regressao apartamentos-v2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error, r2_score, classification_report\n",
    "import math\n",
    "import numpy as np\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "#from yellowbrick.regressor import ResidualsPlot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Carrega dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(30748, 17)\n"
     ]
    },
    {
     "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>nome</th>\n",
       "      <th>valor_venda</th>\n",
       "      <th>url</th>\n",
       "      <th>condominio</th>\n",
       "      <th>IPTU</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>area_total</th>\n",
       "      <th>area_util</th>\n",
       "      <th>banheiros</th>\n",
       "      <th>vagas</th>\n",
       "      <th>quartos</th>\n",
       "      <th>suites</th>\n",
       "      <th>idade</th>\n",
       "      <th>endereco</th>\n",
       "      <th>bairro</th>\n",
       "      <th>idade_anuncio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Tower duplex  90m2</td>\n",
       "      <td>550000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/tower...</td>\n",
       "      <td>R$ 730</td>\n",
       "      <td>R$ 690</td>\n",
       "      <td>-15.842635250484830</td>\n",
       "      <td>-48.024645807548495</td>\n",
       "      <td>89m²</td>\n",
       "      <td>89m²</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6</td>\n",
       "      <td>Qd 206,  Aguas Sul, Águas Claras</td>\n",
       "      <td>,  Aguas Sul, Águas Claras</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SELECTION 36</td>\n",
       "      <td>2150000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/selec...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.742129999999999</td>\n",
       "      <td>-47.910919999999997</td>\n",
       "      <td>224m²</td>\n",
       "      <td>224m²</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Quadra SQNW 110,  Noroeste, Brasília</td>\n",
       "      <td>,  Noroeste, Brasília</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Elevador + Apartamento de 3 Quartos + Excelent...</td>\n",
       "      <td>420000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/eleva...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.739203900000000</td>\n",
       "      <td>-47.902473900000020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65m²</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SCRN 706/707 BLOCO F - COMPLETO ARMÁRIOS- EXCE...</td>\n",
       "      <td>,  Asa Norte, Brasília</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01, 02 QUARTOS E LOJA COMERCIAL - MEET NOROESTE</td>\n",
       "      <td>332420</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/01-02...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.748856500000000</td>\n",
       "      <td>-47.896520000000010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Elegance Park Sul de 03 Suítes</td>\n",
       "      <td>1333800</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/elega...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.827143900000000</td>\n",
       "      <td>-47.952883600000010</td>\n",
       "      <td>117m²</td>\n",
       "      <td>117m²</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Sgcv 23,  Park Sul, Brasília</td>\n",
       "      <td>,  Park Sul, Brasília</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                nome  valor_venda  \\\n",
       "0                                 Tower duplex  90m2       550000   \n",
       "1                                       SELECTION 36      2150000   \n",
       "2  Elevador + Apartamento de 3 Quartos + Excelent...       420000   \n",
       "3    01, 02 QUARTOS E LOJA COMERCIAL - MEET NOROESTE       332420   \n",
       "4                     Elegance Park Sul de 03 Suítes      1333800   \n",
       "\n",
       "                                                 url condominio    IPTU  \\\n",
       "0  https://www.wimoveis.com.br/propriedades/tower...     R$ 730  R$ 690   \n",
       "1  https://www.wimoveis.com.br/propriedades/selec...        NaN     NaN   \n",
       "2  https://www.wimoveis.com.br/propriedades/eleva...        NaN     NaN   \n",
       "3  https://www.wimoveis.com.br/propriedades/01-02...        NaN     NaN   \n",
       "4  https://www.wimoveis.com.br/propriedades/elega...        NaN     NaN   \n",
       "\n",
       "                   lat                 long area_total area_util  banheiros  \\\n",
       "0  -15.842635250484830  -48.024645807548495       89m²      89m²        3.0   \n",
       "1  -15.742129999999999  -47.910919999999997      224m²     224m²        6.0   \n",
       "2  -15.739203900000000  -47.902473900000020        NaN      65m²        2.0   \n",
       "3  -15.748856500000000  -47.896520000000010        NaN       NaN        NaN   \n",
       "4  -15.827143900000000  -47.952883600000010      117m²     117m²        5.0   \n",
       "\n",
       "   vagas  quartos  suites idade  \\\n",
       "0    2.0      2.0     2.0     6   \n",
       "1    3.0      4.0     4.0     4   \n",
       "2    0.0      3.0     0.0   NaN   \n",
       "3    NaN      NaN     NaN   NaN   \n",
       "4    2.0      3.0     3.0     1   \n",
       "\n",
       "                                            endereco  \\\n",
       "0                   Qd 206,  Aguas Sul, Águas Claras   \n",
       "1               Quadra SQNW 110,  Noroeste, Brasília   \n",
       "2  SCRN 706/707 BLOCO F - COMPLETO ARMÁRIOS- EXCE...   \n",
       "3                                                NaN   \n",
       "4                       Sgcv 23,  Park Sul, Brasília   \n",
       "\n",
       "                       bairro idade_anuncio  \n",
       "0  ,  Aguas Sul, Águas Claras            52  \n",
       "1       ,  Noroeste, Brasília             6  \n",
       "2      ,  Asa Norte, Brasília             9  \n",
       "3                         NaN            14  \n",
       "4       ,  Park Sul, Brasília             8  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"data/08.2019/apartamentos_completo.csv\")\n",
    "\n",
    "df = df.drop(['Unnamed: 0'],axis=1)\n",
    "df.reset_index(inplace=True,drop=True)\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "nome              object\n",
       "valor_venda        int64\n",
       "url               object\n",
       "condominio        object\n",
       "IPTU              object\n",
       "lat               object\n",
       "long              object\n",
       "area_total        object\n",
       "area_util         object\n",
       "banheiros        float64\n",
       "vagas            float64\n",
       "quartos          float64\n",
       "suites           float64\n",
       "idade             object\n",
       "endereco          object\n",
       "bairro            object\n",
       "idade_anuncio     object\n",
       "dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dropa imoveis que não tem latitude, longitude e área útil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(25493, 17)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dropna(subset=['lat', 'long','area_util','bairro'],inplace=True)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quantidade de valores nulos por coluna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fec5e8f96a0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.isna().sum().plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "nome                 0\n",
       "valor_venda          0\n",
       "url                  0\n",
       "condominio        9597\n",
       "IPTU             16985\n",
       "lat                  0\n",
       "long                 0\n",
       "area_total        9786\n",
       "area_util            0\n",
       "banheiros          642\n",
       "vagas             1691\n",
       "quartos             24\n",
       "suites            2206\n",
       "idade             8253\n",
       "endereco             0\n",
       "bairro               0\n",
       "idade_anuncio        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove outliers do preço de venda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(25493, 17)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count    2.549300e+04\n",
       "mean     2.591094e+06\n",
       "std      6.194202e+07\n",
       "min      1.440000e+02\n",
       "25%      2.800000e+05\n",
       "50%      4.800000e+05\n",
       "75%      1.000000e+06\n",
       "max      6.299000e+09\n",
       "Name: valor_venda, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(df.shape)\n",
    "df.valor_venda.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6 bilhões parece muito para um imóvel\n",
    "Vamos remover aqueles que custam a partir de 12 milhões"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(25208, 17)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count    2.520800e+04\n",
       "mean     7.190315e+05\n",
       "std      6.173967e+05\n",
       "min      1.440000e+02\n",
       "25%      2.800000e+05\n",
       "50%      4.700000e+05\n",
       "75%      9.990000e+05\n",
       "max      4.999000e+06\n",
       "Name: valor_venda, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.loc[df.valor_venda < 5000000]\n",
    "print(df.shape)\n",
    "df.valor_venda.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove outliers da area util"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.area_util = df.area_util.str.replace('m²','')\n",
    "df.area_util = pd.to_numeric(df.area_util)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(25208, 17)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count     25208.000000\n",
       "mean        112.707117\n",
       "std        1279.166845\n",
       "min           1.000000\n",
       "25%          56.000000\n",
       "50%          77.000000\n",
       "75%         120.000000\n",
       "max      143167.000000\n",
       "Name: area_util, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(df.shape)\n",
    "df.area_util.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 143mil m2  parece muito para um apartamento\n",
    "Vamos remover aqueles que sao maiores que 1000 m2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(25176, 17)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count    25176.000000\n",
       "mean        95.868684\n",
       "std         61.937151\n",
       "min         19.000000\n",
       "25%         56.000000\n",
       "50%         77.000000\n",
       "75%        120.000000\n",
       "max        880.000000\n",
       "Name: area_util, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.loc[(df.area_util < 1000) & (df.area_util > 18)]\n",
    "print(df.shape)\n",
    "df.area_util.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1      2007\n",
       "0      1578\n",
       "8      1194\n",
       "7      1001\n",
       "3       729\n",
       "9       692\n",
       "5       610\n",
       "10      607\n",
       "38      579\n",
       "2       536\n",
       "11      518\n",
       "15      505\n",
       "22      488\n",
       "4       416\n",
       "23      392\n",
       "81      382\n",
       "72      356\n",
       "24      351\n",
       "73      348\n",
       "219     315\n",
       "17      300\n",
       "6       288\n",
       "18      283\n",
       "215     250\n",
       "87      248\n",
       "19      238\n",
       "57      221\n",
       "14      179\n",
       "16      177\n",
       "129     159\n",
       "       ... \n",
       "423       1\n",
       "497       1\n",
       "478       1\n",
       "315       1\n",
       "631       1\n",
       "559       1\n",
       "669       1\n",
       "382       1\n",
       "515       1\n",
       "789       1\n",
