Estudo_EDA_Consumidor.ipynb

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      "name": "Estudo-EDA-Consumidor.ipynb",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tQEUJdD7qCbT"
      },
      "source": [
        "\n",
        "Estudo do artigo https://minerandodados.com.br/analise-exploratoria-de-dados-passo-a-passo-com-python/."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "odx-TGaIq3LY"
      },
      "source": [
        "A base de dados que iremos explorar será o consumidor.gov.br que é um canal para registro de reclamações dos consumidores sobre um produto ou serviço, tem a mesma ideia do Reclame Aqui mas é mantido pelo governo federal.\n",
        "\n",
        "Para ter acesso a esses dados basta entrar em https://consumidor.gov.br/pages/dadosabertos/externo/."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s8GntLvJpGgz"
      },
      "source": [
        "#Importando as bibliotecas\n",
        "import pandas            as pd\n",
        "import numpy             as np\n",
        "import seaborn           as sns\n",
        "import matplotlib.pyplot as plt\n",
        "from IPython.display     import display\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "plt.style.use('seaborn-darkgrid')\n",
        "sns.set(font_scale=1.1)\n",
        "\n",
        "#Alterando o formato global de exibição dos dados\n",
        "pd.options.display.float_format=\"{:.2f}\".format"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wQtQ3RA3qtFH"
      },
      "source": [
        "#Lendo a base de dados\n",
        "url = \"https://raw.githubusercontent.com/claricefiorese/estudos-python/main/2019-01.csv\"\n",
        "dados = pd.read_csv(url, sep=\";\", encoding=\"latin1\")"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 959
        },
        "id": "rQV2VR8rtgmU",
        "outputId": "c5a4d735-ac6f-4811-d49f-ac561d937c84"
      },
      "source": [
        "#Visualizando as 5 primeiras linhas\n",
        "dados.head().T"
      ],
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>4</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Região</th>\n",
              "      <td>SE</td>\n",
              "      <td>SE</td>\n",
              "      <td>SE</td>\n",
              "      <td>SE</td>\n",
              "      <td>SE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>UF</th>\n",
              "      <td>RJ</td>\n",
              "      <td>RJ</td>\n",
              "      <td>SP</td>\n",
              "      <td>SP</td>\n",
              "      <td>SP</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cidade</th>\n",
              "      <td>Papucaia</td>\n",
              "      <td>Japeri</td>\n",
              "      <td>São Paulo</td>\n",
              "      <td>Pindamonhangaba</td>\n",
              "      <td>São Paulo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sexo</th>\n",
              "      <td>F</td>\n",
              "      <td>M</td>\n",
              "      <td>M</td>\n",
              "      <td>M</td>\n",
              "      <td>F</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Faixa Etária</th>\n",
              "      <td>entre 61 a 70 anos</td>\n",
              "      <td>entre 31 a 40 anos</td>\n",
              "      <td>entre 31 a 40 anos</td>\n",
              "      <td>entre 51 a 60 anos</td>\n",
              "      <td>entre 21 a 30 anos</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Data Finalização</th>\n",
              "      <td>30/01/2019</td>\n",
              "      <td>28/01/2019</td>\n",
              "      <td>31/01/2019</td>\n",
              "      <td>26/01/2019</td>\n",
              "      <td>24/01/2019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tempo Resposta</th>\n",
              "      <td>3.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nome Fantasia</th>\n",
              "      <td>Banco Pan</td>\n",
              "      <td>Serasa Experian</td>\n",
              "      <td>Samsung</td>\n",
              "      <td>NET</td>\n",
              "      <td>Serasa Experian</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Segmento de Mercado</th>\n",
              "      <td>Bancos, Financeiras e Administradoras de Cartão</td>\n",
              "      <td>Bancos de Dados e Cadastros de Consumidores</td>\n",
              "      <td>Fabricantes - Eletroeletrônicos,  Produtos de ...</td>\n",
              "      <td>Operadoras de Telecomunicações (Telefonia, Int...</td>\n",
              "      <td>Bancos de Dados e Cadastros de Consumidores</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Área</th>\n",
              "      <td>Serviços Financeiros</td>\n",
              "      <td>Serviços Financeiros</td>\n",
              "      <td>Produtos de Telefonia e Informática</td>\n",
              "      <td>Telecomunicações</td>\n",
              "      <td>Serviços Financeiros</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Assunto</th>\n",
              "      <td>Crédito Consignado (Empréstimo descontado em f...</td>\n",
              "      <td>Banco de Dados e Cadastros de Consumidores (SP...</td>\n",
              "      <td>Tablet</td>\n",
              "      <td>Pacote de Serviços ( Combo )</td>\n",
              "      <td>Banco de Dados e Cadastros de Consumidores (SP...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Grupo Problema</th>\n",
              "      <td>Cobrança / Contestação</td>\n",
              "      <td>Informação</td>\n",
              "      <td>Saúde e Segurança</td>\n",
              "      <td>Cobrança / Contestação</td>\n",
              "      <td>Informação</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Problema</th>\n",
              "      <td>Dificuldade para obter boleto de quitação ou i...</td>\n",
              "      <td>Dados pessoais ou financeiros consultados, col...</td>\n",
              "      <td>Risco, dano físico ou mal estar decorrente da ...</td>\n",
              "      <td>Cobrança após cancelamento do serviço</td>\n",
              "      <td>Dados pessoais ou financeiros consultados, col...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Como Comprou Contratou</th>\n",
              "      <td>Telefone</td>\n",
              "      <td>Telefone</td>\n",
              "      <td>Internet</td>\n",
              "      <td>Internet</td>\n",
              "      <td>Internet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Procurou Empresa</th>\n",
              "      <td>S</td>\n",
              "      <td>S</td>\n",
              "      <td>N</td>\n",
              "      <td>S</td>\n",
              "      <td>N</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Respondida</th>\n",
              "      <td>S</td>\n",
              "      <td>S</td>\n",
              "      <td>S</td>\n",
              "      <td>S</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Situação</th>\n",
              "      <td>Finalizada avaliada</td>\n",
              "      <td>Finalizada avaliada</td>\n",
              "      <td>Finalizada avaliada</td>\n",
              "      <td>Finalizada avaliada</td>\n",
              "      <td>Finalizada avaliada</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Avaliação Reclamação</th>\n",
              "      <td>Não Resolvida</td>\n",
              "      <td>Não Resolvida</td>\n",
              "      <td>Não Resolvida</td>\n",
              "      <td>Resolvida</td>\n",
              "      <td>Não Resolvida</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nota do Consumidor</th>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>5.00</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
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            ],
            "text/plain": [
              "                                                                        0  ...                                                  4\n",
              "Região                                                                 SE  ...                                                 SE\n",
              "UF                                                                     RJ  ...                                                 SP\n",
              "Cidade                                                           Papucaia  ...                                          São Paulo\n",
              "Sexo                                                                    F  ...                                                  F\n",
              "Faixa Etária                                           entre 61 a 70 anos  ...                                 entre 21 a 30 anos\n",
              "Data Finalização                                               30/01/2019  ...                                         24/01/2019\n",
              "Tempo Resposta                                                       3.00  ...                                               0.00\n",
              "Nome Fantasia                                                  Banco Pan   ...                                   Serasa Experian \n",
              "Segmento de Mercado       Bancos, Financeiras e Administradoras de Cartão  ...        Bancos de Dados e Cadastros de Consumidores\n",
              "Área                                                 Serviços Financeiros  ...                               Serviços Financeiros\n",
              "Assunto                 Crédito Consignado (Empréstimo descontado em f...  ...  Banco de Dados e Cadastros de Consumidores (SP...\n",
              "Grupo Problema                                     Cobrança / Contestação  ...                                         Informação\n",
              "Problema                Dificuldade para obter boleto de quitação ou i...  ...  Dados pessoais ou financeiros consultados, col...\n",
              "Como Comprou Contratou                                           Telefone  ...                                           Internet\n",
              "Procurou Empresa                                                        S  ...                                                  N\n",
              "Respondida                                                              S  ...                                                  S\n",
              "Situação                                              Finalizada avaliada  ...                                Finalizada avaliada\n",
              "Avaliação Reclamação                                        Não Resolvida  ...                                      Não Resolvida\n",
              "Nota do Consumidor                                                   1.00  ...                                               1.00\n",
              "Total                                                                   1  ...                                                  1\n",
              "\n",
              "[20 rows x 5 columns]"
            ]
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          "metadata": {
            "tags": []
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          "execution_count": 82
        }
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      "metadata": {
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        "id": "iYgk1iwntkgU",
        "outputId": "e667ee3d-c7fc-46b5-d36b-9cd1f813b6d2"
      },
      "source": [
        "dados.info()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 60557 entries, 0 to 60556\n",
            "Data columns (total 20 columns):\n",
            " #   Column                  Non-Null Count  Dtype  \n",
            "---  ------                  --------------  -----  \n",
            " 0   Região                  60557 non-null  object \n",
