                                           4.728233   \n",
       "240                                           4.728233   \n",
       "241                                           1.888061   \n",
       "242                                           3.220309   \n",
       "243                                           1.206168   \n",
       "244                                           3.376731   \n",
       "245                                                NaN   \n",
       "246                                           2.400037   \n",
       "247                                           2.400037   \n",
       "248                                           3.251511   \n",
       "249                                                NaN   \n",
       "250                                                NaN   \n",
       "251                                                NaN   \n",
       "252                                                NaN   \n",
       "253                                           4.648064   \n",
       "254                                                NaN   \n",
       "255                                           1.470020   \n",
       "256                                                NaN   \n",
       "257                                           2.205866   \n",
       "258                                           2.205866   \n",
       "259                                           2.114839   \n",
       "260                                           2.114839   \n",
       "261                                           2.114839   \n",
       "262                                           3.214696   \n",
       "263                                                NaN   \n",
       "264                                                NaN   \n",
       "265                                                NaN   \n",
       "266                                                NaN   \n",
       "267                                                NaN   \n",
       "268                                                NaN   \n",
       "\n",
       "     GDP growth (annual %) [NY.GDP.MKTP.KD.ZG]  \\\n",
       "0                                     1.451315   \n",
       "1                                     2.230000   \n",
       "2                                     3.763467   \n",
       "3                                     1.248050   \n",
       "4                                     0.842204   \n",
       "5                                     0.943576   \n",
       "6                                     4.025737   \n",
       "7                                     2.731160   \n",
       "8                                     3.200000   \n",
       "9                                    -0.450586   \n",
       "10                                    2.336075   \n",
       "11                                    1.142980   \n",
       "12                                    1.050751   \n",
       "13                                    1.044960   \n",
       "14                                    2.861968   \n",
       "15                                    6.552653   \n",
       "16                                    0.904159   \n",
       "17                                   -3.829571   \n",
       "18                                    1.739580   \n",
       "19                                    3.431950   \n",
       "20                                    2.095808   \n",
       "21                                         NaN   \n",
       "22                                    6.644564   \n",
       "23                                    4.857188   \n",
       "24                                    3.088224   \n",
       "25                                   -1.697966   \n",
       "26                                   -3.545763   \n",
       "27                                         NaN   \n",
       "28                                   -0.566815   \n",
       "29                                    3.471186   \n",
       "..                                         ...   \n",
       "239                                  -0.064061   \n",
       "240                                   0.047912   \n",
       "241                                   4.047272   \n",
       "242                                   3.886911   \n",
       "243                                   2.874426   \n",
       "244                                   5.585129   \n",
       "245                                   2.509976   \n",
       "246                                   0.984978   \n",
       "247                                   0.965836   \n",
       "248                                   3.901337   \n",
       "249                                   2.664206   \n",
       "250                                        NaN   \n",
       "251                                   2.419495   \n",
       "252                                   2.793413   \n",
       "253                                   3.678485   \n",
       "254                                   2.109428   \n",
       "255                                   3.070877   \n",
       "256                                   2.572772   \n",
       "257                                   7.480021   \n",
       "258                                   7.480021   \n",
       "259                                   2.815844   \n",
       "260                                   2.814316   \n",
       "261                                   2.815844   \n",
       "262                                   3.411958   \n",
       "263                                   2.852939   \n",
       "264                                        NaN   \n",
       "265                                        NaN   \n",
       "266                                        NaN   \n",
       "267                                        NaN   \n",
       "268                                        NaN   \n",
       "\n",
       "     Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure [SH.UHC.OOPC.10.TO]  \n",
       "0                                                  NaN                                                                                        \n",
       "1                                                  NaN                                                                                        \n",
       "2                                                  NaN                                                                                        \n",
       "3                                                  NaN                                                                                        \n",
       "4                                                  NaN                                                                                        \n",
       "5                                                  NaN                                                                                        \n",
       "6                                                  NaN                                                                                        \n",
       "7                                                  NaN                                                                                        \n",
       "8                                                  NaN                                                                                        \n",
       "9                                                  NaN                                                                                        \n",
       "10                                                 NaN                                                                                        \n",
       "11                                                 NaN                                                                                        \n",
       "12                                                 NaN                                                                                        \n",
       "13                                                 NaN                                                                                        \n",
       "14                                                 NaN                                                                                        \n",
       "15                                                 NaN                                                                                        \n",
       "16                                                 NaN                                                                                        \n",
       "17                                                 NaN                                                                                        \n",
       "18                                                 NaN                                                                                        \n",
       "19                                                 NaN                                                                                        \n",
       "20                                                 NaN                                                                                        \n",
       "21                                                 NaN                                                                                        \n",
       "22                                                 NaN                                                                                        \n",
       "23                                                 NaN                                                                                        \n",
       "24                                                 NaN                                                                                        \n",
       "25                                                 NaN                                                                                        \n",
       "26                                                 NaN                                                                                        \n",
       "27                                                 NaN                                                                                        \n",
       "28                                                 NaN                                                                                        \n",
       "29                                                 NaN                                                                                        \n",
       "..                                                 ...                                                                                        \n",
       "239                                                NaN                                                                                        \n",
       "240                                                NaN                                                                                        \n",
       "241                                                NaN                                                                                        \n",
       "242                                                NaN                                                                                        \n",
       "243                                                NaN                                                                                        \n",
       "244                                                NaN                                                                                        \n",
       "245                                                NaN                                                                                        \n",
       "246                                                NaN                                                                                        \n",
       "247                                                NaN                                                                                        \n",
       "248                                                NaN                                                                                        \n",
       "249                                                NaN                                                                                        \n",
       "250                                                NaN                                                                                        \n",
       "251                                                NaN                                                                                        \n",
       "252                                                NaN                                                                                        \n",
       "253                                                NaN                                                                                        \n",
       "254                                                NaN                                                                                        \n",
       "255                                                NaN                                                                                        \n",
       "256                                                NaN                                                                                        \n",
       "257                                                NaN                                                                                        \n",
       "258                                                NaN                                                                                        \n",
       "259                                                NaN                                                                                        \n",
       "260                                                NaN                                                                                        \n",
       "261                                                NaN                                                                                        \n",
       "262                                                NaN                                                                                        \n",
       "263                                                NaN                                                                                        \n",
       "264                                                NaN                                                                                        \n",
       "265                                                NaN                                                                                        \n",
       "266                                                NaN                                                                                        \n",
       "267                                                NaN                                                                                        \n",
       "268                                                NaN                                                                                        \n",
       "\n",
       "[269 rows x 23 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Time                                                                                                                                         3\n",
       "Time Code                                                                                                                                    5\n",
       "Country Name                                                                                                                                 5\n",
       "Country Code                                                                                                                                 5\n",
       "Access to electricity (% of population) [EG.ELC.ACCS.ZS]                                                                                     8\n",
       "Agricultural land (% of land area) [AG.LND.AGRI.ZS]                                                                                         15\n",
       "Bank capital to assets ratio (%) [FB.BNK.CAPA.ZS]                                                                                          145\n",
       "Secondary education, pupils [SE.SEC.ENRL]                                                                                                   75\n",
       "GDP per capita (current US$) [NY.GDP.PCAP.CD]                                                                                               19\n",
       "Rural population (% of total population) [SP.RUR.TOTL.ZS]                                                                                    9\n",
       "Population density (people per sq. km of land area) [EN.POP.DNST]                                                                            9\n",
       "Life expectancy at birth, total (years) [SP.DYN.LE00.IN]                                                                                    23\n",
       "Adjusted net enrollment rate, primary (% of primary school age children) [SE.PRM.TENR]                                                      99\n",
       "Children out of school (% of primary school age) [SE.PRM.UNER.ZS]                                                                           92\n",
       "Pupil-teacher ratio, primary [SE.PRM.ENRL.TC.ZS]                                                                                            81\n",
       "Gross intake ratio in first grade of primary education, total (% of relevant age group) [SE.PRM.GINT.ZS]                                    79\n",
       "School enrollment, primary (gross), gender parity index (GPI) [SE.ENR.PRIM.FM.ZS]                                                           60\n",
       "Unemployment, total (% of total labor force) (modeled ILO estimate) [SL.UEM.TOTL.ZS]                                                        36\n",
       "Population, total [SP.POP.TOTL]                                                                                                              7\n",
       "Proportion of seats held by women in national parliaments (%) [SG.GEN.PARL.ZS]                                                              34\n",
       "Total debt service (% of GNI) [DT.TDS.DECT.GN.ZS]                                                                                          120\n",
       "GDP growth (annual %) [NY.GDP.MKTP.KD.ZG]                                                                                                   20\n",
       "Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure [SH.UHC.OOPC.10.TO]    266\n",
       "dtype: int64"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=data.drop(columns=[\"Time\",\"Time Code\",\"Country Name\",\"Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure [SH.UHC.OOPC.10.TO]\",\"Total debt service (% of GNI) [DT.TDS.DECT.GN.ZS]\",\"Bank capital to assets ratio (%) [FB.BNK.CAPA.ZS]\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country Code                                                                                                0\n",
       "Access to electricity (% of population) [EG.ELC.ACCS.ZS]                                                    0\n",
       "Agricultural land (% of land area) [AG.LND.AGRI.ZS]                                                         0\n",
       "Secondary education, pupils [SE.SEC.ENRL]                                                                   0\n",
       "GDP per capita (current US$) [NY.GDP.PCAP.CD]                                                               0\n",
       "Rural population (% of total population) [SP.RUR.TOTL.ZS]                                                   0\n",
       "Population density (people per sq. km of land area) [EN.POP.DNST]                                           0\n",
       "Life expectancy at birth, total (years) [SP.DYN.LE00.IN]                                                    0\n",
       "Adjusted net enrollment rate, primary (% of primary school age children) [SE.PRM.TENR]                      0\n",
       "Children out of school (% of primary school age) [SE.PRM.UNER.ZS]                                           0\n",
       "Pupil-teacher ratio, primary [SE.PRM.ENRL.TC.ZS]                                                            0\n",
       "Gross intake ratio in first grade of primary education, total (% of relevant age group) [SE.PRM.GINT.ZS]    0\n",
       "School enrollment, primary (gross), gender parity index (GPI) [SE.ENR.PRIM.FM.ZS]                           0\n",
       "Unemployment, total (% of total labor force) (modeled ILO estimate) [SL.UEM.TOTL.ZS]                        0\n",
       "Population, total [SP.POP.TOTL]                                                                             0\n",
       "Proportion of seats held by women in national parliaments (%) [SG.GEN.PARL.ZS]                              0\n",
       "GDP growth (annual %) [NY.GDP.MKTP.KD.ZG]                                                                   0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=data.dropna(axis='rows')\n",
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.index=data[\"Country Code\"]\n",
    "data=data.drop(columns=[\"Country Code\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Access to electricity (% of population) [EG.ELC.ACCS.ZS]</th>\n",
       "      <th>Agricultural land (% of land area) [AG.LND.AGRI.ZS]</th>\n",
       "      <th>Secondary education, pupils [SE.SEC.ENRL]</th>\n",
       "      <th>GDP per capita (current US$) [NY.GDP.PCAP.CD]</th>\n",
       "      <th>Rural population (% of total population) [SP.RUR.TOTL.ZS]</th>\n",
       "      <th>Population density (people per sq. km of land area) [EN.POP.DNST]</th>\n",
       "      <th>Life expectancy at birth, total (years) [SP.DYN.LE00.IN]</th>\n",
       "      <th>Adjusted net enrollment rate, primary (% of primary school age children) [SE.PRM.TENR]</th>\n",
       "      <th>Children out of school (% of primary school age) [SE.PRM.UNER.ZS]</th>\n",
       "      <th>Pupil-teacher ratio, primary [SE.PRM.ENRL.TC.ZS]</th>\n",
       "      <th>Gross intake ratio in first grade of primary education, total (% of relevant age group) [SE.PRM.GINT.ZS]</th>\n",
       "      <th>School enrollment, primary (gross), gender parity index (GPI) [SE.ENR.PRIM.FM.ZS]</th>\n",
       "      <th>Unemployment, total (% of total labor force) (modeled ILO estimate) [SL.UEM.TOTL.ZS]</th>\n",
       "      <th>Population, total [SP.POP.TOTL]</th>\n",
       "      <th>Proportion of seats held by women in national parliaments (%) [SG.GEN.PARL.ZS]</th>\n",
       "      <th>GDP growth (annual %) [NY.GDP.MKTP.KD.ZG]</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ALB</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.857666</td>\n",
       "      <td>315079.0</td>\n",
       "      <td>3952.830781</td>\n",
       "      <td>42.566000</td>\n",
       "      <td>105.135146</td>\n",
       "      <td>78.025000</td>\n",
       "      <td>97.79873</td>\n",
       "      <td>2.20127</td>\n",
       "      <td>18.61557</td>\n",
       "      <td>111.00670</td>\n",
       "      <td>1.03130</td>\n",
       "      <td>17.080000</td>\n",
       "      <td>2.880703e+06</td>\n",
       "      <td>20.700000</td>\n",
       "      <td>2.230000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUT</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>32.941726</td>\n",
       "      <td>691071.3</td>\n",
       "      <td>44176.671743</td>\n",
       "      <td>42.285000</td>\n",
       "      <td>104.730793</td>\n",
       "      <td>81.190244</td>\n",
       "      <td>88.62591</td>\n",
       "      <td>0.47045</td>\n",
       "      <td>10.58415</td>\n",
       "      <td>98.79947</td>\n",
       "      <td>0.99097</td>\n",
       "      <td>5.723000</td>\n",
       "      <td>8.642699e+06</td>\n",
       "      <td>30.600000</td>\n",
       "      <td>1.142980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHS</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>1.398601</td>\n",
       "      <td>25766.0</td>\n",
       "      <td>31512.856555</td>\n",
       "      <td>17.254000</td>\n",
       "      <td>37.383217</td>\n",
       "      <td>73.088000</td>\n",
       "      <td>79.96521</td>\n",
       "      <td>18.40080</td>\n",
       "      <td>21.04116</td>\n",
       "      <td>87.15463</td>\n",
       "      <td>0.97338</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3.742060e+05</td>\n",
       "      <td>13.200000</td>\n",
       "      <td>1.044960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHR</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>11.053985</td>\n",
       "      <td>92454.0</td>\n",
       "      <td>22688.944400</td>\n",
       "      <td>11.001000</td>\n",
       "      <td>1763.304558</td>\n",
       "      <td>76.762000</td>\n",
       "      <td>98.02753</td>\n",
       "      <td>1.31748</td>\n",
       "      <td>11.73164</td>\n",
       "      <td>101.52670</td>\n",
       "      <td>1.00991</td>\n",
       "      <td>1.076000</td>\n",
       "      <td>1.371851e+06</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>2.861968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BLR</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.242016</td>\n",
       "      <td>644153.0</td>\n",
       "      <td>5949.106307</td>\n",
       "      <td>22.819000</td>\n",
       "      <td>46.751942</td>\n",
       "      <td>73.624390</td>\n",
       "      <td>94.25545</td>\n",
       "      <td>1.50754</td>\n",
       "      <td>17.57007</td>\n",
       "      <td>102.54340</td>\n",
       "      <td>1.00156</td>\n",
       "      <td>5.913000</td>\n",
       "      <td>9.489616e+06</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>-3.829571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BEL</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>43.857332</td>\n",
       "      <td>1217912.0</td>\n",
       "      <td>40441.052042</td>\n",
       "      <td>2.124000</td>\n",
       "      <td>372.331440</td>\n",
       "      <td>80.992683</td>\n",
       "      <td>98.38347</td>\n",
       "      <td>0.97579</td>\n",
       "      <td>11.23127</td>\n",
       "      <td>98.58350</td>\n",
       "      <td>0.99830</td>\n",
       "      <td>8.482000</td>\n",
       "      <td>1.127420e+07</td>\n",
       "      <td>39.300000</td>\n",
       "      <td>1.739580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BLZ</th>\n",
       "      <td>91.800000</td>\n",
       "      <td>7.014467</td>\n",
       "      <td>37856.0</td>\n",
       "      <td>4883.179011</td>\n",
       "      <td>54.594000</td>\n",
       "      <td>15.823455</td>\n",
       "      <td>74.034000</td>\n",
       "      <td>99.28398</td>\n",
       "      <td>0.41269</td>\n",
       "      <td>20.43642</td>\n",
       "      <td>105.28140</td>\n",
       "      <td>0.95398</td>\n",
       "      <td>9.970000</td>\n",
       "      <td>3.609330e+05</td>\n",
       "      <td>3.100000</td>\n",
       "      <td>3.431950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOL</th>\n",
       "      <td>91.522822</td>\n",
       "      <td>34.765070</td>\n",
       "      <td>1153379.0</td>\n",
       "      <td>3035.972215</td>\n",
       "      <td>31.607000</td>\n",
       "      <td>10.033906</td>\n",
       "      <td>70.277000</td>\n",
       "      <td>88.70123</td>\n",
       "      <td>11.03696</td>\n",
       "      <td>18.10837</td>\n",
       "      <td>94.79886</td>\n",
       "      <td>0.97941</td>\n",
       "      <td>3.066000</td>\n",
       "      <td>1.086973e+07</td>\n",
       "      <td>53.100000</td>\n",
       "      <td>4.857188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BFA</th>\n",
       "      <td>21.789345</td>\n",
       "      <td>44.225146</td>\n",
       "      <td>965550.0</td>\n",
       "      <td>575.314454</td>\n",
       "      <td>72.470000</td>\n",
       "      <td>66.193801</td>\n",
       "      <td>59.919000</td>\n",
       "      <td>69.95995</td>\n",
       "      <td>29.94701</td>\n",
       "      <td>42.17715</td>\n",
       "      <td>105.40330</td>\n",
       "      <td>0.97444</td>\n",
       "      <td>6.704000</td>\n",
       "      <td>1.811062e+07</td>\n",
       "      <td>9.400000</td>\n",
       "      <td>3.894548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPV</th>\n",
       "      <td>88.378189</td>\n",
       "      <td>19.602978</td>\n",
       "      <td>58657.0</td>\n",
       "      <td>3043.013984</td>\n",
       "      <td>35.700000</td>\n",
       "      <td>130.209181</td>\n",
       "      <td>72.117000</td>\n",
       "      <td>93.38192</td>\n",
       "      <td>6.61165</td>\n",
       "      <td>21.94779</td>\n",
       "      <td>94.55465</td>\n",
       "      <td>0.93139</td>\n",
       "      <td>12.114000</td>\n",
       "      <td>5.247430e+05</td>\n",
       "      <td>20.800000</td>\n",
       "      <td>1.006864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMR</th>\n",
       "      <td>58.814274</td>\n",
       "      <td>20.625754</td>\n",
       "      <td>2108279.0</td>\n",
       "      <td>1326.969277</td>\n",
       "      <td>45.422000</td>\n",
       "      <td>49.286810</td>\n",
       "      <td>57.583000</td>\n",
       "      <td>95.19802</td>\n",
       "      <td>4.36570</td>\n",
       "      <td>41.46571</td>\n",
       "      <td>130.40900</td>\n",
       "      <td>0.89826</td>\n",
       "      <td>3.539000</td>\n",
       "      <td>2.329837e+07</td>\n",
       "      <td>31.100000</td>\n",
       "      <td>5.651464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCD</th>\n",
       "      <td>7.700000</td>\n",
       "      <td>39.656131</td>\n",
       "      <td>513248.0</td>\n",
       "      <td>775.707524</td>\n",
       "      <td>77.485000</td>\n",
       "      <td>11.206302</td>\n",
       "      <td>53.137000</td>\n",
       "      <td>79.35908</td>\n",
       "      <td>20.64092</td>\n",
       "      <td>55.54179</td>\n",
       "      <td>108.51380</td>\n",
       "      <td>0.76636</td>\n",
       "      <td>2.172000</td>\n",
       "      <td>1.411098e+07</td>\n",
       "      <td>14.900000</td>\n",
       "      <td>2.767676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHL</th>\n",
       "      <td>99.714844</td>\n",
       "      <td>21.229751</td>\n",
       "      <td>1546323.0</td>\n",
       "      <td>13574.171504</td>\n",
       "      <td>12.640000</td>\n",
       "      <td>24.167557</td>\n",
       "      <td>79.646000</td>\n",
       "      <td>93.47354</td>\n",
       "      <td>3.70606</td>\n",
       "      <td>18.37780</td>\n",
       "      <td>98.87218</td>\n",
       "      <td>0.97015</td>\n",
       "      <td>6.508000</td>\n",
       "      <td>1.796935e+07</td>\n",
       "      <td>15.800000</td>\n",
       "      <td>2.303767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COL</th>\n",
       "      <td>98.186898</td>\n",
       "      <td>40.257415</td>\n",
       "      <td>4793963.0</td>\n",
       "      <td>6175.876030</td>\n",
       "      <td>20.236000</td>\n",
       "      <td>42.830705</td>\n",
       "      <td>76.531000</td>\n",
       "      <td>96.38124</td>\n",
       "      <td>3.61876</td>\n",
       "      <td>24.23937</td>\n",
       "      <td>115.45720</td>\n",
       "      <td>0.96946</td>\n",
       "      <td>8.299000</td>\n",
       "      <td>4.752067e+07</td>\n",
       "      <td>19.900000</td>\n",
       "      <td>2.955946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRI</th>\n",
       "      <td>99.409804</td>\n",
       "      <td>34.860948</td>\n",
       "      <td>460252.0</td>\n",
       "      <td>11299.136177</td>\n",
       "      <td>23.138000</td>\n",
       "      <td>94.943282</td>\n",
       "      <td>79.565000</td>\n",
       "      <td>97.81775</td>\n",
       "      <td>1.88182</td>\n",
       "      <td>12.67630</td>\n",
       "      <td>104.47890</td>\n",
       "      <td>0.99426</td>\n",
       "      <td>8.999000</td>\n",
       "      <td>4.847804e+06</td>\n",
       "      <td>33.300000</td>\n",
       "      <td>3.631731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CIV</th>\n",
       "      <td>63.312946</td>\n",
       "      <td>64.779874</td>\n",
       "      <td>1587348.0</td>\n",
       "      <td>1426.457845</td>\n",
       "      <td>50.556000</td>\n",
       "      <td>73.038186</td>\n",
       "      <td>56.065000</td>\n",
       "      <td>76.73595</td>\n",
       "      <td>23.26405</td>\n",
       "      <td>42.05050</td>\n",
       "      <td>98.29878</td>\n",
       "      <td>0.88031</td>\n",
       "      <td>3.113000</td>\n",
       "      <td>2.322614e+07</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>8.842860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HRV</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.476769</td>\n",
       "      <td>360205.0</td>\n",
       "      <td>11780.131242</td>\n",
       "      <td>43.845000</td>\n",
       "      <td>75.118013</td>\n",
       "      <td>77.275610</td>\n",
       "      <td>98.49112</td>\n",
       "      <td>1.14689</td>\n",
       "      <td>13.70200</td>\n",
       "      <td>98.62031</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>16.174999</td>\n",
       "      <td>4.203604e+06</td>\n",
       "      <td>15.200000</td>\n",
       "      <td>2.400592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CUB</th>\n",
       "      <td>99.268761</td>\n",
       "      <td>59.991346</td>\n",
       "      <td>825055.0</td>\n",
       "      <td>7694.011920</td>\n",
       "      <td>23.104000</td>\n",
       "      <td>108.871188</td>\n",
       "      <td>78.561000</td>\n",
       "      <td>94.08411</td>\n",
       "      <td>5.91589</td>\n",
       "      <td>8.89917</td>\n",
       "      <td>98.01284</td>\n",
       "      <td>0.94312</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>1.132478e+07</td>\n",
       "      <td>48.900000</td>\n",
       "      <td>4.438142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CYP</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>13.799784</td>\n",
       "      <td>57161.0</td>\n",
       "      <td>23217.484151</td>\n",
       "      <td>33.054000</td>\n",
       "      <td>125.647727</td>\n",
       "      <td>80.350000</td>\n",
       "      <td>97.82834</td>\n",
       "      <td>1.39976</td>\n",
       "      <td>11.91513</td>\n",
       "      <td>96.50379</td>\n",
       "      <td>0.99981</td>\n",
       "      <td>14.908000</td>\n",
       "      <td>1.160985e+06</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>1.962304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJI</th>\n",
       "      <td>57.549080</td>\n",
       "      <td>73.425367</td>\n",
       "      <td>59483.0</td>\n",
       "      <td>1787.477500</td>\n",
       "      <td>22.583000</td>\n",
       "      <td>39.430242</td>\n",
       "      <td>64.136000</td>\n",
       "      <td>60.71870</td>\n",
       "      <td>39.28130</td>\n",
       "      <td>33.02204</td>\n",
       "      <td>63.67819</td>\n",
       "      <td>1.07193</td>\n",
       "      <td>11.094000</td>\n",
       "      <td>9.139930e+05</td>\n",
       "      <td>12.700000</td>\n",
       "      <td>9.683798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOM</th>\n",
       "      <td>98.560364</td>\n",
       "      <td>48.685572</td>\n",
       "      <td>929493.0</td>\n",
       "      <td>6691.716920</td>\n",
       "      <td>21.434000</td>\n",
       "      <td>212.827158</td>\n",
       "      <td>73.241000</td>\n",
       "      <td>95.53493</td>\n",
       "      <td>4.46507</td>\n",
       "      <td>18.29098</td>\n",
       "      <td>114.08680</td>\n",
       "      <td>0.91242</td>\n",
       "      <td>7.605000</td>\n",
       "      <td>1.028168e+07</td>\n",
       "      <td>20.800000</td>\n",
       "      <td>7.033371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLV</th>\n",
       "      <td>95.400000</td>\n",
       "      <td>75.530888</td>\n",
       "      <td>599947.0</td>\n",
       "      <td>3705.577946</td>\n",
       "      <td>30.300000</td>\n",
       "      <td>305.266602</td>\n",
       "      <td>72.412000</td>\n",
       "      <td>86.61827</td>\n",
       "      <td>8.97465</td>\n",
       "      <td>29.69441</td>\n",
       "      <td>101.00340</td>\n",
       "      <td>0.95835</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.325124e+06</td>\n",
       "      <td>32.100000</td>\n",
       "      <td>2.395029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SWZ</th>\n",
       "      <td>66.028038</td>\n",
       "      <td>71.046512</td>\n",
       "      <td>100494.0</td>\n",
       "      <td>3641.408583</td>\n",
       "      <td>76.700000</td>\n",
       "      <td>64.188605</td>\n",
       "      <td>55.359000</td>\n",
       "      <td>84.30768</td>\n",
       "      <td>15.69232</td>\n",
       "      <td>27.58272</td>\n",
       "      <td>97.83201</td>\n",
       "      <td>0.90907</td>\n",
       "      <td>23.643000</td>\n",
       "      <td>1.104044e+06</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>0.391129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEO</th>\n",
       "      <td>99.994484</td>\n",
       "      <td>34.797814</td>\n",
       "      <td>277874.0</td>\n",
       "      <td>3756.383768</td>\n",
       "      <td>42.552000</td>\n",
       "      <td>65.175059</td>\n",
       "      <td>72.973000</td>\n",
       "      <td>99.73715</td>\n",
       "      <td>0.26285</td>\n",
       "      <td>9.01662</td>\n",
       "      <td>94.19762</td>\n",
       "      <td>1.00150</td>\n",
       "      <td>14.080000</td>\n",
       "      <td>3.725276e+06</td>\n",
       "      <td>11.300000</td>\n",
       "      <td>2.880527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEU</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>47.959206</td>\n",
       "      <td>7112950.0</td>\n",
       "      <td>41394.658161</td>\n",
       "      <td>22.800000</td>\n",
       "      <td>234.153669</td>\n",
       "      <td>80.641463</td>\n",
       "      <td>99.59314</td>\n",
       "      <td>0.40686</td>\n",
       "      <td>12.22305</td>\n",
       "      <td>103.64670</td>\n",
       "      <td>0.99873</td>\n",
       "      <td>4.624000</td>\n",
       "      <td>8.168661e+07</td>\n",
       "      <td>36.500000</td>\n",
       "      <td>1.738968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GRC</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>48.091544</td>\n",
       "      <td>662741.0</td>\n",
       "      <td>18167.773717</td>\n",
       "      <td>21.954000</td>\n",
       "      <td>83.947890</td>\n",
       "      <td>81.036585</td>\n",
       "      <td>97.32526</td>\n",
       "      <td>2.17935</td>\n",
       "      <td>9.64365</td>\n",
       "      <td>103.54870</td>\n",
       "      <td>0.99104</td>\n",
       "      <td>24.896999</td>\n",
       "      <td>1.082088e+07</td>\n",
       "      <td>19.700000</td>\n",
       "      <td>-0.437834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HND</th>\n",
       "      <td>89.981710</td>\n",
       "      <td>28.912325</td>\n",
       "      <td>637727.0</td>\n",
       "      <td>2286.200039</td>\n",
       "      <td>44.835000</td>\n",
       "      <td>81.445312</td>\n",
       "      <td>74.495000</td>\n",
       "      <td>78.42569</td>\n",
       "      <td>20.09608</td>\n",
       "      <td>29.14566</td>\n",
       "      <td>100.68880</td>\n",
       "      <td>0.99439</td>\n",
       "      <td>4.592000</td>\n",
       "      <td>9.112916e+06</td>\n",
       "      <td>25.800000</td>\n",
       "      <td>3.840080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HUN</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>58.146471</td>\n",
       "      <td>826626.0</td>\n",
       "      <td>12503.682068</td>\n",
       "      <td>29.500000</td>\n",
       "      <td>108.726698</td>\n",
       "      <td>75.568293</td>\n",
       "      <td>96.37729</td>\n",
       "      <td>2.86345</td>\n",
       "      <td>10.97863</td>\n",
       "      <td>100.67700</td>\n",
       "      <td>0.99680</td>\n",
       "      <td>6.813000</td>\n",
       "      <td>9.843028e+06</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>3.536425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISL</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>18.673317</td>\n",
       "      <td>36818.0</td>\n",
       "      <td>52428.595763</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>3.299900</td>\n",
       "      <td>82.468293</td>\n",
       "      <td>98.63840</td>\n",
       "      <td>1.32270</td>\n",
       "      <td>10.14405</td>\n",
       "      <td>99.22846</td>\n",
       "      <td>0.99904</td>\n",
       "      <td>3.979000</td>\n",
       "      <td>3.308150e+05</td>\n",
       "      <td>41.300000</td>\n",
       "      <td>4.467861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IRN</th>\n",
       "      <td>99.982254</td>\n",
       "      <td>28.214102</td>\n",
       "      <td>5712478.0</td>\n",
       "      <td>4916.085938</td>\n",
       "      <td>26.642000</td>\n",
       "      <td>48.191394</td>\n",
       "      <td>75.796000</td>\n",
       "      <td>99.76909</td>\n",
       "      <td>0.23091</td>\n",
       "      <td>26.77414</td>\n",
       "      <td>102.85460</td>\n",
       "      <td>1.06232</td>\n",
       "      <td>11.060000</td>\n",
       "      <td>7.849222e+07</td>\n",
       "      <td>3.100000</td>\n",
       "      <td>-1.320645</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ECA</th>\n",
       "      <td>99.992234</td>\n",
       "      <td>28.205000</td>\n",
       "      <td>36400000.0</td>\n",
       "      <td>7517.912478</td>\n",
       "      <td>33.571967</td>\n",
       "      <td>18.161155</td>\n",
       "      <td>72.710373</td>\n",
       "      <td>94.89624</td>\n",
       "      <td>3.55328</td>\n",
       "      <td>17.82266</td>\n",
       "      <td>98.27954</td>\n",
       "      <td>0.99887</td>\n",
       "      <td>7.542562</td>\n",
       "      <td>4.108443e+08</td>\n",
       "      <td>18.021552</td>\n",
       "      <td>0.818800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TEC</th>\n",
       "      <td>99.992957</td>\n",
       "      <td>28.452858</td>\n",
       "      <td>39300000.0</td>\n",
       "      <td>7981.267098</td>\n",
       "      <td>34.185401</td>\n",
       "      <td>19.710602</td>\n",
       "      <td>73.150247</td>\n",
       "      <td>95.03961</td>\n",
       "      <td>3.53551</td>\n",
       "      <td>16.56762</td>\n",
       "      <td>100.47830</td>\n",
       "      <td>0.99921</td>\n",
       "      <td>7.616557</td>\n",
       "      <td>4.530343e+08</td>\n",
       "      <td>18.887483</td>\n",
       "      <td>1.224060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EUU</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>43.046352</td>\n",
       "      <td>42400000.0</td>\n",
       "      <td>32265.880882</td>\n",
       "      <td>24.977388</td>\n",
       "      <td>120.264908</td>\n",
       "      <td>80.620593</td>\n",
       "      <td>97.76725</td>\n",
       "      <td>1.33119</td>\n",
       "      <td>13.40088</td>\n",
       "      <td>100.81910</td>\n",
       "      <td>0.99903</td>\n",
       "      <td>9.383205</td>\n",
       "      <td>5.097176e+08</td>\n",
       "      <td>28.381321</td>\n",
       "      <td>2.338866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HPC</th>\n",
       "      <td>35.708870</td>\n",
       "      <td>38.602651</td>\n",
       "      <td>40500000.0</td>\n",
       "      <td>920.453213</td>\n",
       "      <td>65.358531</td>\n",
       "      <td>41.322116</td>\n",
       "      <td>61.852953</td>\n",
       "      <td>80.05292</td>\n",
       "      <td>18.46955</td>\n",
       "      <td>39.91367</td>\n",
       "      <td>122.93780</td>\n",
       "      <td>0.94184</td>\n",
       "      <td>4.057183</td>\n",
       "      <td>7.181284e+08</td>\n",
       "      <td>23.852950</td>\n",
       "      <td>4.921545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIC</th>\n",
       "      <td>99.977482</td>\n",
       "      <td>35.004300</td>\n",
       "      <td>91000000.0</td>\n",
       "      <td>40165.803565</td>\n",
       "      <td>19.197787</td>\n",
       "      <td>33.906859</td>\n",
       "      <td>80.489614</td>\n",
       "      <td>96.47245</td>\n",
       "      <td>1.54695</td>\n",
       "      <td>14.02746</td>\n",
       "      <td>102.03540</td>\n",
       "      <td>1.00032</td>\n",
       "      <td>6.617682</td>\n",
       "      <td>1.191327e+09</td>\n",
       "      <td>26.435207</td>\n",
       "      <td>2.323517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IBD</th>\n",
       "      <td>95.399599</td>\n",
       "      <td>36.821922</td>\n",
       "      <td>393000000.0</td>\n",
       "      <td>5569.060182</td>\n",
       "      <td>46.839635</td>\n",
       "      <td>66.933535</td>\n",
       "      <td>72.699876</td>\n",
       "      <td>96.35205</td>\n",
       "      <td>3.15313</td>\n",
       "      <td>21.50841</td>\n",
       "      <td>101.87500</td>\n",
       "      <td>1.02594</td>\n",
       "      <td>5.090760</td>\n",
       "      <td>4.643768e+09</td>\n",
       "      <td>21.302907</td>\n",
       "      <td>3.838403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IBT</th>\n",
       "      <td>84.588038</td>\n",
       "      <td>38.299495</td>\n",
       "      <td>493000000.0</td>\n",
       "      <td>4525.228811</td>\n",
       "      <td>51.192481</td>\n",
       "      <td>66.183135</td>\n",
       "      <td>70.357029</td>\n",
       "      <td>89.59166</td>\n",
       "      <td>9.17189</td>\n",
       "      <td>24.93134</td>\n",
       "      <td>105.99010</td>\n",
       "      <td>0.99935</td>\n",
       "      <td>4.944768</td>\n",
       "      <td>6.177553e+09</td>\n",
       "      <td>21.114788</td>\n",
       "      <td>3.859921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IDB</th>\n",
       "      <td>61.950417</td>\n",
       "      <td>52.968278</td>\n",
       "      <td>35800000.0</td>\n",
       "      <td>1973.224112</td>\n",
       "      <td>58.994712</td>\n",
       "      <td>87.213963</td>\n",
       "      <td>61.371577</td>\n",
       "      <td>68.29077</td>\n",
       "      <td>26.76077</td>\n",
       "      <td>34.17311</td>\n",
       "      <td>97.98697</td>\n",
       "      <td>0.93768</td>\n",
       "      <td>5.014958</td>\n",
       "      <td>5.194298e+08</td>\n",
       "      <td>18.572967</td>\n",
       "      <td>3.873094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IDX</th>\n",
       "      <td>46.684429</td>\n",
       "      <td>39.141281</td>\n",
       "      <td>64900000.0</td>\n",
       "      <td>1057.633648</td>\n",
       "      <td>67.153013</td>\n",
       "      <td>56.335277</td>\n",
       "      <td>64.231762</td>\n",
       "      <td>81.45209</td>\n",
       "      <td>17.07589</td>\n",
       "      <td>36.95185</td>\n",
       "      <td>121.63870</td>\n",
       "      <td>0.95709</td>\n",
       "      <td>4.132473</td>\n",
       "      <td>1.014355e+09</td>\n",
       "      <td>21.431341</td>\n",
       "      <td>4.462011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LCN</th>\n",
       "      <td>97.326187</td>\n",
       "      <td>37.707432</td>\n",
       "      <td>64000000.0</td>\n",
       "      <td>8856.928817</td>\n",
       "      <td>20.145987</td>\n",
       "      <td>31.088113</td>\n",
       "      <td>74.959698</td>\n",
       "      <td>95.53155</td>\n",
       "      <td>3.29980</td>\n",
       "      <td>21.72139</td>\n",
       "      <td>100.50320</td>\n",
       "      <td>0.97973</td>\n",
       "      <td>6.640659</td>\n",
       "      <td>6.229860e+08</td>\n",
       "      <td>27.908350</td>\n",
       "      <td>0.087392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAC</th>\n",
       "      <td>97.227906</td>\n",
       "      <td>38.004919</td>\n",
       "      <td>61400000.0</td>\n",
       "      <td>8449.223414</td>\n",
       "      <td>20.359647</td>\n",
       "      <td>31.096219</td>\n",
       "      <td>74.760447</td>\n",
       "      <td>95.68951</td>\n",
       "      <td>3.18495</td>\n",
       "      <td>21.98897</td>\n",
       "      <td>100.59590</td>\n",
       "      <td>0.97994</td>\n",
       "      <td>6.644718</td>\n",
       "      <td>5.914168e+08</td>\n",
       "      <td>29.205806</td>\n",
       "      <td>-0.064061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TLA</th>\n",
       "      <td>97.269219</td>\n",
       "      <td>37.619114</td>\n",
       "      <td>62900000.0</td>\n",
       "      <td>8716.406758</td>\n",
       "      <td>20.149901</td>\n",
       "      <td>30.479472</td>\n",
       "      <td>74.864734</td>\n",
       "      <td>95.61743</td>\n",
       "      <td>3.19511</td>\n",
       "      <td>22.15856</td>\n",
       "      <td>100.58080</td>\n",
       "      <td>0.98006</td>\n",
       "      <td>6.686993</td>\n",
       "      <td>6.069570e+08</td>\n",
       "      <td>24.268971</td>\n",
       "      <td>0.047912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDC</th>\n",
       "      <td>42.812959</td>\n",
       "      <td>38.749190</td>\n",
       "      <td>58600000.0</td>\n",
       "      <td>1020.578572</td>\n",
       "      <td>67.998731</td>\n",
       "      <td>52.983281</td>\n",
       "      <td>63.947777</td>\n",
       "      <td>81.41431</td>\n",
       "      <td>17.28761</td>\n",
       "      <td>38.00919</td>\n",
       "      <td>124.90740</td>\n",
       "      <td>0.95360</td>\n",
       "      <td>4.027290</td>\n",
       "      <td>9.411313e+08</td>\n",
       "      <td>23.044322</td>\n",
       "      <td>4.047272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LMY</th>\n",
       "      <td>84.272316</td>\n",
       "      <td>38.343081</td>\n",
       "      <td>492000000.0</td>\n",
       "      <td>4418.337014</td>\n",
       "      <td>51.297339</td>\n",
       "      <td>66.687760</td>\n",
       "      <td>70.293775</td>\n",
       "      <td>89.57126</td>\n",
       "      <td>9.19518</td>\n",
       "      <td>25.04042</td>\n",
       "      <td>105.88380</td>\n",
       "      <td>0.99937</td>\n",
       "      <td>4.911082</td>\n",
       "      <td>6.149221e+09</td>\n",
       "      <td>21.563994</td>\n",
       "      <td>3.886911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LIC</th>\n",
       "      <td>34.333636</td>\n",
       "      <td>39.768807</td>\n",
       "      <td>37400000.0</td>\n",
       "      <td>792.208130</td>\n",
       "      <td>68.712638</td>\n",
       "      <td>47.863709</td>\n",
       "      <td>62.554738</td>\n",
       "      <td>80.75827</td>\n",
       "      <td>18.02432</td>\n",
       "      <td>40.13131</td>\n",
       "      <td>126.88010</td>\n",
       "      <td>0.93673</td>\n",
       "      <td>3.760173</td>\n",
       "      <td>6.534052e+08</td>\n",
       "      <td>22.041572</td>\n",
       "      <td>2.874426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LMC</th>\n",
       "      <td>82.158725</td>\n",
       "      <td>45.900366</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>1995.940544</td>\n",
       "      <td>60.882354</td>\n",
       "      <td>143.883379</td>\n",
       "      <td>67.804712</td>\n",
       "      <td>88.13165</td>\n",
       "      <td>10.24032</td>\n",
       "      <td>28.01515</td>\n",
       "      <td>103.76270</td>\n",
       "      <td>1.02658</td>\n",
       "      <td>4.130142</td>\n",
       "      <td>2.898058e+09</td>\n",
       "      <td>20.070013</td>\n",
       "      <td>5.585129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEA</th>\n",
       "      <td>97.431377</td>\n",
       "      <td>33.316101</td>\n",
       "      <td>35500000.0</td>\n",
       "      <td>7388.593939</td>\n",
       "      <td>35.629099</td>\n",
       "      <td>37.940309</td>\n",
       "      <td>73.514845</td>\n",
       "      <td>94.27961</td>\n",
       "      <td>5.32258</td>\n",
       "      <td>19.94048</td>\n",
       "      <td>103.75720</td>\n",
       "      <td>0.96846</td>\n",
       "      <td>9.906036</td>\n",
       "      <td>4.258218e+08</td>\n",
       "      <td>16.388246</td>\n",
       "      <td>2.509976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MNA</th>\n",
       "      <td>96.994920</td>\n",
       "      <td>22.878483</td>\n",
       "      <td>30100000.0</td>\n",
       "      <td>3960.769906</td>\n",
       "      <td>39.398369</td>\n",
       "      <td>42.121496</td>\n",
       "      <td>73.000296</td>\n",
       "      <td>93.68425</td>\n",
       "      <td>5.97224</td>\n",
       "      <td>22.27264</td>\n",
       "      <td>102.81930</td>\n",
       "      <td>0.96236</td>\n",
       "      <td>11.587813</td>\n",
       "      <td>3.639756e+08</td>\n",
       "      <td>16.902135</td>\n",
       "      <td>0.984978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TMN</th>\n",
       "      <td>96.959246</td>\n",
       "      <td>22.860048</td>\n",
       "      <td>29400000.0</td>\n",
       "      <td>3972.175733</td>\n",
       "      <td>39.573662</td>\n",
       "      <td>41.656355</td>\n",
       "      <td>72.995053</td>\n",
       "      <td>93.66511</td>\n",
       "      <td>5.99216</td>\n",
       "      <td>22.25553</td>\n",
       "      <td>102.90540</td>\n",
       "      <td>0.96197</td>\n",
       "      <td>11.437460</td>\n",
       "      <td>3.597055e+08</td>\n",
       "      <td>16.902135</td>\n",
       "      <td>0.965836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MIC</th>\n",
       "      <td>90.209656</td>\n",
       "      <td>38.095292</td>\n",
       "      <td>455000000.0</td>\n",
       "      <td>4850.346612</td>\n",
       "      <td>49.226131</td>\n",
       "      <td>69.958907</td>\n",
       "      <td>71.213915</td>\n",
       "      <td>91.34880</td>\n",
       "      <td>7.41438</td>\n",
       "      <td>23.27888</td>\n",
       "      <td>101.85240</td>\n",
       "      <td>1.01251</td>\n",
       "      <td>5.035677</td>\n",
       "      <td>5.495816e+09</td>\n",
       "      <td>21.410397</td>\n",
       "      <td>3.901337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OED</th>\n",
       "      <td>99.900831</td>\n",
       "      <td>34.218083</td>\n",
       "      <td>109000000.0</td>\n",
       "      <td>36604.036210</td>\n",
       "      <td>19.990396</td>\n",
       "      <td>37.151247</td>\n",
       "      <td>79.934026</td>\n",
       "      <td>96.73227</td>\n",
       "      <td>1.59925</td>\n",
       "      <td>15.65422</td>\n",
       "      <td>101.37450</td>\n",
       "      <td>0.99900</td>\n",
       "      <td>6.770438</td>\n",
       "      <td>1.280467e+09</td>\n",
       "      <td>27.959368</td>\n",
       "      <td>2.419495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OSS</th>\n",
       "      <td>72.485615</td>\n",
       "      <td>40.400360</td>\n",
       "      <td>2019982.0</td>\n",
       "      <td>12832.040131</td>\n",
       "      <td>39.404635</td>\n",
       "      <td>14.247921</td>\n",
       "      <td>67.405236</td>\n",
       "      <td>84.83424</td>\n",
       "      <td>13.52198</td>\n",
       "      <td>23.55641</td>\n",
       "      <td>106.18460</td>\n",
       "      <td>0.97958</td>\n",
       "      <td>10.238516</td>\n",
       "      <td>2.894887e+07</td>\n",
       "      <td>18.619645</td>\n",
       "      <td>2.793413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PST</th>\n",
       "      <td>99.992451</td>\n",
       "      <td>33.607978</td>\n",
       "      <td>84000000.0</td>\n",
       "      <td>40474.337602</td>\n",
       "      <td>19.254039</td>\n",
       "      <td>34.866612</td>\n",
       "      <td>80.394899</td>\n",
       "      <td>96.22131</td>\n",
       "      <td>1.67123</td>\n",
       "      <td>14.30129</td>\n",
       "      <td>99.79988</td>\n",
       "      <td>1.00009</td>\n",
       "      <td>6.869027</td>\n",
       "      <td>1.097025e+09</td>\n",
       "      <td>28.578706</td>\n",
       "      <td>2.109428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRE</th>\n",
       "      <td>40.292501</td>\n",
       "      <td>41.324807</td>\n",
       "      <td>49000000.0</td>\n",
       "      <td>1585.942265</td>\n",
       "      <td>60.406110</td>\n",
       "      <td>47.543045</td>\n",
       "      <td>59.511959</td>\n",
       "      <td>75.14642</td>\n",
       "      <td>22.66607</td>\n",
       "      <td>35.34598</td>\n",
       "      <td>111.45690</td>\n",
       "      <td>0.94119</td>\n",
       "      <td>5.122494</td>\n",
       "      <td>8.457593e+08</td>\n",
       "      <td>21.842412</td>\n",
       "      <td>3.070877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SST</th>\n",
       "      <td>77.426679</td>\n",
       "      <td>34.179070</td>\n",
       "      <td>2815803.0</td>\n",
       "      <td>11732.173394</td>\n",
       "      <td>42.622785</td>\n",
       "      <td>15.405488</td>\n",
       "      <td>68.614011</td>\n",
       "      <td>85.93655</td>\n",
       "      <td>11.72521</td>\n",
       "      <td>22.66048</td>\n",
       "      <td>104.49780</td>\n",
       "      <td>0.98353</td>\n",
       "      <td>10.042463</td>\n",
       "      <td>3.852675e+07</td>\n",
       "      <td>16.944457</td>\n",
       "      <td>2.572772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSF</th>\n",
       "      <td>39.399695</td>\n",
       "      <td>43.679445</td>\n",
       "      <td>58900000.0</td>\n",
       "      <td>1669.443418</td>\n",
       "      <td>61.408927</td>\n",
       "      <td>46.861951</td>\n",
       "      <td>59.952831</td>\n",
       "      <td>77.56615</td>\n",
       "      <td>20.04884</td>\n",
       "      <td>37.50596</td>\n",
       "      <td>114.13590</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.954585e+08</td>\n",
       "      <td>23.640948</td>\n",
       "      <td>2.815844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSA</th>\n",
       "      <td>39.394007</td>\n",
       "      <td>43.680318</td>\n",
       "      <td>58900000.0</td>\n",
       "      <td>1668.215982</td>\n",
       "      <td>61.410505</td>\n",
       "      <td>46.858568</td>\n",
       "      <td>59.951484</td>\n",
       "      <td>77.56523</td>\n",
       "      <td>20.04984</td>\n",
       "      <td>37.50958</td>\n",
       "      <td>114.13660</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.953651e+08</td>\n",
       "      <td>23.566474</td>\n",
       "      <td>2.814316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TSS</th>\n",
       "      <td>39.399695</td>\n",
       "      <td>43.679445</td>\n",
       "      <td>58900000.0</td>\n",
       "      <td>1669.443418</td>\n",
       "      <td>61.408927</td>\n",
       "      <td>46.861951</td>\n",
       "      <td>59.952831</td>\n",