       "561       1\n",
       "877       1\n",
       "731       1\n",
       "467       1\n",
       "556       1\n",
       "857       1\n",
       "412       1\n",
       "759       1\n",
       "888       1\n",
       "904       1\n",
       "739       1\n",
       "628       1\n",
       "666       1\n",
       "746       1\n",
       "907       1\n",
       "381       1\n",
       "745       1\n",
       "844       1\n",
       "577       1\n",
       "329       1\n",
       "Name: idade_anuncio, Length: 587, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.idade_anuncio = df.idade_anuncio.str.replace(\"\\n Publicado desde ontem\\n\",\"1\")\n",
    "df.idade_anuncio = df.idade_anuncio.str.replace(\"\\n Publicado hoje\\n\",\"0\")\n",
    "df.idade_anuncio.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checa distribuição dos Bairros"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aguas Sul, Águas Claras                                      3485\n",
       "Noroeste, Brasília                                           3409\n",
       "Aguas Norte, Águas Claras                                    3020\n",
       "Asa Norte, Brasília                                          2955\n",
       "Asa Sul, Brasília                                            2239\n",
       "Sudoeste, Brasília                                           1360\n",
       "Taguatinga Norte, Taguatinga                                  815\n",
       "Park Sul, Brasília                                            690\n",
       "Guara II, Guará                                               605\n",
       "Samambaia Sul, Samambaia                                      500\n",
       "Setor Marista, Goiânia                                        465\n",
       "Areal, Águas Claras                                           465\n",
       "Lago Norte, Brasília                                          443\n",
       "Taguatinga Sul, Taguatinga                                    422\n",
       "Setor Bueno, Goiânia                                          391\n",
       "Guara I, Guará                                                261\n",
       "Samambaia Norte, Samambaia                                    252\n",
       "Cruzeiro Novo, Cruzeiro                                       212\n",
       "Centro, Brasília                                              187\n",
       "Ceilandia Norte, Ceilândia                                    167\n",
       "Jardim Goiás, Goiânia                                         164\n",
       "Setor Oeste, Goiânia                                          138\n",
       "Setor Industrial, Taguatinga                                  116\n",
       "Sobradinho, Sobradinho                                        108\n",
       "Vicente Pires, Vicente Pires                                   96\n",
       "Lago Sul, Brasília                                             79\n",
       "Riacho Fundo I, Riacho Fundo                                   78\n",
       "Parque Amazônia, Goiânia                                       78\n",
       "Taguatinga Centro, Taguatinga                                  76\n",
       "Centro, Águas Claras                                           71\n",
       "                                                             ... \n",
       "Jardim Santo Antônio, Aparecida de Goiânia                      1\n",
       "Setor Habitacional Tororó, Santa Maria                          1\n",
       "Comércio Local Sudoeste, Brasília                               1\n",
       "Alphavile Paiva, Novo Gama                                      1\n",
       "Setor de Chácaras Anhangüera B, Valparaíso de Goiás             1\n",
       "Setor de Garagens e Concessionárias de Veículos, Brasília       1\n",
       "Setor de Armazenagem e Abastecimento Norte, Brasília            1\n",
       "Cardoso Continuação, Aparecida de Goiânia                       1\n",
       "Centro, Paranoá                                                 1\n",
       "Centro, Anápolis                                                1\n",
       "Residencial Vereda dos Buritis, Goiânia                         1\n",
       "Oeste, Goiânia                                                  1\n",
       "Setor De Desenvolvimento Economico, Taguatinga                  1\n",
       "Serra Azul, Sobradinho                                          1\n",
       "Brazlandia, Brazlandia                                          1\n",
       "Mansões do Lago, Brasília                                       1\n",
       "Caldas do Oeste, Caldas Novas                                   1\n",
       "Zona Rural, Uruaçu                                              1\n",
       "Jardim Europa, Goiânia                                          1\n",
       "Varjao, Varjao                                                  1\n",
       "Vila Estrutural, Guará                                          1\n",
       "Estancia Mestre D Armas I, Planaltina                           1\n",
       "Jardim Luz, Aparecida de Goiânia                                1\n",
       "Chácara Bela Vista, Aparecida de Goiânia                        1\n",
       "Parque Estrela Dalva IX, Luziânia                               1\n",
       "Santos Dumont, Goiânia                                          1\n",
       "Jardim Nova Era Acréscimo, Aparecida de Goiânia                 1\n",
       "Jardim Esmeraldas, Aparecida de Goiânia                         1\n",
       "Vila Americano do Brasil, Goiânia                               1\n",
       "Setor de Grandes Áreas Norte, Brasília                          1\n",
       "Name: bairro, Length: 264, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.bairro = df.bairro.str.replace(\",  \",\"\")\n",
    "df.bairro.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aguas Sul, Águas Claras                                      3485\n",
       "Noroeste, Brasília                                           3409\n",
       "Aguas Norte, Águas Claras                                    3020\n",
       "Asa Norte, Brasília                                          2955\n",
       "Asa Sul, Brasília                                            2239\n",
       "Sudoeste, Brasília                                           1360\n",
       "Taguatinga Norte, Taguatinga                                  815\n",
       "Park Sul, Brasília                                            690\n",
       "Guara II, Guará                                               605\n",
       "Samambaia Sul, Samambaia                                      500\n",
       "Areal, Águas Claras                                           465\n",
       "Lago Norte, Brasília                                          443\n",
       "Taguatinga Sul, Taguatinga                                    422\n",
       "Guara I, Guará                                                261\n",
       "Samambaia Norte, Samambaia                                    252\n",
       "Cruzeiro Novo, Cruzeiro                                       212\n",
       "Centro, Brasília                                              187\n",
       "Ceilandia Norte, Ceilândia                                    167\n",
       "Setor Industrial, Taguatinga                                  116\n",
       "Sobradinho, Sobradinho                                        108\n",
       "Vicente Pires, Vicente Pires                                   96\n",
       "Lago Sul, Brasília                                             79\n",
       "Riacho Fundo I, Riacho Fundo                                   78\n",
       "Taguatinga Centro, Taguatinga                                  76\n",
       "Centro, Águas Claras                                           71\n",
       "Setor De Clubes Esportivos Norte, Brasília                     64\n",
       "Quadras Economicas Lucio Costa, Guará                          63\n",
       "Octogonal, Brasília                                            57\n",
       "Nucleo Bandeirante, Núcleo Bandeirante                         55\n",
       "Águas Claras, Distrito Federal                                 39\n",
       "                                                             ... \n",
       "Varjao, Varjao                                                  1\n",
       "Santos Dumont, Goiânia                                          1\n",
       "Mansões Aguas Quentes, Caldas Novas                             1\n",
       "Paranoa, Paranoá                                                1\n",
       "Alphavile Paiva, Novo Gama                                      1\n",
       "Setor de Chácaras Anhangüera B, Valparaíso de Goiás             1\n",
       "Estancia Mestre D Armas I, Planaltina                           1\n",
       "Jardim Luz, Aparecida de Goiânia                                1\n",
       "Chácara Bela Vista, Aparecida de Goiânia                        1\n",
       "Jardim Nova Era Acréscimo, Aparecida de Goiânia                 1\n",
       "Vila Jardim São Judas Tadeu, Goiânia                            1\n",
       "Setor Central, Vila Estrutural                                  1\n",
       "Cardoso Continuação, Aparecida de Goiânia                       1\n",
       "Mansões Pôr do Sol, Águas Lindas de Goiás                       1\n",
       "Jardim das Esmeraldas, Goiânia                                  1\n",
       "Setor de Hotéis e Turismo Sul, Brasília                         1\n",
       "Loteamento Grande Vale, Novo Gama                               1\n",
       "Parque Napolis A, Cidade Ocidental                              1\n",
       "Cidade Satélite São Luiz, Aparecida de Goiânia                  1\n",
       "Cidade Ocidental, Cidade Ocidental                              1\n",
       "Jardim Santo Antônio, Aparecida de Goiânia                      1\n",
       "Setor Habitacional Tororó, Santa Maria                          1\n",
       "Comércio Local Sudoeste, Brasília                               1\n",
       "Sao Francisco, São Sebastião                                    1\n",
       "Residencial Eldorado Expansão, Goiânia                          1\n",
       "Jardim Nova Era, Aparecida de Goiânia                           1\n",
       "Oeste, Goiânia                                                  1\n",
       "Setor de Garagens e Concessionárias de Veículos, Brasília       1\n",
       "Condomínio Eldorado, Goiânia                                    1\n",
       "Setor de Grandes Áreas Norte, Brasília                          1\n",
       "Name: bairro, Length: 258, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bairros_goiania = ['Setor Bueno, Goiânia','Setor Marista, Goiânia','Jardim Goiás, Goiânia','Setor Oeste, Goiânia',\n",
    "                  'Parque Amazônia, Goiânia','Jardim América, Goiânia']\n",
    "df = df[~df['bairro'].isin(bairros_goiania)]\n",
