desempenho_enem_2019_no_PI.ipynb

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   "cell_type": "markdown",
   "metadata": {
    "id": "YsWCtYgG6X1z"
   },
   "source": [
    "# Piauí: esforçado na educação, porém (ainda) pouco recompensado."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   "source": [
    "<img src=\"img/piaui.jpg\" alt=\"Drawing\" style=\"width: 600px;\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SQ4sMDXp1ErL"
   },
   "source": [
    "Avisos:\n",
    "\n",
    "\n",
    "*   Todos os resultados impressos neste notebook foram feitos utilizando-se a base completa do Enem 2019;\n",
    "*   Todas as medidas de desempenho foram baseadas na nota total, que é o somatório das provas de \"Linguagens, Códigos e suas Tecnologias\", \"Ciências Humanas e suas Tecnologias\", \"Redação\", \"Matemática e suas Tecnologias\" e \"Ciências da Natureza e suas Tecnologias\"; além disso, os dados somente foram considerados para análise caso o somatório das notas do candidato tenha sido diferente de zero;\n",
    "*   Para complementar as análises, foram utilizados dados do IBGE, explicados adiante.\n",
    "*   Boa leitura!\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 0. Bibliotecas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
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   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import numpy as np\n",
    "import matplotlib.font_manager as font_manager\n",
    "\n",
    "from matplotlib.patches import Rectangle\n",
    "from pandas_ods_reader import read_ods\n",
    "from numpy import median"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UWYHXwAppmhb",
    "tags": []
   },
   "source": [
    "# 1. Leitura da base"
   ]
  },
  {
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    "outputId": "fb62f003-f5eb-4db0-b31e-11e3a327c252",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(5095270, 15)"
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     "execution_count": 2,
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   "source": [
    "provas = [\"NU_NOTA_CN\",\"NU_NOTA_CH\",\"NU_NOTA_MT\",\"NU_NOTA_LC\",\"NU_NOTA_REDACAO\"]\n",
    "dados = []\n",
    "chunksize = 10**6\n",
    "\n",
    "# os dados do ENEM podem ser obtidos em https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos/microdados/enem\n",
    "# a base utilizada - \"Microdados do ENEM 2019\" possui quase 3 GB de tamanho.\n",
    "\n",
    "path = 'data/MICRODADOS_ENEM_2019.csv'\n",
    "chunks = pd.read_csv(path, sep=';', encoding='latin1', chunksize = chunksize)\n",
    "                     \n",
    "for chunk in chunks:\n",
    "    dado = chunk            \n",
    "    colunas = ['NO_MUNICIPIO_RESIDENCIA','SG_UF_RESIDENCIA','TP_ESCOLA','TP_PRESENCA_CN','TP_PRESENCA_CH','TP_PRESENCA_LC',\n",
    "               'TP_PRESENCA_MT','NU_NOTA_CN','NU_NOTA_CH','NU_NOTA_MT','NU_NOTA_LC','NU_NOTA_REDACAO','Q010', 'Q011']\n",
    "    dados.append(dado[colunas])\n",
    "    print('.')\n",
    "\n",
    "df = pd.concat(dados)\n",
    "df[\"NU_NOTA_TOTAL\"] = df[provas].sum(axis=1)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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    "execution": {
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   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NO_MUNICIPIO_RESIDENCIA</th>\n",
       "      <th>SG_UF_RESIDENCIA</th>\n",
       "      <th>TP_ESCOLA</th>\n",
       "      <th>TP_PRESENCA_CN</th>\n",
       "      <th>TP_PRESENCA_CH</th>\n",
       "      <th>TP_PRESENCA_LC</th>\n",
       "      <th>TP_PRESENCA_MT</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>Q010</th>\n",
       "      <th>Q011</th>\n",
       "      <th>NU_NOTA_TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Santarém</td>\n",
       "      <td>PA</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>472.9</td>\n",
       "      <td>466.0</td>\n",
       "      <td>369.1</td>\n",
       "      <td>497.3</td>\n",
       "      <td>780.0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>2585.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mãe do Rio</td>\n",
       "      <td>PA</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>358.9</td>\n",
       "      <td>495.4</td>\n",
       "      <td>416.5</td>\n",
       "      <td>482.3</td>\n",
       "      <td>600.0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>2353.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Paragominas</td>\n",
       "      <td>PA</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>574.2</td>\n",
       "      <td>538.7</td>\n",
       "      <td>571.5</td>\n",
       "      <td>582.6</td>\n",
       "      <td>640.0</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>2907.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>São Sebastião da Boa Vista</td>\n",
       "      <td>PA</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Juruti</td>\n",
       "      <td>PA</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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>A</td>\n",
       "      <td>B</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      NO_MUNICIPIO_RESIDENCIA SG_UF_RESIDENCIA  TP_ESCOLA  TP_PRESENCA_CN  \\\n",
       "0                    Santarém               PA          1               1   \n",
       "1                  Mãe do Rio               PA          1               1   \n",
       "2                 Paragominas               PA          3               1   \n",
       "3  São Sebastião da Boa Vista               PA          2               0   \n",
       "4                      Juruti               PA          1               0   \n",
       "\n",
       "   TP_PRESENCA_CH  TP_PRESENCA_LC  TP_PRESENCA_MT  NU_NOTA_CN  NU_NOTA_CH  \\\n",
       "0               1               1               1       472.9       466.0   \n",
       "1               1               1               1       358.9       495.4   \n",
       "2               1               1               1       574.2       538.7   \n",
       "3               0               0               0         NaN         NaN   \n",
       "4               0               0               0         NaN         NaN   \n",
       "\n",
       "   NU_NOTA_MT  NU_NOTA_LC  NU_NOTA_REDACAO Q010 Q011  NU_NOTA_TOTAL  \n",
       "0       369.1       497.3            780.0    A    A         2585.3  \n",
       "1       416.5       482.3            600.0    A    A         2353.1  \n",
       "2       571.5       582.6            640.0    C    A         2907.0  \n",
       "3         NaN         NaN              NaN    A    A            0.0  \n",
       "4         NaN         NaN              NaN    A    B            0.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZIAz3QasQ-ic"
   },
   "source": [
    "# 2. Introdução e análises"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "iIm_82keNtEe"
   },
   "source": [
    "Certa vez li uma matéria sobre investimento por aluno na educação pública . Era uma reportagem que mostrava uma aparente correlação entre o orçamento para a educação pública e o desempenho estudantil, segundo o Ideb (Índice de Desenvolvimento da Educação Básica) em diferentes estados brasileiros; porém, focando nos dez estados com os piores índices. Tal leitura foi há alguns anos. \n",
    "Eis os dois primeiros parágrafos daquela reportagem de 2011:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WFZlqEyal4vZ"
   },
   "source": [
    "<img src=\"img/noticia_educacao.jpg\" alt=\"Drawing\" style=\"width: 600px;\"/>\n",
    "\n",
    "**Fonte:** https://educacao.uol.com.br/noticias/2011/02/22/seis-dos-dez-estados-com-pior-qualidade-de-educacao-investem-menos-por-aluno.htm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MSjp427L5Vq7"
   },
   "source": [
    "Desde a reportagem até o ENEM 2019 passaram-se quase 10 anos.\n",
    " \n",
    "Vamos verificar se o desempenho dos candidatos do Enem 2019 nos seis estados citados na notícia sugere algum avanço após esse período. A figura a seguir apresenta um diagrama de caixa, comparando o desempenho destes seis estados com o restante dos estados brasileiros, mas apenas dos candidatos que cursam ou cursaram o ensino médio em escola pública.\n",
    "\n",
    "\n"
   ]
  },
  {
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   "execution_count": 4,
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    {
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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Considerar os dados sem notas zeros.\n",
    "dados_sem_notas_zero = df.query(\"NU_NOTA_TOTAL != 0\")\n",
