Employee_Analysis.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyPNI8g61rsbfuL6IMFVKWs8",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/arexdevson/Metrics/blob/main/Employee_Analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Análise de Colaboradores / Seus comportamentos / Suas Caracteristicas\n",
        "\n"
      ],
      "metadata": {
        "id": "S37887yYB2BW"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Inicialmente quero subir o arquivo, analisar pontos faltantes ou não, enxergar colunas categóricas ou numéricas, pegar estatisticas gerais"
      ],
      "metadata": {
        "id": "RZwI38MSCL83"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Dicionário dos dados:\n",
        "<br>\n",
        "\n",
        "Education\n",
        "1 'Below College' <br>\n",
        "2 'College' <br>\n",
        "3 'Bachelor' <br>\n",
        "4 'Master' <br>\n",
        "5 'Doctor' <br>\n",
        "\n",
        "<br>\n",
        "\n",
        "EnvironmentSatisfaction<br>\n",
        "1 'Low'<br>\n",
        "2 'Medium'<br>\n",
        "3 'High'<br>\n",
        "4 'Very High'<br>\n",
        "\n",
        "JobInvolvement<br>\n",
        "1 'Low'<br>\n",
        "2 'Medium'<br>\n",
        "3 'High'<br>\n",
        "4 'Very High'<br>\n",
        "\n",
        "JobSatisfaction<br>\n",
        "1 'Low'<br>\n",
        "2 'Medium'<br>\n",
        "3 'High'<br>\n",
        "4 'Very High'<br>\n",
        "\n",
        "PerformanceRating<br>\n",
        "1 'Low'<br>\n",
        "2 'Good'<br>\n",
        "3 'Excellent'<br>\n",
        "4 'Outstanding'<br>\n",
        "\n",
        "RelationshipSatisfaction<br>\n",
        "1 'Low'<br>\n",
        "2 'Medium'<br>\n",
        "3 'High'<br>\n",
        "4 'Very High'<br>\n",
        "\n",
        "WorkLifeBalance<br>\n",
        "1 'Bad'<br>\n",
        "2 'Good'<br>\n",
        "3 'Better'<br>\n",
        "4 'Best'<br>\n"
      ],
      "metadata": {
        "id": "TIDyDfYGDVaq"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Leitura do Arquivo / Importação das bibliotecas"
      ],
      "metadata": {
        "id": "kso8geOA-r-9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Subindo o arquivo\n",
        "#G:\\Meu Drive\\Registros\\Geral\\PycharmProjects\\Github_Projects\\Data Analysis\\Projeto_01\n",
        "\n",
        "#Manusear os dataframes \n",
        "import pandas as pd\n",
        "\n",
        "#criação de gráfcos\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import plotly.express as px\n",
        "\n",
        "\n",
        "df = pd.read_csv('/content/HR Employee Attrition.csv',sep=',')"
      ],
      "metadata": {
        "id": "a40Qs_sICdQR"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#visualização dos dados iniciais\n",
        "df.head()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "GFUwB0qUDDQQ",
        "outputId": "b33d4ac4-e257-4250-b6ca-68be476ef65a"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Age Attrition     BusinessTravel  DailyRate              Department  \\\n",
              "0   41       Yes      Travel_Rarely       1102                   Sales   \n",
              "1   49        No  Travel_Frequently        279  Research & Development   \n",
              "2   37       Yes      Travel_Rarely       1373  Research & Development   \n",
              "3   33        No  Travel_Frequently       1392  Research & Development   \n",
              "4   27        No      Travel_Rarely        591  Research & Development   \n",
              "\n",
              "   DistanceFromHome  Education EducationField  EmployeeCount  EmployeeNumber  \\\n",
              "0                 1          2  Life Sciences              1               1   \n",
              "1                 8          1  Life Sciences              1               2   \n",
              "2                 2          2          Other              1               4   \n",
              "3                 3          4  Life Sciences              1               5   \n",
              "4                 2          1        Medical              1               7   \n",
              "\n",
              "   ...  RelationshipSatisfaction StandardHours  StockOptionLevel  \\\n",
              "0  ...                         1            80                 0   \n",
              "1  ...                         4            80                 1   \n",
              "2  ...                         2            80                 0   \n",
              "3  ...                         3            80                 0   \n",
              "4  ...                         4            80                 1   \n",
              "\n",
              "   TotalWorkingYears  TrainingTimesLastYear WorkLifeBalance  YearsAtCompany  \\\n",
              "0                  8                      0               1               6   \n",
              "1                 10                      3               3              10   \n",
              "2                  7                      3               3               0   \n",
              "3                  8                      3               3               8   \n",
              "4                  6                      3               3               2   \n",
              "\n",
              "  YearsInCurrentRole  YearsSinceLastPromotion  YearsWithCurrManager  \n",
              "0                  4                        0                     5  \n",
              "1                  7                        1                     7  \n",
              "2                  0                        0                     0  \n",
              "3                  7                        3                     0  \n",
              "4                  2                        2                     2  \n",
              "\n",
              "[5 rows x 35 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4c52c401-0f55-43ec-aa26-b6dd0985a8d1\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Age</th>\n",
              "      <th>Attrition</th>\n",
              "      <th>BusinessTravel</th>\n",
              "      <th>DailyRate</th>\n",
              "      <th>Department</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
              "      <th>EducationField</th>\n",
              "      <th>EmployeeCount</th>\n",
              "      <th>EmployeeNumber</th>\n",
              "      <th>...</th>\n",
              "      <th>RelationshipSatisfaction</th>\n",
              "      <th>StandardHours</th>\n",
              "      <th>StockOptionLevel</th>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <th>WorkLifeBalance</th>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <th>YearsInCurrentRole</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <th>YearsWithCurrManager</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>41</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>1102</td>\n",
              "      <td>Sales</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>49</td>\n",
              "      <td>No</td>\n",
              "      <td>Travel_Frequently</td>\n",
              "      <td>279</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>37</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>1373</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>Other</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>33</td>\n",
              "      <td>No</td>\n",
              "      <td>Travel_Frequently</td>\n",
              "      <td>1392</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>27</td>\n",
              "      <td>No</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>591</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Medical</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 35 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4c52c401-0f55-43ec-aa26-b6dd0985a8d1')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4c52c401-0f55-43ec-aa26-b6dd0985a8d1 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4c52c401-0f55-43ec-aa26-b6dd0985a8d1');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df.columns\n",
        "\n",
        "# perguntas\n",
        "# 1 - há uma relação entre a idade e a média da satisfação no emprego?\n",
        "# 2 - pessoas do ramo medico possuem mais relatos de desgaste do que os outros campos?\n",
        "# 3 - qual é a proporção de pessoal com desgaste ou não no dataset inteiro?\n",
        "# 4 - pagamento mensal por departamento?\n",
        "# 5 - quanto maior o tempo na empresa maior é a avaliação de performance?\n",
        "# 6 - qual é a media de anos desde a ultima promoção por genero?\n",
        "# 7 - qual é a distribuição do equilibrio da vida no trabalho por nivel do cargo?\n",
        "# 8 - pessoas que viajam mais a trabalho são menos satisfeitas em seus relacionamentos?\n",
        "# 9 - quais são as top 3 funções que ganham mais em sua receita mensal\n",
        "# 10 - distribuição do grau de satisfação por departamento\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RwFhr-TUDEKq",
        "outputId": "96fbfb48-6d41-469b-971b-5b900c33c60e"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Age', 'Attrition', 'BusinessTravel', 'DailyRate', 'Department',\n",
              "       'DistanceFromHome', 'Education', 'EducationField', 'EmployeeCount',\n",
              "       'EmployeeNumber', 'EnvironmentSatisfaction', 'Gender', 'HourlyRate',\n",
              "       'JobInvolvement', 'JobLevel', 'JobRole', 'JobSatisfaction',\n",
              "       'MaritalStatus', 'MonthlyIncome', 'MonthlyRate', 'NumCompaniesWorked',\n",
              "       'Over18', 'OverTime', 'PercentSalaryHike', 'PerformanceRating',\n",
              "       'RelationshipSatisfaction', 'StandardHours', 'StockOptionLevel',\n",
              "       'TotalWorkingYears', 'TrainingTimesLastYear', 'WorkLifeBalance',\n",
              "       'YearsAtCompany', 'YearsInCurrentRole', 'YearsSinceLastPromotion',\n",
              "       'YearsWithCurrManager'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Avaliação do Dataset:"
      ],
      "metadata": {
        "id": "d9DYy6Yd-QD0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xKwSVHyb-ShA",
        "outputId": "9c2eebb5-076e-46db-d0e8-7818cb26512f"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1470 entries, 0 to 1469\n",
            "Data columns (total 35 columns):\n",
            " #   Column                    Non-Null Count  Dtype \n",
            "---  ------                    --------------  ----- \n",
            " 0   Age                       1470 non-null   int64 \n",
            " 1   Attrition                 1470 non-null   object\n",
            " 2   BusinessTravel            1470 non-null   object\n",
            " 3   DailyRate                 1470 non-null   int64 \n",
            " 4   Department                1470 non-null   object\n",
            " 5   DistanceFromHome          1470 non-null   int64 \n",
            " 6   Education                 1470 non-null   int64 \n",
            " 7   EducationField            1470 non-null   object\n",
            " 8   EmployeeCount             1470 non-null   int64 \n",
            " 9   EmployeeNumber            1470 non-null   int64 \n",
            " 10  EnvironmentSatisfaction   1470 non-null   int64 \n",
            " 11  Gender                    1470 non-null   object\n",
            " 12  HourlyRate                1470 non-null   int64 \n",
            " 13  JobInvolvement            1470 non-null   int64 \n",
            " 14  JobLevel                  1470 non-null   int64 \n",
            " 15  JobRole                   1470 non-null   object\n",
            " 16  JobSatisfaction           1470 non-null   int64 \n",
            " 17  MaritalStatus             1470 non-null   object\n",
            " 18  MonthlyIncome             1470 non-null   int64 \n",
            " 19  MonthlyRate               1470 non-null   int64 \n",
            " 20  NumCompaniesWorked        1470 non-null   int64 \n",
            " 21  Over18                    1470 non-null   object\n",
            " 22  OverTime                  1470 non-null   object\n",
            " 23  PercentSalaryHike         1470 non-null   int64 \n",
            " 24  PerformanceRating         1470 non-null   int64 \n",
            " 25  RelationshipSatisfaction  1470 non-null   int64 \n",
            " 26  StandardHours             1470 non-null   int64 \n",
            " 27  StockOptionLevel          1470 non-null   int64 \n",
            " 28  TotalWorkingYears         1470 non-null   int64 \n",
            " 29  TrainingTimesLastYear     1470 non-null   int64 \n",
            " 30  WorkLifeBalance           1470 non-null   int64 \n",
            " 31  YearsAtCompany            1470 non-null   int64 \n",
            " 32  YearsInCurrentRole        1470 non-null   int64 \n",
            " 33  YearsSinceLastPromotion   1470 non-null   int64 \n",
            " 34  YearsWithCurrManager      1470 non-null   int64 \n",
            "dtypes: int64(26), object(9)\n",
            "memory usage: 402.1+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LbV9i9Jc-SiY",
        "outputId": "9b24ab28-3718-47a6-cb26-8a88a15e13db"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Age                         0\n",
              "Attrition                   0\n",
              "BusinessTravel              0\n",
              "DailyRate                   0\n",
              "Department                  0\n",
              "DistanceFromHome            0\n",
              "Education                   0\n",
              "EducationField              0\n",
              "EmployeeCount               0\n",
              "EmployeeNumber              0\n",
              "EnvironmentSatisfaction     0\n",
              "Gender                      0\n",
              "HourlyRate                  0\n",
              "JobInvolvement              0\n",
              "JobLevel                    0\n",
              "JobRole                     0\n",
              "JobSatisfaction             0\n",
              "MaritalStatus               0\n",
              "MonthlyIncome               0\n",
              "MonthlyRate                 0\n",
              "NumCompaniesWorked          0\n",
              "Over18                      0\n",
              "OverTime                    0\n",
              "PercentSalaryHike           0\n",
              "PerformanceRating           0\n",
              "RelationshipSatisfaction    0\n",
              "StandardHours               0\n",
              "StockOptionLevel            0\n",
              "TotalWorkingYears           0\n",
              "TrainingTimesLastYear       0\n",
              "WorkLifeBalance             0\n",
              "YearsAtCompany              0\n",
              "YearsInCurrentRole          0\n",
              "YearsSinceLastPromotion     0\n",
              "YearsWithCurrManager        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "WW7HGqIA-eGH",
        "outputId": "94fe631c-e61b-4411-be99-5cbc1fa8195b"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               Age    DailyRate  DistanceFromHome    Education  EmployeeCount  \\\n",
              "count  1470.000000  1470.000000       1470.000000  1470.000000         1470.0   \n",
              "mean     36.923810   802.485714          9.192517     2.912925            1.0   \n",
              "std       9.135373   403.509100          8.106864     1.024165            0.0   \n",
              "min      18.000000   102.000000          1.000000     1.000000            1.0   \n",
              "25%      30.000000   465.000000          2.000000     2.000000            1.0   \n",
