Aula01_Eder.ipynb

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  "metadata": {
    "colab": {
      "name": "Aula01-Eder.ipynb",
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      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNVsEKPFrtiXbc04MnqHvbq",
      "include_colab_link": true
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      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/EderCruz/Alura-ImersaoDados/blob/main/Aula01_Eder.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TWjMx3WGWJYJ",
        "outputId": "fba01e7e-18a2-4366-841b-888e00fe08d5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 244
        }
      },
      "source": [
        "import pandas as pd\n",
        "\n",
        "fonte = \"https://github.com/alura-cursos/imersao-dados-2-2020/blob/master/MICRODADOS_ENEM_2019_SAMPLE_43278.csv?raw=true\"\n",
        "\n",
        "dados = pd.read_csv(fonte)\n",
        "\n",
        "dados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>CCBCBEACABACABBBBACCBCEBDCBABCADADCBCADBAADEA</td>\n",
              "      <td>EBCAB99999BBCECBCACBEACBDAABDBCBBDACEBBACDCAEC...</td>\n",
              "      <td>AECCBBCBBCBDEDECACBAABEDABBEDDADCEADDBEBDBBEB</td>\n",
              "      <td>0</td>\n",
              "      <td>DEADBAAAEBEECEBCBCBCBDADAEABCEDDDDADCBEECACBC</td>\n",
              "      <td>ACACEEBCCBABADBBBACDBBACCCCADCEBADCBEEDBBEADB</td>\n",
              "      <td>EBBADCABDABACBCEBDEEAAADDBECDECDDBADBCDAAECBCC...</td>\n",
              "      <td>AADDDBEEEBEDDBEBACABCDBABECECACAECDCBDCCEDCDA</td>\n",
              "      <td>1.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>780.0</td>\n",
              "      <td>E</td>\n",
              "      <td>E</td>\n",
              "      <td>B</td>\n",
              "      <td>D</td>\n",
              "      <td>3</td>\n",
              "      <td>E</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>C</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>D</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 136 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   NU_INSCRICAO  NU_ANO  CO_MUNICIPIO_RESIDENCIA  ... Q023  Q024 Q025\n",
              "0  190001004661    2019                  1506138  ...    A     B    B\n",
              "1  190001004674    2019                  1504208  ...    A     A    B\n",
              "2  190001004722    2019                  1501402  ...    A     A    B\n",
              "3  190001004735    2019                  1507300  ...    A     A    B\n",
              "4  190001004776    2019                  1500800  ...    A     A    B\n",
              "\n",
              "[5 rows x 136 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "As2oaq_2WVDu",
        "outputId": "b74b1f75-f26b-4478-84de-3ef73b583437",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "dados.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(127380, 136)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uDXg_pChXJBV",
        "outputId": "fab94437-9a3f-4c5b-e6af-7ef2002783e1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 218
        }
      },
      "source": [
        "dados[\"SG_UF_RESIDENCIA\"]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         PA\n",
              "1         PA\n",
              "2         PA\n",
              "3         PA\n",
              "4         PA\n",
              "          ..\n",
              "127375    MG\n",
              "127376    BA\n",
              "127377    BA\n",
              "127378    BA\n",
              "127379    MG\n",
              "Name: SG_UF_RESIDENCIA, Length: 127380, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j6EyxEUSXb51",
        "outputId": "70279d96-7a43-4dbb-fbc7-3e44227704d7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 672
        }
      },
      "source": [
        "dados.columns.values"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['NU_INSCRICAO', 'NU_ANO', 'CO_MUNICIPIO_RESIDENCIA',\n",
              "       'NO_MUNICIPIO_RESIDENCIA', 'CO_UF_RESIDENCIA', 'SG_UF_RESIDENCIA',\n",
              "       'NU_IDADE', 'TP_SEXO', 'TP_ESTADO_CIVIL', 'TP_COR_RACA',\n",
              "       'TP_NACIONALIDADE', 'CO_MUNICIPIO_NASCIMENTO',\n",
              "       'NO_MUNICIPIO_NASCIMENTO', 'CO_UF_NASCIMENTO', 'SG_UF_NASCIMENTO',\n",
              "       'TP_ST_CONCLUSAO', 'TP_ANO_CONCLUIU', 'TP_ESCOLA', 'TP_ENSINO',\n",
              "       'IN_TREINEIRO', 'CO_ESCOLA', 'CO_MUNICIPIO_ESC',\n",
              "       'NO_MUNICIPIO_ESC', 'CO_UF_ESC', 'SG_UF_ESC',\n",
              "       'TP_DEPENDENCIA_ADM_ESC', 'TP_LOCALIZACAO_ESC', 'TP_SIT_FUNC_ESC',\n",
              "       'IN_BAIXA_VISAO', 'IN_CEGUEIRA', 'IN_SURDEZ',\n",
              "       'IN_DEFICIENCIA_AUDITIVA', 'IN_SURDO_CEGUEIRA',\n",
              "       'IN_DEFICIENCIA_FISICA', 'IN_DEFICIENCIA_MENTAL',\n",
              "       'IN_DEFICIT_ATENCAO', 'IN_DISLEXIA', 'IN_DISCALCULIA',\n",
              "       'IN_AUTISMO', 'IN_VISAO_MONOCULAR', 'IN_OUTRA_DEF', 'IN_GESTANTE',\n",
              "       'IN_LACTANTE', 'IN_IDOSO', 'IN_ESTUDA_CLASSE_HOSPITALAR',\n",
              "       'IN_SEM_RECURSO', 'IN_BRAILLE', 'IN_AMPLIADA_24', 'IN_AMPLIADA_18',\n",
              "       'IN_LEDOR', 'IN_ACESSO', 'IN_TRANSCRICAO', 'IN_LIBRAS',\n",
              "       'IN_TEMPO_ADICIONAL', 'IN_LEITURA_LABIAL', 'IN_MESA_CADEIRA_RODAS',\n",
              "       'IN_MESA_CADEIRA_SEPARADA', 'IN_APOIO_PERNA', 'IN_GUIA_INTERPRETE',\n",
              "       'IN_COMPUTADOR', 'IN_CADEIRA_ESPECIAL', 'IN_CADEIRA_CANHOTO',\n",
              "       'IN_CADEIRA_ACOLCHOADA', 'IN_PROVA_DEITADO', 'IN_MOBILIARIO_OBESO',\n",
              "       'IN_LAMINA_OVERLAY', 'IN_PROTETOR_AURICULAR', 'IN_MEDIDOR_GLICOSE',\n",
              "       'IN_MAQUINA_BRAILE', 'IN_SOROBAN', 'IN_MARCA_PASSO', 'IN_SONDA',\n",
              "       'IN_MEDICAMENTOS', 'IN_SALA_INDIVIDUAL', 'IN_SALA_ESPECIAL',\n",
              "       'IN_SALA_ACOMPANHANTE', 'IN_MOBILIARIO_ESPECIFICO',\n",
              "       'IN_MATERIAL_ESPECIFICO', 'IN_NOME_SOCIAL', 'CO_MUNICIPIO_PROVA',\n",
              "       'NO_MUNICIPIO_PROVA', 'CO_UF_PROVA', 'SG_UF_PROVA',\n",
              "       'TP_PRESENCA_CN', 'TP_PRESENCA_CH', 'TP_PRESENCA_LC',\n",
              "       'TP_PRESENCA_MT', 'CO_PROVA_CN', 'CO_PROVA_CH', 'CO_PROVA_LC',\n",
              "       'CO_PROVA_MT', 'NU_NOTA_CN', 'NU_NOTA_CH', 'NU_NOTA_LC',\n",
              "       'NU_NOTA_MT', 'TX_RESPOSTAS_CN', 'TX_RESPOSTAS_CH',\n",
              "       'TX_RESPOSTAS_LC', 'TX_RESPOSTAS_MT', 'TP_LINGUA',\n",
              "       'TX_GABARITO_CN', 'TX_GABARITO_CH', 'TX_GABARITO_LC',\n",
              "       'TX_GABARITO_MT', 'TP_STATUS_REDACAO', 'NU_NOTA_COMP1',\n",
              "       'NU_NOTA_COMP2', 'NU_NOTA_COMP3', 'NU_NOTA_COMP4', 'NU_NOTA_COMP5',\n",
              "       'NU_NOTA_REDACAO', 'Q001', 'Q002', 'Q003', 'Q004', 'Q005', 'Q006',\n",
              "       'Q007', 'Q008', 'Q009', 'Q010', 'Q011', 'Q012', 'Q013', 'Q014',\n",
              "       'Q015', 'Q016', 'Q017', 'Q018', 'Q019', 'Q020', 'Q021', 'Q022',\n",
              "       'Q023', 'Q024', 'Q025'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RZIfaJIHZHvG",
        "outputId": "ec6b64d1-4cea-4af0-cf1c-f0ef3badc112",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        }
      },
      "source": [
        "dados[[\"SG_UF_RESIDENCIA\",\"Q025\" ]]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SG_UF_RESIDENCIA</th>\n",
              "      <th>Q025</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>PA</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>PA</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PA</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>PA</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>PA</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127375</th>\n",
              "      <td>MG</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127376</th>\n",
              "      <td>BA</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127377</th>\n",
              "      <td>BA</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127378</th>\n",
              "      <td>BA</td>\n",
              "      <td>A</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127379</th>\n",
              "      <td>MG</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>127380 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       SG_UF_RESIDENCIA Q025\n",
              "0                    PA    B\n",
              "1                    PA    B\n",
              "2                    PA    B\n",
              "3                    PA    B\n",
              "4                    PA    B\n",
              "...                 ...  ...\n",
              "127375               MG    B\n",
              "127376               BA    B\n",
              "127377               BA    B\n",
              "127378               BA    A\n",
              "127379               MG    B\n",
              "\n",
              "[127380 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ArfpTjzPZeM4",
        "outputId": "38a91dbc-dead-4173-b48f-d7df512fc4fe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67
        }
      },
      "source": [
        "dados[\"SG_UF_RESIDENCIA\"].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['PA', 'RO', 'MT', 'AC', 'AM', 'RR', 'MA', 'PR', 'BA', 'PI', 'CE',\n",
              "       'PE', 'AP', 'TO', 'SC', 'GO', 'MG', 'SP', 'SE', 'RJ', 'PB', 'AL',\n",
              "       'RN', 'ES', 'DF', 'RS', 'MS'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FWR_CrChZn-2",
        "outputId": "c107ed2a-68b7-4e27-d20d-6268f789c81d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "len(dados[\"SG_UF_RESIDENCIA\"].unique())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "27"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t2WZbUV-Z41e",
        "outputId": "a9bc53e9-1459-40b6-8d50-e55355f8f310",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 485
        }
      },
      "source": [
        "dados[\"SG_UF_RESIDENCIA\"].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SP    20264\n",
              "MG    13547\n",
              "BA    10040\n",
              "RJ     8467\n",
              "CE     7381\n",