    "\n",
    "# Atribuir \"DEMAIS ESTADOS\" para o nome dos estados que não são citados na notícia\n",
    "dados_BR = dados_sem_notas_zero.query(\"SG_UF_RESIDENCIA != 'AL' & \\\n",
    "SG_UF_RESIDENCIA != 'BA' & \\\n",
    "SG_UF_RESIDENCIA != 'PA' & \\\n",
    "SG_UF_RESIDENCIA != 'PB' & \\\n",
    "SG_UF_RESIDENCIA != 'PE' & \\\n",
    "SG_UF_RESIDENCIA != 'PI'\")\n",
    "pd.options.mode.chained_assignment = None \n",
    "dados_BR[\"SG_UF_RESIDENCIA\"] = 'Demais\\nestados'\n",
    "\n",
    "#Criar um df apenas para os estados da notícia\n",
    "dados_BR_especificos = dados_sem_notas_zero.query(\"SG_UF_RESIDENCIA == 'AL' | \\\n",
    "SG_UF_RESIDENCIA == 'BA' | \\\n",
    "SG_UF_RESIDENCIA == 'PA' | \\\n",
    "SG_UF_RESIDENCIA == 'PB' | \\\n",
    "SG_UF_RESIDENCIA == 'PE' | \\\n",
    "SG_UF_RESIDENCIA == 'PI'\")\n",
    "\n",
    "#Consolidando os dois dados\n",
    "dados_BR = dados_BR.append(dados_BR_especificos, ignore_index = True)\n",
    "\n",
    "# Portanto, o df dados_BR possui 7 valores para estados: \n",
    "# AL, BA, PA, PB, PE, PI e DEMAIS ESTADOS (onde não constam o desempenho dos 6 primeiros) \n",
    "\n",
    "# Ordernar por mediana (decrescente)\n",
    "dados_BR_escola_publica = dados_BR.query(\"TP_ESCOLA == 2\")\n",
    "mediana_ordenada_escola_publica = dados_BR.groupby('SG_UF_RESIDENCIA')['NU_NOTA_TOTAL'].median().sort_values(ascending=False).index\n",
    "mediana_ordenada_escola_publica = mediana_ordenada_escola_publica.tolist()\n",
    "\n",
    "# Parâmetros do gráfico\n",
    "sns.set(style=\"darkgrid\", font_scale=1.5)\n",
    "\n",
    "Figura_1, ax = plt.subplots(figsize=(9, 9))\n",
    "sns.boxplot(x=\"SG_UF_RESIDENCIA\", y = \"NU_NOTA_TOTAL\",ax=ax, data = dados_BR_escola_publica, palette=\"Set3\",order=mediana_ordenada_escola_publica)\n",
    "plt.title(\"Diagrama de caixa das notas totais por estado\\n(candidatos do ensino médio de escola pública)\\n\",fontsize=20)\n",
    "plt.ylabel(\"Nota total\",fontsize=20)\n",
    "ax.set(ylim=(1, None))\n",
    "plt.xlabel(\"\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-dKkpfVID5lR"
   },
   "source": [
    "Conforme pode ser observado, todos os estados citados na reportagem apresentaram uma curva de desempenho inferior aos demais estados do Brasil.\n",
    "Um ponto de atenção, em especial, é  o estado do Pará, onde quase metade dos *outliers* das maiores notas  estão dentro do *whisker* superior do conjunto formado pelos demais estados.\n",
    "Mas será que esses seis estados são justamente os que apresentaram o pior desempenho de candidatos oriundos do ensino público no Enem 2019?\n",
    "\n",
    "Para responder a esta questão, analisamos a figura seguinte, que traz a mediana dos dez menores desempenhos dos candidatos que cursam ou cursaram o ensino médio em escola pública. Como comparação, também traz a informação dos candidatos que cursam ou cursaram o ensino médio em escolas privadas dos respectivos estados."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-22T02:09:01.472182Z",
     "iopub.status.busy": "2021-09-22T02:09:01.472182Z",
     "iopub.status.idle": "2021-09-22T02:09:10.060182Z",
     "shell.execute_reply": "2021-09-22T02:09:10.059182Z",
     "shell.execute_reply.started": "2021-09-22T02:09:01.472182Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Considerar os dados sem notas zeros e de escolas públicas e privadas\n",
    "dados_sem_notas_zero = df.query(\"NU_NOTA_TOTAL != 0 & (TP_ESCOLA == 2 | TP_ESCOLA == 3)\")\n",
    "dados_sem_notas_zero_escola_publica = dados_sem_notas_zero.query(\"TP_ESCOLA == 2\")\n",
    "dados_sem_notas_zero_escola_privada = dados_sem_notas_zero.query(\"TP_ESCOLA == 3\")\n",
    "\n",
    "# Calcular a mediana para ordenar corretamente no gráfico\n",
    "mediana_escola_publica = dados_sem_notas_zero_escola_publica.groupby('SG_UF_RESIDENCIA')['NU_NOTA_TOTAL'].median()\n",
    "mediana_escola_publica_ordenada = mediana_escola_publica.sort_values(ascending=True).index\n",
    "mediana_escola_publica_ordenada = mediana_escola_publica_ordenada.tolist()[0:10]\n",
    "\n",
    "# Parâmetros do gráfico\n",
    "sns.set(style=\"darkgrid\", font_scale=1.6)\n",
    "Figura_2, ax = plt.subplots(figsize=(15,8))\n",
    "ax = sns.barplot(ax=ax,x=\"SG_UF_RESIDENCIA\", y=\"NU_NOTA_TOTAL\", data=dados_sem_notas_zero, hue=\"TP_ESCOLA\",palette = sns.color_palette(palette = [\"SteelBlue\" , \"Salmon\"]),\n",
    "                 estimator=median,order=mediana_escola_publica_ordenada)\n",
    "ax.set(ylim=(0, 3600))\n",
    "ax.set_ylabel(\"Nota total\",fontsize=20)\n",
    "ax.set_xlabel(\"\")\n",
    "\n",
    "labels=[\"Escola pública\",\"Escola privada\"]\n",
    "h, l = ax.get_legend_handles_labels()\n",
    "ax.legend(h, labels,loc='upper left',fontsize=15)\n",
    "plt.title(\"Mediana dos 10 menores desempenhos no Enem 2019 entre candidatos de escola pública\\n(e comparação com o desempenho entre os candidatos de escola privada)\\n\")\n",
    "\n",
    "ax.add_patch(Rectangle((4 - .5, 0 - .5), 1, 3300, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((5 - .5, 0 - .5), 1, 3300, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((6 - .5, 0 - .5), 1, 3300, facecolor=\"yellow\",alpha=0.3))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WAnRHwNE_Fj5"
   },
   "source": [
    "De acordo com a figura acima, dentre os dez estados que apresentaram os piores desempenhos no Enem 2019 (escola pública), constam três (PA, AL e PI) dos seis estados citados naquela reportagem de 2011.\n",
    "\n",
    "No entanto, o que mais chama a atenção é a diferença dos resultados da prova entre candidatos da escola pública em relação aos da escola privada. Vamos investigar um pouco melhor isso a seguir. A próxima figura apresenta o mesmo diagrama de caixa abordado anteriormente; porém, somente com os candidatos do ensino privado.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-22T02:09:10.061182Z",
     "iopub.status.busy": "2021-09-22T02:09:10.061182Z",
     "iopub.status.idle": "2021-09-22T02:09:10.574182Z",
     "shell.execute_reply": "2021-09-22T02:09:10.573182Z",
     "shell.execute_reply.started": "2021-09-22T02:09:10.061182Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Ordernar por mediana (decrescente)\n",
    "dados_BR_escola_privada = dados_BR.query(\"TP_ESCOLA == 3\")\n",
    "mediana_ordenada_escola_privada = dados_BR_escola_privada.groupby('SG_UF_RESIDENCIA')['NU_NOTA_TOTAL'].median().sort_values(ascending=False).index\n",
    "mediana_ordenada_escola_privada = mediana_ordenada_escola_privada.tolist()\n",
    "\n",
    "# Parâmetros do gráfico\n",
    "sns.set(style=\"darkgrid\", font_scale=1.5)\n",
    "Figura_3, ax = plt.subplots(figsize=(9, 9))\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "sns.boxplot(x=\"SG_UF_RESIDENCIA\", y = \"NU_NOTA_TOTAL\",ax=ax, data = dados_BR_escola_privada, palette=\"Set3\",order = mediana_ordenada_escola_privada)\n",
    "plt.title(\"Diagrama de caixa das notas totais por estado\\n(candidatos do ensino médio de escola privada)\\n\",fontsize=20)\n",
    "plt.ylabel(\"Nota total\")\n",
    "ax.set(ylim=(1, None))\n",
    "plt.xlabel(\"\")\n",
    "\n",
    "# Adicionar destaque amarelo\n",
    "ax.add_patch(Rectangle((0 - .5, 0 - .5), 1, 4400, facecolor=\"yellow\",alpha=0.3))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OppEhjf_Au_1"
   },
   "source": [
    "As diferenças das curvas dos desempenhos dos candidatos daqueles seis estados citados na notícia inicial, em comparação com o conjunto formado pelos demais estados do Brasil, não são tão significativas quanto foram para o ensino público, com exceção de Alagoas.\n",
    "\n",
    "Nota-se, ainda, que o desempenho dos candidatos que cursam ou cursaram o ensino privado no Piauí ficou acima da mediana do conjunto de candidatos dos demais estados do Brasil; ou seja, enquanto no ensino público o Estado do Piauí \"puxa\" a mediana do Brasil para baixo (conforme foi visto na Figura 1), no ensino privado ocorre o oposto.\n",
    "\n",
    "Considerando todos os estados do Brasil, seria o Piauí aquele com a maior desigualdade de desempenho entre candidatos do ensino público e privado? A figura a seguir apresenta as dez maiores diferenças da mediana do desempenho entre esses candidatos no Enem 2019.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-22T02:09:10.575182Z",
     "iopub.status.busy": "2021-09-22T02:09:10.575182Z",
     "iopub.status.idle": "2021-09-22T02:09:11.521182Z",
     "shell.execute_reply": "2021-09-22T02:09:11.521182Z",
     "shell.execute_reply.started": "2021-09-22T02:09:10.575182Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Considerar os dados sem notas zeros e de escolas públicas e privadas\n",