       "      <td>77.56615</td>\n",
       "      <td>20.04884</td>\n",
       "      <td>37.50596</td>\n",
       "      <td>114.13590</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.954585e+08</td>\n",
       "      <td>23.640948</td>\n",
       "      <td>2.815844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UMC</th>\n",
       "      <td>99.191467</td>\n",
       "      <td>35.403619</td>\n",
       "      <td>204000000.0</td>\n",
       "      <td>8032.489459</td>\n",
       "      <td>36.213422</td>\n",
       "      <td>44.469925</td>\n",
       "      <td>75.017527</td>\n",
       "      <td>96.38323</td>\n",
       "      <td>2.99216</td>\n",
       "      <td>18.32687</td>\n",
       "      <td>98.66924</td>\n",
       "      <td>0.99007</td>\n",
       "      <td>5.802802</td>\n",
       "      <td>2.597758e+09</td>\n",
       "      <td>22.366320</td>\n",
       "      <td>3.411958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WLD</th>\n",
       "      <td>86.778707</td>\n",
       "      <td>37.421819</td>\n",
       "      <td>583000000.0</td>\n",
       "      <td>10217.656013</td>\n",
       "      <td>46.086627</td>\n",
       "      <td>57.643265</td>\n",
       "      <td>71.947898</td>\n",
       "      <td>90.30999</td>\n",
       "      <td>8.37648</td>\n",
       "      <td>23.10596</td>\n",
       "      <td>105.48740</td>\n",
       "      <td>0.99946</td>\n",
       "      <td>5.216669</td>\n",
       "      <td>7.340548e+09</td>\n",
       "      <td>22.852166</td>\n",
       "      <td>2.852939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>109 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Access to electricity (% of population) [EG.ELC.ACCS.ZS]  \\\n",
       "Country Code                                                             \n",
       "ALB                                                  100.000000          \n",
       "AUT                                                  100.000000          \n",
       "BHS                                                  100.000000          \n",
       "BHR                                                  100.000000          \n",
       "BLR                                                  100.000000          \n",
       "BEL                                                  100.000000          \n",
       "BLZ                                                   91.800000          \n",
       "BOL                                                   91.522822          \n",
       "BFA                                                   21.789345          \n",
       "CPV                                                   88.378189          \n",
       "CMR                                                   58.814274          \n",
       "TCD                                                    7.700000          \n",
       "CHL                                                   99.714844          \n",
       "COL                                                   98.186898          \n",
       "CRI                                                   99.409804          \n",
       "CIV                                                   63.312946          \n",
       "HRV                                                  100.000000          \n",
       "CUB                                                   99.268761          \n",
       "CYP                                                  100.000000          \n",
       "DJI                                                   57.549080          \n",
       "DOM                                                   98.560364          \n",
       "SLV                                                   95.400000          \n",
       "SWZ                                                   66.028038          \n",
       "GEO                                                   99.994484          \n",
       "DEU                                                  100.000000          \n",
       "GRC                                                  100.000000          \n",
       "HND                                                   89.981710          \n",
       "HUN                                                  100.000000          \n",
       "ISL                                                  100.000000          \n",
       "IRN                                                   99.982254          \n",
       "...                                                         ...          \n",
       "ECA                                                   99.992234          \n",
       "TEC                                                   99.992957          \n",
       "EUU                                                  100.000000          \n",
       "HPC                                                   35.708870          \n",
       "HIC                                                   99.977482          \n",
       "IBD                                                   95.399599          \n",
       "IBT                                                   84.588038          \n",
       "IDB                                                   61.950417          \n",
       "IDX                                                   46.684429          \n",
       "LCN                                                   97.326187          \n",
       "LAC                                                   97.227906          \n",
       "TLA                                                   97.269219          \n",
       "LDC                                                   42.812959          \n",
       "LMY                                                   84.272316          \n",
       "LIC                                                   34.333636          \n",
       "LMC                                                   82.158725          \n",
       "MEA                                                   97.431377          \n",
       "MNA                                                   96.994920          \n",
       "TMN                                                   96.959246          \n",
       "MIC                                                   90.209656          \n",
       "OED                                                   99.900831          \n",
       "OSS                                                   72.485615          \n",
       "PST                                                   99.992451          \n",
       "PRE                                                   40.292501          \n",
       "SST                                                   77.426679          \n",
       "SSF                                                   39.399695          \n",
       "SSA                                                   39.394007          \n",
       "TSS                                                   39.399695          \n",
       "UMC                                                   99.191467          \n",
       "WLD                                                   86.778707          \n",
       "\n",
       "              Agricultural land (% of land area) [AG.LND.AGRI.ZS]  \\\n",
       "Country Code                                                        \n",
       "ALB                                                   42.857666     \n",
       "AUT                                                   32.941726     \n",
       "BHS                                                    1.398601     \n",
       "BHR                                                   11.053985     \n",
       "BLR                                                   42.242016     \n",
       "BEL                                                   43.857332     \n",
       "BLZ                                                    7.014467     \n",
       "BOL                                                   34.765070     \n",
       "BFA                                                   44.225146     \n",
       "CPV                                                   19.602978     \n",
       "CMR                                                   20.625754     \n",
       "TCD                                                   39.656131     \n",
       "CHL                                                   21.229751     \n",
       "COL                                                   40.257415     \n",
       "CRI                                                   34.860948     \n",
       "CIV                                                   64.779874     \n",
       "HRV                                                   27.476769     \n",
       "CUB                                                   59.991346     \n",
       "CYP                                                   13.799784     \n",
       "DJI                                                   73.425367     \n",
       "DOM                                                   48.685572     \n",
       "SLV                                                   75.530888     \n",
       "SWZ                                                   71.046512     \n",
       "GEO                                                   34.797814     \n",
       "DEU                                                   47.959206     \n",
       "GRC                                                   48.091544     \n",
       "HND                                                   28.912325     \n",
       "HUN                                                   58.146471     \n",
       "ISL                                                   18.673317     \n",
       "IRN                                                   28.214102     \n",
       "...                                                         ...     \n",
       "ECA                                                   28.205000     \n",
       "TEC                                                   28.452858     \n",
       "EUU                                                   43.046352     \n",
       "HPC                                                   38.602651     \n",
       "HIC                                                   35.004300     \n",
       "IBD                                                   36.821922     \n",
       "IBT                                                   38.299495     \n",
       "IDB                                                   52.968278     \n",
       "IDX                                                   39.141281     \n",
       "LCN                                                   37.707432     \n",
       "LAC                                                   38.004919     \n",
       "TLA                                                   37.619114     \n",
       "LDC                                                   38.749190     \n",
       "LMY                                                   38.343081     \n",
       "LIC                                                   39.768807     \n",
       "LMC                                                   45.900366     \n",
       "MEA                                                   33.316101     \n",
       "MNA                                                   22.878483     \n",
       "TMN                                                   22.860048     \n",
       "MIC                                                   38.095292     \n",
       "OED                                                   34.218083     \n",
       "OSS                                                   40.400360     \n",
       "PST                                                   33.607978     \n",
       "PRE                                                   41.324807     \n",
       "SST                                                   34.179070     \n",
       "SSF                                                   43.679445     \n",
       "SSA                                                   43.680318     \n",
       "TSS                                                   43.679445     \n",
       "UMC                                                   35.403619     \n",
       "WLD                                                   37.421819     \n",
       "\n",
       "              Secondary education, pupils [SE.SEC.ENRL]  \\\n",
       "Country Code                                              \n",
       "ALB                                            315079.0   \n",
       "AUT                                            691071.3   \n",
       "BHS                                             25766.0   \n",
       "BHR                                             92454.0   \n",
       "BLR                                            644153.0   \n",
       "BEL                                           1217912.0   \n",
       "BLZ                                             37856.0   \n",
       "BOL                                           1153379.0   \n",
       "BFA                                            965550.0   \n",
       "CPV                                             58657.0   \n",
       "CMR                                           2108279.0   \n",
       "TCD                                            513248.0   \n",
       "CHL                                           1546323.0   \n",
       "COL                                           4793963.0   \n",
       "CRI                                            460252.0   \n",
       "CIV                                           1587348.0   \n",
       "HRV                                            360205.0   \n",
       "CUB                                            825055.0   \n",
       "CYP                                             57161.0   \n",
       "DJI                                             59483.0   \n",
       "DOM                                            929493.0   \n",
       "SLV                                            599947.0   \n",
       "SWZ                                            100494.0   \n",
       "GEO                                            277874.0   \n",
       "DEU                                           7112950.0   \n",
       "GRC                                            662741.0   \n",
       "HND                                            637727.0   \n",
       "HUN                                            826626.0   \n",
       "ISL                                             36818.0   \n",
       "IRN                                           5712478.0   \n",
       "...                                                 ...   \n",
       "ECA                                          36400000.0   \n",
       "TEC                                          39300000.0   \n",
       "EUU                                          42400000.0   \n",
       "HPC                                          40500000.0   \n",
       "HIC                                          91000000.0   \n",
       "IBD                                         393000000.0   \n",
       "IBT                                         493000000.0   \n",
       "IDB                                          35800000.0   \n",
       "IDX                                          64900000.0   \n",
       "LCN                                          64000000.0   \n",
       "LAC                                          61400000.0   \n",
       "TLA                                          62900000.0   \n",
       "LDC                                          58600000.0   \n",
       "LMY                                         492000000.0   \n",
       "LIC                                          37400000.0   \n",
       "LMC                                         250000000.0   \n",
       "MEA                                          35500000.0   \n",
       "MNA                                          30100000.0   \n",
       "TMN                                          29400000.0   \n",
       "MIC                                         455000000.0   \n",
       "OED                                         109000000.0   \n",
       "OSS                                           2019982.0   \n",
       "PST                                          84000000.0   \n",
       "PRE                                          49000000.0   \n",
       "SST                                           2815803.0   \n",
       "SSF                                          58900000.0   \n",
       "SSA                                          58900000.0   \n",
       "TSS                                          58900000.0   \n",
       "UMC                                         204000000.0   \n",
       "WLD                                         583000000.0   \n",
       "\n",
       "              GDP per capita (current US$) [NY.GDP.PCAP.CD]  \\\n",
       "Country Code                                                  \n",
       "ALB                                             3952.830781   \n",
       "AUT                                            44176.671743   \n",
       "BHS                                            31512.856555   \n",
       "BHR                                            22688.944400   \n",
       "BLR                                             5949.106307   \n",
       "BEL                                            40441.052042   \n",
       "BLZ                                             4883.179011   \n",
       "BOL                                             3035.972215   \n",
       "BFA                                              575.314454   \n",
       "CPV                                             3043.013984   \n",
       "CMR                                             1326.969277   \n",
       "TCD                                              775.707524   \n",
       "CHL                                            13574.171504   \n",
       "COL                                             6175.876030   \n",
       "CRI                                            11299.136177   \n",
       "CIV                                             1426.457845   \n",
       "HRV                                            11780.131242   \n",
       "CUB                                             7694.011920   \n",
       "CYP                                            23217.484151   \n",
       "DJI                                             1787.477500   \n",
       "DOM                                             6691.716920   \n",
       "SLV                                             3705.577946   \n",
       "SWZ                                             3641.408583   \n",
       "GEO                                             3756.383768   \n",
       "DEU                                            41394.658161   \n",
       "GRC                                            18167.773717   \n",
       "HND                                             2286.200039   \n",
       "HUN                                            12503.682068   \n",
       "ISL                                            52428.595763   \n",
       "IRN                                             4916.085938   \n",
       "...                                                     ...   \n",
       "ECA                                             7517.912478   \n",
       "TEC                                             7981.267098   \n",
       "EUU                                            32265.880882   \n",
       "HPC                                              920.453213   \n",
       "HIC                                            40165.803565   \n",
       "IBD                                             5569.060182   \n",
       "IBT                                             4525.228811   \n",
       "IDB                                             1973.224112   \n",
       "IDX                                             1057.633648   \n",
       "LCN                                             8856.928817   \n",
       "LAC                                             8449.223414   \n",
       "TLA                                             8716.406758   \n",
       "LDC                                             1020.578572   \n",
       "LMY                                             4418.337014   \n",
       "LIC                                              792.208130   \n",
       "LMC                                             1995.940544   \n",
       "MEA                                             7388.593939   \n",
       "MNA                                             3960.769906   \n",
       "TMN                                             3972.175733   \n",
       "MIC                                             4850.346612   \n",
       "OED                                            36604.036210   \n",
       "OSS                                            12832.040131   \n",
       "PST                                            40474.337602   \n",
       "PRE                                             1585.942265   \n",
       "SST                                            11732.173394   \n",
       "SSF                                             1669.443418   \n",
       "SSA                                             1668.215982   \n",
       "TSS                                             1669.443418   \n",
       "UMC                                             8032.489459   \n",
       "WLD                                            10217.656013   \n",
       "\n",
       "              Rural population (% of total population) [SP.RUR.TOTL.ZS]  \\\n",
       "Country Code                                                              \n",
       "ALB                                                   42.566000           \n",
       "AUT                                                   42.285000           \n",
       "BHS                                                   17.254000           \n",
       "BHR                                                   11.001000           \n",
       "BLR                                                   22.819000           \n",
       "BEL                                                    2.124000           \n",
       "BLZ                                                   54.594000           \n",
       "BOL                                                   31.607000           \n",
       "BFA                                                   72.470000           \n",
       "CPV                                                   35.700000           \n",
       "CMR                                                   45.422000           \n",
       "TCD                                                   77.485000           \n",
       "CHL                                                   12.640000           \n",
       "COL                                                   20.236000           \n",
       "CRI                                                   23.138000           \n",
       "CIV                                                   50.556000           \n",
       "HRV                                                   43.845000           \n",
       "CUB                                                   23.104000           \n",
       "CYP                                                   33.054000           \n",
       "DJI                                                   22.583000           \n",
       "DOM                                                   21.434000           \n",
       "SLV                                                   30.300000           \n",
       "SWZ                                                   76.700000           \n",
       "GEO                                                   42.552000           \n",
       "DEU                                                   22.800000           \n",
       "GRC                                                   21.954000           \n",
       "HND                                                   44.835000           \n",
       "HUN                                                   29.500000           \n",
       "ISL                                                    6.300000           \n",
       "IRN                                                   26.642000           \n",
       "...                                                         ...           \n",
       "ECA                                                   33.571967           \n",
       "TEC                                                   34.185401           \n",
       "EUU                                                   24.977388           \n",
       "HPC                                                   65.358531           \n",
       "HIC                                                   19.197787           \n",
       "IBD                                                   46.839635           \n",
       "IBT                                                   51.192481           \n",
       "IDB                                                   58.994712           \n",
       "IDX                                                   67.153013           \n",
       "LCN                                                   20.145987           \n",
       "LAC                                                   20.359647           \n",
       "TLA                                                   20.149901           \n",
       "LDC                                                   67.998731           \n",
       "LMY                                                   51.297339           \n",
       "LIC                                                   68.712638           \n",
       "LMC                                                   60.882354           \n",
       "MEA                                                   35.629099           \n",
       "MNA                                                   39.398369           \n",
       "TMN                                                   39.573662           \n",
       "MIC                                                   49.226131           \n",
       "OED                                                   19.990396           \n",
       "OSS                                                   39.404635           \n",
       "PST                                                   19.254039           \n",
       "PRE                                                   60.406110           \n",
       "SST                                                   42.622785           \n",
       "SSF                                                   61.408927           \n",
       "SSA                                                   61.410505           \n",
       "TSS                                                   61.408927           \n",
       "UMC                                                   36.213422           \n",
       "WLD                                                   46.086627           \n",
       "\n",
       "              Population density (people per sq. km of land area) [EN.POP.DNST]  \\\n",
       "Country Code                                                                      \n",
       "ALB                                                  105.135146                   \n",
       "AUT                                                  104.730793                   \n",
       "BHS                                                   37.383217                   \n",
       "BHR                                                 1763.304558                   \n",
       "BLR                                                   46.751942                   \n",
       "BEL                                                  372.331440                   \n",
       "BLZ                                                   15.823455                   \n",
       "BOL                                                   10.033906                   \n",
       "BFA                                                   66.193801                   \n",
       "CPV                                                  130.209181                   \n",
       "CMR                                                   49.286810                   \n",
       "TCD                                                   11.206302                   \n",
       "CHL                                                   24.167557                   \n",
       "COL                                                   42.830705                   \n",
       "CRI                                                   94.943282                   \n",
       "CIV                                                   73.038186                   \n",
       "HRV                                                   75.118013                   \n",
       "CUB                                                  108.871188                   \n",
       "CYP                                                  125.647727                   \n",
       "DJI                                                   39.430242                   \n",
       "DOM                                                  212.827158                   \n",
       "SLV                                                  305.266602                   \n",
       "SWZ                                                   64.188605                   \n",
       "GEO                                                   65.175059                   \n",
       "DEU                                                  234.153669                   \n",
       "GRC                                                   83.947890                   \n",
       "HND                                                   81.445312                   \n",
       "HUN                                                  108.726698                   \n",
       "ISL                                                    3.299900                   \n",
       "IRN                                                   48.191394                   \n",
       "...                                                         ...                   \n",
       "ECA                                                   18.161155                   \n",
       "TEC                                                   19.710602                   \n",
       "EUU                                                  120.264908                   \n",
       "HPC                                                   41.322116                   \n",
       "HIC                                                   33.906859                   \n",
       "IBD                                                   66.933535                   \n",
       "IBT                                                   66.183135                   \n",
       "IDB                                                   87.213963                   \n",
       "IDX                                                   56.335277                   \n",
       "LCN                                                   31.088113                   \n",
       "LAC                                                   31.096219                   \n",
       "TLA                                                   30.479472                   \n",
       "LDC                                                   52.983281                   \n",
       "LMY                                                   66.687760                   \n",
       "LIC                                                   47.863709                   \n",
       "LMC                                                  143.883379                   \n",
       "MEA                                                   37.940309                   \n",
       "MNA                                                   42.121496                   \n",
       "TMN                                                   41.656355                   \n",
       "MIC                                                   69.958907                   \n",
       "OED                                                   37.151247                   \n",
       "OSS                                                   14.247921                   \n",
       "PST                                                   34.866612                   \n",
       "PRE                                                   47.543045                   \n",
       "SST                                                   15.405488                   \n",
       "SSF                                                   46.861951                   \n",
       "SSA                                                   46.858568                   \n",
       "TSS                                                   46.861951                   \n",
       "UMC                                                   44.469925                   \n",
       "WLD                                                   57.643265                   \n",
       "\n",
       "              Life expectancy at birth, total (years) [SP.DYN.LE00.IN]  \\\n",
       "Country Code                                                             \n",
       "ALB                                                   78.025000          \n",
       "AUT                                                   81.190244          \n",
       "BHS                                                   73.088000          \n",
       "BHR                                                   76.762000          \n",
       "BLR                                                   73.624390          \n",
       "BEL                                                   80.992683          \n",
       "BLZ                                                   74.034000          \n",
       "BOL                                                   70.277000          \n",
       "BFA                                                   59.919000          \n",
       "CPV                                                   72.117000          \n",
       "CMR                                                   57.583000          \n",
       "TCD                                                   53.137000          \n",
       "CHL                                                   79.646000          \n",
       "COL                                                   76.531000          \n",
       "CRI                                                   79.565000          \n",
       "CIV                                                   56.065000          \n",
       "HRV                                                   77.275610          \n",
       "CUB                                                   78.561000          \n",
       "CYP                                                   80.350000          \n",
       "DJI                                                   64.136000          \n",
       "DOM                                                   73.241000          \n",
       "SLV                                                   72.412000          \n",
       "SWZ                                                   55.359000          \n",
       "GEO                                                   72.973000          \n",
       "DEU                                                   80.641463          \n",
       "GRC                                                   81.036585          \n",
       "HND                                                   74.495000          \n",
       "HUN                                                   75.568293          \n",
       "ISL                                                   82.468293          \n",
       "IRN                                                   75.796000          \n",
       "...                                                         ...          \n",
       "ECA                                                   72.710373          \n",
       "TEC                                                   73.150247          \n",
       "EUU                                                   80.620593          \n",
       "HPC                                                   61.852953          \n",
       "HIC                                                   80.489614          \n",
       "IBD                                                   72.699876          \n",
       "IBT                                                   70.357029          \n",
       "IDB                                                   61.371577          \n",
       "IDX                                                   64.231762          \n",
       "LCN                                                   74.959698          \n",
       "LAC                                                   74.760447          \n",
       "TLA                                                   74.864734          \n",
       "LDC                                                   63.947777          \n",
       "LMY                                                   70.293775          \n",
       "LIC                                                   62.554738          \n",
       "LMC                                                   67.804712          \n",
       "MEA                                                   73.514845          \n",
       "MNA                                                   73.000296          \n",
       "TMN                                                   72.995053          \n",
       "MIC                                                   71.213915          \n",
       "OED                                                   79.934026          \n",
       "OSS                                                   67.405236          \n",
       "PST                                                   80.394899          \n",
       "PRE                                                   59.511959          \n",
       "SST                                                   68.614011          \n",
       "SSF                                                   59.952831          \n",
       "SSA                                                   59.951484          \n",
       "TSS                                                   59.952831          \n",
       "UMC                                                   75.017527          \n",
       "WLD                                                   71.947898          \n",
       "\n",
       "              Adjusted net enrollment rate, primary (% of primary school age children) [SE.PRM.TENR]  \\\n",
       "Country Code                                                                                           \n",
       "ALB                                                    97.79873                                        \n",
       "AUT                                                    88.62591                                        \n",
       "BHS                                                    79.96521                                        \n",
       "BHR                                                    98.02753                                        \n",
       "BLR                                                    94.25545                                        \n",
       "BEL                                                    98.38347                                        \n",
       "BLZ                                                    99.28398                                        \n",
       "BOL                                                    88.70123                                        \n",
       "BFA                                                    69.95995                                        \n",
       "CPV                                                    93.38192                                        \n",
       "CMR                                                    95.19802                                        \n",
       "TCD                                                    79.35908                                        \n",
       "CHL                                                    93.47354                                        \n",
       "COL                                                    96.38124                                        \n",
       "CRI                                                    97.81775                                        \n",
       "CIV                                                    76.73595                                        \n",
       "HRV                                                    98.49112                                        \n",
       "CUB                                                    94.08411                                        \n",
       "CYP                                                    97.82834                                        \n",
       "DJI                                                    60.71870                                        \n",
       "DOM                                                    95.53493                                        \n",
       "SLV                                                    86.61827                                        \n",
       "SWZ                                                    84.30768                                        \n",
       "GEO                                                    99.73715                                        \n",
       "DEU                                                    99.59314                                        \n",
       "GRC                                                    97.32526                                        \n",
       "HND                                                    78.42569                                        \n",
       "HUN                                                    96.37729                                        \n",
       "ISL                                                    98.63840                                        \n",
       "IRN                                                    99.76909                                        \n",
       "...                                                         ...                                        \n",
       "ECA                                                    94.89624                                        \n",
       "TEC                                                    95.03961                                        \n",
       "EUU                                                    97.76725                                        \n",
       "HPC                                                    80.05292                                        \n",
       "HIC                                                    96.47245                                        \n",
       "IBD                                                    96.35205                                        \n",
       "IBT                                                    89.59166                                        \n",
       "IDB                                                    68.29077                                        \n",
       "IDX                                                    81.45209                                        \n",
       "LCN                                                    95.53155                                        \n",
       "LAC                                                    95.68951                                        \n",
       "TLA                                                    95.61743                                        \n",
       "LDC                                                    81.41431                                        \n",
       "LMY                                                    89.57126                                        \n",
       "LIC                                                    80.75827                                        \n",
       "LMC                                                    88.13165                                        \n",
       "MEA                                                    94.27961                                        \n",
       "MNA                                                    93.68425                                        \n",
       "TMN                                                    93.66511                                        \n",
       "MIC                                                    91.34880                                        \n",
       "OED                                                    96.73227                                        \n",
       "OSS                                                    84.83424                                        \n",
       "PST                                                    96.22131                                        \n",
       "PRE                                                    75.14642                                        \n",
       "SST                                                    85.93655                                        \n",
       "SSF                                                    77.56615                                        \n",
       "SSA                                                    77.56523                                        \n",
       "TSS                                                    77.56615                                        \n",
       "UMC                                                    96.38323                                        \n",
       "WLD                                                    90.30999                                        \n",
       "\n",
       "              Children out of school (% of primary school age) [SE.PRM.UNER.ZS]  \\\n",
       "Country Code                                                                      \n",
       "ALB                                                     2.20127                   \n",
       "AUT                                                     0.47045                   \n",
       "BHS                                                    18.40080                   \n",
       "BHR                                                     1.31748                   \n",
       "BLR                                                     1.50754                   \n",
       "BEL                                                     0.97579                   \n",
       "BLZ                                                     0.41269                   \n",
       "BOL                                                    11.03696                   \n",
       "BFA                                                    29.94701                   \n",
       "CPV                                                     6.61165                   \n",
       "CMR                                                     4.36570                   \n",
       "TCD                                                    20.64092                   \n",
       "CHL                                                     3.70606                   \n",
       "COL                                                     3.61876                   \n",
       "CRI                                                     1.88182                   \n",
       "CIV                                                    23.26405                   \n",
       "HRV                                                     1.14689                   \n",
       "CUB                                                     5.91589                   \n",
       "CYP                                                     1.39976                   \n",
       "DJI                                                    39.28130                   \n",
       "DOM                                                     4.46507                   \n",
       "SLV                                                     8.97465                   \n",
       "SWZ                                                    15.69232                   \n",
       "GEO                                                     0.26285                   \n",
       "DEU                                                     0.40686                   \n",
       "GRC                                                     2.17935                   \n",
       "HND                                                    20.09608                   \n",
       "HUN                                                     2.86345                   \n",
       "ISL                                                     1.32270                   \n",
       "IRN                                                     0.23091                   \n",
       "...                                                         ...                   \n",
       "ECA                                                     3.55328                   \n",
       "TEC                                                     3.53551                   \n",
       "EUU                                                     1.33119                   \n",
       "HPC                                                    18.46955                   \n",
       "HIC                                                     1.54695                   \n",
       "IBD                                                     3.15313                   \n",
       "IBT                                                     9.17189                   \n",
       "IDB                                                    26.76077                   \n",
       "IDX                                                    17.07589                   \n",
       "LCN                                                     3.29980                   \n",
       "LAC                                                     3.18495                   \n",
       "TLA                                                     3.19511                   \n",
       "LDC                                                    17.28761                   \n",
       "LMY                                                     9.19518                   \n",
       "LIC                                                    18.02432                   \n",
       "LMC                                                    10.24032                   \n",
       "MEA                                                     5.32258                   \n",
       "MNA                                                     5.97224                   \n",
       "TMN                                                     5.99216                   \n",
       "MIC                                                     7.41438                   \n",
       "OED                                                     1.59925                   \n",
       "OSS                                                    13.52198                   \n",
       "PST                                                     1.67123                   \n",
       "PRE                                                    22.66607                   \n",
       "SST                                                    11.72521                   \n",
       "SSF                                                    20.04884                   \n",
       "SSA                                                    20.04984                   \n",
       "TSS                                                    20.04884                   \n",
       "UMC                                                     2.99216                   \n",
       "WLD                                                     8.37648                   \n",
       "\n",
       "              Pupil-teacher ratio, primary [SE.PRM.ENRL.TC.ZS]  \\\n",
       "Country Code                                                     \n",
       "ALB                                                   18.61557   \n",
       "AUT                                                   10.58415   \n",
       "BHS                                                   21.04116   \n",
       "BHR                                                   11.73164   \n",
       "BLR                                                   17.57007   \n",
       "BEL                                                   11.23127   \n",
       "BLZ                                                   20.43642   \n",
       "BOL                                                   18.10837   \n",
       "BFA                                                   42.17715   \n",
       "CPV                                                   21.94779   \n",
       "CMR                                                   41.46571   \n",
       "TCD                                                   55.54179   \n",
       "CHL                                                   18.37780   \n",
       "COL                                                   24.23937   \n",
       "CRI                                                   12.67630   \n",
       "CIV                                                   42.05050   \n",
       "HRV                                                   13.70200   \n",
       "CUB                                                    8.89917   \n",
       "CYP                                                   11.91513   \n",
       "DJI                                                   33.02204   \n",
       "DOM                                                   18.29098   \n",
       "SLV                                                   29.69441   \n",
       "SWZ                                                   27.58272   \n",
       "GEO                                                    9.01662   \n",
       "DEU                                                   12.22305   \n",
       "GRC                                                    9.64365   \n",
       "HND                                                   29.14566   \n",
       "HUN                                                   10.97863   \n",
       "ISL                                                   10.14405   \n",
       "IRN                                                   26.77414   \n",
       "...                                                        ...   \n",
       "ECA                                                   17.82266   \n",
       "TEC                                                   16.56762   \n",
       "EUU                                                   13.40088   \n",
       "HPC                                                   39.91367   \n",
       "HIC                                                   14.02746   \n",
       "IBD                                                   21.50841   \n",
       "IBT                                                   24.93134   \n",
       "IDB                                                   34.17311   \n",
       "IDX                                                   36.95185   \n",
       "LCN                                                   21.72139   \n",
       "LAC                                                   21.98897   \n",
       "TLA                                                   22.15856   \n",
       "LDC                                                   38.00919   \n",
       "LMY                                                   25.04042   \n",
       "LIC                                                   40.13131   \n",
       "LMC                                                   28.01515   \n",
       "MEA                                                   19.94048   \n",
       "MNA                                                   22.27264   \n",
       "TMN                                                   22.25553   \n",
       "MIC                                                   23.27888   \n",
       "OED                                                   15.65422   \n",
       "OSS                                                   23.55641   \n",
       "PST                                                   14.30129   \n",
       "PRE                                                   35.34598   \n",
       "SST                                                   22.66048   \n",
       "SSF                                                   37.50596   \n",
       "SSA                                                   37.50958   \n",
       "TSS                                                   37.50596   \n",
       "UMC                                                   18.32687   \n",
       "WLD                                                   23.10596   \n",
       "\n",
       "              Gross intake ratio in first grade of primary education, total (% of relevant age group) [SE.PRM.GINT.ZS]  \\\n",
       "Country Code                                                                                                             \n",
       "ALB                                                   111.00670                                                          \n",
       "AUT                                                    98.79947                                                          \n",
       "BHS                                                    87.15463                                                          \n",
       "BHR                                                   101.52670                                                          \n",
       "BLR                                                   102.54340                                                          \n",
       "BEL                                                    98.58350                                                          \n",
       "BLZ                                                   105.28140                                                          \n",
       "BOL                                                    94.79886                                                          \n",
       "BFA                                                   105.40330                                                          \n",
       "CPV                                                    94.55465                                                          \n",
       "CMR                                                   130.40900                                                          \n",
       "TCD                                                   108.51380                                                          \n",
       "CHL                                                    98.87218                                                          \n",
       "COL                                                   115.45720                                                          \n",
       "CRI                                                   104.47890                                                          \n",
       "CIV                                                    98.29878                                                          \n",
       "HRV                                                    98.62031                                                          \n",
       "CUB                                                    98.01284                                                          \n",
       "CYP                                                    96.50379                                                          \n",
       "DJI                                                    63.67819                                                          \n",
       "DOM                                                   114.08680                                                          \n",
       "SLV                                                   101.00340                                                          \n",
       "SWZ                                                    97.83201                                                          \n",