              "PA     7170\n",
              "PE     6941\n",
              "MA     5543\n",
              "RS     5466\n",
              "PR     5259\n",
              "GO     4268\n",
              "PB     3690\n",
              "PI     3034\n",
              "RN     2959\n",
              "AM     2820\n",
              "SC     2673\n",
              "ES     2550\n",
              "DF     2408\n",
              "AL     2263\n",
              "MT     2230\n",
              "SE     1815\n",
              "MS     1655\n",
              "RO     1400\n",
              "TO     1178\n",
              "AP     1047\n",
              "AC      946\n",
              "RR      366\n",
              "Name: SG_UF_RESIDENCIA, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "279eW4Yham71",
        "outputId": "729b5d49-0a8f-4d7e-abf4-843ec7596de3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 217
        }
      },
      "source": [
        "dados[\"NU_IDADE\"].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "18    21452\n",
              "17    21256\n",
              "19    14418\n",
              "20    10413\n",
              "16     7830\n",
              "      ...  \n",
              "75        2\n",
              "73        2\n",
              "82        1\n",
              "77        1\n",
              "76        1\n",
              "Name: NU_IDADE, Length: 65, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Toi6iG_1bGMl",
        "outputId": "b5d87a02-21b2-4c1f-cab2-66a08a20b59d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 217
        }
      },
      "source": [
        "dados[\"NU_IDADE\"].value_counts().sort_index()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "13        4\n",
              "14      141\n",
              "15     2009\n",
              "16     7830\n",
              "17    21256\n",
              "      ...  \n",
              "73        2\n",
              "75        2\n",
              "76        1\n",
              "77        1\n",
              "82        1\n",
              "Name: NU_IDADE, Length: 65, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rl2eUjC4cY3N",
        "outputId": "8928f5ed-1dbd-472d-a729-562bd80d06f0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 234
        }
      },
      "source": [
        "dados[[\"NU_IDADE\",\"SG_UF_RESIDENCIA\"]].value_counts().sort_index()\n",
        "Desafio 2"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NU_IDADE  SG_UF_RESIDENCIA\n",
              "13        AP                  1\n",
              "          BA                  1\n",
              "          MT                  1\n",
              "          SP                  1\n",
              "14        AC                  1\n",
              "                             ..\n",
              "73        SP                  1\n",
              "75        BA                  2\n",
              "76        BA                  1\n",
              "77        RJ                  1\n",
              "82        RJ                  1\n",
              "Length: 1333, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hT5VnonQcrDz",
        "outputId": "9478d824-822c-4445-d116-0d83027df7cf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        }
      },
      "source": [
        "dados[\"NU_IDADE\"].hist()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc298ce0ef0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qs3d010EdM4N",
        "outputId": "edc74e26-8e55-4c46-f533-c9301a46daa7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 500
        }
      },
      "source": [
        "dados[\"NU_IDADE\"].hist( bins = 20, figsize = (10,8))\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc295939ac8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Z1BhvtEvDhW",
        "outputId": "0eadb463-8b76-4b74-90d5-ce664572e083",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        }
      },
      "source": [
        "dados.query(\"IN_TREINEIRO == 1\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>NU_INSCRICAO</th>\n",
              "      <th>NU_ANO</th>\n",
              "      <th>CO_MUNICIPIO_RESIDENCIA</th>\n",
              "      <th>NO_MUNICIPIO_RESIDENCIA</th>\n",
              "      <th>CO_UF_RESIDENCIA</th>\n",
              "      <th>SG_UF_RESIDENCIA</th>\n",
              "      <th>NU_IDADE</th>\n",
              "      <th>TP_SEXO</th>\n",
              "      <th>TP_ESTADO_CIVIL</th>\n",
              "      <th>TP_COR_RACA</th>\n",
              "      <th>TP_NACIONALIDADE</th>\n",
              "      <th>CO_MUNICIPIO_NASCIMENTO</th>\n",
              "      <th>NO_MUNICIPIO_NASCIMENTO</th>\n",
              "      <th>CO_UF_NASCIMENTO</th>\n",
              "      <th>SG_UF_NASCIMENTO</th>\n",
              "      <th>TP_ST_CONCLUSAO</th>\n",
              "      <th>TP_ANO_CONCLUIU</th>\n",
              "      <th>TP_ESCOLA</th>\n",
              "      <th>TP_ENSINO</th>\n",
              "      <th>IN_TREINEIRO</th>\n",
              "      <th>CO_ESCOLA</th>\n",
              "      <th>CO_MUNICIPIO_ESC</th>\n",
              "      <th>NO_MUNICIPIO_ESC</th>\n",