    "dados_sem_notas_zero = df.query(\"NU_NOTA_TOTAL != 0 & (TP_ESCOLA == 2 | TP_ESCOLA == 3)\")\n",
    "dados_sem_notas_zero_escola_publica = dados_sem_notas_zero.query(\"TP_ESCOLA == 2\")\n",
    "dados_sem_notas_zero_escola_privada = dados_sem_notas_zero.query(\"TP_ESCOLA == 3\")\n",
    "\n",
    "# Ordenar por mediana (decrescente)\n",
    "mediana_escola_publica = dados_sem_notas_zero_escola_publica.groupby('SG_UF_RESIDENCIA')['NU_NOTA_TOTAL'].median()\n",
    "mediana_escola_privada = dados_sem_notas_zero_escola_privada.groupby('SG_UF_RESIDENCIA')['NU_NOTA_TOTAL'].median()\n",
    "delta_notas = mediana_escola_privada -mediana_escola_publica\n",
    "delta_notas_ordenado = delta_notas.sort_values(ascending=False).index\n",
    "delta_notas_ordenado = delta_notas_ordenado.tolist()[0:10]\n",
    "\n",
    "df_delta_notas = pd.DataFrame()\n",
    "df_delta_notas[\"UF\"] = delta_notas_ordenado\n",
    "df_delta_notas[\"delta\"] = delta_notas.sort_values(ascending=False).tolist()[0:10]\n",
    "\n",
    "# Parâmetros do gráfico\n",
    "sns.set(style=\"darkgrid\", font_scale=1.6)\n",
    "Figura_4, ax = plt.subplots(figsize=(15,8));\n",
    "\n",
    "ax = sns.barplot(ax=ax,x=\"UF\", y=\"delta\", data=df_delta_notas, palette = sns.color_palette(palette = [\"SteelBlue\"]),estimator=median,order=delta_notas_ordenado);\n",
    "ax.set_ylabel(\"Diferença da nota total\",fontsize=20)\n",
    "ax.set_xlabel(\"\")\n",
    "\n",
    "plt.title(\"As 10 maiores diferenças da mediana do desempenho entre\\ncandidatos de escola pública e privada no Enem 2019\\n\")\n",
    "\n",
    "# Adicionar destaque amarelo\n",
    "ax.add_patch(Rectangle((1 - .5, 0 - .5), 1, 780, facecolor=\"yellow\",alpha=0.3))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "efj8UWMGN1IZ"
   },
   "source": [
    "Após analisar a figura acima, verifica-se que Piauí não foi o primeiro, mas o segundo estado com a maior desigualdade entre os desempenhos do Enem 2019 por tipo de escola.\n",
    "\n",
    "Neste momento, já temos as seguintes constatações sobre Piauí:\n",
    "\n",
    "*   Um dos seis estados que menos recebia investimento por aluno no Brasil em 2011;\n",
    "*   Apresentou baixo resultado no Ideb da rede estadual naquele ano;\n",
    "*   O seu ensino público no Enem 2019 figurou entre as últimas colocações do Brasil;\n",
    "*   O seu ensino privado, por sua vez, ficou acima da mediana do Brasil; \n",
    "*   Foi o segundo estado com maior disparidade de desempenho entre o ensino privado e público no Enem 2019.\n",
    "\n",
    "A partir dessas reflexões surgem vários questionamentos:\n",
    "\n",
    "\n",
    "\n",
    "*   O que pode ser feito para melhorar o ensino público e atenuar a diferença no estado do Piauí?\n",
    "*   Qual a expectativa sobre o futuro? Um aumento ou diminuição da disparidade do desempenho entre os ensinos públicos e privados?\n",
    "*   Quais outros indicadores socioeconômicos podem ser correlacionados com tal diferença e, portanto, monitorados para futuras previsões, análises e ações?\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "Cada um destes questionamentos pode resultar em novas investigações. Para a presente análise, vamos buscar um indicador socioecônomico chamado índice de Gini. Antes, uma breve explicação a respeito dele:\n",
    "\n",
    "**índice (ou coeficiente) de Gini**: Medida de desigualdade relativa obtida a partir da Curva de Lorenz, que relaciona o percentual acumulado da população em ordem crescente de rendimentos (eixo x) e o percentual acumulado de rendimentos (eixo y). Quando os percentuais acumulados de população correspondem aos percentuais acumulados de rendimentos (10% da população com 10% dos rendimentos, por exemplo), tem se a linha de perfeita igualdade. A Curva de Lorenz representa a distribuição real de rendimentos de uma dada população tendo, em geral, formato convexo. Quanto mais afastada da linha de perfeita igualdade, mais desigual a distribuição. **O índice de Gini é uma medida numérica que representa o afastamento de uma dada distribuição de renda (Curva de Lorenz) da linha de perfeita igualdade, variando de “0” (situação onde não há desigualdade) e “1” (desigualdade máxima, ou seja, toda a renda apropriada por um único indivíduo)**\n",
    "\n",
    "**Fonte:** Síntese de Indicadores Sociais. Uma Análise das Condições de Vida. IBGE, 2018.\n",
    "<br> \n",
    "<br>\n",
    "A próxima figura traz os valores do índice de Gini desde o seu início (2012) até 2019, por estado. O tamanho de cada barra representa o somatório do índice de Gini em cada ano. Dessa maneira, é uma forma apropriada de representar, em um só gráfico, todo o histórico desse índice disponível no portal do IBGE.\n"
   ]
  },
  {
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    {
     "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>csas</th>\n",
       "      <th>Nivel_territorial</th>\n",
       "      <th>Abertura_geografica</th>\n",
       "      <th>Tipo</th>\n",
       "      <th>ind</th>\n",
       "      <th>classe</th>\n",
       "      <th>sub_classe</th>\n",
       "      <th>Unid</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10110001</td>\n",
       "      <td>País</td>\n",
       "      <td>Brasil</td>\n",
       "      <td>Valor</td>\n",
       "      <td>População residente, com rendimento</td>\n",
       "      <td>Tipo de Rendimento</td>\n",
       "      <td>Todas as fontes¹</td>\n",
       "      <td>(1 000 pessoas)</td>\n",
       "      <td>119957.0</td>\n",
       "      <td>121765.0</td>\n",
       "      <td>123863.0</td>\n",
       "      <td>124710.0</td>\n",
       "      <td>124992.0</td>\n",
       "      <td>125784.0</td>\n",
       "      <td>128257.0</td>\n",
       "      <td>131229.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10110002</td>\n",
       "      <td>País</td>\n",
       "      <td>Brasil</td>\n",
       "      <td>Valor</td>\n",
       "      <td>População residente, com rendimento</td>\n",
       "      <td>Tipo de Rendimento</td>\n",
       "      <td>Todos os trabalhos¹</td>\n",
       "      <td>(1 000 pessoas)</td>\n",
       "      <td>86142.0</td>\n",
       "      <td>87640.0</td>\n",
       "      <td>89007.0</td>\n",
       "      <td>89390.0</td>\n",
       "      <td>88469.0</td>\n",
       "      <td>88777.0</td>\n",
       "      <td>90116.0</td>\n",
       "      <td>92458.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10110003</td>\n",
       "      <td>País</td>\n",
       "      <td>Brasil</td>\n",
       "      <td>Valor</td>\n",
       "      <td>População residente, com rendimento</td>\n",
       "      <td>Tipo de Rendimento</td>\n",
       "      <td>Outras fontes</td>\n",
       "      <td>(1 000 pessoas)</td>\n",
       "      <td>46632.0</td>\n",
       "      <td>46938.0</td>\n",
       "      <td>47254.0</td>\n",
       "      <td>47850.0</td>\n",
       "      <td>49038.0</td>\n",
       "      <td>49697.0</td>\n",
       "      <td>51751.0</td>\n",
       "      <td>52682.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10110004</td>\n",
       "      <td>País</td>\n",
       "      <td>Brasil</td>\n",
       "      <td>Valor</td>\n",
       "      <td>População residente, com rendimento</td>\n",
       "      <td>Tipo de Rendimento</td>\n",
       "      <td>Aposentadoria e pensão</td>\n",
       "      <td>(1 000 pessoas)</td>\n",
       "      <td>25820.0</td>\n",
       "      <td>25974.0</td>\n",
       "      <td>27065.0</td>\n",
       "      <td>27356.0</td>\n",
       "      <td>28449.0</td>\n",
       "      <td>29021.0</td>\n",
       "      <td>30448.0</td>\n",
       "      <td>30734.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10110005</td>\n",
       "      <td>País</td>\n",
       "      <td>Brasil</td>\n",
       "      <td>Valor</td>\n",
       "      <td>População residente, com rendimento</td>\n",
       "      <td>Tipo de Rendimento</td>\n",
       "      <td>Aluguel e arrendamento</td>\n",
       "      <td>(1 000 pessoas)</td>\n",
       "      <td>3474.0</td>\n",
       "      <td>3409.0</td>\n",
       "      <td>3164.0</td>\n",
       "      <td>3461.0</td>\n",
       "      <td>3686.0</td>\n",
       "      <td>3949.0</td>\n",
       "      <td>4263.0</td>\n",
       "      <td>4468.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       csas Nivel_territorial Abertura_geografica   Tipo  \\\n",
       "0  10110001              País              Brasil  Valor   \n",
       "1  10110002              País              Brasil  Valor   \n",
