ws_python_for_excel_users.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# <font color='red'> Coda.Br 2022 </font>\n",
        "\n",
        "Turbinando a análise de dados com Python (para pessoas usuárias de Excel)"
      ],
      "metadata": {
        "id": "CctENt7pcV3T"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2HaEbRNOcRGx"
      },
      "source": [
        "# <font color='red'> Como criar um arquivo Colab:</font>\n",
        "\n",
        "Podemos de duas maneiras:    \n",
        "\n",
        "1.   Via: https://colab.research.google.com; ou \n",
        "2.   Via **Google Drive**, conforme a imagem abaixo:\n",
        "\n",
        "![colab.png](data:image/png;base64,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)\n",
        "\n",
        "O **Colab** conecta o seu notebook na nuvem do Google, isso significa que você pode rodar o Python sem precisar configurar nada em sua máquina. (e isso é excelente, pois não precisamos nos preocupar com instalações em nossa máquina local).\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BA6dmdI2cRHM"
      },
      "source": [
        "## <font color='red'> Células Colab (Notebook) vs. Excel </font>\n",
        "\n",
        "Assim como o **Excel**, o **Python** tem células e nelas podemos inserir códigos, textos, imagens e etc."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# <font color='red'> Introdução ao Python </font>\n",
        "\n",
        "- número inteiro\n",
        "- número decimal \n",
        "- texto (string)\n",
        "- tipos de dados\n",
        "    \n",
        "**Cometários nas células**\n",
        "\n",
        "Utilizar o **#** nas células nos dá instruções e lembretes dos nossos códigos, eles ajudam outros usários e nós mesmos de lembrar o que o código está fazendo."
      ],
      "metadata": {
        "id": "u9H7ZhO3dIUA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# inteiro\n",
        "num_inteiro = 13\n",
        "num_inteiro"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rIhT7qpUc8gm",
        "outputId": "11d253c7-9195-40b6-a5bd-fed69fa00160"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "13"
            ]
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# float\n",
        "num_float = 13.13\n",
        "num_float"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aVwaK2emdgje",
        "outputId": "843bd2a0-13b9-40c6-b4cd-cccb0d0c5438"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "13.13"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# string\n",
        "txt = 'Deborah'\n",
        "txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "IcbQV_88doLL",
        "outputId": "0bf1f9bf-b752-4bb7-daed-78604ff31acd"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Deborah'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# verificando o tipo de dados\n",
        "type(num_inteiro)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sLcqmESGduPD",
        "outputId": "8d66500e-ac8b-4994-b090-c0f08f736321"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "int"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# convertendo o tipo de dados \n",
        "float(num_inteiro)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0cK_hai1d0mT",
        "outputId": "3055fd04-2e2f-47a6-e351-1d90cb8579ff"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "13.0"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# operação simples matemática\n",
        "1 + 1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q8HpnJloeO4N",
        "outputId": "ccd88df6-80fe-4303-9cb0-0a75d3c7cb82"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# <font color='red'> O que é biblioteca? </font>\n",
        "\n",
        "Algumas bibliotecas vem inclusas por padrão no Python.\n",
        "\n",
        "Por exemplo, a biblioteca *math* é parte das bibliotecas padrão do Python. Por isso, não precisamos instalar nada, apenas precisamos fazer a importação dela."
      ],
      "metadata": {
        "id": "-7zydlZ4eAlM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Biblioteca math\n",
        "import math\n",
        "\n",
        "# função *SUM* é da biblioteca Math, usamos o parênteses é igual no Excel\n",
        "sum([1,1])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oRaB09sjeIoS",
        "outputId": "96810e1f-38a0-45f3-d43e-c99c0bb3fad6"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <font color='red'> Biblioteca Pandas </font>\n",
        "\n",
        "A biblioteca **Pandas** possui código aberto que fornece estruturas de dados de alta performance e fácil de utilizar e é também uma ótima ferramenta para manipulação de dados.\n",
        "\n",
        "O nome **Pandas** vem da combinação de *Panel Data e Python Data Analysis*.\n",
        "\n",
        "O apelido usado pela comunidade para o **Pandas** é o **pd**, portanto, carregar o **Pandas** e nomear como pd é considerado uma prática padrão para toda a documentação do **Pandas**.\n",
        "\n",
        "Ela possui uma ótima documentação:\n",
        "https://pandas.pydata.org/"
      ],
      "metadata": {
        "id": "FvWA7LvYedfG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# instalando a biblioteca Pandas\n",
        "!pip install pandas"
      ],
      "metadata": {
        "id": "6pzj759kezds"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# importando a biblioteca Pandas\n",
        "import pandas as pd"
      ],
      "metadata": {
        "id": "6mayLeOVeXBq"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# <font color='red'> Estrutura de Dados </font>\n",
        "\n",
        "Vamos entender como é a estrutura de dados em **Pandas**."
      ],
      "metadata": {
        "id": "hFl-2JmlfBlS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <font color='red'> Dataframe </font>\n",
        "\n",
        "**DataFrame** é uma estrutura de dados tabular bidimensional mutável em tamanho, e pode armazenar diferentes tipos de dados (int, float, string, date e etc.), com eixos rotulados (linhas e colunas), estrutura parecida com uma planilha de Excel/ Google Sheet.\n",
        "\n",
        "![dataframe.PNG](data:image/png;base64,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)\n"
      ],
      "metadata": {
        "id": "SSW8ZKpOfNrX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# criando uma lista de textos, listas são indicadas por colchetes\n",
        "lista = ['Coda.Br', 2022, 'Excel', 'Python']\n",
        "type(lista)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-lzdptC2ex3r",
        "outputId": "6faa00e7-b248-4579-c5cd-cd66d499b74a"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "list"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Nota:**\n",
        "\n",
        "Uma lista é uma sequência de valores, assim como uma *string*.\n",
        "\n",
        "Em uma *string*, os valores são caracteres, por outro lado, em uma lista, os valores podem ser de qualquer tipo. \n",
        "\n",
        "Os valores em lista são chamados de elementos ou às vezes chamamos de itens."
      ],
      "metadata": {
        "id": "b-t_qrXbfksD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# criando um dataframe com a lista criada anteriormente\n",
        "dataframe = pd.DataFrame(lista, columns=['descrição'])\n",
        "dataframe"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "aVdEh9xAfiIj",
        "outputId": "15433b28-2b3a-414f-b9ff-fc42282571ea"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  descrição\n",
              "0   Coda.Br\n",
              "1      2022\n",
              "2     Excel\n",
              "3    Python"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-558e6c36-da1b-4838-858b-5c057f1e5985\">\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>descrição</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Coda.Br</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Excel</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Python</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-558e6c36-da1b-4838-858b-5c057f1e5985')\"\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-558e6c36-da1b-4838-858b-5c057f1e5985 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-558e6c36-da1b-4838-858b-5c057f1e5985');\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": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## <font color='red'> Series </font>\n",
        "\n",
        "**Seires** é uma matriz rotulada unidimensional capaz de conter qualquer tipo de dados (inteiros, strings (texto), números decimal, objetos Python, etc.), os rótulos dos eixos são chamados de índice. \n",
        "\n",
        "Cada coluna no *dataframe* é uma series, é igual uma coluna no Excel/ Google Sheet.\n",
        "\n",
        "O índice começa no zero, lembrando que no Excel o índice começa no 1.\n",
        "\n",
        "![serie.PNG](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQQAAAEzCAYAAADXd30fAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAA+4SURBVHhe7ZzPaxtnGoD1Z+hqyCXQQ3OLjxHkEMMeasihhh6C2UPQqZgciuglmD0E0UMReygiN/nQ4iwUlEIW5xKwSwvKocWhBJSFQJStD2q3dRTXgXdnlPGnkSyNRvb7vijK88BzkfVzrHk0830zUxAAgASCAAABggAAAYIAAAGCAAABggAAAYIAAAGCAAABggAAAYIAAAGCAAABggAAAYIAAAGCAAABggAAAYIAAAGCAAABggCz0dmVxpdVqd5tSvuP5DZYGAgC5Of5tqwVC1IoJF6uSiv5EywGBAFy09laHcSgb1E2f0z+CAsBQTgzPensNaR2a11KVy5KMbWiFD8oSenqumzcqUnjUSe652LQe1gZ+pyFwrpsHyR/hIWAIJyB7qOqrF5IrxgZXm9IJ3ncu09PWl+uycV4t+HCimw+6Ca3w6JAEGakvbU2/CtZvCil62Wp3KlKNbFyc3Ww1bBQQYBFhyDMwtO6rIQYFGXtq5Z0j5O/jaUn3YPuwuwywOJDEGZg93YxbBlc+nyXFR0WDoKQm7Y0PjrZOihI5VFysxpdad+vy8aN0tt99P7rLMlyPDgZz/nn2V1/3pDV5P0Vbu8mN0Ycd2R3a1PWw+BnUS5eWZfNe/vRq2awt5m8j0luSupVZqL7tCn1eED2g0Fkly6XZP1WXZpPZx+b6D5Jnm9kgLdwYVlKV+PnrUrjMQmfBkHITUuqHw6+aBsPFL9cz5qycWWwYoy1WJKNe+3kARMYE4Tuj7XMAdClG9tR6iZgEoS2ND8tjcxWjFqU0qfR+8rcHUv4oyW160tjnuO0q1uM5kyDIOSmK82bqS/Y5Whl0DhS71lj6GCfpWtlqW41ZefhjjS3arIx9GUvytpWRhRGgtD+tizL4bHR1saNjf6g58bHw7+iK3cnPGf0K34yUBr8bE0uhcfOGoRoK+uTVPgurEj5TkOa0WfduR9P4a7KUnjughQ/aUyOVZ8o0pcH9+9/xpEB3niLq3T57TIkCNMhCDMwOg9fvLIhjZ/OM/WW/kLHg5T7Y8clOvcrqRV7VRrPkz+Mkg7ChaWwchX/tik7I+vC0GzJhzMccZh+jRmD0PpiOXlcvLLXZX9cUDtNqaRW8qyVuHtvPdyvcC36DFn/iuOedNljmApBmIme7N4efKnfGu2Pf7wpjb3ZD0BKf6GnDVKmV6ZLdyasvkMr61sn7xLsymbYMoki8yy5eRpnDcLBtqyfPO7DSvbW1ePqIIAZsdq9ndwnUnUX7j2GIMxMT/bvrg9t2gbjTeAvcw4ARqtp/drJY1ek/jS5eRJP61I6eZ1JK8lIELI3uTuy/cngvpt7yc3TOGMQ2ndXwmtN3EUJRMvm6slrXJLq4+TmEdJBKP1zP7kVzgNBOCsHLdm+nRy1l3wpBy7Jyq2G7GeFobMtayf3v1qfsq8cE/2ih+dfk+1xW9JDK2tZmlPGONIrlG0Q0vEpTY9fRPq9rX09frdhaJehsCzlrWnHhcA0CMJ56cVTelUpXxsz0l0syeajCVVIj+Bfrch2PLCWaW2wyT1pHOGsm/OzcKbXSMesJJWvx32+YWt/P7l/1jhCtCXx0cjsTPGirN2qy/bjtvSIw8wQBEV6z+Mv8uiU2nL063t6/7b7bTl1n1l9x4LQbUo5PGZ2M2cH/tiXxsRpzGhL7WZNmk/OM/D7fkEQDOj+VJf19Nz/mOsGdL5eS31xZ/UdC0J69+gM5pkujA90qt1cmbALV5Cl67XsWQjoQxCsSI+UjxsYS+8yaJ0ANa9BiO412GXImDZVoZcctThmfIcLukyFIJiRXgnGDNqlZw1yDSrmYG6DkJ41yDeoqMJxV1pb6YOzClL+ls2ELAiCGekgjLuyUPT38AuWY9oxD3MbhOjTpk4Mmz7tqMvQSWlfsI2QBUEwohftEgwO8S1L89QPU092Pht8