            " 1   UF                      60557 non-null  object \n",
            " 2   Cidade                  60557 non-null  object \n",
            " 3   Sexo                    60557 non-null  object \n",
            " 4   Faixa Etária            60557 non-null  object \n",
            " 5   Data Finalização        60557 non-null  object \n",
            " 6   Tempo Resposta          59958 non-null  float64\n",
            " 7   Nome Fantasia           60557 non-null  object \n",
            " 8   Segmento de Mercado     60557 non-null  object \n",
            " 9   Área                    60557 non-null  object \n",
            " 10  Assunto                 60557 non-null  object \n",
            " 11  Grupo Problema          60557 non-null  object \n",
            " 12  Problema                60557 non-null  object \n",
            " 13  Como Comprou Contratou  60557 non-null  object \n",
            " 14  Procurou Empresa        60557 non-null  object \n",
            " 15  Respondida              60557 non-null  object \n",
            " 16  Situação                60557 non-null  object \n",
            " 17  Avaliação Reclamação    60557 non-null  object \n",
            " 18  Nota do Consumidor      34632 non-null  float64\n",
            " 19  Total                   60557 non-null  int64  \n",
            "dtypes: float64(2), int64(1), object(17)\n",
            "memory usage: 9.2+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fGbN7HUjtqNL",
        "outputId": "0f55db0d-5514-4206-c116-05b686feb4e1"
      },
      "source": [
        "dados.shape"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(60557, 20)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BG0lhq7ZwGKO"
      },
      "source": [
        "Cada linha do dataset corresponde a uma reclamação feita por um consumidor."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iTggVPFAwSpl"
      },
      "source": [
        "## **Dicionário de variáveis**\n",
        "- Região\n",
        "- UF\n",
        "- Cidade\n",
        "- Sexo\n",
        "- Faixa Etária\n",
        "- Data Finalização\n",
        "- Tempo Resposta\n",
        "- Nome Fantasia\n",
        "- Segmento de Mercado\n",
        "- Área\n",
        "- Assunto\n",
        "- Grupo Problema\n",
        "- Problema\n",
        "- Como Comprou Contratou\n",
        "- Procurou Empresa\n",
        "- Respondida\n",
        "- Situação\n",
        "- Avaliação Reclamação\n",
        "- Nota do Consumidor\n",
        "- Total"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IdQhb8QEEXAN"
      },
      "source": [
        "## **Funções**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mJbUf4MayFqS"
      },
      "source": [
        "def anotacao(grafico):\n",
        "  for p in ax.patches:\n",
        "    ax.annotate(format(p.get_height(), '.0f'), (p.get_x() + p.get_width() / 2., p.get_height()), ha = 'center', va = 'center', xytext = (0, 10), \n",
        "                textcoords = 'offset points')"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IVityPWOgtQ9"
      },
      "source": [
        "def colore_max(data, color='yellow'):\n",
        "    attr = 'color: {}'.format(color)\n",
        "    if data.ndim == 1:  # Series from .apply(axis=0) or axis=1\n",
        "        is_max = data == data.max()\n",
        "        return [attr if v else '' for v in is_max]\n",
        "    else:  # from .apply(axis=None)\n",
        "        is_max = data == data.max().max()\n",
        "        return pd.DataFrame(np.where(is_max, attr, ''),\n",
        "                            index=data.index, columns=data.columns)"
      ],
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DoMu0zwKEcFw"
      },
      "source": [
        "## **Análise Exploratória dos Dados**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2sq6UDqfAAS1"
      },
      "source": [
        "### **Região**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SQkJMutE5ID9",
        "outputId": "12563799-d9f3-42b7-d0fd-458b07050dfb"
      },
      "source": [
        "#Calculando o número de reclamações por região\n",
        "dados.groupby(\"Região\")[\"Região\"].count()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Região\n",
              "CO     6027\n",
              "N      1940\n",
              "NE     8631\n",
              "S     12545\n",
              "SE    31414\n",
              "Name: Região, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "O6Pd0Sf15z-1",
        "outputId": "3bf8ed00-fc79-4af0-ed5f-c0f0d0490761"
      },
      "source": [
        "#Visualizando o número de reclamações por região\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "ax = sns.countplot(data=dados, x=\"Região\", order = dados[\"Região\"].value_counts().index)\n",
        "ax.set_xlabel(\"\")\n",
        "ax.set_ylabel(\"Número de reclamações\")\n",
        "ax.set_title(\"Número de reclamações por região - Janeiro/2019\", fontsize=16)\n",
        "ax.set_ylim(0, 35000)\n",
        "ax.set_xticklabels([\"Sudeste\", \"Sul\", \"Nordeste\", \"Centro-Oeste\", \"Norte\"])\n",
        "anotacao(ax)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1dhBHajeAH-M"
      },
      "source": [
        "### **Estado**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AQZR8cyBwUQr",
        "outputId": "02fe5bf6-e9ef-41e3-b626-198f69fe6fab"
      },
      "source": [
        "#Calculando o número de reclamações por estado\n",
        "dados.groupby(\"UF\")[\"UF\"].count()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "UF\n",
              "AC      207\n",
              "AL      319\n",
              "AM      507\n",
              "AP       72\n",
              "BA     2708\n",
              "CE     1466\n",
              "DF     2624\n",
              "ES     1314\n",
              "GO     1792\n",
              "MA      882\n",
              "MG     4763\n",
              "MS      749\n",
              "MT      862\n",
              "PA      594\n",
              "PB      731\n",
              "PE     1338\n",
              "PI      547\n",
              "PR     6460\n",
              "RJ     5480\n",
              "RN      383\n",
              "RO      288\n",
              "RR       78\n",
              "RS     4279\n",
              "SC     1806\n",
              "SE      257\n",
              "SP    19857\n",
              "TO      194\n",
              "Name: UF, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "QHWdBAwCxUkY",
        "outputId": "c16728aa-0d70-4352-8d1c-636468b252f8"
      },
      "source": [
        "#Visualizando o número de reclamações por estado\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "ax = sns.countplot(data=dados, x=\"UF\", order = dados.UF.value_counts().index)\n",
        "ax.set_xlabel(\"\")\n",
        "ax.set_ylabel(\"Número de reclamações\")\n",
        "ax.set_title(\"Número de reclamações por estado - Janeiro/2019\", fontsize=16)\n",
        "ax.set_ylim(0, 22500)\n",
        "anotacao(ax)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KCjHeXCxjjKd"
      },
      "source": [
        "### **Cidade**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rChbIuewjlEt",
        "outputId": "289e272a-7472-45b5-ab0e-62d32e1987bf"
      },
      "source": [
        "#Visualizando as 20 cidades com mais reclamações\n",
        "dados[\"Cidade\"].value_counts()[:20]"
      ],
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "São Paulo                8710\n",
              "Curitiba                 3085\n",
              "Rio de Janeiro           2892\n",
              "Brasília                 2624\n",
              "Salvador                 1288\n",
              "Belo Horizonte           1176\n",
              "Fortaleza                 934\n",
              "Goiânia                   829\n",
              "Sorocaba                  712\n",
              "Porto Alegre              675\n",
              "Juiz de Fora              661\n",
              "Itaqui                    642\n",
              "Guarulhos                 530\n",
              "São Bernardo do Campo     482\n",
              "Campinas                  468\n",
              "Manaus                    457\n",
              "Recife                    453\n",
              "João Pessoa               440\n",
              "Osasco                    425\n",
              "São Borja                 410\n",
              "Name: Cidade, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l7vAIqlyALkL"
      },
      "source": [
        "### **Sexo**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wpD_D5o1zghB",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f426c0ca-7aaa-45d4-f816-19132d4a0f67"
      },
      "source": [
        "#Calculando o número de reclamações por sexo\n",
        "dados.groupby(\"Sexo\")[\"Sexo\"].count()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Sexo\n",
              "F    25855\n",
              "M    34702\n",
              "Name: Sexo, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "kNCasrNSz8hQ",
        "outputId": "a7596b43-18bb-43b7-fec9-2984dfbebcf1"
      },
      "source": [
        "#Visualizando o número de reclamações por sexo\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "ax = sns.countplot(data=dados, x=\"Sexo\")\n",
        "ax.set_xlabel(\"\")\n",
        "ax.set_ylabel(\"Número de reclamações\")\n",
        "ax.set_title(\"Número de reclamações por sexo - Janeiro/2019\", fontsize=16)\n",
        "ax.set_xticklabels([\"Feminino\", \"Masculino\"])\n",
        "anotacao(ax)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BTaGxamKAODq"
      },
      "source": [
        "### **Faixa Etária**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wG_Nc_tN0nWR",
        "outputId": "eb01961a-8c2f-472f-dcf4-2bd1b27e4a30"
      },
      "source": [
        "#Calculando o número de reclamações por faixa etária\n",
        "dados.groupby(\"Faixa Etária\")[\"Faixa Etária\"].count()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Faixa Etária\n",
              "até 20 anos            1459\n",
              "entre 21 a 30 anos    18520\n",
              "entre 31 a 40 anos    20669\n",
              "entre 41 a 50 anos     9481\n",
              "entre 51 a 60 anos     5752\n",
              "entre 61 a 70 anos     3307\n",
              "mais de 70 anos        1369\n",
              "Name: Faixa Etária, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "o_Za3Uza1tDf",
        "outputId": "57df9189-d339-4e31-dd80-72f5996f7449"
      },
      "source": [
        "#Visualizando o número de reclamações por faixa etária\n",
        "plt.figure(figsize=(16,8))\n",
        "\n",
        "ax = sns.countplot(data=dados, x=\"Faixa Etária\", order=sorted(dados[\"Faixa Etária\"].unique()))\n",
        "ax.set_xlabel(\"\")\n",
        "ax.set_ylabel(\"Número de reclamações\")\n",
        "ax.set_title(\"Número de reclamações por faixa etária - Janeiro/2019\", fontsize=16)\n",
        "ax.set_ylim(0, 22500)\n",