       "2  10110003              País              Brasil  Valor   \n",
       "3  10110004              País              Brasil  Valor   \n",
       "4  10110005              País              Brasil  Valor   \n",
       "\n",
       "                                   ind              classe  \\\n",
       "0  População residente, com rendimento  Tipo de Rendimento   \n",
       "1  População residente, com rendimento  Tipo de Rendimento   \n",
       "2  População residente, com rendimento  Tipo de Rendimento   \n",
       "3  População residente, com rendimento  Tipo de Rendimento   \n",
       "4  População residente, com rendimento  Tipo de Rendimento   \n",
       "\n",
       "               sub_classe             Unid      2012      2013      2014  \\\n",
       "0        Todas as fontes¹  (1 000 pessoas)  119957.0  121765.0  123863.0   \n",
       "1     Todos os trabalhos¹  (1 000 pessoas)   86142.0   87640.0   89007.0   \n",
       "2           Outras fontes  (1 000 pessoas)   46632.0   46938.0   47254.0   \n",
       "3  Aposentadoria e pensão  (1 000 pessoas)   25820.0   25974.0   27065.0   \n",
       "4  Aluguel e arrendamento  (1 000 pessoas)    3474.0    3409.0    3164.0   \n",
       "\n",
       "       2015      2016      2017      2018      2019  \n",
       "0  124710.0  124992.0  125784.0  128257.0  131229.0  \n",
       "1   89390.0   88469.0   88777.0   90116.0   92458.0  \n",
       "2   47850.0   49038.0   49697.0   51751.0   52682.0  \n",
       "3   27356.0   28449.0   29021.0   30448.0   30734.0  \n",
       "4    3461.0    3686.0    3949.0    4263.0    4468.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
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    }
   ],
   "source": [
    "# os dados podem ser obtidos em https://www.ibge.gov.br/estatisticas/sociais/rendimento-despesa-e-consumo/17270-pnad-continua.html?edicao=27257&t=resultados\n",
    "path = 'data/PNAD_Continua_2019_Rendimento_de_Todas_as_Fontes.ods'\n",
    "sheet_name = \"Trab_hab_Outros_efetivo\"\n",
    "df_ibge = read_ods(path, sheet_name)\n",
    "df_ibge.head()"
   ]
  },
  {
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    {
     "data": {
      "text/html": [
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       "        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>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abertura_geografica</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RO</th>\n",
       "      <td>0.455</td>\n",
       "      <td>0.432</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.416</td>\n",
       "      <td>0.478</td>\n",
       "      <td>0.449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC</th>\n",
       "      <td>0.511</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.497</td>\n",
       "      <td>0.501</td>\n",
       "      <td>0.494</td>\n",
       "      <td>0.501</td>\n",
       "      <td>0.497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AM</th>\n",
       "      <td>0.530</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.509</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RR</th>\n",
       "      <td>0.520</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.513</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.509</td>\n",
       "      <td>0.485</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA</th>\n",
       "      <td>0.514</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.487</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.487</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.509</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      2012   2013   2014   2015   2016   2017   2018   2019\n",
       "Abertura_geografica                                                        \n",
       "RO                   0.455  0.432  0.422  0.427  0.422  0.416  0.478  0.449\n",
       "AC                   0.511  0.504  0.476  0.497  0.501  0.494  0.501  0.497\n",
       "AM                   0.530  0.528  0.509  0.500  0.516  0.552  0.495  0.514\n",
       "RR                   0.520  0.536  0.513  0.529  0.509  0.485  0.543  0.529\n",
       "PA                   0.514  0.506  0.487  0.489  0.487  0.486  0.536  0.509"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Capturar apenas os dados do índice de Gini por estado\n",
    "df_gini = df_ibge.query(\"classe=='Gini'\")\n",
    "df_gini_por_Estado = df_gini.copy().query(\"Nivel_territorial=='Unidade da Federação' & ind == 'Índice de Gini do rendimento médio mensal real das pessoas de 14 anos ou mais de idade, em todos os trabalhos, a preços médios do ano' & \\\n",
    "Tipo == 'Valor'\")\n",
    "\n",
    "# Tratar os nomes dos estados dos dados (IBGE fornece os nomes dos estados por extenso)\n",
    "dic = {\"Acre\": \"AC\", \"Alagoas\": \"AL\", \"Amapá\": \"AP\",\"Amazonas\":\"AM\", \"Bahia\":\"BA\", \"Ceará\":\"CE\", \"Distrito Federal\":\"DF\", \"Espirito Santo\":\"ES\", \"Goiás\":\"GO\", \\\n",
    "      \"Maranhão\":\"MA\",\"Mato Grosso\":\"MT\",\"Mato Grosso do Sul\":\"MS\",\"Minas Gerais\":\"MG\",\"Pará\":\"PA\",\"Paraíba\":\"PB\",\"Paraná\":\"PR\",\"Pernambuco\":\"PE\", \"Piauí\":\"PI\", \\\n",
    "      \"Rio de Janeiro\":\"RJ\",\"Rio Grande do Norte\":\"RN\",\"Rio Grande do Sul\":\"RS\",\"Rondônia\":\"RO\",\"Roraima\":\"RR\",\"Santa Catarina\":\"SC\",\"São Paulo\":\"SP\", \\\n",
    "      \"Sergipe\":\"SE\",\"Tocantins\":\"TO\"}\n",
    "df_gini_por_Estado['Abertura_geografica'].replace(dic, inplace=True)\n",
    "\n",
    "# Realizar novo filtro no df do índice de Gini, dessa vez para capturar apenas as colunas necessárias na análise.\n",
    "# Além disso, alterar o índice do df para o estado.\n",
    "df_gini_por_Estado = df_gini_por_Estado[[\"Abertura_geografica\",\"2012\",\"2013\",\"2014\",\"2015\",\"2016\",\"2017\",\"2018\",\"2019\"]]\n",
    "df_gini_por_Estado.set_index(\"Abertura_geografica\",inplace=True, drop=True)\n",
    "df_gini_por_Estado.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
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    "execution": {
     "iopub.execute_input": "2021-09-22T02:09:20.629182Z",
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    {
     "data": {
      "text/plain": [
       "Abertura_geografica\n",
       "SC    3.230\n",
       "RO    3.501\n",
       "MT    3.522\n",
       "GO    3.538\n",
       "AL    3.634\n",
       "MS    3.641\n",
       "PR    3.646\n",
       "ES    3.756\n",
       "RS    3.756\n",
       "MG    3.761\n",
       "RJ    3.802\n",
       "TO    3.901\n",
       "AP    3.904\n",
       "AC    3.981\n",
       "MA    3.987\n",
       "SP    3.993\n",
       "PA    4.014\n",
       "RN    4.024\n",
       "AM    4.144\n",
       "RR    4.164\n",
       "CE    4.186\n",
       "PB    4.207\n",
       "PE    4.210\n",
       "BA    4.243\n",
       "SE    4.322\n",
       "PI    4.418\n",
       "DF    4.439\n",
       "dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ordem do índice Geni acumulado de 2012 a 2019\n",
    "ordem_soma_gini = df_gini_por_Estado.sum(axis=1).sort_values()\n",
    "ordem_soma_gini"
   ]
  },
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    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1944x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import seaborn as sns\n",
    "from matplotlib.patches import Rectangle\n",
    "\n",
    "# Utilizei a ordem obtida na célula anterior pois eu não consegui gerar o gráfico de barras empilhado ordenado automaticamente.\n",
    "grafico_barras = pd.DataFrame()\n",
    "grafico_barras = pd.concat([df_gini_por_Estado.loc['SC',:],df_gini_por_Estado.loc['RO',:],df_gini_por_Estado.loc['MT',:],df_gini_por_Estado.loc['GO',:],df_gini_por_Estado.loc['AL',:],\\\n",
    "                            df_gini_por_Estado.loc['MS',:],df_gini_por_Estado.loc['PR',:],df_gini_por_Estado.loc['RS',:],df_gini_por_Estado.loc['ES',:],df_gini_por_Estado.loc['MG',:],\\\n",
    "                            df_gini_por_Estado.loc['RJ',:],df_gini_por_Estado.loc['TO',:],df_gini_por_Estado.loc['AP',:],df_gini_por_Estado.loc['AC',:],df_gini_por_Estado.loc['MA',:],\\\n",
    "                            df_gini_por_Estado.loc['SP',:],df_gini_por_Estado.loc['PA',:],df_gini_por_Estado.loc['RN',:],df_gini_por_Estado.loc['AM',:],df_gini_por_Estado.loc['RR',:],\\\n",
    "                            df_gini_por_Estado.loc['CE',:],df_gini_por_Estado.loc['PB',:],df_gini_por_Estado.loc['PE',:],df_gini_por_Estado.loc['BA',:],df_gini_por_Estado.loc['SE',:],\\\n",
    "                            df_gini_por_Estado.loc['PI',:],df_gini_por_Estado.loc['DF',:]],axis=1)\n",