              "50%      36.000000   802.000000          7.000000     3.000000            1.0   \n",
              "75%      43.000000  1157.000000         14.000000     4.000000            1.0   \n",
              "max      60.000000  1499.000000         29.000000     5.000000            1.0   \n",
              "\n",
              "       EmployeeNumber  EnvironmentSatisfaction   HourlyRate  JobInvolvement  \\\n",
              "count     1470.000000              1470.000000  1470.000000     1470.000000   \n",
              "mean      1024.865306                 2.721769    65.891156        2.729932   \n",
              "std        602.024335                 1.093082    20.329428        0.711561   \n",
              "min          1.000000                 1.000000    30.000000        1.000000   \n",
              "25%        491.250000                 2.000000    48.000000        2.000000   \n",
              "50%       1020.500000                 3.000000    66.000000        3.000000   \n",
              "75%       1555.750000                 4.000000    83.750000        3.000000   \n",
              "max       2068.000000                 4.000000   100.000000        4.000000   \n",
              "\n",
              "          JobLevel  ...  RelationshipSatisfaction  StandardHours  \\\n",
              "count  1470.000000  ...               1470.000000         1470.0   \n",
              "mean      2.063946  ...                  2.712245           80.0   \n",
              "std       1.106940  ...                  1.081209            0.0   \n",
              "min       1.000000  ...                  1.000000           80.0   \n",
              "25%       1.000000  ...                  2.000000           80.0   \n",
              "50%       2.000000  ...                  3.000000           80.0   \n",
              "75%       3.000000  ...                  4.000000           80.0   \n",
              "max       5.000000  ...                  4.000000           80.0   \n",
              "\n",
              "       StockOptionLevel  TotalWorkingYears  TrainingTimesLastYear  \\\n",
              "count       1470.000000        1470.000000            1470.000000   \n",
              "mean           0.793878          11.279592               2.799320   \n",
              "std            0.852077           7.780782               1.289271   \n",
              "min            0.000000           0.000000               0.000000   \n",
              "25%            0.000000           6.000000               2.000000   \n",
              "50%            1.000000          10.000000               3.000000   \n",
              "75%            1.000000          15.000000               3.000000   \n",
              "max            3.000000          40.000000               6.000000   \n",
              "\n",
              "       WorkLifeBalance  YearsAtCompany  YearsInCurrentRole  \\\n",
              "count      1470.000000     1470.000000         1470.000000   \n",
              "mean          2.761224        7.008163            4.229252   \n",
              "std           0.706476        6.126525            3.623137   \n",
              "min           1.000000        0.000000            0.000000   \n",
              "25%           2.000000        3.000000            2.000000   \n",
              "50%           3.000000        5.000000            3.000000   \n",
              "75%           3.000000        9.000000            7.000000   \n",
              "max           4.000000       40.000000           18.000000   \n",
              "\n",
              "       YearsSinceLastPromotion  YearsWithCurrManager  \n",
              "count              1470.000000           1470.000000  \n",
              "mean                  2.187755              4.123129  \n",
              "std                   3.222430              3.568136  \n",
              "min                   0.000000              0.000000  \n",
              "25%                   0.000000              2.000000  \n",
              "50%                   1.000000              3.000000  \n",
              "75%                   3.000000              7.000000  \n",
              "max                  15.000000             17.000000  \n",
              "\n",
              "[8 rows x 26 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-54463842-30e8-4302-8557-5626a85972ed\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Age</th>\n",
              "      <th>DailyRate</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
              "      <th>EmployeeCount</th>\n",
              "      <th>EmployeeNumber</th>\n",
              "      <th>EnvironmentSatisfaction</th>\n",
              "      <th>HourlyRate</th>\n",
              "      <th>JobInvolvement</th>\n",
              "      <th>JobLevel</th>\n",
              "      <th>...</th>\n",
              "      <th>RelationshipSatisfaction</th>\n",
              "      <th>StandardHours</th>\n",
              "      <th>StockOptionLevel</th>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <th>WorkLifeBalance</th>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <th>YearsInCurrentRole</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <th>YearsWithCurrManager</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.0</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.0</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "      <td>1470.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>36.923810</td>\n",
              "      <td>802.485714</td>\n",
              "      <td>9.192517</td>\n",
              "      <td>2.912925</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1024.865306</td>\n",
              "      <td>2.721769</td>\n",
              "      <td>65.891156</td>\n",
              "      <td>2.729932</td>\n",
              "      <td>2.063946</td>\n",
              "      <td>...</td>\n",
              "      <td>2.712245</td>\n",
              "      <td>80.0</td>\n",
              "      <td>0.793878</td>\n",
              "      <td>11.279592</td>\n",
              "      <td>2.799320</td>\n",
              "      <td>2.761224</td>\n",
              "      <td>7.008163</td>\n",
              "      <td>4.229252</td>\n",
              "      <td>2.187755</td>\n",
              "      <td>4.123129</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>9.135373</td>\n",
              "      <td>403.509100</td>\n",
              "      <td>8.106864</td>\n",
              "      <td>1.024165</td>\n",
              "      <td>0.0</td>\n",
              "      <td>602.024335</td>\n",
              "      <td>1.093082</td>\n",
              "      <td>20.329428</td>\n",
              "      <td>0.711561</td>\n",
              "      <td>1.106940</td>\n",
              "      <td>...</td>\n",
              "      <td>1.081209</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.852077</td>\n",
              "      <td>7.780782</td>\n",
              "      <td>1.289271</td>\n",
              "      <td>0.706476</td>\n",
              "      <td>6.126525</td>\n",
              "      <td>3.623137</td>\n",
              "      <td>3.222430</td>\n",
              "      <td>3.568136</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>18.000000</td>\n",
              "      <td>102.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>30.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>80.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>30.000000</td>\n",
              "      <td>465.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>491.250000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>80.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>36.000000</td>\n",
              "      <td>802.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1020.500000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>66.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>80.0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>43.000000</td>\n",
              "      <td>1157.000000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1555.750000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>83.750000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>80.0</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>7.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>60.000000</td>\n",
              "      <td>1499.000000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2068.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>80.0</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>17.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 26 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-54463842-30e8-4302-8557-5626a85972ed')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-54463842-30e8-4302-8557-5626a85972ed button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-54463842-30e8-4302-8557-5626a85972ed');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Análise/Exploração dos Dados\n"
      ],
      "metadata": {
        "id": "ZX4N8UXQ-gYl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# 1 - há uma relação entre a idade e a média da satisfação no emprego?\n",
        "\n",
        "quest1 = df.groupby('Age')['JobSatisfaction'].mean().reset_index()\n",
        "quest1\n"
      ],
      "metadata": {
        "id": "ysc8mOh6Ei5m",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "a3ae14a2-fc11-4767-990f-0c0eed516b64"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Age  JobSatisfaction\n",
              "0    18         3.250000\n",
              "1    19         2.555556\n",
              "2    20         2.636364\n",
              "3    21         2.692308\n",
              "4    22         2.937500\n",
              "5    23         2.428571\n",
              "6    24         2.769231\n",
              "7    25         2.692308\n",
              "8    26         2.769231\n",
              "9    27         2.604167\n",
              "10   28         2.645833\n",
              "11   29         2.735294\n",
              "12   30         2.700000\n",
              "13   31         2.797101\n",
              "14   32         2.803279\n",
              "15   33         2.706897\n",
              "16   34         2.792208\n",
              "17   35         2.769231\n",
              "18   36         2.695652\n",
              "19   37         2.800000\n",
              "20   38         2.844828\n",
              "21   39         2.761905\n",
              "22   40         2.614035\n",
              "23   41         2.500000\n",
              "24   42         2.608696\n",
              "25   43         3.156250\n",
              "26   44         2.818182\n",
              "27   45         2.634146\n",
              "28   46         2.454545\n",
              "29   47         2.916667\n",
              "30   48         2.842105\n",
              "31   49         2.333333\n",
              "32   50         2.700000\n",
              "33   51         2.789474\n",
              "34   52         2.888889\n",
              "35   53         2.947368\n",
              "36   54         2.777778\n",
              "37   55         2.636364\n",
              "38   56         2.285714\n",
              "39   57         3.500000\n",
              "40   58         2.642857\n",
              "41   59         3.200000\n",
              "42   60         2.200000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3041a0c7-695a-4b46-ae11-77511204ea7a\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Age</th>\n",
              "      <th>JobSatisfaction</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>18</td>\n",
              "      <td>3.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>19</td>\n",
              "      <td>2.555556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>20</td>\n",
              "      <td>2.636364</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>21</td>\n",
              "      <td>2.692308</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>22</td>\n",
              "      <td>2.937500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>23</td>\n",
              "      <td>2.428571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>24</td>\n",
              "      <td>2.769231</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>25</td>\n",
              "      <td>2.692308</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>26</td>\n",
              "      <td>2.769231</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>27</td>\n",
              "      <td>2.604167</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>28</td>\n",
              "      <td>2.645833</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>29</td>\n",
              "      <td>2.735294</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>30</td>\n",
              "      <td>2.700000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>31</td>\n",
              "      <td>2.797101</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>32</td>\n",
              "      <td>2.803279</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>33</td>\n",
              "      <td>2.706897</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>34</td>\n",
              "      <td>2.792208</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>35</td>\n",
              "      <td>2.769231</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>36</td>\n",
              "      <td>2.695652</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>37</td>\n",
              "      <td>2.800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>38</td>\n",
              "      <td>2.844828</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>39</td>\n",
              "      <td>2.761905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>40</td>\n",
              "      <td>2.614035</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>41</td>\n",
              "      <td>2.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>42</td>\n",
              "      <td>2.608696</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>43</td>\n",
              "      <td>3.156250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>44</td>\n",
              "      <td>2.818182</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>45</td>\n",
              "      <td>2.634146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>46</td>\n",
              "      <td>2.454545</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>47</td>\n",
              "      <td>2.916667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>48</td>\n",
              "      <td>2.842105</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>49</td>\n",
              "      <td>2.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>50</td>\n",
              "      <td>2.700000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>51</td>\n",
              "      <td>2.789474</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>52</td>\n",
              "      <td>2.888889</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>53</td>\n",
              "      <td>2.947368</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>54</td>\n",
              "      <td>2.777778</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>55</td>\n",
              "      <td>2.636364</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>56</td>\n",
              "      <td>2.285714</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>57</td>\n",
              "      <td>3.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>58</td>\n",