        "anotacao(ax)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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G9WOYb6AEFnMy82+v3c0iuZNyHd+8gOy9N1N+VPg8ZYxhK1agtAK/2LB83ELWcUEGUhLy1I8p/QAl4Vh9d95fAkdGxKaZeXfjTqrXwZ+A3SJiYq0XQZSkdO8BzqpWbfWa1e97DiWJ1HqUxFTDWfA0RLtTEqDVfIrSAntv9ffrec0trFpgXB/MbkB5jXbZ66D64eRSSnf191bPz4+IuzKz9vpu9R420+r7otYVeqWG5bUuy/VZoTegBL0L26Oiptn1GkaTzOSNqnv56CIet3bsxns//nXs7wZKy/tjLeRIWKBW32cR8VZKF/LXdMeuhvLsC+yVmZ3NnXw1ZQjBbpSW6NoPFntQejks8lSA1ev28WqM9Vcor+1bF3V/knqGAbOkJVZmPh8Rx9F8fOz1VFPqRMQxlCBsAiVwWJwOoWR8vjEizqe0+o6gjLXrn5mHLWD70ymB4E1VPZ+hZBzegJJVtisnUL7U/TIiTqVkcJ3Ia7vkXkz54ntL9YXx7mrd9SmJccY2yQjbpcx8JiK+BpwdZeqY2vVemzKW8NbMvCQz/xERp1OSXg2mjAl9idLd82+ZeVmTfT8dEb+nJKqaSmkp25uuW3kXxQ2UL62TI2IS5ZofxSstsTWnU+ZlvTkiTqAEniMoQcwXM3N2td21lOD2HEqCt2Mp1+Tb1Xm1dM2q1/TqlOlyHqdM8XMQJelUK3P27ld1O70L+AglQJiYmU/Xnc84Fu01t7BuprQA/6h67a1JuS6PseBhYadSXqNvz8wXokwpdXe1rw9X44FbvYfNtPq+qHUDPyAiLqQEs/dQupq/tIjn1pk7Kffj7OrerEwZIz2d0lK/uNW34t4AfD0ivkHplv4BSg6BRXU6Jci8vfoMSMr5vJXSgr7AHwGaWOD7jNK6/PfMvK9+w4j4OuXz+gLKFGHvriuelpn/AMjMv1TJxb4TZb7s2rSD69KQlyIi3kHJAl+73xtGRO2aXVf7XK3Ghs+r9rUGJZv4+4APLuIPrZJ6kGOYJS3pJtEkwU6VJGlHSuvPTylT3pxFCUIWm8z8M2WM4QzKeNtfUloCN6YE0gva/nHKF6f7KdMgXU7psvexXMA8zJn5V8qULQMp4zxPqY59S8N6L1ICp3MpLb3XUYKFvShf0BunO2lJljmBP05pzflxtd+JlB9jp9St91VKQPZuypRKF1OS3jxG5z5NmUf5bMp4vyfoOuPxotT/Rkog+l5KMra9gc/R0OWyei29lzKe+DDK9T2DEgi+UK1zAyXYHEp5vX2fkn33fXWtoa1es/9H+RJ+OmU86zcprcKtBrM7U8Z9/4IyhdcJlLlwa3VY5NfcwsrM+ylBxjpVfSZQrmGX742I2JGSB+DgKnszmflUdT7bVvtp+R52UreW3hdVr4KJlLmE76D8ELFWFZB9ZmHPbQF1mkaZcqo/5b6cTJnqqrPuxYukSlgIr04kdhzwA0pW+CspXYY/sqjHqH6geQ/lun6dkuzrAsrrc5E+h1t8n42lZMlvVJsybW9K75z6f0c1rDue8n/LCZQA/Y3A9tXnfb0DKWOyaz/87Vb9/TNeyVkA5X4eRvlR4hzKVIDvzsw/IKnPa+voeD1DkyRJWrZULX8vZWazoQC9JiImUqZaW647s/5qyVclkLubumnzlgYRsSald8H768eAS9LrYZdsSZJaUE33szZlHPEYmo+dl/qsaijAFpQMzXPoYh7sJVGVfM3ek5IWqx4JmCNiBUoXlA9Run09DByVmb+oEmScSum2M4CSCfPg2tQREbEN8CugfnzdwZl5flW+PKWb5R6UcUXfy8yj6449mtKdaZPquPtn5u3dd7aSpKXU2yhdY9sp4yalJc3HKN+Z7gE+lJkLm0lbkpY5PdIlu5ps/muUcWiPUcbE/IySFGcoZazfzylJG46gJCNZLzM7qoD5J5nZbBoBqgQsH6SMLRpESTByYmZOqpI1PEgZ4/IdSvKKs4D1M7OrqVokSZIkScu4HmlhrqY7mVi36PqIeBDYMjMvpmRjBKDKpDgRWIvWslyOB/arfiWdXmWq3JuSrGEbyjQQp1ZZCC+OiIOATwDnt7DvFSjJfKZSMmFKkiRJkpYe/SkzHdzFq5MhAr00hrkaQ/M2SobORu+nTD4/tW7Z8Ih4gpJV8BfAEZk5p5qbcC1K4oqaKcBJ1fPRwL0NKfunVMtbsSVg921JkiRJWrptTZkN4VV6PGCuJn+/CLgsM6c0lK1FmeLiq3VB7t+ATavHdSiTyJ8B7EPpgg2lK3fNLGBw9XxQQ1mtfHiL1Z0KMHPms7S3m01ckiRJkpYm/fq1MWzYyvDqBtuX9WjAHBH9KPNOQpnzsL5sBGW+yfMzc1JteWY+QZl/E+CRiJhAyeq4DyXDI8CQuuerALOr53Oqsnr15QvyEkB7e4cBsyRJkiQtvZoOwe2x1PsR0UYZN7wWsEtmvlBXNowSLF+XmRMXsKsOoA2gStz1OKUFumYz4L7q+X3AxlWg3qxckiRJkqSmerKF+XuUccsfzsyXp4iKiCHAjcCdmfm1xo0iYlvKdFCPAW8ATgGurFtlMnBkRNwFrAwcApxcld0KzAMOjYgzKcm+NmjYXpIkSZKk1+ipeZjXAb5AyTo2NSJqRSdRMmFvCWwUEXvVbbZDNV/y5pQxz8OAGZRg94i69Y4FRgD/4JV5mCcBZOaLEfFxyjzMx1EC77GZ+VR3nKckSZIkaenRI/MwL8FGAY/MmDHHMcySJEmStJTp16+N4cMHAawLPPqa8p6ukCRJkiRJSwIDZkmSJEmSmjBgliRJkiSpCQNmSZIkSZKaMGCWJEmSJKkJA2ZJkiRJkpowYJYkSZIkqQkDZkmSJEmSmjBgliRJkiSpCQNmSZIkSZKaMGCWJEmSJKkJA2ZJkiRJkpowYJYkSZIkqQkDZkmSJEmSmjBgliRJkiSpiQG9XQFJUvd48sknOOGEY5g58ymgjY9/fBd23/3TPPPM0xx99OE88cRU1lhjTY477hSGDBkCwJ///EfOPPM05s+fz9ChQ/nud38IwOzZs/nmN4/n4Yf/QVtbG4cffjSjR2/CQw89yLe+dTLPPTeXNdZYi2OOOZ6VVx7Ui2ctSZK0+LR1dHT0dh36slHAIzNmzKG93eskackyffp0ZsyYTsRbmTv3Wfbe+7OcfPK3uP76qxk8eBU++9lx/PjHk5k9+xm+9KWDmD17Nvvvvzff+tZZrLHGGsyc+RTDhq0KwAknHMOmm27OTjuN5cUXX2TevHkMHjyYfff9HAcccDCbb74F11xzFVOnPs5+++3fy2cuSZLUmn792hg+fBDAusCjrynv6QpJknrGiBEjiHgrAAMHrsyoUaOYPv0/3H77beyww44A7LDDjtx++60A3HTTDbz//duyxhprALwcLM+ZM4e77/4LO+64MwDLLbccgwcPBuBf//onm232dgC23PJd3Hbbr3rs/CRJkrqbAbMkLQOmTn2cBx9MNtxwNDNnPsWIESMAGD58eNVlG/71r8eYPXs2Bx74efbee0+uv/6aatv/Y+jQoZx00rGMH/8ZTjnleJ577jkA1l13fW6//TYAfv3rm3nyySd74ewkSZK6hwGzJC3l5s6dyxFHTODggw99zfjitrY2oA2Al16aT+ZfOfXUMzjttO9y4YXn89hj/+Sll17iwQeTsWN3ZdKkS1hxxZW46KLJABx++NFceeXP2HvvPZk7dy7LLbdcD5+dJElS9zHplyQtxebPn8+RR05gu+22Z8yYDwClq/X06dMZMWIE06dPZ9iwYQCMHLk6q6wylJVWWomVVlqJTTfdnL///SE23XQzRo5cjY02Gg3Attt+8OWAeZ11RnH66WcD8Nhj/+R3v7uj509SkiSpm9jCLElLqY6ODk4++TjWWWddPvWpPV9e/r73jXm5u/X111/D1luPAWDrrcdwzz1TmD9/PvPmzeOBB+5j1KhRDB8+gtVWW53HHnsUgD/+8Q+MGrUewMvdudvb27nwwvPZeedP9uAZSpIkdS+zZHdtFGbJlrSEuvvuKRxwwL6sv/6baWsrv49+4QtfYsMNR3P00Yfz5JNPsPrqa3L88SczZMgqAFxyyY+47rqraWtrY6edxrL77p8B4KGHklNOOYH5819krbXW5vDDj2HIkCH89KeXcsUVPwNgzJht+eIXD6y6eUuSJPV9C8qSbcDctVEYMEuSJEnSUslppSRJkiRJWgQGzJIkSZIkNWHALEmSJElSEwbMkiRJkiQ1YcAsSZIkSVITA3q7ApK0tBiyygqssPzyvV0NNXj+hRd45unne7sakiRpCWTALEmLyQrLL8+4SQf3djXUYPL4MwADZkmStPDski1JkiRJUhMGzJIkSZIkNWHALEmSJElSEwbMkiRJkiQ1YcAsSZIkSVITBsySJEmSJDVhwCxJkiRJUhMGzJIkSZIkNTGgJw4SESsA5wAfAlYFHgaOysxfVOWjgfOATaqy/TPz9rrtDwQOB4YA1wH7ZeYzVdlQ4IfADsAzwImZeU7dtmOAs4H1gHuAfTLz/m49YUmSJEnSEq+nWpgHAP8CxgCrAIcBl0TEBhGxHHA1cCUwDDgZuCoihgFExIeBY4CPAWsDywFn1e37u9X+16rWOTYitq22HQ5cVe1zWHWMqyKiR34okCRJkiQtuXokcMzMZ4GJdYuuj4gHgS2BdYCVgFMzsx24OCIOAj4BnA+MAyZl5hSAiDgC+EtE7A+0AbsBm2fmbGBKRFwA7A38utrHg5l5cbXtqcDBlMD9lm49aUmSJEnSEq1XWlojYiTwNuB+YFvg3ipYrpkCjK6ej6Z0wwYgM/8aEQBvobSQt2XmAw3bble37d1127ZHxL3V8pYD5uHDB7W6qiSpDxo5cnBvV0GSJC2BejxgrrpDXwRclplTImIn4OmG1WYBw6vng5qUPw0MprQwP9Nk29o3o0HAzC7KWzJjxhza2zsWZhNJyyCDsr5r2rTZvV0FSZLUB/Xr19ZlA2mPBswR0Q/4cfXn56vHOZRkXvVWAWZ3UT6kKu+3CNvWl0uSJEmS1FSPTSsVEW2UMclrAbtk5gtV0X3AxlUwXbNZtbxWvmndft5KaVl+CHgQ6IiIt7W4bRslE/d9SJIkSZLUhZ5sYf4eZdzyhzNzbt3yW4F5wKERcSYlUdcGlIzWAJMpicAuBh4BTqB0554LEBGXA8dHxHhgXUrCrz2qba8ATo2IT1fPDwLmArd10zlKkiRJkpYSPdLCHBHrAF+gtP5OjYg51b9vZOaLwMeBXSnji48ExmbmUwCZeRNwPHADMBVoB75ct/sDgI6q7AZgYmb+utp2BjC22ues6hg7Z+b8bj5lSZIkSdISrq2jw2RWXRgFPGLSL0mtGDlyMOMmHdzb1VCDyePPMOmXJElqqi7p17rAo68p7+kKSZIkSZK0JDBgliRJkiSpCQNmSZIkSZKaMGCWJEmSJKkJA2ZJkiRJkpowYJYkSZIkqQkDZkmSJEmSmhjQ2xWQ1L1OOulY7rzzDoYNG8aPf/xTAB56KDn11JN54YUX6N+/P4ce+nU23HA0f/7zHzn88ENZc821ARgzZlvGj9+PJ598ghNOOIaZM58C2vj4x3dh990/DcAzzzzN0UcfzhNPTGWNNdbkuONOYciQIb11upIkSdJiYwuztJT76Ed34tvfPutVy84550zGj9+PyZMvYd99v8A555z5ctmmm27O5MmXMHnyJYwfvx8A/fsP4MAD/5uLLvoZP/zhJK644mc88sjDAFx00WS22OKd/OQnV7LFFu/koosm99i5SZIkSd3JgFlaym222dtf0+Lb1tbG3LnPAjBnzhxGjBjZ5T5GjBhBxFsBGDhwZUaNGsX06f8B4Pbbb2OHHXYEYIcdduT2229dzGcgSZIk9Q67ZEvLoIMOOpRDDjmQs88+g/b2dr7//QteLrvvvnvZa69PM2LESA444GDWW2/9V207derjPPhgsuGGowGYOfMpRowYAcDw4cOrbtuSJEnSks8WZmkZ9POfX85BBx3CFVdcy5e/fAgnn3w8ABFv5fLLr+bCCy9l11135xvf+Oqrtps7dy5HHDGBgw8+lJVXHvSa/ba1tQFtPXEKkiRJUrczYJaWQddffw1jxnwAgA984HLrV50AACAASURBVEP89a/3A7DyyoMYOHAgAFtt9T7mz5/PrFmzAJg/fz5HHjmB7bbb/uVtAYYNW5Xp06cDMH36dIYNG9aTpyJJkiR1GwNmaRk0YsRI/vKXPwHwpz/dxRve8EYAZsyYTkdHBwAPPHAf7e3trLLKKnR0dHDyycexzjrr8qlP7fmqfb3vfWO4/vprgBKIb731mB48E0mSJKn7OIZZWsodc8w3mDLlT8yaNYtddvko++zzeSZMOJIzzvgWL730EssvvzwTJhwBwK233sKVV/4v/fv3Z4UVVuDYY0+ira2Nu++ewo03Xsf667+ZceM+A8AXvvAlttrqfey5514cffThXHvtVay++pocf/zJvXm6kiRJ0mLTVmtNUlOjgEdmzJhDe7vXSVLXRo4czLhJB/d2NdRg8vgzmDZtdm9XQ5Ik9UH9+rUxfPgggHWBR19T3tMVkiRJkiRpSWDALEmSJElSEwbMkiRJkiQ1YcAsSZIkSVITBsySJEmSJDXhtFLSYjRsleUZsPwKvV0NNZj/wvPMfPqF3q6GJEmSljAGzNJiNGD5FfjT/+zb29VQgy0mnAcYMEuSJGnh2CVbkiRJkqQmDJglSZIkSWrCgFmSJEmSpCYMmCVJkiRJasKAWZIkSZKkJgyYJUmSJElqwoBZkiRJkqQmDJglSZIkSWrCgFmSJEmSpCYMmCVJkiRJasKAWZIkSZKkJgyYJUmSJElqwoBZkiRJkqQmDJglSZIkSWrCgFmSJEmSpCYG9NSBIuJAYDywMXBJZo6rlm8NXN+w+srArpn5vxExDjgfeK6ufGxm3lxtPxT4IbAD8AxwYmaeU3fcMcDZwHrAPcA+mXn/Yj9BSZIkSdJSpccCZuBx4HjgI8BKtYWZeTswqPZ3RGwDXA3cULftXZn57k72+13KeawFrA/cFBF/zcxfR8Rw4CrgAOBy4CvAVRHx1sycv7hOTJIkSZK09OmxLtmZeUVm/hyYsYBV9wIuz8xnF7TPiFgZ2A04MjNnZ+YU4AJg72qVTwAPZubFmfk8cCowEBizqOchSZIkSVo29GQL8wJVAfCuwE4NRZtExHTgKeBiSrfr+cAGQFtmPlC37hRgu+r5aODuWkFmtkfEvdXyW1qt1/Dhgxa8kqQ+beTIwb1dBfUi778kSVoUfSpgprQITwduq1v2G2Aj4J/V42VAO6V79yDKuOV6s4DaN6NBwMwuylsyY8Yc2ts7FmYTLaP8Ut53TZs2u9uP4f3vu3ri/kuSpCVPv35tXTaQ9rWAeS/gR5n5cnSamQ/Xld8bEccBh1MC5jnAkIZ9rALUvhktqFySJEmSpKb6zLRSEfFGYBvgRwtYtb6p90GgIyLeVrdsM+C+6vl9wKZ1x2gDNqkrlyRJkiSpqR4LmCNiQESsCPQH+kfEihGxXN0qnwXuzMx/NGy3Q0SsXj1/K3AUcCVAlRjscuD4iBgcEZtQEn5dUG1+RdksPh0RKwBfBeby6i7fkiRJkiS9Rk+2MB9JmUv5MGDP6vm5deWfAy5sst0HgXsi4lngOkoQfGJd+QGUVueplKmoJmbmrwEycwYwtjr2LEpCsZ2dUkqSJEmStCA9NoY5MycCE7sof2sny79KaRnubLtZlKmlOiu/lZIsTJIkSZKklvWZMcySJEmSJPUlBsySJEmSJDVhwCxJkiRJUhMGzJIkSZIkNWHALEmSJElSEwbMkiRJkiQ1YcAsSZIkSVITBsySJEmSJDVhwCxJkiRJUhMGzJIkSZIkNWHALEmSJElSEwbMkiRJkiQ1YcAsSZIkSVITBsySJEmSJDVhwCxJkiRJUhMGzJIkSZIkNWHALEmSJElSEwbMkiRJkiQ1YcAsSZIkSVITBsySJEmSJDVhwCxJkiRJUhMGzJIkSZIkNWHALEmSJElSEwbMkiRJkiQ1YcAsSZIkSVITBsySJEmSJDVhwCxJkiRJUhMGzJIkSZIkNWHALEmSJElSEwbMkiRJkiQ1YcAsSZIkSVITBsySJEmSJDVhwCxJkiRJUhMGzJIkSZIkNWHALEmSJElSEwNaWSki3gv8OzP/GREjgFOBl4AJmflUd1ZQkiRJkqTe0GoL8/eA5avnJwPrAGsD3+2OSkmSJEmS1NtaamEG3pSZD1XPdwI2B54FHup8E0mSJEmSllytBswvRcRywFuAWZk5NSLagIGtHigiDgTGAxsDl2TmuLqyDmAu0FEturyh/EDgcGAIcB2wX2Y+U5UNBX4I7AA8A5yYmefUbTsGOBtYD7gH2Ccz72+13pIkSZKkZVOrXbJ/T+l+fTJwbbVsXWDGQhzrceB44PxOyrfIzEHVv3G1hRHxYeAY4GOUbuDLAWfVbfddSuC/VrXOsRGxbbXtcOCqqt7DgCuBqyKi1R8KJEmSJEnLqFYD5i8CK1MC5BOqZVsCl7R6oMy8IjN/zsIF2QDjgEmZOaVqVT4C2CMiBkbEysBuwJGZOTszpwAXAHtX234CeDAzL87M5ynJygYCYxayDpIkSZKkZUxLLa2Z+S9gz4ZllwGXLca6/Coi+gG/Aw7NzIer5aMp3bBrx/1rREDpHt4PaMvMB+r2MwXYrm7bu+u2bY+Ie6vlt7RaseHDBy382UjqU0aOHNzbVVAv8v5LkqRF0XLX5Ih4D6W1d83M3Cki3g4MzMw7FkM9xlC6fQ+ktGBfGxGbZOaLwCDg6Yb1nwYGA22Uccv1ZlVlVNvO7KK8JTNmzKG9vWPBK2qZ55fyvmvatNndfgzvf9/VE/dfkiQtefr1a+uygbSlLtkRsQellXc+r3Rn7gcc93orCJCZv8nMFzJzFnAw8CZKKzDAHEqyr3pDgNmdlK1SlXW2bX25JEmSJElNtTqG+Ujgo5n5JeClalmta3N3qG/OvQ/YtPZHRLyV0rL8EPAg0BERb6tbf7Nqm2bbtgGb1JVLkiRJktRUq12y35iZd1bPa8HsCwuxPVVm6gFAf6B/RKxICb43oGS+vhdYidIl+3GgNvXTZODiiLgYeKQqvywz51b7vRw4PiLGUzJ37w3sUW17BXBqRHy6en4QZfqq21qttyRJkiRp2dRqC/OjEbFZw7K3Aw83W7kTRwLPAYdREog9B5wLrE5JHvZMtb9RwMcy8wWAzLyJMh3VDcBUoB34ct1+D6AE8VOrdSZm5q+rbWcAY6tjzwJ2BXbOzPkLUW9JkiRJ0jKo1Rbi04ArIuJ4YEBEfIoyN3LLY5gzcyIwsZPiWMC2Z/HquZfry2ZRppbqbNtbgY1aqaMkSZIkSTUttTBn5o8owfFXKEH2ScD3MvPSbqybJEmSJEm9puUxyJk5mTKeWJIkSZKkpd7CJO1aGfgYZcqnfwLXZeaz3VUxSZIkSZJ6U6ddsiNiTJXZmmrapgTOAD5ZPWZEbNgjtZQkSZIkqYd1NYZ5J+B/q+ffAX4MrJ2ZWwFvAC6slkuSJEmStNTpKmD+NVCbfmkL4JjMbAeoHo+nTC0lSZIkSdJSp6sxzOfxSkA8B1gN+Hdd+UjAMcySJEmSpKVSVwHzD4ALgB0oXbN/HhFHAI8A61JamC/v9hpKkiRJktQLOg2YM3Ni3Z9HAKcBVwIrAvMoU0wd2Y11kyRJkiSp17Q0rVRmzgO+FBEHACOA6ZnZ0a01kyRJkiSpF7UUMEfEW4DZmfkEMK1atgYwKDP/3o31kyRJkiSpV3SVJbvexZQkX/VGApdExHIRsXlEDFy8VZMkSZIkqfe01MIMvCUz721Ydh/wDsr0Ux3ACsA7F2PdJEmSJEnqNa22MD8bEUMblg0FngbeD2wDjF6M9ZIkSZIkqVe1GjD/BvhmRPQHqB5PAn6Zme3ASsAXuqeKkiRJkiT1vFa7ZH8d+BXwfxFRm4f5GeCDAJk5B/hxt9RQkiRJkqRe0Oq0Uv+KiE2AHYF1gEeBa6rppiRJkiRJWuq02sJMZj4H/Kwb6yJJkiRJUp/RcsAcEUFJ7rUa0FZbnpnHLf5qSZIkSZLUu1oKmCNiN8pczA8AG1aPGwF3AAbMkiRJkqSlTqtZso8C9snMzYBnq8eDKAGzJEmSJElLnVYD5lGUFmZ4pTv2ecDei7tCkiRJkiT1Ba0GzLOBgdXzaRGxbvX3kG6plSRJkiRJvazVgPlOYJfq+TXA1ZR5me2SLUmSJElaKrWaJXtPXumK/XVgGqV1+dvdUSlJkiRJknpbSwFzZj5f9/wF4KRuq5EkSZIkSX3AwszDvDXwDmBw/XLnYZYkSZIkLY1anYf5ZOAQ4D5gbl1RB87DLEmSJElaCrXawrwf8K7MnNKdlZEkSZIkqa9oNUv2s5TWZUmSJEmSlgmtBszfAo6OiLYFrilJkiRJ0lKg1S7ZPwduBv47IqbVF2Tmeou9VpIkSZIk9bJWA+bLgH8D3+HVSb8kSZIkSVoqtRowbwKMyMx53VkZSZIkSZL6ilbHMN8PrNqdFZEkSZIkqS9ptYX5IuCKiDgNeKK+IDN/s9hrJUmSJElSL2s1YD6jevxJw/IOoP/iq44kSZIkSX1DSwFzZrbadVuSJEmSpKVCqy3Mr1tEHAiMBzYGLsnMcdXyDYBTgfdU9fkjcHBmPlCVbwP8ildn5z44M8+vypcHzgL2AF4EvpeZR9cddzRwHiVx2cPA/pl5e7edqCRJkiRpqdBywBwRAWwDrAa01ZZn5nEt7uJx4HjgI8BKdcuHAr8A9gaeBo4Aro2I9TKzo1rnP5m5Rif7PZoSDL8ZGATcHBGPZOakiFgOuBr4PjAG2BW4KiLWz8yZLdZbkiRJkrQMailgjojdgIuBB4ANq8eNgDuAlgLmzLyi2tc7gDfULf8D8Ie6Y50OTATWAv6vhV2PB/bLzOnA9Ij4NiX4nkQJ8FcCTs3MduDiiDgI+ARwfiv1liRJkiQtm1odm3wUsE9mbgY8Wz0eRAmYF7f3A08BU+uWDY+IJyLikYg4IyIGAUTEMEpgfXfdulOA0dXz0cC9VbDcrFySJEmSpKZa7ZI9itLCDK90xz4PeJQSTC8WEbEW8D3gq3VB7t+ATavHdYALKVm796F0wYbSlbtmFjC4ej6ooaxWPnxh6jV8+KAFrySpTxs5cvCCV9JSy/svSZIWRasB82xgIDAHmBYR61JagYcsropExAjgJuD8zJxUW56ZT/DK3M+PRMQE4AZKwDynWj6k7vkqVX2pljXWsb68JTNmzKG9vWPBK2qZ55fyvmvatIV62y8S73/f1RP3X5IkLXn69WvrsoG01S7ZdwK7VM+voSTS+hWLqUt21bX6JuC6zJy4gNU7qFq5q8Rdj1NaoGs2A+6rnt8HbBwR/ToplyRJkiSpqVZbmPfkla7YXwemUVpuv93qgSJiQHW8/kD/iFgReImSlOtG4M7M/FqT7balTAf1GCVZ2CnAlXWrTAaOjIi7gJWBQ4CTq7JbgXnAoRFxJiXZ1wYN20uSJEmS9BotBcyZ+Xzd8xeAkxbhWEcCx9T9vSdlPPKvgS2BjSJir7ryHar5kjcHLgKGATMowe4RdesdC4wA/sEr8zBPqur6YkR8nDLe+jhK4D02M59ahPpLkiRJkpYhnQbMEfG5VnaQmT9qcb2JlOmimrmwi+1OA07rovwF4AvVv2bl9wLvaqWOkiRJkiTVdNXCfGwL23cALQXMkiRJkiQtSToNmDNz3Z6siCRJkiRJfUmrWbIlSZIkSVqmtBQwR8QNEfHBhmUfjIjru6dakiRJkiT1rlZbmN8B3Naw7DfVckmSJEmSljoL0yW7f5Nt7dItSZIkSVoqtRrw3gN8tmHZnsB9i7c6kiRJkiT1DV1NK1XvKODmiPgokMAGwA7Ah7urYpIkSZIk9aaWWpgz87fAlsDjwMbAVGDLarkkSZIkSUudVluYycz7gAO7sS6SJEmSJPUZLQfMEfEeYBywZmbuFBFvBwZm5h3dVTlJkiRJknpLq/Mw7wFcC8wHxtRte1w31UuSJEmSpF7VapbsI4GPZeaXgJeqZfcCo7ulVpIkSZIk9bJWA+Y3Zuad1fOO6vEFFqJLtyRJkiRJS5JWA+ZHI2KzhmVvBx5ezPWRJEmSJKlPaDVgPg24IiLGAwMi4lPARcC3u61mkiRJkiT1olbnYf4RJcHXVyjdsE8EvpeZl3Zj3SRJkiRJ6jULHIMcEQOAk4CjM3Nyt9dIkiRJkqQ+YIEtzJk5H9g3M+f1QH0kSZIkSeoTWh3DfEtEfKhbayJJkiRJUh/S6rRQj1OSfl0JPAK01woy87juqJgkSZIkSb2p1YB5E+BPwJuqfzUdlGRgkiRJkiQtVVoKmDNz2+6uiCRJkiRJfUmrY5glSZIkSVqmGDBLkiRJktSEAbMkSZIkSU0YMEuSJEmS1IQBsyRJkiRJTbSUJTsi+gFfB/YGVsvMVSLiI8CbMvPc7