       "GEO                                                    94.19762                                                          \n",
       "DEU                                                   103.64670                                                          \n",
       "GRC                                                   103.54870                                                          \n",
       "HND                                                   100.68880                                                          \n",
       "HUN                                                   100.67700                                                          \n",
       "ISL                                                    99.22846                                                          \n",
       "IRN                                                   102.85460                                                          \n",
       "...                                                         ...                                                          \n",
       "ECA                                                    98.27954                                                          \n",
       "TEC                                                   100.47830                                                          \n",
       "EUU                                                   100.81910                                                          \n",
       "HPC                                                   122.93780                                                          \n",
       "HIC                                                   102.03540                                                          \n",
       "IBD                                                   101.87500                                                          \n",
       "IBT                                                   105.99010                                                          \n",
       "IDB                                                    97.98697                                                          \n",
       "IDX                                                   121.63870                                                          \n",
       "LCN                                                   100.50320                                                          \n",
       "LAC                                                   100.59590                                                          \n",
       "TLA                                                   100.58080                                                          \n",
       "LDC                                                   124.90740                                                          \n",
       "LMY                                                   105.88380                                                          \n",
       "LIC                                                   126.88010                                                          \n",
       "LMC                                                   103.76270                                                          \n",
       "MEA                                                   103.75720                                                          \n",
       "MNA                                                   102.81930                                                          \n",
       "TMN                                                   102.90540                                                          \n",
       "MIC                                                   101.85240                                                          \n",
       "OED                                                   101.37450                                                          \n",
       "OSS                                                   106.18460                                                          \n",
       "PST                                                    99.79988                                                          \n",
       "PRE                                                   111.45690                                                          \n",
       "SST                                                   104.49780                                                          \n",
       "SSF                                                   114.13590                                                          \n",
       "SSA                                                   114.13660                                                          \n",
       "TSS                                                   114.13590                                                          \n",
       "UMC                                                    98.66924                                                          \n",
       "WLD                                                   105.48740                                                          \n",
       "\n",
       "              School enrollment, primary (gross), gender parity index (GPI) [SE.ENR.PRIM.FM.ZS]  \\\n",
       "Country Code                                                                                      \n",
       "ALB                                                     1.03130                                   \n",
       "AUT                                                     0.99097                                   \n",
       "BHS                                                     0.97338                                   \n",
       "BHR                                                     1.00991                                   \n",
       "BLR                                                     1.00156                                   \n",
       "BEL                                                     0.99830                                   \n",
       "BLZ                                                     0.95398                                   \n",
       "BOL                                                     0.97941                                   \n",
       "BFA                                                     0.97444                                   \n",
       "CPV                                                     0.93139                                   \n",
       "CMR                                                     0.89826                                   \n",
       "TCD                                                     0.76636                                   \n",
       "CHL                                                     0.97015                                   \n",
       "COL                                                     0.96946                                   \n",
       "CRI                                                     0.99426                                   \n",
       "CIV                                                     0.88031                                   \n",
       "HRV                                                     1.00000                                   \n",
       "CUB                                                     0.94312                                   \n",
       "CYP                                                     0.99981                                   \n",
       "DJI                                                     1.07193                                   \n",
       "DOM                                                     0.91242                                   \n",
       "SLV                                                     0.95835                                   \n",
       "SWZ                                                     0.90907                                   \n",
       "GEO                                                     1.00150                                   \n",
       "DEU                                                     0.99873                                   \n",
       "GRC                                                     0.99104                                   \n",
       "HND                                                     0.99439                                   \n",
       "HUN                                                     0.99680                                   \n",
       "ISL                                                     0.99904                                   \n",
       "IRN                                                     1.06232                                   \n",
       "...                                                         ...                                   \n",
       "ECA                                                     0.99887                                   \n",
       "TEC                                                     0.99921                                   \n",
       "EUU                                                     0.99903                                   \n",
       "HPC                                                     0.94184                                   \n",
       "HIC                                                     1.00032                                   \n",
       "IBD                                                     1.02594                                   \n",
       "IBT                                                     0.99935                                   \n",
       "IDB                                                     0.93768                                   \n",
       "IDX                                                     0.95709                                   \n",
       "LCN                                                     0.97973                                   \n",
       "LAC                                                     0.97994                                   \n",
       "TLA                                                     0.98006                                   \n",
       "LDC                                                     0.95360                                   \n",
       "LMY                                                     0.99937                                   \n",
       "LIC                                                     0.93673                                   \n",
       "LMC                                                     1.02658                                   \n",
       "MEA                                                     0.96846                                   \n",
       "MNA                                                     0.96236                                   \n",
       "TMN                                                     0.96197                                   \n",
       "MIC                                                     1.01251                                   \n",
       "OED                                                     0.99900                                   \n",
       "OSS                                                     0.97958                                   \n",
       "PST                                                     1.00009                                   \n",
       "PRE                                                     0.94119                                   \n",
       "SST                                                     0.98353                                   \n",
       "SSF                                                     0.95645                                   \n",
       "SSA                                                     0.95645                                   \n",
       "TSS                                                     0.95645                                   \n",
       "UMC                                                     0.99007                                   \n",
       "WLD                                                     0.99946                                   \n",
       "\n",
       "              Unemployment, total (% of total labor force) (modeled ILO estimate) [SL.UEM.TOTL.ZS]  \\\n",
       "Country Code                                                                                         \n",
       "ALB                                                   17.080000                                      \n",
       "AUT                                                    5.723000                                      \n",
       "BHS                                                   12.000000                                      \n",
       "BHR                                                    1.076000                                      \n",
       "BLR                                                    5.913000                                      \n",
       "BEL                                                    8.482000                                      \n",
       "BLZ                                                    9.970000                                      \n",
       "BOL                                                    3.066000                                      \n",
       "BFA                                                    6.704000                                      \n",
       "CPV                                                   12.114000                                      \n",
       "CMR                                                    3.539000                                      \n",
       "TCD                                                    2.172000                                      \n",
       "CHL                                                    6.508000                                      \n",
       "COL                                                    8.299000                                      \n",
       "CRI                                                    8.999000                                      \n",
       "CIV                                                    3.113000                                      \n",
       "HRV                                                   16.174999                                      \n",
       "CUB                                                    2.400000                                      \n",
       "CYP                                                   14.908000                                      \n",
       "DJI                                                   11.094000                                      \n",
       "DOM                                                    7.605000                                      \n",
       "SLV                                                    4.000000                                      \n",
       "SWZ                                                   23.643000                                      \n",
       "GEO                                                   14.080000                                      \n",
       "DEU                                                    4.624000                                      \n",
       "GRC                                                   24.896999                                      \n",
       "HND                                                    4.592000                                      \n",
       "HUN                                                    6.813000                                      \n",
       "ISL                                                    3.979000                                      \n",
       "IRN                                                   11.060000                                      \n",
       "...                                                         ...                                      \n",
       "ECA                                                    7.542562                                      \n",
       "TEC                                                    7.616557                                      \n",
       "EUU                                                    9.383205                                      \n",
       "HPC                                                    4.057183                                      \n",
       "HIC                                                    6.617682                                      \n",
       "IBD                                                    5.090760                                      \n",
       "IBT                                                    4.944768                                      \n",
       "IDB                                                    5.014958                                      \n",
       "IDX                                                    4.132473                                      \n",
       "LCN                                                    6.640659                                      \n",
       "LAC                                                    6.644718                                      \n",
       "TLA                                                    6.686993                                      \n",
       "LDC                                                    4.027290                                      \n",
       "LMY                                                    4.911082                                      \n",
       "LIC                                                    3.760173                                      \n",
       "LMC                                                    4.130142                                      \n",
       "MEA                                                    9.906036                                      \n",
       "MNA                                                   11.587813                                      \n",
       "TMN                                                   11.437460                                      \n",
       "MIC                                                    5.035677                                      \n",
       "OED                                                    6.770438                                      \n",
       "OSS                                                   10.238516                                      \n",
       "PST                                                    6.869027                                      \n",
       "PRE                                                    5.122494                                      \n",
       "SST                                                   10.042463                                      \n",
       "SSF                                                    6.076070                                      \n",
       "SSA                                                    6.076070                                      \n",
       "TSS                                                    6.076070                                      \n",
       "UMC                                                    5.802802                                      \n",
       "WLD                                                    5.216669                                      \n",
       "\n",
       "              Population, total [SP.POP.TOTL]  \\\n",
       "Country Code                                    \n",
       "ALB                              2.880703e+06   \n",
       "AUT                              8.642699e+06   \n",
       "BHS                              3.742060e+05   \n",
       "BHR                              1.371851e+06   \n",
       "BLR                              9.489616e+06   \n",
       "BEL                              1.127420e+07   \n",
       "BLZ                              3.609330e+05   \n",
       "BOL                              1.086973e+07   \n",
       "BFA                              1.811062e+07   \n",
       "CPV                              5.247430e+05   \n",
       "CMR                              2.329837e+07   \n",
       "TCD                              1.411098e+07   \n",
       "CHL                              1.796935e+07   \n",
       "COL                              4.752067e+07   \n",
       "CRI                              4.847804e+06   \n",
       "CIV                              2.322614e+07   \n",
       "HRV                              4.203604e+06   \n",
       "CUB                              1.132478e+07   \n",
       "CYP                              1.160985e+06   \n",
       "DJI                              9.139930e+05   \n",
       "DOM                              1.028168e+07   \n",
       "SLV                              6.325124e+06   \n",
       "SWZ                              1.104044e+06   \n",
       "GEO                              3.725276e+06   \n",
       "DEU                              8.168661e+07   \n",
       "GRC                              1.082088e+07   \n",
       "HND                              9.112916e+06   \n",
       "HUN                              9.843028e+06   \n",
       "ISL                              3.308150e+05   \n",
       "IRN                              7.849222e+07   \n",
       "...                                       ...   \n",
       "ECA                              4.108443e+08   \n",
       "TEC                              4.530343e+08   \n",
       "EUU                              5.097176e+08   \n",
       "HPC                              7.181284e+08   \n",
       "HIC                              1.191327e+09   \n",
       "IBD                              4.643768e+09   \n",
       "IBT                              6.177553e+09   \n",
       "IDB                              5.194298e+08   \n",
       "IDX                              1.014355e+09   \n",
       "LCN                              6.229860e+08   \n",
       "LAC                              5.914168e+08   \n",
       "TLA                              6.069570e+08   \n",
       "LDC                              9.411313e+08   \n",
       "LMY                              6.149221e+09   \n",
       "LIC                              6.534052e+08   \n",
       "LMC                              2.898058e+09   \n",
       "MEA                              4.258218e+08   \n",
       "MNA                              3.639756e+08   \n",
       "TMN                              3.597055e+08   \n",
       "MIC                              5.495816e+09   \n",
       "OED                              1.280467e+09   \n",
       "OSS                              2.894887e+07   \n",
       "PST                              1.097025e+09   \n",
       "PRE                              8.457593e+08   \n",
       "SST                              3.852675e+07   \n",
       "SSF                              9.954585e+08   \n",
       "SSA                              9.953651e+08   \n",
       "TSS                              9.954585e+08   \n",
       "UMC                              2.597758e+09   \n",
       "WLD                              7.340548e+09   \n",
       "\n",
       "              Proportion of seats held by women in national parliaments (%) [SG.GEN.PARL.ZS]  \\\n",
       "Country Code                                                                                   \n",
       "ALB                                                   20.700000                                \n",
       "AUT                                                   30.600000                                \n",
       "BHS                                                   13.200000                                \n",
       "BHR                                                    7.500000                                \n",
       "BLR                                                   27.300000                                \n",
       "BEL                                                   39.300000                                \n",
       "BLZ                                                    3.100000                                \n",
       "BOL                                                   53.100000                                \n",
       "BFA                                                    9.400000                                \n",
       "CPV                                                   20.800000                                \n",
       "CMR                                                   31.100000                                \n",
       "TCD                                                   14.900000                                \n",
       "CHL                                                   15.800000                                \n",
       "COL                                                   19.900000                                \n",
       "CRI                                                   33.300000                                \n",
       "CIV                                                    9.200000                                \n",
       "HRV                                                   15.200000                                \n",
       "CUB                                                   48.900000                                \n",
       "CYP                                                   12.500000                                \n",
       "DJI                                                   12.700000                                \n",
       "DOM                                                   20.800000                                \n",
       "SLV                                                   32.100000                                \n",
       "SWZ                                                    6.200000                                \n",
       "GEO                                                   11.300000                                \n",
       "DEU                                                   36.500000                                \n",
       "GRC                                                   19.700000                                \n",
       "HND                                                   25.800000                                \n",
       "HUN                                                   10.100000                                \n",
       "ISL                                                   41.300000                                \n",
       "IRN                                                    3.100000                                \n",
       "...                                                         ...                                \n",
       "ECA                                                   18.021552                                \n",
       "TEC                                                   18.887483                                \n",
       "EUU                                                   28.381321                                \n",
       "HPC                                                   23.852950                                \n",
       "HIC                                                   26.435207                                \n",
       "IBD                                                   21.302907                                \n",
       "IBT                                                   21.114788                                \n",
       "IDB                                                   18.572967                                \n",
       "IDX                                                   21.431341                                \n",
       "LCN                                                   27.908350                                \n",
       "LAC                                                   29.205806                                \n",
       "TLA                                                   24.268971                                \n",
       "LDC                                                   23.044322                                \n",
       "LMY                                                   21.563994                                \n",
       "LIC                                                   22.041572                                \n",
       "LMC                                                   20.070013                                \n",
       "MEA                                                   16.388246                                \n",
       "MNA                                                   16.902135                                \n",
       "TMN                                                   16.902135                                \n",
       "MIC                                                   21.410397                                \n",
       "OED                                                   27.959368                                \n",
       "OSS                                                   18.619645                                \n",
       "PST                                                   28.578706                                \n",
       "PRE                                                   21.842412                                \n",
       "SST                                                   16.944457                                \n",
       "SSF                                                   23.640948                                \n",
       "SSA                                                   23.566474                                \n",
       "TSS                                                   23.640948                                \n",
       "UMC                                                   22.366320                                \n",
       "WLD                                                   22.852166                                \n",
       "\n",
<<<<<<< HEAD
       "[269 rows x 23 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Time                                                                                                                                         3\n",
       "Time Code                                                                                                                                    5\n",
       "Country Name                                                                                                                                 5\n",
       "Country Code                                                                                                                                 5\n",
       "Access to electricity (% of population) [EG.ELC.ACCS.ZS]                                                                                     8\n",
       "Agricultural land (% of land area) [AG.LND.AGRI.ZS]                                                                                         15\n",
       "Bank capital to assets ratio (%) [FB.BNK.CAPA.ZS]                                                                                          145\n",
       "Secondary education, pupils [SE.SEC.ENRL]                                                                                                   75\n",
       "GDP per capita (current US$) [NY.GDP.PCAP.CD]                                                                                               19\n",
       "Rural population (% of total population) [SP.RUR.TOTL.ZS]                                                                                    9\n",
       "Population density (people per sq. km of land area) [EN.POP.DNST]                                                                            9\n",
       "Life expectancy at birth, total (years) [SP.DYN.LE00.IN]                                                                                    23\n",
       "Adjusted net enrollment rate, primary (% of primary school age children) [SE.PRM.TENR]                                                      99\n",
       "Children out of school (% of primary school age) [SE.PRM.UNER.ZS]                                                                           92\n",
       "Pupil-teacher ratio, primary [SE.PRM.ENRL.TC.ZS]                                                                                            81\n",
       "Gross intake ratio in first grade of primary education, total (% of relevant age group) [SE.PRM.GINT.ZS]                                    79\n",
       "School enrollment, primary (gross), gender parity index (GPI) [SE.ENR.PRIM.FM.ZS]                                                           60\n",
       "Unemployment, total (% of total labor force) (modeled ILO estimate) [SL.UEM.TOTL.ZS]                                                        36\n",
       "Population, total [SP.POP.TOTL]                                                                                                              7\n",
       "Proportion of seats held by women in national parliaments (%) [SG.GEN.PARL.ZS]                                                              34\n",
       "Total debt service (% of GNI) [DT.TDS.DECT.GN.ZS]                                                                                          120\n",
       "GDP growth (annual %) [NY.GDP.MKTP.KD.ZG]                                                                                                   20\n",
       "Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure [SH.UHC.OOPC.10.TO]    266\n",
       "dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=data.drop(columns=[\"Time\",\"Time Code\",\"Country Name\",\"Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure [SH.UHC.OOPC.10.TO]\",\"Total debt service (% of GNI) [DT.TDS.DECT.GN.ZS]\",\"Bank capital to assets ratio (%) [FB.BNK.CAPA.ZS]\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country Code                                                                                                0\n",
       "Access to electricity (% of population) [EG.ELC.ACCS.ZS]                                                    0\n",
       "Agricultural land (% of land area) [AG.LND.AGRI.ZS]                                                         0\n",
       "Secondary education, pupils [SE.SEC.ENRL]                                                                   0\n",
       "GDP per capita (current US$) [NY.GDP.PCAP.CD]                                                               0\n",
       "Rural population (% of total population) [SP.RUR.TOTL.ZS]                                                   0\n",
       "Population density (people per sq. km of land area) [EN.POP.DNST]                                           0\n",
       "Life expectancy at birth, total (years) [SP.DYN.LE00.IN]                                                    0\n",
       "Adjusted net enrollment rate, primary (% of primary school age children) [SE.PRM.TENR]                      0\n",
       "Children out of school (% of primary school age) [SE.PRM.UNER.ZS]                                           0\n",
       "Pupil-teacher ratio, primary [SE.PRM.ENRL.TC.ZS]                                                            0\n",
       "Gross intake ratio in first grade of primary education, total (% of relevant age group) [SE.PRM.GINT.ZS]    0\n",
       "School enrollment, primary (gross), gender parity index (GPI) [SE.ENR.PRIM.FM.ZS]                           0\n",
       "Unemployment, total (% of total labor force) (modeled ILO estimate) [SL.UEM.TOTL.ZS]                        0\n",
       "Population, total [SP.POP.TOTL]                                                                             0\n",
       "Proportion of seats held by women in national parliaments (%) [SG.GEN.PARL.ZS]                              0\n",
       "GDP growth (annual %) [NY.GDP.MKTP.KD.ZG]                                                                   0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
=======
       "              GDP growth (annual %) [NY.GDP.MKTP.KD.ZG]  \n",
       "Country Code                                             \n",
       "ALB                                            2.230000  \n",
       "AUT                                            1.142980  \n",
       "BHS                                            1.044960  \n",
       "BHR                                            2.861968  \n",
       "BLR                                           -3.829571  \n",
       "BEL                                            1.739580  \n",
       "BLZ                                            3.431950  \n",
       "BOL                                            4.857188  \n",
       "BFA                                            3.894548  \n",
       "CPV                                            1.006864  \n",
       "CMR                                            5.651464  \n",
       "TCD                                            2.767676  \n",
       "CHL                                            2.303767  \n",
       "COL                                            2.955946  \n",
       "CRI                                            3.631731  \n",
       "CIV                                            8.842860  \n",
       "HRV                                            2.400592  \n",
       "CUB                                            4.438142  \n",
       "CYP                                            1.962304  \n",
       "DJI                                            9.683798  \n",
       "DOM                                            7.033371  \n",
       "SLV                                            2.395029  \n",
       "SWZ                                            0.391129  \n",
       "GEO                                            2.880527  \n",
       "DEU                                            1.738968  \n",
       "GRC                                           -0.437834  \n",
       "HND                                            3.840080  \n",
       "HUN                                            3.536425  \n",
       "ISL                                            4.467861  \n",
       "IRN                                           -1.320645  \n",
       "...                                                 ...  \n",
       "ECA                                            0.818800  \n",
       "TEC                                            1.224060  \n",
       "EUU                                            2.338866  \n",
       "HPC                                            4.921545  \n",
       "HIC                                            2.323517  \n",
       "IBD                                            3.838403  \n",
       "IBT                                            3.859921  \n",
       "IDB                                            3.873094  \n",
       "IDX                                            4.462011  \n",
       "LCN                                            0.087392  \n",
       "LAC                                           -0.064061  \n",
       "TLA                                            0.047912  \n",
       "LDC                                            4.047272  \n",
       "LMY                                            3.886911  \n",
       "LIC                                            2.874426  \n",
       "LMC                                            5.585129  \n",
       "MEA                                            2.509976  \n",
       "MNA                                            0.984978  \n",
       "TMN                                            0.965836  \n",
       "MIC                                            3.901337  \n",
       "OED                                            2.419495  \n",
       "OSS                                            2.793413  \n",
       "PST                                            2.109428  \n",
       "PRE                                            3.070877  \n",
       "SST                                            2.572772  \n",
       "SSF                                            2.815844  \n",
       "SSA                                            2.814316  \n",
       "TSS                                            2.815844  \n",
       "UMC                                            3.411958  \n",
       "WLD                                            2.852939  \n",
       "\n",
       "[109 rows x 16 columns]"
      ]
     },
     "execution_count": 94,
>>>>>>> refs/remotes/origin/master
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
<<<<<<< HEAD
    "data=data.dropna(axis='rows')\n",
    "data.isna().sum()"
=======
    "data"
>>>>>>> refs/remotes/origin/master
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 29,
=======
   "execution_count": null,
>>>>>>> refs/remotes/origin/master
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 30,
=======
   "execution_count": 95,
>>>>>>> refs/remotes/origin/master
   "metadata": {},
   "outputs": [],
   "source": [
    "variablesNames=[\"electricity\",\n",
    "\"agricultural\",\n",
    "\"secondary_pupils\",\t\n",
    "\"GDP_p_c\",\n",
    "\"rural_population\",\n",
    "\"population_density\",\n",
    "\"life_expectancy\",\n",
    "\"enrollment_rate\",\n",
    "\"out_of_school\",\n",
    "\"pupil_teacher_ratio\",\n",
    "\"gross_intake\",\n",
    "\"GPI\",\n",
    "\"unemployment\",\n",
    "\"population\",\n",
    "\"proportion_women\",\n",
    "\"GDP_growth\"]\n",
    "data.columns=variablesNames"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 31,
   "metadata": {},
=======
   "execution_count": 96,
   "metadata": {
    "scrolled": true
   },
>>>>>>> refs/remotes/origin/master
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity</th>\n",
       "      <th>agricultural</th>\n",
       "      <th>secondary_pupils</th>\n",
       "      <th>GDP_p_c</th>\n",
       "      <th>rural_population</th>\n",
       "      <th>population_density</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>enrollment_rate</th>\n",
       "      <th>out_of_school</th>\n",
       "      <th>pupil_teacher_ratio</th>\n",
       "      <th>gross_intake</th>\n",
       "      <th>GPI</th>\n",
       "      <th>unemployment</th>\n",
       "      <th>population</th>\n",
       "      <th>proportion_women</th>\n",
       "      <th>GDP_growth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ALB</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.857666</td>\n",
       "      <td>315079.0</td>\n",
       "      <td>3952.830781</td>\n",
       "      <td>42.566000</td>\n",
       "      <td>105.135146</td>\n",
       "      <td>78.025000</td>\n",
       "      <td>97.79873</td>\n",
       "      <td>2.20127</td>\n",
       "      <td>18.61557</td>\n",
       "      <td>111.00670</td>\n",
       "      <td>1.03130</td>\n",
       "      <td>17.080000</td>\n",
       "      <td>2.880703e+06</td>\n",
       "      <td>20.700000</td>\n",
       "      <td>2.230000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUT</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>32.941726</td>\n",
       "      <td>691071.3</td>\n",
       "      <td>44176.671743</td>\n",
       "      <td>42.285000</td>\n",
       "      <td>104.730793</td>\n",
       "      <td>81.190244</td>\n",
       "      <td>88.62591</td>\n",
       "      <td>0.47045</td>\n",
       "      <td>10.58415</td>\n",
       "      <td>98.79947</td>\n",
       "      <td>0.99097</td>\n",
       "      <td>5.723000</td>\n",
       "      <td>8.642699e+06</td>\n",
       "      <td>30.600000</td>\n",
       "      <td>1.142980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHS</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>1.398601</td>\n",
       "      <td>25766.0</td>\n",
       "      <td>31512.856555</td>\n",
       "      <td>17.254000</td>\n",
       "      <td>37.383217</td>\n",
       "      <td>73.088000</td>\n",
       "      <td>79.96521</td>\n",
       "      <td>18.40080</td>\n",
       "      <td>21.04116</td>\n",
       "      <td>87.15463</td>\n",
       "      <td>0.97338</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3.742060e+05</td>\n",
       "      <td>13.200000</td>\n",
       "      <td>1.044960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHR</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>11.053985</td>\n",
       "      <td>92454.0</td>\n",
       "      <td>22688.944400</td>\n",
       "      <td>11.001000</td>\n",
       "      <td>1763.304558</td>\n",
       "      <td>76.762000</td>\n",
       "      <td>98.02753</td>\n",
       "      <td>1.31748</td>\n",
       "      <td>11.73164</td>\n",
       "      <td>101.52670</td>\n",
       "      <td>1.00991</td>\n",
       "      <td>1.076000</td>\n",
       "      <td>1.371851e+06</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>2.861968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BLR</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.242016</td>\n",
       "      <td>644153.0</td>\n",
       "      <td>5949.106307</td>\n",
       "      <td>22.819000</td>\n",
       "      <td>46.751942</td>\n",
       "      <td>73.624390</td>\n",
       "      <td>94.25545</td>\n",
       "      <td>1.50754</td>\n",
       "      <td>17.57007</td>\n",
       "      <td>102.54340</td>\n",
       "      <td>1.00156</td>\n",
       "      <td>5.913000</td>\n",
       "      <td>9.489616e+06</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>-3.829571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BEL</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>43.857332</td>\n",
       "      <td>1217912.0</td>\n",
       "      <td>40441.052042</td>\n",
       "      <td>2.124000</td>\n",
       "      <td>372.331440</td>\n",
       "      <td>80.992683</td>\n",
       "      <td>98.38347</td>\n",
       "      <td>0.97579</td>\n",
       "      <td>11.23127</td>\n",
       "      <td>98.58350</td>\n",
       "      <td>0.99830</td>\n",
       "      <td>8.482000</td>\n",
       "      <td>1.127420e+07</td>\n",
       "      <td>39.300000</td>\n",
       "      <td>1.739580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BLZ</th>\n",
       "      <td>91.800000</td>\n",
       "      <td>7.014467</td>\n",
       "      <td>37856.0</td>\n",
       "      <td>4883.179011</td>\n",
       "      <td>54.594000</td>\n",
       "      <td>15.823455</td>\n",
       "      <td>74.034000</td>\n",
       "      <td>99.28398</td>\n",
       "      <td>0.41269</td>\n",
       "      <td>20.43642</td>\n",
       "      <td>105.28140</td>\n",
       "      <td>0.95398</td>\n",
       "      <td>9.970000</td>\n",
       "      <td>3.609330e+05</td>\n",
       "      <td>3.100000</td>\n",
       "      <td>3.431950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOL</th>\n",
       "      <td>91.522822</td>\n",
       "      <td>34.765070</td>\n",
       "      <td>1153379.0</td>\n",
       "      <td>3035.972215</td>\n",
       "      <td>31.607000</td>\n",
       "      <td>10.033906</td>\n",
       "      <td>70.277000</td>\n",
       "      <td>88.70123</td>\n",
       "      <td>11.03696</td>\n",
       "      <td>18.10837</td>\n",
       "      <td>94.79886</td>\n",
       "      <td>0.97941</td>\n",
       "      <td>3.066000</td>\n",
       "      <td>1.086973e+07</td>\n",
       "      <td>53.100000</td>\n",
       "      <td>4.857188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BFA</th>\n",
       "      <td>21.789345</td>\n",
       "      <td>44.225146</td>\n",
       "      <td>965550.0</td>\n",
       "      <td>575.314454</td>\n",
       "      <td>72.470000</td>\n",
       "      <td>66.193801</td>\n",
       "      <td>59.919000</td>\n",
       "      <td>69.95995</td>\n",
       "      <td>29.94701</td>\n",
       "      <td>42.17715</td>\n",
       "      <td>105.40330</td>\n",
       "      <td>0.97444</td>\n",
       "      <td>6.704000</td>\n",
       "      <td>1.811062e+07</td>\n",
       "      <td>9.400000</td>\n",
       "      <td>3.894548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPV</th>\n",
       "      <td>88.378189</td>\n",
       "      <td>19.602978</td>\n",
       "      <td>58657.0</td>\n",
       "      <td>3043.013984</td>\n",
       "      <td>35.700000</td>\n",
       "      <td>130.209181</td>\n",
       "      <td>72.117000</td>\n",
       "      <td>93.38192</td>\n",
       "      <td>6.61165</td>\n",
       "      <td>21.94779</td>\n",
       "      <td>94.55465</td>\n",
       "      <td>0.93139</td>\n",
       "      <td>12.114000</td>\n",
       "      <td>5.247430e+05</td>\n",
       "      <td>20.800000</td>\n",
       "      <td>1.006864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMR</th>\n",
       "      <td>58.814274</td>\n",
       "      <td>20.625754</td>\n",
       "      <td>2108279.0</td>\n",
       "      <td>1326.969277</td>\n",
       "      <td>45.422000</td>\n",
       "      <td>49.286810</td>\n",
       "      <td>57.583000</td>\n",
       "      <td>95.19802</td>\n",
       "      <td>4.36570</td>\n",
       "      <td>41.46571</td>\n",
       "      <td>130.40900</td>\n",
       "      <td>0.89826</td>\n",
       "      <td>3.539000</td>\n",
       "      <td>2.329837e+07</td>\n",
       "      <td>31.100000</td>\n",
       "      <td>5.651464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TCD</th>\n",
       "      <td>7.700000</td>\n",
       "      <td>39.656131</td>\n",
       "      <td>513248.0</td>\n",
       "      <td>775.707524</td>\n",
       "      <td>77.485000</td>\n",
       "      <td>11.206302</td>\n",
       "      <td>53.137000</td>\n",
       "      <td>79.35908</td>\n",
       "      <td>20.64092</td>\n",
       "      <td>55.54179</td>\n",
       "      <td>108.51380</td>\n",
       "      <td>0.76636</td>\n",
       "      <td>2.172000</td>\n",
       "      <td>1.411098e+07</td>\n",
       "      <td>14.900000</td>\n",
       "      <td>2.767676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHL</th>\n",
       "      <td>99.714844</td>\n",
       "      <td>21.229751</td>\n",
       "      <td>1546323.0</td>\n",
       "      <td>13574.171504</td>\n",
       "      <td>12.640000</td>\n",
       "      <td>24.167557</td>\n",
       "      <td>79.646000</td>\n",
       "      <td>93.47354</td>\n",
       "      <td>3.70606</td>\n",
       "      <td>18.37780</td>\n",
       "      <td>98.87218</td>\n",
       "      <td>0.97015</td>\n",
       "      <td>6.508000</td>\n",
       "      <td>1.796935e+07</td>\n",
       "      <td>15.800000</td>\n",
       "      <td>2.303767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COL</th>\n",
       "      <td>98.186898</td>\n",
       "      <td>40.257415</td>\n",
       "      <td>4793963.0</td>\n",
       "      <td>6175.876030</td>\n",
       "      <td>20.236000</td>\n",
       "      <td>42.830705</td>\n",
       "      <td>76.531000</td>\n",
       "      <td>96.38124</td>\n",
       "      <td>3.61876</td>\n",
       "      <td>24.23937</td>\n",
       "      <td>115.45720</td>\n",
       "      <td>0.96946</td>\n",
       "      <td>8.299000</td>\n",
       "      <td>4.752067e+07</td>\n",
       "      <td>19.900000</td>\n",
       "      <td>2.955946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRI</th>\n",
       "      <td>99.409804</td>\n",
       "      <td>34.860948</td>\n",
       "      <td>460252.0</td>\n",
       "      <td>11299.136177</td>\n",
       "      <td>23.138000</td>\n",
       "      <td>94.943282</td>\n",
       "      <td>79.565000</td>\n",
       "      <td>97.81775</td>\n",
       "      <td>1.88182</td>\n",
       "      <td>12.67630</td>\n",
       "      <td>104.47890</td>\n",
       "      <td>0.99426</td>\n",
       "      <td>8.999000</td>\n",
       "      <td>4.847804e+06</td>\n",
       "      <td>33.300000</td>\n",
       "      <td>3.631731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CIV</th>\n",
       "      <td>63.312946</td>\n",
       "      <td>64.779874</td>\n",
       "      <td>1587348.0</td>\n",
       "      <td>1426.457845</td>\n",
       "      <td>50.556000</td>\n",
       "      <td>73.038186</td>\n",
       "      <td>56.065000</td>\n",
       "      <td>76.73595</td>\n",
       "      <td>23.26405</td>\n",
       "      <td>42.05050</td>\n",
       "      <td>98.29878</td>\n",
       "      <td>0.88031</td>\n",
       "      <td>3.113000</td>\n",
       "      <td>2.322614e+07</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>8.842860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HRV</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.476769</td>\n",
       "      <td>360205.0</td>\n",
       "      <td>11780.131242</td>\n",
       "      <td>43.845000</td>\n",
       "      <td>75.118013</td>\n",
       "      <td>77.275610</td>\n",
       "      <td>98.49112</td>\n",
       "      <td>1.14689</td>\n",
       "      <td>13.70200</td>\n",
       "      <td>98.62031</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>16.174999</td>\n",
       "      <td>4.203604e+06</td>\n",
       "      <td>15.200000</td>\n",
       "      <td>2.400592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CUB</th>\n",
       "      <td>99.268761</td>\n",
       "      <td>59.991346</td>\n",
       "      <td>825055.0</td>\n",
       "      <td>7694.011920</td>\n",
       "      <td>23.104000</td>\n",
       "      <td>108.871188</td>\n",
       "      <td>78.561000</td>\n",
       "      <td>94.08411</td>\n",
       "      <td>5.91589</td>\n",
       "      <td>8.89917</td>\n",
       "      <td>98.01284</td>\n",
       "      <td>0.94312</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>1.132478e+07</td>\n",
       "      <td>48.900000</td>\n",
       "      <td>4.438142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CYP</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>13.799784</td>\n",
       "      <td>57161.0</td>\n",
       "      <td>23217.484151</td>\n",
       "      <td>33.054000</td>\n",
       "      <td>125.647727</td>\n",
       "      <td>80.350000</td>\n",
       "      <td>97.82834</td>\n",
       "      <td>1.39976</td>\n",
       "      <td>11.91513</td>\n",
       "      <td>96.50379</td>\n",
       "      <td>0.99981</td>\n",
       "      <td>14.908000</td>\n",
       "      <td>1.160985e+06</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>1.962304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJI</th>\n",
       "      <td>57.549080</td>\n",
       "      <td>73.425367</td>\n",
       "      <td>59483.0</td>\n",
       "      <td>1787.477500</td>\n",
       "      <td>22.583000</td>\n",
       "      <td>39.430242</td>\n",
       "      <td>64.136000</td>\n",
       "      <td>60.71870</td>\n",
       "      <td>39.28130</td>\n",
       "      <td>33.02204</td>\n",
       "      <td>63.67819</td>\n",
       "      <td>1.07193</td>\n",
       "      <td>11.094000</td>\n",
       "      <td>9.139930e+05</td>\n",
       "      <td>12.700000</td>\n",
       "      <td>9.683798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOM</th>\n",
       "      <td>98.560364</td>\n",
       "      <td>48.685572</td>\n",
       "      <td>929493.0</td>\n",
       "      <td>6691.716920</td>\n",
       "      <td>21.434000</td>\n",
       "      <td>212.827158</td>\n",
       "      <td>73.241000</td>\n",
       "      <td>95.53493</td>\n",
       "      <td>4.46507</td>\n",
       "      <td>18.29098</td>\n",
       "      <td>114.08680</td>\n",
       "      <td>0.91242</td>\n",
       "      <td>7.605000</td>\n",
       "      <td>1.028168e+07</td>\n",
       "      <td>20.800000</td>\n",
       "      <td>7.033371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLV</th>\n",
       "      <td>95.400000</td>\n",
       "      <td>75.530888</td>\n",
       "      <td>599947.0</td>\n",
       "      <td>3705.577946</td>\n",
       "      <td>30.300000</td>\n",
       "      <td>305.266602</td>\n",
       "      <td>72.412000</td>\n",
       "      <td>86.61827</td>\n",
       "      <td>8.97465</td>\n",
       "      <td>29.69441</td>\n",
       "      <td>101.00340</td>\n",
       "      <td>0.95835</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.325124e+06</td>\n",
       "      <td>32.100000</td>\n",
       "      <td>2.395029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SWZ</th>\n",
       "      <td>66.028038</td>\n",
       "      <td>71.046512</td>\n",
       "      <td>100494.0</td>\n",
       "      <td>3641.408583</td>\n",
       "      <td>76.700000</td>\n",
       "      <td>64.188605</td>\n",
       "      <td>55.359000</td>\n",
       "      <td>84.30768</td>\n",
       "      <td>15.69232</td>\n",
       "      <td>27.58272</td>\n",
       "      <td>97.83201</td>\n",
       "      <td>0.90907</td>\n",
       "      <td>23.643000</td>\n",
       "      <td>1.104044e+06</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>0.391129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEO</th>\n",
       "      <td>99.994484</td>\n",
       "      <td>34.797814</td>\n",
       "      <td>277874.0</td>\n",
       "      <td>3756.383768</td>\n",
       "      <td>42.552000</td>\n",
       "      <td>65.175059</td>\n",
       "      <td>72.973000</td>\n",
       "      <td>99.73715</td>\n",
       "      <td>0.26285</td>\n",
       "      <td>9.01662</td>\n",
       "      <td>94.19762</td>\n",
       "      <td>1.00150</td>\n",
       "      <td>14.080000</td>\n",
       "      <td>3.725276e+06</td>\n",
       "      <td>11.300000</td>\n",
       "      <td>2.880527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEU</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>47.959206</td>\n",
       "      <td>7112950.0</td>\n",
       "      <td>41394.658161</td>\n",
       "      <td>22.800000</td>\n",
       "      <td>234.153669</td>\n",
       "      <td>80.641463</td>\n",
       "      <td>99.59314</td>\n",
       "      <td>0.40686</td>\n",
       "      <td>12.22305</td>\n",
       "      <td>103.64670</td>\n",
       "      <td>0.99873</td>\n",
       "      <td>4.624000</td>\n",
       "      <td>8.168661e+07</td>\n",
       "      <td>36.500000</td>\n",
       "      <td>1.738968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GRC</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>48.091544</td>\n",
       "      <td>662741.0</td>\n",
       "      <td>18167.773717</td>\n",
       "      <td>21.954000</td>\n",
       "      <td>83.947890</td>\n",
       "      <td>81.036585</td>\n",
       "      <td>97.32526</td>\n",
       "      <td>2.17935</td>\n",
       "      <td>9.64365</td>\n",
       "      <td>103.54870</td>\n",
       "      <td>0.99104</td>\n",
       "      <td>24.896999</td>\n",
       "      <td>1.082088e+07</td>\n",
       "      <td>19.700000</td>\n",
       "      <td>-0.437834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HND</th>\n",
       "      <td>89.981710</td>\n",
       "      <td>28.912325</td>\n",
       "      <td>637727.0</td>\n",
       "      <td>2286.200039</td>\n",
       "      <td>44.835000</td>\n",
       "      <td>81.445312</td>\n",
       "      <td>74.495000</td>\n",
       "      <td>78.42569</td>\n",
       "      <td>20.09608</td>\n",
       "      <td>29.14566</td>\n",
       "      <td>100.68880</td>\n",
       "      <td>0.99439</td>\n",
       "      <td>4.592000</td>\n",
       "      <td>9.112916e+06</td>\n",
       "      <td>25.800000</td>\n",
       "      <td>3.840080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HUN</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>58.146471</td>\n",
       "      <td>826626.0</td>\n",
       "      <td>12503.682068</td>\n",
       "      <td>29.500000</td>\n",
       "      <td>108.726698</td>\n",
       "      <td>75.568293</td>\n",
       "      <td>96.37729</td>\n",