              "      <td>2.642857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>59</td>\n",
              "      <td>3.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>60</td>\n",
              "      <td>2.200000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3041a0c7-695a-4b46-ae11-77511204ea7a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3041a0c7-695a-4b46-ae11-77511204ea7a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-3041a0c7-695a-4b46-ae11-77511204ea7a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "quant_idade = df['Age'].value_counts().reset_index().sort_values(by='index').rename(columns = {'index':'Idade','Age':'Count Age'})\n",
        "quant_idade"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "G00FFyuP3mx0",
        "outputId": "7395f412-bae3-44d0-b061-6324e3b0c008"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Idade  Count Age\n",
              "40     18          8\n",
              "39     19          9\n",
              "37     20         11\n",
              "36     21         13\n",
              "32     22         16\n",
              "34     23         14\n",
              "23     24         26\n",
              "22     25         26\n",
              "17     26         39\n",
              "11     27         48\n",
              "12     28         48\n",
              "4      29         68\n",
              "6      30         60\n",
              "3      31         69\n",
              "5      32         61\n",
              "7      33         58\n",
              "1      34         77\n",
              "0      35         78\n",
              "2      36         69\n",
              "10     37         50\n",
              "8      38         58\n",
              "14     39         42\n",
              "9      40         57\n",
              "16     41         40\n",
              "13     42         46\n",
              "20     43         32\n",
              "18     44         33\n",
              "15     45         41\n",
              "19     46         33\n",
              "25     47         24\n",
              "29     48         19\n",
              "24     49         24\n",
              "21     50         30\n",
              "27     51         19\n",
              "31     52         18\n",
              "28     53         19\n",
              "30     54         18\n",
              "26     55         22\n",
              "33     56         14\n",
              "42     57          4\n",
              "35     58         14\n",
              "38     59         10\n",
              "41     60          5"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b3a9f994-3568-4d76-b139-98c22d88180b\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Idade</th>\n",
              "      <th>Count Age</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>18</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>19</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>20</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>21</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>22</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>23</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>24</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>25</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>26</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>27</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>28</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>29</td>\n",
              "      <td>68</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>30</td>\n",
              "      <td>60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>31</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>32</td>\n",
              "      <td>61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>33</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>34</td>\n",
              "      <td>77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>35</td>\n",
              "      <td>78</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>36</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>37</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>38</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>39</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>40</td>\n",
              "      <td>57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>41</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>42</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>43</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>44</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>45</td>\n",
              "      <td>41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>46</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>47</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>48</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>49</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>50</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>51</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>52</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>53</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>54</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>55</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>56</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>57</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>58</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>59</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>60</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b3a9f994-3568-4d76-b139-98c22d88180b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b3a9f994-3568-4d76-b139-98c22d88180b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b3a9f994-3568-4d76-b139-98c22d88180b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig,ax = plt.subplots(figsize=(12,8))\n",
        "sns.countplot(x=df['Age'])\n",
        "ax.set_title('Distribuição das idades')\n",
        "ax.set_ylabel('Contagem')\n",
        "ax.set_xlabel('Idade')\n",
        "for c in range(0,len(quant_idade['Count Age'])):\n",
        "  ax.annotate(quant_idade['Count Age'][c],(quant_idade['Idade'][c]-18.3,quant_idade['Count Age'][c]))\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        },
        "id": "Mph3938t2L_b",
        "outputId": "ae2ee3c7-d93e-49cf-d4c6-e4da8e249711"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "fig = px.histogram(x=quest1['Age'],y=quest1['JobSatisfaction'],histfunc='avg',nbins=20)\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "ihfok-ncjzXz",
        "outputId": "ef3e2e9f-9b75-4328-a34e-eb56f5a19660"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.8.3.min.js\"></script>                <div id=\"81631915-6c13-417c-b724-43f6f685af66\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"81631915-6c13-417c-b724-43f6f685af66\")) {                    Plotly.newPlot(                        \"81631915-6c13-417c-b724-43f6f685af66\",                        [{\"alignmentgroup\":\"True\",\"bingroup\":\"x\",\"histfunc\":\"avg\",\"hovertemplate\":\"x=%{x}<br>avg of y=%{y}<extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"\",\"nbinsx\":20,\"offsetgroup\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"x\":[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60],\"xaxis\":\"x\",\"y\":[3.25,2.5555555555555554,2.6363636363636362,2.6923076923076925,2.9375,2.4285714285714284,2.769230769230769,2.6923076923076925,2.769230769230769,2.6041666666666665,2.6458333333333335,2.735294117647059,2.7,2.7971014492753623,2.80327868852459,2.706896551724138,2.792207792207792,2.769230769230769,2.6956521739130435,2.8,2.8448275862068964,2.761904761904762,2.6140350877192984,2.5,2.608695652173913,3.15625,2.8181818181818183,2.6341463414634148,2.4545454545454546,2.9166666666666665,2.8421052631578947,2.3333333333333335,2.7,2.789473684210526,2.888888888888889,2.9473684210526314,2.7777777777777777,2.6363636363636362,2.2857142857142856,3.5,2.642857142857143,3.2,2.2],\"yaxis\":\"y\",\"type\":\"histogram\"}],                        {\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"x\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"avg of y\"}},\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60},\"barmode\":\"relative\"},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('81631915-6c13-417c-b724-43f6f685af66');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "correl = df[['Age','JobSatisfaction']].corr()\n",
        "\n",
        "dataplot = sns.heatmap(correl,cmap=\"YlGnBu\", annot=True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "tmejo9FTkUWF",
        "outputId": "562c2d60-a20c-45b3-c88e-5afe5785fc88"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Resposta:** <br>\n",
        "A idade e a satisfação no trabalho não estão diretamente ligados (correlação não possui papel influente) porém podemos perceber que dos 20-24 até 40-44 anos temos um aumento na média geral de satisfação do trabalho nessas idades e uma queda nos numeros / satisfação das pessoas acima dos 50 anos\n"
      ],
      "metadata": {
        "id": "0M_nEkvZ5o6U"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# 2 - pessoas do ramo medico possuem mais relatos de desgaste do que os outros campos?\n",
        "#forma de setar um index - .set_index('Attrition')\n",
        "df_desgaste = df.groupby(['Attrition','EducationField']).count().reset_index()\n"
      ],
      "metadata": {
        "id": "a2YpNeQK1g_8"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_desgaste = df_desgaste.loc[df_desgaste['Attrition']=='Yes']"
      ],
      "metadata": {
        "id": "IIpKV0xA66iK"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "px.bar(df_desgaste,x='EducationField',y='Education',color='EducationField')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "kO-zJNkj8jUj",
        "outputId": "0882eb59-0199-4ec0-c70e-2d5b123fb583"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.8.3.min.js\"></script>                <div id=\"6c5f4e0a-1d84-4fb4-99a1-dcace694d1dd\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"6c5f4e0a-1d84-4fb4-99a1-dcace694d1dd\")) {                    Plotly.newPlot(                        \"6c5f4e0a-1d84-4fb4-99a1-dcace694d1dd\",                        [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"EducationField=%{x}<br>Education=%{y}<extra></extra>\",\"legendgroup\":\"Human Resources\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Human Resources\",\"offsetgroup\":\"Human Resources\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Human Resources\"],\"xaxis\":\"x\",\"y\":[7],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"EducationField=%{x}<br>Education=%{y}<extra></extra>\",\"legendgroup\":\"Life Sciences\",\"marker\":{\"color\":\"#EF553B\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Life Sciences\",\"offsetgroup\":\"Life Sciences\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Life Sciences\"],\"xaxis\":\"x\",\"y\":[89],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"EducationField=%{x}<br>Education=%{y}<extra></extra>\",\"legendgroup\":\"Marketing\",\"marker\":{\"color\":\"#00cc96\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Marketing\",\"offsetgroup\":\"Marketing\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Marketing\"],\"xaxis\":\"x\",\"y\":[35],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"EducationField=%{x}<br>Education=%{y}<extra></extra>\",\"legendgroup\":\"Medical\",\"marker\":{\"color\":\"#ab63fa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Medical\",\"offsetgroup\":\"Medical\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Medical\"],\"xaxis\":\"x\",\"y\":[63],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"EducationField=%{x}<br>Education=%{y}<extra></extra>\",\"legendgroup\":\"Other\",\"marker\":{\"color\":\"#FFA15A\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Other\",\"offsetgroup\":\"Other\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Other\"],\"xaxis\":\"x\",\"y\":[11],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"EducationField=%{x}<br>Education=%{y}<extra></extra>\",\"legendgroup\":\"Technical Degree\",\"marker\":{\"color\":\"#19d3f3\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Technical Degree\",\"offsetgroup\":\"Technical Degree\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Technical Degree\"],\"xaxis\":\"x\",\"y\":[32],\"yaxis\":\"y\",\"type\":\"bar\"}],                        {\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"EducationField\"},\"categoryorder\":\"array\",\"categoryarray\":[\"Human Resources\",\"Life Sciences\",\"Marketing\",\"Medical\",\"Other\",\"Technical Degree\"]},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Education\"}},\"legend\":{\"title\":{\"text\":\"EducationField\"},\"tracegroupgap\":0},\"margin\":{\"t\":60},\"barmode\":\"relative\"},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('6c5f4e0a-1d84-4fb4-99a1-dcace694d1dd');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Resposta:** <br>\n",
        "\n",
        "O Attrition/Atrito(Desgaste) dos funcionários na area educacional médica foi o segundo maior "
      ],
      "metadata": {
        "id": "zSvNMnoi9wUk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 3 - qual é a proporção de pessoal com desgaste ou não no dataset inteiro?\n",
        "\n",
        "df_total_desgaste = df.groupby('Attrition')['Attrition'].count()\n",
        "df_total_desgaste\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vLft7tJf7jNg",
        "outputId": "d0b6fa2e-9a60-4709-dc3c-825fc4347545"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Attrition\n",
              "No     1233\n",
              "Yes     237\n",
              "Name: Attrition, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "px.pie(df_total_desgaste,values='Attrition',names=df_total_desgaste.index,title='Proporção de Desgaste')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "jyw_c5IV74Qo",
        "outputId": "b851cf55-f7cd-419d-d435-5c1b303943bc"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.8.3.min.js\"></script>                <div id=\"0e90006c-66aa-453d-87b3-1293b2f983a6\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"0e90006c-66aa-453d-87b3-1293b2f983a6\")) {                    Plotly.newPlot(                        \"0e90006c-66aa-453d-87b3-1293b2f983a6\",                        [{\"domain\":{\"x\":[0.0,1.0],\"y\":[0.0,1.0]},\"hovertemplate\":\"index=%{label}<br>Attrition=%{value}<extra></extra>\",\"labels\":[\"No\",\"Yes\"],\"legendgroup\":\"\",\"name\":\"\",\"showlegend\":true,\"values\":[1233,237],\"type\":\"pie\"}],                        {\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Propor\\u00e7\\u00e3o de Desgaste\"}},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('0e90006c-66aa-453d-87b3-1293b2f983a6');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 4 - pagamento mensal por departamento?\n",
        "\n",
        "df_monthlyincome = df.groupby('Department')['MonthlyIncome'].sum().reset_index().sort_values(by='MonthlyIncome',ascending=False)\n",
        "df_monthlyincome"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "ovthljgXFPkD",
        "outputId": "9b4b896c-6bb4-4f0c-81d3-5ee709c8103b"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               Department  MonthlyIncome\n",
              "1  Research & Development        6036284\n",
              "2                   Sales        3103791\n",
              "0         Human Resources         419234"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-657c48d6-108b-4dd9-943f-3d6ff701de02\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Department</th>\n",
