regressao casas-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": [
      "(18600, 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",
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       "    }\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>SHIS QI 28 PROJETO AGRADÁVEL - Whatsapp - José...</td>\n",
       "      <td>2300000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/shis-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.813517400000000</td>\n",
       "      <td>-47.811048499999970</td>\n",
       "      <td>776m²</td>\n",
       "      <td>400m²</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SHIS QI 28,  Lago Sul, Brasília</td>\n",
       "      <td>,  Lago Sul, Brasília</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LAGO SUL - 4Qts* 2 Sts - PROJETO ARQUITETÔNICO...</td>\n",
       "      <td>2490000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/lago-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.863871300000000</td>\n",
       "      <td>-47.875655400000030</td>\n",
       "      <td>1500m²</td>\n",
       "      <td>800m²</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8</td>\n",
       "      <td>SHIS QI 17,  Lago Sul, Brasília</td>\n",
       "      <td>,  Lago Sul, Brasília</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>VENDO LINDA CASA ACEITO APTO NOROESTE</td>\n",
       "      <td>2250000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/vendo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.749581800000000</td>\n",
       "      <td>-47.909860200000026</td>\n",
       "      <td>426m²</td>\n",
       "      <td>426m²</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15</td>\n",
       "      <td>SQNW 108,  Noroeste, Brasília</td>\n",
       "      <td>,  Noroeste, Brasília</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CASA - VICENTE PIRES</td>\n",
       "      <td>850000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/casa-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.660260199999999</td>\n",
       "      <td>-48.196478499999997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>,  Vicente Pires, Vicente Pires</td>\n",
       "      <td>,  Vicente Pires, Vicente Pires</td>\n",
       "      <td>\\n Publicado hoje\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>QE 15 Laje, sótão, oportunidade!!!</td>\n",
       "      <td>540000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/qe-15...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.829574477730766</td>\n",
       "      <td>-47.977716817860426</td>\n",
       "      <td>140m²</td>\n",
       "      <td>120m²</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17</td>\n",
       "      <td>Qe 15,  Guara II, Guará</td>\n",
       "      <td>,  Guara II, Guará</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                nome  valor_venda  \\\n",
       "0  SHIS QI 28 PROJETO AGRADÁVEL - Whatsapp - José...      2300000   \n",
       "1  LAGO SUL - 4Qts* 2 Sts - PROJETO ARQUITETÔNICO...      2490000   \n",
       "2             VENDO LINDA CASA ACEITO APTO NOROESTE       2250000   \n",
       "3                               CASA - VICENTE PIRES       850000   \n",
       "4                QE 15 Laje, sótão, oportunidade!!!        540000   \n",
       "\n",
       "                                                 url condominio IPTU  \\\n",
       "0  https://www.wimoveis.com.br/propriedades/shis-...        NaN  NaN   \n",
       "1  https://www.wimoveis.com.br/propriedades/lago-...        NaN  NaN   \n",
       "2  https://www.wimoveis.com.br/propriedades/vendo...        NaN  NaN   \n",
       "3  https://www.wimoveis.com.br/propriedades/casa-...        NaN  NaN   \n",
       "4  https://www.wimoveis.com.br/propriedades/qe-15...        NaN  NaN   \n",
       "\n",
       "                   lat                 long area_total area_util  banheiros  \\\n",
       "0  -15.813517400000000  -47.811048499999970      776m²     400m²        6.0   \n",
       "1  -15.863871300000000  -47.875655400000030     1500m²     800m²        5.0   \n",
       "2  -15.749581800000000  -47.909860200000026      426m²     426m²        7.0   \n",
       "3  -15.660260199999999  -48.196478499999997        NaN       NaN        NaN   \n",
       "4  -15.829574477730766  -47.977716817860426      140m²     120m²        2.0   \n",
       "\n",
       "   vagas  quartos  suites idade                         endereco  \\\n",
       "0    NaN      4.0     3.0   NaN  SHIS QI 28,  Lago Sul, Brasília   \n",
       "1    4.0      4.0     2.0     8  SHIS QI 17,  Lago Sul, Brasília   \n",
       "2    0.0      4.0     4.0    15    SQNW 108,  Noroeste, Brasília   \n",
       "3    NaN      4.0     2.0   NaN  ,  Vicente Pires, Vicente Pires   \n",
       "4    2.0      3.0     1.0    17          Qe 15,  Guara II, Guará   \n",
       "\n",
       "                            bairro        idade_anuncio  \n",
       "0            ,  Lago Sul, Brasília                  143  \n",
       "1            ,  Lago Sul, Brasília                   12  \n",
       "2            ,  Noroeste, Brasília                   82  \n",
       "3  ,  Vicente Pires, Vicente Pires  \\n Publicado hoje\\n  \n",
       "4               ,  Guara II, Guará                   10  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"data/08.2019/casas_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": [
       "(13770, 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 0x7f38f9fc5160>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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f8Sa5bX3Hm+S2TXy8iRiQjoiIyTIp3UoRETFBkhwiIqIhySEiIhqSHCIiomEiqpX6JEnAi4EH2z5K0oOAB9i+aJ6bNickPRp4Qn34ddvfaRHjuVMOmTLT8lLbt3Ro27/Y/j8zHbs7jfheV2H7M3dXW+aDpE2BbWxf1iHGHpTfjd9JegmwC/Bu2z+e77bVONsCO9j+qqR7Aet1/D2+J/DQ+vB7tm/v0r41xYKrVpJ0DPA/wJNtP7z+wn3F9mNbxtsdeC/wcOCelFLb39neaMw4f7u6522/s0XbDgNeBQze0J4DHGv7vWPGOWHE4c2ARwGH2D5r3LbVuN+2vcuUY5fZflTLeJ+jOXP+ZmAZ8EHbf5hFjFHf64Btv2LMNr13RJuGA75mnHhDcY8G3gr8Hvgy8Gjgtbb/q0Wsc4BnUy4GLwVWAF+zvdrfydXEu6y251HAR4HjgOfa/rMJaNurKEvsbGZ7e0k7AB+wvVfLeH8OnAj8iLKSwzbAwbbPbRlva8r7yZ6U96nzgMNsL5+EeMMW3J0DZU2mXSRdAmD7xpr523ofZVLep4AlwMuAh7SIc98ObZjOIZTv93dQrsqBb1J+WWbN9stHHa9XYCcDu40TT9Krgb8CHlzfSAbuC3xjnFhT/ABYBHyiPn4h8EvKVd1/Ai+dKcB032sHy3qON7C37b+X9BzKCgIHAGcDYycHYGPbv5H0SuAE20dO+bmM6w7blrQf5Y7hOEkHt4zVd9sOpSzkeSGA7WskbdEh3jsoP4vvAUh6KOX37zEt450AfJzy8wR4ST321AmJd5eFmBxur0uAG0DSIkpGbc32tZLWtX0ncIKk81vEeHNt12tsv6tLe4YIuHPo8Z2MXqeqFds/lnSPFi/9OPAl4J+B4b05brF9Q4cm7Wz7iUOPPyfpXNtPlDT2pElJzwAeAWwwOGb7qHFi2D5x3K87S4P/96cDn7B9Q+kxbWU9SVsCLwDe2EPbbpF0BCUZP6H+Xrf5PZmLtv3R9m2D/ytJ67GaO7tZuMcgMQDY/u+WfxMDi2wP371+WNJrJyjeXRZicngP8FlgC0lvA54P/EOHeLfWO49L663+dcC92wSyfaekZwN9JYcTgAslfbY+3p9yi98LSTsCfxz3dbZvpnT3HFTjbEF5A76PpPvY/knLJi2S9KDB6+t40ub1udvGCSTpA8CGwJOAD1F+T8Yel5L077ZfO02XF7afPW7M6nOSrqZ0K/1VvciZsdtsGkdRVh84z/a3JD0YuKZlLCh3bC8CXmH7F/Xn8K8d2/aNntr2NUlvAO4l6amUO9jPdYi3TNJxlO4zKOOZF3eI96s6TjO4+z0I+PUExbvLghtzAJD0MGAvylX0mbav6hBrW+B6ypXR64CNgffbvrZlvLfVGCcBvxsct/3tlvF2ofQ3CjjX9iUtYox6Y9sM2BJ4ie1vtmzbs4B3Ag+k/B9uC1xl+xEt4z0d+ADwfcr3ux3lj/8c4FW2/32MWJfZftTQx/sAn7G995hteoztiyWN7G+3/bVx4k2JvSnwm3pRsSGwke1ftI3XJ0n3BwbjeBfZvn4+2zMgaR1Kd+velN+R04EPueUbnaT1KV1Vd/2NUf7+x75oqvEeROmqfhzlb+58yhhBq8H8vuOtEnuBJodNKQNHd90ZtX3z7Zuks+ung/94UQZCnzxGjI1qP+1mo54ft+tmxBubKVcf17hsvtSKpO8ATwa+antnSU8CDrK9dIaXri7m+sDDKP9vV89mEHqaOBfa3k3SBcBzKd/vFbZ3aBnvMNvvnunYGPHuAbwaGHSjfY0ysDp2pYykDShvmFO70MYafB+K9wLKncI5lJ/DE4DX2z6lRayHAscA97f9SEmPAp5t+61t2tY3SfcG/lC7lAe7Vq5v+9YWsfruVp5TCy45SHoL8BeUq8vBNzfWm2+Nczmrr0JpW3Fz5Ohws+/rlvR528+U9MMpbRwkmgeP2aavjHvFPMu4y2wvqUliZ9v/I+ki27t2iPl4YDGrJv6PtIjzJsrA/V6ULWpNucJ8U8t2jarMusT2zi3jfYhytzoY03gpcKfrhlhjxvoUcDWlK+goStfIVbYPa9m27wBPHdwt1C6vr9p+dItYXwNeT6k227keu8L2I8eMM1d/rxcAT7H92/r4PpTqx8e3jHeO7T9v89opcf7e9tGaplqubZXcsIU45vACYPsuV7zVM+vHQ+vH4T7Hsa8ahvx26PMN6tcZq9vL9jPrx+06tGPY5jOf0spN9Y/pXOBjkq4H7mgbTNJHge0pJY+DgXgDYycH4OjaNfBpSZ+n/CzGvguRdBDlTXc7ScPLzN+Xbn2/j53yZntWfVNu4yG2D5C0n+0TJX2c0t3S1jpTupF+TfsJtRvavmjKYHub35G5+nvdYJAYAGz/tnbxtfUNSe+je7fy4D1jrqrlFmRyuALYhNLH3dqgz07SHrb3GHrqcEnfoFyBtYn7juHHkv6NDntXSNqK0pc/fCU9bg32JlrN5DC3nxi2H+UN93WUP9KNafn/Vi0BdmrbfzzFNymTt6hJ4o+Svj04NobzKUUKm1PKHgduAbqUZN4paXvb3weoA7V3zvCa6Qy6om6S9EjgF5S7r7a+LOl0Vi0p/lLLWL+StD0rqwufT/n/HMtc/b0Cv5O0y+DNW9JjKEUCbQ3uOIbbY0r366zZ/lz9OFfVcgsyOfwzcImkKxiqtOlQNXJvSXvaPg/u6tZoVa00jQ2BsbqBBlTmNbwQ+C6rXkmPmxw2plx5Tbdda6vk4Dr/ourjl/gK4AG0ePMYkPQAYCtKNcvOrPyeN6L8LMZS35R+TBkQ7NPrgbMl/YDSxm2BtnM0jq3jcG+iXIjcB/i/bRtm+/X1YmIwSHus7c/O8LLpHErZh+Bhkn4G/JByIdFW33+vrwU+JWmwM+WWlL+5sdXB8mNsn9yhPVNjngEcYPum+nhT4JO29+kcewGOOVwJfBC4nKH5DW2rRuqVwvGUN1CAmyglfG2ri4b7RtelTOo6yvb7WsT6HvCotpUTQ3Ea/eUd493C6P7fwZjIWLPLh+KeDfwppeS0VeJXmaz1F5S7kOFb8luAD7e9S5ryPd+TMl4w9kz6GmsdYHdKyeSOrBx87/Rz7ot6XBZF0na2f1gHftexfcvgWMu29fr3WmPeg1V/Dq2Xz1Cdl9P29SPiXWr7T6ccaz3WtUqcBZgcvuYW0/hnEXcjyv/XzR3jbDv08A7gl7Zb9cNL+hLlquG3M568+ji9/DLNtT7LRSU9z/anu7dq2vj7A7vafkPL13/Tdi93Ixq9dMvNwMW2L20Rr7dlUaaJdbHttjOQBzH6+nvdEPhbYFvbr1JZjmNH259vGe9NlG6pqWMOrSaHSroYeI5Xzv3ZFvhsHxd7CzE5vJNyVXkaq15dtr3SXx94Hs0KmS59572Q9GnKGjdnsur3OlalQi0ffDBlWZDLbXcZrJxT6qm+XtImlK6V4VLRo7q+mUz5GhfY3r3la99MGbP4TNcxljoAvYSVk8GeQdm3/WHAp2wfPcs4g2VRtgeG5/nclzKJ7SVjtOlhlNLaoyldaAMbUcpiW82FqbE7z3wfinUS5Q7uZbXU9l7AN6derY8Rb9Qd0dgVhkPx9qV0yw0ukJ4ILO3jb3ghJoezRxweu5R1KN6XqVdZDA0ITh1Yng+aZj2bcQepJL2f8sd0PqW083O239K9hf1Sv/X1n6aMYQyXij7a9mpXbV1NvOHXrUN5M/6ztlf/tZvq3pS7yz/QoUuuDh4/b0o55imUhRovtr3TLONsDGxKD8uiqKzLtD9l0b3hgoxbKH3mYy9RU+OOnPlu+5CW8Qbl2HfdXUv6Tpuy3bkiaXNKN6QoietXvcRdaMmhb21qrtc0dfD+0V45E/frXW/r54L6ra8f1VfbODZGvOH1be6grOL5n23vbPok6SrKz/e2+nh9ypLbDx+3S7GOh1zW19+EpMe55Qz8aeL1MvN9KN7ggukbLgt6bk9Z62qsuTqSnmz7rOmqAjtUBPZVsdiw4KqV6tXNkfTXXXC+pD+xfXkvDeyBpJNtv0DTTPxp0fd7m+sMUNu3Su1XeJtjfdbX/35KVcsedChR9AyrvUo6wvY/zxRH0sNsX62yLMqor9Ome/TjwAWSTq2PnwV8og4Cf3ecQC4TGb+joTWu2lCdxAW8SGWuyNSv03YS1+BneKukB1J+R7rMBzqSsmT6NpI+BuxBKWgY158BZ1H+76dqXRE4VLF4JSsLcNpULDZjL7Q7hznoLvgupS/+h5R+/cHtfasZl32QtKXt66YMbt/FY66rIulWVvYhi5V9yvP+vQ6T9K+UPQSG6+sva1kl82jK5LlBVcuNlHX6O200s5qvN6uKMEnH2l46B92jSyhvbKIswNd68pSksyjjPhex6qDqOFVjz7L9ub66Rofi9jbzvV4kbU2ZRDfotrmgr26bPvRVsTgy9gJMDn13F/TyBjyXamXG8C3luP2/I7/HoXiT9L0+j5Vvcue6ZX39UAnlRgAua1W1LqGcxdeb94owrVwdF4C2V/59Vo3Npdp9tkGXIoM+KqdGxOxzwLyXisVRFly3Ev13F/xY0p6UbQdPqP3c9+mprZ1I+kvKTMvfM7SOFGNOqpukN/+ZuJSf9lGC+mlgF9u/GTp2Cu03cZnJWFdhQyWUD6p3Eq1LKFWWiX8HK1fHfRBlraVWFUF9JoF6hzSqa3TctdCm7RmQ1KVP/wJJj7X9rZavn9qWXpaKH3IrZTuBThWLoyzE5PBq4MQ69gC1u6BtMJWF8pZQJsGcQJnc9F+Uq9f59nfAI7re5mqOJq31pc/2DZVQbjzlDWUjhq7k5sC44zgnUCrkBsstLKfsRtimvv4tlG6RVVbHbREHAPW0dW71d0Ofb0ApG28z72fQl78F5f9ssLXtkyjVbW2Tw5OA/yXpR5QutK5drY8fGjB/s6R3dGgblEqv1svvrM5CTA5XUWqnt6essXQzpWSubV/yc4CdgW8D2P65pLnY8rON79NtUTEAbE/K9zNSz+3bkbJUyCasOjh4C2U/7rnyqTHP3972CweDtbZ/36FQ4Hbbv5a0jqR1bJ9dBzLbGrV1bqulzm1P3TjnGyortY4b5+UAKoso7mT7uvp4S8rYQ1tP6/DaUXodMG87NjMbCzE5nEqZMv9t4Gc9xLvNtiUNFgbrc12lro6gVFNdSM+3lAuV7VOBU2cqoZxtddHQ+avdM8H2P43Z1NtUJlwNfu+2p8WufNVgddyv08PquNDP1rkAWnVPksH8kAd0aNriQWKoBnuMtzIH3cqfV5mAeTQrd5T7UNtgai7bD4BbTqobthCTw9a29+0x3smSPkhZufRVwCsom9lPgg9Sbp9XWUcqZjaL2voDKJO9ZuujlH78fRjaM6Fd64D+SiihlDVuAhxG2YC+6+q4vW2dS3mDNKW75nbK/JBWE9aqc7RyxVhT7nBGVX7Nyhx0K/8bpev7CZSVgb9O2eyorSVDn29A+b0duQnYuBZitdKxwHv7nJegshftXdsO2j6jr9hdSDrfLTcdidUbt7pocL5WTr66B+V3pVXpaY15P3oooaxvcC8AbgA+CZxi+5cd2tXb1rkqs96/XKvF3kRZMv0tLedzDGI+l/LmCx0q2mqsS6ndyl45Q7rVOlL1tSdTujD/qx46CNjE9gvatnHE1zjP9p5d4yzEO4c9gb+ot1ud5yVIeh1l/ZmJSAhTnC1pKWXNnOFupVaLeMUqxr1q6nvPBChXgjdS/k53qlU3Y09usv1m4M0qa2i9EPiapOW2n9KmUUPVbb8H3twmxpB/sH1y7bp5KqWq6hhgt7YBa2VSl0HeYX13K+/oVWf0n632mzihVSdLDrrlehmjW4jJoe8BpI2A0yX1ctXVsxfVj0cMHRu7lDVGGnfwt9c9EzQ3M1+vpyStX1Oqetq2rc9+7sF6Zc+g7JF9qqR/bNGm82zvOaKyrWvFXd/dypdI2t32BbXduwHf6BBveI23wbItvdyFLLhupbkydNX1PKD1VVesGSS9ocUgcp9fv7eZryqrqb6QsnfIKcBJtsdaNmNKvPsNPbyrn9v22MmwVhf9DHgKZY7J7ykL5U3Swnadu5W1cqmbwd4QP6mPtwW+6wlcvy3JYZZUdhDClG4CAAAI4ElEQVQ7gDLAdd8Odc69qf3ar2blOlLnUDZqb70ZydpipuqiFvHuD/wT8EDbT5O0E/A428e1jNfbzFdJb6esdDr23g1jfI1W/dx1st++lKXir6mlp39i+yu9N3IeaY5WIdAcbimQ5DCDvq+6+iTpQ5QrkeF1pO60/cr5a9WaQdKnKNVFL2Kousj2YS3jfYlSzfJG24+WtB5wie0/GTPOeylXlFvRw14dc2Gafu5XT9LVflermXgJwHxPDB3QHG4psBDHHPq2LfDa6a66JG1q+8a7uU0Dj53yB3lWl8GttcxDbB8gaT/bJ6psiNNlg5TN68DqEQC275B050wvGmGwIN7FzNHM1x68g5VvnIN+7gPmrTVzYDDxUtJRlHGaj1K6lV5MTwO+Pem7dP8uSQ4zsH34DKecSSm/mw93Stre9vcBJD2YoauHWK2+q4t+V/viB1Utu1Ou6MYylzNee/R5Vs5NoH7+zMEEbtvvnKd2zYV9bA9XTh1TJ53Oave8u8GcbSmQ5NDdfO598HpKKdwPaju2BVa7r0DcpdfqIsoieacB20v6BqUb8vltg6ksGPmPrNzEZVB1MwmVaI+hLNl9KqVdz6JUUf10Phs1R+6U9GJKpaIp8xIm6QKs19L9YRlz6EizXKd/Dr/++pTqBwFX91HdEuNR2R1td8rqmoOfxfe6FAZIupoywWxqX/Kvu7W2O0lfoWw7ekt9fF/KXKA56d6YT5IWA++mzIg2pez0tbZ/NH+tWmm6ge62A9zDcuewBtL0yxNvr27LE681+qwuctkd7R0u+0Vf2VMTb7b9pZ5i9e1BwG1Dj2+j+4S/iVSTwH7z3Y7pDJKApuzV0Yckh+7mo1tp6vLEZ9Z2dF2eeG3yYWp1UX3838BJQKvSU+ArKhsRfcb93I6frbLz3WdYtVqp9bISPfoocJGkz1Kupp/Dyoq5BaUutPcqmqWirUqe+6bmXh3bUtb0arVXxyqx0600Pc1iM3VJm83XchV1AtGrPGV5YrfcEnVtIulbth87vIaSuu0YeAtl8bk7gD/QcWauet4mtG+1nHV4/aJL5rM9c0Vltdmv0+ze62PDqc5qdeKTmbJXh+2lXWPnzmE1PIvN1Od5HaNelydey/RSXTRg+74qy0/vQA+397af1DXGXKp3MJNwFzPXNnSLPcrvRn3v1XGXJIeZbQlcKan1ZupzqNflidcyfVcXvZKyJPbWwKWUAerzKRvdt43Z217D0drnJT3d9hfnuyHTGOzVcS497dUxkG6lGWjCN1NXj8sTry3mqLrockp55wW2/1RlO9I3235hy3gj9xq23WWvgxhT7S7ckDLofjsTsnXuQF0l9veUmeovpiyf/rE+qtqSHGahVrY8tj68yPb189me6E7SN2t1UV/xBmMYlwK72f5jxzGMwb4Qg4/3oQx2791Xm2Nm9ULixcB2to+S9CBgS9sXznPTZqXL7/k6fTdmoVHZjOQiyvIALwAulNS6+6FPkp4r6RpJN0v6jaRbJP1mvtu1hviKpOdJrfdlnmq5yvaP/w84Q9KpwM87xJu61/DtdNhrOFr7D8pd5kH18S2UPbTXFK3HvzLmMLM3UtYwuh7uKm37KmURvvl2NPAs2122o1xb/S21ukhS5+oi28+pn/5jrTTamLLNZ1u97jUcre1mexdJlwDYvlFli9Q1ReuuoSSHma0zpRvp10zOHdcvkxja6bu6aErsPsaj+t5rONq5XdK6rKxqW8Rasl97ksPMvjxUEQRl+e5JqVxYJukkSlfG8ESpTIKbwVxUF/XsREoXxnvq44OAj9DTLl8xa+8BPgtsIeltlMKAf5jfJo2ldbdpBqRnoc583YPyHz0xFUGSThhx2JMye3OS9V1d1DdJ35m6P8KoYzH36u/GXpS//zMn7W69rq+0g+2vSroXsN7QulePtH1Fm7i5c5iFOhtyImZEDrOdFVjb+4PtP0hC0vq2r5a043w3akjfew1HS7avpmwMNXFU9rVeCmwGbE+5E/4A9Q64bWKAJIdpafqdoCamzlnS1sB7Wbli5HnAYbaXz2vD1gxTq4tupFt1US+06l7DL5O0yl7D89m2mEiHArsCFwK4bLW6RR+BkxymMdgJasKdAHyclbtwvaQee+q8tWgNMQfVRX155nw3INYof7R926AiW2V72l7GCjLmMEtTl8Sdbq2lu9OoSVZdJl5FxJpF0tHATcDLgL8B/gr4ru03rvaFszApJZkTS9KzJV0D/BD4GmW/3ElZZ/9Xkl4iad367yWUUtuIWDscDqwALgf+klJJ2Us1Ve4cZjCXS+J2Vafyvw94HOVW8nzgNZNwVxMRa7aMOcxszpbE7cFbgINt3whlbwnK5KmUskYsYEOFCyP1sYd0ksPMBkvifp2el8TtwaMGiQHK3hKSdp7PBkXE3WJQuHBo/fjR+vHFwK19fIEkh5mdC2xCmU37EkpVy6Ssqb+OpE2n3DnkZxqxwA3tHb2H7T2Gnjq87k/S+T0qbyQzE3A6cAPwSeCkPtZK78k7gPMlnUK5xXwB8Lb5bVJE3I3uLWlP2+cBSHo8ZUHJzjIgPUuSHkVZV+l5wHLbT5nnJgEgaSfKgPlgan8mSkWsJSQ9Bjie0qMBpaz1FXUb126xkxxmR9IDKJPNDgTu28eAT0REHyRtRHk/b70PeiNmksPqSXo15Y5hEWUPh5NydR4Rk2Ku9hrPmMPMtgVea/vS+W5IRMSw6fYa7yV27hwiItZMc7nXeJbPiIhYc83ZXuPpVoqIWHMN9hr/V+DblJL2XvYaT7dSRMQCIGl9YIO+KpaSHCIi1jCSnru65/vYRz7dShERa55n1Y9bAI8HzqqPnwScAyQ5RESsbQb7x0v6PLCT7evq4y2B/+jja6RaKSJizbV4kBiqXwIP7SNw7hwiItZc50g6HfgEpVLpQODsPgJnQDoiYg1WB6efUB+ea/uzvcRNcoiIiKnSrRQRsYaRdJ7tPSXdwqrbhQqw7Y06f43cOURExFSpVoqIiIYkh4iIaEhyiIiIhiSHiIho+P/j/3ES0QFRlQAAAABJRU5ErkJggg==\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       10266\n",