       "      <td>2.86345</td>\n",
       "      <td>10.97863</td>\n",
       "      <td>100.67700</td>\n",
       "      <td>0.99680</td>\n",
       "      <td>6.813000</td>\n",
       "      <td>9.843028e+06</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>3.536425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ISL</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>18.673317</td>\n",
       "      <td>36818.0</td>\n",
       "      <td>52428.595763</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>3.299900</td>\n",
       "      <td>82.468293</td>\n",
       "      <td>98.63840</td>\n",
       "      <td>1.32270</td>\n",
       "      <td>10.14405</td>\n",
       "      <td>99.22846</td>\n",
       "      <td>0.99904</td>\n",
       "      <td>3.979000</td>\n",
       "      <td>3.308150e+05</td>\n",
       "      <td>41.300000</td>\n",
       "      <td>4.467861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IRN</th>\n",
       "      <td>99.982254</td>\n",
       "      <td>28.214102</td>\n",
       "      <td>5712478.0</td>\n",
       "      <td>4916.085938</td>\n",
       "      <td>26.642000</td>\n",
       "      <td>48.191394</td>\n",
       "      <td>75.796000</td>\n",
       "      <td>99.76909</td>\n",
       "      <td>0.23091</td>\n",
       "      <td>26.77414</td>\n",
       "      <td>102.85460</td>\n",
       "      <td>1.06232</td>\n",
       "      <td>11.060000</td>\n",
       "      <td>7.849222e+07</td>\n",
       "      <td>3.100000</td>\n",
       "      <td>-1.320645</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ECA</th>\n",
       "      <td>99.992234</td>\n",
       "      <td>28.205000</td>\n",
       "      <td>36400000.0</td>\n",
       "      <td>7517.912478</td>\n",
       "      <td>33.571967</td>\n",
       "      <td>18.161155</td>\n",
       "      <td>72.710373</td>\n",
       "      <td>94.89624</td>\n",
       "      <td>3.55328</td>\n",
       "      <td>17.82266</td>\n",
       "      <td>98.27954</td>\n",
       "      <td>0.99887</td>\n",
       "      <td>7.542562</td>\n",
       "      <td>4.108443e+08</td>\n",
       "      <td>18.021552</td>\n",
       "      <td>0.818800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TEC</th>\n",
       "      <td>99.992957</td>\n",
       "      <td>28.452858</td>\n",
       "      <td>39300000.0</td>\n",
       "      <td>7981.267098</td>\n",
       "      <td>34.185401</td>\n",
       "      <td>19.710602</td>\n",
       "      <td>73.150247</td>\n",
       "      <td>95.03961</td>\n",
       "      <td>3.53551</td>\n",
       "      <td>16.56762</td>\n",
       "      <td>100.47830</td>\n",
       "      <td>0.99921</td>\n",
       "      <td>7.616557</td>\n",
       "      <td>4.530343e+08</td>\n",
       "      <td>18.887483</td>\n",
       "      <td>1.224060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EUU</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>43.046352</td>\n",
       "      <td>42400000.0</td>\n",
       "      <td>32265.880882</td>\n",
       "      <td>24.977388</td>\n",
       "      <td>120.264908</td>\n",
       "      <td>80.620593</td>\n",
       "      <td>97.76725</td>\n",
       "      <td>1.33119</td>\n",
       "      <td>13.40088</td>\n",
       "      <td>100.81910</td>\n",
       "      <td>0.99903</td>\n",
       "      <td>9.383205</td>\n",
       "      <td>5.097176e+08</td>\n",
       "      <td>28.381321</td>\n",
       "      <td>2.338866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HPC</th>\n",
       "      <td>35.708870</td>\n",
       "      <td>38.602651</td>\n",
       "      <td>40500000.0</td>\n",
       "      <td>920.453213</td>\n",
       "      <td>65.358531</td>\n",
       "      <td>41.322116</td>\n",
       "      <td>61.852953</td>\n",
       "      <td>80.05292</td>\n",
       "      <td>18.46955</td>\n",
       "      <td>39.91367</td>\n",
       "      <td>122.93780</td>\n",
       "      <td>0.94184</td>\n",
       "      <td>4.057183</td>\n",
       "      <td>7.181284e+08</td>\n",
       "      <td>23.852950</td>\n",
       "      <td>4.921545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HIC</th>\n",
       "      <td>99.977482</td>\n",
       "      <td>35.004300</td>\n",
       "      <td>91000000.0</td>\n",
       "      <td>40165.803565</td>\n",
       "      <td>19.197787</td>\n",
       "      <td>33.906859</td>\n",
       "      <td>80.489614</td>\n",
       "      <td>96.47245</td>\n",
       "      <td>1.54695</td>\n",
       "      <td>14.02746</td>\n",
       "      <td>102.03540</td>\n",
       "      <td>1.00032</td>\n",
       "      <td>6.617682</td>\n",
       "      <td>1.191327e+09</td>\n",
       "      <td>26.435207</td>\n",
       "      <td>2.323517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IBD</th>\n",
       "      <td>95.399599</td>\n",
       "      <td>36.821922</td>\n",
       "      <td>393000000.0</td>\n",
       "      <td>5569.060182</td>\n",
       "      <td>46.839635</td>\n",
       "      <td>66.933535</td>\n",
       "      <td>72.699876</td>\n",
       "      <td>96.35205</td>\n",
       "      <td>3.15313</td>\n",
       "      <td>21.50841</td>\n",
       "      <td>101.87500</td>\n",
       "      <td>1.02594</td>\n",
       "      <td>5.090760</td>\n",
       "      <td>4.643768e+09</td>\n",
       "      <td>21.302907</td>\n",
       "      <td>3.838403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IBT</th>\n",
       "      <td>84.588038</td>\n",
       "      <td>38.299495</td>\n",
       "      <td>493000000.0</td>\n",
       "      <td>4525.228811</td>\n",
       "      <td>51.192481</td>\n",
       "      <td>66.183135</td>\n",
       "      <td>70.357029</td>\n",
       "      <td>89.59166</td>\n",
       "      <td>9.17189</td>\n",
       "      <td>24.93134</td>\n",
       "      <td>105.99010</td>\n",
       "      <td>0.99935</td>\n",
       "      <td>4.944768</td>\n",
       "      <td>6.177553e+09</td>\n",
       "      <td>21.114788</td>\n",
       "      <td>3.859921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IDB</th>\n",
       "      <td>61.950417</td>\n",
       "      <td>52.968278</td>\n",
       "      <td>35800000.0</td>\n",
       "      <td>1973.224112</td>\n",
       "      <td>58.994712</td>\n",
       "      <td>87.213963</td>\n",
       "      <td>61.371577</td>\n",
       "      <td>68.29077</td>\n",
       "      <td>26.76077</td>\n",
       "      <td>34.17311</td>\n",
       "      <td>97.98697</td>\n",
       "      <td>0.93768</td>\n",
       "      <td>5.014958</td>\n",
       "      <td>5.194298e+08</td>\n",
       "      <td>18.572967</td>\n",
       "      <td>3.873094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IDX</th>\n",
       "      <td>46.684429</td>\n",
       "      <td>39.141281</td>\n",
       "      <td>64900000.0</td>\n",
       "      <td>1057.633648</td>\n",
       "      <td>67.153013</td>\n",
       "      <td>56.335277</td>\n",
       "      <td>64.231762</td>\n",
       "      <td>81.45209</td>\n",
       "      <td>17.07589</td>\n",
       "      <td>36.95185</td>\n",
       "      <td>121.63870</td>\n",
       "      <td>0.95709</td>\n",
       "      <td>4.132473</td>\n",
       "      <td>1.014355e+09</td>\n",
       "      <td>21.431341</td>\n",
       "      <td>4.462011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LCN</th>\n",
       "      <td>97.326187</td>\n",
       "      <td>37.707432</td>\n",
       "      <td>64000000.0</td>\n",
       "      <td>8856.928817</td>\n",
       "      <td>20.145987</td>\n",
       "      <td>31.088113</td>\n",
       "      <td>74.959698</td>\n",
       "      <td>95.53155</td>\n",
       "      <td>3.29980</td>\n",
       "      <td>21.72139</td>\n",
       "      <td>100.50320</td>\n",
       "      <td>0.97973</td>\n",
       "      <td>6.640659</td>\n",
       "      <td>6.229860e+08</td>\n",
       "      <td>27.908350</td>\n",
       "      <td>0.087392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAC</th>\n",
       "      <td>97.227906</td>\n",
       "      <td>38.004919</td>\n",
       "      <td>61400000.0</td>\n",
       "      <td>8449.223414</td>\n",
       "      <td>20.359647</td>\n",
       "      <td>31.096219</td>\n",
       "      <td>74.760447</td>\n",
       "      <td>95.68951</td>\n",
       "      <td>3.18495</td>\n",
       "      <td>21.98897</td>\n",
       "      <td>100.59590</td>\n",
       "      <td>0.97994</td>\n",
       "      <td>6.644718</td>\n",
       "      <td>5.914168e+08</td>\n",
       "      <td>29.205806</td>\n",
       "      <td>-0.064061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TLA</th>\n",
       "      <td>97.269219</td>\n",
       "      <td>37.619114</td>\n",
       "      <td>62900000.0</td>\n",
       "      <td>8716.406758</td>\n",
       "      <td>20.149901</td>\n",
       "      <td>30.479472</td>\n",
       "      <td>74.864734</td>\n",
       "      <td>95.61743</td>\n",
       "      <td>3.19511</td>\n",
       "      <td>22.15856</td>\n",
       "      <td>100.58080</td>\n",
       "      <td>0.98006</td>\n",
       "      <td>6.686993</td>\n",
       "      <td>6.069570e+08</td>\n",
       "      <td>24.268971</td>\n",
       "      <td>0.047912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDC</th>\n",
       "      <td>42.812959</td>\n",
       "      <td>38.749190</td>\n",
       "      <td>58600000.0</td>\n",
       "      <td>1020.578572</td>\n",
       "      <td>67.998731</td>\n",
       "      <td>52.983281</td>\n",
       "      <td>63.947777</td>\n",
       "      <td>81.41431</td>\n",
       "      <td>17.28761</td>\n",
       "      <td>38.00919</td>\n",
       "      <td>124.90740</td>\n",
       "      <td>0.95360</td>\n",
       "      <td>4.027290</td>\n",
       "      <td>9.411313e+08</td>\n",
       "      <td>23.044322</td>\n",
       "      <td>4.047272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LMY</th>\n",
       "      <td>84.272316</td>\n",
       "      <td>38.343081</td>\n",
       "      <td>492000000.0</td>\n",
       "      <td>4418.337014</td>\n",
       "      <td>51.297339</td>\n",
       "      <td>66.687760</td>\n",
       "      <td>70.293775</td>\n",
       "      <td>89.57126</td>\n",
       "      <td>9.19518</td>\n",
       "      <td>25.04042</td>\n",
       "      <td>105.88380</td>\n",
       "      <td>0.99937</td>\n",
       "      <td>4.911082</td>\n",
       "      <td>6.149221e+09</td>\n",
       "      <td>21.563994</td>\n",
       "      <td>3.886911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LIC</th>\n",
       "      <td>34.333636</td>\n",
       "      <td>39.768807</td>\n",
       "      <td>37400000.0</td>\n",
       "      <td>792.208130</td>\n",
       "      <td>68.712638</td>\n",
       "      <td>47.863709</td>\n",
       "      <td>62.554738</td>\n",
       "      <td>80.75827</td>\n",
       "      <td>18.02432</td>\n",
       "      <td>40.13131</td>\n",
       "      <td>126.88010</td>\n",
       "      <td>0.93673</td>\n",
       "      <td>3.760173</td>\n",
       "      <td>6.534052e+08</td>\n",
       "      <td>22.041572</td>\n",
       "      <td>2.874426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LMC</th>\n",
       "      <td>82.158725</td>\n",
       "      <td>45.900366</td>\n",
       "      <td>250000000.0</td>\n",
       "      <td>1995.940544</td>\n",
       "      <td>60.882354</td>\n",
       "      <td>143.883379</td>\n",
       "      <td>67.804712</td>\n",
       "      <td>88.13165</td>\n",
       "      <td>10.24032</td>\n",
       "      <td>28.01515</td>\n",
       "      <td>103.76270</td>\n",
       "      <td>1.02658</td>\n",
       "      <td>4.130142</td>\n",
       "      <td>2.898058e+09</td>\n",
       "      <td>20.070013</td>\n",
       "      <td>5.585129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEA</th>\n",
       "      <td>97.431377</td>\n",
       "      <td>33.316101</td>\n",
       "      <td>35500000.0</td>\n",
       "      <td>7388.593939</td>\n",
       "      <td>35.629099</td>\n",
       "      <td>37.940309</td>\n",
       "      <td>73.514845</td>\n",
       "      <td>94.27961</td>\n",
       "      <td>5.32258</td>\n",
       "      <td>19.94048</td>\n",
       "      <td>103.75720</td>\n",
       "      <td>0.96846</td>\n",
       "      <td>9.906036</td>\n",
       "      <td>4.258218e+08</td>\n",
       "      <td>16.388246</td>\n",
       "      <td>2.509976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MNA</th>\n",
       "      <td>96.994920</td>\n",
       "      <td>22.878483</td>\n",
       "      <td>30100000.0</td>\n",
       "      <td>3960.769906</td>\n",
       "      <td>39.398369</td>\n",
       "      <td>42.121496</td>\n",
       "      <td>73.000296</td>\n",
       "      <td>93.68425</td>\n",
       "      <td>5.97224</td>\n",
       "      <td>22.27264</td>\n",
       "      <td>102.81930</td>\n",
       "      <td>0.96236</td>\n",
       "      <td>11.587813</td>\n",
       "      <td>3.639756e+08</td>\n",
       "      <td>16.902135</td>\n",
       "      <td>0.984978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TMN</th>\n",
       "      <td>96.959246</td>\n",
       "      <td>22.860048</td>\n",
       "      <td>29400000.0</td>\n",
       "      <td>3972.175733</td>\n",
       "      <td>39.573662</td>\n",
       "      <td>41.656355</td>\n",
       "      <td>72.995053</td>\n",
       "      <td>93.66511</td>\n",
       "      <td>5.99216</td>\n",
       "      <td>22.25553</td>\n",
       "      <td>102.90540</td>\n",
       "      <td>0.96197</td>\n",
       "      <td>11.437460</td>\n",
       "      <td>3.597055e+08</td>\n",
       "      <td>16.902135</td>\n",
       "      <td>0.965836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MIC</th>\n",
       "      <td>90.209656</td>\n",
       "      <td>38.095292</td>\n",
       "      <td>455000000.0</td>\n",
       "      <td>4850.346612</td>\n",
       "      <td>49.226131</td>\n",
       "      <td>69.958907</td>\n",
       "      <td>71.213915</td>\n",
       "      <td>91.34880</td>\n",
       "      <td>7.41438</td>\n",
       "      <td>23.27888</td>\n",
       "      <td>101.85240</td>\n",
       "      <td>1.01251</td>\n",
       "      <td>5.035677</td>\n",
       "      <td>5.495816e+09</td>\n",
       "      <td>21.410397</td>\n",
       "      <td>3.901337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OED</th>\n",
       "      <td>99.900831</td>\n",
       "      <td>34.218083</td>\n",
       "      <td>109000000.0</td>\n",
       "      <td>36604.036210</td>\n",
       "      <td>19.990396</td>\n",
       "      <td>37.151247</td>\n",
       "      <td>79.934026</td>\n",
       "      <td>96.73227</td>\n",
       "      <td>1.59925</td>\n",
       "      <td>15.65422</td>\n",
       "      <td>101.37450</td>\n",
       "      <td>0.99900</td>\n",
       "      <td>6.770438</td>\n",
       "      <td>1.280467e+09</td>\n",
       "      <td>27.959368</td>\n",
       "      <td>2.419495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OSS</th>\n",
       "      <td>72.485615</td>\n",
       "      <td>40.400360</td>\n",
       "      <td>2019982.0</td>\n",
       "      <td>12832.040131</td>\n",
       "      <td>39.404635</td>\n",
       "      <td>14.247921</td>\n",
       "      <td>67.405236</td>\n",
       "      <td>84.83424</td>\n",
       "      <td>13.52198</td>\n",
       "      <td>23.55641</td>\n",
       "      <td>106.18460</td>\n",
       "      <td>0.97958</td>\n",
       "      <td>10.238516</td>\n",
       "      <td>2.894887e+07</td>\n",
       "      <td>18.619645</td>\n",
       "      <td>2.793413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PST</th>\n",
       "      <td>99.992451</td>\n",
       "      <td>33.607978</td>\n",
       "      <td>84000000.0</td>\n",
       "      <td>40474.337602</td>\n",
       "      <td>19.254039</td>\n",
       "      <td>34.866612</td>\n",
       "      <td>80.394899</td>\n",
       "      <td>96.22131</td>\n",
       "      <td>1.67123</td>\n",
       "      <td>14.30129</td>\n",
       "      <td>99.79988</td>\n",
       "      <td>1.00009</td>\n",
       "      <td>6.869027</td>\n",
       "      <td>1.097025e+09</td>\n",
       "      <td>28.578706</td>\n",
       "      <td>2.109428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRE</th>\n",
       "      <td>40.292501</td>\n",
       "      <td>41.324807</td>\n",
       "      <td>49000000.0</td>\n",
       "      <td>1585.942265</td>\n",
       "      <td>60.406110</td>\n",
       "      <td>47.543045</td>\n",
       "      <td>59.511959</td>\n",
       "      <td>75.14642</td>\n",
       "      <td>22.66607</td>\n",
       "      <td>35.34598</td>\n",
       "      <td>111.45690</td>\n",
       "      <td>0.94119</td>\n",
       "      <td>5.122494</td>\n",
       "      <td>8.457593e+08</td>\n",
       "      <td>21.842412</td>\n",
       "      <td>3.070877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SST</th>\n",
       "      <td>77.426679</td>\n",
       "      <td>34.179070</td>\n",
       "      <td>2815803.0</td>\n",
       "      <td>11732.173394</td>\n",
       "      <td>42.622785</td>\n",
       "      <td>15.405488</td>\n",
       "      <td>68.614011</td>\n",
       "      <td>85.93655</td>\n",
       "      <td>11.72521</td>\n",
       "      <td>22.66048</td>\n",
       "      <td>104.49780</td>\n",
       "      <td>0.98353</td>\n",
       "      <td>10.042463</td>\n",
       "      <td>3.852675e+07</td>\n",
       "      <td>16.944457</td>\n",
       "      <td>2.572772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSF</th>\n",
       "      <td>39.399695</td>\n",
       "      <td>43.679445</td>\n",
       "      <td>58900000.0</td>\n",
       "      <td>1669.443418</td>\n",
       "      <td>61.408927</td>\n",
       "      <td>46.861951</td>\n",
       "      <td>59.952831</td>\n",
       "      <td>77.56615</td>\n",
       "      <td>20.04884</td>\n",
       "      <td>37.50596</td>\n",
       "      <td>114.13590</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.954585e+08</td>\n",
       "      <td>23.640948</td>\n",
       "      <td>2.815844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSA</th>\n",
       "      <td>39.394007</td>\n",
       "      <td>43.680318</td>\n",
       "      <td>58900000.0</td>\n",
       "      <td>1668.215982</td>\n",
       "      <td>61.410505</td>\n",
       "      <td>46.858568</td>\n",
       "      <td>59.951484</td>\n",
       "      <td>77.56523</td>\n",
       "      <td>20.04984</td>\n",
       "      <td>37.50958</td>\n",
       "      <td>114.13660</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.953651e+08</td>\n",
       "      <td>23.566474</td>\n",
       "      <td>2.814316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TSS</th>\n",
       "      <td>39.399695</td>\n",
       "      <td>43.679445</td>\n",
       "      <td>58900000.0</td>\n",
       "      <td>1669.443418</td>\n",
       "      <td>61.408927</td>\n",
       "      <td>46.861951</td>\n",
       "      <td>59.952831</td>\n",
       "      <td>77.56615</td>\n",
       "      <td>20.04884</td>\n",
       "      <td>37.50596</td>\n",
       "      <td>114.13590</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.954585e+08</td>\n",
       "      <td>23.640948</td>\n",
       "      <td>2.815844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UMC</th>\n",
       "      <td>99.191467</td>\n",
       "      <td>35.403619</td>\n",
       "      <td>204000000.0</td>\n",
       "      <td>8032.489459</td>\n",
       "      <td>36.213422</td>\n",
       "      <td>44.469925</td>\n",
       "      <td>75.017527</td>\n",
       "      <td>96.38323</td>\n",
       "      <td>2.99216</td>\n",
       "      <td>18.32687</td>\n",
       "      <td>98.66924</td>\n",
       "      <td>0.99007</td>\n",
       "      <td>5.802802</td>\n",
       "      <td>2.597758e+09</td>\n",
       "      <td>22.366320</td>\n",
       "      <td>3.411958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WLD</th>\n",
       "      <td>86.778707</td>\n",
       "      <td>37.421819</td>\n",
       "      <td>583000000.0</td>\n",
       "      <td>10217.656013</td>\n",
       "      <td>46.086627</td>\n",
       "      <td>57.643265</td>\n",
       "      <td>71.947898</td>\n",
       "      <td>90.30999</td>\n",
       "      <td>8.37648</td>\n",
       "      <td>23.10596</td>\n",
       "      <td>105.48740</td>\n",
       "      <td>0.99946</td>\n",
       "      <td>5.216669</td>\n",
       "      <td>7.340548e+09</td>\n",
       "      <td>22.852166</td>\n",
       "      <td>2.852939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>109 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              electricity  agricultural  secondary_pupils       GDP_p_c  \\\n",
       "Country Code                                                              \n",
       "ALB            100.000000     42.857666          315079.0   3952.830781   \n",
       "AUT            100.000000     32.941726          691071.3  44176.671743   \n",
       "BHS            100.000000      1.398601           25766.0  31512.856555   \n",
       "BHR            100.000000     11.053985           92454.0  22688.944400   \n",
       "BLR            100.000000     42.242016          644153.0   5949.106307   \n",
       "BEL            100.000000     43.857332         1217912.0  40441.052042   \n",
       "BLZ             91.800000      7.014467           37856.0   4883.179011   \n",
       "BOL             91.522822     34.765070         1153379.0   3035.972215   \n",
       "BFA             21.789345     44.225146          965550.0    575.314454   \n",
       "CPV             88.378189     19.602978           58657.0   3043.013984   \n",
       "CMR             58.814274     20.625754         2108279.0   1326.969277   \n",
       "TCD              7.700000     39.656131          513248.0    775.707524   \n",
       "CHL             99.714844     21.229751         1546323.0  13574.171504   \n",
       "COL             98.186898     40.257415         4793963.0   6175.876030   \n",
       "CRI             99.409804     34.860948          460252.0  11299.136177   \n",
       "CIV             63.312946     64.779874         1587348.0   1426.457845   \n",
       "HRV            100.000000     27.476769          360205.0  11780.131242   \n",
       "CUB             99.268761     59.991346          825055.0   7694.011920   \n",
       "CYP            100.000000     13.799784           57161.0  23217.484151   \n",
       "DJI             57.549080     73.425367           59483.0   1787.477500   \n",
       "DOM             98.560364     48.685572          929493.0   6691.716920   \n",
       "SLV             95.400000     75.530888          599947.0   3705.577946   \n",
       "SWZ             66.028038     71.046512          100494.0   3641.408583   \n",
       "GEO             99.994484     34.797814          277874.0   3756.383768   \n",
       "DEU            100.000000     47.959206         7112950.0  41394.658161   \n",
       "GRC            100.000000     48.091544          662741.0  18167.773717   \n",
       "HND             89.981710     28.912325          637727.0   2286.200039   \n",
       "HUN            100.000000     58.146471          826626.0  12503.682068   \n",
       "ISL            100.000000     18.673317           36818.0  52428.595763   \n",
       "IRN             99.982254     28.214102         5712478.0   4916.085938   \n",
       "...                   ...           ...               ...           ...   \n",
       "ECA             99.992234     28.205000        36400000.0   7517.912478   \n",
       "TEC             99.992957     28.452858        39300000.0   7981.267098   \n",
       "EUU            100.000000     43.046352        42400000.0  32265.880882   \n",
       "HPC             35.708870     38.602651        40500000.0    920.453213   \n",
       "HIC             99.977482     35.004300        91000000.0  40165.803565   \n",
       "IBD             95.399599     36.821922       393000000.0   5569.060182   \n",
       "IBT             84.588038     38.299495       493000000.0   4525.228811   \n",
       "IDB             61.950417     52.968278        35800000.0   1973.224112   \n",
       "IDX             46.684429     39.141281        64900000.0   1057.633648   \n",
       "LCN             97.326187     37.707432        64000000.0   8856.928817   \n",
       "LAC             97.227906     38.004919        61400000.0   8449.223414   \n",
       "TLA             97.269219     37.619114        62900000.0   8716.406758   \n",
       "LDC             42.812959     38.749190        58600000.0   1020.578572   \n",
       "LMY             84.272316     38.343081       492000000.0   4418.337014   \n",
       "LIC             34.333636     39.768807        37400000.0    792.208130   \n",
       "LMC             82.158725     45.900366       250000000.0   1995.940544   \n",
       "MEA             97.431377     33.316101        35500000.0   7388.593939   \n",
       "MNA             96.994920     22.878483        30100000.0   3960.769906   \n",
       "TMN             96.959246     22.860048        29400000.0   3972.175733   \n",
       "MIC             90.209656     38.095292       455000000.0   4850.346612   \n",
       "OED             99.900831     34.218083       109000000.0  36604.036210   \n",
       "OSS             72.485615     40.400360         2019982.0  12832.040131   \n",
       "PST             99.992451     33.607978        84000000.0  40474.337602   \n",
       "PRE             40.292501     41.324807        49000000.0   1585.942265   \n",
       "SST             77.426679     34.179070         2815803.0  11732.173394   \n",
       "SSF             39.399695     43.679445        58900000.0   1669.443418   \n",
       "SSA             39.394007     43.680318        58900000.0   1668.215982   \n",
       "TSS             39.399695     43.679445        58900000.0   1669.443418   \n",
       "UMC             99.191467     35.403619       204000000.0   8032.489459   \n",
       "WLD             86.778707     37.421819       583000000.0  10217.656013   \n",
       "\n",
       "              rural_population  population_density  life_expectancy  \\\n",
       "Country Code                                                          \n",
       "ALB                  42.566000          105.135146        78.025000   \n",
       "AUT                  42.285000          104.730793        81.190244   \n",
       "BHS                  17.254000           37.383217        73.088000   \n",
       "BHR                  11.001000         1763.304558        76.762000   \n",
       "BLR                  22.819000           46.751942        73.624390   \n",
       "BEL                   2.124000          372.331440        80.992683   \n",
       "BLZ                  54.594000           15.823455        74.034000   \n",
       "BOL                  31.607000           10.033906        70.277000   \n",
       "BFA                  72.470000           66.193801        59.919000   \n",
       "CPV                  35.700000          130.209181        72.117000   \n",
       "CMR                  45.422000           49.286810        57.583000   \n",
       "TCD                  77.485000           11.206302        53.137000   \n",
       "CHL                  12.640000           24.167557        79.646000   \n",
       "COL                  20.236000           42.830705        76.531000   \n",
       "CRI                  23.138000           94.943282        79.565000   \n",
       "CIV                  50.556000           73.038186        56.065000   \n",
       "HRV                  43.845000           75.118013        77.275610   \n",
       "CUB                  23.104000          108.871188        78.561000   \n",
       "CYP                  33.054000          125.647727        80.350000   \n",
       "DJI                  22.583000           39.430242        64.136000   \n",
       "DOM                  21.434000          212.827158        73.241000   \n",
       "SLV                  30.300000          305.266602        72.412000   \n",
       "SWZ                  76.700000           64.188605        55.359000   \n",
       "GEO                  42.552000           65.175059        72.973000   \n",
       "DEU                  22.800000          234.153669        80.641463   \n",
       "GRC                  21.954000           83.947890        81.036585   \n",
       "HND                  44.835000           81.445312        74.495000   \n",
       "HUN                  29.500000          108.726698        75.568293   \n",
       "ISL                   6.300000            3.299900        82.468293   \n",
       "IRN                  26.642000           48.191394        75.796000   \n",
       "...                        ...                 ...              ...   \n",
       "ECA                  33.571967           18.161155        72.710373   \n",
       "TEC                  34.185401           19.710602        73.150247   \n",
       "EUU                  24.977388          120.264908        80.620593   \n",
       "HPC                  65.358531           41.322116        61.852953   \n",
       "HIC                  19.197787           33.906859        80.489614   \n",
       "IBD                  46.839635           66.933535        72.699876   \n",
       "IBT                  51.192481           66.183135        70.357029   \n",
       "IDB                  58.994712           87.213963        61.371577   \n",
       "IDX                  67.153013           56.335277        64.231762   \n",
       "LCN                  20.145987           31.088113        74.959698   \n",
       "LAC                  20.359647           31.096219        74.760447   \n",
       "TLA                  20.149901           30.479472        74.864734   \n",
       "LDC                  67.998731           52.983281        63.947777   \n",
       "LMY                  51.297339           66.687760        70.293775   \n",
       "LIC                  68.712638           47.863709        62.554738   \n",
       "LMC                  60.882354          143.883379        67.804712   \n",
       "MEA                  35.629099           37.940309        73.514845   \n",
       "MNA                  39.398369           42.121496        73.000296   \n",
       "TMN                  39.573662           41.656355        72.995053   \n",
       "MIC                  49.226131           69.958907        71.213915   \n",
       "OED                  19.990396           37.151247        79.934026   \n",
       "OSS                  39.404635           14.247921        67.405236   \n",
       "PST                  19.254039           34.866612        80.394899   \n",
       "PRE                  60.406110           47.543045        59.511959   \n",
       "SST                  42.622785           15.405488        68.614011   \n",
       "SSF                  61.408927           46.861951        59.952831   \n",
       "SSA                  61.410505           46.858568        59.951484   \n",
       "TSS                  61.408927           46.861951        59.952831   \n",
       "UMC                  36.213422           44.469925        75.017527   \n",
       "WLD                  46.086627           57.643265        71.947898   \n",
       "\n",
       "              enrollment_rate  out_of_school  pupil_teacher_ratio  \\\n",
       "Country Code                                                        \n",
       "ALB                  97.79873        2.20127             18.61557   \n",
       "AUT                  88.62591        0.47045             10.58415   \n",
       "BHS                  79.96521       18.40080             21.04116   \n",
       "BHR                  98.02753        1.31748             11.73164   \n",
       "BLR                  94.25545        1.50754             17.57007   \n",
       "BEL                  98.38347        0.97579             11.23127   \n",
       "BLZ                  99.28398        0.41269             20.43642   \n",
       "BOL                  88.70123       11.03696             18.10837   \n",
       "BFA                  69.95995       29.94701             42.17715   \n",
       "CPV                  93.38192        6.61165             21.94779   \n",
       "CMR                  95.19802        4.36570             41.46571   \n",
       "TCD                  79.35908       20.64092             55.54179   \n",
       "CHL                  93.47354        3.70606             18.37780   \n",
       "COL                  96.38124        3.61876             24.23937   \n",
       "CRI                  97.81775        1.88182             12.67630   \n",
       "CIV                  76.73595       23.26405             42.05050   \n",
       "HRV                  98.49112        1.14689             13.70200   \n",
       "CUB                  94.08411        5.91589              8.89917   \n",
       "CYP                  97.82834        1.39976             11.91513   \n",
       "DJI                  60.71870       39.28130             33.02204   \n",
       "DOM                  95.53493        4.46507             18.29098   \n",
       "SLV                  86.61827        8.97465             29.69441   \n",
       "SWZ                  84.30768       15.69232             27.58272   \n",
       "GEO                  99.73715        0.26285              9.01662   \n",
       "DEU                  99.59314        0.40686             12.22305   \n",
       "GRC                  97.32526        2.17935              9.64365   \n",
       "HND                  78.42569       20.09608             29.14566   \n",
       "HUN                  96.37729        2.86345             10.97863   \n",
       "ISL                  98.63840        1.32270             10.14405   \n",
       "IRN                  99.76909        0.23091             26.77414   \n",
       "...                       ...            ...                  ...   \n",
       "ECA                  94.89624        3.55328             17.82266   \n",
       "TEC                  95.03961        3.53551             16.56762   \n",
       "EUU                  97.76725        1.33119             13.40088   \n",
       "HPC                  80.05292       18.46955             39.91367   \n",
       "HIC                  96.47245        1.54695             14.02746   \n",
       "IBD                  96.35205        3.15313             21.50841   \n",
       "IBT                  89.59166        9.17189             24.93134   \n",
       "IDB                  68.29077       26.76077             34.17311   \n",
       "IDX                  81.45209       17.07589             36.95185   \n",
       "LCN                  95.53155        3.29980             21.72139   \n",
       "LAC                  95.68951        3.18495             21.98897   \n",
       "TLA                  95.61743        3.19511             22.15856   \n",
       "LDC                  81.41431       17.28761             38.00919   \n",
       "LMY                  89.57126        9.19518             25.04042   \n",
       "LIC                  80.75827       18.02432             40.13131   \n",
       "LMC                  88.13165       10.24032             28.01515   \n",
       "MEA                  94.27961        5.32258             19.94048   \n",
       "MNA                  93.68425        5.97224             22.27264   \n",
       "TMN                  93.66511        5.99216             22.25553   \n",
       "MIC                  91.34880        7.41438             23.27888   \n",
       "OED                  96.73227        1.59925             15.65422   \n",
       "OSS                  84.83424       13.52198             23.55641   \n",
       "PST                  96.22131        1.67123             14.30129   \n",
       "PRE                  75.14642       22.66607             35.34598   \n",
       "SST                  85.93655       11.72521             22.66048   \n",
       "SSF                  77.56615       20.04884             37.50596   \n",
       "SSA                  77.56523       20.04984             37.50958   \n",
       "TSS                  77.56615       20.04884             37.50596   \n",
       "UMC                  96.38323        2.99216             18.32687   \n",
       "WLD                  90.30999        8.37648             23.10596   \n",
       "\n",
       "              gross_intake      GPI  unemployment    population  \\\n",
       "Country Code                                                      \n",
       "ALB              111.00670  1.03130     17.080000  2.880703e+06   \n",
       "AUT               98.79947  0.99097      5.723000  8.642699e+06   \n",
       "BHS               87.15463  0.97338     12.000000  3.742060e+05   \n",
       "BHR              101.52670  1.00991      1.076000  1.371851e+06   \n",
       "BLR              102.54340  1.00156      5.913000  9.489616e+06   \n",
       "BEL               98.58350  0.99830      8.482000  1.127420e+07   \n",
       "BLZ              105.28140  0.95398      9.970000  3.609330e+05   \n",
       "BOL               94.79886  0.97941      3.066000  1.086973e+07   \n",
       "BFA              105.40330  0.97444      6.704000  1.811062e+07   \n",
       "CPV               94.55465  0.93139     12.114000  5.247430e+05   \n",
       "CMR              130.40900  0.89826      3.539000  2.329837e+07   \n",
       "TCD              108.51380  0.76636      2.172000  1.411098e+07   \n",
       "CHL               98.87218  0.97015      6.508000  1.796935e+07   \n",
       "COL              115.45720  0.96946      8.299000  4.752067e+07   \n",
       "CRI              104.47890  0.99426      8.999000  4.847804e+06   \n",
       "CIV               98.29878  0.88031      3.113000  2.322614e+07   \n",
       "HRV               98.62031  1.00000     16.174999  4.203604e+06   \n",
       "CUB               98.01284  0.94312      2.400000  1.132478e+07   \n",
       "CYP               96.50379  0.99981     14.908000  1.160985e+06   \n",
       "DJI               63.67819  1.07193     11.094000  9.139930e+05   \n",
       "DOM              114.08680  0.91242      7.605000  1.028168e+07   \n",
       "SLV              101.00340  0.95835      4.000000  6.325124e+06   \n",
       "SWZ               97.83201  0.90907     23.643000  1.104044e+06   \n",
       "GEO               94.19762  1.00150     14.080000  3.725276e+06   \n",
       "DEU              103.64670  0.99873      4.624000  8.168661e+07   \n",
       "GRC              103.54870  0.99104     24.896999  1.082088e+07   \n",
       "HND              100.68880  0.99439      4.592000  9.112916e+06   \n",
       "HUN              100.67700  0.99680      6.813000  9.843028e+06   \n",
       "ISL               99.22846  0.99904      3.979000  3.308150e+05   \n",
       "IRN              102.85460  1.06232     11.060000  7.849222e+07   \n",
       "...                    ...      ...           ...           ...   \n",
       "ECA               98.27954  0.99887      7.542562  4.108443e+08   \n",
       "TEC              100.47830  0.99921      7.616557  4.530343e+08   \n",
       "EUU              100.81910  0.99903      9.383205  5.097176e+08   \n",
       "HPC              122.93780  0.94184      4.057183  7.181284e+08   \n",
       "HIC              102.03540  1.00032      6.617682  1.191327e+09   \n",
       "IBD              101.87500  1.02594      5.090760  4.643768e+09   \n",
       "IBT              105.99010  0.99935      4.944768  6.177553e+09   \n",
       "IDB               97.98697  0.93768      5.014958  5.194298e+08   \n",
       "IDX              121.63870  0.95709      4.132473  1.014355e+09   \n",
       "LCN              100.50320  0.97973      6.640659  6.229860e+08   \n",
       "LAC              100.59590  0.97994      6.644718  5.914168e+08   \n",
       "TLA              100.58080  0.98006      6.686993  6.069570e+08   \n",
       "LDC              124.90740  0.95360      4.027290  9.411313e+08   \n",
       "LMY              105.88380  0.99937      4.911082  6.149221e+09   \n",
       "LIC              126.88010  0.93673      3.760173  6.534052e+08   \n",
       "LMC              103.76270  1.02658      4.130142  2.898058e+09   \n",
       "MEA              103.75720  0.96846      9.906036  4.258218e+08   \n",
       "MNA              102.81930  0.96236     11.587813  3.639756e+08   \n",
       "TMN              102.90540  0.96197     11.437460  3.597055e+08   \n",
       "MIC              101.85240  1.01251      5.035677  5.495816e+09   \n",
       "OED              101.37450  0.99900      6.770438  1.280467e+09   \n",
       "OSS              106.18460  0.97958     10.238516  2.894887e+07   \n",
       "PST               99.79988  1.00009      6.869027  1.097025e+09   \n",
       "PRE              111.45690  0.94119      5.122494  8.457593e+08   \n",
       "SST              104.49780  0.98353     10.042463  3.852675e+07   \n",
       "SSF              114.13590  0.95645      6.076070  9.954585e+08   \n",
       "SSA              114.13660  0.95645      6.076070  9.953651e+08   \n",
       "TSS              114.13590  0.95645      6.076070  9.954585e+08   \n",
       "UMC               98.66924  0.99007      5.802802  2.597758e+09   \n",
       "WLD              105.48740  0.99946      5.216669  7.340548e+09   \n",
       "\n",
       "              proportion_women  GDP_growth  \n",
       "Country Code                                \n",
       "ALB                  20.700000    2.230000  \n",
       "AUT                  30.600000    1.142980  \n",
       "BHS                  13.200000    1.044960  \n",
       "BHR                   7.500000    2.861968  \n",
       "BLR                  27.300000   -3.829571  \n",
       "BEL                  39.300000    1.739580  \n",
       "BLZ                   3.100000    3.431950  \n",
       "BOL                  53.100000    4.857188  \n",
       "BFA                   9.400000    3.894548  \n",
       "CPV                  20.800000    1.006864  \n",
       "CMR                  31.100000    5.651464  \n",
       "TCD                  14.900000    2.767676  \n",
       "CHL                  15.800000    2.303767  \n",
       "COL                  19.900000    2.955946  \n",
       "CRI                  33.300000    3.631731  \n",
       "CIV                   9.200000    8.842860  \n",
       "HRV                  15.200000    2.400592  \n",
       "CUB                  48.900000    4.438142  \n",
       "CYP                  12.500000    1.962304  \n",
       "DJI                  12.700000    9.683798  \n",
       "DOM                  20.800000    7.033371  \n",
       "SLV                  32.100000    2.395029  \n",
       "SWZ                   6.200000    0.391129  \n",
       "GEO                  11.300000    2.880527  \n",
       "DEU                  36.500000    1.738968  \n",
       "GRC                  19.700000   -0.437834  \n",
       "HND                  25.800000    3.840080  \n",
       "HUN                  10.100000    3.536425  \n",
       "ISL                  41.300000    4.467861  \n",
       "IRN                   3.100000   -1.320645  \n",
       "...                        ...         ...  \n",
       "ECA                  18.021552    0.818800  \n",
       "TEC                  18.887483    1.224060  \n",
       "EUU                  28.381321    2.338866  \n",
       "HPC                  23.852950    4.921545  \n",
       "HIC                  26.435207    2.323517  \n",
       "IBD                  21.302907    3.838403  \n",
       "IBT                  21.114788    3.859921  \n",
       "IDB                  18.572967    3.873094  \n",
       "IDX                  21.431341    4.462011  \n",
       "LCN                  27.908350    0.087392  \n",
       "LAC                  29.205806   -0.064061  \n",
       "TLA                  24.268971    0.047912  \n",
       "LDC                  23.044322    4.047272  \n",
       "LMY                  21.563994    3.886911  \n",
       "LIC                  22.041572    2.874426  \n",
       "LMC                  20.070013    5.585129  \n",
       "MEA                  16.388246    2.509976  \n",
       "MNA                  16.902135    0.984978  \n",
       "TMN                  16.902135    0.965836  \n",
       "MIC                  21.410397    3.901337  \n",
       "OED                  27.959368    2.419495  \n",
       "OSS                  18.619645    2.793413  \n",
       "PST                  28.578706    2.109428  \n",
       "PRE                  21.842412    3.070877  \n",
       "SST                  16.944457    2.572772  \n",
       "SSF                  23.640948    2.815844  \n",
       "SSA                  23.566474    2.814316  \n",
       "TSS                  23.640948    2.815844  \n",
       "UMC                  22.366320    3.411958  \n",
       "WLD                  22.852166    2.852939  \n",
       "\n",
       "[109 rows x 16 columns]"
      ]
     },
<<<<<<< HEAD
     "execution_count": 31,
=======
     "execution_count": 96,
>>>>>>> refs/remotes/origin/master
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 32,
   "metadata": {},
=======
   "execution_count": 97,
   "metadata": {
    "scrolled": true
   },
>>>>>>> refs/remotes/origin/master
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity</th>\n",
       "      <th>agricultural</th>\n",
       "      <th>secondary_pupils</th>\n",
       "      <th>GDP_p_c</th>\n",
       "      <th>rural_population</th>\n",
       "      <th>population_density</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>enrollment_rate</th>\n",
       "      <th>out_of_school</th>\n",
       "      <th>pupil_teacher_ratio</th>\n",
       "      <th>gross_intake</th>\n",
       "      <th>GPI</th>\n",
       "      <th>unemployment</th>\n",
       "      <th>population</th>\n",
       "      <th>proportion_women</th>\n",
       "      <th>GDP_growth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>electricity</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.213015</td>\n",
       "      <td>0.001754</td>\n",
       "      <td>0.407620</td>\n",
       "      <td>-0.679918</td>\n",
       "      <td>0.149363</td>\n",
       "      <td>0.868189</td>\n",
       "      <td>0.693242</td>\n",
       "      <td>-0.721994</td>\n",
       "      <td>-0.859718</td>\n",
       "      <td>-0.357488</td>\n",
       "      <td>0.531558</td>\n",
       "      <td>0.161777</td>\n",
       "      <td>-0.027474</td>\n",
       "      <td>0.121554</td>\n",
       "      <td>-0.004903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agricultural</th>\n",
       "      <td>-0.213015</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.019631</td>\n",
       "      <td>-0.246361</td>\n",
       "      <td>0.181667</td>\n",
       "      <td>-0.082889</td>\n",
       "      <td>-0.292264</td>\n",
       "      <td>-0.155880</td>\n",
       "      <td>0.151598</td>\n",
       "      <td>0.239836</td>\n",
       "      <td>0.031228</td>\n",
       "      <td>-0.128189</td>\n",
       "      <td>0.172609</td>\n",
       "      <td>-0.018581</td>\n",
       "      <td>0.126185</td>\n",
       "      <td>0.055617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>secondary_pupils</th>\n",
       "      <td>0.001754</td>\n",
       "      <td>-0.019631</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.113457</td>\n",
       "      <td>0.143631</td>\n",
       "      <td>-0.089189</td>\n",
       "      <td>-0.045585</td>\n",
       "      <td>-0.011320</td>\n",
       "      <td>0.011662</td>\n",
       "      <td>0.069820</td>\n",
       "      <td>0.027750</td>\n",
       "      <td>0.138958</td>\n",
       "      <td>-0.179322</td>\n",
       "      <td>0.997718</td>\n",
       "      <td>-0.008159</td>\n",
       "      <td>0.068565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP_p_c</th>\n",
       "      <td>0.407620</td>\n",
       "      <td>-0.246361</td>\n",
       "      <td>-0.113457</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.632758</td>\n",
       "      <td>0.127719</td>\n",
       "      <td>0.631966</td>\n",
       "      <td>0.383217</td>\n",
       "      <td>-0.398751</td>\n",
       "      <td>-0.569991</td>\n",
       "      <td>-0.161076</td>\n",
       "      <td>0.259309</td>\n",
       "      <td>-0.063915</td>\n",
       "      <td>-0.119106</td>\n",
       "      <td>0.235060</td>\n",
       "      <td>-0.016753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rural_population</th>\n",
       "      <td>-0.679918</td>\n",
       "      <td>0.181667</td>\n",
       "      <td>0.143631</td>\n",
       "      <td>-0.632758</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.216131</td>\n",
       "      <td>-0.767453</td>\n",
       "      <td>-0.532571</td>\n",
       "      <td>0.524037</td>\n",
       "      <td>0.683930</td>\n",
       "      <td>0.342593</td>\n",
       "      <td>-0.379680</td>\n",
       "      <td>-0.043463</td>\n",
       "      <td>0.162062</td>\n",
       "      <td>-0.193973</td>\n",
       "      <td>0.055336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>population_density</th>\n",
       "      <td>0.149363</td>\n",
       "      <td>-0.082889</td>\n",
       "      <td>-0.089189</td>\n",
       "      <td>0.127719</td>\n",
       "      <td>-0.216131</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.193328</td>\n",
       "      <td>0.143170</td>\n",
       "      <td>-0.151466</td>\n",
       "      <td>-0.163849</td>\n",
       "      <td>0.011943</td>\n",
       "      <td>0.132247</td>\n",
       "      <td>-0.107783</td>\n",
       "      <td>-0.091984</td>\n",
       "      <td>-0.160294</td>\n",
       "      <td>0.150510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>life_expectancy</th>\n",
       "      <td>0.868189</td>\n",
       "      <td>-0.292264</td>\n",
       "      <td>-0.045585</td>\n",
       "      <td>0.631966</td>\n",
       "      <td>-0.767453</td>\n",
       "      <td>0.193328</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.641236</td>\n",
       "      <td>-0.666292</td>\n",
       "      <td>-0.860190</td>\n",
       "      <td>-0.321068</td>\n",
       "      <td>0.534794</td>\n",
       "      <td>0.069815</td>\n",
       "      <td>-0.065698</td>\n",
       "      <td>0.222935</td>\n",
       "      <td>0.018816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>enrollment_rate</th>\n",
       "      <td>0.693242</td>\n",
       "      <td>-0.155880</td>\n",
       "      <td>-0.011320</td>\n",
       "      <td>0.383217</td>\n",
       "      <td>-0.532571</td>\n",
       "      <td>0.143170</td>\n",
       "      <td>0.641236</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.982079</td>\n",
       "      <td>-0.697091</td>\n",
       "      <td>0.198245</td>\n",
       "      <td>0.426263</td>\n",
       "      <td>0.155605</td>\n",
       "      <td>-0.035060</td>\n",
       "      <td>0.203263</td>\n",
       "      <td>-0.251176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>out_of_school</th>\n",
       "      <td>-0.721994</td>\n",
       "      <td>0.151598</td>\n",
       "      <td>0.011662</td>\n",
       "      <td>-0.398751</td>\n",
       "      <td>0.524037</td>\n",
       "      <td>-0.151466</td>\n",
       "      <td>-0.666292</td>\n",
       "      <td>-0.982079</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.718345</td>\n",
       "      <td>-0.190400</td>\n",
       "      <td>-0.436499</td>\n",
       "      <td>-0.155109</td>\n",
       "      <td>0.034550</td>\n",
       "      <td>-0.207221</td>\n",
       "      <td>0.267788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pupil_teacher_ratio</th>\n",
       "      <td>-0.859718</td>\n",
       "      <td>0.239836</td>\n",
       "      <td>0.069820</td>\n",
       "      <td>-0.569991</td>\n",
       "      <td>0.683930</td>\n",
       "      <td>-0.163849</td>\n",
       "      <td>-0.860190</td>\n",
       "      <td>-0.697091</td>\n",
       "      <td>0.718345</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.321789</td>\n",
       "      <td>-0.569198</td>\n",
       "      <td>-0.204960</td>\n",
       "      <td>0.090060</td>\n",
       "      <td>-0.127981</td>\n",
       "      <td>0.137061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gross_intake</th>\n",
       "      <td>-0.357488</td>\n",
       "      <td>0.031228</td>\n",
       "      <td>0.027750</td>\n",
       "      <td>-0.161076</td>\n",
       "      <td>0.342593</td>\n",
       "      <td>0.011943</td>\n",
       "      <td>-0.321068</td>\n",
       "      <td>0.198245</td>\n",
       "      <td>-0.190400</td>\n",
       "      <td>0.321789</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.102763</td>\n",
       "      <td>-0.208786</td>\n",
       "      <td>0.042933</td>\n",
       "      <td>0.128666</td>\n",
       "      <td>-0.213487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GPI</th>\n",
       "      <td>0.531558</td>\n",
       "      <td>-0.128189</td>\n",
       "      <td>0.138958</td>\n",
       "      <td>0.259309</td>\n",
       "      <td>-0.379680</td>\n",
       "      <td>0.132247</td>\n",
       "      <td>0.534794</td>\n",
       "      <td>0.426263</td>\n",
       "      <td>-0.436499</td>\n",
       "      <td>-0.569198</td>\n",
       "      <td>-0.102763</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.110219</td>\n",
       "      <td>0.122915</td>\n",
       "      <td>0.113133</td>\n",
       "      <td>-0.132913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unemployment</th>\n",
       "      <td>0.161777</td>\n",
       "      <td>0.172609</td>\n",
       "      <td>-0.179322</td>\n",
       "      <td>-0.063915</td>\n",
       "      <td>-0.043463</td>\n",
       "      <td>-0.107783</td>\n",
       "      <td>0.069815</td>\n",
       "      <td>0.155605</td>\n",
       "      <td>-0.155109</td>\n",
       "      <td>-0.204960</td>\n",
       "      <td>-0.208786</td>\n",
       "      <td>0.110219</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.184739</td>\n",
       "      <td>-0.030089</td>\n",
       "      <td>-0.160793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>population</th>\n",
       "      <td>-0.027474</td>\n",
       "      <td>-0.018581</td>\n",
       "      <td>0.997718</td>\n",
       "      <td>-0.119106</td>\n",
       "      <td>0.162062</td>\n",
       "      <td>-0.091984</td>\n",
       "      <td>-0.065698</td>\n",
       "      <td>-0.035060</td>\n",
       "      <td>0.034550</td>\n",
       "      <td>0.090060</td>\n",
       "      <td>0.042933</td>\n",
       "      <td>0.122915</td>\n",
       "      <td>-0.184739</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.009692</td>\n",
       "      <td>0.071181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>proportion_women</th>\n",
       "      <td>0.121554</td>\n",
       "      <td>0.126185</td>\n",
       "      <td>-0.008159</td>\n",
       "      <td>0.235060</td>\n",
       "      <td>-0.193973</td>\n",
       "      <td>-0.160294</td>\n",
       "      <td>0.222935</td>\n",
       "      <td>0.203263</td>\n",
       "      <td>-0.207221</td>\n",
       "      <td>-0.127981</td>\n",
       "      <td>0.128666</td>\n",
       "      <td>0.113133</td>\n",
       "      <td>-0.030089</td>\n",
       "      <td>-0.009692</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.063989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP_growth</th>\n",
       "      <td>-0.004903</td>\n",
       "      <td>0.055617</td>\n",
       "      <td>0.068565</td>\n",
       "      <td>-0.016753</td>\n",
       "      <td>0.055336</td>\n",
       "      <td>0.150510</td>\n",
       "      <td>0.018816</td>\n",
       "      <td>-0.251176</td>\n",
       "      <td>0.267788</td>\n",
       "      <td>0.137061</td>\n",
       "      <td>-0.213487</td>\n",
       "      <td>-0.132913</td>\n",
       "      <td>-0.160793</td>\n",
       "      <td>0.071181</td>\n",
       "      <td>0.063989</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     electricity  agricultural  secondary_pupils   GDP_p_c  \\\n",
       "electricity             1.000000     -0.213015          0.001754  0.407620   \n",
       "agricultural           -0.213015      1.000000         -0.019631 -0.246361   \n",
       "secondary_pupils        0.001754     -0.019631          1.000000 -0.113457   \n",
       "GDP_p_c                 0.407620     -0.246361         -0.113457  1.000000   \n",
       "rural_population       -0.679918      0.181667          0.143631 -0.632758   \n",
       "population_density      0.149363     -0.082889         -0.089189  0.127719   \n",
       "life_expectancy         0.868189     -0.292264         -0.045585  0.631966   \n",
       "enrollment_rate         0.693242     -0.155880         -0.011320  0.383217   \n",
       "out_of_school          -0.721994      0.151598          0.011662 -0.398751   \n",
       "pupil_teacher_ratio    -0.859718      0.239836          0.069820 -0.569991   \n",
       "gross_intake           -0.357488      0.031228          0.027750 -0.161076   \n",
       "GPI                     0.531558     -0.128189          0.138958  0.259309   \n",
       "unemployment            0.161777      0.172609         -0.179322 -0.063915   \n",
       "population             -0.027474     -0.018581          0.997718 -0.119106   \n",
       "proportion_women        0.121554      0.126185         -0.008159  0.235060   \n",
       "GDP_growth             -0.004903      0.055617          0.068565 -0.016753   \n",
       "\n",
       "                     rural_population  population_density  life_expectancy  \\\n",
       "electricity                 -0.679918            0.149363         0.868189   \n",
       "agricultural                 0.181667           -0.082889        -0.292264   \n",
       "secondary_pupils             0.143631           -0.089189        -0.045585   \n",
       "GDP_p_c                     -0.632758            0.127719         0.631966   \n",
       "rural_population             1.000000           -0.216131        -0.767453   \n",
       "population_density          -0.216131            1.000000         0.193328   \n",
       "life_expectancy             -0.767453            0.193328         1.000000   \n",
       "enrollment_rate             -0.532571            0.143170         0.641236   \n",
       "out_of_school                0.524037           -0.151466        -0.666292   \n",
       "pupil_teacher_ratio          0.683930           -0.163849        -0.860190   \n",
       "gross_intake                 0.342593            0.011943        -0.321068   \n",
       "GPI                         -0.379680            0.132247         0.534794   \n",
       "unemployment                -0.043463           -0.107783         0.069815   \n",
       "population                   0.162062           -0.091984        -0.065698   \n",
       "proportion_women            -0.193973           -0.160294         0.222935   \n",
       "GDP_growth                   0.055336            0.150510         0.018816   \n",
       "\n",
       "                     enrollment_rate  out_of_school  pupil_teacher_ratio  \\\n",
       "electricity                 0.693242      -0.721994            -0.859718   \n",
       "agricultural               -0.155880       0.151598             0.239836   \n",