              "      <th>MonthlyIncome</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>6036284</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Sales</td>\n",
              "      <td>3103791</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Human Resources</td>\n",
              "      <td>419234</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-657c48d6-108b-4dd9-943f-3d6ff701de02')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-657c48d6-108b-4dd9-943f-3d6ff701de02 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-657c48d6-108b-4dd9-943f-3d6ff701de02');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "px.bar(df_monthlyincome,x='MonthlyIncome',y='Department',color='Department',orientation='h')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "WN3sc_KZGJ7A",
        "outputId": "a95192f2-44cd-4dbd-97e8-eb5ee0ba0c81"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.8.3.min.js\"></script>                <div id=\"5a0d0741-e98a-48b9-af86-90d173611f4d\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"5a0d0741-e98a-48b9-af86-90d173611f4d\")) {                    Plotly.newPlot(                        \"5a0d0741-e98a-48b9-af86-90d173611f4d\",                        [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Department=%{y}<br>MonthlyIncome=%{x}<extra></extra>\",\"legendgroup\":\"Research & Development\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Research & Development\",\"offsetgroup\":\"Research & Development\",\"orientation\":\"h\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[6036284],\"xaxis\":\"x\",\"y\":[\"Research & Development\"],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Department=%{y}<br>MonthlyIncome=%{x}<extra></extra>\",\"legendgroup\":\"Sales\",\"marker\":{\"color\":\"#EF553B\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Sales\",\"offsetgroup\":\"Sales\",\"orientation\":\"h\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[3103791],\"xaxis\":\"x\",\"y\":[\"Sales\"],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Department=%{y}<br>MonthlyIncome=%{x}<extra></extra>\",\"legendgroup\":\"Human Resources\",\"marker\":{\"color\":\"#00cc96\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Human Resources\",\"offsetgroup\":\"Human Resources\",\"orientation\":\"h\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[419234],\"xaxis\":\"x\",\"y\":[\"Human Resources\"],\"yaxis\":\"y\",\"type\":\"bar\"}],                        {\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"MonthlyIncome\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Department\"},\"categoryorder\":\"array\",\"categoryarray\":[\"Human Resources\",\"Sales\",\"Research & Development\"]},\"legend\":{\"title\":{\"text\":\"Department\"},\"tracegroupgap\":0},\"margin\":{\"t\":60},\"barmode\":\"relative\"},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('5a0d0741-e98a-48b9-af86-90d173611f4d');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#bonus, soma dos pagamentos mensais por idade\n",
        "df_idade_monthlyincome = df.groupby('Age')['MonthlyIncome'].sum().reset_index()\n",
        "px.line(df_idade_monthlyincome,x='Age',y='MonthlyIncome')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "hFy3Y-grGJ8d",
        "outputId": "3813e128-98d6-436c-df42-e9eb9caa6af1"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.8.3.min.js\"></script>                <div id=\"13fb2081-8b68-4c96-90b7-0e6b2b0c7780\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"13fb2081-8b68-4c96-90b7-0e6b2b0c7780\")) {                    Plotly.newPlot(                        \"13fb2081-8b68-4c96-90b7-0e6b2b0c7780\",                        [{\"hovertemplate\":\"Age=%{x}<br>MonthlyIncome=%{y}<extra></extra>\",\"legendgroup\":\"\",\"line\":{\"color\":\"#636efa\",\"dash\":\"solid\"},\"marker\":{\"symbol\":\"circle\"},\"mode\":\"lines\",\"name\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"x\":[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60],\"xaxis\":\"x\",\"y\":[12147,18675,27933,32389,47200,35215,84342,107764,137728,201140,187432,311740,288891,381252,310640,319029,405730,423172,385773,292693,331852,343701,438954,335193,371443,270238,234773,320260,378113,214354,177551,238869,380915,183017,190924,219719,195765,290492,115477,35212,149881,80381,51340],\"yaxis\":\"y\",\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Age\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"MonthlyIncome\"}},\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60}},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('13fb2081-8b68-4c96-90b7-0e6b2b0c7780');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 5 - quanto maior o tempo na empresa maior é a avaliação de performance?\n",
        "\n",
        "\n",
        "#PerformanceRating\n",
        "#1 'Low'\n",
        "#2 'Good'\n",
        "#3 'Excellent'\n",
        "#4 'Outstanding'\n",
        "\n",
        "df['PerformanceRating'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uR4xBoLY8DLL",
        "outputId": "fbd9836c-b08d-40c3-c12d-85d5e6b0c683"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3    1244\n",
              "4     226\n",
              "Name: PerformanceRating, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dic_performance = {1:'Low',2:'Good',3:'Excellent',4:'Outstanding'}\n",
        "\n",
        "df['PerformanceRating'] = df['PerformanceRating'].map(dic_performance)\n",
        "df['PerformanceRating'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8tK2qDAfBlW6",
        "outputId": "ffbbbacd-8cd2-46e3-e38c-f6bf7b43c77e"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Excellent      1244\n",
              "Outstanding     226\n",
              "Name: PerformanceRating, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_performance = df.groupby(['YearsAtCompany','PerformanceRating']).count()\n",
        "df_performance"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "id": "x7bcqwj4842A",
        "outputId": "f49a1179-2d01-44b5-ef93-8ce6a95d1ec3"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                  Age  Attrition  BusinessTravel  DailyRate  \\\n",
              "YearsAtCompany PerformanceRating                                              \n",
              "0              Excellent           37         37              37         37   \n",
              "               Outstanding          7          7               7          7   \n",
              "1              Excellent          142        142             142        142   \n",
              "               Outstanding         29         29              29         29   \n",
              "2              Excellent          116        116             116        116   \n",
              "...                               ...        ...             ...        ...   \n",
              "34             Excellent            1          1               1          1   \n",
              "36             Excellent            1          1               1          1   \n",
              "               Outstanding          1          1               1          1   \n",
              "37             Excellent            1          1               1          1   \n",
              "40             Excellent            1          1               1          1   \n",
              "\n",
              "                                  Department  DistanceFromHome  Education  \\\n",
              "YearsAtCompany PerformanceRating                                            \n",
              "0              Excellent                  37                37         37   \n",
              "               Outstanding                 7                 7          7   \n",
              "1              Excellent                 142               142        142   \n",
              "               Outstanding                29                29         29   \n",
              "2              Excellent                 116               116        116   \n",
              "...                                      ...               ...        ...   \n",
              "34             Excellent                   1                 1          1   \n",
              "36             Excellent                   1                 1          1   \n",
              "               Outstanding                 1                 1          1   \n",
              "37             Excellent                   1                 1          1   \n",
              "40             Excellent                   1                 1          1   \n",
              "\n",
              "                                  EducationField  EmployeeCount  \\\n",
              "YearsAtCompany PerformanceRating                                  \n",
              "0              Excellent                      37             37   \n",
              "               Outstanding                     7              7   \n",
              "1              Excellent                     142            142   \n",
              "               Outstanding                    29             29   \n",
              "2              Excellent                     116            116   \n",
              "...                                          ...            ...   \n",
              "34             Excellent                       1              1   \n",
              "36             Excellent                       1              1   \n",
              "               Outstanding                     1              1   \n",
              "37             Excellent                       1              1   \n",
              "40             Excellent                       1              1   \n",
              "\n",
              "                                  EmployeeNumber  ...  PercentSalaryHike  \\\n",
              "YearsAtCompany PerformanceRating                  ...                      \n",
              "0              Excellent                      37  ...                 37   \n",
              "               Outstanding                     7  ...                  7   \n",
              "1              Excellent                     142  ...                142   \n",
              "               Outstanding                    29  ...                 29   \n",
              "2              Excellent                     116  ...                116   \n",
              "...                                          ...  ...                ...   \n",
              "34             Excellent                       1  ...                  1   \n",
              "36             Excellent                       1  ...                  1   \n",
              "               Outstanding                     1  ...                  1   \n",
              "37             Excellent                       1  ...                  1   \n",
              "40             Excellent                       1  ...                  1   \n",
              "\n",
              "                                  RelationshipSatisfaction  StandardHours  \\\n",
              "YearsAtCompany PerformanceRating                                            \n",
              "0              Excellent                                37             37   \n",
              "               Outstanding                               7              7   \n",
              "1              Excellent                               142            142   \n",
              "               Outstanding                              29             29   \n",
              "2              Excellent                               116            116   \n",
              "...                                                    ...            ...   \n",
              "34             Excellent                                 1              1   \n",
              "36             Excellent                                 1              1   \n",
              "               Outstanding                               1              1   \n",
              "37             Excellent                                 1              1   \n",
              "40             Excellent                                 1              1   \n",
              "\n",
              "                                  StockOptionLevel  TotalWorkingYears  \\\n",
              "YearsAtCompany PerformanceRating                                        \n",
              "0              Excellent                        37                 37   \n",
              "               Outstanding                       7                  7   \n",
              "1              Excellent                       142                142   \n",
              "               Outstanding                      29                 29   \n",
              "2              Excellent                       116                116   \n",
              "...                                            ...                ...   \n",
              "34             Excellent                         1                  1   \n",
              "36             Excellent                         1                  1   \n",
              "               Outstanding                       1                  1   \n",
              "37             Excellent                         1                  1   \n",
              "40             Excellent                         1                  1   \n",
              "\n",
              "                                  TrainingTimesLastYear  WorkLifeBalance  \\\n",
              "YearsAtCompany PerformanceRating                                           \n",
              "0              Excellent                             37               37   \n",
              "               Outstanding                            7                7   \n",
              "1              Excellent                            142              142   \n",
              "               Outstanding                           29               29   \n",
              "2              Excellent                            116              116   \n",
              "...                                                 ...              ...   \n",
              "34             Excellent                              1                1   \n",
              "36             Excellent                              1                1   \n",
              "               Outstanding                            1                1   \n",
              "37             Excellent                              1                1   \n",
              "40             Excellent                              1                1   \n",
              "\n",
              "                                  YearsInCurrentRole  YearsSinceLastPromotion  \\\n",
              "YearsAtCompany PerformanceRating                                                \n",
              "0              Excellent                          37                       37   \n",
              "               Outstanding                         7                        7   \n",
              "1              Excellent                         142                      142   \n",
              "               Outstanding                        29                       29   \n",
              "2              Excellent                         116                      116   \n",
              "...                                              ...                      ...   \n",
              "34             Excellent                           1                        1   \n",
              "36             Excellent                           1                        1   \n",
              "               Outstanding                         1                        1   \n",
