recaudacion.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Indicator Name</th>\n",
       "      <th>Indicator Code</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>Unnamed: 64</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>Recaudación impositiva (% del PIB)</td>\n",
       "      <td>GC.TAX.TOTL.GD.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afganistán</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Recaudación impositiva (% del PIB)</td>\n",
       "      <td>GC.TAX.TOTL.GD.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.916794</td>\n",
       "      <td>7.707801</td>\n",
       "      <td>7.122773</td>\n",
       "      <td>6.882103</td>\n",
       "      <td>7.585382</td>\n",
       "      <td>8.842616</td>\n",
       "      <td>9.250468</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Recaudación impositiva (% del PIB)</td>\n",
       "      <td>GC.TAX.TOTL.GD.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>16.103413</td>\n",
       "      <td>14.822719</td>\n",
       "      <td>14.184763</td>\n",
       "      <td>13.542630</td>\n",
       "      <td>11.002019</td>\n",
       "      <td>9.732512</td>\n",
       "      <td>9.223777</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Recaudación impositiva (% del PIB)</td>\n",
       "      <td>GC.TAX.TOTL.GD.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>18.022012</td>\n",
       "      <td>17.483234</td>\n",
       "      <td>16.503275</td>\n",
       "      <td>18.301941</td>\n",
       "      <td>18.515796</td>\n",
       "      <td>17.590228</td>\n",
       "      <td>18.879744</td>\n",
       "      <td>18.61218</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>Recaudación impositiva (% del PIB)</td>\n",
       "      <td>GC.TAX.TOTL.GD.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 65 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country Name Country Code                      Indicator Name  \\\n",
       "0        Aruba          ABW  Recaudación impositiva (% del PIB)   \n",
       "1   Afganistán          AFG  Recaudación impositiva (% del PIB)   \n",
       "2       Angola          AGO  Recaudación impositiva (% del PIB)   \n",
       "3      Albania          ALB  Recaudación impositiva (% del PIB)   \n",
       "4      Andorra          AND  Recaudación impositiva (% del PIB)   \n",
       "\n",
       "      Indicator Code  1960  1961  1962  1963  1964  1965  ...       2011  \\\n",
       "0  GC.TAX.TOTL.GD.ZS   NaN   NaN   NaN   NaN   NaN   NaN  ...        NaN   \n",
       "1  GC.TAX.TOTL.GD.ZS   NaN   NaN   NaN   NaN   NaN   NaN  ...   8.916794   \n",
       "2  GC.TAX.TOTL.GD.ZS   NaN   NaN   NaN   NaN   NaN   NaN  ...  16.103413   \n",
       "3  GC.TAX.TOTL.GD.ZS   NaN   NaN   NaN   NaN   NaN   NaN  ...  18.022012   \n",
       "4  GC.TAX.TOTL.GD.ZS   NaN   NaN   NaN   NaN   NaN   NaN  ...        NaN   \n",
       "\n",
       "        2012       2013       2014       2015       2016       2017      2018  \\\n",
       "0        NaN        NaN        NaN        NaN        NaN        NaN       NaN   \n",
       "1   7.707801   7.122773   6.882103   7.585382   8.842616   9.250468       NaN   \n",
       "2  14.822719  14.184763  13.542630  11.002019   9.732512   9.223777       NaN   \n",
       "3  17.483234  16.503275  18.301941  18.515796  17.590228  18.879744  18.61218   \n",
       "4        NaN        NaN        NaN        NaN        NaN        NaN       NaN   \n",
       "\n",
       "   2019  Unnamed: 64  \n",
       "0   NaN          NaN  \n",
       "1   NaN          NaN  \n",
       "2   NaN          NaN  \n",
       "3   NaN          NaN  \n",
       "4   NaN          NaN  \n",
       "\n",
       "[5 rows x 65 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recaudacion = pd.read_csv('recaudacion.csv')\n",
    "recaudacion.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recaudación impositiva de los paises expresada como porcetaje de su Producto Bruto Interno."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>Indicator Name</th>\n",
       "      <th>Indicator Code</th>\n",
       "      <th>1960</th>\n",
       "      <th>1961</th>\n",
       "      <th>1962</th>\n",
       "      <th>1963</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>...</th>\n",
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       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>Unnamed: 64</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>ABW</td>\n",
       "      <td>Tasa tributaria total (% de utilidades comerci...</td>\n",
       "      <td>IC.TAX.TOTL.CP.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afganistán</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Tasa tributaria total (% de utilidades comerci...</td>\n",
       "      <td>IC.TAX.TOTL.CP.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>35.8</td>\n",
       "      <td>35.8</td>\n",
       "      <td>35.6</td>\n",
       "      <td>36.1</td>\n",
       "      <td>36.1</td>\n",
       "      <td>47.9</td>\n",
       "      <td>71.4</td>\n",
       "      <td>71.4</td>\n",
       "      <td>71.4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Angola</td>\n",
       "      <td>AGO</td>\n",
       "      <td>Tasa tributaria total (% de utilidades comerci...</td>\n",
       "      <td>IC.TAX.TOTL.CP.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>52.3</td>\n",
       "      <td>52.3</td>\n",
       "      <td>52.6</td>\n",
       "      <td>52.6</td>\n",
       "      <td>49.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>49.1</td>\n",
       "      <td>49.1</td>\n",
       "      <td>49.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Tasa tributaria total (% de utilidades comerci...</td>\n",