       "IPTU             10571\n",
       "lat                  0\n",
       "long                 0\n",
       "area_total        1423\n",
       "area_util            0\n",
       "banheiros          596\n",
       "vagas              631\n",
       "quartos             12\n",
       "suites             962\n",
       "idade             6664\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": [
      "(13770, 17)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count    1.377000e+04\n",
       "mean     4.026682e+06\n",
       "std      7.902858e+07\n",
       "min      2.800000e+02\n",
       "25%      4.300000e+05\n",
       "50%      7.500000e+05\n",
       "75%      1.500000e+06\n",
       "max      7.790000e+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": [
      "(13303, 17)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count    1.330300e+04\n",
       "mean     1.041812e+06\n",
       "std      9.110944e+05\n",
       "min      2.800000e+02\n",
       "25%      4.200000e+05\n",
       "50%      7.450000e+05\n",
       "75%      1.390000e+06\n",
       "max      4.999999e+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": [
      "(13303, 17)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count    1.330300e+04\n",
       "mean     6.192476e+03\n",
       "std      6.225579e+05\n",
       "min      1.000000e+00\n",
       "25%      1.770000e+02\n",
       "50%      2.980000e+02\n",
       "75%      4.480000e+02\n",
       "max      7.163026e+07\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": [
      "(12912, 17)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "count    12912.000000\n",
       "mean       318.900713\n",
       "std        189.583477\n",
       "min         24.000000\n",
       "25%        171.750000\n",
       "50%        281.000000\n",
       "75%        420.000000\n",
       "max        996.000000\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      756\n",
       "2      439\n",
       "0      434\n",
       "10     287\n",
       "83     276\n",
       "4      255\n",
       "5      229\n",
       "3      211\n",
       "268    195\n",
       "16     194\n",
       "82     191\n",
       "17     176\n",
       "19     151\n",
       "9      141\n",
       "22     138\n",
       "24     138\n",
       "61     133\n",
       "11     126\n",
       "47     122\n",
       "12     116\n",
       "23     115\n",
       "18     113\n",
       "52     111\n",
       "46     108\n",
       "8      105\n",
       "32     102\n",
       "25     101\n",
       "15      94\n",
       "115     92\n",
       "59      90\n",
       "      ... \n",
       "406      1\n",
       "427      1\n",
       "883      1\n",
       "385      1\n",
       "735      1\n",
       "857      1\n",
       "826      1\n",
       "678      1\n",
       "407      1\n",
       "898      1\n",
       "753      1\n",
       "831      1\n",
       "604      1\n",
       "740      1\n",
       "659      1\n",
       "772      1\n",
       "575      1\n",
       "656      1\n",
       "884      1\n",
       "752      1\n",
       "677      1\n",
       "394      1\n",
       "679      1\n",
       "658      1\n",
       "464      1\n",
       "713      1\n",
       "642      1\n",
       "703      1\n",
       "345      1\n",
       "542      1\n",
       "Name: idade_anuncio, Length: 705, 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": [
       "Vicente Pires, Vicente Pires                           1215\n",
       "Lago Sul, Brasília                                     1191\n",
       "Setor Habitacional Jardim Botânico, Brasília           1055\n",
       "Park Way, Brasília                                      839\n",
       "Taguatinga Norte, Taguatinga                            575\n",
       "Lago Norte, Brasília                                    545\n",
       "Guara II, Guará                                         509\n",
       "Grande Colorado, Sobradinho                             310\n",
       "Guara I, Guará                                          281\n",
       "Samambaia Norte, Samambaia                              261\n",
       "Sobradinho, Sobradinho                                  257\n",
       "Ceilandia Sul, Ceilândia                                255\n",
       "Ceilandia Norte, Ceilândia                              250\n",
       "Taguatinga Sul, Taguatinga                              246\n",
       "Região Dos Lagos, Sobradinho                            240\n",
       "Setor Habitacional Contagem, Sobradinho                 197\n",
       "Asa Sul, Brasília                                       162\n",
       "Alto Da Boa Vista, Sobradinho                           160\n",
       "Centro, Brasília                                        152\n",
       "Samambaia Sul, Samambaia                                143\n",
       "Riacho Fundo I, Riacho Fundo                            142\n",
       "Recanto das Emas, Recanto das Emas                      139\n",
       "Arniqueiras, Águas Claras                               121\n",
       "Residencial Alphaville Flamboyant, Goiânia               91\n",
       "Areal, Águas Claras                                      89\n",
       "Ponte Alta, Gama                                         87\n",
       "Riacho Fundo II, Riacho Fundo                            71\n",
       "Taquari, Brasília                                        68\n",
       "Alphaville Flamboyant Residencial Araguaia, Goiânia      68\n",
       "Colônia Agrícola Samambaia, Vicente Pires                67\n",
       "                                                       ... \n",
       "Jardim Presidente, Rio Verde                              1\n",
       "Parque da Colina I, Formosa                               1\n",
       "Vila Aurora, Formosa                                      1\n",
       "Parque Rio Branco, Valparaíso de Goiás                    1\n",
       "Setor Comendador Walmor, Aparecida de Goiânia             1\n",
       "Condominio Mestre Darmas, Planaltina                      1\n",
       "Cruzeiro Novo, Cruzeiro                                   1\n",
       "Residencial Village Santa Rita I, Goiânia                 1\n",
       "Noroeste, Brasília                                        1\n",
       "Parque Vila Verde, Formosa                                1\n",
       "Setor Habitacional Por do Sol, Ceilândia                  1\n",
       "Setor Central, Caldazinha                                 1\n",
       "Jardim Alphaville, Goiânia                                1\n",
       "Centro, Nova Veneza                                       1\n",
       "Jardim Triângulo, Formosa                                 1\n",
       "Setor Industrial, Gama                                    1\n",
       "Setor dos Bandeirantes, Aparecida de Goiânia              1\n",
       "Setor Conde dos Arcos, Aparecida de Goiânia               1\n",
       "Jardim Ipanema, Valparaíso de Goiás                       1\n",
       "Residencial Cidade Nova, Novo Gama                        1\n",
       "Parque Real, Caldas Novas                                 1\n",
       "Setor Tocantins, Aparecida de Goiânia                     1\n",
       "Setor Hoteleiro Sul, Brasília                             1\n",
       "Bairro Alvorada, Senador Canedo                           1\n",
       "Setor Rio Vermelho, Aparecida de Goiânia                  1\n",
       "Residencial Goiânia Viva, Goiânia                         1\n",
       "Jardim Paraíso, Caldas Novas                              1\n",
       "Mansoes Itiquira, Planaltina                              1\n",
       "Alto Paraiso de Goias, Alto Paraíso de Goiás              1\n",
       "Jardim Bela Vista, Aparecida de Goiânia                   1\n",
       "Name: bairro, Length: 554, 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": [
       "Vicente Pires, Vicente Pires                           1215\n",
       "Lago Sul, Brasília                                     1191\n",
       "Setor Habitacional Jardim Botânico, Brasília           1055\n",
       "Park Way, Brasília                                      839\n",
       "Taguatinga Norte, Taguatinga                            575\n",
       "Lago Norte, Brasília                                    545\n",
       "Guara II, Guará                                         509\n",
       "Grande Colorado, Sobradinho                             310\n",
       "Guara I, Guará                                          281\n",
       "Samambaia Norte, Samambaia                              261\n",
       "Sobradinho, Sobradinho                                  257\n",
       "Ceilandia Sul, Ceilândia                                255\n",
       "Ceilandia Norte, Ceilândia                              250\n",
       "Taguatinga Sul, Taguatinga                              246\n",
       "Região Dos Lagos, Sobradinho                            240\n",
       "Setor Habitacional Contagem, Sobradinho                 197\n",
       "Asa Sul, Brasília                                       162\n",
       "Alto Da Boa Vista, Sobradinho                           160\n",
       "Centro, Brasília                                        152\n",
       "Samambaia Sul, Samambaia                                143\n",
       "Riacho Fundo I, Riacho Fundo                            142\n",
       "Recanto das Emas, Recanto das Emas                      139\n",
       "Arniqueiras, Águas Claras                               121\n",
       "Residencial Alphaville Flamboyant, Goiânia               91\n",
       "Areal, Águas Claras                                      89\n",
       "Ponte Alta, Gama                                         87\n",
       "Riacho Fundo II, Riacho Fundo                            71\n",
       "Taquari, Brasília                                        68\n",
       "Alphaville Flamboyant Residencial Araguaia, Goiânia      68\n",
       "Colônia Agrícola Samambaia, Vicente Pires                67\n",
       "                                                       ... \n",
       "Capuava, Goiânia                                          1\n",
       "Residencial Veneza, Rio Verde                             1\n",
       "Trindade, Trindade                                        1\n",
       "Parque Rio Branco, Valparaíso de Goiás                    1\n",
       "Setor Comendador Walmor, Aparecida de Goiânia             1\n",
       "Condominio Mestre Darmas, Planaltina                      1\n",
       "Cruzeiro Novo, Cruzeiro                                   1\n",
       "Jardim Flamboyant, Luziânia                               1\n",
       "Noroeste, Brasília                                        1\n",
       "Setor Habitacional Por do Sol, Ceilândia                  1\n",
       "Setor Central, Caldazinha                                 1\n",
       "Parque Vila Verde, Formosa                                1\n",
       "Mansões de Recreio Estrela Dalva VIII, Luziânia           1\n",
       "Centro, Nova Veneza                                       1\n",
       "Setor Industrial, Gama                                    1\n",
       "Setor dos Bandeirantes, Aparecida de Goiânia              1\n",
       "Setor Conde dos Arcos, Aparecida de Goiânia               1\n",
       "Jardim Ipanema, Valparaíso de Goiás                       1\n",
       "Jardim Triângulo, Formosa                                 1\n",
       "Parque Real, Caldas Novas                                 1\n",
       "Residencial Cidade Nova, Novo Gama                        1\n",
       "Setor Tocantins, Aparecida de Goiânia                     1\n",
       "Setor Hoteleiro Sul, Brasília                             1\n",
       "Setor Rio Vermelho, Aparecida de Goiânia                  1\n",
       "Residencial Goiânia Viva, Goiânia                         1\n",
       "Jardim Paraíso, Caldas Novas                              1\n",
       "Mansoes Itiquira, Planaltina                              1\n",
       "Bairro Alvorada, Senador Canedo                           1\n",
       "Residencial Village Santa Rita I, Goiânia                 1\n",
       "Jardim Bela Vista, Aparecida de Goiânia                   1\n",
       "Name: bairro, Length: 548, 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 0x7f38f5bf5ef0>"
      ]
     },
     "execution_count": 15,
     "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.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": [
       "Ponte Alta, Gama                                       87\n",
       "Riacho Fundo II, Riacho Fundo                          71\n",
       "Taquari, Brasília                                      68\n",
       "Alphaville Flamboyant Residencial Araguaia, Goiânia    68\n",
       "Colônia Agrícola Samambaia, Vicente Pires              67\n",
       "Jardins Valência, Goiânia                              66\n",
       "Santa Maria, Santa Maria                               65\n",
       "Setor Habitacional Vicente Pires, Taguatinga           59\n",