qygJEmSJEm9odUW5onAbsARlLmXAf4O7N8NdZIkSZIkqde1GjB/Ftg5M38KtFfLHgFGdUelJEmSJEnqba0GzIOBfzcs6w/MX7zVkSRJkiSpb2g1YL4X2KVh2U7AXxZvdSRJkiRJ6htaSvoFHAbcFBE7AytGxPeB3YGPdFvNJEmSJEnqRS21MGfm/wO2BGYBtwLLA9tl5l3dVzVJkiRJknpPqy3MZGYCB3djXSRJkiRJ6jM6DZgj4v2t7CAzf7P4qiNJkiRJUt/QVQvzrQ1/dwBtDX9DyZYtSZIkSdJSpdMxzJnZr/YP+AxwNbAhsFL1eFW1XJIk9WE//emlfPazu7Pnnrvz059e8qqySy+9iPe97x3MmjULgDlz5jBhwn+z116fZs89d+faa3/x8rqHHPJltt9+GyZM+EqP1l+SpN7S6hjmE4AtMvPp6u+/RcQ+wB+By1rZQUQcCIwHNgYuycxxdWWjgfOATYCHgf0z8/aGbQ8HhgDXAftl5jNV2VDgh8AOwDPAiZl5Tt22Y4CzgfWAe4B9MvP+Fs9bkqQl2sMP/52rr76Sc8/9EQMGDODQQw/iPe/Zmje84Y08+eQT3HXX71l99TVeXv+KK37KqFHr8j//czozZ87kM5/5JNtttwPLLbccn/nMZ5k3bx6/+MUVvXhGkiT1nFbnYR7OK12wazqq5a16HDgeOL9+YUQsR2m9vhIYBpwMXBURw6ryDwPHAB8D1gaWA86q28V3KYH/WtU6x0bEttW2wykt4SdX+76y2nfLyc4kSVqSPfroo2y44WhWXHFFBgwYwOabv53bbvsVAGeddRr7738QbW2vjLhqa2tj7ty5dHR08NxzcxkyZAj9+5fRV+94xzsZOHBgr5yHJEm9odWA+dfAxRGxQUQsHxEbABcCv2r1QJl5RWb+HJjRULQNpZv3qZn5fGZeDDwEfKIqHwdMyswpVavyEcAeETEwIlYGdgOOzMzZmTkFuADYu9r2E8CDmXlxZj4PnAoMBMa0Wm9JkpZk6623PnffPYWnn57FvHnz+N3vfst//vMkt99+KyNGrMZb3rLBq9b/5Cd355//fISxY7dnr70+xcEHf5V+/Vr9uiBJ0tKl1ZbWLwAXA3/jlZbmW4A9F0MdRgP3ZmZ73bIp1fJa+XW1gsz8a0QAvIUS8Ldl5gMN225Xt+3dddu2R8S91fJbWq3g8OGDWj4ZSX3TyJGDe7sK6kXL8v0fOXITvvjFzzNhwsGstNJKbLzxRrS3t3PppT/iggsuYPDgwfTv34/hw1dm1VUHc8MNv2WTTUZz6aUX89hjjzF+/Hg++MGtGTSo/F84dOhAll9+wDJ9TSVJy46WAubMnAZsFxFrAW8A/p2Zjy+mOgwCnm5YNotXuns3K38aGEzJ2v1Mk21r/4sPAmZ2Ud6SGTPm0N7e2CNdei2/QPZd06bN7vZjeP/7rp64/33ZNttszzbbbA/AD35wNsOGrcovf3kTO+64EwDTpv2HnXcey7nnXshPfvJT9txzHNOnz2HgwFVZffU1+dOf7mXDDcvv2LNmzeWFF+Yv89dUkrR06NevrcsG0oUay1sFyYsrUK6ZQ0nmVW8VYHYX5UOq8n6LsG19uSRJS72ZM59i2LBVeeKJJ7jttl/xgx9MZvfdP/1y+a677sR55/2YoUOHsvrqa/DHP/6BTTfdnKeemsFjj/2TtdZ6Qy/WXpKk3tMXkl/dB0yIiH513bI3A86tK98UuAQgIt5KaVl+qHrsiIi3ZeZf67a9r27bfWsHiog2SibuU7vvdCRJ6luOOGICzzzzNP37D+CQQ77O4MGd94YYN25fTjxxIp/73B50dHSw//5fZujQoQB86Uv78thjjzJ37nPssstHOeywo3jXu7bqqdOQJKnH9VjAXGWmHgD0B/pHxIrAS8CtwDzg0Ig4k5KoawNKRmuAyZSEYxcDj1CmuLosM+dW+70cOD4ixgPrUhJ+7VFtewVwakR8unp+EDAXuK1bT1aSpD7knHPO67L88suvfvn5iBEjOf30sxdpP5IkLW16Mu3lkcBzwGGUZGHPAedm5ovAx4FdKeOLjwTGZuZTAJl5E2U6qhuAqUA78OW6/R5ASUQ2tVpnYmb+utp2BjC22ues6hg7Z+b8bj1TSZIkSdISr8damDNzIjCxk7J7gXd1se1ZvHru5fqyWZSppTrb9lZgo9ZrKkmSJElSiwFzNfb3YODzwJuAxyhjjL+TmaaPliRJkiQtdVptYZ4AfAn4H+DvwJuBrwErAKd0T9UkSZIkSeo9rQbM+wA7Vl2nAW6MiNsoibkMmCVJkiRJS51WA+aRwAMNy/4GjFi81ZEkackzdPDyLLfiCr1dDTV4cd7zzJr9Qm9XQ5K0BGs1YH6AMl3TuXXLxgF/bbq2JEnLkOVWXIHrPje+t6uhBh/90SQwYJYkvQ6tBsxfp3TD3gd4mDLf8cbA9t1VMUmSJEmSelNL8zBn5h3A2+D/t3fn8XaN9+LHPyeJRCIjQgkSiq9ebg3VarXmoVfR6qWGoELaqlId0Ba3NQWt3uqgqKEERfkpbbmo0tJSVdrSKv1SisQYEZEgiSTn98ezTuyc7JOcE2fYTj7v1yuvnL2etdd61n7W9F3PsPg5MA34BbBhNV2SJEmSpF5niTXMEbEc8CSwTmY6wJckSZIkaZmwxBrmzHwDeANo6vrsSJIkSZLUGNrVJBs4E/h2VdssSZIkSVKv195Bv74IrAF8KiKeA+a3JGTmOl2RMUmSJEmSelJ7A+YTuzITkiRJkiQ1mnYFzJl5SVdnRJIkSZKkRtLeGmYiYm1gP2D1zDwiItYFlsvMh7ssd5IkSZIk9ZB2DfoVEdsDfwM+BBxUTV4N+N8uypckSZIkST2qvaNkfws4IDM/Asytpt0HbNYluZIkSZIkqYe1N2BeLzN/Uf3dDJCZrwPLd0muJEmSJEnqYe0NmJ+JiHfWToiIDYDJnZ8lSZIkSZJ6XnsD5h8DV0XEdkCfiHg/cAFwfpflTJIkSZKkHtTeUbK/CwwBrgOGArcBPwJ+2EX5kiRJkiSpR7X3PczzgROBEyNiFeDlzJzTlRmTJEmSJKkntfs9zC0y84WuyIgkSZIkSY2kXQFzRLyL0vx6c2BwbVpm9u2CfEmSJEmS1KPaW8N8GfAIcADwWtdlR5IkSZKkxtDegHl9YIvMnNeVmZEkSZIkqVG097VS9wDrdmVGJEmSJElqJO2tYT4EuCgibgWerU3IzEs7PVeSJEmSJPWw9gbM+wDbA+9m4T7MzYABsyRJkiSp12lvwPw1YNfMvLkrMyNJkiRJUqNobx/mecAtXZkRSZIkSZIaSXsD5guB8V2ZEUmSJEmSGkl7m2R/EDg6Ir7MooN+bd/puZIkSZIkqYe1N2D+bfVPkiRJkqRlQrsC5sw8qaszIkmSJElSI2lvH2ZJkiRJkpYp7aphjoj5lHcuLyIz+3ZqjiRJkiRJagBtBswRcTHw6cycC2zXKnkUcBRwQRfmTZIkSZKkHrO4GubXgd9GxMcz847WiRFxD3AJ8KOuypwkSZIkST2lzYA5Mz8XER8B9gTOqzPLE8C7OyMTETGz1aSBwDmZ+fmIGAP8G3i1Jv07mXlCzfcnAJ+lbM+VwJGZ+UaVtibwY8qrsZ4DjsnMazsj35IkSZKk3muxfZgz80aAiFirVdIKwKcpQfNblpmDW/6OiMGUwPb/tZpt5cyc1fq7EfEpYF9gc2AmcD3wP0BLQH0l8FfgY5Sg+dqIeDAzH+mMvEuSJEmSeqf2vof5CRYe9KsJeBz4ZGdniFKj/QLw+3bOfzBwZmY+ARARJwPnAydExHrA+4DdMvN14NaIuAk4EPh6Z2dckiRJktR7tDdgXrvV5xmZ+VJnZ6ZyEHBpZrYelfuxiGgGbqM0q36hmr4R8EDNfPcDa0TEsCrtycx8uVX6+zqSoZVWGrzkmSQ1tJEjh/R0FtSDLP9ll2UvSXor2hUwZ+aTXZ0RgIgYDWwDjK+Z/CLwXkqguxJwNqWZ9Q5V+mBges38LcHxkDppLekdunpOnTqT+fPrvlVLWog3Zo1rypQZXb4Oy79xdXX5W/aNqzuOfUnS21efPk2LrSBdbMAcEd9Y0goy8+SlyFdbDgTuzMx/1yx/JnBf9fH5iDgCeDYiRmTmNEq/5aE1yxhW/T+jTlpLuldPSZIkSdJiLamGufX7l2ttBKwIdGbA/Engm0uYp6Wqt6n6/0FgY+AP1edNgMmZOT0iHgTGRMSwzJxek/5gJ+ZZkiRJktQLLWmU7EUC5uo1T98CBgGndVZGImJLYBStRseOiC0ozagfBUYAPwDuqOlDPRE4JiJupLx66uvARVX+H42Ie4GTI+JrwAeAXYAl1pxLkiRJkpZt7R30q+V1T8cDRwLXARtk5qROzMtBwLWZ2bq59DqUwHwV4BXg15TXSLW4EBgD/BlYjtK/eUJN+r6UAHoq5XVVh/hKKUmSJEnSkiwxYI6IJuAzlKbXjwHbZ+Y9nZ2RzDy0jelXUoLgtr7XTAnkj28jfRKwU2fkUZIkSZK07FjSoF87A/9LGVX6yMy8qltyJUmSJElSD1tS/ovIAAAAIABJREFUDfPNwBRKk+aoN2p2J4+SLUmSJElSQ1hSwPw7yqjU728jvZnOHSVbkiRJkqSGsKRRsrftpnxIkiRJktRQ+vR0BiRJkiRJakQGzJIkSZIk1WHALEmSJElSHQbMkiRJkiTVYcAsSZIkSVIdBsySJEmSJNVhwCxJkiRJUh0GzJIkSZIk1WHALEmSJElSHf16OgOSJEnqOnvttTuDBg2iT5++9O3blx//+DK+8Y1jeeqpJwGYOXMGgwcPYeLEK3j22WfYf/9PsNZaowHYcMONOOaY45g1axZf//pXefrpyfTp05cPfnArDjvs8z25WZLULQyYJUmSerkf/OA8hg8fvuDzySefvuDvs876LoMHD17wedSoUUyceMUiy9hvvwPZbLPNeeONN/jCFw7j7rvv4gMf+GDXZlySephNsiVJkpZRzc3N/Pa3t7Ljjh9e7HzLL788m222OQDLLbcc66+/AVOmvNAdWZSkHmXALEmS1Is1NTXx5S8fziGHHMAvfnHtQmkPPPBXRoxYkTXXXGvBtGeffYaDDx7LEUd8hgce+Osiy5sxYwZ33fV73vOe93Z53iWpp9kkW5IkqRc755wLGTlyFaZNe4kvfvFwRo8ewyabbAbArbf+aqHa5ZVWWpmf/ewGhg0bzj//+TDHHXc0l112FSusUJpsz507lxNPPJ5PfGIfRo1ao0e2R5K6kzXMkiRJvdjIkasAMGLEimy99bY89NA/gBL83nHHb9lhh50WzNu/f3+GDSt9nTfY4F2svvooJk16akH6GWecypprrsnee4/txi2QpJ5jwCxJktRLvf7667z22qsL/r733ntYZ513AnDffX9i9OgxrLLKqgvmnzZtGvPmzQPg6acnM3nyJFZffRQA559/Dq++OpMjjzyqm7dCknqOTbIlSZJ6qZdemspxxx0DwLx589hppw/z/vdvCcBtt93CjjvuvND8DzzwFy688Dz69etHnz5NHH30sQwdOowXXnieSy+9iNGjx3DIIQcAsOeee7P77nt07wZJUjczYJYkSeqlRo1ag0suubJu2vHHn7jItG233YFtt91hkemrrLIqd955X2dnT5Iank2yJUmSJEmqw4BZkiRJkqQ6DJglSZIkSarDgFmSJEmSpDoMmCVJkiRJqsNRsiVJkt6CYUMH0n+At1SNZs7suUx/5fWezoaktznP7pIkSW9B/wH9OO34a3o6G2rluFP36uksSOoFbJItSZIkSVIdBsySJEmSJNVhwCxJkiRJUh0GzJIkSZIk1WHALEmSJElSHQbMkiRJkiTVYcAsSZIkSVIdBsySJEmSJNVhwCxJkiRJUh39ejoDLSLiduD9wNxq0vOZ+c4qbRvgbGAd4G/A+Mz8R813JwCfpWzPlcCRmflGlbYm8GPgg8BzwDGZeW13bJMkSZIk6e2r0WqYv5iZg6t/LcHySsAvgNOBEcB1wC8iol+V/ilgX2BzYF1gE+B/apZ5JZDAysChwMSIWL+btkeSJEmS9DbVaAFzPf8NPJKZl2fmbODbwCBgmyr9YODMzHwiM18ETgYOAYiI9YD3AV/PzNcz81bgJuDA7t4ISZIkSdLbS6MFzBMiYmpE/CEitq+mbQQ80DJDZs4H/l5NXyQduB9YIyKGVWlPZubLrdI3QpIkSZKkxWiYPszAV4GHgDmUJtbXR8QmwGBgWqt5XwaGVH8PBqa3SqNKb53W+rvtstJKgzsyu6QGNHJkhw579TKW/7LLsl+2Wf6S3qqGCZgz856aj5dExH7AbsBMYGir2YcBM6q/W6cPq/6f0Y7vtsvUqTOZP7+5I1/RMsoLc+OaMqVDh/1SsfwbV1eXv2XfuDz2l23dUf6S3t769GlabAVpozXJrtUSoT4IbNwyMSKagHdX0xdJpwz6NTkzp1dpY6rm2bXpDyJJkiRJ0mI0RA1zRAwHtgDuoLxWah9ga+BLwBTg21WN87XAkcBr1bwAE4FjIuJG4FXg68BFAJn5aETcC5wcEV8DPgDsAnyje7ZMkiRJkvR21RABM7AcMAHYAJgH/BPYIzP/CRARe1Dew3wR5T3MH8vMlvc1XwiMAf5cLefKalkt9q2+N5XyHuZDMvORLt4eSZIkSdLbXEMEzJk5BXjvYtJvBzZsI60ZOL76Vy99ErDTW8+lJEmSJGlZ0sh9mCVJkiRJ6jEGzJIkSZIk1WHALEmSJElSHQbMkiRJkiTVYcAsSZIkSVIdBsySJEmSJNVhwCxJkiRJUh0GzJIkSZIk1WHALEmSJElSHQbMkiRJkiTVYcAsSZIkSVIdBsySJEmSJNXRr6czIEmSJKnzzZ49myOO+DRz5rzBvHnz2G67HRg//lBOP/1k/vnPh4Fm1lxzLY477kQGDRrEnDlzmDDhBDIfZujQYZx88umsttrq3HLLTVxxxWULlvvYY49y0UU/Yb31ouc2TuomBsySJElSL9S/f3++//0fMWjQIObOncthh41niy225Mgjv8wKKwwG4KyzzuRnP7uaAw8cxw03/IIhQ4Zw1VU/59Zbf8W5557FySefzs4778LOO+8CwGOP/Ytjjz3KYFnLDJtkS5IkSb1QU1MTgwYNAmDu3LnMmzeXpqamBcFyc3Mzs2fPpqmpzH/nnXewyy67AbDttjvw5z//iebm5oWWeeutv2KHHXbuvo2QepgBsyRJktRLzZs3j3HjxrL77jux+eZbsOGGGwFw2mkn8dGPfpgnn3yCvfbaF4ApU15glVVWBaBfv36ssMJgpk+fvtDybrvtFnba6cPduxFSDzJgliRJknqpvn37MnHiFVx77Y08/PA/ePzxfwFw3HEn8POf38To0Wtz2223tGtZ//jHgyy//PKss866XZllqaEYMEuSJEm93JAhQ9hss8354x/vXjCtb9++7Ljjztxxx28AGDlyFV544XmgNOF+9dWZDBs2bMH8t932K3bc0dplLVsMmCVJkqReaNq0acyYMQOA2bNnce+997DWWqOZPHkSUPow33nn71hrrTEAfPCDW3PTTTcAcPvtt7HZZu+lqergPH/+fH7zm1vtv6xljqNkS5IkSb3Q1KkvcuqpJzB//nzmz5/P9tvvxJZbfojDD/8Ur776Ks3Nzay77vocffTXANhtt49xyinfYJ999mDo0KGceOJpC5Z1//1/YZVVVmXUqDV6anOkHmHALEmSJPVC6667HhdffMUi088996K68w8YMIAJE75VN22zzTbn/PMndmb2pLcFm2RLkiRJklSHAbMkSZIkSXUYMEuSJEmSVIcBsyRJkiRJdRgwS5IkSZJUh6NkS5IkSUtp2ND+9B8woKezoVbmzJ7N9Ffm9HQ21AsYMEuSJElLqf+AAZx57KE9nQ218uXTzwMMmPXW2SRbkiRJkqQ6DJglSZIkSarDgFmSJEmSpDoMmCVJkiRJqsOAWZIkSZKkOgyYJUmSJEmqw4BZkiRJkqQ6DJglSZIkSarDgFmSJEmSpDoMmCVJkiRJqsOAWZIkSZKkOvr1dAYAImIAcA6wI7Ai8Djw9cz8ZZXeDLwGNFdfuSYzx9V8/wjgWGAocCPw6cx8pUobDpwP7AK8Apyamed0w2ZJkiRJkt7GGqWGuR8wCdgGGAZ8DbgiItavmec9mTm4+jeuZWJE7AScAOwKjAKWA86q+d4Pq+WvXs1zUkRs14XbIkmSJEnqBRqihjkzXwVOrJl0U0Q8ArwXeGQJXx8HXJyZ9wNExPHAXyPiMKAJ+ASwaWbOAO6PiIuAQ4DfdupGSJIkSZJ6lYYImFuLiJHAu4B/1Ez+TUT0Ae4GjsrMx6vpG1GaYQOQmQ9HBMB6lBr0psx8qGY59wM7dyQ/K600uMPbIKmxjBw5pKezoB5k+S+7LPtlm+W/bLP81RkaLmCOiH7AT4CrWmqNKU21/wgMAiYA/xcR787MN4DBwPRWi5kODKHUML/SKu3lKq3dpk6dyfz5zUueUcs8T8yNa8qUGV2+Dsu/cXV1+Vv2jctjf9lm+S/buqP89fbXp0/TYitIGypgrmqQL6s+fqZlemb+rvpzTkR8gRIEbwT8FZhJGeyr1lBgBqWGuXXasCpNkiRJkqQ2NcqgX0REE/BjyuBcH8/MOYuZvba690Fg45rlbECpWX6U0v+5OSLeVTP/JtV3JEmSJElqUyPVMJ9L6be8U2a+1jIxIjakjHz9d2AgpUn2M7zZv3kicHlEXA78u0q/qmUZEXENcEpEHAysTRnwa5/u2CBJkiRJ0ttXQwTMETEaOBSYDTxbDdoFcBql7/K5wBrAq8AfgF1baqAz89cRcQpwM2++h/nzNYs/HLgAeJbSlPvEzHSEbEmSJEnSYjVEwJyZT1KaUbclFpNGZp7Fwu9erk17mfJqKQGnnXYSf/jDnYwYMYLLLrt6obQrr/wJZ5/9PW644VaGDx/OX/5yH8ceexSrrTYKgG222Y6DD/40AFdffSXXX38dzc3w0Y/uwd57j+32bZEkSZKkrtQQAbO6z0c+sjt77rkPEyZ8Y6Hpzz//HPfe+0dWXfUdC03feONNOeOM7y007fHH/8X111/HBRdcSr9+/TjqqCPZcsutWGONNbs8/5IkSZLUXRpm0C91j0022YyhQ1sPHA5nnXUmhx12JE1Ni6voL5544gn+4z82Yvnll6dfv35suulm3HHHb7oiu5IkSZKWwmmnncRuu+3EgQfuvWDaBRecy0EH7cu4cWP50pcO58UXpyxI+8tf7mPcuLEccMDeHHHEghcWcfXVV3LggXtzwAF7c/XVV3TrNjQCA2bx+9/fzsorr8J6662/SNqDD/6dgw7aj6OOOpLHH38MgHXWeScPPHA/06e/zKxZs7j77rt44YXnuzvbkiRJktrwkY/szne+s3Cv1bFjD+SSS37KxIlXsOWWW3HxxRcAMGPGDM4881t885tn8pOfXM0pp3wTWLhl6cSJV3DXXXcyefKkbt+WnmST7GXcrFmzuPTSi/nud89eJC1iA6655noGDRrE3XffyXHHHc1Pf3odY8aszQEHfJIvfekIBg4cyHrrrU+fPn17IPeSJEmS6tlkk8149tlnFpq2wgqDF/w9a9brC1qX/vrXN7P11tvxjneU7pkjRqwILNyyFFjQsnT//Q/qjk1oCNYwL+Oefnoyzz77DOPG7cdee+3OlCkvcMgh+zN16oussMJgBg0aBMAHPvAh5s6dy8svvwzAbrvtwUUX/YSzz76AIUOGsuaaa/XkZkiSJElqh/POO5v//u9dueWWmxg//rMATJr0FDNmzOCIIz7DIYccwE033QDYshSsYV7mvfOd63LDDb9e8HmvvXbnwgsvY/jw4Uyd+iIrrrgSTU1NPPTQg8yfP59hw4YBMG3aS4wYsSLPPfccd9zxG847b2IPbYEkSZKk9jr00MM59NDDueyyi7n22qsZP/5Q5s2bS+bDfP/75zJ79mw++9mD2XDD/7RlKQbMy5wTTjiO++//My+//DIf//hHGD/+M+y22x5157399tu47rqf0bdvXwYMGMBJJ522oNnG8cd/hVdemU7fvv348pe/ypAhQ7pzMyRJkiS9BTvttAvHHHMk48cfysiRqzJs2HAGDhzIwIED2XjjTfnXvx5lrbVGs9tueyyIF84772xGjlylh3PevQyYlzEnnXTaYtOvueb6BX/vuec+7LnnPnXnO+ecCzs1X5IkSZK61qRJTy3oSnnnnbczevQYALbaahu++90zmDt3LnPnzuWhhx5kn33GArYsNWCWJEmSpF6mXsvSu+++i6eeepI+ffqw6qqrccwxxwIwZszabLHFBxg3bj+amprYffc9WGeddQFblhowS5IkSVIvU69laVtdMQHGjv0kY8d+cpHpy3rLUkfJliRJkiSpDgNmSZIkSZLqMGCWJEmSJKkO+zB3gSFDl2f5Acv1dDbUyqzZbzDjlVk9nQ1JkiRJbxMGzF1g+QHLMfYrl/d0NtTKFWfszwwMmCVJkiS1jwGzJEmSJHXQiGED6dffcKrRzJ0zl2nTX++05VnCkiRJktRB/fr344Fzbu/pbKiVjT+3bacuz0G/JEmSJEmqw4BZkiRJkqQ6DJglSZIkSarDgFmSJEmSpDoMmCVJkiRJqsOAWZIkSZKkOgyYJUmSJEmqw4BZkiRJkqQ6DJglSZIkSarDgFmSJEmSpDoMmCVJkiRJqsOAWZIkSZKkOgyYJUmSJEmqw4BZkiRJkqQ6DJglSZIkSarDgFmSJEmSpDoMmCVJkiRJqsOAWZIkSZKkOgyYJUmSJEmqw4BZkiRJkqQ6DJglSZIkSaqjX09noDtExHDgfGAX4BXg1Mw8p2dzJUmSJElqZMtKDfMPKQ8HVgd2BU6KiO16NkuSJEmSpEbW62uYI2IF4BPAppk5A7g/Ii4CDgF+u4Sv9wXo06epw+tdecQKHf6Out7SlGVH9R+6UpevQx3XHWUPsPLgFbtlPeqY7ij/gSt77Dei7jr2hw0f1C3rUcd0V/kPHe7x34i6o/yXG7J8l69DHdeRsq+Zt2+99Kbm5uZOyFLjiohNgXsys3/NtP2Ar2Tmpkv4+oeA33dl/iRJkiRJPW4r4M7WE3t9DTMwmNJvudbLwJB2fPdeyg/3LDCvk/MlSZIkSepZfYHVKLHfIpaFgHkmMLTVtGHAjHZ8dzZ1njJIkiRJknqNx9pKWBYG/XoEaI6Id9VM2wR4sIfyI0mSJEl6G+j1fZgBIuJyYABwMLA2cCuwT2YuadAvSZIkSdIyalmoYQY4HGim9EW+GTjRYFmSJEmStDjLRA2zJEmSJEkdtazUMEuSJEmS1CEGzJIkSZIk1WHALEmSJElSHQbMkiRJkiTVYcDcy0TEDyLiWz2dD0mSJEkdExE/ioiTOmE5EyPim52Rp2Vdv57OgDomIsYBn83M99dJ+zRAZn51Md/fFTgW2AiYBdwIfDkzX66ZZwLwWcr+cSVwZGa+0YmbscyLiNuBn2bmjzppeasA3we2AVYA/gEck5l3Ven9gSuAzYHRwHaZeXsnrXtV4DogKPvMQ9W676yZ5wjKfjeUss99OjNf6Yz1v910dtlXy7wC2I5S9s8BZ2TmhVVal5V9qzyMAy4GDqvdNst+YV1R/jXLDuAB4OeZuW81rSuP/THAv4FXayZ/JzNPqJnH60mNLjr+nwBWBeZVk/6UmdtXaasB5wHvBd4BrJ2ZT3TiulcEvgt8lFIJc19m7lCTbvlXuurYj4jDgKOA1YBngIMy8w9dfOzvT9mvWvQBBgKbZ+