    "\n",
    "# Parâmetros do gráfico\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "Figura_5, ax = plt.subplots(figsize=(27,8))\n",
    "ax = grafico_barras.T.plot.bar(ax=ax,stacked=True,grid=True,fontsize=20,alpha=0.5,width=0.7)\n",
    "\n",
    "handles, labels = ax.get_legend_handles_labels() # Inverter a ordem dos labels da legenda (estava aparecendo na ordem crescente, 2012 acima e 2019 abaixo)\n",
    "ax.legend()\n",
    "\n",
    "plt.title(\"Série acumulada de índices de Gini de 2012 a 2019\\n\", fontsize=25)    \n",
    "ax.legend(reversed(handles), reversed(labels),bbox_to_anchor=(1.05, 1), loc='upper center', borderaxespad=0.,fontsize=20)    \n",
    "ax.set_ylabel('Índice de Gini',fontsize=30)\n",
    "\n",
    "# Rotina para adicionar os labels no próprio gráfico\n",
    "for rect in ax.patches:\n",
    "    # Encontrar os valores de cada seção empilhada\n",
    "    height = rect.get_height()\n",
    "    width = rect.get_width()\n",
    "    x = rect.get_x()\n",
    "    y = rect.get_y()\n",
    "    \n",
    "    # A altura da barra é o valor do dado e é utilizado como o próprio label\n",
    "    label_text = f'{height:.3f}'  # f'{height:.2f}' to format decimal values\n",
    "    \n",
    "    # Obtenção dos parâmetros para centralizar os labels\n",
    "    label_x = x + width / 2\n",
    "    label_y = y + height / 2\n",
    "\n",
    "    # Para futuros reusos: a fim de evitar que fique texto residual, caso tenha algum valor = 0, ele não postará o label \"0\"  \n",
    "    if height != 0:\n",
    "        ax.text(label_x, label_y, label_text, ha='center', va='center', fontsize=12)\n",
    "\n",
    "\n",
    "# Adicionar destaques amarelos para os dados dos estados com desempenho no Enem 2019 mais desiguais entre escola pública e privada\n",
    "someX, someY = ordem_soma_gini.index.get_loc('PI'),0\n",
    "ax.add_patch(Rectangle((someX - .5, someY - .5), 1, 5.2, facecolor=\"yellow\",alpha=0.3))\n",
    "someX, someY = ordem_soma_gini.index.get_loc('AM'),0\n",
    "ax.add_patch(Rectangle((someX - .5, someY - .5), 1, 5.2, facecolor=\"yellow\",alpha=0.3))\n",
    "someX, someY = ordem_soma_gini.index.get_loc('CE'),0\n",
    "ax.add_patch(Rectangle((someX - .5, someY - .5), 1, 5.2, facecolor=\"yellow\",alpha=0.3))\n",
    "someX, someY = ordem_soma_gini.index.get_loc('BA'),0\n",
    "ax.add_patch(Rectangle((someX - .5, someY - .5), 1, 5.2, facecolor=\"yellow\",alpha=0.3))\n",
    "\n",
    "\n",
    "# Esconder os valores do eixo Y já que não agregam valor ao gráfico\n",
    "ax.set_yticklabels([])\n",
    "\n",
    "# Rotacionar os rótulos do eixo X\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 0)\n",
    "\n",
    "# Ajustar limite do eixo y\n",
    "ax.set(ylim=(0, 5))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "j_VsQZic0rco"
   },
   "source": [
    "**Fonte:** https://www.ibge.gov.br/estatisticas/sociais/rendimento-despesa-e-consumo/17270-pnad-continua.html?edicao=27257&t=resultados"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "GYsMh4Uz03NQ"
   },
   "source": [
    "Como pode ser observado, o estado do Piauí é o segundo com a renda mais desigual no Brasil.\n",
    "\n",
    "Além do Piauí, outros três estados que estão entre os que tiveram maior desigualdade no desempenho no Enem 2019 também estão entre os dez que apresentaram as maiores desigualdades de renda: AM, CE e BA.\n",
    "\n",
    "Vamos verificar, agora, os dez estados menos desiguais no desempenho no Enem 2019, destacando-se os estados que estão entre os dez menos desiguais na renda, conforme a figura anterior.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-22T02:09:22.543182Z",
     "iopub.status.busy": "2021-09-22T02:09:22.543182Z",
     "iopub.status.idle": "2021-09-22T02:09:23.599182Z",
     "shell.execute_reply": "2021-09-22T02:09:23.598182Z",
     "shell.execute_reply.started": "2021-09-22T02:09:22.543182Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Considerar os dados sem notas zeros e de escolas públicas e privadas\n",
    "dados_sem_notas_zero = df.query(\"NU_NOTA_TOTAL != 0 & (TP_ESCOLA == 2 | TP_ESCOLA == 3)\")\n",
    "dados_sem_notas_zero_escola_publica = dados_sem_notas_zero.query(\"TP_ESCOLA == 2\")\n",
    "dados_sem_notas_zero_escola_privada = dados_sem_notas_zero.query(\"TP_ESCOLA == 3\")\n",
    "\n",
    "# Calcular a mediana para ordenar corretamente no gráfico\n",
    "mediana_escola_publica = dados_sem_notas_zero_escola_publica.groupby('SG_UF_RESIDENCIA')['NU_NOTA_TOTAL'].median()\n",
    "mediana_escola_privada = dados_sem_notas_zero_escola_privada.groupby('SG_UF_RESIDENCIA')['NU_NOTA_TOTAL'].median()\n",
    "delta_notas = mediana_escola_privada -mediana_escola_publica\n",
    "delta_notas_ordenado = delta_notas.sort_values(ascending=True).index\n",
    "delta_notas_ordenado = delta_notas_ordenado.tolist()[0:10]\n",
    "\n",
    "df_delta_notas = pd.DataFrame()\n",
    "df_delta_notas[\"UF\"] = delta_notas_ordenado\n",
    "df_delta_notas[\"delta\"] = delta_notas.sort_values(ascending=True).tolist()[0:10]\n",
    "\n",
    "\n",
    "# Parâmetros do gráfico\n",
    "sns.set(style=\"darkgrid\", font_scale=1.6)\n",
    "\n",
    "Figura_6, ax = plt.subplots(figsize=(15,8))\n",
    "\n",
    "ax = sns.barplot(ax=ax,x=\"UF\", y=\"delta\", data=df_delta_notas, palette = sns.color_palette(palette = [\"SteelBlue\"]),estimator=median,order=delta_notas_ordenado)\n",
    "\n",
    "ax.set_ylabel(\"Diferença da nota total\",fontsize=20)\n",
    "ax.set_xlabel(\"\")\n",
    "\n",
    "labels=[\"Escola Pública\",\"Escola Privada\"]\n",
    "\n",
    "plt.title(\"As 10 menores diferenças da mediana do desempenho entre\\ncandidatos de escola pública e privada no Enem 2019\\n\")\n",
    "\n",
    "# Adicionar destaques amarelospara os estados com menor desigualdade de renda\n",
    "ax.add_patch(Rectangle((0 - .5, 0 - .5), 1, 600, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((2 - .5, 0 - .5), 1, 600, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((5 - .5, 0 - .5), 1, 600, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((6 - .5, 0 - .5), 1, 600, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((7 - .5, 0 - .5), 1, 600, facecolor=\"yellow\",alpha=0.3))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SKB3jEP9H2c5"
   },
   "source": [
    "Constata-se que cinco estados (AL, SC, PR, RO e RS) estão entre os que apresentaram as menores diferenças entre ensino público e privado no desempenho no Enem 2019 e que também figuram entre os dez estados com menor desigualdade na renda. Repare que isso não indica necessariamente que o desempenho do ensino público nestes estados foi bom; mas, apenas, foi menos desigual em relação ao ensino privado.\n",
    "\n",
    "Levanta-se uma hipótese: seria a falta de investimento por aluno na educação pública somada à alta desigualdade na renda a responsável pelas maiores diferenças de desempenho dos candidatos no Enem 2019 entre os ensinos público e privado?\n",
    "\n",
    "Para respondê-la são necessários mais dados; por exemplo, pode-se obter a série histórica de investimentos na educação pública por aluno na educação fundamental e estudar a correlação no desempenho do Enem alguns anos depois (quando o aluno estava terminando o ensino médio). Fica, portanto, a primeira sugestão de um trabalho futuro.\n",
    "\n",
    "Também vale a ressalva que já existem muitos estudos nesta temática (abaixo uma lista de alguns deles); portanto, é muito importante valer-se de análises e conclusões publicadas para enriquecer a qualidade de novos estudos.\n",
    "\n",
    "Exemplos de estudos no assunto:\n",
    "\n",
    "\n",
    "*   \"Um estudo do investimento público em educação básica no Brasil e do desempenho dos alunos em avaliações nacionais por Unidade Federativa no período de 1998 a 2007\" (2009), por Fernando Gasparotto Puccinelli e Valmor Slomski;\n",
    "*   \"Investimento público em educação básica e o desempenho dos alunos em avaliações nacionais: um estudo nos municípios pertencentes à associação dos municípios da encosta superior do nordeste do Rio Grande do Sul - Amesne - RS\" (2014), por Nelton Carlos Conte e Sheila Donin;\n",
    "*   \"Gasto público em educação e desempenho escolar\" (2015), por Joana Monteiro;\n",
    "*   \"Relação entre investimento em educação e índices educacionais para municípios gaúchos no período de 2005 a 2015\" (2018), por Gabriela Drevnovicz Silveira et al.\n",
    "<br>\n",
    "\n",
    "\n",
    "Voltando ao Piauí e considerando as análises feitas até o momento, temos consolidada uma preocupação em particular sobre a educação pública deste estado. Um dos questionamentos que fizemos anteriormente foi:\n",