       "      <td>IC.TAX.TOTL.CP.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>38.7</td>\n",
       "      <td>38.8</td>\n",
       "      <td>31.7</td>\n",
       "      <td>31.6</td>\n",
       "      <td>36.9</td>\n",
       "      <td>36.9</td>\n",
       "      <td>37.3</td>\n",
       "      <td>37.3</td>\n",
       "      <td>36.6</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>AND</td>\n",
       "      <td>Tasa tributaria total (% de utilidades comerci...</td>\n",
       "      <td>IC.TAX.TOTL.CP.ZS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 65 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country Name Country Code  \\\n",
       "0        Aruba          ABW   \n",
       "1   Afganistán          AFG   \n",
       "2       Angola          AGO   \n",
       "3      Albania          ALB   \n",
       "4      Andorra          AND   \n",
       "\n",
       "                                      Indicator Name     Indicator Code  1960  \\\n",
       "0  Tasa tributaria total (% de utilidades comerci...  IC.TAX.TOTL.CP.ZS   NaN   \n",
       "1  Tasa tributaria total (% de utilidades comerci...  IC.TAX.TOTL.CP.ZS   NaN   \n",
       "2  Tasa tributaria total (% de utilidades comerci...  IC.TAX.TOTL.CP.ZS   NaN   \n",
       "3  Tasa tributaria total (% de utilidades comerci...  IC.TAX.TOTL.CP.ZS   NaN   \n",
       "4  Tasa tributaria total (% de utilidades comerci...  IC.TAX.TOTL.CP.ZS   NaN   \n",
       "\n",
       "   1961  1962  1963  1964  1965  ...  2011  2012  2013  2014  2015  2016  \\\n",
       "0   NaN   NaN   NaN   NaN   NaN  ...   NaN   NaN   NaN   NaN   NaN   NaN   \n",
       "1   NaN   NaN   NaN   NaN   NaN  ...  35.8  35.8  35.6  36.1  36.1  47.9   \n",
       "2   NaN   NaN   NaN   NaN   NaN  ...  52.3  52.3  52.6  52.6  49.0  48.0   \n",
       "3   NaN   NaN   NaN   NaN   NaN  ...  38.7  38.8  31.7  31.6  36.9  36.9   \n",
       "4   NaN   NaN   NaN   NaN   NaN  ...   NaN   NaN   NaN   NaN   NaN   NaN   \n",
       "\n",
       "   2017  2018  2019  Unnamed: 64  \n",
       "0   NaN   NaN   NaN          NaN  \n",
       "1  71.4  71.4  71.4          NaN  \n",
       "2  49.1  49.1  49.1          NaN  \n",
       "3  37.3  37.3  36.6          NaN  \n",
       "4   NaN   NaN   NaN          NaN  \n",
       "\n",
       "[5 rows x 65 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carga = pd.read_csv('tasa_tributaria_total.csv')\n",
    "carga.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tasa tributaria total, representando la carga impositiva que enfrentan las empresas como un porcentaje de sus utilidades comerciales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1a1befd510>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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hKpWKTZs2MXnyZKytrbl48SKTJk3ip59+MslfvklJSQwZMoRdu3ZRq1YtY4djNkyt9ubJkz/x6acbGDZsOE8/3ZTw8C/o1Ok5Nm/exIEDeVfQs2ZNZ8AAX7p1e1H3OiBgeIXe3hS1NwWhinNwcMDCwgJ/f3/8/PwIDQ0lLCzMJBPerl276N+/P2+++aZIeGbuzJnfeeml3gwc6Ie9vT3nzp0tdNv/2Wc78u23x5Ekifj4eP7886xRfi7FlZ4gCIKZMbUrvX/+uUZw8AdA3jNgT8/aKJVKLlw4r7vSy83NYfnypVy6dBFX15o8eJDM7NlzadWqdYXFVdSVnkh6giAIZsbUkp4hTp36GUmS6Nq1G6mpal59dQRbt+7A0dGxwo5ZVNITA1kEQRCECteoUWMWLJjHpk3rAXj99bcqNOEVRyQ9QRAEocLVrl2HTz75zNhhiIEsgiAIQvVRba/0VKoMNJonTyo2BmfnGiQnpxk7jFIRsVc+c40bROxlodVK5OTkIpOV/LpFobAgN7fkv/tkMpDLzec6qbjhKtU26Wk02lJ94yuDqcZlCBF75TPXuEHEXlpWVtY8eJCAvb0zcrmiUob+m9OQR0mSUKtTsLGxLvS1apv0BEEQzJWzsxupqSkkJcWh1WpKtK2FhYXe0nlP2tZc2NhY64rdP0okPUEQBDMjk8mwt3fC3t6pxNu6udkTH68u8XYKhQXOzjVKvJ2pMZ+0LQiCIAhlJJKeIAiCUG2IpCcIgiBUGxWa9FJTUxk4cCB37tzRLcvJyWHMmDH8/vvvumVRUVEMHjyYvn378sEHH+iaLsbExDBy5Eh8fHyYMGECaWl5Q4RVKhVvvPEG/fr1Y+TIkQY3OhUEwXRotRJaqeI+BKEoFTaQ5cKFC8ydO5fo6Gjdsn///Zc5c+bw119/FVh35syZfPjhhzzzzDPMmTOHiIgIRowYQUhICCNGjGDAgAGsW7eO9evXM3PmTMLCwvD29uaTTz7hwIEDLFq0iLCwsIp6KzqypEScX3ye3LbtyAwcRXYfH3isQ7MgCPqduhTLZ5FRFTYM3kImY7J/G9o9XbNiDiCYrQpLehEREQQHB/Pee+/plu3du5fx48ezbds23bK7d++SmZnJM888A8DgwYNZvXo1Q4cO5cyZM6xbt063fNSoUcycOZMTJ04QHh4OwMCBAwkNDSUnJwdLS8sCMahUKlQqVYFlVlZWuLu7l+o9SU7OZI4ag/X2z3H85hhaFxcy/QPIDByFpk3bUu1TEKqjC9cTcbRT8mK7J3fkLq1Dp6K5HqMSSU8opMKS3qJFiwoty0+Ajya9+/fv4+bmpnvt5uZGXFwcycnJ2NnZ6bop5y9/fBuFQoGdnR1JSUmFenJt27aNtWvXFljWoUMHdu3aVfqht8uXwJKF8O23WGzdiu22z7D9dCM88wwEBcHIkVCzbP/R3Nzsy7S9MYnYK585xn37fiqtG7syblDF/LF46so90rJyK/TcmON5z2fOsZeV0efpabXaAtUEJElCJpPp/n1UcVUHJEkqctLkmDFjGDRoUIFlVg9vRyYnp5WtooJ3V/DuiuzD5Si/2ov17nAsp0xBmjmT7D79yAwcSfZLvUFRslNc2jk0pkDEXvnMMe7UjBziktLp/3zDCovdqYYVMfdTK2z/5nje81X3eXpGT3oeHh4FBqIkJCTg7u6Oi4sLarUajUaDXC4nPj5ed1vS3d2dhIQEPDw8yM3NJS0tDSenwpM0HRwccHBwqND4JWcXMse9Qea4N5D/dQXr3eFY7/0S5dFDaN3cyRwaSObwUWiaNa/QOATBXETH5j1yeLpeySdWG8rV0Zp/7qRU2P4F82X0KQt16tRBqVRy7tw5AA4ePEi3bt2wtLTE29ubyMhIAA4cOEC3bt0A6N69OwcOHAAgMjISb2/vQs/zjEHTshVpoYtJvPA3KV/sJse7IzafrMflhY449X0R662bkT1INnaYgmBUN+7lXWU8XbcCk56DNcnqLLRaMYpTKMjoSQ9gxYoVLFmyBB8fH9LT03n11VcBCA4OJiIigv79+3P27FmmTJkCwLvvvsv58+cZMGAAO3fuZP78+cYMvzBLS7J9+qPatpPEC1dJXbgEWVY29rOm4dqmKfZvBGH5w3egKVnNPEGoCqJjVXi42GJrXXF/qLo4WKPRSqSkZVfYMQTzJJOK679QxZX5mV5JSRKKSxew3rUD5Vd7sEhORuNZm6yA4WQGjkDzVBOgej4rMAXmGrs5xj193Sma1Xfig9c6V1jsF68nELbnInNGe/F0nfLvzm2O5z1fdX+mZxJXetWCTEZu22dIXbKCxIv/j5QtX5DbqjU2a1bh8pwXTgP7YL1jG6jN8z+SIBgiJTWLZHUWDT0q9lm7q0NeS5nElMwKPY5gfkTSMwalkmzfV1Dt3EvShb9JnReKLDkJ+2mToWFDbNaEQZp5NtcUhCfJf57XyLNih8y7PEx6SSqR9ISCRNIzMm0tDzImTyH5lzMkH/kWOnXCbuF8XDu2w+bTDZAp/tMKVUd0rAqZDOq7V2zSs1EqsFUqSBRJz6geL0W5c+dOBgwYQP/+/Vm2bJmuu/natWvp0aMHfn5++Pn56YqPVASR9EyFTEZux04QGUny4W/IbdYcuw9m4dK5PdZfbIWcHGNHKAhlFn1PTe2aNVBaySv8WK6O1iSpsir8OELRLly4wPDhw3WlKG/fvs3nn3/Onj17OHz4MP/73/84deoUAJcvX2blypUcPHiQgwcPMnLkyAqLSyQ9E5TbqTMpXx3hwb7DaGvXwX7Gu7g874Xyy51ixKdgtiRJIvqemoYelVMNxNXBmgTxTK/cxcbGcufOnQIfj5d7hP9KUebPr65Xrx5Hjx7F1tYWlUpFamqqbh715cuX2bRpE76+voSGhpKVVXF/rBh9crqxmPIoJF2JoMED8z4AOVCxj/7LhzmXNzLX2M0l7vjkDFRp2bR52k0Xc0XGXqeWPdfuplTYMczlvBelLLGPHDmSu3fvFlg2adIkJk+eXGBZUaUoLS0tiYiIYNmyZbRt25bmzZuTlpZGixYtmDlzJg0aNGD27NmsX7+eqVOnljrGJ6m2Sa/SpywYqNjhxJKE1dHD1PhoEYq/o8ht2Zq02XPJ7tsPiinPVtmq4zBuYzOnuM9dzau8VNNeSXy8usJjt7WyIC0jh1t3krFRlu+vOnM6748r65SF8PBwNI/dcSpJ5auAgAAGDx7M+++/z9q1a5k2bRqffvqp7uuvvfYac+bMqbCkZ9DtzUuXLrFhwwbWrFnD2bNnKyQQQQ+ZjOyBL5P842lUGzZDRjqOrwbi5NMDyx+/p8J6tAhCOYm+p0JuIaOee+XcZdFNWxCDWcqVp6cndevWLfBhSNKLjY3VVd5SKBQMGDCAq1evEhMTw969e3XrSZKkazRQEfQmvcOHDzNx4kTi4+NJTExkypQpBQIUKplcTpZ/AMmnzqIOW4dFfDxOwwbh6NcPy19PGTs6QShW9D01ddxqYKmo+EEsIKYtmBq1Ws3MmTNRqVRIksTx48fx8vLC2tqa5cuXc/v2bSRJIjw8nN69e1dYHHrT6ZYtW9i7d6+ubc9bb73F66+/zpAhQyosKMEACgWZI0aT6R+AdfgX2K5ajpNfP7K79yBt9lxyvZ41doSCoCNJEtGxKryala6XZWn8d6UnRnCagqZNm/LGG28QGBiIXC7H29ubsWPHYmlpSWhoKBMmTCAnJ4cOHTowduzYCotDb9LTarUF+tR5eHgU2+JHMAKlkszXXidz+ChsPt+C7er/w7nfS2T17Ufaex+I5raCSYhPySQtM5eGFTwp/VGOdlbILWSiKouR/fDDD7rPAwMDCQwMLLRO37596du3b6XEo/f2pqOjIydOnNC9/vHHHyu8XY9QCjY2ZEyYRNKZi6TNmY/lb7/i8lJX7MePQf7/rho7OqGay28n1KiCy489ykImw9leKW5vCgXovdKbO3cuEydOJDQ0VLds/fr1FRqUUHqSnT3pU2aQMXY8NhvWYrNpPcojB8nyDyBtxmy0jRobO0ShGoq+p0Yht6COW+VOFarpaC0GsggF6E16zZo14/jx41y/fh2tVstTTz2l6z4umC7J0Yn02XPJeH0CtmvDsPnsE5QH9pE+833SJ00pcUd3QSiL6FgV9dztUMgrtx6Gi4M1f98SPSyF/xT7m2/jxo1FLv/pp5+AvAEtgumTXF1JC15IxltvU+ODWdRYHIrVN8dQrd2EtvFTxg5PqAa0ksTNODWdW3lU+rFdHjaT1Wi1yC1EASrhCc/0YmNjiY2N5bfffiM8PJy4uDgSEhLYs2cPFy9erMwYhXKgreWB+tPPUW3YjPza/8OlZxesP98i5vcJFS4uKZ2MLE2lPs/LV9PRGkmCB2rRTFbIU+yVXkhICABjxozhwIEDuLq6AnnlZiZNmlQ50QnlSyYjyz+AnOe6YP/OROzfm4ry2FHUYevQengaOzqhiop+2E6oMkdu5nNxUAJ5E9RdHa0r/fiC6dF7vR8fH69LeJA3mjMhIaFCgxIqlrZ2HVIi9qNesgLLX0/h3K0TygP7jB2WUEVFx6qxsrTA09W20o8tqrIIj9Ob9J5++mk++OADzp49y5kzZ5g1axZt2rSpjNiEimRhQea4N0j+/hc0jZ/C4Y2x2L/1GrLkJGNHJlQx0fdU1K9lb5RnaqIqi/A4vT+Fixcvxtramvnz5xMcHIyLi4vu1qdg/jRPN+HBkW9Jmz0X5aEDOHd/DssfvjN2WEIVodFquRlXee2EHqe0lGNnYykmqAs6eset29nZMW/evFIfIDU1lcDAQDZu3EjdunU5ffo0S5YsISsri379+jF16lSioqKYPXu2bpukpCQcHR05cuQI+/fv5//+7/90t1hffPFFpk6dSkxMDDNnziQxMZFGjRqxYsUKatQw3XZBJk2hIH3ae2S/1Bv7t9/AKXAwGWPHkzp/IYhzKpRBbGI62TlaGnkar6CFq4O1KEVWhdy+fZvw8HDS09ORJAmNRsOtW7fYsWOHQdvrvdL74Ycf6NOnD506daJjx466D0M83jk3MzOTOXPmsH79eiIjI7l8+TI//fQTLVq00HXM3b17N46OjixYsADIay44e/Zs3dfz202EhIQwYsQIjh07RuvWrcWE+XKQ2649yd+eJP2tSVh/vgXnnl1QnP3D2GEJZiw69uEgFiNd6UHeYBZxe7PqmDp1KmlpaZw5c4aaNWsSFRVF48aGF93Qm/SWLVvGlClTiIiIYO/evboPQzzeOffixYs0aNCAevXqoVAo8PX15dixYwW22bRpE88++yze3t5AXluj/fv34+vry4wZM0hJSSEnJ4czZ87oarUNHjy40H6EUrKxIS10MSlfHUGWk4PTwD7YLgmFbDHkWyi56HsqrK3k1HKp/EEs+VwdrUlQZSKJ6TlVglqtZuHChXTp0oUePXqwdetWzp8/b/D2em9v2tvb079//1IF93jn3Pv37+Pm5qZ77e7uTlxcnO61Wq0mIiKCw4cP65a5ubnx2muv0aFDB1auXEloaCizZs3Czs5O13PJzc2twH7yqVSqQm3sraysdElYKF5OlxdIPnEau7mzqbFqBVbffYt63SdomrcwdmiCGbkRm/c8z8KIRepdHazJytaQnpVLDWtLo8UhlA9nZ2cAGjRowD///EPbtm1L1ARBb9Jr06YNp06dokuXLqWP8iGtVlsgOEmSCrw+dOgQvXr1KjBFYt26dbrPx48fT+/evXnvvfcKvcmi3vS2bdtYu3ZtgWUdOnRg165dODub7rMqNzfj3QoqwM0edu2AYUOwfOMNXHp3g0WLYOpUKGYknsnEXgrmGrupxp2Tq+VOfCoDuzYuNsbKiL1R3bxfkpJcXq7HM9Xzbghzjr1evXosXboUX19f5s2bR2ZmJjk5OQZvrzfpnT59ml27dqFUKlEqlbpE9ccfJX/W4+HhQXx8vO51fHx8gauu7777jjfffFP3Wq1Ws2/fPoKCgoC8JCmXy3FxcUGtVqPRaJDL5YX2k2/MmDEMGjSowLL8uqHJyWnk5mpL/B4qmpubPfHxamOHUVCXl5Cd+A376e+gnDGD7K8OoF69AW39BgVWM8nYDWSusTjghCUAACAASURBVJty3DfvqcnJ1VLLUVlkjJUVu6Us77bmtehE7CzLZ9qEKZ93fUobu0JhYRIXCyEhIZw4cYJWrVoxaNAgTp48WaIZBXqT3qefflqmAB/Vrl07bty4wc2bN6lbty5HjhzB398fyEtoV65coX379rr1bW1t2bx5M+3bt6ddu3bs2LGD3r17Y2lpibe3N5GRkfj6+nLgwAG6detW6HgODg6iDVI5kdzcUG3bifLLndjNeQ/nF58nddEysgJHguivKBQh+l7eo4WGRhy5CY/O1RMjOKsCW1tb+vbtS2pqKoMGDSp0YaOP3qSXnp5e6uAep1QqWbp0KZMnTyYrK4vu3bvj4+MD5E1TsLS0RKlU6taXy+WEhYWxYMECMjMzadiwIR999BEAwcHBzJ49mw0bNuDp6cnKlSvLLU6hGDIZWYEjyXm+K/bvTMDh3YlkfX0E9YrVSOI5qfCY6HtqalgrcDNy+S97W0sUcgtRlaWKiIiIYNGiRWQ/HFyXf/cxKirKoO1lkp4hTd27d9d9npOTQ3JyMi1atOCrr74qQ9jGJ25vlpFWi82m9dRYHIJkb496xWocxww3j9iLYDbn/TGmHPeCrX9gb2PJ9MD2RX69MmN/f9Ov1K9lz4RXWpfL/kz5vOtj7rc3e/XqxcqVK2nZsmWBsRxyudyg7fVe6eW3Esp3+vRpMT1AAAsLMiZMIrvHS9i//QaOQSPgehRMnmnsyAQTkJOr4W58Gj6d6hs7FCDvFqeYq1c11KxZk7Zt25Z6+xI/1X3++ee5dOlSqQ8oVC2a5i148PX3ZIwYDQsX5rUrEqq92/fT0GglGhqhnVBR8qqyiKRXFTz33HNERESQkJBAamqq7sNQeq/0/v777wKvL126REZGRskjFaouKytSV3yMTUoSdrOno/WsTXbffsaOSjCi/EEsjYzQTqgoro7WpKRmk6vRVnr3dqF8ff7552RkZDB//nzdspI809Ob9B6dQiCTyXBxcSE4OLgUoQpVmkIBX35JbtcXcHgjiAf7j5LbwdvYUQlGciNWhYOtJc72Sv0rVwIXByUSkKTOwt3JxtjhCGVw9uzZMm1f4md6glCsGjVI2bEH5wG9cBwVQPKRb9E2fsrYUQlGEH1PTUNPhxJVyqhI+X31klIyRdIzU0eOHGHgwIGEh4cX+fVXX33VoP3oTXqJiYkcOHCAlJSUAsunTZtm0AGE6kVydydl9z6cBvTGcbg/D45+h1SzprHDEipRVraGmIQ0vJq66V+5kuR3TRfP9SrX4112du7cSXh4OJIk0b17d111raioKD744APS0tLw9vYmJCREV2Yy37Vr1wCKHFNSrmXI3nrrLVxdXalf3zRGYQmmT/NUE1K2f4mTvy+OowN4sO8I2Bqv4LBQuW7dVyNJxp+U/iiXh7dZRdKrPBcuXGDu3Lm6Lju3b9/m888/58CBAyiVSkaOHMmpU6fo2rUrM2fO5MMPP+SZZ55hzpw5REREMGLEiAL7y++w079/f3r06FHga4/Wa9ZHb9LLyspi48aNBu9QEAByn+2EauNnOIwdicNbr6HaGg4GzqMRzJsptBN6nKVCjkMNKzFtoRzExsai0WgKLCuq+lV+l5333nsPyKuZefToUSwtLUlOTiY1NRUHBwfu3r1LZmYmzzzzDJDXNWf16tWFkt5PP/1Ebm4uS5YsQZIkXdeM3NxcwsLC8PX1NSh+vUmvVatWXL9+naeeqlrPZkxhkmVxzLkYbIHYxwyHMcNRAqZzo6t45nreTS3u2OQMXB2tadJI/23tyozdw9UWdUZuuR3T1M57SZQl9pEjR3L37t0CyyZNmsTkyZMLLHu8yw6ApaUlERERLFu2jLZt29K8eXOuXLlSoPtOcV1zLl68yK+//kpiYiKbN2/WLZfL5YwePdrg+PUmvWeffZaXX36ZWrVqYWn5X1uO48ePG3wQUyQqspS/4mKvETof27VhpM4NIeOdqUaITD9zPe+mGPff0UnUd7fTG1dlx+5gY8md+LRyOaYpnndDlbUiS3h4eJFXeoYKCAhg8ODBvP/++6xdu5bu3bs/sftOvsmTJzN58mS2b99eoiRX6H3oW2Hz5s0sXbpUPNMTSi1t7gIs7t7G7sNgtLVrkzVkmLFDEipIRlYu95LSea61h7FDKcTFwZqL1xOL/aUqGMbT07NU28XGxhITE4OXlxcKhYIBAwawa9cuhg0bVqD7TkJCwhN7ng4dOpRDhw6RkpJSoDFwuY3etLe3N/heqSAUycIC9eqNWMTFYf/uRLS1PMh5obv+7QSzc/Ne3hVEIxN6npfP1dGa7FwtqRk52NtaGTucaketVjNz5kwOHDiAvb09x48fx8vLizp16qBUKjl37hxeXl4cPHiwyK45+WbNmkV0dDRNmjTR/fFSrqM3O3fuzIoVK+jTp4+uFx1A8+bNDT6IIKBUotq2EyffvjgEjeTB4eNoWrYydlRCObvxsBJLA1NMeg7/TVsQSa/yNW3alDfeeIPAwEDkcjne3t6MHTsWgBUrVjB37lxSU1Np1arVE6/a/vrrLyIjIws8bisJvUnvwIEDQMEhoTKZjBMnTpTqgEL1JTk6kbJzL079e+E4YggPIr9DW7uOscMSylF0rJqajtYmmVR0SS8li4amd/e1yvrhhx90nwcGBhIYGFhonebNm7N3716D9ufp6YmFRelLyYmKLEKl0tatl5f4XvbBcfgQHhw+huTgaOywhHISfU9lUvPzHuXikDdXT0xbMG/NmzcnKCiIF154AWvr/3o1ltszPUEob5rWbVBt3YHjcH8cxo4iZdc+sDK9KwOhZFIzcoh/kMmLz5jm1budjSVWlqKZrLlLTk7Gw8NDV6EFyvmZniBUhJzuPVCHrcNh0pvYvzsR9fpPQYyoM2v5g1hMaVL6o2QymWgxVAUsX74cyCtxZmdnV+LtRY8NwWiyAoaTNmc+1vsiqLE41NjhCGV0I9Z0B7HkE81kzd/Nmzd5+eWX6d+/P3FxcQwcOJAbN24YvH2xV3qP99F7nBi9KZSH9HenY3HnDrYf/x+a2nXIHDve2CEJpRR9T00tZxtsrUs3qq4yuDpYczvOPCeVC3lCQ0OZPn06q1atwt3dnYCAAObPn8/27dsN2r7YpPdoH73HidGbQrmRyUhdugKLezHYvT8jrwGtT39jRyWUQvQ9FU3rOhk7jCdydVCiSs8hO0eDlaWoBWuOkpOT6d69O6tWrUImk/Hqq68aPPITnpD0xKhNodIoFKg2bcVp8AAc3hzLg6+OkOv1rLGjEkogJS2bJFWWyT7Py+fycNpCsjqLWi6i84e5ys7O1g1eSUxMLFCZRR+9z/TS09NZtGgR48aNIyUlhZCQEDIyMgw+QGpqKgMHDuTOnTsAnD59Gl9fX/r06cOqVat0661du5YePXrg5+eHn5+frlFgVFQUgwcPpm/fvnzwwQfk5uYCEBMTw8iRI/Hx8WHChAmkpaUZHJNggh42oNW618JxVAAW/143dkRCCUQ/fJ5nqtMV8tV82FcvQTzXM1uBgYGMHz+exMREwsLCCAgIYNgww0sb6k16ixYtwsrKiri4OCwtLUlMTGTevHkG7fzChQsMHz5c108pMzOTOXPmsH79eiIjI7l8+bLuivLy5cusXLmSgwcPcvDgQUaOHAnAzJkzmT9/PsePH0eSJCIiIgAICQlhxIgRHDt2jNatW7N+/XqD37RgmiQ3N1J27wNJwilwMLKEBGOHJBgo+p4amQzq1yr5aLrK5PJIB3XBPAUEBDBx4kT69+9PWloa8+fPZ9SoUQZvrzfpXblyhZkzZ6JQKLC1tWXVqlX89ddfBu08v59SfvHQixcv0qBBA+rVq4dCocDX15djx44BeUlv06ZN+Pr6EhoaSlZWVpF9lo4dO0ZOTg5nzpyhb9++BZYL5i+/Aa3FvVgcRw2F9HRjhyQYIDpWRW3XGlhbmfYsKGd7JTJEM1lzFhcXR6NGjRg7dizjx4+nRYsWqNWGD07S+xP6eLkXSZIMLgHzeD+l+/fvF+ib5O7uTlxcHGlpabRo0YKZM2fSoEEDZs+ezfr163nxxReL7LOUnJyMnZ2drp18cf2XVCoVKpWqwDIrK6snVvAWjE80oDUvkiQRfU9N60Yuxg5FL4XcAid7pUh6Zszf35/ExESsra2xsLAgPT0dCwsL3Nzc+Pjjj2nXrt0Tt9eb9Ly8vFi5ciWZmZn8+uuvbN++nY4dO5YqWK1WW2TfpBo1avDpp5/qlr/22mvMmTOHbt26Fbl+Ua1BipqRv23bNtauXVtgWYcOHdi1a5doIltByi32McMhNQnlpEm4hc6BdesqfPK6uZ53Y8edmJJBSlo2rZu4lTgWY8Rey6V8mska+7yXhTnH3q1bNzp06MCQIUMAiIyM5Pfff8ff358PP/xQ9wisOHqT3syZM9m4cSO2trYsXbqUrl27FuqQaygPD48CfZPi4+Nxd3cnJiaG06dP696EJEkoFIpC6+f3WXJxcUGtVqPRaJDL5br9PG7MmDEMGjSowLL8ThGiiWz5K/fYA16lxt//5DWgdfWo0Aa05nreTSHuP/9f3v/RmnZWJYrFWLE72FoSfU9dpmObwnkvrbI2kTW2qKgoFi9erHvdv39/tmzZQkhICNnZ2Xq315v0rKyseOedd3jnnXfKFinQrl07bty4wc2bN6lbty5HjhzB398fa2trli9fTqdOnahbty7h4eH07t272D5LlpaWeHt7ExkZia+vLwcOHCiy/5KDg0OJOvoKpie/AW2NRQvIeb4Lud6lu8sgVJzoeyrkFjLquZv2IJZ8rg7W/Pn/4tFKEhai9J3Zyc3N5fr16zz11FMAXL9+HY1GQ3Z2tm50/5NU6lNnpVLJ0qVLmTx5MllZWXTv3h0fHx9kMhmhoaFMmDCBnJwcOnTooLfPUnBwMLNnz2bDhg14enqycuXKynwrQmWxsCB1xcdY/vE79lPeJvm7n+GRyuqC8UXHqqlTs4bZTPZ2cbAmVyOhTsvG0U5p7HCEEpo6dSojRoygefPmSJLE9evX+eijj1i9ejU9e/bUu71MKsmsvipE3N4sfxUZu+UP3+EUOJi0KTNInzO/3Pdvrufd2HFLksS7q3+hQ9OaBPVrUaJtjRX7+WsJrN53kbmvetO4dunuBBn7vJeFud/e/Pvvv3F3d+ePP/5AoVDg5eWFs7MzarUae3v9zypFwWnBLOT07EXG8FHYrlmF4sL/jB2O8FBCSiapGTk09DCfxwiujv91UBfMz9SpU3FxccHHx4devXrh7OwMYFDCAwNub2ZlZXH8+HFSUlIKlHoxtGGfIJSXtJBFWP3wHfbvvk3yNydEDz4TEJ3fTsjTfEYDuj5sJpsoJqibpSZNmhAZGYmXlxc1avx35WlomyGDRm/evHmTJk2a6KYFlKRhnyCUF8nJmdTlYTi+Gojt6pWkz5ht7JCqvehYFQq5jLpu5jGIBcBGqcDaSi5aDJmpkydP8s033xRYJpPJiIqKMmh7vUkvKiqKyMhILC1Nt12IUH1k+/Qnc/BQbFctJ6u/L5qWrYwdUrUWfU9NPXc7FHLzeVIik8lwdRTNZM3VuXPnyrS93qTn6elpcAUWQagMqYs+wurkj9i/O5EHX38PCtMufVVVaR9WYuncspaxQykx0UHdfGm1Wn7++WfS09ORJAmNRsOtW7cMnlan97dF8+bNCQoK4oUXXsD6kaHi4pmeYCySqyvqpf+H4/gx2KxfU6GT1oXi3U/OICMr1+TbCRXFxcGaf2NU+lcUTM60adP4999/SUxMpFmzZly6dKlEVcL0Jr3k5GQ8PDy4du2abpl4picYW/bLg8ga+BU1li8mu98ANE2aGjukasdc2gkVxdVBSWpGDlnZGpRW5jG/UMhz5coVvvnmG4KDg3nttdfIzc1l4cKFBm+vN+ktX74cyOuLZ+joGEGoDOolK3A5dTLvNufh46IodSWLvqfGSmFB7Zrm14zV1eG/aQu1axp/7llVlZqaSmBgIBs3bqRu3bp8+eWXbN++HZlMRuvWrQkJCcHKyoq1a9eyb98+XQWtgIAAXXu5x7m7u6NQKGjYsCHXrl3Dx8enUGOBJ9H7sO7mzZu8/PLL9O/fn7i4OAYOHMiNGzcMPoAgVBSpVi1SP1yG5dk/sNm80djhVDvRsSrq17JHbobP/HV99cRzvQrzeD/VGzdusGXLFnbv3s2hQ4fQarXs3LkTKL6falFsbGyIjIykefPmHDt2jOvXr5NeghZken9aQ0NDmT59Oi4uLri7uxMQEMD8+eVfEUMQSiNryDCy+vhQY3EoFjf+NXY41YZWK3EzLtUsn+dBwSs9oWRiY2O5c+dOgY+irrQe76dqZWVFcHAwdnZ2yGQymjZtSkxMDFB0P9XizJs3j4sXL9KlSxc0Gg1Dhw7Vla00iKTHoEGDJEmSJD8/P90yX19ffZsJglCFRcemSAOnHZC+P3PL2KGUSm6uRnp5xkHpi8i/jB2K2enRo4fUtGnTAh+rV69+4vq3b98usCwxMVHq0aOH9Ntvv0mpqanS+PHjpX/++UfKycmRpk+fLq1cubLC4jdorHd2drZu8EpiYmKByizmStTeLH/GjN06/Avsp05CvWwlmWPHl3h7cz3vxor7f3/dA8C1hmWpj2/sc+5sZ8XtWFWpYjB27GVR1tqb4eHhaDSaAl8rSTebuLg4xo8fj7+/P506dQIosp/q1KkVMypb7+3NwMBAxo8fT2JiImFhYQQEBDBs2LAKCUYQSitzxGiyu/egRuh8LG7fMnY4VV50rBqllRwPV/MbxJLPxcFaPNMrBU9PT+rWrVvgw9Ckd/36dQIDAxk0aBBvv/02ADExMezdu1e3jvSwn2pF0Zv0AgICmDhxIv379yctLY358+czatSoCgtIEEpFJkO9cg0A9tMmQxW4G2HKou+paFjL3qz70YmqLJUrNTWVcePG8e677/Laa6/pluf3U719+zaSJOn6qVYUg9Jp586d6dy5c4UFIQjlQVuvPmnzQrCfPR3rXTvIHDHa2CFVSbkaLbfup9KzQx1jh1Imrg7WnFHfR6uVsLAw3+RtLvbu3UtCQgJbt25l69atAPTs2ZN333232H6qRSlrEwRRv0moUjKDxqE8tJ8a8+eQ3eMltJ61jR1SlROTkEZOrtas2gkVxcXBGo1WIiUtG2d70Uy2ovzwww8ABAUFERQUVOQ6ffv2pW/fvgbtr6xNEETSE6oWCwvUK9fg0uN57GZOQbX9SzDjW3CmKL+dUCMzaidUFN20hZRMkfTMSFmbIJjfrFJB0EPb+CnS3p+H8ptjKPdFGDucKic6VoWtUoGbk42xQykTXV898VzPrJS1CUKxV3pvv/32Ey8Z165dW+qDCkJFy3h9AsqD+7H74D2yu/VAejhBVii7G7FqGnram30NXlGVxTyVtQlCsUnvxRdfLHNwgmA0cjnqj9fj/FJX7N+fgWrLF8aOqErIydVwJz6Vvh3rGzuUMrNRKqhhrSBBJD2zUtYmCMUmvaFDhxa70e3btw0+gCAYi6ZpM9Jmvo/dhwuwOnyAbN9XjB2S2bsTn4ZGK5lt+bHHuThYk5Qikp45KWsTBL03Rvfs2UPHjh1p3bo1rVu3pmXLlk9MiI9LTU1l4MCB3LlzB4DTp0/j6+tLnz59WLVqlW697777Dj8/P15++WUmTpxISkoKAPv376dr1674+fnh5+en2yYmJoaRI0fi4+PDhAkTSEtLK9EbF6qHjInvkNOuPfazpiNLTDR2OGYvv51QIzNsJ1SUvGayxdd5FExPWZsg6E16GzZsYMOGDXTp0oWIiAgmTpxIv379DNr541W2MzMzmTNnDuvXrycyMpLLly/z008/kZqayoIFC/jkk084dOgQzZo1Y82avInGly9fZvbs2brq2/mlaUJCQhgxYgTHjh2jdevWrF+/3uA3LVQjCgXqsHXIUh5gN3eWsaMxezfuqbG3tcTFoWqMdhQd1M1PWZsg6E16Tk5OeHl50aJFC5KTk5k0aRK///67QTt/vMr2xYsXadCgAfXq1UOhUODr68uxY8fIyckhODiYWrVqAdCsWTNiY2MBuHTpEvv378fX15cZM2aQkpJCTk4OZ86c0c3rGDx4MMeOHTP4TQvVi6ZVa9KnzMB6XwRWx782djhmLTpWRUMPB7MfxJLPxVFJRlYu6