proyecto_cd.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <img style=\"float: left; padding: 0px 10px 0px 0px;\" src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/8/84/Escudo_de_la_Pontificia_Universidad_Cat%C3%B3lica_de_Chile.svg/1920px-Escudo_de_la_Pontificia_Universidad_Cat%C3%B3lica_de_Chile.svg.png\"  width=\"80\" /> IMT 2200 - Introducción a Ciencia de Datos\n",
    "**Pontificia Universidad Católica de Chile**<br>\n",
    "**Semestre 2022-2**<br>\n",
    "**Profesora:** Paula Aguirre <br>\n",
    "\n",
    "# Explorando Videojuegos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El mundo de los videojuegos es un mundo amplio y extenso, el cual cada vez toma más impulso en el mercado, formando parte de la vida de todos en cierta medida. Es por esto por lo que como grupo nos motiva la idea de realizar un estudio en este nicho en base a los datos que nos proporciona la crítica de videojuegos junto a algunos datos de ventas históricas de los mismos. Con este estudio apuntamos a gente tanto dentro como fuera de la industria, por lo que los resultados podrían entregar datos interesantes en cuanto a la historia de los videojuegos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Durante nuestro análisis tendremos en cuenta las siguientes preguntas de investigación.\n",
    "\n",
    "#### 1.\t¿Cómo han variado las ventas de los videojuegos a lo largo de los años? Y ¿Cómo podríamos clasificarlas de acuerdo a nuestras categorías?\n",
    "#### 2.\t¿Cómo se diferencian los ratings de los críticos con los de los usuarios?, ¿qué información nos brindan si las comparamos con el resto de los datos en nuestro datasets?\n",
    "#### 3.\t¿Es posible generar un modelo de regresión lineal útil para predecir los ratings tanto de usuarios como de la plataforma?\n",
    "#### 4.\t¿Es posible generar un modelo de regresión lineal útil para predecir las ventas de un juego con nuestro dataset?\n",
    "#### 5.\t¿qué conclusiones pudimos sacar después de todo el trabajo con estos datos?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_squared_error, r2_score, explained_variance_score, mean_absolute_error"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Definimos el dataframe a partir del archivo csv que obtuvimos mediante webscrapping:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>Nombre</th>\n",
       "      <th>Rating_Meta</th>\n",
       "      <th>Rating_Usuarios</th>\n",
       "      <th>Plataforma</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Genero</th>\n",
       "      <th>Resumen</th>\n",
       "      <th>N_jugadores</th>\n",
       "      <th>Clasificacion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Legend of Zelda: Ocarina of Time</td>\n",
       "      <td>99</td>\n",
       "      <td>9.1</td>\n",
       "      <td>Nintendo 64</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>Nov 23, 1998</td>\n",
       "      <td>Action Adventure</td>\n",
       "      <td>As a young boy, Link is tricked by Ganondorf, ...</td>\n",
       "      <td>1 Player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Tony Hawk's Pro Skater 2</td>\n",
       "      <td>98</td>\n",
       "      <td>7.4</td>\n",
       "      <td>PlayStation</td>\n",
       "      <td>Activision</td>\n",
       "      <td>Sep 20, 2000</td>\n",
       "      <td>Sports</td>\n",
       "      <td>As most major publishers' development efforts ...</td>\n",
       "      <td>1-2</td>\n",
       "      <td>T</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Grand Theft Auto IV</td>\n",
       "      <td>98</td>\n",
       "      <td>7.8</td>\n",
       "      <td>PlayStation 3</td>\n",
       "      <td>Rockstar Games</td>\n",
       "      <td>Apr 29, 2008</td>\n",
       "      <td>Action Adventure</td>\n",
       "      <td>[Metacritic's 2008 PS3 Game of the Year; Also ...</td>\n",
       "      <td>1 Player</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SoulCalibur</td>\n",
       "      <td>98</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Dreamcast</td>\n",
       "      <td>Namco</td>\n",
       "      <td>Sep  8, 1999</td>\n",
       "      <td>Action</td>\n",
       "      <td>This is a tale of souls and swords, transcendi...</td>\n",
       "      <td>1-2</td>\n",
       "      <td>T</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Grand Theft Auto IV</td>\n",
       "      <td>98</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Xbox 360</td>\n",
       "      <td>Rockstar Games</td>\n",
       "      <td>Apr 29, 2008</td>\n",
       "      <td>Action Adventure</td>\n",
       "      <td>[Metacritic's 2008 Xbox 360 Game of the Year; ...</td>\n",
       "      <td>1 Player</td>\n",
       "      <td>M</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9937</th>\n",
       "      <td>Vroom in the Night Sky</td>\n",
       "      <td>17</td>\n",
       "      <td>3.2</td>\n",
       "      <td>Switch</td>\n",
       "      <td>Poisoft</td>\n",
       "      <td>Apr  5, 2017</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Vroom in the night sky is a magical bike actio...</td>\n",
       "      <td>No Online Multiplayer</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9938</th>\n",
       "      <td>Leisure Suit Larry: Box Office Bust</td>\n",
       "      <td>17</td>\n",
       "      <td>1.9</td>\n",
       "      <td>PlayStation 3</td>\n",
       "      <td>Funsta</td>\n",
       "      <td>May  5, 2009</td>\n",
       "      <td>Action Adventure</td>\n",
       "      <td>The Leisure Suit Larry: Box Office Bust video ...</td>\n",
       "      <td>No Online Multiplayer</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9939</th>\n",
       "      <td>Yaris</td>\n",
       "      <td>17</td>\n",
       "      <td>4.4</td>\n",
       "      <td>Xbox 360</td>\n",
       "      <td>Backbone Entertainment</td>\n",
       "      <td>Oct 10, 2007</td>\n",
       "      <td>Driving</td>\n",
       "      <td>[Xbox Live Arcade]  Hop into a Toyota Yaris an...</td>\n",
       "      <td>2  Online</td>\n",
       "      <td>E10+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9940</th>\n",
       "      <td>Ride to Hell: Retribution</td>\n",
       "      <td>16</td>\n",
       "      <td>1.4</td>\n",
       "      <td>PC</td>\n",
       "      <td>Deep Silver</td>\n",
       "      <td>Jun 24, 2013</td>\n",
       "      <td>Driving</td>\n",
       "      <td>The game is set in the last years of the roari...</td>\n",
       "      <td>2  Online</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9941</th>\n",
       "      <td>Family Party: 30 Great Games Obstacle Arcade</td>\n",
       "      <td>11</td>\n",
       "      <td>2.6</td>\n",
       "      <td>Wii U</td>\n",
       "      <td>D3Publisher</td>\n",
       "      <td>Dec  4, 2012</td>\n",
       "      <td>Miscellaneous</td>\n",
       "      <td>Family Party: 30 Great Games Obstacle Arcade b...</td>\n",
       "      <td>No Online Multiplayer</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9942 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Nombre Rating_Meta  \\\n",
       "0             The Legend of Zelda: Ocarina of Time          99   \n",
       "1                         Tony Hawk's Pro Skater 2          98   \n",
       "2                              Grand Theft Auto IV          98   \n",
       "3                                      SoulCalibur          98   \n",
       "4                              Grand Theft Auto IV          98   \n",
       "...                                            ...         ...   \n",
       "9937                        Vroom in the Night Sky          17   \n",
       "9938           Leisure Suit Larry: Box Office Bust          17   \n",
       "9939                                         Yaris          17   \n",
       "9940                     Ride to Hell: Retribution          16   \n",
       "9941  Family Party: 30 Great Games Obstacle Arcade          11   \n",
       "\n",
       "     Rating_Usuarios     Plataforma               Developer         Fecha  \\\n",
       "0                9.1    Nintendo 64                Nintendo  Nov 23, 1998   \n",
       "1                7.4    PlayStation              Activision  Sep 20, 2000   \n",
       "2                7.8  PlayStation 3          Rockstar Games  Apr 29, 2008   \n",
       "3                8.4      Dreamcast                   Namco  Sep  8, 1999   \n",
       "4                8.0       Xbox 360          Rockstar Games  Apr 29, 2008   \n",
       "...              ...            ...                     ...           ...   \n",
       "9937             3.2         Switch                 Poisoft  Apr  5, 2017   \n",
       "9938             1.9  PlayStation 3                  Funsta  May  5, 2009   \n",
       "9939             4.4       Xbox 360  Backbone Entertainment  Oct 10, 2007   \n",
       "9940             1.4             PC             Deep Silver  Jun 24, 2013   \n",
       "9941             2.6          Wii U             D3Publisher  Dec  4, 2012   \n",
       "\n",
       "                Genero                                            Resumen  \\\n",
       "0     Action Adventure  As a young boy, Link is tricked by Ganondorf, ...   \n",
       "1               Sports  As most major publishers' development efforts ...   \n",
       "2     Action Adventure  [Metacritic's 2008 PS3 Game of the Year; Also ...   \n",
       "3               Action  This is a tale of souls and swords, transcendi...   \n",
       "4     Action Adventure  [Metacritic's 2008 Xbox 360 Game of the Year; ...   \n",
       "...                ...                                                ...   \n",
       "9937            Sports  Vroom in the night sky is a magical bike actio...   \n",
       "9938  Action Adventure  The Leisure Suit Larry: Box Office Bust video ...   \n",
       "9939           Driving  [Xbox Live Arcade]  Hop into a Toyota Yaris an...   \n",
       "9940           Driving  The game is set in the last years of the roari...   \n",
       "9941     Miscellaneous  Family Party: 30 Great Games Obstacle Arcade b...   \n",
       "\n",
       "                N_jugadores Clasificacion  \n",
       "0                  1 Player             E  \n",
       "1                       1-2             T  \n",
       "2                  1 Player             M  \n",
       "3                       1-2             T  \n",
       "4                  1 Player             M  \n",
       "...                     ...           ...  \n",
       "9937  No Online Multiplayer             E  \n",
       "9938  No Online Multiplayer             M  \n",
       "9939              2  Online          E10+  \n",
       "9940              2  Online             M  \n",
       "9941  No Online Multiplayer             E  \n",
       "\n",
       "[9942 rows x 10 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_games = pd.read_csv(\"datos_metacritic.csv\")\n",
    "df_games"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Eliminamos datos inconsistentes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_games = df_games[df_games[\"Fecha\"]!= \"TBA - Early Access\"] #eliminamos valor erroneo de fecha\n",
    "df_games = df_games[df_games[\"Rating_Meta\"]!= 'tbd'] #Valores no utiles en el analisis\n",
    "df_games = df_games[df_games[\"Rating_Usuarios\"]!= 'tbd']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Definimos el segundo dataframe a utilizar (Agrega las unidades vendidas de cada juego):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>Rank</th>\n",
       "      <th>Name</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Year</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Wii Sports</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>41.49</td>\n",
       "      <td>29.02</td>\n",
       "      <td>3.77</td>\n",
       "      <td>8.46</td>\n",
       "      <td>82.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Super Mario Bros.</td>\n",
       "      <td>NES</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>29.08</td>\n",
       "      <td>3.58</td>\n",
       "      <td>6.81</td>\n",
       "      <td>0.77</td>\n",
       "      <td>40.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Mario Kart Wii</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.85</td>\n",
       "      <td>12.88</td>\n",
       "      <td>3.79</td>\n",
       "      <td>3.31</td>\n",
       "      <td>35.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>Wii</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>15.75</td>\n",
       "      <td>11.01</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.96</td>\n",
       "      <td>33.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Pokemon Red/Pokemon Blue</td>\n",
       "      <td>GB</td>\n",
       "      <td>1996.0</td>\n",
       "      <td>Role-Playing</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>11.27</td>\n",
       "      <td>8.89</td>\n",
       "      <td>10.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>31.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16593</th>\n",
       "      <td>16596</td>\n",
       "      <td>Woody Woodpecker in Crazy Castle 5</td>\n",
       "      <td>GBA</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Kemco</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16594</th>\n",
       "      <td>16597</td>\n",
       "      <td>Men in Black II: Alien Escape</td>\n",
       "      <td>GC</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>Shooter</td>\n",
       "      <td>Infogrames</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16595</th>\n",
       "      <td>16598</td>\n",
       "      <td>SCORE International Baja 1000: The Official Game</td>\n",
       "      <td>PS2</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>Racing</td>\n",
       "      <td>Activision</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16596</th>\n",
       "      <td>16599</td>\n",
       "      <td>Know How 2</td>\n",
       "      <td>DS</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>7G//AMES</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16597</th>\n",
       "      <td>16600</td>\n",
       "      <td>Spirits &amp; Spells</td>\n",
       "      <td>GBA</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>Platform</td>\n",
       "      <td>Wanadoo</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>16598 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Rank                                              Name Platform  \\\n",
       "0          1                                        Wii Sports      Wii   \n",
       "1          2                                 Super Mario Bros.      NES   \n",
       "2          3                                    Mario Kart Wii      Wii   \n",
       "3          4                                 Wii Sports Resort      Wii   \n",
       "4          5                          Pokemon Red/Pokemon Blue       GB   \n",
       "...      ...                                               ...      ...   \n",
       "16593  16596                Woody Woodpecker in Crazy Castle 5      GBA   \n",
       "16594  16597                     Men in Black II: Alien Escape       GC   \n",
       "16595  16598  SCORE International Baja 1000: The Official Game      PS2   \n",
       "16596  16599                                        Know How 2       DS   \n",
       "16597  16600                                  Spirits & Spells      GBA   \n",
       "\n",
       "         Year         Genre   Publisher  NA_Sales  EU_Sales  JP_Sales  \\\n",
       "0      2006.0        Sports    Nintendo     41.49     29.02      3.77   \n",
       "1      1985.0      Platform    Nintendo     29.08      3.58      6.81   \n",
       "2      2008.0        Racing    Nintendo     15.85     12.88      3.79   \n",
       "3      2009.0        Sports    Nintendo     15.75     11.01      3.28   \n",
       "4      1996.0  Role-Playing    Nintendo     11.27      8.89     10.22   \n",
       "...       ...           ...         ...       ...       ...       ...   \n",
       "16593  2002.0      Platform       Kemco      0.01      0.00      0.00   \n",
       "16594  2003.0       Shooter  Infogrames      0.01      0.00      0.00   \n",
       "16595  2008.0        Racing  Activision      0.00      0.00      0.00   \n",
       "16596  2010.0        Puzzle    7G//AMES      0.00      0.01      0.00   \n",
       "16597  2003.0      Platform     Wanadoo      0.01      0.00      0.00   \n",
       "\n",
       "       Other_Sales  Global_Sales  \n",
       "0             8.46         82.74  \n",
       "1             0.77         40.24  \n",
       "2             3.31         35.82  \n",
       "3             2.96         33.00  \n",
       "4             1.00         31.37  \n",
       "...            ...           ...  \n",
       "16593         0.00          0.01  \n",
       "16594         0.00          0.01  \n",
       "16595         0.00          0.01  \n",
       "16596         0.00          0.01  \n",
       "16597         0.00          0.01  \n",
       "\n",
       "[16598 rows x 11 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sales = pd.read_csv(\"vgsales.csv\")\n",
    "df_sales"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unimos los dataframes por los nombres de los videojuegos y eliminamos las columnas repetidas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "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>Year</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Rating_Meta</th>\n",
       "      <th>Rating_Usuarios</th>\n",
       "      <th>Plataforma</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Genero</th>\n",
       "      <th>Resumen</th>\n",
       "      <th>N_jugadores</th>\n",
       "      <th>Clasificacion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>15.75</td>\n",
       "      <td>11.01</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.96</td>\n",
       "      <td>33.00</td>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>80</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>Jul 26, 2009</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Wii Sports Resort is a collection of fun sport...</td>\n",
       "      <td>No Online Multiplayer</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1989.0</td>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>Tetris</td>\n",
       "      <td>80</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PlayStation 3</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>Jan  4, 2011</td>\n",
       "      <td>Miscellaneous</td>\n",
       "      <td>The first Tetris game for the PlayStation 3 wi...</td>\n",
       "      <td>4  Online</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1988.0</td>\n",
       "      <td>2.97</td>\n",
       "      <td>0.69</td>\n",
       "      <td>1.81</td>\n",
       "      <td>0.11</td>\n",
       "      <td>5.58</td>\n",
       "      <td>Tetris</td>\n",
       "      <td>80</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PlayStation 3</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>Jan  4, 2011</td>\n",
       "      <td>Miscellaneous</td>\n",
       "      <td>The first Tetris game for the PlayStation 3 wi...</td>\n",
       "      <td>4  Online</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005.0</td>\n",
       "      <td>9.81</td>\n",
       "      <td>7.57</td>\n",
       "      <td>4.13</td>\n",
       "      <td>1.92</td>\n",
       "      <td>23.42</td>\n",
       "      <td>Mario Kart DS</td>\n",
       "      <td>91</td>\n",
       "      <td>8.7</td>\n",
       "      <td>DS</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>Nov 14, 2005</td>\n",
       "      <td>Driving</td>\n",
       "      <td>Race and battle with up to eight karts at once...</td>\n",
       "      <td>No Online Multiplayer</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007.0</td>\n",
       "      <td>8.94</td>\n",
       "      <td>8.03</td>\n",
       "      <td>3.60</td>\n",
       "      <td>2.15</td>\n",
       "      <td>22.72</td>\n",
       "      <td>Wii Fit</td>\n",
       "      <td>80</td>\n",
       "      <td>7.7</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>May 19, 2008</td>\n",
       "      <td>Sports</td>\n",
       "      <td>The active-play phenomenon started by Wii Spor...</td>\n",
       "      <td>1 Player</td>\n",
       "      <td>E</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>8874</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>Spore Galactic Adventures</td>\n",
       "      <td>70</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PC</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>Aug 27, 2008</td>\n",
       "      <td>Strategy</td>\n",
       "      <td>Spore Galactic Adventures adds variety and dep...</td>\n",
       "      <td>No Online Multiplayer</td>\n",
       "      <td>E10+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8875</th>\n",
       "      <td>2002.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>Super Robot Taisen: Original Generation</td>\n",
       "      <td>72</td>\n",
       "      <td>6.7</td>\n",
       "      <td>Game Boy Advance</td>\n",
       "      <td>Atlus Co.</td>\n",
       "      <td>Aug  8, 2006</td>\n",
       "      <td>Strategy</td>\n",
       "      <td>Super Robot Taisen: Original Generation is a s...</td>\n",
       "      <td>1 Player</td>\n",
       "      <td>T</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8876</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>Teslagrad</td>\n",
       "      <td>81</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Switch</td>\n",
       "      <td>Soedesco</td>\n",
       "      <td>Dec  7, 2017</td>\n",
       "      <td>Action</td>\n",
       "      <td>Teslagrad is a 2D puzzle-platformer, where you...</td>\n",
       "      <td>No Online Multiplayer</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8877</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>Teslagrad</td>\n",
       "      <td>77</td>\n",
       "      <td>7.8</td>\n",
       "      <td>PC</td>\n",
       "      <td>Rain Games</td>\n",
       "      <td>Dec 13, 2013</td>\n",
       "      <td>Action</td>\n",
       "      <td>Teslagrad is a 2D puzzle-platformer, where you...</td>\n",
       "      <td>No Online Multiplayer</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8878</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>Breach</td>\n",
       "      <td>57</td>\n",
       "      <td>4.4</td>\n",
       "      <td>Xbox 360</td>\n",
       "      <td>Destineer</td>\n",
       "      <td>Jan 26, 2011</td>\n",
       "      <td>Action</td>\n",
       "      <td>Breach is a multiplayer first-person shooter b...</td>\n",
       "      <td>1 Player</td>\n",
       "      <td>T</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8879 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Year  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "0     2009.0     15.75     11.01      3.28         2.96         33.00   \n",
       "1     1989.0     23.20      2.26      4.22         0.58         30.26   \n",
       "2     1988.0      2.97      0.69      1.81         0.11          5.58   \n",
       "3     2005.0      9.81      7.57      4.13         1.92         23.42   \n",
       "4     2007.0      8.94      8.03      3.60         2.15         22.72   \n",
       "...      ...       ...       ...       ...          ...           ...   \n",
       "8874  2009.0      0.00      0.01      0.00         0.00          0.01   \n",
       "8875  2002.0      0.01      0.00      0.00         0.00          0.01   \n",
       "8876  2015.0      0.00      0.01      0.00         0.00          0.01   \n",
       "8877  2015.0      0.00      0.01      0.00         0.00          0.01   \n",
       "8878  2011.0      0.01      0.00      0.00         0.00          0.01   \n",
       "\n",
       "                                       Nombre Rating_Meta Rating_Usuarios  \\\n",
       "0                           Wii Sports Resort          80             8.3   \n",
       "1                                      Tetris          80             7.3   \n",
       "2                                      Tetris          80             7.3   \n",
       "3                               Mario Kart DS          91             8.7   \n",
       "4                                     Wii Fit          80             7.7   \n",
       "...                                       ...         ...             ...   \n",
       "8874                Spore Galactic Adventures          70             7.3   \n",
       "8875  Super Robot Taisen: Original Generation          72             6.7   \n",
       "8876                                Teslagrad          81             8.0   \n",
       "8877                                Teslagrad          77             7.8   \n",
       "8878                                   Breach          57             4.4   \n",
       "\n",
       "            Plataforma        Developer         Fecha         Genero  \\\n",
       "0                  Wii         Nintendo  Jul 26, 2009         Sports   \n",
       "1        PlayStation 3  Electronic Arts  Jan  4, 2011  Miscellaneous   \n",