    "\n",
    "\"Qual a expectativa sobre o futuro? Um aumento ou diminuição da disparidade do desempenho entre os ensinos públicos e privados?\"\n",
    "\n",
    "Sabe-se que uma das maneiras de obter melhores condições socioeconômicas é com a educação. E o acesso ao ensino superior público e gratuito, que é o principal interesse dos candidatos que realizam o Enem, é crucial nesse processo. A primeira etapa é a fundamentação de uma sólida formação infantil, fundamental e média. Mas outra etapa, de curtíssima duração, mas de extrema importância, é o acesso aos locais da prova nos dias do exame.\n",
    "\n",
    "Um indicador que podemos recorrer para levantar possíveis problemas nos diferentes estados e regiões é a taxa de abstenção dos candidatos. Sabe-se, também, que a realidade do transporte é significativamente diferente entre aqueles candidatos que possuem carro ou moto em suas residências e aqueles que não os possuem.\n",
    "\n",
    "Primeiramente, vamos verificar este indicador para os candidatos que não possuem transporte próprio em suas residências. A figura a seguir mostra a taxa de abstenção de candidatos das capitais e das demais regiões, por estado, mas apenas dos que não possuem moto ou carro."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-22T02:09:23.600182Z",
     "iopub.status.busy": "2021-09-22T02:09:23.600182Z",
     "iopub.status.idle": "2021-09-22T02:09:28.381182Z",
     "shell.execute_reply": "2021-09-22T02:09:28.381182Z",
     "shell.execute_reply.started": "2021-09-22T02:09:23.600182Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1944x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lista das capitais dos estados para serem utilizadas no filtro\n",
    "capitais = [\"Rio Branco\", \"Maceió\", \"Macapá\", \"Manaus\", \"Salvador\", \"Fortaleza\",\n",
    "\"Vitória\",\"Goiânia\", \"São Luís\", \"Cuiabá\", \"Campo Grande\", \"Belo Horizonte\",\n",
    "\"Belém\", \"João Pessoa\", \"Curitiba\", \"Recife\", \"Teresina\", \"Rio de Janeiro\", \"Natal\",\n",
    "\"Porto Alegre\", \"Porto Velho\", \"Boa Vista\", \"Florianópolis\", \"São Paulo\", \"Aracaju\",\n",
    "\"Palmas\", \"Brasília\"]\n",
    "\n",
    "# Considerar apenas candidatos que não possuem meios de transporte na residência\n",
    "dados_candidatos_sem_transporte = df.copy().query(\"Q010 == 'A' & Q011 == 'A'\") \n",
    "\n",
    "# Considerar todos os candidatos que residem em capitais\n",
    "dados_candidatos_capital = dados_candidatos_sem_transporte[dados_candidatos_sem_transporte['NO_MUNICIPIO_RESIDENCIA'].isin(capitais)].copy()\n",
    "\n",
    "# Preencher a primeira parte do df que será utilizado no gráfico\n",
    "dados_candidatos_abstencao = dados_candidatos_capital.copy()\n",
    "\n",
    "# Atribuir o valor \"Capital\" para os candidatos que residem em capitais.\n",
    "dados_candidatos_abstencao[\"CAPITAL_OU_NAO\"] = 'Capital' \n",
    "\n",
    "# Considerar e atribuir o valor \"Demais Cidades\" para todos os candidatos que não residem em capitais.\n",
    "dados_candidatos_nao_capital = dados_candidatos_sem_transporte[~dados_candidatos_sem_transporte['NO_MUNICIPIO_RESIDENCIA'].isin(capitais)].copy()\n",
    "dados_candidatos_nao_capital[\"CAPITAL_OU_NAO\"] = 'Demais Cidades' # Atribuir o valor \"Demais Cidades\" para os candidatos que não residem em capitais.\n",
    "\n",
    "# Unir os dois dfs (candidatos de capitais e candidatos de não capitais)\n",
    "dados_candidatos_abstencao = dados_candidatos_abstencao.append(dados_candidatos_nao_capital,ignore_index = True) \n",
    "\n",
    "#criar um novo DataFrame para computar os dados.\n",
    "taxa_abstencao = pd.DataFrame() \n",
    "\n",
    "#Considerar os candidatos que faltaram em pelo menos uma das provas\n",
    "taxa_abstencao[\"Capital\"] = (dados_candidatos_abstencao.query(\"(TP_PRESENCA_CN == 0 | TP_PRESENCA_CH == 0 | TP_PRESENCA_LC == 0 | TP_PRESENCA_MT == 0) & CAPITAL_OU_NAO == 'Capital'\")[\"SG_UF_RESIDENCIA\"].value_counts() / \\\n",
    "                             dados_candidatos_abstencao.query(\"CAPITAL_OU_NAO == 'Capital'\")[\"SG_UF_RESIDENCIA\"].value_counts()*100)\n",
    "taxa_abstencao[\"Demais Cidades\"] = (dados_candidatos_abstencao.query(\"(TP_PRESENCA_CN == 0 | TP_PRESENCA_CH == 0 | TP_PRESENCA_LC == 0 | TP_PRESENCA_MT == 0) & CAPITAL_OU_NAO == 'Demais Cidades'\")[\"SG_UF_RESIDENCIA\"].value_counts() / \\\n",
    "                             dados_candidatos_abstencao.query(\"CAPITAL_OU_NAO == 'Demais Cidades'\")[\"SG_UF_RESIDENCIA\"].value_counts()*100)\n",
    "\n",
    "# Ordenar pelos estados com menores taxas de abstenção\n",
    "indice_ordenado = taxa_abstencao.mean(axis=1).sort_values(ascending=True).index \n",
    "\n",
    "# Atualizar o DataFrame com o índice ordenado\n",
    "taxa_abstencao = taxa_abstencao.loc[indice_ordenado, :] \n",
    "\n",
    "# Parâmetros do gráfico\n",
    "font_prop = font_manager.FontProperties(size=15)\n",
    "Figura_7 = plt.figure(figsize=(27, 8))\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "ax = Figura_7.add_subplot(111)\n",
    "\n",
    "taxa_abstencao.plot(kind='bar', ax=ax, width=0.7, position=0.5, ylim=(0, 50),grid=True,fontsize=20,alpha=0.4,colormap='BrBG') \n",
    "ax.set_ylabel('Taxa de abstenção (%)',fontsize=20)\n",
    "\n",
    "plt.legend(fontsize=20)\n",
    "plt.title(\"Taxa de abstenção por estado de candidatos que não possuem moto ou carro em sua residência no Enem 2019\\n\",fontsize=20)\n",
    "\n",
    "# Adicionar destaque amarelo para as menores taxas de abstenção\n",
    "ax.add_patch(Rectangle((0 - .5, 0 - .5), 1, 40, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((1 - .5, 0 - .5), 1, 40, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((2 - .5, 0 - .5), 1, 40, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((5 - .5, 0 - .5), 1, 40, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((7 - .5, 0 - .5), 1, 40, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((8 - .5, 0 - .5), 1, 40, facecolor=\"yellow\",alpha=0.3))\n",
    "ax.add_patch(Rectangle((9 - .5, 0 - .5), 1, 40, facecolor=\"yellow\",alpha=0.3))\n",
    "\n",
    "# Rotacionar os rótulos do eixo X\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 0)\n",
    "\n",
    "# Quebrar a legenda em 2 colunas\n",
    "ax.legend(ncol=2,fontsize=17)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7gAEVO9FVWRz"
   },
   "source": [
    "Constatamos que Piauí foi o estado com a menor taxa de abstenção média do Enem 2019 dentre os candidatos sem transporte próprio em suas residências.\n",
    "\n",
    "O DF não apresenta a taxa de abstenção além da capital pois não há outros municípios.\n",
    "\n",
    "Vale a pena destacar ainda que, dentre os dez estados com menores taxas de abstenção de candidatos que não possuem moto ou carro, existem sete estados que estão entre os dez mais desiguais em renda. São eles: PI, SE, BA, PE, PB, CE e RN. Uma hipótese é que, em tais estados, o acesso ao ensino superior público e gratuito é visto como o grande potencial de alavancar socioeconomicamente e, assim, atenuar a desigualdade na renda da população. Mas os detalhes da razão desta observação também podem ser investigados com maiores detalhes posteriormente. Temos, então, a segunda sugestão de um trabalho futuro.\n",
    "\n",
    "A próxima figura apresenta a mesma informação; porém, para os candidatos que possuem algum meio de transporte em suas residências:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-22T02:09:28.381182Z",
     "iopub.status.busy": "2021-09-22T02:09:28.381182Z",
     "iopub.status.idle": "2021-09-22T02:09:33.838182Z",
     "shell.execute_reply": "2021-09-22T02:09:33.837182Z",
     "shell.execute_reply.started": "2021-09-22T02:09:28.381182Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1944x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lista das capitais dos estados para serem utilizadas no filtro\n",
    "capitais = [\"Rio Branco\", \"Maceió\", \"Macapá\", \"Manaus\", \"Salvador\", \"Fortaleza\",\n",
    "\"Vitória\",\"Goiânia\", \"São Luís\", \"Cuiabá\", \"Campo Grande\", \"Belo Horizonte\",\n",
    "\"Belém\", \"João Pessoa\", \"Curitiba\", \"Recife\", \"Teresina\", \"Rio de Janeiro\", \"Natal\",\n",
    "\"Porto Alegre\", \"Porto Velho\", \"Boa Vista\", \"Florianópolis\", \"São Paulo\", \"Aracaju\",\n",
    "\"Palmas\", \"Brasília\"]\n",
    "\n",
    "# Considerar apenas candidatos que possuem meios de transporte na residência\n",
    "dados_candidatos_sem_transporte = df.query(\"Q010 != 'A' | Q011 != 'A'\").copy()\n",
