EDA Crédito.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "from datetime import date"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_solicitante</th>\n",
       "      <th>produto_solicitado</th>\n",
       "      <th>dia_vencimento</th>\n",
       "      <th>forma_envio_solicitacao</th>\n",
       "      <th>tipo_endereco</th>\n",
       "      <th>sexo</th>\n",
       "      <th>idade</th>\n",
       "      <th>estado_civil</th>\n",
       "      <th>qtde_dependentes</th>\n",
       "      <th>grau_instrucao</th>\n",
       "      <th>...</th>\n",
       "      <th>codigo_area_telefone_trabalho</th>\n",
       "      <th>meses_no_trabalho</th>\n",
       "      <th>profissao</th>\n",
       "      <th>ocupacao</th>\n",
       "      <th>profissao_companheiro</th>\n",
       "      <th>grau_instrucao_companheiro</th>\n",
       "      <th>local_onde_reside</th>\n",
       "      <th>local_onde_trabalha</th>\n",
       "      <th>inadimplente</th>\n",
       "      <th>origem</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>presencial</td>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>85</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>treino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>internet</td>\n",
       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>492.0</td>\n",
       "      <td>492.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>treino</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>1</td>\n",
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       "      <td>internet</td>\n",
       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>treino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>internet</td>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>932.0</td>\n",
       "      <td>932.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>treino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>internet</td>\n",
       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>51</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>440.0</td>\n",
       "      <td>440.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>treino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>49</td>\n",
       "      <td>2</td>\n",
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       "      <td>0</td>\n",
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       "      <td>652.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>teste</td>\n",
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       "    <tr>\n",
       "      <th>4996</th>\n",
       "      <td>24997</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>internet</td>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>855.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>teste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4997</th>\n",
       "      <td>24998</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>presencial</td>\n",
       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>internet</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>670.0</td>\n",
       "      <td>670.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>teste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4999</th>\n",
       "      <td>25000</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>presencial</td>\n",
       "      <td>1</td>\n",
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       "      <td>81</td>\n",
       "      <td>0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>teste</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25000 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id_solicitante  produto_solicitado  dia_vencimento  \\\n",
       "0                  1                   1              10   \n",
       "1                  2                   1              25   \n",
       "2                  3                   1              20   \n",
       "3                  4                   1              20   \n",
       "4                  5                   7               1   \n",
       "...              ...                 ...             ...   \n",
       "4995           24996                   1              10   \n",
       "4996           24997                   1               5   \n",
       "4997           24998                   1              10   \n",
       "4998           24999                   1              25   \n",
       "4999           25000                   1              25   \n",
       "\n",
       "     forma_envio_solicitacao  tipo_endereco sexo  idade  estado_civil  \\\n",
       "0                 presencial              1    M     85             2   \n",
       "1                   internet              1    F     38             1   \n",
       "2                   internet              1    F     37             2   \n",
       "3                   internet              1    M     37             1   \n",
       "4                   internet              1    F     51             1   \n",
       "...                      ...            ...  ...    ...           ...   \n",
       "4995              presencial              1    F     49             2   \n",
       "4996                internet              1    M     18             2   \n",
       "4997              presencial              1    F     29             1   \n",
       "4998                internet              1    F     31             2   \n",
       "4999              presencial              1    F     54             1   \n",
       "\n",
       "      qtde_dependentes  grau_instrucao  ...  codigo_area_telefone_trabalho  \\\n",
       "0                    0               0  ...                                  \n",
       "1                    0               0  ...                                  \n",
       "2                    0               0  ...                                  \n",
       "3                    1               0  ...                             54   \n",
       "4                    3               0  ...                                  \n",
       "...                ...             ...  ...                            ...   \n",
       "4995                 1               0  ...                                  \n",
       "4996                 0               0  ...                                  \n",
       "4997                 0               0  ...                                  \n",
       "4998                 2               0  ...                                  \n",
       "4999                 0               0  ...                             81   \n",
       "\n",
       "     meses_no_trabalho profissao ocupacao profissao_companheiro  \\\n",
       "0                    0       9.0      1.0                   0.0   \n",
       "1                    0       2.0      5.0                   NaN   \n",
       "2                    0       NaN      NaN                   NaN   \n",
       "3                    0       9.0      2.0                   NaN   \n",
       "4                    0       9.0      5.0                   NaN   \n",
       "...                ...       ...      ...                   ...   \n",
       "4995                 0       9.0      1.0                   0.0   \n",
       "4996                 0       NaN      NaN                   NaN   \n",
       "4997                 0       9.0      5.0                   NaN   \n",
       "4998                 0       NaN      NaN                   NaN   \n",
       "4999                 0       9.0      5.0                   0.0   \n",
       "\n",
       "      grau_instrucao_companheiro  local_onde_reside local_onde_trabalha  \\\n",
       "0                            0.0              600.0               600.0   \n",
       "1                            NaN              492.0               492.0   \n",
       "2                            NaN              450.0               450.0   \n",
       "3                            NaN              932.0               932.0   \n",
       "4                            NaN              440.0               440.0   \n",
       "...                          ...                ...                 ...   \n",
       "4995                         0.0              652.0               652.0   \n",
       "4996                         NaN              855.0               855.0   \n",
       "4997                         NaN              371.0               371.0   \n",
       "4998                         NaN              670.0               670.0   \n",
       "4999                         0.0              402.0               402.0   \n",
       "\n",
       "      inadimplente  origem  \n",
       "0              0.0  treino  \n",
       "1              0.0  treino  \n",
       "2              1.0  treino  \n",
       "3              1.0  treino  \n",
       "4              1.0  treino  \n",
       "...            ...     ...  \n",
       "4995           NaN   teste  \n",
       "4996           NaN   teste  \n",
       "4997           NaN   teste  \n",
       "4998           NaN   teste  \n",
       "4999           NaN   teste  \n",
       "\n",
       "[25000 rows x 43 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df = pd.read_csv('data/desafio 1/conjunto_de_treinamento.csv')\n",
    "test_df = pd.read_csv('data/desafio 1/conjunto_de_teste.csv')\n",
    "train_df['origem'] = 'treino'\n",
    "test_df['origem'] = 'teste'\n",
    "\n",
    "credit_df = pd.concat([train_df, test_df])\n",
    "credit_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id_solicitante', 'produto_solicitado', 'dia_vencimento',\n",
       "       'forma_envio_solicitacao', 'tipo_endereco', 'sexo', 'idade',\n",
       "       'estado_civil', 'qtde_dependentes', 'grau_instrucao', 'nacionalidade',\n",
       "       'estado_onde_nasceu', 'estado_onde_reside',\n",
       "       'possui_telefone_residencial', 'codigo_area_telefone_residencial',\n",
       "       'tipo_residencia', 'meses_na_residencia', 'possui_telefone_celular',\n",
       "       'possui_email', 'renda_mensal_regular', 'renda_extra',\n",
       "       'possui_cartao_visa', 'possui_cartao_mastercard',\n",
       "       'possui_cartao_diners', 'possui_cartao_amex', 'possui_outros_cartoes',\n",
       "       'qtde_contas_bancarias', 'qtde_contas_bancarias_especiais',\n",
       "       'valor_patrimonio_pessoal', 'possui_carro',\n",
       "       'vinculo_formal_com_empresa', 'estado_onde_trabalha',\n",
       "       'possui_telefone_trabalho', 'codigo_area_telefone_trabalho',\n",
       "       'meses_no_trabalho', 'profissao', 'ocupacao', 'profissao_companheiro',\n",
       "       'grau_instrucao_companheiro', 'local_onde_reside',\n",
       "       'local_onde_trabalha', 'inadimplente', 'origem'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dia_vencimento</th>\n",
       "      <th>idade</th>\n",
       "      <th>estado_civil</th>\n",
       "      <th>qtde_dependentes</th>\n",
       "      <th>nacionalidade</th>\n",
       "      <th>tipo_residencia</th>\n",
       "      <th>meses_na_residencia</th>\n",
       "      <th>possui_email</th>\n",
       "      <th>possui_outros_cartoes</th>\n",
       "      <th>qtde_contas_bancarias</th>\n",
       "      <th>qtde_contas_bancarias_especiais</th>\n",
       "      <th>possui_carro</th>\n",
       "      <th>profissao</th>\n",
       "      <th>ocupacao</th>\n",
       "      <th>profissao_companheiro</th>\n",
       "      <th>grau_instrucao_companheiro</th>\n",
       "      <th>local_onde_reside</th>\n",
       "      <th>inadimplente</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>dia_vencimento</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.147397</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>-0.063365</td>\n",
       "      <td>0.080338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>idade</th>\n",
       "      <td>-0.147397</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.241417</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.104265</td>\n",
       "      <td>0.208114</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.233982</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.056023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.120678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estado_civil</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.241417</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.051399</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.054465</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.074686</td>\n",
       "      <td>-0.082369</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qtde_dependentes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.072189</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.124852</td>\n",
       "      <td>0.067755</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nacionalidade</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.051399</td>\n",
       "      <td>-0.072189</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.174262</td>\n",
       "      <td>-0.094754</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.214864</td>\n",
       "      <td>-0.214864</td>\n",
       "      <td>-0.237156</td>\n",
       "      <td>-0.122589</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.455478</td>\n",
       "      <td>0.112252</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_residencia</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.104265</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.087996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>meses_na_residencia</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.208114</td>\n",
       "      <td>0.054465</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.174262</td>\n",
       "      <td>-0.087996</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.317358</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_email</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.094754</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.614063</td>\n",
       "      <td>-0.614063</td>\n",
       "      <td>-0.697455</td>\n",
       "      <td>0.252868</td>\n",
       "      <td>0.131859</td>\n",
       "      <td>0.590295</td>\n",
       "      <td>0.142156</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_outros_cartoes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qtde_contas_bancarias</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.214864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.614063</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.855780</td>\n",
       "      <td>-0.257437</td>\n",
       "      <td>-0.159728</td>\n",
       "      <td>-0.580591</td>\n",
       "      <td>-0.418988</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qtde_contas_bancarias_especiais</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.214864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.614063</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.855780</td>\n",
       "      <td>-0.257437</td>\n",
       "      <td>-0.159728</td>\n",
       "      <td>-0.580591</td>\n",
       "      <td>-0.418988</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_carro</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.237156</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.697455</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.855780</td>\n",
       "      <td>0.855780</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.279106</td>\n",
       "      <td>-0.172443</td>\n",
       "      <td>-0.704940</td>\n",
       "      <td>-0.592502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profissao</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.122589</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.252868</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.257437</td>\n",
       "      <td>-0.257437</td>\n",
       "      <td>-0.279106</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.176149</td>\n",
       "      <td>0.397345</td>\n",
       "      <td>0.081113</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ocupacao</th>\n",
       "      <td>0.097247</td>\n",
       "      <td>-0.233982</td>\n",
       "      <td>-0.074686</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.131859</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.159728</td>\n",
       "      <td>-0.159728</td>\n",
       "      <td>-0.172443</td>\n",
       "      <td>0.176149</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.080961</td>\n",
       "      <td>0.070279</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profissao_companheiro</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.082369</td>\n",
       "      <td>0.124852</td>\n",
       "      <td>-0.455478</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.317358</td>\n",
       "      <td>0.590295</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.580591</td>\n",
       "      <td>-0.580591</td>\n",
       "      <td>-0.704940</td>\n",
       "      <td>0.397345</td>\n",
       "      <td>0.080961</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.423197</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grau_instrucao_companheiro</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.056023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.067755</td>\n",
       "      <td>0.112252</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.142156</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.418988</td>\n",
       "      <td>-0.418988</td>\n",
       "      <td>-0.592502</td>\n",
       "      <td>0.081113</td>\n",
       "      <td>0.070279</td>\n",
       "      <td>0.423197</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>local_onde_reside</th>\n",
       "      <td>-0.063365</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inadimplente</th>\n",
       "      <td>0.080338</td>\n",
       "      <td>-0.120678</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 dia_vencimento     idade  estado_civil  \\\n",
       "dia_vencimento                         1.000000 -0.147397           NaN   \n",
       "idade                                 -0.147397  1.000000      0.241417   \n",
       "estado_civil                                NaN  0.241417      1.000000   \n",
       "qtde_dependentes                            NaN       NaN           NaN   \n",
       "nacionalidade                               NaN       NaN      0.051399   \n",
       "tipo_residencia                             NaN -0.104265           NaN   \n",
       "meses_na_residencia                         NaN  0.208114      0.054465   \n",
       "possui_email                                NaN       NaN           NaN   \n",
       "possui_outros_cartoes                       NaN       NaN           NaN   \n",
       "qtde_contas_bancarias                       NaN       NaN           NaN   \n",
       "qtde_contas_bancarias_especiais             NaN       NaN           NaN   \n",
       "possui_carro                                NaN       NaN           NaN   \n",
       "profissao                                   NaN       NaN           NaN   \n",
       "ocupacao                               0.097247 -0.233982     -0.074686   \n",
       "profissao_companheiro                       NaN       NaN     -0.082369   \n",
       "grau_instrucao_companheiro                  NaN -0.056023           NaN   \n",
       "local_onde_reside                     -0.063365       NaN           NaN   \n",
       "inadimplente                           0.080338 -0.120678           NaN   \n",
       "\n",
       "                                 qtde_dependentes  nacionalidade  \\\n",
       "dia_vencimento                                NaN            NaN   \n",
       "idade                                         NaN            NaN   \n",
       "estado_civil                                  NaN       0.051399   \n",
       "qtde_dependentes                         1.000000      -0.072189   \n",
       "nacionalidade                           -0.072189       1.000000   \n",
       "tipo_residencia                               NaN            NaN   \n",
       "meses_na_residencia                           NaN       0.174262   \n",
       "possui_email                                  NaN      -0.094754   \n",