UacfppuDOQ7C0FGexbX8B0Ip0P6qlLxfgjANgpCXbkt2Hu5LJ8f5C52Hm7KS2n9d/kdr/FGIQ9dXiI8qrMlu1mDCcU/aj7dld9LWxBwHob/bEA7EirywLrW97JGT3rOWbO9NymRX9vdy/D+GzhWJttTyHm/xnkIQ8pJeEfqn1K5K+fPUST/JiTTLI2cWxsfstzOOqj11BabIpcvDz92/AlNygk7sxC+1ahDa0kx9tuDQyU3xyUmj96nL7qTd9JETufpGy3L1ZmXw+M/Lsnp1eXAkaPo07iFSu2Tj/h/x86SWWWzxZjP7dG8gCLkZWtnyuCSrd3akk+PgmO6DipRGV5SJLkl10pWOVYMwPCia3ymzCAc7Upl2qnfKpUnnbcz0/uL/xS4xyAFByE20iRqfonunIuXr8VWVU79ifeOLjpT6v3b1ey3pzHquzXFHWvfeXiAlfdGQ+Mu83L/AR00a0S5L5hl770IQEjrRrs+4C5rEF0kp3diQ2taO7B9kfdjk/9Hfohic4hyMr3WZXFxmnytD54YgAECAIABAgCAAQIAgAECAIABAgCAAQIAgAECAIABAgCAAQIAgAECAIABAgCAAQIAgAECAIABAgCAAQIAgAECAIABAgCAAQIAgAECAIABAgCAAQIAgAECAIABAgCAAQIAgAECAIABAgCAAQIAgAECAIABAgCAAQIAgAECAIABAgCAAQIAgAEBgYYLw19ERKgrvJwsThINff5V/ffMNKrj/88/JUj3Nn3/+Kf9pt1HB//3+e7JU5weCgKckCD4SBEMIgp4EwUeCYAhB0JMg+EgQDCEIehIEHwmCIQRBT4LgI0EwhCDoSRB8JAiGEAQ9CYKPBMEQgqAnQfCRIBhCEPQkCD4SBEMIgp4EwUeCYAhB0JMg+EgQDCEIehIEHwmCIQRBT4LgI0EwhCDoSRB8JAiGEAQ9CYKPBMEQgqAnQfCRIBhCEPQkCD4SBEMIgp4EwUeCYAhB0JMg+EgQDCEIehIEHwmCIQRBT4LgI0EwhCDoSRB8JAiGEAQ9CYKPBMEQgqAnQfCRIBhCEPQkCD4SBEMIgp4EwUeCYAhB0JMg+EgQDCEIehIEHwmCIQRBT4LgI0EwhCDoSRB8JAiGEAQ9CYKPBMEQgqAnQfCRIBhCEPQkCD4SBEMIgp4EwUeCYAhB0JMg+EgQDCEIehIEHwmCIQRBT4LgI0EwhCDoSRB8JAiGxEF4+ssvqOQk/jo6kt+6XVTw6PXrZKnODwsTBAA4PwQBAAIEAQACCzWG8OD+fVQwa1Cx9+qVvHzxAhU8PDxMlur8sFBBGDdijrPLLIOPzDIYQhD0JAg+EgRDCIKeBMFHgmAIQdCTIPhIEAwhCHoSBB8JgiEEQU+C4CNBMIQg6EkQfCQIhhAEPQmCjwTBEIKgJ0HwkSAYQhD0JAg+EgRDCIKeBMFHgmAIQdCTIPhIEAwhCHoSBB8JgiEEQU+C4CNBMIQg6EkQfCQIhhAEPQmCjwTBEIKgJ0HwkSAYQhD0JAg+EgRDCIKeBMFHgmAIQdCTIPhIEAwhCHoSBB8JgiEEQU+C4CNBMIQg6EkQfCQIhhAEPQmCjwTBEIKgJ0HwkSAYQhD0JAg+EgRDCIKeBMFHgmAIQdCTIPhIEAwhCHoSBB8JgiEEQU+C4CNBMIQg6EkQfCQIhhAEPQmCjwTBEIKgJ0HwkSAYQhD0JAg+EgRDCIKeBMFHgmAIQdCTIPhIEAwhCHoSBB8JgiEEQU+C4CNBMCQOwo/ff48KZgWh9+qVvHzxAhU8PDxMlur8sDBBAIDzQxAAIEAQACCwUGMIP+ztoYKMIfjIGIIhzDLoySyDj8wyGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTAkDsK/v/sOFcwKQu/VK3n54gUqeHh4mCzV+WFhggAA54cgAECAIABAYKHGEH558gSVnMRfR0fyW7eLCh69fp0s1flhoYIwbsQcZ5dZBh+ZZTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMOT4+RkXh/WRhggAA54cgAEBgocYQ/vvyJSo5iTdv3kiv10MF42U5bzCoiKdkUNFHBhUNIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQwiCngTBR4JgCEHQkyD4SBAMIQh6EgQfCYIhBEFPguAjQTCEIOhJEHwkCIYQBD0Jgo8EwRCCoCdB8JEgGEIQ9CQIPhIEQ+IgoJ6TePPmjfR6PVQwXpbzxsIEAQDOD0EAgABBAIAAQQCAAEEAgABBAIAAQQCAAEEAgABBAIAAQQCAAEEAgABBAIAAQQCAAEEAgABBAIAAQQCABJH/A4i/an230jATAAAAAElFTkSuQmCC)\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "gDm8hKtsfy7p"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# criando uma series \n",
        "lista = ['Coda.Br', 2022, 'Excel', 'Python']\n",
        "series = pd.Series(lista)\n",
        "series"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w7f_86Avfviz",
        "outputId": "6f05ca91-1d47-4c31-ba1c-a1a6dc15702e"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    Coda.Br\n",
              "1       2022\n",
              "2      Excel\n",
              "3     Python\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# <font color='red'> Importar arquivos xlsx e csv </font>\n",
        "\n",
        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)\n",
        "\n",
        "\n",
        "\n",
        "1.   Precisamos carregar o arquivo para o ambiente Colab;\n",
        "2.   Iremos usar o método *read_csv* da biblioteca **Pandas** para importar arquivos de extesão csv, podemos também usar o *read_excel* para importar arquivos de extesão xls ou xlsx.\n"
      ],
      "metadata": {
        "id": "YaEHDrA6gNav"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Fonte:**\n",
        "\n",
        "Dados Abertos da ALESP: http://www.transparencia.sp.gov.br/buscaRemunera.html"
      ],
      "metadata": {
        "id": "epPXyih1geqI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Biblioteca que faz chamada para o Google Drive\n",
        "from google.colab import drive\n",
        "\n",
        "# Solicitando autorização na sua conta do Google Drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dbmx6np6hdFx",
        "outputId": "da7f258d-2e8f-448e-92ab-103f5cf1ebff"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dados = pd.read_csv('/content/drive/My Drive/2.Workshops/codaBr_2022/dados/remuneracao_202208.zip',\n",
        "                    sep=';', \n",
        "                    decimal=',',\n",
        "                    encoding='latin-1')\n",
        "dados\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 832
        },
        "id": "s08Cf_8nf8ZC",
        "outputId": "b9142996-7217-4904-dd74-6b2cb33f04bc"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                               NOME                                    CARGO  \\\n",
              "0           AAIRON TELES DE CAMARGO                   OFICIAL ADMINISTRATIVO   \n",
              "1             AALAN DA SILVA ARAUJO                                 SD 1C PM   \n",
              "2        AARAN ESTEVAO LIMA BARBOSA                                 CAP   PM   \n",
              "3                 AARAO DE OLIVEIRA                                 MAJ   PM   \n",
              "4            AARON DOUGLAS OLIVEIRA                                 CABO  PM   \n",
              "...                             ...                                      ...   \n",
              "1080814            ZUZU DE OLIVEIRA  BENEFICIARIO DE SERVIDOR ESTADUAL-IPESP   \n",
              "1080815      ZVONIMIR SERGIO SAVRON            PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "1080816    ZVONIMIRO VARVELLO PESUT  BENEFICIARIO DE SERVIDOR ESTADUAL-IPESP   \n",
              "1080817    ZVONIMIRO VARVELLO PESUT                                  CHEFE I   \n",
              "1080818       ZYON FERNANDO DA CRUZ            PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "\n",
              "                                  ORGÃO  REMUNERAÇÃO DO MÊS  \\\n",
              "0        DEPTO. EST. TRANSITO DETRAN SP             2645.13   \n",
              "1             POLICIA MILITAR SAO PAULO             4469.53   \n",
              "2             POLICIA MILITAR SAO PAULO            13135.95   \n",
              "3        SAO PAULO PREVIDENCIA   SPPREV            17921.51   \n",
              "4             POLICIA MILITAR SAO PAULO             5348.25   \n",
              "...                                 ...                 ...   \n",
              "1080814  SAO PAULO PREVIDENCIA   SPPREV             2900.09   \n",
              "1080815          SECRETARIA DA EDUCACAO             2275.00   \n",
              "1080816  SAO PAULO PREVIDENCIA   SPPREV             1212.00   \n",
              "1080817  SAO PAULO PREVIDENCIA   SPPREV             2708.80   \n",
              "1080818          SECRETARIA DA EDUCACAO             7000.00   \n",
              "\n",
              "         FÉRIAS E 13º SALÁRIO  PAGAMENTOS EVENTUAIS  \\\n",
              "0                        0.00                  0.00   \n",
              "1                        0.00               5744.25   \n",
              "2                        0.00               2898.00   \n",
              "3                        0.00                  0.00   \n",
              "4                        0.00                517.50   \n",
              "...                       ...                   ...   \n",
              "1080814               1450.05                  0.00   \n",
              "1080815                  0.00                  0.00   \n",
              "1080816                  0.00                  0.00   \n",
              "1080817                  0.00                  0.00   \n",
              "1080818                  0.00                  0.00   \n",
              "\n",
              "         LICENÇA PRÊMIO INDENIZADA  ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES  \\\n",
              "0                              0.0                                   105.29   \n",
              "1                              0.0                                   479.55   \n",
              "2                              0.0                                   255.76   \n",
              "3                              0.0                                     0.00   \n",
              "4                              0.0                                   959.10   \n",
              "...                            ...                                      ...   \n",
              "1080814                        0.0                                     0.00   \n",
              "1080815                        0.0                                     0.00   \n",
              "1080816                        0.0                                     0.00   \n",
              "1080817                        0.0                                     0.00   \n",
              "1080818                        0.0                                     0.00   \n",
              "\n",
              "         REDUTOR SALARIAL  TOTAL LIQUÍDO (R$)         GRUPO  \n",
              "0                     0.0              914.68        ATIVOS  \n",
              "1                     0.0             6822.99        ATIVOS  \n",
              "2                     0.0             9070.33        ATIVOS  \n",
              "3                     0.0            15838.47   APOSENTADOS  \n",
              "4                     0.0             5380.80        ATIVOS  \n",
              "...                   ...                 ...           ...  \n",
              "1080814               0.0             3902.31  PENSIONISTAS  \n",
              "1080815               0.0             2074.60        ATIVOS  \n",
              "1080816               0.0             1108.75  PENSIONISTAS  \n",
              "1080817               0.0             2341.38   APOSENTADOS  \n",
              "1080818               0.0             4488.16        ATIVOS  \n",
              "\n",
              "[1080819 rows x 11 columns]"
            ],
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              "      <th></th>\n",
              "      <th>NOME</th>\n",
              "      <th>CARGO</th>\n",
              "      <th>ORGÃO</th>\n",
              "      <th>REMUNERAÇÃO DO MÊS</th>\n",
              "      <th>FÉRIAS E 13º SALÁRIO</th>\n",
              "      <th>PAGAMENTOS EVENTUAIS</th>\n",
              "      <th>LICENÇA PRÊMIO INDENIZADA</th>\n",
              "      <th>ABONO PERMANÊNCIA &amp; OUTRAS INDENIZAÇÕES</th>\n",
              "      <th>REDUTOR SALARIAL</th>\n",
              "      <th>TOTAL LIQUÍDO (R$)</th>\n",
              "      <th>GRUPO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AAIRON TELES DE CAMARGO</td>\n",
              "      <td>OFICIAL ADMINISTRATIVO</td>\n",
              "      <td>DEPTO. EST. TRANSITO DETRAN SP</td>\n",
              "      <td>2645.13</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>105.29</td>\n",