              "37             Excellent                           1                        1   \n",
              "40             Excellent                           1                        1   \n",
              "\n",
              "                                  YearsWithCurrManager  \n",
              "YearsAtCompany PerformanceRating                        \n",
              "0              Excellent                            37  \n",
              "               Outstanding                           7  \n",
              "1              Excellent                           142  \n",
              "               Outstanding                          29  \n",
              "2              Excellent                           116  \n",
              "...                                                ...  \n",
              "34             Excellent                             1  \n",
              "36             Excellent                             1  \n",
              "               Outstanding                           1  \n",
              "37             Excellent                             1  \n",
              "40             Excellent                             1  \n",
              "\n",
              "[65 rows x 33 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-678e2ade-c756-4e8d-bed7-d42f90ee60f4\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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></th>\n",
              "      <th>Age</th>\n",
              "      <th>Attrition</th>\n",
              "      <th>BusinessTravel</th>\n",
              "      <th>DailyRate</th>\n",
              "      <th>Department</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
              "      <th>EducationField</th>\n",
              "      <th>EmployeeCount</th>\n",
              "      <th>EmployeeNumber</th>\n",
              "      <th>...</th>\n",
              "      <th>PercentSalaryHike</th>\n",
              "      <th>RelationshipSatisfaction</th>\n",
              "      <th>StandardHours</th>\n",
              "      <th>StockOptionLevel</th>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <th>WorkLifeBalance</th>\n",
              "      <th>YearsInCurrentRole</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <th>YearsWithCurrManager</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <th>PerformanceRating</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
              "      <th>Excellent</th>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>...</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Outstanding</th>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>...</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
              "      <th>Excellent</th>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>...</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Outstanding</th>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>...</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <th>Excellent</th>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>...</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <th>Excellent</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">36</th>\n",
              "      <th>Excellent</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Outstanding</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <th>Excellent</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <th>Excellent</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>65 rows × 33 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-678e2ade-c756-4e8d-bed7-d42f90ee60f4')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-678e2ade-c756-4e8d-bed7-d42f90ee60f4 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-678e2ade-c756-4e8d-bed7-d42f90ee60f4');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_performance = df_performance.reset_index().set_index('YearsAtCompany')\n",
        "df_performance"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "id": "He21X3gM9EAC",
        "outputId": "5b4afd73-68cf-4338-b807-ce5a094dba50"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               PerformanceRating  Age  Attrition  BusinessTravel  DailyRate  \\\n",
              "YearsAtCompany                                                                \n",
              "0                      Excellent   37         37              37         37   \n",
              "0                    Outstanding    7          7               7          7   \n",
              "1                      Excellent  142        142             142        142   \n",
              "1                    Outstanding   29         29              29         29   \n",
              "2                      Excellent  116        116             116        116   \n",
              "...                          ...  ...        ...             ...        ...   \n",
              "34                     Excellent    1          1               1          1   \n",
              "36                     Excellent    1          1               1          1   \n",
              "36                   Outstanding    1          1               1          1   \n",
              "37                     Excellent    1          1               1          1   \n",
              "40                     Excellent    1          1               1          1   \n",
              "\n",
              "                Department  DistanceFromHome  Education  EducationField  \\\n",
              "YearsAtCompany                                                            \n",
              "0                       37                37         37              37   \n",
              "0                        7                 7          7               7   \n",
              "1                      142               142        142             142   \n",
              "1                       29                29         29              29   \n",
              "2                      116               116        116             116   \n",
              "...                    ...               ...        ...             ...   \n",
              "34                       1                 1          1               1   \n",
              "36                       1                 1          1               1   \n",
              "36                       1                 1          1               1   \n",
              "37                       1                 1          1               1   \n",
              "40                       1                 1          1               1   \n",
              "\n",
              "                EmployeeCount  ...  PercentSalaryHike  \\\n",
              "YearsAtCompany                 ...                      \n",
              "0                          37  ...                 37   \n",
              "0                           7  ...                  7   \n",
              "1                         142  ...                142   \n",
              "1                          29  ...                 29   \n",
              "2                         116  ...                116   \n",
              "...                       ...  ...                ...   \n",
              "34                          1  ...                  1   \n",
              "36                          1  ...                  1   \n",
              "36                          1  ...                  1   \n",
              "37                          1  ...                  1   \n",
              "40                          1  ...                  1   \n",
              "\n",
              "                RelationshipSatisfaction  StandardHours  StockOptionLevel  \\\n",
              "YearsAtCompany                                                              \n",
              "0                                     37             37                37   \n",
              "0                                      7              7                 7   \n",
              "1                                    142            142               142   \n",
              "1                                     29             29                29   \n",
              "2                                    116            116               116   \n",
              "...                                  ...            ...               ...   \n",
              "34                                     1              1                 1   \n",
              "36                                     1              1                 1   \n",
              "36                                     1              1                 1   \n",
              "37                                     1              1                 1   \n",
              "40                                     1              1                 1   \n",
              "\n",
              "                TotalWorkingYears  TrainingTimesLastYear  WorkLifeBalance  \\\n",
              "YearsAtCompany                                                              \n",
              "0                              37                     37               37   \n",
              "0                               7                      7                7   \n",
              "1                             142                    142              142   \n",
              "1                              29                     29               29   \n",
              "2                             116                    116              116   \n",
              "...                           ...                    ...              ...   \n",
              "34                              1                      1                1   \n",
              "36                              1                      1                1   \n",
              "36                              1                      1                1   \n",
              "37                              1                      1                1   \n",
              "40                              1                      1                1   \n",
              "\n",
              "                YearsInCurrentRole  YearsSinceLastPromotion  \\\n",
              "YearsAtCompany                                                \n",
              "0                               37                       37   \n",
              "0                                7                        7   \n",
              "1                              142                      142   \n",
              "1                               29                       29   \n",
              "2                              116                      116   \n",
              "...                            ...                      ...   \n",
              "34                               1                        1   \n",
              "36                               1                        1   \n",
              "36                               1                        1   \n",
              "37                               1                        1   \n",
              "40                               1                        1   \n",
              "\n",
              "                YearsWithCurrManager  \n",
              "YearsAtCompany                        \n",
              "0                                 37  \n",
              "0                                  7  \n",
              "1                                142  \n",
              "1                                 29  \n",
              "2                                116  \n",
              "...                              ...  \n",
              "34                                 1  \n",
              "36                                 1  \n",
              "36                                 1  \n",
              "37                                 1  \n",
              "40                                 1  \n",
              "\n",
              "[65 rows x 34 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ed5cb087-f877-48a9-98e6-d819e0019ef9\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>PerformanceRating</th>\n",
              "      <th>Age</th>\n",
              "      <th>Attrition</th>\n",
              "      <th>BusinessTravel</th>\n",
              "      <th>DailyRate</th>\n",
              "      <th>Department</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
              "      <th>EducationField</th>\n",
              "      <th>EmployeeCount</th>\n",
              "      <th>...</th>\n",
              "      <th>PercentSalaryHike</th>\n",
              "      <th>RelationshipSatisfaction</th>\n",
              "      <th>StandardHours</th>\n",
              "      <th>StockOptionLevel</th>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <th>WorkLifeBalance</th>\n",
              "      <th>YearsInCurrentRole</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <th>YearsWithCurrManager</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Excellent</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>...</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Outstanding</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>...</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Excellent</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>...</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "      <td>142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Outstanding</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>...</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Excellent</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>...</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>Excellent</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>Excellent</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>Outstanding</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>Excellent</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>Excellent</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>65 rows × 34 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ed5cb087-f877-48a9-98e6-d819e0019ef9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ed5cb087-f877-48a9-98e6-d819e0019ef9 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-ed5cb087-f877-48a9-98e6-d819e0019ef9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "px.bar(df_performance,x=df_performance.index,y='Age',color='PerformanceRating',title='Analise de Performance',labels={'YearsAtCompany':'Anos na Companhia','Age':'N° Performance'})"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "XCq81JXDAdOn",
        "outputId": "883b9b60-e464-4f2b-b00e-f490c06c6b90"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.8.3.min.js\"></script>                <div id=\"fb50ba7e-bf44-426a-a325-83e566c0fbc1\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"fb50ba7e-bf44-426a-a325-83e566c0fbc1\")) {                    Plotly.newPlot(                        \"fb50ba7e-bf44-426a-a325-83e566c0fbc1\",                        [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"PerformanceRating=Excellent<br>Anos na Companhia=%{x}<br>N\\u00b0 Performance=%{y}<extra></extra>\",\"legendgroup\":\"Excellent\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Excellent\",\"offsetgroup\":\"Excellent\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,29,30,31,32,33,34,36,37,40],\"xaxis\":\"x\",\"y\":[37,142,116,108,95,160,65,81,67,66,105,23,11,18,14,18,9,6,12,10,23,12,14,1,5,4,3,2,1,1,3,3,5,1,1,1,1],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"PerformanceRating=Outstanding<br>Anos na Companhia=%{x}<br>N\\u00b0 Performance=%{y}<extra></extra>\",\"legendgroup\":\"Outstanding\",\"marker\":{\"color\":\"#EF553B\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Outstanding\",\"offsetgroup\":\"Outstanding\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,26,29,36],\"xaxis\":\"x\",\"y\":[7,29,11,20,15,36,11,9,13,16,15,9,3,6,4,2,3,3,1,1,4,2,1,1,1,1,1,1],\"yaxis\":\"y\",\"type\":\"bar\"}],                        {\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Anos na Companhia\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"N\\u00b0 Performance\"}},\"legend\":{\"title\":{\"text\":\"PerformanceRating\"},\"tracegroupgap\":0},\"title\":{\"text\":\"Analise de Performance\"},\"barmode\":\"relative\"},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('fb50ba7e-bf44-426a-a325-83e566c0fbc1');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# bonus: as pessoas mais jovens são as resposnáveis por essa performance alta nos primeiros 10 anos de empresa?\n",
        "\n",
        "df_idade_tempo_companhia = df.groupby('Age')['YearsAtCompany'].mean().reset_index().sort_values(by='YearsAtCompany',ascending=True)\n",
        "df_idade_tempo_companhia\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "G5_ZVj8S_NnT",
        "outputId": "ac28ab8d-becd-43cf-8c90-9c7a63cad00e"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Age  YearsAtCompany\n",
              "0    18        0.000000\n",
              "1    19        0.777778\n",
              "2    20        1.545455\n",
              "3    21        1.846154\n",
              "4    22        2.062500\n",
              "5    23        2.642857\n",
              "6    24        3.346154\n",
              "7    25        3.846154\n",
              "10   28        4.375000\n",
              "8    26        4.692308\n",
              "9    27        5.020833\n",
              "39   57        5.250000\n",
              "11   29        5.602941\n",
              "13   31        5.681159\n",
              "41   59        5.800000\n",
              "14   32        6.131148\n",
              "19   37        6.380000\n",
              "30   48        6.421053\n",
              "12   30        6.516667\n",
              "20   38        6.534483\n",
              "15   33        6.586207\n",
              "17   35        6.794872\n",
              "38   56        6.857143\n",
              "16   34        7.064935\n",
              "36   54        7.333333\n",
              "18   36        7.405797\n",
              "26   44        8.272727\n",
              "25   43        8.281250\n",
              "24   42        8.326087\n",
              "31   49        8.416667\n",
              "22   40        8.438596\n",
              "28   46        8.939394\n",
              "27   45        9.365854\n",
              "23   41        9.700000\n",
              "35   53        9.736842\n",
              "21   39        9.761905\n",
              "29   47       10.041667\n",
              "33   51       10.052632\n",
              "32   50       10.800000\n",
              "40   58       11.571429\n",
              "37   55       11.909091\n",
              "42   60       12.200000\n",
              "34   52       12.444444"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8dd4dafb-6078-44f6-bcc0-22aa2063bcf0\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Age</th>\n",
              "      <th>YearsAtCompany</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>18</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>19</td>\n",
              "      <td>0.777778</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>20</td>\n",
              "      <td>1.545455</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>21</td>\n",
              "      <td>1.846154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>22</td>\n",
              "      <td>2.062500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>23</td>\n",
              "      <td>2.642857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>24</td>\n",
              "      <td>3.346154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>25</td>\n",
              "      <td>3.846154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>28</td>\n",
              "      <td>4.375000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>26</td>\n",
              "      <td>4.692308</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>27</td>\n",
              "      <td>5.020833</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>57</td>\n",
              "      <td>5.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>29</td>\n",
              "      <td>5.602941</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>31</td>\n",
              "      <td>5.681159</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>59</td>\n",
              "      <td>5.800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>32</td>\n",
              "      <td>6.131148</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>37</td>\n",
              "      <td>6.380000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>48</td>\n",
              "      <td>6.421053</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>30</td>\n",
              "      <td>6.516667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>38</td>\n",
              "      <td>6.534483</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>33</td>\n",
              "      <td>6.586207</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>35</td>\n",
              "      <td>6.794872</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>56</td>\n",
              "      <td>6.857143</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>34</td>\n",
              "      <td>7.064935</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>54</td>\n",
              "      <td>7.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>36</td>\n",
              "      <td>7.405797</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>44</td>\n",
              "      <td>8.272727</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>43</td>\n",
              "      <td>8.281250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>42</td>\n",
              "      <td>8.326087</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>49</td>\n",
              "      <td>8.416667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>40</td>\n",
              "      <td>8.438596</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>46</td>\n",
              "      <td>8.939394</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>45</td>\n",
              "      <td>9.365854</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>41</td>\n",
              "      <td>9.700000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>53</td>\n",
              "      <td>9.736842</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>39</td>\n",
              "      <td>9.761905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>47</td>\n",
              "      <td>10.041667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>51</td>\n",
              "      <td>10.052632</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>50</td>\n",
              "      <td>10.800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>58</td>\n",
              "      <td>11.571429</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>55</td>\n",
              "      <td>11.909091</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>60</td>\n",
              "      <td>12.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>52</td>\n",
              "      <td>12.444444</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8dd4dafb-6078-44f6-bcc0-22aa2063bcf0')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-8dd4dafb-6078-44f6-bcc0-22aa2063bcf0 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-8dd4dafb-6078-44f6-bcc0-22aa2063bcf0');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Resposta:\n",
        "o 1° gráfico nos traz que nos primeiros 5 anos há o pico de performance com uma pequena queda nos outros 5 anos e após o 10° ano uma grande queda.\n",
        "não é positivo afirmar que os mais jovens são os mais engajados em questão de performance desses 10 anos já que a média dos anos an empresa por idade nos mostra que até os 10 primeiros anos temos pessoas desde 18 até 57 anos\n",
        " "
      ],
      "metadata": {
        "id": "TpDiWurLEOYY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 6 - qual é a media de anos desde a ultima promoção por genero?\n",
        "\n",
        "df_promotion_gender = df.groupby('Gender')['YearsSinceLastPromotion'].mean().reset_index()\n",
        "df_promotion_gender\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "myP6rLHQDlUG",
        "outputId": "262bb4ce-9ac7-4a4b-a05e-9d9a99e70632"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Gender  YearsSinceLastPromotion\n",
              "0  Female                 2.294218\n",
              "1    Male                 2.116780"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-fb4e8ed2-e8b7-4fab-bc10-10e906d65047\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>Gender</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Female</td>\n",
              "      <td>2.294218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Male</td>\n",
              "      <td>2.116780</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fb4e8ed2-e8b7-4fab-bc10-10e906d65047')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-fb4e8ed2-e8b7-4fab-bc10-10e906d65047 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-fb4e8ed2-e8b7-4fab-bc10-10e906d65047');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Gender'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yy3IkU8eIbJ2",
        "outputId": "444c920a-36e6-4eee-8100-6ac8c24edbb2"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Male      882\n",
              "Female    588\n",
              "Name: Gender, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Resposta: <br>\n",
        "\n",
        "O Numero médio de anos desde a ultima promoção para o gênero feminino é maior do que o masculino, e o dataset possui menos mulheres do que homem o que pode indicar que os homens demoram menos tempo pra ter uma promoção do que as mulheres"
      ],
      "metadata": {
        "id": "6I9zEAucIgaZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 7 - qual é a distribuição do equilibrio da vida no trabalho por cargo?\n",
        "dic_worklife = {1:'Low',2:'Good',3:'Excellent',4:'Outstanding'}\n",
        "\n",
        "df['WorkLifeBalance'] = df['WorkLifeBalance'].map(dic_worklife)\n",
        "df['WorkLifeBalance'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zh8L0PncIdg3",
        "outputId": "03190b41-899f-4f57-a3cd-cdc3d6526f12"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Excellent      893\n",
              "Good           344\n",
              "Outstanding    153\n",
              "Low             80\n",
              "Name: WorkLifeBalance, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_worklife_jobrole = df.groupby(['JobRole','WorkLifeBalance']).count().reset_index()\n",
        "df_worklife_jobrole"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "C-wj4GuyJujo",
        "outputId": "60b9951d-de35-4dd5-d011-7a557cc78023"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      JobRole WorkLifeBalance  Age  Attrition  BusinessTravel  \\\n",
              "0   Healthcare Representative       Excellent   80         80              80   \n",
              "1   Healthcare Representative            Good   30         30              30   \n",
              "2   Healthcare Representative             Low   10         10              10   \n",
              "3   Healthcare Representative     Outstanding   11         11              11   \n",
              "4             Human Resources       Excellent   32         32              32   \n",
              "5             Human Resources            Good    6          6               6   \n",
              "6             Human Resources             Low    4          4               4   \n",
              "7             Human Resources     Outstanding   10         10              10   \n",
              "8       Laboratory Technician       Excellent  156        156             156   \n",
              "9       Laboratory Technician            Good   58         58              58   \n",
              "10      Laboratory Technician             Low   20         20              20   \n",
              "11      Laboratory Technician     Outstanding   25         25              25   \n",
              "12                    Manager       Excellent   61         61              61   \n",
              "13                    Manager            Good   23         23              23   \n",
              "14                    Manager             Low    6          6               6   \n",
              "15                    Manager     Outstanding   12         12              12   \n",
              "16     Manufacturing Director       Excellent   90         90              90   \n",
              "17     Manufacturing Director            Good   34         34              34   \n",
              "18     Manufacturing Director             Low    7          7               7   \n",
              "19     Manufacturing Director     Outstanding   14         14              14   \n",
              "20          Research Director       Excellent   49         49              49   \n",
              "21          Research Director            Good   15         15              15   \n",
              "22          Research Director             Low    4          4               4   \n",
              "23          Research Director     Outstanding   12         12              12   \n",
              "24         Research Scientist       Excellent  166        166             166   \n",
              "25         Research Scientist            Good   86         86              86   \n",
              "26         Research Scientist             Low   16         16              16   \n",
              "27         Research Scientist     Outstanding   24         24              24   \n",
              "28            Sales Executive       Excellent  202        202             202   \n",
              "29            Sales Executive            Good   76         76              76   \n",
              "30            Sales Executive             Low   12         12              12   \n",
              "31            Sales Executive     Outstanding   36         36              36   \n",
              "32       Sales Representative       Excellent   57         57              57   \n",
              "33       Sales Representative            Good   16         16              16   \n",
              "34       Sales Representative             Low    1          1               1   \n",
              "35       Sales Representative     Outstanding    9          9               9   \n",
              "\n",
              "    DailyRate  Department  DistanceFromHome  Education  EducationField  ...  \\\n",
              "0          80          80                80         80              80  ...   \n",
              "1          30          30                30         30              30  ...   \n",
              "2          10          10                10         10              10  ...   \n",
              "3          11          11                11         11              11  ...   \n",
              "4          32          32                32         32              32  ...   \n",
              "5           6           6                 6          6               6  ...   \n",