afq3ks+6WUmZ/tyfVHxFqUe7laKwBHZ+Z3qnk+AXyLcu65Czg4M5/u1ox2I2uYe5HMvCAzj1zCbMOACcDqwAbAKsD3WhIj4lPAvpQT7LrAJsD/dEmG1aaI6OjDrMHAvcB7gBHAhcANETG8Zp47gQMoAVVnegU4GBgJDKecQK+vLtZExE7ACcCuwChgOeCsTs5Dr7EUZQ9wKjAmM4dSblwnRMT7atK7quwBiIiVKEHxP1pNt+w7aCnLv8W5wJ/qTO/S8gdWzszB1b/aYNnrSQe9hfL/eE0ZbF8zfT5wM/Dfbz13dV0LTAfWBlYEFjywt/w7ZmnKvnpQeTilfAcD2wNP1MzSJcd+Zl5es78NBj4HPA78pcqXZf82lplPtSrf/6ScS34GEBHvAi4CPgOsDCTl4UyvZQ1zA4qIrwCHUoLZScDXMvOX1Q76I2C5iJhZzT6MUo6nAPtQnvD9EvhCZr7aetmZWbtDvxYR5wPfqZl2MHBmyxPoiDgZOJ9y01svrz8Ftq3W+1dK7dLDVdpE4DXKU+2dKCfxgzPzvip9feAcSpD3AnB6Zk6s0t4HnE2ptXyd8lT2C4v94bpZRKwO/ADYmrKdZ9U8eTuRcoJ5CdgbeBE4IjNviohTga2A90fE/1K27VMR0QwcCXyeEvSOrFoETKDcjPwT+Fxm/qV1XjLzceDMmkkXVcveELgrM+dQPRiJiHmtv19n23YBTgPeCbwMXJCZp9SbNzNfp5wsiYg+lFqO4ZST6DPAOODizLy/mud44K8RcVhmvlZn3WcCn6Ds249Q9uWWmvITaeN3rdJXo+w3WwMzKMfLGZnZHBHrUh4kbAq8AdyRmXsu6bdo4/dpmLIHyMzaQLW5+rcupaapy8q+xv9S9r/9Wk0fRy8r+2pdDVX+1XoPAp6nHIsbtEzvpvJvS6+8njRi+bclM58HzmlvMFbtR18F1qT8jt/MzAvamHfHKn87ZGbLvnVfzSy9rvwbqeyr6+3JwPjM/Fs1eVJLejcf+wcBl2Zmc/W515X9klQtPc4FxlJ+w58BR1MCy22q7fpEZr7Qzm1+LjO/FhErAxOBD1Ku7Q9RWgssUlsfEdsBPwTWAm4AmlqlL+155ZPA72papxwA3JSZt1bL/R/ghYh4Z2Y+VidfdeOaKm0cpSXCbdX/s4Dja8pwKGU/3pVy/f4pcFxmzunIb/NWWcPcmB6jnFhbaoOviIhVqwPps8C9NU9+5gHfpARG7wHWoQQqE9q5rq1ZuFZoI0qTvhb3A2tExLA2vn8zsB6lScaDwGWt0sdSbqSHV/OeAxARy1EO5t9V3z0QODMitqm+933gB1WN2TspB0jDqC5U11MOzjUpJ73DIuJjNbPtBtxEeer+PUoQ2yczjwd+D3yxKsNP1Xzn48CWwFoRsSlwCeXJ7YqUmrnrI2JQO/K3EeVp8yNLuYmvUk6Qw4HdgS9ExG5LWOffKCe6X1KCpGeqpIX2qZYLAmW/qefPlKfRKwL/D7g6IgbUpNf9Xau0K4CplDL5MOUE/ckq7RTg15SbkjUozQg7rFHLPiLOiYjXKBfB5yjH19LoUNlXx+y7gHo31b2q7KExyz9KDf83gC8v7XbV6PCxDzwWEZMj4pIo3UNa9LrrSSOWf+WSiJgSEb+uvr+0plDKfSjwaeAHEfHuNub9AOV8c3FETI2I+yNi95r0XlX+DVj2o6p8vCsinoyIpyLiO63OmR2xNMc+ETGaci95ac3kXlX2HbAX5fqzXvX/rZSHGiOB2cAxNfMuaZtbHAVMpgSbqwJfo9T2LiRK94hfUGKCEZR7sT1r0pfqnjIimij7xSU1k1tf26dTHmRs1MZi6sY1Nenvody3rAocBpxbXdegPKBaFVif0rVkG0qLNmjnb9MZDJgbUGb+LDOfycz5VY3wE5RmLYuoduTPUPohv5iZMynNM/dd0noiYnvgU8DxNZMHU5pXtWjp2zykjbxOzMwZmTkLOBF4T0SsUDPLzzPzziqwnwhsUl10tqAc0Kdm5pzM/BPlKdyB1ffeANaNiJGZOTMz717S9nSz91L6C52QmbOrp27nsfDvfndmXltt+0WUp6OrL2G536zK8XVKuV6QmXdX+8LllPLYanELiIghwE+A0zJzytJsXGb+LjP/Xq33AcpFZpslfOfdlJusscAdNUmt9ymqz23tU5dn5tTMnAucUS1z3ZpZ6v6uEbFGlcdjMvP1zHyEcoGt3adGA6tn5qys6WPdQQ1Z9pn5OcpvuhXlyfbrS7NxHSn7KM3uz6Y8pa53keptZQ+NWf7fptwUPrv0m1V08Nh/kfJ7jKbc8KxA6avYojdeTxqx/PcHxlDK4TfAr6qb5w7LzBsz87HMbM7M31Bqfdpa75rAzsAfKNv4VeCnEdHyQKy3lX+jlf2a1f+7UlrPbFHN97Wl2bilue5XPgn8PjP/XTOtt5V9e/0wM5+rzsV3AH/JzHszczZlrJcFD7Pasc0t3qDsd2My842a36G13YBHM/OyzJybmVeycIuPpbqnBD5ECUavqZlW79r+Mm2X75Limqcz86wq378EZlIeBPWltFw7NjOnV7/rSSxcvu35bd4ym2Q3oKp5wpcoFz8oO+bKbcw+EhgE3BMRLdOagP4RsVy20SwhIrYArgL2zoWbc86k3KS2aHkaOKPOMvoCp1OeqK3Mm091VubNQWBq+828SunD2J/yZHRyqx37CcqJH2A85aB4KCKeAiZk5nX1tqWHjKY80ZpW87v3pfQjbrFg2zPz1Wq+wUtY7qSav0cDB0UZ0KNFfxZz8Y2IgZQn4H+l/H5LJSI+QCnbDat1DmDhG+G6qhP/lRHxcETcX110W+9TVJ8X2aeqdX8FOIRyEmym3ITX7v9t/a7DgOlZM4AdZZ8aVf39FcqT3nsiYjrwvcw8f0nbVEdDln21rnnAnRFxAOUp7Q+WsM5FdLDsvwLcnm036eptZQ8NVv4RsRXlJuzT7cz/YnWk/LM8oG25IXs+ygBvz0bEiMycRu+8njRU+VfruKvm4+lRmlVvQ7lB75AoTTa/Qan56kO5v7i3jdlfo/zuLYNY/SoifkcJoh+l95V/o5V9S7eWMzLzJYCI+A6lGXCHr/9Le92nBMyntZrW28q+vZ6v+fv1Op8HQ7u3ucW3KQH1zdVDgh9THhA0t5pvdeCpVtOerPl7qe4rKM3tf1ad71vUu7YPo+1r+zgWH9e07mP/as08/VttxxO8eW1v72/zlhkwN5iqacv5lIEb7s7MeRHxIG/2Q2i9E7xIOQg3zswnaYeqWcb1lNFqb2mV/CCwMeWJMZTmkZOzNLdobX/gY8AOlB14JUpzrqY687b2NKV5Tt+aE92YajqZ+SgwtjoAPkppmrlqdRPWCCYBkzJz7aX8flsHc+30ScC3MrNdF76qGdbPKSee8W/xhHE5pebwvzJzVkT8kCVf9GstR+ke8ABv7lNXVPncgLKPPFpnG7amBDfbUboKNFOeYrZ3nxoWEcNq9tcxvLlPPUd5wtpyY/CbiPhDZj7Yge2CBiz7OvpRmp8tjY6U/Y7Af0bEXtXnFYFNI2KTLKN89rayh8Yr/x0otfBP19yc942Iv2Vp9dFRb+XYb9mGljLrjdeTRiv/jqxjsapryDWUG+TrMvONiFikH2SNv7H4wcR6W/k3Wtk/Qmnm21nBQYeP/Yj4ICXguqZVUm8r+87W7m3OzBmUpseUfgh3AAAEyklEQVRHRcR/UFqR/BX4v1azPkPpu1xrLd4cBK7D55WqEuYTlG4DtVrKt2W+oZR+0YtcU9sR1yzOi8AcSqDd0k9/DG+Wb3t/m7fMgLnxrEA5+U2BBSMNblCT/jwwKiIGZGkSND8iLqD02fhcZj4fEaMoAfSNrRcepW/rzZTh/X9eZ/0TgWMi4kbKE56vU5q31DOYcrKeSnkKfWoHtvMeSvONYyPiDODdlEEi9qzyeQDwq8ycEhGvUA6sLmlmsZT+RHnKfBylP+QcyqASQzLznnZ8/3lKQLk4FwC/iIhbKL/XQEo/oT+2PtlH6cdzDaUP8QFZp3lsdTPUcoLqHxHLA3PqzUsp25eqi+b7KU3O6vaJrQKQPpTfpB9lAJNVqzxD2acuj4jLKa+gmQBclXUGfarWO5ey//ejdBeo10RpEZk5OSJ+D5wREV+k9FX9EqX/KlFegXB3Zk6mjOzdzNLtU41W9u+o0m6kPDzbidKEab+aebqk7Ck3y/1rPl9LeWjT8rqRifSusocGK3/KgGu1r6k5mhJAL6hx7sJjfwvKefxRSrPIH1AGVHupmmUive960lDlH+X1L2tSajn7UAaPGknpL9syz/KUmlCAAdXn2XUeqvav/k0B5la1zTuwcLPOWtcB367uUy6m9On9UJUH6H3l31Bln5mvRXml4DER8WdK2X2J0ncV6NJzf4uW2sfWNYsT6V1l39navc1R+pH/k9IPeAYl//XK7/+As6O88usqym/wXkr/bujYdaXFx4FpwG9bTf8JpcXW9sDdlGvtH7POgF8sOa5pUxVc/xQ4tSrLgZQWMD+pltXe3+Ytsw9zg8nMhyijVv+RUlO4AW8GHlCenjxAafb2ctWs4yuUHebu6oRwK2UQnnqOolxML4yImS3/atIvpAy282fKDvh32h5A7FLKk6unKTVCf2hjvnrb+QZlUIntKaMaXgF8Jd98R+CHgX9UeTsbGJsN9O7W6knmbpQRMf9NeQp2MeWmsT2+D+wREdMi4rx6M2QZAXJ8Ne9LwL8ofc7r2bLKz07AyzVlu3/tIikB1SjgV9XfW7exvM8BJ0XEDOA44OrFbMtAysiQ0yj7wkeAXbMa9Cszf005md4MPEs5mX2+/qL4FSXwe4Syb71Sfae99qME65Mpgzz9mDcHItmccoKfSbkJOCbfHISq3Rqw7JuBIyi//TRKE6UvZjUCZcsi6YKyz8yXsvTXeq6qxZ0DvNJSi9Dbyh4ar/yz9MurLYOZwKxcePyCrjr216GU7QxKzcJsFu7P2euuJ41W/pQ+g7Xn3/+i1BC+WDPP65T9Asq9wuu82TSydr0zgC9Q+q5Oo9QstRkwVTfZu1Nea/QKZZCrfTPzX9Usvar8G7DsoZTXVErt4QOU9+F+q3aRdM2x3/IgZm8WHgyqRa8q+y7QkW1ej3JNm0GJDX6c1dshamXmVEqAezzl+N2D6jVQVXpH9y0oD0Qua/1wrbp+jqeU81RKzDG23gLaEdcsyZHVOh6hvLbsTkpzdmjnb9MZmpqbO72ZtyRJkiRJb3vWMEuSJEmSVIcBsyRJkiRJdRgwS5IkSZJUhwGzJEmSJEl1GDBLkiRJklSHAbMkSZIkSXUYMEuSJEmSVIcBsyRJkiRJdfx/0PaVFEjFm3gAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1152x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "uiQKd4Mt3ZQ2",
        "outputId": "f5202c36-8f84-4e0d-8d3d-56013a485d25"
      },
      "source": [
        "#Calculando o número de reclamações por faixa etária e por sexo\n",
        "pd.crosstab(index = dados[\"Faixa Etária\"], columns = dados.Sexo)"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Sexo</th>\n",
              "      <th>F</th>\n",
              "      <th>M</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Faixa Etária</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>até 20 anos</th>\n",
              "      <td>622</td>\n",
              "      <td>837</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 21 a 30 anos</th>\n",
              "      <td>7487</td>\n",
              "      <td>11033</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 31 a 40 anos</th>\n",
              "      <td>8282</td>\n",
              "      <td>12387</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 41 a 50 anos</th>\n",
              "      <td>4068</td>\n",
              "      <td>5413</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 51 a 60 anos</th>\n",
              "      <td>2876</td>\n",
              "      <td>2876</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 61 a 70 anos</th>\n",
              "      <td>1756</td>\n",
              "      <td>1551</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mais de 70 anos</th>\n",
              "      <td>764</td>\n",
              "      <td>605</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Sexo                   F      M\n",
              "Faixa Etária                   \n",
              "até 20 anos          622    837\n",
              "entre 21 a 30 anos  7487  11033\n",
              "entre 31 a 40 anos  8282  12387\n",
              "entre 41 a 50 anos  4068   5413\n",
              "entre 51 a 60 anos  2876   2876\n",
              "entre 61 a 70 anos  1756   1551\n",
              "mais de 70 anos      764    605"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "T8bA3Cw038ru",
        "outputId": "f698b4d4-f9b5-49b7-abdc-38350da8dd31"
      },
      "source": [
        "#Calculando o número de reclamações por faixa etária e por sexo normalizado pelas colunas\n",
        "pd.crosstab(index = dados[\"Faixa Etária\"], columns = dados.Sexo, normalize=\"columns\")*100"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Sexo</th>\n",
              "      <th>F</th>\n",
              "      <th>M</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Faixa Etária</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>até 20 anos</th>\n",
              "      <td>2.41</td>\n",
              "      <td>2.41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 21 a 30 anos</th>\n",
              "      <td>28.96</td>\n",
              "      <td>31.79</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 31 a 40 anos</th>\n",
              "      <td>32.03</td>\n",
              "      <td>35.70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 41 a 50 anos</th>\n",
              "      <td>15.73</td>\n",
              "      <td>15.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 51 a 60 anos</th>\n",
              "      <td>11.12</td>\n",
              "      <td>8.29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 61 a 70 anos</th>\n",
              "      <td>6.79</td>\n",
              "      <td>4.47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mais de 70 anos</th>\n",
              "      <td>2.95</td>\n",
              "      <td>1.74</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Sexo                   F     M\n",
              "Faixa Etária                  \n",
              "até 20 anos         2.41  2.41\n",
              "entre 21 a 30 anos 28.96 31.79\n",
              "entre 31 a 40 anos 32.03 35.70\n",
              "entre 41 a 50 anos 15.73 15.60\n",
              "entre 51 a 60 anos 11.12  8.29\n",
              "entre 61 a 70 anos  6.79  4.47\n",
              "mais de 70 anos     2.95  1.74"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "9VzdUUI24pQU",
        "outputId": "e810e616-e63a-4ad3-9bcf-96ee1230bbfd"
      },
      "source": [
        "#Calculando o número de reclamações por faixa etária e por sexo normalizado pelas linhas\n",
        "pd.crosstab(index = dados[\"Faixa Etária\"], columns = dados.Sexo, normalize=\"index\") * 100"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Sexo</th>\n",
              "      <th>F</th>\n",
              "      <th>M</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Faixa Etária</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>até 20 anos</th>\n",
              "      <td>42.63</td>\n",
              "      <td>57.37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 21 a 30 anos</th>\n",
              "      <td>40.43</td>\n",
              "      <td>59.57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 31 a 40 anos</th>\n",
              "      <td>40.07</td>\n",
              "      <td>59.93</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 41 a 50 anos</th>\n",
              "      <td>42.91</td>\n",
              "      <td>57.09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 51 a 60 anos</th>\n",
              "      <td>50.00</td>\n",
              "      <td>50.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>entre 61 a 70 anos</th>\n",
              "      <td>53.10</td>\n",
              "      <td>46.90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mais de 70 anos</th>\n",
              "      <td>55.81</td>\n",
              "      <td>44.19</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Sexo                   F     M\n",
              "Faixa Etária                  \n",
              "até 20 anos        42.63 57.37\n",
              "entre 21 a 30 anos 40.43 59.57\n",
              "entre 31 a 40 anos 40.07 59.93\n",
              "entre 41 a 50 anos 42.91 57.09\n",
              "entre 51 a 60 anos 50.00 50.00\n",
              "entre 61 a 70 anos 53.10 46.90\n",
              "mais de 70 anos    55.81 44.19"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "Lh6lf5Wm2KBN",
        "outputId": "99a7806a-8cff-4446-e496-d9743e232a3e"
      },
      "source": [
        "#Visualizando o número de reclamações por faixa etária e por sexo\n",