              "      <td>0.0</td>\n",
              "      <td>914.68</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AALAN DA SILVA ARAUJO</td>\n",
              "      <td>SD 1C PM</td>\n",
              "      <td>POLICIA MILITAR SAO PAULO</td>\n",
              "      <td>4469.53</td>\n",
              "      <td>0.00</td>\n",
              "      <td>5744.25</td>\n",
              "      <td>0.0</td>\n",
              "      <td>479.55</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6822.99</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AARAN ESTEVAO LIMA BARBOSA</td>\n",
              "      <td>CAP   PM</td>\n",
              "      <td>POLICIA MILITAR SAO PAULO</td>\n",
              "      <td>13135.95</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2898.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>255.76</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9070.33</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>AARAO DE OLIVEIRA</td>\n",
              "      <td>MAJ   PM</td>\n",
              "      <td>SAO PAULO PREVIDENCIA   SPPREV</td>\n",
              "      <td>17921.51</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15838.47</td>\n",
              "      <td>APOSENTADOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AARON DOUGLAS OLIVEIRA</td>\n",
              "      <td>CABO  PM</td>\n",
              "      <td>POLICIA MILITAR SAO PAULO</td>\n",
              "      <td>5348.25</td>\n",
              "      <td>0.00</td>\n",
              "      <td>517.50</td>\n",
              "      <td>0.0</td>\n",
              "      <td>959.10</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5380.80</td>\n",
              "      <td>ATIVOS</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080814</th>\n",
              "      <td>ZUZU DE OLIVEIRA</td>\n",
              "      <td>BENEFICIARIO DE SERVIDOR ESTADUAL-IPESP</td>\n",
              "      <td>SAO PAULO PREVIDENCIA   SPPREV</td>\n",
              "      <td>2900.09</td>\n",
              "      <td>1450.05</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3902.31</td>\n",
              "      <td>PENSIONISTAS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080815</th>\n",
              "      <td>ZVONIMIR SERGIO SAVRON</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>2275.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2074.60</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080816</th>\n",
              "      <td>ZVONIMIRO VARVELLO PESUT</td>\n",
              "      <td>BENEFICIARIO DE SERVIDOR ESTADUAL-IPESP</td>\n",
              "      <td>SAO PAULO PREVIDENCIA   SPPREV</td>\n",
              "      <td>1212.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1108.75</td>\n",
              "      <td>PENSIONISTAS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080817</th>\n",
              "      <td>ZVONIMIRO VARVELLO PESUT</td>\n",
              "      <td>CHEFE I</td>\n",
              "      <td>SAO PAULO PREVIDENCIA   SPPREV</td>\n",
              "      <td>2708.80</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2341.38</td>\n",
              "      <td>APOSENTADOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080818</th>\n",
              "      <td>ZYON FERNANDO DA CRUZ</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>7000.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4488.16</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1080819 rows × 11 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b83cc2b4-1272-4117-8717-2e3d2ad050c8')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "          document.querySelector('#df-b83cc2b4-1272-4117-8717-2e3d2ad050c8 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
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              "          const element = document.querySelector('#df-b83cc2b4-1272-4117-8717-2e3d2ad050c8');\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",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Nota:** 1.048.576 linhas por 16.384 colunas do Excel."
      ],
      "metadata": {
        "id": "ywxvinPpiUDX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# verificando a dimensao dos dados\n",
        "dados.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QCO861GZg-92",
        "outputId": "665f0f2b-a6af-4b19-e486-4fbf644d326e"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1080819, 11)"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# verificando os nomes das colunas\n",
        "dados.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AMR6Tui5iooK",
        "outputId": "ea832889-32ca-4774-8d89-524060dd3560"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['NOME', 'CARGO', 'ORGÃO', 'REMUNERAÇÃO DO MÊS', 'FÉRIAS E 13º SALÁRIO',\n",
              "       'PAGAMENTOS EVENTUAIS', 'LICENÇA PRÊMIO INDENIZADA',\n",
              "       'ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES', 'REDUTOR SALARIAL',\n",
              "       'TOTAL LIQUÍDO (R$)', 'GRUPO'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# retorna por padrao as 5 primeiras linhas \n",
        "dados.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "kBjWACCYityD",
        "outputId": "9a460d7a-0222-4f99-e84b-3c689f94ec30"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                         NOME                   CARGO  \\\n",
              "0     AAIRON TELES DE CAMARGO  OFICIAL ADMINISTRATIVO   \n",
              "1       AALAN DA SILVA ARAUJO                SD 1C PM   \n",
              "2  AARAN ESTEVAO LIMA BARBOSA                CAP   PM   \n",
              "3           AARAO DE OLIVEIRA                MAJ   PM   \n",
              "4      AARON DOUGLAS OLIVEIRA                CABO  PM   \n",
              "\n",
              "                            ORGÃO  REMUNERAÇÃO DO MÊS  FÉRIAS E 13º SALÁRIO  \\\n",
              "0  DEPTO. EST. TRANSITO DETRAN SP             2645.13                   0.0   \n",
              "1       POLICIA MILITAR SAO PAULO             4469.53                   0.0   \n",
              "2       POLICIA MILITAR SAO PAULO            13135.95                   0.0   \n",
              "3  SAO PAULO PREVIDENCIA   SPPREV            17921.51                   0.0   \n",
              "4       POLICIA MILITAR SAO PAULO             5348.25                   0.0   \n",
              "\n",
              "   PAGAMENTOS EVENTUAIS  LICENÇA PRÊMIO INDENIZADA  \\\n",
              "0                  0.00                        0.0   \n",
              "1               5744.25                        0.0   \n",
              "2               2898.00                        0.0   \n",
              "3                  0.00                        0.0   \n",
              "4                517.50                        0.0   \n",
              "\n",
              "   ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES  REDUTOR SALARIAL  \\\n",
              "0                                   105.29               0.0   \n",
              "1                                   479.55               0.0   \n",
              "2                                   255.76               0.0   \n",
              "3                                     0.00               0.0   \n",
              "4                                   959.10               0.0   \n",
              "\n",
              "   TOTAL LIQUÍDO (R$)        GRUPO  \n",
              "0              914.68       ATIVOS  \n",
              "1             6822.99       ATIVOS  \n",
              "2             9070.33       ATIVOS  \n",
              "3            15838.47  APOSENTADOS  \n",
              "4             5380.80       ATIVOS  "
            ],
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              "\n",
              "  <div id=\"df-b148ccf1-2f7a-46bc-91e4-c62528ea3f6b\">\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>NOME</th>\n",
              "      <th>CARGO</th>\n",
              "      <th>ORGÃO</th>\n",
              "      <th>REMUNERAÇÃO DO MÊS</th>\n",
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              "      <th>GRUPO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>AAIRON TELES DE CAMARGO</td>\n",
              "      <td>OFICIAL ADMINISTRATIVO</td>\n",
              "      <td>DEPTO. EST. TRANSITO DETRAN SP</td>\n",
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              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AALAN DA SILVA ARAUJO</td>\n",
              "      <td>SD 1C PM</td>\n",
              "      <td>POLICIA MILITAR SAO PAULO</td>\n",
              "      <td>4469.53</td>\n",
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              "      <td>6822.99</td>\n",
              "      <td>ATIVOS</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AARAN ESTEVAO LIMA BARBOSA</td>\n",
              "      <td>CAP   PM</td>\n",
              "      <td>POLICIA MILITAR SAO PAULO</td>\n",
              "      <td>13135.95</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2898.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>255.76</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9070.33</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>AARAO DE OLIVEIRA</td>\n",
              "      <td>MAJ   PM</td>\n",
              "      <td>SAO PAULO PREVIDENCIA   SPPREV</td>\n",
              "      <td>17921.51</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15838.47</td>\n",
              "      <td>APOSENTADOS</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AARON DOUGLAS OLIVEIRA</td>\n",
              "      <td>CABO  PM</td>\n",
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              "      <td>5348.25</td>\n",
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              "      <td>517.50</td>\n",
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              "      <td>959.10</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5380.80</td>\n",
              "      <td>ATIVOS</td>\n",
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              "    <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-b148ccf1-2f7a-46bc-91e4-c62528ea3f6b 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-b148ccf1-2f7a-46bc-91e4-c62528ea3f6b');\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": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# retorna por padrao as 5 ultimas linhas \n",
        "dados.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "XrXWO9PLi3Gy",
        "outputId": "99fb9780-da06-474e-ce74-2d8db8bd1e17"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                             NOME                                    CARGO  \\\n",
              "1080814          ZUZU DE OLIVEIRA  BENEFICIARIO DE SERVIDOR ESTADUAL-IPESP   \n",