       "2        PlayStation 3  Electronic Arts  Jan  4, 2011  Miscellaneous   \n",
       "3                   DS         Nintendo  Nov 14, 2005        Driving   \n",
       "4                  Wii         Nintendo  May 19, 2008         Sports   \n",
       "...                ...              ...           ...            ...   \n",
       "8874                PC  Electronic Arts  Aug 27, 2008       Strategy   \n",
       "8875  Game Boy Advance        Atlus Co.  Aug  8, 2006       Strategy   \n",
       "8876            Switch         Soedesco  Dec  7, 2017         Action   \n",
       "8877                PC       Rain Games  Dec 13, 2013         Action   \n",
       "8878          Xbox 360        Destineer  Jan 26, 2011         Action   \n",
       "\n",
       "                                                Resumen  \\\n",
       "0     Wii Sports Resort is a collection of fun sport...   \n",
       "1     The first Tetris game for the PlayStation 3 wi...   \n",
       "2     The first Tetris game for the PlayStation 3 wi...   \n",
       "3     Race and battle with up to eight karts at once...   \n",
       "4     The active-play phenomenon started by Wii Spor...   \n",
       "...                                                 ...   \n",
       "8874  Spore Galactic Adventures adds variety and dep...   \n",
       "8875  Super Robot Taisen: Original Generation is a s...   \n",
       "8876  Teslagrad is a 2D puzzle-platformer, where you...   \n",
       "8877  Teslagrad is a 2D puzzle-platformer, where you...   \n",
       "8878  Breach is a multiplayer first-person shooter b...   \n",
       "\n",
       "                N_jugadores Clasificacion  \n",
       "0     No Online Multiplayer             E  \n",
       "1                 4  Online             E  \n",
       "2                 4  Online             E  \n",
       "3     No Online Multiplayer             E  \n",
       "4                  1 Player             E  \n",
       "...                     ...           ...  \n",
       "8874  No Online Multiplayer          E10+  \n",
       "8875               1 Player             T  \n",
       "8876  No Online Multiplayer             E  \n",
       "8877  No Online Multiplayer             E  \n",
       "8878               1 Player             T  \n",
       "\n",
       "[8879 rows x 16 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rank_sales = df_sales.merge(df_games, left_on=\"Name\", right_on=\"Nombre\", how=\"inner\")\n",
    "df_rank_sales.drop(columns=[\"Rank\", \"Name\", \"Platform\", \"Genre\", \"Publisher\"], inplace=True)\n",
    "df_rank_sales"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Verficamos duplicados y nulos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hay 21 duplicados \n",
      " \n",
      "nulos:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Year               194\n",
       "NA_Sales             0\n",
       "EU_Sales             0\n",
       "JP_Sales             0\n",
       "Other_Sales          0\n",
       "Global_Sales         0\n",
       "Nombre               0\n",
       "Rating_Meta          0\n",
       "Rating_Usuarios      0\n",
       "Plataforma           0\n",
       "Developer            0\n",
       "Fecha                0\n",
       "Genero               0\n",
       "Resumen              0\n",
       "N_jugadores          9\n",
       "Clasificacion        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dup = df_rank_sales.duplicated().sum()\n",
    "print(f\"Hay {dup} duplicados \\n \\nnulos:\")\n",
    "df_rank_sales.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Eliminamos duplicados y nulos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_rank_sales.drop_duplicates(inplace=True)\n",
    "df_rank_sales.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hay 0 duplicados \n",
      " \n",
      "nulos:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Year               0\n",
       "NA_Sales           0\n",
       "EU_Sales           0\n",
       "JP_Sales           0\n",
       "Other_Sales        0\n",
       "Global_Sales       0\n",
       "Nombre             0\n",
       "Rating_Meta        0\n",
       "Rating_Usuarios    0\n",
       "Plataforma         0\n",
       "Developer          0\n",
       "Fecha              0\n",
       "Genero             0\n",
       "Resumen            0\n",
       "N_jugadores        0\n",
       "Clasificacion      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dup = df_rank_sales.duplicated().sum()\n",
    "print(f\"Hay {dup} duplicados \\n \\nnulos:\")\n",
    "df_rank_sales.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vemos los tipos de datos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 8656 entries, 0 to 8878\n",
      "Data columns (total 16 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   Year             8656 non-null   float64\n",
      " 1   NA_Sales         8656 non-null   float64\n",
      " 2   EU_Sales         8656 non-null   float64\n",
      " 3   JP_Sales         8656 non-null   float64\n",
      " 4   Other_Sales      8656 non-null   float64\n",
      " 5   Global_Sales     8656 non-null   float64\n",
      " 6   Nombre           8656 non-null   object \n",
      " 7   Rating_Meta      8656 non-null   object \n",
      " 8   Rating_Usuarios  8656 non-null   object \n",
      " 9   Plataforma       8656 non-null   object \n",
      " 10  Developer        8656 non-null   object \n",
      " 11  Fecha            8656 non-null   object \n",
      " 12  Genero           8656 non-null   object \n",
      " 13  Resumen          8656 non-null   object \n",
      " 14  N_jugadores      8656 non-null   object \n",
      " 15  Clasificacion    8656 non-null   object \n",
      "dtypes: float64(6), object(10)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df_rank_sales.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cambiamos los tipos de datos para su correcto analisis y manipulación"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "categorias = [\"float\", \"float\", \"category\", \"category\", \"category\", \"category\", \"int\"]\n",
    "columnas = [\"Rating_Meta\", \"Rating_Usuarios\", \"Plataforma\",\n",
    "             \"Genero\", \"N_jugadores\", \"Clasificacion\", \"Year\"]\n",
    "\n",
    "df_rank_sales[\"Fecha\"] = pd.to_datetime(df_rank_sales[\"Fecha\"])\n",
    "\n",
    "n = 0\n",
    "for col in columnas:\n",
    "    try:\n",
    "        df_rank_sales[col] = df_rank_sales[col].astype(categorias[n])\n",
    "        n+=1\n",
    "    except:\n",
    "        print(col)\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 8656 entries, 0 to 8878\n",
      "Data columns (total 16 columns):\n",
      " #   Column           Non-Null Count  Dtype         \n",
      "---  ------           --------------  -----         \n",
      " 0   Year             8656 non-null   int32         \n",
      " 1   NA_Sales         8656 non-null   float64       \n",
      " 2   EU_Sales         8656 non-null   float64       \n",
      " 3   JP_Sales         8656 non-null   float64       \n",
      " 4   Other_Sales      8656 non-null   float64       \n",
      " 5   Global_Sales     8656 non-null   float64       \n",
      " 6   Nombre           8656 non-null   object        \n",
      " 7   Rating_Meta      8656 non-null   float64       \n",
      " 8   Rating_Usuarios  8656 non-null   float64       \n",
      " 9   Plataforma       8656 non-null   category      \n",
      " 10  Developer        8656 non-null   object        \n",
      " 11  Fecha            8656 non-null   datetime64[ns]\n",
      " 12  Genero           8656 non-null   category      \n",
      " 13  Resumen          8656 non-null   object        \n",
      " 14  N_jugadores      8656 non-null   category      \n",
      " 15  Clasificacion    8656 non-null   category      \n",
      "dtypes: category(4), datetime64[ns](1), float64(7), int32(1), object(3)\n",
      "memory usage: 882.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df_rank_sales.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "dataframe filtrado y con tipos de datos adecuados:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>Year</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Rating_Meta</th>\n",
       "      <th>Rating_Usuarios</th>\n",
       "      <th>Plataforma</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Genero</th>\n",
       "      <th>Resumen</th>\n",
       "      <th>N_jugadores</th>\n",
       "      <th>Clasificacion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>15.75</td>\n",
       "      <td>11.01</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.96</td>\n",
       "      <td>33.00</td>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>80.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>2009-07-26</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Wii Sports Resort is a collection of fun sport...</td>\n",
       "      <td>No Online Multiplayer</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1989</td>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>Tetris</td>\n",
       "      <td>80.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PlayStation 3</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>Miscellaneous</td>\n",
       "      <td>The first Tetris game for the PlayStation 3 wi...</td>\n",
       "      <td>4  Online</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1988</td>\n",
       "      <td>2.97</td>\n",
       "      <td>0.69</td>\n",
       "      <td>1.81</td>\n",
       "      <td>0.11</td>\n",
       "      <td>5.58</td>\n",
       "      <td>Tetris</td>\n",
       "      <td>80.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PlayStation 3</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>Miscellaneous</td>\n",
       "      <td>The first Tetris game for the PlayStation 3 wi...</td>\n",
       "      <td>4  Online</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005</td>\n",
       "      <td>9.81</td>\n",
       "      <td>7.57</td>\n",
       "      <td>4.13</td>\n",
       "      <td>1.92</td>\n",
       "      <td>23.42</td>\n",
       "      <td>Mario Kart DS</td>\n",
       "      <td>91.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>DS</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>2005-11-14</td>\n",
       "      <td>Driving</td>\n",
       "      <td>Race and battle with up to eight karts at once...</td>\n",
       "      <td>No Online Multiplayer</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007</td>\n",
       "      <td>8.94</td>\n",
       "      <td>8.03</td>\n",
       "      <td>3.60</td>\n",
       "      <td>2.15</td>\n",
       "      <td>22.72</td>\n",
       "      <td>Wii Fit</td>\n",
       "      <td>80.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>2008-05-19</td>\n",
       "      <td>Sports</td>\n",
       "      <td>The active-play phenomenon started by Wii Spor...</td>\n",
       "      <td>1 Player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "0  2009     15.75     11.01      3.28         2.96         33.00   \n",
       "1  1989     23.20      2.26      4.22         0.58         30.26   \n",
       "2  1988      2.97      0.69      1.81         0.11          5.58   \n",
       "3  2005      9.81      7.57      4.13         1.92         23.42   \n",
       "4  2007      8.94      8.03      3.60         2.15         22.72   \n",
       "\n",
       "              Nombre  Rating_Meta  Rating_Usuarios     Plataforma  \\\n",
       "0  Wii Sports Resort         80.0              8.3            Wii   \n",
       "1             Tetris         80.0              7.3  PlayStation 3   \n",
       "2             Tetris         80.0              7.3  PlayStation 3   \n",
       "3      Mario Kart DS         91.0              8.7             DS   \n",
       "4            Wii Fit         80.0              7.7            Wii   \n",
       "\n",
       "         Developer      Fecha         Genero  \\\n",
       "0         Nintendo 2009-07-26         Sports   \n",
       "1  Electronic Arts 2011-01-04  Miscellaneous   \n",
       "2  Electronic Arts 2011-01-04  Miscellaneous   \n",
       "3         Nintendo 2005-11-14        Driving   \n",
       "4         Nintendo 2008-05-19         Sports   \n",
       "\n",
       "                                             Resumen            N_jugadores  \\\n",
       "0  Wii Sports Resort is a collection of fun sport...  No Online Multiplayer   \n",
       "1  The first Tetris game for the PlayStation 3 wi...              4  Online   \n",
       "2  The first Tetris game for the PlayStation 3 wi...              4  Online   \n",
       "3  Race and battle with up to eight karts at once...  No Online Multiplayer   \n",
       "4  The active-play phenomenon started by Wii Spor...               1 Player   \n",
       "\n",
       "  Clasificacion  \n",
       "0             E  \n",
       "1             E  \n",
       "2             E  \n",
       "3             E  \n",
       "4             E  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rank_sales.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Agrupamos generos similires:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_rank_sales[\"Genero\"].replace({\"Action Adventure\", \"Action RPG\", \"Shooter\", \n",
    "                  \"Beat-'Em-Up\", \"Military\", \"GT / Street\", \"Fighting\", \"Racing\"},\"Action\" ,inplace=True)\n",
    "\n",
    "df_rank_sales[\"Genero\"].replace({\"Driving\", \"Flight\", \"Role-Playing\", \"Sim\", \"First-Person\", \"City Building\", \"Tycoon\",\n",
    "                  \"Breeding/Constructing\", \"Virtual Life\", \"Sport\", \"Sports\"},\"Simulation\" ,inplace=True)\n",
    "\n",
    "df_rank_sales[\"Genero\"].replace({\"Miscellaneous\", \"Modern\", \"General\", \"Sci-Fi\", \"Japanese-Style\", \"Traditional\", \"2D\", \"Arcade\",\n",
    "                 \"Third-Person\", \"Scrolling\", \"Alternative\", \"Music\", \"Massively Multiplayer Online\",\"3D\",\n",
    "                  \"Massively Multiplayer\"},\"Other\" ,inplace=True)\n",
    "\n",
    "df_rank_sales[\"Genero\"].replace({\"Open-World\", \"Fantasy\", \"Platformer\", \"Street\", \"Survival\"},\"Adventure\" ,inplace=True)\n",
    "df_rank_sales[\"Genero\"].replace({\"Puzzle\", \"Horror\", \"PC-style RPG\", \"Turn-Based\", \"Card Battle\", \"Real-Time\", \"Historic\"},\"Strategy\" ,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Agrupamos N_jugadores en grupos de 1 jugador y multijugador."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_jugadores = df_rank_sales[\"N_jugadores\"].unique()\n",
    "for x in n_jugadores:\n",
    "    if x == \"1 Player\" == x :\n",
    "        df_rank_sales[\"N_jugadores\"].replace({x},\"single_player\" ,inplace=True)\n",
    "    else:\n",
    "        df_rank_sales[\"N_jugadores\"].replace({x},\"multi_player\" ,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A efectos de igualar la escala de rating entre \"Rating_Meta y \"Rating_usuarios\" dividiremos \"Rating_Meta\" por 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "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>Year</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Rating_Meta</th>\n",
       "      <th>Rating_Usuarios</th>\n",
       "      <th>Plataforma</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Genero</th>\n",
       "      <th>Resumen</th>\n",
       "      <th>N_jugadores</th>\n",
       "      <th>Clasificacion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>15.75</td>\n",
       "      <td>11.01</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.96</td>\n",
       "      <td>33.00</td>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>2009-07-26</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>Wii Sports Resort is a collection of fun sport...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1989</td>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>Tetris</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PlayStation 3</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>Other</td>\n",
       "      <td>The first Tetris game for the PlayStation 3 wi...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1988</td>\n",
       "      <td>2.97</td>\n",
       "      <td>0.69</td>\n",
       "      <td>1.81</td>\n",
       "      <td>0.11</td>\n",
       "      <td>5.58</td>\n",
       "      <td>Tetris</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PlayStation 3</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>Other</td>\n",
       "      <td>The first Tetris game for the PlayStation 3 wi...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005</td>\n",
       "      <td>9.81</td>\n",
       "      <td>7.57</td>\n",
       "      <td>4.13</td>\n",
       "      <td>1.92</td>\n",
       "      <td>23.42</td>\n",
       "      <td>Mario Kart DS</td>\n",
       "      <td>9.1</td>\n",
       "      <td>8.7</td>\n",
       "      <td>DS</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>2005-11-14</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>Race and battle with up to eight karts at once...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007</td>\n",
       "      <td>8.94</td>\n",
       "      <td>8.03</td>\n",
       "      <td>3.60</td>\n",
       "      <td>2.15</td>\n",
       "      <td>22.72</td>\n",
       "      <td>Wii Fit</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>2008-05-19</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>The active-play phenomenon started by Wii Spor...</td>\n",
       "      <td>single_player</td>\n",
       "      <td>E</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>8874</th>\n",
       "      <td>2009</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>Spore Galactic Adventures</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PC</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>2008-08-27</td>\n",
       "      <td>Strategy</td>\n",
       "      <td>Spore Galactic Adventures adds variety and dep...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E10+</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8875</th>\n",
       "      <td>2002</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>Super Robot Taisen: Original Generation</td>\n",
       "      <td>7.2</td>\n",
       "      <td>6.7</td>\n",
       "      <td>Game Boy Advance</td>\n",
       "      <td>Atlus Co.</td>\n",
       "      <td>2006-08-08</td>\n",
       "      <td>Strategy</td>\n",
       "      <td>Super Robot Taisen: Original Generation is a s...</td>\n",
       "      <td>single_player</td>\n",
       "      <td>T</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8876</th>\n",
       "      <td>2015</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>Teslagrad</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Switch</td>\n",
       "      <td>Soedesco</td>\n",
       "      <td>2017-12-07</td>\n",
       "      <td>Action</td>\n",
       "      <td>Teslagrad is a 2D puzzle-platformer, where you...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8877</th>\n",
       "      <td>2015</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>Teslagrad</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.8</td>\n",
       "      <td>PC</td>\n",
       "      <td>Rain Games</td>\n",
       "      <td>2013-12-13</td>\n",
       "      <td>Action</td>\n",
       "      <td>Teslagrad is a 2D puzzle-platformer, where you...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8878</th>\n",
       "      <td>2011</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>Breach</td>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>Xbox 360</td>\n",
       "      <td>Destineer</td>\n",
       "      <td>2011-01-26</td>\n",
       "      <td>Action</td>\n",
       "      <td>Breach is a multiplayer first-person shooter b...</td>\n",
       "      <td>single_player</td>\n",
       "      <td>T</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8656 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Year  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "0     2009     15.75     11.01      3.28         2.96         33.00   \n",
       "1     1989     23.20      2.26      4.22         0.58         30.26   \n",
       "2     1988      2.97      0.69      1.81         0.11          5.58   \n",
       "3     2005      9.81      7.57      4.13         1.92         23.42   \n",
       "4     2007      8.94      8.03      3.60         2.15         22.72   \n",
       "...    ...       ...       ...       ...          ...           ...   \n",
       "8874  2009      0.00      0.01      0.00         0.00          0.01   \n",
       "8875  2002      0.01      0.00      0.00         0.00          0.01   \n",
       "8876  2015      0.00      0.01      0.00         0.00          0.01   \n",
       "8877  2015      0.00      0.01      0.00         0.00          0.01   \n",
       "8878  2011      0.01      0.00      0.00         0.00          0.01   \n",
       "\n",
       "                                       Nombre  Rating_Meta  Rating_Usuarios  \\\n",
       "0                           Wii Sports Resort          8.0              8.3   \n",
       "1                                      Tetris          8.0              7.3   \n",
       "2                                      Tetris          8.0              7.3   \n",
       "3                               Mario Kart DS          9.1              8.7   \n",
       "4                                     Wii Fit          8.0              7.7   \n",
       "...                                       ...          ...              ...   \n",
       "8874                Spore Galactic Adventures          7.0              7.3   \n",
       "8875  Super Robot Taisen: Original Generation          7.2              6.7   \n",
       "8876                                Teslagrad          8.1              8.0   \n",
       "8877                                Teslagrad          7.7              7.8   \n",
       "8878                                   Breach          5.7              4.4   \n",
       "\n",
       "            Plataforma        Developer      Fecha      Genero  \\\n",
       "0                  Wii         Nintendo 2009-07-26  Simulation   \n",
       "1        PlayStation 3  Electronic Arts 2011-01-04       Other   \n",
       "2        PlayStation 3  Electronic Arts 2011-01-04       Other   \n",
       "3                   DS         Nintendo 2005-11-14  Simulation   \n",
       "4                  Wii         Nintendo 2008-05-19  Simulation   \n",
       "...                ...              ...        ...         ...   \n",
       "8874                PC  Electronic Arts 2008-08-27    Strategy   \n",
       "8875  Game Boy Advance        Atlus Co. 2006-08-08    Strategy   \n",
       "8876            Switch         Soedesco 2017-12-07      Action   \n",
       "8877                PC       Rain Games 2013-12-13      Action   \n",
       "8878          Xbox 360        Destineer 2011-01-26      Action   \n",
       "\n",
       "                                                Resumen    N_jugadores  \\\n",
       "0     Wii Sports Resort is a collection of fun sport...   multi_player   \n",
       "1     The first Tetris game for the PlayStation 3 wi...   multi_player   \n",
       "2     The first Tetris game for the PlayStation 3 wi...   multi_player   \n",
       "3     Race and battle with up to eight karts at once...   multi_player   \n",
       "4     The active-play phenomenon started by Wii Spor...  single_player   \n",
       "...                                                 ...            ...   \n",
       "8874  Spore Galactic Adventures adds variety and dep...   multi_player   \n",
       "8875  Super Robot Taisen: Original Generation is a s...  single_player   \n",
       "8876  Teslagrad is a 2D puzzle-platformer, where you...   multi_player   \n",
       "8877  Teslagrad is a 2D puzzle-platformer, where you...   multi_player   \n",
       "8878  Breach is a multiplayer first-person shooter b...  single_player   \n",
       "\n",
       "     Clasificacion  \n",
       "0                E  \n",
       "1                E  \n",
       "2                E  \n",
       "3                E  \n",
       "4                E  \n",
       "...            ...  \n",
       "8874          E10+  \n",
       "8875             T  \n",
       "8876             E  \n",
       "8877             E  \n",
       "8878             T  \n",
       "\n",
       "[8656 rows x 16 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rank_sales[\"Rating_Meta\"] = df_rank_sales[\"Rating_Meta\"] / 10\n",
    "df_rank_sales"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. ¿Cómo han variado las ventas de los videojuegos a lo largo de los años ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "paises especificos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Cantidad de juegos vendidos por año (1980 - 2016) (Especifico)'}, xlabel='Año', ylabel='Unidades vendidas (millones)'>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_na = df_rank_sales.groupby(by=\"Year\").agg({\"NA_Sales\":\"sum\"})\n",
    "df_eu = df_rank_sales.groupby(by=\"Year\").agg({\"EU_Sales\":\"sum\"})\n",
    "df_jp = df_rank_sales.groupby(by=\"Year\").agg({\"JP_Sales\":\"sum\"})\n",
    "\n",
    "\n",
    "df_sales_years = df_rank_sales.groupby(by=\"Year\").agg({\"Global_Sales\": \"sum\"})\n",
    "fig, ax = plt.subplots(figsize=(20,12))\n",
    "df_na.plot(ax = ax, xlabel=\"Año\", ylabel = \"Unidades vendidas (millones)\", color=\"green\")\n",
    "df_eu.plot(ax = ax, xlabel=\"Año\", ylabel = \"Unidades vendidas (millones)\", color=\"red\")\n",
    "df_jp.plot(ax = ax, xlabel=\"Año\", ylabel = \"Unidades vendidas (millones)\", title= \"Cantidad de juegos vendidos por año (1980 - 2016) (Especifico)\", color=\"blue\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se oberva como las ventas en Norteamérica son las más altas a nivel global a lo largo de los años, dejando en segundo lugar de ventas a europa y luego a japón, así también se oberva que el pico de ventas se da entre el 2005 y 2010, siendo a partir del año 2000 que comienza un auge de ventas en los mismos.\n",
    "\n",
    "Creemos que los datos no son del todo representativos con la realidad, puesto que es bien sabido el impacto y relevancia que ha tenido el contenido digital con respecto a videojuegos en las últimas décadas, por lo que nos parece extraña la caída en cuanto a las ventas que se muestra a partir del 2010 aprox."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Global:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Cantidad de juegos vendidos por año (1980 - 2016)'}, xlabel='Año', ylabel='Unidades vendidas (millones)'>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_sales_years = df_rank_sales.groupby(by=\"Year\").agg({\"Global_Sales\": \"sum\"})\n",
    "fig, ax = plt.subplots(figsize=(20,12))\n",
    "df_sales_years.plot(ax = ax, xlabel=\"Año\", ylabel = \"Unidades vendidas (millones)\", title= \"Cantidad de juegos vendidos por año (1980 - 2016)\", color=\"green\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dado que las ventas en NorteAmérica representan el grueso de las ventas generales tenemos que nuestro gráfico para las ventas globales es bastante similar, teniendo su pick de ventas cercano al año 2010."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ventas por genero y plataforma de videojuego"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sales_genero = df_rank_sales.groupby(by=\"Genero\", as_index=False).agg({\"Global_Sales\":\"sum\"})\n",
    "sales_plataforma = df_rank_sales.groupby(by=\"Plataforma\", as_index=False).agg({\"Global_Sales\":\"sum\"})\n",
    "\n",
    "fig, (ax, ax2) = plt.subplots(1,2, figsize=(25,12))\n",
    "sns.barplot(x=\"Global_Sales\", y=\"Genero\", data=sales_genero, ax=ax)\n",
    "sns.barplot(x=\"Global_Sales\", y=\"Plataforma\", data=sales_plataforma, ax=ax2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A partir de los siguientes gráficos podemos observar como los videojuegos más comprados corresponden a los géneros de acción y los de simulación, y las plataformas con más ventas registradas a nivel global son la Xbox360 de mícrosoft y la PlayStation 3 de sony. Esto último se debe a la fecha a la que pertenecen los datos realizados, puesto que las consolas de nueva generación para esa entonces no llevaban muchos años en el mercado y las de la generación anterior ya estaban finalizando su etapa en el mercado. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ventas por numero de jugadores y clasificacion de videojuego"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sales_jugadores = df_rank_sales.groupby(by=\"N_jugadores\", as_index=False).agg({\"Global_Sales\":\"sum\"})\n",
    "sales_clasificacion = df_rank_sales.groupby(by=\"Clasificacion\", as_index=False).agg({\"Global_Sales\":\"sum\"})\n",
    "\n",
    "fig, (ax, ax2) = plt.subplots(1,2, figsize=(25,10))\n",
    "sns.barplot(x=\"Global_Sales\", y=\"N_jugadores\", data=sales_jugadores, ax=ax)\n",
    "sns.barplot(x=\"Global_Sales\", y=\"Clasificacion\", data=sales_clasificacion, ax=ax2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vemos que los juegos más vendidos son los multijugador, a su vez las clasificaciones con más ventas globales registradas son la Clasificación E(mayores de 6 años) y la M(mayores de 17 años)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Videojuegos que más juegos han vendido"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Global_Sales', ylabel='Nombre'>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_best_g = df_rank_sales[df_rank_sales[\"Global_Sales\"]>15]\n",
    "df_best_g2 = df_best_g.groupby(by=\"Nombre\", as_index=False).agg({\"Global_Sales\": \"sum\"})\n",
    "fig = plt.subplots(figsize=(25,10))\n",
    "sns.barplot(x=\"Global_Sales\", y=\"Nombre\", data=df_best_g2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Graficamos las ventas de los videojuegos más vendidos, donde el más vendido es con una clara diferencia el GTA V.\n",
    "\n",
    "Nos parece que estos datos se encuentran erróneos o a lo menos desactualizados, puesto que juegos como el tetris deberían registrar un número de ventas mucho más alto."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Desarrolladoras de videojuegos que más han vendido"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Global_Sales', ylabel='Developer'>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_best_d = df_rank_sales.groupby(by=\"Developer\", as_index=False).agg({\"Global_Sales\": \"sum\"})\n",
    "df_best_d = df_best_d[df_best_d[\"Global_Sales\"]> 160]\n",
    "df_best_d\n",
    "fig = plt.subplots(figsize=(25,10))\n",
    "sns.barplot(x=\"Global_Sales\", y=\"Developer\", data=df_best_d)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tenemos que las desarrolladoras con más registros de ventas son EA y Activision, lo cual se explica con que estas son autoras de títulos reconocidos a nivel mundial, tales como la franquicia de Call of Duty de la mano de activision, o los famosos FIFA por parte de EA."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. ¿Como se diferencian los ratings de los criticos con los del público?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribuvion de rating (Usuarios)')"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2160x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax, ax2) = plt.subplots(1,2, figsize=(30,12))\n",
    "\n",
    "sns.boxplot(data=df_rank_sales,y='Rating_Usuarios', width=0.6, ax=ax).set_title(\"Distribuvion de rating (Criticos)\")\n",
    "sns.boxplot(data=df_rank_sales,y='Rating_Meta', width=0.6, ax=ax2).set_title(\"Distribuvion de rating (Usuarios)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "podemos notar que los ratings para ambos grupos son prácticamente idénticos, donde podemos ver que la mayor diferencia entre estos está en sus outliers, ya que podemos apreciar que los usuarios suelen ser más tajantes en su opinión otorgando valores cercanos a 4 y a 2, mientras que los de la crítica suelen variar un poco más, abarcando todo el espectro de notas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ratings promedio por genero de videojuego"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rank_genero = df_rank_sales.groupby(by=\"Genero\", as_index=False).agg({\"Rating_Meta\":\"mean\", \"Rating_Usuarios\": \"mean\"})\n",
    "fig, (ax, ax2) = plt.subplots(1,2, figsize=(20,9))\n",
    "sns.barplot(x=\"Rating_Meta\", y=\"Genero\", data=rank_genero, ax=ax)\n",
    "sns.barplot(x=\"Rating_Usuarios\", y=\"Genero\", data=rank_genero, ax=ax2)\n",
    "rank_genero.head()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Según observamos no hay mayor diferencia entre los ratings por género de los usuarios con los de la página. De estos gráficos podemos concluir que a los críticos de la página les suelen gustar más los juegos de simulación y los de estrategia, mientras que a los usuarios les suelen gustar más los juegos de estrategia y los de aventuras."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rating promedio por plataforma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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>Genero</th>\n",
       "      <th>Rating_Meta</th>\n",
       "      <th>Rating_Usuarios</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action</td>\n",
       "      <td>6.957589</td>\n",
       "      <td>7.131324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adventure</td>\n",
       "      <td>7.014815</td>\n",
       "      <td>7.290741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Other</td>\n",
       "      <td>7.041288</td>\n",
       "      <td>7.024811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Simulation</td>\n",
       "      <td>7.460315</td>\n",
       "      <td>7.082650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Strategy</td>\n",
       "      <td>7.322642</td>\n",
       "      <td>7.271429</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Genero  Rating_Meta  Rating_Usuarios\n",
       "0      Action     6.957589         7.131324\n",
       "1   Adventure     7.014815         7.290741\n",
       "2       Other     7.041288         7.024811\n",
       "3  Simulation     7.460315         7.082650\n",
       "4    Strategy     7.322642         7.271429"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rank_platf = df_rank_sales.groupby(by=\"Plataforma\", as_index=False).agg({\"Rating_Meta\":\"mean\", \"Rating_Usuarios\": \"mean\"})\n",
    "fig, (ax, ax2) = plt.subplots(1,2, figsize=(25,9))\n",
    "sns.barplot(x=\"Rating_Meta\", y=\"Plataforma\", data=rank_platf, ax=ax)\n",
    "sns.barplot(x=\"Rating_Usuarios\", y=\"Plataforma\", data=rank_platf, ax=ax2)\n",
    "rank_genero.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observamos como tanto los ratings de usuarios como los de la prensa son similares y muy parecidos entre cada plataforma, siendo los juegos de nintendo 64 los mejores valorados por la crítica y los de Xbox Series X los mejores valorados por los usuarios."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rating promedio por numero de jugadores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>Genero</th>\n",
       "      <th>Rating_Meta</th>\n",
       "      <th>Rating_Usuarios</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action</td>\n",
       "      <td>6.957589</td>\n",
       "      <td>7.131324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adventure</td>\n",
       "      <td>7.014815</td>\n",
       "      <td>7.290741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Other</td>\n",
       "      <td>7.041288</td>\n",
       "      <td>7.024811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Simulation</td>\n",
       "      <td>7.460315</td>\n",
       "      <td>7.082650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Strategy</td>\n",
       "      <td>7.322642</td>\n",
       "      <td>7.271429</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Genero  Rating_Meta  Rating_Usuarios\n",
       "0      Action     6.957589         7.131324\n",
       "1   Adventure     7.014815         7.290741\n",
       "2       Other     7.041288         7.024811\n",
       "3  Simulation     7.460315         7.082650\n",
       "4    Strategy     7.322642         7.271429"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1800x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rank_jugadores = df_rank_sales.groupby(by=\"N_jugadores\", as_index=False).agg({\"Rating_Meta\":\"mean\", \"Rating_Usuarios\": \"mean\"})\n",
    "fig, (ax, ax2) = plt.subplots(1,2, figsize=(25,9))\n",
    "sns.barplot(x=\"Rating_Meta\", y=\"N_jugadores\", data=rank_jugadores, ax=ax)\n",
    "sns.barplot(x=\"Rating_Usuarios\", y=\"N_jugadores\", data=rank_jugadores, ax=ax2)\n",
    "rank_genero.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vemos que los juegos multijugador más valorados por la crítica, mientras que los juegos de un solo jugador son ligeramente más valorados por los usuarios."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "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>Year</th>\n",
       "      <th>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Nombre</th>\n",
       "      <th>Rating_Meta</th>\n",
       "      <th>Rating_Usuarios</th>\n",
       "      <th>Plataforma</th>\n",
       "      <th>Developer</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Genero</th>\n",
       "      <th>Resumen</th>\n",
       "      <th>N_jugadores</th>\n",
       "      <th>Clasificacion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009</td>\n",
       "      <td>15.75</td>\n",
       "      <td>11.01</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.96</td>\n",
       "      <td>33.00</td>\n",
       "      <td>Wii Sports Resort</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>2009-07-26</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>Wii Sports Resort is a collection of fun sport...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1989</td>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>Tetris</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PlayStation 3</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>Other</td>\n",
       "      <td>The first Tetris game for the PlayStation 3 wi...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1988</td>\n",
       "      <td>2.97</td>\n",
       "      <td>0.69</td>\n",
       "      <td>1.81</td>\n",
       "      <td>0.11</td>\n",
       "      <td>5.58</td>\n",
       "      <td>Tetris</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PlayStation 3</td>\n",
       "      <td>Electronic Arts</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>Other</td>\n",
       "      <td>The first Tetris game for the PlayStation 3 wi...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2005</td>\n",
       "      <td>9.81</td>\n",
       "      <td>7.57</td>\n",
       "      <td>4.13</td>\n",
       "      <td>1.92</td>\n",
       "      <td>23.42</td>\n",
       "      <td>Mario Kart DS</td>\n",
       "      <td>9.1</td>\n",
       "      <td>8.7</td>\n",
       "      <td>DS</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>2005-11-14</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>Race and battle with up to eight karts at once...</td>\n",
       "      <td>multi_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007</td>\n",
       "      <td>8.94</td>\n",
       "      <td>8.03</td>\n",
       "      <td>3.60</td>\n",
       "      <td>2.15</td>\n",
       "      <td>22.72</td>\n",
       "      <td>Wii Fit</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>Wii</td>\n",
       "      <td>Nintendo</td>\n",
       "      <td>2008-05-19</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>The active-play phenomenon started by Wii Spor...</td>\n",
       "      <td>single_player</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  \\\n",
       "0  2009     15.75     11.01      3.28         2.96         33.00   \n",
       "1  1989     23.20      2.26      4.22         0.58         30.26   \n",
       "2  1988      2.97      0.69      1.81         0.11          5.58   \n",
       "3  2005      9.81      7.57      4.13         1.92         23.42   \n",
       "4  2007      8.94      8.03      3.60         2.15         22.72   \n",
       "\n",
       "              Nombre  Rating_Meta  Rating_Usuarios     Plataforma  \\\n",
       "0  Wii Sports Resort          8.0              8.3            Wii   \n",
       "1             Tetris          8.0              7.3  PlayStation 3   \n",
       "2             Tetris          8.0              7.3  PlayStation 3   \n",
       "3      Mario Kart DS          9.1              8.7             DS   \n",
       "4            Wii Fit          8.0              7.7            Wii   \n",
       "\n",
       "         Developer      Fecha      Genero  \\\n",
       "0         Nintendo 2009-07-26  Simulation   \n",
       "1  Electronic Arts 2011-01-04       Other   \n",
       "2  Electronic Arts 2011-01-04       Other   \n",
       "3         Nintendo 2005-11-14  Simulation   \n",
       "4         Nintendo 2008-05-19  Simulation   \n",
       "\n",
       "                                             Resumen    N_jugadores  \\\n",
       "0  Wii Sports Resort is a collection of fun sport...   multi_player   \n",
       "1  The first Tetris game for the PlayStation 3 wi...   multi_player   \n",
       "2  The first Tetris game for the PlayStation 3 wi...   multi_player   \n",
       "3  Race and battle with up to eight karts at once...   multi_player   \n",
       "4  The active-play phenomenon started by Wii Spor...  single_player   \n",
       "\n",
       "  Clasificacion  \n",
       "0             E  \n",
       "1             E  \n",
       "2             E  \n",
       "3             E  \n",
       "4             E  "
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rank_sales.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MODELO DE REGRESION "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "transformamos los datos categoricos a datos numericos para ser considerados en nuestro modelo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "col = [\"Plataforma\", \"Genero\", \"N_jugadores\", \"Clasificacion\"]\n",
    "for c in col:\n",
    "    df_rank_sales[c] = df_rank_sales[c].cat.codes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. ¿Es posible generar un modelo de regresión lineal útil para predecir los ratings tanto de usuarios como de la plataforma?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ANALIZAMOS RELACIONES ENTRE VARIABLES:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x18c9f2f5de0>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2160x180 with 13 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df_rank_sales,y_vars='Rating_Usuarios')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "vemos la correlación lineal entre las variables con el rating de los usuarios. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,  ax = plt.subplots(figsize=(15, 10))\n",
    "sns.heatmap(df_rank_sales.corr()[[\"Rating_Usuarios\"]], annot=True, ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Entrenamos nuestro modelo de Regresión Lineal para los ratings de los usuarios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Global_Sales</th>\n",
       "      <th>Rating_Meta</th>\n",
       "      <th>Plataforma</th>\n",
       "      <th>Genero</th>\n",
       "      <th>N_jugadores</th>\n",
       "      <th>Clasificacion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15.75</td>\n",
       "      <td>11.01</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.96</td>\n",
       "      <td>33.00</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>30.26</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.97</td>\n",
       "      <td>0.69</td>\n",
       "      <td>1.81</td>\n",
       "      <td>0.11</td>\n",
       "      <td>5.58</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9.81</td>\n",
       "      <td>7.57</td>\n",
       "      <td>4.13</td>\n",
       "      <td>1.92</td>\n",
       "      <td>23.42</td>\n",
       "      <td>9.1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.94</td>\n",
       "      <td>8.03</td>\n",
       "      <td>3.60</td>\n",
       "      <td>2.15</td>\n",
       "      <td>22.72</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8874</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8875</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8876</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>8.1</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8877</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.7</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8878</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>5.7</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8656 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      NA_Sales  EU_Sales  JP_Sales  Other_Sales  Global_Sales  Rating_Meta  \\\n",
       "0        15.75     11.01      3.28         2.96         33.00          8.0   \n",
       "1        23.20      2.26      4.22         0.58         30.26          8.0   \n",
       "2         2.97      0.69      1.81         0.11          5.58          8.0   \n",
       "3         9.81      7.57      4.13         1.92         23.42          9.1   \n",
       "4         8.94      8.03      3.60         2.15         22.72          8.0   \n",
       "...        ...       ...       ...          ...           ...          ...   \n",
       "8874      0.00      0.01      0.00         0.00          0.01          7.0   \n",
       "8875      0.01      0.00      0.00         0.00          0.01          7.2   \n",
       "8876      0.00      0.01      0.00         0.00          0.01          8.1   \n",
       "8877      0.00      0.01      0.00         0.00          0.01          7.7   \n",
       "8878      0.01      0.00      0.00         0.00          0.01          5.7   \n",
       "\n",
       "      Plataforma  Genero  N_jugadores  Clasificacion  \n",
       "0             15       3            1              0  \n",
       "1             10       2            1              0  \n",
       "2             10       2            1              0  \n",
       "3              1       3            1              0  \n",
       "4             15       3            0              0  \n",
       "...          ...     ...          ...            ...  \n",
       "8874           6       4            1              1  \n",
       "8875           3       4            0              5  \n",
       "8876          14       0            1              0  \n",
       "8877           6       0            1              0  \n",
       "8878          18       0            0              5  \n",
       "\n",
       "[8656 rows x 10 columns]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_cols = df_rank_sales.columns.drop([\"Year\", \"Rating_Usuarios\", \"Nombre\", \"Resumen\", \"Fecha\", \"Developer\"])\n",
    "X = df_rank_sales[train_cols]\n",
    "y = df_rank_sales[\"Rating_Usuarios\"]\n",
    "X"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Conseguimos un buen ajuste de cuadrados, pero con pésimas métricas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r2 train: 0.3316300517601245\n",
      "r2 test: 0.27285907328370396\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\56931\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3,  random_state = 0)\n",
    "sc = StandardScaler()\n",
    "scaled_train = sc.fit_transform(X_train)\n",
    "X_test = sc.fit_transform(X_test)\n",
    "X_train = pd.DataFrame(scaled_train, columns=train_cols)\n",
    "X_train\n",
    "\n",
    "rl = LinearRegression() #CREAMOS LA REGRESION LINEAL\n",
    "rl.fit(X_train, y_train) # ENTRENAMOS EL MODELO\n",
    "\n",
    "# R2 de train\n",
    "print(f\"r2 train: {rl.score(X_train, y_train)}\")\n",
    "\n",
    "# R2 de test\n",
    "print(f\"r2 test: {rl.score(X_test,y_test)}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explained_variance:  0.2733\n",
      "r2:  0.2729\n",
      "adjr2:  0.2703\n",
      "MAE:  0.8164\n",
      "MSE:  1.1749\n",
      "RMSE:  1.0839\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\56931\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "c:\\Users\\56931\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "def regression_results(y_true, y_pred, p):\n",
    "    explained_variance=explained_variance_score(y_true, y_pred)\n",
    "    mae=mean_absolute_error(y_true, y_pred) \n",
    "    mse=mean_squared_error(y_true, y_pred) \n",
    "    r2=r2_score(y_true, y_pred)\n",
    "\n",
    "    n = y_true.shape[0]\n",
    "    adjr2 = 1-(1-r2) * (n-1)/(n-p)\n",
    "\n",
    "    print('Explained_variance: ', round(explained_variance,4))    \n",
    "    print('r2: ', round(r2,4))\n",
    "    print('adjr2: ', round(adjr2,4))\n",
    "    print('MAE: ', round(mae,4))\n",
    "    print('MSE: ', round(mse,4))\n",
    "    print('RMSE: ', round(np.sqrt(mse),4))\n",
    "\n",
    "regression_results(y_test, rl.predict(X_test), X_test.shape[1])\n",
    "r1_r2=r2_score(y_test, rl.predict(X_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Esto se puede apreciar claramente cuando graficamos algunos de los datos considerados en el modelo a través de su representación lineal en relación con el rating de los usuarios."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x18ca82bbf40>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"Genero\", y=\"Rating_Usuarios\", data=df_rank_sales)\n",
    "sns.lmplot(x=\"Rating_Meta\", y=\"Rating_Usuarios\", data=df_rank_sales)\n",
    "sns.lmplot(x=\"Global_Sales\", y=\"Rating_Usuarios\", data=df_rank_sales)\n",