    "\n",
    "# Considerar todos os candidatos que residem em capitais\n",
    "dados_candidatos_capital = dados_candidatos_sem_transporte[dados_candidatos_sem_transporte['NO_MUNICIPIO_RESIDENCIA'].isin(capitais)].copy()\n",
    "\n",
    "# Preencher a primeira parte do df que será utilizado no gráfico\n",
    "dados_candidatos_abstencao = dados_candidatos_capital.copy()\n",
    "\n",
    "# Atribuir o valor \"Capital\" para os candidatos que residem em capitais.\n",
    "dados_candidatos_abstencao[\"CAPITAL_OU_NAO\"] = 'Capital'\n",
    "\n",
    "# Considerar e atribuir o valor \"Demais Cidades\" para todos os candidatos que não residem em capitais.\n",
    "dados_candidatos_nao_capital = dados_candidatos_sem_transporte[~dados_candidatos_sem_transporte['NO_MUNICIPIO_RESIDENCIA'].isin(capitais)].copy()\n",
    "dados_candidatos_nao_capital[\"CAPITAL_OU_NAO\"] = 'Demais Cidades'\n",
    "\n",
    "# Unir os dois dfs (candidatos de capitais e candidatos de não capitais)\n",
    "dados_candidatos_abstencao = dados_candidatos_abstencao.append(dados_candidatos_nao_capital,ignore_index = True) \n",
    "\n",
    "# Criar um novo DataFrame para computar os dados.\n",
    "taxa_abstencao = pd.DataFrame()\n",
    "\n",
    "# Considerar os candidatos que faltaram em pelo menos uma das provas\n",
    "taxa_abstencao[\"Capital\"] = (dados_candidatos_abstencao.query(\"(TP_PRESENCA_CN == 0 | TP_PRESENCA_CH == 0 | TP_PRESENCA_LC == 0 | TP_PRESENCA_MT == 0) & CAPITAL_OU_NAO == 'Capital'\")[\"SG_UF_RESIDENCIA\"].value_counts() / \\\n",
    "                             dados_candidatos_abstencao.query(\"CAPITAL_OU_NAO == 'Capital'\")[\"SG_UF_RESIDENCIA\"].value_counts()*100)\n",
    "taxa_abstencao[\"Demais Cidades\"] = (dados_candidatos_abstencao.query(\"(TP_PRESENCA_CN == 0 | TP_PRESENCA_CH == 0 | TP_PRESENCA_LC == 0 | TP_PRESENCA_MT == 0) & CAPITAL_OU_NAO == 'Demais Cidades'\")[\"SG_UF_RESIDENCIA\"].value_counts() / \\\n",
    "                             dados_candidatos_abstencao.query(\"CAPITAL_OU_NAO == 'Demais Cidades'\")[\"SG_UF_RESIDENCIA\"].value_counts()*100)\n",
    "\n",
    "# Ordenar pelos estados com menores taxas de abstenção\n",
    "indice_ordenado = taxa_abstencao.mean(axis=1).sort_values(ascending=True).index \n",
    "\n",
    "# Atualizar o DataFrame com o índice ordenado\n",
    "taxa_abstencao = taxa_abstencao.loc[indice_ordenado, :] \n",
    "\n",
    "# Parâmetros do gráfico\n",
    "font_prop = font_manager.FontProperties(size=15) # Gerenciador da fonte do gráfico\n",
    "Figura_8 = plt.figure(figsize=(27, 8))\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "ax = Figura_8.add_subplot(111)\n",
    "taxa_abstencao.plot(kind='bar', ax=ax, width=0.7, position=0.5, ylim=(0, 50),grid=True,fontsize=20,alpha=0.4,colormap='BrBG') \n",
    "ax.set_ylabel('Taxa de abstenção (%)',fontsize=20)\n",
    "plt.legend(fontsize=20)\n",
    "\n",
    "# Adicionar destaque amarelo para o estado do Piauí\n",
    "ax.add_patch(Rectangle((3 - .5, 0 - .5), 1, 40, facecolor=\"yellow\",alpha=0.3))\n",
    "\n",
    "plt.title(\"Taxa de abstenção por estado de candidatos que possuem moto ou carro em sua residência no Enem 2019\\n\",fontsize=20)\n",
    "\n",
    "# Rotacionar os rótulos do eixo X\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 0)\n",
    "\n",
    "# Quebrar a legenda em 2 colunas\n",
    "ax.legend(ncol=2,fontsize=17)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SAxKnvmgW-pc"
   },
   "source": [
    "Desta vez, Sergipe foi o estado que apresentou a menor taxa de abstenção do Enem 2019 dentre os candidatos que possuem algum transporte próprio em suas residências.\n",
    "\n",
    "Mas, no geral, considerando todos os candidatos, Piauí destaca-se quanto a este indicador há algum tempo, conforme a manchete a seguir:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "F0SaRGjqU7qD"
   },
   "source": [
    "<img src=\"img/noticia_taxa_presenca.jpg\" alt=\"Drawing\" style=\"width: 600px;\"/>\n",
    "\n",
    "**Fonte:** https://g1.globo.com/pi/piaui/noticia/2019/11/04/piaui-tem-maior-taxa-de-presenca-no-primeiro-dia-de-enem-pelo-4o-ano-consecutivo.ghtml"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "njjcyGnWQ4OI",
    "tags": []
   },
   "source": [
    "# 3. Conclusões"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8V5-X6vVZIa-"
   },
   "source": [
    "Diante do exposto, parece haver enorme vontade dos candidatos piauienses continuarem seus estudos no ensino superior público e gratuito, mas que, provavelmente, em decorrência da falta de investimento na educação pública, há um grande abismo entre os desempenhos e, consequentemente, entre as oportunidades alcançadas pelos candidatos oriundos de escolas públicas em relação àqueles de escolas particulares.\n",
    "\n",
    "Este abismo pode ficar ainda maior se for ignorado pelo Estado.\n",
    "\n",
    "Entretanto, este cenário da educação pública do Piauí não está, aparentemente, sendo desconsiderado, visto que a realidade nesse estado parece estar em plena transformação positiva. O último Ideb evidenciou enormes avanços, conforme consta na notícia a seguir:\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "X4J4Zg8bjBKA"
   },
   "source": [
    "![](https://drive.google.com/uc?export=view&id=1kEaIOaJo3IYX9Ea3DduMm3CKRdnZ9g9U)\n",
    "\n",
    "\n",
    "\n",
    "**Fonte:** https://www.pi.gov.br/noticias/piaui-e-destaque-no-ideb-2019-e-avanca-em-todas-as-etapas-de-ensino/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pDCAujYvk691"
   },
   "source": [
    "Tal avanço na educação do Piauí ainda não foi refletido no Enem, conforme mostrado e explicado ao longo deste estudo; mas talvez seja apenas uma questão de tempo. Por ora, a comemoração por tal feito no último Ideb é mais do que justa: há de se reconhecer o esforço da população do Piauí que, mesmo diante de obstáculos no caminho, conseguiu um significativo crescimento em qualidade da educação pública estadual."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FlOLy_OYnISw"
   },
   "source": [
    "<img src=\"img/noticia_educacao_PI_2.jpg\" alt=\"Drawing\" style=\"width: 600px;\"/>\n",
    "\n",
    "\n",
    "**Fonte:** https://brasil.elpais.com/brasil/2020-09-20/interior-do-piaui-celebra-avanco-no-ideb-como-se-fosse-a-final-do-brasileirao-mas-impacto-da-pandemia-preocupa.html\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BC8LhDwhpP_z",
    "tags": []
   },
   "source": [
    "# 4. Conteúdo extra e sugestões de trabalhos futuros"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1s5ck0rIpZ_W"
   },
   "source": [
    "Conforme pôde ser notado, há uma grande diferença nas taxas de abstenção entre aqueles que possuem transporte (moto ou carro) em suas residências em comparação com aqueles que não possuem. Também notam-se diferenças, às vezes bastante consideráveis, entre os candidatos residentes nas capitais e os candidatos residentes nas demais regiões do estado.\n",
    "\n",
    "As duas figuras seguintes trazem as mesmas análises apresentadas anteriormente, destacando-se a diferença da taxa de abstenção entre os candidatos que residem nas capitais e aqueles que habitam as demais regiões dos respectivos estados. Esta diferença é representada pelos números acima das colunas. Números marrons indicam abstenção maior na capital e números verdes apontam que a maior abstenção ocorreu nas demais cidades."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-22T02:09:33.839182Z",
     "iopub.status.busy": "2021-09-22T02:09:33.839182Z",
     "iopub.status.idle": "2021-09-22T02:09:39.544182Z",
     "shell.execute_reply": "2021-09-22T02:09:39.544182Z",
     "shell.execute_reply.started": "2021-09-22T02:09:33.839182Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1944x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lista das capitais dos estados para serem utilizadas no filtro\n",
    "capitais = [\"Rio Branco\", \"Maceió\", \"Macapá\", \"Manaus\", \"Salvador\", \"Fortaleza\",\n",
    "\"Vitória\",\"Goiânia\", \"São Luís\", \"Cuiabá\", \"Campo Grande\", \"Belo Horizonte\",\n",
    "\"Belém\", \"João Pessoa\", \"Curitiba\", \"Recife\", \"Teresina\", \"Rio de Janeiro\", \"Natal\",\n",
    "\"Porto Alegre\", \"Porto Velho\", \"Boa Vista\", \"Florianópolis\", \"São Paulo\", \"Aracaju\",\n",
    "\"Palmas\", \"Brasília\"]\n",
    "\n",
    "# Considerar apenas candidatos que não possuem meios de transporte na residência\n",
    "dados_candidatos_sem_transporte = df.query(\"Q010 == 'A' & Q011 == 'A'\").copy()\n",
    "\n",
    "# Considerar todos os candidatos que residem em capitais\n",