    "df.bairro.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fec5be8b7f0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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P7jx6t3HsSRAESwOxAgiCIBhQQgAEQRAMKCEAgiAIBpQQAEEQBANKCIAgCIIBJQRAEATBgBICIAiCYEAJP4CgljL/gfAdCIKJTawAgiAIBpQQAEEQBANKCIAgCIIBJQRAEATBgBKbwMGYEIHngmDpJ1YAQRAEA0pfAkDSnZJukDRH0qx0bA1JF0q6Lf1dPR2XpK9Kmi9prqQtRuMCgiAIgm6MxgrgRWa2mZnNTO8PBS4ysxnARek9wC7AjPQ6EDhuFNoOgiAIOjIWKqA9gJPT/ycDr8wdP8WcK4HVJK09Bu0HQRAEDehXABjwS0mzJR2Yjq1lZvcApL9PSsfXAe7K1V2QjgVBEARLgH6tgLYzs7slPQm4UNItFWVVcMxGFHJBciDAeuut12f3golEWA4FwfjS1wrAzO5Of+8DzgK2Bu7NVDvp732p+AJgWq76usDdBec83sxmmtnMqVOn9tO9IAiCoILOKwBJKwGTzOzh9P+OwKeAc4D9gKPT37NTlXOAd0s6HdgGeDBTFQVBP0SwuiDoRj8qoLWAsyRl5znVzM6XdA1whqQDgD8Be6by5wG7AvOBR4D9+2g7CIIg6JPOAsDMbgc2LTj+N+AlBccNOKhre0EwmsR+QxBEKIggaEWom4L/JSIURBAEwYASAiAIgmBACQEQBEEwoIQACIIgGFBCAARBEAwoIQCCIAgGlBAAQRAEA0oIgCAIggElHMGCYIwJr+NgaSUEQBAshYTQCMaDUAEFQRAMKLECCIL/ISJWUdCGWAEEQRAMKLECCIIBJ/YbBpcQAEEQtCaExv8GoQIKgiAYUEIABEEQDCihAgqCYNzoojoKddPYEQIgCIL/ScIktp4QAEEQBInxXKEsDSubcRcAknYGvgJMBr5jZkePdx+CIAgmIqMtNMZ1E1jSZOBYYBdgY2BvSRuPZx+CIAgCZ7ytgLYG5pvZ7Wb2b+B0YI9x7kMQBEHA+AuAdYC7cu8XpGNBEATBOCMzG7/GpD2Bnczsren9m4CtzezgXJkDgQPT26cDt5acbk3grx260aXeeNUZz7aW9v6NZ1tLe//Gs62lvX/j2dbS3r+qeuub2dTa2mY2bi/gucAFufeHAYd1PNes8ao3XnWif3EvlnRbS3v/4l6MTr3sNd4qoGuAGZI2kLQssBdwzjj3IQiCIGCczUDNbJGkdwMX4GagJ5rZvPHsQxAEQeCMux+AmZ0HnDcKpzp+HOuNV53xbGtp7994trW0928821ra+zeebS3t/eunHjDOm8BBEATB0kNEAw2CIBhQQgAEQRAMKBEMbilA0iZ4aIzls2NmdsoYtPO0gnbOaFj3ST31/lRTfnVgRk+dyxu007qepJWAR83sv5I2Ap4B/MLM/jMGbT0BeGpPnatr6nT6frvUk7Qp8Pz09tdmdn1dO10Zr3Gb2loW2Ci9vbXuu+2puzowzczmtqjTdrx36p+kVXraua9Bne2AOWb2T0lvBLYAvmJmf2zS5jD6sSEd7xdwCLAKIOAE4Fpgxwb1dgM+DHwiezWo87nU1hTgItzZ4o1j0M7hwCXAvcBJwF+AH9fUmQH8GLgJuD171dQ5FPgNsBA4LV3PTxv0b3fgNuCfwB3Af4F5BeU2ZmhP6a3AvNTWpcCjwMUN2norcAPwQLonTevNBlZkyNP8LOAHo90WsG+65w8CvwMewx+yveWeB6yY+34vS/36bpPvt49xcQhwI/Cp9LoBOHi0x1If/VsOeDvwVXzz8njg+AZt7QD8Md3Hy9M4fEFNnUvx3+8awJ/SGPnSaI33UejfzriT66PAPcDjeJicyv6lunPxZ+Cm6f9DgMua1B1xri6VltQLuD793Qn3H9gUuLamzjeBU9IP8PD0ozihQVtz0t9XASengXT9GLRzA66Ky65tLeBnNXWuAF6Svvz1gU8CRzRoZ3KunacAZze558ATgevS+xcV/WiBXYGzgan4Q2gF4NL02TOAHza8F8vn7n3TetemvwcDH07/XzfabaU6K+bqPBs4taDc83BT5xnpXkzOfqBNvt8+xsVcYKXc+5WAuaM9lvro3w+Bz+BC5gB8YvXVBm3NBp6ee78RMLumTjZe35pdT929aDPeR6F/c4An5drZGTi2rn894/0TwAH5Y21fE20PQOnvrsBJ5stbVZQHeJ6Z7Qs8YGZH4N7I0xq0NSXX1mlmdv8YtfOomf0XWJSWg/fhKoYqVjCzi/AZ9x/N7JPAixu08zjwuKQnmNndwIYN+vcfM/sbMEnSJDO7BNist5C5ee97gC1TW48Cy0iabGa34GE96viXmf0LQNJyLepJ0nOBfYAsXm6derNLW/8ys0dSnSlmdgPwzN5CZvZbYE/8QfJIuu+StALNvl/oNi6EzyQzHqf+99FlLHXt30ZmdhjwDzM7AX/obdKgrSlmtjgkjJn9nqHfZxnLSFobeB3w8wZtZDQa76PQv0Xm6p7JkmRm5wMzG/bxYUmHAW8Ezk1RluvaK2Si7QHMlvRLYAPgMEkr40u0Kh5Nfx+R9BTgb6l+HT+TdEuq/y5JU4F/jUE7syStBnwbn0n8A6jUKQP/kjQJuC051v0Zn01UMTe1813gakkP4bOdOv6e9N6XAz+QdB+wqKiguQ7yj5Lentr6BXCRpAdxFUEdC1K9nwIXSnoAuLtBvUPwsCJnmdk8SU/F1ROj3dZ9qc65wC8k/Q1Xc43AzB4CrpSUfb+n4LO+R4BZDa6py7g4CbhK0lnp/StxVWkVXcZS1/5levG/S3omrj5av2FbJwDfS+/3SW1W8Sl8FfYbM7smjYnbGrTVeLz32b+HJK2Iq2VPknRvg75lvB54Az77/4uk9YDPt6g/RJdlw5J64UvOLYDV0vsnAs+pqfNxYDXgNfhD6B7gyIbtrQ5MTv+vCDx5LNrJnWN63fWkclsBTwDWxX/0PwG2bdHO0/EgfE3KroSrMJYB9sNn+U9s0dYL8JDfy7W8Fy/E9bHLjsO4at0WroZ8HT6DLisjfPMxe78+sGmH/jUaF6nsFuk7OgTYfKzHUpv+4fr/1XG1yp/wfaiDGtRbDnh/6ttZwPvajqcW19J6vHfpX3pWTAGWTfflw8BaY3FNVa8J5wjW1bok1V0OWN7MHmxYvqv1Rm07kp5hZrdI2qLoczO7tkkfm1KSeOdB4G4bxUGQZpNzzazJ0j6rs4qZPSRpjaLPrUb9llZnHwaexfDvaoQqo5+20oytl0er7p+k2Wa2ZVX/e8p3Ghdd7nsXxnvcdiVZgx2HP1Q3kfQcYHcz+/QS7lrfSNoW+BquflwWF1j/MLNV255rQqmAJL0Vn9msiy+nt8WtMYp+6C82s4slvbrgM8zsJzVtHY7v7m+Mh67YBd8wO6WnXNd2PgC8DfhiwWdWck1fNrP3SvpZKjO8ktnuFZf0feA5wC34zHQj3PJjJUlvM9d15tu6wsy2l/RwT1vypmyVokbMTTGvl7Se1ZjO5TgVeDm+bDaG662Net3yD/ANxpcD78BnboWqmT7b+gOuHnkEX40uDyyUdAfwDis2ubxS0lZmdk3NNWS8Hw+H3nhcQPv73sdYaj1uc22+p+Dwg/iG6Y0V9bbDN6fXJ/fMMrOq7+rbwIeAb6WycyWdChQKgC7jXdINFNy7XP+eU3FNCwvqPoirBz9S8x1+HQ+k+SN832BffFLcmgm1Akg3fCvgSjPbTNIz8B3+1xeUPcLMDpd0UsGpzMze0qCtTfFd+k0lrYXnMH7FaLbTBklbmtlsSS8s+tzMLquo+wPgC2Z2XXq/GXAQ8AXgdDPbfBT7eTH+PV2Nm9Nl/asSUP20N9vMtpQ0N/vRSbrMzArvUx/tfA34lZmdnd7vDmyHTxA+a2bbFtS5CRe2f8TvRfZAKX049NG/xve9n7HUR/9OT/3LNmV3TX19Jm62WyRUSHtx78OF9uJNbvPN2rK2rjGzrSRdl41tSXPMrG5DtzGSsv2Lg9Lf/B7AI2b2qYq6R+IqsFPxMbEXbml4B7Bf0eo1V3eWmc3sGe+/NbPntb2GCbUCIFluSFpsuSGp0HLDzA5Pf/fv2FbmWFRp5dC1naIVQ895R6wczGx2+tvlx7lx9vBP55gjaaaZ3SpphKVImYokV79KLXNEh/5l7XZR8WWbi/dI2g3fzF235PyFqotcW1UqjG0tl7zIzM6R9HEz+4jcwqeIXaraq6KDCrLxfe86lrqM2xyrA5uZ2cPpXB8DzgC2x2e+hQIAeNDMftGmn8BfJW1ImmVLei2+L1dIl/FuyfFK0nZmtl3uo0Ml/QbfiC7jZT0Thq9K+p2ZPVfSB6r6ghuaLAvMkfQ5/LpWqqlTyEQTAI0tNyS9v+pEZvalmrYaWTn00c4rSo6DD9oRP6R+lpzAHZKOwfMwg1sS3JkGUpGVQ5GKJN+/0uV319ljGxVfD5+WtCqunvga7gD0vpKyZQ8ZqFFh4OZ3hzD8Hj6c9O+PF1XIPSSGeZbW0VQF2dNW4/vex1jKxu2TcH+Hi9P7F+HOV1UCYD2GrOXAHemmm9kjkh4r6GMmrC+R9Pl07sXlaoT1Qbij2TMk/RmfWe9TUb7zeMfVqNub2RWp38+j/oE8SdLuZnZOqrM7Q8/jOsvGN+EqyHfj43wabnzSmgmlAsqTlq6rAuebJ5jv/fzwqvrmtvpl5xawrpndld5PB1axAlfyLu1I2gZ3Jhox6Gv6tF5NW6Wu4PJwCe/FZ1vCHyZfxn+Qq+ZnOJKebGZNzDbL2irapPpn2b5Brl5jFV+uzmTgPWZ2TIN+Pd1y9tptSWrATzN0D3+NO+PcD2xoZjcV1NkdFzpPwVeR6wM3m9mzatpqpIJMZVvpr/sdS+kcPwfeZmb3pPdr445MpSsESUfgap+fpkO7A+fjXvcnmNlePeWrTHmtTE2SBPJrzeyMNO4nZauOkvL9jvctgRPx5xHA34G3VAko+Sb1sbgO/794VIODceuo55r7ZhTVmwycbGZv7NrfYeebKAJALawcJO2Ebyx1ybGZnaPWeqNrO0l4fRR4Cz6LHEHvyiHNPO+xhrF7+kHSfviD+BD8IVTUv6rBPYuCTSoz+2hNu5nedg6wjZk91kRvK+kSM3tR5UV5uT3w2dP+wMuKytSoMFoj6Xp8VfErM9tc0ouAvc3swJp6V5vZ1pJm47Prh4Eb6wRHwz71PZYk3Zj/LTb9fabJwXakSYiZXdm1DzXtXG5mL2hYtq/xnjvPKvgztZGVYVckXQC8omji25YJowKydlYOfwFOk/Re3Ma26HxFFgl5mlhvdGrHzC6T9Hs8lMDKNf3IOBY4UtIyuGVDY8scAElb4bPVXkuKEeahZnay3DHljcCbC05XpyrBzObLvYAfxx1dfltVPtHVEey3kr6OWwLlNz+H/WjN7Gy5xc7O+Ex0RLepUGHInYnei9u95+9h0bky/mNmf5O02LNU0mcbXFMXRyskbY8L25MkrQmsbGZ39BTraywlLk0PotNS/b2od74DuAoPBbFM6u9TzL3Sq65pOVzFMZ3h971Kx36hpA8yckwU6fL7Gu+9/VPaUqvqX9pzeDMjr+ldpVc0xJ3AbySdw/Brq1Nrj+zHRFkBQGsrh5Vwu/ARrvqpzsk1bTWy3ui3nbZIWt5SCIOW9W7GVx29lhR/HsXuZW1dDrwU+A5DTnFvNrPC2VXJOSpVfD1lix48pSqCrki6DtfB997D31TU+RXukfsZYE1cDbSVtbDYqFJB9pQ7HF9xPd3MNpJ7pP+oZ4MyX77TWMrVfzVDkUcvN7Ozasq/C98Y/RtDYSqsaBLSU+98krkow+976X5OEvS9mFWbjnaiY/9+jat9euv8oEF7hWrnKrV2KTbOnmf9vHCPzRGvFvUn4T+kJmXXL3qNQTtdoo5uSPI0xDcK30Pyjq6oc3XHe74nPosE+Bg+Q670ME33aoV0XYcDXwKe1rC9zJP1YGCLMRxL+ciy36FBZFk6BNyiD09q4NXp3n0ReFWD8nPS9VyXO1YXDK71WOrjns8Hpnaod+NYjYOCtrqM99b9oyKw5Hi+lngHxuELPTX90FfCnaDuAT7Uov6T8A2z9YD1RrsdWkYdzeqkB8rTcOekY4Dzaup8BjgS2By3LNkYNw2t69/c9Hd7fNNzD+CqMfquPoFHmTwiva5mwuGmAAAgAElEQVQHPtawbqtQ3HSLLPsJfN9mdTw0yIqksM9jcC++AfwS36/YH98srYwWSRLyDEWLbBINtPVYSvVejcfWeRB4CN+jeKimzqWk0Cot78XxwLMbln1xrn8jXmMx3tv0L1fnc1lfO9yPqXjsn/NwK6yLaRA2veg1YfYAoLN1ycbmrv/74DfsI/iyqzJ4Upn1Bq7uGbV2KIg6qpFm+b3818wWSXoV8GUz+1pST1SxQ/r70twxw035qsiWp7sBx5nr0T9ZVSEtv4u8S+uW33vjs60sSufR+My80n1f0jfxh/GL8Nn8a6nXl4+ILKv6G//O9Peo3DHDx0hZ3/KWOcvi33etRRS+ut3E0i9e0sm4cKziDEnfAlaT9DZcWH2npk6XsQT+AHuFmd3coGzGfODiZEGUN+f8ak297YE3p3H1GCXq2MQL8QdikZl15R5PovV4b9m/jP2BD6bxka/TJBBfG8/3SiaUAKCbC/QUSVNwPezXzew/kppsfByJ26EPs94Yg3baRh0F+I+kvfEvPhvoleFgzey5DfpSxJ/TQ+WlwGfThlddGPF8WNvl8WV1paNN4s5UPrv+5fBZaR3PM7PnyD0jj5D0Rep/6K0jy5rZ2g360ltn2Ca/pFcCWzeoeiu+6szMMafhMfur2vqCpJfhM/Kn46ugC2vaaT2WEve2fPiDr4rvwVfKbWjsTGf9O4B2Ge9dnP0KHRUb8kQzO0HSIea+H5dJ6uR7M9EEANbeuuRb+IPleuByufv2Qw2aamu90akdMzs0nfchM3tc0j/xZWcV++OS/ygzu0PSBnisnxFI2tPMfpQ24Ira/0ZNW6/DrWa+YGZ/l9t7f6jmmnpd9L8s6QpchVLUx6/hs7PHgHmSLkzvX4b7K9TRJRT3AXic99vNHZGeiN/Xov5tZ2a/kVRo7WOeC6ERZvZTSYeWfa6h2DyrAjdLujq93waoHOuSPg58N//Ql3SgmR1fUa3xWOphlqQf4hZb+dl8qeA1s483OO9ilAL34eqlpnW2wVUyG+Irpre0FFStxzsVDnUF/dvA3CqrLBfHCF+SAhp7vtf2J60wJwSjYV2SzrOMmVXG+B4l643adlK5McutKungtKz/TMHHZjW2+bnzNM6RquHhFibhK4J3ln1PcjvsUqzeYuvjuGrwJbiJo+FOU5UPHDUMOyHpM2Z2mKTTirtnb6hoI+8Yld2LF5atyFQSmyfXWFW8p/sYCrF8STp2rZlVhr/oglrEvpL0RTP7gDxPQZFqsNB5TNLPzezlOZWihlcbqVKU+6Achsfz3x14q5nt1Oiihp+nzXjPvKqV6myA5wUeoS6W9F0ze7Ok3xWcypo8XyS9HN+fmMaQ5/sRlryK2zDRBMD6+IN4Cu4CvSrwDTObX1NvN0aGCq6yIc7MO/+Ff6n7pLZ+UDC77bedwylw+Tez11bUmYELpl6hUapjV4FPQ9Gxgnq9eyHrAbcUDe5cnbxZ5iJ8ZfQF68MLtylqGPJbJWEnrDoI1zrWYzZbdKzn8/yDMrsX37YGyb9T/VUYbideFa76Onz1+CM8P+/nlQuGVlKn9Vhqi6StzexqSS8p+txKvF47tjVM4LUVgF3Ge8E5tgDebmaFvkGpzCTzjGqVx8aaCaUCsiH39EdpGPiq4wYhZvbP3NtaW/6u7aRymcv//kou/zV1TsLNK49J7e0PhTFM8nwLN7GsO9ZL270QrIFXbhFpZnMkQ85qlU5JqghMpvqQ34cwFHbiRUphJ2q6+DNG3q+iY4vpqouWdCB+Lx7F9yZEfUwazOxPaRVxnKQf4ea4VXQZS0haHlej9U54RqwAzCz7HTzTzL7ec5534+bPRW10Cdy3Ws+4GPa+ZkxAh/Fe1C+542UVsxg5boqOLSanKi1rt865dQQTQgCovyBorTYINTKeyuKPqPaQ7LIRCQ2jjvawgpldJElJKH5S7lgywkFE0kxcf7xmzz7AsJllBY33QiStiwf3yoJivR/PNgWePL1ypYbHJno1cIM1W5q2DqiXo3FkWUlPwzdVV+nZB1iFkgBvkp6FxwfKgn0dw1CsmK+XPLzyfAh4lrULMzILwNyKan9JB+E5mqtoPJbA90Nw0+g34ObOO+HOXfvgVnJVvAU35MhzQMGxjMyRanlcdZblAH8O7lG8fUGdyxg+LvLvm1gBtfbc1vCAkFnWwkKrHLl39lrA8vK0mJmwXQWfQFbRJJVoKyaEAMDNnbqSWZQ02iC0HquNsWonx1jnBF4VV3Msy/Ak9Q/jFlV1tMmR+nncRC3j7fiG3Ir47LoqGiPAXbhTTSO9ZNfZdaJN2IlN8ZXaGngsoYyHgTLX/aNx1UrGTnja0BXxzfBX1vTvD3jimcaY2dt63h+L74lU0XgsyU1Lt8E3jT9hZntK2sM8lMKpeA7eonqvx8faBpLyD+CV8cBpZdfzolT/dOBAM7shvd8E+GBJnX7GBHTLCZx/ZizCc0afWVJ2D+CtuGrpxNzxh/GkN1X8EHdSGyZc0n5FE8OWkdgoOK2M9Qt3Utmu4Pjz8VlWVd2iXL2fqii/FbBLwfFXAFuOVjupTm/O2Ol0ywl8JjV5XIGNOt77lfBZTa0nKz2OVAz3SP11w+s6H9/Ee3/2qij/fjwxdu/xg4H3trjGF9IgJzCwQ4tzzup5f2Xu/ysa1N8c35v4FvDV7FVT5w48zk7+9YfRGkvAk4Fv4hOyq9Kxy4FNcEOJ20vqbYAbb1yDb9Rnr62BKQ3uxZwmx0bj1XK8L9NHO2/oUOd4CpzZ8InVcV36MSE2geWOIx+1nlgoSb1xuBWEyE2fT8IH82/T+ya5ei/FLYvu7Dn+NOB4K84z27qdXN22OWMnA0ebWZ1pWm+9NfCN816dbWkgs9TWBWb20rIyPeVvslxcF0lrWNq07P2spP4v8RXQDeRs8q0kxomkG/FwEf/uOb4ccI2VqAbVMX+uPHfCmxh5D0esAiTdamZlKqXfm9lGNW1djZvA9t6L0v0ouSlrxmL/CzMrM7/tOpZWwB86Z+LqmJNwIfIJM/tmm3M1bO80PB7X93E1zhuBJ5hZK918g3bajvfFG8ySvma5ZEEN67+EkWPpcxXlS39DkuZZh0ixE0UFNL334Q9gZrPkgbIKMdetfxF4bnr/GDmb5RKe2PvwT3Xn9/zA+m0no1XOWHNfgS2TzraN9P4+vjR9HT6r2Q9f7te19YikVZsIMzw5ykZm9vtUP3v4PwN/sNexhpnt2KBcrosjA8WZh5Eu3ci0bnmLwY0BFuBhO47G9eBl3rl3S9rGzK7KH5R7szeJcLrIzCqTDfViLf0vuo4lM3uUIUOFy6jfswLc6owhT/7l8BXwY1bvFb0/7oV9SHp/OZ7wfVTpMN7zY6ww4F5pRd/QXSvVOwUfU3Whsas25+uc1QqZKAKgKpNSnZXDLyW9BvhJw0Fedb6qLD9t28l4EfB2SW1yxl4HnC238shHRa3a4HqymR0r6e1mdkGabV9SUT7jX8ANcuesfFtFFgeHAz+XdBQewgF8E/KjDP14q/iVpB3N7JcNygIgaS0zu7f3WIOqa+NOZ23yFj/TzPaWtJOZfUtu4lmWqvAjwA8lfZfh92I/SnJA9HCJ3BLoZwx3tKoyAy3yv6jb02o1ltRfpr1v4LP303H1z5sZvi9Vds5/4VZKtUl/cv1cEc8Qt56ZvU1u7vp0M/t5TdU2470f9ckLbcho5DC5n86Paurcp2RSmz+YBOv/dCiIayS9zcy+nT8o6QB847SK9+MP7kWSMrt+q5h1/Co9wD6Wf5DLsxldXFKnSzsZXdzI18A3mfPqqDoLh2ymfG9aet5NTVaoxLnpVYuZnS83ufswvsoAuBHXW97Y4BQHAR+Wpwf8D/X38PPAufIcqvmH7OfwZPdVdMlbnN3DB+UZne7D921GYG73vg2etu/N6fA8XFV4b1GdHjLnssPyp6V6tp0PP7wI3xN4XU07bcdSVyMJ8Mxct8odJP8DfFvuyV+4QslQN1+Fk/BnQ+ZwtwB/wNYJgMbjHU83ORcfpxum/6HZJC7zXv9X2sS9n3qjkQ/h8Z6+y9BzLwuJ08SgYwQTZQ9gLeAs/AeYv/Bl8TC5ndO5FbS1Er683RrfhAO3ApmFexU2UWV0aXdFfID/0Xp2+Ufp/K/CZ/zT8eXzKvj+yY9Hu63xRNIuwKH4RqThD9mjrUUScblp3t/qVm5yM9rTcDO/k/HV4hFWH8xszEn7Gnua2Q+XdF/K0JAn/4l46sN78LSSVQ9Kkhor81V4BclXwVLcn5I6s8xspnKOcJKut5ZRA2r6tX7V51adovVIXGDvjIf8XgScbmYfrmnzSfhEKdu/moebFTdyLBxxvokgADLkThmLL9zMqmbkyDMePW5mJmkabsI238zmVNVLdZ/KUOTPeWZ2+2i2I/c4/Cou+T+Gm+vdiz+gP1K02Sd3vnk98ACuGvgQ8ALcZPBI6yMFZkFbM4D/S/37Em6m+vzU1gFmNuo2yandRuEZ+jj/trj+/n7c6ed7uAXLJGBfMzt/tNrqF7UMEaJ2aRA7jSVJHzazz6nEKalEVZLVfSr+0F8OV8+sij+8fl/T19lmtqWkG8zs2enYr83s+RV1fotbGv3GzLaQtCEebbcwEN+SGu+p7SfgYcU7PcT7ansiCYA2yG2WP4tvPh6JD/BrcfO6E82sSVq+MWtHnit2T/xHcAlu/nl7kvAXZQO9p84ZuGpkJTwm/Y34j3d7YDMzK/WXkHQcxT/YQjv2NOs6BV8pvA9Phfgz/EfxaTPbpqytrqhDeIYObczC9yRWxc3qdjGzK9NG9WlWHTahcHZmFZYbffSzS4iQj+Oqhdo0iF3HkqRXmNnPVBK/qWji0i+SfoOPux/jatg/46u8QiurVGdH/IG+MZ5XYTtgf0sxkgrKj+t4l1SomrNxyPk9rB//wwJgHj6YV8Y9FNc3s78mVcs1NgrJtftpp2dpekP+ga+S+C1KibjTimOBmT0591nl8laepyBjedwR6U9mdlBJ+cXJ2CXNN7OnFX02msg9vrPwDJulh/IRZtZk07RpG/nrutnMnpn7rC5uzv/l3i6P5xK40cwqg9l17OcNDIUI2TSpQb9jJSbPqc4dBYetSFfez1jqOc9KNjxsSlXZ2yiehNSZxG6F/7ZWwydZqwCft5qE8nKrvW1xnfyVVSvk8R7vkvL7mcvjxiCzzawuEvCoMlE2gbvwbzN7AHggfaF/BTAP/VuZY3ac2pmU1B2TgP+m/zMzrzKTrn+ncy+S1GtK+HhB+cVYT67RtJFU6LmZyAel6vUybBWwKunO/wacadXRURuHZ+iDfN8f7fmscjZkZvlEMEj6fzQL99Fb50H8YV4aWJAOIULMrInneUbnsQQg6bnACbj9/3qSNsUDoFUlNc+Hbsj8FFYtKZu1Mxl4nbmvwj8oCdldUO8iM3sJuQ3d3LEi+hrvch+RTJDdar7JXYr1eG3L/XROqGunoN1JuE9EJ0/gCSUA0gZt9sPYCHgG8IuSm72CpM3xh+my6X+lV5VZadbWhvjM6DFJO+AOL6eYWa/retd2VsU3tLOHfj42TNmDaF1JX011sv9J79epu6YeplFtdVBl4dA2UqTwH/8+uMdtGW3CMwydXDoEt/p4GN/A3xw41IrNSTeV9FDq0wrp/6yPteOihyyVYhuuxmPBH4Nbb5TROESIpDfiq/nv9Rx/G5597NSCav2OpS8zlE4T84xqlfsPNtL66QtJ9VJVp5WvQtrbWBGPfZWfVK1CReY2+hjv6flwMh7pVcA0Sfu13Lt6EI83VYs87MY7cEE9G1hV0pfMrC774MhzTSQVkKTZuE5uddxpYhbwiJmNiDGj4SGJR2A1ESslzcEtjabjM+VzcDviXXvK9dVOG8r0rrm2qrxEFzIkWCbjD5TDSh4OfVk4jAbyiJarAudbgbNXT9nrk5pkJ9xC4uN4msdRjYMv6RqG38N1gc+Z2RfLa41Ku9OBVazAGTJ9fh3wAjN7uOf4KsAlVuBp3s9YSvWvMrNt1MLKRlLe2ifzUzikaL+rp94XccOAWl+FNBl4L/6w/zNDAuAhPAx3YeC5fsZ7ei69wVK48zQ5Pa3ovufq/IihsTQJeDaei/l9Vf1IdeckFek+uNnzR3D1UaU1VRETagWAC6xH5Pb/XzO3RijMXzoKD95GuVJH8wFfR58bbPmMQY/XqGI6PeDVn5NQdo7V8dXJw+m1CcNXR4XV0t82+X278Mbc/4uAe8ysMGCbRiF0b3pgTif9TiU9reihhydaH5E1yzxHdWF6x1HYrL1L0vMAS+qP91AfDTQfmC7LjdBkf6exr4KZfQX4ilIipAbnzur1M6GZYrlcF2b2+7L7niMf8n0RcKeZNUl/Ct3Tz45gwgmApHvcBw8jC2N3DV1zpS6tDEtBl56PDwJ3N1laN6QfJ6HMNvrNeBCzTO9qDP/hF9E6v29H7uo9UKGa6MtsUNKJuNpxHsPvRZEAmFK0GZvuw7L99KOCdwBfwdVFC3BLm0KDggyrMNusqdc6wmeasD2PnABNx0cl014PsySdgJsUgz+fKh1Uzaxq/62OrmluRzDRVEAvwMPA/sbMPiu3K35vk9lUh7Y2xgf578zsNHmu1Neb2dGj3dZ4IOla/IFyCz5j3gjPP7oS7ozTJCzEmCLpVuDZdSqfgnqTGMrv+3e59cc6ZSqTPvp3Dx4q+RF82b487oJ/B/AOM7t+FNuqDZ6XK/tB3Ob9nZbiWCW10bHApV10w2OBpKLf6YO4+qLUUzz9zr+CW/QY8Dv8d19k9ZTV+R4+6ZnD0Ka2jdGzYjlc+G2P/7YuxzMVlsYD61HJZjyITxw+Yu1iVKGG6WdH1JtIAiDojqQf4GkZr0vvN8MH7RdwD8RS88cWbVR6xNb9+CSdiT/EWjvEaIwdyFIbX8MzRZ2d3u+O25efB3zWzLYdxbZOAL5oZk2ShCPpHXjYiCfgD5Z/4rbyoxo0TdLncEH7zZ7j78PjTX2kou7puJlvFo5hV3xj+5l4utXCvRRJV+LCLMvJvBdwsFXY5ku6Gdh4FFe3o0pa7f4VOBUXGnvhqq47gP2sxvdFHdLPFp5nKb0/hUiaiseZ6b3wxo5CktYG7q+SzqlcX7lSm7ZTUC/Tox5btmFVUKfWzFIFNu7ZMbWwc5Z0Mj4DPrZ31jYKG4szgbNxp6R8ALQqyyE0Cg5kkn6FO0YdayUBwyRdY2ZbFR2r2wBtS1rt/gzPLfEYNIovg9yrVEV7Ag3brRxLkm4CNrGCfLbUhNiWdAHw2qxvSUV1Bp5DY1bZiifbcO45dmWVwE2brO8xs3vKyjSharznymyHJ3NZn+Hqpqoc3SP6L+l3ZvZceYC40u9ZJelnzeyAsjplTLQ9gB/gXo4vx9Uz+9E+Ct73cDOvM82sMKtQolOu1A7tDMPMnimPTdPG87CJmeUd8rSEp6f3rwfuTBt4bZaOX8eDyL0Jtz7I973fjcWTca/qYTHwG9Alv28v++IRQqtm8Q8nK5P8PXw4PfxqbedbciJ+j1vdC+s/VlXdWLLeh386+N8GG+/rMdz34jE81Psj8gCAwzvitvHgkVEPxe+74fe9LmDbmsBN8mivjScTBZSO9xwn4N7Ds2k+DiZJ2t2GUobuztDzuO777pp+dgQTbQWQxQRZLCElXWZmL2x5HuHLw3kN2mocf6RLO+OF3IfivQzpKa/AbbkfBVa1ijDD40WX7zLVy2bhc4BtzH03alc18sQm6+UtOGrKrwV8mqF7+Gs8kuX9eGa6EeoatUie3lPv4jYrmPFCbgr7BjO7ref4DNz0cWZF3SNwtc9P06Hd8QxwnwNOMLO9esrfgT/wiwSL1cywC8eRmV1WVqcrRSuUBnU2wtVaM/EH/rV4Jrs/Ac81s4vq2kuqsVfjK7YbzWxG275PtBVA5vB1T9KB3c1w88ZCJG0PzDCzk9LseuUGD+U2eXdbt6PuyeezB9H/A55iZrukDevnmlmpJ6G5hchRJR8XxYr5WUn/svO1nUk1YbY8Lvo5DJ+11ZmBtnYgk/QKfP9jWWCDtCfyqarrMndkelvJx2W6+u/RPnk6wC1yh5/efACdZnplSFoVV19kE5vL8PtQlhDlE8AvJH2a4ZF5D8MnGKWY2eGSfoHvmwj3AcjCOYwIZ2ztPJt7614mt46ZYWa/kodmmVxWvst411D+hUskfR6fhTcat+YB8F5W8nHpwz/x8zTeP48LDmO4WWljJtoK4OX4rGsanlloFTxWzDkVdQ7HB+jTzWwjecL2H5lZZQYfjYw/siru9FMYf6RrO11IP6KTgP8zd4BaBo8ZU+pQI7diOpKRexpletfKmfgYzaSKLJGspS6/kQOZ3HnnxbiVTObIVKd77ZJWM9tnmZuW7VPwtIN1m3wnFRy2upVDzzlm4r4KpZnf5BvvN+LqN3BVx6Zm9uqKOpvgQQ8zff+NuIFBWXa03vprMPz+1QnrKXhGsMzT+FLgW1YRbkHuBX0gnmVuw7RC+aaVhILoMt5LxmuuSvl3rBbpRatQi/SzRUyoFUBuc+5BXC/fhFfhoQGuTee4O20+1bWVpWhsGn+kUzuSCpOyWLUZ2Jpmdoakw1LZRZLqdI+Zfv2zqa/7M7SiKmq/8wO+q9rDOjrV9dzDzDTwyfhyuoxFZvZgvdp6GK3TajJ0j/+eHpx/oSSJTB7rYPtewMHAc+Q5iMscrjY0s9fk3h+RVGlVfbsRv/ZWpFX7Mfiq/a+4D8FteEiXKo7DfXC+kd6/KR17a0Wdg/CcHlelPt8mj7RbSJfx3nW8JtqkFx2GpBEhRCR18nGYUAIgzYqKoglWPVj+bWam5CmXdOFN2rqkpK0yqd6pHYZvZi0PbADcylAugiL+Kbd1z9raFheKVaxkZudKOjrpvA+V9Ou6zuX0sMOo0r/SXe3R1bztXIZ0xU3v4Y2S3gBMTrPD9wC/rWmnS1rN4+Umqh/DVVtPwENVVNJViOaxFKW0ZiLyqKTtzeyKVHY7RgbJGy2OwtU/v0yropfhFkB1bGXDLawulodTr+IxM/t3JuDTKrlJLKHW410e4O9zluKEpe/7A2b2sYqm2qQX7SVvibY87gNyLR7OuhUTSgAwPJ3b8rj0rAsWdoakbwGrpWXhW2imL8tb7iyPD9Qqa5lO7fSqbZJe8e011d6PP0w2lMdKn4pHVqwiS5R+u9xs8s94Uuo68pt6WQTHNUrKZjzNzPaUtIeZnZx02bWejyoxb6ur1/EeHozHi38Mt8W+AFeRVdEqrWbaQ3rIPFrs5bQLotdJiMqtSRarSszs51ZtEvoO4JS0FwCeIGbUw1snFpnZQkmTJMnMLpSnX63jcUkbWgqVIHcMq1vxXibpo3jAv5cB78L3U+roMt53MbOPZm/M7AFJu+JCv4zG6UV7MbOD8+/Td/e9kuK1J5uwL9wb8+IG5V6Gb5h8AXhZH+1dNk7tXFvz+XK48H4WroedAixXU+d5eKiG6bhDzbnA8zv274qaz69Ofy9P/VsTdx6qO+/cnr9PwGeLY3EP92xyrOfzV+F7Qpvh3qjzcLv2qjqXd+z/dT33YkrdWMf9Vi7CJx9vAS4EPlNRfhIeahl8P22VrmO24TVdhHueH4s/sL6Im+7W1XsJrs67FN+kvhN4UU2dSfiG/Y/wRDJvI+15duh33Xifm//94alC59XUeRce1PIluCrob7hzW5f+TQFu7lR3LL/wsX7h4VPn15T5bJNjBWXWyL3WxGdit45BO+/PvT5Imo3W1BnxcCt74OHp/fq5x1vkXjPxGeP1NXXemgb3C/C4PvfhseLr2roq/b0Sj+a4HHDbUnAP39nH/ft46tO0/JhqUK+1EE0Pokm595NJAqSiTicBVXCed+H2+ctUlFk59WkKrt56PzC14fmXw0OZbErNZCeVXwkPkpe/Fys2qNdlvH8YN6s+ABe8VwAfLim7xyjc65/hGoBzcK3I7bjXd+tzTSgVUM50UunvXyh3zsh4WUGZXRrUm51raxG+uVjlade1nbx+dhE+Mz+zqKCkJ+MbZ1kOgnys8xVLzr8bDXTOFeTd87MIjoXp7FIf+1F7FJm3fbu6CtDuHu6C26Kvo+GhK1ahXMX3NnzTsQuZzj4fKM2ovy/Z3sHHabF3gK9QMrPeymQriQvlsYRq00jWUOpAJumXZrajDamiHqdB8pNkiXeXmf3F3LdjM1wV+0dJn6zp40V4AvrMMW4FPGDd82qabTXeAcyjEt+Az+aFT7rKVJ6H497u/fCFnj7+0cwWdDnRhDIDbYOkd+KzkqfiiZ0zVsaDyb2xsGL3djYE5vfTTvrB/91KvhR5qIU34zOTaxgSAA8D37Xi+OjXM+S4NALrmEmoCrVITl5xjr7M2yrOuymuwvkUbtOe8TAeO/+BgjrX2ijnFhgL5NFrj8Y3poWvwA4zs9Mr6txRcNisYciThv2qTLVZUe9a4KVmdr88NMbp+N7NZvgmalV+5BGOgEXHxpulbSxNKAGgIceLPA/iEnBRT9lVcTXEZ4BDcx893GR2I6nIDvpB4AbLBSvr2o6kTwBnmKc9XA63ANgMl+hvMLNfVdR9jZkVznALyj4G3MtwAbB4FWVmhZuYckepuZbipKf+vgb4I+7AU/TgyOo2Tk6eyi+e6aX3++baqpvpIanIDySLrPgtM/tXT/nJeHa3EYmESs6/iOJwu9k9rNwkTOafvf4XhRYb/dz3VH5t3EpEuErtLzXlly+4PyOOFdRr7Iwo6XaGG1UMo2jikuotjq8k6VhgoZl9Mr2vfJgn44iDLTljSdoSj53/3JLy/Yz3bXG/pGfijoWT8UxsI5w5JT2Cb+6P+AgfS7XCQcVOpNl4/4CZ3V53jsX0q48azxeuG/53utDZ6f9rcB3YjiV1NiTpDIEdcHO/1Rq0dS6+lD4zvf6Wjt0GvKmn7CTcFbvNtcxjSAAfiG9wTcYH0dU1dQ/BVUyDZmsAACAASURBVBbCrWWurbj+6zre67kknSkee+n3ePaht1KvX7+j4FWqv079XyP9/wLcuuY1uFXOjxv09Su43v8V6fV9fJl8LPC9kjrnA8s2vBfXpe+m8FVT93B8Rn4v7rz3l6pr6vO+nwPsjZv8Nv2eG++F9JT5Ba4auT69XwafHBWV/Rse2+ikgteJFW3cSNpTwB+aL8h/VtO/rfCV/6/Taz6w5Rjd91l4atBsnOwPHFVSdh7+TCp8NfzOjsCt3FbGnwMH4qvZ1+OWX81/520KL+kXvgR8Vu79xmkQPRWYU1JnDkO5W/+AO6Kc16CtnwFr5d6vhbt6r1E0+PBAdeu1uJbrcv+fSW6TtO4HmPvRZTlZNy2rQ3cBcH3u/xPxGOWN+tdnW8fis/7F31+D+iM2MrNjlFhj4Ek1rsH16os3kUfzHqa6N+AThOw7Wwv42Vjcd+CFuLPUH3Hrl9fiarSisk9OD7ibcQfGbONzB+CWBtd1TcE4LvsNdhovuJnub3Cd+XUMTZiehqtX6+pPwTfQn41n7RqT8Y5HMoXchjvw29EeS7lzXFVw7Mre62jymlCbwMAzLBdbx8xukrS5md2uco/OLLXjq6lI7VjAdBuexPo+YCNzfWSRB+3awDx59MG82qMstsxjSTVwL273nl8il23oZrRJgdgopHRRG/LQwo/gm1vfyH1Wmzy9jdoDd8bKElq8BJ/RZDQZo1MlrWfJe1ruGTw1fVYWDuLu9JpEfSazfuLvPGoeKXORPEfvfVRvAHe+7+berJclFdeL8c3rE/FZYi874ftJ6wL5VJ0PAx8tKN9LG2fETuk5zewoSRfhv61fWnrC4d/ZwUV1JL3YzC4uUOHOkHvLln2X/Yz3R+ShHebI8yXcg1shFVEYSqYl/5X0Oty8FVzQZ7TS6U80AXCrpOMYHo73tqRDLwtrkKV23Jd2qR1/Lenn+EwK/Cb/Wu7h+/eC8m3DDx+Cf4FTgWMs6RiTA0mdgGqcAtEqAsTV8GV89fQQbmM8K/Vvc3yAlyKPi7QDLgDOw62hrqDcU/E0/MH1V3zv4NfpPE+j3sMZ4APAFZL+gD9sNgAOSt9VYYhqMzsitbGyvy0Po2xmdQ5iVcxKlk3fxtWW/6Daua3zfU/lVsDH+evxGX3Z9Z8MnNxmP6mHNs6Ib+pwfgCsIPaWeSC1Ml4IXMzQb31YVcqFeT/3/U246ufdeKyoaZR4OJvZO2vO1YR9cLXnN/BruhJ4Y/ru393mRBNtE3gF3OImH9L4WNybc8WiH7E6pnZMM+pX59sysx/X1FmLITftq61DZqsmaPxSIK6DR0C93lIM+LTJOMUqYhUlk7hN8eXupum+fMfMin6UWZ1tGZrp/TMd2wh4gtVHA82shp6Bf1e34Invq4KFbYI7I2UbuH8F9rUxDN0tT9O4St331Md9/yGeR+J8PNHKpVYQu7+nznL4w2o6w5OZVIbfSPUex31xhIfemGQtEyCNNpLW6lm5t6nb6b4vDUjayobilzWvN5EEQC+SpgF7WU3OU7WM+15yju2Bvc2sMPF1WpJ9Ht/MFR5e90N1QqNjX4TPAp5qZp9KKo8nm1lt2ITxQNLVZra1POLmi3C1wo1mVhWbZzTaVWrvDcArzKw01IWk3+LRVC9J73cA/p+Z1dmJt+1ToTmsjXK6ytTWzsCFZtY4OY2k80l5ecmFV7CS9Iy5eiPMGYuOjTeS/oLvu5yGZzUbVTPinrbOMLPXpQnPiAep1WRvG4X2N8bDaO8NPGgVuRjKmGgqIORx9vfEL3od4Kya8q3jvufqbpbaeT1uyVKlC/4/PGjVfanuVOBXDOnpRpNv4CqfF+P27A/jG8lbVVXKI+lA3DrjrLpZYgfaqj36QtI2+EP/VfiM/iA8XHEVK2UPfwAzu1TNA/hl7e4G/MXMZlcUy/djeTxCZRaKerS5CFd9ZULnMjwEculKCFjXzHZu2oC6OSOOJ+vgDmB7AZ+R9DtcGJxjZqMd5O6Q9Pfl/Z4oPWv+YgVmu5KWtRTaXJ7jYO/0WoSnoZxpZnd2arjfHemxfJHMovBNun3xpe3tuLfegobnmI17ROatFUaYq+Fp1gA2wk2qbsZVTAfjfgZ17dzQ835SUTujdF+utR6LAlru/uPmsMdRYZEySn2dDjxnlM95LB4a4CjcLPci3FzvicAdDc9xFm4BND29Pgb8tGU/PoubQ/6iRZ1peOassbjX38F1/i9Or5Nw1VtVneOBZ7doYz/crPVhXNd+SXqdDby6ZX9PTmNwk5b1fpXu+8tryi0L7IELgL/giefHbKzn2p0M7NOyzvdxU9RTCz67EDcT/S1uRvpxPNENTcd7abvjcUP6uJHn4NL8UXw283yG1Fa1wcVSuSy+TP5hOSI+Cu6a/hp8Zn0ZHtGSpm3h6p8LcMuKN6cBWhsLKNXdBLep3jd71V1TGmSZIJjKKJiXlbR1QMGxyrgjuC3/iNco9ulF+AxoIS6kF5s7thgXqwNfxX0QrsM31VYfhzEtxm5iMGISUHSs5/ObcEupW9MD6Iai30dPnUltH3Al59kq/eYa/U5y9Z6Cm7Ae1KDsDHxC9/umvxF8/+rd6bVpRblV8ExoXwd2TN/twbgZ7tkd78kIHyU8DtT2uJD9U2ovm7A2Gu9lr6V+D0DSurjKZy/ctOpU3MP0Qmvgri7pBHyGeCg+2N6Db+q8o6DsygwtH5+HrzhOx2dRtenpJL2GoXR3l5tZpXoq1Sm0mLFqN/d9cLXUlsB38Qfgx8zsRxV1puL5bNcxs5cn/eHWZvbdmv79Avi+mf0gvf8G7lhXGhdJnl4vY7Haw1rmuJX0K9y661gbSgaU/3wy/sPbG5/xXoJ/f9OsxzO8H+Qhlkux6ox0X2NIP5xt3t9pLUORSMpCQR9rZoWmvfLQCXva8LDJP7YKvXxSKYzAkkdsRb2+w320IZlZbpTe3mrVG/zr4b+PvfFnxunA6WbWJJz2Ibj5bKbufRVwvJl9raDs2Xj47N/hpqOr46uOQ8ysMqlOqr8rw0N3n9+gzqr4c2xv3B9iNWAn67j/t9QLgDxpQO+NP6Bn4F6WZ1mFWZg8F+j/MSShL8CDNdW5uq8EvJKhh8vJqa1fjsKl5NtpbTGT6j0DH3TgYYIrB7ekc3FntY+kdqbgK4jSNJKp3gr4SuxEXDjdb2aVuV8LzjENT5ixd8t6T8Etg7Y1s2Nryi6P62L3xmdLF5nZGwrKnUS5rbQVCTZJVbHWzcxGZGjK1d0v93YR/vD/TcX5SknWXtua2bkln78EV/vcjo/19YH9LbfXUVIvn8t6Km55dUdNncbhPtRnfum0QX8yHphNuBptPyvYSE+b++vg5tunWzLnbIqkuXhIi8wSbSXcgnDEhq6kG7LfT5qM/BU3NqnKv5DVzZLjnJoO7YU7j1XlEOg9x5MYEnTTzGxa07qLzzGRBEAeSc8mbdCa2YYNytfae1fUXQNfhby+dxarkgxCCavrW1eLGXlQsyyR96/NrDJDkqRrzGwr5QJzqSKeSrrmjJXxhOu/IQVQK/qhV7QtXK1QKWxGC7nD1avMbd17Pyuyz14PT2g+2czWHev+NUXDk5qvgIdFqHy4JPPMzDTzFqsxy1T3nNlFAsKKVuXqM790+m28wZIVn9w8+DQz27Kkrcut44MtTci2yiaIaWJxTdHY7bV6amMFlQTN5pYstuQZy64tEjQNz7d+3aqtiAlnBZRhnoD6Bmq8FpOgOIVk7y13NtrPPK9p07bux0MHfKvg417Tq0m4Pv+D1Dt0QQeLmdwy9Uz8h/59SYXL1Bz/TA/1zHNzK1zYlJGFw17cLB5aejdqwhmXqD1KBVSZGV1q09r+KMwjnJY5QC12ekoryo/iy/CjqQlRLM8wVXTO/1dQdg/cwubY9P4qhryTP1KlrkvlFyc1xzcA1wW+ydCqL1+2TBWzjdz7tcrktGvO7FqVaK5s5/zSiSmWM+E2s9+nFexYtHUScJWkTH37SsrHxaaSsiCBwi2jHmJo3BZ5YOdZBVchQb03eiVdHv4wgQVAC76Fx3jJ23sfT31c8EaY2d/SeSfhHoEfwj0KdzOzmxrUf1f695tym+xaRyE8L8E2uWXqZ3E9ZJUA+BAe3+ipki7Dl8mlaSTNbIN0Tc/toLLIL7sX4bO1qnP0bUbXBknPxNWCm+Ob9+9ouGeQt69fHheGZY5jH8aX9RnL4ZueK+EPmUoBQLuk5kUmr4arFtfFDQbK6JozewrwTnI6bDzyapVufgYeNbc3REjdXt6stJeXqeL2wScoo46ZfUnSpQw5gO5vZoUTOTOruq91fA64Vh7qQvg+4Ccqa4wFNgbWCEvTiw6WES3PPwWPzHcLbobXKKJfrv52pOiNwBvxuCzr19S5gVyQL/zHVGlZggv7ZfGHwmbp/9LsTbl6v1vS3+Eoj4cf4T4dB+Ez8nzmt9pMXT3nWh44v+Sza3refz33f5M0iMOs19L3V2mdk6u7PW6FdiXuEFdV9oP4JOl2fFX5OxqkJqSbyekV+ApmLr4/8UngiAZtLYeHnvgJbr77PhpkBes4PtYoeFUGkuvQhvC9rXXwaAOvwY0zxv33MGH3AJqSlnLX8v/b+/a42+Z66zH2dtnC3unyllwil6g3uZbKcUS6qle5xSmh0CkiSRdkR9QrdQgdKkm5HSVFKuRO5brdSUIHkUsO+yVqM94/xm/uNdd65n3NNddce8/x+azP86y55m/N37OeuX6X73eM8e2tHj4ECye2rOn974dXuUfCFK0+KN18Kmp/EzworxX6eALMp06Nm5LcB+Zjx7epP5B0ZEabSspNkl+Gv7A/Vc7NUkPYI+5zvhg8uSb6que8z/oAHpT0QMJr98auEf2MxExSiUIogZFxraTVEl67S9KqKe3+pPzc0OGw59SOMLXwEwBuk7R/RpvNYI64YFXzBQX/js0RI0kUaceYV3/WsYHXr5O03kDy9HJJ/5LWpi6Ee/MhSVflnHcvnGR+HP48Xgh7AT0MYFdli/7K9Oc6JeQwKr7XJ2BR55kqyX6b6BAQyZNg975jlR7T3wU2aosG4stgv+6y10qjJP4Gve324M0v5DtJzpOkcIMeJemEAebIFKjENjWEDZaF45OvA0orN/eBwxbzSD6D7PjmUGEPSX1xUJJbwmGQstgTwFok75S03cA1VqrwflF/5qA3aUyHP9cp8f+Aq0juKqmvpCXJ3VFMFf15ONR3M7zD/OXge8Xe8z1wSOsJ2N4iN2RHG+29TNKVYcC/IBzfmOQqClTSDDwXPy/kU/IsKJ4JYcU/ktwDwAOw905eX98C7xZeiX6/ojJVy94I4HW06+y7Ms77Ncz2Oy9c++0A3gl7K307vE8duJrkuirgc1UAqeU4cxtO8g4gJDJXhPnsU2rvBmrW1yTl2QIUuVZhSmLJ970Uvul2huOpj8C+6kmsg8zKU0qm4O0MT4JrI3iqh5eehHcNebHowoiYRrHnx0jaI/z+e0kbVnjPSu1C26VVgJJX4v3iq/Z58IoykWUTJt6fwUaF0Zd8PXhS3FI5hmUk95J0VN6xcPx5APfDifYpX2gl0Cxpp9svaiDfFHZPBymfhlyachq+r7fDq+pDYIX+4Upw/Bxodwcc9hn0K3osq10VkLxWA5460THWWFIyEB/WhGuUPIXewqpRL6WJngCKgORFKilAirUd2kSuwDVeDvvYXCPpclrEsokSvPPZo5wSnvji29T/VgozI0yEW0k6o2Ifl4F1F/HEXRIHe9iwR9zDfRrMsPpXpZfxy/yy1LS6iqiA/1SPsrcqrIm4V9I5OW03BRBRem+VdFHBayaF7BJr67ICzZLkLZL+d8q154docvpYinJaFSSvklRq5U1yGzg/M5fkAbA19iFpO+VYu/Nh4Wjccn5zeBdwTZEBOiNaED8n8btQYOcVhR5no0cDvxT2NyttfDcREwCHEJKQ/AY8eP0Y/YKVvNj8fBM5mRFT2ERuGDDHdTSccxxsbvXL8PxdcPHsz2S0qRRrJfkx2PRqeZjdtCGcGJ4yqZI8BVY0JoU9NlGOEIwWaUWYBwt/vqsUW22SWQInVZ34E65zKRz/vTN8ca+BBVBrwpWpUuPyFa61Pbwg+Bc4XBlhadji+m01XSdrss56LVP9m7IwOFLS3mnf47TvVGyC3xYOuf0U3lFF7VIneJI3SVorfJ++Cn+Xv5g3kdBmkweh33L+y3B4bUVJd2W1D++RGy0g+QNJO+UdS2l7JlwuM6I6fxi2rEiqY579XhMyAVQWkgwMKrEm2iXnmpFj4yXqCadu0ggsXsPksgN8o98DJ3NSK3klJZCStq4Drx8AawwGlZtJxc7j7W6G4/i/l7Q2rUD+8mBsPZw7VNijabCgmG4gaXkwgJdI+kRYAV9bZLVcok+vBLAyPGh9PvbSXJgFVIvFBcnTYAX54GT9Ubi+9JT/b3g9acczn3KqBGokyfUkXZf2PU77/g4zwUe7JZJfhRlyp6btoMaBwR1eyI3crAKW6UmhqKrhqYlIAmcN8AXalk74BsyT9ATTS01OAUuUQaTVjJGX92PwwExJby1wqUfDgH4y/OX7UHiPLOwefsZ3CYJDSVl4RtIzJEFycUl3kHx10olhpf7mgbDHuXlhD1r0dInMdSd6xnx/BrBTkVBOmc8+nD/o+ZIlpouvkjaF3Wgh6dkQf68Nkv5MM8ueGua+L4C9AZxF+0pFzJb1YfbV+zP615cbCCvs/WGmTGI1qjD4T4d3UYU9kAp+F9LwAMnjYW+o/xsm62l5jWgrjP3g+zd+LyXteEsLGEl+Dp7Ylyb5t/j5yBEixvB3khtJuiK851tgW47y0Bi4p1Uf8Or47sFHTpvlYbrkw3D93TPhlUretU6AV+U3wSGko2Fv9bTzD4LNyP4KJ8cego240s6v5DoaznsR7F45Bz0ny1Ic9hKf+VlwjmE2HJL4OcxIqfMatyBwrcNnfh1s7fw2eGWe177UZx/a3ISgvwjPl0QKzx62E/4azC56GD3dxqy0NjV8JmcDmFWx7dKwn0+Rc98a/q49AWxa4hqbweKviwFsXrDNeXBItezfs3i4L74Ii6W+BOBLOW1eAHPsI9vkZeGdTd61zofZV7fD5SW/jxS3UjjxnfpIaUN44f11OKw1HbYgKfN5vB5O+N8bHnNQ0XJ9InYAMcRDHDNgJWsmMwYeEE5FT/X6oXBs85x2e8Irm2dD+/Ng5kIatkbP1G1nBlO3jPO3gncAF9MK4NPRY+hkQmb77JV7Ygy018hu6Fdufk85IQVJ0WpwdtiSz4JZS3VinnoK0i0A/FBmePyG5sPnoexnD/izjtMWn0P