       "secondary_pupils           -0.011320       0.011662             0.069820   \n",
       "GDP_p_c                     0.383217      -0.398751            -0.569991   \n",
       "rural_population           -0.532571       0.524037             0.683930   \n",
       "population_density          0.143170      -0.151466            -0.163849   \n",
       "life_expectancy             0.641236      -0.666292            -0.860190   \n",
       "enrollment_rate             1.000000      -0.982079            -0.697091   \n",
       "out_of_school              -0.982079       1.000000             0.718345   \n",
       "pupil_teacher_ratio        -0.697091       0.718345             1.000000   \n",
       "gross_intake                0.198245      -0.190400             0.321789   \n",
       "GPI                         0.426263      -0.436499            -0.569198   \n",
       "unemployment                0.155605      -0.155109            -0.204960   \n",
       "population                 -0.035060       0.034550             0.090060   \n",
       "proportion_women            0.203263      -0.207221            -0.127981   \n",
       "GDP_growth                 -0.251176       0.267788             0.137061   \n",
       "\n",
       "                     gross_intake       GPI  unemployment  population  \\\n",
       "electricity             -0.357488  0.531558      0.161777   -0.027474   \n",
       "agricultural             0.031228 -0.128189      0.172609   -0.018581   \n",
       "secondary_pupils         0.027750  0.138958     -0.179322    0.997718   \n",
       "GDP_p_c                 -0.161076  0.259309     -0.063915   -0.119106   \n",
       "rural_population         0.342593 -0.379680     -0.043463    0.162062   \n",
       "population_density       0.011943  0.132247     -0.107783   -0.091984   \n",
       "life_expectancy         -0.321068  0.534794      0.069815   -0.065698   \n",
       "enrollment_rate          0.198245  0.426263      0.155605   -0.035060   \n",
       "out_of_school           -0.190400 -0.436499     -0.155109    0.034550   \n",
       "pupil_teacher_ratio      0.321789 -0.569198     -0.204960    0.090060   \n",
       "gross_intake             1.000000 -0.102763     -0.208786    0.042933   \n",
       "GPI                     -0.102763  1.000000      0.110219    0.122915   \n",
       "unemployment            -0.208786  0.110219      1.000000   -0.184739   \n",
       "population               0.042933  0.122915     -0.184739    1.000000   \n",
       "proportion_women         0.128666  0.113133     -0.030089   -0.009692   \n",
       "GDP_growth              -0.213487 -0.132913     -0.160793    0.071181   \n",
       "\n",
       "                     proportion_women  GDP_growth  \n",
       "electricity                  0.121554   -0.004903  \n",
       "agricultural                 0.126185    0.055617  \n",
       "secondary_pupils            -0.008159    0.068565  \n",
       "GDP_p_c                      0.235060   -0.016753  \n",
       "rural_population            -0.193973    0.055336  \n",
       "population_density          -0.160294    0.150510  \n",
       "life_expectancy              0.222935    0.018816  \n",
       "enrollment_rate              0.203263   -0.251176  \n",
       "out_of_school               -0.207221    0.267788  \n",
       "pupil_teacher_ratio         -0.127981    0.137061  \n",
       "gross_intake                 0.128666   -0.213487  \n",
       "GPI                          0.113133   -0.132913  \n",
       "unemployment                -0.030089   -0.160793  \n",
       "population                  -0.009692    0.071181  \n",
       "proportion_women             1.000000    0.063989  \n",
       "GDP_growth                   0.063989    1.000000  "
      ]
     },
<<<<<<< HEAD
     "execution_count": 32,
=======
     "execution_count": 97,
>>>>>>> refs/remotes/origin/master
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corOfData=data.corr()\n",
    "corOfData"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 33,
=======
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 98,
>>>>>>> refs/remotes/origin/master
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "agricultural  -  electricity  :  -0.21301454049897392\n",
      "secondary_pupils  -  electricity  :  0.0017544950112002564\n",
      "secondary_pupils  -  agricultural  :  -0.01963115355162017\n",
      "GDP_p_c  -  electricity  :  0.4076201576239315\n",
      "GDP_p_c  -  agricultural  :  -0.24636094921325502\n",
      "GDP_p_c  -  secondary_pupils  :  -0.1134566051302603\n",
      "rural_population  -  electricity  :  -0.6799182207921518\n",
      "rural_population  -  agricultural  :  0.18166736688292978\n",
      "rural_population  -  secondary_pupils  :  0.14363075473582632\n",
      "rural_population  -  GDP_p_c  :  -0.6327583066042809\n",
      "population_density  -  electricity  :  0.14936346574890122\n",
      "population_density  -  agricultural  :  -0.082889152277676\n",
      "population_density  -  secondary_pupils  :  -0.08918910257888837\n",
      "population_density  -  GDP_p_c  :  0.12771876836389698\n",
      "population_density  -  rural_population  :  -0.21613123732280812\n",
      "life_expectancy  -  electricity  :  0.868188718615407\n",
      "life_expectancy  -  agricultural  :  -0.292264372781578\n",
      "life_expectancy  -  secondary_pupils  :  -0.04558504279256552\n",
      "life_expectancy  -  GDP_p_c  :  0.6319661447039585\n",
      "life_expectancy  -  rural_population  :  -0.767453046033457\n",
      "life_expectancy  -  population_density  :  0.19332757367540915\n",
      "enrollment_rate  -  electricity  :  0.6932421595178561\n",
      "enrollment_rate  -  agricultural  :  -0.1558802028006825\n",
      "enrollment_rate  -  secondary_pupils  :  -0.01132049513003063\n",
      "enrollment_rate  -  GDP_p_c  :  0.3832166070017788\n",
      "enrollment_rate  -  rural_population  :  -0.5325709256586191\n",
      "enrollment_rate  -  population_density  :  0.14317022736378457\n",
      "enrollment_rate  -  life_expectancy  :  0.6412362252821642\n",
      "out_of_school  -  electricity  :  -0.7219944886767442\n",
      "out_of_school  -  agricultural  :  0.1515983434847707\n",
      "out_of_school  -  secondary_pupils  :  0.011661686415926983\n",
      "out_of_school  -  GDP_p_c  :  -0.39875052446364134\n",
      "out_of_school  -  rural_population  :  0.5240373252662595\n",
      "out_of_school  -  population_density  :  -0.15146606263275703\n",
      "out_of_school  -  life_expectancy  :  -0.6662917369586931\n",
      "out_of_school  -  enrollment_rate  :  -0.982078894372722\n",
      "pupil_teacher_ratio  -  electricity  :  -0.8597184770408085\n",
      "pupil_teacher_ratio  -  agricultural  :  0.23983558085022216\n",
      "pupil_teacher_ratio  -  secondary_pupils  :  0.06982002829155881\n",
      "pupil_teacher_ratio  -  GDP_p_c  :  -0.5699906915307164\n",
      "pupil_teacher_ratio  -  rural_population  :  0.6839296775722733\n",
      "pupil_teacher_ratio  -  population_density  :  -0.16384857635751682\n",
      "pupil_teacher_ratio  -  life_expectancy  :  -0.8601903647412041\n",
      "pupil_teacher_ratio  -  enrollment_rate  :  -0.6970905642796431\n",
      "pupil_teacher_ratio  -  out_of_school  :  0.7183453231102396\n",
      "gross_intake  -  electricity  :  -0.3574875750570967\n",
      "gross_intake  -  agricultural  :  0.031228134691474323\n",
      "gross_intake  -  secondary_pupils  :  0.02775017250879473\n",
      "gross_intake  -  GDP_p_c  :  -0.16107590266677407\n",
      "gross_intake  -  rural_population  :  0.3425927417987658\n",
      "gross_intake  -  population_density  :  0.011943458193885525\n",
      "gross_intake  -  life_expectancy  :  -0.32106849512248015\n",
      "gross_intake  -  enrollment_rate  :  0.1982446500842952\n",
      "gross_intake  -  out_of_school  :  -0.19040027642198554\n",
      "gross_intake  -  pupil_teacher_ratio  :  0.32178923800380405\n",
      "GPI  -  electricity  :  0.5315579709352829\n",
      "GPI  -  agricultural  :  -0.1281894309541798\n",
      "GPI  -  secondary_pupils  :  0.13895826064589506\n",
      "GPI  -  GDP_p_c  :  0.2593093501681633\n",
      "GPI  -  rural_population  :  -0.37968035624391644\n",
      "GPI  -  population_density  :  0.13224678833482964\n",
      "GPI  -  life_expectancy  :  0.534793964563758\n",
      "GPI  -  enrollment_rate  :  0.42626337649053214\n",
      "GPI  -  out_of_school  :  -0.43649909559701106\n",
      "GPI  -  pupil_teacher_ratio  :  -0.5691984190341085\n",
      "GPI  -  gross_intake  :  -0.10276273572157207\n",
      "unemployment  -  electricity  :  0.16177720113168612\n",
      "unemployment  -  agricultural  :  0.17260931434116372\n",
      "unemployment  -  secondary_pupils  :  -0.17932174397383588\n",
      "unemployment  -  GDP_p_c  :  -0.0639148956591071\n",
      "unemployment  -  rural_population  :  -0.043462764874524475\n",
      "unemployment  -  population_density  :  -0.10778303295076629\n",
      "unemployment  -  life_expectancy  :  0.06981488459291788\n",
      "unemployment  -  enrollment_rate  :  0.15560472990030236\n",
      "unemployment  -  out_of_school  :  -0.15510910747191284\n",
      "unemployment  -  pupil_teacher_ratio  :  -0.20496047429626718\n",
      "unemployment  -  gross_intake  :  -0.20878580175978342\n",
      "unemployment  -  GPI  :  0.11021924078628281\n",
      "population  -  electricity  :  -0.02747444561166313\n",
      "population  -  agricultural  :  -0.01858136014168487\n",
      "population  -  secondary_pupils  :  0.9977183886562853\n",
      "population  -  GDP_p_c  :  -0.11910636191168772\n",
      "population  -  rural_population  :  0.1620615658032924\n",
      "population  -  population_density  :  -0.09198424815596722\n",
      "population  -  life_expectancy  :  -0.06569834912882978\n",
      "population  -  enrollment_rate  :  -0.035060282143908245\n",
      "population  -  out_of_school  :  0.03454986439265976\n",
      "population  -  pupil_teacher_ratio  :  0.09006047934673245\n",
      "population  -  gross_intake  :  0.04293334596406146\n",
      "population  -  GPI  :  0.12291450042615058\n",
      "population  -  unemployment  :  -0.18473877568294808\n",
      "proportion_women  -  electricity  :  0.12155373578139606\n",
      "proportion_women  -  agricultural  :  0.12618468535828004\n",
      "proportion_women  -  secondary_pupils  :  -0.008158777990116611\n",
      "proportion_women  -  GDP_p_c  :  0.23505953655848286\n",
      "proportion_women  -  rural_population  :  -0.19397288890995562\n",
      "proportion_women  -  population_density  :  -0.16029442354432336\n",
      "proportion_women  -  life_expectancy  :  0.2229353802411479\n",
      "proportion_women  -  enrollment_rate  :  0.2032630441579706\n",
      "proportion_women  -  out_of_school  :  -0.20722119686005602\n",
      "proportion_women  -  pupil_teacher_ratio  :  -0.12798098009468645\n",
      "proportion_women  -  gross_intake  :  0.1286655897731624\n",
      "proportion_women  -  GPI  :  0.11313296536496313\n",
      "proportion_women  -  unemployment  :  -0.030089072892789632\n",
      "proportion_women  -  population  :  -0.009691925060750053\n",
      "GDP_growth  -  electricity  :  -0.00490300979130333\n",
      "GDP_growth  -  agricultural  :  0.05561728975811131\n",
      "GDP_growth  -  secondary_pupils  :  0.06856500540903984\n",
      "GDP_growth  -  GDP_p_c  :  -0.016752510032104886\n",
      "GDP_growth  -  rural_population  :  0.05533569244731411\n",
      "GDP_growth  -  population_density  :  0.1505097243065189\n",
      "GDP_growth  -  life_expectancy  :  0.01881566759242854\n",
      "GDP_growth  -  enrollment_rate  :  -0.2511763918845157\n",
      "GDP_growth  -  out_of_school  :  0.26778756277950966\n",
      "GDP_growth  -  pupil_teacher_ratio  :  0.1370608668906204\n",
      "GDP_growth  -  gross_intake  :  -0.21348733116267815\n",
      "GDP_growth  -  GPI  :  -0.13291297402226732\n",
      "GDP_growth  -  unemployment  :  -0.16079299621958937\n",
      "GDP_growth  -  population  :  0.07118071910203372\n",
      "GDP_growth  -  proportion_women  :  0.06398884427223625\n"
     ]
    }
   ],
   "source": [
    "for i, row in enumerate(corOfData.values):\n",
    "    for j, column in enumerate(row):\n",
    "        if i>j and (corOfData.values[i][j]>0.0 or corOfData.values[i][j]<-0.0) and (corOfData.index[i] != corOfData.index[j]) :\n",
    "            print(corOfData.index[i],\" - \",corOfData.index[j],\" : \", corOfData.values[i][j])    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity</th>\n",
       "      <th>agricultural</th>\n",
       "      <th>secondary_pupils</th>\n",
       "      <th>GDP_p_c</th>\n",
       "      <th>rural_population</th>\n",
       "      <th>population_density</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>enrollment_rate</th>\n",
       "      <th>out_of_school</th>\n",
       "      <th>pupil_teacher_ratio</th>\n",
       "      <th>gross_intake</th>\n",
       "      <th>GPI</th>\n",
       "      <th>unemployment</th>\n",
       "      <th>population</th>\n",
       "      <th>proportion_women</th>\n",
       "      <th>GDP_growth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>ALB</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.857666</td>\n",
       "      <td>1.093757</td>\n",
       "      <td>3952.830781</td>\n",
       "      <td>42.566000</td>\n",
       "      <td>105.135146</td>\n",
       "      <td>78.025000</td>\n",
       "      <td>97.79873</td>\n",
       "      <td>2.20127</td>\n",
       "      <td>18.61557</td>\n",
       "      <td>111.00670</td>\n",
       "      <td>1.03130</td>\n",
       "      <td>17.080000</td>\n",
       "      <td>2.880703e+06</td>\n",
       "      <td>20.700000</td>\n",
       "      <td>2.230000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>AUT</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>32.941726</td>\n",
       "      <td>0.799601</td>\n",
       "      <td>44176.671743</td>\n",
       "      <td>42.285000</td>\n",
       "      <td>104.730793</td>\n",
       "      <td>81.190244</td>\n",
       "      <td>88.62591</td>\n",
       "      <td>0.47045</td>\n",
       "      <td>10.58415</td>\n",
       "      <td>98.79947</td>\n",
       "      <td>0.99097</td>\n",
       "      <td>5.723000</td>\n",
       "      <td>8.642699e+06</td>\n",
       "      <td>30.600000</td>\n",
       "      <td>1.142980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BHS</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>1.398601</td>\n",
       "      <td>0.688551</td>\n",
       "      <td>31512.856555</td>\n",
       "      <td>17.254000</td>\n",
       "      <td>37.383217</td>\n",
       "      <td>73.088000</td>\n",
       "      <td>79.96521</td>\n",
       "      <td>18.40080</td>\n",
       "      <td>21.04116</td>\n",
       "      <td>87.15463</td>\n",
       "      <td>0.97338</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3.742060e+05</td>\n",
       "      <td>13.200000</td>\n",
       "      <td>1.044960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BHR</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>11.053985</td>\n",
       "      <td>0.673936</td>\n",
       "      <td>22688.944400</td>\n",
       "      <td>11.001000</td>\n",
       "      <td>1763.304558</td>\n",
       "      <td>76.762000</td>\n",
       "      <td>98.02753</td>\n",
       "      <td>1.31748</td>\n",
       "      <td>11.73164</td>\n",
       "      <td>101.52670</td>\n",
       "      <td>1.00991</td>\n",
       "      <td>1.076000</td>\n",
       "      <td>1.371851e+06</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>2.861968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BLR</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.242016</td>\n",
       "      <td>0.678798</td>\n",
       "      <td>5949.106307</td>\n",
       "      <td>22.819000</td>\n",
       "      <td>46.751942</td>\n",
       "      <td>73.624390</td>\n",
       "      <td>94.25545</td>\n",
       "      <td>1.50754</td>\n",
       "      <td>17.57007</td>\n",
       "      <td>102.54340</td>\n",
       "      <td>1.00156</td>\n",
       "      <td>5.913000</td>\n",
       "      <td>9.489616e+06</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>-3.829571</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>SSF</td>\n",
       "      <td>39.399695</td>\n",
       "      <td>43.679445</td>\n",
       "      <td>0.591687</td>\n",
       "      <td>1669.443418</td>\n",
       "      <td>61.408927</td>\n",
       "      <td>46.861951</td>\n",
       "      <td>59.952831</td>\n",
       "      <td>77.56615</td>\n",
       "      <td>20.04884</td>\n",
       "      <td>37.50596</td>\n",
       "      <td>114.13590</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.954585e+08</td>\n",
       "      <td>23.640948</td>\n",
       "      <td>2.815844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>SSA</td>\n",
       "      <td>39.394007</td>\n",
       "      <td>43.680318</td>\n",
       "      <td>0.591743</td>\n",
       "      <td>1668.215982</td>\n",
       "      <td>61.410505</td>\n",
       "      <td>46.858568</td>\n",
       "      <td>59.951484</td>\n",
       "      <td>77.56523</td>\n",
       "      <td>20.04984</td>\n",
       "      <td>37.50958</td>\n",
       "      <td>114.13660</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.953651e+08</td>\n",
       "      <td>23.566474</td>\n",
       "      <td>2.814316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>TSS</td>\n",
       "      <td>39.399695</td>\n",
       "      <td>43.679445</td>\n",
       "      <td>0.591687</td>\n",
       "      <td>1669.443418</td>\n",
       "      <td>61.408927</td>\n",
       "      <td>46.861951</td>\n",
       "      <td>59.952831</td>\n",
       "      <td>77.56615</td>\n",
       "      <td>20.04884</td>\n",
       "      <td>37.50596</td>\n",
       "      <td>114.13590</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.954585e+08</td>\n",
       "      <td>23.640948</td>\n",
       "      <td>2.815844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>UMC</td>\n",
       "      <td>99.191467</td>\n",
       "      <td>35.403619</td>\n",
       "      <td>0.785293</td>\n",
       "      <td>8032.489459</td>\n",
       "      <td>36.213422</td>\n",
       "      <td>44.469925</td>\n",
       "      <td>75.017527</td>\n",
       "      <td>96.38323</td>\n",
       "      <td>2.99216</td>\n",
       "      <td>18.32687</td>\n",
       "      <td>98.66924</td>\n",
       "      <td>0.99007</td>\n",
       "      <td>5.802802</td>\n",
       "      <td>2.597758e+09</td>\n",
       "      <td>22.366320</td>\n",
       "      <td>3.411958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>WLD</td>\n",
       "      <td>86.778707</td>\n",
       "      <td>37.421819</td>\n",
       "      <td>0.794219</td>\n",
       "      <td>10217.656013</td>\n",
       "      <td>46.086627</td>\n",
       "      <td>57.643265</td>\n",
       "      <td>71.947898</td>\n",
       "      <td>90.30999</td>\n",
       "      <td>8.37648</td>\n",
       "      <td>23.10596</td>\n",
       "      <td>105.48740</td>\n",
       "      <td>0.99946</td>\n",
       "      <td>5.216669</td>\n",
       "      <td>7.340548e+09</td>\n",
       "      <td>22.852166</td>\n",
       "      <td>2.852939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>109 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              electricity  agricultural  secondary_pupils       GDP_p_c  \\\n",
       "Country Code                                                              \n",
       "ALB            100.000000     42.857666          1.093757   3952.830781   \n",
       "AUT            100.000000     32.941726          0.799601  44176.671743   \n",
       "BHS            100.000000      1.398601          0.688551  31512.856555   \n",
       "BHR            100.000000     11.053985          0.673936  22688.944400   \n",
       "BLR            100.000000     42.242016          0.678798   5949.106307   \n",
       "...                   ...           ...               ...           ...   \n",
       "SSF             39.399695     43.679445          0.591687   1669.443418   \n",
       "SSA             39.394007     43.680318          0.591743   1668.215982   \n",
       "TSS             39.399695     43.679445          0.591687   1669.443418   \n",
       "UMC             99.191467     35.403619          0.785293   8032.489459   \n",
       "WLD             86.778707     37.421819          0.794219  10217.656013   \n",
       "\n",
       "              rural_population  population_density  life_expectancy  \\\n",
       "Country Code                                                          \n",
       "ALB                  42.566000          105.135146        78.025000   \n",
       "AUT                  42.285000          104.730793        81.190244   \n",
       "BHS                  17.254000           37.383217        73.088000   \n",
       "BHR                  11.001000         1763.304558        76.762000   \n",
       "BLR                  22.819000           46.751942        73.624390   \n",
       "...                        ...                 ...              ...   \n",
       "SSF                  61.408927           46.861951        59.952831   \n",
       "SSA                  61.410505           46.858568        59.951484   \n",
       "TSS                  61.408927           46.861951        59.952831   \n",
       "UMC                  36.213422           44.469925        75.017527   \n",
       "WLD                  46.086627           57.643265        71.947898   \n",
       "\n",
       "              enrollment_rate  out_of_school  pupil_teacher_ratio  \\\n",
       "Country Code                                                        \n",
       "ALB                  97.79873        2.20127             18.61557   \n",
       "AUT                  88.62591        0.47045             10.58415   \n",
       "BHS                  79.96521       18.40080             21.04116   \n",
       "BHR                  98.02753        1.31748             11.73164   \n",
       "BLR                  94.25545        1.50754             17.57007   \n",
       "...                       ...            ...                  ...   \n",
       "SSF                  77.56615       20.04884             37.50596   \n",
       "SSA                  77.56523       20.04984             37.50958   \n",
       "TSS                  77.56615       20.04884             37.50596   \n",
       "UMC                  96.38323        2.99216             18.32687   \n",
       "WLD                  90.30999        8.37648             23.10596   \n",
       "\n",
       "              gross_intake      GPI  unemployment    population  \\\n",
       "Country Code                                                      \n",
       "ALB              111.00670  1.03130     17.080000  2.880703e+06   \n",
       "AUT               98.79947  0.99097      5.723000  8.642699e+06   \n",
       "BHS               87.15463  0.97338     12.000000  3.742060e+05   \n",
       "BHR              101.52670  1.00991      1.076000  1.371851e+06   \n",
       "BLR              102.54340  1.00156      5.913000  9.489616e+06   \n",
       "...                    ...      ...           ...           ...   \n",
       "SSF              114.13590  0.95645      6.076070  9.954585e+08   \n",
       "SSA              114.13660  0.95645      6.076070  9.953651e+08   \n",
       "TSS              114.13590  0.95645      6.076070  9.954585e+08   \n",
       "UMC               98.66924  0.99007      5.802802  2.597758e+09   \n",
       "WLD              105.48740  0.99946      5.216669  7.340548e+09   \n",
       "\n",
       "              proportion_women  GDP_growth  \n",
       "Country Code                                \n",
       "ALB                  20.700000    2.230000  \n",
       "AUT                  30.600000    1.142980  \n",
       "BHS                  13.200000    1.044960  \n",
       "BHR                   7.500000    2.861968  \n",
       "BLR                  27.300000   -3.829571  \n",
       "...                        ...         ...  \n",
       "SSF                  23.640948    2.815844  \n",
       "SSA                  23.566474    2.814316  \n",
       "TSS                  23.640948    2.815844  \n",
       "UMC                  22.366320    3.411958  \n",
       "WLD                  22.852166    2.852939  \n",
       "\n",
       "[109 rows x 16 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"secondary_pupils\"]=data[\"secondary_pupils\"]/data[\"population\"]*10\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "electricity            1.000000e+02\n",
       "agricultural           8.255971e+01\n",
       "secondary_pupils       1.400749e+00\n",
       "GDP_p_c                1.004284e+05\n",
       "rural_population       8.375300e+01\n",
       "population_density     1.763305e+03\n",
       "life_expectancy        8.283171e+01\n",
       "enrollment_rate        9.992276e+01\n",
       "out_of_school          3.929094e+01\n",
       "pupil_teacher_ratio    5.554179e+01\n",
       "gross_intake           1.607650e+02\n",
       "GPI                    1.119540e+00\n",
       "unemployment           2.606800e+01\n",
       "population             7.340548e+09\n",
       "proportion_women       5.310000e+01\n",
       "GDP_growth             1.066106e+01\n",
       "dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"GDP_p_c\"]\n",
    "max(data[\"GDP_p_c\"])\n",
    "data.max() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>electricity</th>\n",
       "      <th>agricultural</th>\n",
       "      <th>secondary_pupils</th>\n",
       "      <th>GDP_p_c</th>\n",
       "      <th>rural_population</th>\n",
       "      <th>population_density</th>\n",
       "      <th>life_expectancy</th>\n",
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       "      <th>GPI</th>\n",
       "      <th>unemployment</th>\n",
       "      <th>population</th>\n",
       "      <th>proportion_women</th>\n",
       "      <th>GDP_growth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>LUX</td>\n",
       "      <td>100.0</td>\n",
       "      <td>54.020578</td>\n",
       "      <td>0.825609</td>\n",
       "      <td>100428.367963</td>\n",
       "      <td>9.821</td>\n",
       "      <td>234.404938</td>\n",
       "      <td>82.292683</td>\n",
       "      <td>97.99135</td>\n",
       "      <td>1.05806</td>\n",
       "      <td>8.45773</td>\n",
       "      <td>101.3613</td>\n",
       "      <td>0.99895</td>\n",
       "      <td>6.669</td>\n",
       "      <td>569604.0</td>\n",
       "      <td>28.3</td>\n",
       "      <td>3.915963</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              electricity  agricultural  secondary_pupils        GDP_p_c  \\\n",
       "Country Code                                                               \n",
       "LUX                 100.0     54.020578          0.825609  100428.367963   \n",
       "\n",
       "              rural_population  population_density  life_expectancy  \\\n",
       "Country Code                                                          \n",
       "LUX                      9.821          234.404938        82.292683   \n",
       "\n",
       "              enrollment_rate  out_of_school  pupil_teacher_ratio  \\\n",
       "Country Code                                                        \n",
       "LUX                  97.99135        1.05806              8.45773   \n",
       "\n",
       "              gross_intake      GPI  unemployment  population  \\\n",
       "Country Code                                                    \n",
       "LUX               101.3613  0.99895         6.669    569604.0   \n",
       "\n",
       "              proportion_women  GDP_growth  \n",
       "Country Code                                \n",
       "LUX                       28.3    3.915963  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['GDP_p_c'].max()\n",
    "data[data['GDP_p_c']==data['GDP_p_c'].max()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"GDP_p_c\"]=data[\"GDP_p_c\"]/data['GDP_p_c'].max()*100\n",
    "data[\"population_density\"]=data[\"population_density\"]/data['population_density'].max()*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>electricity</th>\n",
       "      <th>agricultural</th>\n",
       "      <th>secondary_pupils</th>\n",
       "      <th>GDP_p_c</th>\n",
       "      <th>rural_population</th>\n",
       "      <th>population_density</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>enrollment_rate</th>\n",
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       "      <th>unemployment</th>\n",
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       "      <th>proportion_women</th>\n",
       "      <th>GDP_growth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <td>ALB</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.857666</td>\n",
       "      <td>1.093757</td>\n",
       "      <td>3.935970</td>\n",
       "      <td>42.566000</td>\n",
       "      <td>5.962393</td>\n",
       "      <td>78.025000</td>\n",
       "      <td>97.79873</td>\n",
       "      <td>2.20127</td>\n",
       "      <td>18.61557</td>\n",
       "      <td>111.00670</td>\n",
       "      <td>1.03130</td>\n",
       "      <td>17.080000</td>\n",
       "      <td>2.880703e+06</td>\n",
       "      <td>20.700000</td>\n",
       "      <td>2.230000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>AUT</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>32.941726</td>\n",
       "      <td>0.799601</td>\n",
       "      <td>43.988240</td>\n",
       "      <td>42.285000</td>\n",
       "      <td>5.939461</td>\n",
       "      <td>81.190244</td>\n",
       "      <td>88.62591</td>\n",
       "      <td>0.47045</td>\n",
       "      <td>10.58415</td>\n",
       "      <td>98.79947</td>\n",
       "      <td>0.99097</td>\n",
       "      <td>5.723000</td>\n",
       "      <td>8.642699e+06</td>\n",
       "      <td>30.600000</td>\n",
       "      <td>1.142980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BHS</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>1.398601</td>\n",
       "      <td>0.688551</td>\n",
       "      <td>31.378441</td>\n",
       "      <td>17.254000</td>\n",
       "      <td>2.120066</td>\n",
       "      <td>73.088000</td>\n",
       "      <td>79.96521</td>\n",
       "      <td>18.40080</td>\n",
       "      <td>21.04116</td>\n",
       "      <td>87.15463</td>\n",
       "      <td>0.97338</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3.742060e+05</td>\n",
       "      <td>13.200000</td>\n",
       "      <td>1.044960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BHR</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>11.053985</td>\n",
       "      <td>0.673936</td>\n",
       "      <td>22.592167</td>\n",
       "      <td>11.001000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>76.762000</td>\n",
       "      <td>98.02753</td>\n",
       "      <td>1.31748</td>\n",
       "      <td>11.73164</td>\n",
       "      <td>101.52670</td>\n",
       "      <td>1.00991</td>\n",
       "      <td>1.076000</td>\n",
       "      <td>1.371851e+06</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>2.861968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BLR</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>42.242016</td>\n",
       "      <td>0.678798</td>\n",
       "      <td>5.923731</td>\n",
       "      <td>22.819000</td>\n",
       "      <td>2.651382</td>\n",
       "      <td>73.624390</td>\n",
       "      <td>94.25545</td>\n",
       "      <td>1.50754</td>\n",
       "      <td>17.57007</td>\n",
       "      <td>102.54340</td>\n",
       "      <td>1.00156</td>\n",
       "      <td>5.913000</td>\n",
       "      <td>9.489616e+06</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>-3.829571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>SSF</td>\n",
       "      <td>39.399695</td>\n",
       "      <td>43.679445</td>\n",
       "      <td>0.591687</td>\n",
       "      <td>1.662323</td>\n",
       "      <td>61.408927</td>\n",
       "      <td>2.657621</td>\n",
       "      <td>59.952831</td>\n",
       "      <td>77.56615</td>\n",
       "      <td>20.04884</td>\n",
       "      <td>37.50596</td>\n",
       "      <td>114.13590</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.954585e+08</td>\n",
       "      <td>23.640948</td>\n",
       "      <td>2.815844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>SSA</td>\n",
       "      <td>39.394007</td>\n",
       "      <td>43.680318</td>\n",
       "      <td>0.591743</td>\n",
       "      <td>1.661100</td>\n",
       "      <td>61.410505</td>\n",
       "      <td>2.657429</td>\n",
       "      <td>59.951484</td>\n",
       "      <td>77.56523</td>\n",
       "      <td>20.04984</td>\n",
       "      <td>37.50958</td>\n",
       "      <td>114.13660</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.953651e+08</td>\n",
       "      <td>23.566474</td>\n",
       "      <td>2.814316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>TSS</td>\n",
       "      <td>39.399695</td>\n",
       "      <td>43.679445</td>\n",
       "      <td>0.591687</td>\n",
       "      <td>1.662323</td>\n",
       "      <td>61.408927</td>\n",
       "      <td>2.657621</td>\n",
       "      <td>59.952831</td>\n",
       "      <td>77.56615</td>\n",
       "      <td>20.04884</td>\n",
       "      <td>37.50596</td>\n",
       "      <td>114.13590</td>\n",
       "      <td>0.95645</td>\n",
       "      <td>6.076070</td>\n",
       "      <td>9.954585e+08</td>\n",
       "      <td>23.640948</td>\n",
       "      <td>2.815844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>UMC</td>\n",
       "      <td>99.191467</td>\n",
       "      <td>35.403619</td>\n",
       "      <td>0.785293</td>\n",
       "      <td>7.998228</td>\n",
       "      <td>36.213422</td>\n",
       "      <td>2.521965</td>\n",
       "      <td>75.017527</td>\n",
       "      <td>96.38323</td>\n",
       "      <td>2.99216</td>\n",
       "      <td>18.32687</td>\n",
       "      <td>98.66924</td>\n",
       "      <td>0.99007</td>\n",
       "      <td>5.802802</td>\n",
       "      <td>2.597758e+09</td>\n",
       "      <td>22.366320</td>\n",
       "      <td>3.411958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>WLD</td>\n",
       "      <td>86.778707</td>\n",
       "      <td>37.421819</td>\n",
       "      <td>0.794219</td>\n",
       "      <td>10.174074</td>\n",
       "      <td>46.086627</td>\n",
       "      <td>3.269048</td>\n",
       "      <td>71.947898</td>\n",
       "      <td>90.30999</td>\n",
       "      <td>8.37648</td>\n",
       "      <td>23.10596</td>\n",
       "      <td>105.48740</td>\n",
       "      <td>0.99946</td>\n",
       "      <td>5.216669</td>\n",
       "      <td>7.340548e+09</td>\n",
       "      <td>22.852166</td>\n",
       "      <td>2.852939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>109 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              electricity  agricultural  secondary_pupils    GDP_p_c  \\\n",
       "Country Code                                                           \n",
       "ALB            100.000000     42.857666          1.093757   3.935970   \n",
       "AUT            100.000000     32.941726          0.799601  43.988240   \n",
       "BHS            100.000000      1.398601          0.688551  31.378441   \n",
       "BHR            100.000000     11.053985          0.673936  22.592167   \n",
       "BLR            100.000000     42.242016          0.678798   5.923731   \n",
       "...                   ...           ...               ...        ...   \n",
       "SSF             39.399695     43.679445          0.591687   1.662323   \n",
       "SSA             39.394007     43.680318          0.591743   1.661100   \n",
       "TSS             39.399695     43.679445          0.591687   1.662323   \n",
       "UMC             99.191467     35.403619          0.785293   7.998228   \n",
       "WLD             86.778707     37.421819          0.794219  10.174074   \n",
       "\n",
       "              rural_population  population_density  life_expectancy  \\\n",
       "Country Code                                                          \n",
       "ALB                  42.566000            5.962393        78.025000   \n",
       "AUT                  42.285000            5.939461        81.190244   \n",
       "BHS                  17.254000            2.120066        73.088000   \n",
       "BHR                  11.001000          100.000000        76.762000   \n",
       "BLR                  22.819000            2.651382        73.624390   \n",
       "...                        ...                 ...              ...   \n",
       "SSF                  61.408927            2.657621        59.952831   \n",
       "SSA                  61.410505            2.657429        59.951484   \n",
       "TSS                  61.408927            2.657621        59.952831   \n",
       "UMC                  36.213422            2.521965        75.017527   \n",
       "WLD                  46.086627            3.269048        71.947898   \n",
       "\n",
       "              enrollment_rate  out_of_school  pupil_teacher_ratio  \\\n",
       "Country Code                                                        \n",
       "ALB                  97.79873        2.20127             18.61557   \n",
       "AUT                  88.62591        0.47045             10.58415   \n",
       "BHS                  79.96521       18.40080             21.04116   \n",
       "BHR                  98.02753        1.31748             11.73164   \n",
       "BLR                  94.25545        1.50754             17.57007   \n",
       "...                       ...            ...                  ...   \n",
       "SSF                  77.56615       20.04884             37.50596   \n",
       "SSA                  77.56523       20.04984             37.50958   \n",
       "TSS                  77.56615       20.04884             37.50596   \n",
       "UMC                  96.38323        2.99216             18.32687   \n",
       "WLD                  90.30999        8.37648             23.10596   \n",
       "\n",
       "              gross_intake      GPI  unemployment    population  \\\n",
       "Country Code                                                      \n",
       "ALB              111.00670  1.03130     17.080000  2.880703e+06   \n",
       "AUT               98.79947  0.99097      5.723000  8.642699e+06   \n",
       "BHS               87.15463  0.97338     12.000000  3.742060e+05   \n",
       "BHR              101.52670  1.00991      1.076000  1.371851e+06   \n",
       "BLR              102.54340  1.00156      5.913000  9.489616e+06   \n",
       "...                    ...      ...           ...           ...   \n",
       "SSF              114.13590  0.95645      6.076070  9.954585e+08   \n",
       "SSA              114.13660  0.95645      6.076070  9.953651e+08   \n",
       "TSS              114.13590  0.95645      6.076070  9.954585e+08   \n",
       "UMC               98.66924  0.99007      5.802802  2.597758e+09   \n",
       "WLD              105.48740  0.99946      5.216669  7.340548e+09   \n",
       "\n",
       "              proportion_women  GDP_growth  \n",
       "Country Code                                \n",
       "ALB                  20.700000    2.230000  \n",
       "AUT                  30.600000    1.142980  \n",
       "BHS                  13.200000    1.044960  \n",
       "BHR                   7.500000    2.861968  \n",
       "BLR                  27.300000   -3.829571  \n",
       "...                        ...         ...  \n",
       "SSF                  23.640948    2.815844  \n",
       "SSA                  23.566474    2.814316  \n",
       "TSS                  23.640948    2.815844  \n",
       "UMC                  22.366320    3.411958  \n",
       "WLD                  22.852166    2.852939  \n",
       "\n",
       "[109 rows x 16 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>electricity</th>\n",
       "      <th>agricultural</th>\n",
       "      <th>secondary_pupils</th>\n",
       "      <th>GDP_p_c</th>\n",
       "      <th>rural_population</th>\n",
       "      <th>population_density</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>enrollment_rate</th>\n",
       "      <th>out_of_school</th>\n",
       "      <th>pupil_teacher_ratio</th>\n",
       "      <th>gross_intake</th>\n",
       "      <th>GPI</th>\n",
       "      <th>unemployment</th>\n",
       "      <th>population</th>\n",
       "      <th>proportion_women</th>\n",
       "      <th>GDP_growth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>electricity</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.213015</td>\n",
       "      <td>0.552677</td>\n",
       "      <td>0.407620</td>\n",
       "      <td>-0.679918</td>\n",
       "      <td>0.149363</td>\n",
       "      <td>0.868189</td>\n",
       "      <td>0.693242</td>\n",
       "      <td>-0.721994</td>\n",
       "      <td>-0.859718</td>\n",
       "      <td>-0.357488</td>\n",
       "      <td>0.531558</td>\n",
       "      <td>0.161777</td>\n",
       "      <td>-0.027474</td>\n",
       "      <td>0.121554</td>\n",
       "      <td>-0.004903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>agricultural</td>\n",
       "      <td>-0.213015</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.035737</td>\n",
       "      <td>-0.246361</td>\n",
       "      <td>0.181667</td>\n",
       "      <td>-0.082889</td>\n",
       "      <td>-0.292264</td>\n",
       "      <td>-0.155880</td>\n",
       "      <td>0.151598</td>\n",
       "      <td>0.239836</td>\n",
       "      <td>0.031228</td>\n",
       "      <td>-0.128189</td>\n",
       "      <td>0.172609</td>\n",
       "      <td>-0.018581</td>\n",
       "      <td>0.126185</td>\n",
       "      <td>0.055617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>secondary_pupils</td>\n",
       "      <td>0.552677</td>\n",
       "      <td>0.035737</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.051872</td>\n",
       "      <td>-0.311516</td>\n",
       "      <td>-0.030995</td>\n",
       "      <td>0.374933</td>\n",
       "      <td>0.499970</td>\n",
       "      <td>-0.494508</td>\n",
       "      <td>-0.389499</td>\n",
       "      <td>-0.072797</td>\n",
       "      <td>0.310738</td>\n",
       "      <td>0.104049</td>\n",
       "      <td>-0.023653</td>\n",
       "      <td>0.229195</td>\n",
       "      <td>0.025887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GDP_p_c</td>\n",
       "      <td>0.407620</td>\n",
       "      <td>-0.246361</td>\n",
       "      <td>0.051872</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.632758</td>\n",
       "      <td>0.127719</td>\n",
       "      <td>0.631966</td>\n",
       "      <td>0.383217</td>\n",
       "      <td>-0.398751</td>\n",
       "      <td>-0.569991</td>\n",
       "      <td>-0.161076</td>\n",
       "      <td>0.259309</td>\n",
       "      <td>-0.063915</td>\n",
       "      <td>-0.119106</td>\n",
       "      <td>0.235060</td>\n",
       "      <td>-0.016753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>rural_population</td>\n",
       "      <td>-0.679918</td>\n",
       "      <td>0.181667</td>\n",
       "      <td>-0.311516</td>\n",
       "      <td>-0.632758</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.216131</td>\n",
       "      <td>-0.767453</td>\n",
       "      <td>-0.532571</td>\n",
       "      <td>0.524037</td>\n",
       "      <td>0.683930</td>\n",
       "      <td>0.342593</td>\n",
       "      <td>-0.379680</td>\n",
       "      <td>-0.043463</td>\n",
       "      <td>0.162062</td>\n",
       "      <td>-0.193973</td>\n",
       "      <td>0.055336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>population_density</td>\n",
       "      <td>0.149363</td>\n",
       "      <td>-0.082889</td>\n",
       "      <td>-0.030995</td>\n",
       "      <td>0.127719</td>\n",
       "      <td>-0.216131</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.193328</td>\n",
       "      <td>0.143170</td>\n",
       "      <td>-0.151466</td>\n",
       "      <td>-0.163849</td>\n",
       "      <td>0.011943</td>\n",
       "      <td>0.132247</td>\n",
       "      <td>-0.107783</td>\n",
       "      <td>-0.091984</td>\n",
       "      <td>-0.160294</td>\n",
       "      <td>0.150510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>life_expectancy</td>\n",
       "      <td>0.868189</td>\n",
       "      <td>-0.292264</td>\n",
       "      <td>0.374933</td>\n",
       "      <td>0.631966</td>\n",
       "      <td>-0.767453</td>\n",
       "      <td>0.193328</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.641236</td>\n",
       "      <td>-0.666292</td>\n",
       "      <td>-0.860190</td>\n",
       "      <td>-0.321068</td>\n",
       "      <td>0.534794</td>\n",
       "      <td>0.069815</td>\n",
       "      <td>-0.065698</td>\n",
       "      <td>0.222935</td>\n",
       "      <td>0.018816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>enrollment_rate</td>\n",
       "      <td>0.693242</td>\n",
       "      <td>-0.155880</td>\n",
       "      <td>0.499970</td>\n",
       "      <td>0.383217</td>\n",
       "      <td>-0.532571</td>\n",
       "      <td>0.143170</td>\n",
       "      <td>0.641236</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.982079</td>\n",
       "      <td>-0.697091</td>\n",
       "      <td>0.198245</td>\n",
       "      <td>0.426263</td>\n",
       "      <td>0.155605</td>\n",
       "      <td>-0.035060</td>\n",
       "      <td>0.203263</td>\n",
       "      <td>-0.251176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>out_of_school</td>\n",
       "      <td>-0.721994</td>\n",
       "      <td>0.151598</td>\n",
       "      <td>-0.494508</td>\n",
       "      <td>-0.398751</td>\n",
       "      <td>0.524037</td>\n",
       "      <td>-0.151466</td>\n",
       "      <td>-0.666292</td>\n",
       "      <td>-0.982079</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.718345</td>\n",
       "      <td>-0.190400</td>\n",
       "      <td>-0.436499</td>\n",
       "      <td>-0.155109</td>\n",
       "      <td>0.034550</td>\n",
       "      <td>-0.207221</td>\n",
       "      <td>0.267788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>pupil_teacher_ratio</td>\n",
       "      <td>-0.859718</td>\n",
       "      <td>0.239836</td>\n",
       "      <td>-0.389499</td>\n",
       "      <td>-0.569991</td>\n",
       "      <td>0.683930</td>\n",
       "      <td>-0.163849</td>\n",
       "      <td>-0.860190</td>\n",
       "      <td>-0.697091</td>\n",
       "      <td>0.718345</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.321789</td>\n",
       "      <td>-0.569198</td>\n",
       "      <td>-0.204960</td>\n",
       "      <td>0.090060</td>\n",
       "      <td>-0.127981</td>\n",
       "      <td>0.137061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>gross_intake</td>\n",
       "      <td>-0.357488</td>\n",
       "      <td>0.031228</td>\n",
       "      <td>-0.072797</td>\n",
       "      <td>-0.161076</td>\n",
       "      <td>0.342593</td>\n",
       "      <td>0.011943</td>\n",
       "      <td>-0.321068</td>\n",
       "      <td>0.198245</td>\n",
       "      <td>-0.190400</td>\n",
       "      <td>0.321789</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.102763</td>\n",
       "      <td>-0.208786</td>\n",
       "      <td>0.042933</td>\n",
       "      <td>0.128666</td>\n",
       "      <td>-0.213487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GPI</td>\n",
       "      <td>0.531558</td>\n",
       "      <td>-0.128189</td>\n",
       "      <td>0.310738</td>\n",
       "      <td>0.259309</td>\n",
       "      <td>-0.379680</td>\n",
       "      <td>0.132247</td>\n",
       "      <td>0.534794</td>\n",
       "      <td>0.426263</td>\n",
       "      <td>-0.436499</td>\n",
       "      <td>-0.569198</td>\n",
       "      <td>-0.102763</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.110219</td>\n",
       "      <td>0.122915</td>\n",
       "      <td>0.113133</td>\n",
       "      <td>-0.132913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>unemployment</td>\n",
       "      <td>0.161777</td>\n",
       "      <td>0.172609</td>\n",
       "      <td>0.104049</td>\n",
       "      <td>-0.063915</td>\n",
       "      <td>-0.043463</td>\n",
       "      <td>-0.107783</td>\n",
       "      <td>0.069815</td>\n",
       "      <td>0.155605</td>\n",
       "      <td>-0.155109</td>\n",
       "      <td>-0.204960</td>\n",
       "      <td>-0.208786</td>\n",
       "      <td>0.110219</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.184739</td>\n",
       "      <td>-0.030089</td>\n",
       "      <td>-0.160793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>population</td>\n",
       "      <td>-0.027474</td>\n",
       "      <td>-0.018581</td>\n",
       "      <td>-0.023653</td>\n",
       "      <td>-0.119106</td>\n",
       "      <td>0.162062</td>\n",
       "      <td>-0.091984</td>\n",
       "      <td>-0.065698</td>\n",
       "      <td>-0.035060</td>\n",
       "      <td>0.034550</td>\n",
       "      <td>0.090060</td>\n",
       "      <td>0.042933</td>\n",
       "      <td>0.122915</td>\n",
       "      <td>-0.184739</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.009692</td>\n",
       "      <td>0.071181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>proportion_women</td>\n",
       "      <td>0.121554</td>\n",
       "      <td>0.126185</td>\n",
       "      <td>0.229195</td>\n",
       "      <td>0.235060</td>\n",
       "      <td>-0.193973</td>\n",
       "      <td>-0.160294</td>\n",
       "      <td>0.222935</td>\n",
       "      <td>0.203263</td>\n",
       "      <td>-0.207221</td>\n",
       "      <td>-0.127981</td>\n",
       "      <td>0.128666</td>\n",
       "      <td>0.113133</td>\n",
       "      <td>-0.030089</td>\n",
       "      <td>-0.009692</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.063989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GDP_growth</td>\n",
       "      <td>-0.004903</td>\n",
       "      <td>0.055617</td>\n",
       "      <td>0.025887</td>\n",
       "      <td>-0.016753</td>\n",
       "      <td>0.055336</td>\n",
       "      <td>0.150510</td>\n",
       "      <td>0.018816</td>\n",
       "      <td>-0.251176</td>\n",
       "      <td>0.267788</td>\n",
       "      <td>0.137061</td>\n",
       "      <td>-0.213487</td>\n",
       "      <td>-0.132913</td>\n",
       "      <td>-0.160793</td>\n",
       "      <td>0.071181</td>\n",
       "      <td>0.063989</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     electricity  agricultural  secondary_pupils   GDP_p_c  \\\n",
       "electricity             1.000000     -0.213015          0.552677  0.407620   \n",
       "agricultural           -0.213015      1.000000          0.035737 -0.246361   \n",
       "secondary_pupils        0.552677      0.035737          1.000000  0.051872   \n",
       "GDP_p_c                 0.407620     -0.246361          0.051872  1.000000   \n",
       "rural_population       -0.679918      0.181667         -0.311516 -0.632758   \n",
       "population_density      0.149363     -0.082889         -0.030995  0.127719   \n",
       "life_expectancy         0.868189     -0.292264          0.374933  0.631966   \n",
       "enrollment_rate         0.693242     -0.155880          0.499970  0.383217   \n",
       "out_of_school          -0.721994      0.151598         -0.494508 -0.398751   \n",
       "pupil_teacher_ratio    -0.859718      0.239836         -0.389499 -0.569991   \n",
       "gross_intake           -0.357488      0.031228         -0.072797 -0.161076   \n",
       "GPI                     0.531558     -0.128189          0.310738  0.259309   \n",
       "unemployment            0.161777      0.172609          0.104049 -0.063915   \n",
       "population             -0.027474     -0.018581         -0.023653 -0.119106   \n",
       "proportion_women        0.121554      0.126185          0.229195  0.235060   \n",
       "GDP_growth             -0.004903      0.055617          0.025887 -0.016753   \n",
       "\n",
       "                     rural_population  population_density  life_expectancy  \\\n",
       "electricity                 -0.679918            0.149363         0.868189   \n",
       "agricultural                 0.181667           -0.082889        -0.292264   \n",
       "secondary_pupils            -0.311516           -0.030995         0.374933   \n",
       "GDP_p_c                     -0.632758            0.127719         0.631966   \n",
       "rural_population             1.000000           -0.216131        -0.767453   \n",
       "population_density          -0.216131            1.000000         0.193328   \n",
       "life_expectancy             -0.767453            0.193328         1.000000   \n",
       "enrollment_rate             -0.532571            0.143170         0.641236   \n",
       "out_of_school                0.524037           -0.151466        -0.666292   \n",
       "pupil_teacher_ratio          0.683930           -0.163849        -0.860190   \n",
       "gross_intake                 0.342593            0.011943        -0.321068   \n",
       "GPI                         -0.379680            0.132247         0.534794   \n",
       "unemployment                -0.043463           -0.107783         0.069815   \n",
       "population                   0.162062           -0.091984        -0.065698   \n",
       "proportion_women            -0.193973           -0.160294         0.222935   \n",
       "GDP_growth                   0.055336            0.150510         0.018816   \n",
       "\n",
       "                     enrollment_rate  out_of_school  pupil_teacher_ratio  \\\n",
       "electricity                 0.693242      -0.721994            -0.859718   \n",
       "agricultural               -0.155880       0.151598             0.239836   \n",
       "secondary_pupils            0.499970      -0.494508            -0.389499   \n",
       "GDP_p_c                     0.383217      -0.398751            -0.569991   \n",
       "rural_population           -0.532571       0.524037             0.683930   \n",
       "population_density          0.143170      -0.151466            -0.163849   \n",
       "life_expectancy             0.641236      -0.666292            -0.860190   \n",
       "enrollment_rate             1.000000      -0.982079            -0.697091   \n",
       "out_of_school              -0.982079       1.000000             0.718345   \n",
       "pupil_teacher_ratio        -0.697091       0.718345             1.000000   \n",
       "gross_intake                0.198245      -0.190400             0.321789   \n",
       "GPI                         0.426263      -0.436499            -0.569198   \n",
       "unemployment                0.155605      -0.155109            -0.204960   \n",
       "population                 -0.035060       0.034550             0.090060   \n",
       "proportion_women            0.203263      -0.207221            -0.127981   \n",
       "GDP_growth                 -0.251176       0.267788             0.137061   \n",
       "\n",
       "                     gross_intake       GPI  unemployment  population  \\\n",
       "electricity             -0.357488  0.531558      0.161777   -0.027474   \n",
       "agricultural             0.031228 -0.128189      0.172609   -0.018581   \n",
       "secondary_pupils        -0.072797  0.310738      0.104049   -0.023653   \n",
       "GDP_p_c                 -0.161076  0.259309     -0.063915   -0.119106   \n",
       "rural_population         0.342593 -0.379680     -0.043463    0.162062   \n",
       "population_density       0.011943  0.132247     -0.107783   -0.091984   \n",
       "life_expectancy         -0.321068  0.534794      0.069815   -0.065698   \n",
       "enrollment_rate          0.198245  0.426263      0.155605   -0.035060   \n",
       "out_of_school           -0.190400 -0.436499     -0.155109    0.034550   \n",
       "pupil_teacher_ratio      0.321789 -0.569198     -0.204960    0.090060   \n",
       "gross_intake             1.000000 -0.102763     -0.208786    0.042933   \n",
       "GPI                     -0.102763  1.000000      0.110219    0.122915   \n",
       "unemployment            -0.208786  0.110219      1.000000   -0.184739   \n",
       "population               0.042933  0.122915     -0.184739    1.000000   \n",
       "proportion_women         0.128666  0.113133     -0.030089   -0.009692   \n",
       "GDP_growth              -0.213487 -0.132913     -0.160793    0.071181   \n",
       "\n",
       "                     proportion_women  GDP_growth  \n",
       "electricity                  0.121554   -0.004903  \n",
       "agricultural                 0.126185    0.055617  \n",
       "secondary_pupils             0.229195    0.025887  \n",
       "GDP_p_c                      0.235060   -0.016753  \n",
       "rural_population            -0.193973    0.055336  \n",
       "population_density          -0.160294    0.150510  \n",
       "life_expectancy              0.222935    0.018816  \n",
       "enrollment_rate              0.203263   -0.251176  \n",
       "out_of_school               -0.207221    0.267788  \n",
       "pupil_teacher_ratio         -0.127981    0.137061  \n",
       "gross_intake                 0.128666   -0.213487  \n",
       "GPI                          0.113133   -0.132913  \n",
       "unemployment                -0.030089   -0.160793  \n",
       "population                  -0.009692    0.071181  \n",
       "proportion_women             1.000000    0.063989  \n",
       "GDP_growth                   0.063989    1.000000  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corOfData=data.corr()\n",