              "1080815    ZVONIMIR SERGIO SAVRON            PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "1080816  ZVONIMIRO VARVELLO PESUT  BENEFICIARIO DE SERVIDOR ESTADUAL-IPESP   \n",
              "1080817  ZVONIMIRO VARVELLO PESUT                                  CHEFE I   \n",
              "1080818     ZYON FERNANDO DA CRUZ            PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "\n",
              "                                  ORGÃO  REMUNERAÇÃO DO MÊS  \\\n",
              "1080814  SAO PAULO PREVIDENCIA   SPPREV             2900.09   \n",
              "1080815          SECRETARIA DA EDUCACAO             2275.00   \n",
              "1080816  SAO PAULO PREVIDENCIA   SPPREV             1212.00   \n",
              "1080817  SAO PAULO PREVIDENCIA   SPPREV             2708.80   \n",
              "1080818          SECRETARIA DA EDUCACAO             7000.00   \n",
              "\n",
              "         FÉRIAS E 13º SALÁRIO  PAGAMENTOS EVENTUAIS  \\\n",
              "1080814               1450.05                   0.0   \n",
              "1080815                  0.00                   0.0   \n",
              "1080816                  0.00                   0.0   \n",
              "1080817                  0.00                   0.0   \n",
              "1080818                  0.00                   0.0   \n",
              "\n",
              "         LICENÇA PRÊMIO INDENIZADA  ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES  \\\n",
              "1080814                        0.0                                      0.0   \n",
              "1080815                        0.0                                      0.0   \n",
              "1080816                        0.0                                      0.0   \n",
              "1080817                        0.0                                      0.0   \n",
              "1080818                        0.0                                      0.0   \n",
              "\n",
              "         REDUTOR SALARIAL  TOTAL LIQUÍDO (R$)         GRUPO  \n",
              "1080814               0.0             3902.31  PENSIONISTAS  \n",
              "1080815               0.0             2074.60        ATIVOS  \n",
              "1080816               0.0             1108.75  PENSIONISTAS  \n",
              "1080817               0.0             2341.38   APOSENTADOS  \n",
              "1080818               0.0             4488.16        ATIVOS  "
            ],
            "text/html": [
              "\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>NOME</th>\n",
              "      <th>CARGO</th>\n",
              "      <th>ORGÃO</th>\n",
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              "      <th>FÉRIAS E 13º SALÁRIO</th>\n",
              "      <th>PAGAMENTOS EVENTUAIS</th>\n",
              "      <th>LICENÇA PRÊMIO INDENIZADA</th>\n",
              "      <th>ABONO PERMANÊNCIA &amp; OUTRAS INDENIZAÇÕES</th>\n",
              "      <th>REDUTOR SALARIAL</th>\n",
              "      <th>TOTAL LIQUÍDO (R$)</th>\n",
              "      <th>GRUPO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1080814</th>\n",
              "      <td>ZUZU DE OLIVEIRA</td>\n",
              "      <td>BENEFICIARIO DE SERVIDOR ESTADUAL-IPESP</td>\n",
              "      <td>SAO PAULO PREVIDENCIA   SPPREV</td>\n",
              "      <td>2900.09</td>\n",
              "      <td>1450.05</td>\n",
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              "      <td>3902.31</td>\n",
              "      <td>PENSIONISTAS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080815</th>\n",
              "      <td>ZVONIMIR SERGIO SAVRON</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>2275.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2074.60</td>\n",
              "      <td>ATIVOS</td>\n",
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              "    <tr>\n",
              "      <th>1080816</th>\n",
              "      <td>ZVONIMIRO VARVELLO PESUT</td>\n",
              "      <td>BENEFICIARIO DE SERVIDOR ESTADUAL-IPESP</td>\n",
              "      <td>SAO PAULO PREVIDENCIA   SPPREV</td>\n",
              "      <td>1212.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1108.75</td>\n",
              "      <td>PENSIONISTAS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080817</th>\n",
              "      <td>ZVONIMIRO VARVELLO PESUT</td>\n",
              "      <td>CHEFE I</td>\n",
              "      <td>SAO PAULO PREVIDENCIA   SPPREV</td>\n",
              "      <td>2708.80</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2341.38</td>\n",
              "      <td>APOSENTADOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080818</th>\n",
              "      <td>ZYON FERNANDO DA CRUZ</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>7000.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4488.16</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-51aaa048-0dca-4402-b0ed-13c2c737b290')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  </svg>\n",
              "      </button>\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "    }\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",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-51aaa048-0dca-4402-b0ed-13c2c737b290 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-51aaa048-0dca-4402-b0ed-13c2c737b290');\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": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# algumas informacoes dos dados\n",
        "dados.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e3Nxf7qki8Yj",
        "outputId": "1a19793f-7598-4aad-d3d1-c5c2787cd9f4"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1080819 entries, 0 to 1080818\n",
            "Data columns (total 11 columns):\n",
            " #   Column                                   Non-Null Count    Dtype  \n",
            "---  ------                                   --------------    -----  \n",
            " 0   NOME                                     1080819 non-null  object \n",
            " 1   CARGO                                    1080453 non-null  object \n",
            " 2   ORGÃO                                    1080819 non-null  object \n",
            " 3   REMUNERAÇÃO DO MÊS                       1080819 non-null  float64\n",
            " 4   FÉRIAS E 13º SALÁRIO                     1080819 non-null  float64\n",
            " 5   PAGAMENTOS EVENTUAIS                     1080819 non-null  float64\n",
            " 6   LICENÇA PRÊMIO INDENIZADA                1080819 non-null  float64\n",
            " 7   ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES  1080819 non-null  float64\n",
            " 8   REDUTOR SALARIAL                         1080819 non-null  float64\n",
            " 9   TOTAL LIQUÍDO (R$)                       1080819 non-null  float64\n",
            " 10  GRUPO                                    1080819 non-null  object \n",
            "dtypes: float64(7), object(4)\n",
            "memory usage: 90.7+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# <font color='red'> Queremos responder algumas perguntas, a partir dos dados de remuneração de funcionários do município de SP que carregamos. </font>\n",
        "\n",
        "1. Qual foi o valor total pago no mês de agosto de 2022?\n",
        "\n",
        "2. Qual a quantidade de pessoas em cada status: Ativos, Aposentados e Pensionistas?\n",
        "\n",
        "3. Qual o custo de pagamento pela Secretária da Educação por Cargo?\n",
        "\n",
        "4. Qual o custo de pagamento por Orgão e Cargo?"
      ],
      "metadata": {
        "id": "u66zABnFjgMU"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1. Qual foi o valor pago no mês de agosto de 2022?"
      ],
      "metadata": {
        "id": "kpyHppLBkHDZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# utilizando a função sum\n",
        "dados.sum(numeric_only=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4_NmGY6EjAf7",
        "outputId": "1c7e91be-6023-4c13-e108-96610b4e943a"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "REMUNERAÇÃO DO MÊS                        6,498,627,996.54\n",
              "FÉRIAS E 13º SALÁRIO                        305,840,767.93\n",
              "PAGAMENTOS EVENTUAIS                        361,707,183.48\n",
              "LICENÇA PRÊMIO INDENIZADA                    30,603,220.61\n",
              "ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES     164,139,375.76\n",
              "REDUTOR SALARIAL                           -123,102,559.75\n",
              "TOTAL LIQUÍDO (R$)                        5,004,915,260.58\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# formatando os valores float\n",
        "pd.options.display.float_format = '{:,.2f}'.format"
      ],
      "metadata": {
        "id": "hIi4n9gKkNG7"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# utilizando a função sum\n",
        "dados.sum(numeric_only=True).sort_values(ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RrsbmbiJkf5q",
        "outputId": "a27da621-e429-4b9b-9170-fa890ad54122"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "REMUNERAÇÃO DO MÊS                        6,498,627,996.54\n",
              "TOTAL LIQUÍDO (R$)                        5,004,915,260.58\n",
              "PAGAMENTOS EVENTUAIS                        361,707,183.48\n",
              "FÉRIAS E 13º SALÁRIO                        305,840,767.93\n",
              "ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES     164,139,375.76\n",
              "LICENÇA PRÊMIO INDENIZADA                    30,603,220.61\n",
              "REDUTOR SALARIAL                           -123,102,559.75\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2. Qual a quantidade de pessoas em cada status: Ativos, Aposentados e Pensionistas?"
      ],
      "metadata": {
        "id": "LbEUoj8Dk3-O"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# utilizando a função valeu counts \n",
        "dados['GRUPO'].value_counts()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XFyA6R4Qkl_K",
        "outputId": "191b8894-5c80-44f0-ec5c-c74b73b4bd5e"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ATIVOS          562428\n",
              "APOSENTADOS     370524\n",
              "PENSIONISTAS    147867\n",
              "Name: GRUPO, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# utilizando a função valeu counts c/ proporção dos valores \n",
        "dados['GRUPO'].value_counts(normalize=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5-XDmg61k-lz",
        "outputId": "0b8f2b71-0b62-4605-b7e0-0c628a2bd49d"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ATIVOS         0.52\n",
              "APOSENTADOS    0.34\n",
              "PENSIONISTAS   0.14\n",
              "Name: GRUPO, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 3. Qual o valor pago para a área da Educação?"