       "Setor Leste, Gama                                      54\n",
       "Candangolandia, Candangolândia                         52\n",
       "Setor Oeste, Gama                                      50\n",
       "Riacho Fundo, Riacho Fundo                             49\n",
       "Setor De Mansões De Sobradinho, Sobradinho             49\n",
       "Residencial Santos Dumont, Santa Maria                 48\n",
       "Asa Norte, Brasília                                    44\n",
       "Cruzeiro Velho, Cruzeiro                               43\n",
       "Samambaia, Samambaia                                   42\n",
       "Nucleo Bandeirante, Núcleo Bandeirante                 41\n",
       "Setor Habitacional Tororó, Santa Maria                 40\n",
       "Jardins Verona, Goiânia                                39\n",
       "Mansões Aguas Quentes, Caldas Novas                    39\n",
       "Paranoa, Paranoá                                       38\n",
       "Setor Sul, Gama                                        37\n",
       "Centro, Vicente Pires                                  36\n",
       "Setor Habitacional Tororo, Brasília                    33\n",
       "Loteamento Portal do Sol II, Goiânia                   33\n",
       "Jardins Milão, Goiânia                                 31\n",
       "Jardins Madri, Goiânia                                 30\n",
       "Setor Oeste, Sobradinho                                29\n",
       "Nova Colina, Sobradinho                                27\n",
       "                                                       ..\n",
       "Capuava, Goiânia                                        1\n",
       "Residencial Veneza, Rio Verde                           1\n",
       "Trindade, Trindade                                      1\n",
       "Parque Rio Branco, Valparaíso de Goiás                  1\n",
       "Setor Comendador Walmor, Aparecida de Goiânia           1\n",
       "Condominio Mestre Darmas, Planaltina                    1\n",
       "Cruzeiro Novo, Cruzeiro                                 1\n",
       "Jardim Flamboyant, Luziânia                             1\n",
       "Noroeste, Brasília                                      1\n",
       "Setor Habitacional Por do Sol, Ceilândia                1\n",
       "Setor Central, Caldazinha                               1\n",
       "Parque Vila Verde, Formosa                              1\n",
       "Mansões de Recreio Estrela Dalva VIII, Luziânia         1\n",
       "Centro, Nova Veneza                                     1\n",
       "Setor Industrial, Gama                                  1\n",
       "Setor dos Bandeirantes, Aparecida de Goiânia            1\n",
       "Setor Conde dos Arcos, Aparecida de Goiânia             1\n",
       "Jardim Ipanema, Valparaíso de Goiás                     1\n",
       "Jardim Triângulo, Formosa                               1\n",
       "Parque Real, Caldas Novas                               1\n",
       "Residencial Cidade Nova, Novo Gama                      1\n",
       "Setor Tocantins, Aparecida de Goiânia                   1\n",
       "Setor Hoteleiro Sul, Brasília                           1\n",
       "Setor Rio Vermelho, Aparecida de Goiânia                1\n",
       "Residencial Goiânia Viva, Goiânia                       1\n",
       "Jardim Paraíso, Caldas Novas                            1\n",
       "Mansoes Itiquira, Planaltina                            1\n",
       "Bairro Alvorada, Senador Canedo                         1\n",
       "Residencial Village Santa Rita I, Goiânia               1\n",
       "Jardim Bela Vista, Aparecida de Goiânia                 1\n",
       "Name: bairro, Length: 523, 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(['Ponte Alta, Gama', 'Riacho Fundo II, Riacho Fundo',\n",
       "       'Taquari, Brasília',\n",
       "       'Alphaville Flamboyant Residencial Araguaia, Goiânia',\n",
       "       'Colônia Agrícola Samambaia, Vicente Pires',\n",
       "       'Jardins Valência, Goiânia', 'Santa Maria, Santa Maria',\n",
       "       'Setor Habitacional Vicente Pires, Taguatinga',\n",
       "       'Setor Leste, Gama', 'Candangolandia, Candangolândia',\n",
       "       'Setor Oeste, Gama', 'Riacho Fundo, Riacho Fundo',\n",
       "       'Setor De Mansões De Sobradinho, Sobradinho',\n",
       "       'Residencial Santos Dumont, Santa Maria', 'Asa Norte, Brasília',\n",
       "       'Cruzeiro Velho, Cruzeiro', 'Samambaia, Samambaia',\n",
       "       'Nucleo Bandeirante, Núcleo Bandeirante',\n",
       "       'Setor Habitacional Tororó, Santa Maria',\n",
       "       'Jardins Verona, Goiânia', 'Mansões Aguas Quentes, Caldas Novas',\n",
       "       'Paranoa, Paranoá', 'Setor Sul, Gama', 'Centro, Vicente Pires',\n",
       "       'Setor Habitacional Tororo, Brasília',\n",
       "       'Loteamento Portal do Sol II, Goiânia', 'Jardins Milão, Goiânia',\n",
       "       'Jardins Madri, Goiânia', 'Setor Oeste, Sobradinho',\n",
       "       'Nova Colina, Sobradinho', 'Residencial Aldeia do Vale, Goiânia',\n",
       "       'Jardins Paris, Goiânia', 'Jardins Lisboa, Goiânia',\n",
       "       'Loteamento Portal do Sol I, Goiânia',\n",
       "       'Jardins Mangueiral, São Sebastião',\n",
       "       'Cardoso Continuação, Aparecida de Goiânia',\n",
       "       'Centro, Águas Claras', 'Jardim Atlântico, Goiânia',\n",
       "       'Setor Habitacional Jardins Mangueiral, Brasília',\n",
       "       'Centro, Senador Canedo', 'Vila Planalto, Brasília',\n",
       "       'Residencial Itaipu, Goiânia', 'Centro, Caldas Novas',\n",
       "       'Condomínio Império dos Nobres, Sobradinho',\n",
       "       'Jardins Munique, Goiânia', 'Setor Central, Gama',\n",
       "       'Centro, Trindade', 'Residencial Granville, Goiânia',\n",
       "       'Setor Sul, Goiânia', 'Jardim Florença, Goiânia',\n",
       "       'Moinho dos Ventos, Goiânia', 'Centro, Cidade Ocidental',\n",
       "       'Setor Norte, Gama', 'Setor Faiçalville, Goiânia',\n",
       "       'Sobradinho Ii, Sobradinho',\n",
       "       'Setor Aeroporto Sul, Aparecida de Goiânia',\n",
       "       'Jardim Bougainville, Senador Canedo',\n",
       "       'Residencial Goiânia Golfe Clube, Goiânia',\n",
       "       'Centro, Aparecida de Goiânia',\n",
       "       'Setor de Chácaras Anhangüera B, Valparaíso de Goiás',\n",
       "       'Centro, Recanto das Emas', 'Aguas Sul, Águas Claras',\n",
       "       'Setor Tradicional, Planaltina',\n",
       "       'Jardim Buriti Sereno, Aparecida de Goiânia',\n",
       "       'Setor Sudoeste, Goiânia', 'Jardim Balneário Meia Ponte, Goiânia',\n",
       "       'Centro, Taguatinga', 'Setor Central, Caldas Novas',\n",
       "       'Setor Habitacional Sol Nascente, Ceilândia',\n",
       "       'Vila Brasília, Aparecida de Goiânia',\n",
       "       'Cidade Vera Cruz, Aparecida de Goiânia', 'Setor Jaó, Goiânia',\n",
       "       'Valparaiso II, Valparaíso de Goiás', 'Granja Do Torto, Brasília',\n",
       "       'Metropolitana, Núcleo Bandeirante', 'Itanhanga I, Caldas Novas',\n",
       "       'Jardim do Ingá, Luziânia', 'Setor Residencial Leste, Planaltina',\n",
       "       'Parque das Nações, Aparecida de Goiânia',\n",
       "       'Vila Jardim Vitória, Goiânia',\n",
       "       'Setor de Mansões Dom Bosco, Brasília',\n",
       "       'Setor Residencial Oeste, São Sebastião',\n",
       "       'Quinta dos Ipês, São Sebastião', 'Condomínio do Lago, Goiânia',\n",
       "       'Caldas do Oeste, Caldas Novas', 'Alphaville Residencial, Goiânia',\n",
       "       'Setor Leste, Vila Estrutural',\n",
       "       'Sítios Santa Luzia, Aparecida de Goiânia',\n",
       "       'Bandeirante, Caldas Novas', 'Vila São João, Senador Canedo',\n",
       "       'Centro, Goiânia', 'Jardim Europa, Goiânia',\n",
       "       'Jardim Mariliza, Goiânia', 'Jardins Atenas, Goiânia',\n",
       "       'Jardim Maria Inez, Aparecida de Goiânia',\n",
       "       'Aguas Norte, Águas Claras', 'Centro, Valparaíso de Goiás',\n",
       "       'Parque Esplanada I, Valparaíso de Goiás',\n",
       "       'Residencial Vereda dos Buritis, Goiânia',\n",
       "       'Setor Goiânia 2, Goiânia', 'Gama, Gama',\n",
       "       'Jardim Imperial, Aparecida de Goiânia',\n",
       "       'Ceilandia Centro, Ceilândia', 'Parque das Laranjeiras, Goiânia',\n",
       "       'Valparaiso I - Etapa B, Valparaíso de Goiás',\n",
       "       'Condomínio Vivendas Chácaras Ypiranga, Valparaíso de Goiás',\n",
       "       'Anhangüera, Goiânia', 'Parque Esplanada III, Valparaíso de Goiás',\n",
       "       'Núcleo Rural Lago Oeste, Sobradinho',\n",
       "       'Vila Metropolitana, Núcleo Bandeirante',\n",
       "       'Setor de Chácaras Anhangüera C, Valparaíso de Goiás',\n",
       "       'Parque das Flores, Goiânia',\n",
       "       'Jardim Dom Bosco, Aparecida de Goiânia', 'Centro, Candangolândia',\n",
       "       'Jardins Viena, Aparecida de Goiânia',\n",
       "       'Senador Canedo, Senador Canedo',\n",
       "       'Setor Marista Sul, Aparecida de Goiânia', 'Centro, Gama',\n",
       "       'Setor Habitacional Arniqueiras, Taguatinga', 'Centro, Guará',\n",
       "       'Centro, Sobradinho', 'Setor Maysa, Trindade',\n",
       "       'Parque Itatiaia, Aparecida de Goiânia',\n",
       "       'Vila Novo Horizonte, Goiânia', 'Santa Genoveva, Goiânia',\n",
       "       'Residencial Center Ville, Goiânia', 'Residencial Kátia, Goiânia',\n",
       "       'Parque Veiga Jardim, Aparecida de Goiânia',\n",
       "       'Setor de Chácaras Anhangüera A, Valparaíso de Goiás',\n",
       "       'Jardins Mônaco, Aparecida de Goiânia', 'Jardim São José, Goiânia',\n",
       "       'Parque Montreal, Aparecida de Goiânia',\n",
       "       'Condomínio Residencial Santa Mônica, Santa Maria',\n",
       "       'Morada Nobre, Valparaíso de Goiás', 'Setor Central, Goiânia',\n",
       "       'Arapoanga, Planaltina', 'Jardim Tropical, Aparecida de Goiânia',\n",
       "       'Parque Anhangüera, Goiânia', 'Del Lago Ii, Paranoá',\n",
       "       'Formosinha, Formosa', 'Jardim Helvécia, Aparecida de Goiânia',\n",
       "       'Vila Itatiaia, Goiânia', 'Setor Total Ville, Santa Maria',\n",
       "       'Residencial Solar Bougainville, Goiânia',\n",
       "       'Caminho do Lago, Caldas Novas', 'Setor Morada do Sol, Goiânia',\n",
       "       'Setor Três Marias, Goiânia', 'Itaguai I, Caldas Novas',\n",
       "       'Valparaiso I - Etapa A, Valparaíso de Goiás',\n",
       "       'Setor Meireles, Santa Maria', 'Jardim Serrano, Caldas Novas',\n",
       "       'Itapoa Ii, Paranoá', 'Centro, Pirenópolis',\n",
       "       'Serra Azul, Sobradinho', 'Setor Pedro Ludovico, Goiânia',\n",
       "       'Setor Residencial Oeste, Planaltina',\n",
       "       'Vila São José, Vicente Pires', 'Residencial Ana Clara, Goiânia',\n",
       "       'Residencial Santa Fé I, Goiânia',\n",
       "       'Condomínio Amin Camargo, Goiânia',\n",
       "       'Residencial Della Penna, Goiânia',\n",
       "       'Chacara Sao Pedro, Aparecida de Goiânia',\n",
       "       'Setor Central, Hidrolândia',\n",
       "       'Valparaiso I - Etapa E, Valparaíso de Goiás',\n",
       "       'Brazlandia, Brazlandia',\n",
       "       'Chácaras Anhangüera, Valparaíso de Goiás',\n",
       "       'Jardim Alto Paraíso, Aparecida de Goiânia',\n",
       "       'Fazenda Vau das Pombas, Goiânia',\n",
       "       'Valparaiso I - Etapa C, Valparaíso de Goiás',\n",
       "       'Parque Haiala, Aparecida de Goiânia',\n",
       "       'Centro, Santo Antônio do Descoberto',\n",
       "       'Residencial Campos Dourados, Goiânia',\n",
       "       'Setor de Habitações Individuais Norte, Brasília',\n",
       "       'Vila Sao Jose, São Sebastião',\n",
       "       'Recanto dos Emboabas, Aparecida de Goiânia',\n",
       "       'Chácaras São Pedro, Aparecida de Goiânia',\n",
       "       'Residencial Hugo de Moraes, Goiânia',\n",
       "       'Parque Trindade, Aparecida de Goiânia',\n",
       "       'Parque Ibirapuera, Aparecida de Goiânia', 'Setor Sul, Planaltina',\n",
       "       'Papillon Park, Aparecida de Goiânia',\n",
       "       'Jardim Novo Mundo, Goiânia', 'Vila Maria, Aparecida de Goiânia',\n",
       "       'Centro, Rio Verde',\n",
       "       'Cidade Satélite São Luiz, Aparecida de Goiânia',\n",
       "       'Centro, Santa Maria', 'Vale Do Amanhecer, Planaltina',\n",
       "       'Centro, Luziânia', 'Jardim Ipanema, Goiânia',\n",
       "       'Planaltina, Planaltina', 'Ilda, Aparecida de Goiânia',\n",
       "       'Jardim Itaipu, Goiânia',\n",
       "       'Santo Antonio do Descoberto, Santo Antônio do Descoberto',\n",
       "       'Residencial Sonho Verde, Goiânia',\n",
       "       'Parque das Paineiras (1,2,3 e 4 Etapa), Goiânia',\n",
       "       'Parque Esplanada II, Valparaíso de Goiás',\n",
       "       'Setor Santos Dumont, Goiânia',\n",
       "       'Cidade Ocidental, Cidade Ocidental',\n",
       "       'Jardim Abc, Cidade Ocidental',\n",
       "       'Jardim Florença, Aparecida de Goiânia', 'Centro, São Sebastião',\n",
       "       'Setor Norte, Planaltina de Goiás', 'Itaguai II, Caldas Novas',\n",
       "       'Residencial Aquários, Goiânia', 'Jardim Petrópolis, Goiânia',\n",
       "       'Setor de Habitações Individuais Sul, Brasília',\n",
       "       'Residencial Brisas da Mata, Goiânia', 'Vila Bela, Goiânia',\n",
       "       'Residencial Bica do Der Gleba B, Planaltina',\n",
       "       'Setor Garavelo, Aparecida de Goiânia',\n",
       "       'Conjunto Vera Cruz, Goiânia',\n",
       "       'Setor Santo André, Aparecida de Goiânia',\n",
       "       'Jardim Helvécia Complemento, Aparecida de Goiânia',\n",
       "       'Ipiranga, Valparaíso de Goiás',\n",
       "       'Jardim Boa Esperança, Aparecida de Goiânia',\n",
       "       'Turista II, Caldas Novas', 'Varjao, Varjao', 'Centro, Formosa',\n",
       "       'Residencial Recanto do Bosque, Goiânia',\n",
       "       'Vila Vicentina, Planaltina',\n",
       "       'Setor Serra Dourada, Aparecida de Goiânia',\n",
       "       'Mansões do Lago, Brasília', 'Centro, Ceilândia',\n",
       "       'Itapoa I, Paranoá', 'Pirenopolis, Pirenópolis',\n",
       "       'Centro, Niquelândia', 'Park Sul, Brasília',\n",
       "       'Jardim Vila Boa, Goiânia',\n",
       "       'Residencial Village Santa Rita IV, Goiânia', 'Centro, Samambaia',\n",
       "       'Setor Grajaú, Goiânia', 'Vale das Brisas, Senador Canedo',\n",
       "       'Cidade Jardim, Goiânia', 'Conjunto Riviera, Goiânia',\n",
       "       'Parque São Bernardo, Valparaíso de Goiás', 'Setor Sul, Formosa',\n",
       "       'Serrinha, Goiânia', 'Expansul, Aparecida de Goiânia',\n",
       "       'Valparaiso I - Etapa D, Valparaíso de Goiás',\n",
       "       'Parque São Jorge, Aparecida de Goiânia',\n",
       "       'Jardim Planalto, Goiânia', 'Setor Criméia Leste, Goiânia',\n",
       "       'Sítio de Recreio Ipê, Goiânia', 'Setor Central, Senador Canedo',\n",
       "       'Nova Olinda, Aparecida de Goiânia',\n",
       "       'Setor Castelo Branco, Goiânia', 'Itapua, Aparecida de Goiânia',\n",
       "       'Centro, Alto Paraíso de Goiás', 'Alphaville, Brasília',\n",
       "       'Residencial Canadá, Goiânia', 'Vila Estrutural, Guará',\n",
       "       'Setor Leste Universitário, Goiânia',\n",
       "       'Parque Esplanada V, Valparaíso de Goiás',\n",
       "       'Setor Central, Ipameri', 'Setor São José, Goiânia',\n",
       "       'Jardim das Rosas, Goiânia', 'Zona Rural, Brasília',\n",
       "       'Parque Estrela Dalva IX, Luziânia',\n",
       "       'Jardim Jóckei Clube, Luziânia', 'Fazendinha, Paranoá',\n",
       "       'V. Sao Jose, São Sebastião', 'Solange Park I, Goiânia',\n",
       "       'Cardoso, Aparecida de Goiânia',\n",
       "       'Parque Trindade III, Aparecida de Goiânia',\n",
       "       'Vale Das Acacias, Sobradinho', 'Vila Osvaldo Rosa, Goiânia',\n",
       "       'Vila Redenção, Goiânia', 'Aldeia do Vale, Goiânia',\n",
       "       'Setor Economico De Sobradinho, Sobradinho',\n",
       "       'Setor de Mansões Lago Norte, Brasília',\n",
       "       'Parque Estrela Dalva IV, Luziânia',\n",
       "       'Residencial Alice Barbosa, Goiânia',\n",
       "       'Ponte Alta de Cima, Brasília',\n",
       "       'Condominio Prive Lucena Roriz, Ceilândia',\n",
       "       'Setor Garavelo B, Goiânia', 'São Bartolomeu, São Sebastião',\n",
       "       'V. Sao Jose, Brazlandia', 'Jardim Olímpico, Aparecida de Goiânia',\n",
       "       'Engenheiro Jofre Parada, Luziânia',\n",
       "       'Novo Jardim Oriente, Valparaíso de Goiás',\n",
       "       'Estancia Mestre D Armas, Planaltina', 'Alexania, Alexânia',\n",
       "       'Setor Morada dos Pássaros, Aparecida de Goiânia',\n",
       "       'Setor Central, Vila Estrutural', 'Parque Lago, Formosa',\n",
       "       'Resid. Morro Da Cruz, São Sebastião',\n",
       "       'Setor Leste Vila Nova, Goiânia', 'Fazenda São Domingos, Goiânia',\n",
       "       'Chácaras Alto da Glória, Goiânia', 'Setor Central, Goianira',\n",
       "       'Zona Rural, Vicente Pires', 'Zona Rural, Alto Paraíso de Goiás',\n",
       "       'Zona Rural, Guará', 'Vila Regina, Goiânia',\n",
       "       'Condomínio Mansões Sobradinho, Sobradinho',\n",
       "       'Vila Santos Dumont, Aparecida de Goiânia',\n",
       "       'Residencial Recreio Panorama, Goiânia', 'Vila Lucy, Goiânia',\n",
       "       'Residencial Alvaluz, Aparecida de Goiânia',\n",
       "       'Jardim Tiradentes, Aparecida de Goiânia',\n",
       "       'Setor dos Funcionários, Goiânia', 'V. Nova, São Sebastião',\n",
       "       'Parque Industrial de Goiânia, Goiânia',\n",
       "       'Aguas Lindas de Goias, Águas Lindas de Goiás',\n",
       "       'Setor Primavera, Formosa', 'Flamboyant, Quirinópolis',\n",
       "       'Taguatinga Centro, Taguatinga',\n",
       "       'Parque Estrela Dalva VI (Pedregal), Novo Gama',\n",
       "       'Parque da Barragem Setor 08, Águas Lindas de Goiás',\n",
       "       'Area Especial, Taguatinga', 'Independência, Aparecida de Goiânia',\n",
       "       'Jardim dos Girassóis, Aparecida de Goiânia',\n",
       "       'Vila Nova, São Sebastião',\n",
       "       'Jardim América IV, Águas Lindas de Goiás',\n",
       "       'Condomínio Comercial e Residencial Sobradinho, Sobradinho',\n",
       "       'Garavelo Residencial Park, Aparecida de Goiânia',\n",
       "       'Setor Barra da Tijuca, Goiânia', 'Setor Coimbra, Goiânia',\n",
       "       'Estancias Vila Rica, Sobradinho', 'Centro, Paranaiguara',\n",
       "       'Quadras Economicas Lucio Costa, Guará', 'Esplanada, Rio Quente',\n",
       "       'Parque Estrela Dalva III, Luziânia',\n",
       "       'Jardim das Esmeraldas, Goiânia',\n",
       "       'Jardim Riviera, Aparecida de Goiânia', 'Jardim Roriz, Planaltina',\n",
       "       'Itaguai III, Caldas Novas',\n",
       "       'Condomínio Vale dos Pinheiros, Sobradinho',\n",
       "       'Vila Megale, Goiânia', 'Centro, Riacho Fundo',\n",
       "       'Jardim da Barragem IV, Águas Lindas de Goiás',\n",
       "       'Residencial Rio Verde, Goiânia', 'Setor Estrela Dalva, Goiânia',\n",
       "       'Jardim Gardênia, Goiânia',\n",
       "       'Jardim Paquetá I, Planaltina de Goiás', 'Zona Rural, Paranoá',\n",
       "       'Cidade Jardins, Valparaíso de Goiás',\n",
       "       'Jardim Marques de Abreu, Goiânia', 'Setor Alto do Vale, Goiânia',\n",
       "       'Retiro do Bosque, Aparecida de Goiânia',\n",
       "       'Parque Santa Rita de Cássia, Valparaíso de Goiás',\n",
       "       'Jardim dos Turistas, Caldas Novas',\n",
       "       'Setor De Clubes Esportivos Sul, Brasília',\n",
       "       'Zona Rural, Samambaia', 'Jardim Clarissa, Goiânia',\n",
       "       'Vila Rosa, Aparecida de Goiânia', 'Centro, Corumbaíba',\n",
       "       'Rosa dos Ventos, Aparecida de Goiânia', 'Vila Fróes, Goiânia',\n",
       "       'Setor Residencial Campos Elísios, Aparecida de Goiânia',\n",
       "       'Sitio Do Gama, Santa Maria', 'Centro, Palmeiras de Goiás',\n",
       "       'Residencial Vitória, São Sebastião',\n",
       "       'Portal Do Amanhecer, Planaltina', 'Pacaembu, Valparaíso de Goiás',\n",
       "       'Residencial Ville de France, Goiânia', 'Zona Rural, Caldas Novas',\n",
       "       'Centro, Jardim ABC de Goiás',\n",
       "       'Núcleo Habitacional Novo Gama, Novo Gama',\n",
       "       'Parque Estrela Dalva X, Luziânia',\n",
       "       'Internacional Park, Aparecida de Goiânia',\n",
       "       'Jardim Guanabara II, Goiânia', 'Vila Santa Helena, Goiânia',\n",
       "       'Zona Industrial, Brasília',\n",
       "       'Jardim das Laranjeiras I, Águas Lindas de Goiás',\n",
       "       'Neropolis, Nerópolis', 'Caldas Novas, Caldas Novas',\n",
       "       'Portal Águas Quentes, Caldas Novas', 'Itaici I, Caldas Novas',\n",
       "       'Núcleo Rural Vargem Bonita, Núcleo Bandeirante',\n",
       "       'Vila São João, Goiânia',\n",
       "       'Residencial Alice Barbosa Extensão, Goiânia',\n",
       "       'Jardim Bonança, Aparecida de Goiânia',\n",
       "       'Residencial Barravento, Goiânia', 'Vila João Vaz, Goiânia',\n",
       "       'Zona Rural, Águas Claras', 'Centro, Uruaçu',\n",
       "       'Setor Santa Luzia, Aparecida de Goiânia', 'Zona Rural, Alexânia',\n",
       "       'Residencial Flamingo, Goiânia',\n",
       "       'Vila Romana, Aparecida de Goiânia',\n",
       "       'Parque Industrial João Braz, Goiânia', 'Ponta Caiana, Trindade',\n",
       "       'Jardim Esplanada, Aparecida de Goiânia',\n",
       "       'Setor Central, Anápolis', 'Residencial Santa Fé, Goiânia',\n",
       "       'Setor Aeroporto, Goiânia', 'Setor Especial, Vila Estrutural',\n",
       "       'Vila Jardim São Judas Tadeu, Goiânia',\n",
       "       'Aldeia do Lago, Caldas Novas',\n",
       "       'Estancia Mestre D Armas V, Planaltina',\n",
       "       'Setor Gentil Meireles, Goiânia',\n",
       "       'Independência das Mansões, Aparecida de Goiânia',\n",
       "       'Jardim Santo Antônio, Goiânia', 'Zona Rural, Hidrolândia',\n",
       "       'Setor Urias Magalhães, Goiânia', 'Jardim Alphaville, Goiânia',\n",
       "       'Park Lozandes, Goiânia', 'Jardim Nova Esperança, Goiânia',\n",
       "       'Jardim Presidente, Goiânia', 'Centro, Cavalcante',\n",
       "       'Parque Alvorada II, Luziânia', 'Setor Leste, Luziânia',\n",
       "       'Setor Parque Tremendão, Goiânia',\n",
       "       'Residencial São Marcos, Goiânia', 'Fazenda Gameleira, Goiânia',\n",
       "       'Residencial Itaipu, São Sebastião', 'Planaltina, Goiás',\n",
       "       'Centro, Santo Antônio de Goiás',\n",
       "       'Condomínio das Esmeraldas, Goiânia',\n",
       "       'Jardim Maranata, Aparecida de Goiânia',\n",
       "       'Parque Marajó, Valparaíso de Goiás',\n",
       "       'Vera Cruz, Aparecida de Goiânia', 'Parque Alvorada I, Luziânia',\n",
       "       'Setor Residencial Mestre Darmas, Planaltina',\n",
       "       'Vila Rabelo I, Sobradinho',\n",
       "       'Residencial Parque Mendanha, Goiânia', 'Vila Rosa, Goiânia',\n",
       "       'Vila Maria Luiza, Goiânia', 'Setor Santa Rita, Goiânia',\n",
       "       'Zona Rural, Sobradinho', 'Jardim Gramado, Goiânia',\n",
       "       'Jardim Belo Horizonte, Aparecida de Goiânia',\n",
       "       'Vila Aurora, Formosa', 'Residencial Orlando Morais, Goiânia',\n",
       "       'Centro, Goianira', 'Del Lago I, Paranoá', 'Sion, Luziânia',\n",
       "       'Vila Morais, Goiânia', 'Residencial Samauma, Planaltina',\n",
       "       'Conjunto Cruzeiro do Sul, Aparecida de Goiânia',\n",
       "       'Residencial Licardino Ney, Goiânia', 'Area Especial, Guará',\n",
       "       'São Caetano, Luziânia', 'Chácaras Maringá, Goiânia',\n",
       "       'Zona Rural, Taguatinga', 'Parque Estrela Dalva VII, Luziânia',\n",
       "       'Jardim das Aroeiras, Goiânia', 'Jundiaí, Anápolis',\n",
       "       'Parque Santa Cecília, Aparecida de Goiânia',\n",
       "       'Residencial São Francisco II, Planaltina',\n",
       "       'Condomínio Mestre D Armas, Planaltina', 'Centro, Goiatuba',\n",
       "       'Jardim Mont Serrat, Aparecida de Goiânia',\n",
       "       'Setor Tradicional, São Sebastião', 'Jardim Mirabel, Goiânia',\n",
       "       'Jardim Nova Era Acréscimo, Aparecida de Goiânia',\n",
       "       'Sao Francisco, Senador Canedo',\n",
       "       'Cidade Livre, Aparecida de Goiânia', 'Vila Jaraguá, Goiânia',\n",
       "       'Vila Estrutural, Distrito Federal', 'Setor Central, Turvânia',\n",
       "       'Parque Atheneu, Goiânia',\n",
       "       'Setor Habitacional Vereda Grande, Taguatinga',\n",
       "       'Parque da Colina I, Formosa', 'Conjunto Primavera, Goiânia',\n",
       "       'Parque Santa Rita, Goiânia', 'Itapua, Paranoá',\n",
       "       'Setor Norte, Brazlandia', 'Setor Norte Maravilha, Luziânia',\n",
       "       'Condomínio Guirra, Planaltina', 'Nova Suica, Goiânia',\n",
       "       'Jardim Califórnia, Goiânia', 'Vila Borges, Rio Verde',\n",
       "       'Jardim Céu Azul, Valparaíso de Goiás',\n",
       "       'Vila Da Telebrasilia, Brasília',\n",
       "       'Royal Parque, Águas Lindas de Goiás', 'Vila Nova Canaã, Goiânia',\n",
       "       'Estancia Planaltina, Planaltina', 'Centro, Abadiânia',\n",
       "       'Sao Sebastiao, Senador Canedo', 'Jardim Diamantina, Goiânia',\n",
       "       'Conjunto Caiçara, Goiânia',\n",
       "       'Conjunto Residencial Aruanã I, Goiânia', 'Centro, Alexânia',\n",
       "       'Alto Paraiso de Goias, Alto Paraíso de Goiás',\n",
       "       'Parque Napolis A, Cidade Ocidental', 'Itanhangá, Caldas Novas',\n",
       "       'Parque da Barragem Setor 03, Águas Lindas de Goiás',\n",
       "       'Jardim Progresso, Aparecida de Goiânia',\n",
       "       'Vila Monticelli, Goiânia', 'Vila São José, Taguatinga',\n",
       "       'Terra Prometida, Aparecida de Goiânia',\n",
       "       'American Parque, Aparecida de Goiânia',\n",
       "       'Estância Itajá, Caldas Novas',\n",
       "       'Recreio das Águas Lindas II, Águas Lindas de Goiás',\n",
       "       'Mansões Olinda, Águas Lindas de Goiás',\n",
       "       'Residencial Jardim Paraíso, Águas Lindas de Goiás',\n",
       "       'Setor Bosque, Formosa', 'Jardim Bela Vista, Goiânia',\n",
       "       'Parque Itamarati, Aparecida de Goiânia',\n",
       "       'Vila Carolina, Rio Verde', 'Jardim Presidente, Rio Verde',\n",
       "       'Capuava, Goiânia', 'Residencial Veneza, Rio Verde',\n",
       "       'Trindade, Trindade', 'Parque Rio Branco, Valparaíso de Goiás',\n",
       "       'Setor Comendador Walmor, Aparecida de Goiânia',\n",
       "       'Condominio Mestre Darmas, Planaltina', 'Cruzeiro Novo, Cruzeiro',\n",
       "       'Jardim Flamboyant, Luziânia', 'Noroeste, Brasília',\n",
       "       'Setor Habitacional Por do Sol, Ceilândia',\n",
       "       'Setor Central, Caldazinha', 'Parque Vila Verde, Formosa',\n",
       "       'Mansões de Recreio Estrela Dalva VIII, Luziânia',\n",
       "       'Centro, Nova Veneza', 'Setor Industrial, Gama',\n",
       "       'Setor dos Bandeirantes, Aparecida de Goiânia',\n",
       "       'Setor Conde dos Arcos, Aparecida de Goiânia',\n",
       "       'Jardim Ipanema, Valparaíso de Goiás', 'Jardim Triângulo, Formosa',\n",
       "       'Parque Real, Caldas Novas', 'Residencial Cidade Nova, Novo Gama',\n",
       "       'Setor Tocantins, Aparecida de Goiânia',\n",
       "       'Setor Hoteleiro Sul, Brasília',\n",