    "corOfData"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "from seaborn import clustermap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x7f8b216bbed0>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "clustermap(corOfData,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "\"['out_of_school' 'electricity' 'agricultural' 'life_expectancy'\\n 'secondary_pupils' 'population' 'proportion_women' 'rural_population'\\n 'pupil_teacher_ratio' 'population_density'] not found in axis\"",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-47-051b87037d64>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"out_of_school\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"electricity\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"agricultural\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"life_expectancy\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"secondary_pupils\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"population\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"proportion_women\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"rural_population\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"pupil_teacher_ratio\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"population_density\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[1;32m   4100\u001b[0m             \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4101\u001b[0m             \u001b[0minplace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minplace\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4102\u001b[0;31m             \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   4103\u001b[0m         )\n\u001b[1;32m   4104\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[1;32m   3912\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;32min\u001b[0m \u001b[0maxes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3913\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3914\u001b[0;31m                 \u001b[0mobj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_drop_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3915\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3916\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0minplace\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m_drop_axis\u001b[0;34m(self, labels, axis, level, errors)\u001b[0m\n\u001b[1;32m   3944\u001b[0m                 \u001b[0mnew_axis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3945\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3946\u001b[0;31m                 \u001b[0mnew_axis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3947\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0maxis_name\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnew_axis\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3948\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, errors)\u001b[0m\n\u001b[1;32m   5338\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   5339\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0merrors\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m\"ignore\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 5340\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"{} not found in axis\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   5341\u001b[0m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m~\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   5342\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: \"['out_of_school' 'electricity' 'agricultural' 'life_expectancy'\\n 'secondary_pupils' 'population' 'proportion_women' 'rural_population'\\n 'pupil_teacher_ratio' 'population_density'] not found in axis\""
     ]
    }
   ],
   "source": [
    "data=data.drop(columns=[\"out_of_school\",\"electricity\",\"agricultural\",\"life_expectancy\",\"secondary_pupils\",\"population\",\"proportion_women\",\"rural_population\",\"pupil_teacher_ratio\",\"population_density\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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>GDP_p_c</th>\n",
       "      <th>enrollment_rate</th>\n",
       "      <th>gross_intake</th>\n",
       "      <th>GPI</th>\n",
       "      <th>unemployment</th>\n",
       "      <th>GDP_growth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>MOZ</td>\n",
       "      <td>0.544904</td>\n",
       "      <td>91.51459</td>\n",
       "      <td>160.765</td>\n",
       "      <td>0.90852</td>\n",
       "      <td>3.426</td>\n",
       "      <td>6.593986</td>\n",
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      ],
      "text/plain": [
       "               GDP_p_c  enrollment_rate  gross_intake      GPI  unemployment  \\\n",
       "Country Code                                                                   \n",
       "MOZ           0.544904         91.51459       160.765  0.90852         3.426   \n",
       "\n",
       "              GDP_growth  \n",
       "Country Code              \n",
       "MOZ             6.593986  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['gross_intake']==data['gross_intake'].max()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "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>GDP_p_c</th>\n",
       "      <th>enrollment_rate</th>\n",
       "      <th>gross_intake</th>\n",
       "      <th>GPI</th>\n",
       "      <th>unemployment</th>\n",
       "      <th>GDP_growth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>MLT</td>\n",
       "      <td>23.943708</td>\n",
       "      <td>98.98471</td>\n",
       "      <td>105.8694</td>\n",
       "      <td>1.01476</td>\n",
       "      <td>5.391</td>\n",
       "      <td>10.661061</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                GDP_p_c  enrollment_rate  gross_intake      GPI  unemployment  \\\n",
       "Country Code                                                                    \n",
       "MLT           23.943708         98.98471      105.8694  1.01476         5.391   \n",
       "\n",
       "              GDP_growth  \n",
       "Country Code              \n",
       "MLT            10.661061  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['GDP_growth']==data['GDP_growth'].max()]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GDP_p_c</th>\n",
       "      <th>enrollment_rate</th>\n",
       "      <th>gross_intake</th>\n",
       "      <th>GPI</th>\n",
       "      <th>unemployment</th>\n",
       "      <th>GDP_growth</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>GDP_p_c</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.383217</td>\n",
       "      <td>-0.161076</td>\n",
       "      <td>0.259309</td>\n",
       "      <td>-0.063915</td>\n",
       "      <td>-0.016753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>enrollment_rate</td>\n",
       "      <td>0.383217</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.198245</td>\n",
       "      <td>0.426263</td>\n",
       "      <td>0.155605</td>\n",
       "      <td>-0.251176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>gross_intake</td>\n",
       "      <td>-0.161076</td>\n",
       "      <td>0.198245</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.102763</td>\n",
       "      <td>-0.208786</td>\n",
       "      <td>-0.213487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GPI</td>\n",
       "      <td>0.259309</td>\n",
       "      <td>0.426263</td>\n",
       "      <td>-0.102763</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.110219</td>\n",
       "      <td>-0.132913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>unemployment</td>\n",
       "      <td>-0.063915</td>\n",
       "      <td>0.155605</td>\n",
       "      <td>-0.208786</td>\n",
       "      <td>0.110219</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.160793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>GDP_growth</td>\n",
       "      <td>-0.016753</td>\n",
       "      <td>-0.251176</td>\n",
       "      <td>-0.213487</td>\n",
       "      <td>-0.132913</td>\n",
       "      <td>-0.160793</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  GDP_p_c  enrollment_rate  gross_intake       GPI  \\\n",
       "GDP_p_c          1.000000         0.383217     -0.161076  0.259309   \n",
       "enrollment_rate  0.383217         1.000000      0.198245  0.426263   \n",
       "gross_intake    -0.161076         0.198245      1.000000 -0.102763   \n",
       "GPI              0.259309         0.426263     -0.102763  1.000000   \n",
       "unemployment    -0.063915         0.155605     -0.208786  0.110219   \n",
       "GDP_growth      -0.016753        -0.251176     -0.213487 -0.132913   \n",
       "\n",
       "                 unemployment  GDP_growth  \n",
       "GDP_p_c             -0.063915   -0.016753  \n",
       "enrollment_rate      0.155605   -0.251176  \n",
       "gross_intake        -0.208786   -0.213487  \n",
       "GPI                  0.110219   -0.132913  \n",
       "unemployment         1.000000   -0.160793  \n",
       "GDP_growth          -0.160793    1.000000  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corOfData=data.corr()\n",
    "corOfData"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x7f8b1b21cf90>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "clustermap(corOfData,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9298"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.to_csv(index=True)\n",
    "f= open(\"data.txt\",\"w+\")\n",
    "f.write(data.to_csv(index=True))"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 61,
=======
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "from seaborn import clustermap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x7f64e69884e0>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MbEdmeibPT53P3/sOO5Rxc3dj6rOTaNGhOVarlQ9e/Jh1yzYwafb9tOjQHABPL08CggPo23Bg7nZ+XVpQ7Zm7wWgg4asoYt750W6/yuRGzden4N20NuakFI7d/zJZZ+IwBvhSe8Hj+DSrQ+J3v3HqyQ8AMHiaqPX+43hUDweLleRV2zg77/Pc/fl2bknlp+9GGY0kfr2SuHd/cIhX7dWpeDepgznpIicffImsM3F4N6tL1XkTcwopYl7/igsrfgeg4cYPsKSmg8WKtlj4u/8jhR7LNnPGUDmyOZb0TDZNXcD5fSccyjSfNozaQzti8vfhqxvuzl3uUzmYDq9OwDPIl8zkVDY+9C5p0ecLjQXQfO4dRHRrhjk9i21T3id5r2O8xtOHUX1oJ0wBPvxUZ3zu8uq33Uyzp0aQHm373DnyyUqOf7nWaRz3Fm3xvmcSGAxkRi0l44cv7dZ7DrgNj5790BYL+kIyqW+9iDU+FrcmLfC+a2JuOWOValx6eQ7ZfxR/M4t2c8ZQJbI55vRMNk5dQGKBY2n0NNF1wUP4Vg9FW6ycjtrFjnnfABDWrh7tnhlDYIOqrH3gbU4uLfpz07N9GwIfnQgGA6k/L+Piwq/t1nu0aELgIxNxr1OLhJnPkr56fe66qn+sJPuI7fPHHBtHwsOzim1bi5zXzZKexdYp75Pk5HVrMn0YNYZ2wj3Ahx/zvW4AVfu3o9GjQ0Brkvef4veJ7xQbU7guSUxFsQb17cHIIQN4Yu7LV74zpTB1H0Xmd6+iU5LwHP0klqO70Yn2dx8xH9pG9mr7D3vMWWQt+widHIfy8cdzzCzST+yDzPRCw1msVub9uIH37utPmL8Po177gc6NalA7PCi3zGODbsp9/NWGvfx1NgEAL3c35o6MpHrFAOIupDLy1e9pX78qfl4lv2NQ/S7NqVgznBe6TKVaizoMeW48bw5y/kHduFcbMtMySrzvyxrmxHimy2RqtKjL8OfG8/KgJ52WbdarrdMYARHB1O/UlPNn4ouM1ad3JHXr1KR+w460a9uSd96eR4eO/e3KBAUF8uK8J2l7Y28SEs7z8UevE9m1I7+t2cgTMybz3fe/8P6Cz2jQoC6/LPqcOjfcWGi8myJvpFqtqgzsMJwmLRsx44VHGdtvgl2ZtNR0RvS4M/f5/1Z8xG/L1gFwaO/fjO59NxnpmQy9YxCTn3yA6fc9XWi8GyPbUqVmFUZ0vIOGLRvwyLzJ3Nv/QYdydzw0iqTEZEZ2GotSCr8A252d3pr9bm6ZIXcOom7jfF9kDAaqPXsvf498muzoRBosfYnklVvJOJx3Z6GQ4T0wX7jEvo73EzigI1WeuINjD7yMzszi3Etf4lWvGl71q9nVJfb9n0nZvA/l7sYNX8/Br2tL0tZvB4OBKnPv5eiop8iOSeSGxa9wYdVWMg+fznutbu+B5cIlDna+l4D+nYiYPpaTD75E+qGTHOr/MFisuIUGUm/5G1xYtRUstjtKHRk+E0sRX14AKkc2w69mOD93fISQlrVpN28cy/vPdih3Jmonhz6JYtBG+8+XVk+N5Oj3Gzn23QbCb2pIixm3semhwr8Yh0c2o0KtcJZ3eISglnVo+cKd/NbP8bU+t3IXRz6Oos/mVxzWnV70O7tmLiyyXRgMeN87hZSnH8GaGI/fy++TtXUT1tMnc4uYjx8m4+EJkJWJR++BeI27j9SXnsG8dxcXp9qSb1XBF//3viR7V/FfrqvkHMsfOj5CxZa1aT9vHEucHMt97y0lZvNBDO5Gen3zBJW7NuXsmj9JPZvIhqnv0/i+vsXGwmAgcNpDxE18HEtsPOGf/R9p67dgPp6vfTFxJM6ej9+YYQ6b68wsYkbdW3ycHBGRzfCtFc6yDo8Q3LIOrV64k1WFvG6HP46ib4HXrULNMBpMGsDqAbPJvpCGR3D53oVMXH0ylC+K1bp5E/z9rs4tFQ3hNdFJcegLCWC1YP5rK8bazUu0rU6KRSfH2R6nXkCnpaC8iq7XvlNxVA3xp0qwH+5uRnq1qMNaJ702ly3fdZjeOb2i1UMDqF4xAIBQfx+CKniRdKnwJNiZRj1bsf3HDQCc2nUET19vfHP2mZ/J24POd/dl9Vs/lWr/AE17tmHrj7YeixO7DuPl64NfITEi7+7Hr2/96LBuyKw7+Hne/9AUfavH/v178fn/vgfgj6078Q/wJzw81K5MrZrVOHz4GAkJtt6t1b9t4NZbbX8QtQY/vwoA+Pv5ER1ddO9ll96dWPLdrwDs3bkfX78KhIQGF1q+as0qBAYHsPP3PQBs37yLjPTM3O1DIyoWGa9jr5v49fuVABzYeZAK/hUIDg1yKNd3eG++eOurnDZpLiRddCjTbVAkq35ek/vcp3ldMk9Ek3UqFp1t5vyijQT0bGe3TUDPtiR+Z9smaelmfDs2BcCansmlbQexZmbblbdmZJGy2dZjrbPNpO07iinCdny8L8c7bYuX9MsG/HvYx/Pv0Y7zP9h6rJOXbcL3pma2fWVk5SahBg8TxZwWTlXt1Yqj39t6AhN2HsXk74NXqON5mbDzKOlxyQ7LA+pWJmbjfgBiNh2gas9WRcar1LsVJ7+zvdfO7zyCyc8bTyfxzu88QoaTeCXlVrcB1pizWGOjwWwma8NvmNp2tCtj3rsLsmznnfnQAQzBjuedqUMXsnf+kVuuKNV6teJIzrGML+RYWjKyiNl8EABrtoXze0/gE2E7dy+dSSDp4Gl0CW7lampUH/Pps1jO2tqXtnIN3p072MeKjiX7yLES7a84lXu34kTO65a48wjuhbxuiYW8brVGRXLk0yiyL6QBkJno+F68WpRS45RSlf7htp2UUvuVUruVUl5XWI/ZSqlHiy9Zon1duhr7uZokMRXlSvkGolOScp/rS0ko30CHcm51W+I5djamAfc5XW8IrwlGN3Ry0T18cRdSCQ/wyX0eFuBD3IVUp2XPnU/hXGIKbetWdli392Qs2RYLVYP9i4xXkH9YEMnnEnOfX4g5j3+4Y6LT+5HbWPfhUrIyiv8jVVBAWCBJ+WIkxyQS4CTGLY/czuoPl5CVkWW3vEn3ViTHnufswZMO2xRUuVI4Z06fy31+9kw0lSvZ3//6yNET1KtXh+rVq2A0Ghk4oBdVq9o+y+fMfYWRIwdz4th2fln8GZOnOO/ZvSw0PITYc3G5z+Oi46gYEVJo+d6DurNysfOpAYNG3MKmNX8UGa9ieAhx5/LOqfjoeELC7eNV8LOdT3c/ficf/foec95/isAQ+3M0rHIolaqGs3PTrtxlpoggsqITcp9nxSRiirB/nUzh+cpYrFgupuEWWLIvhUY/HwK6t+Hixj8BcA8PJjtfvOzoBNzD7ZN69/Bgss/li5eSijEnnnfzG6gX9Tb1VrzJmZn/l5uoaqD2F3O4YcmrBI/oVWh9vMMDSct3XqZFn8c73PG9XJikA6eo1rcNANX6tMbk64VHYIVCy3uFBznE84ooeTyAyv3a0GP1PNp/MBmvSo7vIQAVHIIlIe+ctCbGYwgu/Jz06NGX7B2O552pUyRZ61eXqF7e4YGk5mtbajHH0uTnTdUeLTiXk9iXhjE0BEts3nvAHBePMbTw9hWkTCbCPvs/wj55C6/ONxVbvuDrll7K1823djgVakXQbdHTdF/yDOFdm5Z4239gHPCPElNgFPCy1rq51rp0PRzXGRnKLwdKqemA57Wuh9Z69rWug1Pa/lu35ege0v/aChYzbs06Y+pzF5nf5hu+8fHH1Hc8Wcs/priuHO1ktVLOy67YdYTuzWphNNh/X4u/mMqTX65m7ohIDIZCNi6EchJMF6hUpYbVCakexuK5nxNYpeR/APIFKTZG5YbVqVg9nB/nfkZQlbzeG3dPE70evJW3xzxXwlDFx0pOvsCDk2bw1f/exWrVbNmynZq1bMPPw28fxGeffcdrr7/Pje1a8emnb9KseaTDPopqW1Evea9B3Zg16VmH5X2H9KRhs/rcPdhxWL7YcAXqZjQaCasUyt5t+3j7mXe5fcJQJj51L88+9EJumW4DI1m7dD1WqzX/3p3su/gKFHZo7CtloNY7DxP78VKyTsXiZnQez2FnRRzftN1/c6jHg3jUqUK1V6Zwce0OdGY2hwdPwxx3Hrdgf2p/MYeMo2dg82nH/ZTgXCnK9rlf0vbZsdS5rROxvx8iNfo8VrOl0PIlee2KEh21k9M/b8aaZabWHd1o+8Z9rBv2vLNITgI536epcw/c6tTj4hOT7fcQGISxei2yd20tWeWcN855UaOBzu9M5MDHK7h0qugv7iVWiuN47pYRWBISMVaOIOzdl8k+cgzz2ejCN3D2kVqKeAajEd9aYfw25Fm8I4KI/Pkpfu06jeyLth5UpdQEIP/8nwVa6wW54ZV6GLgr5+mHwM/AEq1145z1jwIVgH1Aa+B/Sql0oL2zBFMp1Q14GVt+tQ24HxgD3Ab0Ukp111qPcrJdBPAN4Jez7f1a6w1Kqd7A84ARSNBad8vZpKFSai1QDXhda/2ms/ZorV8varkrksS0fHi6bFJYznSKfQ+pqhCIvlRgeCYjr0fT/Od63G8ekrfO5Inn4IfI3vgT1uhjxcYLC/AhJjlvf7HJqVT083Fa9tfdR5gxuJPdsksZWUz6YBkT+7SjaY1wp9sV1GFMD9qNiATg9J5jBFTK66XyDw/iYmySXfnqLetSuUktntj4JgajgQrB/tz/9SzeHT630Bg3j+lJhxG2z6eTe44SmC9GQHgwFwrEqNnyBqo1qckzG9+yfZAH+zP566f47ulPCK4Syozl83O3nbbkBV4a9ATkdIzef99Yxo+3fY5u376bKlXzOgwqV4ngnJPh+CVLo1iyNAqAu8ePwmK1JRR33jmcfreMBuD3P3bg6eFBSEgQ8fF5PSa3jRvMraNs81b37zlIWKW8qQKhEaHEx+T1AuZXt2EdjEY3Dv55yG55206tGT/5Du6+9UGys7Idtrt17ED6j7JNNfhr9yFCK+Ul7hUjKpIYm2hX/kLSRdLT0lm/3Da0umbJOvoN72NXptvALrw28027ZVnRiZjy9faawoPJjjnvtEx2dCIYDRj9vLEkFz2XE6DGiw+QcTyauI9+yV2WHZOAe7547hEhZMfax8uOTsC9UgjZMTnxfH0c4mUeOYM1PQPPG6qTvvcI5jjbPsyJF7iw4ne8m9fNTUzrje1O3VFdAUjcfQzvfOeld0QQ6bElH0JPj01m3T1vAODm7UG1fm3ITrHPA2qP60GtnHjn99jiXX61vCOCyIgpebyspLwRzWNf/EbTmcOdltOJ8RhD8s5JQ3BFrOcdz0m3Zq3wGjaGizMfArP9eWe6qStZv28AS+GJdv2x3bkhp20Ju4/hk+9Y+kQEkVbIsewwfzwXj8dw4MMVhe67KJa4BIxhee8Bt9CKWOITi9iiwPYJtrKWs9Fk7NiDe/26DolpHSev22VeEUGkl+J1S4s+T+KOI2izhdTT8aQcPYdvzXDO77H9fchJQhc421Yp1Qq4E2iHLUX+A1jnrKzW+nul1IPAo1rr7YXszxP4FOimtf5bKfUZtgTzdaVUR2wJ7/eFNGUksEJr/ZxSygh4K6UqAh8AN2utjyul8nfj1we6Ar7AIaXUu0DTgu1RSq3DNjrusFxrvQsXJEP5olxZY06gAsNQ/iFgMOJWvy2Wo3vsC/nkDZcbazfHevnCKIMRj4ETMe/fguXvHSWK16hqKKfikzmbeJFss4UVu47QuXENh3In4pK4mJZJsxphucuyzRYe/uRXbml9Az2b1y5xGzd/HsVrfWfwWt8Z7F+5ndY5yW61FnXISEkjJd7+Q3fLF6uY2+4Bnu/4EO8Mm03C8egik1KA9Z+v5IW+03ih7zT+XLmNtoNvBqBGi7qkp6RxsUCMjV9EMbPd/TzdcRKvDXuauOPRvDF8DucOnWZG6wk83XEST3ecRHJMIi/eMp2U+Au527773kJat+lJ6zY9Wbx4BWNGDQWgXduWXLxwkZiYOAqqWNH2hyYgwJ/77hvLRx/b5mOePnWWyK62+Xh7BkyWAAAgAElEQVT169fB09PDLikF+PbTHxnR405G9LiTtcs3cMuw3gA0admISymXSIhz/key96DurPg5ym5ZvcZ1mTn/MaaMnU5SovM/dj8tXMRdPe/lrp73smHFJnoP7QlAw5YNuHQxlcQ4xyvBN0f9TosOtvmYrTq25MThvGkQVWtXwdffl33bD9htk7rnMJ41IzBVDUW5uxE0sCPJUfY9ZslRWwkeZvuDHdivAymb9jqtc36VHhuJ0c+H009/ZLc8bc9hPGpWwlQ1DOXuRmD/TlyMsh9SvrhqK0FDbF+iAvreRMpm2zQAU9UwMNr+PLhXrohnrcpknYnF4OWBwcc2Pc7g5YHvzc3JOHQqd3+HFq5iSc+ZLOk5k1MrdlB7qO21DmlZm+yLaU7nkhbGI7BCbk9h40kDOPK1Y75w9NMoono8QVSPJzi7fDvVh9nea0Et65Cdkl6quaT55zVW6tWKi4fPOS1nPvwXhogqGELDwc0NU6dIsrdusitjrFkXn/sfIeW5GegLjnXwuLkbWRuKHsb/a+EqFvecyeKcY1kn51hWbFmbrEKOZcvHh2Ly9eKPp78otr2FyTrwF+5VK2OsZGufd8+upK/fXKJtlW8FcHcHwODvh0ezRmQfc5widOTTKFb2eIKVOa9bjZzXLfgfvG5nf91O6E0NADAFVcC3VgSXTjl+JhWiI/CT1jpVa30J+BHoVMw2RakHHNdaX/7pkIXAzSXcdhtwp1JqNtBEa50C3Ais11ofB9Ba5/8wWqq1ztRaJwBxQFgR7bna7SxT0mMqivXY0y+wbdefJCdfpNug0TwwfgxD+hc+t6xI2krW6i/xGDIFDAbMezehE8/hftNArDEnsBzdg3vLbhhrNwOrFZ2RStavnwBgrNcGQ5W6KC8f3BrbJuNnLv8EHe9kGDGHm9HA9MGduH/BEqxWzcC29akTHsT/Ld9Kw6oV6dK4JgDLdx6hd4s6dkPVK3cfZefRaJJTM1i8zdYLN2dEJPUrl3y4/eCaXdTv2pzp614nOz2Tbx57P3fd1GXzeK3vjJIfu0LsX7OLRl1b8PS6N8hOz+KLx/KuDJ++7EVe6DvtimNctmz5anr3juTQwU2kpadz990P567bvm0lrdvYkrrXXp1D06YNAXj2udc4fNjWe/HYtDm8/+5LTJ58D1prxt89tch4G1dvoWO39iza8g0Z6RnMnpo3tPpV1Cd2V+P3GBDJQ6PtrweYMmsi3j5ezF9gS/RjzsYyddz0QuNtWf0HN0a24+tNn5ORnsG8h1/KXffxyve5q6ftauN3n1vAk2/O4KHZE0k+n8zzU/PKdR8YyepFaxz2jcXKqVkfcMP/ngaDkcRvVpHx92kqPTqC1D1HuBC1jYSvV1HzjSk03vguluQUjj6QN4WlyZYFGH29UO5uBPRqx98jZ2O5lE6lybeRfvg0DX99FYC4T5eS/O1KsFg589T71PpsNspo4Py3q8g4fJrwh0eS9ucRLq7aSuI3UVR/7WEarHsfc3IKJx+0tcOndQNqPjALss1orTnz5HtYklIwVQ2j5oInbBVyM5K8aB0p63ZiG320d3b1bipHNuPWTa9gTs9i88N5nVa3rHyOJT1nAtBy5nBq3toBNy8TQ7a/yZEv17Ln1R8J69CAljNuB62J/f0Qf8z8tNDXDSBm9W4iujWnz5ZXsaRnsW1q3nutR9TzRPWw1bvJkyOodmsHjF4m+u14i+NfruHAKz9S5+5eVOrZEm22kJWcyrYphfwCgNVC2oLX8Z39su3nolYvw3L6BF4j78J85C+yt27G+877UF5eVHj8GdsmCXFces4W3xAajiEkFPO+3UW2J78zq3dTJbIZQza9giU9iw35juWAlc+xuOdMvCOCaDZ5EMmHzzJghW06y8FPojj81VpCmtUi8qMpmPxtc09bPDKEnyMLeR9YrJx/6S1C33oRjAZSFy8n+9hJ/O8dR9bBQ6Sv34KpYT1CXnoGg18FvDq1xzJhLDG3j8e9ZjWCnpgKVg0GxcWFX9tdze9MdM7r1m/Lq5jTs9ia73XrGfU8K3Net6ZPjqB6znnSf8dbHPtyDftf+ZGYNX8S3rkJvdfNR1us7J77pV3vdzGcTSQIwL7TrjTT8Eo31ysfrfV6pdTNQD/gc6XUS0AyhU9eyn9BggVbPldY/H9cr2tBlWYOjvhnlFKzXWkoPzvhWLm96NmfOpujVXZUg8blGm/WxKIvprnaMrAWX+gqee9c8b+teDU1Da5ZrvF8DCX/2a8r9Zq6Or9qUVJuxvI7TwD+NJfvT/R4XYWrwUuqW9szxRe6ihZtr1qu8bpFFDH/8yrbcrZk06Guptuj/1doUqaUaolt6P1G8oby7wSWY+v9vIRtaP9XrfVspdQvwKtaayffPHOH8v8GIrXWR5RSnwK7tNZv5DwudChfKVUdOKu1NiulpgA1gOeAneQbytdan8/pVb2ktX45Z9t9wC1AkJP2jMl57LBca71LKXVJa134VYXXgPSYCiGEEOK6o7XemZMwXp5T86HWeptSag625O048Fe+TT4F3ivs4ietdYZS6k7gO6XU5YufSnpXmi7AY0qpbGwJ8R1a6/ici7d+VEoZsA3Z9yhle3YBFLbcFUliKoQQQojrktb6VeDVAsveBN50UvYH4IeCywuUWQ20cLJ8XDHbLcQ2J7Xg8uXYenDzL5td4HnjfI8d2lPMcpfqLQW5+EkIIYQQQrgI6TEVQgghhCgFpdRPQMGJ8dO01kX+TpdSqgnweYHFmVrrds7KX48kMRVCCCGEKAWt9a3/cLu9QMnuw32dkqF8IYQQQgjhEiQxFUIIIYQQLkESUyGEEEII4RJkjul1qLx/9N593BPlFsu84dtyiwWw2+J4u8qy1MoYVHyhq2RYRJtyiwVwynyxXOMlZBd/D/qrZQwp/Fql/H6E3mAs3xunDGqaXnyhq+ibFWHFF7pKzv5ZvjcPKO9b9LiZyu9mDJ1qnuPIsZLfOU9cn6THVJSp8kxKhXBV5ZmUCuGqJCkVJSGJqRBCCCGEcAmSmAohhBBCCJcgiakQQgghhHAJkpgKIYQQQgiXIImpEEIIIYRwCZKYCiGEEEIIl3DFv2OqlJoOeF6FuvyX1bjWFRBCCCGEcHVX4wf2PbXWs6/Cfv6zlFKzr3UdhBBCCCFcndz5SQBgqNEIU+QIUAbMezdg3rrcbr2xUQdMnYehLyUBkL1rDZa9G1AVq2LqMRpl8gStyf59KZZD266oLk8+/yrrN20lKDCAn79474r2BbDp0Bnm//IHVq25tc0N3NWlqUOZFX8e5/1VuwDFDRFBvDCiMwCvLdvGhr/OoLXmxrqVeLx/O5Qq/t4sE5+5n7aRbclMz2D+w69wZN8RhzJu7m5MmjuRZu2bYrVqPpn/KRuWb+SW0f0YOLY/FouVjNR0Xp3+BqcOnyoy3oCnx1Kva3Oy07P49tF3Obf/hEOZuxZOxzc0AKPRyPFtf/HzrI/RVk1Ew+oMfm48bh7uWM1Wfpr1MWf2HC001tjZd9O8ayuy0jN599E3ObHvmEOZWV8/S0BoIFkZWQDMGzObi4kX6D6qFz3u6IvVYiUjLZ0PZ/wfZw+fKbJtU+Y8SPvIdmSkZ/Dc1Pn8ve+w02P58LMP0aJDM7RVs+DFj1i7bANhlUJ58o1pVPCrgMFg4L15H7Lltz+KjPfEc49wc/cOZKRn8MSkORzYe8huvbePN1/8siD3eXhEKL98v5x5s15j+pyptO3YCgAvL0+CQgJpV7eb0zieHdoQ9OgDYDRw6aflXPz0a7v1Hi2bEPjIA5jq1iJhxrOkrd5gt175eFPph49JW7ORpBffLrJNAJ7t2xDwyEQwGEhdtIyUhQXitWhCwMMTca9Ti8SZz5L+2/rcdcawUIKefARjWEXQED9lBpbo2CLjGRu3xnPEAyhlIGvDcrKWf2O33r3zLZgiB4DVis5MJ2Pha1ij885zFVSRCnM/InPxZ2St+L7Y9gG0nzOGqpHNMadnsm7qAhL3nbCvk6eJ7u8/hF/1ULTFyslVu9g2z1avJvf0od6ILlgtFjISU1j/yAIunU3M3bbCzS2p9PQ9YDCQ9E0U8e/Z10mZ3KjyysN4Na6NJTmFUw/OJ/tsHO6VQ7lh1f+ReewsAGm7DnHuyf8DoOZXz+MeGog1531y/I6nINp529rOGUOVnLZtnLqA8wXaBtBi2jDqDO2Iyd+H/91wd+5yn8rB3PTqBDyDfMlKTmX9Q++SFl34Xes82rXBf8qDYDSS9stSLn3+ld16U/Om+E2eiHvt2iQ9PYeMNXnnit8D9+LR4UYwKDK37eDia285jVH72TsJ6tYSS3omf09+h0t7jzuUqdC0FvXemIjB08T51Ts5+uQnduur3N+fWk/fweaGd2E+n0Jwr9ZUnzYcrBptsXB01qeFtlG4LklMBSiFqfsoMr97FZ2ShOfoJ7Ec3Y1OtP+ENB/aRvbqL+23NWeRtewjdHIcyscfzzGzSD+xDzL/+S0KB/XtwcghA3hi7sv/eB+XWaxW5i36nffG9yLM35tRb/9C5wbVqB0WkFvmZMIFPl7zJ5/e1w8/bw/OX7LVfffJWHafjOO7KQMBuPO9ZWw/FkOb2hFFxmzbtQ2Va1ZmbKc7adCiPpOfn8SkAZMdyo2cNILkxGTGdR6PUgrfAF8Afvt5DUu+WApA+x43cv9T9zJjzMxC49Xr0pyQmuG81GUq1VrU4dbnxvPOoFkO5f438Q0yc9o2+t0pNO13I3t+2ULf6SNZ9cYPHFq7h3pdmtN3xkgWDJ/rNFbzrq0IrxnB1M73U6fFDYx/9j5mDXrcadl3Jr/Ksb32Ce6mRetZ9b8VALTq3oYxT97FC2PnFNq29pHtqFKzMrd3HEOjlg14dN4UJvSf6FBu7EOjSEpMZkSnsSil8Ms5lmMnj2b1L+v4+bPF1KhbnZc/n8fQG0cWGu/mbh2oXqsqvdsNoVmrxjw1fxrD+9xlVyYtNY3BkaNzn38ftZCopWsBeOGp13KXjxp/Gw2a3OA8kMFA0LRJxD0wDXNsPBFfvEP6us1kH89LzMzRcSTOno/fmNuc7iLg/nFk7viz0LYUjBf4+EPEPfg4lth4whb+H+nrt2A+fjIvXkwc55+Zj+/oYQ6bBz0zjYsff0nm1h0oL0+wFnPLU2XAa9QkUl+Zhk5KwGfW25h3b7FLPLP/+I3sdUsAcGvWHs/b7yPt9bw7xXkOvx/zvpJ/ya0a2Qz/muF82/ERQlvWpuO8cSzqP9uh3J/vLyV680EM7kb6ff0EVbo25cyaP0nYf4IDfWdhyciiwZhutJ05gt8eeDv3+FWacx/Hx8zCHJNI7UWvcnHVH2QeOZ2738DbemK5cIm/u96L/y2dCJ8+jtOT5gOQdTKGI/0cPwMATk95hfS9+b+4+juUqRzZDL+a4fzY8REqtqxN+3njWOqkbWeidvLXJ1EM3mj/2dnmqZEc/X4jR7/bQPhNDWk14zY2PFTIl36DAf9HJ5M4+TEscfFU/Og9MjZsxnwi71yxxMSS/OyLVBh5u92m7o0bYWramPg7xgMQ8t6bmFo0I2vXHrtygd1a4FUrgm3tJ+Hbsi51XryH3X0d7xJY58V7+PvR90nZ8TeNv3yCwMjmJP22GwCPSsEE3NyUjDPxueWTNuwjccWjAPg0qEaDBQ87b6NwaXLxk8AQXhOdFIe+kABWC+a/tmKs3bxE2+qkWHRynO1x6gV0WgrKy/eK6tO6eRP8/a5sH5ftO51A1WBfqgT74u5mpFezWqw9YN/7+OPWv7m9fQP8vD0ACKrgBYBCkWW2kG2xkmW2YrZYCfb1KjZmh57tifphFQAHd/1FBT8fgkId73Hf+/ZefPW2rddKa83FJNu94tMupeWW8fT2ROuik4BGPVux40dbb9qpXUfw8vXGt2KAQ7nLSanBzYjR3S3ffjUeOW329PPmYmxSobFa9WjLhh/WAnBk1994+/kQEBpYZP3yS7+U94XFw9sTTdFt69irA79+HwXA/p0H8fWvQLCTY9lveB8+f8v2pUlrzYWcY6nR+FTwBsDHz4eE2ESHbfOL7HMzi75dBsCeHfvw8/elYmhwoeWr16xKUEgQ23/f5VinwT1Z9tNKp9uZGtfDfOYc5rPRYDaTumItXl1usitjiY4l+/BxsDrey9zUoC7G4EDSf99eZHtyyzeqT/bps1hy4qVFrcGrcwfHeEeOQYHzza1mdZTRSObWHQDo9Ax0ZmaR8Yy16mGNO4dOiAGLmeyta3FrYR+PjLzzHA9PyHcuuLXogDU+GuvZEyVqH0D1nq04/P1GAOJ2HsXk54NXqP37wJKRRfTmgwBYsy0k7DuBT4TtfIrefBBLTs9l3M4jucsBvJvVJetkNNmnY9HZZi78sh6/Hu3s9u3Xox3JP6wG4MLyTVTo0KzEdS9OtV6tOJrTtvidRzH5O7bt8rr0uGSH5f51KxO9cT8AMZsOULVnq0JjuTesj/nMOSznbOdK+qrf8OxU4NyMicV89JiTc1ODyQRubih3dzC6YT3v+HkS0qsNsd+uAyBl52Hc/HwwFWiPKTQAtwpepOz4G4DYb9cR0rtt7vpac8ZxfO4XduerNS0j97HB29PhXC4PSqkuSqkl5R7Yvg6zlVKPFlNmkFKqYb7nc5RS3cu+dsWTHlOB8g1Ep+R9eOhLSRgiajmUc6vbEmOVG7AmxZC95hu7bcCW4GJ0QyfHO2x7rcRdTCPc3yf3eZi/N3tP29fvZIItiRn77lKsVs193ZtzU70qNKseSpta4XR/7hvQmts7NKCWkz8GBYWEhxB/Li9GfHQCIeHBnI/LGzrz8bPVadxjY2l2Y1POnYzmrVnvkJxg+6MyYGx/ht4zGDd3dx673XmP5GV+YUFcOJeXcF2IOY9feBAp8Y5/oMZ/Np0qzWpzaO0e9i6zDWn/8sxnjP9sBv2eGI0yKP5vyNOFxgoKDyLxXELu8/MxiQSFBZEc5/jH596XH8JqsbL11y389Oa3uct73NGHfncPxM3djWdHOPbs5lcxPIS4c3G5z+Oi46kYHkJivmNZIedY3vP4nbRo35yzJ8/x6sw3SUpI4uNXFvLal/MZeteteHp5MmV4kZ/VhIWHEnMub4g65lwcoRGhxMc5T2j7De7J8kVRDssrVQmnSrVK/L7BeeLoVjEEc0xeuyxx8Zga1y+ybrmUInDqfSTMegHPti1KtImxYgiW2Lxz0hIbj6lxgxJt616tCtaUVILnz8atUjgZW3dy4e0PnSbMuVUMCMF6Pi+eTkrAWNOxfe5dB+DRcwi4uZH2Us55bvLE1Od20l6Zhkcvx97bwviEB3Ip3/sgNfo8PuGBThM1AJOfN9W6t2DfR786rKs3ojNn1uT18rmFB5MdnXfeZ8ck4t3cvjfcPSyYrMtlLFYsKakYA/1ssaqGUWfJ61gupRP7yuekbTuQu12V+ZPRVisXf91M3Fv20x0u8w4PJLVA27yLaFtBSQdOUb1vGw5+tIJqfVpj8vXCI7ACmUmXHMrazpV852Z8PKaGJTtXsvcdIGvnLsJ/+QEUpP7wM+aTjtOQTBFBZOZrT2Z0IqaIILLytccUEURmtGMZgKCercmKPk/qgbxe3MuC+7Sl5hMjcQ/xZ9/oebRY+lyJ6g6gbPO0lNa68JPbVs5Na20u8Y5d0yBgCXAAQGv91LWtTh5JTF1MWf7KQakuUivwTdNydA/pf20Fixm3Zp0x9bmLzG9fySvg44+p73iyln8MxfSClSdnvY0K+zmiFquVUwkX+XBCH+IupHLne8v4fuogklMzORZ3gZUzbEOp9320gh3HYmhVK7zImM6moBash9FoJLRSRfZvO8B7cxYw5J7B3PvkPbw45SUAFi/8hcULfyFyUFdGPTSS+Q8XMa3BeUCnRT+64wXcPNwZ/vpE6nRozOGNe7lxdA9+mfs5+37dStN+NzL0xQl8OPr5QkI5xnIW6u3Jr5IUex5PH0+mvjedToO7sOHHtQBEfbacqM+W02Hgzdw6aRjvPvJmEU1zFs/xWIZVCmXvtn289cy73D5hKA8+dR9zH5pH90GRLPtuBV+//x2NWjVk1pszGBM5vtBe6JK8dvn1GdSDaRNnOyzve2tPVvzyG9bCkjengQoNY8f3tgGkb/rDLtEslrNp0SXtTTIa8WjRmJjR92GJiSX4+Vn43NKL1MXLC9/G6Txsx3jZaxaTvWYxbu26YrplJBkfv4THoDvIWvkDZGY42UcRSvE+UEYDke9MZP/HK0g5ZX8c6wy+iZCmtVgy9Nki9+1wXhQS3xx/nr9uugtLcgqejWtT/f2ZHO41EeuldE5PeRlz7HkMPl5Ue3cGAYO7wtc7r6htzmyb+yU3PjuWOrd1Ivb3Q6RGn8dqthRSugRtLYSxciXcalQndpDtC0XwGy+T2bwpWbsLTDkpyflfSJsNXiaqTRnM3tufdVwPJC7fSuLyrfjf2IAa025HKTUBmJCvyAKtde4kcaVUDWA5sAZoDzQn5yAopYYCt2itxymlPgXOAy2AnUqpb4DXAS8gHbhTa20/Id2JnIuhawOVgarAfK31BzlJ8XygT87ReFZr/Y1SqgswB0gE6gHrgQe01lal1CWtdYWCdS0Q756c9puAI8CYnDYOADorpZ4EhgCzgCVa6++VUt2Al7HliNuA+7XWmUqpE8BCoD/gDgzTWv9VXJtLSxJT11Puv3KgU5JQvnnDsapCIPpSgW/iGam5D81/rsf95iF560yeeA5+iOyNP2GNdrwQ5loK8/ch5kJe3WMvpFHRz9uhTJOqFXE3Gqgc5EuNiv6cSrjI9mMxNK1WEW8PdwBuuqEKf56Od5qYDhjbn74j+gDw956/qVipYu66ihEhJMbaX2hwMeki6WkZbPx1EwDrl2ygz+29Hfa7ZtFaJj83yWF5+zE9aDsiEoAze47hXylvuNk/PKjI4XhzZjYHVu2kYY9WHN64l1ZDbmbxMwsB+HPp7wx54R678j3u6EPk8J4AHPvzMMGVQnLXBYUHkxTneBFFUk57M1Iz2LRoPbWb181NTC/bsngD45+912HbwWMHMmBUPwAO7j5EaKXQ3HWhERUdhuMvJF0kPS2ddcttQ51rlqyj//C+APQf3peHR08DYP+OA5g8TPgH+ZOcmHd+j7xrKENHDwJg364DhFcKy10XXimU+BjnCWC9RnVxc3PjwJ+On8t9BvVg7vT5TrcDMMfF4xae1y5jaEUs8UVPM7jMo0lDPFo0wXfYAJSXF8rdDZ2WQfJbHxa6jSUuwXbh0uV4YRWxJJQsniUunqxDR2zTAID0tZswNWkIRSSmOikeQ1BePBUYgjW58HjmrWvxGj2ZDF7CWLM+7q06wbB7UN4VQFvR2dlk/7bIYbuGY7tTf2RXAOL3HKNCpWAu93f7RASRGuu8R7HTi+O5cDyGfR+tsFteqWMjmk8awJKhz2HNyusQM0cn4B6Rd967hwdjLvCezo5JwBQRgjkmEYwGjL4+WJJTALBk2f7P2HeUrFMxeNSsTPreI7n7sKamk7xoHd7NbshNTOuP7c4No2xtS9h9DJ9873GfiCDSCmmbM+mxyay55w0A3Lw9qN6vDdkpzq8DsMTHYwzLd25WrIi1hOeKZ+dOZO07gE63fanI2LIVU6OGZO3+E+/Bg2jZ2zZfP2X3ETzytccjIpisGPvjmXUuEY+IgmWS8Kwejme1UFr99lLu8pYr57Orzwyy840SXfj9IF41wtFa/wgsoGj1sCWWDyilHLuR89wAdNdaW5RSfsDNWmtzzhD489gSvJJoCtwI+AC7lFJLyUuKmwEhwDal1OWrytoCDYGTwK/AYKBkVwTCj1rrDwCUUs8C47XWbymlFpOTiOasI+d/T+BToJvW+m+l1GfA/diScIAErXVLpdQDwKPA3VxlMsdUYI05gQoMQ/mHgMGIW/22WI7aT1bHJ29CvrF2c6yXL4wyGPEYOBHz/i1Y/t5RjrUumUZVQjiVeJGz51PINltYsecYnRtWtSvTtWE1th2ztScpNYOTCReoEuRLRIAPO47HYLZYybZY2XE8hloVHS9MAFsP5329H+C+3g+wacVmegyxTdVp0KI+qSlpdsP4l/2+6neatbf9QkCLjs05edg2LFW5RqXcMu26teXMibMO2275PIo3+s7gjb4z2L9yO60GdwKgWos6ZKSkOQzjm7w9cuedGowG6ndtTtzRcwBcjEui1o22obraHRqRcCLGbtuoz5Yzo+9UZvSdyvaVf9BpSBcA6rS4gbSUVIdhfIPRgG+gbY6w0c1Iy26tOXPINpwXXiPvwrEWka2JOeF4CfKPCxcxrucExvWcwPoVG+k9tAcAjVo24NLFVLth/Ms2RW2hRQfbvOjWHVtyPOdYxpyNpXXHlgBUr1MNDw+TXVIK8OXH3zM4cjSDI0ezevk6Bt5mS2qbtWpMysVLhQ/j39qTpT+tcFheo3Y1/P192b1tr9PtALL2H8KtamXcKoWDmxs+vbqQvm5zoeXzS3hyHmf7jeTsLaNJev19Li2NKjIpBcg68Bfu1SpjzInn3aMr6etLFi/rwCEMvr4YAmznvmebFnYXTTljOX4IQ1hlVEg4GN1wb9sF8+4tdmUMoZVzH7s1bYc1Lueq9Rcf5tK0MVyaNoasqB/JXPqV06QU4MDCVfzYayY/9prJiV93UHdoRwBCW9YmKyXN6VB368eG8v/snXd4VMX6xz+zu+mV9NA70iE0QekJTZogKIJSFcQLSJOmAqIIiCBXvTSv2C5WUBHpvUgRCEXpNUhI78km2+b3xy5JNtkUFHNzf87nefJkz5n3zHfmnDO775l5Z46ztxtH5n5ut9+/YTXaLxrFjlHLyE5Ms0vLOnsFl+oVcaocjHDS4dOnA2m7jtvZpO06hu9A6woMPj0fIeOItZdQ6+cNGutPrVOVYFyqV8QQFWN1Xm1D/ei0eHdtRfalvPN68cqWdAcAACAASURBVJNdbOo2h03d5hC1/SS1bHULDKuFIc1x3YrCpYJnbg9k4wl9ufLl/iJtjRcuoqtcCW2o9V5xC+9C9qHS3Svm2DhcmjcFrcbW094Uo23SVNbG7zkVPp1T4dNJ3PYLwYOtK594hdXBlJ5lN4wPYIhLwZypxyusDgDBgzuSsP0Xsi5GcbTRGI63epHjrV4k524ip7q9jDE+BdfqeZ0Gno1rIJx0YO1pLIlbUsqjpbD7Rkp5r6vZB/hGCPErsBxoWIrj7/GDlFIvpUzA2lPbGngU+EJKaZZSxgL7gVY2++NSyus27S9stqWlkRDioBDiHDC0FOWsB9yQUl62bX8CdMiXvtH2/yR/0RrtqsdUAdKCYfd6XAa+BBoNpnOHkYnROD3SD0vMTczXzuAU1hVtrabWpV2yMzFssy7boa3XCk3lOgg3D3SNrJMbcrauQ8bfLk6xWKbPXcQvkWdJSUmja/9hjB/9DAP7dP9Deem0Gmb2fZgXPtqBxSLp17IOtYMr8K8dp2hQOYBODarSrm4ljlyJZsCyjWiEYHKvVvh6uBLeuDrHr91l0LvfIwS0q1uZjg2qlqh5bM9xWndpxaeH1pGjz+HtqXkhD6u2/YtxPcYDsHbhv5m54mXGzxtHSmIqS212/Ub0JezRMEwmExmpGSyZXPzqBBf3RlKvczNe3v8uBn0O30xfnZs2actbrOg1C2d3V4Z/OA2dsxMarYarP//Gsf9YJ2htmLmWPnOfRaPTYsoxsnFW0U5O5J6TNOvcgncPrCJHn8PqaXnD8G9tWc6sXpNxcnZi5mfz0Om0aLQazh06w+4vrHGY3Yb3ovGjTTEZzWSmZbByyopi63Zk9zHadmnD14c/J1ufzcIpeb2QH+9Yw4hu1hG6f725ltf+OYtJ88aTkpTKwslWu/dfX8WMt6cy+LknQErenFx0LybA/l2H6RDeju3HN5Kdlc3sSXmrE2zc87ndbPwe/cIZO+SlQnk8NqA7W74vHHdqh9lC0uL3CPpgEWg0ZGzahvH6LXzGDcdw/jL6A0dwblCPwHfmofH2xK1DW3zGDefuoD/YOWG2kLzkPQL/uRih1ZCxaSum67fwHjsCw4VLZNv0/JfMR+PtieujbfEZO5yYJ0eDxULKitUE/mspCDBevELGdz8Vr2exkP2f93Gf/BZCo8FwaDuW6Fu49BuO+eZlTGeO4NS1H7r6zcFsRmalo/938demJG7vOU2VLk158tA7mLIN7J+S10k2YPubbOw+B49QP5pP6k/ylTsM2GYdCv7t451c+mIfbV4Zgs7DlfBVEwHIuJPIjlHLcs9f9NxV1Ph0vnW5qG92kXMliqDJQ9Gfu0L6ruMkf7WTKsunUHfvasypGUTZZuR7tG5E8OShSLMZzBbuvPIB5tQMhJsLNT6ZD05ahEZLxuHTJH25Ayg88fP33aep1KUpAw6/g1lv4FC+uvXd8SabullX7Wgx5ylqPt4OnZszg078kyvr93F62UZC2tWnxawnkVISe/QSR+d8XPSJNFtIXfZP/JcvAa2GrM1bMd24ideYkRguXiLn0M841a+H31sLEF7We8U8eiTxw0aSvXc/Li2aE/jZRyAlOcd+IefwkUISSbtO4de1Oa2OvodFb+DSSx/kpoXteptT4dMBuDJjbd5yUXtOk7y78CTD/AT0bkPwoI5IoxlLtoELY5fTbNOC0sQhZOb7nN++YFhdfrsFwF4p5eO2cIB9pdBxpHFvu7h1CB3ZF9xfVAjgx0B/KeUZIcQIoFMJZStpPcR7Mx/N/EU+pCht7EiRGQgxTy2wXzz3c47K4nxmLR1TZkGgTiMKLwHyV2I6+HXJRg+QPhP3lqleC23hGel/FVHyjy/59Yf0TGklGz1AkozFjdg9WLZV9i4zLQCNtmzjvH2alO3g21fbg0s2ekA87JRaZloAJw2OR2X+KrpVKzwi81dx9XpAyUYPmA4x3xTraNmcys1Syka27atYYygvAd8A6fliTPMPfX8HfC6l3GCLGx0hpaxuiwmdJqXsXYTePKwTj3KH8m2fHwbGAr0AP+AE0AZ4CGsM7L2h/K1Y42Q3FFPWeUCGlHKpECLBdmwysAW4Y7N5DzglpVxnK9fHWCdDbQYuA12klFdt+yOllCtsMaYtpZQJQoiWwFIpZafizu8fQQ3lKxQKhUKhUFiZidU520ORrzsArBOV3hJCHAa096lxHPgJOAoskFJGA98BZ4EzNu2XpZT34qqOAIuAX4EbNtvSlvVV4BiwE8gfEP8lMF0IESmEqHVvp5QyGxiJNUzhHGAB/vybbu4DNZSvUCgUCoXib4mU8ibQKN/2tziYWFRwtruU8gjWyVD3eNW2fx8lD+tfllLmXykAaR2+nm77K0iWlPLJgjuLKeu8fJ9XAisd2BzG2pN6jxH50nZjXX2g4DHV830+QclhAX8I1WOqUCgUCoVCoSgXqB5ThUKhUCgUigeIEGIkUPA9tIellIXfqVwMpeyB/X+FckwVCoVCoVAoHiC2SUXr/tvl+F9EDeUrFAqFQqFQKMoFyjFVKBQKhUKhUJQLlGOqUCgUCoVCoSgXqBjTvyGifqOSjR4QpmObwJBdZnq69oPLTAvASxwuU73LlrJbFP5OGS94H5UVV6Z6ZUmb6+ns8a9ZZnpaJ0uZaQF4GwxlqudpKbsXCHj5lN33F4BvTOE3P/2VOHuV3b3SoGkcP/5apWTDB0iHkk0U5QzlmJYN2bY3MZSG6n9hOcqeMnRKFYrySlk6pQpFeaWsnVLF/ybKMS0DpJSLSmt7Hw6sQqFQKBQKxf8rVIypQqFQKBQKhaJcoBxThUKhUCgUCkW5QDmmCoVCoVAoFIpygXJMFQqFQqFQKBTlAuWYKhQKhUKhUCjKBcoxVSgUCoVCoVCUC5RjqlAoFAqFQqEoF6h1TBUAHL4QxZLvD2GxSB5/uD6juobZpb/9/WF+uXoHgGyjiaR0PYcWjubinQQWfnuAjGwDWo1gTHgLujevXbzWpd9Z8uMxLFLyeKu6jOrUpJDN9rM3WL0rEhDUDfVj0ZCOACzf8gsHL/6OlJKH61Tk5T5tEEL84Xq/snAZBw4fx6+CL99/vuoP51OQ0fOfp0XnFuToc3hv6gqu/3qtkM2CrxZSIagChmzrW3PmD3uN1MRURr42hsZtGwPg4uaCj78PwxoPKVd695i6YCLturQhW5/D65Pf4tK5K3bp7h5urPn+vdztoNBAtm7YyfK575cqf4A3Fs+ma0QH9PpsJo2fzbkz5wvZ9B/Yi0lTxiKRxNyN4x/Pv0xSUgoAo58fysjnhmI2mdm1Yz8L5i4tF3oeHVoQ8urzCK2G5K92kLj6G7t04ayj4tKpuDWqjTk5nd8nLsJ4Jw7vvp0IeG5grp3LQ9W53ncSOReuF1sv90dbEDxnHGg0pH67jaS1BfScnAhZPBXXhnUwp6QRPeUtTHfiwElHyPwJuDaqg7RI4hauQn/8XLFaALrGrXB95kXQaDDu20LO5i/t0p279MY5vB9YLMhsPfqPlmOJvoWuUQtcB48BnQ5MJvRfrsZ8/nSJegBhC56lYpemmPUGjk5eTfK5m4VsmswYRPVB7XH28eDbOqPt0qr0aUPjqQNBSpLPR3HkxQ8c6ri1a4nfy+NBoyHju62krvvKLt0lrDF+01/AuU5N4me+Sdaug3bpwsOdSt/9m6w9h0laVLq20PiNZwnu2gyz3sCpSatIdVC3+jMHU2VQe5x9Pdhca1Tu/urPdqXGyAgwWzBl5nB6+oekX75TpJZTy9Z4jJuA0GrI3voT+q/X26W7DhiMa4/HwGzGkppCxrLFWOJi8+rn7o7v2k8x/HyQzA9WlKp++Wnz+jNU7tIMkz6HQ5PXkPirfV21rs50XjMRr2pBSLOF2zsjOfnWV44zU/zPoRxTBWaLhbc2HmTVuD4E+3gwdPkGOjasTq0Qv1yb6f0fyf38xcFzXLyTAICbk44FT3ehWqAvcamZPL3sW9o+VAVvN5eitX44yqrR3Qn2cWfo+z/SsX5VagX75trcSkjlo71n+XjcY3i7u5CUoQfg9K1YTt+K45uX+gEwctUWTlyPoVWt0D9c9/69Inh6YF9mLyjeWbkfwjq3oGL1iozvMJa6zesx9s0XmNFvmkPb5ZPe4drZq3b71r3+Ye7nXiN6U7Nh8W8NKmu9e7Tr0oYqNSoz8JGhNAprwIy3pjCq9wt2NlmZeoZFjMnd/mTbGvZtOVCq/AG6RnSgZs1qtA3rQVjLpix+5zV6hT9lZ6PVanlj0Ww6tOlNUlIKr86fxqjnh7J00Qc80r413Xt1pcsj/TAYjAQE+BWhVMZ6Gg2h817g1vBXMMYkUPO75aTvPorh6u1cE99B3TGnZnC1y3N49+5A0IyR3Jm4mLRN+0jbtA8Al7rVqLL6tRKdUjQagl97kd9HzcYYm0C1b1aQsecYhmtRuSY+T3TDkpbBje6j8erVkcCpo7g7ZRG+g3oAcLPveLR+PlReu4BbT0wCWcxrQYUG1+ETyVz8MjIpHs/X/4Xx1BEs0bdyTQw/78GwZzMAuuZtcR06jqy3Z2FJTyVz2SvIlEQ0lavjMX0x6ZOeLL5+QGiXpnjVCGHzI1PxD6tNy7dGsrP33EJ2d3ZGcnndTnoffsduv2eNYBpO6MvOfvMwpmbh4u9d5Ln0mzWB2HEzMMUmUPE/75O1/wjG63nn0hwTR8Jrb+Pz7CCHWVR4cQTZJ8+WWKd7BHdthmfNEHa1nUKFsNo0XTyKA71eK2QXs+MU1z/aQcSRZXb7f9/4Mzc/3Q1ASLcwGs0bxpGnFxdZP88XXyJ11lQsCfH4vrcaw9HDmKPyrp352hVSJjwPOTm49u6Hx5hxpC+cn5vu/uxojOfOlLp++ancpSneNULY8OhUAsNq0fatEWzuM6+Q3a+rfiLm5wtonLR0/2o2lTo34c7e0p9TRflFDeUr+DUqjioBPlT298ZJp6V789rsK/CEmp+tkVfoYesVrRbkS7VAq1MZ5OOBn6cbyTZH0qHW7QSq+HtR2d/LqtW0JvvOR9nZbDx+mSfb1sfb3erc+nm6ASAQGExmjGYLBpMFk9mCv5fbn6k6LZs1xsf7wb6bunW3h9m7YQ8AlyMv4eHtQYWgCn8or/Z9O3BwU/GOXFnr3aND90fZ8u12AH49dR4vH0/8g4p2/KrUqIRfQAUij5X+x6N7ry58/eUPAJw6cQZvH2+CggPtbIQQCCFw93AHwNPLg5i7cQAMH/UU7y1fi8FgBCAhIalc6Lk1rYvhVjTG2zFgNJG6+QBe4Q/b2XiFtyF1o9WZSNt6CI+2TQvl49OnI6mb9xdbJwDXJnUxRkVj/N2ql75lP55d7fU8u7Yl9ftdAKRvP4h722YAONeqStYRa4+lOSkVc1omro3qFKunrfUQltg7yPi7YDZhPLoXpxbt7I2ys3I/ChdXsPm5lltXkSmJ1s+/3wQnZ9A5lVjHyt1bcPNba89k4qmrOPu44xrkW8gu8dRVsuNSCu2vPbQLlz/eiTHVWq6cxDSHOi6N6mG6HY3pTgyYTGRu34d7J/u6maJjMV654dB5d65fB62fL9lHTpZYp3uEdG9B1NfWuiWfuoqTtzsuDuqWfOoqOQ7qZsr3nax1dyH3ZDtAV68+5ug7WGLugslEzr49OLd91M7GeCYScnKsny+cRxOQ10a0teuiqVAB48lfSl2//FTt3oKr3x4CIP7UNZx9PHArUFdztoGYny8AYDGaSTp3E4/Q4h86/2qEEBWFEN/aPncSQmwuxraTEKJdUel/ogw3hRABDzrf+9CfXWD75z+Sj3JMFcSlZhLi65G7HezrQVxqpkPb6KR0ohPTaV2nUqG0c7diMZrNVPH3KVorLYsQn3xaPu7Epdlr3UpI41ZCKsNX/sQzH2zm8KXfAWhaLYhWNUMIf/MrIt78krZ1K1HTwZfzfxv/EH8S7ybkbifGJOIX4u/QdsLSSSzbuoJBEwv3CAVWCiSoajDnDhfvyJW13j2CQgKIjY7L3Y6LjicoJLBI+279w9m5aU+p8r5HaGgw0XdicrfvRscQGhpkZ2MymZgxZT57D//AmYsHqPtQbdZ/tgGAmrWr83C7FmzZ9SXf/fQpzZo3Khd6umB/jPmumSkmAadg+2umC/HHeDfeumG2YEnPQlvBvhfP+7EOpP1YsmOqCw7Iy8umpyuoF+SP6V6Z7un5epNz6QaeXduCVoNTpWBcG9ZGF1r0dQYQFQKQSXl6lqR4RIXCv5fO4f3wXPoZrk89T/ZnhYe0da06YLl1BUzGEuvoFuJHZnRi7nZWdBLuIaV/QPOqGYJ3zVDCf5hLxI/zCXUQYgSgDQrAFJPvXMYmoA0qpS8gBH5Tx5K0fG2pywXgFloBfXTeQ0723STcQu/v4bPGyAgiji6n4atPc3bOp0XaafwDsMTntWtLQjyagKLr59qjF4Zfjlk3hMDz+fFkfrjyvsqWH/eQCnbXMfNu8dfR2dudKhHNiT702x/WfBBIKaOllE+U0rwT8MAd0z+DEKLEEXQhhLYEEzvHVEr5h+qohvLLH9lCiHl/RcZSSof5OhqRKypsc3vkVcKb1kSrsX+miU/L5JX1u1kwpAsaTdExn9KBmMDe3myxEJWQxofP9yQuNZORq7bw7eT+pGTmcD0ulR2zBgMw7t/bOXk9hhY1Q4rUKy84qvfyiUtJik3C1cONGatn0WlgZ/Zt2Jub/mjfDhz56TAWi6V86jm4SRzp3iOiXxfmTXizdHnnSpSsodPpGD76KcI7DODWzdssXPIKE6c8z7tLV6HT6vDx9aZX+FM0D2vMmo+X07ppxH9fr1Rx0Q5s8pXFrWk9LNk55Fy+VdiuNBS8VI7qjiR1w3aca1ah2rf/xBgdhz7yApjMxeftqHoO7g3Drh8w7PoBp7ZdcOk3DP2avOFlTaVquD75HFlLXi5FZRxrFnc/Fjpcq8WzRjC7B76Be6gf4d+9xpYuMxwYFn9disNrcF+yDh3HHBtfsnEJmvdRNQBurNvJjXU7qfx4O+pN7s+piUXE1Dusn2NTly4R6OrUI3X6JABc+/TH8MsxLPH3Wb8S9R0XQGg1dPzgRc5/tJ2MKMeaQojngefz7VojpVyTL706sA04BjQHLgPPAueBllLKBCFES2CplLKT7fe5FlAJqAIskVKuteWzWUpZ7NOvzW4cYBZCDAMmABeBVUBVm9lLUsrDQojWwLuAG6AHRkopL9kcxMVAd6xXZ62U8l4w/wQhRB/ACRgkpbwohPAA3gMaY/X75kkpfxBCjAAeA1wBD6CLg/J2AuYCd4FmQAMhxPe2ursCK6SUa4QQiwA3IcRp4Dcp5VAhRIaU0lNYv1iXAD1t5X1DSllkULByTMsZUspFZa0Z7OtBTEper2VsSiaB3h4ObbedvsqsAe3t9mVkG5iwdgsv9mxDk+rFO4nBPh7E5OuNjU3NItDbvZBN4yqBOGk1VPLzonqgD1EJaZy4HkOTqoG4u1iH9R6pW5mzt+PLhWPa89leRAzpDsDVs1fwD83rYfAP8Sc5tvCQbpJtX3amngPf76dO07r2jmKf9qx51fGPR1nr3eOJEf3pP7Q3AOdPXyK4Yl5vYlDFQOJjExweV6dBLXRaLRfPXS42f4CRY55m6HBrx8PpU79SsVLe9Q2tGEJMjP0PUKPGDwFw66Y1PnPT99uY8NJzAERHx7Dlx50ARJ46h8Viwd+/AomJyWWqVxBTTAJO+a6ZLiQAY2yiA5tATDGJoNWg8XLHnJKem+7du3S9pWDt1XPK18upCwnAFJdYyEYXGoApNiFXz2LTi1+U+ztO1S/ewXArulg9mZSA8MvT0/gF5g7PO8J4dC9uIyZxb8BZVAjAfdLr6FcvwhJ3t8jj6oyIoNbQzgAknr6OR0V/7t2B7hX90McWHtYuiqy7SSSeuoo0mcm8HU/atWi8aoTA3Zt2dubYeHT5RgZ0wQGY44uuW35cmtbHtXljvAf3Qbi5IZx0yCw9yf/8dyHbGiMjqG6rW/Lp67hVzBuqdg31IzsmudAxpeH374/QdPGoItMtCfFoAvPatSYgEEti4Xbt1LwFbkOeIXXaRDBae7R19Rvi1KgJrr37IdzcQOeE1OvJ+mhNoePz89DwcOra6ppgu4738Aj1I6uI69huyWjSbsRw/sPtReZtc0KLLwDUA0bbnMGPgPEl2DcBHsbqzEUKIX4qwT5/eW4KIVYBGVLKpQBCiPXAcinlISFEVWA7UB+rw9pBSmkSQoQDC4GBWB3tGkBzW1r+OIYEKWWYEGI8MA0YA8wB9kgpRwkhfIHjQohdNvu2QBMpZXFxTq2BRlLKG7btUVLKJCGEG/CLEGKDlHKmEOIfUspmDo4fgNWpbQoE2I45IKV02LjVUL6ChlWCiIpP4U5iGkaTme2RV+nYqHohu5txyaRl5dC0enDuPqPJzJR12+jdsi7dmtUqWatyAFGJadxJSrdqnblOxwZV7Gw6N6jKL9et92tyZja3ElKp7OdFqK8HJ2/EYDJbMJotnLwRQ83AosMGypKtn25hSs9JTOk5iWPbj9J5oPXBs27zemSlZ5EcZ/8jotFq8LINy2p1WlqGtyIqX89XxZqV8PTx5NLJi+VC7x7ffvw9wyLGMCxiDPu3HaTXE1bnuFFYAzLSMkmMc/zd1q1/V7b/sLvYvO+x7sP1hLcfQHj7AWz7aTeDn7JOdgtr2ZT0tHTiCvQ23b0bS916tXMdwA6d23HlsnVVgm0/7ebRDtZYypq1quPk5GTnlP439AD0Zy/jXL0STpWDwUmHT+8OZOw+ZmeTvvsYPgO6AuDd81Eyj+QLsRAC756Pkrq5dPHA2ecu41StIk6VrHpevTqSseeonU3GnqP49A8HwKt7e7KOWievCFcXhG0yo3u75kiT2W7SlCPM1y+iDamECAwBrQ6nhztjPGUfbqYJzgsH0jV7GHOMbZa4uwce0xaS/fWHmK8UPzx75eOdbIuYzbaI2dzZdoLqT1gfmv3DamNM0zuMJS2KO9tOENyuPgDOfp541QolIyqukF3Ob5fQVa2ErmII6HR4dO9E1v4jpdJImL2I33sO5fdez5C8fA0Zm3c5dErB2sO5N3w2e8Nnc3fbCaoOttatQlhtTOl6h7GkReFRI+9hKyS8ORk3Yoq0NV26iLZSZTTB1vq5dOqC4ehhOxttrTp4TpxK2txZyNS8cmQsfoPkZwaTPPwpMteuJGf39hKdUoCLn+xiU7c5bOo2h6jtJ6n9hDWmNTCsFoa0LPQO6hr28hM4e7lxbO7nJeZfCm5LKe9V8nPg0eKMgR+klHopZQKwF6vj9mcIB9639TZuAryFEF6AD/CNEOJXYDnQMJ/9KimlCaCAU7nR9v8kUN32uRsw05b/Pqw9nfd6Z3eW4JQCHM/nlAJMFEKcAY5i7TktPujcej6/kFKapZSxwH6gVVHGqsdUgU6rYeaA9rywZjMWi6Rf64eoHeLHv7Yep0GVQDo1qgHA1lNX6dG8tt1w547T1zh17S4pmdls+uUSAK8P6cJDlRzHJOm0Gmb2fZgXPtph1WpZh9rBFfjXjlM0qBxApwZVaVe3EkeuRDNg2UY0QjC5Vyt8PVwJb1yd49fuMujd7xEC2tWtTMcGVR3qlJbpcxfxS+RZUlLS6Np/GONHP8PAPt3/VJ4n95ygReeWrDy4xrp807S85VKWbV3BlJ6TcHJ2Yu7n89HqtGi0Ws4eOs3O9Tty7dr368ChHw86yv6/rnePw7uP0q7rw2z8eT3Z+hwWTM7r7P9854d2s/HD+3TmpWccDIuWwK4d++ka0YGjkdvRZ2Xz0ot5IUy7Dm4kvP0AYmPieWfxB3y35TNMJhO/345m0gtWuy8+38jy999g38+bMBiNTBw/q3zomS3EzF9J1Y8XIDQaUr7dSc6VKAJfGob+3BUydh8j5esdVHpnGrX3rMWcks7vk5bkHu7euhHGmATr5KnSYLYQt2Allf/9Bmi0pG7YgeFqFP4TniH718tk7j1G6rfbCV0ynRrb/405NZ27U6zXU+vvQ5UP30RaLJhiE7k7oxQrWFgs6D99D4/pi63LRR3YiuXOLVwGjMB84xKmyCM4R/RH1zAMzCZkZkbuML5LRH80wRVx7T8M+g8DIHPJDGRa8Y5Y9O7ThHZtRu+fl2HWGzg2eXVuWo+dC9kWYb1GzV4ZQrX+7dC5OdPvxHtc+2Ivv76zkbv7zhLSsTG99i1Bmi2cXrAeQ3IGBBUQMltIWvQ+wSvfsi4X9cN2jNdu4fvCcHLOX0a//wjODesStGweGm9P3Do8jO8LzxI98LnSXSsHxO46TXDXZkQcXY5Jn0PkS3l167xrIXvDrXVr+OoQKj/eDq2bM91Pvcet9fu4uHQDNUd1I7BDI6TRhCE1k1MTi4kBtZjJ+OBdfBYuBY2G7B1bMN+6ifuzozBdvojh6M94PDcO4eaG9yvWmfjmuDjS580uOs/74Pfdp6ncpSkDD7+DWW/g4JQ8x7bvjjfZ1G0O7qF+NJ3Un5Qrd+i7/Q0ALqzbyZUv9v1R2YKxAhIwkdd551oK+z+DBmgrpbSbOSyEeA/YK6V83BYCsO9eUjGaObb/ZvJ8PAEMlFJeKpB/G8DxhBJ7cm1sQ/vhtvJmCSH2Ufj8FOS+1nQU9xOD4zADIeYVFbuoKJ/of3r3zzai0mPILjMpAF37wWWqNzhsUpnqlSV3TI5nJf9VRGUV7p36/8Ie/9ItwfWg0Drdf1zynyGklaFM9bbsLrvwnbZBZXtfno4pfmLZg+bRpkWvZ/qg+fHXKiUbPWBG3vm8WKfI5vDdANpJKY8IIdZiHULvCbwjpdwqhFiOddj8Xoxpf/IN5ds+O2OLMbU5b9OklL2L0JwKeEsp59q21wORUsq3bdvNpJSnhRDfAZ9LKTfYdEdIKasLIcZhdQ6fujeUbxtav4njuNiFgDcwQUophRDNpZSROhGhDwAAIABJREFUthjTllLKfxRzfuzqIoToB4yRUvYRQjwEnAZ6SCn3CSGSgSAppdFmey/GdAAwFugF+AEngDZSSodP1mooX6FQKBQKxd+ZC8BwIcRZrI7TSmA+sEIIcRBr72N+jgM/YR3KXiClLD7oujA/Ao8LIU4LIdoDE4GWQoizQojzWCdHgXXC0FtCiMNA/hnxHwJRwFnbkPrTJegtwDoZ6qwtLGDBfZY3P9sAne1cLcB6Du6xxqbxnwLHfAecBc4Ae4CXi3JKQQ3lKxQKhUKh+HtjkVKOK7DvIFC3CPvLUsr8M/2RUt4EGtk+7yNv2L0QUsrLWCdQ5afQGn5SyiMFyvCqbb8JmGL7y29fPd/nE1iXpcIWIjDWQf4fAx8XVU6bzT7y1UVKmYO1N9mR7QxgRr5tT9t/CUy3/ZWI6jFVKBQKhUKhUJQLVI+pQqFQKBSKvyX5ezpLaT+vtLZCiJFAwYkIh6WUL5Y2j7JCCNEY+KzA7hwpZZuyLotyTBUKhUKhUCgeMFLKdcC6/3Y5SoOU8hzWtUb/66ihfIVCoVAoFApFuUA5pgqFQqFQKBSKcoFyTBUKhUKhUCgU5QIVY/o35NUXj5Vs9AA5bS7pbWcPDi9xuGSjB8jXp1aUbPQASRs5ssy0nKt5lJkWgHAu6a12DxZtWOMy1ds17XqZaVnu70Urf5rTu8pW7+EyXPQ+Ota7zLSgbBe8B/j6fBkueq+BegZj2ekp/idRPaaKv5SydEoVivJKWTqlCkV5RTmlitKgHFOFQqFQKBQKRblAOaYKhUKhUCgUinKBckwVCoVCoVAoFOUC5ZgqFAqFQqFQKMoFyjFVKBQKhUKhUJQLlGOqUCgUCoVCoSgXKMdUoVAoFAqFQlEuUI6pQqFQKBQKhaJcoN78pHBIv7nDqd+5GQa9ga+mreTObzeLtB25dhr+VYNY2v3lUuf/4vwXaN2lNTn6bJZMeYerv14tZKNz0jFhwYs0bdsEi0WybsnHHNx6iN7DHqPf8D6YzRayM/Usm7mCqCtRxeqNnv88LTq3IEefw3tTV3D912uFbBZ8tZAKQRUwZBsAmD/sNVITUxn52hgat7W+JcjFzQUffx+GNR5S6rrm55WFyzhw+Dh+FXz5/vNVfyiP/DiFtcbjuQmg0ZC98yeyv11vl+7abzAu3R4DsxmZlkLGisVY4mMB0AQG4THhZTQBQSAl6fNnYImLKVZPW78Frk+MBY0G48/bMez8xr48j/bCqUNvsJiROdnkfPFPLDG3QaPFdegkNFVqg0aD6fgeDDu+LrF+2ofCcOk/BjRajEd3YNyzwbFdk3a4jZhJ1rIpWH6/Cu5euI6YgbZKHYy/7MGwcXWJWgCHr8awZPtpLFLyePMajHrkoUI223+7zeoD5wFB3WAfFg1oQ3RKJlO/OYJZSkxmyZDWtRjUolaJeg3fGE5w12aY9QZOT1pJ6rmbhWwemjmYyoM64OTrwdZaeW/+8nv4IRq9/ixeDapyatw/ubv5eIl6jd94liCbXuSkVQ716s8cTJVB7XHy9eCnWqNy99ca24tqQzthMVkwJKYROXkN+t8TitVrvuBZQrs2xaw3cPyl1SQ70Gs8cxDVn7Dqbaw92i6tSp82NJw2EKQk5bcojr74QZFabu1a4jdjPEKjIf27raR+9JVdumtYY/xefgHnOjWJm/EmWbsOAqALDSJo2VzQaBFOWtK++IH0bzY71KixYBS+XcOw6A1cfek9Ms/dKGTj0aQmtd/9BxpXZ1J2n+LGqx8B4N+7LVWmPYlbnUqc7TWTzDPW76CAAe2p9EK/3OPdG1Qj5cXnMF/P+050atkaj3ETEFoN2Vt/Qv91gXY+YDCuPazt3JKaQsayxVjiYnPThbs7vms/xfDzQTI/KN3b6h6d/wzVujTDpM9h95Q1JPx60y5d5+pM91UT8a4WhDRbuLkrkqOLrOe83qD2tJszhMyYZADOfbyTC1/uszu+7psj8O/aHLM+hwsTV5Lu4Fx6NalBg3+OR+PqTOLuSC7P+Tg3rfLoHlQe1R1pMpO4K5KrC/6Tm+ZSyZ+HDy7jxtvfFMpTUf5RjqmiEA91akZgjRAWdZpM1ea1GfjmaP7Z/1WHto26tyInK/u+8m/duRWValRiePuR1G/+EJMWTmBC30mF7J6eMISUxBRGdByNEAIvXy8A9ny/l82f/wRA24iHeeG1scx6Zk6RemGdW1CxekXGdxhL3eb1GPvmC8zoN82h7fJJ73DtrL2TvO71D3M/9xrRm5oNa95XffPTv1cETw/sy+wFS/9wHrloNHiMe4m0V6diSYzHZ9lqjMcOY759K9fEdP0K2VOeh5wcXHr2w33kODKWzAfAc/Js9F9/jvH0CXB1A2kpXk9ocB08nqz35yBTEnCf/i6mc0etjqcN44m9GA9tAUDbuA0uA55D/6/X0IW1B50TWQvHg5MLHq+swnhiHzKpmFdLCg0uA8aiX/UaMjURt8nvYPrtODL2tr2dixvO7ftgvnUpb5/JgGHrf9CEVEMTWq1Up9Nskby1LZJVQ9sT7O3O0A9307FuRWoF5r2S8lZiOh8dvsTHIzrj7eZMUqb13g/0cuOTkZ1x1mnJMpgYuGoHHetWJMjLrUi9oK7N8KwZwp62k/ENq03jxaM51KtwO4vZcYobH+2gy5Hldvv1dxKInLSKWuMfK1X9gro2w6NmCLvbTqFCWG2aLh7FgV6vOdS7/tEOwo8ss9uf+utN9nd/BbPeQPXh4TR8dQgnxr5XpF5ol6Z41QxhS7up+IfVpsWikex6bG4hu+gdkVz5aCe9fn7Hbr9njWDqT+jL7r7zMKZm4eJfzKtBNRr8Z08gZuwMTLEJVFz/Pln7jmC8nvfAaoqJI/7Vt/EZPsjuUFN8EtHPvgRGI8LNlUob1pK17wjm+EQ7O98uYbjWDCWy3T/wDKtDzUXPc+6xWYWKUnPR81ybvoqMk5ep/585+HZpTsqeSLIuRXFx9BJqLRlrZ5+w8SAJG61OsvtDVWm8frqdU4pGg+eLL5E6ayqWhHh831uN4ehhzFF57dx87QopE6zt3LV3PzzGjCN94fzcdPdnR2M8d6bo81eAqp2b4lMjhP+0n0pw81p0XDiCDX3nFbKLXP0T0UcuoHHS0vfL2VTt1ISofWcBuPrjUQ6++qnD/P27NsOtRghHHp6Ed4s61FsymhM9XylkV2/JGC5MW0PaiSs0XT8T/y7NSNxzmgqPNCSwR0uOdZ6ONJhwCrC/N+q+PpzE3adLXV9F+UIN5SsK0bBbC07YviijIq/i6uWOV6BvITtndxc6junF7ve+u6/823Vry84NuwC4EHkRT28P/IL8Ctn1eLI7X7z/JQBSStKS0wDIysjKtXF1d0VKWaxe624Ps3fDHgAuR17Cw9uDCkEV7qvM92jftwMHNx34Q8cCtGzWGB9vrz98fH50depjvnsHS+xdMJnIObAHpzaP2tmYzkVCTo7186XzaPwDAdBWqQZardUpBcjW59oVhaZ6XSwJ0cjEGDCbMJ06gK5JW3ujbH3uR+HsCvcujZTWbY0GnJ3BbEJmZ1Ecmqp1sCTcRSbFWvUiD6Jr1KaQnXPPoRj2bgCjIW+nIQfLjQtgMhSyL4pfo5OoUsGTyhU8cdJq6N6wCvsuRdvZbIy8wZOtauHt5gyAn4crAE5aDc46rVXaZC7xngQI6d6C219b21nKqas4ebvjElS4naWcukpOXEqh/frbCaRfiAJLyVoAofn0kovRSy5CL+Hwecx66/lMPnkF19DCbTY/lXq04OY3Vr1Em56rA73EU1fJdqBXc2gXrn68E2Oq9T7JSUwrUsulUT2Mt6Mx3YkBk4nMbftw79TOzsYUHYvxyo3C58tkAqP1VZnC2Qmhcfyz6NejFfHf7Acg49QVdN4eOBWoj1OQL1ovdzJOXgYg/pv9+PVoDYD+yh2yr9nfTwUJePxRcvbtttunq1cfc/QdLDG2dr5vD85t7du58UxeOzdeOI8mIDA3TVu7LpoKFTCe/KVY7fzU6NaCSxsOARAbeQ1nbw/cC9TVlG0g+sgFACxGMwnnbuJRwj1xj8AerYj5xvo9mnbSei6dC+TvHOSLztONtBNXAIj55gCBPVsBUGl4BDff+wFpMFnrnJB3bwT0bIn+ViyZlwo8wBaBECJYCLFeCHFdCHFSCHFECPG4EKKTECJVCBEphLgkhDgghOid77h5Qog7QojTQohfhRB9SyWoKBHlmCoK4RPsR0p0Xm9BakwSPiEOHMepg9n/4U8Ysot3aAoSEBJAfHR87nb83QQCQvztbDy8PQAYMX04K7e8z6sr5+AbkPfF1Xd4Hz49tI7nZo/hg9f+Vayef4g/iXfzhhwTYxLxK6B3jwlLJ7Fs6woGTXyyUFpgpUCCqgZz7vDZkitZBmj8A7Ak5PU4WhLj0foHFGnvGtEL48lj1mMrVUFmZuA5awE+736I+8hxVqexOD0ffyzJeefRkpyA8Cl8Hp069MZj7r9x6T+K7G+t4QqmyENIQzYeb/4Hz9c/wbB7A2RlFKsnfPyRKXl6MqWwnqZSTTS+AZjPnyg2r9IQl6YnxDuvhzPY2424dL2dza3EDG4lpjN83V6e+WgPh6/mhT7EpGYxaPVOeqzYwoh29YrtLQVwDfUjO187099NKtHZ+zO4hlZAH51kp+cW+sce0Ko+3Zm4PcX3wLmF+JFVoH73o+dVKwTPmqF0/WEu4ZvnE9K5SZG22qAAzDF53ynmuAR0wUW3hULHBwdS6ZvVVNm+npR1XxXqLQVwDvEjJzrvfsy5m4hzqP396BzqjyFfnXPuJuLs4LuzKAL6PkLOXnvHVOMfgCU+XztPiEcTUEw779ELwy/Wdo4QeD4/nswPV5a6DAAeIRXIyFePzLtJeIQUfe2cvd2pFt6cO4d/y91Xs2drntyxkO6rJuJZ4L52Ca1A9h378+RSyMaPnLt592tOdBIutvvHvVYovm0eouXWNwj7bi5ezaxhMxp3F6r/ox83ln5bqnoKIQTwPXBASllTStkCeAqobDM5KKVsLqWsB0wE3hdCdM2XxXIpZTNgEPCREEL5VA8ANZT/ABFCzARc/9vlKAop5bzS2FnbaqFj7bYrNqhGQLVgNi34jAqVS/8DYM3fYdnstrVaLUEVA/ntl/Osen0NA58bwNhXnmPxS28DsOmTH9n0yY906d+ZoROfZsmU+xsad9SjtXziUpJik3D1cGPG6ll0GtiZfRv25qY/2rcDR346jMVSwpB3WeHwOjk2de4UgbZ2PTJnWUMmhEaLrkETUieNwRIfh+eMubh07UHOzi33pZfXJZqH8cBmjAc2o2vZCZceT5H92TK01euBxULmnGEId0/cJ7+N6eJpa+/r/ejlr6AQuPQbTfYXpYuZKwlHp65gEczSQlRSBh8+25G4ND0jP9nHt+Mi8HZ1JsTHnW/GRhCXrmfy1z8TUb8y/p7FfB2UVL8HzX3cL8VReeAj+DatweHHF5Sg52DffQhqtFq8agazZ+AbuIf60eX719jWeQbGNAc97aX4zioOc2w8dwaNRRvoT/C788jceQBLkn0vrqPvxYL1cVRlhzeWAzyb18Gsz8F8q0CspUNdx3m4dIlAV6ceqdOt7dy1T38MvxzDEh/v+IAiKE1dc221GiLef5Fz67aTFmXVubkzkis/HMFiMNFwWBe6LB/Lpqfeyn9UyfkXc78KnRYnXw9O9HwF7+a1aLz2JX5uNYGa0wcRtfonzFk5+bIRzwPP58tmjZRyje1zF8AgpcwN+JdS3gLeE0J0steWp4UQrwP/AHYXSLsghDABAUCh+CQhxMdANtAQCAamSCkdBjILIbTAYqA71iu9VkpZdMzM/0OUY/pgcS2t81feaPdMBG2GdAHg9pnr+FbM6wnwCfEjLTbZzr5aWB0qNa7J7EP/RKPV4OnvwwtfvsrKpxz/WPUd3odeQ3oCcPnMZQIr5g01BYYGkBibZGeflpyGPiubQ9sOA3Bg80F6PtmjUL57f9jHpDcnFNrf89leRAzpDsDVs1fwD81znv1D/EkuoAeQZNuXnannwPf7qdO0rr1j2qc9a1798xOWHhTWnpOg3G2NfyCWpMKTUZyatsBt8DOkzZoIJuuQpSUxHvP1K9YwAMBw9BBO9RoU65haUhJwqpB3HjUVApCphc/jPUwn9+P65IsA6Fp2wnT+pHVSVEYq5uvn0Vatg6kYx1SmJCB88/SEbwAyLZ+eixuakGq4vfimNd2rAq6j55D97zetE6Duk2BvN2LS8npIY9P0BHra93oGe7nTuLIfTloNlSp4UN3fk6ikDBpVzOvtCfJyo1agN6eiEohoUNnu+OojI6g61NrOUk5fxzVfO3ML9SM7xr6d/VlqjIyg2tDOACSfvo5bvnL+Eb3A9o2oO6k/hwYswGIbRs1P7RER1LTpJZ25jnuB+uljCg/ZF0XW3SQST15Fmsxk3o4n/Vo0XjVCSDpzvZCtOTYebUi+4eugAMxxhXs9S8Icn4jh2i1cwxqTtesgXk/2JaivdfQ248xVXCoGkG6zdQn1xxBjf//n3E3EOV+dXUL9MTj4rnFEQP9HSPj+EB4F9lsS4tEE5mvnAYFYEh208+YtcBvyDKnTJuaGJujqN8SpURNce/dDuLmBzgmp15P10ZpCxzcaHk6DIdZrF3fmOp756uER6kdmrONr12nxaFJvxHD239tz9+Wk5I2GnF+/l4dnPUWj4eE0f6oTAGmnr+FayZ9Um41LqD85Be7FnGj7XlSXin4YbDY50YnE/WSd7JcWeQ1pseDk74VPWG2Cereh9qtD0fl4gEUi50lnoKXDwlsdxVNFpDniFDC94E4hRBvAAhT3BFAd6AjUAvYKIWpLKR1N0HgeqAE0l1KahBB/3TBKOUV1OysA+PmznSzvNYvlvWbx244TtBzQHoCqzWuTnZ5Ferz9l9KRz3exoM14Fj46kQ8GzSPhxt0inVKw9nCO6zGecT3Gc3j7z0QMDAegfvOHyEzPIimu8Jf30V1HadrWOnzX/NFm3LpiDfavVL1irk2brq35/eadQsdu/XQLU3pOYkrPSRzbfpTOA63OQN3m9chKzyI5zv5LUKPV4FXBGkCv1WlpGd6KqMt5kwsq1qyEp48nl05eLLKOZY3pykW0FSujCQ4BnQ6XDl0wHj9sZ6OtWQePF6eSvmAWMjXF7ljh6YXw9gHAqUkYpqibxepZbl1GE1gR4R8MWh26sA6Yzh61sxGBeddG27AVlnhrTJ1MikNXr6k1wdkFTfWHsBScxFRQ7/YVq56fTa95e8y/HsszyM4i87VhZL3xHFlvPIfl1qU/7JQCNKxYgaikDO4kZ2I0W9j+22061g21s+lcryK/3LT+9iRn5XArKYPKvh7EpmWRbTQDkKY3cPp2ItX9C8cS31y3kwPhszgQPouYbSeoMtjaznzDamNMz3IY2/lnuLFuJ/vCZ7MvfLadXoWw2hjT9fel59OoGk3fHs2x4e9gSHAc73n1453siJjNjojZ3Nl6guqDrHr+Nj1HsaRFcWfbCYIeqQ+As58nXjVDyYhyPFku57dLOFWthK6StS149OhE1v4jpdLRBgUgXKwxwxovT1ybNcR403pvpn+1iTMR0zgTMY2krccJHNQRAM+wOpjSszAWqI8xLgVLhh7PsDoABA7qSNK2UsR2CoF/73YkfH+4UJLp0kW0lfK1805dMBwt0M5r1cFz4lTS5tq384zFb5D8zGCShz9F5tqV5Oze7tApBfj1k1183WMOX/eYw43tJ6k30BrHGty8Fob0LLIcXLvW05/A2cuNQ/M+t9ufPx61ercWJF+N5tdPdnG86wyOd51B/NZfCBnUAQDvFtZzaSiQvyEuBXNGNt4trOcyZFAH4m3nMn7rL/g92hAAt5qhaJx0GBPTOdlvHj+3msDPrSZwe80Wbq74DuB9hxV2gBDiAyHEGSFEURetYDfuZCHEaWAp8KQsvpv+aymlRUp5BbgOFF7yw0o4sEpKaQKQUpbuyeb/EarHVFGIC3sjeahzM2bufxejPoevpucttTN5y1ss71V4Jur9cGzPcVp3acWnh9aRo8/h7al5s3FXbfsX43qMB2Dtwn8zc8XLjJ83jpTEVJba7PqN6EvYo2GYTCYyUjNYMrn4YfyTe07QonNLVh5cY10ualre0O+yrSuY0nMSTs5OzP18PlqdFo1Wy9lDp9m5fkeuXft+HTj048E/VW+A6XMX8UvkWVJS0ujafxjjRz/DwD7d/1hmFjOZq97Fe/5S0GjI2bUFc9RN3IaOwnTlIsbjP+M+chzC1Q2vmdYZupb4ONLfmA0WC1kfrcT7jeUgBKZrl8jZ4XiJnDw9C9lfr8T9xTdAaDAe3YElJgrnx4ZhjrqC+dwxnDv0QftQM+vkpqwMsj+1XjPDgc24DpuM+5yVgMB4dCeW6Jsl6uVsXI3b8/Osy1Md34Ul9jbOPZ7GfPsq5t+KXx7J/ZW1CFd3q1PbqA361XMLz+jPh06jYWaPZryw/iAWKenXtDq1g3z4177faBBagU71KtKuVjBHrscyYOV2NEIwuWsTfN1dOHI9lmU7DyOwjr0927YudYJ9ii1f3K5Igro2o8vRdzHrczj9Ul4767DrLQ6EW9tZ/VefptLj7dC6ORN+6n2i1u/l8tIN+DSrSauPpuDk60FwRBj1pg9iX8dCnTm5xO46TXDXZoQfXY5Zn0NkPr1OuxayL3w2AA1eHUJlm163U+9xa/0+Li3dQMPXhqL1cKXV2okAZN1J5PjwdxxJAXB392lCuzbjsSPLMOkNHJ+cp9dt50J2RFj1mrwyhGqPt0Pn5kyfk+9xff1efntnIzF7zxLSsTE99i9Bmi2cXrAeQ3IRcclmC4lvvU/IyrdAoyH9++0Yr93Cd/xwDL9dJmv/EZwb1iV4+Tw03p64d3wY8/hnuTPgOZxqVsV/6liklAghSP3kG4xXbxaSSN59Ct+uYYQd+QCzPoerk/OWrmq6cylnIqwrfVybuYY6tuWikvdEkrLH2iHn17M1Nd4Yg5O/N/U/m03mbze5MMT6MO/9cAMMdxPJiYqFgvPDLGYyPngXn4XWdp69YwvmWzdxf3YUpssXMRz9GY/nxiHc3PB+xdrOzXFxpM+bXeS1KYlbe05TtUtThh56B5PewJ6pec7s4G1v8nWPOXiE+NFyYn+Sr9xh8NY3gLxloZqM7Eb1iDAsZjM5KZnsmWK/XFvirkgCujan7bEVWPQGzk/Ki4FtvXsxx7vOAODijA9ty0U5kbj7dO5M++gv9lL/3Rdos38pFoOJ8xOLn2dQDL8BA+9tSClfFEIEAEUFrTcHLuTbXi6lLG0cWUGntSgnVhST9rdA3E8cjsMMhJj3vzp8/aD5XzkX06oPKbOb/rS5bB/2vIRzmep9ferBxDeWlrSRI0s2ekA4Vys4qPjXIpzL9jlZG9a4zLR2TSs8/PxXYnEc7fiXke0w/vivo3VQMcuMPWDuxhWzTNVfQN0mxa8N+6D5+nyVMtOqZzCWmdY9usZ+VeTNaZv8dBT4WEq50ravKnAAGAFMk1L2tu1vAvwAjJFS7hZCzAMySuOY2mJMg4DeWIfp9wMOh/KFEOOw9po+dW8o/+/Wa6p6TBUKhUKhUPztkFJKIUR/YLkQ4mWsMaKZwAybSXshRCTgjnVS00Qp5W7HuZXIJawOaTAwroj4UoAPgbrAWSGEEVjLfYQj/H9AOaYKhUKhUCj+lkgp72JdIsoRRcbj/IHR0cNSysmlKI8JmGL7+1uiJj8pFAqFQqFQKMoFqsdUoVAoFAqF4k8ihJiDdbH9/HwjpRzhwLY71vVK83NDSvn4X1S8/xmUY6pQKBQKhULxJ5FSvgm8WUrb7cD2Eg3/hqihfIVCoVAoFApFuUA5pgqFQqFQKBSKcoFyTBUKhUKhUCgU5QIVY/o3JBtLmWk9pPXFowyffy5bingzzF9EWS54D+C9bl2ZaeUsnlpmWgCa0IAy1ZNxZbdIe9eXPYn79GaZ6VnMZbvg/YU4/5KN/keJkS5lqhd8x7VM9Soay+73IF1oaRyQWGZ6iv9NVI+p4i+lLJ1ShaK8UpZOqUJRXlFOqaI0KK9BoVAoFAqFQlEuUI6pQqFQKBQKhaJcoBxThUKhUCgUCkW5QDmmCoVCoVAoFIpygXJMFQqFQqFQKBTlAuWYKhQKhUKhUCjKBcoxVSgUCoVCoVCUC5RjqlAoFAqFQqEoF6g3PylyeWLuCBp2bo5Bn8Nn01by+283irQdu3Y6/lWDWdh9mt3+rs/15vE5zzCj+Rgyk9OL1es7dzj1OjfDqDfw9bSVRP92s5DNqE9m4hXki1ar5cYvF/n+1Y+QFklog2oMeHM0OhcnLCYL3736Eb+fuVak1uj5z9Oicwty9Dm8N3UF138tbLvgq4VUCKqAIdsAwPxhr5GamMrI18bQuG1jAFzcXPDx92FY4yFFajmFtcbjuQmg0ZC98yeyv11vl+7abzAu3R4DsxmZlkLGisVY4mMB0AQG4THhZTQBQSAl6fNn/B975xkYVdG24Wt2N5veO4SSUKUn9A6hCohgV5qCUhWkKF1AUIooIijltWLvikpvUqWGLl16ei+bzZbz/dglyWZ3k6AQeb93rj/JmXlm7nlmzp59dmbOOZiTEkrtx9KY8fpb7NxzgAB/P376bOXfrucW6jrRuPYdBioVhgNbMGz/wbFdw9a4D36ZvKWTMF+/iKpKLVwfGVWYX7D5a0wn95epp6peH22nJ0ClwnhiF8aDG2x16rVB2+ERlJwMAAxHt2E6uRvhHYBr39EgVKBSYzy6DePx3+8pPfc2zQh4eTSoVOT8uJ7Mj762yXeNaUjAS6PQ1ooiecpr5G3ZZZMvPD2o/OMH5G3bQ9qC5WX65t62GYGTRyHUKrJ+2EDmB7Z6bk0bEvjySLS1o0h6+XVyN1v0tHWiCJo5FpWnB4qUmiOxAAAgAElEQVTZTMbqL8ndWHZflqTea0MI6dIEk66AY2NXkHXisp1NnamPUfnRDrj4ebIx6vbequbephkBk0cjVCqyf1xP5ocl/ItpSMDLlv5MmlzUn5rwEELemgUqNcJFTdaXP5P97a9l6jWaN5gwqz+Hx60kw4E/9aY8RtVH26P182RtjaGF6ZGDuxD1TDcUkxljrp64l94n+9wN5761bUbQlJEItZqs79eT8cE3tr41bUDQZMvYJb70Ormbdxfmha98DddGdcmPO0XCmFfK9OsWDecNJtTq35FxK8l04N99Ux6jitW/X4v5V31wFyKf6QZW/46W4t+/4Zvk3kYGphIA6nVqQnBkGHM6jaN6dC2eeG0Yi/vNcGjbuEcL9Hn5dul+4YHUbd+ItOvJZerV6dSEoMgw3ug0nqrRNen/2jDe7TfTzu7zMUvR5+gAGLjiRRr1bsWxX/bRa8pTbFn6PWd3HKNOpyb0mvoUq5+Y61ArpnNTKlWvxOgOI6gdXYcRr41i8oOTHNouGfcmF49fsEn76NX3C//v9XQfoupHOXdMpcJz5ItkzZyIOTUZ37dWYdi/B9O1K4UmxkvnyZ8wHPR6XO9/EI9nRpKzaA4AXuOnofvmMwxHD4GbOyj/7HWB/Xp146mH+zJt7uJ/VA8AQoVr/+HoVs9GyUzFfewijKcOoCRdt7VzdUPbrjemK2cLk8wJV9AtnQRmM8LbH/cJS8g7fRDMpfgnBNrYp9B/vwQlOx23AdMxXTyGkhZvY2Y8dxDDti9t0pTcTPK/WgAmI7i44jZ4NqaLR1FyM+8NPZWKgKkvkDhyMsbEFCp9vpy83/dhuHS10MSUkETKK2/gO/hRh1X4j3ma/MPHnftTQi9o+vPED5+CMSGFyl8tI2+7rZ4xPonkmYvxHfKIrW/5epKmLcJ49Sbq4AAqf/0uur2HMGfnlk8bCO7SBM/IMHa0Go9f05o0WDSMvffbf94TNx3h8geb6PTHknLXfcu/wGkvkDDC2p9fLCdvRwn/EpJInvkGvkNs+9OYnMbNwS+CwYBwd6Py9/8hb8c+TMnO31IU2qUJXlFhbGo9Af+YmjRZOJQdvewDo/hNR7j04Sa673vLJv3aD3v5a81WAMK7x9Bo9kD2PLXQqW/BM8Zw87mpGBNSiPh6Gbnb/ygxdskkzXgTv6cfsSue8dG3CDdXfB7r7dQfZ/5tsfrXeOFQdjrwL8HqX7cS/l3/YS+Xrf6FdY+hweyB7HPk37/gW0mEEKHAEqAVkA4UAIus//8MXALcgK8URZkjhOgETFIUpc/fFpWUilzKlwDQqHtzDvywE4DLcedx9/bEJ9jPzk7r4Urss73ZsMx+puzhmYP5af7nKChl6tXv3pTDP1hmLK7GXcDd2wNvB3q3glKVRo3aRYOi3KpbwdXLHQA3Hw+yEtOdarXo3ort328D4FzcWTx9PPEP8S+zjY5o37cDu9budJqvqXUfpvgbmBPjwWhEv3MbLi3b2dgYT8SBXm/5/+xpVIHBAKirVAO12hKUAuTrCu3+Ls2aNMTXx/sf1XELVdVamFPiUdISwWTEeHQ3mvot7Oy0PZ6iYMdPYDQUJRoKioJQjQsoZZ8jqrBIlIxklMwUMJswnjmIukaT8jXWbLIEiQBqDYiy3x1fkXquDepgvHYT440EMBrJ3bgDj05tbGyMNxMxnP/LYV9p76uFOsCP/H2Hy9U814Z1MFy9ifG6VW/973h2ttcrOGevZ7hyA+PVmwCYktMwpWWg8vctl+4tQns25ca3ls97xuELuPh44Bpi/3nPOHwBfVLGbdUNlv40FO/PDaX0p7lEfxqNYLCcq0LrglCV/bVYqUdTrn5j8Sf9iMUfNwf+pB+5QL4Df4zW6xqA2sO11GtmybHLWb8Dz9jWdr4VnPsLxcEPPd3+o5jzdHbppRHmwD9H45V+xPF4lfQPJ/79G74VRwghgJ+AnYqiRCmK0hR4AoiwmuxSFCUaaAYMFEI0/dtiknJzT8+YCiGmYPml8t9C9X+7AX8Xv1B/0m8WzRBkJKTiFxZAVrLtRafPxMfZ+v6vhcvdt2jYtSkZiWnc+PMK5cEnNIDMYnqZCWn4hAWQnWx/kRu2ZgoRjWtwdscxTqyzLP/+MmcNw9ZMpfe0gQiV4L2HZznVCgwLJDU+pfA4NSGVgLBA0pPsg9kXFo/DbDKzb/1evn3HdikwuHIwIVVDObHH+SyVKjAIc0pS4bE5NRmX2vc5tXfr1gvDYYtPqspVUHJz8Jo6F3VoOIZjh8j7ZHXps4oViPAJQMko6kclMxVV1do2NqpKkaj8gij48xB0fNA2r0otXB97HpV/MPlfLS3TL+Hlh5KdVqSXk44qPNLOTlMzBnXl2pjTEzHs+BolJ91a3h/X/mMRfsEYdn5X+mxpBeupQ4IwJhStLBgTU3BtWLfU9hU1VBAwcQTJ0xfi3jK6XEU0dnrJuDYqp14xXBvUQbi4YLwWX7ZxMdzCA9DdKPq858en4RYe8LeCUEeoQ4IwFfPPlHQb/QmoQ4MJWz4PTZVKpC35T6mzpQBu4f7obhadK7r4NNzC/R0Goc6IeqYbNUf0QuWiYdcjrzm104QE2p0rbrfh29/BvYR/+fFpuIf739Z4RVr9Ey4a9jjx79/wrQSxQIGiKIX7nBRFuQIss86M3krLFUIcBmoASXa1SO4o93RgCrgpijL7325EeRFCzLb+vScD6lL70sEMj1Ji5qRyvWoEVwvjh7lrCIgILkx3cdPS4/n+LB/k/OJaHj1ns2gfDF6AxtWFJ94eQ802DTi/+wStBnbjl7mfcnLDARr1bsUjC4fz/sDXyy1f0jeAJWMXk5aYhpunO5NXTaXTw53Z8f32wvx2fTuw77c9mMtYfi6nW2g7dUNdsw65U8dZiqrUaOo1InPcs5iTk/CaPAvXLj3Rb15Xbr/uKmWNmRC49h1K/tfvOCxuvnYe3ZvjECERuD0+Ft2ZI7azqvaCDvRsD02XjqE7ewBMRjSNOqLtORT9d29aTHPSyf90DsLTF+2DYzCePwx5pe17rkC92zj/S+L9WF/ydh/AlFj2lpkiPQdp5dS7hToogODXXyZ5xhu3XVY4aICjz+DfphzXr9IwJSZz49ERqIMDCX17Nrmbd2JOcx6ECYfjV245AC59tJlLH20mon8b6o7vx+GxTvaA/4Nz5W9zG9cxZ/z10Wb+svpXZ3w/jjjyrwJ8E0IMB4YXS1qtKMpq6//1gSPlqCMQy1L/XCC4DHPJP+ReD0z/W/mvCKg7DOpOmye7AHDl2EX8KwUW5vmFBZJZYnk8MqY2VRtGMmf3MlRqNd6Bvoz76hW+nfURgREhTF2/qLDs5F8X8Ea/aZiTi76YWw/qRosnYwG4fuwSvsX0fMMCSl2ON+oNnN5yhHrdmnJ+9wmaPtyBtXM+AeD4b3/w8ILnbOzvH9yLbk/2AODC8fMEhgcV5gWGBZKemEZJ0qxp+bk6dv70O7Ua17YNTB9oz+qZpd9AZE5Jtty4ZEUVGIw5LcXOzqVxU9wfG0TW1LGFwZk5NRnTpfOWbQBAwR+7calT754JTJXMVIRfUT8K30CUrGL96OqOKqwq7iPnWfK9/XB7ehr5H7+O+XrRzWZK0nWUgnxUYVVt0u30ctIR3gFFel7+hTcdFZJftM/ReGInLu0fsq8nNxMl5SbqyrUwnXf+HVSReqbEZDRhRd9vmtCgMmfpbuHa+D7cohvi89gDCHd3hIsGJU9H+jsfOC1jTEwpoReMKcn+M+AM4elB2LtzSV/+MfrjZ8pVptoz3agy0PJ5zzx6CffKgdz6hLuFB6BPcP55v11Micmoi/mnDgnClFS+/rSpJzmVgotXcItpaHezWdQz3ag+oDMA6Ucv4V6p6FxxDw8g/2/6c/2nfUQvHIqzTRn2YxeEsZznyu0QWYp/bv/Qv8YLhzrMqwjfrEHo6jINASHEu0A7LPtMXwLaCyHiADOwQFGUU8VnUiV3BxmY/g+z89NN7Px0EwD1O0fTYUgPDq/dS/XoWuiy8+yW8Xd/tpndn20GICAimJEfTGbpE68CMLVZ0Q/SObuXseiBaeSmZ+NZbBvzvk83s+9TS/m6naNpM6Q7x9bupWp0TfKz8+yW8bUerrh6upOdnIFKraJu5yb8dcDypZiVlE5Uq/u49Mef1GhTn5TLtneur1+zjvVrLAFd09hm9BrSh91rd1I7ug552Xl2y/gqtQpPHy+y07NQa9Q069qc47uPFuZXiqqMl68XZw+X/qVsPH8GdaUIVKFhmFNTcO0QS85i25uy1FG18BwzkaxZL6FkZtiUFV7eCB9flKxMXBrFYDxfviCgIjBfO48qKBzhH4KSlYamSTv0XxS7SSU/j9zZQwoP3UfORf/rx5ivX7SUyUyx3PzkF4wquDLmtNJXxMwJlxF+IQifIJScdDR1m6Nf976tkacvWJfM1TWaYE6znAfCyx8lP8cS9Lt6oKpcE8ORzfeMnv7UWTRVK6OpFIYxKQXPHp1Inja/1PbdImXagsL/vfp2R1uvdqlBKYD+5FlcqlVGUzkMY2IKnvd3JGnyglLLFKLREPb2LLJ/2ULupl1l21u58tFmrnxk6YOQrtFUG9qdmz/uxa9pTYzZeXdsGR8s/elStZh/PTuRPLV8/akOCcKcmYWiL0Dl7YVbk/pkrvnOzu7WDCdAWNcmRA3tzvWf9uEfUxNDtu62lvE9I8PI/SvBWlc0OX85f/KG/uQt30IxJqbidX8nEl8u59jdBrdmOAFCrf7dsPpnzNbd1niV17+K8q0UTgEP3zpQFGWMECIIsG70Z5e8yanikYGpBIBT2+Oo3zmaWb8vxaAr4LOXVhTmTVm3kAW9Jt9RvTPb46jTuQkv//42BTo93760qjBv3Lr5LO01Fa2HG0Pen4RG64JKreLC3lPs/3wLAN9P+Q8PzBqMSqPGqDfww9T3nUlxeNshmnZuxopdqy2Pi5q0tDDvrfVLmXD/OFy0Lsz6bA5qjRqVWs3x3UfZ/MWmQrv2D3Zg9y/l+FI2m8hd+TY+cxaDSoV+yzpMVy/jPmAoxvNnMBzYi8czIxFu7nhPsdyJb05OInveNDCbyftwBT7zloAQGC+eRb+p7MfWlMZLsxZwMO44GRlZdOk3kNHDBvHwAz3+XmVmM/qf/oP7c7Osj4vaijnxGtruT2K6fgHT6YNOi6oj78Ol80OWm4TMZvQ/ripjWR1QzBRs/wLXh1+09MfJPSipN3Fp0xdzwhVMl47hEh2LOqoJKCaU/FwKNnwEgAgIw7XjY1jWVwWGQxtRUpw/jqfC9Uxm0hYsJ3TFfMvjon7eiOHiFfxGDUF/+hy63/ehrV+bkLdmo/Lxwr1DK/xGDebmw885r7M0TGZSXl9O2MrXEWoV2T9a9PzHDEZ/6hx5O/7AtX5tQpfOQuXtjUfHVviPHsT1/sPx6tkRt6YNUfn54P1gdwCSZ7xBwdlL5ZZP2hJHcJcmdNr/NiadnuPjij7v7bbOZ3eXqQDUnfkUlR5qg9pdS2zccq59vp3zi78vl3+p85cTZu3P7J+s/Tl6CAWnzpFn7c/QJZb+9OjYCtPowdx46DlcoqoSOHEEiqIghCDzk28xXLhcqlzClqOEdmlC9z+WYNLpOfxikT+xW15nW9dpADSY+SRV+lv8uf/IMi5/sYM/F39PjaHdCenQALPBiCEzl0NjVzhRwjp27xK+yjJ2WT9ush+7BrUJe/sVVD7eeHZqRcCYwVzrZ5ksqPTJm2gjIxAe7lTb8hlJryxBt7f0m+YSrf51+2MJRp2euGL+dd7yOtut/tWf+SQRVv96HFnGlS92cGbx90QN7U5whwYoBiMFmbkccebfv+BbCbYBrwshRimKcquRHrdTgeTOI/7pPh8hxOy7tWx9N+u+G9xq773e7uerP36XNygV4VnBD344Z86pUL33G2dVqJ7PRx9VmJZ+4cQK0wJQFdtu8f+NpDWXK1TPbCr7KQR3kj+TAss2uoPUC7PfHnO3iEus2C2FjYPu/DJ9aZxIqbixa1jBvgHUOLmx1A+DECIcy+OiWgLJQC6wEkjEwWOh5OOi7j5yxlQikUgkEsn/JIqixGN5RJQjdjiw3+EoXXLnkM8xlUgkEolEIpHcE8jAVCKRSCQSiURyTyADU4lEIpFIJBLJPYEMTCUSiUQikUgk9wQyMJVIJBKJRCKR3BPIwFQikUgkEolEck8gA1OJRCKRSCQSyT2BfI7p/yArb+6uUL1Hw5tXmNYNY8U+8F5bzbNC9Sryofeuk9+sMC0A4x7710DeVXLKePPUHST0pTCOvXSqwvQM5oqdc2haJ75C9fQ5FffVddOlYvuybZC+QvX0qRX3MoZDqUG0ruz89asSCcgZU8ldpiKDUonkXqUig1KJ5F5FBqWS8iADU4lEIpFIJBLJPYEMTCUSiUQikUgk9wQyMJVIJBKJRCKR3BPIwFQikUgkEolEck8gA1OJRCKRSCQSyT2BDEwlEolEIpFIJPcEMjCVSCQSiUQikdwTyMBUIpFIJBKJRHJPIN/8JClkyVuvcn/PWPJ0OoYNG0/c0ZN2No8+2pepU15ArVazfv1Wpkx9DYAqVSrx0QdL8fXzQa1WMX36fNZv2OZUa8jsZ2nSuSkFOj0rJr3D5ZOX7GxmfjUPvxB/CvILAJg/aDZZqZl0HdCDboN7YTaZyc/T8f7U97hx/nq5/Zw4dyxtYluSr9Pz6vj5nD1x3ibfw9Od1T8tKzwOCQ9m/febWTJrebnqV9/XFLdHRoBKhWHvRgo2f2uT79KuFy4d+oDZhKLPR//lO5gTroFKjduAcaiq1ASVCuOBbRRs+qZsvTrRuPYdZtE7sAXD9h8c2zVsjfvgl8lbOgnz9YuoqtTC9ZFRhfkFm7/GdHJ/uXx0xozX32LnngME+Pvx02cr/1FdAHvOXmfRz39gVsz0b1GHoZ0b29lsPHaJVZvjQEDt8AAWPNUZgLfXHWDXn9cAGN4lmh5NosrWuxDPoo1HMZsV+kdHMrTdffZ6p66x6vdTFr1QPxY81KowL0dvoP97G4itW5mp98c41Kg2dxj+sTGYdHoujl9O3gn7c9+zYRQ13n4BlZuW9G1HuDLzAwAC+rQmYuLjuNeK4GSvyeQevwiAxt+LWqtfwqtJTZK/2c75qR8W1hU1bygBXaIx6wo4O245uSf+stPzahRF7aVjULlpSdsax6UZlvLVXn6CwJ7NUcxmDClZnBu3nILEdHzb1Kfexy+TfzUJAGX/dnI/WeO0X7UtWuAz9nlQqdH99hu5n39hk+/x2KN49OmNYjJhzsggc8EizImJTutzhFub5gRMGg1qFTk/rifr469s8l1jGuI/cTTaWlGkTJ1H3tZdNvnC04NK339I3vbdpC8s+7Pefs4gqsU2wajTs3XCapJPXrbJ17hp6blyLL7VQjCbzFzeEse+BV8DUPfR9rSd/iQ5CekAnPh4M6e/2lEuP7UtWuD9/POgtvRl3hcl+vLRR3HvXdSXWYtuvy8BoucOJrxLY0y6Ag68uIr0E5ftbBpOeZTqj7THxc+TH2oOs8mr8kBL6k96GBSFjFNX+WPMuw513Fo3x3/SGFCpyP1pHVmflBi36Ib4TxyDS80oUqbPQ7d1Z2GeOjSEgJkT0YQGgwJJ46Ziir99XyX3FjIwvbPkCyFmA9X/5XbcNvf3jKVWzUjq1mtHyxYxvLt8Pm3aPWBjExDgz8L5M2jRqicpKWl8+MHbxHZux7btu5k2dRzffvcLq1av4b77avHLz59Ss3Yrh1pNOjclLDKc8R1HUTO6NsPmjWRmv5cd2r477i0unbhok7bn551s+XwjAE27NmfQjKEsGPJqufxsE9uSKpERPNx2AA1i6jF5/gSG9hllY5OXq2Ngt2cLjz/ZsJod63aWrMoxQoXbY6PJWz4dJSMFj5fexnjiD0vgacVwaDuG3esAUDdsietDz6F77xU0Me1B40Le66PBxRXPGSsxHNqBkpZUqp5r/+HoVs9GyUzFfewijKcOoCSVCNRd3dC2643pytnCJHPCFXRLJ4HZjPD2x33CEvJOHwSzuXy+OqBfr2489XBfps1d/LfruIXJbGb+j3tZ+VxPQn09GbBsLR3rVaVGqH+hzZXkTD7cfoyPR/fBx8OVtBwdADv/vMqfN1L5+sX+GEwmhq1YR9u6EXi5aUvXW3+ElQM7EurjzoD3t9CxTiVqBPsW6aVm8+GeP/n4mVh83LWk5ebb1PHu9pM0rRbsVMMvNgb3yHCOth2DV0xtouYP52SfKXZ2kQtGcOnlFeQcPkfdz2bg1zmajO1x5J25yrlnFxG1cKSNvTnfwPU3vsS9TlU86lYtTPfvEo17VDiHWr+Ad0wtai4czrFeU+30ai58jvOTVpF9+Bz1v5iOf2w06dviuP7ez1xZZAkUKg3rRdUJj3Jh8moAMvef4fSg+QDUqp3i1GdUKnzGjyN9wiRMyckErl5J/u49mK5cKTQxnj9PynMjQK/H/cG+eI8aQebs8n2mb2kETH6BpNGTMSYmE/7Zu+h+34vhr6tFGvFJpM5ehM+gxxxW4TfqafSHj5dLrlrnxvhFhvFZ+4mERteg4+tP813f2XZ2cat+48a+P1G5qOn31TSqdmrE1R0WjfO//MHOmc6DeWd+eo8bR8YkS18GrFyJfo9tXxrOnydvhLUv+/bFe8QIMl+9jb4EwmMb4x0Vxro2EwmMqUnTBc+wpfcsO7ubm+I4/+Fmeu21fX2xV2Qo973Ql619Z2PIzMM10MepP/6Tx5I05mVMicmErXmPvJ37MP5V7NxIuDVuj9oVD3x1MlkffkH+/sMIdzcwK7flp+TeRC7l30EURVmgKMps4PK/3JTb5oEHevDp55Z3le8/cARfP1/CwkJsbKIiq3L+/CVSUtIA2LptF/379wJAUcDHxwsAXx8f4kv51dq0Wwt2fb8DgAtx5/Dw8cQvxN+pfUl01uADwNXDDYXyX4w69GjHuu8sQe3JI6fx9vUiMCTAqX2VyMoEBPkTt798X1iq6rUxp9xESU0AkxHjkZ1oGrW2Ncovar/QulHYfEWxHKtUoNWCyYiSn1e6XtVamFPiUdISLXpHd6Op38LOTtvjKQp2/ARGQ1GioaAoCNW4WAbxH9KsSUN8fbz/cT0AJ68lUyXIh4hAH1w0ano0jmLHqas2Nj8cOMvjrevh4+EKQICXOwCXEjNoFhWGRq3CXetC7UoB7Dlb+qz6yRtpVPH3IsLfCxe1mh71q7Lj7E1bvSOXeLxZTXzcLQFugKdbYd7pm2mk5ebTOirUqYZ/jxYkf7cDgJwj51D7euJS4tx3CfFH7e1OzuFzACR/twP/ni0ByL9wg/yLtm0CMOv0ZB84g6I32KQH9mhO0jcWvewj59H4eOAS4ldCzw+1lwfZVr2kb3YQ2NPyKmFTsc+aysMVbuOzVlj/fXUx3biBKT4ejEbyt27DrV1bG5uCuKOgt7wj3nD6NOpg58G9I7QN6mC8fhPjDYtG7sYduHey1TDFJ2I4/5fDH17a+2qhDvRH98ehculFdm/Kme93A5AYdxFXH088SvSrMb+AG/v+BMBsMJF84jJe4c6vNeXBpW6Jvty2Dde2tn4ajtr2peo2+xKgcs+mXP7WMqOceuQCLj4euJXw71ZeflKGXXrUgFgufLwZQ6bl+qVPzXKoo61fF+O1G5is45a3aTseHdvY2JjiEzFcuIRSIujURFYDtZr8/YcBUHT5KFa//22EEE8LIZZb/58thJh0l/X6CSHq3aG6Ogkh2pRtefeQM6YSACpXCuP6taIvvBvX46lcKYyEhKLZugsXL1OnTk2qVYvg+vV4HuzbA63W8gX96tw3Wb/uC8aMHoqnpzs9ej7hVCsgLIDUm0UzLGkJqQSEBpCRlG5nO2LxWMwmMwc27OPHd4qWtbsNvp/ezz6IxkXDvCdnltvPkLAgEm8W+ZR0M5mQsGBSk9Ic2nfv15XNa51vSSiJyjcQc3qRb+b0FNTV69jZuXTog7Zzf9BoyHvHMoNljNuNplErPF/7HKF1Rf/DasjLKVVP+ASgZBTpKZmpqKrWtm1TpUhUfkEU/HkIOj5om1elFq6PPY/KP5j8r5b+o9nSO01SZh5hvp6Fx6G+Hpy4lmxjcyUlE4Ah7/6CWVEY2S2GtnUiqF0pgFWb4xjYviH5BiMHL8YT5eCL1UYvW0eYr0eRno87J27YnhdX0rIteh9uteh1rE/bmuGYFYU3Nx/jtX4t2f+X8x9l2rAACoqd+wU3U9GGBWAodu5rwwIoiE+1s/k7aMMD0d8sVld8Gq7hgRiKBROu4YHoi+np49PQhgcWHleb8iShj3bEmJ3HiYdnF6b7NK1N9NbFFCSmY/54KcbLlx22QRUUjCmpaNxMycm41HP+Hereuzf6/Qdux000wUEYi12rTEnJaBvULV9hIfAfP5KUmQtwaxFdriJeYf7kFOvXnPg0vML8yXMQpAFofTyo3jWaYx9uKEyrcX8LKrWsS8alBHbP+YyceMfXoOKogoMxJxf1pbkcfVlw4Pb6EsA9LIC8Yv7p4tNwD/d3GIQ6wrtGGABdfp6FUKs4+eb3JGy3/3GvDgnClFjkjzEpGdcG9ttnHOFSNQIlO5egRbPRVA4jf/8RMpa/X2HXMCGERlEUY4WIlU0/4FfgdHmMy2h7JyAH2Htnmnb7yMC0ghBCTAHcyjS8i1hncx0ihHBkb3OckZHJ8y9M5cvPV2A2K+zbd4jIKMuy4ROP92PNmm9Z8vYqWrVsyscfv0PjJrG3oWVvt3zcW6QnpuHm6cb4lVNo/1Andv2wA4DNa9azec162jzYgf4vPMqKie84c62keJl+Fqfbg7HMfuG18tXtpH5Hs0yGnb9i2PkrmmadcO35BPmfvmUJYM1mcqcPRHh44TH+DYxnjlpmX29Hr7g/QuDadyj5XzvuH/O18+jeHIcIicDt8eeVb04AACAASURBVLHozhyxnVX9F3E0KgJbf00mhaspWbw/sjdJmbk8s+JXvpvwEG1qR3DqWgpD3v0Ffy83GlUNQa12NDZl6dliMitcTcvh/SGdScrK45mPt/PdqB6sO36FdjXDbQJbh5Q1Xs5s/sZMpfOqSuqVbnNlwZdcWfAlES/0J3xoT66+8Q05xy9xoNkozHn5+HeJpu7CeaQ8NdBJI8rRBitu3brhUqcOaWPHOa7LGQ77tXxFvR/ri27PfpsA6e/oObuOCLWKHsvHcPyjjWRdtWhc3hzHuZ/3YS4wUn9gLF2XjOCnJ+aXX99W2GGyW7duaOrUIX3cbfYl3NaYOUKlVuMdFcq2h+fhER5A7E+vsKHz5PIVLq+ORo1rdAPiB4zElJBI0PyZeD7Qg9yf19uYCSGGA8OLJa1WFGV1sfyBwFhAC+wHRgOZwFKgD6ADHlQUJVEI8TGQBkQDR4QQrwEfAlFAHjBcURSny2tCiB1AHNAUCAYGA1OBhsDXiqLMcNYmRVFMQoicku0CagB9gY5CiBnAw4qi2O5/K9LeC7QF1gohzgEzrBqpwADAHRgJmKxteAE4A6wEbu0RelFRlD3OfLwTyMC04nArLTD8Nxg1cgjDhg0A4NCho0RUqVSYVzkinJsOluN//W0zv/62GYBnhw3AZDYB8MwzT9C7j+WL6Y/9h3FzdSUoqGiWp9vg+4l9ojsAl46fJ7BSUGFeQFgg6Q5mLNMTLWn5ufns+XknNZrUKgxMb7Fv7S6GzRtRqp+PPN2PfgP6AHD66FlCKxVtUQipFExyouP9cbXq1UCjVnPmxLlS6y+OOSMFF/8i31T+QSiZzmdCjId/x+3xMQBomnXCePqw5aaonExMl06jrloLYymBqZKZivAr0hO+gShZxfRc3VGFVcV95DxLvrcfbk9PI//j1zFfL7p2KUnXUQryUYVVtUn/Nwn19SAhM7fwODEzj2AfjxI2njSsFoyLWkXlAG+qB/tyNSWLBlWCea5LE57r0gSAKV9sp2qgL6UR6u1OQmbR1onELB3B3u62Nj7uNKwcaNHz96J6oDdXU3M4dj2VuKspfHPoAroCIwaTGQ8XDeO6NkJduwUNNw8FIOfoBbTFzn1tpUAKEm1XCgriU21mLLWVAilIsF9NcIZH3WpEb3kDgOyjF3GtVKyu8AD0Cbbno/5mKq7F9FzDAyhIsD9nk3/cRf3PpnH1jW9slvjTt8Yh1MMQvr4omZl25czJyahDipaT1cHBmFPsP3Papk3xGjyQtBfGgeH2fhwZk5LRFNt6pA4JxpScWkqJIlwb1sM1uiHej/ZFuLsjXDQoeflkLHvfxq7hkK7Ue9JyY13SsUt4FetXr/AAchMdzyZ2XjiMjL8SOPbBxsK0/IyilZDTX2ynzVTnK0zFMScn2yzNq4KDMTnpS8+BA0kbV/6+rPl0N6IGWPxLO3YJj2L+uYcHoEso32wpQF58GqmHL6AYTeReSyb74k28I8MgxfZGP1NSCurQIn80tzFupsRkCs5esGwDAPJ27MG1QT1ysQ1MrUHoagdVIIS4D3gcaKsoikEI8R6WAM0T+ENRlOlCiEXAc8A8a7HaQFdroLgMiFMUpZ8QIhZYAzQpo+kFiqJ0EEKMA37GEqSmAReFEEuAECdtWuOoXYqizBNCrAV+VRTluzK0/RRF6Wj13R9opSiKIoR4FnhZUZSJQoiVQI6iKIutdl8ASxRF2S2EqApsBMo3rf03kXtM/4dZsfITmjXvTrPm3Vm7diODBjwCQMsWMWRlZtks498iONhysfLz82XkyCF88OGXAFy7eoPYzu0AqFu3Jm5uriQXu8BsXrOeqb3GM7XXeA5t2k/7hzsBUDO6NnnZuXbL+Cq1Cm9/y15FtUZNTJdmXD9r2V8YVj280C46thkJl+NL9fO7j39iYLdnGdjtWX7fsItej/QAoEFMPXKycktZxu/Cxp+3llp3ScxXzqEKroQIDAW1Bk1MB4zH/7CxEcFFPwDU9ZtjTrZsoVDSktDUsd51rnVFVb0u5sRrlIb52nlUQeEI/xCLXpN2mE4fLDLIzyN39hDy5o8gb/4IzFfPFQalwj/Esp8VEH7BqIIrYy7tRqsKpn5EMFdTsriRlo3BaGLjsUt0rFfVxqZzg2ocvGgZ//TcfK4kZxER4I3JbCbDemPSufg0zsen0bp25dL1KgdwNS2HG+k5GEwmNp66SsfalWxsOtepzMHLlj5Kz9NzJS2bCH9P5j/Uig0v9mH9uD6M79aYPo2rM65rIwBM5w5wottETnSbSPqGAwQ/0gkAr5jamLLybJbxAQxJ6Zhy8vGKsWzJCH6kE+kby78cm3fmCnFdXyKu60ukbjhAyGMWPe+YWpiy82yW8S16GZhydXjH1AIg5LFOpG60nENukWGFdoE9mqO7cAMAl+CibRFe0TVBJRwGpQCGM2dRR0SgDg8DjQa3LrHo99iuEmpq1cRn0gTSp07DnFH+AOgWBafOoqlSGU0li4Znj07ofi/fSmTKjPnc6P0UN/oMJP3tVeT8ttkuKAU48ckWvu45na97TufSxsPUfdhyvQuNrkFBdp7DZfyWLz2Cq7c7u2Z/ZpNefD9qZPempF+w3zfsCMNZS1+qwqx9GRuLfm+JvqxZE+8JE8iYNg3lNvrywseb2dRtGpu6TePG+kNUf7Q9AIExNTFk68q9jA9wY8MhQtpaYhdtgBfeUeHkXLW/thScPoNLlcqorePm0b0zup3lG7eC02dReXuj8rP84HRrFo2h2E1T5aQLlsDwoBDiqPU4CijAsjQOcBjbG5q/VRTFZP2/HfApgKIo24BAIUTpv4BhrfXvCeCUoijxiqLogUtAlVLaRBntKg9fF/s/AtgohDgBvATUd1KmK7Dc2pa1gI8Q4s7cSOAEOWMqAWDd+q307BnL2T/3kKfT8eyzEwrzDh3cRLPmltnOJW+9SqNGlj1N815bwvnzll/AL01+lVUr3mDcuOdQFIVhz453qhW37TBNOjfl7Z0r0ev0rJpUtMw8f90SpvYaj4vWhSmfzkajUaNSqzix+xhbv7TM1HYf0ouG7RpjNJjIzcphxYSl5fZzz9Y/aNOlFT/s/YJ8nZ654xcU5n22+X2bu/G7PtCZFweVc/npFmYz+d+swGPMPBAqDH9swpxwFW3vgZiunsd0Yj/aDg+grtvEcnNTXg75ayx3tBbs/BW3gePxmL4CEBj+2Iz55uUy9fQ//Qf352ZZHxe1FXPiNbTdn8R0/YJtkFoCdeR9uHR+CMwmSz0/roK87NvztwQvzVrAwbjjZGRk0aXfQEYPG8TDD/T4W3Vp1CqmPNiaUe9vwGxWeLB5bWqG+fPexsPUiwiiU/1qtKldmX3nrvPQ4u9RqQTjezfHz9MNvcHI0BW/AeDp5sJrT3ZCoy79d7hGpWLK/TGM+nwnZkXhwSaR1Azx5b3tJ6lXyZ9OdSrTpkYY+y4m8tB7Gyx6XRvjZ73xqjxkbD2MX5cYmux9D7P1cVG3aLj5TU50mwjAX1NWFT4uKmP7ETK2HQHAv2dLqs97FpdAH+p8Op28U39x5qm5AETvX4nayx2h1eDfoyUnn5hL+pYjBHSJodkfyzHr9Jx78b1CvegtbxDX9SUALkz+T+HjotK3xZG+NQ6AyOkDca9ZCcwK+deTufCyZeIp6IFWhA/pgWI0Yc4vIGNOKXd9m0xkvb0U/8VvgEqFbt16jJcv4zX0GQxnz6LfsxfvUaMQ7u74zZljKZKUSMbU6eXuV0xm0hYuI+TdBaBSkbN2A4ZLV/AdOYSC0+fQ7dyHtl4dgt+cjcrHC/cOrfEdOYT4R58tu24HXNl2lGqxjRm0+02MugK2TiyakHt8w2t83XM6nmEBNB/bj7TzN3h8vWWy7dZjoRo/053q3WJQTCbyM3LZMmFVOf00kb10Kf5vWPoyf/16TJcv4/nMMxjPnkW/dy9e1r70tfalOTGRjOm30ZdA/NajhHdpQu99b2HUFXBgfFH7um9+nU3dpgHQaMaTVOvfBo27lgcOL+PSF9s59eYPJGw/TljHhvT8fRGKyczRuV9QkJ4DJXe6mMykvbGMkGULQa0id+16y7iNeJqCP88WjlvQG3Ms49a+NabhQ0h4fBiYzWQsXUXIisUgoODP8+T8+Ntt+Yll08IniqLYPKpCCDFJKdqbYcI2VsotbuqgzrL2Ity6Q8tc7P9bxxpnbbJiKKVd5aF425cBbymKslYI0QmY7aSMCmitKIrOSf4dR5S2v65cFQgx+24tUd/Nuu8mjtp9L/mi0VausGdqPBrevKKkALhoKP+S551g60OeZRvdQYR7+YOgf4rr5DfLNrqDGPeUtQp1h8n5Z0H47XDspVMVpgVgMFfsYlipj4u6C+hzKm5O5ZfksLKN7iCP1ij/M5nvBDvOlr6ScCdpXbmU/fJ3iaqHtjrdXG69k/1nLMvmSUKIAMAby0yml9XmEaCPoihPW/eYFi6ZCyHeAZIVRZlrDe6WKIoSLYR4GmimKMrz1kdI5iiKsti6z3OSoiiHrPaTFEXpY61rBzAJy15VuzYpinJFCJHjpF3LgCOKonxUiq+F2tbjOOBZRVEOCyE+AiIVRekkhJgI+CiKMstq9wWW7QpvWI+bKIpytLz9/3eQS/kSiUQikUj+51AU5TSWG4A2CSGOA5uB8NJL2TAbaGYtuwAY8i+16SvgJSFEnBCiRjmlZgPfCiF2AcV/Wf4C9BdCHBVCtMdyE1YzIcRxIcRpLDdH3VXkUr5EIpFIJJL/SRRF+RrbvZcAXsXyvwO+s/7/dImyaVjujC9Z58fAx9b/ZxdL71Ts/x3ADid5jtrErdlSB+3aA5T6HNPi9VuPf8YyM1vS7hzQqETy46XVfaeRM6YSiUQikUgkknsCOWMqkUgkEolE8v8AIcS7WJ5VWpylpe0/vdeQgalEIpFIJBLJ/wMURRnzb7fhnyKX8iUSiUQikUgk9wQyMJVIJBKJRCKR3BPIwFQikUgkEolEck8g95j+D9IoMLLCtM4WpOCu0laY3tW8in2lptDWqlA9VXhQ2UZ3iIp+4L2m7SMVqme+eb7CtKI3tOP4/SsrTM9UtskdZfnVSmUb3UGGByVWmFZzU16FaQHkplbc9RIgR+30+fN3nM0J4XQPL/0V0hKJnDGV3FUqMiiVSO5VKjIolUjuVWRQKikPMjCVSCQSiUQikdwTyMBUIpFIJBKJRHJPIANTiUQikUgkEsk9gQxMJRKJRCKRSCT3BDIwlUgkEolEIpHcE8jAVCKRSCQSiURyTyCfY3p3yBdCzC6RVv1faIdEIpFIJBLJfw0yML0LKIqyoGSag0BVIpFIJBKJRFIMGZhKCnlp7jjadWlNvi6fWS++zpkT52zyPTzd+eCn9wqPQyoFs/77TSx+5R0GjHic/k/1wWQ0kZ6awZwJ84m/7vztLC+++jytY1uSr8vntfGLOHfS/i08GhcNE+aNJbpNYxSzwuqFH7Bj3S5CK4UwY+lkvHy8UKlUrJz/Pvu27S/Vt3kLp9GlWwd0unzGjZ7GiWOn7Wz6PdyLcRNGoKCQEJ/E88NfJi0tA4BhwwfwzHMDMBlNbNn0O3NnLXaqpa4bg2u/Z0GlxvDHJgzbvnds16gN7k9PIe+tCZivXwAPb9yenoy6Si0MB7dR8MOqUn26hap6fbSdngCVCuOJXRgPbrDVqdcGbYdHUHIsvhiObsN0cjfCOwDXvqNBqEClxnh0G8bjv5eqtefsdRb9/AdmxUz/FnUY2rmxnc3GY5dYtTkOBNQOD2DBU50BeHvdAXb9eQ2A4V2i6dEkqlz+OWPG62+xc88BAvz9+OmzO/MA+91xp1n40Q+YzWYe6tKaYf272eTHJ6cx493PyM7VYTIrvDjgAdrH1Oe3XQf5+OdthXbnrt7k64UvUTcyAuEVRIOdyxEqFclfbiHh3R9s6hRaDVFLx+HRsAbG9GwujlpMwfVkAMKff4igJ7qimM1cnfk+Wb8fBaD6m8/j17UZhpRMTnUZV1iXe/3qVF8wErRaMJm5OOU/BD/cAf8u0Zh1BZwft5zcE3/Z+e3ZKIpaS8egctOSvjWOv2Z8aNF5ZRD+3ZqhGIzkX07g/IvvYsrKI/ih9lQa3bewfOt61Xivz3QSTl+xqbf3rMHU7twEg66A7yetJP7UZTvtwZ9MxjvED5VazZWDZ/hl5kcoZgWAVkO603Jwd8wmM+e2xbFxwZcOx82tdXP8J40BlYrcn9aR9clXNvmu0Q3xnzgGl5pRpEyfh27rzsK8Kvs3Ybhg6RNjYhIpE2balK02dxh+sTGYdXoujl9O3olLdvoeDaOo8fYLqNy0ZGw7wpWZHwCg9vOi1sqJuEYEo7+ezPkRizFl5hb1e+Oa1P91PhdGvkXab/sACBg/DI/2LQFIX/U5uRt/x71tMwInj0KoVWT9sIHMD7629b9pQwJfHom2dhRJL79O7uZdAGjrRBE0cywqTw8Us5mM1V+Su7H0z/gtWr06iCqxTTDq9Owcv5rUk5dt8tVuWrqsGot3tRAUk5mrW+I4NN/SrrCWdWg5exAB91Vh+5jlXP7toFMdt9bN8ZtoHbuf15HtYOz8JljGLnX6PHTbisZOHRpCwIyJqEODQYHkF6diiq+4t4JJ7g4yMJUA0Da2FVWjqvBgmydoGFOfqQsmMaT3cBubvFwdT3Z7pvD4840fsG2d5SJ39sQ5BvZ8lnydnkcG92PcjNFMGTnLoVbr2JZERFbm8XaDqB9zH5Pmv8jwB8bY2Q0ZO4D01AyebD8EIQQ+ft6W9HED2frL7/y0Zi3Va1Vj8afzeaTVU05969KtA1FR1Wgd05OYZo1Z+OYr9Or6hI2NWq1m3oJpdGjZh7S0DGbOmcTQ4QNYvOBd2rZvQY9eXYht+yAFBQaCggKcd6RQ4frQCHQrX0HJTMV9/JsYTx1ASbxma+fqjrb9A5iunC1KMxZQsP5zVGHVUIVXc65hoyfQxj6F/vslKNnpuA2YjuniMZQ02zesGM8dxLDN9ktdyc0k/6sFYDKCiytug2djungUJTfToZTJbGb+j3tZ+VxPQn09GbBsLR3rVaVGqH+hzZXkTD7cfoyPR/fBx8OVtBwdADv/vMqfN1L5+sX+GEwmhq1YR9u6EXi5/f03g/Xr1Y2nHu7LtLnOfyTcDiaTmdc/+JbVM8cQGuDHk1MX06lZA2pUCS+0Wf39Jrq3jubxHu25eC2eMfNXseG9+vRu35ze7ZsDcO7KTcYt+g91IyMAcKl8H2c6TaAgPpV66xaRsekA+eevF9YZ9GRXjJm5nGg3moC+7agyfTAXR72JW60IAh5sx8nYsbiEBlDnqzmcaD8GzGZSvtlG0kfriFw6zsaHKtOHcPOtb0jecgz/LtHUfHMUBQlpHGn9Al4xtaixcDjHe021873Gwue4OGkV2YfPUe+L6fjFRpOxLY6M349z+bXPwWSm2oyBRIx9iCvzPiP5h10k/2AJfjzqVqXamil2QWntTk0IjAxjSacJRETXpO9rQ1nV7xU77a/HvIPeep48ueJFGvRuxYlf9hHZuh73dWvG8vunYCow4hno43jgVCr8J48laczLmBKTCVvzHnk792H8q6g9xoQkUmcvwmfQo3bFFX0BCQNGOKzarW0LtJHhHGs7Bq+Y2kTOH86pPlPs7CIXjOCvl1eQc/gcdT6bgW/naDK3x1Hp+f5k7j5O/PIfCX++P5Wef4hrr31a2O4q0weRueNoYT1+XZqiva8W1x8didBqqfTRYvL2HiZo+vPED5+CMSGFyl8tI2/7PgyXrhb5F59E8szF+A6xfa2vkq8nadoijFdvog4OoPLX76Lbewhzdi6lERHbGJ/IML5tN5HgmBq0mf80vzww287uxKrfiN/7JyoXNfd/NY2Izo24vv04OTdS2TlhFQ1H9CpVB5UK/5fHkvS8ZexCP3kPnYOxS5uzCO+B9mMXMGcyWR9+gf7AYYS7G1h/0PxThBCXgWaKoqTcZrlOQIGiKHud5PcF6jlaVS1ms1dRlDZCiOpAG0VRvridNvx/QN78JAGgU8/2/PqtZabtxJFTePt4ERQS6NS+SmQE/oF+HPnjGACH9saRr9MXlg8JD3Zatl2PNmz4bjMAp478ibevF4Eh9sFe7yfu59Nlls+koihkpmdZ/kfB08sDAE8fT1ISU0v1rUevWL756mcAjhw6ho+vDyGhtu0TQiCEwMPTUq+XtycJ8UkADBn6BMuW/IeCAgMAKSlpTrVUVWthTolHSUsEkxFj3C40DVra2WnvH0DB9u/BUFCUWKDH/NefYCyws3eqFxaJkpGMkpkCZhPGMwdR12hSvsJmkyUoBVBrQJT+zuyT15KpEuRDRKAPLho1PRpHsePUVRubHw6c5fHW9fDxcAUgwMsdgEuJGTSLCkOjVuGudaF2pQD2nL1up3E7NGvSEF8f739UR3FOXrhC1bBgIkKDcHHR0LNtDNsPnbCxEQJydfkA5OTlE+xvHyyt33OY+9s2tdh7+KIU5KG/mohiMJL28278e7Swsffv3oKUb7cDkPbbXrzbNbKk92hB2s+7UQqMFFxLQn85Hs/oWhbt/acxZmTbO6EoqL0tfa729kDlriXpmx2WMkfOo/HxwCXEz6aIS4gfai8Psg9bVkiSvtlBYE9LkJ3x+zEwmQHIPnwO13D7a0JQ/3YcX2v/PXxf96YctQav1+Mu4ObtgVewn53draBUpVGjdtGgKJbgosWAruxcsRZTgeUczU3NsvcX0Navi/HaDUw34sFoJG/Tdjw6trGxMcUnYrhwqXAmtry4d2xLync7AMg5cg61rycuIf42Ni4h/qi93cmx9l/Kdzvw72n5zPv3aEGKtf9TvtmBf8+isQ8b2ov0dfswpBT9EHSvHUH+oeNgMqPo8tGfvYTvkw9guHoT4/UEMBrJXf87np1t/TPeTKTg3F+g2PpnuHID49Wblj5ITsOUloHK37dMv6t1b8qF73YDkHzkIlofT9xLnDem/ALi9/4JgNlgIvXkZTzDLdfxnOsppP95rcz+1tavi6H42G3ejruTsSvpmyayGkKtRn/gMACKLh9Fry/Tt7tMJ6CNowwhhEZRlLWlBaUAiqLcKl8dcD7j8v8YGZhKAAgJCyLxZlLhcVJ8EsHhQU7te/bryqa12xzm9XuyD3u2O19aDw4LIslGK5ngMFstLx9PAJ57+Rk+3LCKuatm4R9k+UL48M1P6PFQV3489DWL18xnyYx3SvUtPDyUmzcSCo/jbyYQHh5iY2M0Gpk8YQ7b9/zMsTM7qV23Jl98almCj6pZnVZtmrJuy1f8+NsamkQ3cKolfANRMop+ZCsZKQhf2y9zVeUoVH5BmE4fKrXd5UF4+aFkFwXKSk46wtv+y19TMwa3QbPQ9hmJ8PIvVt4ft0GzcH9uIcaDG5zOlgIkZeYR5utZeBzq60FSlu3My5WUTK6kZDLk3V8YtHxtYfBZu1IAu89cR1dgJD03n4MX40nMKH3WpqJJTMsgNLCo70ID/EhKte2PUY/dz687D9F1xExGz1/J1KGPlKyGjXuPcH+7GACEixuKIb8wryA+FZcw2/PBJSyQgpvWc8ZkxpSVh8bf25qealNWG1bKbD1wddaHRMwYQrPDK6k+azD668noi9Whj0+zCy5dwwMpiC+uk4bWQQAa+mQs6duO2KUHPdjGYWDqHepP5s2iczMrIQ2fMH87O4Aha6Yw9fBK9Lk6Tq2zXDuCosKo1qIOI356lWFfz6RyI8dbP9QhQZgSkwuPjUnJqEOcX7tKIrRaQte8R+hHy3Dv2NYmTxMchP5m0ee54Kb9GGjDAmz7r5iNS5AfhqR0AAxJ6bgEWoJCl7AA/O9vSeKaTTZ15Z2+jEe75gg3V1R+Pri3aIxL1coYE4r5l5iMOtT5pIEzXBvUQbi4YLxW9vvqPcL8yS123uTFp+HpZOwAtD4eVOkazc3dp26rTepg27EzJSajDi7f2LlUjcCcnUvgotmEfrYS37HDQXX7IY0QYqAQ4oAQ4qgQYpUQQl2efCFETyHEESHEMSHEVusM50hgvNW2vRDiYyHEW0KI7cBCIcTTQojl1vKhQogfreWPCSHaWNNzrNILgPbWusYLIXYJIZoUa9ceIUSj23b4vwC5lP9fihBiCuB2O2UURZldSoUOCjivq0e/Lsx8YZ5deq+Hu1OvcV2efej5UqTstZQSv4bVajWhlUI4cfAky+as4PHhj/D8KyOZO3Y+XfvFsu7bjXy16lv+j73zDo+q+BrwO9vSe0/oCb2EKr2GrgJiQ1GqgoB0VIooiiDFrihNxY6iWBDpvQuEHhAIPb333Wy53x93SbLZTVExH/687/Pkyd47Z+bMmZl79+yZmXsbt2rE3Pdm8WSP0XZl/Bl9Go2G4aOH0LPLYK5fu8nCJS8yadoY3nljORq1Bi9vT/r3HEKLlk1ZueZt7onsZVemVZn9uZK6hMBp4Gj037zrOP+fpuJ+M185RcEfv4PZhKZZV3R9R2H4/k1ZNDcD/RevINy80A2cgOnScch3EImzL9aq3Va/2SxxIzWb1c/cS3JWHiM/+pXvpw2mQ71qnLuZyvBlG/Bxd6ZZjUDU6vIjtHcDpcfOpv3HGdi9LcPv78GpP64y+/0vWP/WLFTWL8TTl67hrNNRt0Zo2YWWGntlXnoVjSUHBA7rw815n5C04Sh+A9oT/vrTDoooVYajbiglU23yYCSTmZQf9tmcd29RF0uBgeSL9tFvR9ddWfeUz4YtQuOk5eF3JlCnQ2Ni959FpVbj4unGikEvERYZzpBlk3iz8xTHBVRQ//KIv+8xzKlpqMNCCProDYyXr2CKszpvDrugdPs5bMByddZ8ZZQ8pW+x2JzP2nOK/PY1CP3iHcwZWehPnXccdfwT9gGo/X0JWPg8KS8urVTeytwzi2TVKrotm0DMJ1vIuZHiUKZsRQ7OVdY2tRqn/cuM+wAAIABJREFUFk1IfOIZzIlJ+C2ci9t9fcj7ZZOtCiHGACXXpa2UJGmlNa0h8CjQUZIkoxDiQ2BoibwO04UQm4BVQBdJkq4KIXwlSUoXQiwHciVJesOafzRQD+gpSZJZCDGiRD3eA/ZIkvSA1dl1L2XhTGCGJEn3WctKB0YAU4QQ9QAnSZJOV66x/l0ojum/F+dyHc1K8MiIwTww9H4Azp06T1BocRQxMCSQlETHy2vqNopArdZw/vQfNufv6dya0ZOH8dQDz2K0TnvfZvDwgQwYei8A50/+QaCNrgC76fisjGwK8gvYs0meTtr16x7uHyKvV7p/SH+mPfGCXO/jMeicdHj5epGZllmUf+RTjzPUut7qZPRZQsOCi9JCQoNJTLS9gTZp2gCA69fktaC//LSZiVPkL/X4+ER+2yAvPTgRfQaLxYKfnw9paRl2bSNlpiK8i3/xC29/pOwSU/9OLqiCa+IyYYGc7uGD8+g56D9eIG+A+pPIEdLiCI5w9yna5FSEvjgyaTqzF23nwfbl5GUhpcajDquL+ZJ9VAzkCGliiY0bSVn5BHi6lpJxo2nNALRqFWG+HtQK8OJGajZNqgfwdFRzno6Sf/DP/HoXNfwqnlKsSoJ8vUkqMYaS0jMJ8LWdqv9x52E+mjMOgMj6tTEYTWTk5OHnJS8p2Hwgmn6dWhXJS0Y9Qlv8+1EX4ocxyXYpSGFCGrpQf4wJaaBWofZ0xZyRgzEhFV2on03ewiT7MVcSv4e7o4+NJ3L7UkCezncK9eP2Tw2nEF8KE231G+LTbCKkulIyAY90xadXK849/IqdvoBBHUn98UDRcdsne9H6MXmzW9ypK3iFFo9Nz2Bfssupv8lg5ML24zTs1ZrY/WfJSkwnZstRa1mxSBYJV18P8tNtfziZk1PlzS9WNIEBmFPKX95jkz9VljXHJaA/fgqPkY/j1LAeAIUxf+AU6s/tEJYu1A9jKRsKE0q1X6gfhYnWKGlqJtpAHzlaGuiD0RqBd4sMJ+KjaXJ9fT3wjmqFZDaTsfl3Mld9Q+YqeT144OKZGC5fxbVD62L7ggIwJ5e9nKg0ws2V4GXzyfhgDYbTF8qUazi8J/WtGxVTT13BrcTYcw3xJT8p02G+TotHk301kXMfb6l0nW5Tuu/UQQFF/VFx3hQK/7gsLwMACnYfQNe0EZRyTK1O6MoyiokCWgFHrc64C5BcifR2wF5Jkq5adZTXIeskSTI7ON8DGGbNbwbKnq6ylgPMFUI8B4wC1lQg/69Fmcr/D/PdmvU81mskj/Uaye5N+7jv4b4ANG3ZmNycXFKTHd8g+g7qyZafttmcq9+kLnOWPMeU4TPJSLO/ga3/7GdG9B7DiN5j2LtlP30fkiOOjVs2JDc7jzQHN9oD2w7RooPsyLTu1JKrl+QF8YlxSbS2TpXWjKiBk5POxikF+HT11/TsPJienQezeeMOHhkyEICWrSPJyc4hOcnWMU1ISKJe/Qj8/OTpqi7dO3DpYiwAmzfuoFOXdgDUCa+FVqt16JQCWG5eQhUQivANArUGTYvOmM+WWNagzyfvpSfIf+1p8l97Gsv1P/6yUwpgSbyG8A5EePqDSo2mQRvMV07ZCrkVO4Dq8OZY0uVlDcLdBzRaOcHJFVVYBJaMsne0Nq4WwI3UbOLSczCazGw5dYWujWrYyHRvUpOjsfIXRUaenusp2VTz9cBssZCZJ09pX0xI51JCOu3rhf0lm/8pGkfU4HpCCreS0jAaTWw+EE231k1tZIL9fThifVrFlVuJFBqN+HrKgQ6LxcLWQyfo17FlkbyUn43QuaKrHojQavAd2ImMrbY7lDO3HsX/Ydkh8L23AzkH5HWtGVuP4juwE0KnQVc9EKfaIeSdsH96RUmMSRkUXLzBqZ7PcW3e5xhupRD4SDcA3FvWxZSTjzHZ9loxJmdizivAvaW8fjXwkW6kWx1C7+7NqfbsIM4PX4yloNTaZyHwu789KT/tLzp15IttLOs/m2X9ZxOz9RjNB3cGoFqLCAw5BeSm2OrWuToVrTtVqVXU696clFh5TeT5rceo074xAH61g1FrNXZOKUBhzAW01cNQhwaDRoNr7+4U7HW498QO4eEOWvkaUHl54hTZmJyvvidx6FgSh44lf/cB/B+63X71MGfnF03NF7dfBuZcPe4tZWfW/6FuZGz5HZD70N/a/v6PFJ8/1W4cJ9s+w8m2z5D+6yGuzVpJxubfQaVCZf2Ro6tXG13dOmSv/QVtzTA0YbJ9bv26krf7UKXsQ6Mh+J2Xydmwnbyt+8oVPf/Zdn7qM4ef+szh+ubjRDzUCYCAluEYc/IpSLa/r7d67iG0ni4cfvnLytWnFIUxF9DWKNF3vSrfd4Uxf6Dy8EDlLd/fnNu0sNk0VUkE8JkkSc2tf/VLBXzKShdUFBYv5o6sWZIkKR/YBgwEHgH+ZzdFKRFTBQD27zhEp6j2/HzoW/QFeuZNXViU9s22T2124/ca0INJT8ywyT9l7gRc3VxYsnI+IDuPU0fY714FOLTjCO17tOW7A1+iL9CzcNqSorQ1W1cyorc86/LhglW89N4sJs8bT2Z6FgunynIfvLqcF5ZO55GnHwJJYsHUJQ713Gb71j1E9erC4RNbKMjXM2XC7OK0fevp2XkwSYkpvLl4GT/+9gUmk4lbN+OZPE6W++bL9bz9wWvsPvgLhUYjk8bb72ouwmLBsH4FLmPmgUqF8fftWJJuouv7OOablzGf+73curq+uArh7Co7tU3aUrDiZfsd/SWRLBTu+hqnB6eAEJjOHkBKi0fbYQCWxOuYr5xC26IH6jrNQTIj6fMo3PwpAMI3GKeujyDfXwXGY1uQUuPKVKVRq5g5sD3jVm/GYpEY2KYeEcE+fLjlOI2q+dOtcU061Avj0MVbDH7jB1QqwdR72+Dt5ozBaGLURxsBcHPWsuCxbmjUf+938XMvL+LoidNkZmYTNegJxo9+kgfv7/OXy9Oo1cwe/RDjFnyI2WJhUPd2RFQPYdnajTQKr0H3Nk2ZMWwQr6xYyxcbdyEQzJ8wtGja8/j5WIL8vKkWVHKNnIQp/jz1v34ZVCpSv92B/uJNQmc8Rv6py2RuO0rK2u3UeW8KTfd/iCkzlyvj5WUW+os3Sd9wkCa73kcym7kxZ1XR1G+dZdPwaN8Yja8nkcdWEffGWlLX7uDacx9S49XRVFersRiM/PHM2wQ91oOWhz/AUmDg8pTix71Fbl/KqZ7PAXDlhVVEWB8XlbnzBBk7Tsh6Fo5GpdPS+Fv5EUq5xy8R+4IcfPJs34jChDQMN5LBwdMVLu46Sb3uzZm2520KCwysf6748WcTflvIsv6z0bo68cTq6Wh0WoRaxZWD5zj61XYAor/bzQNLxjJxy2LMRhM/TP/IcceZLaQvfZ/A9xeDWkXeL5swXrmO19gRFJ7/g4K9h9A1qo//0ldQebrj0rk95jHDSXx0NNraNfCdPVXeza0SZH+21sa50R84gtSiM5EHP8RSYODK1A+K0ppse5OzvaYDcG3mCurcflzUrmiyrGtxEz5YT8TyGQQOicIQl8qlseU/QUJo1YR+Jt/PLLn5JM9aBIUmUhd+QPDyhQi1ipwft2CMvY7PhGEYzl0kf/dhnBrXI+jdl1F5eODatR0+45/k1gNjcO/bFedWTVF5e+IxsDcAKS8upfAP+0deleTmzpNU6xHJw/vfxKQvZN+04oDjoC0L+KnPHFxDfGk+eRCZl+IYtFle1hWzZhsXv9mNf2Qdeq6egs7LlRq9WtBy2oOsj3LwfWC2kLHkfQLeW4xQq8j9ZROmK9fxtPad3tp3fkvkvnPu1B6vsXLfYbGQ+e4KAj58AwQYL1wi98eN5drlgB3Az0KItyVJShZC+AIelUg/BCwTQtQuOZUP5ABlPD7Coe5xwDvWqXw3SZJK7vDLKVUXgNXABmBfBVHafzWirHUjlS5AiHl/d0r5/6PsquZO2/J3ymsZ0unOPFOjErio/vrjgP4KsXkVL+y/k1weVbdK9amqBVWZLhFetbZpOtpvJPonscSXH328k5zud2ees1pZCs3qioXuIJv+xmO//gpj/KvuWZUJ8VW75CTAL7dioTvIrozAioXuEL1Dqvb+DFD96I5yF7MLIR4FZiHPIBuBCcBarI+LcpQuSdJhIUQ/YKH1fLIkSb2saz+/ByzARGA08KskSd9bdY2wlvusECIIeYlBHcAMjJMk6ZAQIleSJHchhBbYDPgDayRJettaxgVgiiRJtg+s/h9CiZgqKCgoKCgo/CeRJOlb4NtSp2tVkI4kSZuATaXOXQRK7pTfVyp9Dda1oZIkJSFPy5cu193634i8xrUIIUQosiO8tXS+/yWUNaYKCgoKCgoKCncxQohhwBFgjiRJlork/80oEVMFBQUFBQUFhbsYSZI+Bz7//65HVaBETBUUFBQUFBQUFO4KFMdUQUFBQUFBQUHhrkBxTBUUFBQUFBQUFO4KFMdUQUFBQUFBQUHhrkBxTBUUFBQUFBQUFO4KlF35/0HcVE5Vqi/VaP8awf8V1C2bVix0B5GSkysWulPkVm2/VeUD7wFUoVX3AoHmp97kQOMXqkyfuYpjDi5Suc8wv+NonavuaTlataPXnP9zuAcaqlRfRkVvaL+DfJsUQn+t49c5KyjcRnFMqw69EGLeHSyv1h0s6x/jf9kpVVCoLFXplCoo3K0oTqlCZVAc0ypCkqRFd7K8O+zkKigoKCgoKCj8v6OsMVVQUFBQUFBQULgrUBxTBQUFBQUFBQWFuwLFMVVQUFBQUFBQULgrUBxTBQUFBQUFBQWFuwLFMVVQUFBQUFBQULgrUBxTBQUFBQUFBQWFuwLFMVVQUFBQUFBQULgrUJ5jqlDE5Fcn0K5HWwwFBhZOXcLFs/Zv4tFoNUx9bSItOjTHYrGwavEn7PltHxPnjaNFh+YAOLs44+3nTf9GA8vUNXvBdLr07IC+QM/sia8Sc+YPm3RXN1e+3LCy6Dg4JJAN32/i9blvM/PVqdzTqRUALi7O+Pr70LZuVLm2vbZ4NlG9ulBQoGfy+NmcORVjJzPowf5MnjYWCYnEhGSeHfM86emZAIweM5SRTw/FbDKzfese5r/8Rpm6DlxOZMmWk1gkiQda1GZUxwZ2MlvO3WTF3hhAUC/Ii0WD2xKfmcf0dYcwSxIms8Rj94TzcKvwcu0CUNVqjK7bEFCpMJ3Zh+noZpt0daMO6Lo8hJQr22I8uRPz2f0ID1+cBowHoQKVGtPJnZhO7ylX14HLCbJtFqttnRo6tm3PORBQL8ibRYPbFaXlGow88OFmejQIY1a/lhXatv9EDIs/XY/FYmFwVHtGP9DLJj0hJZ0Xl31JTl4BZovElKH307llYzbuO8qan3cWyV28Ec+3i5+jQe1qFeosixcXvsXeA7/j6+PNT18u/8vlRCwYiV9US8wFBi5MWkbumat2Mu7N6tDgvQmonXWk7Yjm8pxPbdKrj7uf8HnDONBwFMZ0+SUW3h0aETF/JEKjpjA9h+gHXgGg3oIR+EW1wFxg4Pykj8hxoM+jWW0avTcelbOOtB0nuDhnTVFatdF9qTaqD5LJTNr2E1ye/5Vcx0Y1aLD0adTuLjQFPhkwF7PBaFNu73nDCO8eibGgkF9nrCDx7DU73UM+ex73QG9UGjU3f/+DzXM/RbJI9Jj9GHWjWmI2msi8nsSG51ZiyM532KZObdvgOflZUKnJ/3UjeV9+Y5Oui2yG56QJaMLDyZz3Kvrde4ttHzcGp/byGM1d8wX6nbsc6vDs1oJq854GtYq0b7aR9OEPNulCp6HWO1NxaRqOOSOHq+OXUngrGbW3B3VWvIBrZARp63Zya27xfc3n/k4ET3wYVCqydx4jbuFnDnXr2tyD+4SJoFKh/20j+Wu/tkl3eegRXPrfC2YzlsxMspcuxpKchCY8Ao8p0xCurmCxkPfVFxh2O7avND1eeZLa3ZtjKjCwafpKkkv1ncZZx4CPJuFVMxDJYiF2+wn2LfpWbqswP/q8MQZXXw/0mXlsnPwRuYnpDvW4dWlF8NwxCLWKjG+3krZinV27hr4xHZcmEZgzcrg1aRHGuGQ8B3TD/+kHi+ScGtTiyoDJGM5fqZR9CncvimOqAEC7HvdQrXY1Hus0jEYtGzL99cmMvf9ZO7lhk4aSkZbJ452HI4TA09sDgPfnfVQk8+DIQdRtElGmri5RHahZpzp92z5IZKsmvLTkBYb0G2Ujk5+Xz+AeTxQdf7/tM7Zt3A3AopfeLjo/dPQjNGxar1zbonp1oU6dmrRv2ZeWrSNZ/OZL9O85xEZGrVbz2qLZdGl7H+npmcx9ZQajxgzljUXL6Nj5Hvr0j6JHx4EUFhrx9/ctU5fZIvH65hMsH9qZIE9Xhq7eQdd6oYQHeBbJXE/L4ZMDf7BmRHc8XXSk5+kBCPBw4bOR3dFp1OQXmnhw+Va61gsl0MOlbOOEQNfjcQw/vI2Uk4Hz0DmYY08hpSfYiJkuHsW40/bLWsrLQr92EZhNoHXCedg8zLEnkfIcv6PQbLHw+qZolj/RlSBPF4au3k7X+qGEB3iVsu08a0b2sLHtNst2naVVzYCy7Smpz2xh4cfrWDl3AkG+3jw26w26tW5CePWQIpmVP2yld/sWPNqnM7E3E5jw+go2f9iYezu34d7ObQC4eD2eyUtW/S2nFGBQ/148/uAAZs8v+0dJRfhGtcCldghH2k3Es1Vd6i15muh+s+3k6i15moszVpB97CJNv56Nb4/mpO88CYBTqB8+XZuhv5lSJK/xdKXuoqc5/dgCDHGpqPy9AfCLao5L7WAOtZuMZ6u61F8ymmP9XrTTV3/JU5yfsZLsY5eI/Homfj2ak7bzJD4dGxPQtzVHuj+HVGhC6y+PY6FW0WjZs8RMWEZuzHVOBXtjMZpsygzvHolv7WA+6jqd0BYR9H1tJGsGvWyne/2E9ynMLQDgweWTaXhvW2I2HObqvrPsWvwtktlC95lD6DB+ALsWrbVvVJUKz2mTSZ/6HObkFPxXL8ew/yCma9eLRMxJSWQuXIzbY4/aZHVq3w5tvbqkjnwKodXh+8E7GA4fQcrPt9NR/bWxXHr8ZYwJadT/9Q2ytv2O/tLNIhG/Ib0wZeYS0/kZfAZ0Jmz2cK6OX4pkKCT+ja9wqV8T5/o1iuTV3h6EzRnBhf7TMKVnU/OtyXh0bAYpe+10e0yaQsbz07GkpODz4QoMhw5gvl5sn+nyJdLHjQGDAZf7B+I+5hmyX3sFyaAne9ECzHFxqPz88PloFYVHjyLl5dq3Ywlqd4/Ep1YwH3eZTkiLcHotGMFXA+fZyR1duZGbh86j0qp55JvZ1O7WjKu7T9P1xceJ+WE/577fR/UOjeg88xE2TXHwY06lImTeOK4PfxFjYip1fnybnB2HKbxc3K7eD/fBnJXL5R5P43lfFwJfGEncpMVk/7Kb7F92y/1YrybVV7ykOKX/I9yJqXy9EGLeP/HHv+S1m/8LdOrTkc3fbwUgJvo87l7u+AXaO2D9h/Tly/dlB0eSJLIysu1kogb1YPtPZf8q79GvCz9/9xsAp46fxdPLg4BAvzLla9aujq+/L8cOn7BLu3dwb377cWu5tvXp34Pv1v4MQPSxU3h6eRIYZOscCSEQQuDq5gqAu4cbiQnye+mHjxrC+2+vorBQjgalpjr+5Q9wNj6d6j7uVPNxR6tW0adxdXb/EW8js/7EVR5tE46niw4AXzdnALRqFTqNGoBCkxlJksq1C0AVXBspMwUpKxUsZkwXjqIOb15hPgAsZtkpBVBrQJT/vvOzcSVtU9OncQ1726Kv8GjrCDvbAGLi00nP09O+TlClqnf28nVqBAdQLcgfrVZD344t2XXsjI2MEJBXIDu/ufl6Anw87crZdOA4/Tq2qpTO8mjdvClenh5/qwz/vm1IWidHpbOPX0Lj6YYu0NtGRhfojcbdhexjFwFIWrcH/373FKVHvDqC2Fe/hBLjI3BwJ1J/O4IhLhUAY6p8XQb0bUPiur2V1CfPkCSu20tAP9mpDxvei2vv/4xUaLIp17dbM3JjbpAbIztHBZm5SBbb8VqvVytO/7APgPgTl3H2dMW9lG6gyClVadSotZois67uO4NkthTl9wxx/INQ27AB5lvxmOMTwGSiYPtOnDp1tJExJyZhir0CFovNeU2tmhSePAVmC5Jej+lyLE7t7qE0bs3rYriWSOGNJCSjiYxf9uHV21bOu3db0r+Xo/QZGw/ITiZgKTCQd/Q8FkOhjbxTzSD0V+IxpcttmrP/FN7929vp1jRoiCkuDkuCbJ9h106cOnSykTGePAEGg/z5fAyqAPn+Zr51C3NcnFyPtDQsmRmovL2oiIjerTj3w34AEk7E4uTphlupvjPpC7l56LxcttFM0tlruFv7yK9uGNf3nwPg5sEYIno5vv5cIutReD0e481EMJrI+nUvHj3b2ch49GxL1vodAGRv2o9b+0i7crzu70rWr+XP9pSFECLX+j9UCPF9ifPfCCFOCyGm/qWCqxghxAghROj/dz3uBH87YnqnX7VZEuW1m1VHQLA/yfHFEZiUhBT8g/1JSy52wtw93QB46vmRtGgfSdz1eN6e8z4ZqcXvPw4KCyS0ejDRB+ydyCKZ4EAS45OKjhPjkwkMCSQlOc2h/L2De7Pp521250OrBVOtRiiH9x0r17aQkCDi4xKLjhPiEwkJCSQ5qdhek8nEC9NeYdeBn8nPL+DKlevMmjEfgDoRtWjXoRWz5k7GYCjklReXcPLEWYe6krMLCPYsjnAGebpwJs7Wkb2eJkcrhn+6C4sk8UyXRnSMCJbbIiufiWsPcDM9lyk9m5YfLQWEuzdSTnH5Um4GqpDadnKaiJaow+phyUjCuPtbpNwMa34fnB6YhPAOwLj3+zKjpQDJOQUEe7mWb5t1Wnn4Jztk27o2pmNECBZJ4s1tp1gwqC1HriZRGZLSMwnyK/4yDPL15syl6zYy4x7px9j5H/L1pr0UGApZNXeCXTlbDkbz7vNPV0rnP41TiC+GuOJxbkhIwynEl8LkTFuZhBIy8bIMgF+f1hgS08mLsW0H1/BQhEZN8/XzULu7cGPVJhLX7cUpxAd9pfQV96MhPh2nEB9ruSF4t21A+KxHseiNXHrlS3JOxuIaHgqSRPO1s9H6ecKvhzm84lebOnkE+5IdX6w7OzEdjyAfckvovs2Qz18gtHk4sbtPceG3I3bpkY90JebXww7bVB3gjzk5uejYkpKCtpH9EhNHGC/H4jFyOLlr1yGcndC1bI7p2jU7OW2wH4XxqcX5EtJwbVGvlIxvsYzZgjknD7WPB+aMHIe6DdcScI4IQ1ctkMKEVLz6tEWl1WAobZ+/P5YUW/s0Dcu2z7lffwp/t29DTf0GCI0Wc3y8g1y2uAf7kFNiDOYkpuMe7EOeg74DcPJ0JbxnC6I/kZcRpcTcoF7/NkR/soW6fVvj5OGCs7c75GXY5NME+WFMKG5XU2IqLpH1bWWC/TAmWO/VZguWnHzUPp6YSwRFPO/tws1n5ldoV3lIkhQPPAQghAgGOkiSVPNvFVq1jADOAhV38F2Osvnp38ufjlSXV5ijYFnpiJ1arSYoNJAzR88yuu8znDsew4SXxtrIRA3swe6Ne7GUikz8WV0l6TeoFxvX20dF+z/Qmy0bdparS9Znr7C0Po1Gw/DRQ+jZZTCRDbpw/uwfTJo2Rk5Ta/Dy9qR/zyG8OncpK9e8bVdeUbkO9dsemyULN9JzWT2sK4seaMsrvx4nWy9HU4K9XFk3the/PNuXDaevk5ard1CiTekVVsJ85RQFH89C/8UrWG6cR9e3eNmElJuB/otX0H8yB3XjDuBadkTQoW2ljs0WSbZteHcWDW7HKxuOka0v5Lujl+kUEWLj2P4VSvflpv3HGdi9LdtXzOfDWc8w+/0vbMbD6UvXcNbpqFvjbgkkOBqLpUUcj1eVi46aUwZzdfG39qWq1XhE1uH0E69zeshr1J42GJc6IQ712Sl0qM+apFGj9XbjWL8XufzqlzRdNcWqT4V32wacG/8+xwe8RP2+ranVsXFFxZZ5na8dtph320xAo9NQq4NtOR2fHYjFZObsjwcc5i1DkWPZUhQePYbh8GH8l3+Az7y5GM/GFEVpbXU4yGzfcQ5kytZtzsrj5uzl1P7wOer98DqFt5Id6/4T5Tr17IW2Xn3yv7Nd8qDy9cVz1hyyly6qVNuIyoyb27JqFfe9P4HoT7eQdUN2IHcv+JpqbRvw5G+vUa1dQ3IS0rGYzQ4ylz9Lc7s25dXFJbI+Fr0Bw8Xr9nKAEGKMEOJYib8xZcjVEkLcjjhsBQKFECeFEJ2FEOFCiM1CiONCiH1CCPuNA8XlBAghfhBCHLX+dbSef08I8ZL1cx8hxF4hhEoIsUYIsdxa7kUhxH1WGbUQYqm1jNNCiLEldDwvhDgjhDglhFgkhHgIaA18Za2zixDiJWves0KIlcJ68xRC7BZCLBZC/G7V17mEvjes5Z4WQkwUQkQJIX4sobeXEGJ9WbbfKZQ1pv9S7kSk+oHhA7l/aH8ALpz8g8DQ4untgJAA0pJsI5hZGdkU5Bewd5M8xbPr1z3cO6SfjUzUwG68Pec9O12Pj3qIh54YBMDZEzEEhxZP5waHBpKSmGKXB6B+47poNBpiTl+wS+s3qBfzZy5xmG/kU48zdPhDAJyMPktoWHBRWkhoMIml9DVpKt9nrl+T1zb98tNmJk6Ro2zx8Yn8tkGO2J6IPoPFYsHPz4e0NNtf/yBHEROzC4qOk7ILCHC3jXoGebjStJovWrWKMB83avm5cyM9lyahxVOVgR4uhAd4En0jlV6Nyl4bKeVmIDyK8wl3n6JNTkXo84o+ms7sRdt5sH05eVlIqfGow+pivhTtUFeQhwuJWcVr75KyCwgoFdEN8nShaZif1TZ3avl5cCMtl1O30jhxI5Xvjl2moNCOMXRwAAAgAElEQVSE0WzBVathcs9mZdoW5OtNUlqxLUnpmQT42k7V/7jzMB/NGQdAZP3aGIwmMnLy8POSHezNB6Lp1+nvT+P/HVTOnrTesRSA7JOXcQorXrbiFOJHYalNIXKEtIRMqB+FiRm41ArGuUYgbXYuLTrfatsSovvOwpCQhjE9G0u+geBHu6H1cafFt7NJ33sG5zA/skroMyRmONDnW0KfL4VWGUN8Gskbf5frfiIWyWJB6+eBISGdjIMxRRuvYnedJLhJLfzCQ2kxpDsA8aev4BlabIdnsK/DaOltzAYjF7dFU693K67ul/2Dpg92JiKqBV89trDsfMkpqAMDi45VAQGYUx3Pvjgi9/OvyP1c3tDl/fKLmG/espMxJqShC/UvOtaG+GFMsu03Y6IsY0xMA7UKtYcb5kzH0dLbZG0/Stb2owD4Pd4bzBb7H3upKagCbO2zpKVSGm3LVrg9/iQZ0yaBsXgTmnB1xWvhYvI++RjTeftNn7dpPqwnzR6T+y7x9BU8SoxBj2BfcpMc913vRaPJuJZI9Mdbis7lJWXyy9h35Xq5OlGvXxsKcwpAa5vXlJiKNqS4XTXB/hhLfe/IMgGYrO2q8nC1aVfP+7qQvaHsaXxJklYCK8sUcMwA4FdJkpoDCCF2AM9IknRJCNEW+BDoUUbed4G3JUnaL4SoAWwBGgIzgaNCiH3Ae0B/SZIsVn+xFtAVCAd2CSEigGFAliRJbYQQTsABIcRWoAEwCGgrSVK+EMJXkqR0IcSzwAxJko5Z6/yBJEmvWj9/AdwHbLDWUSNJ0j1CiP7Ay0BPYAxQG2ghSZJJCOELZADLhBABkiSlACMB252Y/wBKxPQ/zI+f/cyo3mMZ1Xss+7YcoO9DvQFo1LIhudl5NtP4tzm47TAtOshrfFp1asm1ElOr1cOr4eHlwdlj9je/rz/5nsE9nmBwjyfYsWkPAx+RHeLIVk3Iyc4texr/gd5s/HGL3fla4TXw8vLg5NEzDnLBp6u/pmfnwfTsPJjNG3fwyBD5CQEtW0eSk51jM40PkJCQRL36Efj5yVOYXbp34NLFWAA2b9xBpy7yuqc64bXQarUOnVKAxqE+3EjPJS4jD6PZwpZzN+laL8RGpnv9UI5ek/Vn5Bu4np5LNW83krLz0RvlqEJ2QSEnb6ZRy6/8NY2WxGsI70CEpz+o1GgatMF85ZStkFvxmjJ1eHMs6fKyBuHuAxrrN4WTK6qwCCwZZU+zNw7ztdqWi9FsZsu5G3StZxuJ7F4/jKPXkkvYlkM1HzdeH9yOzVPuY9Pk+5jaK5L7ImuV65QCNI6owfWEFG4lpWE0mth8IJpurZvayAT7+3DkjLwW88qtRAqNRnw93eW2sVjYeugE/TpWvPv/n8Siz+ZY1HMci3qO1E1HCXq4KwCerepiysm3mVYHKEzOxJRbgGerugAEPdyV1M1HyTt/g4ONn+JwmwkcbjMBQ3wax3s9T2FKJqmbj+LVriFCrSJx7S4MSZmcenIJKZuOEvxwlwr1mXP1RfqCH+5CymbZWUrZdBTfTnIE06VOCCqtBmNaDmm7TuHeqCYqFx1CraJG24akXorj+OfbWN1/Nqv7z+bi1mM0e7AzAKEtIjDkFNg5plpXp6J1p0KtIqJ7c9Ji5ZnIOl2b0X7c/awb/SYmve36zJIYL1xAXT0MdUgwaDS49OyB4cDBynWOSoXwlH/saMLroAmvg+HoUTuxvFOXcKoVgq56IEKrwWdAZ7K2/W4jk7ntd3wfkn0Vn3s7knPgdIXqNX7ytan2ciNgWD9Sv7FfsmS6cAFNWDVUwbJ9Tt17YDhoGz3WRNTFc+p0subOQsos0cYaDV6vvIZ+6xYMe3eXW5eTn2/n835z+LzfHC5vOU7jB+V1rCEtwjHk5Ducxu844yGcPFzYOe9Lm/MuPu5F0dC2EwZw9lvHjmPB6YvoaoWhrRYEWg1e93Uhd4ftMoScHUfwGiw/dcWzXyfyDpVoVyHw7NeJrF9LbRi7gwgh3IEOwDohxElgBRBSTpaewAdW2V8ATyGEhyRJ+cDTwDbgA0mSYkvk+U6SJIskSZeAK8jOZ29gmLWcI4AfUNda/qfW8pAkqaxND92FEEeEEGeQneiSUxG3o57HKd7L0xNYLkmS6Xa5kjzF8QXwhBDCG2gPbCrH9juCEjFVAODQjiO069GWtQe+QF+g5/VpS4vSPtm6glG95VmEjxas5MX3ZjFp3gQy0zNZOLVYrufAHuz4ueJHkezZfoAuPTuw5ff16PP1zJ5cvDZo/c4vbXbj9x3Yk7GPTbEr497BffjtJ/ubuCO2b91DVK8uHD6xhYJ8PVMmFO+C3r5vPT07DyYpMYU3Fy/jx9++wGQycetmPJPHyXLffLmetz94jd0Hf6HQaGTS+Fll6tKoVMzs25xxX+/DIkkMjKxFRKAXH+4+R6MQH7rVD6VDeBCHriQx+KMtqIRgalQzvF2dOHQlibe2HUAgz9QNa1+PukEVbFSQLBTu+hqnB6eAEJjOHkBKi0fbYQCWxOuYr5xC26IH6jrNQTIj6fMo3Cz/4BW+wTh1fcSqTWA8tgUpNa582/q1ZNxXe2XbmteWbdt1lkahPnSrH0aH8GAOxSYx+MPNqFSCqT0j8XZ1qlQ/2elTq5k9+iHGLfgQs8XCoO7tiKgewrK1G2kUXoPubZoyY9ggXlmxli827kIgmD9haNF0//HzsQT5eVMtyL8CTZXjuZcXcfTEaTIzs4ka9ATjRz/Jg/f3+VNlpG+Pxi+qBW2PvI+5oJA/Ji8rSmu9YynHop4D4NILq2jw3gRUzjrSd5wkfUfZa7YB8i/Fkb7zJK13vQmShbivdpJ34SZ5F27iH9WC9kfexVJQSMzk4qdn3LNjMb9HvQDAhRdWWx8XpSVtx0nSdshPAIj/ZhcN3xlH2z1vYCk0ETPpQwBMWXncXP4rbTbLkcwzu09x2frUgNtc3nmS8O7NGb/3raLHRd3mqd8Wsrr/bHSuTjy8ehpqnRaVWsW1g+c4/qW80aXPq8PR6LQ8/qV8vcWduMymOZ/YG2+2kP3We/i+tQRUKgo2bsJ09Rruo0divPAHhgMH0Taoj8/C+QgPd5w7tsd99EhSnxwJGjV+y+TInpSfT+arC8DRdLrZws25K4n4ch5CrSLt2x3oL94kZPrj5J++TNa230lbu41a70yl0b7lmDNzuDqh+OkNjQ+uRO3hitBq8O7TlstD56G/dJNqrzyFS0N5TXjiu99iuBoPpR8yYjGT8/47eC9+A6FSUbDpN8zXr+E2YhTGPy5QeOgg7mOeQbi44PmS/IgwS3IyWXNn49StO9pmkQhPT5z79AUgZ8kiTLGXHQ8kK1d2nqR290ie2vcmxoJCNs8oDjgO27SAz/vNwT3Yl/aTBpF2KY5hv70GwInPtnFm7W6qt29I5xceRZIkbh35gx1z1zhWZLaQ+MpH1FgzH6FSkfn9NgyXbhAw5QkKzlwid8cRMr/bStibM4jYuQpzZg63JhfPkrne0wRjYqq8eeqfQwVk3o6eVlK+vSRJBQ7SmgJpQOm1RaXXScg3ZZgoSZJNZEYI0deBPKVknJGjuq0lSbppXcrnXELk9lJmM8V+4O2vntJ8ihxp1QPrbjuu/ySiMjt//78QQsyTJGne/3c9/tfoHBZVZZ2eaix/KutOk1FYtfqufmA/Lf5PIpXY5PFPI4KCKxa6g6iadqpY6E7qC61bZboONH6hynQBmKt4Muywc9XGOEZVr7r9HQnX7Z/08E9SrV7Zyx3+CT6/VL3KdPXXOp5p+idpFLux3IWsQohcSZLchRC1kKfvm5T8bJU5iDw9v866VrOZJEmnyijva+CEJElLrcfNJUk6KYSoiRwt7Qb8BoyVJOmIEGINEIg81V4b2APcnsrvDzwsSZJRCFEPiAM6Ay8BPUtN5W8A3pIkaZc1uvkHcjRUDRwGvpckaZ4QYjfWKX8hhD9wTJKkWkKIZ5CjpkNuT+XfjsZay24J9JIkqez1IHcIZSpfQUFBQUFBQaFshgKjhRCngHNA2W+PgUlAa+sGohjgGasz+zGyQxgPjAZWWyObIDuRe5CnyZ+RJEkPrAZigGjrpqwVyGtDNyMvEThmneafYS1jDbDces4ArALOAD8B9utT7FkN3ABOW+18vETaV8DNqnBKQZnKV1BQUFBQUPiPIkmSu/X/NaBJ6c/W46tA30qWlwo86iCpZwmZ48jT+reXHh2QJMnmeamSJFmA2da/0joWAYtKnfsBKPk6shetf6XzditV11rWzyZgmvWvNJ2QHd0qQXFMFRQUFBQUFBQU7BBCHAfygOlVpVNxTBUUFBQUFBQU/gRCiDnAw6VOr5MkacGfKUeSpBF3rFL/AJIkVfnz9hTHVEFBQUFBQUHhT2B1QP+UE6pQOZTNTwoKCgoKCgoKCncFimOqoKCgoKCgoKBwV6A4pgoKCgoKCgoKCncFyhrT/yBvi/Jfc3lH0XkQEJhbZerysgKqTBfA9hlXqlRf02D7d2T/UySW8ZrYfwq1OFul+vJMVXv763hucZXqq0p8W06tWOgOcupSUJXpquFetS/tuHLer2KhO0gHhy8o+mfINDpzRbhUmT6ARlWqTeFOoERMFf5RqtIpVVC4W/lfdkoVFCpLVTulCv9OFMdUQUFBQUFBQUHhrkBxTBUUFBQUFBQUFO4KFMdUQUFBQUFBQUHhrkBxTBUUFBQUFBQUFO4KFMdUQUFBQUFBQUHhrkBxTBUUFBQUFBQUFO4KFMdUQUFBQUFBQUHhrkBxTBUUFBQUFBQUFO4KlDc//Ufx7NaCGq88BWoVqd9sI3HZept0odNQ+50puDYLx5SRw5Vxb1B4Kxm1twfhK5/HLTKCtHU7ufHiKgBUzjrqrHgep5rBYLaQuf0oca9/4VC3c4c2+M4YD2oVuT9uInvNWpt0p5ZN8Zk+Hl3dOqTOeo38Hfts6+bmSugPn5C/az8Ziz+o0Fa3Lq0InjsGoVaR8e1W0lass7M19I3puDSJwJyRw61JizDGJeM5oBv+Tz9YXK8GtbgyYDKG8xW/7anxa8MJimqOuaCQk5M/IuvMNTuZBjMfodrDXdB6u7EpfGTRed92DWjy6jA8GtUg+pn3SPj193J1uXRoje/z40Elt2fWp9/apDu1bIrvc+PQ1a1DyswF5G+3b8+wHz8mf+cB0hc5bs+a80fj06Ml5gIDsVM/IP+MfRu4Na1D+DsTUTnryNgZzfW5H8v23NeeatMfxaVuNc72f4G807EAaHzcqbvyOdybR5B14Awu4WEIlYqUb7Y7HI913p2Ma1N5PMaOe4PCWykAhDw7GP8hPZEsFm7MXU32npMA1HrzWbx7tsaYmsW5qMnF7dW4FrUWPQM6JySTmYszVxP0UGf8omT7LkxaRu6Zq3b2uTerQ4P3JqB21pG2I5rLcz61Sa8+7n7C5w3jQMNRGNPltwV5d2hExPyRaLxDkSQz5qwEh+3riBcXvsXeA7/j6+PNT18ur3S+v8Kd0uXRtQXV5j2NUKtIW7uNpA9/sEkXOg01355a1I/XJiyl8FYyHp0jCZ05DKHVIBlNxC1YQ+7BMwD4DOhM0LMPgQTGpHSuTX4LEk0ANFwwHP+oFlgKDJyZ9BHZDq4zz2a1afreOFTOOlJ3nOD8nM/kujauSeOlT6Fy0iKZzMTM/ISsE7FovNxo+s5YXGsFYTYYSZv9FoaL1//yfQTAqX4tQl57FpW7K0gSVwdNQSo04nlvZ/zHPypfu7uPkrz40791ram93am7fDpO1QIw3Erh0tg3MGflofZwJeKDyehCAxAaFQnLfyHl2524Nq5F7dfHovZwRTJbuPXu96T9chCA2vNH4R3VEktBIZenvE+eg2vCrVkdIt55FpWzjswd0Vyd+wkANecOw6d3a6RCE/rriVye8gHm7Pwyx03r+U8S1qM5pgIDh6auJN1BP0a+8DB1Hu6EzsuNb+s+VXTeNcyPDu+MReflilCpOLHwW+J3nipTl8LdjxIx/S+iUlHjtbFcfPJVznWfiO/AzjjXrWYj4j+kF6asXM52GkfSql+oNnsYAJKhkPilX3Nr/hq7YpNW/MS5bs8S03ca7q0b4tm9pUPdvi9MJHnibOIfHI1b3+5oa9ewETElJJM2bwl5m3c6rL73uBEYjp+utK0h88ZxY9TLXO4zDq/7u6CLqG5b3sN9MGflcrnH06R9+hOBL8hOYvYvu7ly/0Su3D+RuOlvYLyVXCmnNDCqOe51gtnZfiqnZqyi6eLRDuUSt0azr9+LducL4lI5MXk5cT8eqJR9vrMmkjRhNnGDn5Lbs45te5oTk0l9aSl5mxy3p8+EEejLaU/vHi1xqR3CyY4TuPr8cuq8PsahXO1FY7ny/Eec7DgBl9oheHdvAUD+hRtcfGoJOYdjbOQteiO3ln7D9fmf49muMZeemM/Z7pPwG9TJfjw+1hNTVh5nOo0nadUGqs+Rx6Nz3Wr4DuzE2R6TuDj0VWouHAsq+baW+t1OLg591a6e1ecMJ/6t7zgW9RxXl3xL/beewaV2CEfaTeTijBXUW/K0Q/vqLXmaizNWcKTdRFxqh+Dbo3lRmlOoHz5dm6G/mVJ0TuPpSt1FT3Nm2GJMmbcwZyeV2caOGNS/F8vfeu1P5fmr3BFdKhXVXxtL7PBXOB/1LD4DOuNc1/Za83u0F+asXGK6PEPy6l8InTUcAFN6NrGjFnCh92SuT32Xmu9YX3GqVhE27ykuPfoiF/pMpuDCNQJG3AuAf1RzXGuHsK/dFM7OWEWjJU/hiEZLRnNuxir2tZuCa+0Q/K39Vv+loVx+4wcORs3k0pJ11J87FIDwyYPIPnudA91f4MyzHxI8d8zfuo+gVhH21gwS5i7jSr/xXH98JpLJjNrbg6CZo7j+5Gyu9BuPxt8bv3EP/61rLezZB8jef5pTnZ4le/9pwp4dDEDQiH4UXLzFmV7TiHnwJWq+NByh1WApMHBp0vuc7DaFmMfnU/vVUag9XfHu0RLnOiGc6PAssc99RJ1FjutRZ9EYYp9bzokOz+JcJwTvHnI9Mvee4mS3KZyKmoY+Np5qEwc7HjNAaI9IPGoH83PH6Rx5/mPueX2EQ7m4bdFs7v+y3fmmkwdyfcMRfuv9IvvHfVBmfoV/D4pj+h/ErXldDNcSKLyRhGQ0kf7zfrx7t7WR8e59D2nrdgGQsfEgHp2aAWApMJB79DwWg9FG3qIvJOeg/K5zyWgi/2wsuhD7dz7rmtTHdCseU1wCmEzkbdmNS7eONjLmhCSMl66CxWKfv2Fd1H4+FBw+VilbXSLrUXg9HuPNRDCayPp1Lx4929nIePRsS9b6HQBkb9qPW/tIu3K87u9K1q97KqUzuE8rbn4nRyUzoy+j9XTFKdDbTi4z+jKG5Ey78wU3U8k5fwMsUoW6nJrUx3QzHlNcYlF7unbrYCNjire2p2Rfnq5hXdS+3ugPHS9Th0+fe0j5fjcAudEXUXu5oQ30sZHRBvqg9nAh9/hFAFK+341PX3lM6S/HoY+NtyvXUmAg5/cL6IJ9MefkYygxHn363GNbh973kGodj+klxqNPn3tI/3k/UqGJwpvJGK4l4NairlzXIzGYMh2851ySUHvIr0bUeLqictGRtE7u2+zjl9B4uqEr1V+6QG807i5kH5PtS1q3B/9+xXWMeHUEsa9+adPGgYM7kfrbEQxxqVa99uO5PFo3b4qXp8efyvNXuRO6XJvXxXAtsei+krFhH169bfvRq3db0r6XfyBl/nYAj45yPxacu4opKR0A/cUbqJy0CJ0GhAAhULk6A6B2d8VolQvq25r4dXsByDru+DpzsvZb5rFLAMSv20tQv9ZyoiShsY4Dracr+qQMANzqhZG2T76X5V2ORxsWhFuXln/5PuLeuSX6C9cwXJAjjubMHLBY0FYPxnA1HnN6tqzrwEm8Bnb/W9eaT597SPlOzp/y3W58+t5TZKvKTbZV7eaMKTMXyWRGfyUB/VU5im9MysCYmoXWzwvfvm1IsV4TudHyNaEt1bbaQG/UHq7F9Vi3B1+rvqw9p8Asj/ec6IvoQu2/C25TvU8rrn6/H4DU6Fh0Xm64OLhfpkbHUuDgfokE2hL9WGDtx38DQohuQohf/7/rURmEEAOEEDOtn+cJIWb8U7oUx/Q/iC7El8KE1KLjwsQ0dCG+tjLBJWTMFszZ+Wh8KvfFpfZ0w7tnG7L320fhNAH+mBKTi47NySmoA8u+adkgBD5TnyHjnZWVkwc0QX4YS9hqSkxFG2SrTxPshzHBGukyW7Dk5KP28bSR8by3C9kbKueYOof4oo9PKzouSEjHuVT73inUgf6YEoujdKakVNSB/pXLLAS+08eS/vaqcsV0wb4UxpcYL/Fp6IIdjZe0cmXKQuPlhjlPX5w3IQ1tsG0faYP9iutQYjzK59Ns8lak98bLn1DtxeG0i/6I8JeHYbiViiGuuAxDQhpOpfrLKcQXQwn7DPHFMn59WmNITCcv5rpNHtfwUDRebjRfPw+NdxjCyb0SrfHvRVeyj7D2Y1DpfvTFWLIfc/JQl7qvePfvQMG5q0iFJjCZuTVnOQ23vkeTY5/iXLc6aWu3A3KfFJToN31CusN+0yekF8vEF8ucn/sZ9V8aStfoZdR/+QkuLvgGgJyYGwTfKztYXi3C0YYF4lyv5l++j+hqhYEkUePTV6n987v4jZGXBxVeT8CpTjW0YYGgVuHRqz0aH8+/da1p/b0xJsuOmTE5A62fFwCJn/6GS90wWp74mGY73+baS5/Y/VB1bx6B0GnQX0tEF+yLoUQ9DAlpdoEGXYjttWco49oLHBJFxs4Tdudv4xLsQ16JcvLi03EJ9ilTvjSn31xP7cEdeeDYe3T/4jmOzvm80nn/bQgh/t+WX0qS9IskSYuqQpfimP4HEELMFELMK3HGTsYumCYqIeMItYo6y6aR9MlGCm84mLp0UC6VKRfweGQABQeOYE5KqVi4PH32Qg7qVFwpl8j6WPQGDBev28tVVmelGu8v8Dd0eTwygPz9v1fcnpXR4bCdK2tzxeWXOWz+gv2Bw/pwc94nHG45jssvrcG9Uc2Ki3B4PUioXHTUnDKYq4u/tUsXajUekXU4/cTrmLISULv6gEpbbt3+1TgcApUYJyVEnOtVJ3TWMG7M+lA+oVHj/2RfLvSfytnWIyk4f42gCQ/al1GmvrJlaozoxYWXPmdPywlceOlzmrw9FoAr7/2MxsuNDjsWUWN0X/QxsUiVmL0oaxwLjRrX1o2Im/YG1x59Ho9e7XHrEIklO5eEl5ZR7b2Z1Fq7BOOtJMdD9w5ca97dWpB/7hrRLUZzutd0ai14CrW7S1G6NtCbuu9P4vKUD+Q6V+K6cnhnLVWNsMkPIpnNpP6wt8y6VUZXedQa1J4r3+3lx9aT2PXkUjq8P86mjYQQY4QQx0r8jSmR5iaE2CiEOCWEOCuEeFQI0UoIsUcIcVwIsUUIEWKVjRBCbLfKRgshwoXMUmveM0KIR62y3YQQu4UQ3wshLgghvhJWQ4UQfa3n9gODS9TlHiHEQSHECev/+tbzI4QQ64QQG4CtQogvhBADS+T7SggxoIy2HSGE+FkIsVkI8YcQ4mXr+VpCiLMl5Gbc9hGs9X7HWoezQoh7SpRltwlBCDFJCBEjhDgthFhbOv2voGx++m/gLEnSvNsHhQlp6EKKo2q6YD+Miek2GW7LGBPSQK1C7ekqT0FVQK3F49FfTSD54w0O003JKWiCA4uO1YEBmFPSHMqWxqlpI5xaNMXj4QEIFxd5o0S+nsz3V5eZx5SYiraErZpgf4xJaQ5kAjAlyraqPGxt9byv4mhprZG9qDG0BwCZJ6/gXGLqyiXEF33iPzO9ZE5KQRMcUHSsCfKvfHtGNsS5RVM8H7m/RHsWkPHex3g8OoCAAfcBkHvyMrrQEuMl1I/CUtNlhaUiKrpQPworabMpKxe1m3Nx3hC/oulam/JDS43HjByMCak204S6EPu6lcbv4e7oY+NpvWMpAGoPV5zCistwCvGjsNT1IEdIS8hY7XOpFYxzjUDa7FxadL7VtiVE952FISENY3o2lnwDSBYkYwHi/9g77/CoirYP37MtPaRXWghFmoQm0ksIIHYR7OCnKApKk44odooiIihFfK0v9goKBBCQ3rtAEmp675ut8/1xliSbbCBYIq+e+7q4yJ7zzPxm5szMPueZOWd1BqTZeRvMP4VL1+gShvBALJnO7WhJy0EfEYTFMda0Pl7lY00fFkjU8umcn7AQ8/l0ADxbRSl5Oz7brVZCn7iLbjf1oOBQEh6RgVxa3HUPD8BUpc+ZUp1XK9wjKmwihvUufxAq/YddtFmg+Cu2YiPHxlc8ANZv/1uUnUjCu3vFnuKrmUcs6dmU7jmGLU9Zsi/esg/31tGU7DhM8aY96COC8b9nEL4398SWnfeHxpolOx99iL8SLQ3xx5JTAEDwPf1IXaw8UGg6l47pQibuTSMpOZSI1tuDlp/MpHD3b0TPVZzz4sOJuEUEcWkWdDkm0nKcxp5beCDmSuM2eGgfAvp35Piw2VSl+cP9afpAXwByDp3BKyKQS7fHXhEBGDNcLNnXQPR9vdn0wDwAsvcnonXT4xbggylHaW8p5XKgpmW2QUCqlPJmACFEPeBn4HYpZZbD0XwFeAT4FJgjpfxWCOGOEti7C4gB2gFBwF4hxCUvvD3QGkgFtgPdhRD7gBVAPyARqHxHexLoJaW0CiH6A68Cl+7CugLXSylzhRC9gQnA947ydgNGXKaJbgDaAKWO8q0Bsi9jD+AlpewmhOgFvO9IXxPTgCgppUkIUX0Pxu9AjZj+Cyk5nIB7VDiGBiEIvY6A23uQH+/85Hd+/B4ChyoTh//N3SjafvSK+UZMvh+trxcXn19Zo435+Cl0DSLRRYSBTofXwD4Yt+yoVbmzn32NlJvvJ+WWB8lbuIziNfGXdZr5YWcAACAASURBVEoBjEdOY2gcib5+KOh11LulF8UbdzvZFG3cTb27YgHwvakHJTsrbUEQAt+belCwuuY7foBz/4lna//pbO0/nfS1+2gwrCcAfh2aYikqdbmX9M/AdPwUuobO7Vm6ZWet0mbPmEPyTQ+QPPgh8t5cTvHqDeQtUq5d0ec/cDTuGY7GPUPe2j0E390HAO8OzbEVlpYvF17CkpmHrbgM7w7NAQi+uw956y7/NoHyOlzIQOvr5dQf89bvdbLJX7+XIEd/DKjUH/PW7yXg9h4Igw5DgxDcosIpOZhwWT1LRh7G0xfYFzuZxNkfUpacRejQ3gD4dmyGtagUc5XrZc7Mx1psxLejsn81dGhvstfupeS3C+xoPZJdncewq/MYTKk57I+bgjkrn+y1e6l3Y0uEVgMIhM4daTPXqk3+Fyk9nIBbpXnF/9aeFFSZVwri9xB4t3ID5ze4O0U7lLGm9fUi+oNZpM79mJJ9J8vtzRm5uDdrgC5A2VojS8rIWbWeHbHTyPx5HxFDewFQr6PrcWbKzMdWXEa9jk0BiBjai4y1yv50U3oeAd1aARDQsw0lZxTnV+fridBrAaj/YD9K9x6jdPfR3z2PFG89gFuLxgh3N9Bq8LyhLaaEi0q9A+uR98kazj0wHVteEbkfr/5DYy1v/V6Chynpg4dVHDenZFGvp7KfVx9UD4/oCEwXMhB6HS3en0LWl5tJmvQuh+MmcThuErk/7yHYMSa8OyhjwlKlbS2Z+diLjXh3UMZE8NDe5K5Vxq1f3xgin7qD3x6eg91Yvc+f/mADP8XN5Ke4mSSv3U/U3T0ACOoQjbmw1PVe0hooSckhrEdrpd2bRqB105c7pbXgKNBfCDFXCNETaIDihMULIQ4BzwL1hRA+QKSU8lsAKWWZlLIU6AGsklLapJQZwBagsyPvPVLKZCmlHTgENAauA85KKROklBL4pFJZ6gFfOiKZb6I4tZeIl1LmOrS3AE2FECHAfcDXUkrrZeoYL6XMkVIagW8cZb4SqxxaWwHfKzicR4BPhRAPApcrR61RI6b/Rmx2LsxaQfNPnweNlpzPN1B2+iIRk+6j5HAiBfF7yf5sA1FvjafNtnex5ReRNPqN8uRtdy5H66NE2PwGduH0/bOxFRuJGDcMY8JFWq1dAEDmB2tg43fVtHPnvk3IkjnKK1J+WIvlzHnqPTEC84nTGLfuxNCqBcFvzEbj641Hr67Ue2IEaUNdP3Fbm7qmv/AuDT94CaHRkP9VPKaECwSPfxDj0QSKN+4m/4v1RL4xiaabVmDLLyJ53Lzy5J43tMGSnq089FBLMjccJCQ2hn67FmIzmjg0fln5uV4bXmNr/+kAtJx1P5F3dkPrYaD/gcVc+O8vnH79a+rFNKHz+xPR+3kRGteBFpOHsrn35BrrlztnMaHvvqa05/frsCSdx+/JEZhOnMa4ZSeG1s0JWXCpPW/E78nhpA5x/eS5K/I37scvtgMxO97B7niFzSXaxr/B0bhnADg7bVn5K2zyfzlA/qYDAPgP6kLjl0eiD/SlxcczKT1+lpP3vwRA+91L0Xp7IPRart/2DuaMXLI+WV/eH0sPJ5Ifv5eszzbQZNF42m57B2t+MWcc/bHs9EVyf9xBm1/eRtpsXJi5ovyhuSZLJuLTtTW6AF/a7VtByuufkf3ZRs5NfoeGLz5Kfa0Wu8nCiVELCb+vL112v43NaObUuCXl9eu0cT77YpW2T5i6gusWjUHjbiB34yFyN9a8bw6gNCGF3E2H6PTLG+j8QrCXFYKt9tHSyc/PYe/BI+TnFxJ7x4OMfvQhhtw6sNbpr4Y/RctmJ3nWcqI/nq28LurzjZSdvkjYxPspPZpIYfwecj6Pp9HCCbTauhRrfhHnnnodgKARgzE0Dids7DDCxg4DIOnB2Vgzcklb+DnNvnwVabVhTsnk/MRFAGRtOEhQbAy9dr+FzWji6LiKKGe3jXPYETsNgONTV9J20ZNo3Q1kbTxE9kbldWLHnllOy5dHIHRKPzg+Sdlr7d08krZvj0ba7BSfTiH92Tf+0DxiLywm9/3viPr2TUBSvHkfxZsVBy5s1ijcr1OiwlmLV1G4eiua5s1+91hLXfwNzZZOIvjeWMwp2ZwepbRv8sIviV74NNdvfBOE4MIrH2PNLSLorl743tgKvb8PIcOUG7+E8YvJ23gAv9gOdNi5BJvRROKEijHRLv51Dscpz70kTVtOM8frovI2HSwvR9QrI9EY9LT+7DlAeQDqzFTXQcuUjYeIiG3H7TvewGo0s3NChd3g+Ff4KW4mAO2fvZfGd3RD52Hgzn2LSFq1mSNvfMOBFz6ly+sjafnYICSwc8IylzqukFKeFkJ0BAYDrwHxwHEpZdfKdkIIX1fpqWFHgwNTpb9tVPhbNe1TeAn4RUp5pxCiMbC50rmSKrYfAw8A96JEcy9HVT2J4kBWDky6u7C53OfK3Az0Am4DZgkhWl/BUb4iQv5Ve9/+BIQQsysvQav8Pqq24776d9TZRQ8OKa4rKQBKCtzqVC+ppKb56q+hbdiVVmD+PNIz6+aJ8EtoRd3ORSXWursv7358bp1p/R0c6zChTvUyTB5XNvqTaOh95S1MfyaFxrqdw+yyNvvw/xzOiLq7bpd4MPWTGisohIgAcqWUZUKIO4DHgebAQ1LKnUIIPdBcSnlcCLELZSn/OyGEG6BF2QowCsWxDQD2AV1QIqOTpJS3OHQWO859BpwG+kopk4QQqwAfKeUtQohvgU+klF879ns+LKVsLIR4GOgkpXyqUrlDgT1AupTS+ZU6zvV7GGVLQBvACOxGcWQPA2lAC6AYJdK7Vko5WwixGTgppXxCCNEDeFdK2bZyORzlKwYWAA2llOccbZUMtJBS/qElQjViqqKioqKiovJvpC0wXwhhByzAkyjRxEWO/Zs6YCFwHHgIWCaEeNFhOxT4FmX/52GUqOIUKWW6EOI6V2IOB/hxYI0QIhvYRsX+zXnAh0KIiYDrl05X5JMhhPgN+O5ydg62oURYmwL/lVLuA3DUYzdwFmV/a2XyhBA7AF8uH5HVAp842koAb/5RpxRUx1RFRUVFRUXlX4iUch2wzsWpXi5sE1AeWqrKZMe/yrabqbQUXznaKaVcixJRrZr/TpRo7SVmOY5/AHxQ2VYI4Qk0w7EX9ApkVtavpLcIWFRDmq+llNOr2JeXo8pKdm32rF4V6sNPKioqKioqKir/Azie2D8JvC2lLPi7y/NXoEZMVVRUVFRUVFT+B5BSbgCcfndaCDEQqLqR/ayU8k6qRFtrkX+fP1K+PwPVMVVRUVFRUVFR+R/lMlsS/idRl/JVVFRUVFRUVFSuCVTHVEVFRUVFRUVF5ZpAdUxVVFRUVFRUVFSuCdQ9pv9CdFp7nWnl5XgSGFL1Ryv+OrT6uqsbgP2yP/zxF+jZ6k7PYq/b+1ZbnaqBrQ7vy7e2nk6v46/VmV5do9XU9birO4Tm2v0Rmv81mkgjiZq6f8m+yv8W/1jHVAgxjeo/s/VvpfHfJVyXTqmKyrXKP9kpVVGpLapTqlIb/rGOKeCu/pypguPnw1RUVFRUVFRUrmnUPaYqKioqKioqKirXBKpjqqKioqKioqKick2gOqYqKioqKioqKirXBKpjqqKioqKioqKick2gOqYqKioqKioqKirXBKpjqqKioqKioqKick2gOqYqKioqKioqKirXBP/k95iqXAGf3h2IfH4kQqsl57P1ZL77tdN5YdDRcMEEPNs2xZpXyPmn5mNOzsSzXTMavDbGYSRIX7iKgnW7AGi1bQW2EiPY7EibjZxHn6im6961M37PjAGNhpLvf6Low8+czru1b4vfxDHomzYhZ+bLGDdtLT+nDQ0h4Nln0IYGg4Ss8dOxpWVctp6ePToSOvMJ0Ggo+GotuSu+dK6nXk/Y3Gdwb90MW34hqRNfw5qSCXodYS88jXubZki7JPPVpRj3HK1V27Z9eTghsTHYjGYOjltKwdFz1WxaThtGg6E90ft5sSb6kfLj0aMG0+iBPtitdsw5hRycsBxjcrZLHY/unQic+iRCq6Hwm7UUrPzc6bx7x7YETnkCQ/MmZE55lZL4XwEwtGhC0KyxaLw8kXY7+ctXUbJuS431afLyIwTEtsduNHNq3GJKjp6tZuN9fROavzUGjbuB3I0HOfPs+wA0mnIvgYM6I+12LNmFnB63GHNGHvW6tabVB1Mou5AJQO5Pu7m44CsAol5+BH+HXkINel7XN6GZQy9v40HOOvQaP/cQ/nGdkBYrZefSSRi/BFthKcF39SRi9G0V6Vs1Yk//aRQfP0/zVx4mMLY9NqOJ38a+S5ELPZ/ro2i1aDQadwM5Gw9yeuYH5efqPzqI+o8MRFpt5Gw4SOJLnypt0qoh181/DJ1ffQCs+SlA7X5J6NlXF7B1+x4C/P347pOltUrze/mztLx7dyDyucdAqyH383iy3v3K6bww6GiwYCIebaKx5Rdx/ql5WJIzy8/rI4JpHr+EjIWryF7xLcJNT/TncxBueoRWS8HP28l487/l9q1eGUGw47odGfsuhS7Gme/1UbRb9CQadwNZGw9yYuaHAPi0akib+SPReblTejGLw08uxlpsJKhXW1o8ex8agw672Ur+6yso3XUYr54dCX12FEKrIf+LdeQsrzKPGHREzJuEe5um2PKLSBn3GpaUTHxv60PgyCHldm4tojh7x1hMv50heMJw6t0Zi9bXm1Mxik2jlx7Fv18HbEYTSRMWU3r0TLU6ebVtQvTCp5W+v+kA52etBEDr502zpc/gVj8YU3IWCaNex1ZQgraeF9ELnsKtUSjSZCFp4hKMpy7gHh1Bs3efKc/Xo3l9bEVGzBl5JI5/u8Zx13ThU2jcDeRvPMDZWcq4C7ylKw0m3YNHs0iODJ5GyeEkpV30OqLnjcKrXTTXSdj73Cdk7PzNKc/OLz5EZL8YbEYT2ycsJ/dY9esYM3Uo0Xf3wFDPi1XNR1aUJyKQ7m+NwuDridBoOPDa56RsOlwtvcr/DmrE9N+KRkP9l0ZxZsQLnOw/Bv/beuHWrIGTScA9cdgKivmt9yiyVv5A+LQRABhPnefUrRM5NXg8SSNmU//V0aCt6EqJ987k1ODxnL71Gaqh0eA/ZSxZ46aTPuwRPAf0QxfVyMnEmp5J7gvzKF23sVrygBemUvjxF6QPe4SMh0djz82/Yj1DnxtD8mOzOHvLKHxu7oMhuqGTSb27B2AvLObswEfJ+/A7gp9RnES/oYMAOHfbaJIfmUHI1MdAXPknQUNiY/BqEsbGrhM5POk92s19xKVd+voDbLlpVrXjBcfOsWXgs2zuN43U1XtoPeu+GusWNPMp0kfP5OLtj+F9Ux/0TZzrZk3LJGvW6xT/tMnpuCwzkTljHsl3Pk76EzMInPoEGh8vlzL+se3xaBLOvq5PkzBpKU3nPu7Sruncx0iYtIx9XZ/Go0k4/v3aA5D8zvcc6PcMB/tPJjd+Pw0nDq2o6+6THOw/mYP9J5c7pZf0DnR9msRJS4muQS967mMkTVrGAYeen0Mvf8sRDvaZwKF+z2A8k0b9sXcBkPXNrxzuP5nD/SeT8NTblF3Movj4eQJjY/CICmPnjeM4OWkFLeY96lKvxbyR/DZpOTtvHIdHVBiB/WKU8nZvTfCgTuzuO5ndvSdx/t0fARBaDa2WPMXJye9hzU/GWpBKbZ1SgDsGx7F0wcu1tv8j/ClaGg2RLz7B2YdnczpuDH639cKtaZU5ZdgAbAXFnOoziqyV3xM+7WGn8xGzRlK0eX/5Z2mycOb+mSTcNJbTg8fi07sDnu1bABAcG4NnVDhbbhzPsUkraDNvJK5oM+9Rjk5awZYbx+MZFU6w47q1XTCKUy+v4tc+U8j4aS9RY24FwJxbxL6H5vNrnykcHvsOEfOfAY2GsNmjuTjyOZJuegLfW3pjqFI3v7sHYissJqn/SHL/8y0hk5VxX/jDZs7e9jRnb3ua1ElvYEnJwPSb4mwW/bKbc0PGl+fh1bsTHlHhHOo+hrNTltLkNdd9P2rOKM5MeZdD3cfgERWOX1+l70c+dSeF245wuMdTFG47QuRTSt+PHDuEkuNnOdp/IonjFtH4RaVsZUmpHI6bxOG4SZyfuwokHBk0haTJ79JkjmvtJnMeJ2nyUg52ewr3SuOu9NQFTj46j8JdJ5zsQx/oD8DhfhPZcO9cOj13v9M8GtmvHb5RYXzX4xl2Tl1Jl9cedqmbHH+An25+vtrxtuNu59yPu1k98Fm2jl5Ml1ddp/+7EEI0FkIcq4XN/ZU+dxJCLPrrS3dtojqm/1I8Y5phOpeG+WIG0mIl78dfqRfXxcmmXlwXcr9WHJr8n7bj070dALLMDDbl16o1boar+a7F0Po6LBdTsKWkgdVKafwvePTu5mRjS8vAkngGpHPGuqhGCK0W0x7li0say5Am02X13K9vjuVCKpbkdLBYKfppC96xNzrZeMd2peC7DQAUrfsVz67KF5chuiGlOw8pZcotwFZYgnubZlesY/jAjlz8QolM5h1IRO/riVuIXzW7vAOJmDKrO9bZ209gM5oVm/0JuIcHuNRxa9sCy4VUrMnpYLVS8vMWvPo6t6U1NQPz6bPV2tJyPgXrhVSlblm52HLz0fjXc6kTOLAzmV9sBqDoQAI6X0/0VeqjD/FD6+1J0f7TAGR+sZnAQZ2V/IuN5XYaTzeu1GECKukV/w69/C2Hy/tn0f7TuIUHVtMIurMH6d9uByB4UGfSv1Si8oX7E9D5emGoomcI8UPn7UHhvgQA0r/cSvBNil7kiDjOvf090mwFwJJdqNSjz/UUn7hA8YnzSiby6n7hvVNMW+r5+lxVmt/Ln6HlGdMM8/mKOSX/x634DnCeU3wHdCHva+WGs+Cn7Xh3a1fp3I2YL6RjSrjglMZeWgaA0OkQOh3S0ZdDB3UixXHd8vcnonMxztwc1y3fcd1SvtxK6E2dAPBqGk6uI3KXveUoYTffAEDhsXOYMvIAKD6ZjHAz4NGxJebzqVguKvNI4Zqt+MR2ddLy7n8jBd8o80jh2m14dm1HVXxv6U3hjxUrE2WHTmHNyiv/7NP/RrK+2qxoHziNtp4X+hB/pzz0If5ofTwodvT9rK824z9IaWf/gTeQ5Rg7WV9sxn+QUiePZg0o3HZE0UxMwa1BCPog5/EeNmIgZRczMSVnOcadl+tx5+NZof3lFgIcGsaEFMqSUqvV2aN5ffK3KStNZTmFmAtLCWwXVX6+wcCOJH21DYDsA0kY6nnh4WK+zD6QhNHFfAmg91Z+6lTv60lpRp5Lm2ucxkC5Yyql3CelHPv3FefvRXVM/6XowwKxpFUsD1vSstGHBVa3SXXY2OzYikrQ+itfXp4xzWkRv5gW6xaRPPOdckdAAtGfvEjz1QsIvG9gNV1tcBC2jKzyz7aMLLTBQbUrc8P62ItKCJw3m9BPllJv7OOguXwX1oUGYUmr0LOmZ6MLda6nLiQQa1pFPe1FpWj9fDGdOot3bFfQatBHhuLeuim68OArltM93B9jam75Z2NaLh7h/pdJUTMN7+9LZg3LUrqQIKzpleqWkYU2tLoTdiXc2rRA6PVYL6a5PG8ID8SUmlP+2ZyWW83ZcwsPxJRWYWNKy8VQyabRtPu4Yf9SQob05Py8iu0Gvh2b037j67T+70w8WtR3qWeqQc+c5lwmgwsHNPS+fuRtOlDteNDt3cj4docjL3/KUirr5eBW5WbALTwAU1rFNTWl5uLmuKae0eH4dbmOTj+/TIdvn8cnJtpxPAKkJOazGej8ItF4uHb8/ynoQyvNF4AlLQd9lf7oZFM+p/giPNwIfmIIGW+tqp6xRkOzn96i1f6PKdp2EOMhxSlyDw9wum5labnVbuLcwwMoq3TdylIrbIpPJhMyqCMA4bd2wSOyev8Ju6ULphNJ6AL9KuYIwOJqHgkNxHJpPNrs2ItL0fr7Otn43tyLwtU1b5nRhQZhrtSG5tQcDGHOdTKEBTj3/Uo2+iA/LJmKY2bJzEMfqPS50hPnCLhJuSH3immKW/3gauPFq2Uj8jZWjBVTWk41G0N4IOZU57FStXxVKT1xnoCBnUGrwbtBMIFtG+MVUZGvZ5g/pZXyLE3LxTOs9vPl4Te+ocld3RmybxGxH01mz7Mf1TotlEcrTwohPhRCHBFCfCWE8BRCxAohDgohjgoh3hdCuDnszwkh5goh9jj+NXUc/0AIcXelfItr0PpVCHHA8e9SJGEO0FMIcUgIMUEI0UcIsdqRJkAI8Z2jbLuEENc7js92lGuzEOKMEOIf48iqjum/gzIhxGznQy6WpKtE1VwuWztMSg+d5lTcU5y+7RlCRt+NcNMDkHDXVE7fPIEzI14gaPhg3Nq3vaJsNd2a0Gpxa9+G/LeWkTFiNLrIcLxuqe78XpGqci7qKZEUfL0OS3o2jb5aRPCMURgP/gZW25Xzd5XfVUSVL1F/SHf82kWR+M7qGnRcHLtKIW1QAMGvTiFr1us1pnW5e6FaX7m8zfk5q9jT8Qkyv/6V8EeULRLFR86wp9OTHIydROrKn2j5n6k15iWvUg+g/ri7kFYbWV//6nTcu30z7EYTJScv1pxZLcbCJROh06L382LfTc+S+OIntF2hLM0KrQa/LtdxfPTbWPNTEQYvhN7dRcH/IbicL2ozp0jCJjxA9srvy6OjTtjtJAwex29d/w/Pds1xa96wuk15VlfuJ5dsjoxfSqP/G0j39a+i9fbA7oh4X8K7RX1azLqftOferimjKlW7vI17uxbYjSZMCedrLH/txppLoxrzBEhd/A1aP2/axr9B2CODKTl2FmmriOALvQ59cD0Kt1dZca5aR1eZX2HKyVi1EXNaDu3WzqPzCw+SuS8BWXkedTm2aj+PNb6jK0lfbuXrTmPZOHw+PRY96ZSnEOJxIcS+Sv9c7VFoASyXUl4PFAITgQ+Ae6SUbVGex3mykn2hlPIGYDGwsNaFhUwgTkrZAbgHuLRcPw34VUoZI6V8s0qaF4CDjrLNACp73tcBA4EbgOeFEPqrKMs1i/rw078AKeWcqscs6dnowysilfrwICwZuc42adnoI4KwpOeAVoPWxwtbfpGTjSkxGbuxDPfmjTAeTcSaqeRhzSmgYN0u3Ftfh+lgxQNDtsxs5cElB9rQYGzZOdQGW2YW5lOJyjYAwLh5O4a2reCHn2tMY83IRl8pyqkLC8KamVPNRhcehDUjG7QaND6e2B31zJqzvNyu4ao3MJ+vvlQFEPV/cTR6oC8AeYfO4BFREUXwCA+gLP3qlpeCe7ah+bg72HbXS9W+MJ3KHVapbqHB2DJzXdq6Qnh5ErbkJfIWf4DpyEmnc7733krI7bcAUHQoCbdKEQ5DeACmdGcdU2qOU1TTLTwAc3r1smR9+yutP5nBhflfOC3xuzcMxa1+EDGbF1C07zRuEYEUXSYvU6pzNMdQxSZ4WG/84zpyfOgL1coQfEd3yi5kcsPGuQAUHkrCPTKQgnK9QExVrpdSv4pr6hYRgNlhY0rNIXPNHiWvg0lIux19oA+mtFzydpzAklsESKS5FKFzQ1pcOF//ACzpynxxCX14IJYq/fGSTdU5xTOmOfUGdyN8+sNofb2Qdok0mcn5aE15WnthCXajiSYfv0h4VhH5jut2CffwgGrXrXKEFMA9osKmJDGVvfe8CoBXk3BC4to75dXxP89w5Kkl+F1IRxfgh67yfBkWVD7XOdUtLBiro24ab0+n+VKJlm6u1m7+D9yCcHcj6oe3MR5JwFCpDQ0RgZirLE2bq0QyDRGB5X3Rkp2PPsRfiZaG+GPJUXq1rdjImQmLy9O0370U04UMQh8eRMj9cWh9PbHkFKL1qrhxcgsPrD7u0nIwRAQ622RcYc6x2Tn3/AcAJGo8GPT9cwS2i6LdJOVhr5xDZ/CsHEEND8CYcYVnByrR7N7ebHhwHgDZ+xPRuulxD/ChLEfZUiOlXA4sv0wWABellNsdf38CzALOSilPO459CIyhwgldVen/qo7k5dADi4UQMYANaF6LND2AIQBSyk1CiEAhxKXllzVSShNgEkJkAqFA8lWU55pEjZj+Syk9nIBbVASGBqEIvQ7/W3tSGL/byaZwwx4ChvQDwG9wd4p2KHuUDA1Cyx920kcG494kEnNyBhoPNzReyl4fjYcbPr1isCSdc8rTfOIk+oaRaCPCQKfDM64vxq07alVm84lTaHx80PgpY9K9c3usZ2uOPgCUHT2NvlEE+shQ0OvwGdyb4k27nGyKN+2i3h3KBn2fgT0p3aUsnQt3N4SHGwCe3dojrTbMSc773y5x9j/xbO4/g839Z5C+dh8NhvUEwL9DUyxFRpd7SWuiXptGtJv/KLtHvIHZsV/RFaZjp9A3ikQXqbSl1029Kdm8s3YiOh1hC5+n6McNlKz/tdrpws9+LH8oKWftHkKG9QHAp0MzbEWlWKrUx5KZj63EiE8HZQ9uyLA+5KzbC4B7VFi5XeDAzhgTUwDQB1fsIys6lIglM59DfSaSW0nPu0MzrJfR866kl+vQ8+sbQ/2n7uC3EXOxO/bqliMEgbd25eys/7Andip7YqeS9fNewob2AsC3o6JnrqJnzszHVlyGb0dFL2xoL7LWKnpZP+8loEdrADyahKPR67DkFJHzy2G8WzVC42FQpPXuSGuV8vyDKD2cgKFxBPr6ypzid2svCuP3ONkUxu/Gf0gsAPUGd6fYMackDZvGyR4jOdljJNnv/0Dmki/J+WgN2gBfNL7KQ3nCzYDW25Pk6UvYFjuNjJ/3Eem4bn4dm2ItKq02zkyZ+ViLy/Dr2BSAyKG9yFi7DwBDkGOZXQiiJ9zJhQ+V/aE6X086fTqVU6+sIm+v4pcYj54urxt6Hb4396JoY5V5ZONu6t2lzCO+g3pQuutIxUkh8L2pJ4VrtlKVvE9XI8tMnL3taYo37CT47j4AeHdojq2wtHxp3YIUCgAAIABJREFU/hKWzDxsxWV4d1B8muC7+5C3TmnnvPV7CXaMneBhFce1vp4IvRKHCrm/P4W7TmArNpLxwVoOx02i+EACOT/uIHhob4d2zePOXlwx7oKH9ibXMQ5qQuNhQOOYR8N7tkFa7Rya/zWrB8xk9YCZXFi3n+i7ewAQ1CEaS2FpjXtJXVGSkkO4Y/zVaxqB1k1f7pReBVe7piVd/G3F4VMJJXxucJFuApABtAM61WBTlcuFyCs/ZGHjHxJs/EdUQuV3YLOT/Nwymnw0G6HVkPvFBsoSLhI28X5KjyRSuGEPOZ/H0+jNibTcsgxrfhHnn5oPgFenlkSNngUWK1JKkp9dii2vCEODUKKWz1Dy12nJ/34L1p17q+nmzXub4EVzEVoNxT/8jPXMeXxHPYz5t1OUbd2JoVULAue9gMbXG/ceXak3agTp9zwKdjv5by0j+J3XQYDlZALF367hstjsZL70LvVXvgwaLQVfr8eceIHApx+i7NhpSn7ZTcFX6wifN5modSuxFRSRNlEJMGsD69HgvVeQdjvWjBzSpr5eq6bN2HCI0NgY+u96E5vRxMHxy8rP9dnwKpv7K23UatZ91L+zG1oPAwMOvM35/27m1Otf0/q5B9B6udN5hbJlqDQlhz0j3nBZt+xXFxO29FWEVkPRt+uwJJ3Hf8xwTMdPU7p5F26tmxP61vNofHzw7H0j/qMfIvnOx/Ee1Bv3jm3R+Pnic/sAALKenY/5VPVX0+RtOEBAbAc67VqM3Wji9Ph3ys+13zCfg/0nA5A4dUX566LyNh0kb+NBAKJmPohH0wiwS8qSs0icogQvgm69kfARyiuW7GVmTj2xsFzPP7YDHRx6iZX02m2Yz2GH3pmpK2jq0MuvpNfk1UfRGPS0/lx540Hx/gSSpiqavl1bYU7LwXQhE9ACkLPhIEGx7em6+y3sRjMnxr1brnfDxrnsiVW2GJyc+p7jdVF6cjYeImej8mBc6qpfaLnwSbpseR272cqJsUp5rQUlXFy6ms5rX0XnF4rdXIq0VESJr8Tk5+ew9+AR8vMLib3jQUY/+hBDbv0dW1fqSstmJ/W5pTT56AXQasj7YgOmhAuETngA49EECjfsIfeLeBosmEiLzcuw5Rdz4el5l81SHxJAgzfGg0aD0GjIX7ONok17AS+yNhwkJDaG3rvfwm40cWRcxWuuemycw7bYaQAcn7qS68tfF3WILMd1i7izO43+T+n76T/tIXnVZgAaPToQz6hQmk68i6YT78KgtXHh4WdJf+FdGrz/svK6qK+UeSRo3IOUHU2geNNu8r9cR8Trk4je8J7yuqgJc8vL49m5Ddb0bOXhqUqETHkE31v7IDzcaPrrR+R/sY6yCxnE7HgHu+N1UZdoG/8GR+OUN52cnbas/HVR+b8cIN+xjzp18Tc0WzqJ4HtjMadkc3qUMmd5NKtP9FtjwW7HeDqZpGeWlOer8TBQr1c7Dtw4mobT76fDziXYjCYSJ1TYtIt/ncNxkwBImracZo7XReVtOliuHXDTDUS9PBJ9oC8tP55ByfFz/HbfS+gD69Fq1SyklBSk57NtbMX4AkjZeIjIfu24c/sbWI1mdkysCG7esv4VVg+YCUCHmfcSdWc3dB4GhuxbROJ/N3N4wTfse/FTus4fScvHBoGE7ROW8TtoKIToKqXcCdwHbABGCSGaSikTgYeAypuD70HZF3oPcCkacA7oCHwB3I4SHa1KPSBZSmkXQozg0iQERUBNTx9uBR4AXhJC9AGypZSFLreO/EMQV7OXo64RQsyWUs6u67T/dA41uq3OLnpgSEldSQFQWlSbG9A/j5P5v++hpt9L22DX7zP9K0jJ8r2y0Z9IXS/flEntlY3+JHodf63OtP4Ofus0rk71ko2uX232VxDle9XRtz9EQUnd7kO2y7pzcBI1HnWmdYnhKZ9ctoJCiMbATygOYDcgAcUR7Qq8jhLA2ws8KaU0CSHOAf8BBqNMW/dJKROFEKHA945jG4GnpZTejvxXSynbCCGaAV8DpcAvlWz0wFogCGVv60FgkpTyFiFEgEMvypHucSnlEcdzI8VSytcd9TgG3CKlPPdH2utaQI2YqqioqKioqPybsUspq/4azEagvStjYImU0mkDu5QyA6j8LsLpjuPngDaOvxOA613YWIDYKhqbHedyUSKwTlQNvEkp29RQ1v851D2mKioqKioqKioq1wRqxFRFRUVFRUXlX0nliGYt7Rv/ZYVRAdSIqYqKioqKioqKyjWC6piqqKioqKioqKhcE6iOqYqKioqKioqKyjWB6piqqKioqKioqKhcE6iOqYqKioqKioqKyjWB+lT+v5Aj1jp8cXqqL3cMyqgzOV9z3f7k46ENdfvrG79lBl7Z6E+iY4u0OtMCWHwhok71POrwxeK7Os5isCyuMz2txl5nWgAt971Vp3rmmIl1prXDGFBnWgD9gutuvgTIz/OsM622FHHAXtMPHKmoKKgRU5W/lLp0SlVUrlXq0ilVUblWUZ1SldqgOqYqKioqKioqKirXBKpjqqKioqKioqKick2gOqYqKioqKioqKirXBKpjqqKioqKioqKick2gOqYqKioqKioqKirXBKpjqqKioqKioqKick2gOqYqKioqKioqKirXBKpjqqKioqKioqKick2g/vKTSjmdX3yIyH4x2Iwmtk9YTu6xc9VsYqYOJfruHhjqebGq+cjy416RgXRb8DjuAT6Y8kvYNvZdStNyXepo23TC/b7RCKHB/OvPmH/+3Om8vvctGPrdBnY70mSk7MM3saddKD8vAoLxfmklph8+wrzuqyvWS9e2M+4PjQGNBsvmnzCt/szpvKHfLRj6367olRkxvv8m9tTz6Np0xH3YSNDpwGrF+NkybCcOXVEPoP1LwwmPbYfNaGbP+GXkHT1XzabttKE0vrsnej8vvmn6qNO5Brd2ofWkISAl+ccvsGvMklrpArR6ZQQhsTHYjGYOj32XQhfaLaYPI3JoL/R+Xqxr8n+1zrsyhhtuwHfsU6DRYlyzhpJP/+t03nPYUDxvuRlps2HPz6dgzjzsGVf/gws3Pz+c5n1jsBjNfD1pKWnHq9dn+IdT8QnxQ6PVcn7vSX6c9R+kXQJw44gBdBk+ALvNzulNB1k3Z9Vl9QbMHk5033ZYjGZWT1pGuotxcO+HU/AO8UOj03JxzynWOvT6zbiPZrEdsFms5J/P4MfJyzEVlpan8+ndnvqzH0NoNeR8Fk/GO1875SsMOhq9OQHPttFY84o4N2Y+5uRMfHq2I2LacIReh7RYSXnlA4p3HAXA/7aehD51N0iwZORybtwCKCgAwLt3ByKfewy0GnI/jyfr3a+q6TVYMBGPNtHY8os4/9Q8LMmZ5ef1EcE0j19CxsJVZK/4FuGmJ/rzOQg3PUKrpeDn7WS86Xzda8Ozry5g6/Y9BPj78d0nS686PYBvn/Y0fGEkaDVkr4onfck31eoWtXA8ntcrbXnmydcxJ2ei9fMhevkUvNo1JefLTVx4dgUAGncDTZZNwa1RGNjs5G/YS8prH9eof+OLD9GgXwxWo4mtE5aTU6WfaN0NxC4bi0+jEKTNzoUNB9n3mjLXhXVpQZfZDxHQsgG/jFnMuTV7L1tXj26dCJg6GqHRUPTtzxS87zxnundoS8CUJzE0a0Lm1Fco3fArALrwEEIWPA8aLUKvpXDV9xR9udqlxu/tm57tmtFgzmjFRgjS3vyMgnW7AGg4/2l8YzthzSngZNzYa6ItVa591IipCgCR/drhGxXGdz2eYefUlXR57WGXdsnxB/jp5uerHe/43P0kfbWNH+NmcGTht7SfPsy1kNDg8cDTlL45g+JZI9F36YsmvKGTiWX3Jkqef5ySF57A/PMXuN/zhNN593ufxHqslpOP0OA+Yiwl86dTPPUR9F37oYlo5GRi3rGJ4hmPUfzsKExrPsf9AUXPXlRAyYJnKZ7xGKXL5+I5anqtJMP7tcOnSRg/dXuGfZNX0nGOa8cvdf1B4gc/V+24d1QoLZ++jY23zWZtn6kcfK7mL8eqBMfG4BUVxuYbJ3B00grazHvUpV3G+gNsH/RsrfOthkaD74Rx5E2eSvbwEbjH9kPbyLldrQkJZD82ipz/e5SyzVvweXLUVcs07xNDYFQYb/aZyHcz3uO2Vx5xaff5mEUsuWk6bw+YgleAL21uvhGAqK6taBnXicU3TePtAVPYtmLNZfWi+7YjICqMd3s/w0/TVzLoZdfX7psxb/PeTTNYHjcVz0AfWt7cBYCzvx5j+YCpvDdoOjln0+k2+raKRBoNDV4eRdKIF/gt9in8b+uJe7MGTvkG3hOHraCYE72eIPO9H4iYPgIAa24hSY+8wskB4zg/4S0aLZygJNBqiJw9koR7nuXkwHEYT54j+OGby/UiX3yCsw/P5nTcGPxu64VbU2e9gGEDsBUUc6rPKLJWfk/4tIedzkfMGknR5v3ln6XJwpn7Z5Jw01hODx6LT+8OeLZvcdk2dcUdg+NYuuDlq05XjkZDw5dHcfqhFzne92kCbu+Je7P6TiZB98ZhLSjmWI8nyVjxA/VnDHfUwUzq/P+S/NIH1bLNWPYdx/s8xYlBE/Hu1BLfvh1cytd3zJdf9niGbVNX0q2G+fLosjV83WcK3w2aSWin5tTvez0AxSk5bJ24jKTvdtSqroEzniZj9AyS7xyJ16C+6Js4z5nW9EyyZs2n+OdNzsezckkdPp7Ue54g9YGnqfd/96ANdvGzxn+gbxpPnefULc9w6qYJJA5/gQavPQlaxbXI+XIjScNfuGz16rQtVf4nuNYd0zIhxOzf8w9o/DeX/X+KBgM7kvTVNgCyDyRhqOeFR4hfNbvsA0kYM/OrHfdrFkn6tuMApG8/QYMBHV3qaJu0wJ6ZisxOB5sVy57N6Np3czYqq4gw4eYOyPKPuvbdsGelYU85V6t6aaOvw56RgsxKU/R2/YK+Y816ws29XM5+PhGZn6P8nXwO9AbQ6a+oGTmoI+e+VCIWOQcS0ft64u6iLXMOJFLmoi2bPNCPxA/isRQo5TLlFNamqgCEDupIikM7f7+i7eZCO39/IiYX2rVF3/I6bCkp2NLSwGqlbOMm3Ht0d7IxHzwEJhMAlhMn0AYHX7VOywEdOfSNUp/kg4m4+3jiHVy9PqZiIwAanRatXoeUykW84YH+bH33B2xmKwAlV2jL5nEdOfK1opd6MBF3X0+8XbSfuZqecvzsr0eRNnt5et/wit9Z94xphulcOuYLGUiLlbwff6XegBuc8q03oAs5XynORf5P2/Hprnz5Go+fxZqhrECUnb6Axk2PMOhACBACjac7AFpvTywOO8+YZpjPp2G+qOjl/7gV3wFdnPR8B3Qh7+uNABT8tB3vbu0qnbsR84V0TAkXnNLYS8sAEDodQlfR1ldDp5i21PP9/T9P6RXTDNO5tPK2zP1+G35V6uY34AZyvvwFgLw1O/DpobSl3WiieO9v2E0WJ3t7mZmiHccAkBYrpceSMIS7cOKARgM6kuiYL7MOJGHwrT5f2srMpO34TcnbYiPn2Dm8HP2hODmbvN8ulkf1L4dbmxZYLqZiTUkHq5WStZvx7OM8h1lTM7AknIWq+VmtYFHqKQx6hMb1V/4f6ZuyzAyOPq9x01eerinZcwJb/uV/jrcu2/JaQwhxRW9aCDFeCOFZC7tzQoigP6dkfy/X9FK+lHLO703rcE5VaolnmD+lqTnln0vTcvEM83fphLoi78QFGg7uzMmV62h4UycMPh64+XsDzku3wi8Ie25W+WeZl4026rpq+en73obbgCGg01E6f4py0OCO4aZ7KH1jKm4Dh9aqXMI/CFlJz56bhTa6ZTU7Q//bMQy6G6HTUfLapGrndZ17YT+fAFZLtXNV8QgLcGpLY1ouHuH+Lp1QV/hEhwEQ+/3zCK2GY298TfovR2qV1j08AGNKhXZZWi7u4QF/yAl1hSYoGFtmRbvasrLQt2pVo73HzTdj2r3nqnV8Qv0pSK3YElKYnotvmD/FWdXrM+KjadRvF83pzYc4/tNuAIKahNHohhb0nzwMq8nC2lc+JeXImZr1wgIorHTtCtNz8Qn1p9hF+9370VQiYqJJ2nyYkw69yrQb1psTq3eVfzaEBWJOzS7/bE7LwSumuVMafVgAlks2Nju2ohK0/j7Y8orKbfwGd8N4/CzS4Wwnz1xKy/WLsBvLMJ1N4+Kzy9AC+tDAirwAS1oOnlX1KtuU6/liLzMR/MQQzj44i+DH73SumEZDs9VvYmgUTs7HazAeOu2iJf9aDOEBmNMqtWV6Dt7tmznbhFWysdmxFZai8/fBWqkta0Lr64Vf/85krHS97O0Z5k9JlfnS6zLzpcHXkwb923N85doralcrS0gQtvRKYy0zG7e21efMGtOHBhO2+GV0DSLIfXMFtqycajZ/tG96xjSn4etPY4gM5vz4heWOam2oy7b8PQghdFJK61+Rt5Sy25WtGA98ApReyfCfwjXtmP6ZCCGmAe5/dzn+TqSUs2s8KYQr+1rnve+l/3LDyyNoOqwnGbtOUZKWi91qq5WO0y22A8svP2D55Qd0XfpiuOV+yt6fj9sdwzGv/xpMZbUuFy7lquuZN3yPecP36Lv2w+32BzEun1t+ThPZCPd7HqN03pQ/VbMmNFotPk1C2TTkZTzDA+j33XOs7TsVS+GV5yXhQvz3RLRqIVSdGnTc4+LQt2hB7thxVy/jqr/UUJ0Ph89B56Zn6MIxNOnWmqRtx9BotXj4erHsjueIbBfNvUvG8kbP8ZfRcyFXQ70+Gz4XrZueO94aTeNurTm77Vj5ue5P3Y7dauPYt9srZe4ik6p5X6G+7s0bEDF9OIkPzlYO6LQEPTSIk4MnYD6fTv0XHyd0zBCyl3xeU2VqoScJm/AA2Su/L4+OOmG3kzB4HBpfLxovm4Fb84bVbf5yXPXzqia1sHGFVkOTJRPJeH8N5gsZgHd19auYL4VWQ58lYzjx/jqKLmS5tLksf3ButmVkkTJ0FNrgQEIXzqYkfiv23CpO3x/sm6WHTnOy/9O4Na1PowXjKNy8H2m68k28ku1f25ZCiMeBxysdWi6lXF7p/CzgAeAikA3sB24BdgDdgR+EEF8B7wPBQBbwf1LKC0KIocDzgA0okFL2EkK0Bv4DGFBWpYdIKRNqKFuxlNJbCNEHmO3Qb+Mow4PA00AE8IsQIltK2VcI8S7QGfAAvpJSPl8lTw/gW+BrKeUKIcSDwFhHeXYDo6WULr6crx3+NY4p4H5Zx+xfSIsR/Wn2QF8Acg6dwTOiYtnKMzwAY0bto2zGjHy2PPYWADpPNxre3BlLkbGanczLQhNQsaQr/IOw51e/g7+Edc9mPB4cRxnz0UZdh75jTxj6GMLTG6QdabFg2fR9jellbjaikp4mILh8ed4Vll2/4PHwOC6VXPgH4TnuRYzL5mDPTKsxXdOH42jiaMvcw85t6REegDG99m1ZmpZLzv5EpNVGycUsipJS8YkKI/ew60hfo/+Lo8GD/QAoOHQGj8hA8hzn3MMDMKXnuUz3R7BnZaENqWhXbXAw9uzsanaGjh3xHv4guU+PK19SvBJdHoqj031KW6YcPkO9iIrlcN+wAAozaq6P1WTh5Ib9tIzrRNK2YxSk53Ji3V5HXklIu8QzwIfS3IqoWcfhcbS/V9FLPXIG30rXzjcswGW09BI2k4XT8QdoPqBjuWPadkhPmsa259P7XnWyNaflYIioWGkzhAdiyXR+QNCSloM+IghLeg5oNWh9vLDlK2XVhwUStXw65ycsxHw+HQDPVlFK3o7Peau3ETp6CNmAJT0bfSU9vSs9h01VPc+Y5tQb3I3w6Q+j9fVC2iXSZCbno4o9uvbCEop3HcWnt+ttO38l5rQcDOGV2jIsEEt6rksbS5qjbr6e5W15ORrPHU3Z2TQyV/7odLzliP60uF/pJ9mHz+BVZb4srWG+7DH3UQrPpnN85bpa168ytowstGGVxlpIELbMmuewGvPJysGcdB73Dm3LH466xB/tm5cwJSZjLzXh3qIRxiOJNZalLtvS4YQud3VOCNEJGAK0R/GHDqA4hQB+UsreDrsfgY+klB8KIR4BFgF3AM8BA6WUKUKIS/sPngDeklJ+KoQwANpaFrU90BpIBbYD3aWUi4QQE4G+UspLE+xMKWWuEEILbBRCXC+lvLSk5g185ijrR0KIlsA9jrwsQoh3UJzwj2pZpr+Fa32PqcpfyKkPN7B6wExWD5jJhXX7ib67BwBBHaKxFJbWehkfUJbtHXe+bZ6+jcTPtri0s509hSY0EhEUBlod+hv6YD2008lGExJZ/rfu+i7YM1MAKJ07keKpD1E89SHM8d9gWrPqsk4pgO3MSbRhkYhgh96NfbEccN7WowmtpBdzI7Z0RQ9PL7wmvUrZF+9hSzh+WZ3ED+JZHzeD9XEzSPl5H42H9gQgsENTLEXGWi/jA6Ss3UdId2W7gSHAG58m4RRfyKzR/vx/4tkWO51tsdPJ+HkfkQ5tv45NsRaV/unL+ACWk6fQ1q+PNjwMdDrcY/th2u7crrpmTfGdNJG86TOw59e+DLs/jmfJ4BksGTyDE+v3EXOXUp/67ZtiKjJWW8Y3eLqV7zvVaDU07xtDVlIqAL+t30eTrq0BCIwKQ6vXOTmlAPs/iue9wTN4b/AMTq/fx/VDFL2IS3pV2k/v6Va+71RoNTTtG0OOQ69J7+vp+uStfPnoG1jLzE7pSg8n4BYVjqFBCEKvw//WnhTEO29vKIjfQ+Ddyk2G3+DuFO1Qvm+0vl5EfzCL1LkfU7LvZLm9OSMX92YN0AX4AuDbMwZTYnK5nqFxBPr6oQi9Dr9be1FYRa8wfjf+Q2IBqDe4O8UOvaRh0zjZYyQne4wk+/0fyFzyJTkfrUEb4IvG10upu5sBn+4xmJKSqWtKDifgXqktA27vQX6VuuXH7yFwqOL8+N/cjaLtR6+Yb8Tk+9H6enHx+ZXVzv324Qa+GziT7wbO5Pza/TR1zJfBHaKxFLmeLztOvhu9rwe7nv/k91QTANPxU+gbRqKLVMaa16A+lG7ZeeWEKE6scDMAoPHxxj2mNZZzF6vZ/ZG+aWgQUv6wkz4yGPfoSMwXL//2jb+rLV3QA/heSmmUUhYBle9GKr/6oCtw6fUTHzvSgeJAfiCEeIwKB3QnMEMIMRVoJKWsHqFxzR4pZbKU0g4coubnZIYJIQ4AB1Ec2cp7qL4H/iOlvOR4xgIdgb1CiEOOz01qWZ6/jX9TxFTlMqRsPERkv3bcuf0NrEYzOyZW3GDesv4VVg+YCUCHmfcSdWc3dB4GhuxbROJ/N3N4wTeEdmtJh+n3gJRk7DrF7pkfuBay2yn7dDGeE15DaDSYt63Dnnoet9tHYDt3Guvhnehjb0fXsj3YbMjSIowr5/3+itntGD96G6/Jc5XXRW39GXvKedzuehjb2VNYD+7EEHcHutYdwGZFlhSXL+O7xd2BJjQC9zsehDseBKBk3lRk4eWdrLSNhwiPjeHmnQuwGs3s+X/2zjs8ymLtw/fsJpse0kijJwGkN6U3CU1RDxb0ADZERUCRpiCIYkFQEVFBARXLURRRRI9ICV2k9yIlIZSQ3nvZMt8f7ybZTTYhqETOx9zXxcXuO8/Mb+bd5508O20nLS1LGxj1BhsHzACg7YvDaWS9l3ce/IDYFVs5+c5qkrYeI7hPGwZvfwtptnDktRWUZFa/gaCUlE2HqRvZnr57F2IuLObYs+XaPTfPZWekdrLATbNGEHpPd/RuBvodXkTc11uJnv9DVcVWxmwmZ+F7+M5/G3Q6Cn9dh+nCBTwfG4XxzBmKf9+F19ixCDc3fF7RduWaU5LJemFmzTWAs1uP0OzW9kze/i4lhcWsfq68PeN/fYPFt8/A2d2FBz+ZgpPBGaHXEbvrJPu/3gTAoe+2cfdbY3hmw5uYjSZ+mPJRtXoxW44Qfmt7xu1YUHZcVCmP//oGn9w+A4O7C8M+mYze4IxOr+PCrpMc/ErbQDTo1UdwMjgz4ivtPscfjmHdzOXWe2bh8qxlhP9ntnYkz8rNFJ2NI3jyCAqOx5ATtY/0lVE0WjiJljuWYMrK5cLT8wEIeOR2DI1DCJ5wP8ETtBMvzj04G1NyBokLV9J01RtIk5mS+BQuTn6/TC/hpSWEffkK6HVkfreJ4uhLBE0aSeHxaHI27SPjuygaLJhM821LMWflcemZ6p8150A/GrwzEXQ6hE5H1tqd5G7ZjzbrWHOee3ke+w8fIysrh8ihDzJu9EPce+egmhdgtnBp1sc0+1o7Cil95SaKzsYROnU4+UdjyI7aT9q3m2jy3kRa7/wIc1Yu58a9U5a9ze5l6L3ctIB9UBfOjpiNOa+Q0GfvpzA6jpbrFwCQ8vla+GZPJfm4LUeo368dw3ZqX0B+s+kvh26Yw5pBM3EP8aP9s0PJio5n6HrtBII/Po/i7DfbCGgXRv9PJmKo407DAR3oOPleVkdOr7Kt6XMXEfzRXNDpyF2zAeO5i/iMe4SSk2cp2L4bQ6tmBL07G523J+59umIe9zDx9zyBc1hD/KeMQUqJEILsL1ZhjLngUOPP+qbHLS0JG3cv0mgCiyRu5pKyNdGNP5iCZ7fWOPl602rvp+S98yNnKwxa1Oq9rIyjRQyl5FeTJgGklE8JIboAQ4AjQoj2UsoVQoi91msbhBCPSym3VFNWKcU2r804iM+EEE2AqcAtUspMIcTn2C9R/B24TQixQmrrIQTwhZSyZkfKXCeIa7L+7DpACDHbduq+4vsbmS/rPVhrH/rQwVd/buVfQZbUfNH938H6TcG1qudpqb32dWpe9dKFa8GiS6G1qucmq/ub9Pdyu6zZF4u/C72udp+DFgfeq1W9o+0n156WgzWm15J+/rXbZ2ZlXnHD99/GIcufP4nhzzL68ldVPuhCiFuApUB3tEDwIPAx2hpIcYJfAAAgAElEQVTTqVLKA1a7n4FVUsr/CCEeBf4lpbxbCBEupTxntTkMjAJygPNSSimEWAhckFIurELfdo3pVCnlHdbri4ADUsrPhRDHgbuklOeFEO3QpuE7oK13PQZMs9pdAG4GZgEGKeVYIURLtFHUHlLKFCGEH+Alpbz45+5m7aCm8hUKhUKhUNxwSCn3Az8DR4HVwAEg24HpBGCUEOIY8BBQupPzbSHEcSHECWCHtZwHgBPWqfOb+OvrOZcB64QQW6WUR9Gm8E+ibcb63YH9RMBVCPGWlPIP4EVgo7XuUUDIX6zPNUdN5SsUCoVCobhRmS+lnG09K3QH8I6U8mNbAynlBaBfxYxSynsclDfX+u+KSCk9rf9vA7bZXH/a5vUHwAc27x+toqzGNm9H2Vxfif162eseFZgqFAqFQqG4UVlmnfJ2RVuPeeifrtCNjgpMFQqFQqFQ3JBIKUdcy/KFEP7AZgdJkVLKqz/36wZABaYKhUKhUCgU1wBr8Nn+n67H/xJq85NCoVAoFAqF4rpABaYKhUKhUCgUiusCFZgqFAqFQqFQKK4L1BrTGxA3S+39qMKGXwPJ0tfeQeaetdg2gK6BVf9U6P86xXm12z08GVC7B4s7u9buIfRHo4NqTat2WwYltXjgPUC7IwtqTStw8BO1pgWwO752f7TD12KuNa0GmCgWtff3QPG/iRoxVVxTajMoVSiuV2ozKFUorldUUKqoCSowVSgUCoVCoVBcF6jAVKFQKBQKhUJxXaACU4VCoVAoFArFdYEKTBUKhUKhUCgU1wUqMFUoFAqFQqFQXBeowFShUCgUCoVCcV2gAlOFQqFQKBQKxXWBCkwVCoVCoVAoFNcF6pefFGW0f+1hQiLbYSosYf/EpWQdv1DJpvX0YTS6rxcGHw9+jBhddr3R/b1p99JwChMzAYj5bCPnV2yrUqvbqw/RoF97TIXFbJ+0jPQT9lp6VwP9l07Au1Eg0mzh4qbD7J+7EoA2T9xG8+F9sZjNFKXnsmPKMvLi06ttW8fXHia0XzvMhSXsmbSUTAdtazttGI2H9cJQx4Pvm462S2twZxfaTLkXpCTzj0vsHr+4Si237jfjN20cQqcj98d1ZC9faZfu2rENfs+PxdA0jJRpcyjY9BsATiGBBC54GXR6hLOenG9+InfVL9W2q7b1XLvfgt/UcaDXkffjOnI+/9Yu3aVjG3ynjMPQNIy0F16nYPNvdunCw53QH5ZTsHUnmW8uumLbXLvdgu/U8aDTkb/mV3K+qKDXoQ2+U8bjHBFG2szXKdy8oyytwd6NGGPOA2BKTiFt8qwr6rl0uQXvZ58GnZ6CX9aS/9U3dumGdm3xnjAep/Bwsma/StG2cj2vsU/i0q0rAHmf/4eiLVsdarSY8wgBkR2wFBZzfMJH5DjwRe+2TWjz/lh0rgbSNh/m1MwvNI1WjWj19uPoXJyRJjN/TF9O9uFzONXxoM3CMbg3DsJcbOTYxCXknb4MQMs5j1A3sgPmwmKOVaPXzqqXuvkwf5TqtWxI67cfx8nDlYK4VI6OXYQpr5CA3m1o/uJwdAYnLCUmkuZ8Ru6u43j37UDDVx4HvY60b6JIWrzaTkcYnGiycCLubcMxZeYSO3Y+JZdT0Pt4Eb7seTzaRZC+aguXXvwYAJ2rgbClz+PSKBjMFrI27Sd+7n+u+DlW5MU3FrDj9334+fqw5qslV52/IrXtlwAdrP2zubCEfRMd92Ftpg+j8X29cPbxYHVE5T6s1VStD8s6eYk9Dvqw5ja+cmLCR+Q60PBq24TW749Fb/WVMza+2cLGN09NX07O4XPUHdyJiGn3Iy0Si9nCyVlfkrHvjF2ZrV5/hKDI9pgLSzjy7EdkO9C9afr91B/WG2cfD9aFjyq77tf1Jlq/+jBeLRty6Kn3SfxlXw3upuJ6RgWmCgCC+7XDMyyYdd2n4Ncxgo7zRrFlyMuV7BI2HiZmeRS37XqnUlrcT3s4bO2kqqNBv3bUaRLMdz2nENgxnJ5zH+WnO2dXsju2dC2Ju06hc9Yz5NsZ1L+1LZe3HiPt5AX+uH0W5qISWjwUSeeZw9kyruogJ6RfO7yaBPNLjyn4d4zg5rmjiLqjctviow5z9rMo7vjdvm2eTYJo9cxdRP1rNsbsAlz8vatunE6H/4xnSBozDVNyGqErFlGwbTfG2EtlJqakFFJnvU2dR4bZZTWlZpDw8EQwGhFurtT74WMKtu3GnFpN0F2bejodftOeIWXcNEzJqYR8tZjC7bswnrfRSkwhffZbeD90v8MifMY+SvHBY1W3p4Ke77QJpIx/HnNyKsFffkjBjt2Yzl+0a5umN6xSdllcQtLIMTXTsup5T36WjEnPYU5JJeCTJRTv3IXpQrmeOTmZrDfexGP4A3ZZXbp1xblZU9JGPY5wNuC3aCHFe/YiCwrs7AIi2+PeJITfuk6kTqcIWr71OHtue7FSVVq+NZqTUz8m60A0nVZMJ6Bfe9K2HKH5SyOJmf8DaVuOEBDZnuazRrLvnlcJf3YoOScucnjUAjwiQmk57zH23fc6da1627tOxKdTBK3fepxdDvRavzWa41a9m1dMp26/9qRuOUKbBWM4/cpXZOw+Rf3hfWky/k6i3/yOkoxcDjz0NsXJmXjeVJ+uK1/gWOcnaPj6GM6OeBljYjot1r5N1sZ9FEVfLm//vwdgys7jRM+x+N7Vk/ozHiZ23HxkcQkJb6/ArXlD3G5qaFe35KVryN11AuHsRLNvX8X71o41/0ytDL19ACPuvYsZr82/6ryVqG2/xNqHhQXza3etD+s0bxSbquifo5dHcfuuyn1Yi2fuYvNdVfdhAZHt8WgSwk4b39xbhW/+MfVjsg9E09HGN5u+NJJYG99sNmskB+55lYwdJ9i9/iAAhpaNuHnZBLb2mlpWXmBkezzDgtnSbRI+HSNo8+Zodt5eOVhP2niI88s30m/3u3bXC+PTOPzsEsLHDanZzVRc96ipfAUAoYM7cXGVNrqVcSgGg7c7roE+lewyDsVQlJL1l7QaDexE9Pc7AUg5dA6DtwduFbTMRSUk7joFgMVoJu3EBTxC/ABI3HUKc1GJNX9M2fWqqD+oExe+19qWfigGQx3HbUuvom0RI/tx9vMojNlakFGcnlOllkvr5hjjEjDFJ4HJRP76bbj37W5nY0pIxhh9HizSPrPJBEYjAMLgjNBd+fGsTT1D6+aYLidgik/UtDZsw61vDzsbc2KpVuVfaze0aIre35fCPQeu2C4AQ6ubMMXFY7bqFWzcinsf+7aZE5MxxsQiK7btT+Dc4ibMlxMwJ2h6hZu24NKzQvuSkjGdi63UPqfGjSg5chTMFmRREaaYc7h07VxJI2jwzSSs0kbPsg/G4OztjksFX3QJ9MHJ042sA9EAJKzaQdBtN2uJUuLk5abV19udomRthsKjWT3SfzsBQH5MAm4N6mKoW4egwTcTb9XLOhiDUw304m30PCJCyNitPYdp248TPERrU86JCxRbtfNOX0bn4oznLTdRfCGRkkvJSKOJjJ924jOwi52Wz8DOpK/SRpIz1+7Cq2dbACyFxeTtP4Wl2GhnbykqIXeX1i5pNFFw4hyGEP9K9/VK3Ny+DXW8va46nyNq2y8B6g3uxIVV5X2YcxX9c1V9WNjIfsRcoQ+rW8E3nbzdMVTQMFh9JdvGN+va+Kbe6ptO3u5l/mEuKC7L7+TugqxwS4IHdSLuO61tWYccPxOlacUO2lYYl0buqUuV+7frBCFEYyHEiRrYjLB5f7MQ4v1rWKfZQoipV7a8qjJ/FUL4WP+N+ytlqcBUAYBbsB8FCeUjZQWJGbiF+F5VGfWG3MKAzXPp9vGzuIVWHSx6BPuSZ6OVn5iBR3DVWgZvdxr270DCzpOV0poP78PlrUerrZdbsB/5tm1LyMC9Gr2KeIUF4x0WQv+fXmbAf18hpG/bKm31gQGYk1LL3ptT0nAKCqixlj6oLvVWLaXBhhVkfbay+tHSWtZzqhuAKSnFRisVfWANgwQh8J30FJkLl9W8boEBmJPL22ZKSUUfWPO2CYOBoC8/JOizD3Dr0+OK9vq6AZhTyttnSU1FX7dmesaYc7h06QIuLog63hg6tkcfWLeSnUuIH4U2y06KEjNwqfDFyiXEj6LEjHKbhHKbU7O+oPlLI+lzaDHNX36Qs3O0pQa5f1wqCxrrdAjHrX4AriF+uIb4UVRBz7WCnqsDvVKbvNOXCRzcCYCQO7vgVq/y5x18RxcKTpzHOaAOJYlpZddLktIxVNAyBPuV25gtmHMKcPKtWcCo9/bAp/8t5Oys4Yj7NaK2/RIq98+FV9k/e4UH4xkWQuRPL9P/l1cIvrVyH/ZXfeXMrC9o9tJIeh9aTLOXHyR6TvkymMDbbqHHznfo/NXzHJ20tHKZFdpWUfcGoDFQFphKKQ9IKSf8c9W5eqSUt0spswAf4C8Fpmoq3wFCiOmA6z9dj78bKeXsqtKEcGhf47ITow4Rt2YXlhITYQ9H0vm9p9g+7I2rEXNsqtfRb/F4Ti7fQO6lVLu0iHt6ENA2jF/ue736yv3Ftgm9Hs8mQWy+93XcQ/zo/+NL/NpvGsacAgfGlcWuRsucnEr8sDHo6/oTtHA2+VE7sGRUM0Jdm3oOP7ea6XjdfxeFv++1+4P+p7iKtiXcMRxzWjr6eiEEfTQfY0ysNtpbFVfhlxUp2X+A4hbNCViyCEtWFsYTfyDNlUeNHVJRw0E1Sm0aPjqA0y99SfLafQTf1ZXW747hwLA5xL7/Ey1ef4Tum+eReyqOnOMXkCZzFXJX1iu1OTZxCS3nPErTyfeSvOEglhKTnZ1n8/o0nzWC2JEv49467IpNc+yvDqtpj15H2OLJJC9fS8ml5BpkqGWupV9CtT5RE3R6PV5hQWyx9mH91rzE+lur6MPsJGrum/UfHcCZl74kZe0+gu7qSqt3x3Bw2BwAUtbtJ2Xdfjy6taD5tGHsud/mb8NfeO5qghDiSeBJm0vLpJTLbNIbA+uBvUAH4CzwMNANmI8WJ+0Hxkopi4UQF4CVwK3WIkZIKWOEEJ8Dv0gpv7eWmyel9KxQl8bAfwAP66WnpZS7gHlACyHEEeAL4DAwVUp5hxDCD1gOhAEFwJNSymNCiNlAQ+v1hsBCKWWVo6xCiJnWdsUBqcBB6/VwYDFQ11r+E1LK09b25AA3A8HA81LK74UQIdb2e1vvzVgp5W/W+3KztS3h1rZEWfN+L6X8yar3NbBSSvlzVXVVgaljXKsL4v6/EP7oAMJGas9WxtFY3EP9Kf3e6h7iR1FSzafsSzLzyl7HfrWFtjP/bZfe8pH+3DRC00o9GotnqD+lf148QvzIT3as1evN0WSfT+LEpxvsrof2bEX7Z+7il/vmVPpjCdD00QGEW9uWfiQWj1B/Ssdy3EP9KKxCzxEFiRmkH4pBmszkx6WScy4BrybBZByNrWRrTk5FH1w+UqYPDMCcUv2opyPMqemUnLuIa8c2ZZuVHNrVop4pJRWn4EAbrbpXHNEtxaVNS1w6tMFr2F0INzeEsxOyoIisDz6puk4paeiDytvmdBV6AOY0zdYcn0jRwaM439S02gBAGwEub5+ubt2yMmpC3pdfk/fl1wD4vPwi5jhtbaX7PUPpPvBfAGQfOYdbPX9Kvc81xI/ipEy7cooT7EeMXEPLbULv71O2ESrp5z20XqD9vTXnFXJiorapp+GogYT8qxvtFj9N1qFoXG1GOR3pFVWjlx+TwP4HtCDCIyyEwAEd7Mrq9NkUjj29GOeLSTj518EQUj5yaAj2x5hUProGUJKYjiEkAGNiOuh16L3dMWflVn9jgcZvjqPofCIpn/73irbXmtryywgH/XMpbiF+FF5F/1yQmEH6wfI+LNfah/l1CKfpyL4A5Bw596d8pcjGN0s3QiX/vIdWC56kIhl7TuPROIjw8XdS725t+UPWkVhcK7StqILuX8EahF5pqqY5MFpK+bsQYjkwGRgDREopzwohvgTGAgut9jlSys5CiIet1+6oYXVSgAFSyiIhRFPgG7RgbjrWQBRACNHXJs8rwGEp5VAhRD/gS6C9Ne0mtADZCzgjhPhISmm/HkYrrxPwb7TA2wk4hDUwRbs3T0kpo4UQXYAPgX7WtBCgp1XnZ+B7tJHdDVLKOUIIPeBeQW460FpK2d6q3QeYBPwkhKgDdAceqe4mqan8G5hzn0cRNWAGUQNmEL/uAI2G9QLAr2MExtzCq1pLarveKXRQJ3KiE+zS//hiE6sHzWT1oJlcWH+Qpvf1BCCwYzgluQUUOtC6+bn7MHi7sfvlr+yu+7dqRK95j7HxsQUUVbHeM/rzKNYPmMH6ATOIX3+AxvdpbfPvGIEx5+raFr/+AEHdWwBg8PPEKzyEvEspDm2LT57BuWE9nOoFg5MTHoP7UrB9d4109IEBCBcDADovT1zbt8J4Ia7aPLWpV3LyDE4N6uEUatUa1JfC7btqpJX24lzih4wg/o4HyVy4lLy1UdUGpQAlf5zGuUE99FY994G3UrijZnrCyxOcnbW21fHGpV0rjLEXq81jPH0afYN66EM0Pbf+/Sj+vWZ66HQIb21DiVN4GE7hYRTv3w9Aweo17Iqczq7I6aSsO0DosN4A1OkUgTG3oNK6ueKULMx5RdTpFAFA6LDeJK/X1uUWJ2Xi170lAH69WpMfm6RpersjnPUAWIwmEtbsYuetz5O87gD1rHo+nSIwVaFnyivCx6pXz0bPEGDdJCME4ZPu5tIXm8r0bv56GmfmfEPm/rMA5B+NxrVJCIYGgQhnJ/z+1ZOsKPsd0llR+/AfpgVbvkO6k/v78Sve2tDnRqD39iDu5U+vaFsb1JZfxnwexcYBM9ho7Z8bD7Ppw66yf45ff4DAHjZ9WJjWh8V8HsWeyOnsceCbptwCSipolFh9xdY3U21809fGNwusvunWOKgsf502jRHOTpxb/F929H+BHf1fIGn9ARrcr7XNp6PjZ6IWiJNS/m59/RUQCZyXUp61XvsC6G1j/43N/92uQscZ+FgIcRxYBbSsQZ6eaKOsSCm3AP7WAA9grZSyWEqZhhb0BlVRRi/gRyllgZQyBy3IRAjhiRYorrKOcC5FC0ZLWSOltEgp/7Apez8wyjpi20ZKWe03SynldiBCCBEIDAd+kFJWHk2yQY2YKgBI2nyEkMj23LZ7AebCEvbbrAMaEPUGUQNmANDmxeE0vLs7ejcDQw5+wPkVW/njndVEPD6I0IEdkSYzJVn57J9Y9ZEscVuO0KBfOx7Y+Q6mohK2Ty7/MnvPhjmsHjQTjxA/Ojw7lMzoeO5Zr03Vn/w8ijPfbKPLi8Nx8nCl/xJtCU5efDobH1tQpV6CtW137NLattembYOj3mC9tW3tXxxOo6HdcXIz8K8DH3Dum62ceGc1iduOEdynDbdvewtptnDktRV2I8R2mC2kz11E8EdzQacjd80GjOcu4jPuEUpOnqVg+24MrZoR9O5sdN6euPfpinncw8Tf8wTOYQ3xnzIGKSVCCLK/WIUx5kL1H1xt6pktZLz5AYGL54FOR97P6zHGXqTOU49Q8sdZCnfsxtCyOXXf0bTcenejzlOPkDjs8erbUJ3e2x8Q+MGboNeR//M6TW/Mo5ScOlOmF/D2K5per26Yn3yEpAdG49ykIX4zJmkbInSCnC++tds1XZVezoL38VvwFuh0FK5dh+n8BTxHj8J4+gzFv+/C+abm+L7xGsLLE9ce3fAcPYq0h0aBkx7/xe8BIAsKyHp1DjiYyk/ddJiAyPb03vse5sJijj9b/px03zyPXZHTATg57VPalB3Jc4S0zUcAODFlGS1efwThpMdSbOTkVO1YJc9m9WjzwTik2ULe2XiOWX08ddNhAiPb02fve1gKizlmo9dz8zx22ui1LTsu6gipVr3Qu3vQaNRAAJJ+3cflb7YB0Gj0INybBBEx+R4iJt+Dk5CcHTGbS7M+ptnX2hFk6Ss3UXQ2jtCpw8k/GkN21H7Svt1Ek/cm0nrnR5izcjk3rnz3eJvdy9B7aaPpPoO6cHbEbMx5hYQ+ez+F0XG0XK894ymfr62B89jz3Mvz2H/4GFlZOUQOfZBxox/i3jsHXXU5QO37JZBo7cOG7F6AqbCEfTZ92MCoN9ho7cPavjicRndrfdidBz8gdsVWTr6zmqStWh82eHvVfVia1Td7Wn3zpI2vdN08jz1WXzk17VNalx1lVu6bf0xZxk0OfDPoji6EDuuFxWTGVFTCoTH2s80pVh/tt2ch5sJijkwsb1vvTXPZ0f8FAFrMGkE969+e/ocWcWnFVs7O/4E67cO4ZflknH08CBrQkebPDWNbn+dq/HFaudq1A9LBaxPWwT4hhAAMDvJNApKBdlbbohpoOVxAYf2/2OaamepjOkdt1AFZpaObDrAtXwBIKXcIIXoDQ4D/CCHellJ+WY0uaIH1SLRR28euYIu4mvVo/0sIIWbbTsdXfH81ef+/sSpkZK196Fl6R8/UtcOzlndmdq3reOT0/wM6fe3eS6GrXT1n1xquAf0bOBpd1UDGtaH2WqYR6FyTv69/H+2OVP1F9O8mcfATtaYFsDs+uFb1fC2O1yJfC4odrSe9xtyZ9E21otZ1n+eB7lLK3UKIj4ELaFP5/WzWjx6WUr5nXUu5REo5TwjxIPCAlPJOIcSLgJeUcpoQYijaCKWwlv+LlLK1EOJd4LKU8h0hxChgudWmE7BAStnHWqe+lK8xfR9IlVK+Zr3+rpSyg3XEMk9KOd+a5wRwh5TygoM2dgQ+B7pQPpW/VEo5Xwixy1rmKmtA3VZKebSqNbNCiEZAvJTSJISYCDSWUk60WWMqgUNSykY2+kHAPiBJSml/VIcD1IipQqFQKBSKG5lTwCNCiKVANPAssAdtirt085PtNKCLEGIv2ojjcOu1j9HWUe4DNgP5DnQ+BH4QQgwDttrYHANMQoijaAHkYZs8s4HPhBDH0DYnVbs+0xFSykNCiJXAEeAiYLuRYCTwkTWwdga+Bao76qYv8JwQwgjkoW2ostVKF0L8bg2U10kpn5NSJgshTgFralJfFZgqFAqFQqG4kbFIKZ+qcG0z2mYhRyyWUr5ie0FKmQx0tbn0gvX6BaC19XU00NaBjRFtXast26xpGcC/Klag4qyulLJ1FXUtTZ8DzHFw/Tww2MH1Ryu897T+/wXamtuK9o1tXo+wTRNCuAOlm72uiNr8pFAoFAqFQqH42xFC9AdOAx9IKbNrkkeNmCoUCoVCobghsR3RrKF942tWmb+IEMIfbaS3IpFSyqs/R/BvQEq5Ce2c1Rrz/zkwLbIuDi6l8T9UD4VCoVAoFIprijX4rGqH/f8M/28DUynlPNv3FYJUhUKhUCgUCsV1hlpjqlAoFAqFQqG4LlCBqUKhUCgUCoXiuuD/7VS+omoiO1+uVb34Y961puVVp3YP+k5Irr22ASRJl1rTSnCu3e+tt5gLalXPWV97B4sHGgpxNVT7K3x/K7X9YwW7Cv2ubPQ3EliLh96HrP+41rQA2nR5plb1LLJ2D70/WVjnykaKG5obMjAVQkwHXKsxaVxLVfl/T20GpQrF9UptBqUKxfWKCkoVNeGGDEwB1+p+clRtlFIoFAqFQqGofdQaU4VCoVAoFArFdYEKTBUKhUKhUCgU1wUqMFUoFAqFQqFQXBeowFShUCgUCoVCcV2gAlOFQqFQKBQKxXWBCkwVCoVCoVAoFNcFKjBVKBQKhUKhUFwX3KjnmCoq4NyhM+5PPAM6HcVRayn6YYVduutd9+MycAjSbEZmZ5H/wZtYUpNxatMB98fGl9np6zckb/6rGPfutMvv2bsjoS8/ATodmSujSF3yvV26MDhR/53JuLUOx5yVy6Wn38IYn4JzvUCabfqQ4th4AAoOnyHhxQ8BaPLNGzgH+mIpKgHg/MMvganyLz+5db8Zv+fHgU5H3o/ryP5spV26S8c2+D03FkPTMFKnz6Fg02/2dfNwp96Pn1Kw5Xcy5i2q8h42ee0xfCI7YiksIWbiB+QfP1/JxqNtGBELn0bnaiBr8yHOz1oOgP8d3Wgw9QHcmtbj2O3TyT96DoCAe3pRb+y/yvJ3a9mILQNmkn3yol25bV9/mODI9pgLSzj47BKyjl+opN1y+v00HNYLg48HP4c/Vl7vhyMJGzUAabZgyi/m8HOfkHs2vsp29nrlIRr1a4+psJjNk5eResJey8nVwOAlE6jTKBCL2cKFTYfZPU+75zcN60WPmcPJS8oE4PjnUfzx7TYAGr02Gp9+HbEUFnNu0iIKjsdW0nZvE0b4wme0+7flEBdnfQqA3seTpkum4FK/LsWXU4keMx9zdn75fW8XQatf5hLz1AIy1u4GIPSFh/G9syfOQX6Ys/JI+fS/JH/4g52eMDjReOEk3NqEY87M5fy4tym5nILex4uwpdNwbxdB+qotXJ61rCyP7509CX5mGOh05Gw5QPwbX5TXo3cngmc9idDryFy5kfSlqyrphc6fglvrCMyZuVyeMA9jfAoALs0bE/L60+g83UFKzg+diCwx4j2kFwHjHtD8e9t+Ut78rFyvVyeCXhyD0OvI+m4D6csc6L01FdfWEZizcol/di7G+BS87+qL/+P3ltm5NG/C+aETKD4VS91JD1Pn7kj03p6caX8v1dH11YdoYPWVHZOWkV7BV/SuBiKXTsCrUSDSbOHSpsMcmKv5SnCX5nSZ/RB+LRqwdfwiLqzdX6WOa7db8J06HnQ68tf8Ss4X39qlu3Rog++U8ThHhJE283UKN+8oS2uwdyPGGO1ZNSWnkDZ5VrVtqgkvvrGAHb/vw8/XhzVfLflTZVwLXymlwdKXcG4YROxt5X23Z++OhLz0pNZHf7eRNEd99PzJZb4S98ybZX1006iPyvrowiNnSHhxsZbH2YmQ2U/h0bUNWCxkz/2Byw4+xw6vPUxIZDvMhSXsm7iUTAf9V5vpw2h8Xw5Fm48AACAASURBVC+cfTxYHTHaLq3BnV1oNfVekJKsk5fYM37xVdxpxfWGCkwVoNPhPmYiuS9PwZKeivf8pZTs+x1LXHnwYzofTdHkJ6GkGJfB/8Lt0afIf/sVTMcPkzPpcQCEpxd1lqzAeHh/pfJDX32K8w/NwpSUTvhPC8jZtJfimLgyE9/7B2LOzuPsrWOoc0cvgqc/StwzbwFQcjGJmCHPOqx63MR3KDweU36h4g+L6HT4vfAMyU9Nw5ScRujXiyjYvhtj7KUyE3NSCmkvvU2dh4c51PAd/yhFB49Vewt9+nXENSyEw92fxrNjU8LmPcnxIS9Usgub9yTnnltC3sGztPh6Jj79OpC15TAFZy5xevRbhL81xs4+bfVvpK3WAmX3mxrS9PMXKgWlQZHt8QwLZmO3yfh2jKD9m4+x7faXKmknbjxE7PKNDNy9wO563OpdnP9yMwAhAzvSdvaD/D7iTYftbHRrO3yaBPNVrykEdQinzxuP8v1dsyvZHV66lvjdp9A56xn67Qwa9m3LpW3aPYz+7x52zPqyUrmuTUI42mM8nh2b0WTuk5y8Y3qlcpvMG8P55z8i7+BZmn/1InVu7UD21sOEPn032TuPkbjoR0KevpvQp+8hbs5/tEw6HQ1mPkT2tiNl5fhEdsK9dThYJKdvm0SjhRPxu7sP2VH7KIou90v/fw/AlJXHH72ewveuXtSb8Qjnx72NLC4hYf7XuDVvhGvzhmX2eh8v6s18lNO3T8aUkUOjBc/i1aMtxv2HQKcjZPZYLj7yIsakNMJ+fJfczXsosXkOfIYNwpydR0y/J/C+ozeB00YRP+FN0Ouot2Aq8VPeofj0efQ+XkiTGb2PF0HTHyP2X89izsgh9O1JeHRvR8GeI6DTETx7HJcenYkxKY0mPywkd0sFvfsGYc7J41z/x/Ee0pvA5x4jfuI8cn7eRs7P2wBwadaY+ktmUXxK+6KQu3UvmV/9l/CoTxz6SCn1+7XDu0kwq3pOoW7HcLrPfZT/3lnZV44vXUviLs1Xbvt2BvVvbcvlrcfIi09nx+SltBlze7U66HT4TptAyvjnMSenEvzlhxTs2I3pvE3/lZRC+uy38H6o8jMui0tIGjmm0vW/wtDbBzDi3ruY8dr8P1fANfCVUrwGdsdSUFhJL/SVsZx/+EVMSemErXmXXEd9dE4+0f2epM4dvQme9ihxE8r76HN3TKjUjLrj78eUnkV05BgQghTX0Eo2If3a4RUWzK/dp+DfMYJO80axacjLlewSNh4menkUt+96x+66Z5MgWjxzF5vvmo0xuwAXf/Vrg//rqKl8BU5NW2BJiseSnAgmEyW/bcHQuaedjen4YSgp1l6f+QOdf91K5Ri698V4aG+ZXSnu7ZpScjERY1wy0mgi+7878B7Qxc7Ge0AXsn7QgqPsdb/j2b3d39I2l9bNMcUlYIpPApOJ/A3bcO/b3b5tCckYo8+DrPz74oYWTdH7+VC0+2C1On6DbyF11XYA8g5F4+TtgXOgj52Nc6APei938g6eBSB11Xb8BncGoDA6nqJzCdVqBNzdk7gfd1W6HjqoE5e+04LXzEMxOHu741pBuzStKCWr0nVTXvkfKb27C5Kqf2e9ycBOnP5BGw1PPnwOF28P3CtomYpKiN99CgCL0Uzq8Qt4hlT/W+pNBnYi7fttAOQdOou+jgfOgb52Ns6Bvui93MruX9r32/AdrPmR76DOpH2n5U/7bhu+1vsKEPzY7WT+uhtjWnbZNbdm9SmOS6L4QiJFZ+MoPHmewtMXqDOwPB+Az8AuZHy/BYDMtb/j1aOt1q7CYvL3n8JSXGJn79IoiKLYBEwZOQDk7jyKz+3dNM12zSi5mIAxLgmMJrJ/2YFX/652+b36dyF7tfYc5KzbiUc37Tnw7NWRotMXKD6tjeyZs3LBYsG5QTDF5xMwW/Xyfz+C16Aeml5be72ctTvwiuxmp+fZvyvZqzdpeut34t6t8nPnfUcfcv67vex90ZEzmFIzK9lVpNHATsR8r/lK6qFzGLw9cKvgK+aiEhJ3lftK+okLeFh9Je9yGpmn4pCWqv0RwNDqJkxx8Zjjtf6rYONW3PvYP+PmxGSMMbFXLOvv4ub2bajj7fWn818LXwEQ7q74jx5K6mL7EWW3ds0otu2jf9mB14CKel3JLOujd+JRgz7a974BpH5kHemVkpKMvEo29QZ34sIqrf9Kr6b/Sq+i/wob2Y+Yz6MwZhcAUJyec8V62SKECBJCrBBCxAohDgohdgsh7hZC9BVCZAshDgshzgghdggh7rDJN1sIES+EOCKEOCGEuOuqhP9mhBAzbF43FkKc+Cfr81dQgakC4R+AOS2l7L0lPRWdf0CV9i4Dbsd4cG+l64Ze/SjZsbnSdadgf4yJaWXvjUnpOAf729k4B/lTUmpjtmDOzUfvq33zNTQIIuKXhTT5di7ut7S0y1f/rWeJWPsegc884LCu+sAATEmpZe9NyWnoA6tumx1C4DdlDBnvfnxFU0OwH8UJ5W0sTkzHEGLfRkOIPyUJ6fY2wdUHbLYE3NWDy2sqB6auIb4UJmSUvS9MzMA1xLeSXXWEjRrAwD3v0nrWCI7O/LJKO89gX/Js2pCXmIFncNVaBm93GvfvwOXfT5ZdC7+tM//e+AaDl0woC1g9g33t7l9JQuV7Ywj2oyQx3aGNc4APxhQtWDKmZOLsrw2dOwf74XtbF5K/3GhXVsEfF/Ds0pqS5Az0vl54dWtjta/gl8F+lCRU9MuqA47iC4m4RtTDUD8Q9DrqDOqCIUTzN6cg++fAlJSGc5C9nvaspJbpWXIL0Pt6Y2hcD6Sk4Wev0uSn9/B/UptCL7mYiEtYfZzraXpeA7rhXKoX7I/J7rlLw6miXpA/xiQbvbyCsueuFO8hvcn5ZTtXi3uwL/k2vlKQmIHHFXylQf8OJOw8WaWNI/SBAZiTbZ7xlNSaP+OAMBgI+vJDgj77ALc+Pa5K+1pxLXwFIHDSQ6R/+iOy0H7wwNm2LMCUWFnPOcixHmh9dPh/36PJN3Nxv6UVADovDwCCJj9E+M8LabBoOi4BlUcz3YL9KLDxk8LEDNyuov/yCg/GMyyEyJ9epv8vrxB8a9sa5xVCCGANsENKGSal7AT8G6hvNflNStlBStkcmAAsEkJE2hTxrpSyPTAMWC6E+NMxlRBC/2fzWplxZZP/DdRUvmOKhBCz/+lK/N1IKWc7ThEOjB1bGvoMwCmiOTkz7KfWha8f+kZhGA/vc1B85fJlxdFJBzZIiSk1g9M9HsOclYtr63AaLZ1J9KDxWPIKiZs4H1NyBjoPNxp+9AI+99yKefO6GpVbE7zuv4uCnfvs/uhVhaiBjgOLKu9zRTw7NMVcWEzO6cs11K5ZuaXEfhZF7GdR1L+7OzdNGsrBCVWsi6vJZ1lqqtcxaNF4jn22gZxL2j28EHWYsz/txlJiotWD/ej/7hjW/Hvun/eRKzS00SuPaVP61hGjUrK3H6XwZCw+A27BEOxP/qEzSIvFgW9c3b01Z+cTN2MJTT58DmmxkH/wNC4Ng6upf0Uc+5Fw0uN+c0vO3z0JS2Exjf4zh6ITMeTvOkriS4up//50pMVC4aFTOJfqVVGWndoV/Na1XXMshcUUR1+sbHelllylr/RdPJ4/lm8g99KVn7crUsNnHCDhjuGY09LR1wsh6KP5GGNiMcUn/vU6/BWuga+YMnMxNAohec7H2heZK1Hp+XNsY0rN4EzPUeV99JIXiR48DuGkxzm0LgUH/yBpzif4jx5K+5dHsveZj2pUbk3R6fV4hQWx5d7XcQ/xo9+al1h/6zSMOdoIqhDiSeBJmyzLpJSli8L7ASVSyrIOT0p5EfhACNHXvkryiBDiVeBpYHOFtFNCCBMQAKRQASFEOPA1oAfWAZOllJ5WjZeBRKA90FIIMRko3QTwiZRyoRDieaBISvm+EOJdoJ2Usp81SB4FXAbchBBHgJPATEAvhPgY6A7EA/+SUlZYw3F9ogJTB0gp5/3TdahNZHoq+oDyjkrnXxdLRlolO6d2nXAb9hA5MyeAyWiXZuhxKyV7fgOzuVI+U2Ja2SgOaN/OTckZdjbGpDQMIQGYktJBr0Pv5aFNQQHmEu3/ohPnKLmUhEuTehQejykrw5JfSNZP23Fv14zcCoGpOTkVp+DyZQdOQQGYU9OpCS7tWuDaoQ3e99+JcHNDODshCwrJfF/bcOP1wF20u1Ob2ck7GoNLaAC5pXlD/ClJsm9jcWI6htDyUQiXEH9KKtyHqggY2oO0NeUbysJGDaDxyFsByDwSi1to+eiiW4gfRUlXnmp1xOU1u+nw5mPYLlxo80h/Wg7XtFKOxuJp0wbPED/ykytPrwHc+uZoss4ncfTTDWXXirLKp/J0TnpCu7bggfVzSDkai0toAKWphlB/jMn2bSipMAptCPWnxNpOY1oWzoG+2mhpoC/GdG3a3qNdOBEfTQbAyc8Ln8hOSLOZzPX7SF3+C04+XsQ8OJvGH0wGswVjJb9MxxAagNGBX1ZF9qb9ZG/S1ln7jxgIZi0oNiXZPwdOwQEYk+19UbOpW/Yc6LzcMWflYkxKo2DfCcyZ2jRl3vYDuLYKJ3/XUfK27CNvi/aF0Offg7UA21qWk91zF4AppfJz5xxso+fpbtc+bbR0W7XttaXFI/1pPkLzlbSjsXjY+Ip7iB8FVfhKzzdHk3M+iZM2vlJTzClp6INsnvHAujV+xgHMaZqtOT6RooNHcb6p6T8emF4LX7HkF+HaOoKI7csRej1O/nVo9PVczo+Yoc1ihdjcw5AAjJV8Jd2hHlTuow1N6lF0PAZLQRE5G7TNhjm/7iT4vsEARDw6gDBr/5VxNBZ3Gz9xC/GjMMmxnziiIDGD9IMxSJOZ/LhUcs8l4NUkmIyj2ppoaxC6rIrsrYBDNRbTbJ+reFEI0QWwAFV9q3oPeE9K+Y0Q4qkKaZ2B1lLK80KITmiBZhe0kH2vEGI7sAOYArwP3Ay4CCGcgZ5oo7pLhRBPW0dvEUI0BpoCw6WUTwghvgPuBb66irb+Y6ipfAWm6NPoQuqjCwwGJycMvfph3Pe7nY2+SVM8xk4hd84LyOzKnYZL70hKfqs8jQ9QcCwal8ahONcPQjg7UefO3uRssh9Zzdm0F597tRmSOrf1IG+3tlFG7+cNOs1NnRsE4dI4lJJLSVqQUDrl6KTHO/IWis5UHtUpPnkGp4b1cArV2uYxqC8F23fX6L6kzZjH5dtGcvn2h8h8dxl5v2wqC0oBclf+zNEBUzk6YCoZ6/ZRd1gfADw7NsWUW4CxwnooY0oWlrxCPDs2BaDusD5krK96p3EZQuB/R3fS1pR/JrGfRbGl/wy29J9B4voDNLy/FwC+HSMw5hY6XItVFR5NgsteB/fvQN75JLv0419sYuXgmawcPJPYDQe56V5t/XFQh3BKcgsocKDV5bn7cPFy47fZ9v2g7XrU/KRMUo7GlpUbcF9fADw7NsOcU1A2NV+KMSUTc14Rnh2bARBwX18yN2h+lLlxPwH3a/kD7i+/frTrWI50eYojXZ4i45fdXHhhGZnr94FOR9HFJFwah+DdtwNuLRrj1iaM7Ch7v8yK2offff0A8B3Sg9zfq98EB+BkXUagr+NB3YdvI+2bKAAKj53F0LgezvWDwNmJOnf0Jm+z/ZKY3M17qXOP9hx439aTfOtzkLfjEC7NGyNcXUCvw71zG4qtm7T0Vj2dtyd+I4eQtVIL7gqPn8Vgfe5wdsJ7SG9yN++x08vbvJc69/TX9Ab3pGCPTfuEwPu2XuSs3UFNOfXFJtYMmsmaQTO5uP4gEfdpvlK3YzjG3AIKHfhKp+fuw9nbjT0v/7m/mSV/nMa5QT301mfcfeCtFO6ovOTFEcLLE5ydAdDV8calXSuMsVc/Ovx3cy18JXPFr0R3f5iYPo9x4YHnKL4Qz8WRL5Tp2fXRd/Qmd1NlPd+yPrpcr2IfbWgcivGS1ofkbN6n7cgHPLq3I8d62kfM51FsHDCDjQNmEL/uAI2Haf2X/5/ov+LXHyCwRwsADH6eeIWFkHep0qBljRBCLBZCHBVCVNUxVxzfnWQdpZwPPCCrmhKAbkDpsQorKqTtk1KWHuHSE/hRSpkvpcwDVgO9gINAJyGEF1AM7EYLUHsBv+GY81LK0h2fB4HGVdhdd6gRUwVYzBQsW4jX7PnacVGbf8UcdwG3EY9hijmNcd8u3Ec9hXBzw/P5V7QsaSnkzdGWtOgCg9EFBGI6ccRx+WYLCS8vocmXr2hHkazaRHH0JQInjaTweDS5m/aRuTKKBu9OptnWpZiz87hk3ZHv0bk1QZNGIs1mMFuIf3Ex5uw8hJsLTb54BZz1CJ2evN+PkPHtRrwqLv8zW8iYt4igj+Zqx+n8tAHjuYv4jH2E4j/OUrh9N4ZWzQhcMBudtyduvbviM/ZhEu594qpuYebmQ/hEdqTj7sWYC4uJmVR+XEm7qPkcHTAVgHPTl9HUelxU5pbDZG3Rvqz73daZJq8/jrO/Ny3+M4P8kxc4Nfw1ALy7tqQkMZ3iS8mASyXtpE1HCIpsz8A972IuLObgxKVlaf02vcGW/trn1HrWcBrc3R29m4HbDn3AhRXbODX/B8IfG0hg79ZYjCaM2fkcmPBRJY1SLm45QqN+7Xho5zuYCkvYPKV8IOKB9XNYOXgmHsF+3DJhKBnR8Tyw7nWg/FiodqMG0nhAR6TZTFFWPpsmLy0rt/OtrWi360MshcXETio/lqt11DucGDAFgAvTlxJWelzU1kNkW+9f4qLVRCyZSuC/IymOTyN6TPW7oYWznmbfzQEnPWEfz8CUkUPaV+spOhtHyJQRFByLITtqH+nfRtF44SRa/rYEc1Yu58eXl9tq1zL0Xu4IZyd8BnUhZuRsiqLjqP/K47i1aKJ9Nu+tpPh8Aq4GwGwh6ZWPaPj5awidjqzvoyiOvkTdiQ9SeDyavM17yfpuI/XemUrElo8xZ+Vy+VntObDk5JGxfA1NfnwXkORtO0DeNu1vZ/CsMbjepOmlLvqGkgsJCF25XoPlr2vHRX2/kZKYSwQ8+yBFx6PJ27KXrFUbCJ0/lfBNn2jHRU0qP43B/ZbWmJLStA04NgQ+/xjed/ZFuLkQ8duXZH23Ad6qsIQGiNtyhPr92jFs5zuYikr4bXK5rwzdMIc1g2biHuJH+2eHkhUdz9D1mq/88XkUZ7/ZRkC7MPp/MhFDHXcaDuhAx8n3sjqy8kkNmC1kvP0BgR9oO9Lzf16HMfYidcY8SsmpMxTu2I2hZXMC3n5Fe8Z7dcP85CMkPTAa5yYN8ZsxCSwSdIKcL761283/Z3nu5XnsP3yMrKwcIoc+yLjRD3HvnYNqXsA18pXq9BJmL6HxF68idDoyV2l6gROtffTmfWSu3Ej9BVNoumUZ5uw84iZovuLRuTWBE0cizRYwm0mw9tEAyW9+Rv0FU9DPegJTRg5bJ3xaSTpx8xFCItszZPcCTIUl7JtU3n8NjHqDjQO0/qvti8NpdHd3nNwM3HnwA2JXbOXkO6tJ2nqM4D5tGLz9LaTZwpHXVlCSWXmTVRWcRBtJBEBKOV4IEQAcqMK+A3DK5v27Uso/efRCGfk2rx2v+JLSKIS4gDaaugs4BtwKhFeojy22C4nNgNtfrGetIaoO8P9/IYSYXbrG0vb1jUjGv/rU2ocef6x2j+7wqlP5HNNrSUJy7bYvSVYOTK8VCc61O6Fyi7mgVvWc9ZWXnVwrXA2mWtMCELra7dd3FdZ8E9/fwYDg2ptqD1l/5c2PfyfRXZ6pVT2LrMl61r+Hk4UVz/O79jyQ+HWVDbRuftoDfC6l/Mh6rSHa1PmjwFQp5R3W622Bn4DHpZSbrftQ8moSmAoh1gJfSilXWte8LrBZY2qr0RH4HOiKdSofeEhKediq95j133FgP3BQSnm3NW8mEGgNYhsDv0gpW1vTpgKe/ytxj5rKVygUCoVCccNhnXofCvQRQpwXQuwDvgCmWU16lR4XBSwGJkgpHa9Zq56JwGRr+SFAtiMjKeUhtMB0H1pQ+omU8rA1+Tdr3t1SymSgCPtp/GXAMSHE13+iftcVaipfoVAoFArFDYmUMhHtiChHVDnEe5Wjj/FAVymlFEL8G+tSASnlNmBbhXIXAAsqFmANiJ1t3jerkD6N8oAaoLVN2l9dblCrqMBUoVAoFAqF4trRCe0MVAFkUX4clMIBKjBVKBQKhUKh+IsIIWaiHbZvyyop5Rzg7/k5wxsAFZgqFAqFQqFQ/EWsAeicf7oe/+uozU8KhUKhUCgUiusCFZgqFAqFQqFQKK4LVGCqUCgUCoVCobguUGtMb0B+OtCgVvVq7/hm8Emq+NNP15ae7eJrVS8o3rXWtHoEFF/Z6G8kP91Qq3qegbXbvthT/lc2+h+lX93kWtXbHR98ZaO/iTa1fOB9070f1Kre5cgxtabV2SuFy8m1f8i+4n8LNWKquKbUZlCqUFyv/H8OShWKmqKCUkVNUIGpQqFQKBQKheK6QAWmCoVCoVAoFIrrghtpjWmREGK29XXjf7AeCoVCoVAoFAoH3DCBqZRyXulrmwBVoVAoFAqFQnGdoKbyFQqFQqFQKBTXBSowVSgUCoVCoVBcF6jAVKFQKBQKhUJxXaACU4VCoVAoFArFdcENs/lJcWW6vPoQ9fu1x1RYzM5Jy0g/ccEuXe9q4NZlE/BqFIg0W4iLOszBuSsBCOrSnC6vPIRviwZsG7eIi2v3V6vVuYJWRgUtgA7ThhFxX08MdTz4utnjZdc96vnTY8GTuPp5UZKVz44JH1GQmFGtXpvXHyYosj3mwhIOPbuE7OOV9VpMv58Gw3ph8PHgl/DHyq43fjiSJqMGgNmCKb+YI899Qu7Zqn/xyfnmzng89QxCr6No3VoKv1thl+56z/24Dh4CZjOW7CzyFryJJaX8l3OEuzs+H39Jya7fyF/8XrXtcutxMwHTn0Lo9eT8sI6sT7+z1+rUmoBpT2FoFkbyc2+QH7WzLC1kyRxc2t5E0eGTJI1/qVodRxg6d8br6adBr6dw7VoKVti3033YMNyGDEGazViyssh56y0syVf3C0FuPW7Gf9pYhF5Hzur1ZH+6skL72uD/vNa+lOffID/qN61uzcMImDUBnYc70mIha9k35G/YfuU23dIZz/HPgE5H0a9rKfjWvk1u992P2+3Wzy4ri5y3tc/OKTwCr4mTEe7uYLGQ//V/KN62tSxfo9dG49uvI+bCYs5NWkTB8dhK2h5twghf+Aw6VwOZWw5xcdanAOh9PGm6ZAou9etSfDmV6DHzMWfno/dyJ2LRsxhC6yKcdCQu+ZnUlVtwb9WYm76ahZOvJ1gkl99ZScLiH/+6Xh0Pwhc8jUujIGSxkXOTF1N45hKu4aGEfjyprFzn+sFkfvgFxvNx+E0bh9DpyP1xHdnLK3x2Hdvg9/xYDE3DSJk2h4JN2mfnFBJI4IKXQadHOOvJ+eYnclf9csXPDqDDa//H3nmHV1Gsf/wzp6X3TmgJoUlvCkhNCMWriBfBSldQkCJFkCIoqGBX9Ap4VSw/C1hQUXpHOgm9BgglvfecOr8/ziHJSU4KIhGv+3keHrI778x33p2d3ffMzO4OJySqDeYiAwemLCfLQT9vNWsIDR/sjtbbjR8ixtil1bvvLlpMHwxSkn3yCvsmfFB6vHp0IHjeWIRaRda3G8lYvtour9BpqPPGNFxaRmDOyuPapMUYE1IBcGrakJBFz6BydwUpuTRoCtJgLNVd/gLa+kFcHDChRn6WZe4rb7Hz9wP4+niz5stlN5zfES5dO9Z624UvGo1vVDssRQbOTn6fguOXKti4tw6nybsTUDnryNwSy8W5nwDQ4LmH8evfCWmxYEzP5dzk9zGkZN3kUVD4q1BGTBUAqBvZBs+wYL7vNo09Mz+my6sjHdqdWPYrP/Z8jp/7zSGwUxNCe7cGoCAhg13PLufimj3VaoXatH7oNo29VWhd2xTD2n/Nr7C/0wuPcuG73fwcPZsj7/xIh+eHVqkXFNUW9/BgNneZypHp/6XNktEO7ZI3xrBjwLyK9fhhD9t6z2Jbn9mc/+AXWi54vHIxlQr3CVPInfscWU+OwKl3FOr6DexMzBfOkz1xLNlPj8awewduTzxll+46fAzG40er9Om6VsDcCSQ9PZcrA5/E/Z7eaMPr25mYktJInfsm+b9tq5A9+9PVpD7/WvU6lWh7TJ5M9syZZIwYgXNkJOoG9n4az58nY9w4MseMQb9jBx7jbvDThyoV/nOeIXn8HK7e/yTuA3o58C+VtHlvkP/bVrv9slhP6uzXuPbAWJKfmo3fzKdQebhV79OkKWQ//xyZo0fgFBlVwSdT3Hkynx5L5pOj0e/cgftYa9tJfTG5i18mc8xIsmfNwH38RISbOwC6O+/CJSyEI3dP4NJzywh/daxD+bDF47j43IccuXsCLmEhePduB0DoMw+Qu/sYR7s9Q+7uY4Q+828AgkYOoOjcNY5HT+XU4Bdo8MIIhFaDW5sIii8mcqDhQ5wb+zp1n3sEtafrTeuFThpMwclLHO8zlbjJ79HwJWs/Kr6QSOJDT1n/PTIeS7Gewu178Js9kZTxs7n2wBO49XdwbiankjbvdfLX2bedKS2TxOFTrOU9NhGvUQ+hDqj+y1khkW3wCA/mt67TODTjYzosHuXQLnFjLJvuqfhDzD0siOYTB7Jl4ALW95pJ7AtflCaqVIQseJoro+cT1+9pvO7rgS7C/tPO3kP6Yc7JJy7ySTI+XUPgTJu+WkXoW9NJmvcBFweM5/Kjs5Amc0k+j75dsRQWVetfZQy6J5plby36w/kroFLVetv5RLXDJTyEQ10mcn76MiKWOO4jEUue5Pz05RzqMhGX8BB8Iq3n7LX//ERM5DRi+8wgc9Nh6k8d8gedV7gdUAJTBQDq9+tA3HfW0bS0mAvovNxwCfS2szEXG0jecxoAZax7IQAAIABJREFUi9FM5vF43EJ8Aci/lk7W6atIi6yR1oVqtK6nFaVmV9jv1TiUpN0nAUj+/RT1+naoUi+4XweurLL+os+KiUPr6YqTA72smDj0DvRM+aU3DbWrE1C5j5qmzTEnJmBJTgKTCf32rei6dLOzMR6NBb31O+3G06dQ+QeUlh/RBJWPD8bDVY84Azi1aorxSiKma8lgMpG/bjtukV3s656YguHcJaTFUiF/0f4jf/iGqG3WDHNCAuYkq5/FW7fidPfddjbGI0dK/Tx1ClVAgKOiKqW8fwXrduDWu6udzXX/kPZtYrycgOlKIgDmtEzMmdmofKr+HKKmWXNMCQlYbD7pt23FqWu5tjtSru1sPpmvXcOcYB1Ft2RkYMnOQuVt1XO6uxtp320HID/mHGovN7SBPnblagN9UHu4kH/4HABp323Hp/9dAPj0u5O0Vdb8aau249P/TmsmKVG5uQCgdnPGlJ2PNJlxbxNByhcbAMjefBgsEpcm9W5az6VxPXJ3HwOgOC4Bp3qBaP3tj6nLXe0wXU1C7eeL8WoipgRb263fjmuvim1nPH8Jyl8zTCYwWkcThU6LUNXsNhXavwPxq639PMPWz50d9POMmDiKHfTz8MciiVu5CWNOIQD6jNxSv9o0wXA5EePVZDCayFm7E48+ne3ye/S5i5wftgCQu243bl3aAODevT3FZ+LRn7GOAJqz88DWH4WrM35jBpH2wTc18tERHdu2wsvT4w/nL49Ty6a13nZ+/TqRajvn8mLOo/F0RVuu7bSB3qjdXcmznbOpq7bj178TAOYy12hVNdfo2w0hRFshxD1ltgcKIWb9lXX6q1ECUwUAXIN9KEjMKNkuSMrENdinUnudpyv1otuRaAsQb6VWebJOXaHBPdYLUv0BHdF5uODk416pvUuID0WJpVP9xUmZuITUXA8gbFQ00fvepsW8Rzk25/NK7VR+/ljSUku2LelpqPz9K7V37n8PhoP7rRtC4D52PAX//bBGddIE+mFKTivZNqWkowmsXOvPRBUQgCWtVNuSloa6isDT5V//wnDgwA1paAL9y/mXhjroxr8579SyKUKrxXQ1qUo7tX+5tkurpu0G3IPhwP6K9W7aDKHRYk60BsYqf38Miekl6YbEDHTBvnZ5dMG+GJIyHNpo/b0xplqnJY2pWWj9rMFg8qe/4dI4lPaxH9N669vEv/AJSGkty6bn1jYCaTYjjeab1is8FY/vgM4l5TrVDUAXYt8ebv17kb9+G+pAf8xl2s6cmo4mqObnpjoogNDVy6m34SuyP/0Wc1pGtXlcgn0pLHNdKbrBfu7RKBj38BCifppPn7UvEmybDQLQBPlhTCptQ1NyOtpy56Im2A9jks1nswVLXiFqH090DUNBSup/+hJhP72L39jBJXkCnx1Gxsc/Iov0Na7nreavaDtdiB/6Mm1nSMrEqdy55RTih77MOatPyrQ7/xrMeoQ7Dy8jcHB3Lr9mv/TgZhFCqP/UAkvL1QBtgZLAVEr5c9n3rv8T+cevMbX9MnH+q+tRG0gpF1SaKISjDI5N1Sp6fjCBU59sIP9KmkObKrkBLUccXPgVnReNIGJod1L2naUgKROLyVx5Bgd6NyAHwKVPN3Hp003UfaArTZ8dRMykStZyOfTNsalTZDSaxk3JmTEZAOf7BmE4uN8u4KuSmzyOfzqVaDtHR6Np2pSsyZNvrDwH7t2of2p/XwJeeY60ua/XIO8NtF2faLRNmpI11d4nla8vns/PIXfJq2X0atBOjtqymlEf717tKDwZz+kh83FqGEzzb+ZzfP+pkrK0gT5ELJ1M0flrJSN0N6OX+P4PNFg4hlab3qTw9GUKTlxCmsuUq9Hg2rMLme9+jHOH1hXyyxtoO3NKGglDxqEO8CPonQUUbNqJJbPiKKcdN3m+qNRqPMKD2Dp4Ea4hvkSueYH1vWeCKbuS41WDCkiJ0Khx7XgHlx54FkuRngZfvEzxiThMWXnoGoSQ8vJHaEMDa1zPW47D6+WtbTvHp2P5PlK1zeXFX3N58dfUnfgAIaP7c+X1VbayxVig7NqAFVLKFaXaoiGwHtgPtAPOAcOBU8AnQF/gfSHEGWAZ4ApcAEZLKbOEENuBI8CdgKdt/wEhhK8tfzhQCIyVUh6zfeCnDtYvUKYD3QAXIUQ34FXABegopXxGCNHAVkYAkAaMklJeEUKsBHKBjkAw8JyU8jsHRwghxH+A9VLKn4UQPwJZUsrRQogxQJiUcq4QYipwfY3bf6WU75Q5LruBzsBR4FPgRSAQeMzmpxuwFGiFNaZcIKX8SQgxEhhoO16NgB+llM85qmN5/vGBKeBcZcD2P0yzEX1o8lhvANKPXMStTumvT7cQXwpTHF9Mur42htxLyZz674ZbruWIopRstj1pfShI4+pEg391wphnPyUdNiqahja9rCMXcalTOkLlHOJLcfIfWxh/bc3eSteogm2ENKD0JqPyD8CSkV7BTtuuAy6PDCNn+qSSqS9N8xZoW7bG+d77ES4uoNEii4oo/GRFhfxgGyENLh2l1AT5Y6rB6MSfgSUtzW5qXhUQgDm9op+6Dh1we/xxMidPLvGzplT0LwBzatUPuZVFuLkS/MFCst5fif7YmWrtzeXbLqCStmvfAbdHh5E1dZKdT8LVFa9XllDwycdomzTBY8pUqx9nz6KrUzripKvjV+HBDENSht3oj66OHwbbOWpMz0Yb6GMdvQz0wZiRA0DAQ5Ekvv8DAN692qL19aTlutfJ3XcS57A6NFz4BFeXfEW9mY/+KXrm/CIuPvt+SZ52+5ehv1L6MJtrt04YzsRhyczGnJKGukzbqQP9Mafe+LlpTsvAcOEyzu1blTxgU5aIkdGE2/p55tGLuJa5rriE+FKUXPPrSmFSJhmH45AmMwVX08i7kIhHWDCcT7SOkIaUtqEm2B9jir0/VpsATMkZoFah8nDFnJ2HMTmdwgMnMGdZlwbk7ziEc4tGWAqKcW4ZQcSOTxBqNRo/Lxr836s3dHxuBbXVdiGj+hP8WBQAeUcu4FSm7XQhvuiT7fu6PjHDbhTVKcQXQ3LF60Haj7to8eXsksDUFoQ6voiW0hQYI6X8XQjxCTDetr9YStkNQAhxDJgopdwhhHgJmA9Msdm5SSm7CiF6YA0kW2IN4GKllIOEEJHA51hHRwE6AN2klEW2AK6jlPIZm87IMvV6H/hcSvmZEGI08B4w6PohxBrUNgN+BhwGpsBOoLvNJtSWD1veb4QQHYBRwF1Yw//9QogdQBYQAQzBGtgfBB615RsIzLbVZQ6w1RbsegMHhBCbbRptsQb7euCsEGKplPJqJfUsQZnK/wdz5rPN/Nx3Dj/3ncOVDYeJeNC6ni6gfSMMuYUO13e2f+5BdB4u7J//5U1pNaqBVmU4+biX/MRuNXEg57+p+LT1pU83sa3PbLb1mU3S+kPUH9odAJ/2EZjyihyuJa0Mt7Dgkr+D+7Qj/1Jypbams2dQh9ZFFRQMGg1OvSIx7PvdzkbdqDHuk6aRO/95ZE5pPfKXLCJr2FCyRjxMwUcfot+yodKgFEB/4iza+qFoQoNAo8F9QC8Ktu2rsV83g/HsWdR166IKtvrpHBmJfo/9g2+aiAg8pk4le/ZsZHbNj/d19CfOom0QiibUquE2oCcF2/fWLLNGQ/A788n7ZTMFGyveFB1hOnMGTWipT069I9HvsW87TURjPJ+dRs685+190mjwenERxRs3oN+5naKf1pA17gmyxj2B/vddBDzYCwD39k0w5xaWTJVfx5iahTm/GPf2TQAIeLAXWRusSx+yNh4kYKg1f8DQ0v2GhDS8ultHJjPX7sWcV8jJ+58ne/Mh6s8bTtrq7RgSM/40PbWnK0JrHcsIfLQPuftO2a3tcxvQm/x11ofs9Cevn5u2tuvfi8IdNWs7daA/wkkHgMrDHee2LTDGO76Xxa3cxMbo2WyMnk3CukM0HGLt537tIzDmFTlcS1oZCesPEXh3cwB0vu54hIeQf8W6tKPo2Dl0DUPR1g0CrQave3uQv8V+GUfelv14/dsaaHkO6EbBXut63PydMTg1bYhwdgK1Ctc7W6E/f5Wsr37jfNfhxPUcTfxDM9DHJ3D5sedrXN9bRW21XdKn64ntM4PYPjPIWH+AQNs559G+Mea8Qozl2s6Ymo25oAiP9o0BCBzai4wN1rX4zmWu0X79OlEUV/lbUyrhqpTyemf/EmvwBfAtgBDCC/CWUl6/2XwG9CiT/2sAKeVOwNMWoHUDvrDt3wr42coB+FlKWZMF/l2A668G+aJMvQDWSCktUspTQFAVZewCugsh7sA6CpwihAixlb3HVuaPUsoCKWU+8APWQBbgkpTyuJTSApwEtkjr8PlxrCO+YB1RniWEOAJsxzoDff1puS1SyhwpZbFN2/5p0kpQRkwVALi25Qh1I9sw+Pc3MRcZ2DW1NCAauPFlfu47B9cQX9pMHkT2+QQGbrA+BXr6002c/3o7/m3Cifx4Cjov69rTdtMGsybS8frta1uOEBrZhn/btHY70ALoMOdhwh/oisZFx5BD73H+q+0ceesHgrs2p8PzDyGlJGXfWfbNWVmlbymbjxAU1ZbofW9jKtITO2V5SVrvza+wrc9sAFrMe4S6D3RF7aKjX8xSLn+1nTNvfE/46L4E9GiJNJow5BQQM6mKNaAWM/kfvIPXK29YXzm08TfMl+NxHT4a07kzGPbtwe3JpxAuLnjOfREAc2oqeQtmV+mDQ8wW0l/5gJDlr1hfp/TjRowXLuMzYTj6k+co3L4Pp5ZNCH7nBVSeHrj16ozvhOFcHWSd1arz2ZvowuoiXF1osPlLUl94m6I9h2uobSbv3Xfxef11q5/r1mGOj8dt1ChMZ8+i37MH96efRri44PWi1U9LSgrZc+bcoH/vE7zM6l/ejxsq+teiCUHvzkfl4YFrz874jB/GtQfG4t6/J84dWqHy9sTj/r4ApM19HcPZiq9pKsFiJm/pO3gveQOhUlG0ztp2biNHYzx7BsPePbiPtbXdCzafUlPJmTcbp1690bZug/D0xLlffwDyXluM6UIchv37sDTpRds9/8Fie13UdVptepPj0dMAuDRrecnrm7K3xZC9NQawTqE3XjadgIejMCSkc27cGwBce2c1jd6ZSOstb4MQXHn5C0yZeajdXNB4uVN/7jCwSPQJabi2aEjhyfib0nNpXJdG704Ci4Wic9e4MK30VUrC2QmXzh1IX/hOSdtlvPo+wR++CioVeWusbec9fgSGk+co3LEXXYsmBL29AJWnO649O2MeP5yEfz+JNrw+ftPGIaVECEHOZ6sxxsVXe7okbTlCSFRb/rX3LUxFBg48W9rP+256hY3R1j7Weu4jNLBdV+47vJSLX23j5Js/kLztGME9W9F/x2tIs4UjC7/CkJVvnYg0W0h+8UPqr1yIUKnI/m4T+vNXCJjyOEXHz5O/ZT/ZqzYS+uZ0IrZ+hDk7j2uTrW+8sOTmk/nJGsJ+fBuQ5G8/RP726h9urCkz5i/mYOwxsrNziRr0OOPHDGPwff3+eIF/QdtlbY7BN6o9Hfe9j6VIz7kp/ylJa7f5dWL7zAAgbuZHJa+LytoaS9aWWADC5jyOS0QdsEiKr6UR91x1A6QVKL9W4fp2wU3kr2q9TE3LrUqn7MLkSteaSCkThBA+QH+so6e+wFAgX0qZJ0SV61TKaljKbFsojR8FMFhKebZsRiHEXeXym6lhzCluZO3I/wpCiAXXp+/L/v1P4dPQx2ut0WuyMuvPxNtc8enzW0m3Njf8y/ymyEmoveXQ7v61+0BGQYauVvXcA2vPv4unb/yhrb8TQQF5tap3ILX21mS2cr3x0f6bofH+pbWqdy3qBl/jdjNaKVW/GeNW0D35uypvQ7a1lJeArlLKvUKIj4AzwESsU+zpNrujwDNSyl22daJeUspnbWtMz0gpn7KtE/1QStlKCPEekCalXCiE6AW8LaVsZ8ubL6V8w1buYGCglHKEbXskpWtMfwZWSym/sO2/X0r5gG2N6drr60qFEPlSykqfALbZR9r++WGd9v/OVv/2wEqs60gF1rW2w7BO5a+VUrYsU8ZaKeV3tmO2VkrZUgjxCta1tROllFII0U5KGetgicJa4A0p5faq2gOUqXwFBQUFBQWFfzangRG2daS+gKNpsRHA6zabtsBLZdKyhBB7sD4cdf2rDQuAjjb7xbb8jtgG3CGEOCKEeKhc2iRglK2MYcANPkFawi5AI6WMA2Kw+rgLQEoZgzUwPYA1KP2vlDL2BspeCGiBY0KIE7btm0KZyldQUFBQUFD4J2ORUj5Vbl/DshtSyiNYRxUd8b2U8vly9pnA/eUNy8/Q2uw6lTNbaUuLxzrKWb6MkeW2K39fojX9Y+Bj299GwK1c+lvAW+X2xWN9iKuCZtk021rZCsPuUsqV1/2wbd9bVR3LooyYKigoKCgoKCgo3BYoI6YKCgoKCgoK/0jKjwz+gfy9/rTK3ARCiFbY3gJQBr2U8q6/oj43gxKYKigoKCgoKCj8jZFSHqf0Pal/a5SpfAUFBQUFBQUFhdsCJTBVUFBQUFBQUFC4LVACUwUFBQUFBQUFhdsCZY3pP5CokKRa1dPoau+l9zqP2n3B/qpT9WpVr46x9vzTZ9Tu5xHy1bWrl5VTi2Ia6GqsyRcI/55kZ7nWqp6PxVxrWhZZu+dlbb7wHqDuluXVG/1ZWkDqfU/Ump7C3xNlxFThllKbQamCwu3K/3JQqqBQU5SgVKEmKIGpgoKCgoKCgoLCbYESmCooKCgoKCgoKNwWKIGpgoKCgoKCgoLCbYESmCooKCgoKCgoKNwWKIGpgoKCgoKCgoLCbYESmCooKCgoKCgoKNwW/FPfY1oshFhg+7vhX1gPBQUFBQUFBQUFG//IwFRKufj632UCVAUFBQUFBQUFhb+Qf2RgqlAR5y6d8Jk+AVQqCtb8Ru5n39ilO7Vrhc+0CWgjwkmfs4iiLTtL0urt34gx7hIAppRU0qfOq1LL6a5OeE15BtRqCn/5lfwvvrZL17VtjefkCWgbNSJr/ksUbyvV8hw/DqeunUEl0B88TO7bS6v1TdvxTtyemohQqyhe9ytFq76y9/3fQ3Hu/y8wm7HkZJP/1hIsqSkl6cLVFe+PPsewZxcFH7xbrR5AtxeH0SCyLaYiPVumriD9RLxdusZZR79lk/BsEIg0W4jfHMu+xd8C0HRId7rOeYSC5CwAjq/cxOlvtlep12rRcIKi2mIuMhAzeRk5x+Mr2DSfNZR6Q7qj83ZjbaPRJfsbDo8ibFQ0mC2YCvQcmfFf8s4lVKrVbuFwQqLaYC4ycGDKcrIcaLWaNYSGD3ZH6+3GDxFj7NLq3XcXLaYPBinJPnmFfRM+qNK3zi8No57tWO58dgUZ5Y6l2llH1PJJeNiO5ZXNsRx61Xosg+9qyl0LhuHbvB7bJrxP/K8Hq9QCiHxxGGG9rXrrpq0g1UHbDfxwEl4NApEWCxc2x7LL1naeoX70e2Msrr4eFGcX8OvkD8lPzqxUK2zhaLyj2mMpMhA3ZSkFxy9VsHFrHU7EO8+gctaRvSWGS/M+AaDBvOH49O2INJgovpxM3JT3MecW/qkafvd2od70h3BpHMqxe2ZRcPQCAEKrodFr43Br0wgsksQXPyJ/3wk8eraj7oInEWoVGd9sIuU/39vpCJ2GBm8/i2urRpiy8oif8DqGa6m4tmlMvcXjrTZCkPT2N+Rs2AdA/dcn4hnVEVNGDmeiJ1Woe9OXRxAQ1Q5zkZ4Tkz4kz8H56NE6jJbvPY3aWUfalljOzvnMur9FA5q//gQqJy3SZOb0rE/Ijb1AQP8ORMwcirRItNJI0sKPULk6E/LCWFCpyFq1kfRl31Xwre4bU3FuGYE5O4+rE5dgTEhFGxpI400for9o7VNFR86SOPeDkuMYsuAp3Dq3AouFlDe/wPz7tgr1d+naEd+Z4xEqFXk/riPnk2/t0p3bt8L3uafRNQ4ndebLFG7eBYAmJJDAt+aDSo3Qqsn9+ifyVq+tUP6NMPeVt9j5+wF8fbxZ8+WymyoLwKmz9X4g1CoKfv7N4f3Aa8oEtI3CyXxhYcn9QNe+LV6Tx5fYaRvUt6bv/P2m66Tw16IEpgqgUuEzcxKpE57DnJJG8Of/oXDnXkyXLpeYmJJTyVjwGp7DhlTILvUGkh+r4Wf0VCq8pk8mY/IMzKlpBHy8jOJdezDFl2qZk1PIXrQE90cfssuqbdkCXeuWpA23Bjr+y95D164NhtijVeq5T5hCzvPTsKSn4b10OYZ9v2O+UkbvwnmyJ44FvR7ne+/H7YmnyHvlxZJ01+FjMB6vQqMc9Xu3wSssmP/rPo2gdo3o+cpIvh+4oIJd7PJfSdx7GpVWzcBvZlO/V2uubD8GQNwv+9g17/Ma6QVFtcU9PJjNXabi0z6CNktGs/OeFyrYJW+M4eInG4ne+5bd/ms/7CH+8y0ABPdtT8sFj7P30SUOtUIi2+ARHsxvXafh1z6CDotHsflf8yvYJW6M5fwnm7hnz5t2+93Dgmg+cSBbBi7AmFOIk59nlb7VjWyDZ1gwq7tNI6B9I7q+OpJf7ltQwe748l9J2mM9lgO+mU3d3q25tu0Y+QkZ7Jy6nFbj7qlS5zphvdvg0zCYj3tMI6RdI6JfHsn/3V9R7+CKX7lqa7uhX88mrFdrLm0/Rs+5j3Lq+92c/G4X9breQfdZQ1k3xfHN2zuyPc7hIcR2fQb39o0JXzyW4/96voJd+OKxXJixjPzD52j+f3PwjmxH9tZYsnce5fIrX4LZQoM5j1N34r+5/PKXf6pG4dkrnBnzGo1es+/fQY/1AeBo5FS0fp60+HoOZwc+R71F44h7bD7GpAya/vIGOZsOUHz+akk+v4eiMefkc6rHU3jf1506z48gfsLrFJ29zNl7p4HZgibQh2br3yFn8wEwW8hYvYW0z36lwdtTKtTbP6otbmEh7O48Ba8OEdzx2hPsHzC3gt0dr43h1PSPyDl0nvZfzcI/si3pW4/Q+IXHuPjG96RvPYJ/VFuazHuMQ/9+icydJ9i7/jAAYR38qb90JkKj4dLwuZiSMwhf8zZ5m/ejjyv1zWdoX8y5BZyPHIvXvT0InjmSq5NeA8BwOZkL91YMqgMmDMWUkc35qHEgBGpvD5zLG6lU+M2eSPK4mZhS0qnz1fsUbt+L8eKVEhNTcipp817Ha4T99dmUlkni8ClgNCJcnAn9/iMKt+/FnJZRoS41ZdA90Tw6eCCzF77xh8soQaXCe9pk0m33g8BPPnR4P8hauASPx4baZTXEHCFtxFgAhKcHwau/QL//0M3X6QYQQgwE7ig7C3sDeVcCa6WU3wkhpgArpJQVf1n+sXr1AqZLKe/9M8qrbZSHnxTQtWiG6WoC5oQkMJko3LgN155d7WzMSSkY4y4iLfKmtLR3NMN0LRFzolWraPNWnLvfba+VnILpwkWwlP+cqQSdDjQahFYLag2WzKwq9TRNm2NOTMCSbNXTb9+Krks3Oxvj0VjQ661/nz6Fyj+gJE0d0QSVjw/Gw9WPtF0nrG8Hzn6/G4CU2AvoPN1wDfS2szEVG0jcexoAi9FM+vF43EJ8a6xRluB+HbiyyjpCkhUTh9bTFadyetfT9KnZFfab8ks/l6l2dQIqb+PQ/h2IX23VyrBpOTvQyoiJo9iBVvhjkcSt3IQxx3r91WfkVulbg74diPvOeizTYqzH0qWcnrnYQNKe0mOZcaL0WOZfSyfr9NUan7cRfTtw0tZ2SbEXcPJ0w81B210t03YpJ+Jxt+n5NQ7l8u6TAFzdc4qI6A6Vavn270Ta6h3WesacR+PphracljbQG7WHK/mHz1mPweod+Pa/E4CcHUfBbO0jeTHn0NXx+9M1is4nUHwhsUK5Lk3qkr37OADGjFzMuQX4Du6NPj4Zw5UUpNFE1i+78Op7p10+r753kfHdVgCyf/sdj7tbAyCLDSW+qJy0dqdgwYFTmLPzHR7DgP4dSVxtHUHLORyHxtMVXTn/dIHeaNxdyDl0HoDE1TsJGNDRmiglag8XADSeruhTrNcTc6G+JL/KxRmcdOgvJ2G8avUtZ+1OPKI72+l49OlM1vfWH3g563bj1rWNwzqXxefBaNI+XF1SF3NWxf7g1LIpxquJmBKSwWSiYP12XHvZX59NiSkYz1+C8ue5yQRGIwBCp0Wobv6W37FtK7w8PW66HADdHc0wXUsouR8Ubt6Kc49y9x7b/UBWuB+U4tK7B8V7DyD1+kpt/myEEBop5c9/JCh1wBTA9Ub1/wTd2xIlMFVAHeiPOSWtZNuUmoY60L/G+YVOR9Dn/yHo06W49Ly7Slt1gD/mlNSSbXNaGuqAmmkZT5zCEBNL8C/fE/TLd+gPHMR0+UqVeVR+/ljSSvUs6Wmo/CvXc+5/D4aD+60bQuA+djwF//2wRvW7jluwD/mJpSMSBUmZuAX7VGqv83SlQZ92JPx+smRf+IA7eWjjK/RbNqkk6KkMlxAfihJLp4uLkzJxCalczxFho6KJ3vc2LeY9yrE5lY/UugT7UljGt6Ib1PJoFIx7eAhRP82nz9oXCe7dukp712AfCsroFdbgWNbr047E3ScrtakK92Af8pJK9fKSM3GvQs/J05VGfdpxxdZ2aaeu0OSeTgA07t8RJw8XnL3dHdc12Bd9YnrJtj4pA12IfXCpC/HDUMZ/fVIGuuCK50Pgw1FkbY29pRplKTx1Gd9+nUCtwqleIC4tG+HcuC6GMlqGpAy0QfZa2mBfjNdtzBbMeQWofaxBjmvbJjTbvJRmG9/j6uwPSwLVqnAO8aU4obTuxUmZOJfrL84hvhQnlekfiaU2Z+d9RpMXHqNHzAc0mf84518unUYOHNCJu3e/SYOP55P19QaMSWWukUnpFX0L8iu1MVuw5BWi9rHOCOjqBdHol3cJ+/pVXDu1AEDoDMUaAAAgAElEQVTl4QZA0NRhNPr5Heq9Pwu1f8UfeepAf8zJpdrm1HQ0QTW/PquDAghdvZx6G74i+9Nvb2q09M9GFeCPObXM/SA1HXVAQBU5HOPaJ5KiTVv/UB2EEGuEEIeFECeFEGNt+8YIIc4JIbYLIT4SQrxv279SCPGWEGIbsEQIMbJMWpAQ4kchxFHbv65CiIZCiBNltKaXf65FCDEJqANss5WLECK/TPqDttFVR/p3CiH2CCFibf83/UMH4Tbjfzbi/qMIIWZBxdmU/wWklAtuwLjGpon3PoI5PQN1aAhBH76BMe4ipoSkSqyFo3rVSEcdWgdNwwakDLJOV/m9+wb6tq0xHDlWeSZRUa+yAUGnyGg0jZuSM2MyAM73DcJwcD+WtDTHGSqVdKTpWFSoVUS/P4Hjn24g94pVJ35TLOd/2ovFYKLF45FEvj2Onx9+tSrBmspVyqVPN3Hp003UfaArTZ8dRMykStaOOXDtRsRUajUe4UFsHbwI1xBfIte8wPreMzE6WBsJjo9lZeeLUKvo9cEETn2ygbwrN9ZmJWU4crAKvXuXTiDm0w3k2PS2v/wVUS+NoMWD3bl24Cx5SZlYzGbH+Wtwnjg63OXP39DJg5FmM+nf76xg+mdplCfl6y24NA6lzfrX0F9Lo+DwGQczHBW1quqPhUfOcabPRJwi6tLgrcnkbj+M1BurroijqlfQdGgEQN2R0Zx94XNSfz1A0MDOtHh7HIeHvAxA6rqDpK47SESvBoS8+BRFR89V45tjHVNaJme7jcKcnYdzy0Y0WDaX8/3HIzRqtHUCKDx8iuSX/4vfmEGEPD+arAXl+voN9AFHmFPSSBgyDnWAH0HvLKBg004smRVnM/4SbuBaWRkqP180jcIo3ud4VssWbI4ts2uFlHJFme3RUspMIYQLcFAI8SswD2gP5AFbgbJruZoAfaSUZiHEyDL73wN2SCkfEEKoAXeg2l/tUsr3hBBTgd5SyvTq7MvpewI9pJQmIUQf4BVgcA3KuK1RAtOKON9QAPc/gDk1HXVQ6a9UTWDADf2qNqdbbc0JSRQfPoq2WeNKA1NzWhrqoMCSbXVAAJb0mmk59+yO4cQpZFExAMV7D6BrcUeVgaklPQ1VQKmeyj8AS0bFvq9t1wGXR4aRM31SydSXpnkLtC1b43zv/QgXF9BokUVFFH6yokL+liP6cMcjvQFIPXoR9zLTqm4hvhSkOL4R9FoyhpxLyRz7eEPJPn2ZactTX22j8/MPV8gXNiqaho9Z9bKOXMSlTukokXOIL8XJVS9xqIxra/bSZslou30RI6MJt2llHr2IaxnfXEJ8KUqu+U2uMCmTjMNxSJOZgqtp5F1IxCMsmMyjF0tsmo/oQ9NHrXrpRy/iVkbPNcSXwkqOZbclY8i9lMzJMseyJrQd3ofWtrZLPnYRjzIjih7BvuRXotd38Riy4pOJKaNXkJLNz+OsD8hpXZ1oMqAThrzSpRLBI/uXrM/MPxqHUx1/8mxpTiF+GMo9KKVPyrCboncK8cOQUmoTMKQXvn06cHLoglum4RCzhfj5K0s2W//yMkWn4vF9MLJkny7ED2OqfTnGpAy0dfwxJmeAWoXaww1zdp6djT7uGpZCPc5NG1B0LK6CtP/we2j0cD8Aco9cwDm0tO7OIb7oy537ZUdIAZzrlPaPOkN7ljwIlfLzPlq8NZbyFB48icbHE139kJJ9mhD/ir4lZ6ANCcBk803l4Vrim9lg/b/4xAUMV5LRhYVSfDwOS2ExuRv2Wn35bTc+Q6Ir6JtT0lAHl1leFOiPOfXGRz3NaRkYLlzGuX2rkoej/mosqWmoA8vcDwL9MafXJDYrxSWqF8U7dkMlPwBtQWjFi3Ypk4QQD9j+rgcMwxpgZgIIIVZjDQavs1pK6UgsEhhu0zQDOUKIG5u6qhll9b2Az4QQjbH+xNPeAr1aR5nKV8Bw6gzaeqGo6wSDRoNr394U7dxTo7zCwx201r6g8vLEqU0LjBcvV2pvPH0GTd1Q1CFWLZc+kRTvrpmWOSUVp3ZtQK0CtRqndm0wxleuBWA6ewZ1aF1UQVY9p16RGPbZP7WpbtQY90nTyJ3/PDKnNAjJX7KIrGFDyRrxMAUffYh+ywaHQSnAic82s6r/HFb1n8OlDYdpOti6jjWoXSMMeYUUOlhveeeMB9F5uLB7gf0DK2XXozbs24GsuIpr/C59uoltfWazrc9sktYfov7Q7gD4tI/AlFfkcC1pZbiFBZf8HdynHfmXku3S41ZuYmP0bDZGzyZh3SEaDrFq+bWPwJhX5HAtaWUkrD9E4N3NAdD5uuMRHkL+lVQ7m9OfbWZNvzms6TeHy+sPE/Gg9VgGtG+EMa+QIgd6HWY8iNbThX3zv6yQVh1HPt/M5wPm8PmAOcRtOEwLW9uFtGuEPq+QAgd6d09/ECcPF7aWazsXH/eSUaC7JgzkxLc77NKTV67naPR0jkZPJ3PdAQKG9ATAvX1jTHmFGMtpGVOzseQX4d6+sfUYDOlJ5nrryJB377aEPjOI0yMXYyky3BKNylC56FC5OAHg1aM1mM1krd2NU1gIunqBCK0Gn/u6k7PpgF2+nE0H8LMFr9733E3eHuuPSl29QGu/BrShATg3CsVwNQVHpH/+G/uiZrEvahap6w5RZ0gPaz06RGDKK8RQzj9Dajam/GK8OkQAUGdID9LWWx+S0Sdn4dP1DgB8u7ek8KL13HdpGFSS37lFI+vy9tBAtHWDEFoNXvf2IG/zfjudvC378RkcZa3LgG4U7LX6pvb1BNvaTm29IHQN62C8YtXJ3XLA+kQ+4Na1jd3DVNfRnzyLtn4omlDrNcytfy8Kd+x1eGzKow70RzjpAFB5uOPctgXG+IoafxWG02fQ1Cu9H7j2iaR4V818u45rdCSFf3wavxfQB+gipWwDxAJnq8lWcAMSJuzjrJrOxpYdNi6fp6z+QmCblLIlcN8NlH9bo4yYKoDZQubrSwlcugTUKgp+Xofx4mW8xo3EcPosRTv3orujKf6vv4jK0x2X7l0wjx1B8kNj0IbVx3f2s9ZF9ypB7mff2D3N70gr56338Hv7NVCrKFy7DtOleDyeGIXhzFn0u/egbd4U31cXIjzcce7WBfOYUaQ9PoribTtw6tCOgC8+ASnR7z+I/vdqLmIWM/kfvIPXK2+ASkXxxt8wX47HdfhoTOfOYNi3B7cnn0K4uOA51/okvjk1lbwFs//w4by89Qj1I9vw2O43MRUZ2DqtNJgduv5lVvWfg1uwLx0nDSLrfAJD1y0CSl8L1XpUXxpGt8diNqPPLmDr1OVV6qVsPkJQVFui972NqUhP7JRS+96bX2FbH6svLeY9Qt0HuqJ20dEvZimXv9rOmTe+J3x0XwJ6tEQaTRhyCoiZVPma2qQtRwiJasu/9r6FqcjAgWdLtfpueoWN0Vat1nMfocEDXdG46Ljv8FIufrWNk2/+QPK2YwT3bEX/Ha8hzRaOLPwKQ5bjB1sArm49Qt3INgzZ/SamYgO7ppYey0EbXmZNvzm4hvjSdvIgss8nMGi99VieWrmJc19vx79NOH3+OwWdlyv1o9vRfupgfoiaVanexa1HCOvdhid2vYmxyMD66aV6w9e9zOcD5uAe7EuXSYPIOJ/A8N+serGfbeL4N9up16U53Wc+hJSSa/vPsmXeykq1srbE4B3VnvZ7P8BcpCfu2dLXZrXZ9AZHo6cDcGHWChrbXuWUtTWW7K0xAIS9/AQqnZYW31jfwJAXc46LM1f8qRq+A+4kbNETaP08af7FbApOxnP6kYVo/by44+t5SCkxJGUSP+VtMFu4Nm8Fjb5YYH1d1LdbKD53leCpj1J4PI7cTQfI+HYTDd55ljt2LsOUnUf8M9Ynu9063UH4+MFIowkskqtzlmHOso4yNlw6DfcuLdH4eNJi/8ckvfU1aZ9bf1ymb47FP6ot3fa/i7lIz8nJpUtQOm9ZzD5bW5+e+TEt33salbOO9C1HSN9yxHqeTFtBs0UjEBo1Fr2Rk9M/AiDo3ruoM6Q7FpMZjaGYq5OWoHJ3peFnLyFUKrJWb0J//gqBUx6j6Ph58rYcIOvbjdR9axqNt67AnJPP1UnWN1u43dmSwCmPIc0WMJtJnPsB5hzrOZ+y5FPqvjUN9bwnMWXmkvDcO+jKnyhmCxmvvk/wh6+CSkXemg0YL1zGe/wIDCfPUbhjL7oWTQh6ewEqT3dce3bGPH44Cf9+Em14ffymjUNKiRCCnM9WY4yLr/ScrAkz5i/mYOwxsrNziRr0OOPHDGPwff3+WGFmC9lvLsX/nSWgUlNw/X7w5EiMp89RbLsf+C1+CeHhjku3LpifGEnqY9ZZHXVwEOqgwKrfzFI1XkCWlLJQCNEM6Ax8BPS0jXbmYZ0aP16DsrYATwPv2Kby3YAUIFAI4QfkA/cC6x3kzQM8gOvDxSlCiOZYg+QHbOmV1f/6u/1G1qCOfwvEjaxV+V9ECLGg7NR9+e3/Ra50jKq1Rtfoqn+A4c9E51G7eqtO1atVvTrG2vNP72j91y0kX127elm1OF/U1VhUvdHfGBetqVb10vQutaZVx63yH063AjeP2nuyHKDulqp/+P6ZpN73RK1pXSd079ZKLyxCCCdgDRCKNQgMABZgnbqfDiQCp4FMKeWcsq94suUfCXSUUj4jhAjCumQgHDADT0sp99oebpoEXMIaRMZLKReUe13URGACkCSl7C2EeBBYAlwFTgDuUsqRDvS7AJ8BaVjXwg6TUjb8u78uShkxVVBQUFBQUPjHIaXUAwPK7xdCHJJSrrC9kulHYKPNfmS5/CuBlba/U4D7HWi8h/XBqPL7R5b5eymwtMz2d8B3VeWxbe/Ffv3rPNv+7cD28vn/LihrTBUUFBQUFBQUSlkghDiCdbTyEtZRVYVaQhkxVVBQUFBQUFCwIaWc/lfX4Z+MMmKqoKCgoKCgoKBwW6AEpgoKCgoKCgoKCrcFSmCqoKCgoKCgoKBwW6AEpgoKCgoKCgoKCrcFSmCqoKCgoKCgoKBwW6A8lf8PZG9CcPVGfyIh0lC90Z/EBbVTrWkBNDUZa1WvYUDNP/95s2ida/el6bX8Pn/yMmvx631aiCm6FZ/Ndoyllo9lLX73AYBA4fi76LeCk0VetaYFUKewdl+wr6vll94H/vLfWtVT+PuhBKZQLIRYUGa74V9Uj/9JajMoVVC4XanNoFRB4XZFCUoVasI/PjCVUi4uu10uSFVQUFBQUFBQUKgllDWmCgoKCgoKCgoKtwVKYKqgoKCgoKCgoHBboASmCgoKCgoKCgoKtwVKYKqgoKCgoKCgoHBboASmCgoKCgoKCgoKtwVKYKqgoKCgoKCgoHBboASmCgoKCgoKCgoKtwX/+PeYKpTSbuFwQqLaYC4ycGDKcrKOx1ewaTVrCA0f7I7W240fIsbYpdW77y5aTB8MUpJ98gr7Jnxgl95o0Sh8o9pjLtJzbvIH5B+/VKF899bhNH13AipnHZlbYrgw91O79LpP30f4/OHsuWM0psw8/Pp1pMHMh8EikWYzefP/j9SD56r0866XhlE3si2mIj27n11Bxgl7P9XOOnqvmIRHg0Ck2cLVTbEcfvXbKssEaPLySPyi2mEu0nN60ofkOfDPo3UYd7w3HpWzjowtsZybs7LUtzH9qTu6H9JkJmNzLHEL/68kzSnUj8673iL7wy/IWfldyX6XuzviP+sphFpN7vfryP54lZ2ec4eW+M98Cl2TcFJmvELBpt0laSHLXsapdTOKY0+SPOGFav0DcO7SCZ/pE0ClomDNb+R+9o1dulO7VvhMm4A2Ipz0OYso2rKzJE0dFIjvvGloggJAQurk5zEnpVSr5z3NpvfTb+Q50POeatXLmLOIoq3l9OZOQ23TS5tSvZ5bjw4EzxuLUKvI+nYjGctX26ULnYY6b0zDpWUE5qw8rk1ajDEhFc+BvfB/cnBpvZo15OLAyehPX6xSr+PCYYTazsW9z64g00GfazNzCOFDuqHzcuPbxqVf6XEN9aPrO+PQebkiVCpiX/mWxK1Hq9Tr9JJVz1yk5/dnV5BZ7twHaDtzCI0etOp93aRUz62OH3e/Ow6dp1Uv5tVvSahGr/NLw6hn829nJX0tanlpX7uyOZZDtr4WfFdT7lowDN/m9dg24X3ifz1YpRZAi0UjCIpqi7nIwJHJH5Lj4Hg2mzWUukN6oPV2Y12jUSX7fTs3o+VLw/G4oz4xT71H0toDVWrd6utlecIXjcY3qh2WIgNnJ79PQSXXzyYl189YLs79BIAGzz2MX/9OSIsFY3ou5ya/jyElq1Itp86d8JryDEKtouDn38j/4mu7dF3b1nhNmYC2UTiZLyykeJu13+nat8Vr8vgSO22D+tb0nb9X6VtVzH3lLXb+fgBfH2/WfLnsD5ej8PdBGTFVACAksg0e4cH81nUah2Z8TIfFoxzaJW6MZdM9FYMY97Agmk8cyJaBC1jfayaxL3xhl+4T1Q6X8BAOdpnI+enLiVjypMPyI5Y8ybnpyznYZSIu4SH4RLYtSXOq44d3j9YUX0sr2Ze16wQxkdOJ6TODc1P+w91vVP15vbqRbfAMC+b7btPYM/Njurw60qHdiWW/8mPP5/i53xwCOzUhtHfrKsv1i2qLS1gweztP5sz0j2j62hiHdk1fe4LT01ewt/NkXMKC8bP553N3CwL6d2R/7xns7zmdyx/+YpevyUsjyNhyxL4wlYqAuRNIenouVwY+ifs9vdGG17czMSWlkTr3TfJ/21ahLtmfrib1+deq9Ku8ns/MSaROep6kIaNx7ReJJqyBvV5yKhkLXqNww5YK2f1emkneF6tIGjKa5BHjsWRW83lVlQqf5yaRNvl5koeOxrWvY73MFx3r+b44k9wvVpE8dDQpI2umF7Lgaa6Mnk9cv6fxuq8Huoh6dibeQ/phzsknLvJJMj5dQ+BMaz/J/Xk7F++byMX7JpIw7Q2M11KrDUrrRLbBIyyYn+6exv7nPubOSs7FhE0xrL9nfoX9rSbfz+Vf9vNb37nsfvr9SvNfJ9R27q/pNo29Mz/mrkrsr22K4bd/OdaL/2U/a/vNZef497nrlar1rve11d2msXvmx3StRO/48l/5vtdzrOk/h6COTahr62v5CRnsnLqcC2v2VKlzncCotriHB7O1y7Mcnf4RrZY47oPJG2PYNWBuhf1FCenETl5Gwo/VB1G3+npZnuvXz0NdJnJ++jIilox1aBex5EnOT1/OoZLrZzsArv3nJ2IipxHbZwaZmw5Tf+qQysVUKrynTSZj6ixSHhmFa3Qkmob2/c6cnELWwiUUbbLvd4aYI6SNGEvaiLGkT5yG1Bej33+oSt+qY9A90Sx7a9FNlfF3QAjRSwix9q+uR1lsdepa27pKYKoAQGj/DsSv3gVARkwcWk9XnAO9K9hlxMRRnFrxBh/+WCRxKzdhzCkEQJ+Ra5fu368TKat2AJAXcx6Npxu6cuXrAr3RuLuQd9g64pmyagf+/e8s1XhpJJcWfglSluyzFBaX/K1ydbZLc0T9fh2I+846apgWcwGdlxsu5ephLjaQvOe0tXyjmczj8biF+FZZbkD/TiSvto4a5B6u2r/cQ+cBSF69k4ABnQAIHRFN/NKfkAbr9+mN6aXHz39AR4oup1Bw9qpdeU6tmmK8kojpWjKYTOSv245bZBc7G1NiCoZzl5CWih8zL9p/BEthUZV+2dW/RTNMVxMwJySByUThxm249rS/ZpmTUjDGXURa7NtBE9YA1GqK9x8GQBYVI/VVfxNc16IZxrJ6m7bhUole+XbXhDVAqNXoD9Rcz6VNEwyXEzFeTQajiZy1O/Ho09nOxqPPXeT8YL0Z567bjVuXNhXK8bqvJzlrd1SpBVCvXwcu2c7F9ErOxetpRQ76HBK0Hi4AaD1dKapiBOy63oWb0QO07qV6hdXoNehbrq95Ou5rSWX6WsaJ0r6Wfy2drNNXK5xLlRHcrwNXV1mvYdm2a5iTA/+yY+LQO/Cv6Go6eaevQA30bvX1sjx+/TqRumo7cP366Yq2nJ420Bu1u2vJ9TN11Xb8+luvL+b80n6ucnUCKvdRd0czTNcSMCfa+t3mrTj3KNfvklMwXbjo8LpyHZfePSjee6DaflcdHdu2wsvT46bKUPjD9AKUwFThr8El2JfCxIyS7aKkTFxCav59b49GwbiHhxD103z6rH2R4HIjjLoQX/RlytcnZaArF+zpQnzRJzm28e3bEUNSJgWnLlfQ9htwJx13vUPLL59n97SPqqyna7APBWXqUZCUiWtw5X7qPF2pF92OxN0nqyzXKcSH4gT7ujuV888pxBd9UmapTWImTrZj7NooBO+7mtFx3SLa/zgfj7aNAOtNpOEz93Ppje8ojybQD1Ny6eixKSUdTaB/lfW8GdSB/phTyuilpqGuoZ62fl1kXgH+ry0g+P+W4T1pLKiqvvyoA+z1zClpqANqrmfJK8DvtQUEfbkMrxroaYL8MCall2ybktPRBvnZ2wT7YUyy1clswZJXiNrH087G8189yP2l+sDUpfy5mJiJSxXnYnmOvfkDYf++mwcOvUfvL2ZwcM7nVdq7BvvY9fHCas798hx98wfC/303gw+9R9TnMzgwt3q9gnJ6btX1tT7V97XKcA7xpbjcNcy5mh+Uf5Rbfb0sjy7Ez+76aUjKxCnE/tx0CvErd/3MRFfGpsGsR7jz8DICB3fn8muVL01SBfhjTk0t2TanpqMOCKixb9dx7RNJ0aatN5yvthFCNBRCnCizPV0IsUAIsV0IsUQIcUAIcU4I0d2WrhZCvC6EOCiEOCaEGGfb30sIsUMIscpmv1gI8Zgt/3EhRCOb3UohxDIhxC6b3b0O6uQrhFhjK3+fEKK1EEIlhDgvhAiw2aiEEHFCCH9bmR8KIbYJIS4KIXoKIT4RQpwWQqwsU25fIcReIUSMEGK1EMLdtj9eCPGibf9xIUQzIURD4CngWSHEkev+1wbKGtOKFAshFvzVlbgVSCkXVJooHGaocdkqtRqP8CC2Dl6Ea4gvkWteYH3vmZBjsJXvQKB88Q5tJCoXHfWn/JvjDzmezslYd4CMdQfw6tyc9jOGsuHhxZVXtBINh6ZqFT0/mMCpTzaQfyXNoU0Z6+rLdaB93URo1Gi93Tg0YC6e7RrR6qMp7Ok0kfAZQ7iy/FfMhQ5GHW7Al1tGTfU0apzatSTpsacwJ6fg/+o83O7rR8FP6yrPczPnpNqql/y4Vc/vlXm43duPgp+r0nMkWINKlamTS5umWIr16M9V/AFVUe7m2q/hoC5cXLWT08vX4d8hgq5Ln2Zt71mVl+Hw/LsxvQurd3LKptftvaf5ObJyPUf+VaYn1Cp62fpaXrV9rRJqsz/couulMbfQsVxN9Kqxubz4ay4v/pq6Ex8gZHR/rry+ykGGSsRu8Diq/HzRNAqjeF/164JvNUKIsUDZtQ8rpJQraphdI6W8UwhxDzAf6AOMAXKklJ2EEE7A70KIjTb7NkBzIBO4CPzXln8yMBGY8v/tnXe4XFW5xn9vGkkgCQQSEsBACIggNXREaQHkSpWiCEoRBUWKeAMKFsRKU5oiAgLSriKIAaQFCBBaSEjoQXqREggtQEh97x9rTc6cyZxzErLXzJzJ+j3PPOfsPTP7XfucXb79ra/Ez60CbAUMA+6QtFqF7s+BibZ3l7Qt8Ffb60u6DNgPOCOO5WHbb8VzbRlgW2BX4Drgc8AhwIOS1gdeAX4MjLD9oaTjgGOAk6LmW7aHS/ou8L+2D5H0J+AD26ct4N+rELJhWoHtdqya5mK1A7dn1f22AeDth5+j9wotT9e9Bvdn+usdxOSV8dFrbzN1wjN49hw+fPlNpj37KmseuSuf2modAKZNeoYlyra/xOBlmfn62622MfPVqa28AOEz79Bz5UH0HDKQDW8/dd764becwsSdfsSsN1vG+N79T7LqygNZYpmlmPHOB/PWf+aAEXw67udbk55jybJxLDm4Px+9UX0/tzjlm7z//Os8ccHNVd//zAEjWPtrWwPw/qRn6bnisrxXNvYZr7ee6pzxamsv6hIr9Gdm/MyMV6cy5YaQbPH+xGfx3Ll0X7YP/YavxsCdN2W1n+xHt35L0oW5eMZM3r9yVPCQDmrxZHRbfjlmvzmVVMyZ8lZIJCrpDRzAnAXUm/PGm8x86pkwLQ98NOYellh7LT6kbUOxUq/r8gOY89YC6k1prTd9zD30WGctaMcwnf36W3Qf3OKR7TZoOWa9MbXKZwYw+/Wp0LULXfr0Zs670+a933fn9r2lnz5wBKvFY3FqPBZLZtiSK/RnehvHYjWG7bsVt+8XYoTfmvAMXZfozhL9+7SaFl7jgBGsXqZXfo73Hrxweqt/dStG799ar2f/PnxcprfmASNY42vxXHu49bnWu51zbcuTw7n2+IXVz7W2WOWg7Rmy37YAvDvpOXpWXMM+fr39cIOFIfX1ss/QQbz9cEtc8uCDvsig/bYDYNqkZ1tdP3sM7s+MiuvnjPmun/3nu8YCvPnPu/nsZce3aZjOnfImXQcOnLfcdeByzHnrraqfbYte223Nx3eOhTlzFup7KYhG6IIaopVcE39OIBiTADsA60raKy73A1YHZgIP2n4NQNKzQMlgfRTYpmy7f7c9F3ha0nPAZyp0twT2jOO/XdKykvoBfwH+RTBMDwbKs4Ovs21JjwJv2H40juPxOPaVgLUIhjRAD+C+Nvb1yx3+ZRKSp/IXY565+FZu2f54btn+eP5743hW2Tt46pcdvhqzpk2vGhvVFv+9aTwDP7cmAD36L0WfVQcz+Q/X89CIkTw0YiRTb3qQ5ffZCoA+w1dn9rSPmFmx/ZlT3mXOh9PpM3x1AJbfZyveuvlBPpr8EvevfQjjNj6ccRsfzozXpvLQDscy68136bnKoHnfX2qdoXTp3q2VUQow+ZLRjNrhBEbtcAIv3Qv7wWUAACAASURBVDyB1fbaEoABw4cx8/2PqsbTDT92L3r06cUDP7uszX2efMloxm13HOO2O443b3yQQXt/AYC+G7azfx98TN8Nw/4N2vsLvHlT8Ci8eeOD9N/yswD0WnUwXbp3Y9bUaUzY7UTu3fgI7t34CF7+87955/z/4/0rRwEw47Gn6D5kRbqtuDx068ZSO23Nh3fc3+Z4F5WZT0ym+6dWpOsKg6BbN3rvsA3T71qwxJSZTzxFlz596LJ0PwB6brQBs55v36s484nJdB9Sprf9IuhtvAGzO9Cb/sh/6LHKinRfaXno3o1+O3+BD257oNVnpt32AP2+HIyFvjttyYf3PdLypkTfnbbkvevvoi3+c/Fo/r39Cfx7+xN45aYJDI3H4nLtHItt8eF/pzIoHjN9V1uBrkt0ny9W8alLRnP9DidwfTz2h5XpzfoEeoOjXr+o93GF3pOXjObaHU/g2h1P4MWbWp9rs6ZV19tw5F5079uL+9s519rihYtu5a4RP+KuET/i9ZvG86l9wjVs6eGrMWvaR1VjST8pqa+XH7w0pdVnXrvoJiaOGMnEESOZetM4Bu6zNRCun3OmfcSsCr1ZFdfPgftszdSbw/Wl59CW6+SyO27M9Gf+2+bYZj45mW6fWpGug+N5N2JbPr77vjY/X43e22/LR51gGj8ym9a2UM+y30tTVXNoceQJOML2+vE11PYtFZ8HmFu2PJfWjsBKF/R884dVxmnbLwNvRC/qptDqyb5cq3Ic3eI2by0b91q2v1nl++X7WheyxzQDwGu3TWLwduvzpft+x+zpMxn3/fPmvbfDrb/mlu2PB2DdH+/LyntsQbdePdhlwtk8d8UdPH76Nbx+xyMM2modvnjnKXjOXCb94gpmlhmIb49+iP7bbcDG958dyp0c3VIaZfjoU3loxEgAnj7u/JZyUbdP4p3bJrY77uV23pTl994Kz5rD3I9nMuY757T7+Vdum8RK267HnveczpzpM7n7mJYH6V1v+RWjdjiB3oP7s95Ru/Pu0/9l15tD+MCTF93K01eOaXO7U0dPZLntNmDzB85k7vSZPHHUufPe2+S2kxm33XEATD7uglguqjtTb5s0L9P+1SvvYM0zvsOmd57G3JmzeeLIP7a7HwDMmctbv/4Dg8/7Nerahff/eQuznn2RZQ7/BjMe/w8fjbmfJdb+NIPO+Cld+vZhya03o//h3+Dl3cOs1gqXnE6PoSuh3r1YefRlTPnp75l+74R29d4+9WwGnn0ydO3Ch6NuZNZzL9Lv0AOZ+eRTTL/rPnqstQbLnfpzuvRdil6f35w53z6A17/yTZg7l3fPPI+B554GgplPPs0H/7yhw/1755SzGXDWyahrFz4YdSOzn3uRvlHv46i37ClBr+eWm9Pv0NZ6A/4Y9GZNXjC9139+LkMu/gXq0oV3/3ErM55+iQFH78/0R5/mg9se4N2/38KKp/8vq91+PnPencYrR7VUNei9ydrMev2tkDy1APz3tkmssN167Hbv6cyePpP7vt9yLP7Prb/i39ufAMAGP/4qq+wezrk9xp/Fs1eO4ZHTr+Ghn1/Opqcdwprf+iIG7is7Z9vSW3Hb9djjnqB3b9mxv/Mtv+L6HYLe8BO+ytB4ju85/iyeuWIMD//uGsafdDmbnxr0MNzTgd7Lt4dzbe+xpzP749bn2u43/4prdwzn2vrxXNv9pnCuPXHxrfznyjEst96qjLjgaHr0682Q7Tdg+DF7cs12P2xTb8roiQzcbn22vf8M5kyfwaSjW8b3hdG/4a4RPwJgzZ98jRX32IKuvXow4qFzeOmKO/jPaVfTb/1V2fgvx9B96SVZfvvhrDFyb8ZsNbKqVurrZSXvjH6I/tsNZ6P7z2Hu9Bn85+iW68MGo09lYrx+PnPc+fPKRb1z+8R518+hJ+xPr9VWgLnm41fe5Jlj23EgzpnLu6efzXJnnAxduvLh9Tcy+/kX6POtA5n15H/4eOy9dF9zDZb97Umoz1L02nJz5hxyIFP2OxiAroOWp+vyA5k5sf1SYgvKyJ/9lgcnPsK7777Pdrvvz3e/+XX23GXHQrYdeQMYKGlZ4ANgZ+Cmdj5/M/AdSbfbniXp00Dbln519pZ0CTAUWBV4CijPtLyLMGX/C0lbE6bZS0+BFwCXAZfaXhiX9P3AHyStZvsZSb2BlWy3V19xGtC3nfeToIWJMco0B38bvF/N/umDPbNWUgA823WJmuoNmT2rpnqrDCjOA9QR3XvOrpkWLGCIZ4FMe7tnxx8qiIemL3hiTBHMrfHfclaN9QbOrt0U8Ueq7cTiCl60LPaFZdWh80/3p2LgdRfUTKtE9+VW7fDolHQkcCTwPMHIfIGQkf6/tsdLWg4Yb3sVSV2AXwK7ELyQbwK7AxvEz+8ctzmm7Pulbe0ck5HeATYClgeOsX19xWf6E6bphwIfAd+2/UjcbndgKrCJ7clx3cXA9bb/EZOWrre9dpX3tgVOBko3yh/bHiXpBWCjGK+6EXCa7a2j0f0Pgtf1CNt3L+CffZHIhuliSDZMiyMbpsWRDdPiyIZpcWTDtDga1TCtJeWG4if8/kbA723XLEu+1uSp/Ewmk8lkMpkGR9IPge8QpvmblmyYZjKZTCaTydQA2wcuwnd/CzR95aCclZ/JZDKZTCaTaQiyYZrJZDKZTCaTaQiyYZrJZDKZTCaTaQiyYZrJZDKZTCaTaQiyYZrJZDKZTCaTaQiyYZrJZDKZTCaTaQhygf3MAiPp27bb6WWX9RpRq9n1mnnfml2vmfet1nrNvG/10MvUj+wxzSwM3856nVKr2fWaed+aXa+Z963Wes28b/XQy9SJbJhmMplMJpPJZBqCbJhmMplMJpPJZBqCbJhmFoZax/c0s14z71ut9Zp535pdr5n3rdZ6zbxv9dDL1Imc/JTJZDKZTCaTaQiyxzSTyWQymUwm0xBkwzSTyWQymUwm0xBkwzSTyWQymUwm0xBkwzSz2CNpeUk7x9fAeo+nsyNpyRporJ1ao4rm1ZK+JKmm101JXST1TazRVdIKkoaUXgm1JGl/ST+Ny0MkbZJQb+da/89qjaQVJW0h6QulV73HVASSPrcg6zLNRU5+ylRF0jSg/OBQXBZg20lulJI+DYwEVga6ldbb3jaR3j7AqcAYwr59Hhhp+x8JtA4HLrf9blxeBtjX9h8L1LiO1v+3VtjetSitKtpbABcAS9keImk94FDb302gNRboAVwMXFH6m6ZE0gjgIGAz4CrgYtuTE2ldARwGzAEmAP2A39k+NYHWEcDPgDeAuXG1ba9btFbUOzfqbGt7zXge3GJ740R6lwGbA1cDF9l+MoVOmd4SwJ7AKrS+hp2USO9k4CvAE4TjJcoVd67X67oi6SHbwztal2kusmGaaSgkPQz8iXAzLl1ksT0hod72tqfE5QHAaNvrJdCaZHv9inUTbW9QoMZW7b1v+86itKpoPwDsBYwq7ZOkx2wn8W5KWh04GNgbGEcwOm5NoVWh2w/YFzgBeBk4H7jM9qwCNSbZXl/SfsCGwHHAhBTGoqRngE1tTy16223oPWR7ePmxL+nhFOdcmWZfwv/sIIKBdRFwpe1pCbRuAt5j/mvY6UVrRb2ngHVtz0ix/ahR0+uKpM2BLYCjgd+XvdUX2CPlsZKpP906/khmcSd6vj4fF++y/UhCudm2z024/Uq6lIzSyFTShbh0kSTHp0FJXQlev8KwfaekDYBhwOOpvUNV9F+WVL5qTlufLUDraUk/BsYDZwEbKIgfb/uaFJqSlgX2B74OTAQuB7YEDgC2LlCqu6TuwO7AObZnSUrlRXiZYEjVilnx2C+dBwNo8dQmwfb7kq4GehGMnT2AkZLOsn12wXIr2f5iwdtsj+eA7kAywzTlA20b9ACWItgofcrWv094+M00MdkwzbSLpKOAbwGlG/3lkv6c4GJe4jpJ3wX+SdmF1vbbifRuknQzcGVc/grw70RaNwN/l/Qnwk35MOCmIgVi3N7+BG/NKZJ+Y/v8IjXa4eU4nW9JPYAjgSSGsaR1Cd6vLwG3ArvYfkjSCsB9tByvRWpeA3wGuDTqvRbf+puk8QXLnQe8ADwM3CVpZcJNOQXPAWMk3UDrc+53ifTOIpzfAyX9imBo/CSRFpJ2JRwrwwj/u01sT5HUm3B8Fn0tu1fSOrYfLXi7bfERMEnSbbT+/x1ZtFCcpfgNsBbQs0xr1SJ1oiF8p6SLbb9Y5LYzjU+eys+0i6RHgM1tfxiXlwTuSxh/9nyV1S76wlehuSfwOUKM6V22/5lIpwvwbWBE1LoFuMB2YV5FSY8DG9v+KHr3bkoVu1dFezngTFrv35EpHiok3UWYQv+H7ekV733d9qUJNLe1fXvR210I/W62ZyfY7s+qrbf986K1yjQ/A2xHOE5uS+nZl/RXwnl2V5X3trN9W0E6jxIeOLsBqxMM/hm0xOWnumYeUG297UsSaI0lxCP/HtiFYPDLdtVjqAC9TwP/y/zxuklyDjKNQTZMM+0SL7Yb2/44LvcEHrS9Tn1H1nxIutr2nou4jQm2N2xrOSWSPmf7no7WFaR1tO0zKtYdZfvMorXKtl+L5LVj2ns/oRcTSX2ChD9IpRF1vmn7wop1v7X9w0R6J9s+rqN1Beis3N77KT1/knoBQ2w/lUoj6kywvaGkR0v3AEl32/58R9/9hHo1zTnINAZNXUIjUwgXAQ9IOlHSz4H7gQs7+M4nRlJ3SUdK+kd8fS/G2hWtMzb+nCbp/bLXNEmppkw7ogiv8DBJo+LrurLl6ySNKmD77VFtSjRVyMc3qqw7MJFWiW+VZ//bfocQ5lIkfTp4FY6ktSVNBB4DHpc0QdJnU2hF9opJXSX9PwIDEuptX2XdTkWL2H4xGp+/LP1evq5ovRKSdgEmEcOCJK2f8Fz/OM78PB2vzXsAKUvszbZ9ru1xtieUXgn1Mg1AjjHNtIvt30kaQ0jwADjI9sSEkucSAvlLXqivx3WHFClie8v4M8nN/hNSxPTFbhXLp5VtVySgLIN2QIXHry/QtWCtfYGvAUMrbr59CIlrKalF8lqy6fN2+DNwjO07ACRtTQiT2CKR3peBUZLmEgzEt52mpNh3gO8SHs7KEzb7AIV78ctoZdTH4yTlrMWJwCaEknfYniRpaCKto4HehPjxXwDbEBL/UlHrnINMA5AN08yCMIdg3JjE2bOEsIHyUiC3x+mcJEi61PbXO1rXiViakBX8BwBJ4wjeKBNKDqWglhm09wKvAcsB5eV3pgEpq0VAbZLXjrV9iqSzqfKgkiKhBViyZJRGjTFK0CRBUv+yxUOAawkG4kmS+icwNq4AbiQk65SHCUxLFPf8I+B4oFfZrIuAmQTjPxWzbb+n1tUwCo/Riwb2PrZHAh8Q4ktTUzJ6R5atM8XMLmUalGyYZtpFLVn5VxMuspcpbVb+HEnDbD8b9VclYckh5vdudCOtd6M9ivBoHgt8tWy5B7ARsCQhLOOqAjRaUcsM2rj9FwkF02vNccChwHcoS14rWKOUBFR0ln97PCfpJ4SMdQhVHaolIS4qEyhr0hF/fim+Uhgbtv1CjA1uRQpD2PZvgN8oVML4UZHb7oDHJH0N6Bqz5o8kPMAViu05kjYsnzVIje1Unt9MA5OTnzLtUoes/O0IBtRzhBvXyoTwgTva/eLC68zzbhDKrUCZdyPVjUWhjNJnCDfip2zPLHtvB9u3LOL2HyzPwpd0ju3vxd/vt73Zomy/A+0BBMP4s7QuJVNYBq2ksba3VBudyZyoI1m9UCgMbycoBF+msQzwc0K4joC7gBNjDG2nRdL1tndWqPRRMoRLJKv0IelSwt/wbifqDFah15vQ7GEHwj7eDPyilLBasNbphIoDVwEfltY7Xd3g3sAxhMSub0fDew3b16fQyzQG2TDNtEs9svIVWvqtQbjITnbajiY1825I+hIhw/RZwr4NJbTsvLFAjWdsr9bGe8/aHlaUVpXt3wL8jVDe5TDCNNybRWc/1wuFHt0n0tIut2QMF27gSNqI8IDWJ+q8CxzcLIkfktZm/lqYf63fiIpD0rYEI//zBC/wJEIZumQVI2qFpIuqrLbtgxPp/Y3gaf+G7bVj9YH7XNFBL9NcZMM00y4xmeUAQvA5hE40F1eW6ilAZ1vbt0v6crX3Uz2RR+1lCF6A8pvkfDUPC9CZDOxs+5m4PAy4wfZnCtS4HBjjiqL6kg4Ftra9b1FaVbRLpWQeKXnUJd1pu912hp9QazNCZ6tpcXkp4LO2Hyhaq0xzMvB95i9dU3jSVZypONz23XF5S+CPRc5USDrD9tFqow+60/U//xmhS9ZahGYWOwFjbSfp6BMfKCbZ/lDS/sBw4AzbL6XQi5pdgY0JyUGHAdOLPM8rtDYizP6sQutan0lmtWqJpPG2N1IN29dm6k+OMc20S8zKv5OWAvSpsvK3Am4nFG2ebxgk6OQDIOkQ4ChgJYJnYzNC56AUBZynlIzSyHPAlLY+/An5PnBtjDl7KK7bEFiC8FCRklKv+Neid/hVwt81BecSDIwSH1VZVzTvFend7oBpJaMUwPbYGL5QJKWY0tMK3m5H7AWsB0y0fZCk5Sk+Vrecc4H1FForH0sod3cp4ZpTOAodmJYkXEfuJsw4FX2el3M5ITnoURInp0aPabWHmCQeU2Bm9JKWKmEMI2Hr1UxjkA3TzIIwiZAJ3Q1A0pCivQ1u6Rxyku1WiRcJS59AMEo3Bu63vY1CR5pUJXsel/Rv4O+EC+3ewIMlL3ERXuF4A9wiTieWErtucG06Fv1SUj/gB4T6pX0JhnIKWiVg2J4bE9dScoekUwkPSeWlax5q+yufmHGSziO0yjWhVe4YScOL0iwLC1i/cpo5Jj2m6o8+Pf6/ZscY2imkzbKebduSdgPOtH2h2uiWVBCPEB4G1wbeA96VdJ8rOpQVyJu2U9coLlEe29kT2IPwAJqKnxEqX3wqzgZ9jvT1ijN1Jk/lZ9pF0hGEi8MbhOnL1O31HrI9vGJdsu5FpWQhSZOATW3PkDQpRQxTG/FZJZLFadWCOHV5pO3f10jvGkLdxnPjqu8C29hO5hWWVC0Bz0Umd3WglUSzjXNu3tRp0SgU1D+eUD3iB4TSQ5NsJyk/FGd8biKUN/oC8GbUS9q9LoaXHESIuR5ke4lEOtsB+wK30fqBKVn4U5l2F2B0inOgTGNZwkyWCA6Et1JpZRqDbJhm2kXSMwSDLWnx8uip/CxwCq1r1vUFRtpO0olG0j8JN4+jCdP37wDdbf9PCr0OxvIjh5IznRJJd9jepkZaA4GzCP8zE27KRyeeMm0q1NKsYEvClHOJPsAc2yNqMIZVgL62k9WglTSIsJ8P2r5b0hBCvHWSZCtJ3yMkPm1IKG1WytBPMmsh6TJCpY/HaZnKr8mDrqQ1CDMyVRMuC9JYl/njZ5Mb3Zn6kQ3TTLtEz832tmcn1tmNEAO5K1A+LTUN+D/bhdflqzKGrYB+wE0uK+NUK6p5rjoTkn5F+Pv9jdalZFJMddeFGDtbWQ7rpAQ6P622vkgthd7uQ6lSgB54JNU5L+k229t1tK6zImkkwRidkPq6GfXm9a2vgVZlmbbXgR/ZvjqR3l+AdamD0Z2pHznGNFMVtbSWfI4Q23YDraeJfleknu1/Af+StLnt+4rcdlvEaahHbK8dx5Aqpm6Bh1Rn/UWl1MKy3HgyBSaSqT6dkUrafyK0Y9yGkKyzFzAukdyHZb/3BHampfh+IbjGzQpiqbnewHKxEkbpeO8LrJBQ98vAyYSe7iJxzVvbp8ZEq8MUujHdbTtZ9zrgfklr2X4ioQZQlxbOm9leq8aamTqTDdNMW5QuQC/FVw8K7gveBhMVOrVUeqUKf0KOCRgPp0jm+oR06umLjqbxJR1g+5JFlKlHZ6QSW9heN5bD+rlCsfEkU4q2y9utIuk0Ws8kFEYsvXU2sCbhHO8KfJjAcDuUEDKzAqHkVskwfR/4Q8Fa5ZwC7GK7UMO+LSQdCXyblmMjdbe8LYEDFBoJzCBhHkAdvN331crozjQO2TDNVMV2qsz0jrgUmAzsSPC87UfBnqIKBhOy5cfRevo5SQ3HDujsHtOOOApYJMPU9nUx0Wpth57dtaSUVf2RpBWAqYSp8FrQm3SZ6+cQEpGuIrSv/QZQeMxgzPw/U9IRCY20arxRK6M0cgghLr/ULe9kQumoVPv8xUTbnUe9vN2E68V9kl4nsdGdaRyyYZppF0m3AnvbfjcuL0OI+dwxkeRqtveWtJvtSyRdQWixl4qaGeCSlusgo7TwPvYNRiGGt2PP7iK2tZBcL2lp4FRCjViTqP6mQse1kge9KzCA1iEShWL7GUldbc8BLpKULKbb9tmStmD+hJZUnZ/GK3QQupbaZK2LsgYMtFQzSYLtF2PowOfjqhShA+Xe7vKY8dTe7r8AX6cGNVozjUM2TDMdMaBklALYfidmRKeiVKT9XYW2ha8TbmBJ6CiuNNYfXKQYPEm7EC6wsyXNAfaplsxl+9eLotMJKDJUYaKkUdSoZ3fkFIf2uFdLup4QalJ4P/LIzmW/zyZ4/VIl0nwkqQcwSdIphJrFSybSKvWSH0aoj1wy4AykMkz7Ehow7FC2LlnTDkIr2QdixQ8ISZ0XJtIq1Zz9FglDB+ro7X6phjVaMw1CzsrPtIukCcAepRjMmMn7z1TZ4wqdmK4mZGJeBCwF/NT2n1LoLcB4Frmeo0J7yX1sT5a0KcHASdJ1ppEpsjZmGzVhk2brtlHvM1klBYVi+lsSjKixTtNxrXROTwG6Exoi9CO0P32m3S9+cr0ngbXcxDefsv+dgLtS/e+i1iPA5mWhA0sS+skX2b62aqvoEqkeCGPN26WB66hxjdZM/cge00xHnACMjUWqIRSo/nYqMdulqdE7SdsNZkEp4uY52/ZkANsPSKp1ZmtNkDTUVbp2la27p0C5C2y32p5CT/TCiXUwVwR6SdqA1vF1vRNp/pTQGax0A75Y0lW2f1m0VszOhxBDW4vQlseAQQTPbHIkfZrQiGF522vHupi7pvhbVlT6qFWZtFqEDlRrFV0ipfe5F8EgrZW3O9MAZI9ppkMkLUdL5437OoiT/KQax7T3ftHlqRaUIjxikl4Bysd/TPlyvfataNrwKCbp2lVL76VC+8oDCYlBD9I6m/ySFN6b6FXcwPbHcbkX8JDtNQvUKI9jnY9UCSaxNvL6hFJb5V6wJAmH8aF6JHBeyWMv6bFSmbgEepcTanvWpNJHvHYeAJSHDlxs+4xa6KdEUn/bb9d7HJnakj2mmXaJXqhJtq+XtD9wvKQzy7wsRdGoXsQiPA/n03r/Kpc7NWrp2tWvYsqvL2UlvwrS2pxQL3VAxcNMX0KSUOHEEleXSNozVSHxKrxA6xjWJYBnC9bYueOPJOHEGuv1tj0u1hQtkbLwfU0rfdj+naQxtIQOHJQw7CN544cKHlBoF30RcGMzh39kWsiGaaYjzgXWi1mfIwlJPH8FCo2RrEd5qlh26Ga333rx64uqU8fSW7ViDYKRszStp/ymEZIyiqQHIe64G62N+/cJBe9TsmGs2VheoeIHtn+cQGsGwbi5leDV3J4QUnMWFNNIIMHD5YLq1rqRxVuShhG9w5L2Im0YQU3Pd0knEVrKXliKM01I8sYPFXwaGAEcDJwdqytcbPs/CTUzdSZP5WfapTQ9Gp+U/2v7wsQJHxdRvaNPkqSWmNn9ddvvpdh+mc42wPcIPa0hXMzPsT0mpW4tUW27dq1ca8OqWvJW4vCBNvGiNyoo1ypvM9mDkARVeIF9SWNtb6n521om7cQkaVXgzwRP+zvA88D+tl9IoVdrJB1M8JZuTngYvJuQcPWvGmgvAYxKWD6wXGsb4DJCxYiHgR/W6nqTqS3ZMM20S4zPugk4iJD49CZhaj9Jb2ZJe5Yt9gT2AF4twkPUht7fCfGzt9J62q0wPYX+6ucQ6lA+RLgRDwd+DHzP9r+L0qonkgYQPKSr0Lo+ZeEPFXWor1vKft44lowqxX2Ot/3ZVJrtjOVq23t2/MlPtO3dgU1sH59i+wugv4ztdxJsd0mgi+1pRW+7QqfS8AZ4j9Ct7Ae2n0ukOwjYB/hfYBnXoH1oPO/G2V490faXBfYnzFy9QSi7NYoQo3yV7Vo1uMjUkDyVn+mIrwBfA75p+3VJQwgFxpNQGcMn6UpgdCo94Ib4SslIYPeKoteTJI0ndINpCsMU+BfBWzOa1lnCKViuxvV1IXhrbivz6h/MInayWgSSVaywfa2kH6ba/gJwG+HBbZFoK6GyFGuaMOnwd8CrwBWEh9CvEqoQPEUIhdq6SDFJFwBrEQy3uwkhLUkqAqjGjR8IHbMuJVw/XylbP15SXUoIZtKTDdNMu9h+ndYZ5C9RVghbBRSg74DVgSGpNu7QXaoXMMT2U4lkBrlKJxbbj0haPpFmPeht+7gaac2VNKSivm7S6R/bp0Sv6QiCwfEL2ym7krU7nKI2VJGw1oVQfaCeU2lFlToqeQzXADYmeNogxEHfVZBGNb5oe9Oy5T9Lut/2SZJSeKGXJRiJ7wJvA285XTOGWjZ+AFjDtiX1kbSU7Q9Kb9g+OaFupo5kwzSzqBSddV2aBlP8+TqQzNhR6Mp0GiG2bqik9YGTCs6gbS8hIXWyQi25XtL/1Cg0oab1dct4klCXdrSk3pL6pJ4argHlCWuzCRUBdqvPUICCjOJS0qGkW4Dhpf+TpBNJ2/53rqR9gH/E5fKkvMINftt7AEhaE9gRuEOhvexKRWsRKw6U/S2XkvRZ2w8k0AL4rEKnsP5BTm8CB9h+LJFepgHIMaaZRSJlIlQtUOhstS0wpqzG4aNFxtBKepfqHhoBW9pepiitehIfKpYEZsZX6qSW5PV1K/S+RTB++9seJml14E+2t0up28ZYCuui1WgUfU2RNBlYryw2eAngYdufaf+bn1hvVeBMQjKSgfsJHbX+C2xoe2zBOGOCvAAAGmZJREFUejsDnyc8nC1DmP6+2/ZfitSJWhMJRn6pwkEXQpx1qmTYe4ETbN8Rl7cGfm17ixR6mcYge0wzDUecWiy1Yrzb9rUJ5Wbbfq+ixmHRT2vVvE8ljdMK1qobtUi2KKHwD/sisGqcIh0iaRPb4xLKHg5sAjwAYPvpVHGt0dj4t+25bXyksFmEMkNqM8JxeR/w/VRJOgsypIK3dykwTqF3vQkJlclig+Pfra1OSWMl/cj2bwqU3Inw4Hum7VcL3G41VF5L1PZcSSntiCVLRmnUGxOT2DJNTJd6DyDTmESvwgJ9tGDdPwKHAY8SWhceJukPRWpU8JikrwFdJa0u6Wzg3oI1lgbWtn1nrOF4KuHGeDGQOmGnZiiwv6SfxOVPSdokkdwfCR6pfePyNCDlcQIww/bM0kK8Iaeacvoq8LSkU+IUbSts31Kg1hXA3wnTtCsQprmvLHD7rZA0rHR9kbS1pCMlLV32kUI90LZ/Ragq8g4hDvOgcsMwZpbXkr2L3Jjtw23/rS2jVFKRJZWei/+v7vF1FJDyAeY5ST+RtEp8/ZhQ7ivTxGTDNNMW9wHE+J72WOQC9BVsBexo+yLbFwH/Q8FZrBUcQehaNINwM34fOLpgjWNpSbyAEM+6EWG/DitYq56UjMWvxeUPSGcsbmr7cGJnpFheqEcirRJ3xuSVXpK2Jxhw16UQsr0/sAGh29NFku6T9G1JKbzSsn2p7dnxdRlpk5+uBuZIWo1Q/mcowTgGwAlaUNp+yPaZ8VXZFem2ovU6oGiPcEcUmQdwGKEe7H+BV4BNSRvbfTAh8/8aQsvVAYSHjEwTk6fyM23RQ6HI9xYVWbsAOPYHTxCE/hQhC79UPP1TwCMFa8zD9keERJoTUmkAPWy/XLY81vZUYGqTTUtt6tCMYSLMK+GUylicpdC5qxTrNgBoa9q7KH4IfJPgzT+UUObrglRitt+XdDXQi/CwtAcwUtJZts8uUOqOWB7q/wh/z68AN0jqH8dRtKE41/ZsSXsAZ9g+u3TM1IlaG4q1TuwoTM/2FII3vybEB84kNawzjUs2TDNtcRiwH/O3mYRwobsmke6ywJMKfaYhlHm5T6FDU+H9piV9mlCQehVaF4XftkCZVlOFtr9XtjigQJ16U0tj8SyCB2WgpF8RMp9TtAadR4ynu4QQY2rgqfJ4uyKRtCvBMzSMECO5ie0pknoTKgMUaZh+Jf48tGL9wYT9LLpm6ixJ+wIH0HJt6V6wxsJQa0Ox1obwIiPp2Fgu7Wyqd+Yr1HiUdF01nTK9Qu8DmcYiG6aZqsTM0bGSxtu+sIbSP62hFoTp2D8RPF+pisI/IOlbts8vXynpUCBlsk6tqZmxaPvyWFFhO8KNfnfbKXt2lzp4/YkwvS5CebFDbd+YQG5P4Pe2W1VzsP2RQgvKwnDtu+ccRHjw/ZXt5yUNJTQvaAokLddBhYiUpaqqUYQhXDq3xhewrQWhaZJCMwtPLheVaZc4FXsYoRQJwJ2EEjmzEmouT/CUQmh3NyWh1gTbG6baftQYCFxLiGMtdWTZEFiCYFC9kVK/lkj6DC3G4m1FG4ul6eW2SBGfWKY9GdjZ9jNxeRhwQ9Flh6LX+WbbI4rcbjt63YHv0HKOjwHOS3mOl2kvA3zKdrJwnQUYQyGltxRqIv+FUAt2DrCP7aITKRcaSWsXEXIVj8vf2h5ZwLAWRrcH8BlaZilmdvCVTCcnG6aZdlFod9edlvIqXwfm2D4kkd4+hKz1MQTj5vPASNv/aO97n0CnZOAcCUwhePpmlN5PYeBI2paQaAWhSPXtRWvUm5KhQeuwiMLaI0p6ntYNGOa9FaScrFWnpLtsf6FsWcCd5esK1BoFfN32e0Vvu4pWrc/xMcCuhGNkEvAm4e9YtYVoQZpdgeVpfVyWuob1L+J8V+gKto/tyZI2BU6xvdWibncBdL8MnEyo8CES1g+WdHvBYU4d6c03SwGkmqXINAjZMM20i6SHba/X0boi9YDtS17SGKc4umi9CgOnkqQGTrMi6RfAgYSbSOnC4hQ3MoXC3vsBQ0t1TIHBTteBBknnAisTSiuZUPbnKeAeaEkILEjr74S6ordS1h2s6Fi+qFXrc3yi7Q0kHULwlv5M0iO2102kdwTwM0Iv+VLMs4vWU0VjgMrlVEh6BtgldShL1Dqd0Cb6Klofl0lyDmo1S5FpLHKMaaYj5kgaZvtZmFeMO1UsJkCXiqn7qSQoa1aHuLrFgX2AYTWaavsDwcjYFjiJUMf0alpCQFLQk2DclLxgbxJaJe5C8QmBN8RXLaj1Od5N0mDC8ZKyGkaJowg916cm1hko6Zi2lm3/LpHuG7UwSiP9Cdfk8ofNlMmwU0pGaeQ5wgxXponJhmmmI0YSysk8R/AurkzaOnI3SbqZlgLfXyGU5UmCpMOBy22/G5eXAfa1/cdUmk3MY4QqDrW4cdSyNBVRY77jXlKPFIa47WSdiapQfo5DqFCR8hw/CbgZuMf2g9EQfjqh3stA8pAI4HygTzvLqRgv6W+0xLEDabyY1c6BxDwu6d+0nqV4sFTCMJWnNlNf8lR+pkMUurSsQTBMJzv2nI7vbW/71oL1Si1JBdxl+59Fbr9Ca5Lt9SvWNW0f8pRI2gj4F8FALb9BFl7aRdIDhELfD0YDdQBwS8r/W4yNPND2C3F5Y+CCFFPeklYHfgOsRVmB9BQhJpJ6Aj+gpePSrYSKAB8XrVUPJF1IuH7dQOvjMpUHs6ZIuqjKatsutHpD1Dqryur3gPG2/5VAr9q+lUiyj5n6kz2mmQ6JhmhbWbMnE25kRXIvYSpxLvBgwduupIukef2fY5JE6g5CzcolhOPhUdIXu695HVOCoXhTvDmvSOhKlsqDdBEhLvL3wDZRJ1X9y78SOp79Ii7vS6idWmjrzBKSViLUYf0cwQs2FjjK9isp9ICX4qsHic9tSdsA3yNkkUMos3SO7TGpNGvsxexJ2LdSyas9gceBb0raxnahXfPq4KHNNADZY5pZJIr2LsaEiJ8CtxNuxFsBJ9n+S1EaFXqnEqYu/0S4SR4GvGz7Byn0mhlJd9YiC7lML2lpqjY0tyY8iL0FbGD79UQ6E2xvKOlR2+vEdXfb/nwCrVonP91KaEFaane8P7Cf7e1T6JXp9iF42T5ItP0vAecQQhUeIhyXwwkPTN+znSQkqZaGvqTbgR1sz47L3YBbgO2BR22vVbDeUELb6FVoXVEhF9hvYrLHNLOoFP1kM5Jww58KIGlZggc1iWEKHEfoePMdwo3kFhK2mWxyJkj6DTCK1lOmhZWLKsf2ZGByim1XQ9JPCAk7XwDWBcZI+oHtFElKH8fKA09L+h6hN/nABDoAEyVtZvt+gFjq6J5EWgADbJdP0V4sqVBPWzmS1iYYwf3j8lvAN2w/XrDUSEJd4ofL1k2SNJ5gOKaKlb+IYOiXPNz7x3UpDP0VgSVpidldEljB9hxJM9r+2ifmWuBC4DrSz8JkGoRsmGYajVcIGdYlphGSF5Jgey5wbnxlFo2S53yzsnWmdQZvZ2Y5QmvQ6YQ2uTcRHmJSGKZHA70JdXZ/QfgbHpBAB2BT4BuSXorLQwhtgR8lQVkl4C1J+9OS4LgvIdM7FX8GjrF9B8zzep9PiFEukkEVRikAth9RaBqSiloa+qcQjO0xhAf5LwC/lrQkMDqB3se2q8W1ZpqYPJWfaRdJS5QnO1Wuk3SN7S8XqPdXYB1CEo2B3QhtO/8DxScs1DLJJNMcSFrS9ocdf7JzIGnl9t63/WLBekMIU96bE87xewlTz4XqlOnVJFRB7XSRa++9AnRHAxfT2tA/yPZ2bX5p0fRWIDRhmEzwmL7iita5BWp9jVA39RZqMAuTaQyyxzTTEfcR4qSqrivSKI08G18lSpmeqcqu1DLJpCmpqN04H02U/bw5YVpxKWCIpPUIXWi+W6DGdbQTHpMiti6VQViNmFy4Z41jBJ+LYRjlMa3PJ9AZptCxqxIBKR90DyYY+r+nxdBPkq0ecwCOAlYidO3ajHA/SDUrsg7BCN6WsuYICfUyDUA2TDNVkTSIEE/US9IGtBhrfQlTjEmw/fMOxnW27SMKlOxl+7aYmf8icKKkuwnGambBqEWtxkbgDGBHQgwtth+WVHQ70tPizy8Dg4DL4vK+wAsFa9WcGIu4G8GIqhUHAz8nFIEXcBdpqinsVmVd6SHjtCrvFYJDa9VaGfpHEZpY3G97m5iA2O41exHZA1i1Rk07Mg1CNkwzbbEjob3kSkC5x2sacHw9BhT5XMHbq2WSSVPS0cNEM2H7ZamVQ73QDkm274TQ3tV2udF7naQk06V14B5J5wB/o3Vby1RJcu8QYnVTszSwku0/AEgaBwwgGKfHFS0m6Vjbp0g6mypedidoX0uI+fxYUimka7KkNRLolHiY2jXtyDQI2TDNVCV2nrlE0p62r673eBJSmWSyDemSTJqSNopuzyPRDbIevCxpC8Cxy9SRhDqVKRggaVXbz8G8sjkDEmnVmlLSUemBRiSYnpV0hu2j2wqPSBBOcCzw1bLlHsBGhDjMi2ip/VkUpWNvfMHbbY9XJC1NyJa/VdI7wKsJ9ZYHJkt6kMRNOzKNQzZMMx2xtqTPVq60fVI9BlM0th8EiDX2czHnT8aEeg+gRhwGnEkIcXmFkJBxeCKt7xPKUZW3CT00kVatuZ5gKJZczwbel7S+7UkF6pRiSpNNo1fQw3Z5BZGxsezd1Ji1Xii2r4u/fmS7ldErKUlzBNt7xF9PlHQH0A+4KYVWJIdULYbkrPxMu0gqLzTfE9gZeLJereASFPSfl9BiO0lCy+JG6kLmjYqkH9n+TYHbW4KWDkKtWgF3ZiRdQfAkjiIYp18idHj7DHCV7VMK1jvK9pkdrStA5xnbq7Xx3rO2hxWpV7bth2wP72hdZyVWjVjd9mhJvYGutqd19L1M5yUbppmFIt4sR9nesU76B9q+uMDtPUBoZzmqZPBKesz22kVpLC5UFDIX8CZpCpk3JEUbAzFsYBVad7z5a1HbrxeSbiZk5n8Ql5cC/kFIdJmQoHtQNcOt0AfcuM3LgTG2z69Yfyiwte19C9bbidAWdx9CvG6JvsBatjcpUq8eSPoW8G2gv+1hsbzfn1KVwso0BnkqP7Ow9CZB6ZMFLZNTpFFatu2kCS2LEbUqZN6oFFZmTNKlwDBCSZ7S8WhCX/vOzhCgPMt6FrCy7elFdg+StC/wNWBoRRmnPqQp6P994NpYe7OUyLUhsASwewK9VwnxpbvSOpxmWhxLM3A4sAnwAIDtpyXl5NQmJxummXYpdX+Ji10IGeu/SCBVqziwSmqZ0NLsLFkySgFsj0kRW9fAFDn9tBHB69WMU1pXAPdLKtUo3gW4Mh4rTxSocy/wGqFj1+ll66cBjxSoA4DtKcAWkrYFSnH5N9i+vWitqPewpMcIvesvSaHRAMywPbPkOJDUjeLbYGcajDyVn2mXGN+zDPB5QtmOf9tummQXScsRElpGEDxetwBH2n67rgPrhEj6J8FTVF7IfCPbKbxFDUeR08OSriIch68Vsb1GQ9KGwJaEc26s7VpmljcVCq1xd23GWp+STgHeBb4BHAF8F3jC9gl1HVgmKdkwzbSLpCOBb9FSnHp34HzbZyfSq2mLUEmfs31PR+syHSNpGUIJoC3jqruAn8c6kk2PpONt/7qgbd0BrE9ox5vL5CwCkjYDzgbWJJRw6gp8aLtvXQdWEJLOI3TiG0XrurCdvuNarDH9TWAHwv3nZuCCJp1JyESyYZppF0mPAJuXeoPH6bb7bK+bSG8sLS1CdyG2CLWdpGxIs2e01orYavK3tkfWeyypkPRp4FxgedtrS1qX4Kn6ZQKtraqtLxXgzyw4ksYT6oteRQiR+AawWrN43SRVvTYuTo0vMs1FjjHNdIRonQw0h7S95GvSIjSWidqCUMi8vNd7X4JHJbMQxFaTG9Z7HIk5HxgJnAdg+5FY+qhww9T2nZKWJ7R/BBgXYxgznwDbz0jqansOcJGke+s9pqIoGaDNWKZN0ueAE4GVCfaKCPuYZAYt0xhkwzTTERcBD8T4QQhT+Rcm1KtVi9AewFKEc6C81/v7hPJRmYVnYsx+vorWU4rX1G9IhdLb9riKCg6zUwhJ2gc4FRhDuBmfLWmk7X+k0GtyPoqJjZNizOJrhG5MTUFFmTYkvUXzlGm7kFBhYAK5WspiQ57Kz3SIpOG0JCrcZXtiQq2NCVnxSxOy//sCp9q+P5HeytEz29b7Z9s+IoV2syHpoiqrXa9mDEUj6Ubge4Qi8MMl7QV80/ZOCbQeBrYveUklDQBG216vaK1mJyZwTgG6E4ycfsAfbT9T14EVRPT+nlBRpu3Xtjt9mTZJD9jetN7jyNSWbJhmGoZGjFPM8aaZEpJWJdRq3QJ4B3ge2K+9B5tF0HrU9jply12Ah8vXZTIQHmIqH1iqreuMSPotIbTqGlonAT7U5pcynZ48lZ9pGEpxijG+ND8xdTKiV+9bzN+tqFN7TMvaVw62PSImAHZJ3Bbxptgh6cq4/BXgxoR6TUdFDeb5SJXAWQeek/QTWpdpe76O4ymSkre0FL8uwv902/oMJ1MLssc001BIOh1YnQaJU8we0wUnTineTUU8mO2r6zaoApA0yfb6tT4WJH2Z1iE0/+zgK5ky4hR+m6TwdNeDijJtIpRpO7EZyrS1UXHAtk+q+WAyNSN7TDONRn9Cu8DyJ2ITpnLqQcoKBM1Gb9vH1XsQCXhS0guECg7lHYNKGcKFe94kDSU0s7gmLveStIrtF4rWalaaxfDsiGiAHimpHzA3sSe/1pRXGOgJ7EzuzNf0ZI9pJtMOkg60fXG9x9EZkPRL4F7b/673WIpG0iBCce/5CtwnijEdD2xR6uYTs8rvsb1x+9/MVCJpGi1T+j0ISVDNVGB/Y+AvtFQXeQ84uJk69JWQtAQwyvaO9R5LJh3ZMM00FDGze76Dsug4RUnXVdMp08sddhaSaAD0BmYCs2jxKDaFAVBLSuEDFeuaIqGl3kjaHdjE9vH1HksRRC/+4bbvjstbEqoONEsM7Txi2MI426vXeyyZdOSp/EyjcX3Z7z2BPYBXE+iclmCbizv9gP2AobZPkjQEGFznMS0ykv5ue58qyTTJpvKBNyXtantUHMNuwFsJdBY7bF8r6Yf1HkeBTCsZpQC2x8aHxE5PxTnXFRgA5PjSJid7TDMNTSyTM9p2zsJscCSdC8wFtrW9ZvRu3NLZp58lDbb9WlvJNImm8ocBlwMrEm7MrxCKpjdF7c1aEpPISnQhtCXdyvbmdRpSoUj6PWGm4krCsfIVQjmzq6Fzl1aqOOdmA2/YTtLUItM4ZMM009BIWgO4wfZqBW+3Hl6wpqaUtS5pou0N4ro8/bwISFqKcJ1uCg9YPaho/DAbeAE4v1lavEq6o523nR/qM52NPJWfaRgUej3OoXUm5utAikzvo+LPnRNse3FlVmySYJhX13RufYe06FQkz7R6i0QxtJKWB34NrGB7J0lrAZvbTtkOuCmxfVC9x5AS29vUewyZTJF0qfcAMpkSsaj+JNt9y16fTlEH0/Zr8eeLhI4i6wHrAjMWlzIzCTgL+CcwUNKvgLEE46pTY7tPxTFZevVJmNh1MaEKwApx+T/A0Ym0mhpJq0q6TtKbkqZI+lfs4tUUSOon6XeSxsfX6bF0VCbTKcmGaabRuDeWP6kJkg4BxgFfBvYC7pfUqTsV1QvblwPHAr8BXgN2t31VfUfVaVnO9t+JHucYVzen/a9k2uAK4O+ERLwVCM07rmz3G52LvwDTgH3i633gona/kck0MDnGNNNQSHoCWIMQB/YhiWM+JT1FqBc5NS4vS6jFuUYKvUxmQZA0BtgTuDXG7W4GnGx7q/qOrPMh6QHbm1asu9/2ZvUaU5G0UVpsvnWZTGchx5hmGo2daqz3CsHbUGIa8HKNx5DJVHIMMAoYJukeQpmcveo7pE7LHbE81P/RkrV+g6T+ALbfrufgCmC6pC1tjwWQ9Dlgep3HlMl8YrLHNLNYI+mvwDrAvwg3rd0IU/v/AbD9u/qNLrO4ImlvQozppwie002Bn3Tm0j/1QtLz7bxt25063lTSesBfCXWEIZSKOsD2I21/K5NpXLLHNLO482x8lfhX/NmnymczmVrxE9tXxVqwI4DTgXMJBmpmIbA9tN5jSEWs87yG7fUk9QWw/X6dh5XJLBLZY5rJZDINRqkWrKTfAI/avqK8PmxmwZHUHfgO8IW4agxwnu1ZdRtUgUi6y/YXOv5kJtM5yIZpZrEmFqee7yTIRakz9UTS9cB/Cd7SDQkxg+Nys4KFR9IFQHfgkrjq68Ac24fUb1TFIeknhOPjb4SEUaApYmcziynZMM0s1kjasGyxJyGeb7btY+s0pEwGSb2BLxK8pU9LGgysY/uWOg+t01Gt+1gzdSSLMbTVHq47dexsZvElx5hmFmtsT6hYdY+kO+symEwmYvsj4Jqy5dcItWEzC88cScNsPwuh4D7NVRN2LeC7wJYEA/Vu4E91HVEmswhkwzSzWFMqGRPpAmwEDKrTcDKZTPGMJJSMei4urwI0U5vSSwhF9c+Ky/vGdfvUbUSZzCKQDdPM4s4EWqbBZhMK+3+zbqPJZDJFcw9wHrBdXD4PuK9+wymcNSrCEu6Q9HDdRpPJLCK5JWlmcWct4A/Aw8BjwI3A+LqOKJPJFMlfgaHAL+JrKHBpXUdULBNjZzAAJG1KMMYzmU5JTn7KLNZI+jthGuzyuGpfYBnbe9dvVJlMpigWg+SnJwltnF+Kq4YATwJzSdjOOZNJRZ7Kzyzu5GmwTKa5mShpM9v3Q1N6FL9Y7wFkMkWSDdPM4k6z37QymcWdTYFvSGrlUZT0KE3gUbT9Yr3HkMkUSZ7KzyzW5GmwTKa5kbRye+9nwy6TaSyyYZpZrMk3rUwmk8lkGodsmGYymUwmk8lkGoJcLiqTyWQymUwm0xBkwzSTyWQymUwm0xBkwzSTyWQymUwm0xBkwzSTyWQymUwm0xBkwzSTyWQymUwm0xD8P5O8glvRE3AbAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f64e6988828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "clustermap(corOfData,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "55.54179\n",
      "8.45773\n"
     ]
    }
   ],
   "source": [
    "print(max(data[\"pupil_teacher_ratio\"]))\n",
    "print(min(data[\"pupil_teacher_ratio\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country Code\n",
       "ALB    10.937573\n",
       "AUT     7.996013\n",
       "BHS     6.885512\n",
       "BHR     6.739362\n",
       "BLR     6.787978\n",
       "BEL    10.802651\n",
       "BLZ    10.488373\n",
       "BOL    10.610926\n",
       "BFA     5.331401\n",
       "CPV    11.178234\n",
       "CMR     9.049042\n",
       "TCD     3.637226\n",
       "CHL     8.605335\n",
       "COL    10.088164\n",
       "CRI     9.494031\n",
       "CIV     6.834316\n",
       "HRV     8.568957\n",
       "CUB     7.285395\n",
       "CYP     4.923492\n",
       "DJI     6.508037\n",
       "DOM     9.040283\n",
       "SLV     9.485142\n",
       "SWZ     9.102355\n",
       "GEO     7.459152\n",
       "DEU     8.707608\n",
       "GRC     6.124648\n",
       "HND     6.998056\n",
       "HUN     8.398086\n",
       "ISL    11.129483\n",
       "IRN     7.277764\n",
       "         ...    \n",
       "ECA     8.859803\n",
       "TEC     8.674839\n",
       "EUU     8.318332\n",
       "HPC     5.639660\n",
       "HIC     7.638542\n",
       "IBD     8.462955\n",
       "IBT     7.980506\n",
       "IDB     6.892173\n",
       "IDX     6.398153\n",
       "LCN    10.273104\n",
       "LAC    10.381849\n",
       "TLA    10.363173\n",
       "LDC     6.226549\n",
       "LMY     8.001013\n",
       "LIC     5.723860\n",
       "LMC     8.626465\n",
       "MEA     8.336821\n",
       "MNA     8.269786\n",
       "TMN     8.173354\n",
       "MIC     8.279025\n",
       "OED     8.512522\n",
       "OSS     6.977758\n",
       "PST     7.657070\n",
       "PRE     5.793610\n",
       "SST     7.308695\n",
       "SSF     5.916872\n",
       "SSA     5.917427\n",
       "TSS     5.916872\n",
       "UMC     7.852926\n",
       "WLD     7.942186\n",
       "Length: 109, dtype: float64"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tot_pop=data[\"population\"]\n",
    "gdp_growth=data[\"GDP_growth\"]\n",
    "secondary=data[\"secondary_pupils\"]/tot_pop*100\n",
    "secondary#% of pop in seondadry school"
   ]
  },
  {
   "cell_type": "markdown",
>>>>>>> refs/remotes/origin/master
   "metadata": {},
   "source": [
    "REmoving correlated variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
<<<<<<< HEAD
    "from sklearn.cluster import DBSCAN\n"
=======
    "data2=data.drop(columns=[\"out_of_school\",\"electricity\",\"agricultural\",\"GDP_growth\",\"secondary_pupils\",\"population\",\"proportion_women\",\"rural_population\",\"pupil_teacher_ratio\",\"population_density\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x7f64e6465f60>"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f64e6286860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "clustermap(data2.corr(),annot=True)"
>>>>>>> refs/remotes/origin/master
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}