        "plt.figure(figsize=(16,8))\n",
        "\n",
        "ax = sns.countplot(data=dados, x=\"Faixa Etária\", order=sorted(dados[\"Faixa Etária\"].unique()), hue=\"Sexo\")\n",
        "ax.set_xlabel(\"\")\n",
        "ax.set_ylabel(\"Número de reclamações\")\n",
        "ax.set_title(\"Número de reclamações por faixa etária e por sexo - Janeiro/2019\", fontsize=16)\n",
        "ax.set_ylim(0, 15000)\n",
        "anotacao(ax)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GnFKMehrAZCz"
      },
      "source": [
        "### **Empresa**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "2awfEDB--TrL",
        "outputId": "3b17d4c1-941a-4965-d883-68137fe0c466"
      },
      "source": [
        "#Visualizando o número de reclamações por empresa\n",
        "plt.figure(figsize=(16,8))\n",
        "\n",
        "ax = sns.countplot(y=dados[\"Nome Fantasia\"], order=pd.value_counts(dados[\"Nome Fantasia\"]).iloc[:15].index)\n",
        "ax.set_xlabel(\"Número de reclamações\")\n",
        "ax.set_ylabel(\"\")\n",
        "ax.set_title(\"Número de reclamações por empresa - Janeiro/2019\", fontsize=16)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m6Tqg8jDA5eD"
      },
      "source": [
        "### **Segmento do Mercado**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "Y1jJRpiC6baG",
        "outputId": "d2934ec8-e1f5-47c5-d0c6-1c99cbc1c688"
      },
      "source": [
        "#Visualizando o número de reclamações por segmento do mercado\n",
        "plt.figure(figsize=(16,16))\n",
        "\n",
        "ax = sns.countplot(data=dados, y=\"Segmento de Mercado\", order=pd.value_counts(dados[\"Segmento de Mercado\"]).iloc[:20].index)\n",
        "ax.set_xlabel(\"Número de reclamações\")\n",
        "ax.set_ylabel(\"\")\n",
        "ax.set_title(\"Número de reclamações por Segmento de Mercado - Janeiro/2019\", fontsize=16)\n",
        "ax.set_xlim(0, 25000)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x1152 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gTenAoqUBY5j"
      },
      "source": [
        "### **Tipo de Problema**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "KBkY4JzRBmac",
        "outputId": "12daf84b-9c82-4451-bdf3-73eae96b0ab2"
      },
      "source": [
        "display(pd.DataFrame(dados[\"Grupo Problema\"].value_counts()))"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "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>Grupo Problema</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Cobrança / Contestação</th>\n",
              "      <td>25235</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Contrato / Oferta</th>\n",
              "      <td>10933</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Vício de Qualidade</th>\n",
              "      <td>8727</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Atendimento / SAC</th>\n",
              "      <td>7337</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Entrega do Produto</th>\n",
              "      <td>4703</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Informação</th>\n",
              "      <td>3294</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Saúde e Segurança</th>\n",
              "      <td>328</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        Grupo Problema\n",
              "Cobrança / Contestação           25235\n",
              "Contrato / Oferta                10933\n",
              "Vício de Qualidade                8727\n",
              "Atendimento / SAC                 7337\n",
              "Entrega do Produto                4703\n",
              "Informação                        3294\n",
              "Saúde e Segurança                  328"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qmRPqKrCC3IS"
      },
      "source": [
        "### **Como comprou ou contratou o serviço**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "xLTZLYttC2kN",
        "outputId": "daa66bab-a655-4f53-8039-d7e7c0818c48"
      },
      "source": [
        "#Visualizando o número de reclamações de acordo com a forma de contratação ou compra\n",
        "plt.figure(figsize=(16,16))\n",
        "\n",
        "ax = sns.countplot(data=dados, y=\"Como Comprou Contratou\", order=pd.value_counts(dados[\"Como Comprou Contratou\"]).iloc[:20].index)\n",
        "ax.set_xlabel(\"Número de reclamações\")\n",
        "ax.set_ylabel(\"\")\n",
        "ax.set_title(\"Número de reclamações de acordo com a forma de contratação ou compra - Janeiro/2019\", fontsize=16)\n",
        "ax.set_xlim(0, 25000)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x1152 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "eUoInXhIDeQb",
        "outputId": "9e384539-bb1b-40e5-8b67-d233e7b21c27"
      },
      "source": [
        "#Calculando o número de reclamações de acordo com a forma de contratação ou compra e por idade\n",
        "df = pd.crosstab(index = dados[\"Como Comprou Contratou\"], columns = dados[\"Faixa Etária\"])\n",
        "df.style.background_gradient()"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "            color:  #f1f1f1;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row3_col5{\n",
              "            background-color:  #358fc0;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row3_col6,#T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col2{\n",
              "            background-color:  #71a8ce;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col0{\n",
              "            background-color:  #abbfdc;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col1{\n",
              "            background-color:  #91b5d6;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col2{\n",
              "            background-color:  #9cb9d9;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col3{\n",
              "            background-color:  #4a98c5;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col4{\n",
              "            background-color:  #045b8e;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col5{\n",
              "            background-color:  #03517e;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col6{\n",
              "            background-color:  #045382;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col0{\n",
              "            background-color:  #c4cbe3;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col1{\n",
              "            background-color:  #c1cae2;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col2{\n",
              "            background-color:  #b9c6e0;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col3{\n",
              "            background-color:  #79abd0;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col4{\n",
              "            background-color:  #167bb6;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col5{\n",
              "            background-color:  #056dab;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col6{\n",
              "            background-color:  #03446a;\n",
              "            color:  #f1f1f1;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col0{\n",
              "            background-color:  #b0c2de;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col1{\n",
              "            background-color:  #7eadd1;\n",
              "            color:  #000000;\n",
              "        }#T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col3{\n",
              "            background-color:  #2081b9;\n",
              "            color:  #000000;\n",
              "        }</style><table id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002\" ><thead>    <tr>        <th class=\"index_name level0\" >Faixa Etária</th>        <th class=\"col_heading level0 col0\" >até 20 anos</th>        <th class=\"col_heading level0 col1\" >entre 21 a 30 anos</th>        <th class=\"col_heading level0 col2\" >entre 31 a 40 anos</th>        <th class=\"col_heading level0 col3\" >entre 41 a 50 anos</th>        <th class=\"col_heading level0 col4\" >entre 51 a 60 anos</th>        <th class=\"col_heading level0 col5\" >entre 61 a 70 anos</th>        <th class=\"col_heading level0 col6\" >mais de 70 anos</th>    </tr>    <tr>        <th class=\"index_name level0\" >Como Comprou Contratou</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Catálogo</th>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row0_col0\" class=\"data row0 col0\" >11</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row0_col1\" class=\"data row0 col1\" >142</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row0_col2\" class=\"data row0 col2\" >103</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row0_col3\" class=\"data row0 col3\" >39</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row0_col4\" class=\"data row0 col4\" >16</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row0_col5\" class=\"data row0 col5\" >11</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row0_col6\" class=\"data row0 col6\" >5</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Domicílio</th>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row1_col0\" class=\"data row1 col0\" >24</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row1_col1\" class=\"data row1 col1\" >526</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row1_col2\" class=\"data row1 col2\" >447</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row1_col3\" class=\"data row1 col3\" >233</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row1_col4\" class=\"data row1 col4\" >167</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row1_col5\" class=\"data row1 col5\" >82</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row1_col6\" class=\"data row1 col6\" >38</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Ganhei de presente</th>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row2_col0\" class=\"data row2 col0\" >18</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row2_col1\" class=\"data row2 col1\" >130</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row2_col2\" class=\"data row2 col2\" >118</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row2_col3\" class=\"data row2 col3\" >52</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row2_col4\" class=\"data row2 col4\" >28</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row2_col5\" class=\"data row2 col5\" >7</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row2_col6\" class=\"data row2 col6\" >3</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Internet</th>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row3_col0\" class=\"data row3 col0\" >688</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row3_col1\" class=\"data row3 col1\" >7922</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row3_col2\" class=\"data row3 col2\" >8847</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row3_col3\" class=\"data row3 col3\" >3286</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row3_col4\" class=\"data row3 col4\" >1455</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row3_col5\" class=\"data row3 col5\" >605</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row3_col6\" class=\"data row3 col6\" >198</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Loja física</th>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col0\" class=\"data row4 col0\" >253</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col1\" class=\"data row4 col1\" >3436</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col2\" class=\"data row4 col2\" >3597</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col3\" class=\"data row4 col3\" >1930</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col4\" class=\"data row4 col4\" >1364</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col5\" class=\"data row4 col5\" >877</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row4_col6\" class=\"data row4 col6\" >352</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Não comprei / contratei</th>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col0\" class=\"data row5 col0\" >203</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col1\" class=\"data row5 col1\" >2393</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col2\" class=\"data row5 col2\" >2865</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col3\" class=\"data row5 col3\" >1612</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col4\" class=\"data row5 col4\" >1110</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col5\" class=\"data row5 col5\" >740</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row5_col6\" class=\"data row5 col6\" >374</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >SMS / Mensagem de texto</th>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row6_col0\" class=\"data row6 col0\" >12</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row6_col1\" class=\"data row6 col1\" >101</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row6_col2\" class=\"data row6 col2\" >97</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row6_col3\" class=\"data row6 col3\" >35</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row6_col4\" class=\"data row6 col4\" >26</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row6_col5\" class=\"data row6 col5\" >13</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row6_col6\" class=\"data row6 col6\" >1</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Stand, feiras e eventos</th>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row7_col0\" class=\"data row7 col0\" >8</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row7_col1\" class=\"data row7 col1\" >82</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row7_col2\" class=\"data row7 col2\" >86</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row7_col3\" class=\"data row7 col3\" >38</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row7_col4\" class=\"data row7 col4\" >21</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row7_col5\" class=\"data row7 col5\" >9</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row7_col6\" class=\"data row7 col6\" >7</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >Telefone</th>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col0\" class=\"data row8 col0\" >242</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col1\" class=\"data row8 col1\" >3788</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col2\" class=\"data row8 col2\" >4509</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col3\" class=\"data row8 col3\" >2256</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col4\" class=\"data row8 col4\" >1565</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col5\" class=\"data row8 col5\" >963</td>\n",
              "                        <td id=\"T_89600640_c1c1_11eb_b28f_0242ac1c0002row8_col6\" class=\"data row8 col6\" >391</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f4c36ae5a50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "A4Ar3-zID0nX",
        "outputId": "2547055f-3ee0-44b1-e4c2-c1134b29766f"
      },
      "source": [
        "#Calculando o número de reclamações de acordo com a forma de contratação ou compra e por idade normalizado pelas colunas\n",
        "df = pd.crosstab(index = dados[\"Como Comprou Contratou\"], columns = dados[\"Faixa Etária\"], normalize=\"columns\")\n",
        "df.style.apply(colore_max, color=\"blue\", axis=1).format(\"{:.2%}\")"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row0_col1,#T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row1_col4,#T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row2_col0,#T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row3_col0,#T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row4_col5,#T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row5_col6,#T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row6_col0,#T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row7_col0,#T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row8_col5{\n",
              "            color:  blue;\n",
              "        }</style><table id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002\" ><thead>    <tr>        <th class=\"index_name level0\" >Faixa Etária</th>        <th class=\"col_heading level0 col0\" >até 20 anos</th>        <th class=\"col_heading level0 col1\" >entre 21 a 30 anos</th>        <th class=\"col_heading level0 col2\" >entre 31 a 40 anos</th>        <th class=\"col_heading level0 col3\" >entre 41 a 50 anos</th>        <th class=\"col_heading level0 col4\" >entre 51 a 60 anos</th>        <th class=\"col_heading level0 col5\" >entre 61 a 70 anos</th>        <th class=\"col_heading level0 col6\" >mais de 70 anos</th>    </tr>    <tr>        <th class=\"index_name level0\" >Como Comprou Contratou</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Catálogo</th>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row0_col0\" class=\"data row0 col0\" >0.75%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row0_col1\" class=\"data row0 col1\" >0.77%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row0_col2\" class=\"data row0 col2\" >0.50%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row0_col3\" class=\"data row0 col3\" >0.41%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row0_col4\" class=\"data row0 col4\" >0.28%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row0_col5\" class=\"data row0 col5\" >0.33%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row0_col6\" class=\"data row0 col6\" >0.37%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Domicílio</th>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row1_col0\" class=\"data row1 col0\" >1.64%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row1_col1\" class=\"data row1 col1\" >2.84%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row1_col2\" class=\"data row1 col2\" >2.16%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row1_col3\" class=\"data row1 col3\" >2.46%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row1_col4\" class=\"data row1 col4\" >2.90%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row1_col5\" class=\"data row1 col5\" >2.48%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row1_col6\" class=\"data row1 col6\" >2.78%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Ganhei de presente</th>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row2_col0\" class=\"data row2 col0\" >1.23%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row2_col1\" class=\"data row2 col1\" >0.70%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row2_col2\" class=\"data row2 col2\" >0.57%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row2_col3\" class=\"data row2 col3\" >0.55%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row2_col4\" class=\"data row2 col4\" >0.49%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row2_col5\" class=\"data row2 col5\" >0.21%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row2_col6\" class=\"data row2 col6\" >0.22%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Internet</th>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row3_col0\" class=\"data row3 col0\" >47.16%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row3_col1\" class=\"data row3 col1\" >42.78%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row3_col2\" class=\"data row3 col2\" >42.80%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row3_col3\" class=\"data row3 col3\" >34.66%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row3_col4\" class=\"data row3 col4\" >25.30%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row3_col5\" class=\"data row3 col5\" >18.29%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row3_col6\" class=\"data row3 col6\" >14.46%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Loja física</th>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row4_col0\" class=\"data row4 col0\" >17.34%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row4_col1\" class=\"data row4 col1\" >18.55%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row4_col2\" class=\"data row4 col2\" >17.40%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row4_col3\" class=\"data row4 col3\" >20.36%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row4_col4\" class=\"data row4 col4\" >23.71%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row4_col5\" class=\"data row4 col5\" >26.52%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row4_col6\" class=\"data row4 col6\" >25.71%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Não comprei / contratei</th>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row5_col0\" class=\"data row5 col0\" >13.91%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row5_col1\" class=\"data row5 col1\" >12.92%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row5_col2\" class=\"data row5 col2\" >13.86%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row5_col3\" class=\"data row5 col3\" >17.00%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row5_col4\" class=\"data row5 col4\" >19.30%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row5_col5\" class=\"data row5 col5\" >22.38%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row5_col6\" class=\"data row5 col6\" >27.32%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >SMS / Mensagem de texto</th>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row6_col0\" class=\"data row6 col0\" >0.82%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row6_col1\" class=\"data row6 col1\" >0.55%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row6_col2\" class=\"data row6 col2\" >0.47%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row6_col3\" class=\"data row6 col3\" >0.37%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row6_col4\" class=\"data row6 col4\" >0.45%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row6_col5\" class=\"data row6 col5\" >0.39%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row6_col6\" class=\"data row6 col6\" >0.07%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Stand, feiras e eventos</th>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row7_col0\" class=\"data row7 col0\" >0.55%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row7_col1\" class=\"data row7 col1\" >0.44%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row7_col2\" class=\"data row7 col2\" >0.42%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row7_col3\" class=\"data row7 col3\" >0.40%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row7_col4\" class=\"data row7 col4\" >0.37%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row7_col5\" class=\"data row7 col5\" >0.27%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row7_col6\" class=\"data row7 col6\" >0.51%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >Telefone</th>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row8_col0\" class=\"data row8 col0\" >16.59%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row8_col1\" class=\"data row8 col1\" >20.45%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row8_col2\" class=\"data row8 col2\" >21.82%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row8_col3\" class=\"data row8 col3\" >23.79%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row8_col4\" class=\"data row8 col4\" >27.21%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row8_col5\" class=\"data row8 col5\" >29.12%</td>\n",
              "                        <td id=\"T_85a3c770_c1c2_11eb_b28f_0242ac1c0002row8_col6\" class=\"data row8 col6\" >28.56%</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f4c369c0e10>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "VVpw6jQiEBiv",
        "outputId": "e0ab31f9-ebad-4d45-fd84-78840e714b6e"
      },
      "source": [
        "#Calculando o número de reclamações de acordo com a forma de contratação ou compra e por idade normalizado pelas linhas\n",
        "df = pd.crosstab(index = dados[\"Como Comprou Contratou\"], columns = dados[\"Faixa Etária\"], normalize=\"index\")\n",
        "df.style.highlight_max(color=\"lavender\", axis=1).format(\"{:.2%}\")"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<style  type=\"text/css\" >\n",
              "#T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row0_col1,#T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row1_col1,#T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row2_col1,#T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row3_col2,#T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row4_col2,#T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row5_col2,#T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row6_col1,#T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row7_col2,#T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row8_col2{\n",
              "            background-color:  lavender;\n",
              "        }</style><table id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002\" ><thead>    <tr>        <th class=\"index_name level0\" >Faixa Etária</th>        <th class=\"col_heading level0 col0\" >até 20 anos</th>        <th class=\"col_heading level0 col1\" >entre 21 a 30 anos</th>        <th class=\"col_heading level0 col2\" >entre 31 a 40 anos</th>        <th class=\"col_heading level0 col3\" >entre 41 a 50 anos</th>        <th class=\"col_heading level0 col4\" >entre 51 a 60 anos</th>        <th class=\"col_heading level0 col5\" >entre 61 a 70 anos</th>        <th class=\"col_heading level0 col6\" >mais de 70 anos</th>    </tr>    <tr>        <th class=\"index_name level0\" >Como Comprou Contratou</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
              "                <tr>\n",
              "                        <th id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002level0_row0\" class=\"row_heading level0 row0\" >Catálogo</th>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row0_col0\" class=\"data row0 col0\" >3.36%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row0_col1\" class=\"data row0 col1\" >43.43%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row0_col2\" class=\"data row0 col2\" >31.50%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row0_col3\" class=\"data row0 col3\" >11.93%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row0_col4\" class=\"data row0 col4\" >4.89%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row0_col5\" class=\"data row0 col5\" >3.36%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row0_col6\" class=\"data row0 col6\" >1.53%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002level0_row1\" class=\"row_heading level0 row1\" >Domicílio</th>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row1_col0\" class=\"data row1 col0\" >1.58%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row1_col1\" class=\"data row1 col1\" >34.67%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row1_col2\" class=\"data row1 col2\" >29.47%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row1_col3\" class=\"data row1 col3\" >15.36%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row1_col4\" class=\"data row1 col4\" >11.01%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row1_col5\" class=\"data row1 col5\" >5.41%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row1_col6\" class=\"data row1 col6\" >2.50%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002level0_row2\" class=\"row_heading level0 row2\" >Ganhei de presente</th>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row2_col0\" class=\"data row2 col0\" >5.06%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row2_col1\" class=\"data row2 col1\" >36.52%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row2_col2\" class=\"data row2 col2\" >33.15%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row2_col3\" class=\"data row2 col3\" >14.61%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row2_col4\" class=\"data row2 col4\" >7.87%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row2_col5\" class=\"data row2 col5\" >1.97%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row2_col6\" class=\"data row2 col6\" >0.84%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002level0_row3\" class=\"row_heading level0 row3\" >Internet</th>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row3_col0\" class=\"data row3 col0\" >2.99%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row3_col1\" class=\"data row3 col1\" >34.44%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row3_col2\" class=\"data row3 col2\" >38.46%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row3_col3\" class=\"data row3 col3\" >14.29%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row3_col4\" class=\"data row3 col4\" >6.33%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row3_col5\" class=\"data row3 col5\" >2.63%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row3_col6\" class=\"data row3 col6\" >0.86%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002level0_row4\" class=\"row_heading level0 row4\" >Loja física</th>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row4_col0\" class=\"data row4 col0\" >2.14%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row4_col1\" class=\"data row4 col1\" >29.10%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row4_col2\" class=\"data row4 col2\" >30.46%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row4_col3\" class=\"data row4 col3\" >16.34%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row4_col4\" class=\"data row4 col4\" >11.55%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row4_col5\" class=\"data row4 col5\" >7.43%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row4_col6\" class=\"data row4 col6\" >2.98%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002level0_row5\" class=\"row_heading level0 row5\" >Não comprei / contratei</th>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row5_col0\" class=\"data row5 col0\" >2.18%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row5_col1\" class=\"data row5 col1\" >25.74%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row5_col2\" class=\"data row5 col2\" >30.82%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row5_col3\" class=\"data row5 col3\" >17.34%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row5_col4\" class=\"data row5 col4\" >11.94%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row5_col5\" class=\"data row5 col5\" >7.96%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row5_col6\" class=\"data row5 col6\" >4.02%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002level0_row6\" class=\"row_heading level0 row6\" >SMS / Mensagem de texto</th>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row6_col0\" class=\"data row6 col0\" >4.21%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row6_col1\" class=\"data row6 col1\" >35.44%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row6_col2\" class=\"data row6 col2\" >34.04%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row6_col3\" class=\"data row6 col3\" >12.28%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row6_col4\" class=\"data row6 col4\" >9.12%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row6_col5\" class=\"data row6 col5\" >4.56%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row6_col6\" class=\"data row6 col6\" >0.35%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002level0_row7\" class=\"row_heading level0 row7\" >Stand, feiras e eventos</th>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row7_col0\" class=\"data row7 col0\" >3.19%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row7_col1\" class=\"data row7 col1\" >32.67%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row7_col2\" class=\"data row7 col2\" >34.26%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row7_col3\" class=\"data row7 col3\" >15.14%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row7_col4\" class=\"data row7 col4\" >8.37%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row7_col5\" class=\"data row7 col5\" >3.59%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row7_col6\" class=\"data row7 col6\" >2.79%</td>\n",
              "            </tr>\n",
              "            <tr>\n",
              "                        <th id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002level0_row8\" class=\"row_heading level0 row8\" >Telefone</th>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row8_col0\" class=\"data row8 col0\" >1.76%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row8_col1\" class=\"data row8 col1\" >27.62%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row8_col2\" class=\"data row8 col2\" >32.88%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row8_col3\" class=\"data row8 col3\" >16.45%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row8_col4\" class=\"data row8 col4\" >11.41%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row8_col5\" class=\"data row8 col5\" >7.02%</td>\n",
              "                        <td id=\"T_899f55d8_c1c2_11eb_b28f_0242ac1c0002row8_col6\" class=\"data row8 col6\" >2.85%</td>\n",
              "            </tr>\n",
              "    </tbody></table>"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f4c36974290>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-IWKsNEViYsf"
      },
      "source": [
        "### **Procurou Empresa**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 416
        },
        "id": "9m-ZJluNirnZ",
        "outputId": "06c186b0-fe96-45f7-feb8-e779bf724ba5"
      },
      "source": [
        "#Visualizando o número de consumidores que procuraram ou não a empresa para fazer a reclamação\n",
        "plt.figure(figsize=(8,6))\n",
        "\n",
        "ax = sns.countplot(data=dados, x=\"Procurou Empresa\")\n",
        "ax.set_xlabel(\"\")\n",
        "ax.set_ylabel(\"Contagem\")\n",
        "ax.set_title(\"Número de consumidores que procuraram ou não \\na empresa para fazer a reclamação - Janeiro/2019\", fontsize=16)\n",
        "ax.set_xticklabels([\"Sim\", \"Não\"])\n",
        "ax.set_ylim(0, 55000)\n",
        "anotacao(ax)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4_fyO_9NmQRz"
      },
      "source": [
        "### **Nota do Consumidor**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "id": "TaM5M1KBmarr",
        "outputId": "3e73413b-ea47-485d-c31f-08d5836b2973"
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "\n",
        "ax = sns.histplot(dados, x=\"Nota do Consumidor\", discrete=True)\n",
        "ax.set_xlabel(\"Nota\")\n",
        "ax.set_ylabel(\"Contagem\")\n",
        "ax.set_title(\"Nota do Consumidor - Janeiro/2019\", fontsize=16)\n",
        "ax.set_ylim(0, 15000)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BEGZKSRUsBiX"
      },
      "source": [
        "### **Tempo de Resposta**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "id": "F_HW1hUHsHGx",
        "outputId": "b1725fd4-e04f-4ef6-cd5f-6703cb944f82"
      },
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "\n",
        "ax = sns.histplot(dados, x=\"Tempo Resposta\", discrete=True)\n",
        "ax.set_xlabel(\"Tempo\")\n",
        "ax.set_ylabel(\"Contagem\")\n",
        "ax.set_title(\"Tempo de Resposta - Janeiro/2019\", fontsize=16)\n",
        "ax.set_ylim(0, 15000)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}