65/8xmIWyBoB3KiiwYRvvb6a0GRbPALiZ5AXoD9l9Kq0B+21PSPIR5NieyKydrFDL4DVKU05juBfAlSTPRv/flPcZ/hy9qmWFEs2Snib5MBzL/yOcU/pjgaYvlqnYe8k7sEtDDijpGqXtF+QRfB6Az9IEkBUBLBJFGiT9Nqt9CBW9WjZ0nBnaZIZxszBRE4Cm0r6OJHkFsiXUL5UUzwP8gGQRN8v3yMm9+Qm+wCxIo03+XdLzJOeFf8zDyPDLka2iz2LPdfTTAF5GF73PdB0NA3FSMi0r6XksvMr9fnj+IZgZsVvKNWbAtZRXhbnoJ2h0IYnn6dqrj8Mry0Njry1RoH2pzz6gsOdLGPC/knD8StggbxQ4NzzKYKS2JwHnwJTTxwB8bjBEqmySxF/CYxp63jdFkpClqpYBAGMmd/D/elE4ZJppcgezdwDgwTDZ/QWOItQK2g30wwj1q8NhAXh3Vrtwn+8B4IxhBv4IEzUBsJ/2F9EE80yUHiX5IXgbD/Ri7nn4AqYO9knHIlQqgxgGl1MAnMKe6+jn4a1oGvaN/T4D3k3kJQc3VL9K83ySWQ6iJ8FfhsthyuNrUHLXUQJfgv2DpsPspluB+cn/uwu0L/3Zq4SYbhyQdBJLeOAHDF3msgCGicvfpgHdSVhU5eG3JF8nG0AWRSWTOwBfoWmWn4HDvjPhfEnd2BrA6sqxpU/BBST3RQEr7jxMBAsowgArIKIJHqEMnj7Nqz8GwJvgGfa3cMGGxO0bTal8N8zI+a/YSzMBvEZSrjKV5EooZupWG0heqmz7iDmwRfK94flK8E4jkRUxwHxZBMDVGqFIJVxjaUmPx44tCd+jhS28i372TBbVzS0wyDYClvDAj7UZqe3JsBhkvqQdS2h3G7wTvQcOAeW6xLJns369pHWZ4etfoN97K8NmJZxTarIOYd8PSHq6Qn/uSTgslVNGA5iwHYAqsAIk/TfKyaP/Aq9G34d+x8G5cJgmESETf0NY0W8EYF2SR1WJE+ZhYPCaBlMtX57TbD8Al5G8E/4CrQonu9Iw/waWNK8MG6oKQi7i8YFjT6Wc3ofAHPo3AK+SdDDJFUm+QdlVkq5HgudLiBvX5vkyBL4BJy37PPDh/3UaarE9qRuxRdVyJL8Ve2km8neugHegZXFGYAG9MLDMdoF3iFWwD+z1lYikyZpk5mQNjydzaNFYXNuwT4H+rDm4cwgh29KYiB0ALcq6KRpMSX4JPZrgXkqoXhTOSYMkpSZ0A2Xth5L+rUQfS5u6VQX7FcHz4JXRwQq0sIx2S8DiJcLb8VTqGMnn0NteEo7FPw1kegGNBSFv8jzMYlmTVi6fr5gtRUKb45Du+XKUEgRDtEhoX0ylm769zr8nXGuK5iTpWOy12mxP6gatt1gbwMHoz9fNBXBxfNc30G6mpCdTdmu5IQ9WMLlLeZ/7lFFtiyUK1sTaJC6+JOVSQavupJIwKTuAQ2EFKkhuAW9tt4djfMcBeEdCm6TV45LwqvfFyGD0SHqO5ItJLibpHwX7WNrUrSpUohgHybQE4Dp0sZBE1oGG8zpvGm8M2/w5ACDp8bAlz8L6itWFlnQ+ycMk7UNzxpNwMkyL3RK2k/4ITDkdBUp54Id7thZ3ybohC+xuJHlqFBoJk/QKaYN/wKkwKywqThTfhgopif4wGZ4nq6YrDfqDf0LO64UL1sTOOSHco4XUxQAQWEPLwcaO6wCljR2nYFImAMViZR+AGSnXAbiOtkJNavCN6PeQ/NkL3g6fjiDkycGfUY6yNpfkF+DJaeNwE2beBGVBm2ndJ+mh8HxH9HZCs1NWRAcmHBMsdMkrFtI4WNB3aAD/DJ+3wnu8FN4RZOFvtCgn7vnyeHiftLYvlXQ8yU9KupDkRShBoSyJf4cnmU/BX/TLYDfKLMwJ92sp25MqCJ/x5zB1N5TFRLuA5PvgcecGAI+E3FVi2EPSFuFn4QVPOP85kk+TnKWC/jjstyLvewn5TLTSBWtohtE3YeHdyrQbwEHq0a6T8A4AO8Hf2/g4NBc5lRHTMCkTAEkuBYcgNkP/FyE19hW2jvvA/5CTAKybs+KII4myloXtYLHKRyU9FJLPXy94raKIlI2gPVkicdLaMN1v68EGGrC+JbkhTG19GKNhN1QGU3yHYPVtFr4Fr8z/F02v2xpAXnHtHWAB2c+A+Z4vO8AT4rYpbaK8yEMk3wHfH6ULcReBbKz2TZTTGbwIZrjFP68iluRVcApMkngPTBf+COxkm4VZIaTzMQAnSjoohE4TweHM/krpKDRgRV4SVSbrg2Fr6YvD9W+gTQZTIde4PonkVoqVNh0Gk5ID2AWe4Z4E8LACJzhsg46QlFQn9evwbuE7sCtf6WLw4X0qFZNnAVO3Cn2ZX3CD5LEAHpE0OzzP9AKhKZUHwqrKwyT9qq5+1QWW8B1KaLsGvDgggAsl3T6C/r0PVm+/EtZVzAz9q22AZYrGI0BJ9/o4wF5xl/l5CeYz0W6GY/InwSKya3LyGtHuagZM+b4R/v+uBVdM2yjjWonh1zCIjh0MNueM+RNlfRYDbReHd/4rob8+wsFl+zEROwBJ3yd5Hlw8Is5dfwjpLIfPwNn1AwDszx6LpVASk/aW+RH6i8nvqMBRT2kzxdQt+y8rjel0QYt58GAXF3El/i/DSvUAeEX0FUmX1NynOlHYdygCrYy8SbY2vqPohVjC8yX22tnh15vQM5GrG/smHNsQ7muaK+p+kg4neTSSBYKp6uEhUEUwdTCsqL8iDP6vQoY6V4H1R/J0ALsp6ADCdzPpc4q3HflAz3QvoKgPWYP57SS3BTCN5MrwzjezLkIMpZXRaZiICQAA5PJ+DwwcezDj/Fzjpxx8B1NVld/FgKqSw5m6lcVpsDT9Udj86fLQh1XhGyIJvwJwH0x7/BTJvsFAFSxkR4j7aUHXz+B48ePwwJIKWRl5I8kVZcpvUUQhjC1QMIRBMikc8wTsCFpWtZsIxeinA7u2j2fs2qLdzrV19KEgkgRTqTRpAJBFYD+OPb8bXsnmYQ3FRGCSbgmLrSkgeYakbdMG5yIr7BLYIvyMdvnxHEAev38PmBH1PByiOw/F4/illdFpmIgQ0DjAgjVPaTfIy+HY/13h2N2qIMoo2K8NYWOr8xV48mESWiopJkpXbkqFpAtH0c9hEQa/WXBRj0wmVkjGbgCrf+Px3qw6EVVCGN+Fk54/CYc+ABvZrQgXREmtx1AGYdd2ILxrO1QZVbZS2i+pghqKJkFbsycNynnW7KfB/9e4++1SSqgvQXJZSQ/SttpToNHocq6U9Ja8Y+H44nDfHxs4/hJYiJi7oif5HQBHq5wyOhETswMYA+4meSD6VZVJCrzKpm5VoITyeZLuzDi/lQN8HEzme0c391IA8iTuX65w2SohjFXgwjYRlfEY2BjvHXBocugJgOQ1AF4KEwh+F47NT4ZmJT5JvgnWnywFYEWaf7+7pESmXMX+DRNuilfHmgHbNWTu8AJ2hhOtkRXJZQD+M+nEMPhvieBhpaDzGDGWZL8985thynkSjoIrjg1ayrwbTgoXyRluBGAnWg9USBmdhonaAdDVmO6Xfdg3gZNBP5T0PyO41jLwwBJ5xVwGUy3TRCuRqdv2cLuJDgAAFtpJREFUMAvjJOSYunUwSP5C0hbsF7hFUNndFK3K3iErAU/rSS6HWTxRCGO2Mko8kvwDgA0UTLho47mrJa3BikKchGtcgt7AmvRZZBVBuQpmQJ0dSyymln6s2L/3SjqnjiRryN/8JutvqtC/b8N5nd/CebJzlCH6rOma68Emi7PCof8BsEvKjvw2Sa9JOE4At6hYQZj6djeq0cN81A+YGrgIPLv/CcB/oGZv+pr6+SK4AMtF4+7LwvKAqbCHw3L8iwHsUeE99s55fXfYnO67sN30XeHYkgC+2YLP4Krwc07s2I3j7ldGf18N4K4C560Gh91uQ04dEDgkNz38/gIA1zX498xETg0HALdnvHZbiWttBBsYAt4xrlylz5MWAnpe9qV5P4AjJR3NoP6sC2lxygBJyvLPiU76G8zZP77Ovi0MYAkh2AgS8JmeL7II7Fx4q06YAnpfrO24cV8IP4hWmX4KvQRxLeBw9bkjsVVUAeshWEyWhxNhzcZ/wG6kOyM9zPoPSc+FvjxNjtjEClNpmex5+yfRMh9lKJE58B7rIj/UGZ1b1ep6CiZtAvgnXTT7IwCi0nS1qm3RH6eMsCIsmmqVarYM2KCPTVWwvBDsDjiM8171EvCZTJS8LhQ4Zx7MqloENv1aQTlFPBrEx+EY83KwZ//5KBZTLoMjws8PwAaEJ4fn28O7r1SouthqCVl5TTnMMZvk5fCkMIg12BOXEcAq4XnlOHkBlKFlfhbAmSS/h/5SnLvAFPIiqGp1PQWTNgHsDN/kh0q6J/BnT85pUwqKKewCT/mLcBWtr6F4zc42okkfm6rYCz0h2FsZhGAZ59edgM9MiJE8DCYD3I6eXURuEY8GsYQGDAxp/5jaoFAUiOQhkjaOvXQOybSd2jCKXgB4JuQL/kgXQ3kA1gQlYc2c9xoFCtMyJf0+MPn2hMcyALgVwJuVQWsfwD8kiWRkfVK95kNT8bFJesA30cnhH7MTgEXG3aca/qbrws+bwk/ChdjH3rdYH68JP28AsHj0e4F2S8Lc61/A/Ov/REr9V9g35cmEx1zY0C/rOn8AMKPBz2MZAG+AFyAbA9g45/x5sFZkidix60fUt9th++3o+cpIiW/DOZmL4d3cP2G9wnXh9ysKXGsDmNm0PBzyOBMucDT2ezb07zsAXtfg9faFw8t3A9g1fK57VnmvidoBkFwNwFcxNYxRG+ee5I/hLdkRsLDlOQAzY3G90lV3WoLGfGyGQGkhGFCuqpqG83y5B/aGGjkqhMMAU2cvB3AFyW0l/QmjoyR/GsAlJKOKbSvBCfEp0BCKXtqcb1vZ5vr/oQX1DRJQGy2zCCQdQVtdPwnnAb6kqlbXYUaZCND1f6Nk0HsRkkGSkmKBVa9xL/ppeEDvS6Q6J5smwQZ8bOpEGSFYUwiLg7UAVCniUfZapX2R2Kt+9RaYqfS50GYkldxC8nON8PQO5YiYmOBXlXQsod1FADZTSwerpkRntOL/ZXIt6vjxjQE8ECb8UpioHQDKJYMqQdJKdb1Xm6BmfGyGRogXbwRPvle2ZfAP+HV4NIHSvkgICxVJV9IK8P9Cb4AeBdZDz5Ds9XR9iR9mnH97SH7GFb1FWEpzAPw8TMCFba7pAkgrKqNkbE1oamI6Esl2EU+H196b8FomJm0CKJMM6hADG/CxGRZ0Fbdt0LMvPpHkjyV9ZYzdmg8VqNZUI6qEw+Yno2VF7KYY8K6qCyR/BCujb4DDpIAHwqwJoLCidwClba7pKoJHoN9v/2Bl0FSHwLno0VtnwPmQP8CCtLT+VWHlraSEWteSrqVrYZfGpIWANoBXDC+EK3rNAnC4EuwROvSDDfnYDAOStwNYR6HeaVjBXS9pHMyOeL9Ok7R90Jwk2R+MJMQSu36hcBhTyqCqgk1wgT7dDuA1LQ7LXAdPGJeopN1yDddeF7bgSMyJhHN+DbPyPo0YK0/Sfhlt7pKUWDMg67UsTNQOQNI14de2JoPajJH72NSAe+HVUFTwenFY8T1uRHV2pxTcqRsczhcpbgA3A3arrL0uQsAtsA6gKHUxsuiYDeeh4j72mXm1QMc+Ck6EC06G762EWuAxzJP0RAM6sCmQdH1YrGahSnW5a0juKqmvuD1dXzizAlkaJmoCYEqxDNXoJRK7VmO+Qw1hObi0XcQGWgLAcrKyeihP8WHBnrHYswBupas4CcDmcKWusULS/eHXj0rqi8EGbUClcnwpqFQHN/Szr9QpySMAnJ1y+rB4CYDbSF6N/oR4VojlBHjFex16YaMiOBUmLkTlEj8Iaz7emNHmFpI7wDU0VoNV0SMR7JGMkwCmAVgX+dXRqrDy9gZwFsl4ycn14TBXVinJVExaCChe9HoGLASal7VtGuJaN8Af7kqwV/fZAF4tqS2in1IguTvMCrkQHlQ2gR0nTwZwyCiYLCX6lmgsFkHtqeI0xfCNCRbhbQFtq3G1pNVG8N6JttkKQrGUNldJyhq0C7djqKiV0eYFcOnTKKZ+Hnyf177Yoa0ZIsyDd7JnRqHMlDaVWXkk3wogMvi7VdJFFbs+WRNAEpjj4T7E+0aUus/CjIyjGSvfNokguTx6PjZXqedj0yEDYfL8OIDV4eRehKVhgd0HR3Tdwr5I4fx4EZTpsEnYwZKOGUX/yoLk1+B+/RT9u4ZEJXAsDLYf7LB5Ovz3bQcLBVNdPkluIxegyTw2DNirzjexmKgJYCAuOg2moX1LUh49rsq1roKpVfvDXjP3sGZr3aZB2wKsiP74a1t8bCKL5kPQixEXKt/ZQL+WAfBiWIT4+dhLcyUllmms4ZqJQrCscOcAH30egL+OaoCi7QyOhlXzi8ED+1NZ/yv2avzGobS/icn24PF2qeGwlN1aLZbdSe9H8mhJe5Zo2wpW3kTlANAfF50HKzNz3TkrYuS+Q02C7fexATzhfgAu5NGalYlcA+JxmKIaLURmwM6Pr5BUpKhJWZTyRQr06HMbXKAcA8fiI+X8jvBuJRUq6dIqaeWynSL5LvieXo7kt2IvzYTHjDoRn5jKOnEujWRW3idIbtoUK2+iJoAqN8QQ17oNThxFz++BDeEmFVsBWD0rLtkC3AcXxWjN4B8HyXfDk9TyMC/9FXBR81GIrUoJwVS9NnJlSLqL5HTZfvlEkom7yYEkadL7JK2G4+0XhfUDkfncJQCOjxhtA/gL7DX0PvQzY+Yip2ZxBQxzn7aClTdREwDJpALmT8Arxlq34mzAd6hhNOZjMwT2A/BLkpeiP0acOUA0iMPgld75ktah/ViKFDWvgipCsGVhFlXh2shD4Gm65sANJA+H6aBprpTD+C8BFostCuDb4fmHw7GPDZ4o6UYAN5I8NWWCqBOR9XTcdhoo5gXUClbeRE0AcLjnTejxZTcB8HsAq5M8WNKP0hpWQJkiFJOAuQDmkBy5j80QOBTWeMyA48ptwzxJj5CcRpKSLiB56CguJCmi9c0OsfNZyLehqFIbuSo+DMf994BX1isgZTKUNGy/NhhgWl1E8sacNm8gORtT80l1LuCGESh+E548+1h5tLXzJcN3rRgmbQJ4HsCakv4KACRfBq8E3gjLyuucAEbuO9QwmvSxqYoXqUUFahLwRPiCXgHghyQfRi+fUjtY0BeJPZOwSweObwzbpdQO9YzO/o7RTzzPkVxFwewsCMPydARVNQeFoSHM3tSS6nKTNgGsFA3+AQ/Dce2/kax7u7dA+Q6pWR+bqvgNybdLmmLj3BJsCe+e9oaTnrNQwYCrCFjOF6l2k7CMfsWpplOQE/aois/CRX/uhgfLVyLfCeAJSb8aQV/qxNiry00aDfTbMI0x4vJuDZe+2xfAL8qyDHKutUD4DnHMPjZlQNeMXRIeZP+JltBAxwGW8EXKoieTvFnS62rsV6L1cYS0VXFYTG0t6YyK110c9r4nillPl9IcNI00Vl7TQtNJmwAI06U2gm+EKyT9JLvVwg2Sy0u6n7a2mAJV8BBfWMFeUXPAq7bpAJ4dxQRF8lcAtlewHgkJ4ZMlbZFwbu0mYaMAycvUX0Yy7/wNANwn6aHwfEc4z/BnALOVUZyprOZgWISE+Orh6R/yEtAk/wDg9eNm5U1UCCjQA88MD5DciOSxkuoufN2o79AooWZ9bIZGWfVrk1Csmhhdqer9AGq1gWA1X6TaTcIy+neFpI1ikyHjP3MmwwtI7gvXKYizlNIG8uMBvC1cN6rLvSeAteEyjKnmfHVGA/JAe4WdBFtAEA7nfCTnvm0FK2+idgAAQPt6bw/Lwe8B8FNJR4/gOo35DjWBFGVkq3xsqqhfxw3meNJUeL/SvkiBDHEWgH8gwSQsWkGPG0HZO4hUZk78/iR5LIBHJM0OzzMriYXP5DAAr5D0LpKvAfCmUeTCaOvpHRQKz5BcHcBpktbLaNNYdbksTMQOIHygH4QH/sfgFQRHOctLGlw5XRn46RMFxnxsSMbjn0uj5tVhDSilfm0atIFXhGnwIFsrNThpgC/Q5q8A3sx+k7BzNYRJWBGQ3AjAapJOpAucLK0Mi2aVF3JOZ89vZzMAu8Veyxu7fgBTufcPz++Ex41RkCEWVazqmKQ7g3gtC61g5U3EBADgDrjY9Xsl3QUAJOtW9fWByb5DLx/lNUeEM2AH0MZ8bIZAlTKITWKb2O+R6+P/GcWFWMEXSdLFyPeUr6t/B8ET4KvhgXYx2Col1RKhpKIXAE4DcCnJR2G66eXhfVaFBaBZeImkM0h+AQCCwGokdFAA15I8AT0aetyuORFtYeVNygSwFbwDuJiupHM6Ri/KatJ3aGTQeHxsqqKK+rUxSPpwg5drpS9SDO8HsA6A6wFA0l9I5il+Cyt6w3seGoRSy8Lq6+hzmAbnArLwFMkXI+TxaPO6vEmjKv4drur1KXi8uAy9v7EPbWPlTVQOIIhwtoRDQZvCiZezWswbbw2Y4mMjaZRFwyuDBcsgNgk26OAYSAibSRqZ0GwYkLxa0hvYs01fEs7XpOoAknJOo8pDBRHd0XBI7BbYGntrJdTUbRJtY+VN1AQQR1jJbgNgu1EkCdmg71AToAvcbI4BHxtJHx9z1/oQWEAroN+yui3c7cbqKgcK5CFw0ZDW+SIFNs9q8D31VQC7ADg1i5ARclDbqF/R+5NRrXpJLoKediCXmjnEdUqXuiR5WBIrb/DYqDGxE8CoQcu0E32H4CIbddpOjBwkr5W0Pu2hsrYkRau4cfctAslDAOwE4G70i2NawQKi67a+Qz0Hx0URc3CU9Noar3U+7It0M2J2ExreV6c2hEXE2+EB9jxJF+ScvxmcL4grencZRbKa5CcBnBLTUSwD6yoSQzNDXusOJNhOSHoso00rWHmTkgMYB5r0HWoCjfrYVMS2AFZpS8gnAU06OLbSF4k936Erw4B/QTi+MWN+PSm4At41zFf0jrCru0o6Nnoi6XGSuyIlNj8kCttOtI2V100A6WjSd6gJNOZjMwRuga032hpia9LBsa2+SMP4Dv0urHrnx+HDIDiKEFDk2BolgaejZofZkGcATE75OorZTrSKldeFgFLABn2HOhgk1wfwc3giiH+RRuFnXwlsqK4yW+qLxAq+Q3Qp0uVgmugO6DH4ZgI4bhREhDAgrwTgOJht83HYVqLOPE0W5bZQ6DLGyosaNcp66yaAFJALlu8QG/SxqQqSt8Ly/8G4d2sEeCRnwdWc4l/a1tRVHjVYwXcoqJt3gnUD18ZeehLASZJ+Otimhn5OA7A7LCAjgPMBfE+uXjZ2tIWV100ABRFUj9trBL5DTYMxHxtJB467PxFIXirpX8fdjzSQ3AUu1bccPElFquVNRnS91vkikTwNwEVK9h16u6TtMtpuJenMUfexadCeWocPJJw/I+mAjDatYOV1E0AG2JDv0LjAmn1shkXg2T8L4Gy008L3ZgBvgGPZa5N8LYADJG0/gmu10heJQ/gOhVDQoRihPw/JMyRty5S6BVk6hSGuOUfSOgPHprB8Bl5vBSuvSwIPgGPwHWoCbMDHpgZEX6L4pCRY9NcGPCPp77RVxWKSbqX9ikaBVvoiaTjfoRMxen+evcLPKbbZI8R02rrkWQCgazcsntOmFay8bgKYisZ9hxpCYz42VdHWSZY9Q7IHaauKcwCcR/JvAP6a3boyWu2LpGq+Q0348+xPF4RvMi9zMoALSZ4IL1h2gV0KstAKVl43AUzFOHyHRg4162NTGSTfA+C16I97Hzy+HgEArgawboyNdGAQNc0CUKsFRAyt9kWqiCb8ef4I4Bskl4V3F6dJuqHma/RB0uEh5BQlnA+RdF5Om7mxp2MzhutyACngAuY7xAZ9bKqC5HEAXgDgrQC+B1Nvr5Y0VhO+pBhvw9dvnS9SFbBBfx66dOUHw2MG7Cx6uqQ7675WFbSFlddNAAXAEfsONQE26GNTFSRvkrRW7OdScOJ9rIpYkvfDIrBEaET+PGyxL1JVsCF/noFrrgPg+wDWkjR9BO+/ITyxrQknw6cDeKroYD5OVl4XAioAuWTd8eExqVgFwCYxH5tjEPOxgemN48bfw8+nSb4CTsKXLSIyCkwHsBQaDAUyxRcJ7UmIFwZjtX1D3H89hNq+JDNr+w5xzUUBvBPeAWwGm+qNKol+TLjOj2FyxY4ACtdhDtqEn9AGe90E0GEkaNLHpip+EeLeX4d95gXgu9lNGsGDY8hDtN0XqQwq1/Yti8Cn3x7Ae+DczekAdpP0VGbDISHpLpLTw2B+IsnMJHRbWHndBLDwoEkfm0qQdEj49UySvwAwQ9KoiniUwThIAG33RSqD6bFV/nYAvhMEYWcGQVSd+CKAUwHsO4qdRQqeJrkY/P06HMCDsI1HFlrByutyAAsRmvKxKYt4iCA83xEhRABgJCGCkv17UdN9mARfpKIgeQssdppHWyfvFimas7yFJgUh4fwwXO3s03DC/tsRjbzN6CaAhQht9bGhHSHfJjutbgxv26MQwZqSagsRTAomwRepKEjuD+DdAB6FSQfrBuXrqrAXUGod4QUVbWHldRPAQoKmfWzKgLFCGCSPBfCIpNnh+Q2S1h5n/8aBtvsilUVgykS1fZ8Kx1YHsNSkMpuGsZ1oCyuvmwAWEjTpY1MWC3qIoAra7ovUASC5rKQHQwhoCiT9OaNtY9XlstAlgRceNOljUxanAbiU5KMwFfRyAFH1qTYkgceBtvsiLfSQ9GD42TfQB17/B+EcVhpawcrrJoAFHGPysSkFSYcGdlIUIoi2pdPgXMBCh7b6InXogeRMAJ+EB/Oz4fKYe8BFo24AcEpG81aw8roQ0AKOJFvauI9N5GDYoX1oqS9ShwCSPwfwOIDfwWKzZWAl8F5F/IfawMrrdgALPqZw2CVdOI6OdCiONF+ksXaqwyBepVACk+T3EFhOA0ZvWZgL1xmZAWAFkis0zcrrJoAFHy8luU/ai6PysekwNN4c80X6MslvwEXHO7QH832MJD1H8p6ig38aKw8OBTWGbgJY8NG4j02HWtBWX6QOPbye5JPhdwJYIjwnXBQ+ywzu07D9w+8k/UvEyhttd6eimwAWfIzDx6bD8GirL1KHgCGdRVvByusmgAUf3cp/AtFiX6QOQ6BtrLyOBbSAYxw+Nh2qo+2+SB2GQ9tYed0E0KFDi9D5Ii3YGHd1uUF0IaAOHdqFJq2TOzSPVrHyugmgQ4d2YXosTrwZgN1ir3Xf18lHq1h53Q3VoUO70PkiLdhoFSuvywF06NAyLIjWyR2MtuUAugmgQ4cOHRpC21h53QTQoUOHDgsppo27Ax06dOjQYTzoJoAOHTp0WEjRTQAdOnTosJCimwA6dOjQYSFFNwF06NChw0KK/w9q1I7NFcJFKQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.bairro.value_counts()[:25].plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove bairros com menos imóveis (pega so 25 +)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Setor De Clubes Esportivos Norte, Brasília                   64\n",
       "Quadras Economicas Lucio Costa, Guará                        63\n",
       "Octogonal, Brasília                                          57\n",
       "Nucleo Bandeirante, Núcleo Bandeirante                       55\n",
       "Águas Claras, Distrito Federal                               39\n",
       "QE Lucio Costa, Guará                                        38\n",
       "Grande Colorado, Sobradinho                                  38\n",
       "Setor Industrial, Gama                                       38\n",
       "Centro, Taguatinga                                           38\n",
       "Setor Central, Gama                                          37\n",
       "Setor Nova Suiça, Goiânia                                    36\n",
       "Setor Bela Vista, Goiânia                                    35\n",
       "Setor Pedro Ludovico, Goiânia                                32\n",
       "Ceilandia Sul, Ceilândia                                     32\n",
       "Samambaia, Samambaia                                         31\n",
       "Setor Leste Universitário, Goiânia                           31\n",
       "Alto da Glória, Goiânia                                      27\n",
       "Setor Central, Goiânia                                       27\n",
       "Turista I, Caldas Novas                                      27\n",
       "Parque Esplanada III, Valparaíso de Goiás                    25\n",
       "Riacho Fundo, Riacho Fundo                                   25\n",
       "Zona Industrial, Guará                                       24\n",
       "Setor de Hotéis e Turismo Norte, Brasília                    24\n",
       "Cruzeiro Velho, Cruzeiro                                     23\n",
       "Superquadra Noroeste, Brasília                               21\n",
       "Jardim Atlântico, Goiânia                                    20\n",
       "Residencial Eldorado, Goiânia                                20\n",
       "Parque Esplanada II, Valparaíso de Goiás                     20\n",
       "Area Especial, Guará                                         19\n",
       "Setor Aeroporto, Goiânia                                     19\n",
       "                                                             ..\n",
       "Varjao, Varjao                                                1\n",
       "Santos Dumont, Goiânia                                        1\n",
       "Mansões Aguas Quentes, Caldas Novas                           1\n",
       "Paranoa, Paranoá                                              1\n",
       "Alphavile Paiva, Novo Gama                                    1\n",
       "Setor de Chácaras Anhangüera B, Valparaíso de Goiás           1\n",
       "Estancia Mestre D Armas I, Planaltina                         1\n",
       "Jardim Luz, Aparecida de Goiânia                              1\n",
       "Chácara Bela Vista, Aparecida de Goiânia                      1\n",
       "Jardim Nova Era Acréscimo, Aparecida de Goiânia               1\n",
       "Vila Jardim São Judas Tadeu, Goiânia                          1\n",
       "Setor Central, Vila Estrutural                                1\n",
       "Cardoso Continuação, Aparecida de Goiânia                     1\n",
       "Mansões Pôr do Sol, Águas Lindas de Goiás                     1\n",
       "Jardim das Esmeraldas, Goiânia                                1\n",
       "Setor de Hotéis e Turismo Sul, Brasília                       1\n",
       "Loteamento Grande Vale, Novo Gama                             1\n",
       "Parque Napolis A, Cidade Ocidental                            1\n",
       "Cidade Satélite São Luiz, Aparecida de Goiânia                1\n",
       "Cidade Ocidental, Cidade Ocidental                            1\n",
       "Jardim Santo Antônio, Aparecida de Goiânia                    1\n",
       "Setor Habitacional Tororó, Santa Maria                        1\n",
       "Comércio Local Sudoeste, Brasília                             1\n",
       "Sao Francisco, São Sebastião                                  1\n",
       "Residencial Eldorado Expansão, Goiânia                        1\n",
       "Jardim Nova Era, Aparecida de Goiânia                         1\n",
       "Oeste, Goiânia                                                1\n",
       "Setor de Garagens e Concessionárias de Veículos, Brasília     1\n",
       "Condomínio Eldorado, Goiânia                                  1\n",
       "Setor de Grandes Áreas Norte, Brasília                        1\n",
       "Name: bairro, Length: 233, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.bairro.value_counts()[25:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Setor De Clubes Esportivos Norte, Brasília',\n",
       "       'Quadras Economicas Lucio Costa, Guará', 'Octogonal, Brasília',\n",
       "       'Nucleo Bandeirante, Núcleo Bandeirante',\n",
       "       'Águas Claras, Distrito Federal', 'QE Lucio Costa, Guará',\n",
       "       'Grande Colorado, Sobradinho', 'Setor Industrial, Gama',\n",
       "       'Centro, Taguatinga', 'Setor Central, Gama',\n",
       "       'Setor Nova Suiça, Goiânia', 'Setor Bela Vista, Goiânia',\n",
       "       'Setor Pedro Ludovico, Goiânia', 'Ceilandia Sul, Ceilândia',\n",
       "       'Samambaia, Samambaia', 'Setor Leste Universitário, Goiânia',\n",
       "       'Alto da Glória, Goiânia', 'Setor Central, Goiânia',\n",
       "       'Turista I, Caldas Novas',\n",
       "       'Parque Esplanada III, Valparaíso de Goiás',\n",
       "       'Riacho Fundo, Riacho Fundo', 'Zona Industrial, Guará',\n",
       "       'Setor de Hotéis e Turismo Norte, Brasília',\n",
       "       'Cruzeiro Velho, Cruzeiro', 'Superquadra Noroeste, Brasília',\n",
       "       'Jardim Atlântico, Goiânia', 'Residencial Eldorado, Goiânia',\n",
       "       'Parque Esplanada II, Valparaíso de Goiás', 'Area Especial, Guará',\n",
       "       'Setor Aeroporto, Goiânia', 'Setor Total Ville, Santa Maria',\n",
       "       'Vila Rosa, Goiânia', 'Setor Negrão de Lima, Goiânia',\n",
       "       'Sia, Setor Industrial', 'Park Lozandes, Goiânia',\n",
       "       'Setor Central, Caldas Novas', 'Superquadra Sudoeste, Brasília',\n",
       "       'Centro, Caldas Novas', 'Setor Habitacional Contagem, Sobradinho',\n",
       "       'Ceilandia Centro, Ceilândia',\n",
       "       'Parque das Cachoeiras, Valparaíso de Goiás',\n",
       "       'Área de Desenvolvimento Econômico, Águas Claras',\n",
       "       'SQB - Super Quadra Brasilia, Guará', 'Santa Maria, Santa Maria',\n",
       "       'Vila dos Alpes, Goiânia',\n",
       "       'Residencial Santos Dumont, Santa Maria',\n",
       "       'Setor Hoteleiro Norte, Brasília', 'Setor Leste, Gama',\n",
       "       'Serrinha, Goiânia', 'Setor Sudoeste, Goiânia',\n",
       "       'Recanto das Emas, Recanto das Emas', 'Centro, Guará',\n",
       "       'Setor Coimbra, Goiânia',\n",
       "       'Setor Habitacional Jardins Mangueiral, Brasília',\n",
       "       'Jardim Céu Azul, Valparaíso de Goiás',\n",
       "       'Cidade Jardins, Valparaíso de Goiás',\n",
       "       'Centro de Atividades, Brasília', 'Area Especial, Taguatinga',\n",
       "       'Condomínio Império dos Nobres, Sobradinho',\n",
       "       'Centro, Vicente Pires',\n",
       "       'Setor Habitacional Jardim Botânico, Brasília',\n",
       "       'Setor De Clubes Esportivos Sul, Brasília',\n",
       "       'Parque Esplanada I, Valparaíso de Goiás',\n",
       "       'Jardins Mangueiral, São Sebastião',\n",
       "       'Olegário Pinto, Caldas Novas', 'Bueno, Goiânia',\n",
       "       'Vila Maria José, Goiânia', 'Setor Industrial, Guará',\n",
       "       'Setor Meireles, Santa Maria', 'Gama, Gama',\n",
       "       'Setor Faiçalville, Goiânia',\n",
       "       'Setor Habitacional Vicente Pires, Taguatinga',\n",
       "       'Sítios Santa Luzia, Aparecida de Goiânia',\n",
       "       'Setor dos Afonsos, Aparecida de Goiânia',\n",
       "       'Jardim Belvedere, Caldas Novas',\n",
       "       'Condomínio Comercial e Residencial Sobradinho, Sobradinho',\n",
       "       'Vila Brasília, Aparecida de Goiânia',\n",
       "       'Caldas Novas, Caldas Novas',\n",
       "       'Parque Esplanada V, Valparaíso de Goiás',\n",
       "       'Centro, Cidade Ocidental', 'Superquadra Norte, Brasília',\n",
       "       'Setores Complementares, Brasília',\n",
       "       'Setor De Mansões De Sobradinho, Sobradinho',\n",
       "       'Centro, Valparaíso de Goiás', 'Parque Oeste Industrial, Goiânia',\n",
       "       'Ipiranga, Valparaíso de Goiás',\n",
       "       'Condomínio Vivendas Chácaras Ypiranga, Valparaíso de Goiás',\n",
       "       'Bandeirante, Caldas Novas',\n",
       "       'Setor de Habitações Individuais Norte, Brasília',\n",
       "       'Setor Sul, Goiânia', 'Centro, Samambaia', 'Esplanada, Rio Quente',\n",
       "       'Park Way, Brasília', 'Setor Habitacional Meireles, Santa Maria',\n",
       "       'Setor Leste Vila Nova, Goiânia', 'Centro, Goiânia',\n",
       "       'Setor De Industrias, Brasília', 'Jardim Jeriquara, Caldas Novas',\n",
       "       'Caminho do Lago, Caldas Novas',\n",
       "       'Setor Residencial Leste, Planaltina',\n",
       "       'Riacho Fundo II, Riacho Fundo', 'Granja Do Torto, Brasília',\n",
       "       'Superquadra Sul, Brasília',\n",
       "       'Colônia Agrícola Samambaia, Vicente Pires', 'Centro, Sobradinho',\n",
       "       'Vila São João, Goiânia', 'Setor Sul, Gama',\n",
       "       'Vila Planalto, Brasília', 'Centro, Ceilândia',\n",
       "       'Chácaras Alto da Glória, Goiânia',\n",
       "       'Setor Placa da Mercedes, Núcleo Bandeirante',\n",
       "       'Planaltina, Planaltina', 'Comércio Local Noroeste, Brasília',\n",
       "       'Novo, Cruzeiro', 'Parque São Bernardo, Valparaíso de Goiás',\n",
       "       'Setor Goiânia 2, Goiânia',\n",
       "       'Aguas Lindas de Goias, Águas Lindas de Goiás',\n",
       "       'Setor Hoteleiro Sul, Brasília',\n",
       "       'Zona Civico-administrativa, Brasília', 'Nova Colina, Sobradinho',\n",
       "       'Cidade Jardim, Goiânia',\n",
       "       'Setor de Chácaras Anhangüera C, Valparaíso de Goiás',\n",
       "       'Centro, Uruaçu', 'Santa Rita, Planaltina de Goiás',\n",
       "       'Condomínio Residencial Parque Oeste, Goiânia',\n",
       "       'Jundiaí, Anápolis', 'Jardim Ipanema, Valparaíso de Goiás',\n",
       "       'Centro Comercial Noroeste, Brasília', 'Nova Suica, Goiânia',\n",
       "       'Valparaiso I - Etapa A, Valparaíso de Goiás',\n",
       "       'Valparaiso I - Etapa E, Valparaíso de Goiás', 'Centro, Luziânia',\n",
       "       'Núcleo Habitacional Novo Gama, Novo Gama',\n",
       "       'Village Veneza, Goiânia', 'Itaici I, Caldas Novas',\n",
       "       'Nova Vila, Caldas Novas', 'Turista, Caldas Novas',\n",
       "       'Vila Jaraguá, Goiânia', 'Vila São Luiz, Goiânia',\n",
       "       'Setor Santos Dumont, Goiânia', 'Itaici II, Caldas Novas',\n",
       "       'Residencial Granville, Goiânia',\n",
       "       'Setor Residencial Oeste, São Sebastião',\n",
       "       'Setor Universitário, Rio Verde', 'Arniqueiras, Águas Claras',\n",
       "       'Parque Marajó, Valparaíso de Goiás',\n",
       "       'Setor Cândida de Morais, Goiânia', 'Setor Universitario, Goiânia',\n",
       "       'Setor de Múltiplas Atividades Sul, Brasília',\n",
       "       'Região Dos Lagos, Sobradinho', 'Quadra Mista Noroeste, Brasília',\n",
       "       'Setor Sudoeste, Cruzeiro',\n",
       "       'Setor de Chácaras Anhangüera A, Valparaíso de Goiás',\n",
       "       'Quadra Mista Sudoeste, Brasília', 'Morro Azul, São Sebastião',\n",
       "       'Bela Vista, Goiânia', 'Jardim Flamboyant, Luziânia',\n",
       "       'Jardim Bela Vista, Aparecida de Goiânia',\n",
       "       'Setor Terminal Norte, Brasília', 'Setor Terminal Sul, Brasília',\n",
       "       'Centro Comercial Sudoeste, Brasília',\n",
       "       'Valparaiso I - Etapa B, Valparaíso de Goiás',\n",
       "       'Jardim do Ingá, Luziânia', 'Vila Lucy, Goiânia',\n",
       "       'Condomínio barra do Pirapitinga, Caldas Novas',\n",
       "       'Centro, Riacho Fundo', 'Setor Oeste, Planaltina de Goiás',\n",
       "       'Turista II, Caldas Novas',\n",
       "       'Residencial Vereda dos Buritis, Goiânia',\n",
       "       'Setor Criméia Leste, Goiânia',\n",
       "       'Parque das Nações, Aparecida de Goiânia', 'Centro, Planaltina',\n",
       "       'Formosinha, Formosa', 'Maracanã, Anápolis',\n",
       "       'Pacaembu, Valparaíso de Goiás',\n",
       "       'Parque das Flores, Valparaíso de Goiás', 'Centro, Gama',\n",
       "       'Centro, Recanto das Emas', 'Parque Estrela Dalva IX, Luziânia',\n",
       "       'Condomínio Mansões Sobradinho, Sobradinho',\n",
       "       'Serra Azul, Sobradinho', 'Vale Do Amanhecer, Planaltina',\n",
       "       'Feliz, Goiânia', 'Vila Monticelli, Goiânia',\n",
       "       'Setor Comercial Local Residencial Norte, Brasília',\n",
       "       'Parque Flamboyant, Goiânia', 'Centro, Aparecida de Goiânia',\n",
       "       'Setor De Industria Graficas, Brasília', 'São Francisco, Goiânia',\n",
       "       'Setor Norte, Brazlandia', 'Centro, Núcleo Bandeirante',\n",
       "       'Setor De Desenvolvimento Economico, Taguatinga',\n",
       "       'Setor de Armazenagem e Abastecimento Norte, Brasília',\n",
       "       'Vila Estrutural, Guará', 'Brazlandia, Brazlandia',\n",
       "       'Mansões do Lago, Brasília', 'Centro, Paranoá',\n",
       "       'Caldas do Oeste, Caldas Novas', 'Centro, Anápolis',\n",
       "       'Vila Americano do Brasil, Goiânia',\n",
       "       'Jardim Esmeraldas, Aparecida de Goiânia', 'Zona Rural, Uruaçu',\n",
       "       'Jardim Europa, Goiânia', 'Varjao, Varjao',\n",
       "       'Santos Dumont, Goiânia', 'Mansões Aguas Quentes, Caldas Novas',\n",
       "       'Paranoa, Paranoá', 'Alphavile Paiva, Novo Gama',\n",
       "       'Setor de Chácaras Anhangüera B, Valparaíso de Goiás',\n",
       "       'Estancia Mestre D Armas I, Planaltina',\n",
       "       'Jardim Luz, Aparecida de Goiânia',\n",
       "       'Chácara Bela Vista, Aparecida de Goiânia',\n",
       "       'Jardim Nova Era Acréscimo, Aparecida de Goiânia',\n",
       "       'Vila Jardim São Judas Tadeu, Goiânia',\n",
       "       'Setor Central, Vila Estrutural',\n",
       "       'Cardoso Continuação, Aparecida de Goiânia',\n",
       "       'Mansões Pôr do Sol, Águas Lindas de Goiás',\n",
       "       'Jardim das Esmeraldas, Goiânia',\n",
       "       'Setor de Hotéis e Turismo Sul, Brasília',\n",
       "       'Loteamento Grande Vale, Novo Gama',\n",
       "       'Parque Napolis A, Cidade Ocidental',\n",
       "       'Cidade Satélite São Luiz, Aparecida de Goiânia',\n",
       "       'Cidade Ocidental, Cidade Ocidental',\n",
       "       'Jardim Santo Antônio, Aparecida de Goiânia',\n",
       "       'Setor Habitacional Tororó, Santa Maria',\n",
       "       'Comércio Local Sudoeste, Brasília',\n",
       "       'Sao Francisco, São Sebastião',\n",
       "       'Residencial Eldorado Expansão, Goiânia',\n",
       "       'Jardim Nova Era, Aparecida de Goiânia', 'Oeste, Goiânia',\n",
       "       'Setor de Garagens e Concessionárias de Veículos, Brasília',\n",
       "       'Condomínio Eldorado, Goiânia',\n",
       "       'Setor de Grandes Áreas Norte, Brasília'], dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bairros_reject = df.bairro.value_counts()[25:].index.values\n",
    "bairros_reject"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(22111, 17)\n"
     ]
    },
    {
     "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>nome</th>\n",
       "      <th>valor_venda</th>\n",
       "      <th>url</th>\n",
       "      <th>condominio</th>\n",
       "      <th>IPTU</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>area_total</th>\n",
       "      <th>area_util</th>\n",
       "      <th>banheiros</th>\n",
       "      <th>vagas</th>\n",
       "      <th>quartos</th>\n",
       "      <th>suites</th>\n",
       "      <th>idade</th>\n",
       "      <th>endereco</th>\n",
       "      <th>bairro</th>\n",
       "      <th>idade_anuncio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Tower duplex  90m2</td>\n",
       "      <td>550000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/tower...</td>\n",
       "      <td>R$ 730</td>\n",
       "      <td>R$ 690</td>\n",
       "      <td>-15.842635250484830</td>\n",
       "      <td>-48.024645807548495</td>\n",
       "      <td>89m²</td>\n",
       "      <td>89</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6</td>\n",
       "      <td>Qd 206,  Aguas Sul, Águas Claras</td>\n",
       "      <td>Aguas Sul, Águas Claras</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SELECTION 36</td>\n",
       "      <td>2150000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/selec...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.742129999999999</td>\n",
       "      <td>-47.910919999999997</td>\n",
       "      <td>224m²</td>\n",
       "      <td>224</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>Quadra SQNW 110,  Noroeste, Brasília</td>\n",
       "      <td>Noroeste, Brasília</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Elevador + Apartamento de 3 Quartos + Excelent...</td>\n",
       "      <td>420000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/eleva...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.739203900000000</td>\n",
       "      <td>-47.902473900000020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SCRN 706/707 BLOCO F - COMPLETO ARMÁRIOS- EXCE...</td>\n",
       "      <td>Asa Norte, Brasília</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Elegance Park Sul de 03 Suítes</td>\n",
       "      <td>1333800</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/elega...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.827143900000000</td>\n",
       "      <td>-47.952883600000010</td>\n",
       "      <td>117m²</td>\n",
       "      <td>117</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Sgcv 23,  Park Sul, Brasília</td>\n",
       "      <td>Park Sul, Brasília</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>QI 31 Jardins Life Reformadíssimo Localização ...</td>\n",
       "      <td>580000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/qi-31...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.840017800000000</td>\n",
       "      <td>-47.975002600000038</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>QUADRA QI 31 LOTES 2/4,  Guara II, Guará</td>\n",
       "      <td>Guara II, Guará</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                nome  valor_venda  \\\n",
       "0                                 Tower duplex  90m2       550000   \n",
       "1                                       SELECTION 36      2150000   \n",
       "2  Elevador + Apartamento de 3 Quartos + Excelent...       420000   \n",
       "4                     Elegance Park Sul de 03 Suítes      1333800   \n",
       "5  QI 31 Jardins Life Reformadíssimo Localização ...       580000   \n",
       "\n",
       "                                                 url condominio    IPTU  \\\n",
       "0  https://www.wimoveis.com.br/propriedades/tower...     R$ 730  R$ 690   \n",
       "1  https://www.wimoveis.com.br/propriedades/selec...        NaN     NaN   \n",
       "2  https://www.wimoveis.com.br/propriedades/eleva...        NaN     NaN   \n",
       "4  https://www.wimoveis.com.br/propriedades/elega...        NaN     NaN   \n",
       "5  https://www.wimoveis.com.br/propriedades/qi-31...        NaN     NaN   \n",
       "\n",
       "                   lat                 long area_total  area_util  banheiros  \\\n",
       "0  -15.842635250484830  -48.024645807548495       89m²         89        3.0   \n",
       "1  -15.742129999999999  -47.910919999999997      224m²        224        6.0   \n",
       "2  -15.739203900000000  -47.902473900000020        NaN         65        2.0   \n",
       "4  -15.827143900000000  -47.952883600000010      117m²        117        5.0   \n",
       "5  -15.840017800000000  -47.975002600000038        NaN         68        2.0   \n",
       "\n",
       "   vagas  quartos  suites idade  \\\n",
       "0    2.0      2.0     2.0     6   \n",
       "1    3.0      4.0     4.0     4   \n",
       "2    0.0      3.0     0.0   NaN   \n",
       "4    2.0      3.0     3.0     1   \n",
       "5    1.0      2.0     1.0     3   \n",
       "\n",
       "                                            endereco                   bairro  \\\n",
       "0                   Qd 206,  Aguas Sul, Águas Claras  Aguas Sul, Águas Claras   \n",
       "1               Quadra SQNW 110,  Noroeste, Brasília       Noroeste, Brasília   \n",
       "2  SCRN 706/707 BLOCO F - COMPLETO ARMÁRIOS- EXCE...      Asa Norte, Brasília   \n",
       "4                       Sgcv 23,  Park Sul, Brasília       Park Sul, Brasília   \n",
       "5           QUADRA QI 31 LOTES 2/4,  Guara II, Guará          Guara II, Guará   \n",
       "\n",
       "  idade_anuncio  \n",
       "0            52  \n",
       "1             6  \n",
       "2             9  \n",
       "4             8  \n",
       "5             6  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[~df['bairro'].isin(bairros_reject)]\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aguas Sul, Águas Claras          3485\n",
       "Noroeste, Brasília               3409\n",
       "Aguas Norte, Águas Claras        3020\n",
       "Asa Norte, Brasília              2955\n",
       "Asa Sul, Brasília                2239\n",
       "Sudoeste, Brasília               1360\n",
       "Taguatinga Norte, Taguatinga      815\n",
       "Park Sul, Brasília                690\n",
       "Guara II, Guará                   605\n",
       "Samambaia Sul, Samambaia          500\n",
       "Areal, Águas Claras               465\n",
       "Lago Norte, Brasília              443\n",
       "Taguatinga Sul, Taguatinga        422\n",
       "Guara I, Guará                    261\n",
       "Samambaia Norte, Samambaia        252\n",
       "Cruzeiro Novo, Cruzeiro           212\n",
       "Centro, Brasília                  187\n",
       "Ceilandia Norte, Ceilândia        167\n",
       "Setor Industrial, Taguatinga      116\n",
       "Sobradinho, Sobradinho            108\n",
       "Vicente Pires, Vicente Pires       96\n",
       "Lago Sul, Brasília                 79\n",
       "Riacho Fundo I, Riacho Fundo       78\n",
       "Taguatinga Centro, Taguatinga      76\n",
       "Centro, Águas Claras               71\n",
       "Name: bairro, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.bairro.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pega somente aps em Samambaia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df = df[df['bairro'].isin([\"Samambaia Sul, Samambaia\",\"Samambaia Norte, Samambaia\",\"Samambaia, Samambaia\"])]\n",
    "#print(df.shape)\n",
    "#df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.quartos = df.quartos.fillna(df.quartos.median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(22111, 5)\n"
     ]
    },
    {
     "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>area_util</th>\n",
       "      <th>quartos</th>\n",
       "      <th>valor_venda</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>89</td>\n",
       "      <td>2.0</td>\n",
       "      <td>550000</td>\n",