              "      <th>CO_UF_ESC</th>\n",
              "      <th>SG_UF_ESC</th>\n",
              "      <th>TP_DEPENDENCIA_ADM_ESC</th>\n",
              "      <th>TP_LOCALIZACAO_ESC</th>\n",
              "      <th>TP_SIT_FUNC_ESC</th>\n",
              "      <th>IN_BAIXA_VISAO</th>\n",
              "      <th>IN_CEGUEIRA</th>\n",
              "      <th>IN_SURDEZ</th>\n",
              "      <th>IN_DEFICIENCIA_AUDITIVA</th>\n",
              "      <th>IN_SURDO_CEGUEIRA</th>\n",
              "      <th>IN_DEFICIENCIA_FISICA</th>\n",
              "      <th>IN_DEFICIENCIA_MENTAL</th>\n",
              "      <th>IN_DEFICIT_ATENCAO</th>\n",
              "      <th>IN_DISLEXIA</th>\n",
              "      <th>IN_DISCALCULIA</th>\n",
              "      <th>IN_AUTISMO</th>\n",
              "      <th>IN_VISAO_MONOCULAR</th>\n",
              "      <th>...</th>\n",
              "      <th>TX_RESPOSTAS_CH</th>\n",
              "      <th>TX_RESPOSTAS_LC</th>\n",
              "      <th>TX_RESPOSTAS_MT</th>\n",
              "      <th>TP_LINGUA</th>\n",
              "      <th>TX_GABARITO_CN</th>\n",
              "      <th>TX_GABARITO_CH</th>\n",
              "      <th>TX_GABARITO_LC</th>\n",
              "      <th>TX_GABARITO_MT</th>\n",
              "      <th>TP_STATUS_REDACAO</th>\n",
              "      <th>NU_NOTA_COMP1</th>\n",
              "      <th>NU_NOTA_COMP2</th>\n",
              "      <th>NU_NOTA_COMP3</th>\n",
              "      <th>NU_NOTA_COMP4</th>\n",
              "      <th>NU_NOTA_COMP5</th>\n",
              "      <th>NU_NOTA_REDACAO</th>\n",
              "      <th>Q001</th>\n",
              "      <th>Q002</th>\n",
              "      <th>Q003</th>\n",
              "      <th>Q004</th>\n",
              "      <th>Q005</th>\n",
              "      <th>Q006</th>\n",
              "      <th>Q007</th>\n",
              "      <th>Q008</th>\n",
              "      <th>Q009</th>\n",
              "      <th>Q010</th>\n",
              "      <th>Q011</th>\n",
              "      <th>Q012</th>\n",
              "      <th>Q013</th>\n",
              "      <th>Q014</th>\n",
              "      <th>Q015</th>\n",
              "      <th>Q016</th>\n",
              "      <th>Q017</th>\n",
              "      <th>Q018</th>\n",
              "      <th>Q019</th>\n",
              "      <th>Q020</th>\n",
              "      <th>Q021</th>\n",
              "      <th>Q022</th>\n",
              "      <th>Q023</th>\n",
              "      <th>Q024</th>\n",
              "      <th>Q025</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>190001004661</td>\n",
              "      <td>2019</td>\n",
              "      <td>1506138</td>\n",
              "      <td>Redenção</td>\n",
              "      <td>15</td>\n",
              "      <td>PA</td>\n",
              "      <td>17</td>\n",
              "      <td>M</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1506138.0</td>\n",
              "      <td>Redenção</td>\n",
              "      <td>15.0</td>\n",
              "      <td>PA</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>ACAEAAACABEBABAADCEEEDE*CBDCCCADADCCCBEBBBBDB</td>\n",
              "      <td>99999CCCABBCAADDBCEBCCADBEEBDECBAABDEACACAEABB...</td>\n",
              "      <td>DEEDCAECDDEEECBCBECABEBAECBBCDAECAEBBBBBDCCDB</td>\n",
              "      <td>1</td>\n",
              "      <td>DEADBAAAEBEECEBCBCBCBDADAEABCEDDDDADCBEECACBC</td>\n",
              "      <td>ACACEEBCCBABADBBBACDBBACCCCADCEBADCBEEDBBEADB</td>\n",
              "      <td>EBBADCABDABACBCEBDEEAAADDBECDECDDBADBCDAAECBCC...</td>\n",
              "      <td>AADDDBEEEBEDDBEBACABCDBABECECACAECDCBDCCEDCDA</td>\n",
              "      <td>1.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>420.0</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>4</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>C</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>C</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>190001004776</td>\n",
              "      <td>2019</td>\n",
              "      <td>1500800</td>\n",
              "      <td>Ananindeua</td>\n",
              "      <td>15</td>\n",
              "      <td>PA</td>\n",
              "      <td>16</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1500800.0</td>\n",
              "      <td>Ananindeua</td>\n",
              "      <td>15.0</td>\n",
              "      <td>PA</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>CCBCBEACABACABBBBACCBCEBDCBABCADADCBCADBAADEA</td>\n",
              "      <td>EBCAB99999BBCECBCACBEACBDAABDBCBBDACEBBACDCAEC...</td>\n",
              "      <td>AECCBBCBBCBDEDECACBAABEDABBEDDADCEADDBEBDBBEB</td>\n",
              "      <td>0</td>\n",
              "      <td>DEADBAAAEBEECEBCBCBCBDADAEABCEDDDDADCBEECACBC</td>\n",
              "      <td>ACACEEBCCBABADBBBACDBBACCCCADCEBADCBEEDBBEADB</td>\n",
              "      <td>EBBADCABDABACBCEBDEEAAADDBECDECDDBADBCDAAECBCC...</td>\n",
              "      <td>AADDDBEEEBEDDBEBACABCDBABECECACAECDCBDCCEDCDA</td>\n",
              "      <td>1.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>780.0</td>\n",
              "      <td>E</td>\n",
              "      <td>E</td>\n",
              "      <td>B</td>\n",
              "      <td>D</td>\n",
              "      <td>3</td>\n",
              "      <td>E</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>C</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>D</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>190001005076</td>\n",
              "      <td>2019</td>\n",
              "      <td>1506138</td>\n",
              "      <td>Redenção</td>\n",
              "      <td>15</td>\n",
              "      <td>PA</td>\n",
              "      <td>15</td>\n",
              "      <td>M</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1506138.0</td>\n",
              "      <td>Redenção</td>\n",
              "      <td>15.0</td>\n",
              "      <td>PA</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>AADCCEDCCDBEABAECBABCEEACDEBDBBDBACBBEEDCADCB</td>\n",
              "      <td>AECBA99999ACDBECAACEAADBEAAAECDAECDEBAAEBCECEA...</td>\n",
              "      <td>DAADCAABECBBCBDADDEEEBCCAABADBBBECAACBDBDDCBC</td>\n",
              "      <td>0</td>\n",
              "      <td>BEEAAEBEEBADEADDADAEABCEDDDBCBCBCCACBCDADCCEB</td>\n",
              "      <td>EEBCEEDBADBBCBABCCADCEBACDBBACCACACBEADBBADCB</td>\n",
              "      <td>ADBBEDCABAABBCBCDAAECDDDBAAAECADECDCEBDEEAECBD...</td>\n",
              "      <td>BEDEEEAADBEBACABCDBABECECACADCBDCCEDCDABECDDD</td>\n",
              "      <td>1.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>C</td>\n",
              "      <td>E</td>\n",
              "      <td>D</td>\n",
              "      <td>D</td>\n",
              "      <td>4</td>\n",
              "      <td>F</td>\n",
              "      <td>A</td>\n",
              "      <td>C</td>\n",
              "      <td>C</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>190001005081</td>\n",
              "      <td>2019</td>\n",
              "      <td>1506807</td>\n",
              "      <td>Santarém</td>\n",
              "      <td>15</td>\n",
              "      <td>PA</td>\n",
              "      <td>17</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>AABCDEBCEBCADAAAAEEEBCEEBDECDBACBEDEAABAACDBA</td>\n",
              "      <td>99999ADABAADAEABBAACDAABCDE*DABBABDAAEDAAAACBE...</td>\n",
              "      <td>AAAEDBCCEACBDDCBEAEBBCAAAABCCBABDCAAECCABCBDE</td>\n",
              "      <td>1</td>\n",
              "      <td>AAECACDEADCBCDDDBCBDADAEABCEBABEEBCBEECEBDADC</td>\n",
              "      <td>ACACEEBCCBABADBBBACDBBACCCCADCEBADCBEEDBBEADB</td>\n",
              "      <td>EBBADCABDABACBCEBDEEAAADDBECDECDDBADBCDAAECBCC...</td>\n",
              "      <td>EEEADBEBACABCDBABECECACDCBDCCEDCDABEDECDDDBAA</td>\n",
              "      <td>1.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>400.0</td>\n",
              "      <td>D</td>\n",
              "      <td>E</td>\n",
              "      <td>F</td>\n",
              "      <td>F</td>\n",
              "      <td>4</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>D</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>190001005202</td>\n",
              "      <td>2019</td>\n",
              "      <td>1502301</td>\n",
              "      <td>Capitão Poço</td>\n",
              "      <td>15</td>\n",
              "      <td>PA</td>\n",
              "      <td>17</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>EEEAABAADADCBCEDBCCACEEDBCBCBADBBAABDBBABCEAB</td>\n",
              "      <td>99999ECABECCBABCDAEADABEBEEBEEEEEDBDDBAACDAEAA...</td>\n",
              "      <td>ACBEDECCABCEDDEDCEDAACBCAADEEDCDEECBABEBAEC*B</td>\n",
              "      <td>1</td>\n",
              "      <td>AAECACDEADCBCDDDBCBDADAEABCEBABEEBCBEECEBDADC</td>\n",
              "      <td>BACCCBABBADCBCEEEBCACACEEDBCCADBEADBADBBBACDB</td>\n",
              "      <td>BDABEABCADBCBAADDBECDAAECDAECBECBCCDEEAAADDBBC...</td>\n",
              "      <td>EEEADBEBACABCDBABECECACDCBDCCEDCDABEDECDDDBAA</td>\n",
              "      <td>1.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>580.0</td>\n",
              "      <td>D</td>\n",
              "      <td>E</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>3</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127328</th>\n",
              "      <td>190006117441</td>\n",
              "      <td>2019</td>\n",
              "      <td>3126752</td>\n",
              "      <td>Franciscópolis</td>\n",
              "      <td>31</td>\n",
              "      <td>MG</td>\n",
              "      <td>16</td>\n",
              "      <td>M</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>3126752.0</td>\n",
              "      <td>Franciscópolis</td>\n",
              "      <td>31.0</td>\n",
              "      <td>MG</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>EBCCABEAEAABACBEBBBBDCABABECDCACBDACCCBEEBCDE</td>\n",
              "      <td>DDADD99999DAABCDAECECBBBDDABBDECCBBACDDEABCCCE...</td>\n",
              "      <td>DCCBABCBCBDCCDAEACAADCCCDECBECBCA*BBCBCEBEBAB</td>\n",
              "      <td>0</td>\n",
              "      <td>DADCCEBBCCACBEEBEEBACBCDDDDADBCBBCEAEADEADAAE</td>\n",
              "      <td>CBABADBBCEEEBCBADCBEEDBBEADBBACDBBACCCCADACAC</td>\n",
              "      <td>BBEDABDACACBABAECBBCCADCEBDBBCDDEEAAADDBECDECA...</td>\n",
              "      <td>DBEBACABCDBABECEEEDCBDCCEDCDABEDAADDDECACAECB</td>\n",
              "      <td>1.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>340.0</td>\n",
              "      <td>B</td>\n",
              "      <td>C</td>\n",
              "      <td>C</td>\n",
              "      <td>B</td>\n",
              "      <td>6</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>D</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127340</th>\n",
              "      <td>190006117776</td>\n",
              "      <td>2019</td>\n",
              "      <td>4305108</td>\n",
              "      <td>Caxias do Sul</td>\n",
              "      <td>43</td>\n",
              "      <td>RS</td>\n",
              "      <td>17</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4305108.0</td>\n",
              "      <td>Caxias do Sul</td>\n",
              "      <td>43.0</td>\n",
              "      <td>RS</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>CABBABABABDCDBEEEBCACABEEADCCEECAACBADEAEDCCE</td>\n",
              "      <td>BDABE99999CCBABDACDCDAEECBEEACDABACDEBAAADDAAB...</td>\n",
              "      <td>ECAAECEBAECABDEACEABBAEEBAAEBCBCEBABAECBDCCAB</td>\n",
              "      <td>0</td>\n",
              "      <td>AAECACDEADCBCDDDBCBDADAEABCEBABEEBCBEECEBDADC</td>\n",
              "      <td>BACCCBABBADCBCEEEBCACACEEDBCCADBEADBADBBBACDB</td>\n",
              "      <td>BDABEABCADBCBAADDBECDAAECDAECBECBCCDEEAAADDBBC...</td>\n",
              "      <td>EEEADBEBACABCDBABECECACDCBDCCEDCDABEDECDDDBAA</td>\n",
              "      <td>1.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>E</td>\n",
              "      <td>G</td>\n",
              "      <td>D</td>\n",
              "      <td>E</td>\n",
              "      <td>2</td>\n",
              "      <td>H</td>\n",
              "      <td>A</td>\n",
              "      <td>C</td>\n",
              "      <td>D</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>C</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127349</th>\n",
              "      <td>190006118483</td>\n",
              "      <td>2019</td>\n",
              "      <td>2511301</td>\n",
              "      <td>Piancó</td>\n",
              "      <td>25</td>\n",
              "      <td>PB</td>\n",
              "      <td>15</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2511301.0</td>\n",
              "      <td>Piancó</td>\n",
              "      <td>25.0</td>\n",
              "      <td>PB</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>AACEBDCBCBECACEBEABDCADBACBBECAEABCCCAEDBBDCE</td>\n",
              "      <td>99999AEACBAABCEECBCECBDABAAADCBEBCDCDECBAEEDEB...</td>\n",
              "      <td>DACEAEABDEACAECCBCCBCDDCABEEBABBCDABBADCDAEAE</td>\n",
              "      <td>1</td>\n",
              "      <td>BEEAAEBEEBADEADDADAEABCEDDDBCBCBCCACBCDADCCEB</td>\n",
              "      <td>EEBCEEDBADBBCBABCCADCEBACDBBACCACACBEADBBADCB</td>\n",
              "      <td>ADBBEDCABAABBCBCDAAECDDDBAAAECADECDCEBDEEAECBD...</td>\n",
              "      <td>BEDEEEAADBEBACABCDBABECECACADCBDCCEDCDABECDDD</td>\n",
              "      <td>1.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>140.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>540.0</td>\n",
              "      <td>C</td>\n",
              "      <td>E</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>3</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127350</th>\n",
              "      <td>190006118551</td>\n",
              "      <td>2019</td>\n",
              "      <td>2611606</td>\n",
              "      <td>Recife</td>\n",
              "      <td>26</td>\n",
              "      <td>PE</td>\n",
              "      <td>16</td>\n",
              "      <td>M</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4113700.0</td>\n",
              "      <td>Londrina</td>\n",
              "      <td>41.0</td>\n",
              "      <td>PR</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>EEACCADBADBEABAECCDDCEEACDBBAECCCBCBDECBDBDCD</td>\n",
              "      <td>ADBBE99999BDECBCCDAEDCDDDAAAECBEECDCBBDEADEEBD...</td>\n",
              "      <td>DEEBBECBCDEACECEEEECBDCCEDCECBEDAADDDEDAEAECD</td>\n",
              "      <td>0</td>\n",
              "      <td>DADCCEBBCCACBEEBEEBACBCDDDDADBCBBCEAEADEADAAE</td>\n",
              "      <td>EEBCEEDBADBBCBABCCADCEBACDBBACCACACBEADBBADCB</td>\n",
              "      <td>ADBBEDCABAABBCBCDAAECDDDBAAAECADECDCEBDEEAECBD...</td>\n",
              "      <td>DBEBACABCDBABECEEEDCBDCCEDCDABEDAADDDECACAECB</td>\n",
              "      <td>1.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>840.0</td>\n",
              "      <td>G</td>\n",
              "      <td>G</td>\n",
              "      <td>D</td>\n",
              "      <td>D</td>\n",
              "      <td>4</td>\n",
              "      <td>H</td>\n",
              "      <td>D</td>\n",
              "      <td>E</td>\n",
              "      <td>D</td>\n",
              "      <td>D</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>E</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>E</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127352</th>\n",
              "      <td>190006118561</td>\n",
              "      <td>2019</td>\n",
              "      <td>2600807</td>\n",
              "      <td>Altinho</td>\n",
              "      <td>26</td>\n",
              "      <td>PE</td>\n",
              "      <td>18</td>\n",
              "      <td>M</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2611606.0</td>\n",
              "      <td>Recife</td>\n",
              "      <td>26.0</td>\n",
              "      <td>PE</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>CDBBBABBDBBCDCAECADBABBDACBEACCABDCDCDCDBACDD</td>\n",
              "      <td>CEDBC99999CEDBCEDDECDDCCBAEEBCBBEACBDADABCADEA...</td>\n",
              "      <td>CEDCBBDEBDEDCACCCDECCACDBECDCABAEDBAABDDDEDEE</td>\n",
              "      <td>0</td>\n",
              "      <td>DADCCEBBCCACBEEBEEBACBCDDDDADBCBBCEAEADEADAAE</td>\n",
              "      <td>BACCCBABBADCBCEEEBCACACEEDBCCADBEADBADBBBACDB</td>\n",
              "      <td>BDABEABCADBCBAADDBECDAAECDAECBECBCCDEEAAADDBBC...</td>\n",
              "      <td>DBEBACABCDBABECEEEDCBDCCEDCDABEDAADDDECACAECB</td>\n",
              "      <td>1.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>260.0</td>\n",
              "      <td>E</td>\n",
              "      <td>D</td>\n",
              "      <td>C</td>\n",
              "      <td>C</td>\n",
              "      <td>3</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>15401 rows × 136 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        NU_INSCRICAO  NU_ANO  CO_MUNICIPIO_RESIDENCIA  ... Q023  Q024 Q025\n",
              "0       190001004661    2019                  1506138  ...    A     B    B\n",
              "4       190001004776    2019                  1500800  ...    A     A    B\n",
              "12      190001005076    2019                  1506138  ...    A     A    B\n",
              "14      190001005081    2019                  1506807  ...    A     A    B\n",
              "16      190001005202    2019                  1502301  ...    A     A    A\n",
              "...              ...     ...                      ...  ...  ...   ...  ...\n",
              "127328  190006117441    2019                  3126752  ...    A     A    B\n",
              "127340  190006117776    2019                  4305108  ...    A     C    B\n",
              "127349  190006118483    2019                  2511301  ...    A     A    A\n",
              "127350  190006118551    2019                  2611606  ...    B     B    B\n",
              "127352  190006118561    2019                  2600807  ...    A     A    B\n",
              "\n",
              "[15401 rows x 136 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TiaG0Gxzv_ms",
        "outputId": "4200a405-5dd7-49e3-c59d-bfce3e46ec50",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 655
        }
      },
      "source": [
        "dados.query(\"IN_TREINEIRO == 1\")[\"NU_IDADE\"]\n",
        "dados.query(\"IN_TREINEIRO == 1\")[\"NU_IDADE\"].value_counts()\n",
        "dados.query(\"IN_TREINEIRO == 1\")[\"NU_IDADE\"].value_counts().sort_index()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "14      64\n",
              "15    1927\n",
              "16    7142\n",
              "17    4901\n",
              "18     858\n",
              "19     228\n",
              "20      83\n",
              "21      44\n",
              "22      30\n",
              "23      21\n",
              "24      13\n",
              "25       8\n",
              "26      13\n",
              "27       9\n",
              "28       6\n",
              "29      10\n",
              "30       4\n",
              "31       4\n",
              "32       2\n",
              "33       1\n",
              "34       3\n",
              "35       2\n",
              "36       2\n",
              "37       1\n",
              "38       4\n",
              "39       2\n",
              "40       4\n",
              "41       1\n",
              "42       4\n",
              "44       2\n",
              "45       1\n",
              "46       2\n",
              "47       1\n",
              "48       1\n",
              "51       1\n",
              "55       1\n",
              "62       1\n",
              "Name: NU_IDADE, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QW33fp7VxJgL",
        "outputId": "aa43b229-2bc7-4fa4-dc37-efc940f13f65",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        }
      },
      "source": [
        "dados.query(\"IN_TREINEIRO == 1\")[\"NU_IDADE\"].value_counts().hist(bins = 10)\n",
        "dados.query(\"IN_TREINEIRO != 1\")[\"NU_IDADE\"].value_counts().hist(bins = 20)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc2966195f8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UJ_8wdEjxnvn",
        "outputId": "69ad001e-ad5f-4d6d-cc13-83c549bedd38",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        }
      },
      "source": [
        "dados[\"NU_NOTA_REDACAO\"].hist(bins = 20, figsize = (8,6))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc295cb5f60>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dfQqMJ7F3GQ4",
        "outputId": "8ff816fe-60a3-4768-a877-83148a5ca554",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        }
      },
      "source": [
        "dados[\"NU_NOTA_LC\"].hist(bins = 20, figsize = (8,6))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc295be76d8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YommXgvC3cAY",
        "outputId": "89ca68b4-0d51-40e7-c27c-9cdaddb76ed3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "dados[\"NU_NOTA_REDACAO\"].mean()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "571.5700253970197"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BzgMc-Uo3lBL",
        "outputId": "5346d168-9029-4edc-be19-001270ffe4b3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "dados[\"NU_NOTA_REDACAO\"].std()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "188.07645455749753"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EHTG41WR4FlC",
        "outputId": "82b9ec93-faed-4fc7-953a-733c21aafc3b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 284
        }
      },
      "source": [
        "provas = [\"NU_NOTA_CN\", \"NU_NOTA_CH\", \"NU_NOTA_MT\", \"NU_NOTA_LC\", \"NU_NOTA_REDACAO\", ]\n",
        "dados[provas].describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>NU_NOTA_CN</th>\n",
              "      <th>NU_NOTA_CH</th>\n",
              "      <th>NU_NOTA_MT</th>\n",
              "      <th>NU_NOTA_LC</th>\n",
              "      <th>NU_NOTA_REDACAO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>92758.000000</td>\n",
              "      <td>98043.000000</td>\n",
              "      <td>92758.000000</td>\n",
              "      <td>98043.000000</td>\n",
              "      <td>98043.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>477.964015</td>\n",
              "      <td>507.365912</td>\n",
              "      <td>523.555206</td>\n",
              "      <td>520.463928</td>\n",
              "      <td>571.570025</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>76.296099</td>\n",
              "      <td>82.972839</td>\n",
              "      <td>109.416939</td>\n",
              "      <td>64.556578</td>\n",
              "      <td>188.076455</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>418.000000</td>\n",
              "      <td>447.900000</td>\n",
              "      <td>435.300000</td>\n",
              "      <td>483.700000</td>\n",
              "      <td>480.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>470.200000</td>\n",
              "      <td>510.900000</td>\n",
              "      <td>501.600000</td>\n",
              "      <td>526.100000</td>\n",
              "      <td>580.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>533.300000</td>\n",
              "      <td>567.100000</td>\n",
              "      <td>598.200000</td>\n",
              "      <td>565.100000</td>\n",
              "      <td>680.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>797.300000</td>\n",
              "      <td>809.400000</td>\n",
              "      <td>985.000000</td>\n",
              "      <td>801.700000</td>\n",
              "      <td>1000.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         NU_NOTA_CN    NU_NOTA_CH    NU_NOTA_MT    NU_NOTA_LC  NU_NOTA_REDACAO\n",
              "count  92758.000000  98043.000000  92758.000000  98043.000000     98043.000000\n",
              "mean     477.964015    507.365912    523.555206    520.463928       571.570025\n",
              "std       76.296099     82.972839    109.416939     64.556578       188.076455\n",
              "min        0.000000      0.000000      0.000000      0.000000         0.000000\n",
              "25%      418.000000    447.900000    435.300000    483.700000       480.000000\n",
              "50%      470.200000    510.900000    501.600000    526.100000       580.000000\n",
              "75%      533.300000    567.100000    598.200000    565.100000       680.000000\n",
              "max      797.300000    809.400000    985.000000    801.700000      1000.000000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zyAPbx0T5zOt",
        "outputId": "05e00018-7c68-4f23-ed9d-78776c2195dc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        }
      },
      "source": [
        "dados[\"NU_NOTA_LC\"].plot.box(figsize=(8,6), grid = True  )"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc295a84d30>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 81
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e4O1_wal8jsr",
        "outputId": "8e2daaa3-c559-4bc9-9cb0-07adf2c6718e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        }
      },
      "source": [
        "dados[provas].boxplot(figsize=(8,6), grid = True  )"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc2959f3be0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}