    "sns.lmplot(x=\"Plataforma\", y=\"Rating_Usuarios\", data=df_rank_sales)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MODELO 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.¿Es posible generar un modelo de regresión lineal útil para predecir las ventas de un juego con nuestro dataset?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "vemos la correlación lineal entre las variables con las ventas globales de los juegos. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x18ca8faecb0>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAACEkAAAC0CAYAAABivOBeAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOzdeXxcZb0/8M85sy+ZyT5Jk2Zrky5J04VQaKGALdTCLW1lFy3KYq8Itgoq6gV6C1wVVK5sV0UBAX9aQJRN7UVbELmytSxdaGm6JTTNvsxMZj/L74/JnMxkzmzJ7Pm+X6++oGlm5sw5z3nOs3yf78OIoghCCCGEEEIIIYQQQgghhBBCCCGEkHzHZvoACCGEEEIIIYQQQgghhBBCCCGEEELSgYIkCCGEEEIIIYQQQgghhBBCCCGEEDItUJAEIYQQQgghhBBCCCGEEEIIIYQQQqYFCpIghBBCCCGEEEIIIYQQQgghhBBCyLRAQRKEEEIIIYQQQgghhBBCCCGEEEIImRZyJkhizZo1IgD6Q38y+SchVGbpT5b8SQiVW/qTBX8SRuWW/mTBn4RRuaU/WfAnIVRm6U+W/EkIlVv6kwV/Ekbllv5kwZ+EUbmlP1nwJyFUZulPlvxJCJVb+pMFfxJG5Zb+ZMGfiHImSGJgYCDTh0BIQqjMklxE5ZbkIiq3JBdRuSW5hsosyUVUbkkuonJLchGVW5JrqMySXETlluQiKrckm+VMkAQhhBBCCCGEEEIIIYQQQgghhBBCyFRQkAQhhBBCCCGEEEIIIYQQQgghhBBCpgVlpg+AkIkEQcSJQQd6bW5YTFrUlRjAskymD4vkISprhKQX3XP5h67p9EPXnBBCSKbRs4hMB1TOSaZQ2SO5iMotIVOXzvuI7lmSLShIgmQVQRCx40APbnn2Q7h9ArQqFvdfsQhrmiuokiRJRWWNkPSiey7/0DWdfuiaE0IIyTR6FpHpgMo5yRQqeyQXUbklZOrSeR/RPUuyCW23QbLKiUGHVDkCgNsn4JZnP8SJQUeGj4zkGyprhKQX3XP5h67p9EPXnBBCSKbRs4hMB1TOSaZQ2SO5iMotIVOXzvuI7lmSTShIgmSVXptbqhwD3D4BfXZ3ho6I5Csqa4SkF91z+Yeu6fRD15xEwnEcOI7L9GEQQqYBehaR6YDKOckUKnskF1G5JWTq0nkf0T1LsgkFSZCsYjFpoVWFFkutikV5gTZDR0TyFZU1QtKL7rn8Q9d0+qFrTgghJNPoWUSmAyrnJFOo7JFcROWWkKlL531E9yzJJhQkQbJKXYkB91+xSKokA/sR1ZUYMnxkJN9QWSMkveieyz90TacfuuaEEEIyjZ5FZDqgck4yhcoeyUVUbgmZunTeR3TPkmyizPQBEBKMZRmsaa7A3M0r0Gd3o7xAi7oSA1iWyfShkTxDZY2Q9KJ7Lv/QNZ1+6JoTQgjJNHoWkemAyjnJFCp7JBdRuSVk6tJ5H9E9S7IJBUmQrMOyDBrKjGgoM2b6UEieo7JGSHrRPZd/6JpOP3TNCSGEZBo9i8h0QOWcZAqVPZKLqNwSMnXpvI/oniXZgrbbIIQQQgghhBBCCCGEEEIIIYQQQsi0QEEShBBCCCGEEEIIIYQQQgghhBBCCJkWUrrdBsMwWgBvANCMfdYfRFHcyjBMPYDtAEoA7AGwURRFbyqPJV0EQcSJQQd6bW5YTLSXDiEkNaZLXTNdvichJDqqC/zoPBBCCCH0PCTZjconSQSVF5KLqNwSkp/SeW9TPUKyRUqDJAB4AKwURXGUYRgVgDcZhvkrgFsA/LcoitsZhvkFgOsB/DzFx5JygiBix4Ee3PLsh3D7BGhVLO6/YhHWNFfQDU4ISZrpUtdMl+9JCImO6gI/Og+EEEIIPQ9JdqPySRJB5YXkIiq3hOSndN7bVI+QbJLS7TZEv9Gxv6rG/ogAVgL4w9jPnwSwIZXHkS4nBh3SjQ0Abp+AW579ECcGHRk+MkJIPpkudc10+Z6EkOioLvCj80AIIYTQ85BkNyqfJBFUXkguonJLSH5K571N9QjJJikNkgAAhmEUDMN8CKAPwN8AHAUwIooiN/YrJwFUpfo40qHX5pZu7AC3T0Cf3Z2hIyKE5KPpUtdMl+9JCImO6gI/Og+EEEIIPQ9JdqPySRJB5YXkIiq3hOSndN7bVI+QbJLyIAlRFHlRFBcBqAawFMDceF/LMMwmhmF2Mwyzu7+/P1WHmDQWkxZaVegp1apYlBdoM3REJN1yrcyS3JTsuiZbyy3VqSSabC23JPnyqS6YSrnNp/NAcgfVtSQXUbnNb/n6PKRymx/ytXxGQuV2aqZbeckGVGanjspt+lG5JemQzvkGqkdINkl5kESAKIojAF4DsAxAIcMwyrF/qgbQFeE1j4qi2CaKYltZWVl6DnQK6koMuP+KRdINHthLp67EkOEjI+mSa2WW5KZk1zXZWm6pTiXRZGu5JcmXT3XBVMptPp0HkjuoriW5iMptfsvX5yGV2/yQr+UzEiq3UzPdyks2oDI7dVRu04/KLUmHdM43UD1Csoky9q9MHsMwZQB8oiiOMAyjA3ABgHvhD5a4DMB2AF8C8GIqjyNdWJbBmuYKzN28An12N8oLtKgrMYBlmUwfGiEkj0yXuma6fE9CSHRUF/jReSCEEELoeUiyG5VPkggqLyQXUbklJD+l896meoRkk5QGSQCoBPAkwzAK+LNWPCuK4isMw3wMYDvDMPcA+ADAYyk+jrRhWQYNZUY0lBkzfSiEkDw2Xeqa6fI9CSHRUV3gR+eBEEIIoechyW5UPkkiqLyQXETllpD8lM57m+oRki1SGiQhiuJeAItlfn4MwNJUfjYhhBBCCCGEEEIIIYQQQgghhBBCSDA20wdACCGEEEIIIYQQQgghhBBCCCGEEJIOFCRBCCGEEEIIIYQQQgghhBBCCCGEkGmBgiQIIYQQQgghhEwax3HgOC7Th0EIIYQQQgghhBBCSFwoSIIQQgghhBBCCCGEEEIIIYQQQggh0wIFSRBCCCGEEEIIIYQQQgghhBBCCCFkWqAgCUIIIYQQQgghhBBCCCGEEEIIIYRMCxQkQQghhBBCCCGEEEIIIYQQQgghhJBpgYIkCCGEEEIIIYQQQgghhBBCCCGEEDItUJAEIYQQQgghhBBCCCGEEEIIIYQQQqYFCpIghBBCCCGEEEIIIYQQQgghhBBCyLRAQRKEEEIIIYQQQgghhBBCCCGEEEIImRYoSIIQQgghhBBCCCGEEEIIIYQQQggh0wIFSRBCCCGEEEIIIYQQQgghhBBCCCFkWqAgCUIIIYQQQgghhBBCCCGEEEIIIYRMCxQkQQghhBBCCCGEEEIIIYQQQgghhJBpgYIkCCGEEEIIIYQQQgghhBBCCCGEEDItKOP9RYZh7gNwDwAXgB0AWgF8UxTF36bo2EiOEgQRJwYd6LW5YTFpUVdiAMsymT4skmFULghJHrqfyHRBZT116NwSQgghfvRMJLkmH8psPnwHQkj2oDqFkKlL531E9yzJFnEHSQBYLYridxiG+RyAEwAuAfAGAAqSIBJBELHjQA9uefZDuH0CtCoW91+xCGuaK6iSm8aoXBCSPHQ/kemCynrq0LklhBBC/OiZSHJNPpTZfPgOhJDsQXUKIVOXzvuI7lmSTRLZbiMQUPFvAJ4TRdGaguMhOe7EoEOq3ADA7RNwy7Mf4sSgI8NHRjKJygUhyUP3E5kuqKynDp1bQgghxI+eiSTX5EOZzYfvQAjJHlSnEDJ16byP6J4l2SSRTBKvMAxzCP7tNm5kGKYMgDs1h0VyVa/NLVVuAW6fgD67Gw1lRgCUSiffyV3feMoFISQ+0e6nuhID1a8k60z2uU/PjtSZeG4rzVpcsqQah3vtAEB1ByGEkKyWzDEFam+QdJtq+c2HMpsP3yGf0bgtyTW9NjeK9GpcsqQazFhRfX7PyWlTp9A9S5Ihnc/m6X7PkuwSd5CEKIrfZRjmPgBWURR5hmGcANan7tBILrKYtNCq2JAKVatiUV6gBUCpdPJdpOs7v7IgarkghMQvUj1bYdJS/UqyzlSe+7HaFGTygs9tpVmLjWfW4sFd7VR3EEIIyXrJHlOg9gZJp2SU33wos/nwHfIVjduSXFRp1uKaZbV4YOd4n3bLqkZUmPK/TqF7liRLOp/N0/meJdkn7u02GIbRA/gagJ+P/WgGgLZUHBTJXXUlBtx/xSJoVf6iFXgw15UYAMSXSkcQRBzrH8VbRwdwrH8UgiCm/4uQSQlc3yK9Gjd9ZjZuWNGAT3psEEVELReEkPhFqmd5AVS/kpjSXQamkkIvVpuCTI4giBBF4CeXLcSWVbNxzbLxAAmA0hwSQgjJbicGHbh3x0Fcf3YDbl7p73Peu+PgpJ9b1N4gqRbc/t7XZcW9Ow5Oqd2VD2U2H75Dvkp2HUtIOvACsP29zpByu/29TvBC7NfmOtq2gCRLXYkBD1+9GJtXzcbNK2djy6rZePjqxSl5Nk/ne5Zkn0S223gCwB4Ay8f+3gXgOQCvJPugSO5iWQZrmiswd/MK9NndKC8ITfEUK20PRT/mtkCqpIkrUmtLDFjXOgN/iVAuCCHxi1TPvnN8kOpXElUmysBU0vXFalOQxMmVgXs2tKBIr0a3dXwXPUp3TAghJFsNOjy4sq0mpL+5eWUjhhyeST23qL1BUkmu7bV5ZSOefrtDansl2u7KhzKbD98hXyW7jiUkHYac8uV22OkBkN/llrYvIsnk5UQ8+saxkDHDVJjO9yzJPnFnkgAwSxTF+wD4AEAURScAar2SMCzLoKHMiDMbStFQZgzp5ATS9gQLTttD0Y+5zWLS4vK26rAVqd//0z50DjsjlgtCSGLk6lmqX0ksmSgDscplLNHaFCRxcmXg9hf24/K26pDfo3THhBBCspVawYb1Nx/c1Q6VIpHhrVDU3iCpItf2enBXOy5ZMt72mky7Kx/KbD58h3yUijqWkFSbzuV2qmMuhASkc8xwOt+zJPskkknCyzCMDoAIAAzDzALgSclRkbwVSKk3cRVrIG1PMqIfXS4f9vXY0GvzwGLSYEGFCTqdKunfZbpI5HzWlRjQVF5AEayEZECy6leqQxOXK+csEysMYpVLkl6RykCTpUDaezLV1yhX7hdCCCHZyenlZZ9lTi+f0s8VBBFH+0ZxfHAUWpUCBRol5llM0GoTGVYj002ktpdZq8BNn5kNnYrFabVFGHT4h1eDsyl4vTz2nrKix+ZGpUmLBTPMUKsVaf8O04kgiDgx6ECvzQ2LKT3ZLWJ9ZrqPKZV1bLTvkolzHwnHCTjQbUW31Y1Ksw7NlSYolTRxFyzb6qdMtQ2yAY25kGTptbnx+bYqfHZBFfrHsjzt2NeVkjHD6XzPpguNvcUvkd7cVgA7AMxkGOb/ATgLwJdTcVAkf8VKqReIfgyuJBOJfnS5fHh5fw/ufGm/1DC4a10LLm6poEpgEhI9nyzLYF6laUrXkBAyOcmoX6kOTVwunbOpPmMng1LpZpdIZWBehSktW2Ll0v1CCCEkO0V6lllMqWvPCIKIv+7vxq3PfSQ9v7asasSnwy6snmuhQAkSkVx5rS3RoaxAi/v/vi8kxfQzuztx25p5WNNcAY4T8MLeU7jzxaA20/oWbGidQYESKZKJrQljfWYmjilVdWy07wIga7YG5TgBL3zUhdtfGL/37tnQgg0LqyhQYozXy2dd/ZSJtkG2oDEXkiwzS7SYN6MQX37i3aDxmmZUFyf/PprO92w60NhbYuJ+uoui+DcAl8AfGPF7AG2iKL6emsMiuUQQRBzrH8VbRwdwrH8UgiBG/f1oKfUC0Y+BNFGJRj/u67FJNz/gj0C786X92Ndjm+S3m94mcz7rS8evYaVZi82rZuMnly2EKCJm2SC5JdF7n6TeVOvX6VyHTrY859I5m+ozdrIolW72iFQG6ksNablGuXS/5DJ6PhNC8lm62zOCIGJf1wg+6bXjhhUNqDRr4fYJeGBnO470j2JftzUln0vyg1x5vXv9AnzvT/vCUkyvba2S0lrvPWWVJiADv3Pni/ux91R85Y3aAolLZZrxSNcj1mdmYrvEVNWx0b5LNm0NeqDbiod2teP6sxtw88rZuGFFAx7a1Y4DVNdLplo/pUKmxjqyBY25kGQ4NezBI68fCan/Hnn9CE4NJ38zgel+z6bavh4bHnm9fcK1bKextwhihrszDLNkwo+6x/5bwzBMjSiK7yf/sEiuSHZU81SjH3ttHtlUPb022hlmMiZzPgPXcP6WFXi/cwTf/9O+pJQNkl0ysaKBTE089et0rUOnUp5z6ZzRCgOS6TKQS/dLrsrU81kURfA8D1EUwTBUpxBCUiedzzK5OnXzykY8/XYHuq1uCCLoGUaikiuvkbbgYJjxrfAGRr0R2kzumJ9JffXJSdXWhNGuR6zPzMR2iamqY6N9F1FE1mzbO+jw4Mq2Gjy4qz2k3h9yUF0f0BPhWsZTP6VKpvu5hOSDYadPtv4bdvqS/ll0z6ZWOq9lPognk8RPo/z5SbQXMgwzk2GY1xiG+ZhhmAMMw2wZ+3kxwzB/Yximfey/RVP7GiRTUhHtO5XoR4tJI0WgBfhT9WgmfTzT2WTPJ8syEERIARJAZiPBSfJlU6Q/iV+s+nW61qFTKc+5ds5ohQHJZBnItfslF2Xq+czzPK759VvgedpDlBCSeul6lsnVqQ/uasclS6qhVbFgGdAzjMQ0sbwGUkwH06pYiOL4VniVEX4nnjTU1FefnEjXZapbE0a7HrE+M1XHFEsq6tho3yVT31OOSauWJpWA8Xq/QKtO+7Fkq6nUT6lEYx2ETE2RXiVb/xXpU7M9A92zqZPua5nrYgZJiKL4mSh/VsZ4OQfgVlEU5wM4E8BNDMPMB/BdADtFUWwEsHPs7yQHRYsEzoQFFSbcta4lJFXPXetasKDClJHjyXVTOZ/ZVjZIctH1zU/TtQ6dSnmerueMkMmg+yX1Mvl8ZhS0RzohJL9EqlMVLLBlVSNmlxmxoNKcoaMjuUouxfTmlY14ZW+XlGp6wQwz7lo/oc20vgWtM2KXN+qrT06qUn9Hux6xPjOf0pFH+y7Z9D29nCB7vXy8EOEV089U6idCSPbyRar/OKr/cg1dy8TE3G4jGMMwLQDmA5BCA0VRfCrS74ui2I2x7TlEUbQzDHMQQBWA9QDOG/u1JwG8DuC2RI6FZIdAtG/wTZepaF8A0OlUuLilAnWlevTaPLCYNFhQYYJOR1FSkzGV85ltZYMkF13f/DRd69CplOfpes4ImQy6X1KPns+EEJI8kerUZQ0l0CpZzLOYoNUmNKxGSEiK6V6bG3q1Aj5ewJqWCinVtFqtwIbWGWgoNaDX5obFpEXrDDPU6tgBidQWmJxUpf6Odj1ifWY+pSOP9V2y5XtWmOWvV6azJGSTqdRPhJDsVVmok63/Kgt1GTwqMhl0LRMTd2+OYZit8Ac2zAfwFwAXAngTQMQgiQmvrwOwGMA7ACxjARQA0APAEvcRk6wSiPaduLdeJqOadToVltaXZOzz881kz2c2lg2SPHR989d0rEOnWp6n4zkjZLLofkktej4TQkjyRKpTz6gvyclJSpI9AimmG8qMEX9HrVagra444femtsDkxXNdEhXresT6zFQcU6ZE+y7Z8j3p/onPZOsnQkj2ovovf9C1TAwjimJ8v8gw+wAsBPCBKIoLGYaxAPitKIoXxPFaI4B/APgvURT/yDDMiCiKhUH/PiyKYpHM6zYB2AQANTU1p3V0dMR1rCS9BEHEiUFHxqN90yDml6IyG2oalY1slrJyS9eXpEhchSjZ9S2VZzJFGSm3hMhJoD5LWhthdHQUX3riXTxz4zlQKmlVNUkp6pORtEpCG5HaCCTtqNxmF+prpk1S2gh0vUiaUduWZI046z9qI+QAepaFifjlEwmSeFcUxaUMw+wB8BkAdgAHRVGcG+N1KgCvAPhfURTvH/vZJwDOE0Wxm2GYSgCvi6I4J9r7tLW1ibt3747rWAlJkYRqESqzJEtQuSW5JuEWG5VbkgWo3JJclLQ2AgVJkDSiti3JNdRGILmIyi3JRdRGILmIyi3JNdRGILkoYrllE3iT3QzDFAL4FYA9AN4H8FbUT2UYBsBj8AdT3B/0Ty8B+NLY/38JwIsJHAchhBBCCCGEEEIIIYQQQgghhBBCSMLiXuYjiuLXxv73FwzD7ABgEkVxb4yXnQVgI4B9DMN8OPaz7wP4EYBnGYa5HkAHgCsSOmpCCCGEEEIIIYQQQgghhBBCCCGEkATFDJJgGKYWwIgoitaxv38GwAYAHQzDHBJF0RvptaIovonIaSxWJX64hBBCCCGEEEIIIYQQQgghhBBCCCGTE892G88CMAAAwzCLADwHoBPAQgD/k7IjI4QQQgghhBBCCCGEEEIIIYQQQghJoni229CJonhq7P+/COBxURR/yjAMC+DDlB0ZIYQQQgghhBBCCCGEEEIIIYQQQkgSxZNJIni7jJUAdgKAKIpCSo6IEEIIIYQQQgghhBBCCCGEEEIIISQF4skksYthmGcBdAMoArALABiGqQTgTeGxEUIIIYQQQgghhBBCCCGEEEIIIYQkTTxBEt8AcCWASgBni6LoG/t5BYD/SNFxEUIIIYQQQgghhBBCCCGEEEIIIYQkVcwgCVEURQDbZX7+QfDfGYZ5SxTFZUk8NkImxeXyYV+PDb02DywmDRZUmKDTqTJ9WNMaXROSr6hsZz+6RmS6orJPCCGEJI8giDjaN4rjg6PQqhQo0Cgxz2KCVhvP2iNCQgmCiBODDvTa3NCrlfDyPEoMGtSVGMCy/l2PvV4ee09Z0WNzo9KkxYIZZqjVigwfeX4Lvi4WkzbkemTqMzNxTKkS7btk0/fkOAEHuq3otrpRadahudIEpTKeHcunD6qfCMlPNI6UP+haxi+ZvTltEt+LZJFcahy6XD68vL8Hd760H26fAK2KxV3rWnBxSwVVAikUrYzQNSH5amLZbqs145sXzIHNxWFGYXbXldNFovVPLj3vCIkmWtlXqRRUzgkhhJAYJk5i99jc+PiUFc/uPolhpxdbVjXi02EXVs+1UKAESYggiNhxoAe3PPuh1E7bvLIRz+zuxG1r5mFNcwU4TsALe0/hzheD2nLrW7ChdQbUakVcQRYkMYIgYtcnvdh70gpBBBQMsKDajJVzLFM+p5ECAOTKwv1XLMKa5oq4/j2XRPsuALLme3KcgJ2f9MLHiXB4OHCCiB6bC6vmWKjPNMbr5aPWTyT9sinIiOQul8uHv33ShyP9oxBE4EifHT1WNy6YU05zODnG5fLhjaMD8PEinB4OfXbgDccAzplVStdSRjJ7cmIS34tkCY4T8MJHXbj9hfGGzz0bWrBhYVVWNg739dikCQEAcPsE3PnSftSV6rG0viTDR5efYpURuiYkXwWX7dYqEy5dUoPrn9ydE3XldJFI/ZNrzztCoolU9udUGNHeN0rlnBBCCIki0iT2Cx92YeOZtXj67Q48sLMdm85pQKVZi9OpX0sScGLQIZUtwN9Oe3BXO64/uwG3PPsh5m5egSGHV5qADPzOnS/uR0OpAUtqimIGWdDkWOI6hxxo7x3Fo28ck87rllWNmF1mRF2pcdLvGy04QK4sBMpAQ5kx5r/nkmjfBUDWfM/2fhuGHD5se/mAdL22XtyM9n4b5lUWpvVYstXeU9aI9VNbXXGGj276yadgKpJZB/vs6BpxhT0HD/bZsaSW7u1ccnhgFEPO8GfZ4YFRLJxZlOnDyzo0GkqiOtBtlQbSAX/D5/YX9uNAtzXDRyav1+aRjjXA7RPQa/Nk6IjyX6wyQteE5Kvgsn3DObOw7ZUDOVNXTheJ1D+59rwjJJpIZd/h5amcE0IIITFEmsRe21qFB3e145Il1XD7BAgiqF9LEtZrc8u20xjG/98+uxs9EX6n1+aOWj5vefZDnBh0pO275JNemwcP7GwPOa8P7Gyf8j0eKTggsOpb7jr32d1jxxT933NJtO+STd9zxMlJk0qB49j28gGMOLm0H0u2ilY/kfSLVscQkgi7h5N9Dto9VP/lGoeXl32WObx8ho8sOyUzkwSFpuWhbqt8w6fH6sbCmfKvyWSKJ4tJA62KDTlmrYqFxaRJy+dnUqbOe6wyMp2vCclvgbJdpFfDqFbghhUNAIDn95yU7otodSVJvUTqn8k870j+y7W0lYHjVSsZbFk1G8/u9tdHgL/sDzm8VM4JIYTklEw8i2NNYjOM/7nKMqB+LQGQWDm1mLSyfRRR9P+3vEALFctG6Mdo4wqyyIUsA9nWznZ4Odnz6vRObXIoWgBApLJQXuDf0TrWv+eSWN8lW75npP7SkMOb9mPJVpUmLWpLdFjbWgVm7JZ9+aMuWEy5Vy7zQbQ6JheeBSR7uH08ivRqXLKkWrq3n99zEp4J5StZsq0dkE8iPcuG6VkmK5lBEhuT+F4kQyZWTtVFOtmGaoVZvuGT6RRPCypMuGtdS9ge3AsqTCn/7ExK1XmP52FVaY5eRqbrNSH5K3Bf+DgBv/ziaegYdOBrv3s/JNXp0293YNjpjVhXkvRIpP6JVZdlGnUe0i/TbZpEye2jfOO5Dfj5P45h2OnFXetaUF2Y3eWc5DaB58FxHJTKZHYxCSHTWaaexcGTeZVmLS5ZUg0FCzSWF6C2RAeWAbasakRVoQ4LKs0pOw6SGxItp3UlBtx/xSLZ7TLuv2IR6koMqDbrcNf6Ftz54n4U6dW4vK0as8qMMOtUUCmYmEEW2S4b29m1xQbZ81pTbJjS+1oiTCiXF2hly0KgDADyZSX433NJrO+SLd+zukgvWw6qCnVpP5Zs1Vxhwk3nNYaNs7RkeJx3uo6Z5FMwFcmsWaUG3HhuAwYc3pAxpYZSfdI/S278akG1GSvnWKbFfZtqkcb+6FkmL+YIFsMwdgCi3D8BEEVRNMH/P/uTfGwkzeQ6KT+9fBF+fFkrvv2HvdLP7tnQguYIAwHp2C+P4wQc6Lai2+pGpVmH5kqTtI+2TqfCxS0VqCvVo9fmgcWkwYIKE3Q6VVI+O1ul4rzH22ltrjThng0tIfubP3DVIogisGN/NyrNOvxbSznqSpdOq2tCcku0eiWY3H2xZVUjivRqKRPBg7v8+xPXFOsj1pUkPYKfCQ4vB4NaicFRLw4POMKusVxdFu15l07ZOIg4HeTaHsDB+yg3lRux6ZxZ4EURP7tqEbRKFk2lRqhUiqwt54QQQvJfohMYgWdx8Kq2T3psmF9ZgLrS1D2LA5N59+44iCvbavDgrvbxiaD1Lagv1UHJsJhnMUGrzd7AsGRNGE3Xiad4JdpmZFkGa5orMHfzCvTa3NCrFfDxAta0VEjnVq1WYEPrDDSVG9HeN4o7Xtwf0g94+OrFuPl3H0QMssh22djOri814OGrF4dN2NSXTu181hTp8fWVjWHt75oifUhZ6LO7pcCJwP0V699TJRX3fKzvkonvKae50oQHrloEHyfC4eFg0CqhUjBomUH9pYBTdrcUIAH47987X9qPtroiNGgzc/9O5zGTfAqmIpmlGMti1VReINV/To8PCjZ8fHyqgsevgsfXZ5cZU9rGny5aZpjpWZaAmL05URQL0nEgJPPkOim3PvchXrn5bDyz6Uz0WN2oMGvRXGmWnTwEUpPiaeLkZY/NhS3bPwzpXGxYWBUSKLG0vmRSn5WrUnHe4+20KpUsNiysQmO5ET1WN2pKdNjfZceW7W+HBE1YCrRQKRholAqoVIrJf1lCJilSIATHCXjho66wQYvgeiVA7r54YGc7rj+7AY+8dkT62YIqMz7TVB6xriTpo9Op0Fppxp6Twzg+4IBercTdr+zHVUtrQ67xxLos1vMunbJxEHE6yLW0lb02D3Ye7MEDVy6ChxMABnjsjWM43DcqBUJkczknhBCS3yYzgdFrc6NIr8bGM2tDAhWaLAXgBaDP7oZerYSX51Fi0CRtUi0wmVdVqMWVj74dOhH04n78JQfaYMmaMMqniSe5iV8AU54MnkybkWUZNJQZo5YjtVoBk04lBUgE3veWZz/En7++An+JEmSR7XKtnT0VncNOaawB8H/P21/YjyU1RWgoM8YsC/GUlWRK5ereaN8l3d+TTF423r/TecwkU8FUJP/YXD4YtSoIQbe3UauCzeVL+mf12jx4YGd72Pj6kpoiCpIgaZdwyDvDMOUApHw9oih2JvWISMZEauQMODw4s6E0rr2qk53iSW7ycuvFzWgqN2Jvl03qXDSWG7FwZtGkPiMfpCK1ViKNXqWSxcKZRVg4E/jo0+GQTnxTuRFDDl/UwBZCUi1aIMSBbqvsoIVcvRJt/9cArYrFrDIjle8swXECXt7fHbL6auvaZmx/tyPsGgfXZdkkGwchpoNcS1spQsClS2qw5ZkPQ8r679/tCKnTsrWcE0IIyW+TmcCwmLS4vK1aCpAAgCK9Gp1DTtz63Edhq+hvWzMvaZP3LMvA6eVztg2WrAmjfJl4kgv2ePjqxfBy4pQDQFLZZozUD+gfdePMhtKcugbBsrGdnapVrbnWl5vuq3vb+20Ycviw7eUDIePQ7f02zKsszPThZYVsvH9z7T5LNgoyIskgQoTVxYXVfzPMcpsMTI3Dy8nes04vl/TPmo7oWZaYuGdwGIZZxzBMO4DjAP4B4ASAv6bouEgGBBo5wRJt5ARSPAXeZ6opnuQmL7e9fAA3nDNL+p1l9cVw+wS8svcU9pwYgtfLT+qzclm8593r5bH7xFBc52qy5SGw5UDADefMkipkYHwC+kC3NaHvSMhURAqECGSWkGuY9VjdYe8T6b4IjKFNvPcSuedIahzotoatvtr2ygFcs7xB9hpPlA3XMBnPZ5K4ZLdpUk3JKrDtlQNhZf2Gc2ZFrNOiyYayTwghJH9Em8AA/JPYx/pH8dbRARzrH4UgiKgrMaCpvCDkdZcsqQ5befbgrnZcf1b92ER4Nz76dAQcF/pZk5HLbbBY5zvd7zMVcmUj0d8L3rrlps/Mxg0rGuD2Cbh3x8GwAJATg46Eji+VbcZcLoPRZGM7u9fmwfb3OnH92Q24eaW/jGx/rxO9Ns+U3jfWNYy3fKdLpNW9Uz0PQPZ9VzkjTg6vHerGLzeehp9duQiPbjwNrx3qxoiTJu4CsvH+zde6kpB0cvkE2frP5Zt6m3qi2mKD7D1bU5yd4225hp5liUkkk8TdAM4E8HdRFBczDPMZAF9MzWGRTEjGHlbJTvEUafLSNRZV9pmmUmxcXgsPx4PjRTi8HP7veD/Oqi+DWj19tnSI57x7vTxe2HsKdwatpr5rfQs2tM6QPVfxlgevl8feU1b02NyoNGlRX6oLiSh2eeQjA3usblrFStImWiBEpdlfZpfVF+PLZ9dj2OFDsUEFi0kd9j6R7ov5lQVYPqsk5N5L9J4jqeHy+fDLjadJ1/WJN4/jtcMDcHs51FZE31EsW64h7TGZGbmWtnJg1BNWjz3x5nG4vBy0KhYV5vgHiLKl7BNCCMkf0VaeRkvvPq/SFPI6hkFYu76p3IhykwYcD9hdHD4VneixubBqjmVK2d1yuQ2WrJW+mV4xHG/q/1i/F9i65avnNGDQ6YUgAu29dly3vB6/eOMYuseCSSez8jiVbcZcLoPRZGM728vzuG55vVQ+FAxw3fJ6+PipBQpHu4ap3NpislK1ujcbv6scURRw1dJaBB/RVUtrIYrJnyTMVdl4/+ZrXUlIOqWz/qsvlb9n60vpnk0GepYlJpEgCZ8oioMMw7AMw7CiKL7GMMzPUnVgJP2S1ciZaoonjhOk1d0lBjXaas3Y3TGedcAfVabHvZcsQPMMEw5027D1pfHUMdvWNePIgB3zZxRO6vNzVazzvveUVZrsAMb3U60r0WPI4UWlWYfmSpM0iJRo4EVTuRGbzpkFYUTEb649HT/530PY3WGFQauUHVRJZLKGkKmqLdHh4c8vhsPDQa9R4ldvHMXhvlFUmLVorjTh519cjD6bF//+9J7xCcF1LagvLgiZEIx2X0xMPRnpnmsoNaCtrjit33+68np5WJ08fLwIj4+Hzc3gyqUzoVICVUU6NFeaw14T/AwqNqiz4hpm4yDEdJFLaSvrS3VYs6AS//70HumZ/Lkl1bCYtfj1l5ZAFIEd+7vDnvdyqP4ihBCSbHUlBjx89eKwCbK6EkPU9O71paGvm1tRENa/vGV1E7qtHtmUsnMsZpwYdKDX5obFFH8bShBEnBh0oEivwjOblsHH8yg2aHKmDRbtfGfifSZDEETs7xrBiNMHBsDze05i2OmVTf0fa4sAi0mLa5fXwunjw37nmmW1uHfHJwCiB4AEyoRcWUpVmzGf+wHZ1s4u0qnBMKFZRBgGKNSFL55IRLRreGJgFKeGXSG/f2rYhc4hR8a2tgis7p04hjfV1b25so2HSaeGbdgJJy9IYwhKFpSRYIJsu3/zua4kJF3SWf/RPZta9CxLTCJBEiMMwxgB/BPA/2MYpg9AYjnoSM4QM5TxjOMEvPBRl5QWPzBRCXRgd4dV+vtPX/VPwG/fdKYUIAH4B/G3vnQAT167NDNfIIv1REiT2W11Y8v2D6FVsbhnQws2LKwKCZQIDH702vwrK4IfWIFJlKZyIz6/tBbf+sP4vrB3r2/BN85Xo8Sowd3rW6R094HPkZucJCQVOE7A/i57SBncenEzig0qNFeaoVSyKNCoceNLH4TsdXxyxInX2/sxu9yY8AAYxwnotrpk77nAvURS75M+O4ac4Xuwfe28RswtN4FlGRzrH5UGOqvNOry075T0DPrZlYuy5hpm2yAEyT52t78N1FRuxLVn1eNwnx2CCBztH8WsMiN+9la71Jaa+LyfKFKbgeovQgghU+HlxJAJsvuvWAQgcnr3JTVFqCk2hLyutkSHeza0hIwZqBWKsC0et718AE9fvxQ7DvSErVJb01wRdRDWv21H+OsWVRdNKuAiUyKd70y9TyLkrsHmlY14+u0OqWwET6xGK0N1pf7+3NxKEzaNBcUH/85PLlsIIHrK+EhlIlZZSqZMjdNNF25OgMMbHkTjScLWPQETr+HgqFf2MwdHvagrTdrHJqS2WB9Wx96zoQW1xfopvW+sezRb8LwIl0/A8QGHFBhWV2oAz9MNmO2m85hJtCA+QuLF8yKGnVzYGGqlKTX133S+Z1ONnmWJSSRIYj0AN4BvAPgCADOAu1JwTCRDsqHTd6DbKjXEgbGViy/tx9PXLcWQw4tigxr37jgoZZbot3tkB/H77VPfKy/fVEZIk1moVwHwn7fbX9iPxnIjFs4sAhC7TAQmUW44Zxa+MxYgEXivO17cj2c2nYl5lYVoLDOhyWJEj9U9tnLfPKW0p4Qk4kC3VQqQAMYHTbd/5UypHAZPCFaatdh4Zi0e3NU+6brwQLcVZp1K9p6zmChqM11GPZzsgPkTXz4darUirH774ecW4KFd4wM3xQa6hiR3BOqxm1Y24lh/+Cqtr5wzG7vHJgYmPu8nitRmoLJPCCFksk4MOqR2F+Bvl93y7IeYu3lF1PTuE1/XMejCQ7va8cymM+H08tCrFfh0WD442eXlI35mtAFZuWO9d8dB+HgBtz2/N2PjJYmIdr4TGYxO1vskSu5zH9zVjuvPbsAjrx0JS/0fa4sAlmXA8aLs72hULLZvOiPqKsZMnYdsGKebLtw+XnYS/9fXtE3pfaNdQzcn/5mPfWlqnzkVncNOPDR2rzGMP7DjoV3+YIaplPVUbeORbB7Bvy3rxL5UdZEu04dGiCx6TpBkcfj4iGOoJLfQsywxcc9SiqLoAFAG4CIAQwCeFUVxMFUHRtIvUqfvxGD6EoZ0W+VXLvbZPRABcKIILzce8VSs909gBaOtHOQtmGHGXetbpPMV2JrkN28eBwC0Vplw32UL0TnkwkefjoDjhJhlIjCJ4vLId3Z6xvb1VCpZLJxZhM+2VGLhzCIKkCBpFaleCV4RHSjLAHDJkmopQCLwu4nWhd1WN5548zi2rWsOuefuWteC1hmURSVdhhxe2Ws/5PDK1m/f+9M+3LW+BfdesgAPfX4xXjvYE34N19M1JNkpUI+pWEZ2sFU1NkAi97yfSK7NQGWfEELIVPRGyFLUZ3dL6d2DBdK7y73OywVPdjOwmDSyr/f4hIifmeixrm2tkgIkAu+T7vGSREQ735l4n0RF+lyGkU/9H60Mjf+OXvZ3LAWamFkaMnUesmGcbrqIPInPT+l9o13DSHWUN4nZKxLVa3OHjLsyjL/OnWpZj+cezQZur3zgimuK5YCQVKHnBEmWaGOoJLfQsywxcWeSYBjmBgB3AtgFgAHwEMMwd4mi+HiqDo6kV7ROXyLRwlNJ8VRp1smuXBRF4Ku/fV9K84N3OrC3y4Zf//MYtq1rlrbcmA6TkJM9v2q1AhtaZ6Ch1D/QVFagwa//eQSvHR5Aa5UJn19aK2WDCKTTm2HWRS0TgUkUvVohe90oWIVkmiCIKDVqsHnVbAiifx/bbqs7rHwGyvKdL+4Hw2DKdWGlWYe3jg8BAH658TSMOH0o0qtgMamhViuS9wVJVFVFetm6qapQF/GZt6djGA/uPOJ/3qxtRnvPCJ66bin67R5YTFq0zjDTNZxmsjl1ZfCxlRo1uO+yVji8vGzZdnj5iM/7iVtvTGwzUNknhBAyVZYIWYoCq/fvv2JR2CrI+lKDNCkenPXtmmW1+NIT746PAVw8H/95cTP+Myg98N3rW9BQakBtiQ5rW6vAjD26X/6oK+Z+vHLHqmCn3kdIp2jnOxPvk6hIn8sykMpGsPrSyGUI8LeZjg85cMsFTbj/b4dD2kFf3/4BOgZdUVffZuo8yPVZivRq9Ns9Wdk2TUS2tbFnRBiPrDBrpvS+UQPESgyyn5nJwIFAHRuYXAmsPq2YYka5WPdotnD75PtSE39Gsk+21Snpkqz5HEIqTRrZdrPFNLXnYCTT9Z5NB3qWJSaR7Ta+DWBxIHsEwzAlAP4FgIIk8kQyOn3xpHiKVgE2V5rC9r7benEzHn3jKAD/zfyLfxzB3etb8O6JYSgYoKpIg99ef0bEQXyXy4d9PTb02jywmDRYUGGCTqdKxilLu3jOb6TvKwgiTlpd8PEC5lWaUG3WYXXzDLzRPiS7XcbtL+zH/7v+jIhlIvB+1WYdtGoW913aiu8EpR69Z0MLmivzN1iFZF6sxlSkfWyf2d2Jb62eA4NaibeODkiv3dA6A3Uleri8/JTrwuZKE+5e34I7XtyP1w4PSAO1yxsytLHoNNUSdB2K9Gpc3laNWWVGFGiUKNTLb6XBj/3V7ROw7ZUDeOxLbViSxxlwqFMSXTanrhQEEbs+6cXek1Zpj8GWKjMqzVopMAzwB4cNO73ot7sjPu9nFOqgZJmQNpJarUBbXXGmvh4hhJA8EykQItD2WNNcgbmbV6DP7g7Z9mDi6y5vqw5bGXXnyx/j+xfOxU8uWwiWBaoKdZhnMaFz2IlbLpiDY/2jeHa3/3l4z4YW1BTpYx7rw1cvDnnGLmsokVLWBqRjknyyop3vTLxPouQ+9wefW4AlNYWoKQ5vr0YrQ4B/pe3Nv/sARXq1tI3AXEsBfvzqIXQMugBE30Ij2echuA2uVyvh5XmUGDSoKzFAEEQc6Laie8SNYqMabbVmactZuSChbGmbyonU18jGNrZRowwLornlgiYUaKY2fhgrQOynly/Crc+Nn4efXh4aOJDu/hovQHb16er5FVN6X5ZlcP6ccvz2+jPQY3Oj0qTFghnmuMaK06msQH6SsNSoTvuxZDOvl8feU9aQa5nJgHq5vvGCajNWzrFkZd2YTJkK4iP5x6hV4HsXzgXHAw4PB4NWiZYZc1GgTf69PZ3v2XSgZ1liEgmSGARgD/q7fexnJE8ko9MXa5/GWB0hpZLFhoVVaCw3osfqhkmnwg//chB7u2wA/B3CK9tqsGlsT22tikWTZRGWtxTJVqAulw8v7+/BnS+NB13cta4FF7dU5GSgRKzzG+n7rm2x4PUjg2Hnfd2CGWgsN6JzSH4PV5vbK1smaor0Ydfxp5cvwh++ugxdwy5UmLVorjTn7aQiybx4BlUi7WO7/StnomvEjbUPvxn22iGHF9te/hibVzZKW24Egn4SqQt9Ph4mrRI/uWwhHF4OBrUSKgUDn4+n+yKNlEoWn1tUhXmVBTjUYw8JwLv/ikV46POL8fXffxASRPP02x3S690+AXY3l7fXLBsHJ7NNpvafjkfnkAPtvaMhewx+/8K5cHr5sH0HZ5cbUWnW4viAU/Z5/+mQE1tfOpDTbSRCCCHZLdYkNssyaCgzhj1fJ77OGSFjUt+oF3e+9DG2bzoDC6oKZYOln367A7e/sB9LaopiPse9nBjyPK0pNuD7F87FD/56KCRbRaUxNavrpirW+U73+yRqMp8bqQwB4yttu61uPPLaEQDAzStnSwESAZFW3ybzPEQL5r9rfTP67d6Qfsu2dc0AOrG7wyobJJQtbdOJovU1srGN3WNz44n/OyEF0Ygi8MT/ncCCKjPqp3BMscZaNSoGm85pgCACLOP/e0Am+mt9dvlV6f2jbswqn/x54DgBL+07FVK2AxntWJbJmn7pqMeHG8+dHZKZ6D8vbobD60vrcWQzr5fHC3tP4c4Xg8ae17dgQ+uMjAVKyPWNt6xqxOwyI+pKs6tuTLZMBTOS/GN38xh2ctgWVP9tvbgZpe7kb9Ewne/ZdLC76VmWiJhBEgzD3DL2v0cAvMMwzIsARADrAexN4bGRNEtGpy9WiqcTgw7cu+Og1OkAgHt3HMTcigKpI6RUslg4swgLZwIffTqCw32j0ntdsqRamrgMvPetz32IeZXyHal9PTYpYCDw+3e+tB91pXosrS9J6Pxkg1jnN9r3leuA/mXzCiycWQSAgVbFokivxiVLqsEw/gi+sgIt5leaw8qEXIf21uf87/fZlsq0nhMyPcUzqDLo8ITUNYGtNjycIK3UmPjaSrMOw04vnn67Q3otywBzKwoSqgv39diw5ZkPQ+5XrYrFU9ctzcm6J5cplSz0aqU0GAOMX/Onr1sqDUidXleEO1/cj27r+F6rWhWLyilsG5Qtq2EiycbByWyTzakrB0e9cPl43LCiAYC/jhtweKXJG2B85defv74Cs8qN4IXQlOWA/+86tTLn20iEEEKyX7RJ7Hhfd6x/NOIWnYGVk5GCpa8/uwGPvHYk5nNc7vX/8cI+3PbZObjvsoVwja2uG3F4sL/HhtOz9Lk52fOdqvfJ5OfKbqHCyLeLIq2+TdbxRCufdhcf1m/Z+tIB/HLjadjTMYyWGaa42qbZ0A+J1tfIxja2Xq3EsNMrBdEA/vKgn+Kkb7Sx1mP9o7j5dx+ElcG/jPXHMtFfs5i0k9qmKJYD3dawsn37C/vRWG5EgVaVNf1SjVKJn//jQMhY0s//cQQ/vmxhWo8jm+09ZZUCJICxsecX96Oh1JCxTIS9No9sBpQlNUV5P+GaqWBGkn98vIhf/ONISP33i38cwY8uaU36Z/XaPNj+XmfIZ21/r3Na3LPpoFUp8Z8vvx9SJ/7nywfw1HVLM3xk2SmeTBIFY/89OvYn4MXkHw7JtKl2+mKleBp0eHBlW03ICu3NKxsx5PDIfubE7TcS3Qe01+aR/f1em2dS3y/TYp3faN832nlrrjThx5e14uSwK2TfwSaLCfMrzWFlIhs7tGR6iVUGBUHEqRE3HnvzWEhd88zuTji8XMTXttUUS3XOI68dkVY3zLWYEjy+/Kp7cl2k8tJj8+DBnf5BsNYqE756zmxse2U8ynYq2wblQpYGqstjy9bUlYIg4vigMyTqfvPKRrAR2kmBlV+y25qtbcavg7Y1o3qKEEJINpNbMRlo5wdWTr5zfFD2ecgw8T3H5dpIRXo11CqFtG2VVsXijrXzMeykFVm5QK7cLKg2Z2T1baQ2OMP401vL9lusbjy48wieuu70mG3TbOmHROtrZGMb28vzYRklN69shI8XYr84hkhjrbH6Y5nor9UU6fH1lY1hGR9ibVMUS7c1Qp/cGiVDUAb6pXa3T3bcetRDdX1AT4Ry2WtzR3hF6kUa53N6uQwdUXplKpiR5Be7h5Ot/+ye5N9HXp6X/Swfn/ysFdPRwKj8vMTAKI33yYkZJCGK4rbgvzMMYxz7+aj8K0gmZTpaPFaKJ7WCDcsEsetQD06vK8KO/d2oNOvQXGmSUptP3H6j1KhJaB9Qi0kj2/GymLIzJWYssc5v4PtOzAhRVRi9A6pUsphXYcK3/7BX+p2mciNEUcSOA92oKtSHXJds7NCS6UWuDLbVmqFkWezY340yowZPv3U8bHXOoxvbMLNIh82rZkMQ/a97fo9/f+LyAm1YnTPZrWPyre7JdRaTFm21ZlyzvAEuDwe9Rokn/3Us5Drt7bIB73bgJ5ctBMMA1UW6KW0blK1ZGibuf1xbogtJM0x1eahsSl058do9tOtwyDO7plgPEcDDVy/Go/84Km1VNvF5H6jjTg67IIrAo2+E/i7VU4QQQrJZ8IpJ/zNRAR8vYE1LhTT+Eam/yjKI6zku9/prl9ei1+bGDSsaUKRTobpYjxGnF4V6FThOyNvt2fJFpJW2ANK++lZupf7bR/vRZCkAA2DLqtl4dvdJKcNdIOuXVsXCpFXh4asXh+3hHVyms6UfEm3cKJva2AElBg2e2d0Zst3GM7s7saalIq7XT2Y8NlbWhkyMvXUOO2UzPsSzTVE0lWad7HetMGtRoFVlzRijSavCrkM9UtagwNjB6XXz0n4s2aoyQrm0mDI3jlBbbJAtXzXF02PLCY4TcKDbim6rO2xuhZB4FepUIc9BwP8cTEUmHZNG/rPOmrU46Z81HZUaNbLj4KVZuk1gpsWTSQIAwDBMC4CnARSP/X0AwDWiKB5I0bGRBGVDtHisFE8To4Nbq0y4dEkNNj7+rnTMd69vQUtVAToGXdKDPbD9hiCICXWkFlSYcNe6FmkLCq2KxV3rWrCgIrFV4dki1vldUGHCfZe2omtkYkaIAjx89WIpjZ9WxeKHn2tFtVknvXd/UIRZa5UJn19ai28FrZIJ7BWoVLJZ2aEl08vEMthWa8YVp9fii4+9E7I62st1SJN/bp8AURSwp3M4bM+zRotRKr/BW/5MVr7VPbmu2qzDFafXhqz8u2t9C+ZXGHDXuhY8u7vD33D0cig2qLCwygSDbmoNx2zM0iDXTrhnQwse2tWOjkEX1eUysiV1ZaS9q59+uwNlRnXYM3vrxc3AOx043DcqXdOJAyfnNZbgz/v7pG3NqJ4iUyXwPDhueqzWIoRkVqwVk3L91Xs2tGBuRQHmWkwxn+MTX19bokORQYP7/74/pA/x1FsdGHZ6Q/rKJHmSvQgoUrmJd/Vtso5n4kr92hIdvnbe7JC+SnD52rq2GU/96xjuWt+CueUF2NXuDunP3n/FopD3z5Z+SLRxo2xpY0883jvWzpcCUJQscMfa+XH1jSY7Hhsra0Mmxt5SVX7mWQpw02capW0aAn3yeRb/ZG62jDEqGAaXLqkJuR+3rm2GIkuyQWaDBTPMuGt9S9i1bJ0xuSycyVBbLH8v1RZPLQNKLuA4AS981BX23aldQhIlioJsdgdRFJP+WV5B/rO8wtSzNxFgfoUBV7RNGAdf5x8HJ+HiDpIA8CiAW0RRfA0AGIY5D8CvACxP/mGRyciWaPFoAxYTo6BvOGcWnvrXsbAIXZ2qATf//oOwB3uiHSmdToWLWypQV6pHr80Di0mDBRUm6HSqlJ6DVIp2fnU6FeZWFOA7z+8NKQe3PvcRXrrpLPzm2tPRY/Wg2KDCb98+Dl4UpHMbfG1uOGeWVIkG3iOwV+DCmUVZ2aEl08vEMqhkWSlAAvCX2W2vHMB9ly3E5t9/AMA/AejjxbBVEQ/sbMefv74iqeU3H+ueXHaw1ya7Z+Ycy5n4t5ZygAGe+tcxXLO8AZ8OuwAGWFJVBK02kWZSqGzMuCPXTrj9hf14ZtOZcPl4qssjyIbUldH2rp5TURD2zN728gE8de1SlBZoUFdigNfLY8/JYZwcdkGvVuLuV/bjqqW1+LeWctSVLqV6ihBCSF4J9BXmfH0FDvbYcLjXjp++ehjDTm/cC0nUSgabzmmAIAJzLQVSMCIw3of4n6uXwOHl8eS/jkl9ZZIc2bAIKFXH0znsxENj7TiGAeZYCvDkv46F7ct932Wt0ChZuLwcvnvhfLTOMOOk1RVz3C9b+iGxxo2yoY09kZcTowagRDLZ8diOodCyAAAP7WrH4plFmFVuzMjYW6rKz0mrC4+8FvpdH3mtHW21/gwV2TLGKAB4/v3OsHHq7144P+3Hkq3UagU2tM5AQ6lBChprnWGGWq3I2DGlKgNKLjjQbcX2dzvCyiy1S0iitEplWAb4B3e1Y/tXzkz6Z8llm39wVzue2ZT8z5qOjvS78Ozu8HqhyWLEohrKHjxRIqP/hkCABACIovg6wzAUepJFsiVaPJqJUdBqBWQjdJVj7aqJk/PB4g1i0+lUWFpfkuRvkr0GHV7ZcnCwx47bxoInAud5+7sd0rmtKdLj0Y1t2N0xBKNagSK9WkrvGHiPHqtbWl2fjR1aMr0El8Ed+7tDtpkB/NtouMf2H/RHTM7HqEd+r8v+UTdmlSe3LE+3uifbBK/04gQxYp0GAM++1xH2LLp7fQs+t2jykffZmHEnUjvB5eNxZkNpho6KxCPStVOwgGts7+pKszakDnR4fVhaVgKOE/Dy/m7cEbTSJ7gNQPUUIYSQdEnn9qAsy4BhgG8991HIMzSeicsTgw4pCyMA3Lxytuxz+P1PR/Drfx7D1rXNsLu9Kfke01W2LAJKxfFYXV7ctmYeDvXYIIjAk/86hkuX1GDbKwdCVlPqVCza6kLbafGM+2VTPySXxo2mco0nOx57yuqUXUnbbXVK4xPpPoepKj+DDg+uW16PQadX2irmuuX1GHJ40FBmzJqy4vD48IUz6nCkzy4d5xfOqIPD48vocWUbtVqBtrriTB+GJBfmRFLF5vbKzq1Qu4Qkqn/UIzu2PjDqSfpnTcw2D/jvWaeXT/pnBUtnXySTrC75esHqonpBTiJBEscYhrkD/i03AOCLAI5FewHDMI8DWAugTxTFlrGfFQN4BkAdgBMArhBFcTixwyZysiVaPJqJUdAsw+Abz0xY/fjKATz+5dOl1wRPzstF7z989WLUlxjRZ8/vyi0egiBCr1Zg86rZEET/g6zb6oZWxeJo/6jsKvseqxsLqkS8erA35LwG0jsG74NZYc6eskRIsNoSHe5cOx8HxwaaXv6oC9csq0WTpQDbN50BHy/C7vLhk1571teTZOrknhWR6rRuqxvXLG8IW4l/x4v70WSZfOR9tmXcifZ8oPKf/YLbeIFgCAULnNtYBobx14ETB1hnfW4BBEHEgW6rFCABhLcBprK1ECGEEBKvqazEn+yA5mQnTeReJ9eHEMXx5+rT1y2NeTwkftk24RXreOIto4Ig4sSAE9/70z7pPrhj7Xz84o0jca2mjGfcL5v6Ibk0GTGVMjfZ8ViNQiG7kvapazNXn6Sq/OhUCjh9fNjWp1pV5rIPyCnQqNAx6Az5md3tmxbbNuSyXJgTSRWtUoltr7wf1t+ndglJlFGrxI3nNmDAMR7MduO5DTBOIctuJBaTFrUlOqxtrZICMl7+qAsWU+ru2WzLUpZKOpV8vZDJ9kU2S6SEXwdgG4A/jv39n2M/i+Y3AB4G8FTQz74LYKcoij9iGOa7Y3+/LYHjIBHUlRjw8NWLpf3zFAywoNqcdXuLT1z9LdcJOTXikv4ePDk/MbK7SK/GqWFX2HdeOceSd5WbnOAOZ3mBFscHR6UVL4EI9Gd2d+LrKxvx01cPh7zW7RPg9nKorSiQjZjf/l4n/uOieTjUa4eCAWaXG9Fcmbn95cj0JQgiOocc6LV54PByqC02oL50vJMuCCIO9zhw2x/3hpT97e914oJ5FiyqKcJHn47g1IgLz+4+ic0rG0MmEu/Z0JJ19SSZmkCdFhwB7fbxuHZ5LX7w10+k6+6v0xgc6rHJPoumOoGcLath5DoCgefDbWvmTan859LAZy4LrOi6d8dBXNlWg2d2d2JtaxX+0d6PZQ0l+PGlrXjz6CBuWNEgBcB870/7sHBmIbqt8gO+gTYAIYQQkg6TXaU9lQHNSEGGOpUSgiCGvD64TaNXK1FbokPHoH9c4vk9J7FlVSMe2Bm62vvptzuk7zLooJVZyZRtE17RjkcQROz6pDeucakTgw4pQALwl527X/kY15/dgEdeOyL9XqTVlJFW+dcU6XGsfzSkTZ7pfkiuTUZMpcxNdjzW4eVk2+mOsYyYmZKKfqzDw2P7e51h28osqcmu7QA8vPwq5kg/J9khV+ZEUmHQ4ZVd/U/tEpIoXYSgtUg/n4qaIj2+vrJR2iYnME5bU5S6gLRsy1KWShGzgjiSnxUkG0x1bDruIImxbA+bEzk4URTfYBimbsKP1wM4b+z/nwTwOihIImkmu39eOnm9PPaesqLH5kZ5gQar55fi1Y8HpH/Xqlhox/bbCJ3ICo/svmZZLRze8Ejk2WVG1JXmV+U2UaSV0oGU8sGrDxQsg2FnaONIq2JRVaRDc6UZH/dY8cuNp2HY4UOxQYUX3j+J2RaTtO+qVsXip5cvysqOLMlvgiBid+cAeJ5Br82DYoMK9+44gA2La6TBlROD4wESwPjqi+vPbsCAw4PZKEBzpQkOrw/DTi+efrtD6pizDDC3ooDKdp7ptblRpFdj45m1UkDM6vmluO7sWXjo84thMWmwoMIEpZKVyobcgFi+ZM+R6wgEng8LqgonXf5zbeAzlwVWdFUVarF5+wdS1oiLmi1AQwlOWT1oqy3Cb98+jo1n1uLpt/1ZU/rsblSadbLlO9AGIIQQQtIh3lXaEwe5WAaTHtCcGGQYaBc++saxkDaLXJvmgasWQRAAm8sHg1aJYoMSf/76ChwbGMW+Lqv0rAX8z9XKPGk3Zot0bRkR76BqtOPpHHKgvXc0rnGpaFuoBdOqWGk1ZeAYBx0eqBUsCnUqPLNpGXw8j2KDBjVF+rDMoNnQJo81GZFtwdZTLXOTGY+tKTbIrqStKc6/iV0vz8tut+HLsuADlmFQqFeirtSAobEx0hGnByxD/dtslwtzIqlQXaTDNctqQwI5t6xqRHWRLtOHRnKMjxdl6z+Oj3PP+wR0DjulAAnA30a4/YX9WFJTlLKAhWzLUpZKtSV6fPP82dCrVXB4OBi0Snzz/NmYmcIglExJJFg5kphBEgzDvAwg4p0giuK6+A8ZAGARRbF77P97AFiifPYmAJsAoKamJsGPmX5yIRrK6+Xxwt5TuDNoX+y71rUAAF79eEDaB35WuR6//OISVJi1aK40S3vCT4zsri7S49sTUqRvf68Tp9UUodua/o5WOsus3PV+YGd7yAoEt8+/13xbTTHu2dASEp139/oWLKkqxPFBB473O3FsYBTP7j6JYacXd61rxt8Pdoe8963PfYh5ldlTlkjyZHNde3LEgRP9Ltz50vj+rNvWNeOFDzoxv7IAgggc7rWHrJ4GxgeaAqs+lEoWS6qKcPf6Ftzx4n488toRKQhrrsWUya9IJilaubWYtLi8rRrP7PavVCnWq1BfasBtz+9Fx6DL/+xZ34INrTOgVitCykZwBHO+TCBH6gi4fPyUno+50O7INlOpb1mWgdPLY21rlRQgsXZhFd46NujfZujvXfjaebOx82A3LllSjcfePIbyAi1qivSybYDTqouk9hUhkWRzG4GQSKjcZqd4VmnLBSv84HMLpIUAAfEOaLIsg9XzLCgv0OCN9v6QPkNwm2Vim6ap3Ighhw/bXj4Q0jZcWluK2mI9rC6ftAghWe1GKreh0rFlRCIBv9GOp9fmkSangPGxmaV1xRDE0OwOke6DxTMLpZ8HT84HjnFioE/gd5bUFGe0TR6t3EabjKgrMWRdsPVUytxkr0FtsfxK2nRs7ZDuIJUinRpOny0smKhQp07ZZ8qJVddqVSxEMNjdMeyfbBkAGsoM0Kqo35TN8n1sIlq51SoVss+gC+ZFnHIjRJZKAdn6TznJRBKTbSOk6p6NtMVHPm7LY1QrwItMyALorRc3o0CTXVtcJUMiwcqRxJNJ4icyPwsETUyp9SSKosgwTLQAjEcBPAoAbW1tyQ9ZyjO5EA2195RVCpAA/Md350v78dR1S3HpkpqQoIh5lYVhr68rMeCXG5fA7uLh8HAoMajQVG7E3i4bAKDSrMWVbTW45ol3M9LRSmeZjXS9g4ObA4NOSiWLDQur0FhuhN3thUapxOCoFx+esuKnrx7C7g5rSMrQO186gF9uPC0kw0e2lSWSPNlc1/aMeKQACcBfDre+dACPf7kN73eO4HfvnMA1yxsws0iH+y5txeNvHsNrh/0BV221xSGrPrRaJT63qApNFiN6rO6wICySW6KV27oSA1pmmKFV+vd4bSo3YtM5s3DLBXOgVjD4+etHceeL+9FQakBbXXHel41UpSvOhXZHtplqfWsxaaFg/duNndVUjv95vR3XLG+Ay8vhnvUL8PTbx/CFM+uxp2NYGlxnWUZqA+Rj+Saplc1tBEIioXKbneJZpS03yfH9P+3DpnMa8ODO8a0I4m3HCIIYtsI+0OcNZFxqKDOGtWluOGcWfvrqodC08O92oK7EAB8vYHF1If7w1WXoGnYl7blK5TZcqreuS3RSLdLxyG2ZUKRX4/igE1947J2Q8r56niXsPrj30lac1VCKv8hMzh/rH8W9Ow7i1tVzcaTPvzjgjU/6sKKpHId6bKgq1MHL8xlrk0crt9H6INk+oSkmeAdOtl+UiZW0QGYyAjq82bHdRqy6luOBUyPusMmW6sL8W32bT3ptbjSVG3HDObPg8nDQa5T41RtH82ZsIlq57R/1yNY/gcy6hMSL4wGPj0dTeYGUfcDp8YGbZMKfybYRUiUTW3xkSp/di+f3dOK+yxZKdeKT/zqGWaUG1JVl+uiSK1Kw8pKaoqQGSRQCqBZF8REAYBjmXQBl8AdKTGabjF6GYSpFUexmGKYSQN8k3oPIyNSejYlEH/dE6Dj02z34t9YZMd+/3KiBzcXh23/YGxIFhXc6sLfLhkuWVEuR9YH3ntjR4jgBB7qt6Lb6U1A3V5qyZqJg4rHNsxTgpNUle24jXe/AqZ846ORPK2/GCx914fYX3h8/f2ub4eX85y+wRcEjrx3BiNMn7dvKMP5UNRWm/IusI5kRb73RZ5dv7Hs5Eb975wQuXVKD7wRFRW5b1wy7x4eNy+qxvKEEAML2Zl04swgLZ6bla0qyud7JRyzLwFKgwebtH+DzbVX47IIZ6LH6t2v57dvH8fmltfj9ux3otY2vSFQq2YyUjXQITjW9trUKChY4vbZ4yh2BbNsrOl9Eqx/rSgxY3lCCpvICnBpx4cbzGnHXKwekDCnb1jVDowRWzC7FoMOLfV1Wqb7J1/JNCCEkuwU/1+ZYCrBjy4qxrTfD+wCRJhqbLAURV9kH3luvVsLL8ygxaKT3jbTl2PVnN0gZl4DwNo0oCNKq/SK9Gpe3VeOLZ9Zj94khPPlWB4ad3oyves83wdey0qwFLwB99tSucE9WwG9tsSGsTXx5WzVuf2Ff2NjUXzavCMlWUGHyf9c9nw7DYtJiaV1JyHcddHhwZVton3fr2mY8/34nzmgow85DvTitpghttWbs7rBKr8uGNnm0wKh3jg9mXbD1VNI1T7ZfFE8ZTEXGh1RthRLtdV6eD8uGsnllY9Ztt+HwcrLBHM0zKANpsGzbLmdGoRZfPW8WhLHbiWGAr543a1pshUXjMiRZBAiwmLVQKxQQRBElBjUKtAoIEGK/OEF1JQY8/uXTwPGQtvZQKpD0bdWCZSowMRNcHIcvnFGHI312qU3zhTPq4OK4TB9a0skFK7t9Apze+L9rPEES3wFwVdDf1QDaABgAPAHgubg/ze8lAF8C8KOx/76Y4OtJBOnaszFYotHHlREe3JYIk+9y779lVaOUbtPtE/D8nk5876J56Bx0orJQi38eHs8sAYR2MDhOGAsSCI0Y27CwKuMTlm43hz0nh3Fy2AW9WolHXvsE58+fEbI1SfC5jXS951cWYPmsEtlBpwPd1rCHwbZXDuC+yxZi8+8/kDJRaFUsqgvD9zSbU2FCTXFmG74k9yVSb1Sa5esMt4/HNcsbpMEiYDzLxG+vP0NajZCK1RGJBjxkc72Tz5w+HsvqizFvRhG+/MR7UjaJta3VMKgVuGV1E4waVaYPMy0CqaZ9vIDbnt+btPshE+2OfBdP/Tjo8IWkzAteEfvc7k5ccXptSNshWn1DAVyEEEImSubER/BWAcGBmssaSmSfN5EG+udVmMJW2QPhbf3NKxvxzO5O3LZmHtY0V0ScgFSwCGmzTGzTFBnUuO2P+1CkV2PjmbVhk3pPv92RVavec4lc+QLGr2WRXh02DpGqgJRYE0vx3gv1peFt4qbygqiT3w1lxri2nFAr2LCFQL944wg2nTMLd7/ysfS6//rcAvSPHpYCZ7OhTR5t+4psnNSbSrrmyfaL4imDkx3TiFZ+p7IVSqT3jXWsJo0qrCw/uKsdz3zlzKjfI90EUZQN5hASTS+SxzKRiSQWp0d+MizSz/MJjcuQZNGrlRga9cLO83B5eQw6vFCxQKlRk/TP4jgBdjcPHyfC4+NhczNQKRhwnAC1OjVbQkynbLgmjQofn7KHtWnqSvIva4ZcsLJWxaKmOP46MJ4gCbUoip8G/f1NURQHAQwyDBP1kxiG+T2A8wCUMgxzEsBW+IMjnmUY5noAHQCuiPtoSVSBSZBnNp0ZMtidSAMl0QGRRFPkLZhhxgNXLYKPE6W0PSoFg9YZ4/t3Bg/Ylxk1ePzNo2HpUgLZDlqrTLh0SQ2u/c17spklgNAOhlyQwO0v7EdjuRELZ6Y3xVswjhPwj6P98HEiIPojXi9ZMhO//uexsHPb/I0VGHH6MOjwoLxAg59/YQn0GiUsBRopgCFSBy4QWBKsSK+GUa3AzStnQ8EABrUCd61vgUmrCktVQwNBJBmi1Rt1JQZ0DjnQa/PA4eUws1CP+y5rxXeCssfcta4Fs0qNeP/TYdnGzeCoR0pNKvc5gXtoMpOCkwl4iFTvNM8ogJcTaXIyRfwrCWbjxKADD161GCwD7O0aXxU0q8yIM2qKY75Pvkwidw47pQAJIPy+m8xkSDr2ip5uAvVjkV4tZXI6OeTA/q4ROLw89Gol7vvfgyGpRC1mDX58WSu6hl2oKdHjp68eiqudQwFcJNlEUQTHcRBFEQxD9QAhuSiZEx+CIGJf1wiO9Y/iu2vm4Uc7DsLL+SeZhl1eNFeaUV9qCJt0+9XGNtz+4j54ORGXt1WjqdyfKrquxBDSD5Vr6weyRATaOJEmIFfNLceCqkLpO00cS1EqGOlZHJgoC2RZdHM8vn/RPPzgLwfzclA1lSKVr/mVBdLPLllSnbZxiOCJpUDGkKbyAoiiv500cauWSPeC3FicSasMK3tttWYoWRY79nej0qxDoV4ZczzN6Q3fSmNta5UUIBF43YM7D+Only/CkMODEoMGAvz3VKbb5pG2KJm4la5Bq0SBVpGWSb1I455TSdccq18U6TNjTW5OdluSWHV5rK1Q7t1xMCSTwr07DmJuRUHUAIpYx+r08SF9HAB4fs9JOH3ZlUmiUKfGM7tDM0k8s7sTD1y5OLMHlkWycbscNyegUK+EglFAhIgyowa8yMPNJX8FfLZJxnwQIQDAcSIKdOH3EcclP0jskz47FCwDnU4BThBh0irh5QV80mfHgurCpH8eML2yrox6edk2Tcs1bRk+suSrL5XPSlJfmtwgiZARVVEUbw76a9QdTERR/HyEf1oVx+dOWbalfko1uf02ExnQmMyAiFwEVpFejX67R/a8sywDm4vDHUErHO9e3yL9u9yA/Q8/twBrWjwYcfmjP5/fc1JqqN5wzqywleTbXj6An1y2EDf//oOwDoZckIDbJ6DH6s5oCur2fhuGHD5se/lASLDHTSsbce0Tu6Xfayo34p3jw3jktXZct7weg87QNIDVhfqoZb7SrAt5GFSatbhmWS2+9rv3Q873hfMr8EHXSMi5CgwKHe61A0De308kPpOpZyNFbg45PDg2MIr23tGQlUM/vXwhnvv3ZRh2euH2CagvNaC+xIARtxebV82GMNZWe37PSQw7vagYS6cn9zmBeyjeVdYTTSbQSq7eaSo3Yl+XfdLHQaLjOAF7T1rR3jcKQQSGHV5UFmqlCNraEh2+u2Ye/u/4oLSKS67cxjuJnAvtjWj33aEe+6TbDqneK3q6Ceyl+tXzZuNQjw0aJQutSoErHn1buj53rp2HGYV6vN85DLNWBbWTxff+uG+8/RC0jRYQ2s4JLqtqBYuHJqzmyobAUZK7REHAl379Fp65+TPQavNvoIGQ6SDeiY9YbR+5sYVvnt8ErZLFD3ccCmlzrJ5nCRvHuO/SVihYBrc+95HUdrt7/QKoFIz0eZHaNgwzvipsaV2J7ARkcIBE4HgnHsOWVY3Se1Watdh4Zi2e2d2Jta1VaO+z486L50+LNN7JFKl8PXntUulngXMeLJ5VfpNpjwcmtudvWYH3O0fw/T+Nt6fuvbQV9//tk7gmASONxT189WLc/Dt/xs62WjOuWV6PN9r7IYjAwW4bZpUb0VQeORMqID+gr2BDz1GlWYsr22rwxcfekT7/e2vmwunjMbNIj3mVJikgKVsIgoh+uzesnyUIYkqPM9q451TTNUfqF8XaxiNacMVkV73GqsujBWfs6RwaG2/0Ssd73fJ6DDk8ABDxfWMda6VZixvPbcCAY/x9bzy3IevqUZ8g4NbzG1Fo0EiTLU1leviE/J9sj1c2rsbWqVm097px50vj4+p3rWtG68z83yZFEET837F+KeiME0SMuDxYMbs8q+p9kv3UagYdQ14c6XdAEIEjfaOYVWZAUYU66Z8lQgTHC3B7BSmThJL1/zxVplPWFXeEwER3lgUmJgPHCTg57AmZY7lrfQu4mfFnJYknSOIdhmG+Iorir4J/yDDMvwN4dxLHnRbZmPop1eQawffuOIiqQi2cXj5mR3EykaATO2yBSfcvPfGu7Hk/0G2VAiQCn3HHi/vRZPEPyE+cgCzSq9Fjc4dMmG5Z1QjF2FdwRejEsCywfdMZKC/QoqZoPHCgzKhBbYkOHYMu6fe1KlaaVM2UEScnBUgA48Eej30pNLpr0zmz8K0/fITvXzgXZQVaDDq9AIAXPuxCiUGNv+zvxnfGVgrLDSQ1V5pwz4YW6Rxf3ha+SuN7f9qHhTMLQ65tYFAoON1cvt9PJLbJ1rORIje1KgXcVg9cPh43rGjA83tOotvqxn3/ewi3XDAnbJsAlYIJSxtVXaTDPIsJx/pH4fLx2LJqNp7d7X8fYPwemuyk4GQCrSYGJyXjOEh0h3ptODnsCikf379wLm7+jD+oprHciB/tOBiSjlau3MYTFDPZ+yDdgRWR7juVgs26VSDTWaVZiyuX1khpyT2cgIYyrTSAXqRXw+ricNcre0LqvuBtyALbaP3wLwdxyZJqKMbSI8qtiAzeqgPIjsBRktsYRWpSYxJC0iOeiY942j5yYwv//ffD2HROQ1ib45lNZ4b97nee3yv9bqVZi+uW12N3x1DIBOPsMqNs20YUx1eFxZv1Su54H9jZjp9cthBaFYtLllTjmd2dYSnYf3blInA80GfP3kDZbBKpfDm9XMi1nHhda0t00KkUeOvoQNxBOfGOV7AsA0GEFCAROKbbnt8rZTANPla5ScBIY2l//voKaZsYrVKBt44NhvVfb17ZiE1P75Hea+KKRrkB/cUzC0POUXDGE8A/jsYwgMvH41CvHe199pBJ+WyQqSyv0bIk1BYbUFuiw9rWKunfXv6oK6F0zXJibeMRLeh8sqteY9Xl0epGnUoBp48PO16tShH1fWMdqygCDm/4+2bbLhYmrQKDKgVsLk6auFOrFDBpqY0bkI2rsW1OXgqQAPzl8s6XDuCpa5dm7JjS5dNhB4YcPhwfcEjtpLpSAz4ddqC2hMZ0SPxcbgEjTl/Iz0acPrjcyQ8SEwXA5RPCyq2Ywni06ZQNd3apQTYwcVYC2RVyxd5TVilAAhir/1/cj4ZSA9rqYmeQBuILkvgmgBcYhrkawPtjPzsNgAbAhoSPOk2yMfVTqk1srFaatbjp3Fn4dMgFh4fDoMOLT4cdESMJ440EnZh6/Jcbl+Dfn34/4qT7428eRXmBBgOjHpj1qrBI+aZyI5xeHjv2d4f9u1yqxQd2tuP/3XAGfvnFJSg2qGUbZlWFOiycWSTbWb5rfQseea1dmhy7Z0MLmivHt/vIhCGHV/bcDzt90vfTqliI8Hd4dWolvjn2nVbPL8WPLmlF/6gHZUY1fvi5FqgUChRolXBzPH7yv+043DeKX25cgkKtGkaNEk9ftxQejoPLJ0a85sGrbiZ2uqfD/URim2w9O3Ggp7ZEh//63AJ0DDph0ikxq9QAhYLFDzbMh0KhwIjTh0K9Csvqi/Ha4QHpc26/aC7uu2whXB4Oeo0ST/7rGO67dCH+/klf2Cqwp97qwLDTCxHyK5PinRSUC3iIFWg1MThJq2IhQP7eo8nJ5Bh2+rDzYA/uu2wh1CxgHstwVGzU4NF/HMX/vD4aMjkcqdza3N6QMvarN45ib5ct5DpN5j7wenns+XQYnUNO6NVK/PTVQ7ju7FkpDTyLFDEtl8I306tApjNeAB5946g0CdNUbkRTeQFuWNEAlYJBv92DH/z1EC5qtuCy02swYPegrECDuRUG2D2iVFaNGjYkuPHRN47JrogMpCUPTABkQ+AoIYSQzIln4iOetk+ksQVhwmSY2ydEDEIO/O6N5zaELRDQqhSYVWoMadu01ZqxedUc9NndePLapbC6vDjWPypt0xGtXTPo8IRMmgaCtQ0aBX56+UKIIjC3Yg7MOhXu2dACjVKBP+75FMcHHPjGM9NnYc5URSpfNcXj7dTn95zEllWN0jhQbYkOX1/ZiCuDsmrFE5STyHhFpPKqmJDgL9IkYKTX94+6cWZDKRrKjPhnez+2v+dP4V+gVaCqUI+OQQcKtErUluhCtpcRRUgZFeTSqM8pM+LeS1ulRQQKFtJqwdoSLWqLjeizu1FXasATbx7HW8eHQibls8FUs7xGCziP9m+DDk9YsNPmlY0YcniwqLoI31o9R8pGqGCAb62eg9ri+PbvjrRN41S28Zjsqtd46vJIwRkODy+V1UCduP29TiypKYr6vnUlBjx89eKwjBmBY+2zeyK+b30W9TvdXhHFRhUgsOiFiPICDcAIcHuzLJojg7JxNXav3ROyJWVg/KbX7snYMaXLoN0LH8ejqbxA2r7I6fFh0O5FbUmmj47kEjfPo6FMh7kVJvSOBb95OR/cfPKzD3gEAQpGRFttkZS1Z8TpgTfFWXumTTZchoFWxYbVC/m4LWqPzY1l9cX48tn1GB4rS0+8eRy9Nnfc7xEzSEIUxT4AyxmGWQmgeezHfxZFcdfkDjs9sjH1U6pNbKzeeG4DeDDSauXAFg6RIgktJq1s1HRwI1ou9fiPL2vFs/9+Jk6NuGHSKfFc0Krt1ioTLl0SmvZv68XNwDv+NNCtVSZ8/oxaXPub92T/PVKqRR8v4LMtleA4AT//4mIoGFaqUFlWhEGtxFtHB6BXK/H4m0dDGuHPvteBn1y2EL12DypNWiyYYc54evvaEr3stgHVhTpp5UF5gRZOL4f/uGgeTo048ePLFmLY4UFtiQH7To7AzYlQKVj8bKc/AGT1/FJce9YsfOWcWSgrUMPL8dj1SR+e3e1/73s2tOD0uqKIHZzg6LrDvfZpdz+R2GLVs5EGJ4LL1pDDg64RN254crdUB3xvzVzoNSzMWi2UClZKtLVxeS0A4LXDA2gqN0KlVEjb7dSW6LBtXctYSjAR3zi/EU/+yz8B/sDOdjx57VKUFWhgd3MRgxziWdkvF/AQK9BKqWSxYWEVGsuN6LG6xyYgmYSDLUj8FIyIr547GxqVApzAg2UY+HgRGpbBV8+dhed2fwo3x+Mbqxrx6YgLz+85KRsQ2GP1hmwPtXVtM9Tvd4Zcp3hXXAbKVqlRgx6bC++dGIYg+p+zXz1nNh5/8yjmVhSkrE6NFDF9YtCRdatAprM+uxtrW6vw4K52LKsvxheX1eGjkyMQRODto/347oVz8ZtrT0e/3QteEPGn90/C7vHhirYaPLu7E9csb4DTy6HEqMOJAVvYisgtqxox6uFDJoECEwDZEjhKcpvA8+C4+NJSE0KyTzwTH/H0AfRqhdS/DQQcaFUsJsYOaFUsKs3+cYzglLAKBjCoFag0a1FoUONgjy0k7fvj/zqOJTVFUttm1OPDwKhXyjbx0K52fPWc2Xj+/U4pEBUAOgYdOGV1we7mMKNQh/kV/j27T4248creLqxtrYKCBe5cOx+PvXkU9aUGfNxtx33/exBXttXg27vGM9ttW9eM53Z30kKCBEQqX/WlBtSXGqR2aoVJi9XzK9A/6oZOpZACJIDEgnImtu8j9fciTfy21RaHLFq5/4pFqCnS41j/aMh7xDMhLQgCrmyrwTO7O3Hd8nqcHHaizKiB3cPhvksXos/uwZE+O/7rLwcx7PRKgSAAwjKBPXz1YjRXmvA/X1iCAo0SaiWLmmI9PD4eGqUCX3riXRTp1bi8rRrrF1dj1TwLfvXmsbgm5dNlMosPAqJlDgEQdWsLtYINWwD04K52PLPpTJwccYZlI9yyqhEnR5wxz1u0bRodXk425XU823jIBck0V5piBmJNZRLby/Oy2234eB51JQb8cuMSKa2/QatEgVYhva+XE0PO3/1XLIrrfYHs2cJSp2FgtwlQsAxEEeAFEbwgoNCUfxNLkzXZcplKNcU6bD6/EWoFC0EQYdYpsfn8RpQZNRk7pnThIYAXw+d/eNAWMSQxJQYVfByLsbhkAEChTgWVMvmZdFQsYNSqQn5m1KqQ6ik6r5fH3lNW9Njc0rxgvFsy5BKbyweVUoHDffaQTB02ly/2i3PMrFI9Niypwp4O/zi7YgDYsKQK9aXxBbkC8WWSAACMBUVkdWBEsGxM/ZRqExvBdaUGbHp6T0jjf9vL/lRTckESNUV6fH1lY1ijvqZovEDJbYdxctiFb/9hb0gn4qm3/JOTN5wzS5rEDD6Gn1y2EDf//gPZlPO/+McR3L2+Be+eGMbcigKsnl+KtQtnSpGgL3/0qZRqsdSogd3F4zvPfyBNlN50XiNuePL98Ub55QvBMAxsLh/MehXmVxRg4+Py24FkgiCIGBz1hER2ffP82dCqlWgZC+AIDDb9dX8PfvzqIdx6fiPMOiX4sdUFLVUm7O6w4lC3Ddctr8dHnw7jjFmlIcEn29Y142D3CDaeWYun3+7A7S/sxzNfOTNqxykQXQeEp7zM9/uJxBatno2V8jS4bH3xsXdD6hSnj8f/He3Dv7VW4Wj/iPQwbygz4NY1TfjcaTPBAFApGHz/wrkYcXFoshix9aX9UoaYLasa8dVzGvCLN46h2+qGCBENZUZwnCAb5DDPYsI/j/RJnf1ImXfkAh6aK2MHWimVLBbOLJJWxUQ6DpqcTI5CvRqfDtvw3O5OXHdWAxxuDzheQKFOiVKjBpeeNhPFBhU+HXLg5Y+6cM2y2rDOs9z2UNte8W+DFHydYrU35O6FLasa8dxYwNrmlY34xRtHcOvquSkPPJOLmM7GVSDTmcWklVYDXtQ6Azf97n2pfXPHv83H0X4ntgbts7ptXTOqirR4/WAPvvXZeeizuVFTrEfXsANnN1rA8cB58yrg8nAw6ZTgRRHfei60zbasoQTNlaa46zNCCCH5K540tIn2ATavbMQzuztx6wVzoGDHA4UDbY7mSjMevnox2ntHQ7bZvHt9C246rwFdMpOWV51eA6eXA8syqCsxYNehXrh9AqrMOhi0StQUzsIj//C3r2559kPM37ICR/pHwz4jsHDg/r99EjJ5d6jHhi+f1QCry4fH3zyKu9a3oM/mwaMbT8OJQQf67F78z+v+99/d8YF0HmghQXSxyleg/dlt9U+SLq0rwTvHB2MGQATK5MRAmwpTcJCCfP909TwLWAb4wecWSFtuBP5teUNJyKKVmiJ9WMBC4D1itacLdWo8uKsdW1Y1wsP7MwkU6dW4ZlltSJkMZLsLBIIACNkeQqdicWrYhZt/Nz4G9t0182B1+mAxacEwwANXLobDy6Fj0IF7dxyS+hy+FKwEnazJLD4IiJY5hGUQdWuLSFn0Aj+PlOkgVpBEtO1D6ksMYdd5y6pGqXy43Rz2dVvRY/OgwqTBgkoztFr/cL0giLJlLtYY5lRSihfp1HD6bGHnsFCnhiCI6Ld7w66bIIjoHHZGzehSpFODYRwhn8UwkN43WnBLOkW6TbLo9sm4yZbLVNKqGHC8ALdXkLZJUbL+n+c7jofsFt5PfPn0DB8ZyTVqBTDqFgCMjwl5OAEGTSqCJBTwch44+dB7VsWmLmDB6+Xxwt5T0tYMgYzzG1pn5F2ghE8QZDPM+FKcqSMTPJwIjy/8u3q5+DNAxR0kkWum46D/xEbw4Kj8Fg4DDvlUU53DTjw0lnY50CF4aFc72mqLIIj+6HxOEKV9r4HI22FsOqcBD+48ApeXkz0GEcC9ly4IS31fadbiyrYaKbijrdaMr6yYBR/vL9QMA1y6pAZ3v3IAuzus0KrG95l3cwLmWArwk1cPSe/ZVG6E1c1JjYVANGVgS49sWO3x6bADp6yesGNsnWEKmag4MejArc99iPsubYFRo8buseio//57F7567mz8/eMeqJUMtqyag8oiHbRKFt9Y1YRRL4fn95zE1pcO4PEvt+HtY0PS6ukhpyeujtN0vJ9IbNHKxcSBiyK9Gh2DDuw81AuTVgWLSYOaYkPYqp8bz21AsUGDmcV6mHUqPP3WCelev2vdfBzrd+JIUPrLulID/rDnZNj2CYF66JIl1XjszWPShHWkIIcuqxOnRsLvQ7nMOxMDHiZjssEWJD52N4+tLx3Az7+4BCPO8b0Zh51eqJUshhwetPfZUVdqwM2fmY2HXzuC+TNMmFmolxrGkVLA2t0clEo2ZKXLrza24fYX90lBOsH1Y6Q9rgNbHAS2O3B7OZQXmNJ7ojC99uTLBXUlBixvKEHLDDO8nIBtFzdjwOEByzBQK1k8t7szbJuhrRc3o6miCF8OWjXYUGpEaYEa582zSMGqcm2gB3a2Y/X8CiyqSd3ez4QQQnJLrDS0ifQBgldpL6gqBADMqzSFtTnqS4zSpG/gdXe8uB+PfakN149lnAv8/IGd7XjwqsUo1qvx1tEBGDVK2D0cvvfHfSHPu+vPqpfGI3ptHuw9aZUm/QLvdfsL+/HUtUtx1ek1mJh9dmjUgwqTGted1QC7i4MgiHBzAupKDHB7BXx3zTywTOjgGy0kiC1S+YoUxDC/siDmgo1Amv+JQTBzKkyoKfaXsUgT649ubMOmp3ejSK/GpnMa0GQpQHOlCYIIvNcxJAVrsCyDY/2jsu/xl80rYrannT7/JHx1kR7fHmubyY2nBW+F1md3Q8EyIQE8Xk4ANP6xrtXNFbCYtOgYdKBYr8Knw05UFekg8gJODrsAQFo48OCudjzzlTNTc1EngWUZlBWo8ZPLFsLh5WBQK1GgU8TVB4mWOYQBEzXQIVKQl8WkRdeIM2qmg2iibR9i1Khkx01Xz6+A283h1UO9ONLvH+M40mdHt9WN1XMt0GqVU9pKZrIpxR1ePuL2INGCQZxeXjZjRiCgyc3JT8x4OAGdQ46owS3pplIwABgwDMAyDFgF9Y2DZeMW526viGFn+Ph/5TTYJmXY4ZW994aD0wEQEgdOAAYcHHycCKeHR5/dA5WCgUmniv3iBPGCCJdPkMZrA2P8/MS9+ZJo7ymrFCAB+OuuO1/cj4ZSA9rqilP2uZkgQoTFrIVaoYAgiigxqFGgVUBE/tWJPoGXzabjE+KPbszbIIlcGfRPdjqx4EbwR5+OhDX+a0t0KC/Q4q2jA7J7803sENx07iy83zkSElEfnCki0nYYi2cWYvumM6BiWbTVmnHN8oaQAX0RwG3P78NDn18ccoyXLKkOSX1308pG9MgEENy0shHXPuHvyDq8PB5+7UhY5H20TBb3XbYQm3//gfSzTK726A36fsHH+NS1S1FXFvR7Njeayo0o0GnwQeewlHr7tjXzcKx/FP+5fj7cXhFdIy5UmLR4YOcn2N1h9a8+XTsfnYNOeHwCXvywS5rIm/W5BQAQs+OUK/cTSa9o5SJ44KLSrMXXzpuF/lEPPjpphYIBSgxqzCgaxewyo1QHXLKoEnMqC+Bw83B4eRzps+MLZ9TByx3H3i4bCvUaHO0f7zgHVs1sOncWDvXY8czuTlyypBqPjNUHgggoWIQF9MgFOUS7D+Uy7yRDMoItiLw+uwdunwCTVjlW3vx73Jl0Cvh4ESMuf2pTu8uHCrN/m6lPeuwwqJVSwzhSCtjKsa1ZJq50+d6F81BqVKPYoAmpHyMN4gU6r26ffx/hmcX6jAWeTZs9+XKE3cPhaP8otr/XibWtVdCpWLTONMPt43Hr6jkYcXIQVSzMOiW+vLwBHk7EI6/7VyNuPLM2ZI/lLasapeDWSG2g/lE3ZpXTtSeEEBKfePsAAW6fAJePl9pGcm2OPrv86wbs4Qs/ivRq2Nw+bN7+gfS8C144AUDKTjni8m+15/ByKDWqQwINf/XGUeztsmHA4cGsMmNIPyPwngxYeHkRxwdGsffTEVxxeg12d/n74j/acRBbVjWhtkQnGyhLEhNp0u3PX18Rc8FGpECb4Em7SGVzd8cQ3D4B3VY3Htx5BLUlOtxywRzc9vzekM9b01wRc1uPaO3pwOS808NJGSTmWApQt74FRq0SHYMOjHp4PL/nJBhmPBDE7vKFBfCwLIMvnVWH//jTfilAtkKlg1bFY3jUix/uOBTSFrxmWS3u3fEJnL7sWQp/YtCBf3/6/bC+1l/imGSNls2ma8SJK9tqQtrDwVk0ogV5OT2cbKYDs04d8/tUmnWy2xdXmLXos7tlJzD7R92wubzoGgnPlnOw14bFtcUZ2UraEWGxm9PLYdgpRAwGmVNRIJsxI5DRhRf8P5u40pMT/IFskQIz0h0kwbKAjxehYEWIIiCI4lgW37QeRlbLxi3OHT4ev/jHkZAAqV/84wh+dElrRo4nnWpK9Pjm+bOhV6tCMlQHZwYnJB4urwgFy0CnU4ATRJi0Snh5Aa4UBBt5BAH2CVs/2F0+eFOY6aAnQt3Va3On7DMzRa9WYtTNwQf//IiPF8a2RMy/cACOx5Tr//w7K0GyfdA/Vjr6qWquNOHnX1wMBcNiyOFDiVENTuDxxcfekf08nUoBp48PaZzfsXY+Htl5OKyhGsgUoWDkt2GoLTH4I4XdHK5ZVo8jQfvf3PSZ2RBFBvdesgAaJYtffnEJ7G5/ivvKQi0+7irG/KrCsVSCCvziH0fCJi4f+1IbAPlMFs/s7sT3LpqHw712GNWKkMwXgd9xBe39l+nVHjaPL+QmDuzZGsj4EUi9NzDqxX+snY8+mxOlRjXqSgyYYzGCZYBjfXaUGDV4fo9/P/JTVhe+ecEc/P1AN8pM+rB0p4Egku/9aR8WziyM6x7J9vuJpFakgK7gchH8O3q1UhowvGZZLUY9nFS3rJ5fimvPmoWBUQ/67B78+kunweURoFQA73eMYOfBHlyzvAF6tRLlJg3uvHg+Xj88AKNGge3v+ff9DWSd+eaEsh3ouAb2PF41txwLqgpj1qkDDo/8wGyEzDsku80wa7F6fim8nIgRpz8V84sfnMSFCyqgV6tgKdDArFdBr2bh8AiYV1mAYoMqpGEcLQVspJUucysKwgZxIg3iieL4/y+aWYjTZhYl9OyPtY9etuzpmir5+v1ODDqwr8uKfx3xB0Ee6rHBzQl48YNPcclpNei3e1FWoIZWqcE9f/4YXk7EpnNm4dYL5qCsQIOjfXbcsKJBaksEZy0B/BNLRrUCN6+cDcA/eEsrXgkhhEQT6Zkr1zec7LankV6nUjJhE48mjQLb3+2QAh5MOiXsbh9+8NfQhRNuTsBT/zqG+69YhIZSA7wcD25sjlijYvGtz87BoW47LAVa+PjQNPs6lb9T8YXH3kFTuRE3njcbs8qM4EURrx/qw+E+fxa7B3YexoNXLYbLx9NCgimKNOnWP+qOa8FGpECbwKRdpDLGTxiLX9taJQVIVJq1uGRJNQ712FBVqEOlWSs7ER5PWyqQ7UIUgG9/dg50agW2vXIAXk7E5W3VqCnWA6IH3zx/Nkxaf4YFUQQ4QYDDy4cF8BhUSnztvNloLDfiRzsOSu/jDwJYiM4hJ7RKFhUmHXyCiIevXowZhdnT5gssArrhnFkhgUvBk6yR6p5ogQ52lw/P7A7NJPHM7k6cNWsxAP+41up5Fjyz6Ux0W92oNOvQXGkCyzJw+Liwc71lVSOcPi7q8QDAPEsBbvpMY1gK73kWE07ZXLjx3AYMOMYXpN14bgMqTFp0DDmx82BPWKa45hn+DIOZ2Eq6ttgg+5k1xQaMejjZf6swa8ELiJgxAwCULCO7P7qSZWB1Rw7MSDdBAAo0Cng4fyYJBctAr1IgDzOUT5rFNPm6MFUcHg43nTsLes14oEBN4SyMetJfhtLNqFag2KiBWsFKE9taFQtjCrZIIHmOAUoNSng5BgrWB61KAZOWBVLQtOX5CIFzExtmSVRp8o8Vf+HMegw7fCg2qPDbt4/DYsqe9lGyiAKgVDBQsv75EZWCBcOIEPPwWTbq4WQzgSVS/+d1kEQ6TGWQPhnpqaJ9viCI6Lf5cOdL4430beuasay+GK8dHgj7PIeHD0tL9+gbR7G2tUoaXA8c54IqM375xSWoKtKhyWLCrc/JR/UfGRwNiYpuqzWjocyAo/3+VDqnrC7MryxAn92NIacPw04vNi6vhdMjwOHhMDDqxU3nzsJ/7zwiBTo0lRvBMP4gi8pCLf552J82GhjfriM4tfT3L5wLm5uTVpW8/FEXDGNRU5le7cFxApQsCwULCKL/2DaeWYtndneiyqyD283hpX3duPOl8RUCi6rNqCkyYtTLQa1UoFCnxIYl1Rj1cNiyag4OdlvxxL86MOz04q71LXj2vY6QMhacvjHTkb4kN8QK6BIEEccHHDjYbUN7nx3P7vandbtnQwse2tWO6iI9fvLqIVx/dgOK9SrUlxrw3T/ulQZyGkqNcHh8mFNhwJKaIlQX6WExaTBgF/Du8SHUlRrwxid9+PU/j0lBPhOzzgTK9n2XLZQGMxotxrgCJACgqlAv29mvMutSdl5J6sy3FOD8+TNw7W/eQ5FejVsvmI1/P282+u0elBaoUWhQ4tSwG1qVFs++14m3jg/h7vUtaAxaTR9tS5TASpfgFUFuH4/BUS/qSkOPZeIgXiADSnvfKLasmo05lgKc3VAacf87uec8xwlR99FLdRBmOsl9fwB58/0m8geZKfC5JTPx+JtHcc3yBgiCgLNnl+BI7yiKjWr02two1Klxx9r5cPn8K6/KjGp4OB41JQa80d6HjWfWSgGRgTZdpVmLa5bV4mu/ez8k8IdWmBBCCIkk0TbFZLdpDH5doN87s0iPoVEvvnF+U8hWGv+1YQG+cEYdvvOHj9BUbsSmc2ZBq1LiwasW4+Fd7egf9cLN8RBFEXesbUFzpQntfTYpDXeRXi1NWOrVCnRb3RAB3LWuGR932+Hw8vByArRGFv9x4TwU6FQ41GPDa4f6cN7cclx3dgMGRz146u0TWNtaBZePx5kNpVG/H4kt2mRwPAs2gl8fCG5QsIBOpYQgiLJl895LW3H/3z4JeR8FC+k9gjN0PfrGMfz08kX41uo5+PYf9kZtS3GcgAPd1rBJeADYd8oakrl12MXhv/9+WOonfOP8JnzcY4MgAieHnWipNoMXRNywogFvfNKH1c0V0GuUONhjw7O7T2JBlRE/uqQV/aMeFOpUeOLN43jr+BC+eX4TWIbBN4K+7z0bWlBl1mfFFo8zCrX4/Bm1YdvCVZr9ExWx6p5IgQ5eQZDNJBFYmSoIIl492Cv7vl5OlJ3k/9U1bbKZBBdUm7FyjgUsy+Ck1YVHXgvdvviR1/zbFzOAbPCFKAJKVsQXzqgLWVj2hTPqoBi7RJnY+ra+VP4z60sNEAQx4kKC98aysgQLzlonANCrGCxrKEG/3YOyAg1sLg8E+AMz5Cbda4rTP1arVgJysRl5uPh20mqK9Pj6ysawcpDJfmV5gWZspfT4z4w6FcqNmowdU7qMevxjUVtfGs/CvW1dMypoMQRJkEHNwMux8HLjmSM0ShZqZfLH2dQKFkatKvSe1aqgVqSujTLPYsT582bg35/eMz6Wuq4F8y35Ny/GsoDTw8PH83B5eQw6vFCxQD4mvCs1qKFkRcwN2tLR6fWiMI5MYAH0iJ+CqU5CTDU9VazP33vKKgVIBN77f14/gh9e0orm6kIAwKkhBwbsHnzcbUN5gQb/uXYeHF4xJOpyZELqG62KxaygDur8SjPmVcpH9Q87fSGdjK+cMxu9Vpf0Xv7sFQLu+99PpO/wwJULoQg6fya9Cjee24A7X/oYrVUmfP6MWlz3m/dCOlKXcTz6Rr2YYymQ9ncEILsdx13rWtA604Ttm87I6GoPQRDx5/3dIWkcv7dmLpw+HretmQudWoGPe23QqRX4zbVLYVQr0GV1QadWosvqwr07DuG65fU41s9LKbkVLDC/0oRvrpqN/955BHe+uB/3XbYQuzs+kD7X7RtP857pLBokN0QL6KorMYTUQ1ecVomfXbkIvXY3yowa/PqaJfh0xB0S0e308diyajZEMPiPP+2XskuoFJW4M6hRf9e6ZrAij1KDBl85ZxbUShZdw058Y1Uj9BqlbJYYtYLBk9cuhcWkkfafjUfErAEzzCk5pyS1Dg+M4s4X/cFl37toDlxeAV9+4l3p2v7syoUo1vsnm79ybgMA4I4X9+Plm88OeZ9IW6I4vJzs1gazywtg7rWjc9gJg1oplcPA6rchhwddI+6QDCj3X7Eo4kBl8HM+MAlw4JQNFpMmLAAueB+9yQZhxspOkW7R9qbOtj1Qk8Vi0qKh1Ainx4cbVsyCTqWAWsng8TePYu2CGSjQqDDs8oJlGbh8HIYdPNxeHkNOH1gGGHX7sHZhNX766ie4ZEk1HnvzGALV4OVt4dm3bn9hP5bUFOX8eSOEEJIakdoU87esgCBCNstctFX/0bLTrWmuwLzNK7C7Yxh3vDi+SKBGrcDXV87Gb9/uRLfVjf94YR82ndOApnIjPr+0Ft/6w0fS9gVfPW82zFol7G4OJ4dc8HEiTg47UVagkTJUXrOsFg4vjxc/7MJN584CAHg4Hpzgz1oX2Drjh5cswKDDjd5RDxQMcO1Z9fjZzsPSv29e2QglC+pPJ8lUJ4MDr793x8GQSfJH3zgmjZNNLJs1RXoYNIqQie9lDSV48cMu3Lp6btjWrff970F8e/Vc3LDC3394fs9JqS1VV2LAiUEHeqxueDge//nyAamsPHDVIhTr1XB4eDRZCvDoP47icN8o7lg7H797d7xNf9XpNeixusMm01890IMLF1TiurMbcHxgFE/96wTOm1uOb392DsoK1Nh3cgQ2Dw8FA1y5dCZWzrWg3+FBVVFByLZrt7+wH43lRiycWZSai5iAEYdPNjXy/IrFqC2JPQYRKdBBrWDlM0nMLgHgf997dxwM+fd7dxzE3IoCuH287LYYHh8fMZPg7DIj6kqNstsXX7e8HkMOT8QMC0tqimBQq2F3O0POjd3tQ32pv9yncutbuWAepZKN+pksy0RcSBAru4BGycDDiXjr2CAEETjaP4pZZQZolAxqi+Un3WuLMzPpPuTkoGD9mWbcPh4OjwCjlqZQAjqGnHhoV2hQ0EO72rF4ZlHGtnEURRGFeiUUjAIiRJQZNeBFHiKSv01AtnF4eew82I1fbjwtZHU8bf9FEqVgAaeXBzA+Run08tCpkx+4oGAZGDQKqBUKCKKIEoMaXp4PmRNMto97R8PmSu98aT8aygzS1sv5wsf5t5oOC57i8q9O1GtYePnQsWu9WgG9Jv5yS0/4KZhqJoippk07MejA428eDUnL9vibRzG3ogANZcawfXYqzVpct7webx8bBOBvtJ83txzffv4jqfN217pm/P1gN179eEAKQDi9vlg6zmgdVVHmHnP7+JAUeoU6FdQKEXWlBgyNPbhdXp+0f2iRTgVeBA6NRc4rGOCMhiIUGzR48KpFqDBr8YfdoRNDgf1G+0a9YBh/pokVTeVgGGCOpQA/efVQWOX356+vyPhqjxODDtz2/F5c1GzBZafXYGDUgwqTFt3DDnzcbce9Ow7hqtNr8O6xQVx62kz0iSIsJg26R5wAo8Ad/zYfx/pH8UHnIH5y+UIIgohhpw96tQLlBQX4weeaMeoRMHF+K5DmPdNZNEjuiJYKE4A0gfuN85vg8HLwcDxGnF70jLgwb4YZPA9YzDp80mPDK3u7ceGCStQU62HQKLF17TwUG/0pbk1aJe5aPx86lQpdwy4U6tUw6Yqwu2MIrx3qw4ULKsP2t3zqrQ4pUEKrYtFkKUC1WYe9p6zYf8qGSpMWRi2L4wOukI7/RNGyBpDc0z3ixufbqnDpaTVwenkMu3x46tqlsLp98Ph4uHwCvvfHj0IaioMOL04MOnC0fzRqWQH8K10ub/NnMwkMpGmULFQKBt/940c4o6EMChaYV2lCx5ADK2aXS+2CLz72btzthkA7o6nciGvPqpdSkx7ps+MLZ9TByx2XMim5feP76E0mCNPr5aNmp5iKyWbditTOevLapVMKMs1mNUV6fPDpCP7jT/txUbMFl59eg4FRL756biN8vID+US+KdCroVQqcsrpRVqDG3w504y8HerH14mY0WQzwcpC23zhrVhFKjGosayjBwKgXP75sobQHO5A/541kD4HnwXH5n9aWkHwW/Nx2+fiwZ26RXo33O0fw/T/tw8QJyuDt+AKTxu8cH0SFSQu7x4cTA04c7R+VsjI0lRdgXqUJtcV6dA47cWLQgZPDTjSVG7GmpTJsNXggS5JercCtn52DPR3D+PrK2TBpVXjxw5O47ix/hgiNkkV1oQY+ARh1cxAB3Hp+IzqH3agu0qN7xImta5vBCSIKtEoMjHpg1ilx/+WL0GV1oVivxpDDHdb3uOr0Gty74xMpi90TXz6d+tMJihUoIzcxG09bMvD6qkItrnz07Yjt7eCMFIIgwsuJIRPfTRYTvn/RPPg4UQqGOHByBJe3zYRPEAEGeOOT8S1Xnn67A0MOD44NjErBFiaNArdfNB8He+wwqBVwenls2f6uFPR8w4oGmHRKHOt3YMuqJpQY1eB5AUaNCidHXHjiy20Y9fAYGvXC6eOw6dwGHO4dxZH+USgY4Kvn+reuVClYdI/423EP7mzH4b5RbL24Gb/+v2MhwTyB+8btE9BjdYcFgKdSpIn4QWeEoAKnf7vLaP0ZABHHYr18hEwSY+m7Bx0e2X8fcnjQUGLAN8+fDb16PF3/N8+fjfoSg5RJUC7Qoa7UCJ1KIU0WBzAMoFUp0Gf3yAZfOL0cBJFFoV4ZMkY64vTA5RtvSwmCCLvbhxGnT8qMEk9fKtp9w3ECXvioKywoYcPCKiiVbNTPZFkGBVoVnF4eBVqV9PNY2QU4zh8oMTGTBMcBncNO6XWB8xsczJ3OrRZdPkCnZsFAAQXrg0apgDj2c+J3yuqUvX+7rc6MBUlo1SwMGjWGHf59tRgGKDOowefffGAYn8Bj1bzKkNXx29Y1gxP4TB8ayTE+Hig3q9A9PF52ys0quL3J/yyVkkWhNnRro0KVIqXj8BPnSgH/86YnaOvlfOHieOw5MYDHv3w6BsaeuX96vxO1JfmZSVbJMtIWegwDKCY2ymK9PgXHNG1MNRPEVCPlrS4vLl0SurXEDz+3AEMOj7/hWKBBbYkOHYP+zA3XLKuF0xea4u3nX1iEH1+6EL1jndC/HejCF86sx6sf+7fj2PbyATx17VL8ZUK0faBxWl6gxfHBUdz8uw+k9/zdV04HxzPotXlgMWnw3Yvm4Lrf+B/UbbVmXLOsDkf6/UEQRqsCMwq1IZketl7cjBc/7ELHoAur55diVpkBR8a25zjaP4qzG8txadtMnOh3odCgxqdDTmwaawjUlujw1XNnY9vLB2QHUwLXqGPQEdJwy8Te5oMOD7atmw+tUol3jg1KWxRsW9eMwz0juLKtBsf7bdi4rA4fnhyBRsnC5vKiutiAkbGG6On1hVg0swg9Vn8K+Vf3+ydKfv6FRTCo1Rj1uFFk0OL2C2fjnr8ekVJKVhVqcemSKtozlcRlYirMG86aidv/bT567R6wDINbVjWgQKcLSeH+w88tgEbB4r0TQ1KnqaxAgzsungtBYNFnd0OnUqDCrEG/3YM+uxdeXsCi6kLs2N+FMpMBJwZGMa/SDINaiS3nN+Hnr4cPSmw6pwEP7vSX7Z9evgi8wOGFj06FbTO0Y183jg068J8XN0OjVKDCHH6fR8oaQHJPfZkORq0FyrG5fS8nAAwws1iLT3pGUW7UhGw9tfWlA/jJZQuxr8sqlafgQaKw9y81oKm8AE3lRnz1vNk41GODlxfw638exaVLarDtlfFn0B1r56NzyIG6UmPC7YbA79+0shHH+sNXLt20shH//vQeAP4gocA+epMJwtx7yioFSASOKzg7xWRNJetWpPPl9MrvhZsPKzk7h514cOdhbFs3H7PK9BAEBoAIThDxtwOn8Ov/+xTfXFmPFU0VKDGq4ONFrFlQifWLq/HPwz1QMExI/ffAVYvQNWLHHUHBL1vXNgPvdmBvly1vzhshhJDkmPjc3rJqdtgz15+Z6LDsSuzAZFbwVnxywc5b1zbjF28cQcegC7UlOnx9ZSMe2tWOta1V0KlY3HbhXBzuseOGFQ14fs9JAICb4/HdNXOgVirg4wW83zGM58b60Hetm49LT6vBLc+Nb8EhiIBayWDH/m4smFmIhlIjyowqaBQsLGYdvLwAm9OLzds/kMYSvrtmnj+QQxhFQ5kBy+qLcah3FJcsqYbLx2P5rBL8cuNpsLv9ixPsbg5H+0Yxq9xI/eo4xNsuDF6AE/yaQHaRQHBNfWlolpLjAw50jbikchM8BiTX3pbLKvDih5244vQ6HOgbAeBfCX/TebNx7/8eQsegC221Ztx24Vx0W93QqhS46bwGaJUKtPcO49E3jklZTb6+/QPpeM16FW6/aB4MGiW+NbZNzI3nzcaIywdRBIwaJbycAJVCwKibw4hagR/99aAU6BAYIwtsV6lgGdSXGfHRpyNgGGDE6cWN582GCBHH+h341uq5+MFfDqLb6g7ZblWrYlFhTl+7L9pEfLFeg5NDrpDfZxigSO9PjR8tK0GvzS0bdBAYY9h1qCdkMdmT/zomZZJQK9iI/+7y8VApFVJguoIB6koNcPl4KZOgXKADAHgCQTYT9lb3+ATUlxhwzbLasKCruhIDrC4v1EoFbC4OHh8Pm5uBWqmAXqWIeQ6jTSTFutcOdFtlgxIay41orjRH/EyWZSK+b6xAB4USspkkFEpEvKa9NndY9tJUb7WoUgBWJwcfz8Hp4dHPeKBi/QGCxM+oVobNL2xZ1ShtbZ0JejXAT4gJULKAJnOJMdNGrVDgf14PzczzP68fwY8vW5jZAyM5p0ADuCesd+B5/8+TTasEvGDhCcpsoFayKd3aKDBXOrFtYUnFF8wwBSvi7MZyvB30zD27sRxKNv8ix1gG4ITx7yWKACeKSKSJQEESUzCZSYiJk/Gr51lCAhASmbTmBeD59zulxr1Jp4Td7ZNWqQa2lnjk9XZ0DLows0iPbwWlC/x8WxX67T7c+NJ4Q/PX1yyBWqnAg1ctQlmBBs+91wmwAgZHPei3e6FgGAw4XLjmsd3Sa+67tAWPbjwNQw4fyk1qOD083j0xIq12XTTTjF98cQl6rR7UlurRZ3OFNaSCUwD+4h9HcOvquTjca8fZs0twuMce9vuVhTrc9sd92LxqtvRvALC2tUoKkAAgrfAIdAoBoLZEB6NWibeODsBi8gd9RErVl6qBDkEQcWrYja0vfRwWzLH1pQP45cbT8NDOw7hpZRMOdFnRWF4Aq9OLpooCCKKA5iojhkd5nBz2B6JYHU58+w8f4YErF+LStpkYHPVCEHywmDU4NexGy8wSvHarBSKUFBhBEjbi8En31bXLZuKC5oqxhHUiRBFYWFOEvx3oCbnvGAgoLdDAoFGBFwSolQpUmFXwcYy/vjNpYdSw6LMLqCs14u8Hj+DVjwdwxWmVuOS0GvTaPCgv0OCJ/zsqZba5Y+18dI14Qga7WirN2L7pDJQaNDjYY0O31RuWOmvrSwfw+Jfb8GGnFTf+v/fTdp+TzHF4BCgVDDRSK8dfYg2asX2JAVzaNhNnN5bh128eR7fVDV4U8dzusUF4X/R0tCzLoHmGCV86qy4k89Hnz6jFg2ODX4G9kHttbvTZPagpNsTcK3liWQz8voplZFcu/c/VSwBAyvrQOrY9zGSCMCNFVPdOMaJ6Klm3IrWzaorTvzdvugw6PLj1/EaUmXRwcwL8WQ0ZmHUKrG6pwsKaUlhMGoiMAFEAHvj7J9jdYYVWxeLu9S14ZsI2LD5OlAIkAj/b9soB3HfZQnznDx/lzXkjhBCSHBOf28/uPoktqxpDJvdaZpihVSpkV2LLTWbdsXY+Hn3jaNizKNBHX9tahYd2tUuru4v0anh5AU3lRsyfYcaCKhMK9Wr8bX8XRpxqDDod0KsVaCwvwHfXzIFKyULBsjg14sSvv3QaTg27pS04Lm+rxqVtM1GoU8Hh5WAxGbHvpBU2D4eXP+rCbWvm4oErF8Hu4VBVqMPRPju8vICXP+rC9WfV48bPzMbJYRfUShZDDg9sLg5qpT8zY+egEzqVAv/1l49x25p51K+IQyLbOAZvs/b4m0fx31csgpvjcWLAgf/6y0EMO71Sfw5A2GuDF8tEGqcLzioQKC8XLajGkV47ntt9Emolg9vWzMOx/lF8a/Vc/HHPp1jdXInrnxwfD7trXQs8PC/dI5csqcbOgz24//KFYFkGerUCXcNO1JToYXX58OBViwFGRM+IG4uqC+Hw8jBoFfj9Pzrw1vEhfG/NXJwYcODmzzTC4fGN7TXvwT3rF8Dm9oFlGXh4AR2nrAAADydgVqUJNqcXd778sRQktPXi+TCoFThwyo6qIp0UjNRcmb7tJKNNxHsmzmaO8Y79PFpWApYBvndhEwr1Gin7QlO5HhUmLYadXlx3VgMCY+UMg7G/+38giGLYYrOta5shiCK8vIBCnQJnzSoN2dPaxfFRAx38HyTKBliAESGIwM6D4YEZq+dXgAEDl0/A8QFH6OvASOdQbluDWNumxOqDBcZfgwUyjQCIeN0KtKqI25VEC15pKDOC5wCHJ3T2zeHhwHOASaeUPb8mrXLKWZwT5faKmFGogcsL9EJEeYEGOpX/55mSiYV90Ti8vOz4xIJr2jJ2TCwLuCZcIy8vwqDK/+fyiNOH76+ZA5NeI2VpWVBpDNs+nZBYeEA2K1IqcpIoWP/4nt09/u5aFRv2+cmk1yhw6wVN0mJsBQPcekETDHkYTaWAAoCIttqikExVLPLvuwoiMCIT3FiYQHAjBUlMgdwkxONfPg1DDi8+7j4Vtp+3IIjY9UlvyH6HC6rNWDnHMqmGncvnC2/cX9yMpnIj9nbZ/KtAX9qPp69bij67ByoFE9II/uyCKmmPdgC4qNkCh4fHiJOHy8tj0OHFZ1sqoGEZWN08eEGEy8eDFwRc1GzBHz/sxrL6Yrh8Ir4TlMnhvktbQjoVejUw4hSgUSng5QSY9Wp8a3UTRlz+xvHOgz343kXzcLjXDp2KRZlBjSN9dgDAW0cHUWJQhwRRPLCzHb/ceJr/nIoI+U4Mg7CG/kXNFpzTWIo5FiPKTBpwPI9rHh8PJLn30lbc/7dP0tbgFgQR+7pGcHRgNGxlzDdWNWLY5UWJQYVvf3Ye+uxunFZbhAMnB3FafRl8vD8d5NF+F5QMg9ICJXhBxIKZRXjquqXotflTLh7pteLRNzuw9eJm/P6dDhzuG8Vd61qwYeEMGrghCesOmjy9ZnkNeu0ceqxulBnVUCuBk8M+rG6pQlOlGZ1DbpwackCv8T+IDBp/6iy9WgFRZOHy+eD08PigYxgzCrX4oGMIXVYXbl09BzecPRu9dg8YhsGHHYP4/e4ubFvXDKNahcoiAxxuH3506QJ89KlVGrzUqlksrSvB+53D+PYf9uJHl7TKdva9nCgN5AZ+lsr7nGSWy8ejrlSNfhsPEUC5yV8eP+x0wmLSwOH14sSAAxUmNX525SL02NyoMGkx12KUgnCK9GqMejjsOtQLg1oJi0mDmuLQwYg+myckiO/7F87Fd9fMQ3vfKBrLjfjRDv8KsMBeyKvnWfDw1YvR3juKUqMGJ4edeHb3yZC9koPfP9DOcHjDU127fQI4QcQjVy+GxaRFa1B7YzJ711ZGCEgIZKeYrKlk3YoU7FFfakB9qSEle/NmmkmrAG/WgAGDgVEOFpMC9aVa9Ns9ABjUFGvh9ok4NeLF7HI9vrNmnj+ozKQB4M86cu0Tu6X3c3g42fOvYIC/jE1I5MN5I9lDFEVwHAdRFMGkcoSDECJJ1uSJIIjot3ukLQYCK/H/uq8bT127FENOLyrNOigY4NE3jsiuxJabzLr7lY9DFi0A/nbW3IoC3HJBExbNNKOp3IBjAw7ZbTbuung+WDBYUleGAq0Sc5UMvBwPJatA14gLChEYdXjwm3+dwM2facTfD3aHTFB/fMqOk3CiplgvrWA2aRS4c+18ODw8Pum349ndJ7Ggyojrzp6FAp0H917aCqvLizePDECvVqC6UI9ivQaCKOI/X9ovrfC/5YImXHV6DW559kNUbToTC6oK6bkaxWS2UPjdDWfgstNq8E2ZAIhbnv0Q87esgNXlw6EeW0gGiQd3tWPLqka4fDyaygv8q8o4ASdHnOi1eeDwcjBrVdh1qAc3f2Y2ZhTqoFayODnshMvH42vnzYJGweBQjw2lRjXMOiUuOW0mys1qPPalNvTbvdAoGTz25jHcunquNDncZDFg+axiHO6xo8Ksw4M7D+Pi1irs7hiGkmXRUGZAWYESZq0JPTY3ivQqPPl/x3Bh6wwA/jEtl49Ht9WN5qoCHO4ZBcMAVpcPXl5An82NYr0KYBg8/Fo7msqNaCovgFatxMOfXwwAaO/z9zUOdtukjKV3rJ2PsgJ1WstntIl4s14Fhzd8JXogi0i0rAQKFhDBYHfHsH9sdQBoKDOA+f/svXecXFd5//8+t06f7UUr7apLVrVluWKMscHYxMhgG2wgdsAQxwnE/kIogQDGhtCbCSS0QChJqAGMf8ShmQABgwu4yFWSra7tZfpt5/fHnZmd2Z1draQts/J9v14rzdz6nDPnnnvKcz6PAE1RfP+CyrnS0nb8xWYl1b/SdW+9cyffeN1ZRAyFwyMuf9w/UFz05SsdtCWUaR0dwF+1eGQ0Pyk9yxrDjOUt/vbCNRiaSr+UtMQM/vbCNaTyFrYnsR13kgKF5Y2HB6kZliRTmDbvj+aw0JkM1+z7dSRD0/5ulutNaU9nMlQzXElHsT9pS49lTSFWtcbpTfnvK8uxsaWHW5B88959Vc4X37x3H9t7GhnL1+7PzFXIwERYMJaTlBxVwH8/JsILU7efiDLjXJHKO7xyexcv2txFf7E/ftfDB0kXFi7knuv6cuuVaIqYpC5xMtLdFGLvYJbBtFWez9EVQXdjoBgZcGwIJquvmCp4NY8+MTQNchNeZY4H4TkUdZASmqIa5yVaqt5D3sL5wM0dimRJQwjPU1AVm5Duq/lzEipJ5G1JtobDad6eeVoDJ4kTYOIkxJKGEPfsGeY9PxyPAVUZz3vfUIaneifLZa9ujbG85dgbdiFN49Y7H6hq3N/9+GHe+WcbODKapymq85XfPI0rJX+2ZQm7+9JVjeD+VHXD98/PXc4TR9JVoSo+86rTeKI3VyXd/MXrtnHNWT1csL6djmSI7943vmrxnZeuw3YlquKvMPekZDTn8q4f7ixLab7z0vV0JMLETb/RvKEjXpYu7GkO8/ZL1rPWHG9U64rkI1du4dBIjoip8cVf7SZnVXuZVabj4g0tvPrsFQxnbNriBqriD/bkLJfBtIWuUHbyyNseb//eQ5MGbeaqwV1q3P7gj/vKNn7y6q30pfJ87bfPcOP5q0lGdLKWx0jOpjFi8JX/281lW/x495bjMpqzaYuHSIRUdvVnaE+EyNsuf/GV8XJ3+9Vb+cK1LRwezfOOF5/CB3/8GO+54xFWtp6YbHrAs5POZJjtPUluPH81Dx/MoCiCL/9mD0/2pbl1x0Z+v3uApc1RVrbE6EyYnNHTgKH5sTcjukpn0iBvw8GRvK98kh0ha/te3Vef1c1YzuXJ3iwdSZOoqXLv00NctKGDF2zsoG/M4pqzekgX/FiYlcoSt7xkI+0Jg7t2HiGVt8nbHk1RvWZnPzvFJPNcdawDFhbLddk7IDE1gRAKvWM2K1oitCfMciiode0hsrbg/3b7g2B7+tO8dFsXAI/3pnntc5bzuq/eV15V1t0U4eBIjrOWN6NpCn2pAn/cN8iXX7Mdy5HkLJeIofCeO3bWjAH85m//ibtufi6WI6tWyFQO8k502im1M3YeGq1Zrle2RFndHq+ZB6V44DMt35uXJLnt8k3lkBsT1SmOl+NR3SpxNGePY0nfYkFTQAiFTFHjcOehUbZ0xWmOmYzlXPYN+fXokqRKKufSm/LLcyKscnjERlcFW7oSPHRwDIBoSKuZ/0sbwydd3gXUB9LzeP3X7ue7N12EpgVdzYCAuabW5MlnXnUaK5pj9KVm7jRR6zo3XbiGux45zKWbO7nuK+OLDD7+8q1cdXrtldhTTYKrFarwnckQ153Tw1srzr/pwjX84E8HueH8VVWqE2vbYkgheP+PH+WyLV2oCpzSmcDUBI8cHCFjueXFJ//40s0cGcvz1xesIWu5DGdtdFWhPaHTHAsxlnd47ppmpCfoSxeIh3RURfCc1S1sXZYEKXj79x4qt+Nu27GRIyMZlrckqpQp3vj8NfSl8nzjnn184qdP8tGrtpK3PX7+eB8HR/LPGkWJ43HOma5dOHWYNZf3TqEW+l8PHOCBfSO88/sPT2pbAzRHDd5zx/j41vtfuolsweED//14eZHPjeevrgqVVyqLrz6rh8ZoiAZLJxEyuH/vcFXomFJ5uO6cFSiK4F1/dgoSODCcZU9/hqaIwYfueowbn7ca2xl3Btjek+Qvn7sS23XIWy5jiuCKbcv4xWNH+KsLVtGfKrCkIYzjSTRF4bTuBkYzBXYeSRHRNTYsSeBKj+WtMT75ilOJhTRcz2N3X4b2ZAhVCATw9d89wwXr23jzC9fSl8rzhV/t5vJTu1jWGJ23NuB0E/Fjeaem08GmLr/vMZ1DjaEojGarV0iPZm0GUxZC8dU1Jg6UO0Wng4F0oabzwEC6QFvMrDl5UrAklmPx6rOWs6tCKeLVZy0nVQzUnp1iZf0Xrj2d9oTBSFZiux6epPi/JGwo2HmHWEjHq0hqLKRT8vJoipg8cWTyOHIpLMnUeR+qqcxQcljY2Jng/S/dNEmpw1caEVP+bqoiaoZZCBXDg9ROi09DWOOZAYsRt0C24PqL+RRYHtfYP5yv6XwxmrdZ2RKb11CLnoRYSKOQHh93joW0BZtEm28ljZmwui2M7Tbx293jDkWn9TSxqiW8IPaAryRhFarrDMvxMPSpw9KcLBRsyVDWqZrPueUlG+lInHyToQFzy1RPy1w8RZ4HYzm76upjORtT16c+6QQxNRjKOOzqH61yhmxPzNktF4y4qQIqw5nxd1kyPHd5u5AUXI+ILjhnZXNZTWcsV6Dgzty9Jxi5OkEqJyHue2Zo2njevWOFmo3mbd2Nx+UkMZixqhqJz1/bwkWndJbVIXyVhM1EDJXf7R6gLR7ia6/bTt6SDGVsP9zHhhZ+8uiAb4/lkcnl+Nprzyx3CBoiKvfs6uPfXnum7x2aCIGsVmK4/eqtXLKpi/5UgeZYCIGHNcFT8+9euIabvvkQr3vOCrpbwqSyXlm2rDmm8qErttA7VqAjaaIokrzlx99OFDt8t/98XE76g1dsJmqqvPHC1YSLK3dLndy+0QxXbltGqhjPbyhroytwx4P7yxOrn3nVaVxzVg/nr2svO5J0Jgw+/crTqjpnc9HgfmYww1OHh7n+vNX0jRUnjHMF2uIh/uLclURDGi0xjeGsixB+LKYrTu+mJWpwZMyPr9iRCDGas7Fdj0RI5a3ffZA3XLCaV27v4iu/28/atpjfOPpW9aDVf/5h7wnLpgc8O1nXGuMNz1+NqiikLZeGkMZNF63h0z9/iu/ct483XLiWZ/rTNEZ1DE0QM3VcJKoiaIzqRQlJm5aYwVDG4syVvirKWM5mLOcPYLYnTBRcljSYxIym8sRf/1iGd3z/YT7x8q3YjsNlW5byiu1+SINbf7STb/7l2bz523/io1dtJaQrfOU3T3Prjo3cUjEYduuOjQylC/PasQ5YWEKaxtImjYExD9vziJkK6YLDWM4hGdbQFEFbIkzeFoCgMaJz54MHOHtlIzdesJq+VIHWuMG//PlpJEwNy4W+VAHXk/zu6X7OWdGKIuCyrUsZzTlVMYPffsl6vv/AAZ67to284/LOF59SjgncO1aYNMDx6V88xW07NtCeDLPz0BjDGatKhcoP7ZHk4y8/lb/7zvjExcdffuqsDooYhspLtyxhZUu0PNhdqU5xvBxP6I9KjtXZYzHjOB47D2fIWw4t8RC66v/2qYKDJ11GchZNER1VCAazkqYI9DSF2TeUw/UMmqImpi644fxVvPE//1gO1fK+yzeVQ25UD4AeH5bl8tChUY6M5SeppgUEAAg1KA8BAfPFxMmTxojBU71p3vgffzymFae1JmE+/Yun+NhVW/noTx6vWt17cDjLfXsH+fy1pzOcsWmNGbjS49BInra4yYdftpFIyGA4W6AxYnJ4JMfmpUlihkpDVGdZY5S+VIGvvOYMnhlIc3C0wLfu28frnrOCZEjnTS9Yh6oIvvir3bz+/FV87bd7eP/lm/CAnOXSGDXQFMnp3Y0cSeVpj4cwNEnWkoR0lXTexfZcsgWb1phJxNTRNYUnD48Q1pvIWR6ZgsMDQ1m2LE3gepJMwaUtbvLJV2xlV78fRuNHD+7n+vNW89vdA/zthatZ1hBCUVQyBYee5ihvumg1n/z5LrIFh5Cu4Hos+MTVfHE8K5s9z19I87GrtvJUX6qscFDZLqzVX5tKFUsIePn2pWUHidL2kgOFqlB2kCjte9cPHuGG81eWt122pYvP/cqP494U0VndHqM/VeB9l2/iG/c8zVXbu1ndFiNTcDl7ZTPrOuIIIXjrxetY3hLhyd40/akCDRHf4aYpaqCrgmRYRxGSt71oPfGQxlje4QvXns7B4SwrWmOMZG06kyZZ2yVTcGhLmFx9xrLyOFo8pJEuOAymLboawghVZfOSJP/0i6f4z3tt/v6S9WTyBTIFB10VxMMaS5siJEIag2mLjV1JNiyJ40l/1WQirPPhK7fQO5anP12YNyWx6Sbi//DMADc+bzWGpuB5kmRY48bnrUYV/qReeyJUM26471Dj97smqi8UXBcNpeZAeSlWdWcixF8/byUDmfHJ+L9+3ko6EiFMQ2BoOllrPA0NYR1VUyhYkogx+boltYGC49V0vijYHrYDjRENyxHl1ZyGqmA74woXEyltz9seT/eP8eXXnMFA8b7ff2Afp3VPHWoDfMWMWuPPJeULRRE0RHRuON8PTaIIaIjoft+zM8GX/mIbqlDLaXWly8bOJPfvG55yXNt1pR9PXlXK47mW65UdWvLWFCs9LUlzxODQcK4qDUJAc8Q44f7ksWLooAsYrNgWNeAYFqTOKieizDhXpHIeIxMclUayNqn8XKw3nxmuC7FwtXR/LKw8K5QkMrbLkqRaNZ+Ts/Jk7GdB4gMWLQUbuhp09g2Nl9OuBp3U9EJJJ0Qq59HVYNCRCJefFVW4pHILV3fNFaYO9gRxH0WAfhJ6A4Q0QdSsTljU1AhpM2/rnoTZsnAcLZ53xqrductaxydHNdEr+zXnreCvimEvwB8gGc3a/OyxvnIDdFVrjI//9InyZM7tV5/KK7b3MJi2MDTBsuZ41SqR2y7fxEu2LiFfMrHYKJw0If+j8Qn5j1y5mYMjeTKWy+5+3yNrdZu/0vW5axu59+mxKm/+b/3lGahCoCqgCEHcUOgbzVOwXcbygqUNBm970Sn0FleR2q7NH54ZBnyv0GVLwuVQEx0JE4SH4wo8KWmOGtiuy+vPX8VPHh3gnBVNZArOeMiTAbj23B4G03bVSpjbLt/E0uTse8CmCzadjfGyI8vFG1q44fzVZAouuurnQSrnMZyxaIgYDKQLRE0NRYDtSjTFXxkdNhQ0RRAxDN76ovWENYXLT1vGV363n9efv6qcFhiXD/zYVVtPWDY94NnJ3pE0fSlrkuPB+166gawlGUhbbFqaREpJKu9LgUZMlajhx9/cW1z5rAiXA8NZspZbjuvbZHuAxPU0hvMurnT57v17aU1Eeaovxflrmvm31/oDETFD4Zt/8GO1lhx/SvXuF3+1m1su28itd+4E4AvXns5ozqYzGSYeUjg0kueDL9vMOypWGc1lxzpgYfF/cwuBSn/Koj1hYrkuLTEDz5PsH8rSEDH4094BPvmLpwnpCv/y6tPoS1nsLsamOzyisrYjQW/K4okjKe5+vI8L1rexsiXGHw8Mcd/e8dWL15+7gs/9ag+HR/P822+f5obzV/G+Ox+tWpH2rfv21WwHnLOiCRDl9/dEFSrwB7Eu3dTBKZ1zG17CMNRZVxs6ntAfz1Z2Hh5lLGsRD+s8cSTlD9YmBaBxpNjGiZkqe4dyRAwVIQRjeQtDU/j4Tx7nytO7aYrqxEIqt19zKu0Jk62dSXRdZW17jCOjeTqSITZ2JtG041sLYFkuP3jo0CTFkcryGhAQEBAwf0ycPLli29JJE1gzmbifahImZChcvb27KvzFh6/czAs3LKlqu1SGebzlso386MH9PH9dJ2+tUGBY0RKlKWrw8IER8o7vUN2RDLGsKcr69jhNUZ1P/PQJDo4UePn2pVx/3kpaojp/8/zV5G2PoaxFxNB4cN8wHckQH//pk1iO5OXbl7KqJYapgSoUDo3mWNIQJmSovO17D/KG563C82BNR5KmiIETlhwZhRWtUUwN8rY/DlFwPPpTDqmczWfvfoq/uWA1b//egyRDOm94/hoKjgsC/r2Uzpds5A0XrGQoa5XVCxZ64mq+ONaVzbWcKj7wss1s624oh7ObaiI0EamtFKgIWNsWn1K5pLspUnNf5WrweEjl6u3dfOu+fVy9vbuqTL//pZvwPMm7f/hI1TPQ0xzmXS/ewFjeYXlLtCzvni44OJ4km7f5wI8f4+9euJbBjM3ffefB8nlvf9F6BlIWBcejKSoRSGxXki24SDzSea+oiGqiCIGuKtiuR8QQSE/hhuetoiVmIIQkpGpkbNeXt5cCy3a559Bouc+ycUmCiKHx2KExljVFqlRS5kuqX9MUXrq1izVtk9uhDRGDvFO9iEepiB/d3Rjhby9cM8nBorsxwnCmgCsFb5kQethQFXRNUHBkObROaUzSLA6US6aa6ZaEVMFQwaNyVWvB9WgyVRwFRnMuN3/r3vE28I6NLGnwj1vdEq0ZamJVaxSJy74hB1Xxnanytkum4NHdpGHnoSWug6eUF5IhxsutoUnOXNnK9f92b1U+GOr0M/Z9qdp1en86z6q2GM8MZsrOdCVCusKPb3ouS+IhDg1bVYrCt+3YhLPUm3ZcO2wY/nhrKdZ7MQxKW9xXvSh4HppCVXz00ZxFwfOQU8g0WK437/1JXTCplMji9oXgRJQZ54q869IQ0VjeEq2KdZ9fQI+EkAaPHclXPWe7em1O6Tj5x8E7ExoHR1xc6Tsjup5EVTQ6E8G0X0D9Ejfh4Ei1ksTBEZuuhrlTO4hHFIbS49+lBEdCU+zkU5wRwneKqEQRcDJGRNUVBduVeHJcscv1JPoUjqi1CGrLWeRo8bx7mqI193c3zXySrlLSsC1m8tGrtvDW7z5E3vY7U5XXvu6cnpox/q45o5sP3/UEa9tixMMqqlDJ2S6uB8tbI1Weh6PZLHuHCuzqT5dlaM5d1cilW7o4rad5UriNxojBwZH8JEm3roYIAP1jLt++b19ZUm9JY4ihnMMf943L3Kxui/HrJ3v59v2Hy04UJYTwJRMrPcYbwxp+2DN/QhYp+fhPxpUnPnLlZpaaOm+8cDXnrW5mNFuoapS70uMzd1cPJL3nh4+wrj3G1mXTe2cfKwXbK3c0nr+2hSu2LSNrOWiqglOQuB4kowqOZ9Cb8idEWmIq/WkX25EkwwrRkILjqRwZy9MSM/nFo0f48c5eXxa9K0FuipUWEnnCsukBz05Gsi7fKT63hgLJogNP1pI4nksirJIpuAykC3Q3hVCFStZ2sVwF3fFoixs0x1QG09CeCNNeLNf7h1T+6hsPlOuKd1yynoPDOZ6zup09A2n2D2bY3RCe5JwBlB1/OpN+vfvQwTH4w14+ctVW8pZDxNA4d2VLeSJwXYdff25d1hBM1D4LUBUFTQjaEiowHmIjGVbIWpIljSG++KvdXLKpi+evbeHx3jQRQ2MwYyOAnQdGeMUZ3Tywz49z+6MHD3Lj+av53gP7iitjPOKmSk9ThIzlsrQxzHt3bODhg2NEDbXsIAHjK9q+cO12uhomS86+9rwV3FDh4DhRhapEafAYKDtfLpYy/GxSgzgRDo/mWdkW49BIjlO7k7ieR8GW9Kd9ZRNDU9gzkKUpahAxVFzPJV1w+a8H9nPltm6+d/8+XnPuShrDGo0Ro8oZYuuyRrYum7ktvqrFKIdH83Qmw2zsTKBpCg8dGp1WNS0gICAgYH6ZOHkiBMe14rTWJExPc5hkSCfvuLz+uSv53v0HODyaZ3d/pjzG0JkMccW2pRwezfEPf3YKQxmbsbzN685bzUf/5zEaIwY3nr+SwazviPrMQIbmqMGdDx3g0s2dLGuMkAgrCAGqInjzxevI2y6G6ofuczy/jx8PaeiaryqwqStJ3nb58BVbGMhYJEIaR0ZztCejpPMOnckQhipoCOt88GWbGUhbPH5kjP2DGa44fRkDaYtlTSE8D/YNldqIKvc+M1xWN7jpwjXc/8wAH7piCwPpAmFD4X8eOcTS5ijXn7eSwXSBz/3vLj74si08eGCkHF5toSeu5otjXdlcy6nind9/mB/f9NyqtuzGJXG+9tozGcgUaI+HUBRfXfPmi9ZUjTG9+7INbO1KEjZqhxU7d1UzmqKU923pSvD681eRs/zysaUrQX/a4pTOBPfvHeYtF6/nYz95vGpca99QlnXt8ap9z1/bwl9dsIrhrE1z1CBqaAxmLbKWy9d++wxP9qX5xCu28pErt5CzPVRF4dPXnMqRsTwrW3wFCQT0p/NkCjar2mJYjh96wZOQCGlIKdFVBV2V6KqfXsuVuIAsToANZx3a4yqeJ3FcP4zDA3sHOX15C6vbYjRGDDKWw33PDFWV6cowgPOleKJpSs12qOdBuuCyq298AdOqtlg5VMO+4Sz/VFQFKQ3o/9MvfMUC25N87n93Ve373P/u4sNXbkE4grztTlKZcIoLv6aSXi64Hp5UMFWFbMU8r6kqeBJyljdJmeQ9d+zka689EwChiJqhJhRFkM5TEpwYR0DOgqipkMq5VE4tq/jbATyp8JOdh8rKPU1RnW/c8zQ3nL9m2nw/2sR671i+pvJFXyrPYLrAZ39Znfef/eVTrGiJ0NMUranw0d0UZSRrUaiR97bjuxyYSu2VnqYiyHuy5qR7iWdzf3J5c5Qvv+Z0HJdy3mgqC7rgJ6KrGJrKWFHFeSwvMDSVqL5wTvMDaVjaGGI445YVWxojBgNp6GhYGJuOJyzV8ZB3fGn9giPK7amIro4veA0IqENSBWiK6vSnxt+ATVFfSaJjju7pebB/uDDJAbPkoHkyIQRMjH6qaSenk4TrQUtMJ2dRrv/DusoxRNsInCRmk6PF817RUtszfkXLzBo2tbzv/+mVp/Hvrz+Lw6O+tOX2niRnrWxFCNi4JFGWVwa/Ef/Ne/dx2+WbeOOFq3ne2hYOj+R42/f8ldXbe5K89UVr8ZvkJVk+k6YotCdayhOLTVE/nk3pobrunJ5yuI3OhhCf/vmTk+65dVkDb7xwNY70ePdlp1CwoReJqan0JA2iul52zIjoks4zemhLRtm0JE7e8TsrJW9IRVFoi5tlL2tTE4zlHVwPCo6L63m848XrufJffk9jxMDU/FUha9tiSOlLyD2wb8xfAVz0bH7DBat42/ceKed13vY4Mpo/pgmFmdCbGo9/eHpPkrCu0Z8qcGgkx4qWCJoqGEzbpAsuLXGDnO3Qn4bhrE1bcfDGdUFT/DiTrid5yWlL2NWf4T0/fISPXLUVRdSWqVzWGAlWeQYcF1nb4cbnrcbUVRzPRS0+/IoQeB40x0wKRclTQ/O3edLvCCfDKp4UHBy2yNkuLTEdUxMcHrUpOB6funorQihF1YcQt/9s3MHpH1+2eVJ9cssdO/n8tadz95MDSGBjZ7Jcrz50cIy3ffdBPvGKU9nW3Tip8/Fs7lg/29AUX6bt0KhHznYxNX+12f7hPImQju16XLFtGf/1wH7++sJVDKRs/m+3v9ront39vHx7N28qvmu39yT50BVbsFyP1z93FVFDRQjQtTAfvetx7ts7Sk9zmPdctpGEqbGqLcY5K5rY0NWAqSmsaIlycCSLqSn0NEX4zKtOG1czEpCz3WlVqEocj6xxwOKiMxkm7zgsSYaI6hoZy0VTJUsbw+Rsl0MjeRrCOv7YkyRj+WX7Nc9ZyfX/dh//8ufbMFSF3lSB7qbIcdvhOB4/ePDgpI7jS7d2HVU1LSAgICBgfpm4+l6doi94tIn7idfpaQ7ztxeu4dqKMJs3XbiGux45zJq2OP/vBWvobopgOx6GrmK7/kRvPKSRsRwKjstNF61BVRRGsjbNMZM9AxmaozprO+LcGF9Fc9RkIF1AVxUiporED6eRCGsUbImhKpiaH95CCQmyBQdVEezqS5MIGzzZm+b3ewa58vRlJCMGmiIwdf/4kK5iuZKQ7l/7OatbGFuaRFcVoqaKLIYh8BXtJFlbckpHjE9d7U9ot0QNTu9J0J+yyBZchBBccXoXrucPxKmK4JbLNmK5btXk/bNFqe5oE7ATJ4YGM4XysSXHGiEoh34A+PWuPg4M56vU2N592Qak57GsKVIVFqA9YbKhOM72+Wu3kcr5YSsaYwa6Ijg0kqdvLM9tL9mA5XrEwzq7+lJEDJWooXHD81YRNzWeODxWXKyTKivDtcYMbrxgte9YM5xFSnjj89dQsF26mkKM5RxMVWE05+C4Eum6SBT+8vyVNEcNPOmvfFeFQFEEjRGDmKmiKgqelLTG/HEdU9OwXY/WuI6h+dczQwLHk7jSV5fI2y6OJyk4HmFNQxUC2/UI6/5xIzlfdSKsK1y0sR1d0egdy2NoCgiFM5c3saolwgfverIchuSzd++aV8WTqSYJLdcjbzmTJtSt4oj2YKYwScXmpgvXMJQpkM47vOF5q4iY46oN3Q2rSBccEmGtprOCQ3VZnXhf8MuW60kqPRpcT6KI6rG8SqeC3qIu+OiE0AMlRrM2qirobgwxmB6fvG2OGuR8nxk0RVQN5JfG+wAcz+GiUzqrVE5u3bERx5t+9nN5c3RSv3Pz0mT5eetMhmoqX3QkQjzRm+a9l51CxDTK48CnL0swlLU5bVkjb7l4HU/1pcvXfcvF6+hpijCYzdfMe6+Y96qikAipeJ5SzgdFCFRFIaT7x1YSC/kqMgtBDZ+WBcNxPA4MFybNNTjLvAUb4xUIwoaKoaplFWfLdVnInEpEmBRaQ1PAPP5u8Qkxn+M3hgqaovmKV0UiRVXqgIB6JWxSdmAsIYS/fa5I5z1G0tmqBeIP7RsgnT/52u4aUKtlcjI6A0RNMHSVgxWhW5piKlbtpllNTsZ8WTCOFs+7lkTY0mSYhw+OTFqpV4ta8UZ39aXLnfKe5jBvuGBNlSTaR67YREPUZChj0xzVGc4Uyo3rL/16D7ft2MAnXr6VVN7x5SZVWe1pKGCs4JHJO2QLLmndBlwKDmX5KinHJ0TH8g7XP2cllrObhw6O0ZkM8Y+Xb0ATgnXtMbRio7i/Ii5WwWZcEkr6HRLblaxti5EMGyA8/rTPlzU/NJLjjBVJZFGKp+Q4EdJVVMXG1FRURYBUeOOFqzmjp4HRnM1rK6TpPnLlZlpiOpnigzOatTllSaIqr0O6Qkdy9leALGsIc905PXzz3n1EDZU/7R/k2nNWYuoqjRGdnO0Q0jQQLoaikLL9/G6O6oR0lb6UTdZyaI2bJMMat//sCV6+vZu3XbqOP//SvQhgWWO4ZvzxTYGKRMBx0hoz2XlojI6ESlQPlRsSybACmKTyHjnLIW/7knuOJxnLObTFTUK6wnDWZSzvfxdCcmSsQNTQSEY0LAeGsxadCZOv/24PV27rxnL28tDBMf7h+w+XB3JK5G0/9mFIV+huDKNpSiDlHzCJuOnHDHU8Sabg0BIzGc7atMdN8rbLUNqhOW5ww/mr8BB8+Te7y845775sA//8y13lVWevPms5Dx8c5RM/fbJKISlqqFz/nJVcvtUiZKg8dGCEb993gK4Gkze9cB2HRvKEdJWv/nYPF67v4G3fe5B3X7aBgi2rFJ4++LLN9DSH2Ts4HoO1UoWqxLHKGgcsPjZ2Jniib4x0wSJne6QKDqqic2QsR0vMpCmmIfAndzQFMgVBKKSSKfiOoP1jhapwZiXHhmMNrbHz8GjZQQLGY3ivaYsdVTUtICAg4GRnvlYFzpSJYwwdiRDrOhLHHLt94nXCusrVX7inSi3Ck5KbX7CWf/nlU1y4voM3f3tc6v4dl6znyGi+qr304Ss3k847GJqK57mc1t3AYNrC8ST37hkgHjFZ1hhh/9AIm7riKAiylkc8JIgaCsNZi9/uHuDux/u46vSlLG+JYjke6zsT9KcKbOtpZPPSBLqqMpSxAHA8l4ihoimCrgaDkaxHznIxNZWI4U9S522XnK1y+8+eIG7qvPa8FeRtl/ZECE1QHpewLI+P/uTxcoiCj1y5mbG8Q1+qUJ4cXN+R4K6bn8uRsWdXP2Sq0BjLm6M1J4Y+dfWpvP2SddiuZE1bjA/d9Rh7B3N86dd7+MQrTmXjkjiOK+kdy/P6564E/Ano9935aNk54gXr28jablU+O45Hf8riXT94hMaIwXXn9FQ5rdzyko0sbYqwbzBLWFdpi4cwdAW3eK+VrTH+/Z69bF7WQFPM4FNXn0rWtonqOuvb48RCGlFDYyxvEdLDjOZsWmMGBcd3VtU1heaYSd4WjORsNFVhIG0TR+H2n487///Ln5+G5gkMTUERAtuTGBJGsr6Tg0RSsF1sXQEknifxiouCXE8iEIjieUIIXBf+tG+YzoaIr6KSCDGccdjVN1IOt7GqJUa6YBMrTn6/7XuPlCf350vxZLpJQk/KmiEzSmOLhqqUHSRgXJ3vWzecXXS8sarOvXXHRtrjIRyv9rLBkuSypgh0TeXJvlT5OS6FTfGK/cfKid6Sms3ShtpOBUsbio5BU4Tx8JA0RQRDKafquum8Q1Ncm3IAv1SNKKhlVc9cwSFianz1t3t424tOmenPMCW18h9geXOIkaxVdWzEVFkSMTgwkiVXw7nlwEgWXfH7KRMnzrVi3ps6qKpKKjeeV6V+TcFWSOWdcujLcqiOWNDHqEclP00TeJ7EZlza3PMk2jHEf59tFAXUCd1eQ58cOmW+mM/xG12DwyMWlYtehzIWnQ0n3+r4gJMHARgTZqYNbW6f2bABZ69qofIVd/aqFn8u8SQknZeTvjeGT760hnUYzla3/8ayHo2RINzGgnG0eN6VK5mnW6lXGtCuHIRRhGBtW4znrm1DCFjXHq+SBLxsSxffvm9vufHcHDNQFLhvry8X/nSxkXnOiibufnKAtW0xXCl483fGG8UfudKXoxzK2uzqS7OqNUZXg4EqFBxPohftylkeBdulYKs0RXQEfsiOtriJpkreful6frdniHNXNWGq4FSU0760zV985b7yPb9745mooigJJfzVH6N5u9zQWpYwOL27sTwx2xpXOTLiOzgIAQXH463ffZi9gzl6msN8+uotFBzJuvYYYUOjOaryhWtPLzuKZC2bXf3VKx5t1ysP+pd+h42ds+9UEDE1bv+578HfEVe58fw1ZGwXgcRyPAxVRVcEqoCs7dIeDxExBQUH4iFI5QW240sqhnSF65+zki//3x7e8qL1xdAtYbYua2RjZ3LW4o8HBGQKLmetSNA35tKbKtCeCGE5Dqm8RthQigONrr8awvJD/yxJhvCQ7BnIEdZVOhImuqpwYDhHIqzzzECaRFjn4z99sjzweOuOjfz8scO8/vxV3PSffnzMiZ2ckK7QGNG57fJNbCw6/gQKEQETKcUM1YqSnkNZi/a4yWAxlnV7UufhA2M0RU0SIa3s3NccNehpivAPf7aBZEhnLGcjBHxqgqLJ7T9/ije/YA05x6U/U8BL+wNsb33RGpqiIX7/9NCkMB2XbenioQOjZQeJ0rXe8f2H+edXb+Nv/n089EylClWJibLGpQmLJ3tTwOIJvREwNZqmYKpQKK4CiRoqWcumKWowlLFoiRkkwip5W3JopEAipBHWNQZSOW44f1V5kBOqHRsmhg6zLJeHDo1yZCxPZyLE5gqHXvDDftRSizgymuf5a9umVU0LCAgIOJmpV1WniW3hpQ0RvnXD2VULMY7FPin9er+xKD177dk9Vau5333ZBr7wq91V75zBrMUP/3SQ1523kp7mEMsao/SnCyxrinD3Y0c4c2Ur9z4zRMRQOTya48yVLTRFTWzPoac54qtSJnWaojqDaYt4SCNnO6xpi7OqLUZLVEciygOnRnEiJl3waIyo9DSHSOU90nmPJQ0GEtjTn0cCX/zVHp7sS3P7NafSHFVJhPxJzr+7eB2O53HvM8NoikLMVIkYGkJA1nIBWVaczNseYzmb5liIvuLK8R/86SDXnKFySmecs1e2zMZPuWiotQCo1Bbd05+etLjn6YFMlfPCxNAP//G6szgyVqhyJC4d40n4wH8/zldfeyZnr2ypGiMzVIV/KpbNK7Yt5Zv37psUguEjV20hpCs0RU1fVcLUSOUdpIT9w1muPnMZjx5OcXAkh0DgIXnicJqv/m4vhiZ4x6WnYDkef9o/yli2wCVblpC3XXTVd3o4MmbTGNGJhxT+b9dA2Unhz89ewZXbbF81wZFohj+BJwREDRVTESRCOgNpi9a4QWNUw9RUQrpGSFdpiMBA2qItbpaVWgQemiIYtT1O62nEk5KhjM2jh8f4/gMHuWB9G9eft5Ijozn+9Td7uHRzJ8mwwZIGk3deuo4VrTFuvmh1laLAXDLdJKHtSu5+/PCkMBLLm1cB/jNYqz2atVw0RXD/MwN8+TVnMJAq0Bo3+f4D+1jZEkUr/i5+iERJIqSV1SnAr9+OjOYnhSVe1hjGk2BqStXkian54TaSYZWlTWFUoSLxFUHcqEYyPN6GHs053PqjcYflW16ykc4kWDbkXY/KCcy865UdJCLm5BXgJTJFVU9DU/A8STKscePzVpO1p1eS2DeU4ane9KR0rm6NsbwlRl+qUDNkyarWrVVpmsho1q7pZDKatTE0hbzlknJdcpbLYMZCV6Al5i8LNlRQhAIVwUUMVUFTYDTnTVLjGM3a5J3aTi/PJo6M5VnbFvNDBhUdZb74q90LquQnPdBUgab4ip26qiCERC7gz6UB1oT7ux4YCzQUfqxhqU6EnAW2K1EVWV7I6nqSnHX0cwMCFgoVGJ0wiZ/KS5KhuetThXUFQ4dsheJA4zEqDhwv8+1oX3AhYghS4+vxiBiCgjv1OYuVvAPRkEIqP564aEg5ppBDgZPEArLz8Cjf/MPeSR7BpQHtiYMwPc1hbnze6qpGd2Xnsj1h8OqzlrOr2Fg9NJpj67Ikp3QkGMvZZQ/fv3zeSu5+coDXn7+Kt1UMqDdGDEayNiO58ZrB9VxMXSlKSvpyaEsaVQQuluuSjOiYuspPHustyhSmOXdVI5qisrYthhCChojGYLqikOoKr9zexVd+t593XbqGgu0B462WbMHhoQOj5XAYyVAzlR7XcoJLWSKs8+Ert7B3IMvy1giOHFem8IrKFLrqN9w0VSFqajx+eISfPDpQ7iioQvD168/kyFiBjoTJ5jlyKhhI+zKT25cn0BUFF0lYV3A9QcRQyVguwxk/9ngyrDKUcdk3XKAtbgIqDVGNL/zvbn739BC37djEhq4o1527kv6UxfsuH3fsmCruY0DA8dCeUHl6IE9DRGdFc8Qvp1mXtoSGIgSaWgyzIWEwbdEaN2mIKFgOSAzylstQxqIpavDzR4/w45293PKSjeRtl2vO6ObDdz1RFUrjyKjf2QvpCqcubahyYLptx0aSYY0zljUGjj8BUzIuT+qrmrQnTJqiCppicGSsQEhT2NQVp2D7gw5LGkK876UbODJaIJV3UFXfcc9yPVrjJh97+RZ+t3sYQxM4riTveGxYkmRPf/XA0wev2Mxjh8eI6BoblsTZVFQpesOFa7h/7wierB0nPKSpfON1Z9VUoSpRKWvcmQxNmrCoh0magBPDslz2D+dpjZtETZ3RnMtI1iZiCEzdH6AV+PGoHcflLd99lJsvWouUHrqmTunYUNkWsCyXHzx0aJKTw0u3LCmXuc5kuKZaREcydFTVtIAAAM91cRwHbWIQzICARU49qTpNNdDmeZKfPNZ7VEeOied3N0bK5zVGDF6+fSl/d/FaoqbGh/77saoxg96xPH938TqSYZ2BlMWSBhPH8xdxNIR1RvP+eILAn+i8ZHMHBQdWtcZoS5h85Te7+fBdT5TVJg6NpBAIGsI6A5kCrTEDVVEI6zqtCZPRbAGtqBYRNfyQA4mwChLc4qrx/cMFGsI63c0hBtO+U6wE2uImN71gDYmQTtbyJ8Zztu+IaKgqY3nXD8WRs2mO+opjqhA0RX1Fy7ZEiOevbeG1561gNGcTNVUe3j/C754e4qYL1/DNe/exrbuR5S2L11l7ukHbmQzoThyfmTgxdMW2pWUHCRhXBKgM/ZC2nHKYjcpjbr5oDemCW5wcd/A8yS+e6K0KIVAKk9GeMPj7S07hsSNjZWflv7t4bVEWXqc5ZvDMQJp79gzSHDW4+/E+rjx9GbYL565qJms5ZC2PXz7ay4WndPCOS9fTGDXK4SC39yT5y+euYizrMFR0vH5w3zANYZ09/WmWNoY5dVkDW5b6YzKWI2mKhjE1jb5UgURIMJrJkwgZhHSFguOHy2hPmEXnoQLtCY2YOa6aKqWkpGvgeZJkxEARAiRoQuAUj9m4JMmKligRQyNVsOlMNrKyNUpIVxnOWIzkbBoiOkdG8/zgTwdZ11GtpDpX9E4xuduXyiOlx59t6eL+4qIudQD+bEsXsjjLOlVIF19FIseOU7uqhP13nNqFEB6qotES1bAcUR7DTISUcrnNWu4kZ5pv3ruPjUsSNEdVCjXSoSlguZJCcRFHZahf2/MfgLzt8b37Jys+/N3F64kaClFdLTtfCAGRYqzssAGHaqwAX1JcAd4aM+lLVU+GKxWOB1M9o71jhUnP3e0/f6pcX43m7JrhTEZz9rROErbnYTvuJCUJ2/PAUQgbKokKJQnbdXEcP49UdfIKYVXxt1uuWzMMij0xfsKzkOVNEV55Vk95/L7kgHMi4RVPFEWBSHEsWwg/BJWhKigLOEQnmewQYSgLpyTRngixvSfJdeeurKoT5kLFx/OgM2kymHbLv0db3MQ6hgnCgID5puBCMiQYzY5vS4bmdhI/rMNAuvoGw2mXltjcjmcthKO9rjKpDpBysnrHyYBZQ4GkGHluxpyE2VLfVDZgEZJXn7W8qqHziZdvJW+73PXIYVpjJl/+zfgKjcu2dJUdJGBy53J1W4wH949WTdj4gw553+GgGINOUxQ+fMVmWqJ6OW66ELBxSYIlCY2Co5RVG9oTKtmCx3TNirAJ561qKZ/TGFF54kjW9xxOW7iuS6bgx1TsSxVY3mRy6ZYuti1vpj0RwtTgmcFCeX9rTOPUZQ30jhVoT5gYmt+BLJEteOQdt9gx8XBcgYIgYqrFwRW13DDw49sJbNctK1MkQyqvf+5qLtuytOxxfsbyRo6MFsgWHHpTMJTt56J17bM+CVvq6HU3hhnOeuRsX17Rk3BoxJ+oU4XfKVIUP1TBqtYIqYLNgeECpqZw4wUrAHjPHY/wtdeeSd5yWN4SZVswaRwwR6QL0BrXyVlwZDRHPKTR3RTGcT3SeZeRrEPE8FVQeloipHIOjx/J0hI3UATETI3WuMFXfrOHc9e0sqs/w60/2snHrtpK2BiPO1kKpRE2tPIqtcaoxteuP5O+MX+FSDyksrolHkzIBcwIgT8IJSUcGC4Q0vzypmsKmYJDxvL48UOHOHNlMz3NEaKmxpGRLM3xEL/ZNYAn4Sv/t4ebLlrL5q4EqiLoSxVI520ePjhKa9zkrRevw3I9bFeSCGscGYW05XD/3mGaIgZf/u3TvOGC1bTF/OfhM688jUyxk3z3Y0e48JQORnIWXQ0RXrShY8p6vFLW+IptSyfJzwahNxY/T/Sl6Eia2A4oxRZ6afDWdiQY4Ifl9fAQXHNGN+/8/sN8/fozGS6GIarl2FDJTORaN3YmeP9LN01SOis5Yh5NNS0gwHUcUqkUUkpCoRBCBM5bAYuDo00IH21V4HytEJo4UdwRN+hN5RnN2rTGTH7wx/EJwJipsncwwy+f6GN5S7S8enzS+W1xspbDF6/bjuu5pPMemYKD60n+7uK16IpKxnJojBj8yy+fIqSpvO0XD3HDeT0sa2xnIOunuW8sx+O9GVQBGzpiREyNvpRFS9ykOaYzlLZ4/Xmrefn2HhIhnf6UrzZx/9MDbOxKoAgFTVUxVQUpJUhIRjRfHczQyFgOpq6QyntEDYVk2B8Vsx1/hX3e8ijYHjHTn7ABMDWBJyV6sfvgDxD613c9z5f7VQWW4zGYsYgYqj95HdMouJIrTl9WXNmvkrPgytOX8eqze/jc/+7isi1dZOt4FqKyTHYmQ7ge9KXGyycw5aBtrX0feNlmtnU3sLQhMqUzzkTH3vUd8aoQGiXFqsrQD4WicskV25aWt3/v/gN0JsN8+Td76GkO0xQx+OO+4fLq+JIzTzSk8b7LN+JKyc5DY2Xnib+7eC3xkEbe9pUHABqjJj0tUZCwtCmMoar0pQpYjoftSPKWw0tOXYKqCDRFZTRn8bZLTmE4Y9EYNXA9l1TeI2ZqZAoOq9viWK7LgdE8w1mLZFgnnXNoihj8zyP7+bMtXXhS+mUZWN+ZIGP5Tj1dyRDtCZP+VAEwWdseZjTrMZR1iJp6eTxL4C8CCqkKTrH+MXU/9MZI1qYlZmJqCsWIM+QKHjmrwPfu28/mZQ0sa4wwOJqlsyGE5dhctqVr3voNSxpCNSd3O5O+M1NHQtKZGB9LlNJBV/1G8HQhXQq2w1A6iz1BsaA5amJoMJCuVm0oOB4tMa34XfKG560iYo6HzehuWFX+jcKGWlSSofwdwHb88MITw0G0Fh9/y3G5/jl+aBjw2/C+WqGLrmqYevV142EVz4Os5YecyBbGz4sY4w4VSEiGVFxPKTt9qEVHmVpOQ5uXJrlwXTsZy5lCicM3OBHS+cXjRyY5dZze44fxCGkKBWfcJrNYn0pkTSUJf7ugPWEwmvXKE7VNUQPXE+Xr9I5VO4T0jlksbTIwVaVm+A9jorTosxDHq626ckpHfMFs0lUQZnXolEgxdMpCMVVra6F6IUuTYf7y/FV+Px6//P/l+atYmgzP+r1iYchPUI3wpL89IKBeMacY1p9q+2yQs0FVBZXznKoqyM2xksRCONpLIDRh5j+kVWo5nTxU/6LV22fKSeUkUWs1xL7hbN3EC63lNXTzRWtojBgcHvU9rEfzTlX4i1su24jl7OWhg2MIQc2OY6nNWPIMrlzlMZq1ydnjxd/UBAXbw9RVXAlvvWQN6bykN5WnOWoQMVXyRZk3X4bOb7BWypVMLDQTv0dMf8VGbzGGYnejyr4hX3miLW7SEvO/l2iJqWSt8ePb4iqPHMxSsF3SeYflzaGq+zdGFFIFFVWxMTXF/16xv2LOtUxpcFYVgrzj0Z9yyp2pi07pRFclrcVYkK0xE1e6PNU/ximdDTP4ZWfO8uYo3/+bs+lNOYxkLVpjJoNpC01RaSp22mzPXy1gOx6uAkiVhrDfSRYIPE/wmvNWcPeTA/SmCnQ1hjm1qyFwkAiYMwzN7/DYjkcs5MuTRgwVRQgOjxXrDkNlOGthOioxU8WVGgJB3nII6YIDQzlefkYPD+4dKIfTyPhSE2X8lSEmu3pT/NtrzyRTsOlLWXQ3hdm2bOrJ44CAqZAUV7cJaIqaZAr+eyikC2xXoiuS1z93JYoCUVMjb3tEQwZxU2fTkiQHR7Lc+LzVFGyP0bzN/qEsdz/ex6WbO6skg2++aA0/e/QIuiombX/dc1YwmLFY0RIlrKs8cWSMr/x2L8NZi9t2bKyKdT0x5FYllbLGT/am5k26MWD+CBv+76iqvpLUaN5f1Tqas4mFVAxV4EpfljZTsFnaGCFvezx0YJT/fuQQ77t8E4eGUpy9ur08AdIQ8eN1l8rUkSkm+CrlWjVN4aVbu1jTFoTtCjg+pOdx/Zd/j26afPuNzw8UJQIWBTNZ4TPVyua2eGheVwjtG8owlC6wti1O3nHpTIb4+P88zn17R8sh7L5z3z4OjhS47pyeqrbJ56/dRszQyVku23saOTKaY1lTlFTeQVcE6byD43kcHM6Vww28+YVr2T+UobMhQrrg8PZLTmEoa/HV688kpEmkFDREDH/SMxmmMaqjqxr9qQKaIpB45C2XguPRGNXRig4JQkA0pBI1NF5zXjf9KZdRAa4nQYOOpL+SOmdJFEOSsx2SYd9hImd5JEL+RCECGqMajifpT1l0NYRwiwskAPK2xNQE7UmTsbwkGdHpT1t0JEy6m0JkLUmq4BI2NGKmCgiSpk7ecfjo/zxZVhF4xfZu3nPHzqqxGtdz6W6a+7AFx0NlmWyMGJPKwidecSobOuNTDtoCk/a98/sPc8P5K9ne01TzvA03Pxcp4WNXbeXAcJawrvLWiknPkhLqcNZCSsp2rG6N8tfPW0nedulsiJCzHN53+UaOjOZ444VrKDguP3+ijzVtcQTw9hetIxbSOTCc5eM/eZLhrMUHr9hMS9SgMWpScFw6k2GGszaaJlCEXx4sx8VQDQbSFg1hDVVRMDQFXVXISZt/unsX792xgWRYJ2d7hAx/6XtJLUBRBJ1Jk3TBX5QTC2mM5iTnrW5BUzwcTyFne0RNlR2nLiNdcAgbGo1RDVUR7Bsu0BIzaUvoOJ5kMO07VhiqYO+Qr4bSFFGxHH/xQKK4rxSeNmd7hA1oiupEiraVFhdFikuoWxMqBVtwzVndJMM6wxkbKSVRQ6OrIYyuZWiMGPPSbxjJ2DXVFTZ0xH0Z5IJanogHCGkq4aKSxnQhXSxHEpqgWGC5LpYjURRBS8woq9kKAc1RoxwCuC1uMpS1J03yt8ZNajVXSuOL+YxHc1SrcuqwnPFwEA0Rg4yVqx6lF/72UI0xSkMFVH8APxlS2VexdLYlqlIU5MHUYSTnoSoCKf360fI8EuHpQ2r0NEVrvq9K9ZXj1Q7j4XgumqKSjGj0jY3blIxo+FWqqKkkAYKo6f9ulauCI6agKPhDOg89TUZ5PFgI6G40GM37Sh19I2m++tozy/2Y3z3Vy/LmhVNLqBfyjs1Fp3TyV1+/v/w737pjIwVnHvThp8DQQJcKqVyFQ5GuEPhFj7N7MEVIV0iEquup3YOpWZ9rkBKiJgxnxrdFzerQ5wEBAaAIaAxX112NYaWqLTIXzGf4nRJT+ZqcrEtOJ45WHuvo5UkzYlUrNMXfXrimahXcxEGK+Y4F88xghg/f9dgkWbcrti3ls3fv4vXnr+LjP3m8Oibcr3Zx2+WbuPeZYTZ3JUmEND7x0yfLaXrzC9dy5vImNnQmcFyvSspuSWOYwyPZcoO5pznMqtYou4qez08PwKnLkuRtX+VhKGORDIfKXjZCQDyk4x7jS3Xiwzbx9IkxwiYS0sadLJIRvbbXzzR6WeqEEyKmgpmXqIq/ejgZVrAcUY5PmIyo7B3Is6s/XQ4Zsqo16ktszjK5glXsmPsdnHhYJVcQpAoOWcvFjGmoiu/g0hZXydkef9o3Siyk05bQ0RSVI6kcnhyfUN7ckQhW1QfMKQlfybEYusCmLWGW45+2F3fuH8rRnjBJhFXGci62KzHU4mqBVIEv/O9unuxL877LNxEzFUK6QtTQ2D/s96D9UBqb+NnOQ6ztbETg0hIzg4m5gBMiYqi0xk36xgoomERNlcOjeSKGRs5yaI4ZqIrEdgV7B3O0JUyWNYU5PJKnKWqQt010VWHvYIaM5Uszv/3S9ew8OMb/e8EaorpGQ9QgaqhsX97Id+71Q2hJz6M1YZLOuTjSIzuY5dYfPcpw1uKdl67nth0beeyIH/u4MuTMu37wSDnkVi1KMceBKSdpAhYvUvoxqvvTLoMZfxB9JOvLIyfDKskQZCxIFSSmrtMaN7h4QwublyY5b00T7ckQv3pC4f92D1S1ZwbSNlu7mtE0hc5ppIsrCcJ2BZwoQlURatA+DVg81Oqrf/iux1jfES+/e6db2TyfK4QmxoTfP5Tl1Wctx3Ke5qGDY/zzL/0xhP6UP+n65ddsZzTrEA9pZC2XVC7P0wNZXM9jY1fCn3RzPFriJp/86RMcHCnw8u1LedefnVIe1O9MhulLFViSDKEgcD2J43g4Cjiu5zs2ACNZm+aYhuX4oS8VRbCmLUoqL8nbFrrqn1sK0RAzFaSEx47kaIuZJMM6BcdFVQQDaX+VvIeviCExGM7aNEYUwr60EobqhwYdTDu0J1Q6kjp5x8XUVD8kB+POEvuGCkQMjdGsTTKkowrBQNoiYujoqlJWqzg8ViBUlJ146yXruPrzf+C6c1dWhSrN2x633rmTf3vtmWiqP7ZUbyHPKsvkFduWTgox8OG7HuMjV26dctBWThEmzpNw396h8r7OZIgrti3F1BSeGcxyyx2PlB2A33npet74/NXkHY+wrqAp8P9esIaWmImqwBWnPZeepgg7D/ljHq2JEB/678ewHMnLty9lZUuMWEgln7LLk7KndMYJ6xqHx/Kcu6qF7csbyFmSvO1PGD7VlyJiqIQ0FVdKPE8ylrX44q/385fPXekriNoubXEDy5XoRScETwg+fOUWEiGFrEUx5JmKqgpCGuRtl1TBoavBVzopjZOVQhMcHrVpjZu0xzW8YghYBGiKwCmWjWhx3GYk69IYVhBFKXhP+guaAMbyHh0JQWPEoD/lhwkMFR0gVrWGGc669I5ZtMQEIzmb7qYwluPRO+b3zUOahuV4WLZHWjjsH8owVnA5OJJjbXuc0azFdef00JGY+37DWMHizS9ci6qo9BUXRb35hWtJFSxiIbPmORPH82BySBdVEyxJmgxnxqXll8RMP/62WXtFdaR4u5zlkZqwZDSVs8lbHk0RZdIKS0X4Y5zRkIKuaFUTKXFTwyz+Nt5EI8v3logao5qlLbUcKCq3O1Ms+XRcGMpMHVLj9O5Gbr/mVGxHlp0ZdFXQUwzRkAybpPJZ8jmPgu0ylhdoCiTDIUIGZWWLEnYxb8lKmmImhqqUx1RDuoJAYqpMkkn3vPFVwcnQ5KFcWdyetwVnr24Z3y7h7NUthPT6qlcXAkWo3HJHtar0LXfs5GvXn7lgNmnqNGUkAPDrnYaQSsEZD0nSoKtltZnZZGKYEfAnCGttDwh4NmNqlJW3SmQsmIMpwCqmc7QPqA8WtZNEpZNDxND48F3jsTIv29LFPxVDUdQa5Ki10uMzrzqNFc2xKvnB2ezoDmYKNWO+lWJ2Sc+rHRMua/GZX+zipotWlx0ewG8Y/fvv97IkGebx3hSnLk1y4wWrePyIP1hyaDTHtp4GvvKaM+hPFWhPhugdHXea2N6T5AWntJCzwPE8mqIGIV0wWmGz63l43okNcE58J8/oJX0C2T7x8hNlekxNYGoKqoIvVQdI6U3yhM7mZ9/l8kgq5zeMwiohPUI67zGatYgXVyq4UtIeN4ibfufCciSbl8b4yaODtMVbKDgebfEQBcflth2bWNcRJRyeolcVEDDLlAZwpISGiOqHx8jYNEUNkmEVV3rkLD9G8EjOxvU8DF3Fy1r81fNW+atnBjOsbIlyy0s2omuC07ob+MyrTqMtbiKly7qOZYFjRMCsYWrjnXcJNEXAkyapvL/SSEpQhcpAtkBn0lcTSuUcFOHLMocNlZFsgVOWJDgymqc17ofBevhgmndcupaGiMlQxkZTBf1jOc5b08bHf/I415+7gkOj+arVem96wVr+v4cOkbFc/vabfyxvf/dlG+hMhsrSw0dG80edmJ5ukiZg8WLqfhupPaHSnojQO+qvugV/8BCg4PrSytmCw4CAK7ct47v37WX78hZWFzwOjuQmrSZb2hBh5+FRti5rZPOSJLddvqkcciOkK9x2+Sa2LEkuYMoDAgICFp6p+upDmULZyWG6lc3HukLIcTx2Hh7l8GiezmSYhojGoZHqcYipFnXYnt9emFjfv+HCNbz3jp1cvb2bv/r6/Zyzook3XLgay5W4UmJoCpoisVyFpY1hOpMhcrZDSFdoifuhBN52ySn0jhVoS5hEdUnGEozmXKKmTlNEZzDtqyG2xXU8T6F3zHfqs12P5riOgqA3ZdEUMUiENAR+aM2WmEHI8BUgYqZGa8Lvw/aNlSaWdRxXMpq1aY4bmJrC6rYII1mXdN4lZbg4rkNzVEcRvrISUJwsNtncFWEg5dKfcoiZGhFd0BjRyVqyvIpZVwUSf9JaU/1JbKd0ISSuJzGLYTjAH7w0itL/uYLD2rYYb7hwDboiyFgufWN5UnmbP+4bpqc5OqdxhY+HyjIZD6lcf+4KBrNWefX89eeuwHbdaQdta+2T0l8I09Mc5uWnL6M9EeLAcJb//MM+/vmXVlktAiBjuXzm7l3lRTt/f8kp7B3MEjX9CduRrMWBkQyGqqIpgoawzrv/bAO6Knj0cIp9Q1nM4u/w2JEx7n68jz8/u5uIoYOUFByXbDFUh8xKti6LUXC8YhhXkz39Kfb0F1jXEefvLz2FgbRFW8J3tnE9P6TAKIAAXVFQhGAk6xA3dZJhv7yHdbUYakMgpcR2JIMZi+aYjq4IDo/5zjyNEb+sHEnZNEcMXM8jUhnjhfEFRGpZBMUfmwppCsNF2XqJv6p+LG/TnjQRCFJZl0RY4eCI7+hjFPvKjudRcDySYZWs5d+rb8wiETaIhlTCukZnQxh7KMu379vPNWd0E9IUPvE/T3Dxho7ZLXA1aI+b5CynKmxD1FAIFwNix0IahYrY4LEKXWjPk9zzdH/RGcDGdj2OjGU5e0UriRD0j9lUjv6N5WxaE/okh4oSpe0F16UhorG8JcpQMXTBSLZAwXUBZdKir9J3Q4FYXOPw8Li9TXENq8LfImqqGBPULWaDsK7geuMTraUQFNOF1Dg0lqUlquF6Slm1VxUeh8aydDfFcF1JzvZ4eiBTpajhuhLXE0QmrEqPmOB6YGoqiqhecqsIMDR10gK5EpXbJ9aQ484iavGZLm4vhvgoOaw9m+lLFXjl9i5etLmL/mLb466HD9KXKhz95DnC9SA+oYzEzaMvinw2EdLAojp8uKEpGIt6Ji4gYHFjS98hYrBiW9Twt88lwRhu/bNoq+ZaTg6lztjh0TzxkDrtIMfElR6NEYOnetO88T/+WFVYj9bRPRY1CkNVJsUQ//QvnuJjV231bYgavP2/Hq7a/6379vHhK7fy4Ss209kQ4uEVTWzoakAIv6G8rMHvvC5rCJN3fLvDukrG8iXFR7M2b/veA+U0/fOrT+NL121nIO3LUGoT4vBMdChoiqosSIjNiZXTiY41VJw/cVGbriksb4lQsCl3HrQGA8eb/dadIorSeQ44riRnu1iuRBGwvDlUngQZzUvChqA1rnJgyMWTfuxQRQhaYhpNUYPTliWIhwOPs4D5Q1MEHUnTH8TJuAxn/dUqEVNBUzVsF7KWQ85WaI7qfODHj3Hp5iWYmsJn7/ZlUG++aA0HR3PoiqQparB3MDtleIGAgBNlJOsykLFojOjEQgoDGclw1iFnOTTFdFRF0Jsq0BDVkBL6UhZNUYO2uMH+4QwN4RD9qTye5w96CeBl27q59mz/RfKuH46vlLt1x0ZUIblsSxeDWWuSU+Mnf/YkH7lq66RViO+781Fed95KPnv3LkK6Qkfy6PX6dJM0AYuXkhOplNCfqi676QI8PZDH1BWaYwaZgsVTvSmWt0R5xRk9/Pm//oHPX3t6zdVkn7/2dPKWy9ZlYBgqL92yhJUt0XLbdcuSZKBIFTDreK5bnmgMCFgMTNVX/9YNZ1cdV1J1muj4cCwrhBzH4wcPHqxSvbzlJRv5z9/v5cm+NJ94xalcfEo7P3mst2b4jqzloguXr732zLLsu6nBaM7lE6/YwlA6W9znT6D482n+8zia92iM6KxqCVFwBNmCR1tcJVtw6c+4tCc0YiF/eXvBpbzgxFAFnuevHHalH54ibio0hDVf1UHq9I36zhWJ4qBCwfFDAyRDfliAvCVpiiq4nmQ069AQMcqTvQMZh8awzrKmMEfGCqhCMJi2iYV0mqN+iI28LUhnLJqjJqV5s3Dx/bWnP08spKMoAlNXiJiCAyMWUUOjs8HA9SBTcOlMGhDxJxdVRWF87qLoQKEKfDl5j4zl0t3oD5m1JU1ee94K9vSnq5xgP/iyzaxsjfGBHz9apTpSD7QnQvQ0h7lsSxdblibZ1Zuu2i8ENISNaQdtP/Oq03jowCgRQ2VpQwRXSqKGymjO4s0vXMee/jSf+KnfzyuNx336F09x80Vr6GqMsKsvxeufu5JDQxmuPXc5BcdDUaIkQxpDWYvHj4zRGDG4v3eEiKHSEtOJmhqDaYvTexrRVInjCnKWw3NWt7CmPc7ShhCOJ+kdK2BqKlnLoWC7xEMqrifJ2y4x05d9T0QMVrbGiZqCbEHieBJNEcRMlZGsTWNUp6vBJGtJIoZf2IdzDpqqkrUdWmIGQkB/yi4vKtIUQdTUGM06GHGFRNgvI7L4jNmO/6k5ajCYsXA8ScaSJMP++CH4Y3mq8J0u8raLrghaojoFxw8RCyClxJMSFcg7Hgkol/vWmI7jChQhEEIymnNJ5V1CukbvaAZTV8kUXHRV5b/uP8Dvnh7ipgvX8M179/GWi9eTtz3603lWtc1teVUVX42yckDO8XyVV1MHTUyeqCg9kwdGMuRtD00ZHyfI2x4HRjIUpogyULD96041wQ8Q0VViE+QbYiF93KFlCmqtMtUF6MXthqbQHNHIWpSdGZpNDaGc2DiHpoKpK1Wr9k1dQVOZNqSGZdceyC1tL3geDWGV56xqKfcns5aF5XkYyuS8UPF/TwUxKaSCEP52qLFITZ2sLlwznQoY+oQJ5aL6zLOdde0RdLWVgVTBf1eLAmevbmVlS3jBbJpq8WOgXDCOrxKtTAofnl+IOZaAgADAf28fy/bZIhjDrX8WrZNELTnLTxeVIz579y66GiLl2IeV+0uDHBNXelyxbemkgeWjyWMeqxpF1nJrevmGdIXP//k2bNer2t+ZDPHey05BABFTxdRVbn7BKg4MW2XFg4ih8MSRNBnLJWaonNqd4NRlDfSnCrTGTcZyBRojBodH85yzognb8cgWfDm1wYxFR0O4Kg7PRBR878cF50THWCvOn1jxJUOCkZxLwfE7TnnbxS14dDfNvgNCSfQhZ/uyn6m8L3tqaAqV82LJkGA0D6NZl95UHkVAWzyEpsCq9igNgXNEwAKgKoJM3mUgZdEaN9jcFSGkwUAGVEVlJJtnNO9y54MHeP76Tl7/3JV86dd7OHd1azms0O0/f4obzl/JqUsbiBpq4CARMKdI/LithqaAlORtie26NEUNXE/SnyqQCGsIBP0Z30EirCsYukJXQ5SDI3lWtcXxPF+2+W3fe6jsFHHzRWu4/twVfO5Xezg8mueWO3by5decwTNDebwp5IlzU6z2EcIf0Hr/SzexsXNmK/qnmqQJWPyM5iR5x0Pgl4umsGAgI9G0YuzrbAFFUXjs8AghXaWrMUze9sjbtduZBcurcr4xDJXty5vmOVUBAQEB9c1UffWsNXVfeaIaxOev3cZfff2BmpPNlew8PMrjh4b5+uvOZDBtETFUIobKmy5eSzrv8uXf7KarIcQP/riPu24+h74xl96Ur8bQN5YhrKus6WgAUVrVC71jNiFdwdRUtvYkOTTkoii+Clw679DVEMJxfaVIgN60Q0NYZ1NXhHRhfBJLAE0Rf7L20IhFe8Kku8kkZ3v0jhVoT5iYmsJIMea8K/3VyH0p30EipCkcSBdoiak0RDWQMJRxaEuoxEKKP+krRPl+elFbX0jf1iNjBRojOomQSt9YgVgIQoaC60oyBX8FuBCQtTxiJixtMBnOumQsj0QYGiMaI1kbRVBWichaLqamYXmSrO1ScBxCmj+lF9L8Jf226793x/IOioAn+1I0RQ0Kcd9Oy5Y8PZCZ5AT7ju8/zD9dcxpXb+9msEJ1pB7obozwlovX8VRfmuGMTVdT2A8fZ6osb476ylS2ywvWtfHjGoO2niexHMkP/3SQ689dUQ7vsrwpzIqWGAOZAueuamF9R5yYqTGcs7n9mlM5MpqlPRnCsmFlS4zWmEHTplYsR+CV8loROK7HsqYIUVOhJd5C71gBTVXJOw4dSRMp4dCwRVvCpD1pMJb1kNKfZNcVpezAbOoqId1XMtQU3+kgrGsYqiBmqAjh9wdK8/RKUTWi4NhI6TssZC2XqOmHUjCKZdJxIRTxw2q4Rae/vC0RQpKzXDqSJo4rGck6tMXHJdQNTaEpqjKUcbGL1UdpCKozaZAuSIayDh0JlYaIznDGLoYHERQciVl0xDB1leGsTVvMpKGoUmE5El31n/eGiE5YV3BcP2xNS8JXbulqiiGl5OBIjl19aV52+lIu3dLBZ+/ezWVbusgWHF5xeieKEPzowUN0JEw2dyYJzcHAnyehIaIzWKEW0RDR8aTvIFGL0vaxnENn0iCVk6iKTUhXiYc0xnIOpgZdDTr7hsav29WgkyrUnqQtTfADqIqCrgo0RfHLgqoghEQ9QWeGiA6Wq1Qtpdc1hRP1Q9ZVP9xQtiKORXNUpeBAd1PtlakrWqLs7h+lKarTn6pQvojqFEXqiBoKcoJqsP8umj4fFMV/ZgQqqmJjaiqyuH2qM2eSs5oKEaM6TnxDWGGaV/CzhpwlaY3rOI4YX9inSnJW4Ixcz0xVpdbFHEtAQMC8E4zh1jeLtmqeSs6y1PDdO5iZdpBj4koPU1NqHt87VlseEyY7ahxNjWKq1SWlB2RPf7pq/3tfsh7LlWRK3qKpAlFDYTRncXisgCpgZWuUb967j72DOS7e0MKmrng5DwA6EiafvHorR0YLLGkI4XguQ2nfbVEVYs49peaMWba7p9Fg35Bb7nx1NxoMZI5+3vGSyrvlQabuRr9j4jD+QJY6e72pAu2l1UfCZXV7gmTgIBGwQBQcj5GiesTSBr/cukBLFB47UpwYthxe85yVXP9v9/Gxq7Zy3bkrebI3VV5tUIpja7ke6zuSgddkwLwRNRV0tbjiUPoDMU1RfzBUV8GVGg/uG6E1EcLUFFzP4wM/foLhrMWtOzby88cO85pzV/CFolNEyeGn5ACUtz0G08UVm6K2PHHU0GpuP2tFEy88pS0INRMA1K5rW6KCg8Meb7rjT9x00VpipuDVZ6/gr75+P1+49nRCuuLHoa5Rvhqj2oydbwICZhPPdXEcB01btF3OgJOYiQ4OSxpCbO9Jct25K8kVHCKmxld/u4fOZIg9/WkGUgUQMJK1aIgYZCyHqKExmvXl2l3PI29Lvnb9mQwVHS83dyRqtnWldLnuOd3kCiA9g75UgZDuT/i2J0w+cMUmsgWH23as4/CYx3DWIhn21RT2DWcBtah44L8zTE2hMaJzZMy/TumJ0xTfEcDxJNmCR9hQy6ve7eJM2b7hAhFdQ0qP5qiGBPYN+f3UtR2RotO+TWNYx9REedX7lq4Q+4Zd0gUPU4Owofi2qEpZHUIthsUoTeNEdIWMJTE1wYbOMEdGXTIFl4ihlY+JmQph3V95WZqzHEj5YTaWNIRIFWwcT5aHA/YP54mZvlOFlDCU9W1FllawQ86WmBqsbo0wmnMZyfqKGQ0RFdt1/VALqkLYUMlaLp6UbFySRFM8MgWXD1+x2Q9JEjXL79jOZIgrti0tO7p+6759nLG8cVbK5kyppWoK/jjVkdE8uurL8m/vaURRPAxFZ2ljhK6iGmmm4CAl/O+ufpJhnZztMpAu0B7TUYXKQ4dHcTyPj161lXhIYNmCsYKDlF45VIknJUsaTH8Fv+bnTUjXAIXGqK/GoGsKEVMhZ3uM5WwSIQ1dEfQ0+2ompZAtDWEVU1UAjd4xf9FPQ9Qvr4dHCkRNncaohifhwEjOd242FCKmH1al1IS2XUlDRAFEuQwcGbNpjOj0NJtYNgxl/XAZAtg7nCdm6PSlbJJhP+yLKoQ/wZy2SIb1srqD7UmiApJhjaGMRSLklz3wlVza4hrr2kO+IljaoiHip9UqyhiMZH2VCv8ZEYzlLOIhDUUIDg5bJMI6BVuSDPmKB6mcg+NJQprvYJK1PKIm6EVPAlX1w3XYrmQw7dAaU+luDjGYdlnWGPHT4/nhSN5z2QYOj+RoiWlsX97KdV/+w3jotR2b2LG5c9YdJUKGv0jpeGStYyaoavWkeSyk4LpTTzLGzaNfV1X8yXjXrQhfUQzHeyIoCkR1wWh2fFs0JDjRiBu10iqK2xVFcPEp7XzrhrPL77KNnf57J2xOHvAP6/64I/gqoYmwRqoY5kUIymVxOlQFdEWUlTmEAE2IE86/iQoU4KeztP1YVJxPNiKmIGZoVU5BSxIaaWsBjQoICAgIOCaeze+xxcCCjcQLIS4RQjwhhNglhPj7Yz2/5HBQSUhXWN0W540XrqanOVpzf3vC7xCWYsGUjlnZWvv4yDRuvzNVo3hmMFPzniFd4cuvOZ2hjMWdDx1iOGPxH395Bp955Wl8+IrNdCQjDGUd3vLdB3n7fz3MW77zIH0piy/8eg+f+cUuPv+rPfSOFbjmjG4A3nDhGoYyNr/bM8iTfWnu2TNIquBiF1dQFBwPz5M82Zdi/0iO3f1pjhbCbMYBJ2b7mT7a9WTNj7NKy1yGBZLlf8pUOkj0pvK+g0TCZEmTyrr2KFs7mwIHiYCFpUa5VfGVUZY1hdBVhYihYzmSvO35MTItfzVWSXE7pPsrNta0xYPGQMC8oqv+wFlzxB9YPTTq17MFx+bQSB6kpKc5TCpnFycVFK7YtpS87XHLHTt59dkr+PBdj3PFtqXAuMNPaRwppCu0xkP86MGDNEUMbr5oTdX7/h9ftplljWE+cuWWqu2feMWpPGdVC1uXNQYOEgE+NepagIGMzTVndPMP33+YhnCIkaxdVCjxuG3HRlzP5WMv31pVvj585Ra2dgVlK2BhkFKSz+ex7Sl0sQMCFohSuIurv3APN37jAa7+wu+495lhrjt3BW8r9r2/+ts9vOmF63iyL03vWJ6RvE3edtnTn+WBvcPETb9N60pZbBNIwKNvrMBo1qYvVeBXewbI19BV7khoeB6kCh5DWYummI6mCNJFSWYpJbqqMJr31RBsV/orkjWF1phR5QAAvhpDrT6x5XhIYGVLGF3zzxnO+PasbY+A9JULFSEwNZXhrL+vs8GXP9zV68/2aUrxrSQEcVPD9SQPHcyX76MUJ42l9ChUqGOWQ3VoCroifDVFz8P1JI8fzgH+CumSrQKImzpDGQsJ5ZXdhuavSO8bK4D0V9k3FSfPSyv1S5PQuiKwHImmivLkdSnEwb4h3+ZEWMXzPEayLtmirY7rL6j5ySMH+dv//BPXffkPHBgu8Mxgmv0jOR7YN0xj1KCnOUxnMsS1Z/fwr7/xx2X+8uv3c/X2bkbzc1vXOY7Hg/uHueuRwzy4f4Rf7+rjxZ/+Na/84u958ad/zV07j3DP0/08emiM/UNZelMFRrMW37jnaQ4N27z1ew+ydzDDM4NZDo3mSRVsCo5LznJJF2xUIdh5cJSHDqX8smu7SE/SlyowlnewPA9ZVA6REhQhfDVUx2Usb1OwXRzPoyVu0juaJ1Nw6R/NkC44PHQgg6pAU9RgNOc7uiTDvtJIKcqpoggKrsdAukBnMoSuCDIFf2epL5kpeMXfX2cgbZEqOIzkbAq2R8H2UIQf5iKVt7Hd0nMJRtGpYDTrIIQ/3GS7EkXx1SaAcplyPPCkxFQVrKIzUSKslu2QEoazNiFNRVVEebytLeE/Nw8fzKKrgpaYwXDGT2tzzN83VHzGmqO+43QybDCc9Y/pSPpxGzz8sCCO52EUFU/yxRAEarH/XOpFj+UcX51FEeWm497BPK6UZCybRw+NAoLHDo1huZK2ZJjGaIj33PFI1bjle+54hIcPj55wGZ2ILiAzYSI3Y81M1jqkwd6BAq6USOmrgewdKJzwKmxDg4GUX0dnCy59qQIDKRvjBK9rqjA4Vl3fD445NSf/JzJx3HWm47CeJ/nJY71V77KfPNaL50k0mCTrn3fGxx1DGpMcIhQhjpq/ivCVjiuJmL6i0Yky8T1W+l5ScZ5Y33neXI0G1xexGqFeptseEBAQEFBfPJveY54n2dOf5ne7B9jTn140aVyQZT1CCBX4LPBC4ABwrxDiDinlozO9RsnhoFJW7LYdm/j4Tx5n72COnuYwt+3YVG78T5S7nBgLxnY9brpwTTkOaUhXuOnCNdju1M3TicoQQtSW1+5L+WoUE++5pCHEPXuGec8P769Kw7fv28t9e0f52vVncOuPdlZ1Xm65Y2c5pEje9vjET5/kk684FQDHgYMj+bIE5MUbWuhqCPOeO3ZWXH8jP/zTQfYO5tjek6QpapT39zSHecMFq6uO/9yfb6NvzKrKx9t2bOSzv9xVlhy/bcdGnjwywpf+b/9R97/pwhU80xibZNPh4TSf/MXTvOvS1TwzMNnmsWyO9//3rpo2Vt5v4v6J3y/e0MILTumsPv/yTSRDGjd/609V1zx/TWLGZfpY+NVTY5PsP39NYrJ6hIC1HUFojYD64GjlFvzBorztoiqivGo+GdGxXI/P3r27HKJgdVuMFXPqhRQQAL96KjXp3XXG8gRhHTZ1hdndZ6EKfxWRqkhAJRFW2Hk4zdLGCMOWU6WAUpqQrnSKUIQfpqn0/u5uMvn0NacxlCnQGDHZ1t1I1nLoboqyosX3Et68tIFNXckgDl1ATaara99356N89Kqt5bZlQ0QvOucYrGwN0dMY57RlChs6E0H5CqgLpOfxF1/6Hf9+43PRNA1xlNWJAQHzxc7Do7zrB9WThO/6wSPccP5K8rbHlq4EV27r5p3ff5irt3fzrfv2cfX27vJYQU9zmJb4mvI1Sm3crsYwX/vt09y3d5SQrnDLSzby1ECazUsbqu5vuXDf3tSk87/2u70MZy1u27GRDUvCPLg/U9WWueUlG2mK6vz80cOc1t3CrXc+wIs3tpOzWia8O8bHFEK6wu1Xn8pozpm2T1+6v6GJSf3tmy5cw7fu28erzuzhyEiOf/2/p6vyI6QrvPVF62iKGLzj+w9U3eNnjx3mOava2NOf5pv3Ts7HG89fza13Vp+jawqfumNnzbyvvNenfv7kpH0lW685o7v4ezxZzofSvr9+3mocz+OLv94z6fzbdmzktefAXY/2c3AkX14EU8qjd1+2gYcOjJbPKZWfT//iKb5+/ZlzVmZLjj2VZeaWl2xkbVuMhw6OlRfofPZV23hLMexs6ZjXn7+Kt37noUlpvXXHRt79w0ewHMl15/RUpbWUV1dv7+YXjx/hunNWcHBkrOqYN71gLffvHZg0vnLLSzbyn7/fy2je5g0XrOFv/v0B1rbFeOVZPeXxre09SV6xvbtq3OZvLljNLRXXefML12KqCjd/c1yp9R2XrGfvYIZP/PTJKcty6bwP3jV+3i2XbeR7DzzFjq1dfOC/H69+bhtC9I1mSETCNdNhaIKXb+/mn3+5a1Ie3nzRGiK6ypd/+yhvuGA1n/3lrpr5OdHGj1y1hYKd490/fKTquf3sL5+q+UxW5k2t56ay/ij9dm9+4VoMzePGb4yPN777sg3ETHUKFd2jrKA6DmwJ9++d3LY9Z3UCXUzd7gUYzsGhkcKk/c0xk8bw9OdOty+d98OdlMpi6bdO5yVRQxz3dTMWPNGbnbQ/FkoQNaY/9zfT7JvuvrXCUJfCRps6/OHpyec9p3RdAQ/uT03af9bK6dNqqPDHfenJ5604eh4dbf+vjyOdcyVbfrR0zDf1Zk9gU/3ZU29pD1i8nOzldiHuuRDvMZj/tJacQSaGAStFWZhLTjStC7Ws7Exgl5Ryj5TSAr4JXH4sFyg5HPz4pufyzRvO4sc3PZeXbOrgY1dt5TOvPI2PXbWVl2yq3j/xBynFgjl7ZQtdDRG+dd8+XnfeSt544Wped95KvnXfPpqiU+u1TVSGKMlrVxLSFdri45PclffsG7N4zw8ne3Bfd+5KAIYyds3OS+X4Yt72yqtI0pZTpWTx6rNXlAvH+PV3ctmWLgCuO3dl1f7LtnRNOl4RooaX+fg1St9fsLFrRvvPXt1e06azV7cDsGVZS839W5a1TGlj5f0m7p/4vWae/PARbFdOumbl5O9ssW/IrWn/RPWI7iY1cJAIqBuOXm79stsY0YkaGkOZAre8ZCO6JmgIa2zsTPDel2zgS9dt5+IN7Vy0vj2YtAuYU/wyO/nd1Z9y2TfkcnDIZThrM5Au0JvKM5y16UvlGUgX8CR+vGZDq1JAKU1IS0l5MHJde5zNXQm+cO3pLG0y6UhE2bqskeev7+DU7kbOWtnM89e3s6otVi7zle2AkgNlQAAcra4tkLc9sgXHV0aLh/j3e57m4y/fyqnLGlnT3oBhqEH5CqgrPNdFAq/+3K/JZDJIuThWEQSc/BwerR26s7TQ5fXnr+LWO/0+5qd/8VT5/8o+5kQni9t//hS7+tLlvnze9rj1RztJFyYrSRwZdWueX1Kwes8dO8kWlEltmVt/tBPbkbx0Wze33um/L646o7vGu+ORKjtsVx61T1+6f63+dikPPvmzJxnIWJPyI297fPR/nuDpipCnpXu8+uwVDGYtbv957XwspaPynKcHMlPmfeW9au0rnVPr9yjte++PdtKXKtQ8/z137ORFm7tqqoTe/vOnKNgeXclwzfJTUhSYC2o59tz6o528/vxVVTY8eGBk0jGOQ8203lIsA7XSWpn31527kl396UnHfPJnT9YcXynZ5Zcl3+bXn7+qagFQrbGoWyZc5xM/fZLBrFW1bTBrlR0kStsmluVa5916506uO3dl2UGitP32nz/Frv5MzXGoUjquO3dlOa8m5uHtP3+KwaxVfm6mys+JNu7qS5cdJMaPeWTKZ/KWCXk18bmprD9Kv93u/gwfuqs6ve+789Gyg3clpbBts83h4dpt28PD7rTtXoCxXO39Y7npzz3adTO2O2kx2q0/2knGPrHrDqZr7x9Mn9h1p+0fTBGGui+V5+AU5x0sLc4arb2/d3R6m3rHpjhv7MTScrzpnAuOlo75pt7sCWyqP3vqLe0Bi5eTvdwu1LMy3+8xWJi0TuUMUoqyMFfMRloXKkBsF7C/4vsB4KyJBwkhbgBuAOju7p50kdJAcKXHzRkrmquOWRnWZ+SRs7w5ytsvOWWSp0tJeaIWE5UhOhIh1nUkZnyNI1M8IDnLH0gxNVGlVAGUJ2gqvxfDkZKz3Kpjh4/iZJErOFX7aylhzNRRo7/ioZ5uf19q+kqhd4r9vcX9U6l1lO43cf/E71PlScZyJm3rPVoskhocrcyWJjlq3aukHtHdqBIyQ4GDRMC8ccLltkiqYGPqCmuTcUKagiIEq5pjsx7bNCAApi+3U5fZ0rtK0BjR0VUFVQjyjoupqXhS8lRfmmRYYzRn8V8PHCivtPv3e57mQ1dsoTGicdaK00mEdJpiOodGghX7ATPn+Mqt70AZ0hWGshb/+LLNNEZV3n7JxrJCSUDAXHG0NsLR8IrBuK/94m/5zt9eiKYFbYKAuedo5bYzGa7Zz1Ym9JNLfcmj9TFh3MkiV9GvzNsegxO15pm6vq9UsJqqX5yxHLz0uIP/wBTXqrQjM6HfP/F+te5f69hSGqdL/8RtI1kbTx57Pk6V97WOmc7Wib/HTNLRn8pPuS+dd9g/kqtZfjqSJ9Z/n67cTuXYU5m+kK4wUQg1b/shXVRl+nGU6fIxZznl33DiMVONr+SKimylfRPHnmYyFlWrTE1lx8SyXKssTrxn5bFTPW85y4Epym/l+ZXltbR9Ohtnmo5a1zvamFjp89S/ma9WU73abhObO5McD8fbtp2Yron7+qY4t28G5063byhjTZkvU+XZTK57Imk93utuXJKoWRe1xUPsPDS2IPbOxT2nS+fxcCLjXwtBvdkDgU0LYc+J1LUBATPlZC+3C/WsTIxGACf2HpsJC5K/0ziDzKVixmykta5HqaSUXwC+ALB9+/Y5XXo00eFhphMeEx01upuiM75G5xQPSLgYDO9ffrmbW16ysUoG7tYdG/nnX+4qH3vzRWvobo7wzRvOImpoVddriurTOllETK3m/srvR7tG6XtrxUM93f6jVQpT7W+fcP2j2TNVmqZKT3RCAMLj9aQ/WpktTXJMSl/CDJwjAhaMEy23ORtUFcy0QsQUrGhOoGkLJVQU8GxhunI7ZZmteJdkbBtFSgxNwbX848ZyNuvb47QnDOKmxj+8+BRa4yYIj7devKFKEaJEd9PcNfQCTj6Oq9wW69p/fNlmVrdGWdkSJh60FQLmiRPtj3mui1AUUBQcx0FV1SDsRsCcc7Ryu7EzwftfuqkqdMH7X7oJXfUXKZT6yUDV/9P1m0tOFuGKfmVIV+hITK6vp6rvKxWspuoXRw2N5phR3tcar32tSjuiodr9/ol9aFmc7J3q2FIaPTl1+ispKXFVKm7ONB9L95jJMdPZOvH3mEk6WuMhdvWla+4bylp87/4D3HzRmqpwCkdbYDMTpiu3Uzn2lMYxQrrCB1+2hU/9/Imqa4Z0hZCmcOrShinz6mi/ecTQyr/hxGOmGl8JV9iVt71JY08zGYuqVaamsmNiWa5VFqe6pyKmHocKGxqCo5fFkjrD0fLzWNMx3fWmqz+kBE2pfdy+oSz7BlN87foz6RvzHXE3dyaPe2HD8bZtp0pHad+JnDvdviXJ2tftSJrl37Ge7J3uurXCUJfqooF0YUHsnYt7TpfO4+FExr8WgnqzJ7BpYew5kbo2IGCmnOzldqGeldl+j82Ehcnf+XcG8e974mldqFmsg8Cyiu9Li9sWZplRewAALzRJREFUlNmQKD6Wa2xekuS2yzdVdbhu27GJr/12DwBP9qVpiuh86brt3H7NqXzx2u20JQwuP7WLN164mhvOX8ma9hgbOpOcvbKFjUuSfPzlW8vX+8Y9T3PbjsnXv/MhP6u/+ts9Vft/9ODBScd7Uk57jdL3n+08OKP9v3uqt+b17tnVC8BD+wZq7n9o/8CUNlbeb+L+id9r5snl4wNilddc2zH7FdXajmhN+wMHiYB6Zrpy6wKNsRDdTQ1s7fYl3wMHiYCFpnaZ3UhrXKW7yf/rTIRoj5uYqs6ShhBRU2dte5JLNnWyrqOB03qauGzrEs5a2cxZK1pZ0xEPVuwHzCnT1bUHRzzWtEZZ1xoPHCQCFiXS87jmn/+XQiFY0RSw8Giawku3dvGtG87m83++jW/dcDY7Ni+hIaLzsau2oqtw245N/OjBg9x04Zry/5V9zPe/tLq+vvmiNaxui5X78qV+5pYlk1dnr+2I1jy/pGB1246NRAxv0juhFM7u+w/s45bLNhLSFb5z7z5u27FxyjGFkK6gK6Jmu6iyz166v99/rr7eTReu4c6HDvKmF6ylJWpMyo+QrvDWF61jRXN00j3+/Z6naYoY3HxR7XwspaPynBUt0SnzvvJetfaVbK31e5T2vfclG2mLmzXPv23HJnRV8rw1rXzois1V+9556XpWtcb4+0vXs7Y9xheuPZ3Pvuo0fvTG8+Y81m7JsafSnve/dBOblybK4WX/bFMHfzsxPZdvQlMFQ+ksH3hZdXpuLZaBktNHrXy86cI1fPW3e1jVGpt0zJtesLbm+MotL9nIl361u2os5ou/8hcAlY6rNRZ164Ry9+YXrqU5YlRta4oYvPmFa6cdn6p13i2XbeSrv93DOy9dP/m5bY0Wx6E21kzHV3+7h1t3bKxZXm6+aA3NEYM7HzpYfqZq5efE521VW4z31RgLnOqZrMybWs9NZf1R+u1Wtkb5+0uq0/uWi9fxnfv3c8H6TrYX+zpnrGieM+XHqdq2azui0+4DOGWK/acc5dyjXXdDe3JS3r/v8k1sbE+e0HWP99wTuW6tMNSlumgh7J2re06XzrngaOmYb+rNnsCm+rOn3tIesHg52cvtQj0r8/0eg4VJa8kZpPKec+0MArOTVrEQsWGFEBrwJHARvnPEvcCrpJQ7pzpn+/bt8r777psnC+cPy3J56NAovWN52hMhNrbHeXIgzZHRPB3JEOta4zzRnyp/P6U9wYHR3JRKFZ4neWYwU96/JB7ikSNj5etv6khwKJUv72+KaTx5JENv0YN8bUd00nfgqMcs9u+10ljDYeGYaq6pyuxILj+TewUEzBazX27jJt1NKk2ROIahzpqhAQFFjrmVWKvcTiyzS5tUFAgc0gLmitkvt0EbIWDumZU2AkA6neaV//y/uI6DUJSyWkRJSUI3TaTn8flXn0oikUDXdaSUCCHQNC1Qlwg4Fmat3E6ksi/dmQwxkrEZzBaImzpZyyFiaIzmbBoiBomwwljOYyBdIGKoJEIaa1qjPNabKfe9tyxJTtlWHsnl2dWbZSBdIBHSCOkqh0bztMVN2uIqntRoimk8dSRDb6pAc9RXuYqHoXfMJWc7hHWNvlSBVa0RUnm3/O7oblTZNzz+vTGiMpy1AWV8W1RlOOMfs6QhhMAPB9oSM1EVD9dT6E8XaI2ZpAs2MVNnNGfTEjVwPclQzqYhrDOUsWiOGggBWcshpGv0pwq0xk00VeK4gpHieVnLxXJdYqbOSNaiIWKQsxzChkZ/ukBbzMTUFIZzFmFdY6R4j5xlEzZ0RrM2IUMlaqgUHAdVUcvHjBb/HyvYGKpK3FDJ2g6aqjKcsWiMGozlbRIhnbzjYKoqqhCM5m3iIb1sc1tcZeehLO2JEBvaYzzam6Yv5edLvpjnIzmbmKkRMzXWtc2oPzQrbQTH8dh5eLQ8NrSxMznJOX3iMZXjR50Jk96UVU4reAgUBjMWHYkQjueRyjs0RQwKrocAhnM2jWGdlpjKSNYjVQxZ0RjRGcraNEZ0kmGF0ZwfBqE9bmKoCvuHc7QlTCKGIGtJBtIFepoiZCx30rhMX6pAW9zEcV00VWUwXaAtHkIR0Je2aIzopPM2sZDOcNamNWbgeB5DGZvWmF/OCg4MZQq0RE0cKclaTrnMJsM6GcshamhYjkPE0BlIWZiGQtzUcDwXUFAVieuJsrqCqfnpaI2bOJ6LpqjlMjScsYiaGhFDZThrEQ/pIDyQ/jO2tCGE7clyXstiXpfSqioSU9PIFFw/3yryajhr0RwxsD2PdN6lIaJTcF0MVWUoY9EUNcr10WC6QEvMxNAUDhRtzRRsoqaOxEVXNPK2y1jeoSVmIpE0R82Zhgmc87bt0dq9qVyexyr2n9IRLTsLn8h183mHhw+PlvdXKmmcyHWP99wTue50LIS9c3XPY+CkHLetN3sCm2bdnhMut/WW9oDFywzL0qId/3o2PSsLkdaJc9PzFZr6RMvtgjhJAAghXgx8ClCBL0sp/3G6409WJ4mARcWcDcgFBMwhQbkNWGzMSmM7IGCeCcptwGJk3pwkhBD+ZyH419eeyfX/eg+KqqJqGt/4q/NQVX+SUdMmr2YtOVIAuK5bFbJDSjmjbQvNXNlUj2mdB4K2bcBiI2gjBCxGgnIbsBgJ2ggBi5Gg3AYsNoI2QsBiZMpyOzeaajNASvlj4McLdf+AgICAgICAgICAgICA2UG6LtJ1KQdRL24rfZeuC4rCa7/0W5Dg4YfhuOoTdyEUBVXTkJ5HyYlfMwyQEqEofPm1Z6FpGtf/2x/4jxvPR9M0HMfBcRyu+9Jvy9sAHMfhVZ/7VdW248FxHN+OE7hG5bVmw6b5uu5CcrKkIyAgICAgICAgICAgICAgoL5ZMCWJY0UI0Q/snWJ3CzAwj+YcD/VuY73bBwtv44CU8pKZHnyUMgsLn56FJEj7/HEyltvAhvqxAWbfjmMqs3BStBGOlyBt9cPJXG7rxZZ6sQNOHltOxjbCsbDY7IXFZ/Nc2Dvb5bYW9ZbP9WRPPdkCi8Oe2W4jHA/1lE/1ZAsE9kzFydy2LVFvNtWbPVB/Nh3NnpO9bVtv9kBg00yYz3Jbb2mHwKaZUG/2wPQ2PRvaCHPFsyWt9ZjOKcvtonGSmA4hxH1Syu0Lbcd01LuN9W4fLA4bj4WTLT3HQpD2xZv2erA/sKF+bKgnO6ai3u07EYK0nbzUU/rrxZZ6sQMCW6ainmyZCYvNXlh8Ni82e0vUm931ZE892QKBPTOlnuyqJ1sgsGe+qMd01ZtN9WYP1J9N823Psz39MyGw6ejMpz31lnYIbJoJ9WYPBOV2rni2pHWxpVNZaAMCAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAuaDwEkiICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg4FnByeIk8YWFNmAG1LuN9W4fLA4bj4WTLT3HQpD2xUs92B/Y4FMPNkD92DEV9W7fiRCk7eSlntJfL7bUix0Q2DIV9WTLTFhs9sLis3mx2Vui3uyuJ3vqyRYI7Jkp9WRXPdkCgT3zRT2mq95sqjd7oP5smm97nu3pnwmBTUdnPu2pt7RDYNNMqDd7ICi3c8WzJa2LKp1CSrnQNgQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEzDkni5JEQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQMC0BE4SAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAc8K6tZJQgjxZSFEnxDikYptW4UQvxNCPCyE+JEQIlHcrgshvlrc/pgQ4h0V51wihHhCCLFLCPH3C2SfIYT4SnH7g0KICyrOOb24fZcQ4tNCCDGLNi4TQtwthHhUCLFTCHFzcXuTEOKnQoiniv83FreLog27hBAPCSG2VVzrL4rHPyWE+IsFsm99MX8LQoi3TLjWnPzOc8FisnU2mOJZqfkbn2wcaxmvF45WRoUQphDiW8X9vxdCLJ8DG2rm3YRjLhBCjAoh/lT8e88c2PFMsY7+kxDivhr7p6w3Z+n+6yrS9ychxJgQ4v9NOGZO8uFEnt25eGccDydrfTuT52OxI4RQhRB/FELcudC2zCVBfVvTngWtdyvus2D1b/Hai6YOXgx17Ynk50Iw1XNZrzYLIUJCiD8Iv6+7Uwhxa3H7imLdtatYlxkLbetU1Ou7tZ7eh0KIBiHEd4UQjwt/3OWcBbbnTcXf6hEhxH8KIULzfP+6rleCMj0jW+qmTC90eZ4r6rGNcLS25jzZUHf1xxQ2vVcIcbCirfviebRnwdpC9VZua/02C029vWOmaovWA7P13jtauRTTjB0IId5R3P6EEOJFJ2LHMdr05mIZeUgI8XMhRE/FPreibrljnux5jRCiv+K+r6/YNyd96BnY9MkKe54UQoxU7JuLPJq2PhE+8zk/WFf17VxQb/XlfDBb9d68IaWsyz/gfGAb8EjFtnuB5xU/Xw+8r/j5VcA3i58jwDPAckAFdgMrAQN4ENiwAPa9AfhK8XMbcD+gFL//ATgbEMB/A5fOYh52AtuKn+PAk8AG4CPA3xe3/z3w4eLnFxdtEEWbfl/c3gTsKf7fWPzcuAD2tQFnAP8IvKXiOnP2O89BuV40ts5imms9KzV/45Pt71jLeD38zaSMAn8DfK74+RrgW/OVdxOOuQC4c47z4xmgZZr9NevNOfxtjgA985EPx/vsztU74zjz66Ssb2fyfCz2P+DNwH/M9TO+wGkM6tva9tRNvTvht5q3+rd47UVRBy+WuvZ483MB7V1Ubcji8xgrftaB3xefz28D1xS3fw7464W29VjzvA7sqpv3IfBV4PXFzwbQsIC2dAFPA+Hi928Dr5lnG+q6XgnK9IxsqYsyXQ/leY7SVZdtBI7S1pwnG+qu/pjCpvdSMf46z/YsSFuoHsttrd9mof/q7R3DFG3Rhc6noj0n/N6bSblkirGD4nPzIGACK4rXUWchXTOx6flApPj5r6kYzwDSs5zPM7HnNcBnapw7V3Nfx1SfAH8LfHmu8qh4zWnrE+ZxfrAe69u5+Ku3+nKe0lw37f2Z/NWtkoSU8lfA0ITNa4FfFT//FLiydDgQFUJoQBiwgDHgTGCXlHKPlNICvglcvgD2bQB+UTyvDxgBtgshOoGElPIe6ZeerwEvnQ37ivc6LKV8oPg5BTyG3/m6HL8zSPH/0j0vB74mfe4BGoo2vgj4qZRySEo5XEzbJfNtn5SyT0p5L2BPuNSc/c5zwGKydVaY4lmZqgyeVBzHM1gPzKSMVtr/XeAiIWZPBQemzbt6Y6p6cy64CNgtpdw7R9ev4gSe3Tl5ZxwHJ219u4iej+NCCLEU+DPgSwttyxwT1LfHx3zWuyXmtf6FRVUHL4q6drG1RxdbG7L4PKaLX/XinwQuxK+7oI7srUU91oX19D4UQiTxB1X/FUBKaUkpRxbUKNCAcHEcKAIcms+b13u9EpTpo9pSb2V6QcvzHLEo2ggLQT3WH1PYtGAsYFuo7sptvf02UH/vmGnaogvKLL73TmTs4HL8xcUFKeXTwK7i9U6Uo9okpbxbSpktfr0HWDoL9z1ue6ZhrvrQx2rTK4H/nIX7TskM6pP5nB+su/p2Lqi3+nKuqaf2/kypWyeJKdjJ+IPycmBZ8fN3gQxwGNgHfExKOYRf2PZXnH+AuS2AU9n3ILBDCKEJIVYApxf3dRVtmnP7ihJLp+F7UrZLKQ8Xdx0B2oufp8qvOc/HGdo3FfP9O58Ii8nWueRYf+NFzwmW8flkJmW0fIyU0gFGgea5MmhC3k3knKKc3n8LITbOwe0l8BMhxP1CiBtq7J/PZ/oapm4sz3U+lJhJ2a2Xeq5e7JhTjvJ8LFY+BbwN8BbYjrkmqG9rU0/1bol6qH+hPuvgxVzX1nN7rMxiaUMWJTX/BPThD5rtBkaKdRcsorJRR+/WT1E/78MVQD/wlaJ06peEENGFMkZKeRD4GP74z2FgVEr5k4Wyp4K6fEaDMl2TuinTdVyeT5R6bSMcra25UNRl/QG8sSi5/mWxQCGE5rktVK/ltm6pl3fMxLaolHKh33kwe++9Exk7mKsyfazXfR2+QkGJkBDiPiHEPUKIl86jPVcW67TvCiFKc3cLnkfCD0WyguJC6yKznUczYT7nB5919W291JdzzKeon/b+jFhsThLXA38jhLgfX5rEKm4/E3CBJfiVyd8JIVbWkX1fxn/I78MvJL/Ft3deEELEgO8B/09KOVa5T0opWWDPynq3L2BueTb8xkEZP36myzvgAXzp863APwE/mAMTzpNSbgMuBd4ghDh/Du5xVIQfw3sH8J0au+cjHyYRlN2F5yjPx6JECHEZ0CelvH+hbXm2UQf1bYm6qHdL1GP9C0EdPNvUa34upjaklNKVUp6Kv0LsTGD9wlp0fNTLu7UO34cavjTvv0gpT8NfpLJgcYOLE3WX44//LMFXFv3zhbKnFvXyjAZlekrqpkwvhvJ8klFXbc1a1Ev9AfwLsAo4Fd+B5+PzbcBiags9G6mXdwxMbosKITYtpD11+N5bMIrvtO3ARys290gptwOvAj4lhFg1D6b8CFgupdyC79T91aMcP59cA3xXSlk5Z7gQeRQwR9RTfTlXLNZ6b1E5SUgpH5dSXiylPB1/Ndfu4q5XAXdJKW3ph7P4P/yK9yDjag7gvyQPzrd9UkpHSvkmKeWpUsrLgQb82DMHqZYZmnX7hBA6/sP371LK/ypu7i3JEhf/7ytunyq/5iwfj9G+qZjX3/kEWUy2ziXH+hsvWmapjM8nMymj5WOKcqBJYHC2DZki78pIKcdkUU5PSvljQBdCtMymDcVVPaVQSd9nsiTdfD3TlwIPSCl7a9g45/lQwUzKbr3Uc/Vix5xwtOdjEfMcfPWtZ/Cl9i4UQnxjYU2aM4L6tgZ1VO+WqJf6F+qzDl7MdW09t8cWYxsSAOnL1d8NnIMvz6oVd9V92aizd2u9vQ8PAAcqVmV+F3+CeaF4AfC0lLJfSmkD/wWcu4D2lKirZzQo09NST2W6XsvziVKXbYQZtDUXirqqPwCklL3FiWcP+CLznFcL1Baqy3Jbj9TZO6ZMRVt0IcK+VjKb770TGTuYqzI9o+sKIV4A/AOwQ0pZKG2vqIv3AL/EX10/p/ZIKQcrbPgSvtr7jM6dK5sqmKReOQd5NBPmc37wWVPf1mt9OQfUW3t/RiwqJwkhRFvxfwV4F/C54q59+PFOKcrjnQ08DtwLrBFCrCiuArsGuGO+7RNCREqyfUKIFwKOlPJR6cuDjQkhzhZCCOA64IezaI/Aj6/4mJTyExW77gD+ovj5LyrueQdwnfA5G1/i7zDwP8DFQojGoof7xcVt823fVMzr73yCLCZb55Jj/Y0XJbNYxueTmZTRSvuvAn5R9OCfNabJu8pjOorHIYQ4E/+dNmuTh0KIqBAiXvqMX/c9MuGwqerN2WbKuHRznQ8TmEnZnZN3xnFw0ta3M3k+FitSyndIKZdKKZfj/2a/kFKerCvpgvp28n3qqd4tUS/1L9RnHbyY69q6bY8ttjakEKJVCNFQ/BwGXogfa/Vu/LoL6sjeWtTbu7Xe3odSyiPAfiHEuuKmi4BHF8oe/DGgs4tjLaJoz2MLaE+JunlGgzJ9VHvqqUzXa3k+UequjTDDtuZCUTf1R4mSM0KRlzGPebWAbaG6K7f1SL29Y6Zoiz6+kDbN8nvvRMYO7gCuEUKYwg8Dvwb4w3HacUw2CSFOAz6P7yDRV7G9UQhhFj+34E+snug7eCb2VNZpOxh/185VH3pG9YkQYj3QCPyuYttc5NFMmM/5wWdFfVtv9eVcUm/t/RkjpazLP/zByMOAje/h/TrgZnwFhieBDwGieGwMXwJ3J35l8daK67y4ePxu4B8WyL7lwBP4Fe/P8KVyStfZjt/I3A18pnTOLNl4Hr7s2EPAn4p/L8aPR/Vz4KmiPU3F4wXw2aItDwPbK651PbCr+PfaBbKvo5jXY8BI8XNiLn/nOSrbi8bWWUpvrWel5m98sv0daxmvl79aZRS4Db9RCxAq1rm78BvWK+cx724Ebiwe80b8ev9B4B7g3Fm2YWXx2g8W71PKi0obpqw3Z9GOKP6kW7Ji25znw7E8u/jvsi9VnDvr74zZKssnw99Uz8dC2zUH6bwAuHOh7ZjjNAb1bbUtdVHvVtizIPVv8dqLpg5eDHXtseRnPfxN81zWpc3AFuCPRXsfAd5T3L6yWHftKtZl5kLbeqx5vtB2FW27gDp4H+LLrd9XzKMfAI0LbM+t+BMgjwBfn+/yVe/1SlCmZ2RH3ZTphS7Pc5iuumojMEVbcwHsqLv6Ywqbvo7f3n4If+Kqcx7tWbC2UB2W20m/TR3YVFfvGKZoi9bL32y892qVS2Y4doCv5LAbf37q0llM19Fs+hnQW1FG7ihuP7dYtzxY/H9WyvQM7Pkg4/33u4H1FefOSR/6aDYVv78X+NCE8+Yqj2rV9TMab5mLPKq3+nYu/uqtvpzHdJ9wvTdff6VJ/ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAk5pFFW4jICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIOB4CZwkAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAp4VBE4SAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAc8KAieJgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgGcFgZNEQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAwLOCwElikSN8fiOEuLRi28uFEHctpF0BAQEBAQEBAQEBAQEBAQEBAQEBAYsVIYQrhPiTEOIRIcR3hBCR4vb0Uc5rEEL8zQzvcZMQ4jEhxL/Phs0BATNBCNEuhPgPIcQeIcT9QojfCSFettB2BQQEBNQzQogOIcQ3hRC7i3Xnj4UQa4UQjxzn9X4shGgofi63B4QQO4QQfz+Lds/q9U4mAieJRY6UUgI3Ap8QQoSEEDHgA8Abjud6QghtNu0LeHYghJBCiI9XfH+LEOK9E475kxDimzO41tlCiN8Xj39s4nVqHH+BEOLO47U94NlLxWBH6e/vi9ufEUK0VBw3bRkrdizvFEI8KIR4VAjx4xnce9oBlYCAmSCESAshlgshcsUy/KgQ4nNCiJrtOyGEIoT4dHGA72EhxL1CiBVHuccvhRDb5yYFAScTQoilQogfCiGeKnYWbxdCGEKIU4UQL6447r1CiLfMwf0vE0L8saIu/qujHP8aIcRnZtuOgMXBVIPCM2lXHk8Znu69H9TNATNlwkTdj0qDadMcP7H+nfWBsWJZ3CeEEBXbfnC0tq44hsnDgPqkTsvjMfXjZumeNwohrpvLewQsODkp5alSyk2AhT8GOxMagJnWc38DvFBK+eqZHByM3QacKMX39g+AX0kpV0opTweuAZbO4T2DchtQxUzmEyYcP+fv3GCeIWA6inXn94FfSilXFevOdwDtx3tNKeWLpZQjxa/l9oCU8g4p5YdO2Ojx+8zq9U4mAieJkwAp5SPAj4C3A+8BvgH8gxDiD8XB4ssBihMpvxZCPFD8O7e4/YLi9juARxcqHQGLmgJwReWARCVCiFMAFXiuECJ6lGt9FbhBSnkqsAn49mwaGvD/t3fm4XbN5x7/fIk5lVbxPKlLUzE1SGIs19CI4amrihpiqLGK1tzW8KC9wa1ZzVPVEGNFzYIghAgurkQiQV0iNc/Sa0gMee8f77tz1tln7X32OSJnej/Ps5/s9Vu/9dtrn/z2b72/d0wKVJQdlVd7BYUTgPvMbJCZDQDSKzOZ17wUa+ZAYACwbY1+w4DvAQPNbHVgO+CjeXB/STcnNoo3A7ea2YrASkBv4E/AYOA/al/d5s+av6RtAeAvwNZmNghYAxg7tz4z6V50hFK4FXJtThqlaKj7gNYDIwZTWH+/QcXYR8AG4M4PQN8Grvk2jRsPk85JZ52P8wxJvczsYjO7qqPvJZlnjANWKDZI6i1pTOhZJ1d0sMApQP9wJjq9Vj9JFwPLA3dLOlzSEuFsNknS45IGRr/hkq6WNB64Oo5HhD53uqSfSzotxr4n5GMk/TEcMJ+V9JeiU1vSoxkKfG5mF1cazGy6mZ0naf6Ys0/GPNwf5tgPxkr6u6Tn5ZHOinNrSXpI7nw8WlLfaB8r6WxJTwGHSto0bBWTJV0uaaGO+PJJp6GuPaGazvjMTeefHscmwBdVa+czwKuV4zo22L6SHi44GW8U7a9IWrJEHpgT2CMP8rhFHhT0TGHMW2PdnSJpv8I9/CQ++xlJY6KtOF4/SQ/EGj9G0nLRfqU8gONReUDJDt/sn7NzkE4S3YfjgV2BLYGFgQfMbF38h3t6GKbfwT2R1sSVcecWrl8TONTMVpq3t510E77EjROH1zi/C3A1cC+wTY0+FZYG3gQws6/MbCqApHXlUX4TYqFeufpCSYuFkF3tILRqtE2MxX/F9n3NJCmlL/Ba5cDMJkFdZUkzJB1R2HweH22LSRoVwsyzkobNk2+SdGnM7EvgUaoUdwX6Am+a2ezo/5qZfQgg6SJJT4VgfXzZxZK2iHX4aXmq2d7Rfoo8cn+SpDPm/jdLugBDgZlmdgX48xuXCfYFTgOGxTO4spYNCIXZy5IOqQwi6ReF5/UlCocIedaUMyU9A6xf8vnfAnoB78fnzzKzF+LareUZqiZIul9SCw9/SUtJuinW4iclVYx9P1ZTtqEJkr41d/5cSQdTUylc7KQaRopgUKyHL0r6VfRv6LlfQq7NSXt4DFgGyvdJkhbEHXnnrL9VirFSBZg8s8mFcuPHffL0r60px/6GOxoB/Bx3mptDmaxLg8bDpMvQmeZjKWXPdFVFi0o6X9Je8b7UsKyWBr/hiuxC8mwZj8dcv0XSd6L9kMJ63Gp2zaRzIjeEbQlMrjo1E9gudK2bAGfGfDmacGY3syNq9TOzA4A3gE3M7CxcvzvBzAYCxwBFg+AAYDMz2yWO++Nyzc/wgLkHw+HyM2Cr6HO+ma0TDk2LAD+dW3+TpEuzKvB0jXO/BGaY2TrAOsCv1JTlbA3gMHwuLg9sIHfIOQ/YIZyPL8ed5SssaGZrAxcAVwLDYp72An49N79U0uVozZ7QjKpn7lhFZj25gfmVeL+opJHx3L1Frguo9CvdW8kNys9LehqXZSvtjTqtpT6h57Aa8D+t9Kllg90VGB1BboOAicWLSuSBIucCD0VQ0JrAlGjfJ9bdtYFDJH1X0lLApcD20X/Hkns8DxgRssa1NLcT9wU2xOWFLu3Q3Cjp6dRNMLNPJN0AfAzsBGytpjSwCwPL4T+y8yUNBr7Co/wqPGFm0+bhLSfdjwuASZJOKzk3DNgcWAU4GLiuzjhnAS9IGgvcgy/YM4HngY3M7EtJm+FlZbavuvZY3EFoH3kU0xOS7sfTIZ5jZteGgqZFFGrSI1lE0sTC8clmdkM7xrkAuEHSQcD9wBVm9gZNSpB/yb2iH5d0e5RJAtywAawIrAsIuF3SxsBSwBtmtlX069OO+0p6GPL6uJviWaXKGAk8IvdWHgNcY2YT4tyxZvaB3Cg9RtLAisNPjL0kcByulPtE0lHAbyVdgEc9r2JmplZSLSfdllWp2ijG2vcKcAWwkpkdBK5QwOWBTXDnhhckXYQ79wwDNjCzLyRdCOyGK4YXA/7bzH5X9uExd28Hpsu95O8Erg+j8yPAejE/9wWOBKrHOQc4y8wekXvQjwZ+CPweONDMxssNzzPb/ydKOhH1lMJFKkaKbSUNxefi4Dg3EFgPn5sTJI3ClSF1n/s1yLU5aRMxHzYFLoumFvskM9te0h+BtQvr715VQ1UUYKsAtwN/xxXD/XDjx9LAc7ixox5jgEvjvnYG9gP+EJ9ZS9Y9GlgtlIQV42N7fj9JB9MJ52Mt2vpMP9/MToh7vRpXFN8R5yoGv4pcU+Eq4GAze0jSCcB/4sbEo4EfmNmsXI+7JEW9wTia5noFASfF2jYbdxgqS7tdq99bVf02JHRdZvZAGDwWj3O3m9lnhb53h9w8Gddz3RPtk/HfDsAmko4EFgWWwA0rd5AkBUJ23BAvKTMdGKgmp7Q++LP8c9x+8FpcMxGfZx/hhsP73D+I+Yngt6CiZ1sZmGZm/4jjEXgWorO/ga+UdB3q2RPaw2+AD81sgKTVaG6IbrG3Av6BG5SHAv9L03yF+vvBAcCGZvaZpOtIfULSxAKU22CfBC4Px7JbzWxiG8YcCuwBc4KSZkT7IZK2i/fL4mv1UnjWzGnR/4OS8danySHoajy4qcKtoUubqpIgo+5IOkl0L2bHS7in0AvFk7F5exv3VJqP5gvzJ/PoHpNuSii0rgIOwb3WAQhvzffM7J+SXscfBkvUWKAxsxMkXQtsgXvY7QIMwYXyEfIsEIY/cKrZAvhZiYPQY3gJmn8DbjazF7/+N066AZ9VFLNVlCljaypozWy0pOWBn+CRJRNCEP+I1pUgW8SrYgzpjQs04/DIklOBO81sXBu+V9Lz6B8KCgNuM7O7yzqZ2WvyLDxD4zVG0o5mNgbYSZ6arReupB4ATCpcvl60jQ/Fx4L42joDlycuk0fiZe3GpBFGmdksYJakd/C1cVNgLeDJmGOL4EZn8I3lTfUGNLN9Ja0ObIYrIzYH9sJLKNwgT/m6IFDmFLwZnt2icrx4KDHGA38OueTmikIw6V5UKYWPKJyqZ6S4LYwUn0l6EDcAj6Ix40czcm1O2kDFULcMbiy+L9ob2SeVUaYA2xC4MdrfivndGl/hDmk7A4uY2SuF9bSWrPvPqjEaNR4mnYfOOB/r7eNaPNNVv+pAPcNyC8d6uVP7t83soWgaAdwY7ycB10q6FS/3lHQtaukNKuyGGyTWCoeFV3BdVHv71aNadzsLwMxmS/qi4Fg2G+glaWHgQtxB6dXQC7f1M5PuyRQKgWdmdmA4KT6FP6MPNrPRxQskDSHmXPAVLqMKmGJmZRn/IG0OSR1q2RO+BhviQRCY2bOSinunsr3VfLjzzosAkq7BHX4rYzXitJb6hJ7DFKC1rGaHU2KDNbOHY6+zFXClpD/b1ygfE2vyZsD6ZvapPOB4bjzji+t8jyjRleU2uiejgYOlOekA14j2PjSlct2djKZP5j5n42nZFiu07QKsEhvAl4DFaZkBohlm9pKZXYQbTAZJ+i5wIp46cDVga8oX/YqD0OB4LWdmz5nZdXj6wc+Au8L7M0lq8T7wncLxEsB79S4wsw/M7Doz2x33DN2Y5kqQwbiAVD1vhWewqMzZFczssvCsXxOPAPmviLxKklpU0riuYWbD63U0L0Nwt3nK15OAbeWpM38PbGqeam0U5XP1vsJcHWBmvzQv8bEuHu33U5qil5KexVTcwWEOoTxYDk+hWU0t5dqIwhxbuTCfZ4a3fF3MbLJ5WsLNaZI1zsOjQVcH9qdcfpgPzzZR+exlzOxj81rp++IOG+MlrdLaPSRdgin4MxZwpTAucy7VhjGqDXFGY8/98sFybU4ao2Ko+z7+f39gtDeyTypjbirA/oanaR1Z1V4q65Zc3+7fT9JhdMb5WHMfV+OZ/iXN9aILAxQMyzuE/HApzb9HWw1+W+GRsmvizqAZsNa96AO8E44Pm+C/CYD/w7OmtdavmnH4mlgxgLxnZv9q571V5u17YbDrEbXFk4Z4AFhYUrHcxaLx72jg1xHtjKSV5GW8a/ECsJSk9aP/ApJWrdGvn6RKedDdgYdK+iU9j7NpaU9ojeIzvFVZo8G9VVsoygKpT+g5PAAsFM42AERGkmULfUptsJK+D7xtZpcCf6Wgk2iAMUR5Iknzh3NuHzxryqcxt9aLvo8DG8ecR9ISJeM9SlO5xN1w2aPHkk4S3ZMTcW/9SZKmxDH4Jm9PeT3nVUhPzmQuE9khRuKCDZLmw8u/rG5m/cysH7AN7jhRiqStKg4+eJTRV3hEfh/g9Wjfq8blpQ5CEeX/spmdC9yGp0hOklqMxYWYSvrYXwA1o5YkDZWXOUBeX64/7nnfiBJkNLCPmuqHLyNpaUnfAz41s2uA02mb4JQkpUhaM+ZWZX0eiKfSXByXCWZE5N6WJZc/jtcbXSGuXyyUJb2BPmZ2F+4tPWgefJWk8zEGWFTSHjBn7TwTrzn7Ns0VxPXG2EHS0jHGErGJbBV5LfshhabB+NyG5vLDnjWGuBcvB1YZb3D82z8cL07FHeBSqdE9qKcULlLPSLGNpIXDkXcIPj8aNX40I9fmpK2Y2ad4tN3vwthaa59UbaBrhPHA9pLmi3k3pMHrxgEnA9dXtZfKuiX31q7fT9LxdLL5OJYa+7gaz/TpeOTnQvIyGJvGOG02LJvZDOBDeekk4j4einV9WTN7EDgK//v0bm28pEtxLbC2vOTFHnjJGczsfdwo9qyk02v1K2E4sFZEP59Cbfm1VczsI9zJ51l8PX6yvWMl3YvIOrIt8GNJ0yQ9gWfAOQo33k0Fnpb0LHAJdbKRm9nn+Dp5atgcJgL/XtJvJrA3cGP8DmYDF8/Fr5V0UartCQ3yCk2BGsXn9HjcFoGkAcDq0V5rb/U87rzTP46LNotGndZSn9BDiLVzO2AzSS+F7fVkmme/q2WDHQI8I2kCXmr2nDZ89KF4lrPJeKnbAXggRC9Jz+HywuNxj+/i2VBujnsoKy1+MLB3yBq7x/g9lvRe7kZURY/uX3L+RZobh4+K9rH4ZjJJ5gZnAgfF+42A183sjcL5h3FFRF8ze7PF1b4wnyXpU9wrdDcz+0pem2yEpONwb88yTsS9TyeFMmIaHj23E7C7pC/wh9ZJX+sbJt2FYm1RgHvM7Gh8Hl0UgoRwoeOaOuOshdcaq3gx/9XMnpQ0DbgjBJinKFGCmNm9kn4IPBa+PR/jyrwVgNMlzQa+ILxFk6RCKKFntdqxOUvjNcMXiuMn8Aj7mSGkPw+8im8qm2Fm78prR19fuP44XOF9mzziTsBv2/xlki6PmZm8DuKFkv6Ar4V3Acfg0SBHx3p7cp0xpsYz/t54hn+BR6VOr3VNAQFHSroEzxr1CU2GmeG4Iu5D3Dj+g5LrDwEuiA1iL1xWOQA4LIx1s/HsA6WlbJKuRczXbXF580jgXXzOHFXVdTheJm4S8CnNjRSTcMPbksCJZvaGPI1q3ed+DXJtTtqMmU2IubkLXkO2bJ/0IA2sv1XchBuKp+Lz7mmaat7Wux8DzihpL5V1zewlSePD+HI3cCrt+/0knYBONB/r7eNaPNPNbJakkbgBeRpRFsbMPpJUMSy/ReOG5T2Bi+UO9C/jxsD5gWvkEX8Czg3DddJFMLNSp5ZKu5m9h9f2Luuza1VTrX79Cu8/wI3X1X2Gt3Lcu+ycmR2HywZJ0ozQye5c4/Qx8SoyloL9wMwOKryfiGdUrf6MIVXHY4A1qvslCc3tCfWoZPQ7Axgpj+gvyhsX4nLIVFyenALMMLMXy/ZWsefaDxgVtohxNDl1Dqf2frBI6hN6EGHn2qnk1GpxvpYNdgTujFY9Xr8a76/EA48ws7fxwONqygIpMC/DfHdVW3G86Xipz+rr9qo67hGOvbI55cqSJEmSJEmSroCkQcClZrZuR99LkiRJkiTdB0m9zexjeaaUJ4ANzOyt1q5Lkm+CnI9JkiRJkgBIOg942syuqNNnfmCBcH7oD9wPrBwZT5IkSVqQmSSSJEmSJEm6EJIOwD3VD+vgW0mSJEmSpPtxZ5QeWBDPlJIG6aQjyfmYJEmSJD0cSScCP8KzO9RjUeBBSQvgGZx+kw4SSZLUIzNJJEnSIUi6ANigqvmcet6gSdKRSNqbljW6xpvZgR1xP0lSC0mrA1dXNc8ysx91xP0kydxE0i20LJlxlJmN7oj7SZJGybU56crk2pt0JnI+JkmSJEn3RdKxwI5VzTea2Z864n6SJOnepJNEkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiQ9gvk6+gaSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEnmBekkkSRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJjyCdJJIkSZIkSZIkSZIkSZIkSZIkSZIkSZIk6RGkk0SSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJD2C/wec6Xj+splq/AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 2160x180 with 13 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df_rank_sales,y_vars='Global_Sales')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,  ax = plt.subplots(figsize=(15, 10))\n",