      ],
      "metadata": {
        "id": "m3eP095JlbYm"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Selecionando por coluna\n",
        "\n",
        "![filtro.PNG](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "itNZyIckl9uC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# filtrando por coluna\n",
        "dados.loc[:, 'ORGÃO']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XVL_nf2ZlnyW",
        "outputId": "0680c5e5-b06f-4750-c8b4-633d74afdad3"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0          DEPTO. EST. TRANSITO DETRAN SP\n",
              "1               POLICIA MILITAR SAO PAULO\n",
              "2               POLICIA MILITAR SAO PAULO\n",
              "3          SAO PAULO PREVIDENCIA   SPPREV\n",
              "4               POLICIA MILITAR SAO PAULO\n",
              "                        ...              \n",
              "1080814    SAO PAULO PREVIDENCIA   SPPREV\n",
              "1080815            SECRETARIA DA EDUCACAO\n",
              "1080816    SAO PAULO PREVIDENCIA   SPPREV\n",
              "1080817    SAO PAULO PREVIDENCIA   SPPREV\n",
              "1080818            SECRETARIA DA EDUCACAO\n",
              "Name: ORGÃO, Length: 1080819, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Selecionando por linhas\n",
        "\n",
        "![filtroRows.PNG](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "RLfpyGTnmItF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# filtrando por coluna\n",
        "dados.loc[1080815, :]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DxKLG3KylkWB",
        "outputId": "68764c7a-b8f7-45c1-be78-20c9d0268cb8"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NOME                                              ZVONIMIR SERGIO SAVRON\n",
              "CARGO                                      PROF ENSINO FUNDAMENTAL/MEDIO\n",
              "ORGÃO                                             SECRETARIA DA EDUCACAO\n",
              "REMUNERAÇÃO DO MÊS                                              2,275.00\n",
              "FÉRIAS E 13º SALÁRIO                                                0.00\n",
              "PAGAMENTOS EVENTUAIS                                                0.00\n",
              "LICENÇA PRÊMIO INDENIZADA                                           0.00\n",
              "ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES                             0.00\n",
              "REDUTOR SALARIAL                                                    0.00\n",
              "TOTAL LIQUÍDO (R$)                                              2,074.60\n",
              "GRUPO                                                             ATIVOS\n",
              "Name: 1080815, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# selecionando uma linha (DataFrame) - 2 dimensões (utilizando .loc)\n",
        "dados.loc[[1080815], :]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 194
        },
        "id": "8b9W1l0Wmv5Y",
        "outputId": "0e2030d5-d875-4363-b193-2af35506ba6a"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                           NOME                          CARGO  \\\n",
              "1080815  ZVONIMIR SERGIO SAVRON  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "\n",
              "                          ORGÃO  REMUNERAÇÃO DO MÊS  FÉRIAS E 13º SALÁRIO  \\\n",
              "1080815  SECRETARIA DA EDUCACAO            2,275.00                  0.00   \n",
              "\n",
              "         PAGAMENTOS EVENTUAIS  LICENÇA PRÊMIO INDENIZADA  \\\n",
              "1080815                  0.00                       0.00   \n",
              "\n",
              "         ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES  REDUTOR SALARIAL  \\\n",
              "1080815                                     0.00              0.00   \n",
              "\n",
              "         TOTAL LIQUÍDO (R$)   GRUPO  \n",
              "1080815            2,074.60  ATIVOS  "
            ],
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              "    <div class=\"colab-df-container\">\n",
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              "      <th>1080815</th>\n",
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              "          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": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# criando um filtro com apenas os dados da SECRETARIA DA EDUCACAO\n",
        "dados['ORGÃO'] == 'SECRETARIA DA EDUCACAO'"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "md3E3CDEmzDi",
        "outputId": "b1dfcaed-742d-4f15-9084-a11be4a00740"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0          False\n",
              "1          False\n",
              "2          False\n",
              "3          False\n",
              "4          False\n",
              "           ...  \n",
              "1080814    False\n",
              "1080815     True\n",
              "1080816    False\n",
              "1080817    False\n",
              "1080818     True\n",
              "Name: ORGÃO, Length: 1080819, dtype: bool"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "filtro = dados['ORGÃO'] == 'SECRETARIA DA EDUCACAO'\n",
        "filtro"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aMpzYWkPnRf6",
        "outputId": "a9af42ba-6be7-4ef0-9422-22e3fcf58f29"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0          False\n",
              "1          False\n",
              "2          False\n",
              "3          False\n",
              "4          False\n",
              "           ...  \n",
              "1080814    False\n",
              "1080815     True\n",
              "1080816    False\n",
              "1080817    False\n",
              "1080818     True\n",
              "Name: ORGÃO, Length: 1080819, dtype: bool"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# filtrando o dataframe \n",
        "dados.loc[filtro]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 676
        },
        "id": "gyxDdYE_nWUy",
        "outputId": "48820ca2-8c4a-4efc-c1ff-6fe05ca016a5"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                  NOME                          CARGO  \\\n",
              "8                    AARON MARQUES FRE  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "22             ABADIA DONIZETE REZENDE  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "47       ABATA APARECIDA RIBEIRO ROCHA  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "56              ABDA PESSONI M CAMARGO              DIRETOR DE ESCOLA   \n",
              "57               ABDA SILVA DE SANTANA  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "...                                ...                            ...   \n",
              "1080796         ZUMELICE FERREIRA LIMA  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "1080801      ZUNAIDE DOS SANTOS ARAUJO    PROFESSOR EDUCACAO BASICA I   \n",
              "1080810  ZURMA DE SOUZA PINTO BERNARDI  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "1080815         ZVONIMIR SERGIO SAVRON  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "1080818          ZYON FERNANDO DA CRUZ  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "\n",
              "                          ORGÃO  REMUNERAÇÃO DO MÊS  FÉRIAS E 13º SALÁRIO  \\\n",
              "8        SECRETARIA DA EDUCACAO            2,975.00                  0.00   \n",
              "22       SECRETARIA DA EDUCACAO            5,000.00                  0.00   \n",
              "47       SECRETARIA DA EDUCACAO            3,317.50                  0.00   \n",
              "56       SECRETARIA DA EDUCACAO            8,767.79                  0.00   \n",
              "57       SECRETARIA DA EDUCACAO                0.00                  0.00   \n",
              "...                         ...                 ...                   ...   \n",
              "1080796  SECRETARIA DA EDUCACAO            3,327.38                  0.00   \n",
              "1080801  SECRETARIA DA EDUCACAO            4,655.75                  0.00   \n",
              "1080810  SECRETARIA DA EDUCACAO            7,000.00                  0.00   \n",
              "1080815  SECRETARIA DA EDUCACAO            2,275.00                  0.00   \n",
              "1080818  SECRETARIA DA EDUCACAO            7,000.00                  0.00   \n",
              "\n",
              "         PAGAMENTOS EVENTUAIS  LICENÇA PRÊMIO INDENIZADA  \\\n",
              "8                        0.00                       0.00   \n",
              "22                       0.00                       0.00   \n",
              "47                       0.00                       0.00   \n",
              "56                       0.00                       0.00   \n",
              "57                     754.78                       0.00   \n",
              "...                       ...                        ...   \n",
              "1080796                392.86                       0.00   \n",
              "1080801                666.88                       0.00   \n",
              "1080810                  0.00                       0.00   \n",
              "1080815                  0.00                       0.00   \n",
              "1080818                  0.00                       0.00   \n",
              "\n",
              "         ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES  REDUTOR SALARIAL  \\\n",
              "8                                           0.00              0.00   \n",
              "22                                          0.00              0.00   \n",
              "47                                          0.00              0.00   \n",
              "56                                        450.00              0.00   \n",
              "57                                        -45.28              0.00   \n",
              "...                                          ...               ...   \n",
              "1080796                                     0.00              0.00   \n",
              "1080801                                     0.00              0.00   \n",
              "1080810                                     0.00              0.00   \n",
              "1080815                                     0.00              0.00   \n",
              "1080818                                     0.00              0.00   \n",
              "\n",
              "         TOTAL LIQUÍDO (R$)   GRUPO  \n",
              "8                  2,648.63  ATIVOS  \n",
              "22                 4,095.60  ATIVOS  \n",
              "47                 2,913.64  ATIVOS  \n",
              "56                 6,684.38  ATIVOS  \n",
              "57                   626.47  ATIVOS  \n",
              "...                     ...     ...  \n",
              "1080796            3,317.10  ATIVOS  \n",
              "1080801            4,246.86  ATIVOS  \n",
              "1080810            5,352.63  ATIVOS  \n",
              "1080815            2,074.60  ATIVOS  \n",
              "1080818            4,488.16  ATIVOS  \n",
              "\n",
              "[263655 rows x 11 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f8c41d77-e772-4a60-9429-612f31b414cb\">\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>NOME</th>\n",
              "      <th>CARGO</th>\n",
              "      <th>ORGÃO</th>\n",
              "      <th>REMUNERAÇÃO DO MÊS</th>\n",
              "      <th>FÉRIAS E 13º SALÁRIO</th>\n",
              "      <th>PAGAMENTOS EVENTUAIS</th>\n",
              "      <th>LICENÇA PRÊMIO INDENIZADA</th>\n",
              "      <th>ABONO PERMANÊNCIA &amp; OUTRAS INDENIZAÇÕES</th>\n",
              "      <th>REDUTOR SALARIAL</th>\n",
              "      <th>TOTAL LIQUÍDO (R$)</th>\n",
              "      <th>GRUPO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>AARON MARQUES FRE</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>2,975.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2,648.63</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>ABADIA DONIZETE REZENDE</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>5,000.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4,095.60</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>ABATA APARECIDA RIBEIRO ROCHA</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>3,317.50</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2,913.64</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>ABDA PESSONI M CAMARGO</td>\n",
              "      <td>DIRETOR DE ESCOLA</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>8,767.79</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>450.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>6,684.38</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>ABDA SILVA DE SANTANA</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>754.78</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-45.28</td>\n",
              "      <td>0.00</td>\n",
              "      <td>626.47</td>\n",
              "      <td>ATIVOS</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080796</th>\n",
              "      <td>ZUMELICE FERREIRA LIMA</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>3,327.38</td>\n",
              "      <td>0.00</td>\n",
              "      <td>392.86</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>3,317.10</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080801</th>\n",
              "      <td>ZUNAIDE DOS SANTOS ARAUJO</td>\n",
              "      <td>PROFESSOR EDUCACAO BASICA I</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>4,655.75</td>\n",
              "      <td>0.00</td>\n",
              "      <td>666.88</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4,246.86</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080810</th>\n",
              "      <td>ZURMA DE SOUZA PINTO BERNARDI</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>7,000.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>5,352.63</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080815</th>\n",
              "      <td>ZVONIMIR SERGIO SAVRON</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>2,275.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2,074.60</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080818</th>\n",
              "      <td>ZYON FERNANDO DA CRUZ</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>7,000.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4,488.16</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>263655 rows × 11 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f8c41d77-e772-4a60-9429-612f31b414cb')\"\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",
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              "  </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",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f8c41d77-e772-4a60-9429-612f31b414cb 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-f8c41d77-e772-4a60-9429-612f31b414cb');\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",
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              "          element.appendChild(docLink);\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# salvando o dataframe em uma nova variável\n",
        "dados_educacao = dados.loc[filtro]\n",
        "dados_educacao"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 676
        },
        "id": "AvfetlQindDq",
        "outputId": "a7da1c80-f67b-4452-ae54-19702902fb3e"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                  NOME                          CARGO  \\\n",
              "8                    AARON MARQUES FRE  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "22             ABADIA DONIZETE REZENDE  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "47       ABATA APARECIDA RIBEIRO ROCHA  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "56              ABDA PESSONI M CAMARGO              DIRETOR DE ESCOLA   \n",
              "57               ABDA SILVA DE SANTANA  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "...                                ...                            ...   \n",
              "1080796         ZUMELICE FERREIRA LIMA  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "1080801      ZUNAIDE DOS SANTOS ARAUJO    PROFESSOR EDUCACAO BASICA I   \n",
              "1080810  ZURMA DE SOUZA PINTO BERNARDI  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "1080815         ZVONIMIR SERGIO SAVRON  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "1080818          ZYON FERNANDO DA CRUZ  PROF ENSINO FUNDAMENTAL/MEDIO   \n",
              "\n",
              "                          ORGÃO  REMUNERAÇÃO DO MÊS  FÉRIAS E 13º SALÁRIO  \\\n",
              "8        SECRETARIA DA EDUCACAO            2,975.00                  0.00   \n",
              "22       SECRETARIA DA EDUCACAO            5,000.00                  0.00   \n",
              "47       SECRETARIA DA EDUCACAO            3,317.50                  0.00   \n",
              "56       SECRETARIA DA EDUCACAO            8,767.79                  0.00   \n",
              "57       SECRETARIA DA EDUCACAO                0.00                  0.00   \n",
              "...                         ...                 ...                   ...   \n",
              "1080796  SECRETARIA DA EDUCACAO            3,327.38                  0.00   \n",
              "1080801  SECRETARIA DA EDUCACAO            4,655.75                  0.00   \n",
              "1080810  SECRETARIA DA EDUCACAO            7,000.00                  0.00   \n",
              "1080815  SECRETARIA DA EDUCACAO            2,275.00                  0.00   \n",
              "1080818  SECRETARIA DA EDUCACAO            7,000.00                  0.00   \n",
              "\n",
              "         PAGAMENTOS EVENTUAIS  LICENÇA PRÊMIO INDENIZADA  \\\n",
              "8                        0.00                       0.00   \n",
              "22                       0.00                       0.00   \n",
              "47                       0.00                       0.00   \n",
              "56                       0.00                       0.00   \n",
              "57                     754.78                       0.00   \n",
              "...                       ...                        ...   \n",
              "1080796                392.86                       0.00   \n",
              "1080801                666.88                       0.00   \n",
              "1080810                  0.00                       0.00   \n",
              "1080815                  0.00                       0.00   \n",
              "1080818                  0.00                       0.00   \n",
              "\n",
              "         ABONO PERMANÊNCIA & OUTRAS INDENIZAÇÕES  REDUTOR SALARIAL  \\\n",
              "8                                           0.00              0.00   \n",
              "22                                          0.00              0.00   \n",
              "47                                          0.00              0.00   \n",
              "56                                        450.00              0.00   \n",
              "57                                        -45.28              0.00   \n",
              "...                                          ...               ...   \n",
              "1080796                                     0.00              0.00   \n",
              "1080801                                     0.00              0.00   \n",
              "1080810                                     0.00              0.00   \n",
              "1080815                                     0.00              0.00   \n",
              "1080818                                     0.00              0.00   \n",
              "\n",
              "         TOTAL LIQUÍDO (R$)   GRUPO  \n",
              "8                  2,648.63  ATIVOS  \n",
              "22                 4,095.60  ATIVOS  \n",
              "47                 2,913.64  ATIVOS  \n",
              "56                 6,684.38  ATIVOS  \n",
              "57                   626.47  ATIVOS  \n",
              "...                     ...     ...  \n",
              "1080796            3,317.10  ATIVOS  \n",
              "1080801            4,246.86  ATIVOS  \n",
              "1080810            5,352.63  ATIVOS  \n",
              "1080815            2,074.60  ATIVOS  \n",
              "1080818            4,488.16  ATIVOS  \n",
              "\n",
              "[263655 rows x 11 columns]"
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>NOME</th>\n",
              "      <th>CARGO</th>\n",
              "      <th>ORGÃO</th>\n",
              "      <th>REMUNERAÇÃO DO MÊS</th>\n",
              "      <th>FÉRIAS E 13º SALÁRIO</th>\n",
              "      <th>PAGAMENTOS EVENTUAIS</th>\n",
              "      <th>LICENÇA PRÊMIO INDENIZADA</th>\n",
              "      <th>ABONO PERMANÊNCIA &amp; OUTRAS INDENIZAÇÕES</th>\n",
              "      <th>REDUTOR SALARIAL</th>\n",
              "      <th>TOTAL LIQUÍDO (R$)</th>\n",
              "      <th>GRUPO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>AARON MARQUES FRE</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>2,975.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2,648.63</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>ABADIA DONIZETE REZENDE</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>5,000.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4,095.60</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>ABATA APARECIDA RIBEIRO ROCHA</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>3,317.50</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2,913.64</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>ABDA PESSONI M CAMARGO</td>\n",
              "      <td>DIRETOR DE ESCOLA</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>8,767.79</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>450.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>6,684.38</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>ABDA SILVA DE SANTANA</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>754.78</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-45.28</td>\n",
              "      <td>0.00</td>\n",
              "      <td>626.47</td>\n",
              "      <td>ATIVOS</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080796</th>\n",
              "      <td>ZUMELICE FERREIRA LIMA</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>3,327.38</td>\n",
              "      <td>0.00</td>\n",
              "      <td>392.86</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>3,317.10</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080801</th>\n",
              "      <td>ZUNAIDE DOS SANTOS ARAUJO</td>\n",
              "      <td>PROFESSOR EDUCACAO BASICA I</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>4,655.75</td>\n",
              "      <td>0.00</td>\n",
              "      <td>666.88</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4,246.86</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080810</th>\n",
              "      <td>ZURMA DE SOUZA PINTO BERNARDI</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>7,000.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>5,352.63</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080815</th>\n",
              "      <td>ZVONIMIR SERGIO SAVRON</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>2,275.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2,074.60</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1080818</th>\n",
              "      <td>ZYON FERNANDO DA CRUZ</td>\n",
              "      <td>PROF ENSINO FUNDAMENTAL/MEDIO</td>\n",
              "      <td>SECRETARIA DA EDUCACAO</td>\n",
              "      <td>7,000.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4,488.16</td>\n",
              "      <td>ATIVOS</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>263655 rows × 11 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e26a61eb-3329-4745-ac4d-b02e89ac7ac3')\"\n",
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              "\n",
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# respondendo a pergunta:\n",
        "dados_educacao['REMUNERAÇÃO DO MÊS'].sum()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "prEWsZcvnmOC",
        "outputId": "a7b597c6-f95f-4e25-8b39-2eab29c3cfa9"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1284253023.76"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 4. Qual o custo de pagamento pela Secretária da Educação por Cargo?"
      ],
      "metadata": {
        "id": "qJfBjqj3oJf3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# utilizando a função groupby + agg\n",
        "pvt = dados_educacao.groupby(['ORGÃO', 'CARGO'])['REMUNERAÇÃO DO MÊS'].agg(['sum', 'count'])\n",
        "pvt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "2smq4Tm6oK56",
        "outputId": "86a20a4c-5993-43dc-8b0e-95f6f75fb79f"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                                sum   count\n",
              "ORGÃO                  CARGO                                               \n",
              "SECRETARIA DA EDUCACAO AG.TEC. DE ASSIST. A SAUDE         72,511.08      31\n",
              "                       AGENTE DE ORGANIZACAO ESCOLAR  83,125,258.06   31368\n",
              "                       AGENTE DE SERVICOS ESCOLARES    4,905,935.49    2290\n",
              "                       ANALISTA  ADMINISTRATIVO          706,068.15     221\n",
              "                       ANALISTA DE TECNOLOGIA            252,579.76      82\n",
              "                       ANALISTA SOCIOCULTURAL            102,153.59      32\n",
              "                       ASSESSOR DE GABINETE I              4,615.36       2\n",
              "                       ASSESSOR DE GABINETE II             2,526.32       1\n",
              "                       ASSESSOR I                         13,959.47       8\n",