       "possui_outros_cartoes                         NaN            NaN   \n",
       "qtde_contas_bancarias                         NaN      -0.214864   \n",
       "qtde_contas_bancarias_especiais               NaN      -0.214864   \n",
       "possui_carro                                  NaN      -0.237156   \n",
       "profissao                                     NaN      -0.122589   \n",
       "ocupacao                                      NaN            NaN   \n",
       "profissao_companheiro                    0.124852      -0.455478   \n",
       "grau_instrucao_companheiro               0.067755       0.112252   \n",
       "local_onde_reside                             NaN            NaN   \n",
       "inadimplente                                  NaN            NaN   \n",
       "\n",
       "                                 tipo_residencia  meses_na_residencia  \\\n",
       "dia_vencimento                               NaN                  NaN   \n",
       "idade                                  -0.104265             0.208114   \n",
       "estado_civil                                 NaN             0.054465   \n",
       "qtde_dependentes                             NaN                  NaN   \n",
       "nacionalidade                                NaN             0.174262   \n",
       "tipo_residencia                         1.000000            -0.087996   \n",
       "meses_na_residencia                    -0.087996             1.000000   \n",
       "possui_email                                 NaN                  NaN   \n",
       "possui_outros_cartoes                        NaN                  NaN   \n",
       "qtde_contas_bancarias                        NaN                  NaN   \n",
       "qtde_contas_bancarias_especiais              NaN                  NaN   \n",
       "possui_carro                                 NaN                  NaN   \n",
       "profissao                                    NaN                  NaN   \n",
       "ocupacao                                     NaN                  NaN   \n",
       "profissao_companheiro                        NaN            -0.317358   \n",
       "grau_instrucao_companheiro                   NaN                  NaN   \n",
       "local_onde_reside                            NaN                  NaN   \n",
       "inadimplente                                 NaN                  NaN   \n",
       "\n",
       "                                 possui_email  possui_outros_cartoes  \\\n",
       "dia_vencimento                            NaN                    NaN   \n",
       "idade                                     NaN                    NaN   \n",
       "estado_civil                              NaN                    NaN   \n",
       "qtde_dependentes                          NaN                    NaN   \n",
       "nacionalidade                       -0.094754                    NaN   \n",
       "tipo_residencia                           NaN                    NaN   \n",
       "meses_na_residencia                       NaN                    NaN   \n",
       "possui_email                         1.000000                    NaN   \n",
       "possui_outros_cartoes                     NaN                    1.0   \n",
       "qtde_contas_bancarias               -0.614063                    NaN   \n",
       "qtde_contas_bancarias_especiais     -0.614063                    NaN   \n",
       "possui_carro                        -0.697455                    NaN   \n",
       "profissao                            0.252868                    NaN   \n",
       "ocupacao                             0.131859                    NaN   \n",
       "profissao_companheiro                0.590295                    NaN   \n",
       "grau_instrucao_companheiro           0.142156                    NaN   \n",
       "local_onde_reside                         NaN                    NaN   \n",
       "inadimplente                              NaN                    NaN   \n",
       "\n",
       "                                 qtde_contas_bancarias  \\\n",
       "dia_vencimento                                     NaN   \n",
       "idade                                              NaN   \n",
       "estado_civil                                       NaN   \n",
       "qtde_dependentes                                   NaN   \n",
       "nacionalidade                                -0.214864   \n",
       "tipo_residencia                                    NaN   \n",
       "meses_na_residencia                                NaN   \n",
       "possui_email                                 -0.614063   \n",
       "possui_outros_cartoes                              NaN   \n",
       "qtde_contas_bancarias                         1.000000   \n",
       "qtde_contas_bancarias_especiais               1.000000   \n",
       "possui_carro                                  0.855780   \n",
       "profissao                                    -0.257437   \n",
       "ocupacao                                     -0.159728   \n",
       "profissao_companheiro                        -0.580591   \n",
       "grau_instrucao_companheiro                   -0.418988   \n",
       "local_onde_reside                                  NaN   \n",
       "inadimplente                                       NaN   \n",
       "\n",
       "                                 qtde_contas_bancarias_especiais  \\\n",
       "dia_vencimento                                               NaN   \n",
       "idade                                                        NaN   \n",
       "estado_civil                                                 NaN   \n",
       "qtde_dependentes                                             NaN   \n",
       "nacionalidade                                          -0.214864   \n",
       "tipo_residencia                                              NaN   \n",
       "meses_na_residencia                                          NaN   \n",
       "possui_email                                           -0.614063   \n",
       "possui_outros_cartoes                                        NaN   \n",
       "qtde_contas_bancarias                                   1.000000   \n",
       "qtde_contas_bancarias_especiais                         1.000000   \n",
       "possui_carro                                            0.855780   \n",
       "profissao                                              -0.257437   \n",
       "ocupacao                                               -0.159728   \n",
       "profissao_companheiro                                  -0.580591   \n",
       "grau_instrucao_companheiro                             -0.418988   \n",
       "local_onde_reside                                            NaN   \n",
       "inadimplente                                                 NaN   \n",
       "\n",
       "                                 possui_carro  profissao  ocupacao  \\\n",
       "dia_vencimento                            NaN        NaN  0.097247   \n",
       "idade                                     NaN        NaN -0.233982   \n",
       "estado_civil                              NaN        NaN -0.074686   \n",
       "qtde_dependentes                          NaN        NaN       NaN   \n",
       "nacionalidade                       -0.237156  -0.122589       NaN   \n",
       "tipo_residencia                           NaN        NaN       NaN   \n",
       "meses_na_residencia                       NaN        NaN       NaN   \n",
       "possui_email                        -0.697455   0.252868  0.131859   \n",
       "possui_outros_cartoes                     NaN        NaN       NaN   \n",
       "qtde_contas_bancarias                0.855780  -0.257437 -0.159728   \n",
       "qtde_contas_bancarias_especiais      0.855780  -0.257437 -0.159728   \n",
       "possui_carro                         1.000000  -0.279106 -0.172443   \n",
       "profissao                           -0.279106   1.000000  0.176149   \n",
       "ocupacao                            -0.172443   0.176149  1.000000   \n",
       "profissao_companheiro               -0.704940   0.397345  0.080961   \n",
       "grau_instrucao_companheiro          -0.592502   0.081113  0.070279   \n",
       "local_onde_reside                         NaN        NaN       NaN   \n",
       "inadimplente                              NaN        NaN       NaN   \n",
       "\n",
       "                                 profissao_companheiro  \\\n",
       "dia_vencimento                                     NaN   \n",
       "idade                                              NaN   \n",
       "estado_civil                                 -0.082369   \n",
       "qtde_dependentes                              0.124852   \n",
       "nacionalidade                                -0.455478   \n",
       "tipo_residencia                                    NaN   \n",
       "meses_na_residencia                          -0.317358   \n",
       "possui_email                                  0.590295   \n",
       "possui_outros_cartoes                              NaN   \n",
       "qtde_contas_bancarias                        -0.580591   \n",
       "qtde_contas_bancarias_especiais              -0.580591   \n",
       "possui_carro                                 -0.704940   \n",
       "profissao                                     0.397345   \n",
       "ocupacao                                      0.080961   \n",
       "profissao_companheiro                         1.000000   \n",
       "grau_instrucao_companheiro                    0.423197   \n",
       "local_onde_reside                                  NaN   \n",
       "inadimplente                                       NaN   \n",
       "\n",
       "                                 grau_instrucao_companheiro  \\\n",
       "dia_vencimento                                          NaN   \n",
       "idade                                             -0.056023   \n",
       "estado_civil                                            NaN   \n",
       "qtde_dependentes                                   0.067755   \n",
       "nacionalidade                                      0.112252   \n",
       "tipo_residencia                                         NaN   \n",
       "meses_na_residencia                                     NaN   \n",
       "possui_email                                       0.142156   \n",
       "possui_outros_cartoes                                   NaN   \n",
       "qtde_contas_bancarias                             -0.418988   \n",
       "qtde_contas_bancarias_especiais                   -0.418988   \n",
       "possui_carro                                      -0.592502   \n",
       "profissao                                          0.081113   \n",
       "ocupacao                                           0.070279   \n",
       "profissao_companheiro                              0.423197   \n",
       "grau_instrucao_companheiro                         1.000000   \n",
       "local_onde_reside                                       NaN   \n",
       "inadimplente                                            NaN   \n",
       "\n",
       "                                 local_onde_reside  inadimplente  \n",
       "dia_vencimento                           -0.063365      0.080338  \n",
       "idade                                          NaN     -0.120678  \n",
       "estado_civil                                   NaN           NaN  \n",
       "qtde_dependentes                               NaN           NaN  \n",
       "nacionalidade                                  NaN           NaN  \n",
       "tipo_residencia                                NaN           NaN  \n",
       "meses_na_residencia                            NaN           NaN  \n",
       "possui_email                                   NaN           NaN  \n",
       "possui_outros_cartoes                          NaN           NaN  \n",
       "qtde_contas_bancarias                          NaN           NaN  \n",
       "qtde_contas_bancarias_especiais                NaN           NaN  \n",
       "possui_carro                                   NaN           NaN  \n",
       "profissao                                      NaN           NaN  \n",
       "ocupacao                                       NaN           NaN  \n",
       "profissao_companheiro                          NaN           NaN  \n",
       "grau_instrucao_companheiro                     NaN           NaN  \n",
       "local_onde_reside                         1.000000           NaN  \n",
       "inadimplente                                   NaN      1.000000  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = credit_df[an_cols].corr()\n",
    "x[(x < -0.05) | (x > 0.05)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análise de Categorias\n",
    "\n",
    "Procurar dependencia linear em cada uma das variáveis para inadimplentes e não inadimplentes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inadimplentes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "inadimpletes_df = train_df[train_df['inadimplente'] == 1.0]\n",
    "n_inadimplentes_df = train_df[train_df['inadimplente'] == 0.0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "an_cols = [\n",
    "       'dia_vencimento',\n",
    "       'idade', 'sexo',\n",
    "       'estado_civil', 'qtde_dependentes', 'nacionalidade',\n",
    "       'estado_onde_nasceu', 'estado_onde_reside',\n",
    "       'possui_telefone_residencial', 'codigo_area_telefone_residencial',\n",
    "       'tipo_residencia', 'meses_na_residencia', 'possui_telefone_celular',\n",
    "       'possui_email',\n",
    "       'possui_outros_cartoes',\n",
    "       'qtde_contas_bancarias', 'qtde_contas_bancarias_especiais',\n",
    "       'possui_carro',\n",
    "       'vinculo_formal_com_empresa', 'estado_onde_trabalha',\n",
    "       'possui_telefone_trabalho', 'codigo_area_telefone_trabalho',\n",
    "       'profissao', 'ocupacao', 'profissao_companheiro',\n",
    "       'grau_instrucao_companheiro', 'local_onde_reside',\n",
    "       'inadimplente', 'origem'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f15891f46d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(inadimpletes_df[an_cols])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dia_vencimento</th>\n",
       "      <th>idade</th>\n",
       "      <th>estado_civil</th>\n",
       "      <th>qtde_dependentes</th>\n",
       "      <th>nacionalidade</th>\n",
       "      <th>tipo_residencia</th>\n",
       "      <th>meses_na_residencia</th>\n",
       "      <th>possui_email</th>\n",
       "      <th>possui_cartao_visa</th>\n",
       "      <th>possui_cartao_mastercard</th>\n",
       "      <th>...</th>\n",
       "      <th>valor_patrimonio_pessoal</th>\n",
       "      <th>possui_carro</th>\n",
       "      <th>meses_no_trabalho</th>\n",
       "      <th>profissao</th>\n",
       "      <th>ocupacao</th>\n",
       "      <th>profissao_companheiro</th>\n",
       "      <th>grau_instrucao_companheiro</th>\n",
       "      <th>local_onde_reside</th>\n",
       "      <th>local_onde_trabalha</th>\n",
       "      <th>inadimplente</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>dia_vencimento</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.126390</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.052225</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.090927</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.050377</td>\n",
       "      <td>-0.050377</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>idade</th>\n",
       "      <td>-0.126390</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.226799</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.084540</td>\n",
       "      <td>0.169025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.211536</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.056660</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estado_civil</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.226799</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.071822</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.075454</td>\n",
       "      <td>-0.075613</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qtde_dependentes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.071822</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.081835</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.122380</td>\n",
       "      <td>0.088197</td>\n",
       "      <td>0.052148</td>\n",
       "      <td>0.052148</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nacionalidade</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.081835</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.166240</td>\n",
       "      <td>-0.094455</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.060580</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.219462</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.123488</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.467716</td>\n",
       "      <td>0.106779</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_residencia</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.084540</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.093907</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>meses_na_residencia</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.169025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.166240</td>\n",
       "      <td>-0.093907</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.058492</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.293091</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_email</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.094455</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.693885</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.223193</td>\n",
       "      <td>0.132682</td>\n",
       "      <td>0.573166</td>\n",
       "      <td>0.106221</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_cartao_visa</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.058492</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.360400</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_cartao_mastercard</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.060580</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.360400</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.057802</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_cartao_diners</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.087068</td>\n",
       "      <td>0.097862</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_cartao_amex</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.077942</td>\n",
       "      <td>0.103851</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_outros_cartoes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qtde_contas_bancarias</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.206770</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.608871</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.857331</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.234568</td>\n",
       "      <td>-0.165989</td>\n",
       "      <td>-0.574975</td>\n",
       "      <td>-0.370703</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qtde_contas_bancarias_especiais</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.206770</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.608871</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.857331</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.234568</td>\n",
       "      <td>-0.165989</td>\n",
       "      <td>-0.574975</td>\n",
       "      <td>-0.370703</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>valor_patrimonio_pessoal</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.058810</td>\n",
       "      <td>0.064916</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_carro</th>\n",
       "      <td>-0.052225</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.219462</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.693885</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.254431</td>\n",
       "      <td>-0.178173</td>\n",
       "      <td>-0.698699</td>\n",