Zm5xg5FMFBycjLdu3cH8p7lvfrqq7o7g4bQm/QUCgUqlYqGDRty+fJlgELFRouzaNEivL29da/v37+Pm5ub7rW7uztxcXE4Ozvrys5kZmbyySef0KtXLwDc3NyYOHEihw4dwtPTk9DQUJKTk7Gzs9PVZ3NzcyMuLq7Q8VUqVaEWGPfv3zcodqFqSX93OrktWmE3cwqylAfGDscsZeVouJuQVmWe58F/c/WS1OJqz5yUpQmC3snpQ4YM4Y033mDDhg0MGjSI77//noYNG5YqUK1WW+AvREmSCrxWq9W8/fbbNG/enEGDBgGwbt063dfHjx9P7969ee+99wr9pVnUX57btm0rNLWiQ4cO7Nq1C2dn0+2W7OZmvr9UTDr27dugUydqLlkAW7YU+rJJx/4ElRV31I0kJAnaNXMvt2Ma+5w/lZ4DQC6yEsdi7NjLwpxjf7wJwuHDh0vUT09v0gsICKB///7Y2dkRHh7O5cuX6dKlS6mC9fDwID4+Xvc6Pj5ed+vz/v37jBs3js6dOzNnzhwgLwnu27dPV7pGkiTkcjkuLi6o1Wo0Gg1yubzAfh41ZswYXfLMZ2VlBYjWQhXB5GOv35Qab7+L7eqVPOjrS06Pl3RfMvnYi1GZcf/v77x2Qs62pW8n9ChTOOcWmrzfATduJ9PQzfA/hE0h9tIqa2shYwsICKB+/fqcOHFC1wQh/3anIfQmvUGDBrF//34A6tSpQ506dfD19eXw4cMlDrZdu3bcuHGDmzdvUrduXY4cOYK/vz8ajYa33nqLfv36MXHiRN36tra2bN68mfbt29OuXTt27NhB7969sbS0xNvbm8jISHx9fTlw4ADdunUrdDwHB4cS9XkSqr60GbOx+voI9tPfIfnkb0h25vsXb2WLjlXhZGdVpUp2OdpZIbeQiRGcZqYsTRCKTXpjx47lypUrpKam0rFjR93y3NxcWrRoUaqDKZVKli5dyuTJk8nKyqJ79+74+Pjw3Xff8ddff6HRaDh+/DgArVu3ZtGiRYSFhbFgwQIyMzNp2LAhH330EQDBwcHMnj2bDRs24OnpycqVK0sVk1DNWFujDluH08A+1AidT+pHq/RvIwB5NTfNvcj04yxkMpztlWIEZzUik4p5AqhSqUhOTmbOnDksWbJEt1wul1OrVq0KbfJXGcTtzfJnTrHXmPc+tpvW8WD/UXK6vGBWsT+qsuLOyMpl0qqT+L3QiJe7NCqXfZrKOf9o55/kaiXmjPIyeBtTib00zP32ZlkVO3rTwcGBBg0aEB4ejpWVFefPn+fs2bMAZp/wBCHt/XloGjbCfsrbIAob6HUrTo1E1ZmU/ijRQb160Zu9Tp06xfTp02nXrh1arZbFixezfPlyevToURnxCULFsLXNu835Sn9qLF0IG9fp36YauxGbd2XQoApNV8jn4mBNsjqLXI0WhVw0njF1t2/fJjw8nPT0dCRJQqPRcOvWLXbs2GHQ9nq/w2FhYXzxxRds2rSJTz/9lPDwcFavXl3mwAXB2HKe70rG2PHYfLIBHt7FEIoWfU+Fq4M1DrZWxg6l3NV0tEaS4EGqGMxiDqZOnUpaWhpnzpyhZs2aREVF0bhxY4O315v0cnJyaNq0qe51s2bNDJ6cLgimLm3uArCxhc2bjR2KSYt+2E6oKsovqZYkRnCaBbVazcKFC+nSpQs9evRg69atnD9/3uDt9SY9Kysr/vrrL93rK1eu6Oa6CYK5k+wdyPLpD3v2QHa2scMxSWmZOdx/kFGlKrE86tEO6oLpc3Z2BqBBgwb8888/ODk5lU9roXwzZszg9ddfp3HjxshkMq5du1agO4IgmLuswUOw/moPVj/9QHZvH2OHY3Ki7+U9z6uKg1jgv2ayYtqCeahXrx5Lly7F19eXefPmkZmZSU5OjsHb6016HTt25PDhw5w/fx6tVkv79u1RKqvO5FRByH7xJXB2RvnVXpH0ipDfTqgqDmIBUFrKsbOxFCM4zURISAgnTpygVatWDBo0iJMnTxISEmLw9gZXZOnZs6duWWkrsgiCSbKygiFDUIbvRJ2eDra2xo7IpETHqnF3tqGGtaWxQ6kwrg7WooO6iUtPT8fW1hatVku3bt1ITU1l0KBBhUpN6lOpFVkEwWQNH47s009RfnuMLL/Bxo7GpETfU/FUHUdjh1GhXB2tuZeUbuwwhCcYOXIk+/fvx9vbG5lMpmtYkP9vVFSUQfspNul9/PHHT6zIIghVSrduaDw8UX61VyS9R6jSsklUZfGSV9V8npfPxUHJleikQp1fhLJJTU0lMDCQjRs3UrduXb788ku2b9+OTCajdevWhISEYGVlRVRUFB988AFpaWl4e3sTEhJSqAjKvn37ANi7d2+ZLrwMqshSv3593UedOnVERRah6pHLyfIbjNX334h+e4/4bxBL1Xyel8/VwZqsbA3pWaKZbHm5cOECw4cPJzo6GoAbN26wZcsWdu/ezaFDh9BqtezcuROAmTNnMn/+fI4fP44kSURERBTan4WFhW5duVxe6MNQovyAIDyUNXgIsuxslEfF8+p80bEqZED9WlU/6YGYtmCI2NjYQs25VSpVofUiIiIIDg7WtX2zsrIiODgYOzs7ZDIZTZs2JSYmhrt375KZmckzzzwDwODBgzl27Fixx2/SpAmRkZHExcWRmpqq+zBUtb1kM+XCqebc4NGcY3fu8yJIEvaAOb2LijznMUkZ1K1lR/26zhWyf1P5eXkqI+8KryTNZE0l9tIoS+wjAc3VggAAIABJREFUR47k7t27BZZNmjSJyZMnF1i2aNGiAq/zW9MBJCUlER4ezpIlS7h//z5ubm6PxOZGXFxcscc/efIk33zzTYFl5fJMr6oTXRbKX1WI3Xbph9iGrSDxwlUkM3h2XdHn/OqtJFo2cKmQY5jSz4uF9mEz2TsPaFzLTu/6phR7SZW1y0J4eHihqlwl6VsaFxfH+PHj8ff3p1OnTpw7d67Ac1R9z1XPnTtX4tgfpTfplbW4pyCYk6zBQ6mx8iOsD31FxusTjB2OUSWrs0hJza7yz/MAHGwtUcgtxO1NA3h6epZ62+vXrzN+/HhGjx7Na6+9BoCHhwfx8fG6dRISEnS3RIui1Wr5+eefC+Wkd955x6AY9Ca9qVOn0qJFC86ePYuPjw8nTpygTZs2Bu1cEMyNpmkzclu1QfnV3mqf9PInpTesopVYHiWTyXB1EM1kK1Jqairjxo1jypQpvPLKK7rlderUQalUcu7cOby8vDh48CDdunUrdj/Tpk3j33//JTExkWbNmnHp0qUC0+r00TuQpazFPQXB3GQOGoLluTNY3Iw2dihGdeOeGguZjHru+m/3VQWir17F2rt3LwkJCWzduhU/Pz/8/Pz4+OOPAVixYgVLlizBx8eH9PR0Xn311WL3c+XKFQ4ePMhLL73E/Pnz2bVrV/kOZHm8uGfbtm3FPBahSssa5I/dh8EoD+wj493pxg7HaKLvqahdswZKS8OHg5szV0drLv2baOwwqpwffvgBgKCgIIKCgopcp3nz5uzdu9eg/bm7u6NQKGjYsCHXrl3Dx8enyNGjxdF7pZdf3LNDhw7s2LGDnTt3lqi4pyCYG229+uR07Iz1V3uMHYrRaLRabsSoqsXzvHyuDtakpGaTY4ID3IT/2NjYEBkZSfPmzTl27BjXr18nPd3wajp6k15ISAht27YtdXFPQTBHmYOGoIj6C3nUX/pXroL+uZNCWmYubRq7GjuUSpPfVy9ZNJM1afPmzePixYt06dIFjUbD0KFDGTt2rMHbF5v08jPn48U9V6xYIWpvClVe1suDkORylPsNu+VS1Zz/JwGFXEarRi7GDqXSiAnq5uHmzZvMnj0bCwsL1qxZw59//lmiKRPFPtMrj+Kej9ddO336NEuWLCErK4t+/foxdepUgGLrrsXExDBz5kwSExNp1KgRK1asoEaNGqhUKmbMmMHt27dxcXEhLCyswORGQSgryc2NnBe6Y/3VXtLfnwfV6Dm2JEn871oCzes7Y6OsPlN5XR3zkp4YzGKafvrpJ3Jzc1myZAmSJCFJEpDXBCEsLAxfX1+D9lPsld6jxT0vX77MlStXCvyrz+N11zIzM5kzZw7r168nMjKSy5cv89NPPwHF110LCQlhxIgRHDt2jNatW7N+/XoAwsLC8Pb25uuvv2bo0KGFZv4LQnnIHDwU+a1oFOfOGDuUShWbmM795AzaN6lp7FAqlYt93u1NMW3BNF28eJEtW7aQmJjI5s2b2bJlC1u2bGHHjh2MHj3a4P0Um/TKWtzz8bprFy9epEGDBtSrVw+FQoGvry/Hjh0rtu5aTk4OZ86coW/fvgWWA5w4cUKX1QcOHMjJkyfF4Bqh3GUP8EVSKqvdLc7z/yQA0O7p6pX0LBVyHGpYidubJmry5Mns3LmTadOmsXPnTt3H9u3bix0VWhS99y7yi3t6eXlRo8Z/9Srt7J48d+fxq6/H66u5u7sTFxdXbN215ORk7OzsdB0dHq3H9ug2CoUCOzs7kpKSCrU8UqlUhYayWllZPXG2vyDkk+wdyO7VF+XB/aSFLoESVHI3Z/+7Fk+DWva4PHzGVZ24irl6Jq927dp8//33hZa/9NJLBm2vN+mVtbhnPq1WW2R9teKWF1V/rbj5gZIk6a5MH7Vt2zbWrl1bYFmHDh3YtWuXKDhdQapc7EGj4egh3K6cAwP/U1W28jznyepM/o1RMbxP80r5Xpraz0ttNzuiY1UGxWVqsZeEOce+ZcsW3ef/v717j4uqzv84/poLM8PF4SYk4B0r75piZd43FbyFEJmbaxbrVqauuYURoSZqsulqu0ua1bbbCvmLvOua9VPX2t9qbRdviLl4S1FSEBSGyzCX8/sDmRwucZthZpjv8/GYh3I4Z857gOHDuXw/X4PBQE5ODkOGDLFd0Wtpc89qNfur5efnExwcXG/ftYCAAEpKSjCZTCgUCsv6UHWUWFBQQIcOHTAajZSWluLn51drn7Nmzao1lbxKpQJEw2l7aJPZ7x9JoE879O9/gK5/41sdtRZbf83/dfwqkgT3hNr/e+mMPy/eagX5RWVcv178s004nDF7Y7W04bSjVc/BV+3MmTO8/fbbjd6+wXF6ZrOZzz//nE8++YS9e/eye/du3nrrrSYHHTBgABcuXOCHH37AZDKxZ88eRo4cadV3DbD0XfPw8CAiIoK9e/cCsGPHDks/tlGjRrFjxw4A9u7dS0REBB4eHrX2qdVq6dixo9VDnNoUmsTTk8qJk1Hv2QX6tj9+62hOAYFatdu0Hqsp0FdDpdFMSbm4R8BV3HvvvZw7d67R6zd4pNfS5p7V1Go1qampzJ8/H71ez6hRo4iKigKq+q4lJyej0+no06ePpe/a0qVLSUxMZMOGDYSEhLB27VoAFixYQGJiIpMmTaJdu3asWbOmyXkEobEqYuPQZG5GdXA/lRMmOTqO3egNJrIvFjKif6jbthqsHqtXWFyB1kvl4DRCXe68nidJEllZWXVe3qpPg0Xv1KlTfPbZZyxdupT4+HiMRiPLly9v9A6q+64BDB06lF27dtVap76+a2FhYWzatKnWcj8/vyYdzgpCSxhGjMYcGIh6+8dtuuidvlhEpdHMQDcbqnCnOweod+3Q9meXcEV3XtOTyWQEBASQmpra6O0bLHotbe4pCC7PwwP9lKloPvqQEp0OGrhz2VUdzcnHU63g3s61r4+7i+oB6jeK2/6