              "                       ASSESSOR II                       760,739.65     370\n",
              "                       ASSESSOR TEC. DE COORDENADOR       57,882.28       9\n",
              "                       ASSESSOR TEC. DE GABINETE I        26,013.30       7\n",
              "                       ASSESSOR TEC. DE GABINETE II       71,255.59      15\n",
              "                       ASSESSOR TEC. DE GABINETE III     155,619.35      28\n",
              "                       ASSESSOR TEC. DE GABINETE IV      140,447.18      15\n",
              "                       ASSESSOR TECNICO I                236,946.50      83\n",
              "                       ASSESSOR TECNICO II                85,987.22      25\n",
              "                       ASSESSOR TECNICO III              169,329.68      38\n",
              "                       ASSESSOR TECNICO IV                90,967.88      19\n",
              "                       ASSESSOR TECNICO V                153,061.16      28\n",
              "                       ASSISTENTE ADM. ESCOLAR           201,128.45      49\n",
              "                       AUXILIAR SERV.GERAIS              365,536.97     163\n",
              "                       CHEFE I                             3,840.43       1\n",
              "                       COORDENADOR                        54,831.94       5\n",
              "                       DIRETOR DE ESCOLA              43,969,441.22    4532\n",
              "                       DIRETOR ESCOLAR                   982,552.78     110\n",
              "                       DIRETOR I                       2,389,828.25     628\n",
              "                       DIRETOR II                        448,427.93      93\n",
              "                       DIRETOR TECNICO I               1,594,837.84     318\n",
              "                       DIRETOR TECNICO II              1,407,415.31     234\n",
              "                       DIRETOR TECNICO III               146,463.32      19\n",
              "                       DIRIGENTE REGIONAL DE ENSINO    1,400,498.39      90\n",
              "                       ESTAGIARIO                          1,031.63       1\n",
              "                       EXECUTIVO PUBLICO               1,377,848.87     263\n",
              "                       OFICIAL ADMINISTRATIVO          1,912,879.62     819\n",
              "                       OFICIAL OPERACIONAL                 4,175.14       2\n",
              "                       OUTROS VINCULOS                     7,583.85      13\n",
              "                       PROF ENSINO FUNDAMENTAL/MEDIO 511,530,236.30  102682\n",
              "                       PROFESSOR EDUCACAO BASICA I    84,746,209.44   18330\n",
              "                       PROFESSOR EDUCACAO BASICA II  518,480,911.37   97648\n",
              "                       PROFESSOR EDUCACAO BASICA-I       891,298.65     143\n",
              "                       PROFESSOR II                        5,240.43      24\n",
              "                       SECRETARIO DE ESCOLA            5,882,137.57    1306\n",
              "                       SECRETARIO DE ESTADO               20,743.72       1\n",
              "                       SECRETARIO EXECUTIVO               24,843.05       2\n",
              "                       SUPERVISOR DE ENSINO           15,048,703.84    1480\n",
              "                       SUPERVISOR EDUCACIONAL            220,520.38      27"
            ],
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              "\n",
              "  <div id=\"df-2cf2b0c7-9338-417a-8c05-95fe068885ed\">\n",
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              "      <th></th>\n",
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              "      <th>sum</th>\n",
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              "    <tr>\n",
              "      <th>ORGÃO</th>\n",
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              "      <th rowspan=\"47\" valign=\"top\">SECRETARIA DA EDUCACAO</th>\n",
              "      <th>AG.TEC. DE ASSIST. A SAUDE</th>\n",
              "      <td>72,511.08</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AGENTE DE ORGANIZACAO ESCOLAR</th>\n",
              "      <td>83,125,258.06</td>\n",
              "      <td>31368</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AGENTE DE SERVICOS ESCOLARES</th>\n",
              "      <td>4,905,935.49</td>\n",
              "      <td>2290</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ANALISTA  ADMINISTRATIVO</th>\n",
              "      <td>706,068.15</td>\n",
              "      <td>221</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ANALISTA DE TECNOLOGIA</th>\n",
              "      <td>252,579.76</td>\n",
              "      <td>82</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ANALISTA SOCIOCULTURAL</th>\n",
              "      <td>102,153.59</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR DE GABINETE I</th>\n",
              "      <td>4,615.36</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR DE GABINETE II</th>\n",
              "      <td>2,526.32</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR I</th>\n",
              "      <td>13,959.47</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR II</th>\n",
              "      <td>760,739.65</td>\n",
              "      <td>370</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR TEC. DE COORDENADOR</th>\n",
              "      <td>57,882.28</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR TEC. DE GABINETE I</th>\n",
              "      <td>26,013.30</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR TEC. DE GABINETE II</th>\n",
              "      <td>71,255.59</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR TEC. DE GABINETE III</th>\n",
              "      <td>155,619.35</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR TEC. DE GABINETE IV</th>\n",
              "      <td>140,447.18</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR TECNICO I</th>\n",
              "      <td>236,946.50</td>\n",
              "      <td>83</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR TECNICO II</th>\n",
              "      <td>85,987.22</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR TECNICO III</th>\n",
              "      <td>169,329.68</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR TECNICO IV</th>\n",
              "      <td>90,967.88</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSESSOR TECNICO V</th>\n",
              "      <td>153,061.16</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSISTENTE ADM. ESCOLAR</th>\n",
              "      <td>201,128.45</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AUXILIAR SERV.GERAIS</th>\n",
              "      <td>365,536.97</td>\n",
              "      <td>163</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CHEFE I</th>\n",
              "      <td>3,840.43</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>COORDENADOR</th>\n",
              "      <td>54,831.94</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DIRETOR DE ESCOLA</th>\n",
              "      <td>43,969,441.22</td>\n",
              "      <td>4532</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DIRETOR ESCOLAR</th>\n",
              "      <td>982,552.78</td>\n",
              "      <td>110</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DIRETOR I</th>\n",
              "      <td>2,389,828.25</td>\n",
              "      <td>628</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DIRETOR II</th>\n",
              "      <td>448,427.93</td>\n",
              "      <td>93</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DIRETOR TECNICO I</th>\n",
              "      <td>1,594,837.84</td>\n",
              "      <td>318</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DIRETOR TECNICO II</th>\n",
              "      <td>1,407,415.31</td>\n",
              "      <td>234</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DIRETOR TECNICO III</th>\n",
              "      <td>146,463.32</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DIRIGENTE REGIONAL DE ENSINO</th>\n",
              "      <td>1,400,498.39</td>\n",
              "      <td>90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ESTAGIARIO</th>\n",
              "      <td>1,031.63</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EXECUTIVO PUBLICO</th>\n",
              "      <td>1,377,848.87</td>\n",
              "      <td>263</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OFICIAL ADMINISTRATIVO</th>\n",
              "      <td>1,912,879.62</td>\n",
              "      <td>819</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OFICIAL OPERACIONAL</th>\n",
              "      <td>4,175.14</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OUTROS VINCULOS</th>\n",
              "      <td>7,583.85</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PROF ENSINO FUNDAMENTAL/MEDIO</th>\n",
              "      <td>511,530,236.30</td>\n",
              "      <td>102682</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PROFESSOR EDUCACAO BASICA I</th>\n",
              "      <td>84,746,209.44</td>\n",
              "      <td>18330</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PROFESSOR EDUCACAO BASICA II</th>\n",
              "      <td>518,480,911.37</td>\n",
              "      <td>97648</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PROFESSOR EDUCACAO BASICA-I</th>\n",
              "      <td>891,298.65</td>\n",
              "      <td>143</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PROFESSOR II</th>\n",
              "      <td>5,240.43</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SECRETARIO DE ESCOLA</th>\n",
              "      <td>5,882,137.57</td>\n",
              "      <td>1306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SECRETARIO DE ESTADO</th>\n",
              "      <td>20,743.72</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SECRETARIO EXECUTIVO</th>\n",
              "      <td>24,843.05</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SUPERVISOR DE ENSINO</th>\n",
              "      <td>15,048,703.84</td>\n",
              "      <td>1480</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SUPERVISOR EDUCACIONAL</th>\n",
              "      <td>220,520.38</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2cf2b0c7-9338-417a-8c05-95fe068885ed')\"\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "    .colab-df-convert:hover {\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-2cf2b0c7-9338-417a-8c05-95fe068885ed button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# <font color='red'> Mapa de Calor </font>"
      ],
      "metadata": {
        "id": "rRLXQLncpIgr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# biblioteca seaborn\n",
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "bcUpl8VhoTNK"
      },
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# paleta de cor\n",
        "paleta_cor = sns.light_palette('red', as_cmap=True)"
      ],
      "metadata": {
        "id": "onKf7JMfpMaK"
      },
      "execution_count": 62,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# cores gradientes\n",
        "pvt.style.background_gradient(cmap=paleta_cor).set_precision(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "OnA2W2EwpPqy",
        "outputId": "53e4c82e-f385-43f1-bd6d-a918e604c5ca"
      },
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:2: FutureWarning: this method is deprecated in favour of `Styler.format(precision=..)`\n",
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              "      <th class=\"col_heading level0 col0\" >sum</th>\n",
              "      <th class=\"col_heading level0 col1\" >count</th>\n",
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              "      <th id=\"T_df5d1_level1_row0\" class=\"row_heading level1 row0\" >AG.TEC. DE ASSIST. A SAUDE</th>\n",
              "      <td id=\"T_df5d1_row0_col0\" class=\"data row0 col0\" >72511.08</td>\n",
              "      <td id=\"T_df5d1_row0_col1\" class=\"data row0 col1\" >31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row1\" class=\"row_heading level1 row1\" >AGENTE DE ORGANIZACAO ESCOLAR</th>\n",
              "      <td id=\"T_df5d1_row1_col0\" class=\"data row1 col0\" >83125258.06</td>\n",
              "      <td id=\"T_df5d1_row1_col1\" class=\"data row1 col1\" >31368</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row2\" class=\"row_heading level1 row2\" >AGENTE DE SERVICOS ESCOLARES</th>\n",
              "      <td id=\"T_df5d1_row2_col0\" class=\"data row2 col0\" >4905935.49</td>\n",
              "      <td id=\"T_df5d1_row2_col1\" class=\"data row2 col1\" >2290</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row3\" class=\"row_heading level1 row3\" >ANALISTA  ADMINISTRATIVO</th>\n",
              "      <td id=\"T_df5d1_row3_col0\" class=\"data row3 col0\" >706068.15</td>\n",
              "      <td id=\"T_df5d1_row3_col1\" class=\"data row3 col1\" >221</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row4\" class=\"row_heading level1 row4\" >ANALISTA DE TECNOLOGIA</th>\n",
              "      <td id=\"T_df5d1_row4_col0\" class=\"data row4 col0\" >252579.76</td>\n",
              "      <td id=\"T_df5d1_row4_col1\" class=\"data row4 col1\" >82</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row5\" class=\"row_heading level1 row5\" >ANALISTA SOCIOCULTURAL</th>\n",
              "      <td id=\"T_df5d1_row5_col0\" class=\"data row5 col0\" >102153.59</td>\n",
              "      <td id=\"T_df5d1_row5_col1\" class=\"data row5 col1\" >32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row6\" class=\"row_heading level1 row6\" >ASSESSOR DE GABINETE I</th>\n",
              "      <td id=\"T_df5d1_row6_col0\" class=\"data row6 col0\" >4615.36</td>\n",
              "      <td id=\"T_df5d1_row6_col1\" class=\"data row6 col1\" >2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row7\" class=\"row_heading level1 row7\" >ASSESSOR DE GABINETE II</th>\n",
              "      <td id=\"T_df5d1_row7_col0\" class=\"data row7 col0\" >2526.32</td>\n",
              "      <td id=\"T_df5d1_row7_col1\" class=\"data row7 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row8\" class=\"row_heading level1 row8\" >ASSESSOR I</th>\n",
              "      <td id=\"T_df5d1_row8_col0\" class=\"data row8 col0\" >13959.47</td>\n",
              "      <td id=\"T_df5d1_row8_col1\" class=\"data row8 col1\" >8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row9\" class=\"row_heading level1 row9\" >ASSESSOR II</th>\n",
              "      <td id=\"T_df5d1_row9_col0\" class=\"data row9 col0\" >760739.65</td>\n",
              "      <td id=\"T_df5d1_row9_col1\" class=\"data row9 col1\" >370</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row10\" class=\"row_heading level1 row10\" >ASSESSOR TEC. DE COORDENADOR</th>\n",
              "      <td id=\"T_df5d1_row10_col0\" class=\"data row10 col0\" >57882.28</td>\n",
              "      <td id=\"T_df5d1_row10_col1\" class=\"data row10 col1\" >9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row11\" class=\"row_heading level1 row11\" >ASSESSOR TEC. DE GABINETE I</th>\n",
              "      <td id=\"T_df5d1_row11_col0\" class=\"data row11 col0\" >26013.30</td>\n",
              "      <td id=\"T_df5d1_row11_col1\" class=\"data row11 col1\" >7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row12\" class=\"row_heading level1 row12\" >ASSESSOR TEC. DE GABINETE II</th>\n",
              "      <td id=\"T_df5d1_row12_col0\" class=\"data row12 col0\" >71255.59</td>\n",
              "      <td id=\"T_df5d1_row12_col1\" class=\"data row12 col1\" >15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row13\" class=\"row_heading level1 row13\" >ASSESSOR TEC. DE GABINETE III</th>\n",
              "      <td id=\"T_df5d1_row13_col0\" class=\"data row13 col0\" >155619.35</td>\n",
              "      <td id=\"T_df5d1_row13_col1\" class=\"data row13 col1\" >28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row14\" class=\"row_heading level1 row14\" >ASSESSOR TEC. DE GABINETE IV</th>\n",
              "      <td id=\"T_df5d1_row14_col0\" class=\"data row14 col0\" >140447.18</td>\n",
              "      <td id=\"T_df5d1_row14_col1\" class=\"data row14 col1\" >15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row15\" class=\"row_heading level1 row15\" >ASSESSOR TECNICO I</th>\n",
              "      <td id=\"T_df5d1_row15_col0\" class=\"data row15 col0\" >236946.50</td>\n",
              "      <td id=\"T_df5d1_row15_col1\" class=\"data row15 col1\" >83</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row16\" class=\"row_heading level1 row16\" >ASSESSOR TECNICO II</th>\n",
              "      <td id=\"T_df5d1_row16_col0\" class=\"data row16 col0\" >85987.22</td>\n",
              "      <td id=\"T_df5d1_row16_col1\" class=\"data row16 col1\" >25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row17\" class=\"row_heading level1 row17\" >ASSESSOR TECNICO III</th>\n",
              "      <td id=\"T_df5d1_row17_col0\" class=\"data row17 col0\" >169329.68</td>\n",
              "      <td id=\"T_df5d1_row17_col1\" class=\"data row17 col1\" >38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row18\" class=\"row_heading level1 row18\" >ASSESSOR TECNICO IV</th>\n",
              "      <td id=\"T_df5d1_row18_col0\" class=\"data row18 col0\" >90967.88</td>\n",
              "      <td id=\"T_df5d1_row18_col1\" class=\"data row18 col1\" >19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row19\" class=\"row_heading level1 row19\" >ASSESSOR TECNICO V</th>\n",
              "      <td id=\"T_df5d1_row19_col0\" class=\"data row19 col0\" >153061.16</td>\n",
              "      <td id=\"T_df5d1_row19_col1\" class=\"data row19 col1\" >28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row20\" class=\"row_heading level1 row20\" >ASSISTENTE ADM. ESCOLAR</th>\n",
              "      <td id=\"T_df5d1_row20_col0\" class=\"data row20 col0\" >201128.45</td>\n",
              "      <td id=\"T_df5d1_row20_col1\" class=\"data row20 col1\" >49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row21\" class=\"row_heading level1 row21\" >AUXILIAR SERV.GERAIS</th>\n",
              "      <td id=\"T_df5d1_row21_col0\" class=\"data row21 col0\" >365536.97</td>\n",
              "      <td id=\"T_df5d1_row21_col1\" class=\"data row21 col1\" >163</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row22\" class=\"row_heading level1 row22\" >CHEFE I</th>\n",
              "      <td id=\"T_df5d1_row22_col0\" class=\"data row22 col0\" >3840.43</td>\n",
              "      <td id=\"T_df5d1_row22_col1\" class=\"data row22 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row23\" class=\"row_heading level1 row23\" >COORDENADOR</th>\n",
              "      <td id=\"T_df5d1_row23_col0\" class=\"data row23 col0\" >54831.94</td>\n",
              "      <td id=\"T_df5d1_row23_col1\" class=\"data row23 col1\" >5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row24\" class=\"row_heading level1 row24\" >DIRETOR DE ESCOLA</th>\n",
              "      <td id=\"T_df5d1_row24_col0\" class=\"data row24 col0\" >43969441.22</td>\n",
              "      <td id=\"T_df5d1_row24_col1\" class=\"data row24 col1\" >4532</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row25\" class=\"row_heading level1 row25\" >DIRETOR ESCOLAR</th>\n",
              "      <td id=\"T_df5d1_row25_col0\" class=\"data row25 col0\" >982552.78</td>\n",
              "      <td id=\"T_df5d1_row25_col1\" class=\"data row25 col1\" >110</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row26\" class=\"row_heading level1 row26\" >DIRETOR I</th>\n",
              "      <td id=\"T_df5d1_row26_col0\" class=\"data row26 col0\" >2389828.25</td>\n",
              "      <td id=\"T_df5d1_row26_col1\" class=\"data row26 col1\" >628</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row27\" class=\"row_heading level1 row27\" >DIRETOR II</th>\n",
              "      <td id=\"T_df5d1_row27_col0\" class=\"data row27 col0\" >448427.93</td>\n",
              "      <td id=\"T_df5d1_row27_col1\" class=\"data row27 col1\" >93</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row28\" class=\"row_heading level1 row28\" >DIRETOR TECNICO I</th>\n",
              "      <td id=\"T_df5d1_row28_col0\" class=\"data row28 col0\" >1594837.84</td>\n",
              "      <td id=\"T_df5d1_row28_col1\" class=\"data row28 col1\" >318</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row29\" class=\"row_heading level1 row29\" >DIRETOR TECNICO II</th>\n",
              "      <td id=\"T_df5d1_row29_col0\" class=\"data row29 col0\" >1407415.31</td>\n",
              "      <td id=\"T_df5d1_row29_col1\" class=\"data row29 col1\" >234</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row30\" class=\"row_heading level1 row30\" >DIRETOR TECNICO III</th>\n",
              "      <td id=\"T_df5d1_row30_col0\" class=\"data row30 col0\" >146463.32</td>\n",
              "      <td id=\"T_df5d1_row30_col1\" class=\"data row30 col1\" >19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row31\" class=\"row_heading level1 row31\" >DIRIGENTE REGIONAL DE ENSINO</th>\n",
              "      <td id=\"T_df5d1_row31_col0\" class=\"data row31 col0\" >1400498.39</td>\n",
              "      <td id=\"T_df5d1_row31_col1\" class=\"data row31 col1\" >90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row32\" class=\"row_heading level1 row32\" >ESTAGIARIO</th>\n",
              "      <td id=\"T_df5d1_row32_col0\" class=\"data row32 col0\" >1031.63</td>\n",
              "      <td id=\"T_df5d1_row32_col1\" class=\"data row32 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row33\" class=\"row_heading level1 row33\" >EXECUTIVO PUBLICO</th>\n",
              "      <td id=\"T_df5d1_row33_col0\" class=\"data row33 col0\" >1377848.87</td>\n",
              "      <td id=\"T_df5d1_row33_col1\" class=\"data row33 col1\" >263</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row34\" class=\"row_heading level1 row34\" >OFICIAL ADMINISTRATIVO</th>\n",
              "      <td id=\"T_df5d1_row34_col0\" class=\"data row34 col0\" >1912879.62</td>\n",
              "      <td id=\"T_df5d1_row34_col1\" class=\"data row34 col1\" >819</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row35\" class=\"row_heading level1 row35\" >OFICIAL OPERACIONAL</th>\n",
              "      <td id=\"T_df5d1_row35_col0\" class=\"data row35 col0\" >4175.14</td>\n",
              "      <td id=\"T_df5d1_row35_col1\" class=\"data row35 col1\" >2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row36\" class=\"row_heading level1 row36\" >OUTROS VINCULOS</th>\n",
              "      <td id=\"T_df5d1_row36_col0\" class=\"data row36 col0\" >7583.85</td>\n",
              "      <td id=\"T_df5d1_row36_col1\" class=\"data row36 col1\" >13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row37\" class=\"row_heading level1 row37\" >PROF ENSINO FUNDAMENTAL/MEDIO</th>\n",
              "      <td id=\"T_df5d1_row37_col0\" class=\"data row37 col0\" >511530236.30</td>\n",
              "      <td id=\"T_df5d1_row37_col1\" class=\"data row37 col1\" >102682</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row38\" class=\"row_heading level1 row38\" >PROFESSOR EDUCACAO BASICA I</th>\n",
              "      <td id=\"T_df5d1_row38_col0\" class=\"data row38 col0\" >84746209.44</td>\n",
              "      <td id=\"T_df5d1_row38_col1\" class=\"data row38 col1\" >18330</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row39\" class=\"row_heading level1 row39\" >PROFESSOR EDUCACAO BASICA II</th>\n",
              "      <td id=\"T_df5d1_row39_col0\" class=\"data row39 col0\" >518480911.37</td>\n",
              "      <td id=\"T_df5d1_row39_col1\" class=\"data row39 col1\" >97648</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row40\" class=\"row_heading level1 row40\" >PROFESSOR EDUCACAO BASICA-I</th>\n",
              "      <td id=\"T_df5d1_row40_col0\" class=\"data row40 col0\" >891298.65</td>\n",
              "      <td id=\"T_df5d1_row40_col1\" class=\"data row40 col1\" >143</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row41\" class=\"row_heading level1 row41\" >PROFESSOR II</th>\n",
              "      <td id=\"T_df5d1_row41_col0\" class=\"data row41 col0\" >5240.43</td>\n",
              "      <td id=\"T_df5d1_row41_col1\" class=\"data row41 col1\" >24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row42\" class=\"row_heading level1 row42\" >SECRETARIO DE ESCOLA</th>\n",
              "      <td id=\"T_df5d1_row42_col0\" class=\"data row42 col0\" >5882137.57</td>\n",
              "      <td id=\"T_df5d1_row42_col1\" class=\"data row42 col1\" >1306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row43\" class=\"row_heading level1 row43\" >SECRETARIO DE ESTADO</th>\n",
              "      <td id=\"T_df5d1_row43_col0\" class=\"data row43 col0\" >20743.72</td>\n",
              "      <td id=\"T_df5d1_row43_col1\" class=\"data row43 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row44\" class=\"row_heading level1 row44\" >SECRETARIO EXECUTIVO</th>\n",
              "      <td id=\"T_df5d1_row44_col0\" class=\"data row44 col0\" >24843.05</td>\n",
              "      <td id=\"T_df5d1_row44_col1\" class=\"data row44 col1\" >2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row45\" class=\"row_heading level1 row45\" >SUPERVISOR DE ENSINO</th>\n",
              "      <td id=\"T_df5d1_row45_col0\" class=\"data row45 col0\" >15048703.84</td>\n",
              "      <td id=\"T_df5d1_row45_col1\" class=\"data row45 col1\" >1480</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_df5d1_level1_row46\" class=\"row_heading level1 row46\" >SUPERVISOR EDUCACIONAL</th>\n",
              "      <td id=\"T_df5d1_row46_col0\" class=\"data row46 col0\" >220520.38</td>\n",
              "      <td id=\"T_df5d1_row46_col1\" class=\"data row46 col1\" >27</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 63
        }
      ]
    }
  ],
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