       "      <td>-0.500469</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>meses_no_trabalho</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profissao</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.123488</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.223193</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.254431</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.173395</td>\n",
       "      <td>0.384596</td>\n",
       "      <td>0.083342</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ocupacao</th>\n",
       "      <td>0.090927</td>\n",
       "      <td>-0.211536</td>\n",
       "      <td>-0.075454</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.132682</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.057802</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.178173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.173395</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.070524</td>\n",
       "      <td>0.069400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profissao_companheiro</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.075613</td>\n",
       "      <td>0.122380</td>\n",
       "      <td>-0.467716</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.293091</td>\n",
       "      <td>0.573166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.058810</td>\n",
       "      <td>-0.698699</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.384596</td>\n",
       "      <td>0.070524</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.411648</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grau_instrucao_companheiro</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.056660</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.088197</td>\n",
       "      <td>0.106779</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.106221</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.064916</td>\n",
       "      <td>-0.500469</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.083342</td>\n",
       "      <td>0.069400</td>\n",
       "      <td>0.411648</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>local_onde_reside</th>\n",
       "      <td>-0.050377</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.052148</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>local_onde_trabalha</th>\n",
       "      <td>-0.050377</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.052148</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inadimplente</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 dia_vencimento     idade  estado_civil  \\\n",
       "dia_vencimento                         1.000000 -0.126390           NaN   \n",
       "idade                                 -0.126390  1.000000      0.226799   \n",
       "estado_civil                                NaN  0.226799      1.000000   \n",
       "qtde_dependentes                            NaN       NaN      0.071822   \n",
       "nacionalidade                               NaN       NaN           NaN   \n",
       "tipo_residencia                             NaN -0.084540           NaN   \n",
       "meses_na_residencia                         NaN  0.169025           NaN   \n",
       "possui_email                                NaN       NaN           NaN   \n",
       "possui_cartao_visa                          NaN       NaN           NaN   \n",
       "possui_cartao_mastercard                    NaN       NaN           NaN   \n",
       "possui_cartao_diners                        NaN       NaN           NaN   \n",
       "possui_cartao_amex                          NaN       NaN           NaN   \n",
       "possui_outros_cartoes                       NaN       NaN           NaN   \n",
       "qtde_contas_bancarias                       NaN       NaN           NaN   \n",
       "qtde_contas_bancarias_especiais             NaN       NaN           NaN   \n",
       "valor_patrimonio_pessoal                    NaN       NaN           NaN   \n",
       "possui_carro                          -0.052225       NaN           NaN   \n",
       "meses_no_trabalho                           NaN       NaN           NaN   \n",
       "profissao                                   NaN       NaN           NaN   \n",
       "ocupacao                               0.090927 -0.211536     -0.075454   \n",
       "profissao_companheiro                       NaN       NaN     -0.075613   \n",
       "grau_instrucao_companheiro                  NaN -0.056660           NaN   \n",
       "local_onde_reside                     -0.050377       NaN           NaN   \n",
       "local_onde_trabalha                   -0.050377       NaN           NaN   \n",
       "inadimplente                                NaN       NaN           NaN   \n",
       "\n",
       "                                 qtde_dependentes  nacionalidade  \\\n",
       "dia_vencimento                                NaN            NaN   \n",
       "idade                                         NaN            NaN   \n",
       "estado_civil                             0.071822            NaN   \n",
       "qtde_dependentes                         1.000000      -0.081835   \n",
       "nacionalidade                           -0.081835       1.000000   \n",
       "tipo_residencia                               NaN            NaN   \n",
       "meses_na_residencia                           NaN       0.166240   \n",
       "possui_email                                  NaN      -0.094455   \n",
       "possui_cartao_visa                            NaN            NaN   \n",
       "possui_cartao_mastercard                      NaN      -0.060580   \n",
       "possui_cartao_diners                          NaN            NaN   \n",
       "possui_cartao_amex                            NaN            NaN   \n",
       "possui_outros_cartoes                         NaN            NaN   \n",
       "qtde_contas_bancarias                         NaN      -0.206770   \n",
       "qtde_contas_bancarias_especiais               NaN      -0.206770   \n",
       "valor_patrimonio_pessoal                      NaN            NaN   \n",
       "possui_carro                                  NaN      -0.219462   \n",
       "meses_no_trabalho                             NaN            NaN   \n",
       "profissao                                     NaN      -0.123488   \n",
       "ocupacao                                      NaN            NaN   \n",
       "profissao_companheiro                    0.122380      -0.467716   \n",
       "grau_instrucao_companheiro               0.088197       0.106779   \n",
       "local_onde_reside                        0.052148            NaN   \n",
       "local_onde_trabalha                      0.052148            NaN   \n",
       "inadimplente                                  NaN            NaN   \n",
       "\n",
       "                                 tipo_residencia  meses_na_residencia  \\\n",
       "dia_vencimento                               NaN                  NaN   \n",
       "idade                                  -0.084540             0.169025   \n",
       "estado_civil                                 NaN                  NaN   \n",
       "qtde_dependentes                             NaN                  NaN   \n",
       "nacionalidade                                NaN             0.166240   \n",
       "tipo_residencia                         1.000000            -0.093907   \n",
       "meses_na_residencia                    -0.093907             1.000000   \n",
       "possui_email                                 NaN                  NaN   \n",
       "possui_cartao_visa                           NaN             0.058492   \n",
       "possui_cartao_mastercard                     NaN                  NaN   \n",
       "possui_cartao_diners                         NaN                  NaN   \n",
       "possui_cartao_amex                           NaN                  NaN   \n",
       "possui_outros_cartoes                        NaN                  NaN   \n",
       "qtde_contas_bancarias                        NaN                  NaN   \n",
       "qtde_contas_bancarias_especiais              NaN                  NaN   \n",
       "valor_patrimonio_pessoal                     NaN                  NaN   \n",
       "possui_carro                                 NaN                  NaN   \n",
       "meses_no_trabalho                            NaN                  NaN   \n",
       "profissao                                    NaN                  NaN   \n",
       "ocupacao                                     NaN                  NaN   \n",
       "profissao_companheiro                        NaN            -0.293091   \n",
       "grau_instrucao_companheiro                   NaN                  NaN   \n",
       "local_onde_reside                            NaN                  NaN   \n",
       "local_onde_trabalha                          NaN                  NaN   \n",
       "inadimplente                                 NaN                  NaN   \n",
       "\n",
       "                                 possui_email  possui_cartao_visa  \\\n",
       "dia_vencimento                            NaN                 NaN   \n",
       "idade                                     NaN                 NaN   \n",
       "estado_civil                              NaN                 NaN   \n",
       "qtde_dependentes                          NaN                 NaN   \n",
       "nacionalidade                       -0.094455                 NaN   \n",
       "tipo_residencia                           NaN                 NaN   \n",
       "meses_na_residencia                       NaN            0.058492   \n",
       "possui_email                         1.000000                 NaN   \n",
       "possui_cartao_visa                        NaN            1.000000   \n",
       "possui_cartao_mastercard                  NaN            0.360400   \n",
       "possui_cartao_diners                      NaN            0.087068   \n",
       "possui_cartao_amex                        NaN            0.077942   \n",
       "possui_outros_cartoes                     NaN                 NaN   \n",
       "qtde_contas_bancarias               -0.608871                 NaN   \n",
       "qtde_contas_bancarias_especiais     -0.608871                 NaN   \n",
       "valor_patrimonio_pessoal                  NaN                 NaN   \n",
       "possui_carro                        -0.693885                 NaN   \n",
       "meses_no_trabalho                         NaN                 NaN   \n",
       "profissao                            0.223193                 NaN   \n",
       "ocupacao                             0.132682                 NaN   \n",
       "profissao_companheiro                0.573166                 NaN   \n",
       "grau_instrucao_companheiro           0.106221                 NaN   \n",
       "local_onde_reside                         NaN                 NaN   \n",
       "local_onde_trabalha                       NaN                 NaN   \n",
       "inadimplente                              NaN                 NaN   \n",
       "\n",
       "                                 possui_cartao_mastercard  ...  \\\n",
       "dia_vencimento                                        NaN  ...   \n",
       "idade                                                 NaN  ...   \n",
       "estado_civil                                          NaN  ...   \n",
       "qtde_dependentes                                      NaN  ...   \n",
       "nacionalidade                                   -0.060580  ...   \n",
       "tipo_residencia                                       NaN  ...   \n",
       "meses_na_residencia                                   NaN  ...   \n",
       "possui_email                                          NaN  ...   \n",
       "possui_cartao_visa                               0.360400  ...   \n",
       "possui_cartao_mastercard                         1.000000  ...   \n",
       "possui_cartao_diners                             0.097862  ...   \n",
       "possui_cartao_amex                               0.103851  ...   \n",
       "possui_outros_cartoes                                 NaN  ...   \n",
       "qtde_contas_bancarias                                 NaN  ...   \n",
       "qtde_contas_bancarias_especiais                       NaN  ...   \n",
       "valor_patrimonio_pessoal                              NaN  ...   \n",
       "possui_carro                                          NaN  ...   \n",
       "meses_no_trabalho                                     NaN  ...   \n",
       "profissao                                             NaN  ...   \n",
       "ocupacao                                         0.057802  ...   \n",
       "profissao_companheiro                                 NaN  ...   \n",
       "grau_instrucao_companheiro                            NaN  ...   \n",
       "local_onde_reside                                     NaN  ...   \n",
       "local_onde_trabalha                                   NaN  ...   \n",
       "inadimplente                                          NaN  ...   \n",
       "\n",
       "                                 valor_patrimonio_pessoal  possui_carro  \\\n",
       "dia_vencimento                                        NaN     -0.052225   \n",
       "idade                                                 NaN           NaN   \n",
       "estado_civil                                          NaN           NaN   \n",
       "qtde_dependentes                                      NaN           NaN   \n",
       "nacionalidade                                         NaN     -0.219462   \n",
       "tipo_residencia                                       NaN           NaN   \n",
       "meses_na_residencia                                   NaN           NaN   \n",
       "possui_email                                          NaN     -0.693885   \n",
       "possui_cartao_visa                                    NaN           NaN   \n",
       "possui_cartao_mastercard                              NaN           NaN   \n",
       "possui_cartao_diners                                  NaN           NaN   \n",
       "possui_cartao_amex                                    NaN           NaN   \n",
       "possui_outros_cartoes                                 NaN           NaN   \n",
       "qtde_contas_bancarias                                 NaN      0.857331   \n",
       "qtde_contas_bancarias_especiais                       NaN      0.857331   \n",
       "valor_patrimonio_pessoal                         1.000000           NaN   \n",
       "possui_carro                                          NaN      1.000000   \n",
       "meses_no_trabalho                                     NaN           NaN   \n",
       "profissao                                             NaN     -0.254431   \n",
       "ocupacao                                              NaN     -0.178173   \n",
       "profissao_companheiro                           -0.058810     -0.698699   \n",
       "grau_instrucao_companheiro                       0.064916     -0.500469   \n",
       "local_onde_reside                                     NaN           NaN   \n",
       "local_onde_trabalha                                   NaN           NaN   \n",
       "inadimplente                                          NaN           NaN   \n",
       "\n",
       "                                 meses_no_trabalho  profissao  ocupacao  \\\n",
       "dia_vencimento                                 NaN        NaN  0.090927   \n",
       "idade                                          NaN        NaN -0.211536   \n",
       "estado_civil                                   NaN        NaN -0.075454   \n",
       "qtde_dependentes                               NaN        NaN       NaN   \n",
       "nacionalidade                                  NaN  -0.123488       NaN   \n",
       "tipo_residencia                                NaN        NaN       NaN   \n",
       "meses_na_residencia                            NaN        NaN       NaN   \n",
       "possui_email                                   NaN   0.223193  0.132682   \n",
       "possui_cartao_visa                             NaN        NaN       NaN   \n",
       "possui_cartao_mastercard                       NaN        NaN  0.057802   \n",
       "possui_cartao_diners                           NaN        NaN       NaN   \n",
       "possui_cartao_amex                             NaN        NaN       NaN   \n",
       "possui_outros_cartoes                          NaN        NaN       NaN   \n",
       "qtde_contas_bancarias                          NaN  -0.234568 -0.165989   \n",
       "qtde_contas_bancarias_especiais                NaN  -0.234568 -0.165989   \n",
       "valor_patrimonio_pessoal                       NaN        NaN       NaN   \n",
       "possui_carro                                   NaN  -0.254431 -0.178173   \n",
       "meses_no_trabalho                              1.0        NaN       NaN   \n",
       "profissao                                      NaN   1.000000  0.173395   \n",
       "ocupacao                                       NaN   0.173395  1.000000   \n",
       "profissao_companheiro                          NaN   0.384596  0.070524   \n",
       "grau_instrucao_companheiro                     NaN   0.083342  0.069400   \n",
       "local_onde_reside                              NaN        NaN       NaN   \n",
       "local_onde_trabalha                            NaN        NaN       NaN   \n",
       "inadimplente                                   NaN        NaN       NaN   \n",
       "\n",
       "                                 profissao_companheiro  \\\n",
       "dia_vencimento                                     NaN   \n",
       "idade                                              NaN   \n",
       "estado_civil                                 -0.075613   \n",
       "qtde_dependentes                              0.122380   \n",
       "nacionalidade                                -0.467716   \n",
       "tipo_residencia                                    NaN   \n",
       "meses_na_residencia                          -0.293091   \n",
       "possui_email                                  0.573166   \n",
       "possui_cartao_visa                                 NaN   \n",
       "possui_cartao_mastercard                           NaN   \n",
       "possui_cartao_diners                               NaN   \n",
       "possui_cartao_amex                                 NaN   \n",
       "possui_outros_cartoes                              NaN   \n",
       "qtde_contas_bancarias                        -0.574975   \n",
       "qtde_contas_bancarias_especiais              -0.574975   \n",
       "valor_patrimonio_pessoal                     -0.058810   \n",
       "possui_carro                                 -0.698699   \n",
       "meses_no_trabalho                                  NaN   \n",
       "profissao                                     0.384596   \n",
       "ocupacao                                      0.070524   \n",
       "profissao_companheiro                         1.000000   \n",
       "grau_instrucao_companheiro                    0.411648   \n",
       "local_onde_reside                                  NaN   \n",
       "local_onde_trabalha                                NaN   \n",
       "inadimplente                                       NaN   \n",
       "\n",
       "                                 grau_instrucao_companheiro  \\\n",
       "dia_vencimento                                          NaN   \n",
       "idade                                             -0.056660   \n",
       "estado_civil                                            NaN   \n",
       "qtde_dependentes                                   0.088197   \n",
       "nacionalidade                                      0.106779   \n",
       "tipo_residencia                                         NaN   \n",
       "meses_na_residencia                                     NaN   \n",
       "possui_email                                       0.106221   \n",
       "possui_cartao_visa                                      NaN   \n",
       "possui_cartao_mastercard                                NaN   \n",
       "possui_cartao_diners                                    NaN   \n",
       "possui_cartao_amex                                      NaN   \n",
       "possui_outros_cartoes                                   NaN   \n",
       "qtde_contas_bancarias                             -0.370703   \n",
       "qtde_contas_bancarias_especiais                   -0.370703   \n",
       "valor_patrimonio_pessoal                           0.064916   \n",
       "possui_carro                                      -0.500469   \n",
       "meses_no_trabalho                                       NaN   \n",
       "profissao                                          0.083342   \n",
       "ocupacao                                           0.069400   \n",
       "profissao_companheiro                              0.411648   \n",
       "grau_instrucao_companheiro                         1.000000   \n",
       "local_onde_reside                                       NaN   \n",
       "local_onde_trabalha                                     NaN   \n",
       "inadimplente                                            NaN   \n",
       "\n",
       "                                 local_onde_reside  local_onde_trabalha  \\\n",
       "dia_vencimento                           -0.050377            -0.050377   \n",
       "idade                                          NaN                  NaN   \n",
       "estado_civil                                   NaN                  NaN   \n",
       "qtde_dependentes                          0.052148             0.052148   \n",
       "nacionalidade                                  NaN                  NaN   \n",
       "tipo_residencia                                NaN                  NaN   \n",
       "meses_na_residencia                            NaN                  NaN   \n",
       "possui_email                                   NaN                  NaN   \n",
       "possui_cartao_visa                             NaN                  NaN   \n",
       "possui_cartao_mastercard                       NaN                  NaN   \n",
       "possui_cartao_diners                           NaN                  NaN   \n",
       "possui_cartao_amex                             NaN                  NaN   \n",
       "possui_outros_cartoes                          NaN                  NaN   \n",
       "qtde_contas_bancarias                          NaN                  NaN   \n",
       "qtde_contas_bancarias_especiais                NaN                  NaN   \n",
       "valor_patrimonio_pessoal                       NaN                  NaN   \n",
       "possui_carro                                   NaN                  NaN   \n",
       "meses_no_trabalho                              NaN                  NaN   \n",
       "profissao                                      NaN                  NaN   \n",
       "ocupacao                                       NaN                  NaN   \n",
       "profissao_companheiro                          NaN                  NaN   \n",
       "grau_instrucao_companheiro                     NaN                  NaN   \n",
       "local_onde_reside                         1.000000             1.000000   \n",
       "local_onde_trabalha                       1.000000             1.000000   \n",
       "inadimplente                                   NaN                  NaN   \n",
       "\n",
       "                                 inadimplente  \n",
       "dia_vencimento                            NaN  \n",
       "idade                                     NaN  \n",
       "estado_civil                              NaN  \n",
       "qtde_dependentes                          NaN  \n",
       "nacionalidade                             NaN  \n",
       "tipo_residencia                           NaN  \n",
       "meses_na_residencia                       NaN  \n",
       "possui_email                              NaN  \n",
       "possui_cartao_visa                        NaN  \n",
       "possui_cartao_mastercard                  NaN  \n",
       "possui_cartao_diners                      NaN  \n",
       "possui_cartao_amex                        NaN  \n",
       "possui_outros_cartoes                     NaN  \n",
       "qtde_contas_bancarias                     NaN  \n",
       "qtde_contas_bancarias_especiais           NaN  \n",
       "valor_patrimonio_pessoal                  NaN  \n",
       "possui_carro                              NaN  \n",
       "meses_no_trabalho                         NaN  \n",
       "profissao                                 NaN  \n",
       "ocupacao                                  NaN  \n",
       "profissao_companheiro                     NaN  \n",
       "grau_instrucao_companheiro                NaN  \n",
       "local_onde_reside                         NaN  \n",
       "local_onde_trabalha                       NaN  \n",
       "inadimplente                              NaN  \n",
       "\n",
       "[25 rows x 25 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = inadimpletes_df[an_cols].corr()\n",
    "x[(x < -0.05) | (x > 0.05)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Não inadimplentes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>produto_solicitado</th>\n",
       "      <th>dia_vencimento</th>\n",
       "      <th>tipo_endereco</th>\n",
       "      <th>idade</th>\n",
       "      <th>estado_civil</th>\n",
       "      <th>qtde_dependentes</th>\n",
       "      <th>grau_instrucao</th>\n",
       "      <th>nacionalidade</th>\n",
       "      <th>tipo_residencia</th>\n",
       "      <th>meses_na_residencia</th>\n",
       "      <th>...</th>\n",
       "      <th>valor_patrimonio_pessoal</th>\n",
       "      <th>possui_carro</th>\n",
       "      <th>meses_no_trabalho</th>\n",
       "      <th>profissao</th>\n",
       "      <th>ocupacao</th>\n",
       "      <th>profissao_companheiro</th>\n",
       "      <th>grau_instrucao_companheiro</th>\n",
       "      <th>local_onde_reside</th>\n",
       "      <th>local_onde_trabalha</th>\n",
       "      <th>inadimplente</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>produto_solicitado</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.072811</td>\n",
       "      <td>-0.072811</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dia_vencimento</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.146084</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.095023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.069323</td>\n",
       "      <td>-0.069323</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_endereco</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>idade</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.146084</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.251125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.128121</td>\n",
       "      <td>0.227029</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.243786</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.082874</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estado_civil</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.251125</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.055743</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.075752</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.063086</td>\n",
       "      <td>-0.095009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qtde_dependentes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.067225</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.152032</td>\n",
       "      <td>0.079738</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grau_instrucao</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nacionalidade</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.055743</td>\n",
       "      <td>-0.067225</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.177122</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.259610</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.117996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.436533</td>\n",
       "      <td>0.119884</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_residencia</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.128121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.092763</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>meses_na_residencia</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.227029</td>\n",
       "      <td>0.075752</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.177122</td>\n",
       "      <td>-0.092763</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.056441</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.335000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_email</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.095841</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.704319</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.279203</td>\n",
       "      <td>0.126663</td>\n",
       "      <td>0.615884</td>\n",
       "      <td>0.196447</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>renda_mensal_regular</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>renda_extra</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.050749</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.054873</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_cartao_visa</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.071292</td>\n",
       "      <td>...</td>\n",
       "      <td>0.054824</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_cartao_mastercard</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.061142</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.053096</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.063629</td>\n",
       "      <td>-0.060169</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_cartao_diners</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_cartao_amex</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_outros_cartoes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qtde_contas_bancarias</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.226592</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.852351</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.270232</td>\n",
       "      <td>-0.155759</td>\n",
       "      <td>-0.587927</td>\n",
       "      <td>-0.497537</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qtde_contas_bancarias_especiais</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.226592</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.852351</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.270232</td>\n",
       "      <td>-0.155759</td>\n",
       "      <td>-0.587927</td>\n",
       "      <td>-0.497537</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>valor_patrimonio_pessoal</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.056441</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.084233</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.072267</td>\n",
       "      <td>0.071217</td>\n",
       "      <td>0.071217</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_carro</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.259610</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.292442</td>\n",
       "      <td>-0.164515</td>\n",
       "      <td>-0.707320</td>\n",
       "      <td>-0.692039</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>meses_no_trabalho</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.084233</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.071691</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profissao</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.117996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.292442</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.175046</td>\n",
       "      <td>0.407766</td>\n",
       "      <td>0.100491</td>\n",
       "      <td>0.053269</td>\n",
       "      <td>0.053269</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ocupacao</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.095023</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.243786</td>\n",
       "      <td>-0.063086</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.164515</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.175046</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.098593</td>\n",
       "      <td>0.089717</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profissao_companheiro</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.095009</td>\n",
       "      <td>0.152032</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.436533</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.335000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.707320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.407766</td>\n",
       "      <td>0.098593</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.442742</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grau_instrucao_companheiro</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.082874</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.079738</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.119884</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.072267</td>\n",
       "      <td>-0.692039</td>\n",
       "      <td>0.071691</td>\n",
       "      <td>0.100491</td>\n",
       "      <td>0.089717</td>\n",
       "      <td>0.442742</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>local_onde_reside</th>\n",
       "      <td>-0.072811</td>\n",
       "      <td>-0.069323</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.071217</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.053269</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>local_onde_trabalha</th>\n",
       "      <td>-0.072811</td>\n",
       "      <td>-0.069323</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.071217</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.053269</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inadimplente</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 produto_solicitado  dia_vencimento  \\\n",
       "produto_solicitado                         1.000000             NaN   \n",
       "dia_vencimento                                  NaN        1.000000   \n",
       "tipo_endereco                                   NaN             NaN   \n",
       "idade                                           NaN       -0.146084   \n",
       "estado_civil                                    NaN             NaN   \n",
       "qtde_dependentes                                NaN             NaN   \n",
       "grau_instrucao                                  NaN             NaN   \n",
       "nacionalidade                                   NaN             NaN   \n",
       "tipo_residencia                                 NaN             NaN   \n",
       "meses_na_residencia                             NaN             NaN   \n",
       "possui_email                                    NaN             NaN   \n",
       "renda_mensal_regular                            NaN             NaN   \n",
       "renda_extra                                     NaN             NaN   \n",
       "possui_cartao_visa                              NaN             NaN   \n",
       "possui_cartao_mastercard                        NaN             NaN   \n",
       "possui_cartao_diners                            NaN             NaN   \n",
       "possui_cartao_amex                              NaN             NaN   \n",
       "possui_outros_cartoes                           NaN             NaN   \n",
       "qtde_contas_bancarias                           NaN             NaN   \n",
       "qtde_contas_bancarias_especiais                 NaN             NaN   \n",
       "valor_patrimonio_pessoal                        NaN             NaN   \n",
       "possui_carro                                    NaN             NaN   \n",
       "meses_no_trabalho                               NaN             NaN   \n",
       "profissao                                       NaN             NaN   \n",
       "ocupacao                                        NaN        0.095023   \n",
       "profissao_companheiro                           NaN             NaN   \n",
       "grau_instrucao_companheiro                      NaN             NaN   \n",
       "local_onde_reside                         -0.072811       -0.069323   \n",
       "local_onde_trabalha                       -0.072811       -0.069323   \n",
       "inadimplente                                    NaN             NaN   \n",
       "\n",
       "                                 tipo_endereco     idade  estado_civil  \\\n",
       "produto_solicitado                         NaN       NaN           NaN   \n",
       "dia_vencimento                             NaN -0.146084           NaN   \n",
       "tipo_endereco                              1.0       NaN           NaN   \n",
       "idade                                      NaN  1.000000      0.251125   \n",
       "estado_civil                               NaN  0.251125      1.000000   \n",
       "qtde_dependentes                           NaN       NaN           NaN   \n",
       "grau_instrucao                             NaN       NaN           NaN   \n",
       "nacionalidade                              NaN       NaN      0.055743   \n",
       "tipo_residencia                            NaN -0.128121           NaN   \n",
       "meses_na_residencia                        NaN  0.227029      0.075752   \n",
       "possui_email                               NaN       NaN           NaN   \n",
       "renda_mensal_regular                       NaN       NaN           NaN   \n",
       "renda_extra                                NaN       NaN      0.050749   \n",
       "possui_cartao_visa                         NaN       NaN           NaN   \n",
       "possui_cartao_mastercard                   NaN       NaN           NaN   \n",
       "possui_cartao_diners                       NaN       NaN           NaN   \n",
       "possui_cartao_amex                         NaN       NaN           NaN   \n",
       "possui_outros_cartoes                      NaN       NaN           NaN   \n",
       "qtde_contas_bancarias                      NaN       NaN           NaN   \n",
       "qtde_contas_bancarias_especiais            NaN       NaN           NaN   \n",
       "valor_patrimonio_pessoal                   NaN       NaN           NaN   \n",
       "possui_carro                               NaN       NaN           NaN   \n",
       "meses_no_trabalho                          NaN       NaN           NaN   \n",
       "profissao                                  NaN       NaN           NaN   \n",
       "ocupacao                                   NaN -0.243786     -0.063086   \n",
       "profissao_companheiro                      NaN       NaN     -0.095009   \n",
       "grau_instrucao_companheiro                 NaN -0.082874           NaN   \n",
       "local_onde_reside                          NaN       NaN           NaN   \n",
       "local_onde_trabalha                        NaN       NaN           NaN   \n",
       "inadimplente                               NaN       NaN           NaN   \n",
       "\n",
       "                                 qtde_dependentes  grau_instrucao  \\\n",
       "produto_solicitado                            NaN             NaN   \n",
       "dia_vencimento                                NaN             NaN   \n",
       "tipo_endereco                                 NaN             NaN   \n",
       "idade                                         NaN             NaN   \n",
       "estado_civil                                  NaN             NaN   \n",
       "qtde_dependentes                         1.000000             NaN   \n",
       "grau_instrucao                                NaN             NaN   \n",
       "nacionalidade                           -0.067225             NaN   \n",
       "tipo_residencia                               NaN             NaN   \n",
       "meses_na_residencia                           NaN             NaN   \n",
       "possui_email                                  NaN             NaN   \n",
       "renda_mensal_regular                          NaN             NaN   \n",
       "renda_extra                                   NaN             NaN   \n",
       "possui_cartao_visa                            NaN             NaN   \n",
       "possui_cartao_mastercard                      NaN             NaN   \n",
       "possui_cartao_diners                          NaN             NaN   \n",
       "possui_cartao_amex                            NaN             NaN   \n",
       "possui_outros_cartoes                         NaN             NaN   \n",
       "qtde_contas_bancarias                         NaN             NaN   \n",
       "qtde_contas_bancarias_especiais               NaN             NaN   \n",
       "valor_patrimonio_pessoal                      NaN             NaN   \n",
       "possui_carro                                  NaN             NaN   \n",
       "meses_no_trabalho                             NaN             NaN   \n",
       "profissao                                     NaN             NaN   \n",
       "ocupacao                                      NaN             NaN   \n",
       "profissao_companheiro                    0.152032             NaN   \n",
       "grau_instrucao_companheiro               0.079738             NaN   \n",
       "local_onde_reside                             NaN             NaN   \n",
       "local_onde_trabalha                           NaN             NaN   \n",
       "inadimplente                                  NaN             NaN   \n",
       "\n",
       "                                 nacionalidade  tipo_residencia  \\\n",
       "produto_solicitado                         NaN              NaN   \n",
       "dia_vencimento                             NaN              NaN   \n",
       "tipo_endereco                              NaN              NaN   \n",
       "idade                                      NaN        -0.128121   \n",
       "estado_civil                          0.055743              NaN   \n",
       "qtde_dependentes                     -0.067225              NaN   \n",
       "grau_instrucao                             NaN              NaN   \n",
       "nacionalidade                         1.000000              NaN   \n",
       "tipo_residencia                            NaN         1.000000   \n",
       "meses_na_residencia                   0.177122        -0.092763   \n",
       "possui_email                         -0.095841              NaN   \n",
       "renda_mensal_regular                       NaN              NaN   \n",
       "renda_extra                                NaN              NaN   \n",
       "possui_cartao_visa                         NaN              NaN   \n",
       "possui_cartao_mastercard                   NaN              NaN   \n",
       "possui_cartao_diners                       NaN              NaN   \n",
       "possui_cartao_amex                         NaN              NaN   \n",
       "possui_outros_cartoes                      NaN              NaN   \n",
       "qtde_contas_bancarias                -0.226592              NaN   \n",
       "qtde_contas_bancarias_especiais      -0.226592              NaN   \n",
       "valor_patrimonio_pessoal                   NaN              NaN   \n",
       "possui_carro                         -0.259610              NaN   \n",
       "meses_no_trabalho                          NaN              NaN   \n",
       "profissao                            -0.117996              NaN   \n",
       "ocupacao                                   NaN              NaN   \n",
       "profissao_companheiro                -0.436533              NaN   \n",
       "grau_instrucao_companheiro            0.119884              NaN   \n",
       "local_onde_reside                          NaN              NaN   \n",
       "local_onde_trabalha                        NaN              NaN   \n",
       "inadimplente                               NaN              NaN   \n",
       "\n",
       "                                 meses_na_residencia  ...  \\\n",
       "produto_solicitado                               NaN  ...   \n",
       "dia_vencimento                                   NaN  ...   \n",
       "tipo_endereco                                    NaN  ...   \n",
       "idade                                       0.227029  ...   \n",
       "estado_civil                                0.075752  ...   \n",
       "qtde_dependentes                                 NaN  ...   \n",
       "grau_instrucao                                   NaN  ...   \n",
       "nacionalidade                               0.177122  ...   \n",
       "tipo_residencia                            -0.092763  ...   \n",
       "meses_na_residencia                         1.000000  ...   \n",
       "possui_email                                     NaN  ...   \n",
       "renda_mensal_regular                             NaN  ...   \n",
       "renda_extra                                 0.054873  ...   \n",
       "possui_cartao_visa                          0.071292  ...   \n",
       "possui_cartao_mastercard                    0.061142  ...   \n",
       "possui_cartao_diners                             NaN  ...   \n",
       "possui_cartao_amex                               NaN  ...   \n",
       "possui_outros_cartoes                            NaN  ...   \n",
       "qtde_contas_bancarias                            NaN  ...   \n",
       "qtde_contas_bancarias_especiais                  NaN  ...   \n",
       "valor_patrimonio_pessoal                    0.056441  ...   \n",
       "possui_carro                                     NaN  ...   \n",
       "meses_no_trabalho                                NaN  ...   \n",
       "profissao                                        NaN  ...   \n",
       "ocupacao                                         NaN  ...   \n",
       "profissao_companheiro                      -0.335000  ...   \n",
       "grau_instrucao_companheiro                       NaN  ...   \n",
       "local_onde_reside                                NaN  ...   \n",
       "local_onde_trabalha                              NaN  ...   \n",
       "inadimplente                                     NaN  ...   \n",
       "\n",
       "                                 valor_patrimonio_pessoal  possui_carro  \\\n",
       "produto_solicitado                                    NaN           NaN   \n",
       "dia_vencimento                                        NaN           NaN   \n",
       "tipo_endereco                                         NaN           NaN   \n",
       "idade                                                 NaN           NaN   \n",
       "estado_civil                                          NaN           NaN   \n",
       "qtde_dependentes                                      NaN           NaN   \n",
       "grau_instrucao                                        NaN           NaN   \n",
       "nacionalidade                                         NaN     -0.259610   \n",
       "tipo_residencia                                       NaN           NaN   \n",
       "meses_na_residencia                              0.056441           NaN   \n",
       "possui_email                                          NaN     -0.704319   \n",
       "renda_mensal_regular                                  NaN           NaN   \n",
       "renda_extra                                           NaN           NaN   \n",
       "possui_cartao_visa                               0.054824           NaN   \n",
       "possui_cartao_mastercard                              NaN      0.053096   \n",
       "possui_cartao_diners                                  NaN           NaN   \n",
       "possui_cartao_amex                                    NaN           NaN   \n",
       "possui_outros_cartoes                                 NaN           NaN   \n",
       "qtde_contas_bancarias                                 NaN      0.852351   \n",
       "qtde_contas_bancarias_especiais                       NaN      0.852351   \n",
       "valor_patrimonio_pessoal                         1.000000           NaN   \n",
       "possui_carro                                          NaN      1.000000   \n",
       "meses_no_trabalho                                0.084233           NaN   \n",
       "profissao                                             NaN     -0.292442   \n",
       "ocupacao                                              NaN     -0.164515   \n",
       "profissao_companheiro                                 NaN     -0.707320   \n",
       "grau_instrucao_companheiro                       0.072267     -0.692039   \n",
       "local_onde_reside                                0.071217           NaN   \n",
       "local_onde_trabalha                              0.071217           NaN   \n",
       "inadimplente                                          NaN           NaN   \n",
       "\n",
       "                                 meses_no_trabalho  profissao  ocupacao  \\\n",
       "produto_solicitado                             NaN        NaN       NaN   \n",
       "dia_vencimento                                 NaN        NaN  0.095023   \n",
       "tipo_endereco                                  NaN        NaN       NaN   \n",
       "idade                                          NaN        NaN -0.243786   \n",
       "estado_civil                                   NaN        NaN -0.063086   \n",
       "qtde_dependentes                               NaN        NaN       NaN   \n",
       "grau_instrucao                                 NaN        NaN       NaN   \n",
       "nacionalidade                                  NaN  -0.117996       NaN   \n",
       "tipo_residencia                                NaN        NaN       NaN   \n",
       "meses_na_residencia                            NaN        NaN       NaN   \n",
       "possui_email                                   NaN   0.279203  0.126663   \n",
       "renda_mensal_regular                           NaN        NaN       NaN   \n",
       "renda_extra                                    NaN        NaN       NaN   \n",
       "possui_cartao_visa                             NaN        NaN       NaN   \n",
       "possui_cartao_mastercard                       NaN        NaN  0.063629   \n",
       "possui_cartao_diners                           NaN        NaN       NaN   \n",
       "possui_cartao_amex                             NaN        NaN       NaN   \n",
       "possui_outros_cartoes                          NaN        NaN       NaN   \n",
       "qtde_contas_bancarias                          NaN  -0.270232 -0.155759   \n",
       "qtde_contas_bancarias_especiais                NaN  -0.270232 -0.155759   \n",
       "valor_patrimonio_pessoal                  0.084233        NaN       NaN   \n",
       "possui_carro                                   NaN  -0.292442 -0.164515   \n",
       "meses_no_trabalho                         1.000000        NaN       NaN   \n",
       "profissao                                      NaN   1.000000  0.175046   \n",
       "ocupacao                                       NaN   0.175046  1.000000   \n",
       "profissao_companheiro                          NaN   0.407766  0.098593   \n",
       "grau_instrucao_companheiro                0.071691   0.100491  0.089717   \n",
       "local_onde_reside                              NaN   0.053269       NaN   \n",
       "local_onde_trabalha                            NaN   0.053269       NaN   \n",
       "inadimplente                                   NaN        NaN       NaN   \n",
       "\n",
       "                                 profissao_companheiro  \\\n",
       "produto_solicitado                                 NaN   \n",
       "dia_vencimento                                     NaN   \n",
       "tipo_endereco                                      NaN   \n",
       "idade                                              NaN   \n",
       "estado_civil                                 -0.095009   \n",
       "qtde_dependentes                              0.152032   \n",
       "grau_instrucao                                     NaN   \n",
       "nacionalidade                                -0.436533   \n",
       "tipo_residencia                                    NaN   \n",
       "meses_na_residencia                          -0.335000   \n",
       "possui_email                                  0.615884   \n",
       "renda_mensal_regular                               NaN   \n",
       "renda_extra                                        NaN   \n",
       "possui_cartao_visa                                 NaN   \n",
       "possui_cartao_mastercard                     -0.060169   \n",
       "possui_cartao_diners                               NaN   \n",
       "possui_cartao_amex                                 NaN   \n",
       "possui_outros_cartoes                              NaN   \n",
       "qtde_contas_bancarias                        -0.587927   \n",
       "qtde_contas_bancarias_especiais              -0.587927   \n",
       "valor_patrimonio_pessoal                           NaN   \n",
       "possui_carro                                 -0.707320   \n",
       "meses_no_trabalho                                  NaN   \n",
       "profissao                                     0.407766   \n",
       "ocupacao                                      0.098593   \n",
       "profissao_companheiro                         1.000000   \n",
       "grau_instrucao_companheiro                    0.442742   \n",
       "local_onde_reside                                  NaN   \n",
       "local_onde_trabalha                                NaN   \n",
       "inadimplente                                       NaN   \n",
       "\n",
       "                                 grau_instrucao_companheiro  \\\n",
       "produto_solicitado                                      NaN   \n",
       "dia_vencimento                                          NaN   \n",
       "tipo_endereco                                           NaN   \n",
       "idade                                             -0.082874   \n",
       "estado_civil                                            NaN   \n",
       "qtde_dependentes                                   0.079738   \n",
       "grau_instrucao                                          NaN   \n",
       "nacionalidade                                      0.119884   \n",
       "tipo_residencia                                         NaN   \n",
       "meses_na_residencia                                     NaN   \n",
       "possui_email                                       0.196447   \n",
       "renda_mensal_regular                                    NaN   \n",
       "renda_extra                                             NaN   \n",
       "possui_cartao_visa                                      NaN   \n",
       "possui_cartao_mastercard                                NaN   \n",
       "possui_cartao_diners                                    NaN   \n",
       "possui_cartao_amex                                      NaN   \n",
       "possui_outros_cartoes                                   NaN   \n",
       "qtde_contas_bancarias                             -0.497537   \n",
       "qtde_contas_bancarias_especiais                   -0.497537   \n",
       "valor_patrimonio_pessoal                           0.072267   \n",
       "possui_carro                                      -0.692039   \n",
       "meses_no_trabalho                                  0.071691   \n",
       "profissao                                          0.100491   \n",
       "ocupacao                                           0.089717   \n",
       "profissao_companheiro                              0.442742   \n",
       "grau_instrucao_companheiro                         1.000000   \n",
       "local_onde_reside                                       NaN   \n",
       "local_onde_trabalha                                     NaN   \n",
       "inadimplente                                            NaN   \n",
       "\n",
       "                                 local_onde_reside  local_onde_trabalha  \\\n",
       "produto_solicitado                       -0.072811            -0.072811   \n",
       "dia_vencimento                           -0.069323            -0.069323   \n",
       "tipo_endereco                                  NaN                  NaN   \n",
       "idade                                          NaN                  NaN   \n",
       "estado_civil                                   NaN                  NaN   \n",
       "qtde_dependentes                               NaN                  NaN   \n",
       "grau_instrucao                                 NaN                  NaN   \n",
       "nacionalidade                                  NaN                  NaN   \n",
       "tipo_residencia                                NaN                  NaN   \n",
       "meses_na_residencia                            NaN                  NaN   \n",
       "possui_email                                   NaN                  NaN   \n",
       "renda_mensal_regular                           NaN                  NaN   \n",
       "renda_extra                                    NaN                  NaN   \n",
       "possui_cartao_visa                             NaN                  NaN   \n",
       "possui_cartao_mastercard                       NaN                  NaN   \n",
       "possui_cartao_diners                           NaN                  NaN   \n",
       "possui_cartao_amex                             NaN                  NaN   \n",
       "possui_outros_cartoes                          NaN                  NaN   \n",
       "qtde_contas_bancarias                          NaN                  NaN   \n",
       "qtde_contas_bancarias_especiais                NaN                  NaN   \n",
       "valor_patrimonio_pessoal                  0.071217             0.071217   \n",
       "possui_carro                                   NaN                  NaN   \n",
       "meses_no_trabalho                              NaN                  NaN   \n",
       "profissao                                 0.053269             0.053269   \n",
       "ocupacao                                       NaN                  NaN   \n",
       "profissao_companheiro                          NaN                  NaN   \n",
       "grau_instrucao_companheiro                     NaN                  NaN   \n",
       "local_onde_reside                         1.000000             1.000000   \n",
       "local_onde_trabalha                       1.000000             1.000000   \n",
       "inadimplente                                   NaN                  NaN   \n",
       "\n",
       "                                 inadimplente  \n",
       "produto_solicitado                        NaN  \n",
       "dia_vencimento                            NaN  \n",
       "tipo_endereco                             NaN  \n",
       "idade                                     NaN  \n",
       "estado_civil                              NaN  \n",
       "qtde_dependentes                          NaN  \n",
       "grau_instrucao                            NaN  \n",
       "nacionalidade                             NaN  \n",
       "tipo_residencia                           NaN  \n",
       "meses_na_residencia                       NaN  \n",
       "possui_email                              NaN  \n",
       "renda_mensal_regular                      NaN  \n",
       "renda_extra                               NaN  \n",
       "possui_cartao_visa                        NaN  \n",
       "possui_cartao_mastercard                  NaN  \n",
       "possui_cartao_diners                      NaN  \n",
       "possui_cartao_amex                        NaN  \n",
       "possui_outros_cartoes                     NaN  \n",
       "qtde_contas_bancarias                     NaN  \n",
       "qtde_contas_bancarias_especiais           NaN  \n",
       "valor_patrimonio_pessoal                  NaN  \n",
       "possui_carro                              NaN  \n",
       "meses_no_trabalho                         NaN  \n",
       "profissao                                 NaN  \n",
       "ocupacao                                  NaN  \n",
       "profissao_companheiro                     NaN  \n",
       "grau_instrucao_companheiro                NaN  \n",
       "local_onde_reside                         NaN  \n",
       "local_onde_trabalha                       NaN  \n",
       "inadimplente                              NaN  \n",
       "\n",
       "[30 rows x 30 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = n_inadimplentes_df[an_cols].corr()\n",
    "x[(x < -0.05) | (x > 0.05)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Análise por idade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "86"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(credit_df['idade'].unique().tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "idade\n",
       "7        1\n",
       "17       7\n",
       "18     265\n",
       "19     260\n",
       "20     293\n",
       "      ... \n",
       "95       4\n",
       "96       2\n",
       "97       1\n",
       "100      1\n",
       "106      2\n",
       "Length: 84, dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_df.groupby('idade').size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>idade_bin</th>\n",
       "      <th>inadimplente</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(0, 10]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(0, 10]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(10, 20]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(10, 20]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(20, 30]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>(20, 30]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>(30, 40]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>(30, 40]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>(40, 50]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>(40, 50]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>(50, 60]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>(50, 60]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>(60, 70]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>(60, 70]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>(70, 80]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>(70, 80]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>(80, 90]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>(80, 90]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>(90, 100]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>(90, 100]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>(100, 110]</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>(100, 110]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     idade_bin  inadimplente     0\n",
       "0      (0, 10]           0.0     0\n",
       "1      (0, 10]           1.0     1\n",
       "2     (10, 20]           0.0   289\n",
       "3     (10, 20]           1.0   536\n",
       "4     (20, 30]           0.0  1774\n",
       "5     (20, 30]           1.0  2315\n",
       "6     (30, 40]           0.0  2411\n",
       "7     (30, 40]           1.0  2697\n",
       "8     (40, 50]           0.0  2273\n",
       "9     (40, 50]           1.0  2164\n",
       "10    (50, 60]           0.0  1660\n",
       "11    (50, 60]           1.0  1214\n",
       "12    (60, 70]           0.0  1109\n",
       "13    (60, 70]           1.0   656\n",
       "14    (70, 80]           0.0   403\n",
       "15    (70, 80]           1.0   300\n",
       "16    (80, 90]           0.0    73\n",
       "17    (80, 90]           1.0    98\n",
       "18   (90, 100]           0.0     7\n",
       "19   (90, 100]           1.0    18\n",
       "20  (100, 110]           0.0     1\n",
       "21  (100, 110]           1.0     1"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_df['idade_bin'] = pd.cut(\n",
    "    credit_df['idade'], bins = [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110])\n",
    "\n",
    "\n",
    "x = credit_df.groupby(['idade_bin', 'inadimplente']).size().to_frame().reset_index()\n",
    "\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='idade_bin', ylabel='0'>"
      ]
     },
     "execution_count": 41,
     "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": [
    "\n",
    "sns.barplot(x='idade_bin', y=0, hue='inadimplente', data=x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Análise features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_inadimplente_analysis(col):\n",
    "    print('\\n')\n",
    "    print(col)\n",
    "    x = credit_df.groupby([col, 'inadimplente']).size().to_frame().reset_index()\n",
    "    print(x)\n",
    "    sns.barplot(x=col, y=0, data=x, hue='inadimplente')\n",
    "    \n",
    "    \n",
    "        \n",
    "    plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "carro_e_emprego\n",
      "  carro_e_emprego  inadimplente     0\n",
      "0               0             0  3866\n",
      "1               0             1  3745\n",
      "2               2             0  6134\n",
      "3               2             1  6255\n"
     ]
    },
    {
     "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": [
    "credit_df.loc[\n",
    "    (credit_df['possui_carro']== 1) |\n",
    "    (credit_df['vinculo_formal_com_empresa'] == 'Y'),\n",
    "    'carro_e_emprego'\n",
    "] = '2'\n",
    "\n",
    "credit_df.loc[\n",
    "    (credit_df['possui_carro'] == 0) & \n",
    "    (credit_df['vinculo_formal_com_empresa'] == 'N'),\n",
    "    'carro_e_emprego'\n",
    "] = '0'\n",
    "\n",
    "credit_df['carro_e_emprego'].fillna('1', inplace=True)\n",
    "\n",
    "credit_df['carro_e_emprego'].unique()\n",
    "plot_inadimplente_analysis('carro_e_emprego')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "dia_vencimento\n",
      "    dia_vencimento  inadimplente     0\n",
      "0                1             0   356\n",
      "1                1             1   374\n",
      "2                5             0  1531\n",
      "3                5             1  1294\n",
      "4               10             0  4213\n",
      "5               10             1  3634\n",
      "6               15             0  1714\n",
      "7               15             1  1843\n",
      "8               20             0   890\n",
      "9               20             1  1062\n",
      "10              25             0  1296\n",
      "11              25             1  1793\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "forma_envio_solicitacao\n",
      "  forma_envio_solicitacao  inadimplente     0\n",
      "0                 correio             0   476\n",
      "1                 correio             1   405\n",
      "2                internet             0  5663\n",
      "3                internet             1  5601\n",
      "4              presencial             0  3861\n",
      "5              presencial             1  3994\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "sexo\n",
      "  sexo  inadimplente     0\n",
      "0                  0     2\n",
      "1                  1     5\n",
      "2    F             0  6268\n",
      "3    F             1  5978\n",
      "4    M             0  3718\n",
      "5    M             1  4004\n",
      "6    N             0    12\n",
      "7    N             1    13\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "estado_civil\n",
      "    estado_civil  inadimplente     0\n",
      "0              0             0    44\n",
      "1              0             1    37\n",
      "2              1             0  2955\n",
      "3              1             1  3564\n",
      "4              2             0  5250\n",
      "5              2             1  4838\n",
      "6              3             0   127\n",
      "7              3             1   107\n",
      "8              4             0   899\n",
      "9              4             1   674\n",
      "10             5             0   270\n",
      "11             5             1   252\n",
      "12             6             0   342\n",
      "13             6             1   421\n",
      "14             7             0   113\n",
      "15             7             1   107\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "possui_telefone_residencial\n",
      "  possui_telefone_residencial  inadimplente     0\n",
      "0                           N             0  1455\n",
      "1                           N             1  2071\n",
      "2                           Y             0  8545\n",
      "3                           Y             1  7929\n"
     ]
    },
    {
     "data": {
      "image/png": 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AGD16NHv37sVut9O5c2dWrFgBQGBgIDNnznQdKJ81axaBgYHujC0iIt/i1rIYOHAgW7dubTGelZXVYsxisbB48eJW50lMTHSVhYiItD9dwS0iIqZUFiIiYkplISIiplQWIiJiSmUhIiKmVBYiImJKZSEiIqZUFiIiYkplISIiplQWIiJiSmUhIiKmVBYiImJKZSEiIqZUFiIiYkplISIiptz6PIvo6GhuvPFGOnTogJeXF1u3bqWmpobHHnuM8vJyevTowZo1awgICMAwDJ5++mn27t2Lr68vzzzzDIMGDQIgJyeHl156CYAZM2aQkJDgztgiIvItbt+yyMrKYtu2ba6HIGVmZhIREUF+fj4RERFkZmYCUFhYSElJCfn5+SxbtowlS5YAUFNTQ0ZGBps2bWLz5s1kZGRQW1vr7tgiInKBdt8NVVBQQHx8PADx8fG8+eabzcYtFgtDhw6lrq6OyspKiouLiYyMJDAwkICAACIjIykqKmrv2CIi1zW3l8UvfvELpk6dyl/+8hcAqqqqCA0NBaBr165UVVUB4HA4sNlsrvVsNhsOh6PFuNVqxeFwuDu2iIhcwK3HLF577TWsVitVVVWkpKTQu3fvZq9bLBYsFos7I4iISBtw65aF1WoFICQkBLvdzuHDhwkJCaGyshKAyspKgoODXctWVFS41q2oqMBqtbYYdzgcrnlFRKR9uK0svvrqK7788kvX/7/99tv069eP6OhocnNzAcjNzWXs2LEArnHDMDh06BB+fn6EhoYSFRVFcXExtbW11NbWUlxcTFRUlLtii4hIK9y2G6qqqopZs2YB4HQ6mThxIqNGjWLw4MGkpqaSnZ1N9+7dWbNmDQCjR49m79692O12OnfuzIoVKwAIDAxk5syZJCYmAjBr1iwCAwPdFVtERFrhtrIICwvj9ddfbzEeFBREVlZWi3GLxcLixYtbnSsxMdFVFiIi0v50BbeIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgp01NnP/30UwoKClxXXYeGhjJ27Fj69Onj9nAiInJluOSWRWZmJnPnzgVg8ODBDB48GIC5c+e6bi0uIiLXvktuWWzZsoUdO3bQsWPHZuPJyclMnDiR6dOnuzWciIhcGS65ZWGxWFy7ny70+eef626xIiLXkUtuWaSlpZGcnEyvXr3o1q0bACdPnuTEiRM89dRT7RJQREQ875JlMWrUKHbt2sXhw4ddDxyyWq0MHjwYLy+vdgkoIiKeZ3o2VIcOHRg6dGg7RBERkSuVrrMQERFTKgsRETGlshAREVNuLwun00l8fDyPPPIIAKWlpSQlJWG320lNTaWhoQGAhoYGUlNTsdvtJCUlUVZW5ppj3bp12O12YmNjKSoqcndkERH5FreXxcaNG5vdGmTVqlUkJyeze/du/P39yc7OBmDz5s34+/uze/dukpOTWbVqFQDHjh0jLy+PvLw81q9fz9KlS3E6ne6OLSIiF3BrWVRUVPC3v/3N9UhUwzB45513iI2NBSAhIYGCggIA9uzZQ0JCAgCxsbHs378fwzAoKCggLi4OHx8fwsLC6NWrF4cPH3ZnbBER+Ra3lsWKFSuYN28eHTo0vU11dTX+/v54ezedsWuz2VzXbzgcDteFf97e3vj5+VFdXY3D4cBms7nmtFqtrnVERKR9uK0s3nrrLYKDg7n11lvd9RYiItJOTC/K+77+/ve/s2fPHgoLC6mvr+fLL7/k6aefpq6ujsbGRry9vamoqMBqtQJNWwynTp3CZrPR2NjI6dOnCQoKwmq1UlFR4ZrX4XC41hERkfbhti2Lxx9/nMLCQvbs2cNzzz3HyJEjWb16NeHh4ezatQuAnJwcoqOjAYiOjiYnJweAXbt2MXLkSCwWC9HR0eTl5dHQ0EBpaSklJSXcdttt7ootIiKtaPfrLObNm8eGDRuw2+3U1NSQlJQEQGJiIjU1NdjtdjZs2MCvfvUrAPr168f48eOZMGECDz30EIsWLdJ9qURE2pnbdkNdKDw8nPDwcADCwsJcp8teqFOnTrzwwgutrj9jxgxmzJjh1owiInJxuoJbRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMpCRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMpCRERMqSxERMSUykJEREy5rSzq6+tJTExk8uTJxMXFuZ5VUVpaSlJSEna7ndTUVBoaGgBoaGggNTUVu91OUlISZWVlrrnWrVuH3W4nNjaWoqIid0UWEZGLcFtZ+Pj4kJWVxeuvv05ubi5FRUUcOnSIVatWkZyczO7du/H393c9CGnz5s34+/uze/dukpOTWbVqFQDHjh0jLy+PvLw81q9fz9KlS3E6ne6KLSIirXBbWVgsFm688UYAGhsbaWxsxGKx8M477xAbGwtAQkICBQUFAOzZs4eEhAQAYmNj2b9/P4ZhUFBQQFxcHD4+PoSFhdGrVy8OHz7srtgiItIKtx6zcDqdTJkyhdtvv53bb7+dsLAw/P398fZuepqrzWbD4XAA4HA46NatGwDe3t74+flRXV2Nw+HAZrO55rRara51RESkfbi1LLy8vNi2bRt79+7l8OHDHD9+3J1vJyIibtIuZ0P5+/sTHh7OoUOHqKuro7GxEYCKigqsVivQtMVw6tQpoGm31enTpwkKCsJqtVJRUeGay+FwuNYREZH24bay+OKLL6irqwPg7Nmz7Nu3jz59+hAeHs6uXbsAyMnJITo6GoDo6GhycnIA2LVrFyNHjsRisRAdHU1eXh4NDQ2UlpZSUlLCbbfd5q7YIiLSCm93TVxZWcmCBQtwOp0YhsG4ceMYM2YMffv25bHHHmPNmjUMHDiQpKQkABITE5k3bx52u52AgACef/55APr168f48eOZMGECXl5eLFq0CC8vL3fFFhGRVritLAYMGEBubm6L8bCwMNfpshfq1KmT61qMb5sxYwYzZsxo64giInKZdAW3iIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgplYWIiJhyW1mcOnWK+++/nwkTJhAXF0dWVhYANTU1pKSkEBMTQ0pKCrW1tQAYhsHy5cux2+1MmjSJjz76yDVXTk4OMTExxMTEuJ6mJyIi7cdtZeHl5cWCBQt44403+Mtf/sKrr77KsWPHyMzMJCIigvz8fCIiIsjMzASgsLCQkpIS8vPzWbZsGUuWLAGayiUjI4NNmzaxefNmMjIyXAUjIiLtw21lERoayqBBgwDo0qULvXv3xuFwUFBQQHx8PADx8fG8+eabAK5xi8XC0KFDqauro7KykuLiYiIjIwkMDCQgIIDIyEiKiorcFVtaYTTWezrCFUOfhVyv3PZY1QuVlZXxj3/8gyFDhlBVVUVoaCgAXbt2paqqCgCHw4HNZnOtY7PZcDgcLcatVisOh6M9Ysv/sXh34kT6YE/HuCL8aNGHno4g4hFuP8B95swZZs+eTVpaGl26dGn2msViwWKxuDuCiIj8QG4ti3PnzjF79mwmTZpETEwMACEhIVRWVgJQWVlJcHAw0LTFUFFR4Vq3oqICq9XaYtzhcGC1Wt0ZW0REvsVtZWEYBk888QS9e/cmJSXFNR4dHU1ubi4Aubm5jB07ttm4YRgcOnQIPz8/QkNDiYqKori4mNraWmpraykuLiYqKspdsUVEpBVuO2bx3nvvsW3bNvr378+UKVMAmDt3LtOnTyc1NZXs7Gy6d+/OmjVrABg9ejR79+7FbrfTuXNnVqxYAUBgYCAzZ84kMTERgFmzZhEYGOiu2CIi0gq3lcXw4cP55JNPWn3tm2suLmSxWFi8eHGryycmJrrKQkRE2p+u4BYREVMqCxERMaWyEBERUyoLERExpbIQERFTKgsRETGlshAREVMqCxERMaWyuIj6c05PRxARuWK0yy3Kr0adOnrx03kbPR3jivDesw94OoKIeJi2LERExJTKQkRETKksRETElMpCRERMqSxERMSU28pi4cKFREREMHHiRNdYTU0NKSkpxMTEkJKSQm1tLdD0VL3ly5djt9uZNGkSH330kWudnJwcYmJiiImJIScnx11xRUTkEtxWFlOnTmX9+vXNxjIzM4mIiCA/P5+IiAgyMzMBKCwspKSkhPz8fJYtW8aSJUuApnLJyMhg06ZNbN68mYyMDFfBiIhI+3FbWYwYMYKAgIBmYwUFBcTHxwMQHx/Pm2++2WzcYrEwdOhQ6urqqKyspLi4mMjISAIDAwkICCAyMpKioiJ3RRYRkYto12MWVVVVhIaGAtC1a1eqqqoAcDgc2Gw213I2mw2Hw9Fi3Gq14nA42jOyiIjgwQPcFosFi8XiqbcXEZHvoF3LIiQkhMrKSgAqKysJDg4GmrYYKioqXMtVVFRgtVpbjDscDqxWa3tGFhER2rksoqOjyc3NBSA3N5exY8c2GzcMg0OHDuHn50doaChRUVEUFxdTW1tLbW0txcXFREVFtWdkERHBjTcSnDt3LgcPHqS6uppRo0bx6KOPMn36dFJTU8nOzqZ79+6sWbMGgNGjR7N3717sdjudO3dmxYoVAAQGBjJz5kwSExMBmDVrFoGBge6KLCIiF+G2snjuuedaHc/KymoxZrFYWLx4cavLJyYmuspCREQ8Q1dwi4iIKZWFiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgplYWIiJi6asqisLCQ2NhY7HY7mZmZno4jInJduSrKwul0kp6ezvr168nLy2PHjh0cO3bM07FERK4bV0VZHD58mF69ehEWFoaPjw9xcXEUFBR4OpaIyHXDbc/gbksOhwObzeb62mq1cvjw4YsuX15eztSpU3/w+/b6wTNcG6ZOzQX6eTrGlaENfq/agn43m+h38wJt8LtZXl5+0deuirL4rg4cOODpCCIi15SrYjeU1WqloqLC9bXD4cBqtXowkYjI9eWqKIvBgwdTUlJCaWkpDQ0N5OXlER0d7elYIiLXjatiN5S3tzeLFi3ioYcewul0Mm3aNPr1035KEZH2YjEMw/B0CBERubJdFbuhRETEs1QWIiJiSmUhrbrlllt45plnXF///ve/Z+3atR5MJNLEMAzuuece9u7d6xrbuXMnv/jFLzyY6tqnspBW+fj4kJ+fzxdffOHpKCLNWCwWli5dyjPPPEN9fT1nzpzh+eefZ/HixZ6Odk1TWUirvL29ufvuu8nKyvJ0FJEW+vfvz5gxY/jd737Hiy++yJQpU/jRj37k6VjXNJWFXNS9997L9u3bOX36tKejiLTwy1/+ku3bt1NUVMTDDz/s6TjXvKviOgvxjC5dujBlyhQ2btyIr6+vp+OINHPDDTcwYcIEbrjhBnx8fDwd55qnLQu5pJ///Ods2bKFr7/+2tNRRFro0KEDHTroz1h70KcslxQYGMi4cePIzs72dBQR8SCVhZh68MEHqa6u9nQMEfEg3e5DRERMactCRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMpCrkkPP/wwdXV1rb5WV1fHK6+8clnzDBs2zHSZjRs3Mn78eB5//PHvlLG9/fu//zv79u1rMX7gwAEeeeSRNn2vgoICMjMzL7nM1q1bSU9Pb9P3FffRvaHkmvS73/3uoq/V1dXx2muvce+997bJe7366qu8/PLL2Gy2NpnvcjmdTry8vC57+Tlz5rgxTXNjx45l7Nix7fZ+4n4qC3G7srIyHnroIQYNGsTRo0fp168fv/71rzl06BC//vWvcTqd3HrrrSxduhQfHx9WrVrFnj178PLyIioqivnz57Nz505efPFFOnTogJ+fH6+88gpbt27lyJEjLFq0CIBHHnmEBx98kPDwcKKjo8nOziY4OLhFntWrV3PixAmmTJnC7bffzvz581m/fj07d+6koaEBu93O7NmzW6zX2jKLFi2irKyMhx9+mGnTphEfH09aWhqlpaV07tyZ9PR0BgwYwNq1azl58iRlZWWcPHmSn//85zzwwAMAbNu2jT/+8Y+cO3eOIUOGsHjx4ouWwLBhw7j77rvZt28fixYtory8vMW6AE888QRHjhzBYrEwbdo0kpOTWbBgAXfeeSfjxo2jsLCQFStW0LlzZ37605+65v/qq69YtmwZ//3f/01jYyO//OUvueuuu9i6dSt79uzh66+/prS0lLvuuot/+7d/A6CwsJDnn38ep9NJUFAQWVlZzX42e/bs4aWXXuLcuXMEBgayatUqbrrpph/2SyXtzxBxs9LSUqN///7Gu+++axiGYSxYsMB48cUXjVGjRhnHjx83DMMw5s2bZ2zYsMH44osvjJiYGOP8+fOGYRhGbW2tYRiGMXHiRKOioqLZ2JYtW4ylS5e63mf69OnGO++8YxiGYYwZM8aoqqq6aJ64uDjX10VFRcaTTz5pnD9/3nA6ncb06dONgwcPGoZhGEOHDjVd5sL3Sk9PN9auXWsYhmHs27fPmDx5smEYhvHCCy8Yd999t1FfX29UVVUZ//Iv/2I0NDQYx44dMx555BGjoaHBMAzDWLx4sZGTk3PRz7J///5GXl6eYRjGRdf98MMPjeTkZNc633xe8+fPN3bu3GmcPXvWGDVqlPHPf/7TOH/+vDF79mxj+vTphmEYxurVq43c3FzXejExMcaZM2eMLVu2GNHR0UZdXZ1x9uxZ48477zROnjxpVFVVGaNGjTJOnDhhGIZhVFdXt/jZ1NTUuH6emzZtMlauXNnqz0+ubNqykHbRrVs3179gJ0+ezG9/+1t69uzJzTffDEBCQgKvvPIK9913H506dSItLY0xY8Zw5513Ak3/ol6wYAHjx4/Hbre3aba3336bt99+m/j4eKDpX9clJSWMGDHiOy0D8N5777kePxsREUFNTQ1ffvklAKNHj8bHx4fg4GCCg4Opqqpi//79HDlyhMTERADOnj1LSEjIRbN6eXkRGxsLcNF1x4wZQ2lpKcuWLWP06NFERUU1m+P48eP07NmTH//4x0DTz2PTpk0AFBcXs2fPHv7whz8AUF9fz6lTp1zfj5+fHwB9+vShvLycuro6hg8fTlhYGNB048lvq6io4LHHHuPzzz+noaGBnj17XvT7kyuXykLahcViafa1v78/NTU1LZbz9vYmOzub/fv389e//pU//elPbNy4kfT0dD744AP+9re/MW3aNLZs2YKXlxfnz593rVtfX/+9shmGwfTp0/nZz372g5Yxc+EzF7y8vGhsbMQwDBISEi774HinTp1cu6gute62bdsoLi7mz3/+Mzt37mTlypWXnfOFF16gd+/ezcY++OCDFvmdTudlzbd8+XKSk5MZO3YsBw4cICMj47KzyJVDZ0NJuzh58iTvv/8+ADt27ODWW2+lvLyczz77DGj64zZixAjOnDnD6dOnGT16NGlpaXzyyScAnDhxgiFDhjBnzhyCgoKoqKigR48efPzxx5w/f55Tp05x+PDhy8py4403cubMGdfXUVFRbNmyxTXmcDioqqpqts7lLAMwfPhwXn/9daDpLKOgoCC6dOly0SwRERHs2rXLNVdNTQ3l5eWX9X1cbN0vvvgCwzCIjY0lNTWVo0ePNluvd+/elJeXc+LECQDy8vKafZ9/+tOfMP7v/qLfXvfbhg4dyrvvvktpaakrw7edPn0aq9UKQG5u7mV9b3Ll0ZaFtIubb76ZV155hbS0NPr27UtycjJDhw5lzpw5rgPc99xzDzU1NcycOdO1lbBgwQIAfvOb3/DZZ59hGAYjR45kwIABAPTo0YMJEybQp08fBg0adFlZgoKC+MlPfsLEiRO54447mD9/Pp9++qlrq+GGG27g2WefbbY7KCoqynQZaHrUZ1paGpMmTaJz584888wzl8zSt29fUlNTefDBBzl//jwdO3Zk0aJF9OjRw/T7uNi6vr6+LFy40LXVNXfu3GbrderUifT0dKZPn+46wP1NCc6cOZMVK1YwefJkzp8/T8+ePVm3bt1FMwQHB5Oens6jjz7K+fPnCQkJYcOGDS0+kzlz5hAQEEB4eDhlZWWm35tceXSLcnG7srIy/vVf/5UdO3Z4OoqIfE/aDSUiIqa0ZSHXrOrqapKTk1uMv/zyywQFBbV/oO8gKSmJhoaGZmO/+c1vuOWWWzyUSK53KgsRETGl3VAiImJKZSEiIqZUFiIiYkplISIipv4XNhcN1165bVEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "estado_onde_nasceu\n",
      "   estado_onde_nasceu  inadimplente     0\n",
      "0                                 0   415\n",
      "1                                 1   407\n",
      "2                  AC             0    82\n",
      "3                  AC             1   110\n",
      "4                  AL             0   319\n",
      "5                  AL             1   359\n",
      "6                  AM             0    72\n",
      "7                  AM             1    75\n",
      "8                  AP             0    54\n",
      "9                  AP             1    48\n",
      "10                 BA             0  1147\n",
      "11                 BA             1  1204\n",
      "12                 CE             0   946\n",
      "13                 CE             1   964\n",
      "14                 DF             0    59\n",
      "15                 DF             1    72\n",
      "16                 ES             0   126\n",
      "17                 ES             1   125\n",
      "18                 GO             0   227\n",
      "19                 GO             1   233\n",
      "20                 MA             0   287\n",
      "21                 MA             1   290\n",
      "22                 MG             0   759\n",
      "23                 MG             1   687\n",
      "24                 MS             0    87\n",
      "25                 MS             1   112\n",
      "26                 MT             0   187\n",
      "27                 MT             1   188\n",
      "28                 PA             0   334\n",
      "29                 PA             1   342\n",
      "30                 PB             0   315\n",
      "31                 PB             1   293\n",
      "32                 PE             0   806\n",
      "33                 PE             1   845\n",
      "34                 PI             0   132\n",
      "35                 PI             1   152\n",
      "36                 PR             0   413\n",
      "37                 PR             1   351\n",
      "38                 RJ             0   348\n",
      "39                 RJ             1   372\n",
      "40                 RN             0   402\n",
      "41                 RN             1   425\n",
      "42                 RO             0    23\n",
      "43                 RO             1    30\n",
      "44                 RR             0     5\n",
      "45                 RR             1    10\n",
      "46                 RS             0  1041\n",
      "47                 RS             1   878\n",
      "48                 SC             0   164\n",
      "49                 SC             1   107\n",
      "50                 SE             0    71\n",
      "51                 SE             1    82\n",
      "52                 SP             0  1138\n",
      "53                 SP             1  1198\n",
      "54                 TO             0    41\n",
      "55                 TO             1    41\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "estado_onde_reside\n",
      "   estado_onde_reside  inadimplente     0\n",
      "0                  AC             0    45\n",
      "1                  AC             1    48\n",
      "2                  AL             0   260\n",
      "3                  AL             1   332\n",
      "4                  AM             0    76\n",
      "5                  AM             1    86\n",
      "6                  AP             0   109\n",
      "7                  AP             1    89\n",
      "8                  BA             0   976\n",
      "9                  BA             1  1069\n",
      "10                 CE             0   928\n",
      "11                 CE             1   937\n",
      "12                 DF             0   126\n",
      "13                 DF             1   159\n",
      "14                 ES             0   126\n",
      "15                 ES             1   141\n",
      "16                 GO             0   313\n",
      "17                 GO             1   369\n",
      "18                 MA             0   137\n",
      "19                 MA             1   153\n",
      "20                 MG             0   607\n",
      "21                 MG             1   580\n",
      "22                 MS             0   120\n",
      "23                 MS             1   154\n",
      "24                 MT             0   284\n",
      "25                 MT             1   253\n",
      "26                 PA             0   482\n",
      "27                 PA             1   445\n",
      "28                 PB             0   254\n",
      "29                 PB             1   245\n",
      "30                 PE             0   699\n",
      "31                 PE             1   785\n",
      "32                 PI             0    80\n",
      "33                 PI             1    77\n",
      "34                 PR             0   331\n",
      "35                 PR             1   279\n",
      "36                 RJ             0   427\n",
      "37                 RJ             1   436\n",
      "38                 RN             0   410\n",
      "39                 RN             1   436\n",
      "40                 RO             0    71\n",
      "41                 RO             1    54\n",
      "42                 RR             0    10\n",
      "43                 RR             1    15\n",
      "44                 RS             0  1087\n",
      "45                 RS             1   908\n",
      "46                 SC             0   151\n",
      "47                 SC             1    95\n",
      "48                 SE             0    50\n",
      "49                 SE             1    75\n",
      "50                 SP             0  1821\n",
      "51                 SP             1  1757\n",
      "52                 TO             0    20\n",
      "53                 TO             1    23\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "meses_na_residencia\n",
      "     meses_na_residencia  inadimplente     0\n",
      "0                    0.0             0   948\n",
      "1                    0.0             1   910\n",
      "2                    1.0             0  1474\n",
      "3                    1.0             1  1463\n",
      "4                    2.0             0   615\n",
      "..                   ...           ...   ...\n",
      "132                 89.0             1     1\n",
      "133                 96.0             1     1\n",
      "134                100.0             1     1\n",
      "135                200.0             1     1\n",
      "136                228.0             1     1\n",
      "\n",
      "[137 rows x 3 columns]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "vinculo_formal_com_empresa\n",
      "  vinculo_formal_com_empresa  inadimplente     0\n",
      "0                          N             0  5618\n",
      "1                          N             1  5556\n",
      "2                          Y             0  4382\n",
      "3                          Y             1  4444\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "possui_carro\n",
      "   possui_carro  inadimplente     0\n",
      "0             0             0  6670\n",
      "1             0             1  6549\n",
      "2             1             0  3330\n",
      "3             1             1  3451\n"
     ]
    },
    {
     "data": {
      "image/png": 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WIiJiSWUhIiKWVBYiImJJZSEiIpZUFiIiYkllISIillQWIiJiSWUhIiKWVBYiImJJZSEiIpZUFiIiYkllISIillQWIiJiSWUhIiKWVBYiImJJZSEiIpZUFiIiYkllISIilmwvi5aWFlJSUrjzzjsBqK6uJj09HY/HQ1ZWFk1NTQA0NTWRlZWFx+MhPT2dmpqa4Bxr167F4/GQnJxMeXm53ZFFRORbbC+LP/3pTwwcODD4Oicnh4yMDF555RUiIiLIz88HYOPGjURERPDKK6+QkZFBTk4OAB999BFFRUUUFRWxbt06Fi5cSEtLi92xRUTkG2wtC6/Xy1//+lfS0tIAME2TN954g+TkZAAmT55MSUkJADt37mTy5MkAJCcns2vXLkzTpKSkhPHjx9O1a1diYmLo378/VVVVdsYWEZFvsbUsli1bxqxZswgJOb6Zuro6IiIiCAsLA8DlcuHz+QDw+XxceumlAISFhREeHk5dXR0+nw+XyxWc0+l0BtcREZGOYVtZvPrqq/Tq1YtrrrnGrk2IiEgHCbNr4r///e/s3LmTsrIyGhsb+fLLL1m6dCkNDQ00NzcTFhaG1+vF6XQCx/cYDh48iMvlorm5mUOHDtGzZ0+cTiderzc4r8/nC64jIiIdw7Y9i/vvv5+ysjJ27tzJypUrGTFiBCtWrCAuLo7t27cDUFBQgNvtBsDtdlNQUADA9u3bGTFiBIZh4Ha7KSoqoqmpierqavbt28e1115rV2wREWlFh99nMWvWLJ566ik8Hg/19fWkp6cDkJaWRn19PR6Ph6eeeooHHngAgEGDBjF27FjGjRvHlClTmDdvHqGhoR0dW0TkgmbbYahviouLIy4uDoCYmJjg5bLf1K1bNx5//PFW1582bRrTpk2zNaOIiJya7uAWERFLKgsREbGkshAREUsqCxERsaSyEBERSyoLERGxpLIQERFLKgsREbGkshAREUuWd3B//PHHlJSU4Pf7AYiOjmb06NEnfKGRiIic39rcs8jLy2PmzJkAxMbGEhsbC8DMmTPJy8uzP52IiJwV2tyz2LRpE9u2baNLly4njGdkZDBhwgSmTp1qazgRETk7tLlnYRhG8PDTN33++ecYhmFbKBGR02E2N3Z2hLOG3Z9Fm3sW2dnZZGRk0L9//+BXnn722Wfs37+fuXPn2hpMRMSKEdaN/YtiOzvGWeH/5r1t6/xtlsXIkSPZvn07VVVVwe+9djqdxMbG6jslREQuIJZXQ4WEhDBkyJAOiCIiImcr3Wchco5pPNrS2RHkAtQh35QnIu2nW5dQfjLrT50d46zw1mO3d3aEC4b2LERExJLKQkRELKksRETEkspCREQs2VYWjY2NpKWlcdNNNzF+/Hgef/xxAKqrq0lPT8fj8ZCVlUVTUxMATU1NZGVl4fF4SE9Pp6amJjjX2rVr8Xg8JCcnU15ebldkERE5BdvKomvXrqxfv54XXniBwsJCysvLqaysJCcnh4yMDF555RUiIiLIz88HYOPGjURERPDKK6+QkZFBTk4OAB999BFFRUUUFRWxbt06Fi5cSEuLLh0UEelItpWFYRhcdNFFADQ3N9Pc3IxhGLzxxhskJycDMHnyZEpKSgDYuXMnkydPBiA5OZldu3ZhmiYlJSWMHz+erl27EhMTQ//+/amqqrIrtoiItMLWcxYtLS1MmjSJ66+/nuuvv56YmBgiIiIICzt+e4fL5Qo+RsTn8wWfPxUWFkZ4eDh1dXX4fD5cLldwTqfTGVxHREQ6hq1lERoaypYtWygtLaWqqopPPvnEzs2JiIhNOuRqqIiICOLi4qisrKShoYHm5mYAvF4vTqcTOL7HcPDgQeD4YatDhw7Rs2dPnE4nXq83OJfP5wuuIyIiHcO2svjiiy9oaGgA4MiRI7z++usMHDiQuLg4tm/fDkBBQQFutxsAt9tNQUEBANu3b2fEiBEYhoHb7aaoqIimpiaqq6vZt28f1157rV2xRUSkFbY9G8rv9zN79mxaWlowTZMxY8Zw4403cvnll3PfffexatUqrr76atLT0wFIS0tj1qxZeDweIiMj+e1vfwvAoEGDGDt2LOPGjSM0NJR58+bp8egiIh3MtrK46qqrKCwsPGk8JiYmeLnsN3Xr1i14L8a3TZs2jWnTprV3RBEROU26g1tERCypLERExJLKQkRELKksRETEkspCREQsqSxERMSSykJERCypLERExJLKQkRELKksRETEkspCREQsqSxERMSSykJERCypLERExJLKQkRELKksRETEkspCREQsqSxERMSSykJERCypLERExJLKQkRELKksRETEkm1lcfDgQW677TbGjRvH+PHjWb9+PQD19fVkZmaSlJREZmYmgUAAANM0WbJkCR6Ph4kTJ/Luu+8G5yooKCApKYmkpCQKCgrsiiwiIqdgW1mEhoYye/ZsXnzxRZ5//nmeffZZPvroI/Ly8oiPj6e4uJj4+Hjy8vIAKCsrY9++fRQXF7N48WIWLFgAHC+X3NxcNmzYwMaNG8nNzQ0WjIiIdAzbyiI6OprBgwcDcPHFF3PZZZfh8/koKSkhJSUFgJSUFHbs2AEQHDcMgyFDhtDQ0IDf76eiooKEhAQcDgeRkZEkJCRQXl5uV2wREWlFh5yzqKmp4f333+e6666jtraW6OhoAHr37k1tbS0APp8Pl8sVXMflcuHz+U4adzqd+Hy+jogtIiL/Y3tZHD58mHvuuYfs7GwuvvjiE94zDAPDMOyOICIiZ8jWsjh69Cj33HMPEydOJCkpCYCoqCj8fj8Afr+fXr16Acf3GLxeb3Bdr9eL0+k8adzn8+F0Ou2MLSIi32JbWZimyUMPPcRll11GZmZmcNztdlNYWAhAYWEho0ePPmHcNE0qKysJDw8nOjqaxMREKioqCAQCBAIBKioqSExMtCu2iIi0Isyuid966y22bNnCFVdcwaRJkwCYOXMmU6dOJSsri/z8fPr06cOqVasAGDVqFKWlpXg8Hnr06MGyZcsAcDgcTJ8+nbS0NABmzJiBw+GwK7aIiLTCtrIYNmwYH3zwQavvfX3PxTcZhsH8+fNbXT4tLS1YFiIi0vF0B7eIiFhSWYiIiCWVhYiIWFJZiIiIJZWFiIhYUlmIiIgllYWIiFhSWYiIiCWVhYiIWFJZiIiIJZWFiIhYUlmIiIgllYWIiFhSWYiIiCWVhYiIWFJZiIiIJZWFiIhYUlmIiIgllYWIiFhSWYiIiCWVhYiIWFJZiIiIJdvKYs6cOcTHxzNhwoTgWH19PZmZmSQlJZGZmUkgEADANE2WLFmCx+Nh4sSJvPvuu8F1CgoKSEpKIikpiYKCArviiohIG2wri9TUVNatW3fCWF5eHvHx8RQXFxMfH09eXh4AZWVl7Nu3j+LiYhYvXsyCBQuA4+WSm5vLhg0b2LhxI7m5ucGCERGRjmNbWQwfPpzIyMgTxkpKSkhJSQEgJSWFHTt2nDBuGAZDhgyhoaEBv99PRUUFCQkJOBwOIiMjSUhIoLy83K7IIiJyCh16zqK2tpbo6GgAevfuTW1tLQA+nw+XyxVczuVy4fP5Thp3Op34fL6OjCwiInTiCW7DMDAMo7M2LyIi30GHlkVUVBR+vx8Av99Pr169gON7DF6vN7ic1+vF6XSeNO7z+XA6nR0ZWURE6OCycLvdFBYWAlBYWMjo0aNPGDdNk8rKSsLDw4mOjiYxMZGKigoCgQCBQICKigoSExM7MrKIiABhdk08c+ZM9uzZQ11dHSNHjuTuu+9m6tSpZGVlkZ+fT58+fVi1ahUAo0aNorS0FI/HQ48ePVi2bBkADoeD6dOnk5aWBsCMGTNwOBx2RRYRkVOwrSxWrlzZ6vj69etPGjMMg/nz57e6fFpaWrAsRESkc+gObhERsaSyEBERSyoLERGxpLIQERFLKgsREbGkshAREUsqCxERsaSyEBERSyoLERGxpLIQERFLKgsREbGkshAREUsqCxERsaSyEBERSyoLERGxpLIQERFLKgsREbGkshAREUsqCxERsaSyEBERSyoLERGxpLIQERFLKgsREbF0zpRFWVkZycnJeDwe8vLyOjuOiMgF5Zwoi5aWFhYtWsS6desoKipi27ZtfPTRR50dS0TkgnFOlEVVVRX9+/cnJiaGrl27Mn78eEpKSjo7lojIBSOsswOcDp/Ph8vlCr52Op1UVVWdcvkDBw6Qmpp6xtvtf8YznB9SUwuBQZ0d4+zQDr9X7UG/m8fpd/Mb2uF388CBA6d875woi+9q9+7dnR1BROS8ck4chnI6nXi93uBrn8+H0+nsxEQiIheWc6IsYmNj2bdvH9XV1TQ1NVFUVITb7e7sWCIiF4xz4jBUWFgY8+bNY8qUKbS0tHDzzTczaJCOU4qIdBTDNE2zs0OIiMjZ7Zw4DCUiIp1LZSEiIpZUFtImPWZFzkZz5swhPj6eCRMmdHaUC4bKQk5Jj1mRs1Vqairr1q3r7BgXFJWFnJIesyJnq+HDhxMZGdnZMS4oKgs5pdYes+Lz+ToxkYh0FpWFiIhYUlnIKekxKyLyNZWFnJIesyIiX9Md3NKm0tJSli1bFnzMyrRp0zo7kggzZ85kz5491NXVERUVxd133016enpnxzqvqSxERMSSDkOJiIgllYWIiFhSWYiIiCWVhYiIWFJZiIiIJZWFSAf51a9+RUNDQ2fHEPledOmsyDmuubmZsLCwU74WaQ/6jZILUk1NDVOmTGHw4MG89957DBo0iEcffZTKykoeffRRWlpauOaaa1i4cCFdu3YlJyeHnTt3EhoaSmJiIg8++CAvvfQSTzzxBCEhIYSHh/PMM8+wefNm3nnnHebNmwfAnXfeyS9/+Uvi4uJwu93k5+fTq1evVjMVFhby5JNPYhgGV155JY899hg7d+5kzZo1HD16FIfDQU5ODpdccgmrV69m//79VFdX06dPHwYMGHDC65kzZ5KdnU1dXR29evVi+fLl9OnTpyM/YjnfmCIXoOrqavOKK64w33zzTdM0TXP27NnmE088YY4cOdL85JNPTNM0zVmzZplPPfWU+cUXX5hJSUnmsWPHTNM0zUAgYJqmaU6YMMH0er0njG3atMlcuHBhcDtTp04133jjDdM0TfPGG280a2trW83z4YcfmklJScH36+rqTNM0zfr6+uB2N2zYYC5fvtw0TdN8/PHHzcmTJ5v//e9/W3195513mps3bzZN0zQ3btxoTps27Yw+LxGds5AL1qWXXspPfvITAG666SZ27dpFv379GDBgAACTJ0/mzTffJDw8nG7dupGdnU1xcTHdu3cHYOjQocyePZsNGzbQ0tJyRlneeOMNxowZE9zrcDgcAHi9Xu644w4mTpzIunXr+Ne//hVcx+12B7N8+/XevXuD3yI3adIk3nrrrTPKJ6KykAuWYRgnvI6IiGh1ubCwMPLz8xkzZgyvvvoqU6ZMAWDRokVkZWVx8OBBbr75Zurq6ggNDeXYsWPBdRsbG88o45IlS7jlllvYunUrixYtoqmpKfhejx49Tlj2269F2pPKQi5Yn332GXv37gVg27ZtXHPNNRw4cIBPP/0UgC1btjB8+HAOHz7MoUOHGDVqFNnZ2XzwwQcA7N+/n+uuu457772Xnj174vV66du3L//85z85duwYBw8epKqq6rSyjBgxgpdffpm6ujoA6uvrATh06FDwsfCFhYWn/W8bOnQoRUVFAGzdupVhw4ad9roirdEJbrlgDRgwgGeeeYbs7Gwuv/xyMjIyGDJkCPfee2/wBPcvfvEL6uvrmT59enAvYfbs2QD85je/4dNPP8U0TUaMGMFVV10FQN++fRk3bhwDBw5k8ODBp5Vl0KBB3HXXXdx2222EhITwox/9iEceeYRf//rX3HvvvURGRhIXF0dNTc1pzTd37lzmzJnDk08+GTzBLXImdOmsXJBqamq466672LZtW2dHETkn6DCUiIhY0p6FSAeqq6sjIyPjpPGnn36anj17dnwgkdOkshAREUs6DCUiIpZUFiIiYkllISIillQWIiJiSWUhIiKW/h8OSuzFWrtTAAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "qtde_contas_bancarias\n",
      "   qtde_contas_bancarias  inadimplente     0\n",
      "0                      0             0  6458\n",
      "1                      0             1  6328\n",
      "2                      1             0  3541\n",
      "3                      1             1  3665\n",
      "4                      2             0     1\n",
      "5                      2             1     7\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "produto_solicitado\n",
      "   produto_solicitado  inadimplente     0\n",
      "0                   1             0  8570\n",
      "1                   1             1  8453\n",
      "2                   2             0  1208\n",
      "3                   2             1  1227\n",
      "4                   7             0   222\n",
      "5                   7             1   320\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "tipo_residencia\n",
      "    tipo_residencia  inadimplente     0\n",
      "0               0.0             0   157\n",
      "1               0.0             1   174\n",
      "2               1.0             0  8359\n",
      "3               1.0             1  8138\n",
      "4               2.0             0   730\n",
      "5               2.0             1   905\n",
      "6               3.0             0    26\n",
      "7               3.0             1    22\n",
      "8               4.0             0    60\n",
      "9               4.0             1    66\n",
      "10              5.0             0   395\n",
      "11              5.0             1   432\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "ocupacao\n",
      "    ocupacao  inadimplente     0\n",
      "0        0.0             0   565\n",
      "1        0.0             1   549\n",
      "2        1.0             0  1829\n",
      "3        1.0             1  1315\n",
      "4        2.0             0  3331\n",
      "5        2.0             1  3551\n",
      "6        3.0             0    70\n",
      "7        3.0             1    66\n",
      "8        4.0             0  1367\n",
      "9        4.0             1  1557\n",
      "10       5.0             0  1381\n",
      "11       5.0             1  1441\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "carro_e_emprego\n",
      "  carro_e_emprego  inadimplente     0\n",
      "0               0             0  3866\n",
      "1               0             1  3745\n",
      "2               2             0  6134\n",
      "3               2             1  6255\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEGCAYAAACUzrmNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAfbElEQVR4nO3de1SUdeLH8fcgIKZcxGQmlXW9dnExbTUkSc+ODqhoCsE5uyft4G7HVi1Dyi3vt8TOSV2PsmtyLI+1pzYFwQuWF2wRumi5mpWurbUmkAwuAV5KkPH5/eE2v0zwMWMYkM/rL+Y7z3yfz0zEx+c6FsMwDERERK7Dx9sBRESk6VNZiIiIKZWFiIiYUlmIiIgplYWIiJjy9XYAT4iMjKRz587ejiEi0qyUlJSwf//+Op+7Jcuic+fObN682dsxRESalYSEhHqf024oERExpbIQERFTKgsRETF1Sx6zqMulS5coLi7m4sWL3o7SZAUEBNClSxf8/Py8HUVEmpgWUxbFxcUEBgbyy1/+EovF4u04TY5hGJSXl1NcXEy3bt28HUdEmpgWsxvq4sWLdOjQQUVRD4vFQocOHbTlJSJ1ajFlAagoTOjzEZH6tKiyEBGRm9Oiy+K3v/1tg8xTXFzM6NGjAfjkk094/vnnG2Te1atX8/LLL990pm3btjVIDhGRFl0Wf//73xt8zoiICObMmdPg8/5UJSUlbN++3dsxRDzKqK32doQmw9OfRYs5G6ou/fv359ChQ+zfv5/09HTat2/P559/Tp8+fVi2bBkWi4X09HTeeecdqqur6d+/P4sWLcJisfDpp58ya9YsAAYPHuyec//+/bzyyiusXbuW1atXU1xcTFFREadPn2bmzJkcPnyYgoICwsLCeOmll/Dz88NutzNixAgKCgpo3bo1y5cvp2vXrldlPXXqFAsXLqSiooKAgAAWL15Mjx49eO6552jXrh2ffvopZ86cYcaMGYwYMYLly5fzxRdfMHbsWOLj45kwYQLLli3jwIED1NTU8MgjjzTYlpWIt1h8W3NqUYS3YzQJv5j3iUfnb9FbFj909OhRZs2axY4dOyguLubgwYMAjB8/nqysLLZv387Fixd55513AJg5cyZz585l69at15331KlTbNiwgTVr1jBjxgwiIyPZtm0bAQEB5Ofnu5cLDAxk27ZtjB8/nrS0tGvmmTt3LnPnzmXz5s08++yzLFy40P1cWVkZr7/+OmvXrmX58uUAPP300wwYMIAtW7aQnJxMZmYmgYGBZGVlkZWVxcaNGykqKvrZn5uItAwtesvih/r27YvNZgPgrrvuoqSkhAEDBrB//37WrVvHxYsXqayspFevXgwYMIBz584xcOBAAMaOHUtBQUGd8w4ZMgQ/Pz969+6Ny+ViyJAhAPTu3Zvi4mL3ct8f84iLi2Pp0qVXzXHhwgUOHTrEU0895R6rqalx/zx8+HB8fHzo2bMn//3vf+vM8e6773L8+HF27twJwLlz5/jqq68IDw//SZ+TiLRMKov/8ff3d//cqlUrXC4X1dXVLFy4kKysLO644w5Wr15NdfVP2y/4/bw+Pj74+fm5T0/18fHB5XLd0ByGYRAUFMSWLVtMs19vjjlz5vDggw/eYHJpqqovuWjt18rbMaSF8WhZnD17ljlz5vD5559jsVhIS0ujW7duTJ8+nZKSEjp37szKlSsJDg7GMAyWLFlCfn4+AQEBvPDCC/Tp0weA7Oxs1qxZA8DkyZOJj4/3ZGy374uhffv2XLhwgZ07dxIbG0tQUBCBgYF89NFHDBgwoEHOOnrrrbeYNGkSO3bsoH///lc9165dO7p06cJbb73FyJEjMQyD48ePc9ddd9U7X9u2bblw4YL7cXR0NG+88QaDBg3Cz8+P//znP1itVm677bafnV0aV2u/Vvx6xqvejtEkHHzxUW9HaDE8WhZLlizhwQcfZNWqVdTU1HDx4kVeeukloqKimDRpEhkZGWRkZDBjxgz27dvHyZMn2bVrFx9//DELFixg06ZNVFZWkp6eTlZWFhaLhYSEBOx2O8HBwZ6MDkBQUBBJSUmMHj2a22+/nYiI/z+QtnTpUmbNmoXFYrnqAPfNqqqqYsyYMfj7+7NixYprnn/xxRdZsGABa9asoba2llGjRl23LO688058fHx46KGHSEhI4NFHH6WkpISEhAQMw6B9+/b89a9//dm5RaRlsBiGYXhi4nPnzjF27Fjy8vKuujI4NjaW1157jbCwMMrKypgwYQI7d+5k3rx53H///e59998vd+DAAQ4cOMCiRYsArlmuLgkJCdd8+dGxY8e4++67PfBOfz673U5mZiahoaHejtKkPyf5f9qyuOLgi4/qbKj/aYizoer62/k9j21ZFBcXExoaysyZM/nXv/5Fnz59mD17NuXl5YSFhQHQsWNHysvLAXA6ne4DzAA2mw2n03nNuNVqxel0eiq2iIjUwWOnztbW1nL06FF+97vfkZOTQ5s2bcjIyLhqGYvFovsRAXv37m0SWxUiIvXxWFnYbDZsNhv33nsvACNGjODo0aN06NCBsrIy4Mr1Ad//kbRarZSWlrpfX1paitVqvWbc6XRitVo9FVtEROrgsbLo2LEjNpuNL7/8EoD333+fHj16YLfbycnJASAnJ4dhw4YBuMcNw+Dw4cMEBgYSFhZGdHQ0hYWFVFVVUVVVRWFhIdHR0Z6KLSIidfDo2VBz587lmWee4dKlS4SHh7N06VIuX75MSkoKmZmZdOrUiZUrVwIwdOhQ8vPzcTgctGnTxn0Vc0hICFOmTCExMRGAqVOnEhIS4snYIiLyIx4ti7vvvrvOI+sbNmy4ZsxisTB//vw650lMTHSXhYiIND7dG+omVV+6sauvG3q+ffv2ERsbi8PhuOaEARERT9HtPm5SQ19FeyNXorpcLhYtWsT69euxWq0kJiZit9vp2bNng+UQEamLtiyakSNHjtC1a1fCw8Px9/cnLi6OvLw8b8cSkRZAZdGM6AJFEfEWlYWIiJhSWTQjukBRRLxFZdGMREREcPLkSYqKiqipqSE3Nxe73e7tWCLSAuhsqJtUfcnVoPfSv5EvtPH19WXevHk89thjuFwuHn74YXr16tVgGURE6qOyuEkN/U1lNzrf0KFDGTp0aIOuW0TEjHZDiYiIKZWFiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZ3CSjtrrR55s5cyZRUVGMHj26QdctImJG11ncJItva04timiw+X4x7xPTZRISEhg/fjzPPvtsg61XRORGaMuiGRk4cCDBwcHejiEiLZDKQkRETKksRETElMpCRERMqSxERMSUzoa6SUZt9Q2dwfRT5rP4tr7uMqmpqRw4cICKigqGDBnCk08+SVJSUoNlEBGpj8riJpn9YffEfCtWrGjQdYqI3CiPloXdbqdt27b4+PjQqlUrNm/eTGVlJdOnT6ekpITOnTuzcuVKgoODMQyDJUuWkJ+fT0BAAC+88AJ9+vQBIDs7mzVr1gAwefJk4uPjPRlbRER+xOPHLDZs2MCWLVvYvHkzABkZGURFRbFr1y6ioqLIyMgAYN++fZw8eZJdu3axePFiFixYAEBlZSXp6els3LiRTZs2kZ6eTlVVladji4jIDzT6Ae68vDzGjRsHwLhx49izZ89V4xaLhX79+nH27FnKysooLCxk8ODBhISEEBwczODBgykoKLipdRuG0VBv45akz0dE6uPxsvjDH/5AQkICb775JgDl5eWEhYUB0LFjR8rLywFwOp3YbDb362w2G06n85pxq9WK0+n8yTkCAgIoLy/XH8R6GIZBeXk5AQEB3o4iIk2QR49ZvPHGG1itVsrLy5k4cSLdu3e/6nmLxYLFYvFkBLcuXbpQXFzMmTNnGmV9zVFAQABdunTxdgwRaYI8WhZWqxWADh064HA4OHLkCB06dKCsrIywsDDKysoIDQ11L1taWup+bWlpKVarFavVyoEDB9zjTqeT+++//ydn8fPzo1u3bj/zHYmItEwe2w317bffcv78effP7777Lr169cJut5OTkwNATk4Ow4YNA3CPG4bB4cOHCQwMJCwsjOjoaAoLC6mqqqKqqorCwkKio6M9FVtEROrgsS2L8vJypk6dCoDL5WL06NEMGTKEiIgIUlJSyMzMpFOnTqxcuRKAoUOHkp+fj8PhoE2bNqSlpQEQEhLClClTSExMBGDq1KmEhIR4KraIiNTBY2URHh7O1q1brxlv3749GzZsuGbcYrEwf/78OudKTEx0l4WIiDQ+3RtKRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMpCRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMpCRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMpCRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMfLwuVyMW7cOB5//HEAioqKSEpKwuFwkJKSQk1NDQA1NTWkpKTgcDhISkqiuLjYPcfatWtxOBzExsZSUFDg6cgiIvIjHi+LV199lR49ergfL1u2jOTkZHbv3k1QUBCZmZkAbNq0iaCgIHbv3k1ycjLLli0D4MSJE+Tm5pKbm8u6detYuHAhLpfL07FFROQHPFoWpaWl/OMf/yAxMREAwzD44IMPiI2NBSA+Pp68vDwA9u7dS3x8PACxsbG8//77GIZBXl4ecXFx+Pv7Ex4eTteuXTly5IgnY4uIyI94tCzS0tKYMWMGPj5XVlNRUUFQUBC+vr4A2Gw2nE4nAE6nkzvuuAMAX19fAgMDqaiowOl0YrPZ3HNarVb3a0REpHF4rCzeeecdQkND+dWvfuWpVYiISCPx9dTE//znP9m7dy/79u2jurqa8+fPs2TJEs6ePUttbS2+vr6UlpZitVqBK1sMp0+fxmazUVtby7lz52jfvj1Wq5XS0lL3vE6n0/0aERFpHB7bsnj66afZt28fe/fuZcWKFQwaNIjly5cTGRnJzp07AcjOzsZutwNgt9vJzs4GYOfOnQwaNAiLxYLdbic3N5eamhqKioo4efIkffv29VRsERGpQ6NfZzFjxgzWr1+Pw+GgsrKSpKQkABITE6msrMThcLB+/XqeeeYZAHr16sXIkSMZNWoUjz32GPPmzaNVq1aNHVtEpEXz2G6oH4qMjCQyMhKA8PBw9+myP9S6dWtWrVpV5+snT57M5MmTPZrxx6ovuWjtp1ICfRYi0khl0Ry19mvFr2e86u0YTcLBFx/1dgQR8TLd7kNEREypLERExJTKQkwZtdXejtBk6LOQlkrHLMSUxbc1pxZFeDtGk/CLeZ94O4KIV2jLQkRETKksRETElMpCRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMpCRERMqSxERMSUykJEREypLERExJTpjQS/+OIL8vLyKCsrAyAsLIxhw4bRo0cPj4cTEZGm4bpbFhkZGaSmpgIQERFBRMSVO4+mpqaSkZHh+XQiItIkXHfLIisri+3bt+Pn53fVeHJyMqNHj2bSpEkeDSciIk3DdbcsLBaLe/fTD505cwaLxeKxUCIi0rRcd8ti1qxZJCcn07VrV+644w4Avv76a06dOsXcuXMbJaCIiHjfdctiyJAh7Ny5kyNHjuB0OgGwWq1ERETQqlWrRgkoIiLeZ3o2lI+PD/369WuEKCIi0lR57DqL6upqEhMTeeihh4iLi2PVqlUAFBUVkZSUhMPhICUlhZqaGgBqampISUnB4XCQlJREcXGxe661a9ficDiIjY2loKDAU5FFRKQeHisLf39/NmzYwNatW8nJyaGgoIDDhw+zbNkykpOT2b17N0FBQWRmZgKwadMmgoKC2L17N8nJySxbtgyAEydOkJubS25uLuvWrWPhwoW4XC5PxRYRkTp4rCwsFgtt27YFoLa2ltraWiwWCx988AGxsbEAxMfHk5eXB8DevXuJj48HIDY2lvfffx/DMMjLyyMuLg5/f3/Cw8Pp2rUrR44c8VRsERGpg0dv9+FyuRg7diwPPPAADzzwAOHh4QQFBeHre+VQic1mcx84dzqd7jOufH19CQwMpKKiAqfTic1mc89ptVrdrxERkcbh0bJo1aoVW7ZsIT8/nyNHjvDll196cnUiIuIhjXIjwaCgICIjIzl8+DBnz56ltrYWgNLSUqxWK3Bli+H06dPAld1W586do3379litVkpLS91zOZ1O92tERKRxeKwsvvnmG86ePQvAxYsXee+99+jRoweRkZHs3LkTgOzsbOx2OwB2u53s7GwAdu7cyaBBg7BYLNjtdnJzc6mpqaGoqIiTJ0/St29fT8UWEZE6mF5ncbPKysp47rnncLlcGIbBiBEj+M1vfkPPnj2ZPn06K1eu5O677yYpKQmAxMREZsyYgcPhIDg4mD//+c8A9OrVi5EjRzJq1ChatWrFvHnzdEGgiEgj81hZ3HXXXeTk5FwzHh4e7j5d9odat27tvhbjxyZPnszkyZMbOqKIiNwgffmRiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKY+VxenTp5kwYQKjRo0iLi6ODRs2AFBZWcnEiROJiYlh4sSJVFVVAWAYBs8//zwOh4MxY8bw2WefuefKzs4mJiaGmJgYsrOzPRVZRETq4bGyaNWqFc899xw7duzgzTff5PXXX+fEiRNkZGQQFRXFrl27iIqKIiMjA4B9+/Zx8uRJdu3axeLFi1mwYAFwpVzS09PZuHEjmzZtIj093V0wIiLSODxWFmFhYfTp0weAdu3a0b17d5xOJ3l5eYwbNw6AcePGsWfPHgD3uMVioV+/fpw9e5aysjIKCwsZPHgwISEhBAcHM3jwYAoKCjwVW0RE6tAoxyyKi4s5duwY9957L+Xl5YSFhQHQsWNHysvLAXA6ndhsNvdrbDYbTqfzmnGr1YrT6WyM2CIi8j8eL4sLFy4wbdo0Zs2aRbt27a56zmKxYLFYPB1BRER+Jo+WxaVLl5g2bRpjxowhJiYGgA4dOlBWVgZAWVkZoaGhwJUthtLSUvdrS0tLsVqt14w7nU6sVqsnY4uIyI94rCwMw2D27Nl0796diRMnusftdjs5OTkA5OTkMGzYsKvGDcPg8OHDBAYGEhYWRnR0NIWFhVRVVVFVVUVhYSHR0dGeii0iInXw9dTEBw8eZMuWLfTu3ZuxY8cCkJqayqRJk0hJSSEzM5NOnTqxcuVKAIYOHUp+fj4Oh4M2bdqQlpYGQEhICFOmTCExMRGAqVOnEhIS4qnYIiJSB4+VxYABAzh+/Hidz31/zcUPWSwW5s+fX+fyiYmJ7rIQEZHGpyu4RUTElMpCRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMpCRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMpCRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMpCRERMqSxERMSUykJEREypLERExJTKQkRETKksRETElMfKYubMmURFRTF69Gj3WGVlJRMnTiQmJoaJEydSVVUFgGEYPP/88zgcDsaMGcNnn33mfk12djYxMTHExMSQnZ3tqbgiInIdHiuLhIQE1q1bd9VYRkYGUVFR7Nq1i6ioKDIyMgDYt28fJ0+eZNeuXSxevJgFCxYAV8olPT2djRs3smnTJtLT090FIyIijcdjZTFw4ECCg4OvGsvLy2PcuHEAjBs3jj179lw1brFY6NevH2fPnqWsrIzCwkIGDx5MSEgIwcHBDB48mIKCAk9FFhGRejTqMYvy8nLCwsIA6NixI+Xl5QA4nU5sNpt7OZvNhtPpvGbcarXidDobM7KIiODFA9wWiwWLxeKt1YuIyE/QqGXRoUMHysrKACgrKyM0NBS4ssVQWlrqXq60tBSr1XrNuNPpxGq1NmZkERGhkcvCbreTk5MDQE5ODsOGDbtq3DAMDh8+TGBgIGFhYURHR1NYWEhVVRVVVVUUFhYSHR3dmJFFRATw9dTEqampHDhwgIqKCoYMGcKTTz7JpEmTSElJITMzk06dOrFy5UoAhg4dSn5+Pg6HgzZt2pCWlgZASEgIU6ZMITExEYCpU6cSEhLiqcgiIlIPj5XFihUr6hzfsGHDNWMWi4X58+fXuXxiYqK7LERExDt0BbeIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIgplYWIiJhSWYiIiCmVhYiImFJZiIiIKZWFiIiYUlmIiIipZlMW+/btIzY2FofDQUZGhrfjiIi0KM2iLFwuF4sWLWLdunXk5uayfft2Tpw44e1YIiItRrMoiyNHjtC1a1fCw8Px9/cnLi6OvLw8b8cSEWkxfL0d4EY4nU5sNpv7sdVq5ciRI/UuX1JSQkJCws9eb9efPcOtISEhB+jl7RhNQwP8XjUE/W5eod/NH2iA382SkpJ6n2sWZfFT7d+/39sRRERuKc1iN5TVaqW0tNT92Ol0YrVavZhIRKRlaRZlERERwcmTJykqKqKmpobc3Fzsdru3Y4mItBjNYjeUr68v8+bN47HHHsPlcvHwww/Tq5f2U4qINBaLYRiGt0OIiEjT1ix2Q4mIiHepLERExJTKQq5Lt1mRpuj06dNMmDCBUaNGERcXx4YNG7wd6ZanYxZSL5fLRWxsLOvXr8dqtZKYmMiKFSvo2bOnt6NJC1dWVsaZM2fo06cP58+f5+GHH+Yvf/mLfjc9SFsWUi/dZkWaqrCwMPr06QNAu3bt6N69O06n08upbm0qC6lXXbdZ0f+Q0tQUFxdz7Ngx7r33Xm9HuaWpLESk2bpw4QLTpk1j1qxZtGvXzttxbmkqC6mXbrMiTdmlS5eYNm0aY8aMISYmxttxbnkqC6mXbrMiTZVhGMyePZvu3bszceJEb8dpEXQ2lFxXfn4+aWlp7tusTJ482duRRPjoo4945JFH6N27Nz4+V/7Nm5qaytChQ72c7NalshAREVPaDSUiIqZUFiIiYkplISIiplQWIiJiSmUhIiKmVBbSotXW1l73cXPT3PNL09UsvlZV5Ebk5OTw8ssvY7FYuPPOOxk5ciRr1qzh0qVLhISEsGzZMm6//XZWr17NqVOnKCoqolOnTnTr1u2qx6mpqcyaNYuKigpCQ0NZunQpnTp1qnOd33zzDfPnz+frr78GYNasWfz617+uc9lvv/2WxYsX8+9//5va2lqeeOIJhg8fzubNm9mzZw/fffcdX331Fb///e+5dOkSW7Zswd/fn4yMDEJCQpgwYQJ33nknH374IS6Xi7S0NPr27XvN+5kzZ06dmb755huefvppysrK6NevH++99x5ZWVmEhoayfv16srKyAEhMTCQ5Obnh/wNJ82aI3AI+//xzIyYmxigvLzcMwzAqKiqMyspK4/Lly4ZhGMbGjRuNpUuXGoZhGKtWrTLi4+ON7777rs7Hjz/+uLF582bDMAxj06ZNxuTJk+tdb2pqqvHhhx8ahmEYJSUlxogRI+pddvny5UZOTo5hGIZRVVVlxMTEGBcuXDCysrKM4cOHG+fOnTPKy8uN++67z3j99dcNwzCMJUuWGOvXrzcMwzDGjx9vzJ492zAMwzhw4IARFxdXZ/76Mi1cuNB46aWXDMMwjPz8fKN3795GeXm58cknnxijR482Lly4YJw/f94YNWqU8dlnn93Apy4tibYs5JbwwQcfMGLECEJDQwEICQnh+PHjTJ8+nTNnzlBTU0OXLl3cy9vtdgICAup8fOjQIVavXg3A2LFjefHFF+td73vvvceJEyfcj8+fP8+FCxdo27btNcsWFhayd+9eXnnlFQCqq6s5ffo0AJGRke4b4QUGBrpvq9K7d2+OHz/uniMuLg6AgQMHcv78ec6ePXtN/voyHTx4kPT0dACGDBlCcHAwAAcPHmT48OHcdtttADgcDj766CPuueeeet+3tDwqC7llPf/88yQnJzNs2DD279/v/kMJ0KZNm6uW/fHjG3X58mU2btxI69atb2j5VatW0b1796vGPv74Y/z9/d2PfXx88PPzc//scrncz1kslqte+/3jH+b/qZlEboQOcMstYdCgQbz99ttUVFQAUFlZyblz59x3yc3Jybnhufr3709ubi4A27ZtY8CAAfUuGx0dzWuvveZ+fOzYsesu+7e//Q3jf3fYOXr06A1n+t6OHTuAK/dGCgwMJDAw8IYz3Xfffbz11lvAla2cqqoqAAYMGOA+ZvLtt9+yZ8+e675naZm0ZSG3hF69evHHP/6RCRMm4OPjwz333MMTTzzBU089RXBwMJGRkRQXF9/QXHPnzmXmzJm8/PLL7gPc9Zk9ezaLFi1izJgxuFwuBgwYwKJFi+pcdsqUKaSlpfHQQw9x+fJlunTpwtq1a3/S+2zdujXjxo2jtraWtLS0n5TpiSeeIDU1la1bt9KvXz86duxIu3bt6NOnDwkJCSQlJQFXDnBrF5T8mG4kKNJMTJgwgT/96U9ERETc1Otramrw8fHB19eXQ4cOsWDBArZs2dLAKeVWpS0LkRbi66+/JiUlhcuXL+Pn58fixYu9HUmaEW1ZiNyANWvW8Pbbb181NmLEiDq/3yMrK4tXX331qrH77ruP+fPnezSjiCepLERExJTOhhIREVMqCxERMaWyEBERUyoLERExpbIQERFT/wcFPo9RC5xAGQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('white')\n",
    "\n",
    "cols = ['dia_vencimento',\n",
    "       'forma_envio_solicitacao', 'sexo',\n",
    "       'estado_civil', 'possui_telefone_residencial',\n",
    "       'estado_onde_nasceu', 'estado_onde_reside', 'estado_onde_trabalha', 'meses_na_residencia',\n",
    "       'vinculo_formal_com_empresa', 'possui_carro',\n",
    "       'qtde_contas_bancarias', 'produto_solicitado', 'tipo_residencia', 'ocupacao', 'carro_e_emprego']\n",
    "\n",
    "for col in cols:\n",
    "    plot_inadimplente_analysis(col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "useful_features = ['id_solicitante', 'produto_solicitado', 'dia_vencimento',\n",
    "       'sexo', 'idade', 'estado_civil',\n",
    "       'possui_telefone_residencial', 'meses_na_residencia',\n",
    "       'valor_patrimonio_pessoal_norm', 'profissao', 'ocupacao',\n",
    "       'inadimplente', 'idade_bin',\n",
    "       'renda_total_norm', 'estado_onde_nasceu', 'estado_onde_reside',\n",
    "       'regiao_onde_reside' , 'regiao_onde_nasceu', 'origem'] \n",
    "\n",
    "len(useful_features)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Análise de renda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "credit_df['renda_total'] = credit_df['renda_mensal_regular'] + credit_df['renda_extra']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "credit_df['valor_patrimonio_pessoal_norm'] = (\n",
    "    credit_df['valor_patrimonio_pessoal']-credit_df['valor_patrimonio_pessoal'].mean())/credit_df['valor_patrimonio_pessoal'].std()\n",
    "\n",
    "credit_df['renda_total_norm'] = (\n",
    "    credit_df['renda_total']-credit_df['renda_total'].mean())/credit_df['renda_total'].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       -0.047591\n",
       "1       -0.047591\n",
       "2       -0.047591\n",
       "3       -0.047591\n",
       "4       -0.047591\n",
       "           ...   \n",
       "19995   -0.047591\n",
       "19996   -0.047591\n",
       "19997   -0.047591\n",
       "19998   -0.047591\n",
       "19999   -0.047591\n",
       "Name: valor_patrimonio_pessoal_norm, Length: 20000, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_df['valor_patrimonio_pessoal_norm']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='renda_total_norm', ylabel='idade'>"
      ]
     },
     "execution_count": 18,
     "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": [
    "x = credit_df[['renda_total_norm', 'idade', 'inadimplente']]\n",
    "\n",
    "sns.scatterplot(x='renda_total_norm', y='idade', data=x, hue='inadimplente')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='renda_total_norm', ylabel='valor_patrimonio_pessoal_norm'>"
      ]
     },
     "execution_count": 243,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = credit_df[\n",
    "    (credit_df['renda_total_norm'] < 0) &\n",
    "    (credit_df['valor_patrimonio_pessoal_norm'] < 0)\n",
    "     ][['renda_total_norm', 'valor_patrimonio_pessoal_norm', 'inadimplente']]\n",
    "\n",
    "sns.scatterplot(\n",
    "    x='renda_total_norm', y='valor_patrimonio_pessoal_norm', data=x, hue='inadimplente'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Análise por estado / Região"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "estado_cols = ['estado_onde_trabalha', 'estado_onde_nasceu', 'estado_onde_reside']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'_onde_trabalha'"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = 'estado_onde_trabalha'\n",
    "x[6:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['CE', 'SE', 'BA', 'RS', 'SP', 'ES', 'GO', 'PR', 'AC', 'PE', ' ',\n",
       "       'MA', 'MG', 'MT', 'RN', 'PA', 'SC', 'PI', 'RR', 'RJ', 'AL', 'AM',\n",
       "       'DF', 'MS', 'PB', 'TO', 'AP', 'RO'], dtype=object)"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_df['estado_onde_nasceu'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "0\n",
      "0\n"
     ]
    }
   ],
   "source": [
    "# cria coluna regiao\n",
    "regions = {'PR' : 'Sul', \n",
    "'RS' : 'Sul',\n",
    "'SC' : 'Sul',\n",
    "'RJ' : 'Sudeste',\n",
    "'SP' : 'Sudeste',\n",
    "'ES' : 'Sudeste',\n",
    "'MG' : 'Sudeste',\n",
    "'DF' : 'Centro-Oeste',\n",
    "'GO' : 'Centro-Oeste', \n",
    "'MT' : 'Centro-Oeste',\n",
    "'MS' : 'Centro-Oeste',\n",
    "'PA' : 'Norte', \n",
    "'AC' : 'Norte',\n",
    "'RR' : 'Norte', \n",
    "'AM' : 'Norte', \n",
    "'RO' : 'Norte', \n",
    "'TO' : 'Norte', \n",
    "'AP' : 'Norte',\n",
    "'BA' : 'Nordeste',\n",
    "'CE' : 'Nordeste', \n",
    "'SE' : 'Nordeste', \n",
    "'PE' : 'Nordeste', \n",
    "'MA' : 'Nordeste', \n",
    "'PI' : 'Nordeste', \n",
    "'AL' : 'Nordeste', \n",
    "'PB' : 'Nordeste', \n",
    "'RN' : 'Nordeste',\n",
    "' ' : 'Sem estado'}\n",
    "\n",
    "regiao_cols = []\n",
    "\n",
    "for col in estado_cols:\n",
    "    credit_df[f'regiao{col[6:]}'] = credit_df[col].map(regions)\n",
    "    regiao_cols.append(f'regiao{col[6:]}')\n",
    "    print(credit_df[f'regiao{col[6:]}'].isna().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "regiao__onde_trabalha\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "regiao__onde_nasceu\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "regiao__onde_reside\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for col in regiao_cols:\n",
    "    x = credit_df.groupby([col, 'inadimplente']).size().reset_index()\n",
    "    print(col)\n",
    "    sns.barplot(x=col, y=0, hue='inadimplente', data=x)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nordeste\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sul\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sudeste\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Centro-Oeste\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Norte\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sem estado\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for regiao in credit_df['regiao'].unique().tolist():\n",
    "    print(regiao)\n",
    "    x = credit_df[\n",
    "        credit_df['regiao'] == regiao\n",
    "    ].groupby(['estado_onde_nasceu', 'inadimplente']).size().reset_index()\n",
    "\n",
    "    sns.barplot(x='estado_onde_nasceu', y=0, hue='inadimplente', data=x)\n",
    "    \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "partial_clean_df = credit_df[useful_features]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_solicitante</th>\n",
       "      <th>produto_solicitado</th>\n",
       "      <th>dia_vencimento</th>\n",
       "      <th>sexo</th>\n",
       "      <th>idade</th>\n",
       "      <th>estado_civil</th>\n",
       "      <th>possui_telefone_residencial</th>\n",
       "      <th>meses_na_residencia</th>\n",
       "      <th>valor_patrimonio_pessoal_norm</th>\n",
       "      <th>profissao</th>\n",
       "      <th>ocupacao</th>\n",
       "      <th>inadimplente</th>\n",
       "      <th>idade_bin</th>\n",
       "      <th>renda_total_norm</th>\n",
       "      <th>estado_onde_nasceu</th>\n",
       "      <th>estado_onde_reside</th>\n",
       "      <th>regiao_onde_reside</th>\n",
       "      <th>regiao_onde_nasceu</th>\n",
       "      <th>origem</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>M</td>\n",
       "      <td>85</td>\n",
       "      <td>2</td>\n",
       "      <td>Y</td>\n",
       "      <td>12.0</td>\n",
       "      <td>-0.05199</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>(80, 90]</td>\n",
       "      <td>-0.046670</td>\n",
       "      <td>CE</td>\n",
       "      <td>CE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>treino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>F</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>Y</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-0.05199</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>(30, 40]</td>\n",
       "      <td>-0.056198</td>\n",
       "      <td>SE</td>\n",
       "      <td>SE</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>treino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>F</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>Y</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.05199</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>(30, 40]</td>\n",
       "      <td>-0.035237</td>\n",
       "      <td>BA</td>\n",
       "      <td>BA</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>treino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>M</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>Y</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.05199</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>(30, 40]</td>\n",
       "      <td>-0.048576</td>\n",
       "      <td>RS</td>\n",
       "      <td>RS</td>\n",
       "      <td>Sul</td>\n",
       "      <td>Sul</td>\n",
       "      <td>treino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>51</td>\n",
       "      <td>1</td>\n",
       "      <td>Y</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.05199</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>(50, 60]</td>\n",
       "      <td>0.030217</td>\n",
       "      <td>BA</td>\n",
       "      <td>BA</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>treino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4995</th>\n",
       "      <td>24996</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>F</td>\n",
       "      <td>49</td>\n",
       "      <td>2</td>\n",
       "      <td>N</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-0.05199</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(40, 50]</td>\n",
       "      <td>-0.025709</td>\n",
       "      <td>MA</td>\n",
       "      <td>MA</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>teste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4996</th>\n",
       "      <td>24997</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>M</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-0.05199</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "      <td>-0.031426</td>\n",
       "      <td>PR</td>\n",
       "      <td>PR</td>\n",
       "      <td>Sul</td>\n",
       "      <td>Sul</td>\n",
       "      <td>teste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4997</th>\n",
       "      <td>24998</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>F</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-0.05199</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 30]</td>\n",
       "      <td>-0.044765</td>\n",
       "      <td>MA</td>\n",
       "      <td>MG</td>\n",
       "      <td>Sudeste</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>teste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4998</th>\n",
       "      <td>24999</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>F</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>Y</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-0.05199</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(30, 40]</td>\n",
       "      <td>-0.059056</td>\n",
       "      <td>PA</td>\n",
       "      <td>PA</td>\n",
       "      <td>Norte</td>\n",
       "      <td>Norte</td>\n",
       "      <td>teste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4999</th>\n",
       "      <td>25000</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>F</td>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "      <td>Y</td>\n",
       "      <td>14.0</td>\n",
       "      <td>-0.05199</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(50, 60]</td>\n",
       "      <td>-0.025709</td>\n",
       "      <td>BA</td>\n",
       "      <td>BA</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>Nordeste</td>\n",
       "      <td>teste</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25000 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id_solicitante  produto_solicitado  dia_vencimento sexo  idade  \\\n",
       "0                  1                   1              10    M     85   \n",
       "1                  2                   1              25    F     38   \n",
       "2                  3                   1              20    F     37   \n",
       "3                  4                   1              20    M     37   \n",
       "4                  5                   7               1    F     51   \n",
       "...              ...                 ...             ...  ...    ...   \n",
       "4995           24996                   1              10    F     49   \n",
       "4996           24997                   1               5    M     18   \n",
       "4997           24998                   1              10    F     29   \n",
       "4998           24999                   1              25    F     31   \n",
       "4999           25000                   1              25    F     54   \n",
       "\n",
       "      estado_civil possui_telefone_residencial  meses_na_residencia  \\\n",
       "0                2                           Y                 12.0   \n",
       "1                1                           Y                  5.0   \n",
       "2                2                           Y                  1.0   \n",
       "3                1                           Y                  1.0   \n",
       "4                1                           Y                  1.0   \n",
       "...            ...                         ...                  ...   \n",
       "4995             2                           N                  8.0   \n",
       "4996             2                           Y                  2.0   \n",
       "4997             1                           Y                  2.0   \n",
       "4998             2                           Y                 10.0   \n",
       "4999             1                           Y                 14.0   \n",
       "\n",
       "      valor_patrimonio_pessoal_norm  profissao  ocupacao  inadimplente  \\\n",
       "0                          -0.05199        9.0       1.0           0.0   \n",
       "1                          -0.05199        2.0       5.0           0.0   \n",
       "2                          -0.05199        NaN       NaN           1.0   \n",
       "3                          -0.05199        9.0       2.0           1.0   \n",
       "4                          -0.05199        9.0       5.0           1.0   \n",
       "...                             ...        ...       ...           ...   \n",
       "4995                       -0.05199        9.0       1.0           NaN   \n",
       "4996                       -0.05199        NaN       NaN           NaN   \n",
       "4997                       -0.05199        9.0       5.0           NaN   \n",
       "4998                       -0.05199        NaN       NaN           NaN   \n",
       "4999                       -0.05199        9.0       5.0           NaN   \n",
       "\n",
       "     idade_bin  renda_total_norm estado_onde_nasceu estado_onde_reside  \\\n",
       "0     (80, 90]         -0.046670                 CE                 CE   \n",
       "1     (30, 40]         -0.056198                 SE                 SE   \n",
       "2     (30, 40]         -0.035237                 BA                 BA   \n",
       "3     (30, 40]         -0.048576                 RS                 RS   \n",
       "4     (50, 60]          0.030217                 BA                 BA   \n",
       "...        ...               ...                ...                ...   \n",
       "4995  (40, 50]         -0.025709                 MA                 MA   \n",
       "4996  (10, 20]         -0.031426                 PR                 PR   \n",
       "4997  (20, 30]         -0.044765                 MA                 MG   \n",
       "4998  (30, 40]         -0.059056                 PA                 PA   \n",
       "4999  (50, 60]         -0.025709                 BA                 BA   \n",
       "\n",
       "     regiao_onde_reside regiao_onde_nasceu  origem  \n",
       "0              Nordeste           Nordeste  treino  \n",
       "1              Nordeste           Nordeste  treino  \n",
       "2              Nordeste           Nordeste  treino  \n",
       "3                   Sul                Sul  treino  \n",
       "4              Nordeste           Nordeste  treino  \n",
       "...                 ...                ...     ...  \n",
       "4995           Nordeste           Nordeste   teste  \n",
       "4996                Sul                Sul   teste  \n",
       "4997            Sudeste           Nordeste   teste  \n",
       "4998              Norte              Norte   teste  \n",
       "4999           Nordeste           Nordeste   teste  \n",
       "\n",
       "[25000 rows x 19 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "partial_clean_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "partial_clean_df.to_csv(f'data/desafio 1/dataset_from_eda_{date.today()}.csv', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature Engineering com clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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