              "6           4           4                 4          4               4  ...   \n",
              "7          10          10                10         10              10  ...   \n",
              "8         156         156               156        156             156  ...   \n",
              "9          58          58                58         58              58  ...   \n",
              "10         20          20                20         20              20  ...   \n",
              "11         25          25                25         25              25  ...   \n",
              "12         61          61                61         61              61  ...   \n",
              "13         23          23                23         23              23  ...   \n",
              "14          6           6                 6          6               6  ...   \n",
              "15         12          12                12         12              12  ...   \n",
              "16         90          90                90         90              90  ...   \n",
              "17         34          34                34         34              34  ...   \n",
              "18          7           7                 7          7               7  ...   \n",
              "19         14          14                14         14              14  ...   \n",
              "20         49          49                49         49              49  ...   \n",
              "21         15          15                15         15              15  ...   \n",
              "22          4           4                 4          4               4  ...   \n",
              "23         12          12                12         12              12  ...   \n",
              "24        166         166               166        166             166  ...   \n",
              "25         86          86                86         86              86  ...   \n",
              "26         16          16                16         16              16  ...   \n",
              "27         24          24                24         24              24  ...   \n",
              "28        202         202               202        202             202  ...   \n",
              "29         76          76                76         76              76  ...   \n",
              "30         12          12                12         12              12  ...   \n",
              "31         36          36                36         36              36  ...   \n",
              "32         57          57                57         57              57  ...   \n",
              "33         16          16                16         16              16  ...   \n",
              "34          1           1                 1          1               1  ...   \n",
              "35          9           9                 9          9               9  ...   \n",
              "\n",
              "    PerformanceRating  RelationshipSatisfaction  StandardHours  \\\n",
              "0                  80                        80             80   \n",
              "1                  30                        30             30   \n",
              "2                  10                        10             10   \n",
              "3                  11                        11             11   \n",
              "4                  32                        32             32   \n",
              "5                   6                         6              6   \n",
              "6                   4                         4              4   \n",
              "7                  10                        10             10   \n",
              "8                 156                       156            156   \n",
              "9                  58                        58             58   \n",
              "10                 20                        20             20   \n",
              "11                 25                        25             25   \n",
              "12                 61                        61             61   \n",
              "13                 23                        23             23   \n",
              "14                  6                         6              6   \n",
              "15                 12                        12             12   \n",
              "16                 90                        90             90   \n",
              "17                 34                        34             34   \n",
              "18                  7                         7              7   \n",
              "19                 14                        14             14   \n",
              "20                 49                        49             49   \n",
              "21                 15                        15             15   \n",
              "22                  4                         4              4   \n",
              "23                 12                        12             12   \n",
              "24                166                       166            166   \n",
              "25                 86                        86             86   \n",
              "26                 16                        16             16   \n",
              "27                 24                        24             24   \n",
              "28                202                       202            202   \n",
              "29                 76                        76             76   \n",
              "30                 12                        12             12   \n",
              "31                 36                        36             36   \n",
              "32                 57                        57             57   \n",
              "33                 16                        16             16   \n",
              "34                  1                         1              1   \n",
              "35                  9                         9              9   \n",
              "\n",
              "    StockOptionLevel  TotalWorkingYears  TrainingTimesLastYear  \\\n",
              "0                 80                 80                     80   \n",
              "1                 30                 30                     30   \n",
              "2                 10                 10                     10   \n",
              "3                 11                 11                     11   \n",
              "4                 32                 32                     32   \n",
              "5                  6                  6                      6   \n",
              "6                  4                  4                      4   \n",
              "7                 10                 10                     10   \n",
              "8                156                156                    156   \n",
              "9                 58                 58                     58   \n",
              "10                20                 20                     20   \n",
              "11                25                 25                     25   \n",
              "12                61                 61                     61   \n",
              "13                23                 23                     23   \n",
              "14                 6                  6                      6   \n",
              "15                12                 12                     12   \n",
              "16                90                 90                     90   \n",
              "17                34                 34                     34   \n",
              "18                 7                  7                      7   \n",
              "19                14                 14                     14   \n",
              "20                49                 49                     49   \n",
              "21                15                 15                     15   \n",
              "22                 4                  4                      4   \n",
              "23                12                 12                     12   \n",
              "24               166                166                    166   \n",
              "25                86                 86                     86   \n",
              "26                16                 16                     16   \n",
              "27                24                 24                     24   \n",
              "28               202                202                    202   \n",
              "29                76                 76                     76   \n",
              "30                12                 12                     12   \n",
              "31                36                 36                     36   \n",
              "32                57                 57                     57   \n",
              "33                16                 16                     16   \n",
              "34                 1                  1                      1   \n",
              "35                 9                  9                      9   \n",
              "\n",
              "    YearsAtCompany  YearsInCurrentRole  YearsSinceLastPromotion  \\\n",
              "0               80                  80                       80   \n",
              "1               30                  30                       30   \n",
              "2               10                  10                       10   \n",
              "3               11                  11                       11   \n",
              "4               32                  32                       32   \n",
              "5                6                   6                        6   \n",
              "6                4                   4                        4   \n",
              "7               10                  10                       10   \n",
              "8              156                 156                      156   \n",
              "9               58                  58                       58   \n",
              "10              20                  20                       20   \n",
              "11              25                  25                       25   \n",
              "12              61                  61                       61   \n",
              "13              23                  23                       23   \n",
              "14               6                   6                        6   \n",
              "15              12                  12                       12   \n",
              "16              90                  90                       90   \n",
              "17              34                  34                       34   \n",
              "18               7                   7                        7   \n",
              "19              14                  14                       14   \n",
              "20              49                  49                       49   \n",
              "21              15                  15                       15   \n",
              "22               4                   4                        4   \n",
              "23              12                  12                       12   \n",
              "24             166                 166                      166   \n",
              "25              86                  86                       86   \n",
              "26              16                  16                       16   \n",
              "27              24                  24                       24   \n",
              "28             202                 202                      202   \n",
              "29              76                  76                       76   \n",
              "30              12                  12                       12   \n",
              "31              36                  36                       36   \n",
              "32              57                  57                       57   \n",
              "33              16                  16                       16   \n",
              "34               1                   1                        1   \n",
              "35               9                   9                        9   \n",
              "\n",
              "    YearsWithCurrManager  \n",
              "0                     80  \n",
              "1                     30  \n",
              "2                     10  \n",
              "3                     11  \n",
              "4                     32  \n",
              "5                      6  \n",
              "6                      4  \n",
              "7                     10  \n",
              "8                    156  \n",
              "9                     58  \n",
              "10                    20  \n",
              "11                    25  \n",
              "12                    61  \n",
              "13                    23  \n",
              "14                     6  \n",
              "15                    12  \n",
              "16                    90  \n",
              "17                    34  \n",
              "18                     7  \n",
              "19                    14  \n",
              "20                    49  \n",
              "21                    15  \n",
              "22                     4  \n",
              "23                    12  \n",
              "24                   166  \n",
              "25                    86  \n",
              "26                    16  \n",
              "27                    24  \n",
              "28                   202  \n",
              "29                    76  \n",
              "30                    12  \n",
              "31                    36  \n",
              "32                    57  \n",
              "33                    16  \n",
              "34                     1  \n",
              "35                     9  \n",
              "\n",
              "[36 rows x 35 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-dba7acfd-5241-4a27-911f-71c35d71b47c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>JobRole</th>\n",
              "      <th>WorkLifeBalance</th>\n",
              "      <th>Age</th>\n",
              "      <th>Attrition</th>\n",
              "      <th>BusinessTravel</th>\n",
              "      <th>DailyRate</th>\n",
              "      <th>Department</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
              "      <th>EducationField</th>\n",
              "      <th>...</th>\n",
              "      <th>PerformanceRating</th>\n",
              "      <th>RelationshipSatisfaction</th>\n",
              "      <th>StandardHours</th>\n",
              "      <th>StockOptionLevel</th>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <th>YearsInCurrentRole</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <th>YearsWithCurrManager</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Healthcare Representative</td>\n",
              "      <td>Excellent</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>...</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Healthcare Representative</td>\n",
              "      <td>Good</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>...</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Healthcare Representative</td>\n",
              "      <td>Low</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>...</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Healthcare Representative</td>\n",