       "      <td>-15.842635250484830</td>\n",
       "      <td>-48.024645807548495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>224</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2150000</td>\n",
       "      <td>-15.742129999999999</td>\n",
       "      <td>-47.910919999999997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>65</td>\n",
       "      <td>3.0</td>\n",
       "      <td>420000</td>\n",
       "      <td>-15.739203900000000</td>\n",
       "      <td>-47.902473900000020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>117</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1333800</td>\n",
       "      <td>-15.827143900000000</td>\n",
       "      <td>-47.952883600000010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>68</td>\n",
       "      <td>2.0</td>\n",
       "      <td>580000</td>\n",
       "      <td>-15.840017800000000</td>\n",
       "      <td>-47.975002600000038</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   area_util  quartos  valor_venda                  lat                 long\n",
       "0         89      2.0       550000  -15.842635250484830  -48.024645807548495\n",
       "1        224      4.0      2150000  -15.742129999999999  -47.910919999999997\n",
       "2         65      3.0       420000  -15.739203900000000  -47.902473900000020\n",
       "4        117      3.0      1333800  -15.827143900000000  -47.952883600000010\n",
       "5         68      2.0       580000  -15.840017800000000  -47.975002600000038"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#df_regression = df[['bairro', 'area_util', 'quartos','valor_venda','lat','long',]]\n",
    "#df_regression = df[['area_util', 'quartos','valor_venda','lat','long','idade_anuncio']]\n",
    "df_regression = df[['area_util', 'quartos','valor_venda','lat','long']]\n",
    "print(df_regression.shape)\n",
    "df_regression.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "area_util      0\n",
       "quartos        0\n",
       "valor_venda    0\n",
       "lat            0\n",
       "long           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_regression.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#one_hot = pd.get_dummies(df_regression['bairro'], prefix=\"bairro\")\n",
    "#df_regression = df_regression.join(one_hot)\n",
    "\n",
    "#df_regression = df_regression.drop(['bairro'], axis=1)\n",
    "\n",
    "#df_regression.shape\n",
    "#df_regression.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "area_util        int64\n",
       "quartos        float64\n",
       "valor_venda      int64\n",
       "lat            float64\n",
       "long           float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_regression = df_regression.apply(pd.to_numeric)\n",
    "#, errors='coerce'\n",
    "df_regression.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reduz casas decimais do lat long para 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_regression.lat = df_regression.lat.round(3)\n",
    "df_regression.long = df_regression.long.round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#zscore\n",
    "#mean = df_regression.mean(axis=0)\n",
    "#std = df_regression.std(axis=0)\n",
    "\n",
    "# zscore normalization\n",
    "#df_regression = ( df_regression - mean ) / std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((22111, 4), (22111,))"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = df_regression.drop(['valor_venda'],axis=1)\n",
    "y = df_regression['valor_venda']\n",
    "X.shape, y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "#X_columns = X.columns.values\n",
    "#X = pd.DataFrame(StandardScaler().fit_transform(X),columns=X_columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((19899, 4), (2212, 4), (19899,), (2212,))"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1, random_state=42)\n",
    "X_train.shape, X_test.shape, y_train.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "           min_samples_leaf=1, min_samples_split=2,\n",
       "           min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=None,\n",
       "           oob_score=False, random_state=None, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg = RandomForestRegressor(n_estimators=100) \n",
    "reg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "reg.fit(X_train, y_train)\n",
    "train_predict = reg.predict(X_train)\n",
    "test_predict = reg.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean squared error: 32346087737.16\n",
      "Root Mean squared error: 179850.18\n",
      "R2 score: 0.92\n"
     ]
    }
   ],
   "source": [
    "print(\"Mean squared error: %.2f\"\n",
    "      % mean_squared_error(y_test, test_predict))\n",
    "\n",
    "rmse = math.sqrt(mean_squared_error(y_test, test_predict))\n",
    "print(\"Root Mean squared error: %.2f\" % rmse)\n",
    "\n",
    "print('R2 score: %.2f' % r2_score(y_test, test_predict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature ranking:\n",
      "1. feature area_util (0.758167)\n",
      "2. feature long (0.121548)\n",
      "3. feature lat (0.112807)\n",
      "4. feature quartos (0.007478)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    " plt.rcParams['figure.figsize'] = [10, 5]\n",
    "importances = reg.feature_importances_\n",
    "std = np.std([tree.feature_importances_ for tree in reg.estimators_],\n",
    "             axis=0)\n",
    "indices = np.argsort(importances)[::-1]\n",
    "\n",
    "#Print the feature ranking\n",
    "print(\"Feature ranking:\")\n",
    "\n",
    "for f in range(X_train.shape[1]):\n",
    "\n",
    "    print(\"%d. feature %s (%f)\" % (f + 1, X_train.columns[indices[f]], importances[indices[f]]))\n",
    "\n",
    "# Plot the feature importances of the forest\n",
    "plt.figure()\n",
    "plt.title(\"Feature importances\")\n",
    "plt.bar(range(X_train.shape[1]), importances[indices],\n",
    "       color=\"r\", yerr=std[indices], align=\"center\")\n",
    "plt.xticks(range(X_train.shape[1]), X_train.columns[indices],rotation=90)\n",
    "plt.xlim([-1, X_train.shape[1]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "#reg2 = RandomForestRegressor(n_estimators=100) \n",
    "\n",
    "#visualizer = ResidualsPlot(reg2)\n",
    "#visualizer.fit(X_train, y_train)  # Fit the training data to the model\n",
    "#visualizer.score(X_test, y_test)  # Evaluate the model on the test data\n",
    "#visualizer.poof()                 # Draw/show/poof the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TODO: scatterplot valor_venda x area util"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "ax1 = df.plot.scatter(x='area_util',\n",
    "                       y='valor_venda',\n",
    "                       c='DarkBlue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_zoom = df.loc[df.area_util < 2001]\n",
    "ax2 = df_zoom.plot.scatter(x='area_util',\n",
    "                       y='valor_venda',\n",
    "                       c='DarkBlue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_zoom = df.loc[df.area_util < 751]\n",
    "ax2 = df_zoom.plot.scatter(x='area_util',\n",
    "                       y='valor_venda',\n",
    "                       c='DarkBlue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_zoom = df.loc[df.area_util < 301]\n",
    "ax2 = df_zoom.plot.scatter(x='area_util',\n",
    "                       y='valor_venda',\n",
    "                       c='DarkBlue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(21890, 17)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_zoom = df.loc[(df.area_util < 300) & (df.valor_venda < 4000000)]\n",
    "print(df_zoom.shape)\n",
    "ax2 = df_zoom.plot.scatter(x='area_util',\n",
    "                       y='valor_venda',\n",
    "                       c='DarkBlue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(13693, 17)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_zoom = df.loc[(df.area_util < 100) & (df.valor_venda < 1000000)]\n",
    "print(df_zoom.shape)\n",
    "ax2 = df_zoom.plot.scatter(x='area_util',\n",
    "                       y='valor_venda',\n",
    "                       c='DarkBlue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  612715.31\n"
     ]
    }
   ],
   "source": [
    "\n",
    "lat = -15.752353\n",
    "long = -47.8830672\n",
    "area = 87\n",
    "quartos = 3.0\n",
    "\n",
    "apto_411_n = [[area,quartos,lat,long]]\n",
    "\n",
    "previsao = reg.predict(apto_411_n)[0]\n",
    "\n",
    "correcao = previsao * 0.21\n",
    "print(\"previsao de preço: \", previsao -  correcao)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  639844.7\n"
     ]
    }
   ],
   "source": [
    "\n",
    "lat = -15.738213539123535\n",
    "long = -47.897647857666015\n",
    "area = 89\n",
    "quartos = 3.0\n",
    "\n",
    "apto_316_n = [[area,quartos,lat,long]]\n",
    "\n",
    "previsao = reg.predict(apto_316_n)[0]\n",
    "\n",
    "correcao = previsao * 0.21\n",
    "print(\"previsao de preço: \", previsao -  correcao)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  247617.33666666664\n"
     ]
    }
   ],
   "source": [
    "\n",
    "lat = -15.8567516\n",
    "long = -48.0688715\n",
    "\n",
    "area = 70\n",
    "quartos = 3.0\n",
    "\n",
    "apto_samambaia = [[area,quartos,lat,long]]\n",
    "\n",
    "previsao = reg.predict(apto_samambaia)[0]\n",
    "\n",
    "correcao = previsao * 0.21\n",
    "print(\"previsao de preço: \", previsao -  correcao)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  304591.5028571428\n"
     ]
    }
   ],
   "source": [
    "\n",
    "lat = -15.8284829\n",
    "long = -48.0295519\n",
    "\n",
    "area = 58\n",
    "quartos = 2.0\n",
    "\n",
    "apto_aguas = [[area,quartos,lat,long]]\n",
    "\n",
    "previsao = reg.predict(apto_aguas)[0]\n",
    "\n",
    "correcao = previsao * 0.21\n",
    "correcao = 0\n",
    "print(\"previsao de preço: \", previsao -  correcao)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## AP ami"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  175922.89666666667\n"
     ]
    }
   ],
   "source": [
    "\n",
    "lat = -15.8370797\n",
    "long = -48.0328069\n",
    "\n",
    "area = 32\n",
    "quartos = 1.0\n",
    "\n",
    "apto_aguas = [[area,quartos,lat,long]]\n",
    "\n",
    "previsao = reg.predict(apto_aguas)[0]\n",
    "\n",
    "correcao = previsao * 0.21\n",
    "correcao = 0\n",
    "print(\"previsao de preço: \", previsao -  correcao)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Persist model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "pickle.dump(reg, open('models/random-forest-regressor-apartamentos-01-2020.pickle', 'wb'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load & test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  175922.89666666667\n"
     ]
    }
   ],
   "source": [
    "loaded_model = pickle.load(open('models/random-forest-regressor-apartamentos-01-2020.pickle', 'rb'))\n",
    "\n",
    "lat = -15.8370797\n",
    "long = -48.0328069\n",
    "\n",
    "area = 32\n",
    "quartos = 1.0\n",
    "\n",
    "apto_aguas = [[area,quartos,lat,long]]\n",
    "\n",
    "previsao = loaded_model.predict(apto_aguas)[0]\n",
    "\n",
    "correcao = previsao * 0.21\n",
    "correcao = 0\n",
    "print(\"previsao de preço: \", previsao -  correcao)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'175.922,90'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stringg = \"175,922.90\"\n",
    "end = stringg[-3:].replace(\".\",\",\")\n",
    "start = stringg[:-3].replace(\",\",\".\")\n",
    "start+end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "valor = 175922.9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'R$ 175.922,90'"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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