       "       'Setor Rio Vermelho, Aparecida de Goiânia',\n",
       "       'Residencial Goiânia Viva, Goiânia',\n",
       "       'Jardim Paraíso, Caldas Novas', 'Mansoes Itiquira, Planaltina',\n",
       "       'Bairro Alvorada, Senador Canedo',\n",
       "       'Residencial Village Santa Rita I, Goiânia',\n",
       "       'Jardim Bela Vista, Aparecida de Goiânia'], 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": [
      "(9425, 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>SHIS QI 28 PROJETO AGRADÁVEL - Whatsapp - José...</td>\n",
       "      <td>2300000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/shis-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.813517400000000</td>\n",
       "      <td>-47.811048499999970</td>\n",
       "      <td>776m²</td>\n",
       "      <td>400</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SHIS QI 28,  Lago Sul, Brasília</td>\n",
       "      <td>Lago Sul, Brasília</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LAGO SUL - 4Qts* 2 Sts - PROJETO ARQUITETÔNICO...</td>\n",
       "      <td>2490000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/lago-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.863871300000000</td>\n",
       "      <td>-47.875655400000030</td>\n",
       "      <td>1500m²</td>\n",
       "      <td>800</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8</td>\n",
       "      <td>SHIS QI 17,  Lago Sul, Brasília</td>\n",
       "      <td>Lago Sul, Brasília</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>QE 15 Laje, sótão, oportunidade!!!</td>\n",
       "      <td>540000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/qe-15...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.829574477730766</td>\n",
       "      <td>-47.977716817860426</td>\n",
       "      <td>140m²</td>\n",
       "      <td>120</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17</td>\n",
       "      <td>Qe 15,  Guara II, Guará</td>\n",
       "      <td>Guara II, Guará</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Lindo sobrado com 6 suítes em ParkWay quadra 27</td>\n",
       "      <td>2650000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/lindo...</td>\n",
       "      <td>R$ 350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.905274200000000</td>\n",
       "      <td>-47.918750400000020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>750</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9</td>\n",
       "      <td>SMPW Quadra 27 conjunto C,  Park Way, Brasília</td>\n",
       "      <td>Park Way, Brasília</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Casa à venda - em Vicente Pires</td>\n",
       "      <td>900000</td>\n",
       "      <td>https://www.wimoveis.com.br/propriedades/casa-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-15.794686999999999</td>\n",
       "      <td>-48.051364200000001</td>\n",
       "      <td>400m²</td>\n",
       "      <td>195</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RUA 12 CHACARA 129A CONJUNTO D,  Vicente Pires...</td>\n",
       "      <td>Vicente Pires, Vicente Pires</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                nome  valor_venda  \\\n",
       "0  SHIS QI 28 PROJETO AGRADÁVEL - Whatsapp - José...      2300000   \n",
       "1  LAGO SUL - 4Qts* 2 Sts - PROJETO ARQUITETÔNICO...      2490000   \n",
       "4                QE 15 Laje, sótão, oportunidade!!!        540000   \n",
       "5    Lindo sobrado com 6 suítes em ParkWay quadra 27      2650000   \n",
       "6                    Casa à venda - em Vicente Pires       900000   \n",
       "\n",
       "                                                 url condominio IPTU  \\\n",
       "0  https://www.wimoveis.com.br/propriedades/shis-...        NaN  NaN   \n",
       "1  https://www.wimoveis.com.br/propriedades/lago-...        NaN  NaN   \n",
       "4  https://www.wimoveis.com.br/propriedades/qe-15...        NaN  NaN   \n",
       "5  https://www.wimoveis.com.br/propriedades/lindo...     R$ 350  NaN   \n",
       "6  https://www.wimoveis.com.br/propriedades/casa-...        NaN  NaN   \n",
       "\n",
       "                   lat                 long area_total  area_util  banheiros  \\\n",
       "0  -15.813517400000000  -47.811048499999970      776m²        400        6.0   \n",
       "1  -15.863871300000000  -47.875655400000030     1500m²        800        5.0   \n",
       "4  -15.829574477730766  -47.977716817860426      140m²        120        2.0   \n",
       "5  -15.905274200000000  -47.918750400000020        NaN        750        8.0   \n",
       "6  -15.794686999999999  -48.051364200000001      400m²        195        6.0   \n",
       "\n",
       "   vagas  quartos  suites idade  \\\n",
       "0    NaN      4.0     3.0   NaN   \n",
       "1    4.0      4.0     2.0     8   \n",
       "4    2.0      3.0     1.0    17   \n",
       "5    2.0      6.0     6.0     9   \n",
       "6    4.0      3.0     3.0   NaN   \n",
       "\n",
       "                                            endereco  \\\n",
       "0                    SHIS QI 28,  Lago Sul, Brasília   \n",
       "1                    SHIS QI 17,  Lago Sul, Brasília   \n",
       "4                            Qe 15,  Guara II, Guará   \n",
       "5     SMPW Quadra 27 conjunto C,  Park Way, Brasília   \n",
       "6  RUA 12 CHACARA 129A CONJUNTO D,  Vicente Pires...   \n",
       "\n",
       "                         bairro idade_anuncio  \n",
       "0            Lago Sul, Brasília           143  \n",
       "1            Lago Sul, Brasília            12  \n",
       "4               Guara II, Guará            10  \n",
       "5            Park Way, Brasília             4  \n",
       "6  Vicente Pires, Vicente Pires            23  "
      ]
     },
     "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": [
       "Vicente Pires, Vicente Pires                    1215\n",
       "Lago Sul, Brasília                              1191\n",
       "Setor Habitacional Jardim Botânico, Brasília    1055\n",
       "Park Way, Brasília                               839\n",
       "Taguatinga Norte, Taguatinga                     575\n",
       "Lago Norte, Brasília                             545\n",
       "Guara II, Guará                                  509\n",
       "Grande Colorado, Sobradinho                      310\n",
       "Guara I, Guará                                   281\n",
       "Samambaia Norte, Samambaia                       261\n",
       "Sobradinho, Sobradinho                           257\n",
       "Ceilandia Sul, Ceilândia                         255\n",
       "Ceilandia Norte, Ceilândia                       250\n",
       "Taguatinga Sul, Taguatinga                       246\n",
       "Região Dos Lagos, Sobradinho                     240\n",
       "Setor Habitacional Contagem, Sobradinho          197\n",
       "Asa Sul, Brasília                                162\n",
       "Alto Da Boa Vista, Sobradinho                    160\n",
       "Centro, Brasília                                 152\n",
       "Samambaia Sul, Samambaia                         143\n",
       "Riacho Fundo I, Riacho Fundo                     142\n",
       "Recanto das Emas, Recanto das Emas               139\n",
       "Arniqueiras, Águas Claras                        121\n",
       "Residencial Alphaville Flamboyant, Goiânia        91\n",
       "Areal, Águas Claras                               89\n",
       "Name: bairro, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.bairro.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.quartos = df.quartos.fillna(df.quartos.median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(9425, 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>400</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2300000</td>\n",
       "      <td>-15.813517400000000</td>\n",
       "      <td>-47.811048499999970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>800</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2490000</td>\n",
       "      <td>-15.863871300000000</td>\n",
       "      <td>-47.875655400000030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>120</td>\n",
       "      <td>3.0</td>\n",
       "      <td>540000</td>\n",
       "      <td>-15.829574477730766</td>\n",
       "      <td>-47.977716817860426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>750</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2650000</td>\n",
       "      <td>-15.905274200000000</td>\n",
       "      <td>-47.918750400000020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>195</td>\n",
       "      <td>3.0</td>\n",
       "      <td>900000</td>\n",
       "      <td>-15.794686999999999</td>\n",
       "      <td>-48.051364200000001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   area_util  quartos  valor_venda                  lat                 long\n",
       "0        400      4.0      2300000  -15.813517400000000  -47.811048499999970\n",
       "1        800      4.0      2490000  -15.863871300000000  -47.875655400000030\n",
       "4        120      3.0       540000  -15.829574477730766  -47.977716817860426\n",
       "5        750      6.0      2650000  -15.905274200000000  -47.918750400000020\n",
       "6        195      3.0       900000  -15.794686999999999  -48.051364200000001"
      ]
     },
     "execution_count": 21,
     "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": 22,
   "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": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_regression.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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": 24,
   "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": 24,
     "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": 25,
   "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": 26,
   "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": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((9425, 4), (9425,))"
      ]
     },
     "execution_count": 27,
     "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": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "#X_columns = X.columns.values\n",
    "#X = pd.DataFrame(StandardScaler().fit_transform(X),columns=X_columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((8482, 4), (943, 4), (8482,), (943,))"
      ]
     },
     "execution_count": 29,
     "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": 30,
   "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": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg = RandomForestRegressor(n_estimators=100) \n",
    "reg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean squared error: 120076056239.51\n",
      "Root Mean squared error: 346519.92\n",
      "R2 score: 0.82\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": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature ranking:\n",
      "1. feature area_util (0.594431)\n",
      "2. feature long (0.191720)\n",
      "3. feature lat (0.183765)\n",
      "4. feature quartos (0.030084)\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": 34,
   "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": 35,
   "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": 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": [
    "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": 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 < 751]\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 < 301]\n",
    "ax2 = df_zoom.plot.scatter(x='area_util',\n",
    "                       y='valor_venda',\n",
    "                       c='DarkBlue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4212, 17)\n"
     ]
    },
    {
     "data": {
      "image/png": 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6hRBrAExPXbUYY4xlG04vkh583bOX0zGBzUTkB7CXiH4D4AiA3qmrFmOMsWzD6UXSg6979nLaEvgdAD4ASwGcAjAcwL+kqlKMMcayD6cXSQ++7tmLU8Q4wCliGGOs+/Ds4PTg637m8GTZOCJ6i4jeNPtxUInhRFRLRCEieoeI7lDKzyGibUT0vvJvf6WciOg/iKheOcbFmn0tULZ/n4gWaMonKPWsV55LiR6DMcZY+gWDBZg0aQgHIt2Mr3v2sesOng1gDoAtys+3lJ/NAJ5xsP8OAP9bCFEMYAqA24ioBMBdAF4SQowC8JLyOwBcBWCU8rMYwCNANKADcA+ASwBMBnCPGtQp2yzWPG+WUu7qGIwxxhhj2cQyCBRCNAohGgFMFUL8UAjxlvJzF4CZdjsXQhwRQuxW/v8FgBCAoQDmAlirbLYWwDzl/3MBPCmiXgdwNhENUY61TQjxqRDiBIBtAGYpj/UVQrwmov3aT+r25eYYjDHGGGNZw+nEkN5ENE39hYguhcvZwURUBGA8gL8DGCyEOAJEA0UAg5TNhgI4qHnaIaXMqvyQpBwJHENf38VEtJOIdobDYTenyhhjjDGW8ZymiKkAsJqI1PninwG4yelBiKgPgGcB/KsQ4nNl2J50U0mZSKDcsjpOniOEWAVgFRCdGGKzT8YYY6xH8nJCSCh0HDt2HMHkyUNQXDzAoxqyVHEUBAohdgG4iIj6Ijqj2HEGSSLKQzQAfEoI8T9K8VEiGiKEOKJ0xX6ilB9CNP2MahiAj5Tyy3XlryjlwyTbJ3IMxhhjLKtUVYVQUVENvz8HkUgXKitnory8OKF9LVtWg5Ur98Z+X7p0HFasKPWqqiwFnK4d3IuIvolonsA7iOhuIrrbwfMIQCWAkBDit5qHXgCgzvBdAGCjpvxGZQbvFABNSlduNYAyIuqvTAgpA1CtPPaFsrYxAbhRty83x2CMMcayhpfLxYVCx+MCQABYuXIvQqHjXlWXpYDT7uCNAJoA7ALQ5mL/UxFNNP0WEal3x08A/ArAeiKqAHAAwLXKY5sBXA2gHkAzgEUAIIT4lIjuA1CnbLdcCPGp8v8lAJ5AdE3jPyk/cHsMxhhjLJuoy8W1tJwuU5eLc9stvGOHvC1lx44j3C2cwZwGgcOEELPsN4snhPgb5GPwAOBKyfYCwG0m+1oNYLWkfCeAMZLy426PwRhjqcTjpVgyvE7m7OVycZMny5NsmJWzzOB0dvCrRDQ2pTVhjLEz2LJlNSgpWYOFC7egpGQNli2rSXeVWA9SVRVCYeEqzJixAYWFq1BVFUp6n14uF1dcPABLl46LK1u6dBx/2clwjpaNI6J9AEYC+BDR7mBCtFHtK6mtXmbgZeMYY8kIhY6jpGSNoXzfvkX8R5LZCoebUVi4Ci0tHbGyQCAXjY2LPWkR5NnBZx6ny8Y57Q6+Ksn6MMZY1uLxUiwZXo7dS7Xi4gF8T/cgjrqDlVVDhgO4Qvl/s9PnMsZYtuPxUiwZXo7d00tFNzPrOZymiLkHwI8A/FgpygPwh1RVijHGziQ8Xoolw8uxe1pepohhPZPT7uD5iC75pq4D/BERnZWyWjHG2BlmxYpS3Hrr+IwbL+X1jFOWmmtaXl6M0tJCT/fbk7qZk8H3uDmnQWBECCGISAAAEblaN5gxxljmjZfycrUIFpXKaxoMFngaxBQV9YubbAIAra0dnnQzZwq+x605Hde3nogeA3A2Ed0MoAbA46mrFmOMsVTirkDv9cRrqs8Q4iRjSE/RE1+P7uZ0YsgDAJ5BdA3gLwO4WwixIpUVY4wxljpqV6CW2hWYbuFwM+rqjvS4P9aZfE1lGhqaUFCQF1cWCORlbH3d6mmvRzo46g4mojsBbBBCbEtxfRhjjHWDVM44TUZP7r7L1GtqpqfV160z/fy84LQ7uC+AaiL6KxHdRkSDU1kpxhhjqZWqGafJ6Ondd5l4Ta30tPq6FQwWoKIiflXZiooxZ8z5ecHRiiGxjYm+AuB6AP8C4JAQojRVFcskvGIIY+xMlUkzJ+vqjmDGjA1oaorEyvr29aOm5lpMmtRzcipm0jV1oqfV16lUr7SSybxeMUT1CYCPARwHMCiRijHGGMscXs84TcaZ0n2XSdfUiZ5WX6eyJQVOMpwmi15CRK8AeAnAQAA3Z8u6wYwxxrqHWfckgB45UaSnCIWOY+3atxEKHbfdtidN2jlTvlSkktOWwEIA/yqE2Ct7kIj6CyFOeFctxpgTZ2o3Dste+qTINTWNKCxc1SMnivQEy5bVYOXK03/aly4dhxUr5CO9etqkHXVMoPb8eExgPFdjAk13QrRbCHGxB/XJSDwmkGWinvaBzJhb2TymqzuEQsdRUrLGUL5v3yJDUvOe+Fr0xDp7xemYQKezg22P59F+GGMO9PRZlCx7JNN9yHneUmvHjiOOy3via9ET69zdvAoCz5wU44z1APzhxnqCqqoQCgtXYcaMDSgsXIWqqpCr5/OYrtQaMCDguLwnvhbZsCxesrwKAhlj3agnfiCz7OJFa/WZnscu3Y4fb3Fc3lNfizN5WTwvuE0RY4a7gxnrRuoHckVFNfLyctDe3tUjPpBZ9vAqPYd+ogjf496ZPFmee9GsvKe9FuqyeNq8k+qyeJle9+5iGwQSUQ6AN4UQYyw2u9K7KjGWWTJ1Bm6mfSB7dZ0y8XpnYp0ynZet1bI8dvyaJK+4eACWLh1nmB2snxSi1V05BUOh49ix4wgmTx5iWR8r3GNiz7Y7WAjRBeANIhphsc2nntaKsQyR7JimVAsGCzBp0pC0/xH06jpl4vXOxDr1BKnsPuTXxDuXXjoU+fk+BAK5yM/34dJLh6a7Sli2rAYlJWuwcOEWlJSswbJlNQntp6d2YXcnRyliiOhlAJMA7ABwSi0XQnw9dVXLHJwiJjtlc3oBN7y6Tpl4vUOh4xg//km0tXVmTJ16Gq9b7DLxPumpMvFauklb41Q2thp7vWzcvUnWh7Eeh5cccsar65Rp17uqKoRFi7bEBYDprlNP5HX3YabdJz1ZJl5Lq7Q12iDQTWB3pi6L5wVHs4OFEH8G8C6As5SfkFLG2BmLx5M449V1yqTrrc5s1QeA6awTi8qk+6Sny8Rr6WSyCg8H8I7TtYOvQ7Qr+FoA1wH4OxFdk8qKMZZuPJ7EGa+uUyZdb1keRgDo1cvH90CaZdJ90tNl4rVUJ6toaSercKJ8bzkdE/gGgBlCiE+U34MAaoQQF9k8bzWA2QA+UWcXE9H/BXAzgLCy2U+EEJuVx34MoAJAJ4DbhRDVSvksAL8D4APwX0KIXynl5wFYB+AcALsBfEcIESGiXgCeBDABwHEA1wshGqyOYYXHBGa3bBxPkogzaXawbKxUr14+7NlzY8Ljkpi3MuE+OVN4MRNX5dXrYlanurojmDFjQ1zal759/aipuRaTJslbEbOR18vG5agBoOK4w+c+AWCWpPwhIcQ45UcNAEsA3ADgQuU5DxORj4h8AP4TwFUASgCUK9sCwK+VfY0CcALR4A7KvyeEECMBPKRsZ3oMJxeAxUtmKaieJlNm4GY6r65TJlxvfQtJfr4PP/vZFAwcKF9hgXU//X2STZ9Jqu3bD+Oee7Zj+/bDCe+jqiqEcePW4uabt2LcuLVJda1WVYUwYsRjmD79aYwY8VhS+xo4MICSkgGG91wiXdjZeG845TQI3EJE1US0kIgWAvgjgM12TxJC/AWA0/QxcwGsE0K0CSE+BFAPYLLyUy+E+EAIEUG05W8uERGAKwA8ozx/LYB5mn2tVf7/DIArle3NjsFc4PEYLBuUlxejsXExfvCDiSAiPPBAHd/vGSobP5PKytZj2rQqLF/+GqZNq8LMmetd7yMcbsY3v/lHRCJdaG/vQiTShW9+848JBUvhcDMWLNiM1tZOnDrVgdbWTtx442Zs3fqh6/1ZvZ5uu7Cz8d5ww+nEkB8AWAXgKwAuArBKCPGjJI67lIjeJKLVRNRfKRsK4KBmm0NKmVn5AACfCSE6dOVx+1Ieb1K2N9sXc4jHY7Bsc//9O/h+z2DZ+Jm0ffthbNt2IK5s69YDrlsE//CHfa7KrezZcxTt7fHDyzo6BObP3+gq+HLyeqpf0GpqrkVj42KUlxe72lcigemZyvHawUKIZ4UQ3xdC3CmEeC6JYz4C4HwA4wAcAfCgUi5bek4kUJ7IvgyIaDER7SSineFwWLZJVpINmFdTCjB2psmG+z0Tu8rc1MnJa5SJ55iMrVsbXJWb2bXrqKvyRDQ3d7gKzJ2+55wMG5Htq6WlA1//+vOOuqvPtPtGxjIIJKIviOhzyc8XRPR5IgcUQhwVQnQqK5E8jtPdsYcADNdsOgzARxblxwCcTUS5uvK4fSmP90O0W9psX7J6rhJCTBRCTAwGg4mc6hkpE1MKMJYqZ/r9noldZW7rZPcaZeI5JqusrMhVuZkbbrjAVbmV8eMHS2fUq5x+eSoq6hc3IQsAWls7EnrPye4NAGhr64x1V5sFeGfifSNjGQQKIc4SQvSV/JwlhOibyAGJSDt9Zz6At5X/vwDgBiLqpcz6HYVoWpo6AKOI6Dwi8iM6seMFEZ3WXAtATVWzAMBGzb4WKP+/BsDLyvZmx2AOZWJKAcZS5Uy+3zOxGzWROlm9Rpl4jl6YOnUoysriV3ItKxuBqVPdjW6aPft8jB0bPxt47NgBmD37fNd1CgYL8MQTVyEQyEVBgXEdCjdfnvRZS5xkMTGrk3pvBALGOnV0CNTWHjCUn6n3jYzTFUMAAEQ0CEC++rsQwnj14revAnA5gIFEdAjAPQAuJ6JxiHbDNgC4RdnXO0S0HsA+AB0AbhNCdCr7WQqgGtEUMauFEO8oh/gRgHVE9AsAewBUKuWVAH5PRPWItgDeYHcM5lx5eTFKSws5PQPLCmfq/Z6Jq0UkWiez1ygTz9Er1dXXYfv2w9i6tQFlZUWuA0DVm28uwqZN+/H88/WYN29kQgGgSvs67N59FHfe+Qry8nLQ3t7l+MtTQ0MTCgry4lLABAJ5Cb9map1+/esdePBBY6q3o0eNgd2ZfN/oOQoCiejriI7dOxfAJwAKAYQQTbViSghRLimulJSp2/8SwC8l5ZshmY0shPgAktm9QohWRBNbOz4Gc4eX4WHZpKfe71Y52zKxqzuZOsleIy/P0ctcel6ZOnVowsGf9t645JIhGDy4wNF1cZoH8BvfGI1vfGO06y9PqbovJ0/+krS8tLTQcR369PGjru7IGfVl0OnEkPsATAHwnhDiPABXAtiesloxxhhLit2Ypkzs6tbWqXfvvKTr5NU5LltWg5KSNVi4cAtKStZg2bKahOqTKbT3xtChj2DYsEcdjX2zu6f0j9fUNLrO+en1fanWafHircjNjZ8bql2JxK4OFRVjMGHC78+4MYJOVwzZKYSYqKwcMl4I0UVEO4QQWZFjj1cMYYz1JLIVTwKBXDQ2Ljb8Mc20lTeqqkK46aYt8PkInZ0Cq1fPMk0B4lQy5xgKHUdJyRpD+b59izKmRdAN2b2hZXWfWN1Tbu45p/VM9r6U1Sk/34ff/OZrKC0ttH391Dr06ePHhAm/9+zcuoPXK4Z8RkR9APwVwFNE9DtEx9QxxhjLMD01tY06IF+bcNiLAfnJrEKzY8cRV+V2vEw7ksiKIWbrYqvM7hO7e8rrey6Z1ywUOo61a99Gbe0BQ538fh+mTHHWpa/W4eTJSI98PznhdGLIXwCcDeAOAN9GNOXK8lRVijHGWOKcjquqqgqhoqIafn8OIpHo4P1kW92S0dDQhNZWY3qQdA7InzxZvh6tWbkVL693Wdn6WMLo5ctfQ1nZCFRXX2f7PLO0KSqz8Xd291SmjDFdtqwGK1fujf2ekxPfBZxIuplMObdUcNoSSIjOzn0FQB8ATwshjqeqUowxxhLnZFxVJqbB2LnzY+hHKAkRLe/pvLzeyawYor838vIIfn+O7fg7u3sqE8aYhkLH4wJAAOjqSj7dTCacW6o4agkUQtwL4F4i+gqA6wH8mYgOCSFKU1o7xhhjCbFLbZOJaTC2bGkwLV+yZHzKjms1/syqO9jNmEAvr7fViiFOZgvr7w21fnbj7+zuqXSnU3LSRZ9oupl0n1uqOF42TvEJgI8BHAcwyPvqMMa8ZokHAAAgAElEQVRYemzatB/f/W41Nm3a78n+ZGO/khkPlshzrcZVdXcXl5P6T516rqtyL45rN+PVq+5gL6+3FyuGaO+N9947gU2bPsB7751w9bxEHk+Uk/vHyWuSzD2eqnNLJ0dBIBEtIaJXALwEYCCAm4UQX0llxRhjPUumr7OpDhYPhYwjWcaOXYM5c55DZeVbmDPnOXzlK8bZoG7IAotklqFKxRJW3dnF5bT+gwf3dlWe7HGddNEWFw/A0qXj4p5nllrESjBYgMsuiw9mL7vs3ISut1crhkSftx7TplVh+fLXMG1aFWbOXO96H6nm9P6RvVbDhsXfO4le8zOV0xQxvwKwTgix13bjMxCniGHMWqZNMNDTDxZfunQcVqyIjmbZtGk/5sx5zvCcF1+cn9DqCWZpKYgooRQTXqfekO0/lV1cburv5Wvh5Lh1dUcwY8aGuNUp+vb1o6bmWkyaFN+qlGyy6FSkmkl2xZDt2w9j2rQqQ/nf/laecBJqryVy/6uv1YABAen91FPT+7jhaYoYIcRd2RoAMsasJTvgPdUtiLLB4itX7o21CD7/fL30eWbldmSpMnw+MsxStEsxoV6XPXuOpjQ9Raq7uNykDjl+vMVQZlWe7HHddNEWFw/AggVjEg4evE41A0RbBO+9d6qrgE3bIv7UU+9ItzErB+zfr169n5O5/9XX6sMP5dvU1DR6Xt+eytXawYwxppfMgPfuaEG0G9g/b95IVFa+ZXh83ryRCR1PFlh0dgpQfAxoOTZJe13a2joNMxx7UnoKN4GWl+lYrI6rbf2srJyJiopq12vcuuXluSVK3yI+YYJ8aH///vnScrv3q1fvZ6/u/8GD5a+jWp7pPRjdwe3EEMYYi5PogPfuSlFi98d39uzzMXZsfOvO2LEDEuoKBuRj7VavnuV4/J3+urS2dkII0WPTU7gZe+jV+Dv1uNOmGcfg1dQ0xo0vA4DGxsWoqbkWjY2LUxYEDBwYMCxblptLGDgwkJLj6claxHft+kS67dVXG+99u/erV+9nL+//6dNHSK/59OkjEqrvmdhqyC2BjLGkqH/k3bammHXneJ2iRA0s9GMCtYHFm28uwqZN+/H88/WYN29kwgGgyiydhJMUE7KW1UAgDxs2zEH//vk9Mj2Fm/QaK1aU4tZbxyc1/g6IBj2yXHp/+cthtLZ2xq5vRUU1GhsXG8YAeq2hoQm9e+fFjT8sKEgsXUkizFrEiRCXmzE3l6Qriti1+HuVAsfL+z8YLMCTT16Nm27aAiKCENFlCIPBAtTVHXFV3zO11ZCDQMZ6oExb7zWRHFp9+vgN65e2tHQgEulCXd0RT8/NSWAxe/b5psFfItc7GCwwbCsr0zNrWR0/frDjY7upb7KTC9zUxS7QUrfdufNjbNnSgNzcHM/H4OklmxvR6bVORUoe/RcXq7qMHNlfuo9ol+vpeuXl+WJ10k6G6a4VQ7y+/8vLi/HZZ62oqnoX5eUXxAI3s+NEIl1Yu/btuM8Jbauh9stDaWlhRnz+JoODQMZ6mDPlG+nJkxEEAj60tHTGyvLyCFdeuR75+T7Pz624eEBCAUV3X+9EW1YTqW+iS4+Z0c+gdVMXdVvtF4MXXtiPH//4zzhwYInrujgda5dMIObm/JJ9XfXGjl2Dt9+OTm6qrHwLw4b1xvHjbdK66OupUrveta3kFRVjEAwWSGfUW9U/kfOTBa1qN762FddNWhf9uebn5+DEiWjr61//ehj/9m+v48CBJQgGC1BRMSbuHEeO7Bc3W1rNIpCJidW94ihFTLbjFDEsU6Q6XUiiEgmUZOeil+5zS+f1TqT10U19vU4Pog8abrppDKqq3nVUF7t74Q9/uBrf+lZJ0nVaunQcLr10qCFQSSSoT/Te8KIV3yyVjpZaFwCGevr9OXj55esxenR/DBv2aFxgqD4muzf27VuEgQMDlvV3en5mnxnJpNJx8pkCRO+nsrIiR9uq55yJn7tWPE0Rw1g2s0oy3N3cpNvoLokOCNdPGOjVy4dAwBe3TbrPLZ3X2y51i2yQupv6Wi095pZs0sHq1W8jR/cXxqwusnprrV//D9d1AqLDAPbtW4QnnpiFffsWYcWKUpSXF8cmgmzbdi0ikc6E3tvpvDfWrXvXdhu1LrJ65ufn4tSpCNatCxm6RCORLjz33HvSfe7YccT0vlTvx/feO4F9+47j2DFjWh91m1DouOlnhjZ9i5ZZuZbdfaT6wx/2Od5WPedkE6tn0t8RLe4OZsyCVZLhdOjupb6cSKarRDuWsE8fPyZM+H3c4+k+t0y83oB5K4qb+paVFWH58tek5W6Zjb9zWhdZvbWuu+7Lruukkg0DCAYLsHz5q0m9txO5N7waWjBhwiA89ZT1qjHauujr2dragblznzfkrlRdcME50nKzLnb1vDo6OtHefrp3UXtNtefe2tpp+gXBLq2LFbv7SHXppec63lY952TWDs60vyNa3BLImAm7JMPp0J1LfTmVbKCktiwUFw/IuHPLxOtt1fLqpr5eLj1mFhzcf/80R3VR652f75PsBbj44sGu62TFi/e223vDy5RIs2b9k7Q8P99nqIusnkIItLZ2orlZ3hVaXDzQEKTl5ECazkZ7XtoAEDh9TfXn3tbWGTcWGDj9mWGV1sWOsXdBHuJccUWh9Lro3w/6LAKJJFbPxL8jWtwSyJgJuyTD6ZLMN9JU8HLAe6adWybWya7l1U19q6uv82R2sFkanv/zfyZjwYIxjupSXl6MY8dacPvtLxse8/o959V728219nJygWxSVX6+Dxs3zpOmUdHW88SJVlx33YtxqWq0AoFc1NefwFln+eO26dPHL62r7Ly0duw4gpKSAZK0L7no6hLo1ctn+MwwS+vihPZcX3/9I9x+e61hm/r6E5g6daj09Ut2eUDZ+ZuVZ8LSdRwEMmYiEzL89xReBkr6NCqZkA7HSWoXPVm9vTgXJy2vbup7zjn5+Kd/6odzzpGvEuGUWRoeN3Uxa/EzS29ixepaJ/LeNguWtedndUwvhxZEnxPfWkZElmlU1HqGw8223aCTJw/xrCt/8uQhGDgwIN1mz54bcfJkRBq0jhjRN+EvJ+q59unjN62TfltVolkEzGT63xHuDmbMhJerF3ipqiqEESMew/TpT2PEiMdQVWU9Nqi7JNJVIqMdQF1VFYpb3SFTztWOrN5enYuXXdTLltWgpGQNFi7cgpKSNVi2rCahOqmSXV/XbKC+kwH8WnbX2u17u6xsPaZNq8Ly5a9h2rQqzJy53vUxvXzdktmX/rl6I0f2czU0Q7u/vLz4wFS9pmb1LS4eIP3MWLasJu56J3pfZsJneCbUwQqniHGAU8RkN6+7B5IRDjdj6NBH4sbe5OURDh9ekvZuykSvk7b1RD9YPzeX0NFx+lwzPS0DIE9TkZ/vAxF5mmIi2VbFZFJxpMojj+zBrbe+ZCh/+OErsWTJeEf7cJO6xck96ySVjptjetmyncy+wuFmbNz4Pm6+eZvhMfXc3Oxf3TYS6UJ9/QnpNXWyv1Tcl5nwGd7ddXCaIoa7gxmz4XX3QDL27DlqGHzd3i6wZ89RlJWdl6ZaJT77Tb9QfGtr/GBxbQAIpC9Bq5s/hrIxUj4fQd99l+y5OOlmtap3Jo5V2rKlwbTcaRDoZuydk/e2VSodNQh0c8xjx1qwb99x9Onjj3XPJhrIJTJMQfvcgwdPSh9Tz83N/rXbmnXfOtmfVYqYRO9Lrz7Dk3mtMunviBZ3BzPGkpLo7DfZQvF20pGexW03rmyMVGenQFeXPnhP7bnY1TsTxyqZpYJxkyLG67Q+ZilztOVOj6nvfi8rW5/W4Q5Ozq27JZMixkv6PJw9dWiKHQ4CGetBxo8fbBgf5ffnYPx4b1NouGHVomTFabJWWdqL7pJIWg/Z+KfVq2d1a6oZJ/XOxLFKZWVFIF3qOiJ3QYnXaX2cpNJxckzZl6Vt2w54kjImUVOnDsWwYb3jyoYP752SNaSdSiZFjFf0Ad9jj73hWXqfTMPdwYz1IMFgAZ544ipUVFQjJ4fQ1SXSnrfObOam3YxOWeuJfgzg0qXjcPfdl6ZtdnCiaT3MZkt3V6oZp/U2m9GbLg0NTejbNz41yVlnyVOTWPE6rY+TVDp2x7T7UgR0/3CHUOg4Dh06FVd28OAphELH03YvBIMFSaWISZb2C5T6/rnjjpdNV4fJ5PHJTqQ0CCSi1QBmA/hECDFGKTsHwNMAigA0ALhOCHGCiAjA7wBcDaAZwEIhxG7lOQsA/EzZ7S+EEGuV8gkAngAQALAZwB1CCJHIMRjrKTItb53fn4O8PDJMVrFr5TPLLzhu3CBpmpF0SKZrUTb+KZkxXG64qXcmjVXysivX62s9depQ2xYyq2M66WZPxRCB7h4X6sXEF68/49xMypB9gfL7fYhE5Mmte7pUdwc/AWCWruwuAC8JIUYBeEn5HQCuAjBK+VkM4BEgFjTeA+ASAJMB3ENEahPDI8q26vNmJXIMxnoar9KxeKGoqB9yc+NXesjN9Tn6gNSu49rYuBjl5cVJpxnxklU3n2ztXq84WWd0+/bDuOee7di+/bCrenvJ62sQDBagomJMXFlFxZiUdps7rX8i56p9jqz7vaxshKvXSF8HuzrZjWNLtBXfTFVVCMOHP4rLLluH4cMfTfm4ObPz15bbpUFS32vbtx9GXd0R9OnjN3wR6ejownnn9Y0rGznSOjhN5eeDl1KeIoaIigBs0rQE/gPA5UKII0Q0BMArQogvE9Fjyv+rtNupP0KIW5TyxwC8ovzUCiEuUMrL1e3cHkMIYdlOzyliGLOWyWtjekHfuuHVGrAyTq5lWdl6bNt2QPP7CFRXX2dbby+l4hqEw80YMuRhdGoaXXw+4MiRW9Na/0TO1ew5+lYpp6+Rfn8VFWNQWfm2aZ2cpK156KE6fP/7fzYc67e//RruvHOS5fnphcPNGDz4YWhDCiLg6FH3r52T6222jV3GAeB0uhn9ey0vj5Cb64tdW7WH4oc/nIx7733VsB9tmiC39U81pyli0jExZLAadCn/DlLKhwI4qNnukFJmVX5IUp7IMQyIaDER7SSineFw2NUJMpZNwuFmPPbYG3Fljz32Rtq/AXv5TVzb8urlGrB6TmZab99+OC4ABICtWw+YtgjatRjbtTrKHk/VNaitPRAXAAJAZ2e0PFHJ1t9uW9l9ZvWcgQMDKCkZEFuH18lrJNvfypV7Lesvm3iljmNTbdxYLz2eWbmVjRvfh75NSYhouRtOXhuzbUKh444yDnz/+y9J32vt7QItLR2orHwbu3Z9J9ZDcfJkm3Q/zz33XkL1zySZNDuYJGUigfJEjmEsFGKVEGKiEGJiMBi02S1j2csqd2G6pDKdg5M/rolyMtPaKm+dW3ZdZWaPp+oa1NefcFVux239a2sPGALGhoYmdHbqU/50oaGhyfQ+M9v/Y4+9kdB96XQmvfb6Oxlf6ffHD+OwK7fy7rvy18is3ExDQxM6OvT5Qjvjzs3s+u7YccTRddq795jlRJ28vBycPBmJBecXXHCOdDtZeSo/H1IhHUHgUaWLFsq/nyjlhwAM12w3DMBHNuXDJOWJHIMxdoZI9Tdxr/PQaTU3t9uWe5Xbza7V0erxVF2DQYN6uyq34rb+J09GcP31mwwBYyTSZdg2EunC0aPm95nZ9fnlL19P6L60W58XAFpaOuLWynUyLnTKFPlkFbNyK5dfPtxVuZlIpEv6pVJ7/mbXV7bmsczIkX0tJ+ro7+VAIE+6naw8lZ8PqZCOIPAFAAuU/y8AsFFTfiNFTQHQpHTlVgMoI6L+yoSQMgDVymNfENEUZdbvjbp9uTkGYz1SJgw+9jp3YbLnlOpv4qmcdLFr1ye25U7y1jlh1+po9XiqroFsLVurcitm9f/d73YZ6t+rVw66dLGDGjCatULW1X1smTZEf31+8pNLDDkQhRCO7ktjfX2GdXrz8304eTISVyabeKX10Ufy95hZuRUnX2CccNIabLUWsdW6yKqmpnbpRJ3cXJLey7W1B/W7MC3vrklZXkl1ipgqRCd2DCSiQ4jO8v0VgPVEVAHgAIBrlc03I5q6pR7R9C2LAEAI8SkR3QegTtluuRDiU+X/S3A6RcyflB+4PQZjPc2mTfvx4IN12L79EAoK/GkbfAwkn7tQOzC+pqYx6QHVqfgmrh+8n6o0PfPmjURl5VvSci0neevs2K0YYvd4eXmxIZ2Pk0kOVtucfXYv6XPMyq2Y1X/t2ndw333T4l7D11//CLffXmvYdseOI6YzZSdN+pLpfRYKHUck0olt266F35+DoqJ+OHasBT//+fa47VtbO+Na77Ss7rlIpAtXXrkewOluUyKS3uNWaWuc3m9OmAVv69e/i7Fjg45n+ztdycbsPai9L7dubcB///e7hn1dfvlwhMPNuPHGC3HDDcWorz+BkSP7x14r/fVye50yLY2XlZQGgUKIcpOHrpRsKwDcZrKf1QBWS8p3AhgjKT/u9hiM9RRjx67B22+fHrOkJtatqKhGaWlhWj5wZAGBE/qZfF1d0W4fNUdXIudkln8w0etiNtMvFTn/Zs8+H/37+3HixOkWnXPO8WP27PMN2zrJW6eSBV7FxQMwY8YIwyxj9bVTW0r0M5XVx2WzVf/rv96Cz0fo7Iwm+HU6o1PVu7c8IDIrt1JcPADXXjsaGzbED973+32x1jr1xywQmzx5CE6ejIAIhlmvgwfL77Ply1+Vzu5uaGiS7ufgwc9x8mQk7rWxuufUL0pduqbLRFLpyO4rInm5HbNg+dln6/Hss/WOMwYUFw9AWdkIbN0qvy/tVFWFsGjRn0BEhmukuvDCgSgsXBV3fWXvJfV9c/75Z0v3c8kl5l3K3ZUTNFkpTxFzJuAUMSxTbNq0H3PmPCd9rG9fP2pqrsWkSd2/9mv0g3dL7Pc1a4wBgJ4shYVebi7h1Ve/mdA5eZEexUmaDS+FQsdRUrLGUK6mtEiEWUARDjdj6NBHDEm+Dx9eYljuTB/cO3nt9Ptyci2vv34j1q83zia97rpRePrpuY7OV/u6A8CIEY/FzRI1e/3MUvNs334Y06ZVGY6jpgfRHu/YsRbT12///s+k712/34dAwBd7bUpLC02vEwDT6y577ew88sge3HrrS4byhx++EkuWjHe8H8D83tVych87TRMku69LSwvxpS89bOja1/P5ELd/2T2h3X9zcwfa2407ffzxGfjudy8y1D8TWgAzOUUMYyxBzz9vnrohXYOPw+FmfPvbm9HW1hn7+fa3N9uO6XMy47GjQzga6C3jRULt7p7pl+g6zGasJsk4ndUtS97t5LXT78vJtXz9dfl5mpXr6Wfr1tQ0YvXqWY7GZ61YUYp9+xbhiSdmYd++RbFWq2ee+Yf0WGq59j6zev3q6j6WPhaJdMa9Nnv2HDW9TlbXPZEZ+T/96V9clVt56y37VGpO7mMnaYLM7uuNG9+3DQDV/Wnp70P9/mUBIAC8++6ncb+nMitBqvDawYwlIF3f9szGpuTlIW2DjzdurEdXV3ww0dUlsHFjPebOHWl6nZzMeASiY40SGfOmtmANGBDA8eMthnFrffr4Dd1wel6PL7S7b5yOh3LKbA3hPXuOYudOecDw2WfynGhaTl87u+for6XPJ8viBRDZ91jJ1nytqKhGY+NiNDYuTvj9evDgF47LrV6/kSP7Y/ny12yPd+DAF5bXKdEvRTJffCGftGFWbuXo0VO225hdH+37wmxsoXb/Zve1Pihzqr29C336+FFXdwRFRf2k+5eZP3903DnI7r9x4wbZfs6kEweBjLmUzmzws2efb1in1+cDDh/2fkUFp3bvlrdwPP30u7j99pdNr5N+7F5bWwfa2ox/4BIJgPRde6oZM0bgb3+LZoVqaelAIOADQKavobqMmXZfiS5j5uS+sRuH55Ys8Gpt7cDcuc8jx6Qhz8kkDKevnXYsn5Oxmh0d8mCvsfEUqqpClu8zs8CgoaHJUYuwWXfwwoVj8Oyzxi7qhQsNw9FtX78xYwbEjefVjxFsaenAzTdvxdixA/DWW6e3095zlZUzcdNNWwyJkIngekb+//pf52Hjxg+l5W6VlhZZPm52H2vfFy0tHYYvlLL9FxX1M3SJt7Z2YP780XjwwV2u6z5t2rmYMOH3sffmQw9NN7xv9K/V8OG9476cynoHOju7MH78k8jP96V18p4V7g5mzIV0Z4PftGm/oQuvsxP4+98T7y5MNsWMWSqGl146YHudtCksXnrp+oTroCXLD6fatu2A8k09+gekpaXTdrWIysq348oqK992fb3c3Ddm3ZKJkKWrEEKgtbUTzc3y1RT27//M8jzU+0X72v2//3e5dHt9q45dypK2NvMWKLv3WTKttlY5Bc0G/5uVm71+4XAz9u+PDxRycwm9ehkTM2sDQCD+nisvL8aGDV83PEcI4L33jK1oVu/xjz+Wt96ZtX5a+fWvX5eWX3rpENP7WP++iES6TL8I6O9L/XwGIQRGj+5vSPvihPq5oL4377yzFg89dHnsfZOf7zOshnLw4Km4pOJ9+vgNgWkk0oW2ts6MXjmEg0DGXEh3NnizMYFWYwXNeDV+5fPP5X+49V17ZtdJHVNl1g3kdjxcIuPnzOoWLTP+sXH7eru9b2Tj8PScBvDawOv55+eioECe+Fa1ZUuDtFx2v6ivXWlpofQ5bltxP/ssYvpYTg4sx7wlk5/NaixfQ0MTfLo4zeeL1sXs+jsdRxkI5GHpUvsJGPp75ZVX5Hnrnnrqnbjf7d7jO3fK81Lu3n3M9efBiy9+IC1/991PTe9jpyuhAPGfcQ0NTYb7OBDIQ0NDE1asKMWLL85HRcVY9OvnflY5EL3eF188OPa++c1vvibdrqamMXYPnDwZkQb0+v1u3Pg+7rlnu3SZx3TgIJAxF9KdDX76dHn2fbNyM162aI4aJU+foP+mbnedzFJMuA0kEuk+Nqtb9Nt9fIuZWW43q6DM6/tG/eM+ffr6uD/u+jqovwPApElDMH78YNsxZbNmFRnKZPfLokVbYi0hssS7su4/bVAyYsRj+MUvXkM43Byr5+TJ5t2Zp05Fu7GtghNZS6Pd2siA9Vi+o0ebpRMV5sz5H0NwpZ5HKHTccC8UFfWLpXNSff55BPPnjzKtl0qbf3Dt2rdNW98ff/zNuLrYvcdLSuTLoQHmLa9m13POnH+S7sesHHA3tlSbk8/q/bRsWQ3mzHkOlZVvGa63U+oYQXWcotmXnB/+8M+xe+DRR99AW5u8dV31+ecR3HzzNixf/hqmTavCzJnrE6qflzgIZMyFZFobnPwxsj9+wFW5GS9bNC+8cKC0/Ac/mOT4OlVVhTBjxgZDnRIZDycLSFRlZSMQCOQiEIgOh87P91nW7eDBz6X7eeutcNwfebsWF+1907t3XlKrCITDzVi48E9oaenAqVPtaGnpwMKFf8Jjj+2Nq8OyZTXSlrtp08613L8sJ5rsfmlr68T48U86bjHSByWtrZ34+c+3Y+jQRzF06COYMWMD/vY3+fhSVWtrJxYu/JPllxXtbF27tZFVVkHsww/vkT4nEhFxwZV6/b/2tXUoKVmDr33t6bh7wWyW8ZtvfmI49jnnxAd5I0f2w/Llr8bO5Z57XpXuq6PjdPAWTSqt757siHuPjxtnHnTLPg+sruc111wg3Y9ZOWD8PPX7c5CbK58cpL0vg8ECnH9+/BeokSOjKXrMhoJYycmJP+Zll0XHCKrvnb/85aBhtRcgej+q98Dq1W8bN9DIkzTAb916IO0tgpwn0AHOE8j03M4ONht07tb69e/i+us3Gcqffno2rrvO/MNWz8v8d+FwM4YNezTum7nfn4NDh74HAI5WkNDXxe/PwcsvX5/QrGCVF7ODH3qoDt///p8N5bm50UkP6iDyO++stb2W2iS2QgisWXNVQoPEt279EDNnPmso79XLZ9kSEQjkYtu2a6U577Sqq/8FZWXxEwOs8gJa7VebF66u7ghmzNiQcOuMXR31Esm5KMuJ+KUvPYyjR61byNVuQNn1V++FCRPW4uBB4xi84cN748CBJbFj5+bm4Nvf3mx5PCtqvtCjR5uleQlffHF+LBl0IPBbtLbKW+L097Dd9SwrWx+XeFw1Y8YIbN16nWWdtZ+nP/vZX7BqlTGguuOO8fj3f4+uAWGWu/EnP5mM++/fYXmsRKgTRhLVu3ce5s07H089ZVy95O67v4p7752aTPWkOE8gYx6RdfO5yUFnNejcLa+W1fJyfUt12bhevXLQq5cPvXrl4IknroplzLe7TrJWJp8vB4cPux+crqWOy5o9+/y48VlqnYqLB9jW7fDhk9Lyjg7EWgBuv/0lQ+uFLO/YggWb0dbWhdbWTrS1dWHBAvtcim6YpVdR5eQQnnpqn+1+9KtzqH+gH3rocumYJyGE6X61Y+0SSSuTDLNxfuvWvWt63WVj+To6rLv4gGjwZ9aClZeXg9raAzhxQp56Rx1uoB57zx75OD2nIpFOnDjRis2b5WP01HyF4XCzaQAIAD/5ySVxv9vlsDR7ba1ec/1whWCwAB99JJ+sop0YsnVrg3SbDz4wn9SUDLv3lp2Oji7TL7RlZUVJ7TtZHAQyZsGLyRNeJgA2SwHhNjUEYD9T041XXz2MtrYuJVl0F1591XkXhyw4aGnpwPXXbzLtvusul18+wnabSKQLJ0/GT47Rj/dzmpjZCbPX2q5T59Spdjz++Bu2+9em/NHe/3fe+Qp+8YtphkCwtbUTjzwi3692rJ36xSM/33rwvJ28PML48YNtJ8aYjTF94IEdrt7LI0fKx7xq5ef7TGe1njoVwfXXb8LJk/LVVZYsOb3iRFVVCCtX7nZULzNdXQLz5j1v+pqUlRXFXlcrDzxQF3ed7HJYfv3r8nV0zcrNPltLSuTDS7TlZoHTunXvScv1rrxyRNwX4Lw86yDP7L2l3cfSpeNiv+flEbMUSpwAACAASURBVPz+nNi93tXVhVtvfcmQlqmsbERSvR1e4CCQMRNeTZ4YMEA+Xs+s3MqxY/LspWbldrxYVSPZlk6r4CDRFtNEyIKKjz+WtwTqCRENBMxaVc0SMDtJzKz3q1/JU3FMnz5M+kdJq8N8lbcYtQVWdv/fffd2/O530+H3O2sZ+fTT1rjfy8uLceDALbjvvqm6cWD2++rdOxf5+T6sXXs1amoabb+cmX3Jam62Tguk52TIFBHhd7+bjkAgN3Yfq//XTyrRO3Uq+gVCvd6yfItlZSMcpz6Jrr0tP2hZ2QiMHt0/9rpa0X/m2U3+GTxY/hkiK7f6bO3XT96roS0fPbq/YRyfG6NG9Yv7Arx27dWmAV0gkIsrrpB/GVywoDi2jxUrSmP7PHx4CfbuXRALHtUvgOpqJrm5OXjxxfmorrbuJu8OnCyaMRNWyWfdBE3Hj8sDNLNyK1atiokmFLZjN/4x0Tpt334YW7c2oKysCOXlxTh2rAW33/6y6/2Y7XP06P6Ox22aJXJ+91152hqZ3/zmnzFlyrnS43nVjQ8Azzwjb+14++1jhpUx5sw5H9/4xkacOhU/XrGjo9PQMql6551o0G12/4fDzRCCoE+dI/Pcc+8ZWjqCwQL87GdfxS23XBSr6549R/GNb7wQC4j0cnOB2trrY62r6vhEq5UZdu2ybmV1+l5+/33zyVJ+fw58vhw89NDluPjiwdi16zs4eTISG2/6+usf4fbbay33//TT/8CDD14hvd69evmwcuUVsfVpb711PHbsOIKKii22waW+nv/5n1fiu9+9CHV1RxythqFSUyIFgwVYsaI0VgftuEkAqK2Vp62prT2Ib32rJK7M6rN10CD5l+NAwBe3osdZZ+UlPL60quofuP3208PlysuLMWJEX2zd2oBJk76EwYMLcOut42P308SJT0r3s3nzh3jkkZmxL5BFRf1i65w3NDQhP18+TregINc0aO5uHAQyZsKrtB5eLgVm1nqYm5uaRn0nq1wkcn7aQeTLl7+GsrIRsUHfbvZjtc+cHMJZZ+XZZuo3W+6ptLQQl18+HA8+6GxSWGlpkWmwqh9nZ1du5ZprRuO3vzV2GV5zzejYOEzV+PGDpWupvvHGQvzkJ3/B88/vNzw2ZEgfAPL7PxLpxP337zBdS1XvgguMKUi0ky/UP5jRepoHlR0dQH39Z5g0aYg0iBFCGFZmuOGGC/DUU+Zdvtr3stUXnWHD+piO54tEunDPPZfgzjtfkb5HZKmE9C6/fBgA+fXOySHMnXs6hUxx8QAUFw/Ab3+7E2++ecx23yqfLye2H7djM/UpkdQ66J17rjyokZUfPdoc98UEOP16nDjRatgeAO66668IBHKVyViXo7nZ/dJ2qqamCEpK1sRayi+77Fxs3Xp6UkteHiE314fKypmYNGkIpk8fjrVrjffSNdeMNv2MLCrqZ1rHdK3zLsPdwSwhXqw0kenH9mryhNMcak7U1DRIy2+8cbPni5U77Q6PzgyM7y4pKxthen7btx82zCLcuvUA9u//zJCGgQgYONAY+OrvgU2b9hv22dUlHHXjW6XLMUtk+/Wvx+c+s3s9//xneSuJWbmMes5qq5DeXXdNMZSZ3cMDBwbQJYsOATQ3R2KD9fXP/elPpzhO7gsgLoABzFOMqPW08q1v/RHbtx/G668fMbSuRCfbxK/McMklQzB8eG/DfvTvZbtxvxdcIB9bqPq3f/u7q/yJekuWXBx3DbSrVOgnZ6iuuUaeW3D27PNik7MAKOPdgOLic2KTKbTHceqtt8K223zwgbzFVFseCh3HmDFrMGfOc+joiN5/Ph/FXg8AOHBAnpYpEumKXeN//ddaAPEfFol0D6urB2kDQCDafdvS0oHvfGczZs9+VhoAAsA3vvFly89IkuSVSWYSXipwEMhc82qliZ5wbK8mT1x66dBYTrr8fB8uvTSxwcBmS3p1ddkvq+WW01yC4XAzXn45Pph5+eWDpnUxm9lXVfWuYQC2EMZVIvT3wLJlNZg/f6PluXR2dpnmQCwq6mfohmxubkdRUT/TMXvf+laJq6XdzLo5zcr1tOc8fvyThoHs+fk+0/PT38NAtDt10ybjmrEA8NRT/4hdWwBxz73llosMrUh+f3R8k/6PsP53u7Gjdu8tIYBp06pw++0vo7U1Ohu3b18/evXyGQKavLwc7NlzVJqS5dZbx8Xey06+6MiWYos///ixrPr8ieoycl/7mvw9v2rVXsNSfD/4QbSr8le/kk9ieeklYyoWANi06UPk5uagqwu4556v4qyz8tDeDuze/Qm+/e3NGDHiEQCn7wmn7FLkAMCECfIJS++9dwKbNu2PfQFQhxuoOjsF1q+fAyB6Xy5dahwSoufzkeG69+mTh8cfL0NenndhTWenwB//KH+fANHhDmafkQ0NTYb7snfvXDz//NyMWj+Yg0DmSjrXzvXy2G5aE5OdPKHWu7U1OiC9tbUz4XpPny7PXA8kluzZi1UuamsPGGZGdnQI1NbK/1CZzez78pflLS7aQEx2D6xcuTfWqmAmEukynIt67u+9d0Ja/2PHWuJmymrt3v2xo6XdVOed19dVub6e2nNuazOO5zNbxUSl3sMAYvsyaQgEgLhWrWPHWmLjsADEJvGoEzV+/vOv4uOPTxm6c7u64u8Bs7Gjzz33Pp56ah8mTJCPuzLT0SHw+ONl2LPnRsNjbW2dePnlRunzHnjgdB45J190Dh+WpywBgIqKMejsNHZjt7VF3+PqyiEDBwbw+efy8WtPPhkyfKm9777X0draGZcM3OnnxalT7Whv78K9976GTz6JH/h38OCpWDofN59nZitmaA0aZGx1BYC6uqOYM+c5yyTOmzfvx6JFW9DS0mG76gYQDc7091t7ezQNy913fzU2SSvV+vXzS4dMnDjRij59jI91dSWWySGVOAhkrqRz7Vyvjt3drYkNDU3o7Iz/MLBqmbLyne+UmD7mdpyJm1UuZN3hahD16qsfSff/xhvyLqSpU4di7Nj4wGns2AGYMkU+9k87ecLNWqN62rWJted+xRVPS7ffseOI6TnIyq1WhBkxQh7smZVrye4fPZ+PcPKk/SB5t/dcW1snLrpobWxFj8LCVXj11cMgInR0CLS2duL++1/HkiXbpM/XtiCZje386U//hm9/ezN273afH6+lpQPFxQNQUTEmrlwIgQce2CV9jhAUuw5OvugQyccq9u/vx3/91yxcdpl8BZauLoFx49ZixowNGDbsERw6ZJ73Uvultrb2gCSw6IprEZ87V552xYn160+vXFJQYJ+ux+nQFbOJIU48/vibtsGf30+xz6HVq2cZVuCpqBiDCRN+jwceqAMR4Qc/mISiorMSrpMTPp8v7jMyL4/Q1SVw3XUvYsKE36OiYownuVhTiSeGMFfSuXauF8e2mgSQqjenrBVKVuaEWdeU30+GDxirwe5Or0N5eTFKSwsN+9EOhjaboWc2ticcbkZ9fXww8t57n6F3bz+I4nNyEcV/c3YyqN3nI2nrjJo3TnbuMpMnD0Ftrbw1ST+zz25FmGQmhji5Vzo7haP7KboWsoM8MRrqJBD1dda36JilIwGA8847/d5Ux8clsqyXmcmThyAcbkZlZfwKE1bXQgiBPn38sdmclZUzcdNNW2L3jf59lKNP7qbw+30IhY4bxpOp1KAmEolet3BYPuFBKy8vB/X18iEf2hbxN95IPKH01Kmng9aCglw0Nxtfv7PPzsO///uVhhnAVo4dc5ZOScZJ6qLVq6/C6NH9Y59DVVWhWPoeIQQee+wNZSxfdPv77/87vvrVwWhoMAbfF154Dn784ylJrcwCAIMGBWKfkXv2HMW8eRvR0tIRe80rK9+OzRh3urpUd+OWQOaKlytNJHJs/bfuyy4719Wx09GSqW2BclJu5amn3pGWf/ObJXHjTNSWrunT10tb+dxcB313uL570oy+G1ftdjZbh/aKK56WjgnU5kBU7z/ZyhVANKXGokVjpI+pLXSyljX933m19WPnTnmaEW25kzyJVt3KdnbvdpZQ2sn9dPJkJOGW1ETo0yCtWFGKX/7SmyWycnMJAwcGUFt7wFEuP9XUqUPj1oVVWzYBkg7kN+vG/fzzSEIJ3620t3eZJqfWtohbjVOzM3jw6W7b48flY16bmtodD3VQ7djhPvG5GytX7sa+fcdx7FhL3BCbU6eiQ2z0QyTy8nLwySfywPuddz7Fk0++bZjQpjKJ+w3UlvxgsAD9++dLP1NPnowknYs1lTgIZK55udKEG9EccMZZpW6SCaejJdPLFDH9++dLy8899/QHezjcjIUL/4SWlg7TMUXJXIc9e446mok3eXK0BU/f7bx791FpS41Z643+D215eTH27LnRsExXbi5hz54bTQeGq8GUrGWtqwt4+OErDRM9zGZQasudrAij/cOrZVauqqoK4Yc/NK5dLNPe3mkYN6Yf81lU1A8+n/XHfu/ePtMg262RI/sb6jB//mhP9l1QkIfbbqvB9ddvQmur86R527d/ZBhTqn2v6MfrDhokf88NGpSf0HvYjPqFevr0EYZgwu/PiWsRHzdukHQfF1xwNnr18uGss/ymK7N4Wef4Y1vPopbJz/fZrtahev31j2Ozym+7rcb2y0x7excuueRLpo9v3XoAd989VZnUFP+Y3XsEiH7e2PVS6NMQpSujhhUOApklsxvXi5Um3KiqClmO3dKzqncyLZmJvJEHDgwYPmRycuSpT+xcffX5tuV79hiDLP2YomPHWrBgQYnlKhcyVVUhzJ37vKNZrb1795JO5Ljzzlfw0EPTHQcasj9aAwcGTNPJXHyxfOC1Wm7WsnbHHS/D7/fFtX5MmSIf73XRRYNi94HZ8mTaeieSMFzb2uHE7be/HNfqW1UVwogRj+Gf/3kdhg17FEuWbMWxYy2orJxp+QfU7/dhzZpZyngrYxCcl0dxM3Lz833S/REBtbX2K3skqq2tAxs2OFsmTMsqHyFgbBEfPVreGjZ69ABpChizNYTNEAH33Tc19oVaXYtbO95NXYtb1b+/PMn46NHn4IUX5uGZZ+bgwIFbbFNT5eXJ62RWbmXSJPl7ZcyYAfj1ry/D/PkjY+P68vN9uOWWr2D37huxdu3VrpcS3LDhPcMYQnWZNu3nmdn7V7V1awMuuWSIZG1ggZtukvcoqPT3kdXflnRm1LDDQSAzlSk3rvrH0KylSB8k2NU70ZbMRK9HNLt9/NivPn38CXVBm/3xdtPFp6ZqePTRN9Ha2omZM4scXQe3QcnmzftNu50vvngQXnrJfsmkc87xS7ukGhqaUFAQ/5cqEMhDQ0OTaReW3fJW7e3C0AqkXxNY9cQT7ygD/h/F9OnrDOeo/2O7caMxKbNVOeB+EkxLy+nl0EKh4/jOd/6I1tZOtLZ2IhLpwqOPvomSkjV49dXD+I//uMJ0P0QUe4/8z//MNbSG5ub6sGfPjfjzn6/Hvn2L8NOfXmIIyIFoV/4vfxmfQ6+iohrPPfe+43My4/NRQmNqndC3iJt9MfL7fVi79m0UFvZFr17RAKRXrxx873sXxQUC559v3bo+deoQ/OxnXzWMxW1sXIza2uuk702z1VBeeOEDXHfdi5g3byNqahqxYkUpXnxxPioqxuLFF+djxYrSuAlMZq3miaRZOXxYPiYwHG7Bj370Vzz3XD0iEYFgMPrld926dzFhwu8BILaUYPQLhbMgesGCC+Ou8xNPXIUDB26J+1zXz47WKysrMv0s+d73LsLChReaPrery5i+Sva3JZ0ZNZzgiSFMKh0TKMzIlhhS6f/YOq23fmUFO8lcDy+7oM3+8GnLx48fjLw8ihsjk5cX7bqQjV/bsOE93HvvVNvzkL0Ofj8hEpG3rPzjHycsz7229gByc8mQnkXr008j2LRpP2bPjrZ0btq0H88/X48JEwYZgtFTp9px9Ggz3nxTPqN38+YPMHXqUEyfPsL0uD4fYfPmD3D11f+EYLDAdB3Tzk6hGw8plOcDK1ZciYkTv4RwuDl2TUeNOhvV1cb9jBolH/8FuF/ZQZWXl4PnnnvPdFmxlSv3Wra8fPppG6qqQigvL0ZZ2XmorJyJiopq5OXloL09uiKC+p4Lh5tx//07pOvdAkCnrhJCCNx9999cn5Nxv87HADrVq5cPOTmnJ1ip41fNWo7/+McPpWPzZJMBtm8/jLvuegX/v70zj4+iSPv4r2YmkxMEQ4iKCSiHBkUCQVGDLwIhKC8a2FfQqMvpiyuL17uHu/qq7+Kx98uL4IESJHhEYVdEVuTciBKRy8ghWRUVwiUGRDD3MfX+0dOdPqq6eyaTizzfz4cPSaWnu7qmuurp59y82Wq1GDFC8UtTr1dbG8D+/acMFVXMQV526U/UeTl9+hoUFJRg1aqvg/3agwEDErFnj7P7TEVF6PMuOVls2TDnGPzqK+XlV31+Z8xYi4MHZ2qlBMeO/Rt27HAOfLn//gz89KeXaWUi1fKE+nXsm2/EQTaAktA+M7MHysoqLc9ZTY2Scumuu67AkiViP2xAHPxm3lsiVX60uSBNICGkNVPB6Ckrq8SpU9XCBLWbN+dakvQq/TNuEGrty6bQlPGIZDCNmyCTpKQ4zcSi5nLLzx+LpKQ4V/5rMsRlxOSbcWysV3rvc+Z8hFtv/YetAKjy9tv7AQADBiiVBvLy9mDWrI2orTUKGA0NHDfdtAIvvbRLeJ4//Wk7CgpKkJQUh6VLxwrN0eXldbj33kazas+ezilcjH0AZs3aiGuueQ2pqQs1bXG/ftbyaXbt6qav+lWqnHuuczRxVVVdk7UMek2Fnebcaf7XmRSp1dUNIdW8bUlqahq0ABNV6z98+Bsh1Y8GjMEAALB9+zH069cVAwaI/fhOnKjWrpeZ+TqGDSswVFQRJUffs8e5ZFx1dYMmAKq4EQDDZd++8M6tX0eTkuJw8cXOL8ezZ6fjueeKMWxYAebM2YJhwwq06jN6zImpVfr3Pxdr107SrqmuUarW2+MBMjJeQWnpGWnwCABhpL3ID9dcPq6qqq7NlI0jTSAhpDVTwajo05DU1zcEfT58mjbCXJgeUFNgWEtKuanhKaOk5CQ+/vioxQfFbe1RQJ5qJVRkNYLN7bLrNSVIRV0sVa1QTU0DPB4mTTmiXtPclxMnqnD77e9ajvd4IExgPH58H/zjH19h717jgi4LCBWlhACA+vqApr3NzU1DIMCFKSJ+/FHRpMyYsRaDB3cTX8SBhgZFCzZlympkZfV09FPUo857JfefcfP4/nvnXICMMXBub1Krq7OXxNxqKsJJOWPmf/93OK666gKsW3cAc+ZsadK5moqayJ1zHlKwiR51XTDXlM3ISBIer7cymFmw4FMsWrQnmGi+sa258YUhGYRbv9y8r8h8bP/zPy9HZuaF2lrVv//Lhr8vWPApZs0aZLAM9evXBVu2WF9wr7zS+Nzl5qYhPb07Bg1SEpare4iqpXz55T146KEPLee56CKjJl9URzgrq2cw6rxxwRJFobcWraYJZIwdYIztYYx9yhjbEWw7lzG2njH2ZfD/rsF2xhh7hjG2nzG2mzE2WHeeKcHjv2SMTdG1ZwTPvz/4WWZ3DcJIa6aCAaxpSOrqODwehuXLb7L1Xysvr7X4MMXG+lwl0hWh+s/dd18hqqsb4PWGXns0kshqB4vaRcE7Ta1jrNcKiSo16NH7COn7Mm/eDuHxsgoWQ4eer2kDm4pe6+CU3NbjAfbtk2uBOnf2w+/32KaTqKvjKC4+jooK8fwzt+vnvcwf0YmYGB+6d7d/Tp0yqug3Zrv5rTxvTYsk9vk8yMzsgd/9LjKpY5qKx8MEgQLumTv3egCw+IEVFYm17dXV9ba+n6EIDIxBGMwTKm7y9pk5edI5D6KZ6GivZV8ZOFCsMc3K6qWlrXFr0SgtFfspitrLy2stbhLqeiGL4tcHdsl8/4qLj1v2pJgYX4tb1WS0tjl4BOc8nXM+JPj7bwBs5Jz3BbAx+DsA3Aigb/DfTADPA4pAB+BxAEMBXAXgcZ1Q93zwWPVzNzhcgzBhZwayq44QCUTmV7/fi65dY2wFUZmmMhwNpsh/rqEBeOml7JCdftVIzREj3jSYCd2imhhOnRIvtG7MEipqLVO3dW/NqAJdWlqiVvRdhGhjKyurRH7+vpCuV1hYivHjQ6uQMGGC+Hi9cON0zoqKepw6Jc6jduutfbFhw0QcPvwzfPBBrmN/ZDWIze1NqYiiUlcXwPDhKbbH2JWMA2Dwi7Ob38pYNk2rYdam2BFO1KoIr5ehV69OQo1XIMDD9jns1MmPwYOThd+jTLvm5PsZSg7EtLRELF58g+vIe5l8GR8f+hy0q2YkIjpaCTAyv9CrPrt6fD6m+U4C7i0affuK131Ru531y831ZC5DgNWXu6Wtana0thBoJgdAfvDnfADjde1LucLHALowxs4HMAbAes7595zzUwDWA7gh+LfOnPMtXHmClprOJboGIUCkTVK1Y3q/lUjjxhwtEnIiqcFcsUKcfmL//lPa+dz4CpaVVWLKlNWGxKZTpqzW+u2UdkaviZEliTXfn1Oy6FDq3tqRm5uGMWPEdUXPOy/eck8HDpwOOQfd/v2nMG5cb0upOY9H0fKa24cPv1CoOTTPBdE53aI3FWZm9rBoV1W8Xob4eL8h0a8ec7uTQJCdbc0hpxIX59Pu0e/3wCsZZqdEuGPGpGovOKtXf20x85l9uPLyxjRJOLvpphXaGhIfbz836upgua/p0y93nWtO5e23x+Obb+7G0aOztKhU1X82L28MFi9WUuTYBdAkJ8daomjr65U1SuQHZvaPVImO9mlrlln4mT07XeuLup7Nnp0uTUMzdOh5mDp1jeP9+/0erFo1QWqiHjpU7h4iW69uueUS22sOGJBouI+XX75BuP6oPrsxMV7tO1i6dKz23JaUnMS2bcdw++2XGj4nsmhMnjxA2BdRe1JSnKX84MiRKfjtbz/EV1/9YPENzM5ONVxPtmcNGpTcqlY1J1rTJ5ADWMeUwowLOecvAkjmnB8DAM75McaYqhfuAUBvuzkcbLNrPyxoh801DDDGZkLRJCI1Ve4Y2tGQVUcw+2I0FbP/meoHKCpbpvpeqG+UkfK/++47sVCmb3cjrBYXH7dks1fNhCdPVkvvA3Bf4uzYsQrDZ6ZOfc/Qr6lT32u2yO6jR8Umlw8/PIqePV803FM4Ea+ffaY4we/ePU2LDh4xIsVQQkpJJK5ECZaUnMCmTYct53nqqUyL1kF/zq5dozF/frGrAvYrV36N998/rH1n8+dnYdasQZg3byeWLNmL+npFm9TQwDFsWAFycy8VniclxRh4Ipr3c+ZkIikpVivhNW3ae8KIxaFDz8ezz2YhLS0RRUVHpAEYTlrAzZuP4Mknt+Cppz5GVJQHP/5olF4qKxud2svKKrFixRdSAcct6hpSUeE89mb/KgDIzx+LyZNXuwo0iopimDRplTYve/fuoqsYohyjX0Nuu20Vvv7aGgV67rkxmDt3pHCNUiwkxn7KItInTOiLzMwe2vX00cHqmmpez2bNGmTxiQOAV18t0cr8yfD7PZg58wpMmrRK6s8pM13brbsHDpy2ZCXQs3//adcl1GRruLk8o8ejWIg457j2WquPuFs3DOWej+DFF3cb2tSX7ry8PRat6YcfHjVkALDbsyK1JzUHrSkEZnLOjwaFsPWMsX/ZHCt67eFhtLsmKJS+CABDhgyJfD4CHU5BBZH6TCSw88WIhBCovy/Zg+MmXUuoKWBEuKn36iSsArAENKh8/PEx/OEP22zvwy49jh69xsKuAH129kUAGsc5IcGP8vJa7X+7+aS+gScmxuLkySptk/r8c7lLgGo+1N/TFVckYutW9yWmtm79Fvn5e9GnT1ckJ8fh97+/DoAxMjUzs4cWKLRo0W7heXbvFkdUjhvXG0OHno+ePV90JQCqqKk41PtLS0vECy9k47rrLrQEnBQUiJe3oqLDlufGacM4eFCc9qKw8BAyMl5BXt4YnDgRfnRwRUUDHn20CACEwRH19RwnTlRhw4aDmDbtPWl6mFB58smPXR1nFqQWL96LhIQorFgxHjfdtMLx83V1HHV1yrxMT+9uCcqYNm0N0tO7a8ncu3ePEwqBPXp0En5XBQUlmDZtjUUYU6rsWLeStWuV1EX6Ncsc9GZez4qKrC85yr05fxd//3uOrQAIiFNROa27tbUBqQAIKBrkQ4fOGKoehbKPiRQQgYAx1Yz5Rbe0VBwkZm43C5cizFZ5UfCUGmCybdsxS93lSOxJzUGrCYGc86PB/79jjK2A4tN3nDF2flBDdz4ANVnQYQB6J5cLARwNtl9van8/2H6h4HjYXKNVsHuziuRn9DRFgIxkCTQzsvsy97Gl8i4NHCg2lZjbnTZtmabs889POd6HW82Zeo2CghJMnfqe7bHqOAMcVVUNYExZ4BQHfyacT7JFcvbsdMcgA/WeNmw4iKlT11hSuzjx1VenNROXavZjjCE21iec//oSenpk7YAyp0TRjR4Pc6wwoaYgSkqKc7WZ6JGlH7HbMI4dkwt4VVX1mDJltauyfk1hw4aDeOihDyImAALA6687+8nKIsifeaYYL764G0OHnoetW53rMQPKvNy27ZjlGaypacAVVyxBIMDBuTyI5vhxRft+4kQV9u07qWUgmDFjrfBlQvYcv/nm55gz5zpXfVb517++D+l4ldmz04PJ0p3mNLRckSpO665THeyqqjqMH79SW99nzLgceXl7hfuYukapz19e3hjHdUO0B7ix5oiESzeI0rw0dW9uDVrFJ5AxFs8Y66T+DCAbwF4A7wBQI3ynAFgZ/PkdAJODUcJXAzgdNOmuBZDNGOsaDAjJBrA2+LcfGWNXB6OCJ5vOJbpGixNOJvGmZh9viUjWcEqrhXJf4foLhsqAAWIhUD2/Hrsyet27i5Oo9u7d2fE+zD6OSxfi5wAAIABJREFUMkfukycbi6qLNhs1WbTxbV5ZVNVNzlxxQh0/u0VywYJP4ffb+3FVVdUhIcGPyZNXhywAmlG0OBy1tQHpPLnwwk7Cz8ray8oq8dZbX2ipYVR8PuYqL5+agiiczUQ2N+ywq4cKKGMUSeFMRGysL6QAFlV49/kY/H4WtpBqFyhbXd2ArVu/RXS0B3fffQWmTLHffGtqGtCnT1fh81JfzxEI2EdRDx7c3eIffddda4Q+l9HRXowaJQ7WGTnSPohHRO/e4mAaUSlFM6I0WiLMz5XTuvvDD+KgNb9fsVQwxoQ1m83Psaz2eWKi/bMiCraQPV/6djc5UkWYNdJtvTKIjNYKDEkGsJkxtgvANgDvcs7XAPgDgNGMsS8BjA7+DgCrAXwNYD+AlwDMAgDO+fcAngCwPfhvTrANAO4BsCj4ma8AqOoR2TVanHASEDclaXFJyUlMm7amSZPUKTS/KaXV3N6XU/BHKH0oKjqCxx8vQlHREcvfZOkvpk9faznva6/tQ07OCrz2mjXy9cMPxaab4uLvXDkM5+amYf36iXjggQxEi+ML8NVXP9hGlt5990AkJcW5ij5taGjAoEFLtfGbN2+n7fGVlfYbCmMMRUVHXPlrhYN5nqxeLQ6eMbeXlJzEPfesQ0rKQvzhD9uFnzlzRhzVq0dNQRTOZiKbG3b4wknipsPv94Rc39Z4fYbU1E6ufTunT78cRUW3Y9++afjoo9tx+PA9ePVVxfE/1PJkbhJN19QEsHTpPnTrJtb8qoElHg9DVtYyjBt3ccjBSoCSEsUs9L/zzteoqDCaWaOiPNi4cRJycvoKz9O/v/xlU4ZadcPM2LEXaUEu0dEeixC7YMGn2LOnzJKyRIT5uXJad40VdBqZOPFSrFw53vGa6vVktc+/+eYHYQCQWl9ZtHampoqTvevbZVasiy4SvzSqcA6sXPml9rLcVgoshEqrmIM5518DGChoPwlglKCdA/i55FyLASwWtO8AYKkALbtGaxBOQuZwkzirfipmM4XMjCozGduZg5taWs2siVF91EQ0xV9QJTt7GdavLwUAzJmzBdnZqVoWebVPIrNORYXiBa/6DmVnL8Phw4pp6J13vsJvf7sJpaX3aMefPi0WJE6frrHcB6BUGLBzhhbRo0cnW9NxXt5ePPbYta7My0oVkAbt3pcs2Wt7fHy8F+Xl8t05JsbnynyVk3MRVq4UC3B2/PijcZ7U14v7oraXlVXi5z/fgOXLxdHfKtHRXtTWukuY5jSuXq9YgAknwW5GRnfk5Vnbo6MZGPMgEOC2fXEjvHXu7EdtbQMmTboEb775L4NmMSrKq0U8ypIcqzz33Cjcc88gS7s67598cgueeabYsT+hEhXlwaWXilPAqtoxtd/Ll3+B6GiP9DuSIfMZNuPzeTB69HLccYc4OCicPIs9eogF3FGjUvHyyzfiwIHT+PjjY7jvvn9ajjGXcZMh2lfsXF8mTOiHv/7V+sJ4zz2D0K+fWOMqut6uXWIPrfr6AHw+L+rqGudbTIwXb711MwYNShbuMYMGJWumWRW/34NBgxqTRau5U/Vr7OzZ6Zg/P0sLGvN6gRdf3CO4tw2Ij49CbW0Ac+de36ZTwchoayliOhThpDMJ5zOqYCQSaEST1E6TZpds2OlNyM5E+8UXpyy+PoGA4m8jQ2SCdfs2VlR0RBMAVdatKzVoBE+cqLKNpFR8h/I1AVDl0KEKg0ZQpmlV29X72LDhIFJSXsC//dsbSEl5AQUFJa5NjAMHdtPmhkyroQr7SkoP94++z+e1STfCpKYpFSVNgjgBrJ7du8PLOcm5Mn9UZNU5LrnkXC1fo5MACChl6Ow0RGqZKfX58/s90lQlsoS//fqd69ptQX1+Dh8W+5hOn34FSkvvxpIlNzZJ09epkw+/+tWVAICVK/eDc8Wca15vcnPT8PbbOdLkxAMGJAoFQD0vvWTdWCNBXV0AmZkXCv8WG2vNZ1NTE4DX6wmmJXEnlPXr5y6/ofJCWi99mTpzxhha7S4Hq+z7Zdp6kpUlTt2UldXTkgpFhGxfkbm+9OvX1WLm93gY+vXr6rg26ZNGy14qfD6PZe9bvPgGZGdfJN3/kpLiMHPmFYa2mTOvsBwvy506blxvLFo0Bg88MAQi6uu5ZlV78MH3MXfuiDabCkYGCYGtjF1C5kh9RqaONmdrLyurxLp132D6dHuTseyBsdNS2gmWBQUlGDHiTWEfV6z4wrV/n1pn2Fxpoby8ztKvFSu+lFyvsf3//k9c2UJPfb1YSly27HPt5x9+EJtJ9O1lZZW48853UVMTQHV1A2pqArjzznelFULMqMJqbm4aNm6cZPl7VVU9amsD2L79GLKyemLq1MtcnVc5N0dUlHjx9noBr1e+jKgLoWyc9HzzjTUC0y3r1h3Qfr7mGmuqCAB4/vldWr5GJ6KimGPS3YcfHoqDB2ciK6sntm8/hoQEP3w+6/GxsT5kZIiF4D//ebvwmTDPef3z86c/iU3XaiL13Nw0jBolFgDcwBjD009vRXV1A06frkVtbQCMMdx0U28sW3aTYb0ZNChZ+qIk8xFTaUpi7OhoD/785+FYsuQGbN6ciyeeyLRsvuXltTjnHKO2rlMnv1QjFRPjw8qV47Fp021SLaKeXbtOSPNDivBIEjTqA8fc5mDVV+ORtcte2Lt1i0Venr12H0DIAQ1KDlBzgv/GF/Dc3DQUF0+2PFPmpNFZWb2E58/K6hXy3ldWVmm517y8vcK9xC53alpaoiVPoPnrjIryYPDg7iHv560NCYFtALuggkh8Rlbf829/uxl9+nRBWVmltsmMH7/SskmKNGmiB0ampQSsJZT0TsAzZqyVpjbYuvWYK/8+tf//8R/vWLL9BwLcUmBctsjr22XFx90waVJj4lTzwihqLywsFWpCjxwRpzgwk5TU6Ogsy401atQybRw//dRdUHxsrA9z547AI49cLdywY2OjDFo4PQkJPm0hlNUDjRTnndf4HOzeLb43pxQWKk89NQxHjtyD3Nw0JCTIsyA//fRWvPXWF9r8zMh4BTNmXK7N/5gYL554IhMHD86UbtqcQ3smpk1bg5KSk5YXpoULPzU8PzKBOiam8fuRVW+IivIgPt4+s7PXa632UlsbwGuvleCmm1ZgzJhlWvuJE1WYPLm/MBjCrBE3E07OSAAYNSoFxcVT8MtfXokpUy5HZmYP/Pd/X2PZfJW0R8YXwurqOsybN0KYBLquLqDlbfzgg1ysWjUBM2YMwH/912DLsYDyjOtfiM3Ji83ac1lQy4QJiq+gLAerSCN4/fXiYBJzu+iF3Y3wHU5pWzd129PSEvHyy8bk1+ak0U0tbalHpgAJ1U+vrKwSH3541NBmXq9VhUc4+3lr0pp5AokWQg1w0D+gUVEMt9zyDmJivKipaUB9fUDquB+KX4PIZ2T7dmsaBr1gaZcHb82aA6itDRj8+9LTuxty2tkVYNejT2qdk9MXM2eutzhO6wXIzMweKCo6CifUFCsqKSnxuOOOxk1YpnnSt6vpJszITH9m9EXSZSXKamoa/fyKi52FQJ+PYc6ca/HAA/+E16sk0vV6mWGM6uoCUr+5qqp6bSGsqKi1fDaS7NlTBkDZSPVawXCIjfVp/bar2+rzeXD//YWoqWnQ5mde3l5hQlynNDOA8v2kpyvFjPRz/v77Cx0jsAHg9OlGgeeOO/rjt7/dhEOHGudVSko8du6cggULijFnzhbpeWprAwgE5Petuk288UaJo6vCsmWfIzu7l9CHTK3QYE7+K9MsjhqVis2bD2PHjuPIyHgFc+eOwODB3bXzqv/Kyirx5JNb8OSTWyzzjTGGn/ykH37yk35YuHAXnn56q5bfc8aMy5GR8YohvceiRcpL7IIFxUFfWQW/n2nPeFpaIrp1i8U99xi1dh4Pg9/vNST9/tWvNlnu69xzlbx5oeRgTU6Os/gwer0Ipn8xkpaW6FjZwgznwJgxyww+0k6IguvUdv313SROVpOvm/PthZqCRaQAqaqqNwimbhClx4mN9SEQUFxGRPlh2wukCWynhFK7V1TfU0kjoZh7qqsbbCM3Z8y4vElaSjszsd2C5PUyi+mAc26IXC0oKAnJrKSaV5OS4vD886Mtf3/wwfc1U0FGhti3TE9srA+jRxvNBOYowPPPFztxq+0lJSctVRlUbrzxYsc+AMChQ42mVFmJslCJjY3Cb37zgVbuTgkO4IiJ8Ro0vd26xQg/361bTHBD/gg337wiIgKgLDD2pZd2Y8yYZejf/2Vs2iTejNzy0EObNI3z99/Lo4NraxuE/qfl5bUWTcDAgc4+kco5A5bnoaamAdXVzgEqZi1QaakShXvzzb3x6qtjUVp6D5KS4nDbbeIABZWEhChNoy8zh7/22meufFW9Xkg1+SJTnZ0P7saNpaipaUwN9LOfrceoUcayiKoW9dFHi4RpcmJifJpvrF57uHPnT5GXt1dorSgqOmIQAAEleEov9IjWoNjYKLz9do6mnZRZBNQ1KZQcrL16nWN5geXcXY10vcXGDrOPNGC/73zyiTgBvKjdjbbMbG0KJwWLKMNDTIwX5eVia4kM2T5VXDy5XZl+RZAQ2A656641IdXuNZtpo6PdOz8Dch8Kt9gFs+j/pppoGFM202efzbIIp4q/XINhEUhIkPv5mPn1rz/QNozBg7tbhIr6+gZNQ+lkio2P9+GZZ0Zg3TpjgInZhFNTI97AKyrqMGnSO+jf/2U88shm4THTpzvXAQUUk6L6Hekj32S4Echqaxss0ZINDUB+/o2GhS81VbzxNDQwpKS8gEcf/Ui4ITvVsBUh86uqr4flewiXujqOadPeQ1lZpa3wNW/eSMv8lGnNZeY7t3DODc+viOTkOMsmfccd/bFy5QSDZtoJn8+r+V4tWDBSeEzXru7yG65a9Y100xYJTqEGtPz4Y50ht6WTRaC6ut6Sh/PKK89HeXmtNKBMZtJW21VfZHPgnVo3VhV2ZGZ8tT0UM6goaM0pkE6P+v3qXQhE6LXqTv6KsoAsWXuohJOCRaQAYYyFHLEr28PS0hLblelXBAmB7Yy//GWb5e1Z5jeiR+9QW1w8GfLoMiuRyHVk59Cr/q1TJ8VXiXNlAX3qqY8EwqtRalM1L26i3QBFiFQ3otraAOpN+4WaiBiQO1+rBAKQJl3Vm3ZkaUC+/PK0Y5SqW+G2oQGaRsTNRiBLgsuY8qbs9zPcdpu4IHyXLtGGhU+mnTtxoso2abFTDVsRbspiRYKamgB+/vMNUEqbW/H7ldyLbiL17713Ax566MMm9ScurlGrpPrZmvnd7z5y9XLolM+wUyfFVJaUFIe77hpocYjPzk7FnXe6EyrNAqt+LRFpV8LVFuurf9jBJRPfzlrRtatYs961a7SmeZw0aVUwgMoaRa0iWwf07bKgOzNO+VrdkJQUh3POsbcaZGf3AuDOX9Fc6s6pPVTCSY8WTjYNGeEEcbYHSAhsR5SVVUo1Rm4efvWtNy0t0fJgzJ6dLk2P4PSguY3etTMBrFt3AGVlxmjCQ4cqEAhwk/Bq7VtCgt9VtJuKuhHt3y8OaNi0qRT5+XsdU58oPknit1z9wt5ULZBb1Mz6sshnN3CuCMq1tRyvvWYNwjHn2AKAPXvCC6AJx/ncqURdJFm+/AtpVHRMjCL5Om0M4ZakMqPXKskCcdRi9yqyl0OnEo85OX0Mv69dO0kLkli1agLWrp0k1FqZq6ukpXW1+ELq1xLRBt2rV4K0X7NnpyM21qcJqebzXnXV+Y4vTbGxUSEnoL/zTnEk/dixvQ3mydpaJY/d8uU3CeeCXdSrHrsoVZVQTMd2JtxLLpEHbGVnp2oCnBuhM1KmVxnhCnS5uWnYufOneOaZkdi586dNEt7aW9CHG0gIbEco6nDxphRq7V7z5jV/fhZKS+/Gpk234YUXRrt+0NS8a8OHv4nU1IVhl6HTp1Qxt9sJr2oqiFBSTagbkSyA4JFHijB16hrMmrVReo6EhCgMHtwdfr9HeO0771ytaWK+/dadiSYS1NYGpPUyQ0XkJ3rJJV0jtgC2pEAHKM788fE+aS4/EbIk2GfO1Gtz3W5jCLcklYryYmZ8BlXtjBtE1xcJcHpGjjRq/goKSjBp0ir87W+fY9KkVdp967VWmzfnoqrKKIB9/fVpDBlifGEw+xeb16HvvhM/K3FxHsyfn4WDB2di48aJeOGFLKFpTr8+KKXKjOcR1XuV9cVJWDhy5EeheVJN1WMmklGvbs/lZMI9dkwckHbBBfGGoBA3QmekTK92hKONKygoQUbGK7j//n8iI+OVZimV2p5hMvU40ciQIUP4jh3OOeOaC7V6R0KCHxkZr1h8XmbMuByLFt3QLNeURW+px1xwwfMGYcHnYzh69J6QBYXnny8WCl1//ON1GDEi1VIVRN+3srJK9Oz5omN0cOfOfi2KKz29O/r3fzmkPuqJjVXSnwCwvfa+fdMwduxyHDjgLsq3PbBq1QSMG9db+7179/koK7Mvr2YX9dlSPPzwUIwf3wePPVaENWsONPl86hxQ52VJyUlLNGNR0REMG1Zge56YGC84hzCZ+0svjUZOTl/D81RWVonk5OdcCdH79k2TChl/+tNWoZn61VfHaj6EomfLfN+AUuVm+PA3HGvSij6rh7G/SD/L+S8Nv8vWKP16mZ6eb6kWcfjwz0Jan55++mOhBebhh4di7tydjmNjRjRPwqWo6AjWrTuA7OxeFrNrSclJ4RqnnxNDhy7Ftm3WTAFXXdUdW7c2Wl7crvVq9K4aEe0UvdvcuJ2/ZyOMsZ2cc3GWax2kCWzj6HOG6fOQJSREwe9XEqaGKwDamXHdqL0LC0st2qL6eo7CQrGDvp1ZYsiQ84SfeeyxjyyRhea+6c0EssoWo0alGN4em6Kh8XphCGyx80fcsOEgqqvl0o/q49iUCg8tTU7OCjz55BYUFR1Bfv5enDljb+7x+Ty46qrIOIc3hYoKJWp3374yV8ebfeHM6P3bZBoXmaZY5f77B+GDD27DO++Mt2goo6IYBg7sbnkGDxw4jc6djSbRzp39mDixn6HNScu0e/cJYft77zWald0644tyxIlw8i/u1EnsYCpql61R+mAPsw+xGh0cCeLjo8IyT7ox97qhoKAEo0cvx1//ugOjRy+3aLjcmHBldb/N7QcOnLbkl4yLs5rW25rfXHut59uSUJ7ANoyoDq4sD1moOOVbcvO2KvOpE7Wb69+qtRlVevU6Bz4fswiV+tx206evQWJiDFJSOlvyBPbp0wU7d/4U99+/0VIODlCSKV95ZaPpIlTzuZ7rruuhjVVZWSWee26X9Nhf/ep9AGKVTXy8F4WFtyIhwY8NGw7gvvsKLcdERXlQXx9ocdOpHYEA8OijRQCKXB3v9TIcPSo2O7nh3nsH4rzzOkn9Yd3y3HO7MHToBUKNmxmvFygsPGR7jOpWIHOanzVrEHr1OidYUUX8IjBxopKuJSWls6Uuqs/nNZjS9BoukYP8s89m4Xe/y3StZbrkErHPq77drTN+eXktoqKYYzJuJ//iiy/ugl27rMLpxRe7K9GmJ9w662YmTOgrnHsTJvRFWlqiY8675qCsrBJTp75nuL+pU98z1Eh3Y8JNTBSndzK3hzKW6stxWyBSc+BshjSBbRjZW4woD1koOOVbclu6qHt38fXN7W4iy06cqLLNVQgoAQs33/w2+vd/GcOGvY7U1IW4994NBk2pDH1FDUB5G7/88vDexPVpSlau3G+bCLimJoCaGvHf1WTR3brF4sgRsZBUV9e2BMBw8HiA0tLwzeG33tofDz98tWOJLlWbKtOqKgmB16J7d3HeRj0NDXAUaFStj53GRdVSiypUAMCoUW9ixIg3MXjwUkO1EaVSy/U4cOC0oaKPOs+vu+4Cw3lUX7tQtEznny8OwtC3u3XGT0jwO45XTIzXUVMmSxsUTjqhSEWGOvnftUawQHHxcYtwU1sbQHFxY04+N36Dv/zlVcLzm9sjGWXbkrTXfrckpAlswzTXW4wo+7mqIj9xokqq1TBvLPv3i1XqqamdDb+7yYTv1jyranGU5K0NWl/VexFpAQFrXdqSkpPYuze8qFa9+fxf//o+rHMAiqAxYsSbqK8PtLq/XHPixkxox6ZNpcjM7IHHHrsWixbtkVZg8Xo9qK9vsBXKo6I8qKxserTihRfGa9pgWUk8VeOSm5uGb745LdQmKS8Jype/cOEu7No1FeXltfjkk+N48MH34fd7UFOj3JO+iog5J2Je3l489ti1IW1u27eLn7nt24/hrrsGar9nZfXE22/nAFByUIquoU9WLmLixH549tksx/716XMuioutmsA+fc61tLnxW3ZTncIN8+dn4bbb0qT+d20VWeUNlaFDxdpCUXtTxtLNd9VcRGoOnK2QJrAN01xvMXbCpdv8U2VllXjmmU8sx/l81mTFbswSTTHPusG88TfFJ/D48UbpuanpX9RKHHb575z8ys52SkvPaJowu3FSXxDsBOq6ugDOnBFXZwmFnj2VF52CghJkZS2z/N3nY+jWrVH7LNOaG/vGcejQGfTqdQ4efPB9TVOvpOxxKvPFQ/ZzOnlSHMyjb9fnwRs/fiU2bDgY0jV+8Ysh2LdvGpYtu9nVupWeLq6sYm4311e2i/iMhKZO9b+bN2+n0P+upRk0KFnoQypKFG+nHdZrDt20hzOWoXxXzcXZmNolUnTcnaWd0ByOtnbCpdv8U7JSbY8/nml50NyYJfQbZnNg3vhl2hs3XHJJF00bWFz8bZP65URMjBePPnoN/vnPW6WVItwSjkmtLVBaekZzX2hK6bmoKA/y8sZg0CB3Jdz8fg969hSbTKuq6jW3CpFm0uo0777foZRBVKmubgi5HurUqeKAJrU9lDJdMqHkoYeuCikAYvhw8UuVvt2pX6GU1HRDOOXKmpukpDjk549FdLQHMTFeREd7kJ8/NmQhp7RUXBVJ1h4qbXHsCCPtdFvoWDTHW4xMuHSbf0pWS1HWx2uv7YGYGK+2YCUnxxsWAllEsRM+HzPUsjXX8VWZONFY/aIpmrUdO77V3mgLCw8Lj2EMlsjEcOCc4y9/2Y7Ro5dj+HC5CSomRhEY7fLgySoWhEN8vA8vvTQaS5bcgIEDuwmPSU6O1V40oqLCv/bRo+UR0YTOmzcCublpmDHjClfH19YGcPCg2JeRMWYrrJndNtyaxFNSOgufrago5lg2zskka2bcuN4YMMD4XA8YkKil/wklslIVStQ5GBPjDUsoqagQm+r17Xb9cuvPHAptOcLU4/HA6/VIyyk6IUtt5ZRuyy1teewIBRICOzAy4dJN6aKkpDjMnXu9pf3BBwstb3l6jYlS+zeARx8tMiSX/uijo479jYnx4je/uTK40UQhNtaHpUvH4pNPJiM391IEAgF8+KE4otPsR3n8uPObaE7OxcL2qqqA9kYrS33y618Pwdtv50gDAtxSUxPQ3qDtauN26hQNxhgAFoxGteK2BJ0bAgEgJ6cvpky5HH36iH1Uhw27QHvRKCy8NexreTyekPouSxP07bfKdz5gQJLw71FRHmkJPDPff18lfRESuW1kZfV0dd5Dh84INfX5+WO1sVy69EZ3nXTB7t3TDNVAdu+epv0tVJ/k3Nw0lJbejcLCW1FaendYVosffhCbqPXtsn7V1gYcA9DCoS1GmOo1bBUVdWFr2GTz0u18daKtjJ3bqlYdERICCSFuogwHD062lHASveXJNCb6Or7Hj4ujYxmDthEuXnwDfv/74fjkk8l49tlR2LnzpwCAjIxXsHDhbtTUBFBdLTa77dplTIi6fbu9GTcqiuHdd792OMaDkSPFi+UvfnEVsrMvwuLFN7SIGbasrEbbEGSBE5FCNauqQo4s/cvRoxXai0ZmZg/H6F4ZEyb0MQhFonJzsbE+PPFEJvbtm4bHH79GeJ5+/RQXAJnG7NVXx+Ldd//Dkg9NRE1NwCKsxcR48cQTmUK3jbS0RKmWWoRIU6+O5YgRqa79wdwwblxvLFo0xpAAHAjPJ7mpVosuXcS1bPXtsn7JUlY1tWpLW4wwjZSGLZJVTES0hbFrCz6JbRmKDm6HtGaklZ5evc5Bfb3zW55MYwI0LlyyPGD33TcYd9yRpt2rOb9hfX2DY2oKAIiPNwqr2dm9MGfOFstxamULN+dU67m+/vq/Y8qUdxEIMHg8HPn5/659L7m5adi//xQee+wjy+d//esrsXPncWzcKNbweb2sST5wzUVh4a2G6Mjx4/tiyxarUD1+fF/D7/PnZ2HMmItw000rQrreyJFKNGZWVk8UFpbi1lv/YTlm/fqJWp9SU8VaBnWuyrRNgOLbZhddrHLBBUqaGbeRh2Vlldi82V7bba7LLMu3pppep09fo82RxYtvaJa1oKUjK1NSOrtqF/VLpvGLRNBZW4swjaSGzSmCuKm05tiJcu3OmLHWkE+xo0OawHZGW3qrCeUt7/zzxQ+cunDdeWd/4d/vvnugplkQORm7EdYAq8N5ZmYPS0WIoUPPExanN+P3M8O95uam4ciRWdiy5XYcOTLLogWSaTf++tft2LHjW8TEeHHZZcaF9/bbL8Urr4w1jO3s2elSraLMBCpC9dkK5TMqs2enW9JjjBgh1nCJ2pOT40L2lVQ1PElJcVJfJb0WyCm4yU7bZJ7TspyDt9/e+B270X6JNDeKf2yja8OSJTe63pgiYXp1S0tGVipVPowTMybGi/Jyq6+guV8todVqKxGmkdawRaqKiYzWGjvySXSGNIHtiLb4VuP0lldQUIJp09YIqzRERRnLr82enW6pKqJflET5Dd1SUnLCIrysXTvJUHuzX7+u6NnzRcdzqWZet2M+eLC4JF5DA3D6tLK5ff31aWzenIv9+08Z3sbNY5uS0klY73Xy5MvwxhufazU7r7vuAqEPYWysD2+9lYNBg5KxYcNBizYpNbUz/ud/irCsujToAAALjElEQVRhg/Wz5prBKr16nWOpFhEVJS4cH46mwk0qIX27KgzI5tKgQcmaJllFr4XTz+mEBL+w/uqdd14W0j2INDeMMXzySfjVf9pSZYZIocwPo+DNmHguiWhurVZboq1pJ9sibcUnsS1DQmA7wi7Jc2suALLNSBVaZWW6ODcu9k4LuOiB9vs98HgY/H4vqqrq0NDAhXniZEmdMzN7GITDvLwxWgH0iopaNAi6fsUVScKi6bISfH6/x7GkVlSUkgtwyhRj2g7z2CYni6tdDB+egj/+cbjFPDZv3k7k538Gv9+rFXTPzr4IgHwTWb9+Eu66aw3y8vZq5589O10oAKooQSnc9LsVVYOhjnF5ea1tXj/zi4CTgKdiN5eSkuKwZMmNmDFjLTwehkCAW7Qo+nF//fV/x9SpqxEIKO4CS5aEHvVqvm/1uzibhZRwkI1TKOOdlpbYYcb1bHwRiCSRmE9nO4y395pULcCQIUP4jh07WrsbKCurRM+eLxpMYrGxPhw8OLNNTurt249h9OjlmrZLRKj9VwUu/QOtF2S2bj0m9DnbvDnXdZZ/1eeytjaAYcMKLH/ft2+atsm4+U5Ex5hxOw4lJSeFmil9n2T3E6q2wE39aED8PXfu7MeGDRMN9ZplfTpxogrbth1DYmIsTp6s0v63u67bvtkRyrhEyg+3rfjztnVonIhI0hHnE2NsJ+d8iNNxpAlsR7S3txq7gBCVUDWZMu2V+v+4cb2RnZ1qMIVmZ6eGVOZJ/3YdjonafE/q9zZ9+hph5K6bmqoqbjVhsvsJBbcalXBMLvo+JSXFhSzIRULbE8q4RErjQpobd9A4EZGE5pMc0gS6oK1oAlXa01uNXnNXXa1UfNBHvDaXJlPv69fUOp92WqdQtLNlZZVYuHAXnn56qybEP/zwUNx998CQ7z8SmrBIItLQNmewAkEQBCHHrSawQwqBjLEbAMwD4AWwiHP+B7vj25oQ2N7QC60bNhw864SFUAWg9iTEh8LZel8EQRDtDRICJTDGvAC+ADAawGEA2wHkcs73yT5DQmBkaQlhoaUFEhKACIIgiLYC+QTKuQrAfs751wDAGHsDQA4AqRBIRJbm9s9witZtDsjnhCAIgmhvdMRk0T0A6AvMHg62EWcBooTS4dTUJAiCIIiznY4oBIoSmFls4oyxmYyxHYyxHWVlZS3QLSISUIZ4giAIgnBHRxQCDwPQ1xC7EIClqCfn/EXO+RDO+ZCkpKQW6xzRNChDPEEQBEG4oyMKgdsB9GWMXcQY8wO4DcA7rdwnIkJEuqYmQRAEQZytdLjAEM55PWNsNoC1UFLELOacf9bK3SIiCNXUJAiCIAhnOpwQCACc89UAVrd2P4jmg6J1CYIgCMKejmgOJgiCIAiC6PCQEEgQBEEQBNEBISGQIAiCIAiiA0JCIEEQBEEQRAeEhECCIAiCIIgOCAmBBEEQBEEQHRASAgmCIAiCIDogjHNL2VzCBGOsDMDB1u5HG6cbgBOt3YkOBo15y0Lj3bLQeLcsNN4tT3OOeU/OuWPNWxICiYjAGNvBOR/S2v3oSNCYtyw03i0LjXfLQuPd8rSFMSdzMEEQBEEQRAeEhECCIAiCIIgOCAmBRKR4sbU70AGhMW9ZaLxbFhrvloXGu+Vp9TEnn0CCIAiCIIgOCGkCCYIgCIIgOiAkBBIEQRAEQXRASAgkwoIxdoAxtocx9iljbEew7VzG2HrG2JfB/7u2dj/bK4yxxYyx7xhje3VtwvFlCs8wxvYzxnYzxga3Xs/bL5Ix/x/G2JHgPP+UMTZW97ffBsf8c8bYmNbpdfuEMZbCGCtkjJUwxj5jjN0fbKc53kzYjDnN8WaAMRbDGNvGGNsVHO/fBdsvYoxtDc7xNxlj/mB7dPD3/cG/92qJfpIQSDSFEZzzdF2eo98A2Mg57wtgY/B3IjyWALjB1CYb3xsB9A3+mwng+Rbq49nGEljHHADmBud5Oud8NQAwxvoDuA3AZcHPPMcY87ZYT9s/9QB+wTlPA3A1gJ8Hx5TmePMhG3OA5nhzUANgJOd8IIB0ADcwxq4G8Eco490XwCkAM4LHzwBwinPeB8Dc4HHNDgmBRCTJAZAf/DkfwPhW7Eu7hnP+AYDvTc2y8c0BsJQrfAygC2Ps/Jbp6dmDZMxl5AB4g3Newzn/BsB+AFc1W+fOMjjnxzjnnwR//hFACYAeoDnebNiMuQya400gOFfLg79GBf9xACMB/C3Ybp7j6tz/G4BRjDHW3P0kIZAIFw5gHWNsJ2NsZrAtmXN+DFAWHADdW613Zyey8e0B4JDuuMOwX9yJ0JgdNEEu1rk40JhHiKDZaxCAraA53iKYxhygOd4sMMa8jLFPAXwHYD2ArwD8wDmvDx6iH1NtvIN/Pw0gsbn7SEIgES6ZnPPBUMw0P2eM/Vtrd6gDI3pbpNxPkeF5AL2hmHOOAfhrsJ3GPAIwxhIA/B3AA5zzM3aHCtpovMNAMOY0x5sJznkD5zwdwIVQtKhposOC/7fKeJMQSIQF5/xo8P/vAKyAMsGPqyaa4P/ftV4Pz0pk43sYQIruuAsBHG3hvp2VcM6PBxfyAICX0GgOozFvIoyxKCjCyGuc87eCzTTHmxHRmNMcb3445z8AeB+KL2YXxpgv+Cf9mGrjHfz7OXDvnhI2JAQSIcMYi2eMdVJ/BpANYC+AdwBMCR42BcDK1unhWYtsfN8BMDkYQXk1gNOqSY1oGia/swlQ5jmgjPltwYi+i6AELGxr6f61V4K+TnkASjjn/6v7E83xZkI25jTHmwfGWBJjrEvw51gAWVD8MAsB3BI8zDzH1bl/C4B/8hao5kEVQ4iQYYxdDEX7BwA+AK9zzp9ijCUCWAYgFUApgImc82Z/kzkbYYwVALgeQDcAxwE8DuBtCMY3uLgvgBLBVwlgGud8R2v0uz0jGfProZjJOIADAO5WhQ/G2CMApkOJunyAc/5ei3e6ncIYGwbgQwB7AASCzQ9D8VGjOd4M2Ix5LmiORxzG2BVQAj28UBRuyzjnc4L75xsAzgVQDOBOznkNYywGwCtQfDW/B3Ab5/zrZu8nCYEEQRAEQRAdDzIHEwRBEARBdEBICCQIgiAIguiAkBBIEARBEATRASEhkCAIgiAIogNCQiBBEARBEEQHhIRAgiCIdgJjrBdj7Hbd70MYY88Ef57KGFvQer0jCKK9QUIgQRBEhGCMeZv5Er0AaEIg53wH5/y+Zr4mQRBnKSQEEgRBuIQx9jZjbCdj7DPG2MxgWzljbA5jbCuAaxhjGYyxTcHj1urKoP0nY2w7Y2wXY+zvjLE4m+ssYYzdovu9PPjjHwBcxxj7lDH2IGPsesbYP5rxlgmCOIshIZAgCMI90znnGQCGALgvWCUnHsBezvlQKBUv5gO4JXjcYgBPBT/7Fuf8Ss75QCjlo2aEcf3fAPiQc57OOZ/b1JshCKJj43M+hCAIgghyH2NsQvDnFCj1VBsA/D3YdgmAywGsVyqdwQtArXF7OWPsSQBdACQAWNtSnSYIghBBQiBBEIQLGGPXQykCfw3nvJIx9j6AGADVnPMG9TAAn3HOrxGcYgmA8ZzzXYyxqVDqEsuoR9BSE6yb64/ALRAEQRggczBBEIQ7zgFwKigAXgrgasExnwNIYoxdAwCMsSjG2GXBv3UCcIwxFgXgDodrHQCQEfw5B0BU8Ocfg+chCIJoMiQEEgRBuGMNAB9jbDeAJwB8bD6Ac14L4BYAf2SM7QLwKYBrg39+FIrP4HoA/3K41ksAhjPGtgEYCqAi2L4bQH0wuOTBJt4PQRAdHMY5b+0+EARBEARBEC0MaQIJgiAIgiA6IBQYQhAE0Uowxh4BMNHUvJxz/pToeIIgiEhC5mCCIAiCIIgOCJmDCYIgCIIgOiAkBBIEQRAEQXRASAgkCIIgCILogJAQSBAEQRAE0QEhIZAgCIIgCKID8v8R8jTr3xLZdwAAAABJRU5ErkJggg==\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": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(409, 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": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  267109.5333333334\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": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  288310.5\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": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  209128.8\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": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  284097.75\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": [
    "## Persist model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "pickle.dump(reg, open('models/random-forest-regressor-casas-01-2020.pickle', 'wb'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load & test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previsao de preço:  274597.83\n"
     ]
    }
   ],
   "source": [
    "loaded_model = pickle.load(open('models/random-forest-regressor-casas-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": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}