              "      <td>Outstanding</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>...</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Human Resources</td>\n",
              "      <td>Excellent</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>...</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Human Resources</td>\n",
              "      <td>Good</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>...</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Human Resources</td>\n",
              "      <td>Low</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Human Resources</td>\n",
              "      <td>Outstanding</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>...</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Laboratory Technician</td>\n",
              "      <td>Excellent</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>...</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "      <td>156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Laboratory Technician</td>\n",
              "      <td>Good</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>...</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Laboratory Technician</td>\n",
              "      <td>Low</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>...</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Laboratory Technician</td>\n",
              "      <td>Outstanding</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>...</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Manager</td>\n",
              "      <td>Excellent</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>...</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Manager</td>\n",
              "      <td>Good</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>...</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Manager</td>\n",
              "      <td>Low</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>...</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Manager</td>\n",
              "      <td>Outstanding</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>...</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Manufacturing Director</td>\n",
              "      <td>Excellent</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>...</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "      <td>90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Manufacturing Director</td>\n",
              "      <td>Good</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>...</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Manufacturing Director</td>\n",
              "      <td>Low</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>...</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Manufacturing Director</td>\n",
              "      <td>Outstanding</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>...</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Research Director</td>\n",
              "      <td>Excellent</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>...</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Research Director</td>\n",
              "      <td>Good</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>...</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Research Director</td>\n",
              "      <td>Low</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Research Director</td>\n",
              "      <td>Outstanding</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>...</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Research Scientist</td>\n",
              "      <td>Excellent</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>...</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "      <td>166</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Research Scientist</td>\n",
              "      <td>Good</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>...</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "      <td>86</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Research Scientist</td>\n",
              "      <td>Low</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>...</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Research Scientist</td>\n",
              "      <td>Outstanding</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>...</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Sales Executive</td>\n",
              "      <td>Excellent</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>...</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "      <td>202</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Sales Executive</td>\n",
              "      <td>Good</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>...</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>Sales Executive</td>\n",
              "      <td>Low</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>...</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>Sales Executive</td>\n",
              "      <td>Outstanding</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>...</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>Sales Representative</td>\n",
              "      <td>Excellent</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>...</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "      <td>57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>Sales Representative</td>\n",
              "      <td>Good</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>...</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>Sales Representative</td>\n",
              "      <td>Low</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>Sales Representative</td>\n",
              "      <td>Outstanding</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>...</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>36 rows × 35 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-dba7acfd-5241-4a27-911f-71c35d71b47c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-dba7acfd-5241-4a27-911f-71c35d71b47c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-dba7acfd-5241-4a27-911f-71c35d71b47c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "px.bar(df_worklife_jobrole,x='JobRole',y='Age',color='WorkLifeBalance',labels={'JobRole':'Cargo','Age':'N° Classificação'})"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "xOCieRuUKYVJ",
        "outputId": "65214f0e-cb7d-47cc-c61b-82f3da34abf8"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.8.3.min.js\"></script>                <div id=\"1f66354c-1824-481e-841c-dea172141507\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"1f66354c-1824-481e-841c-dea172141507\")) {                    Plotly.newPlot(                        \"1f66354c-1824-481e-841c-dea172141507\",                        [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"WorkLifeBalance=Excellent<br>Cargo=%{x}<br>N\\u00b0 Classifica\\u00e7\\u00e3o=%{y}<extra></extra>\",\"legendgroup\":\"Excellent\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Excellent\",\"offsetgroup\":\"Excellent\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Healthcare Representative\",\"Human Resources\",\"Laboratory Technician\",\"Manager\",\"Manufacturing Director\",\"Research Director\",\"Research Scientist\",\"Sales Executive\",\"Sales Representative\"],\"xaxis\":\"x\",\"y\":[80,32,156,61,90,49,166,202,57],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"WorkLifeBalance=Good<br>Cargo=%{x}<br>N\\u00b0 Classifica\\u00e7\\u00e3o=%{y}<extra></extra>\",\"legendgroup\":\"Good\",\"marker\":{\"color\":\"#EF553B\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Good\",\"offsetgroup\":\"Good\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Healthcare Representative\",\"Human Resources\",\"Laboratory Technician\",\"Manager\",\"Manufacturing Director\",\"Research Director\",\"Research Scientist\",\"Sales Executive\",\"Sales Representative\"],\"xaxis\":\"x\",\"y\":[30,6,58,23,34,15,86,76,16],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"WorkLifeBalance=Low<br>Cargo=%{x}<br>N\\u00b0 Classifica\\u00e7\\u00e3o=%{y}<extra></extra>\",\"legendgroup\":\"Low\",\"marker\":{\"color\":\"#00cc96\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Low\",\"offsetgroup\":\"Low\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Healthcare Representative\",\"Human Resources\",\"Laboratory Technician\",\"Manager\",\"Manufacturing Director\",\"Research Director\",\"Research Scientist\",\"Sales Executive\",\"Sales Representative\"],\"xaxis\":\"x\",\"y\":[10,4,20,6,7,4,16,12,1],\"yaxis\":\"y\",\"type\":\"bar\"},{\"alignmentgroup\":\"True\",\"hovertemplate\":\"WorkLifeBalance=Outstanding<br>Cargo=%{x}<br>N\\u00b0 Classifica\\u00e7\\u00e3o=%{y}<extra></extra>\",\"legendgroup\":\"Outstanding\",\"marker\":{\"color\":\"#ab63fa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"Outstanding\",\"offsetgroup\":\"Outstanding\",\"orientation\":\"v\",\"showlegend\":true,\"textposition\":\"auto\",\"x\":[\"Healthcare Representative\",\"Human Resources\",\"Laboratory Technician\",\"Manager\",\"Manufacturing Director\",\"Research Director\",\"Research Scientist\",\"Sales Executive\",\"Sales Representative\"],\"xaxis\":\"x\",\"y\":[11,10,25,12,14,12,24,36,9],\"yaxis\":\"y\",\"type\":\"bar\"}],                        {\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Cargo\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"N\\u00b0 Classifica\\u00e7\\u00e3o\"}},\"legend\":{\"title\":{\"text\":\"WorkLifeBalance\"},\"tracegroupgap\":0},\"margin\":{\"t\":60},\"barmode\":\"relative\"},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('1f66354c-1824-481e-841c-dea172141507');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Resposta: <br>\n",
        "\n",
        "Os colaboradores de Sales Executive os Cientistas tem uma melhor avaliação no que diz a parte de equilibrio de vida/trabalho e os de Recursos humanos/Sales Representative são os que possuem menos equilibrio nessa questão"
      ],
      "metadata": {
        "id": "k5grlwwJL7xY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 8 - pessoas que viajam mais a trabalho são menos satisfeitas em seus relacionamentos?\n",
        "\n",
        "dic_relationshipsatisfaction = {1:'Low',2:'Good',3:'Excellent',4:'Outstanding'}\n",
        "\n",
        "df['RelationshipSatisfaction'] = df['RelationshipSatisfaction'].map(dic_relationshipsatisfaction)\n",
        "df['RelationshipSatisfaction'].value_counts()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9vJ8mWJyK-0W",
        "outputId": "a73e5bd3-2d53-4e28-91d9-e2e7a5ab1fdd"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Excellent      459\n",
              "Outstanding    432\n",
              "Good           303\n",
              "Low            276\n",
              "Name: RelationshipSatisfaction, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df_business_relationship = df[['BusinessTravel','RelationshipSatisfaction']]"
      ],
      "metadata": {
        "id": "6T91eP92MyTh"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig,ax = plt.subplots(figsize=(12,6))\n",
        "sns.countplot(data=df_business_relationship,x='RelationshipSatisfaction',hue='BusinessTravel')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 405
        },
        "id": "_5IO41k_NGFs",
        "outputId": "ab6dbd83-bb1a-4bc3-c98c-8c260b52c6dd"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ffb31ae1410>"
            ]
          },
          "metadata": {},
          "execution_count": 34
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Resposta:\n",
        "Pessoas que viajam pouco é o grande foco, são a grande maioria e a sua divisão apesar de ter o maior numero em pessoas com baixa satisfação nos demais critérios as pessoas que viajam raramente tem um bom indice de satisfação nos seus relacionamentos.\n"
      ],
      "metadata": {
        "id": "9LnyLDjBN9Im"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 9 - Qual o grau de satisfação do trabalho das pessoas que fazem horas extras\n",
        "\n",
        "dic_overtimejob = {1:'Low',2:'Good',3:'Excellent',4:'Outstanding'}\n",
        "\n",
        "df['JobSatisfaction'] = df['JobSatisfaction'].map(dic_overtimejob)\n",
        "df['JobSatisfaction'].value_counts()\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q1Tzkw2tNeoa",
        "outputId": "9bc16f4b-6059-49fc-e49a-66ac96553afb"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Outstanding    459\n",
              "Excellent      442\n",
              "Low            289\n",
              "Good           280\n",
              "Name: JobSatisfaction, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df_over_satisfaction = df[['OverTime','JobSatisfaction']]"
      ],
      "metadata": {
        "id": "1D93WHwfQ63d"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig,ax = plt.subplots(figsize=(12,6))\n",
        "sns.countplot(data=df_over_satisfaction,x='OverTime',hue='JobSatisfaction')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 405
        },
        "id": "hdHclfVIQ75c",
        "outputId": "49c4eb3b-fbaf-4978-c4c9-b0de643d19f5"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ffb319764d0>"
            ]
          },
          "metadata": {},
          "execution_count": 37
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Resposta:\n",
        "\n",
        "Apesar do nivel baixo de satisfação ser maior nos que não fazem horas extras os demais critérios se sobressaem sobre os que fazem horas extras, portanto, pessoas que não fazem hora extra (que possivelmente usam essas horas pra demais tarefas) são mais satisfeitas"
      ],
      "metadata": {
        "id": "idx2J0OIRRrk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 10 - distribuição do grau de satisfação no dataset\n",
        "\n"
      ],
      "metadata": {
        "id": "mHn74ITZRKfb"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "px.pie(df,values=df['JobSatisfaction'].value_counts(),names=df['JobSatisfaction'].unique(),title='Proporção de Satisfação - Trabalho')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "ZDsBHRZPRrEE",
        "outputId": "2f396002-950f-4507-e41c-36d0ba95311b"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-2.8.3.min.js\"></script>                <div id=\"56b84968-f7b6-4673-bd5b-e4d82a70aff8\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"56b84968-f7b6-4673-bd5b-e4d82a70aff8\")) {                    Plotly.newPlot(                        \"56b84968-f7b6-4673-bd5b-e4d82a70aff8\",                        [{\"domain\":{\"x\":[0.0,1.0],\"y\":[0.0,1.0]},\"hovertemplate\":\"label=%{label}<br>value=%{value}<extra></extra>\",\"labels\":[\"Outstanding\",\"Good\",\"Excellent\",\"Low\"],\"legendgroup\":\"\",\"name\":\"\",\"showlegend\":true,\"values\":[459,442,289,280],\"type\":\"pie\"}],                        {\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Propor\\u00e7\\u00e3o de Satisfa\\u00e7\\u00e3o - Trabalho\"}},                        {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('56b84968-f7b6-4673-bd5b-e4d82a70aff8');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
              "}}\n",
              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
              "}}\n",
              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Resposta: <br>\n",
        "\n",
        "81% do dataset está minimamente satisfeito com o seu trabalho o que é uma boa parcela, porém, 19% também interpreto ser uma parcela alta de um grau de insatisfação numa empresa :/"
      ],
      "metadata": {
        "id": "fJlJXNewSQ57"
      }
    }
  ]
}