    "sns.heatmap(df_rank_sales.corr()[[\"Global_Sales\"]], annot=True, ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "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>NA_Sales</th>\n",
       "      <th>EU_Sales</th>\n",
       "      <th>JP_Sales</th>\n",
       "      <th>Other_Sales</th>\n",
       "      <th>Rating_Meta</th>\n",
       "      <th>Rating_Usuarios</th>\n",
       "      <th>Plataforma</th>\n",
       "      <th>Genero</th>\n",
       "      <th>N_jugadores</th>\n",
       "      <th>Clasificacion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15.75</td>\n",
       "      <td>11.01</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.96</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23.20</td>\n",
       "      <td>2.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>0.58</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.97</td>\n",
       "      <td>0.69</td>\n",
       "      <td>1.81</td>\n",
       "      <td>0.11</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9.81</td>\n",
       "      <td>7.57</td>\n",
       "      <td>4.13</td>\n",
       "      <td>1.92</td>\n",
       "      <td>9.1</td>\n",
       "      <td>8.7</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.94</td>\n",
       "      <td>8.03</td>\n",
       "      <td>3.60</td>\n",
       "      <td>2.15</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8874</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8875</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.2</td>\n",
       "      <td>6.7</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8876</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8877</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.8</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8878</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8656 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      NA_Sales  EU_Sales  JP_Sales  Other_Sales  Rating_Meta  Rating_Usuarios  \\\n",
       "0        15.75     11.01      3.28         2.96          8.0              8.3   \n",
       "1        23.20      2.26      4.22         0.58          8.0              7.3   \n",
       "2         2.97      0.69      1.81         0.11          8.0              7.3   \n",
       "3         9.81      7.57      4.13         1.92          9.1              8.7   \n",
       "4         8.94      8.03      3.60         2.15          8.0              7.7   \n",
       "...        ...       ...       ...          ...          ...              ...   \n",
       "8874      0.00      0.01      0.00         0.00          7.0              7.3   \n",
       "8875      0.01      0.00      0.00         0.00          7.2              6.7   \n",
       "8876      0.00      0.01      0.00         0.00          8.1              8.0   \n",
       "8877      0.00      0.01      0.00         0.00          7.7              7.8   \n",
       "8878      0.01      0.00      0.00         0.00          5.7              4.4   \n",
       "\n",
       "      Plataforma  Genero  N_jugadores  Clasificacion  \n",
       "0             15       3            1              0  \n",
       "1             10       2            1              0  \n",
       "2             10       2            1              0  \n",
       "3              1       3            1              0  \n",
       "4             15       3            0              0  \n",
       "...          ...     ...          ...            ...  \n",
       "8874           6       4            1              1  \n",
       "8875           3       4            0              5  \n",
       "8876          14       0            1              0  \n",
       "8877           6       0            1              0  \n",
       "8878          18       0            0              5  \n",
       "\n",
       "[8656 rows x 10 columns]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_cols = df_rank_sales.columns.drop([\"Year\", \"Global_Sales\", \"Nombre\", \"Resumen\", \"Fecha\", \"Developer\"])\n",
    "X = df_rank_sales[train_cols]\n",
    "y = df_rank_sales[\"Global_Sales\"]\n",
    "X"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Entrenamos nuestro modelo de Regresión Lineal para las ventas globales, donde obtenemos buenos resultados y buenas métricas de rendimiento. Esto se debe a que estamos considerando las columnas de las demás ventas, lo cual, resulta redundante en un modelo de predicción de ventas totales, ya que es obvio que las ventas de otros países tienen relación con las ventas totales globales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explained_variance:  0.9965\n",
      "r2:  0.9965\n",
      "adjr2:  0.9965\n",
      "MAE:  0.037\n",
      "MSE:  0.0092\n",
      "RMSE:  0.0958\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\56931\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "c:\\Users\\56931\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3,  random_state = 0)\n",
    "sc = StandardScaler()\n",
    "scaled_train = sc.fit_transform(X_train)\n",
    "X_test = sc.fit_transform(X_test)\n",
    "X_train = pd.DataFrame(scaled_train, columns=train_cols)\n",
    "X_train\n",
    "\n",
    "rl = LinearRegression() #CREAMOS LA REGRESION LINEAL\n",
    "rl.fit(X_train, y_train) # ENTRENAMOS EL MODELO\n",
    "\n",
    "regression_results(y_test, rl.predict(X_test), X_test.shape[1])\n",
    "r1_r2=r2_score(y_test, rl.predict(X_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "volvemos a realizar el mismo proceso ahora sin los datos sobreinfluyentes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "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>Rating_Meta</th>\n",
       "      <th>Rating_Usuarios</th>\n",
       "      <th>Plataforma</th>\n",
       "      <th>Genero</th>\n",
       "      <th>N_jugadores</th>\n",
       "      <th>Clasificacion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9.1</td>\n",
       "      <td>8.7</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8874</th>\n",
       "      <td>7.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8875</th>\n",
       "      <td>7.2</td>\n",
       "      <td>6.7</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8876</th>\n",
       "      <td>8.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8877</th>\n",
       "      <td>7.7</td>\n",
       "      <td>7.8</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8878</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8656 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Rating_Meta  Rating_Usuarios  Plataforma  Genero  N_jugadores  \\\n",
       "0             8.0              8.3          15       3            1   \n",
       "1             8.0              7.3          10       2            1   \n",
       "2             8.0              7.3          10       2            1   \n",
       "3             9.1              8.7           1       3            1   \n",
       "4             8.0              7.7          15       3            0   \n",
       "...           ...              ...         ...     ...          ...   \n",
       "8874          7.0              7.3           6       4            1   \n",
       "8875          7.2              6.7           3       4            0   \n",
       "8876          8.1              8.0          14       0            1   \n",
       "8877          7.7              7.8           6       0            1   \n",
       "8878          5.7              4.4          18       0            0   \n",
       "\n",
       "      Clasificacion  \n",
       "0                 0  \n",
       "1                 0  \n",
       "2                 0  \n",
       "3                 0  \n",
       "4                 0  \n",
       "...             ...  \n",
       "8874              1  \n",
       "8875              5  \n",
       "8876              0  \n",
       "8877              0  \n",
       "8878              5  \n",
       "\n",
       "[8656 rows x 6 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_cols = df_rank_sales.columns.drop([\"Year\", \"Global_Sales\", \"NA_Sales\", \"EU_Sales\", \"Nombre\",\n",
    "                                         \"Resumen\", \"JP_Sales\", \"Other_Sales\", \"Fecha\", \"Developer\"])\n",
    "X = df_rank_sales[train_cols]\n",
    "y = df_rank_sales[\"Global_Sales\"]\n",
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explained_variance:  0.0905\n",
      "r2:  0.0905\n",
      "adjr2:  0.0887\n",
      "MAE:  0.7616\n",
      "MSE:  2.4114\n",
      "RMSE:  1.5529\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\56931\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n",
      "c:\\Users\\56931\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:450: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3,  random_state = 0)\n",
    "sc = StandardScaler()\n",
    "scaled_train = sc.fit_transform(X_train)\n",
    "X_test = sc.fit_transform(X_test)\n",
    "X_train = pd.DataFrame(scaled_train, columns=train_cols)\n",
    "X_train\n",
    "\n",
    "rl = LinearRegression() #CREAMOS LA REGRESION LINEAL\n",
    "rl.fit(X_train, y_train) # ENTRENAMOS EL MODELO\n",
    "\n",
    "regression_results(y_test, rl.predict(X_test), X_test.shape[1])\n",
    "r2_r2=r2_score(y_test, rl.predict(X_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahora sin nuestros datos sobreinfluyentes nuestro modelo pasa a dar unas pésimas métricas de rendimiento, por lo que no pudimos obtener un modelo que sea concluyente para predecir las ventas de los juegos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.9965407764880445, 0.09048217902971445]\n"
     ]
    }
   ],
   "source": [
    "reg = [\"Regresion con variables de venta\", \"Regresion sin variables de venta\"]\n",
    "r2_score = [r1_r2, r2_r2]\n",
    "print(r2_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Comparacion del r2 score en los dos modelos de regresión')"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzIAAAHiCAYAAAAzlPkrAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAAsTAAALEwEAmpwYAAAomElEQVR4nO3debgsZX0n8O9PFhc0YOQmY1i8RFGHGFdGozEJTjSDZgIaN0g0okbGJC7RLONMHDXqJHGMMTpiRjQOmqiIGjOoKJoIalQUkEUWMQRRQB8FFRdACfDOH/V2btOcc8+53HPv4YXP53n66a6qt9/6VXV3dX27qs6p1loAAABGcqv1LgAAAGBLCTIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAHWXVUdVlWtqk7czvO9sM/30ats/5Le/qhtW9ktU1Vt7Ot3u/xfgPn5VdVu22Oea62qDuj1X74Fz5m97w/YZoUtPb9Hb4/5rbeVtmdV9bdVdWpVbdjOpcHNjiAD66iqfraq3ldV36yqH1TVv1TV/66qnde7tu3snCSvSfLu9S5kW6iqfarq3X2H7gdVdUlVHVlVd1zv2oA1t+z2rKr+a5I9kzystXbp9i4Mbm52XO8C4Jaqqg5J8rdJdkhyRpKTk2xM8swk/yPJ1etW3Baqqh1ba9fc2Oe31j6b5LNrWNJNRlXtlOQuSf5zkhOSfDTJ45M8I8mdkjx2/aqbVNVOrbV/Xe86YLW25Xt2W27PWmuvSPKKG9s3cH2OyMA6qKrbJTkiU4j52yT3b609o7X2iCT3THJlb3fvqvpQVV1WVZf2ozf3mOtndsrGH1fV2VX1/ar6y6rar5+68L2qekdV3bq3n53y8Imqem1VfbeqLqiqX5/r8/er6p+r6oqq+mFVnVFVj5ubflTv4w1V9ZGqujrJQ6vqSVV1Tp/n1VX1xar67YXlfvJcXd+qqjcs1HXiXNufr6qPV9XlVfXVqnpbVf3E3PTZKUHP6vP6Xj9lY9mjWVX121V1UV+Xf7DE9B2r6g+r6ty+/OdU1eFb8LrOTvO5sJ+G9s0kRyb5YpJ9WmuPbK09Lcmz+1MesZm+fq3P/6q+rj5dVQ+dq/O5VXVWVV1ZVV+vqhf1aVVVh1fV5/synF9VL6+q26xQY6rqoVV1YlV9u6/zN1fVnTZT495VdXQ/wnR5VX24qu41N332/nxBVZ3W6zmutuBIVE2nf72rqr7W6zqhqh60mvW0RF87V9Vf9X7OT/JLS7TZUFVvqqqv9M/HSVV14Nz0R/T38BVV9Z2q+lxV/eoy85u9r8+oqr+o6fN5TlXdr6pe1p9/QVX90hbMf9eqemefdkaS+y8x382+Lku036WqXlnTEeHvV9XpVfXkuen3r2mb8d0+/ayq+q3N9Lemn7O59fhP/fX7XpI/6tMOqqrP9tq+XFWvqmn7uljLZX2e1zvNrZbfnm22xs2tk9pO2zMgSWvNzc1tO98y7cC2frvHMm3unOTbvc37k3y4P/5akjv2Nhf2cd9L8pZMR3Fakm8leVuSy/rwb/b2h/Xh65J8OtOpD7Phe/c2RyT5u35/TJJrkvwgycY+/ai52k9M8uZMO1N/1Ov8qyR/kymMXZfkwf15z+jPuSbJuzIFuI8u1HViH753X5brkhzda21JzkyyU28zq+GbvaYr+/DTl1mfB/Tp1/Z1c0Z/3JI8urf50z78hSRvTHJBH35Kn/6SPnzUCvNoSS7OFBCev0S7w3ubc5bp57Z9+a9I8qa+Ps+eq+N/9udf2acdk+Ttfdpv92mX99fmwj78hs3VmOReSX6Y6b30jiQf6m0+mqSWqPF2Sc7vr9EHk7y11/yNJLsvvD+vzPT+/GYfftkyy71xVlsf3mXuNfhYkvf0x1ckuetK62mJ/v84mz4fb07y1bl1sVumH/dm77XP9f7+tb9PHtL7uDjTe/itvY9Tkrxomfkdlk2fr09mOuo6e23OTXL87HXo7Vcz/7f06Rf1+V8+6/NGvC4H9OFj+vAXe59X9OFD+/R/6sPvzvS5+ESSN22rz9lm1mNLcl6SNyT5jST/qY+7tK+XT/bh/7tQy3VJ3p7k80vUctRc3ydm0/ZspW3Bsusk22F75ubmNt3WvQA3t1viLcmvz31x3WaZNn/Yp58wN+60Pu7wPjzbIXlhHz6xDx/Th1/Vh4/ow7Mv2K/PfYG+t497ZR/epe8kvCzJqzMFp5bk1/r02Rf/xxbq3TnJ45K8uD/vvN7uv/fpZ/Xh5809Z6eFuk7sw6/P9XdIduo1tyS/1MfN1t/j+/BsB+91y6zPN/Xpf92HfzSbgt+jk1SmnfiWaWfmL5Mc24dP6s95SVYXZK5Lcrdl2twj047XtUn+8zJtbt+nX5zplLSf7ON3WKjzMUusy3Ny/R2u+2TTjuVtlqsxU3BtSU7qy/6XmQJsS3LPJWp8fDaFoVn78/u4Zy68P/+gD8+CxPuXWe6Ns9e1Dz+hD/9LklstvF//ZHPraZn+Z/U9uQ//ytz7aLckD8ymHwZ26W1e3cfNguLXk3w/03v9HpnCx3LzO2yuv9vm+iFyvyR3mBvesNL8++v/wz78c336s3P9ILMlr8sBSX5sroa79OnP7cOf6sOf6cNPyxR4d9rMMm/152wz6/G7SXabG/+BPv7DvZ/ZduO6TIFuVstsO7IhUzBsuWGQ+dhcv6vZFiy7TrIdtmdubm7TzTUysD6+Mff4Lpl2+hdt7Pfnzo37QpL79ufMm7W5vN/P+vtev99lof2/tE3nl3+h3+/ZT2M4KdMX86LFv7DzqYXh92WJU3XmnrdPvz9pNqEtf477xn5/7qxdVV2QaadrcdlP6/eX9/vbL9PnHv3+vN7nt2o6rerf9fG7zz33qQvPvdsyfS7n66218xdHVtV/SHJckjsmeVpr7f1LPbm19v1+msqLM63XVNXFSZ6c6YjDrM6l1uXGfj97T8xe31sl2WszNc6e96B+m3e3uX4W2++Racd3sf281b5Gi2bzOK+1dl1/PKvjLiuspxOX6O9674FMRyCWmt9FrbUrFufX7/9LkldmOqqYTL+gPyvTL+3LubC1dlVd/y+Lnddau7aqZsO7rGL+u2f6wWA1y7Ca12W+/VWttS8vMc9kOmL3+kzBoDIFuRdlClmLtuXn7OzW2uVL1P6IXP80zUryk3O1zLYjl1bVZXO1zJvfnq2mxi1ZJ7M613J7BsQ1MrBePpXptLEkeWFV/dtnsaruUtMF4hf2Ufece97s+pgv5/quXWF40V37POb7vzjTr8T3ynTqzF0zbSPOmZW20McP52reLZtCzM/3531w4Xlf6vfz1zcs92PKhfO19Vp/so9bXPbZRbltmb5mLun39+h9/mimi+1nLst0Sk2S3Ke1Vq216suy/wp9L/rh4oiqekSm07Run+SxrbW3rNDHW1preyT5iUw7pHtm+iMQl2XaaUqWXpcX9vvZ6zp7z1yX6XSk5WqcPe/Vs2Xvy3/XZQLXrP2pmY6WzNrfMdOpb/NW+xotN4+716Y9/sXPwHLraSnXew8kufsy89tr7jqLxfl9sLW2b6ad3cdleg8tLu+iG3weW2tLfUZXmv9l2fRHQFZahtW8LvPtb1tVey8xzyQ5pbV2n97HAZmOKPzZMp/fbfk5W+49+9wl3rNnzdWyb69l90yv20p9r6bGLVknszrXcnsGxF8tg3XRWruiqp6d6fz1JyX56ar6bKadsUck+fFM15D89yQPq6pjM/0Se79MpyRs7Z8p3j3Jx6rqq5lO92jZdE3NdZm2Da/KdOrLvqvo74pMO9e3z3T61XeT/OJCm9dkuh7jlVX1kCRXZdPyLjoy0zU1T6mq22b61fLHMh2NOHF1i3gDb0/y9CSH1XTh+70ytw1srbWqOiLTKX0frqr39eX5mUzXZxx2I+ebqvqpTNcP7ZwpxD6sqh7WJ7+0tfatJZ729X6x8FeT/HQfd3mv87WZ3htvq6r3ZNqJujbTe+mIJK9L8pqq+oUk/7E/969baz+YOwKwaLbOn1NV+2R6L/z7JA/J0j96HZcpnD4gySer6swke2faqXtUbvzrNO8DmXb07prkhP5r+mMyvXfe3NssuZ6W6e/tmULOa2r6HyqPWph+SqZThh6U5BNVdXaSQzN9Pl7f25xWVRcm+Uo2HeFabn5barPz70dw3pnpiNPbq+ojmcLUvC16XVpr36iqd/d+PlJVn8x0Sl8yvY+S5H1VtUOmU/x2TXLrTEeilgpj2/NzdkRfpldU1YMzvS/unSk47ZNpG/r0JE/twfCns4ofcFdZ45ask22xPQPiiAysm9ba25I8LNOOx95JnpJpx/GNSa5srX21T/9wkp/N9EvgBzL9/4Gldny3xCcz7VA/ItOO4lNaa6e31i7OdM791zPtAJ+aG55CttSy/Guv/yuZvuwvz0LYaq29MdO1N2dm2vn4lUwX0C7V3+mZjvB8urfdJ9OpOwe21m7Un6VurX00yXMyXfPzyF7fVxaavTDJf810MfiTMq2D85K888bMc86GbDol6CGZjhzMbj+yzHM+kumi46cn+alMr/3v9WkvTvK8TDusj+t1zk4xen2mC/4vybQTfF2mC5cXTzO6ntbaGUkenuTjmY6qHZIpyP7pMu2v6PN9Rza9f++RaedxqVMlt9jcPN6T6dfsh2fakfzFudPiNreeFv3PTDuVt+r9/snC/K5LclCS/5tpR/MxmU71Oai19k+92T9kWs6nJHloph3R39y6Jd2i+T8n03t3t0zX1PzpQh835nV5WqZTonZO8sRMn8unttbe3qefmOlHh19P8suZ/mjBE1trNzhqsD0/Z6214zKtozMybSd+NdP7/TV9+olJfqfXcmCmH2u+3p9+g6OmW1jjiVn9Ojk9a7w9Aya1xGcOuJmqqsMy7SR9rLV2wPpWA7BtVdWurbXv9Md7Zvrh5laZ/tDFv6xrccBWc2oZAHBzdVpVHZfptK9DMoWY44QYuHkQZACAm6vPZQowt890itufJ3n5ulYErBmnlgEAAMNxsT8AADAcQQYAABjOul0js/vuu7eNGzeu1+wBAICbuFNPPfWy1tqGpaatW5DZuHFjTjnllPWaPQAAcBNXVV9ebppTywAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYzopBpqreXFXfqKqzlpleVfXaqjq/qs6sqvuvfZkAAACbrOaIzFFJDtzM9Ecm2bffDk/yV1tfFgAAwPJWDDKttY8n+dZmmhyc5K1tclKS3arqzmtVIAAAwKK1uEZmjyQXzQ1f3McBAABsE9v1Yv+qOryqTqmqUy699NLtOWsAAOBmZC2CzCVJ9pob3rOPu4HW2pGttf1ba/tv2LBhDWYNAADcEu24Bn0cm+RZVXV0kgcl+U5r7Wtr0O+6ecAfvHW9SwDYZk595W+sdwkAsNVWDDJV9Y4kByTZvaouTvLiJDslSWvt/yQ5Lsmjkpyf5MokT91WxQIAACSrCDKttUNXmN6S/M6aVQQAALCC7XqxPwAAwFoQZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHBWFWSq6sCqOq+qzq+qFywxfe+qOqGqTquqM6vqUWtfKgAAwGTFIFNVOyQ5Iskjk+yX5NCq2m+h2QuTHNNau1+SQ5K8fq0LBQAAmFnNEZkHJjm/tXZBa+3qJEcnOXihTUvyI/3xrkm+unYlAgAAXN9qgsweSS6aG764j5v3kiRPqqqLkxyX5NlLdVRVh1fVKVV1yqWXXnojygUAAFi7i/0PTXJUa23PJI9K8jdVdYO+W2tHttb2b63tv2HDhjWaNQAAcEuzmiBzSZK95ob37OPmPT3JMUnSWvt0ktsk2X0tCgQAAFi0miBzcpJ9q2qfqto508X8xy60+UqSX0ySqvr3mYKMc8cAAIBtYsUg01q7Jsmzkhyf5NxMf53s7Kp6aVUd1Jv9XpJnVNUZSd6R5LDWWttWRQMAALdsO66mUWvtuEwX8c+Pe9Hc43OS/OzalgYAALC0tbrYHwAAYLsRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOGsKshU1YFVdV5VnV9VL1imzROq6pyqOruq3r62ZQIAAGyy40oNqmqHJEckeUSSi5OcXFXHttbOmWuzb5L/luRnW2vfrqof21YFAwAArOaIzAOTnN9au6C1dnWSo5McvNDmGUmOaK19O0laa99Y2zIBAAA2WU2Q2SPJRXPDF/dx8+6e5O5V9cmqOqmqDlyqo6o6vKpOqapTLr300htXMQAAcIu3Vhf775hk3yQHJDk0yRurarfFRq21I1tr+7fW9t+wYcMazRoAALilWU2QuSTJXnPDe/Zx8y5Ocmxr7V9ba19K8sVMwQYAAGDNrSbInJxk36rap6p2TnJIkmMX2vx9pqMxqardM51qdsHalQkAALDJikGmtXZNkmclOT7JuUmOaa2dXVUvraqDerPjk3yzqs5JckKSP2itfXNbFQ0AANyyrfjnl5OktXZckuMWxr1o7nFL8vx+AwAA2KbW6mJ/AACA7UaQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhrOqIFNVB1bVeVV1flW9YDPtHltVrar2X7sSAQAArm/FIFNVOyQ5Iskjk+yX5NCq2m+JdndI8twkn1nrIgEAAOat5ojMA5Oc31q7oLV2dZKjkxy8RLuXJXlFkh+sYX0AAAA3sJogs0eSi+aGL+7j/k1V3T/JXq21D6xhbQAAAEva6ov9q+pWSf4iye+tou3hVXVKVZ1y6aWXbu2sAQCAW6jVBJlLkuw1N7xnHzdzhyT3SnJiVV2Y5GeSHLvUBf+ttSNba/u31vbfsGHDja8aAAC4RVtNkDk5yb5VtU9V7ZzkkCTHzia21r7TWtu9tbaxtbYxyUlJDmqtnbJNKgYAAG7xVgwyrbVrkjwryfFJzk1yTGvt7Kp6aVUdtK0LBAAAWLTjahq11o5LctzCuBct0/aArS8LAABgeVt9sT8AAMD2JsgAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDWVWQqaoDq+q8qjq/ql6wxPTnV9U5VXVmVf1jVd1l7UsFAACYrBhkqmqHJEckeWSS/ZIcWlX7LTQ7Lcn+rbV7J3l3kv+11oUCAADMrOaIzAOTnN9au6C1dnWSo5McPN+gtXZCa+3KPnhSkj3XtkwAAIBNVhNk9khy0dzwxX3ccp6e5INbUxQAAMDm7LiWnVXVk5Lsn+QXlpl+eJLDk2Tvvfdey1kDAAC3IKs5InNJkr3mhvfs466nqh6e5I+SHNRa++FSHbXWjmyt7d9a23/Dhg03pl4AAIBVBZmTk+xbVftU1c5JDkly7HyDqrpfkjdkCjHfWPsyAQAANlkxyLTWrknyrCTHJzk3yTGttbOr6qVVdVBv9sokt0/yrqo6vaqOXaY7AACArbaqa2Raa8clOW5h3IvmHj98jesCAABY1qr+ISYAAMBNiSADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMJwd17sAABjBV1760+tdAsA2sfeLPr/eJdwojsgAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMMRZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADEeQAQAAhiPIAAAAwxFkAACA4QgyAADAcAQZAABgOIIMAAAwHEEGAAAYjiADAAAMR5ABAACGI8gAAADDEWQAAIDhCDIAAMBwBBkAAGA4ggwAADAcQQYAABiOIAMAAAxHkAEAAIYjyAAAAMNZVZCpqgOr6ryqOr+qXrDE9FtX1Tv79M9U1cY1rxQAAKBbMchU1Q5JjkjyyCT7JTm0qvZbaPb0JN9urd0tyauTvGKtCwUAAJhZzRGZByY5v7V2QWvt6iRHJzl4oc3BSd7SH787yS9WVa1dmQAAAJusJsjskeSiueGL+7gl27TWrknynSR3WosCAQAAFu24PWdWVYcnObwPfr+qztue84ebqN2TXLbeRXDLUX/+lPUuAViZ7wa2nxffpE+kustyE1YTZC5Jstfc8J593FJtLq6qHZPsmuSbix211o5McuQq5gm3GFV1Smtt//WuA4CbDt8NsLLVnFp2cpJ9q2qfqto5ySFJjl1oc2yS2U98j0vy0dZaW7syAQAANlnxiExr7ZqqelaS45PskOTNrbWzq+qlSU5prR2b5K+T/E1VnZ/kW5nCDgAAwDZRDpzA+qqqw/tplwCQxHcDrIYgAwAADGc118gAAADcpAgy3GhVdW1VnV5VZ1XV+6pqt3Wq47j1mve2VlUHVdULVmjzkqr6/SXGb6yqs9a4ngOq6v1r2ecWzPt3q+p26zFvYMvdEr4jqmr/qnrttuh7M/N8U1Xtt0KbC6tq9yXGL/l9sZX1HFVVj1vLPlc5341V9Wvbe77ctAgybI2rWmv3ba3dK9Mfefidre2w//nuLdJae1Rr7fKtnfdNTVXt2Fo7trX2Z+tdy03E7yYRZGAcN/vviNbaKa2152yLvpdSVTu01n6ztXbO9prnTdjGJILMLZwgw1r5dJI9kqSq7lpVH6qqU6vqE1V1z7nxJ1XV56vq5VX1/T7+gN7u2CTnVNUOVfXKqjq5qs6sqv/S2925qj4+9wvfz/Xx//bLU1U9v087q6p+t4/bWFXnVtUbq+rsqvpwVd12cQGq6ser6r1VdUa/PWRr+qyqXavqy1V1qz68S1VdVFU7VdUz+vKdUVXvmR1p6L9s/Z+q+kyS/1VVh1XV6/q0X6mqz1TVaVX1D1X143Ozu09Vfbqq/rmqnrHEsm3ROl147oFV9YWq+lySX50bv0tVvbmqPttrOniJ5x5dVb88N3xUVT1uM/UcUFUnVtW7+zzfVpPnJPmJJCdU1Qm97V9V1Sl9/f/x4ryBm5Sbw3fE4/vzzqiqj8/V9v7++CV9m3hiVV3Qt1uLfTyzql45Nzy/jf/7vk7OrukfiM/afL+qXlVVZyR5cO9//z5tc9vBP+zr8rNVdbclalnudbjBci48r6rqdVV1XlX9Q5Ifm5v2gKr6WO/z+Kq688JzN/e9uFw9R1XVa6vqU329zo7+/FmSn+uv9/P66/iJqvpcvz1ksXZuhlprbm436pbk+/1+hyTvSnJgH/7HJPv2xw/K9H+FkuT9SQ7tj5859/wDklyRZJ8+fHiSF/bHt05ySpJ9kvxekj+am+cd+uMLM/0H5Ack+XySXZLcPsnZSe6X6Veba5Lct7c/JsmTlliedyb53bn+d12DPv9fkof1x09M8qb++E5zbV6e5Nn98VF9Pe3Qhw9L8rr++I7Z9Ac6fjPJq/rjlyQ5I8lt+3q4KNNO/8YkZ92YdTpX2216f/smqb6c7+/T/mS2zEl2S/LFJLssPP8xSd7SH+/c+7rtZuo5IMl3Mv3j3Vtl2vl56PzrPNf3j87VfWKSe6/3Z8LNzW3TLTe/74jPJ9mjP95trrbZNvElST7Va9o90z8G32mhjw1Jzp8b/uDcNm62TbttkrPSvyeStCRPmHvOiUn2X3jO9baDfZln6+I3Fmr8/RVehxss58Iy/GqSj/R5/kSSyzP9D8Gd+vJv6O2emOlfdiw+f7nvxeXqOSrT++dWSfabrb/5dd+Hb5fkNv3xvpn+Rci6fw7ctu1tiw/RwpzbVtXpmX5lOzfJR6rq9kkekuRdVTVrd+t+/+Akj+6P357kz+f6+mxr7Uv98S8luffcry67ZtoonZzkzVW1U5K/b62dvlDPQ5O8t7V2RZJU1d8l+blM/7D1S3PtT830xbXoP2ba4Ke1dm2S71TV1vb5zkwb6hMy/X+l1/fx96qql2cKALfP9H+aZt7V579ozyTv7L9w7ZzkS3PT/l9r7aokV9V0xOKBSU6fm35j1+k9+3L+c1/+v820EzHr86DadL71bZLsnem9MPPBJK+pqlsnOTDJx1trV1XVcvVcnem9cHGf3+mZ1us/LbE+ntB/tdwxyZ0zfcGduUQ7YH3c3L4jPpnkqKo6JsnfLbPMH2it/TDJD6vqG0l+PMnFs4mttUv7UYWfSfLPmbaxn+yTn1NVj+mP9+rL9M0k1yZ5zzLz29x28B1z96+ef9IKr8NKy/nzSd7Rv6e+WlUf7ePvkeRemV7nZAo6X1vi+Tf4XlyhnmR6Pa/LdERu/myEeTsleV1V3TfTOrv7Mu24GRFk2BpXtdbuW9NpUcdnOv/5qCSXt9buu4V9XTH3uDIdoTh+sVFV/XySX860kf2L1tpbV9n/D+ceX5vpF6+ttZo+j03yJ1X1o5l+DZxt8I9K8ujW2hlVdVimX5Zm5tfFvP+d5C9aa8dW1QGZflmbWfw76ovD22KdVpLHttbOW65Ba+0HVXVikv+U6Yvr6M3V05drcb3eYDtVVfsk+f0k/6G19u2qOipTkAJuOm5W3xGttWdW1YN6/6dW1QNW0c9S+1lHJ3lCki9kClatb/senuTBrbUr+3Zztk37wVI/bq1iO9iWeZxMRzeWfB2WWs7W2jeXWI4blJTk7Nbag1dot9T34i7L1dPNr9daps3zknw9yX0yLd8PVlEzg3ONDFuttXZlkudkOqx/ZZIvVdXjk387l/Y+velJSR7bHx+ymS6PT/Jb/Ve1VNXd+3m0d0ny9dbaG5O8Kcn9F573iSSPrqrbVdUumU5r+sQWLMo/JvmtPs8dqmrXre2ztfb9TL8SvibTIfDZl9EdknytL+Ovr7K7XZNc0h8/ZWHawVV1m6q6U6ZQdPLC9Bu7Tr+QZGNV3bUPH7rQ57Or/3xWVfdbpu53Jnlqpl8+P7S5epZf9CTJ9zKttyT5kUw7Nt/pv849coXnAuvk5vIdUVV3ba19prX2oiSXZjpqcmO8N8nBmbansx93dk3y7R5i7pnkZ1bRz0rbwSfO3X96fkJr7btZ5nVYxXJ+PMkT+/fknZM8rI8/L8mGqnpw72enqvqpxaKX+l7cXD2bMf+dkEzr8Gv9yM2TMx0R4mZOkGFNtNZOy3Q4+9BMO+ZPr+nCxLMzbbCT6a9OPb+qzkxyt0zXQizlTUnOSfK5mv588Bsy/ap1QJIzquq0TBvm1yzU8LlMv/Z9NslnMp13e9oWLMZzkzysqj6f6dSC/dagz2TakX9Sv5/5H72/T2YKC6vxkkyH3U9NctnCtDMzHaY/KcnLWmtfXZh+Y9fpDzKdSvaBmi72/8bc5JdlOpR/ZlWd3YeX8uEkv5DkH1prV69Qz+YcmeRDVXVCa+2MJKdlWndvz6ZTM4CboJvJd8Qra7p4/qxM14KcsQXPna/j25lOtbtLa+2zffSHkuxYVedmuoj9pFX0s9J28I59XT4309GKRcu9Dist53sznRZ3TpK3poekvn1/XJJX9D5Pz3S62FKW+l5crp7lnJnk2pr+KMHzMp26/ZT+/Htm+bMbuBmZXTgM21w/veCqfhj9kEwXda60oQLgFsB3BLClXCPD9vSATBfiVaa/cvK09S0HgJsQ3xHAFnFEBgAAGI5rZAAAgOEIMgAAwHAEGQAAYDiCDAAAMBxBBgAAGI4gAwAADOf/A6dkH4lCs0u5AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,8))\n",
    "ax = sns.barplot(x=reg,y=r2_score)\n",
    "plt.title('Comparacion del r2 score en los dos modelos de regresión',fontweight='bold')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Conclusiones."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A partir de los análisis realizado pudimos obtener múltiples y variados datos, tato de la crítica como del mercado de los videojuegos, los cuales creemos podrían servir a las desarrolladoras de videojuegos para que se den una idea acerca de cuales son los juegos que a la gente le gustan y cuales son las mejores opciones para lanzar al mercado. Así también no pudimos obtener buenos resultados para plantear un modelo que pueda predecir ni los ratings ni las ventas de los juegos, por lo que este estudio no podría considerarse ni mucho menos como un estudio de mercado efectivo del cual sacar conclusiones reales, por lo que nuestras conclusiones apuntan a ver este Explorando Videojuegos con un carácter informativo."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.6"
  },
  "vscode": {
   "interpreter": {
    "hash": "48e729d35f4e8922fc5a0c8506825a6ef5fb5d890f1143a8e6d82feeb9bc0a59"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}