    "dados_candidatos_capital = dados_candidatos_sem_transporte[dados_candidatos_sem_transporte['NO_MUNICIPIO_RESIDENCIA'].isin(capitais)].copy()\n",
    "\n",
    "# Preencher a primeira parte do df que será utilizado no gráfico\n",
    "dados_candidatos_abstencao = dados_candidatos_capital.copy()\n",
    "\n",
    "# Atribuir o valor \"Capital\" para os candidatos que residem em capitais.\n",
    "dados_candidatos_abstencao[\"CAPITAL_OU_NAO\"] = 'Capital'\n",
    "\n",
    "# Considerar e atribuir o valor \"Demais Cidades\" para todos os candidatos que não residem em capitais.\n",
    "dados_candidatos_nao_capital = dados_candidatos_sem_transporte[~dados_candidatos_sem_transporte['NO_MUNICIPIO_RESIDENCIA'].isin(capitais)].copy()\n",
    "dados_candidatos_nao_capital[\"CAPITAL_OU_NAO\"] = 'Demais Cidades'\n",
    "\n",
    "# Unir os dois dfs (candidatos de capitais e candidatos de não capitais)\n",
    "dados_candidatos_abstencao = dados_candidatos_abstencao.append(dados_candidatos_nao_capital,ignore_index = True)\n",
    "\n",
    "# Criar um novo DataFrame para computar os dados.\n",
    "taxa_abstencao = pd.DataFrame() \n",
    "\n",
    "# Considerar os candidatos que faltaram em pelo menos uma das provas\n",
    "taxa_abstencao[\"Capital\"] = (dados_candidatos_abstencao.query(\"(TP_PRESENCA_CN == 0 | TP_PRESENCA_CH == 0 | TP_PRESENCA_LC == 0 | TP_PRESENCA_MT == 0) & CAPITAL_OU_NAO == 'Capital'\")[\"SG_UF_RESIDENCIA\"].value_counts() / \\\n",
    "                             dados_candidatos_abstencao.query(\"CAPITAL_OU_NAO == 'Capital'\")[\"SG_UF_RESIDENCIA\"].value_counts()*100)\n",
    "taxa_abstencao[\"Demais Cidades\"] = (dados_candidatos_abstencao.query(\"(TP_PRESENCA_CN == 0 | TP_PRESENCA_CH == 0 | TP_PRESENCA_LC == 0 | TP_PRESENCA_MT == 0) & CAPITAL_OU_NAO == 'Demais Cidades'\")[\"SG_UF_RESIDENCIA\"].value_counts() / \\\n",
    "                             dados_candidatos_abstencao.query(\"CAPITAL_OU_NAO == 'Demais Cidades'\")[\"SG_UF_RESIDENCIA\"].value_counts()*100)\n",
    "\n",
    "# Ordenar pelos estados com menores taxas de abstenção\n",
    "indice_ordenado = taxa_abstencao.mean(axis=1).sort_values(ascending=True).index\n",
    "\n",
    "# Atualizar o DataFrame com o índice ordenado\n",
    "taxa_abstencao = taxa_abstencao.loc[indice_ordenado, :] \n",
    "\n",
    "# Parâmetros do gráfico\n",
    "font_prop = font_manager.FontProperties(size=15) \n",
    "Figura_9 = plt.figure(figsize=(27, 8))\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "ax = Figura_9.add_subplot(111) \n",
    "taxa_abstencao.plot(kind='bar', ax=ax, width=0.7, position=0.5, ylim=(0, 50),grid=True,fontsize=20,alpha=0.4,colormap='BrBG')\n",
    "ax.set_ylabel('Taxa de Abstenção (%)',fontsize=20)\n",
    "plt.legend(fontsize=20)\n",
    "plt.title(\"Taxa de abstenção de candidatos que não possuem moto ou carro em sua residência por estado no Enem 2019\\n\",fontsize=20)\n",
    "\n",
    "# Cálculo da diferença da taxa de abstenção entre residentes na capital e Demais Cidades\n",
    "valores_diferenca = round(taxa_abstencao[\"Capital\"] + (taxa_abstencao[\"Demais Cidades\"]*(-1)),2) # Cálculo da diferença da taxa de abstenção da capital e Demais Cidades\n",
    "valores_label = taxa_abstencao.max(axis=1) + 0.5\n",
    "\n",
    "# Adicionar o valor numérico da diferença entre as taxas de abstenções acima das barras\n",
    "for index, value in enumerate(valores_diferenca):\n",
    "    if np.isnan(value) != True:\n",
    "        if value >= 0:\n",
    "            plt.text(index, valores_label[index],  str(abs(value)),horizontalalignment='center',color=('brown'),fontproperties=font_prop) # Colore de marro para índice de abstenção superior na capital.\n",
    "        else:\n",
    "            plt.text(index, valores_label[index], str(abs(value)),horizontalalignment='center',color=('green'),fontproperties=font_prop) # Colore de verde para índice de abstenção superior em Demais Cidades.\n",
    "\n",
    "# Textos complementares no gráfico\n",
    "plt.text(0, 48, \"Valor sobre as colunas: diferença no índice de abstenção entre a capital e demais cidades:\",horizontalalignment='left',color=('black'),fontproperties=font_prop)\n",
    "plt.text(0.5, 46, \"Marrom - índice superior é na capital\",horizontalalignment='left',color=('brown'),fontproperties=font_prop)\n",
    "plt.text(0.5, 44, \"Verde - índice superior é nos demais municípios\",horizontalalignment='left',color=('green'),fontproperties=font_prop)\n",
    "\n",
    "# Rotacionar os rótulos do eixo X\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 0)\n",
    "\n",
    "# Quebrar a legenda em 2 colunas\n",
    "ax.legend(ncol=2,fontsize=17)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-09-22T02:09:39.544182Z",
     "iopub.status.busy": "2021-09-22T02:09:39.544182Z",
     "iopub.status.idle": "2021-09-22T02:09:45.125182Z",
     "shell.execute_reply": "2021-09-22T02:09:45.125182Z",
     "shell.execute_reply.started": "2021-09-22T02:09:39.544182Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1944x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.font_manager as font_manager\n",
    "import numpy as np\n",
    "import matplotlib.patches as mpatches\n",
    "from matplotlib.patches import Rectangle\n",
    "import seaborn as sns\n",
    "\n",
    "# Lista das capitais dos estados para serem utilizadas no filtro\n",
    "capitais = [\"Rio Branco\", \"Maceió\", \"Macapá\", \"Manaus\", \"Salvador\", \"Fortaleza\",\n",
    "\"Vitória\",\"Goiânia\", \"São Luís\", \"Cuiabá\", \"Campo Grande\", \"Belo Horizonte\",\n",
    "\"Belém\", \"João Pessoa\", \"Curitiba\", \"Recife\", \"Teresina\", \"Rio de Janeiro\", \"Natal\",\n",
    "\"Porto Alegre\", \"Porto Velho\", \"Boa Vista\", \"Florianópolis\", \"São Paulo\", \"Aracaju\",\n",
    "\"Palmas\", \"Brasília\"]\n",
    "\n",
    "# Considerar apenas candidatos que possuem meios de transporte na residência\n",
    "dados_candidatos_com_transporte = df.query(\"Q010 != 'A' | Q011 != 'A'\").copy()\n",
    "\n",
    "# Considerar todos os candidatos que residem em capitais\n",
    "dados_candidatos_capital = dados_candidatos_com_transporte[dados_candidatos_com_transporte['NO_MUNICIPIO_RESIDENCIA'].isin(capitais)].copy()\n",
    "\n",
    "# Preencher a primeira parte do df que será utilizado no gráfico\n",
    "dados_candidatos_abstencao = dados_candidatos_capital .copy()\n",
    "\n",
    "# Atribuir o valor \"Capital\" para os candidatos que residem em capitais.\n",
    "dados_candidatos_abstencao[\"CAPITAL_OU_NAO\"] = 'Capital'\n",
    "\n",
    "# Considerar e atribuir o valor \"Demais Cidades\" para todos os candidatos que não residem em capitais\n",
    "dados_candidatos_nao_capital = dados_candidatos_com_transporte[~dados_candidatos_com_transporte['NO_MUNICIPIO_RESIDENCIA'].isin(capitais)].copy()\n",
    "dados_candidatos_nao_capital[\"CAPITAL_OU_NAO\"] = 'Demais Cidades'\n",
    "\n",
    "# Unir os dois dfs (candidatos de capitais e candidatos de não capitais)\n",
    "dados_candidatos_abstencao = dados_candidatos_abstencao.append(dados_candidatos_nao_capital,ignore_index = True) # Unir os dois dfs (candidatos de capitais e candidatos de não capitais)\n",
    "\n",
    "# Criar um novo DataFrame para computar os dados.\n",
    "taxa_abstencao = pd.DataFrame()\n",
    "\n",
    "# Considerar os candidatos que faltaram em pelo menos uma das provas\n",
    "taxa_abstencao[\"Capital\"] = (dados_candidatos_abstencao.query(\"(TP_PRESENCA_CN == 0 | TP_PRESENCA_CH == 0 | TP_PRESENCA_LC == 0 | TP_PRESENCA_MT == 0) & CAPITAL_OU_NAO == 'Capital'\")[\"SG_UF_RESIDENCIA\"].value_counts() / \\\n",
    "                             dados_candidatos_abstencao.query(\"CAPITAL_OU_NAO == 'Capital'\")[\"SG_UF_RESIDENCIA\"].value_counts()*100)\n",
    "taxa_abstencao[\"Demais Cidades\"] = (dados_candidatos_abstencao.query(\"(TP_PRESENCA_CN == 0 | TP_PRESENCA_CH == 0 | TP_PRESENCA_LC == 0 | TP_PRESENCA_MT == 0) & CAPITAL_OU_NAO == 'Demais Cidades'\")[\"SG_UF_RESIDENCIA\"].value_counts() / \\\n",
    "                             dados_candidatos_abstencao.query(\"CAPITAL_OU_NAO == 'Demais Cidades'\")[\"SG_UF_RESIDENCIA\"].value_counts()*100)\n",
    "\n",
    "# Ordenar pelos estados com menores taxas de abstenção\n",
    "indice_ordenado = taxa_abstencao.mean(axis=1).sort_values(ascending=True).index\n",
    "\n",
    "# Atualizar o DataFrame com o índice ordenado\n",
    "taxa_abstencao = taxa_abstencao.loc[indice_ordenado, :]\n",
    "\n",
    "# Parâmetros do gráfico\n",
    "font_prop = font_manager.FontProperties(size=15)\n",
    "Figura_10 = plt.figure(figsize=(27, 8))\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "ax = