Aula02_Eder.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Aula02-Eder.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyPvr1N0YjrMaFXyXGwXhR32",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "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/Aula02_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": "q5RROmjuOHjS"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\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)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xT1XctsRPxbY",
        "outputId": "030ce5c2-ce7d-4434-d9df-467e15da400b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 470
        }
      },
      "source": [
        "dados.query(\"NU_IDADE <=14\")[\"SG_UF_RESIDENCIA\"].value_counts(normalize=True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "PE    0.124138\n",
              "CE    0.103448\n",
              "BA    0.096552\n",
              "PA    0.082759\n",
              "MG    0.075862\n",
              "SP    0.075862\n",
              "MA    0.062069\n",
              "PB    0.048276\n",
              "PI    0.048276\n",
              "GO    0.048276\n",
              "DF    0.027586\n",
              "AM    0.027586\n",
              "MT    0.027586\n",
              "SE    0.020690\n",
              "PR    0.020690\n",
              "TO    0.020690\n",
              "RO    0.013793\n",
              "AL    0.013793\n",
              "SC    0.013793\n",
              "RN    0.006897\n",
              "AP    0.006897\n",
              "RS    0.006897\n",
              "MS    0.006897\n",
              "RJ    0.006897\n",
              "ES    0.006897\n",
              "AC    0.006897\n",
              "Name: SG_UF_RESIDENCIA, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "36RWT-xDQmqS",
        "outputId": "faed7969-ab85-4463-883c-b089d370efa1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        }
      },
      "source": [
        "alunos_menor_14 = dados.query(\"NU_IDADE <=14\")\n",
        "alunos_menor_14[\"SG_UF_RESIDENCIA\"].value_counts(normalize=True).plot.pie(figsize=(10,8))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f90a5a010b8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o-mSelAHRUoi",
        "outputId": "048a378f-5fbb-434e-a72c-1c6c6100f1bf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 506
        }
      },
      "source": [
        "alunos_menor_14 = dados.query(\"NU_IDADE <=14\")\n",
        "alunos_menor_14[\"SG_UF_RESIDENCIA\"].value_counts(normalize=True).plot.bar(figsize=(10,8))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f90a538d2b0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        },
        {
          "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": "UT7B5jFVT316",
        "outputId": "38611a0f-5d39-424f-ba6d-b9a6587ae63a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.boxplot(x=\"Q006\", y = \"NU_NOTA_MT\", data = dados)\n",
        "plt.title(\"Boxplot das notas de Matemática pela renda\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Boxplot das notas de Matemática pela renda')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "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": "lezAaYexVnkC",
        "outputId": "9bd34f8a-f6b2-4c5d-a4c0-5b6c64363ae6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.boxplot(x=\"Q006\", y = \"NU_NOTA_MT\", data = dados, order = renda_ordenada)\n",
        "plt.title(\"Boxplot das notas de Matemática pela renda\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Boxplot das notas de Matemática pela renda')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        },
        {
          "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": "jOsQPTkJVOeA",
        "outputId": "e3b8da81-a403-4b1e-a30e-62eebb860365",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "renda_ordenada = dados[\"Q006\"].unique()\n",
        "renda_ordenada.sort()\n",
        "print(renda_ordenada)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['A' 'B' 'C' 'D' 'E' 'F' 'G' 'H' 'I' 'J' 'K' 'L' 'M' 'N' 'O' 'P' 'Q']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BCTGopBEWwsa",
        "outputId": "fa5e5673-22df-485d-b375-0471a771b386",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 244
        }
      },
      "source": [
        "provas = [\"NU_NOTA_CN\", \"NU_NOTA_CH\", \"NU_NOTA_MT\", \"NU_NOTA_LC\", \"NU_NOTA_REDACAO\" ]\n",
        "dados[\"NU_NOTA_TOTAL\"] = dados[provas].sum(axis = 1 )\n",
        "dados.head()"
      ],
      "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_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",
              "      <th>NU_NOTA_TOTAL</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>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",
              "      <td>2288.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>190001004674</td>\n",
              "      <td>2019</td>\n",
              "      <td>1504208</td>\n",
              "      <td>Marabá</td>\n",
              "      <td>15</td>\n",
              "      <td>PA</td>\n",
              "      <td>23</td>\n",
              "      <td>M</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1504208.0</td>\n",
              "      <td>Marabá</td>\n",
              "      <td>15.0</td>\n",
              "      <td>PA</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>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>99999ABCEBCEDDECEEEBBCCEECCABDABEEBCDEAEBBEAEA...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>CBABADBBCEEEBCBADCBEEDBBEADBBACDBBACCCCADACAC</td>\n",
              "      <td>BBEDABDACACBABAECBBCCADCEBDBBCDDEEAAADDBECDECA...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>400.0</td>\n",
              "      <td>C</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>A</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>B</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",
              "      <td>1184.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>190001004722</td>\n",
              "      <td>2019</td>\n",
              "      <td>1501402</td>\n",
              "      <td>Belém</td>\n",
              "      <td>15</td>\n",
              "      <td>PA</td>\n",
              "      <td>35</td>\n",
              "      <td>F</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1501402.0</td>\n",
              "      <td>Belém</td>\n",
              "      <td>15.0</td>\n",
              "      <td>PA</td>\n",
              "      <td>1</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>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>99999ECBCECEBBABECCCECECCEECCDECEEEDADDDDECEDD...</td>\n",
              "      <td>DDBEADEBBCADCEEACABECBCEBADECADCEDAACBDABABCE</td>\n",
              "      <td>1</td>\n",
              "      <td>AAECACDEADCBCDDDBCBDADAEABCEBABEEBCBEECEBDADC</td>\n",
              "      <td>CBABADBBCEEEBCBADCBEEDBBEADBBACDBBACCCCADACAC</td>\n",
              "      <td>BBEDABDACACBABAECBBCCADCEBDBBCDDEEAAADDBECDECA...</td>\n",
              "      <td>EEEADBEBACABCDBABECECACDCBDCCEDCDABEDECDDDBAA</td>\n",
              "      <td>1.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>560.0</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>B</td>\n",
              "      <td>5</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>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>B</td>\n",
              "      <td>B</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>B</td>\n",
              "      <td>2350.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>190001004735</td>\n",
              "      <td>2019</td>\n",
              "      <td>1507300</td>\n",
              "      <td>São Félix do Xingu</td>\n",
              "      <td>15</td>\n",
              "      <td>PA</td>\n",
              "      <td>23</td>\n",
              "      <td>F</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1505437.0</td>\n",
              "      <td>Ourilândia do Norte</td>\n",
              "      <td>15.0</td>\n",
              "      <td>PA</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>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>99999BABCDABBCBDDAAECADBDDADDCBCEEDCAEBCEAEABD...</td>\n",
              "      <td>CBDEBBCBDEBCABCDBDEDADCCBEDBCAECEBEBDEBAEECBC</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>100.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>500.0</td>\n",
              "      <td>E</td>\n",
              "      <td>C</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>1</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>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>B</td>\n",
              "      <td>2555.7</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>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",
              "      <td>2803.5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 137 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   NU_INSCRICAO  NU_ANO  CO_MUNICIPIO_RESIDENCIA  ... Q024  Q025 NU_NOTA_TOTAL\n",
              "0  190001004661    2019                  1506138  ...    B     B        2288.9\n",
              "1  190001004674    2019                  1504208  ...    A     B        1184.6\n",
              "2  190001004722    2019                  1501402  ...    A     B        2350.5\n",
              "3  190001004735    2019                  1507300  ...    A     B        2555.7\n",
              "4  190001004776    2019                  1500800  ...    A     B        2803.5\n",
              "\n",
              "[5 rows x 137 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oTbkyoseXcss",
        "outputId": "0f47e0c7-c531-4d6f-8c99-263fa92b9bb5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.boxplot(x=\"Q006\", y = \"NU_NOTA_TOTAL\", data = dados, order = renda_ordenada)\n",
        "plt.title(\"Boxplot das notas de Totais pela renda\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Boxplot das notas de Totais pela renda')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        },
        {
          "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": "MHGfVh-_YRzv",
        "outputId": "8c809d01-423f-464b-bebf-d20924e25ee7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        }
      },
      "source": [
        "sns.displot(data = dados, x = \"NU_NOTA_TOTAL\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f90afec8c50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vYw28EZwZCZO",
        "outputId": "51ab029c-8ff0-43d3-8309-702cfdaa54a0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        }
      },
      "source": [
        "provas.append(\"NU_NOTA_TOTAL\")\n",
        "dados[provas].query(\"NU_NOTA_TOTAL==0\" )"
      ],
      "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",
              "      <th>NU_NOTA_TOTAL</th>\n",
              "      <th>NU_NOTA_TOTAL</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127351</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127365</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127366</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127368</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127374</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>29162 rows × 7 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        NU_NOTA_CN  NU_NOTA_CH  ...  NU_NOTA_TOTAL  NU_NOTA_TOTAL\n",
              "10             NaN         NaN  ...            0.0            0.0\n",
              "11             NaN         NaN  ...            0.0            0.0\n",
              "26             NaN         NaN  ...            0.0            0.0\n",
              "38             NaN         NaN  ...            0.0            0.0\n",
              "40             NaN         NaN  ...            0.0            0.0\n",
              "...            ...         ...  ...            ...            ...\n",
              "127351         NaN         NaN  ...            0.0            0.0\n",
              "127365         NaN         NaN  ...            0.0            0.0\n",
              "127366         NaN         NaN  ...            0.0            0.0\n",
              "127368         NaN         NaN  ...            0.0            0.0\n",
              "127374         NaN         NaN  ...            0.0            0.0\n",
              "\n",
              "[29162 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "96D3K1AcbBL1",
        "outputId": "61ad075a-c4d1-4c14-c194-331450843001",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        }
      },
      "source": [
        "dados_sem_nota_zero = dados[provas].query(\"NU_NOTA_TOTAL!=0\")\n",
        "dados_sem_nota_zero.head()"
      ],
      "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",
              "      <th>NU_NOTA_TOTAL</th>\n",
              "      <th>NU_NOTA_TOTAL</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>435.6</td>\n",
              "      <td>512.3</td>\n",
              "      <td>432.4</td>\n",
              "      <td>488.6</td>\n",
              "      <td>420.0</td>\n",
              "      <td>2288.9</td>\n",
              "      <td>2288.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>NaN</td>\n",
              "      <td>409.3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>375.3</td>\n",
              "      <td>400.0</td>\n",
              "      <td>1184.6</td>\n",
              "      <td>1184.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>423.2</td>\n",
              "      <td>499.1</td>\n",
              "      <td>427.2</td>\n",
              "      <td>441.0</td>\n",
              "      <td>560.0</td>\n",
              "      <td>2350.5</td>\n",
              "      <td>2350.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>426.2</td>\n",
              "      <td>578.1</td>\n",
              "      <td>499.9</td>\n",
              "      <td>551.5</td>\n",
              "      <td>500.0</td>\n",
              "      <td>2555.7</td>\n",
              "      <td>2555.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>516.5</td>\n",
              "      <td>571.3</td>\n",
              "      <td>424.5</td>\n",
              "      <td>511.2</td>\n",
              "      <td>780.0</td>\n",
              "      <td>2803.5</td>\n",
              "      <td>2803.5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   NU_NOTA_CN  NU_NOTA_CH  ...  NU_NOTA_TOTAL  NU_NOTA_TOTAL\n",
              "0       435.6       512.3  ...         2288.9         2288.9\n",
              "1         NaN       409.3  ...         1184.6         1184.6\n",
              "2       423.2       499.1  ...         2350.5         2350.5\n",
              "3       426.2       578.1  ...         2555.7         2555.7\n",
              "4       516.5       571.3  ...         2803.5         2803.5\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K30UjDM1bvtc"
      },
      "source": [
        "dados_sem_nota_zero = dados.query(\"NU_NOTA_TOTAL!=0\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NLQ6czXabWk9",
        "outputId": "346a14f0-085c-4ef3-d253-8910f5b528c9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "sns.boxplot(x=\"Q006\", y = \"NU_NOTA_TOTAL\", data = dados_sem_nota_zero, order = renda_ordenada)\n",
        "plt.title(\"Boxplot das notas de Totais pela renda\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Boxplot das notas de Totais pela renda')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        },
        {
          "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": "ruuMcWOTcUPM",
        "outputId": "0c65a27b-0136-4203-d8d5-bb33bbf6d2d8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "plt.figure(figsize=(14,8))\n",
        "sns.boxplot(x=\"Q006\", y = \"NU_NOTA_TOTAL\", data = dados_sem_nota_zero, \n",
        "            hue=\"IN_TREINEIRO\", order = renda_ordenada)\n",
        "plt.title(\"Boxplot das notas de Totais pela renda\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Boxplot das notas de Totais pela renda')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ShhdvX49dgvo",
        "outputId": "d80338ca-106b-493d-bef6-41c2118721c4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "plt.figure(figsize=(14,8))\n",
        "sns.boxplot(x=\"Q006\", y = \"NU_NOTA_TOTAL\", data = dados_sem_nota_zero, \n",
        "            hue=\"TP_SEXO\", order = renda_ordenada)\n",
        "plt.title(\"Boxplot das notas de Totais pela renda\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Boxplot das notas de Totais pela renda')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HqOWwyWkeTkA",
        "outputId": "dfa3d797-ece8-42a3-c6ac-2aaf849c027f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "plt.figure(figsize=(14,8))\n",
        "sns.boxplot(x=\"Q006\", y = \"NU_NOTA_TOTAL\", data = dados_sem_nota_zero, \n",
        "            hue=\"Q025\", order = renda_ordenada)\n",
        "plt.title(\"Boxplot das notas de Totais pela renda\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Boxplot das notas de Totais pela renda')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}