pbFdV85peUzV4TNjS5p6C0BZUxE5DVl6Oet8/HB3FLsySxPGzBfTrHohS0fhTRW2Nt0aJykMuhi04scLCQhISEhg2bBijRo1iyZIllJQ0/sacBn+6W9rcUxDaAuP9D2AK69hmB6pfuFpMcZmBgW42IL2mqslkNWKAuhNbvHgxwcHBpKen8/7776PRaFiyZEmjt2+w6LW0uacgtAlyOfqpj6L65wFkhW1vzrWjOQXIZTL6hbvPrAr1CdRqRCsyJ3b58mUSEhLo1q0b4eHhJCUlcfbs2UZvX+81PVs19xSEtkIfG4fXW39EvXsnFbPiHR3Hpo6dLeDezn54a2oP/XE3AVoNl6655hg8dxAUFMSVK1cICwsD4Nq1a7Rv3/gzFPUWvRMnTnDkyBFLc89qCoWiSc09BaGtMPbtj/Hue1Bv39Kmit61ojKuFpQyakCoo6M4hUCtmuIyA5UGEyo3mTXeFcydOxeZTMatW7eYOnUqw4YNQ6FQcOTIEe69995GP0+9RW/+/PnMnz+fTZs2iSInCAAyGfqYOLxWr0KedxVzSNsoEsdyqhpMu/NQhTtZphgq0dMhwMvBaYRqo0ePrnP5gw8+2KTnaXDIQkubewpCW6KPjcP7jddR79hG+Zx5jo5jE8dyCugY5E2Qn6ejozgFy1i94gpR9JzIpEmT8PLyQqfTteh5Gix6LW3uKQhtial7DwwD7kO97eM2UfR05QZycm8xcWhnR0dxGgFiBnWnVHNi82pNmdgcGlH0WtrcUxDaGn1MHD6vvYri/FlM3Xs4Ok6LnDhXgFmSGNgjqOGV3YR/OzUyxAzqzubOic179erV7Odp8ijUpjb3FIS2Rj81FkkmQ73N9cfsHcspwNdHRdcQ151qxtaUCjl+7dRi2IIN6HQ6Jk+eTG5urmWZwWBg1qxZfPXVV5ZlaWlpjBkzhujoaKKjo8nIyKj1XC2d2Lxag0d6LW3uKQhtjTk0DMPQYai3b6HsxZfBRZszG4xmTl4o5MHedyF30ddgLwFatTi92ULHjx8nOTmZixcvWpadP3+epKQksrOzrdbNyspi7dq13HfffQ0+b3MnNq/WpGt6zWnuKQhtkT4mjnYJL6DIOompX39Hx2mW7y8Voa80uX0XlroEajVczBNj9VoiMzOTpUuXsmjRIsuyLVu2MHv2bD744AOrdbOysti4cSNXrlxhyJAhvPzyy6jV6jqf9/PPP7dMbH7nhON2u6YnCALop0Tj88pLaLZ9TKmLFr1jOQWoPOT07urv6ChOJ1Cr4bv/5mOWJHEUXENeXh4mk8lqmVarrdWpa+XKlbW2rS6Adxa90tJSevXqRUJCAl26dCExMZH169ezcOHCOvf/3Xff1VpWXl7e6PwNFr3CwkJWrVrF4cOHUSqVjBo1ioSEBNq1c+1rAM4wA3B9goJc92vrNtmD2oHBgBfg6Jvam/M1lySJE+dvMLjnXYSGOG5WBWf9eekS6ovRdAmVRoX/7bs5a3LW7I3RkuwzZszgypUrVsvmzZvH/Pnzm/V83t7evPvuu5aP4+PjSUpKqrfoxcXFsX37dqtlv/zlL9m9e3ej9tdg0Vu8eDFdu3YlPT0ds9nMRx99xJIlS1i3bl2jduCsiopKMRrNjo5RS1BQO/LzXfO0irtlV2/5CO3zv6Fo16cYHxxqp2Q/r7lf84s/FnPjVgW9Ovk57HvmzD8vKnnV0d2ZCwWEh/rW+rwzZ29Ic7MrlXL8/b3JyMio80ivua5evcrhw4eJi4sDqv4gUyprl6ann36aU6dOodPprCYyNxqNTbqbs8Gid/nyZd566y3Lx0lJSaLvpiAA+qhJSJ6eaLZ/jM5BRa+5juUUIJNB/x6iwXRdLF1ZivWEt43GOzYTEhJi0+fTaDSsXr2aBx54gI4dO5KRkcG4ceNqrffHP/6RoqIikpKSWLVqlWW5QqHgrrvuavT+Gix6LW3uKQhtlo8P+vETUO/ajm7F78HDdZo1H8spoEeYL1ovlaOjOKVAbdVNFOIOTvsLCAggJSWFOXPmYDAYGDRoUJ3T11VfN6xrOENT1Fv0bNXcUxDaMn1MHJqd2/D41yEMv6j916kzKrhVzqXrOh4bE+7oKE7LU61Eo1KIsXo2cPDgwVrLNm3aZPVxZGQkkZGRrZKn3qJnq+aegtCWVT48DrPWF822LS5T9I6frZoP8L67RReW+shkMgJ9NaIrSxtUb9GzVXNPQWjT1Gr0kx9BvWsHlJeDp/M3bT6Wk0+HAC/RTLkBYjLZtqneomer5p51eeedd9i6dSsqlYqJEycyevRoEhMTLZ8vLCzE19eXPXv2sH37dv7whz8QGFh1wX306NEsXLiQq1evkpCQwI0bN+jWrRtr1qyxGp0vCK1FHxOH54ebUO3/lMopUx0d52eVVRj5/tJNxg3p5OgoTi9Aq+HclVuOjiHUcPnyZTIyMigrK0OSJEwmE5cuXSI9Pb1R29db9GzV3LOmw4cPs3v3brZu3Yqnpydz584lPDycnTt3AlWDDB977DFee+01oGqkfmJiIpMnT7Z6nmXLlvHEE08wadIk3nrrLdavX09CQoLNcgpCYxmGj8QcFIxm2xanL3pZF25gMkvcJ+bOa1CgVk1phZGKSiMaVYP3/AmtZOHChfTq1YtvvvmGqKgoDh06RL9+/Rq9fb1NNG3V3LOm7Oxshg8fjo+PDwqFghEjRrB//37L5zdu3MiQIUOIiIgA4OTJk2zfvp0pU6bw0ksvcevWLQwGA19//bXlwmdsbCz79u1rdiZBaBGFgoqpsaj2f4qs2LmPDI7lFODj6VHn2DPBWvW8eoXFegcnEe5UUlLC8uXLGTZsGGPGjOGvf/0rx44da/T2DXaOrm7uee3aNXQ6neXRXH369OH//u//uHnzJnq9noMHD1JQUGB5MZmZmcyb99M8ZUFBQTz//PPs2rWLkJAQUlJSKCoqwsfHxzKAMSgoiGvXrtXaV3FxMbm5uVaP69evNzu7INRHHxOHTK9HtXePo6PUy2gyc+LcDQb0CEQuF621GhJwx2SygvPw969qm9elSxfOnj2Ln5+f1SW4hjR4zN7S5p41DR06lNjYWGbOnImfnx9Dhw7l+PHjAOzatYuxY8dart8BVgPjZ8+ezbhx41i0aFGtF1nXi/7ggw9IS0uzWjZo0CA2b94s2pDZidtmj/oFdOuGds92mP+c7UI1QmNzH8/Jp0xvZNTgzk7zfXKWHHW6/Ud1pbnunE6dvQGunL1Tp06kpqYyZcoUFi9eTEVFBQaDodHbN1j0WtrcsyadTsf48eMtgw/fe+89OnWquqi+f/9+nn32Wcu6JSUlbN26laeeegqouolGoVAQEBBASUkJJpMJhUJBfn4+wcHBtfY1a9YsYmJirJapVFWDcUUbMttz9+zej8TimfYmN7LPIwW1znCApuQ+9M0llAo5nQI8f36bykrU2z7G86/von8klvK5v7VRWmvO/vNiMpuRy2T8cPVmrZzOnv3ntLQNmaMtW7aMQ4cO0adPH2JiYvjiiy9YtmxZo7dv8PRmXFxcret5v/zlL5sdODc3l+effx6j0UhJSQlbtmxhwoQJSJLEqVOnrOZT8vLy4r333rMcCaanpzNu3Dg8PDyIiIhg7969AOzYsYORI0fW2pdWq6Vjx45Wj7qKoyDYQkVMHDKTCfWu7Q2v3MokSeJYTgG9u/qjVtV9TV5WUoznW38iYEh/tL+dgyInB+/Xl6H475lWTuscFHI5/u1UoiuLk/Hy8rKMIx8yZAiTJ09u1Dx81eo90rNVc8+aevbsyfjx43nkkUcwmUw89dRTDB48mBs3buDh4WE1h5JCoeDNN9/ktddeo6Kigq5du/LGG28AsHTpUhITE9mwYQMhISGsXbu22ZkEwRZMvftg7NUbzfYtVPz6GUfHsXIlv5SCWxVMGtql1ufkP+bh+c4GNB+8j7ykmMoRoyhZl4ax3wAChg3GJ+EFbu3Y67KT5bZE1Vg9cSOLM0lLS+PcuXMsWrSI+Ph4unfvzldffcXy5csbtX29Rc9WzT3rMnfuXObOnWu1LDAwkH//+9+11o2IiKg1jQRAWFhYrVY2guBo+pg4vF9PQX75EuZOnR0dx+Lo2aqbxQbcMWGs4sz3eK7/E5otH4HJhP6RqZTPXYBxwE9/NZcuTqHdi79F/dGH6KfPaPXcjhbgq+FsrnPfketuDh48SHp6OpmZmUycOJHk5GRiY2MbvX29pze1Wi1dunQhIyODzp07Wx5hYWF1TvsgCAJUTH0UAPX2rQ5OYu1YTj7dQ7X4eavw+PIw2l9NI2DE/Wh2bKVi5lMUfnmUknf+ZlXwACpmPInh/gfxee1VZDduOCi94wRqNRSV6DGbJUdHEe7g5eXFkSNHLG0xm3IjS4PX9ARBaDxz124YBkeg2b7F0VEsikr0XMgrYbAxH7+JY/F7JAqPb/5DacIr3PguG13qHzB37Vb3xnI5JavfRFZcjHfK4tYN7gQCtRpMZombOnGK01n4+vqyYsUKTpw4wUMPPcS6desIasKNY6LoCYKN6WMfQ3nqJIoz3zs6ClRUkJ2+C4BRqxOQF+RTkvoHbnyXTVnCK0iBDc+nZ+rVm/I58/HcnI7HkdqXINqyADFA3en8/ve/x9fXl7fffhsvLy8MBgOpqamN3l4UPUGwsYpHYpHkctTbP3ZYBllRIV7rVhM4qA/Hj17grrJC/FalUHjkOyrifwNeTWs2Xfq7RZg6dcYn4QWorLRTaudTPa9eQXHzh2kJthUcHMz8+fMZMGAAAIsWLUKvb/wfJY2aOb0lzT0Fwd1Id92FYdhINNu2UPZycqve9Si/fAnPjW/hmf53ZGWl3Bw3kePhEYwe3JHKsfc0/4m9vdGlrsF3xjS81v+Jshdesl1oJyaO9JxPZmYma9asoaysDACz2YxWq+XLL79s1PYNHuktXLiQ0tJSvv76a9q3b8/p06fp3r17y1ILQhunj41DcfECymO1mzvYg+LkCdo992sC7h+A5/vvop/8CIWHjvDlkj9jkGCgDebOqxwXhX5yNF5r30B+8YINUjs/T7USb41StCJzIm+//TYbNmxg2LBhZGZm8vzzzzNhwoRGb99g0Wtpc09BcEf6SVOQPDxQb7PTDS2ShOzWTfjsM3ynTSXg4eGoPv2E8t/MofDrE5SkbcTUuw/HcvLx1ii5u6NtGkzrVqQiKZS0S3wRJPe4ozFAqxED1J2In58fgwcPplevXhQVFTFv3jy++uqrRm/f4OnNms09+/fv36TmnoLgjiQ/fyofHo96x1ZKX1sBTZmZxGRCXpCPPO8q8qtXkeddRZFX9a/8xzzkV6+gyMtDVlYKgCL4LnTJr1ExKx7J18/yNGazxPFzN+gXHohSYZvL9+bQMMpeScYnORH1ru3ooxs/PspVBWo1FNwS1/SchVKppLi4mK5du5KVlcWwYcMwmUyN376hFVra3FMQ3JU+Ng71vn/gceTfGIbfbpNXUYH8xzwUt4uXPC8PeV5VEZNXF7ZrPyIzGq2eS1IqMYeEYu4QgrFvfyrHRmIOCcWnfy8KI4aDRlNr/2ev3EJXbmBgD9vOnVce/wzqzP/B+9WXqRzzMJK2bU9TFKjVcObyTUfHEG6Li4vjmWeeYcOGDcTExHDgwAG6datnyE0dGix6LW3uKQjuSj9+ApKXN+1+Nx+zTzsUeVeQ1zHA2+ztgzkkBHNIGIZhIzCFhmHuEII5NAxzSAimkDCk9u1BXvtozSeoHdTTPPhYTgEKuYx+3RseltAkSiW61evwi/oF3quWo1u1xrbP72QCfNWU642UVRjx0ojGHI5SWVmJSqVi2rRpTJw4ER8fHz788ENOnjxZZ+/l+jT4HazZ3NPf379JzT0FwW15eVE2bwGqvXswh4ZiHBSBOTQUU0ho1VFbSCjm0FCkdlq77P7o2QJ6dvHHU237X9TG+wZTEf8bNO+/S8W0X2K8b7DN9+EsfppMtgIvjY+D07ivxx9/3NKS0sen6vsQGhpKaGhok56nwXdDS5t7CoI7K3spkbKXElt9v3k3SrlWWMbYwR3tto/SVxaj2rMLn5de4Oan/7TMP9fWBN4xmWzHYFH0HEWy0Y1TDV7dPnjwICtXruTTTz9l4sSJpKenc+rUKZvsXBAE+ziWU9Vg+r67bXs9706S1pfSFal4nDyO5/vv2G0/jiZmUG8+nU7H5MmTyc3NtSwzGAzMmjXL6o7L06dPExsbS2RkJK+++irGGte0AfR6PdnZ2Zw6darOR2M16k+z6uaejz32mCW0IAjO6+jZAjrf5WP5hW0v+kdiqNycjteqFegnR2MODbPr/hzB10eFQi4TRa+Jjh8/TnJyMhcvXrQsO3/+PElJSWRnZ1utm5CQwIoVKxg4cCBJSUlkZmbyxBNPWK1z+fJl5s+fX+cRn0wm48CBA43K1eCRXkubewqC0LqKyyo5l3vL5ndt1kkmoyT1D8hMRnxefdn++3MAuUxGgFYturI0UWZmJkuXLrWauHvLli3Mnj3b0kIM4MqVK1RUVDBw4EAAYmNj2bdvX63n69GjBwcOHODgwYO1Ho0teNCIotfS5p6CILSu42cLkID7bNCFpTHMXbtR+uLLqP+xC9Vnn7TKPltb1WSy4kgPIC8vj9zcXKtHcXFxrfVWrlxJRESE1bJFixYxduxYq2XXr1+3OpAKCgri2rVr9glPI05vVjf3rLZo0SIuX75st0Ctxd/f29ER6hUU1M7REZpNZG99NXOfvnST9r4aBvcNab1GEitegxWv0dQRe67yNQ8NbseJnHyrvK6SvS4tyT5jxgyuXLlitWzevHlWdaIpzGaz1c+pJEl1/tzWLKDN1WDRa2lzT2dVVFSK0Wh2dIxagoLakV/PuCtnJ7K3vpq5Kw0mvjtznWH9Qigo0LVqFo8vD+P3SBRl816gdElKg+u70tfcW6XgRnEFeT/eQqmQu1T2mpqbXamU4+/vTUZGRq0OKFpt84fddOjQgfz8fMvHBQUFVqdEqyUnJzd7H3dqsOhVN/d85513WLBgAQcPHuSGG86gLAiuIPuHIioNZrvetVkfw4MPUf7ETDzfTqMi7nFMvfu0egZ7CfTVIElwU6enva+no+M4VEhIiE2fLywsDLVazbfffsvgwYPZuXNnkwabN1WD1/Ra2txTEITWcyynAI1Kwb2d/B2y/9LFKUhaLe0SXgCz851Jaa6A2/PqicbT9rFmzRpWrVpFVFQUZWVlPPnkk3bbV4NHei1t7ikIQuswSxLHzxbQt3sgHkrHzA8tBQaie20l2t/OQZPxdypmPuWQHLYWKObVa7aDBw/WWrZp0yarj3v27MmWLXaakaSGBt8Z1c09R40axebNm5k2bVqTmnvW5Z133iEyMpIpU6awYcMGoKrzy5gxY4iOjiY6OpqMjAyg/kGLV69eZcaMGURFRTFnzhxKS0tblEkQXN2FvGJulVY65NTmnfSPP0HlQ8PxXr4E2R3XalyZGKDedtRb9CorKwGYNm0a7733Hv7+/nz44Yf8+te/Zt26dc3e4eHDh9m9ezdbt25lx44dHD9+nM8++4ysrCzWrl3Lzp072blzJzNmzACqBi0uWbKETz/9FEmSyMzMBKoaYT/xxBPs27ePvn37sn79+mZnEoS24FhOAXKZHRpMN5VMhu6NdchKS/F57VXHZrERtYcCH08PUfTagHqL3uOPP275/53NPSMjI/H0bP6F3OzsbIYPH46Pjw8KhYIRI0awf/9+srKy2LhxI1OmTCElJQW9Xl/voEWDwcDXX39NZGSk1fKaiouLa40nuX79erOzC4IzO3a2gHs6+eLj6eHoKJjuuZeyeQvQfPw/ePzrc0fHsQkxVq9tqPeanq2ae9bUp08fXn/9dZ599lk8PT05ePAgBoOBXr16kZCQQJcuXUhMTGT9+vWMHj26zkGLRUVF+Pj4oLzd4La+wYwffPABaWlpVssGDRrE5s2bxTg9OxHZW19PTmVlAAAQ00lEQVRQUDt+vFHKlfxSZkf3dZ7XsTIFdm3H75UX4cQJUKtrreI0WRshNNiH3Os6S2ZXyl6TK2dvqXqLXnVzz/qKX58+zbsdeejQocTGxjJz5kz8/PwYOnQox48fZ+PGjZZ14uPjSUpKYuTIkXUOWqxr8GJdgxlnzZpFTEyM1TKVSgWIcXr2ILK3vurcB76uahjRo4OPU70Oj5Wr8ZseS+niZZQlvGL1OVf7mnurFVwvLOP69WKCg7Uulf1OLR2n5+rqLXq2au5Zk06nY/z48Tz99NMAvPfeewQEBLBlyxbi4uKAquKmVCrrHbQYEBBASUkJJpMJhUJBfn5+nYMZtVptiwZNCoKrOJaTT1h7b4L9vRwdxYrhF2OpmBqL1x//gP7RxzB17+HoSM0WqNWgN5gorag9A4DgOuq9pmer5p415ebm8vzzz2M0GikpKWHLli3ExMSwevVqLl++jCRJZGRkMG7cOKtBi4Bl0KKHhwcRERHs3bsXgB07dth1MKMgODNduYH/Xr7FQAfftVmf0uWpSGoNPgm/AztdNmkNd04mK7iuVh/M07NnT8aPH88jjzxCXFwcs2bN4v777yclJYU5c+YQFRWFJEmWI8H6Bi0uXbqUzMxMJk6cyDfffMMLL7zQ2i9FEJzCyfM3MEuS0xY9810dKH11Kap/HUK9NdPRcZot0Pf2sAUxQN2l1Xt601bNPesyd+5c5s6da7UsMjLScjfmneobtBgWFlZrgKMguKOjOQX4eqvoFuK8p/IrZsWj+SgDnyVJVI4dj+TnmI4xLSHG6rUN9R7p2aq5pyAI9mMwmsg6f4MBPdojb60ZFZpDoUC35o/ICm/gvWKZo9M0i9bLA6VCLrqyuDjH9CoSBMEmTp67QUWlyWlPbd7J2G8A5b+Zg+ff30f5tev175XJZARq1RSIIz2XJoqeILiwr7LyUHnI6d3FNU4Xlr2chCk0jHYvvQAGg6PjNFmAViNuZHFxougJgouSJIn/nPqRPl0DUHkoHB2nUSSfduhWvoHy9ClYs8blZmII9BVdWVxdg7MsCD/RG0xs+vQMJWX2+wtVpVJQWemas1iI7K3LaDJTcKuCKcO6OjpKk1ROnIw+cgLqpCTap6Rg6tYdU/cemMJ7YAzvYfm/FBgITnadMlCr4ZauEoPRtX5WAGS3bqI4fRqGD8Gdf/W77ytvBkmS0JUb0JVX2m0fSoMCowu+oUBkd4SBdwcx6J6ghld0JjIZJRveQ73/H5QfPYni/FkUZ06j+uwTZHec8jT7+mEKD8fULRxTeI+fHt3DkXwc00arel69gpsVzvvLU5KQX8lFmXUSZdYJlCdPoDx1EsWlH6o+/+qrsOBlx2Z0IJlkryabTk60IbM9kb31uWpuqCO70Yj88iWU58+iOFf9OFdVFHMvW21ruqvDHUWwqhCawntg6tK1zh6ftnL6YiGr/+cYK+c8RMjtcXsOZTSiyPmvVXFTZp1AXlQEgCSTYeoejrFvf4z9+mPs2w+/qZPIL276H+5tvg2ZIAhCq1IqMXfrTmW37vDweOvPlZejuHAexfnbRfDcWZTnzqL+ZA/yggLLapJcjrlT56pTpd3DMXfrXvVLv1s45k6dwaNlM1AE3C501wvLW7/o6XQos09VFbjqx+lsZPqqIRSSWo2xV2/0k6Mx9ulXVeh694Hbs+RYqNWA/c5WOTtR9ARBcH6enph698HUu3aje9nNoqpieO7sT0Xx7Fk0X32JvFRnWU9SKjF16oy5W3eM3cMx3S6KTSmIAe2qjiLzb5YD9rtjVnbtGspTt4/ebp+mVJw/h+z2iTmzvz/GvgMoj38GY99+GPsNwNTjblCKX+kNEV8hQRBcmuTnj3FQBMZBNbpISRKy/PyqI8QL56oK4u2jxfoKoql7+O0ba+4oiJ27WIqJh1KBr7eK/KKyxoWrqEB+6yaym1UP+a2i2//eXnbrJvKa/xbkWx29mjp3wdi3P/pHp1lOU5pDw5zuJh9XIYqeIAhtk0yGFByMMTgY4wMPWn+uuiCeP4fi4nmrgujx5ZGfLYjtA0Zz7kQ5x7OPICsthbJS5KVlt/8thbIyZGWlVY/Kn7/TW9J4Inl7IXn5IgWHInX1QvLxwRwahqlzV8ydOiF51biOVgKcya/z+RpjhLf9rnm6AlH0BEFwP3cWxAeHWn+uroJ4uyh6fHmEbsM82N93LH8krGp9z9sPWyoFThvh9AUbPzEUlOiZMKSTzZ/XVYiiJwiCcKcGCuK0vB+Zqq/kpkmJ5OMDCtdoDFCtX88OFN7QNbxiGyWKniAIQmPJZChDQwgJaoeXiw4VUcjd+1qgaEMmCIIg2IVOp2Py5Mnk5uYCcPjwYaZMmcL48eNZt26dZb20tDTGjBlDdHQ00dHRZGRk2C2TONITBEEQbO748eMkJydz8eJFACoqKkhKSmLTpk2EhITw7LPP8vnnnzNq1CiysrJYu3Yt9913n91ziSM9QRAEweYyMzNZunQpwcHBAJw4cYIuXbrQqVMnlEolU6ZMYd++fQBkZWWxceNGpkyZQkpKCnq9/eYsFEVPEARBaLS8vDxyc3OtHsXFxbXWW7lyJRERP42dvH79OkFBP/WJDQ4O5tq1a5SWltKrVy8SEhLYvn07xcXFrF+/3m753fb0pjP3kAsKckwzXVsQ2Vufq+YGkd1RWpJ9xowZXLlyxWrZvHnzmD9//s9uZzabkd0xoF6SJGQyGd7e3rz77ruW5fHx8SQlJbFw4cJmZ/w5blv0RMNp2xPZW5+r5gaR3VGam7264XRGRgYmk/WMJFqttsHtO3ToQH7+T4Pq8/PzCQ4O5urVqxw+fJi4uDigqhgq7dhOzW2LnkLhvGd2lUrnzdYQkb31uWpuENkdpTnZq39nhoSENGufAwYM4MKFC/zwww907NiRPXv28Oijj6LRaFi9ejUPPPAAHTt2JCMjg3HjxjVrH43htkVPq7V1CwXbceZTrw0R2Vufq+YGkd1RHJFdrVaTmprK/Pnz0ev1jBo1iqioKGQyGSkpKcyZMweDwcCgQYN4+umn7ZbDbefTEwRBENyP6x6fC4IgCEITiaInCIIguA1R9ARBEAS3IYqeIAiC4DZE0RMEQRDchih6giAIgtsQRU8QBEFwG6LoCYIgCG5DFL1WkJaWxqRJk5g0aRJvvPEGUP9kiqdPnyY2NpbIyEheffVVjEYjUNWh/JlnnmHq1KlMnz7dMimjK2TPzc1lxowZREdHM3PmzFrNap0he7VFixaxbds2y8dXr15lxowZREVFMWfOHEpLS10i97fffktcXBzR0dHMmjXLpb7m1bKzs+nbt6/dM1ezRXZXeJ/Wl91R79NWJwl29e9//1t6/PHHJb1eL1VWVkpPPvmktHv3bmnUqFHSpUuXJIPBIMXHx0uHDh2SJEmSJk2aJB09elSSJEl65ZVXpIyMDEmSJGnWrFnShx9+KEmSJH344YfSggULXCb7Sy+9ZPn/3//+d+nFF190uuw//vij9Oyzz0r9+/eXtm7danmeZ555RtqzZ48kSZKUlpYmvfHGGy6Re8yYMdLp06clSZKkjz/+WHruuefsmtuW2SVJksrKyqTp06dL99xzj91z2zK7K7xP68vuiPepI4gjPTsLCgoiMTERlUqFh4cH4eHhXLx4sc7JFK9cuUJFRQUDBw4EIDY2ln379lFYWMj333/P9OnTAXj00Ud54YUXXCI7VE0potPpACgvL0ej0ThVdoDdu3fz8MMPM2HCBMtzGAwGvv76ayIjI2u9JmfOXVlZyYIFC+jZsycA9957L3l5eXbNbavs1VJTU5k1a5bdM9syuyu8T+vLDo55nzqC2zacbi1333235f8XL17kk08+4Ve/+lWdkynWnGQxKCiIa9eucfnyZUJDQ0lNTeWbb74hKCiIxYsXu0R2gAULFjB9+nQ2bdqEwWDgo48+cqrsALNnzwaqTgtWKyoqwsfHxzLNyZ2vyZlzq1QqoqOjgapfZGlpaYwdO9auuW2VHeDAgQNUVFQQFRVl98zVbJHdFd6n9WUHx7xPHUEc6bWSnJwc4uPjWbRoEZ06dapzMsX6Jlk0Go1kZ2fz4IMPsnXrVh5++GESExNdIjvAyy+/TEpKCv/6179YtmwZ8+bNQ2qlPueNyV6fuj7/c+vbUktyV6usrOSll17CaDTy7LPP2jOulZZkz8/PZ8OGDa1SLOrSkuyu8D79OY58n7YmUfRawbfffstTTz3Fiy++SExMTL2TKdZcXlBQQHBwMEFBQXh7ezNmzBgAJk+ezIkTJ1wie2FhIefPn7ccaURGRpKfn09RUZHTZK9PQEAAJSUllgkzG1rfWXIDlJaWMnv2bIxGIxs2bMDDw8PesYGWZz906BA3b9603FABEB0dbTnt5szZXeF9Wh9Hvk9bmyh6dpaXl8fcuXNZs2YNkyZNAqwnUzSZTOzZs4eRI0cSFhaGWq22nHbYuXMnI0eOpHPnznTo0IHPP/8cgH/+85/06dPHJbL7+/ujVqv55ptvgKo3p7e3NwEBAU6TvT4eHh5ERESwd+9eAHbs2PGz6ztLboCEhAS6dOnCm2++iUqlsmvmarbI/thjj7F//3527tzJzp07gaqfJR8fH6fP7grv0/o46n3qCOKanp395S9/Qa/Xk5qaalk2ffr0OidTBFizZg3JycnodDr69OnDk08+CcCf//xnli5dyurVq/Hx8bF6PmfOLpPJSEtLY/ny5VRUVODt7c2f//xnp8ten6VLl5KYmMiGDRsICQlh7dq1Tp87OzubAwcO0KNHD2JiYoCqazrvvvuu02d3FFtld4X3aV0c9T51BDGJrCAIguA2xOlNQRAEwW2IoicIgiC4DVH0BEEQBLchip4gCILgNkTREwRBENyGKHqC0AoMBgPDhw+3tICq9p///Ifp06cTExPDE0880WqDmQXBXYkhC4LQCvbu3cu2bdvIysoiIyOD8PBwR0cSBLckip4gtIKZM2cyceJEcnJyMBqNpKSk8NVXX7Fu3To6depkWb5s2TIGDx5MSUkJy5Yt4/vvv0cmkzFixAh+97vfoVQq+dOf/sT//u//4uHhgb+/P6tWrWqV9miC0BaI05uCYGdnz57l6NGjREVFMXXqVHbu3GnpaXjixAni4+PZsWMHsbGxlsk+V6xYgZ+fH7t372br1q2cOXOG999/n7y8PD744AO2bt3Ktm3bGDZsmDglKghNIIqeINjZ5s2bGTNmDP7+/vTv35+OHTuSmZkJQGhoKL169QKgd+/e3Lp1C4AvvviCX/3qV8hkMlQqFdOnT+eLL77grrvuomfPnsTExPD73/+eXr16tcq0QYLQVojem4JgR2VlZezcuROVSsUvfvELAHQ6Henp6fTt29dqok6ZTGaZyqXmVE1msxmj0YhcLic9PZ2TJ09y5MgRXn/9dUaMGMGiRYta94UJgosSRU8Q7Gj37t34+fnx6aefolAoACguLmbMmDEUFhbWu93w4cNJT08nKSkJg8FAZmYmDz30EN9//z0vvvgimZmZ9O/fn/bt27Njx47WejmC4PJE0RMEO9q8eTNPP/20peABaLVaZs6cyd/+9rd6t0tOTmbFihVMmTIFg8HAiBEjeO6551CpVEyYMIFHH30ULy8vNBoNycnJrfBKBKFtEHdvCoIgCG5D3MgiCIIguA1R9ARBEAS3IYqeIAiC4DZE0RMEQRDchih6giAIgtsQRU8QBEFwG6LoCYIgCG5DFD1BEATBbfw/RPfx5CluovYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "carga_mundial = pd.DataFrame(index=range(2005,2019),dtype='float64')\n",
    "carga_mundial['mundo'] = 0\n",
    "carga_mundial['arg'] = 0\n",
    "\n",
    "for index,row in carga.iterrows():    \n",
    "    for anio in range(2005,2019):\n",
    "        previous = carga_mundial.at[anio, 'mundo']\n",
    "        if not np.isnan(row[str(anio)]):\n",
    "            carga_mundial.at[anio, 'mundo'] = previous + row[str(anio)]\n",
    "\n",
    "            if row['Country Code'] == 'ARG':\n",
    "                carga_mundial.at[anio, 'arg'] = row[str(anio)]\n",
    "        \n",
    "fig, ax1 = plt.subplots()\n",
    "ax1.set_title('Tasa tributaria total en argentina y el mundo')\n",
    "ax1.plot(carga_mundial.mundo,c='red',label='mundo')\n",
    "ax1.set_ylabel('Tasa tributaria total en el mundo')\n",
    "ax1.set_xlabel('Años')\n",
    "ax2 = ax1.twinx() \n",
    "ax2.plot(carga_mundial.arg, label='arg')\n",
    "ax2.set_ylabel('Tasa tributaria en argentina')\n",
    "fig.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En el mundo, la carga impositiva se viene reduciendo. En Argentina, se mantiene por encima del 100%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Tasa tributaria total (% utilidades)')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots()\n",
    "plt.scatter(recaudacion['2018'], carga['2018'])\n",
    "ax.set_title('Recaudación vs Carga Impositiva 2018')\n",
    "ax.set_xlabel('Recaudacion Impositiva (% PBI)')\n",
    "ax.set_ylabel('Tasa tributaria total (% utilidades)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En 2018, vemos a Argentina como único pais con una tasa tributaria por encima del 100%, recaudando menos del 10% del PBI. Los paises con niveles de impuestos menores al 60% recaudan en su mayoría entre el 10% y el 35% del PBI."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "countries = ['Argentina', 'Brasil', 'Uruguay', 'Chile', 'Paraguay']\n",
    "\n",
    "fig,ax = plt.subplots()\n",
    "ax.set_title('Recaudación impositiva principales paises del Mercosur')\n",
    "ax.set_ylabel('Recaudación impositiva (% PBI)')\n",
    "for country in countries:\n",
    "    ax.bar(country, recaudacion[recaudacion['Country Name'] == country]['2018'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "ax.set_title('Carga impositiva principales paises del Mercosur')\n",
    "ax.set_ylabel('Tasa tributaria total (% de utilidades)')\n",
    "\n",
    "for country in countries:\n",
    "    plt.bar(country, carga[carga['Country Name'] == country]['2018'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Argentina junto con Paraguay son los paises con menor recaudación de impuestos dentro de los principales estados del Mercosur. \n",
    "\n",
    "Por otro lado, Uruguay tiene la mayor recaudación de la región con una de las menores cargas impositivas. \n",
    "\n",
    "Paraguay también tiene una carga impositiva menor al 40% lo cual indicaría que una alta recaudación de impuestos por parte del estado no es únicamente consecuencia de una baja carga impositiva, pero sí una condición necesaria."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fuentes:\n",
    "- https://datos.bancomundial.org/indicator/IC.TAX.TOTL.CP.ZS\n",
    "- https://datos.bancomundial.org/indicador/GC.TAX.TOTL.GD.ZS"
   ]
  }
 ],
 "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}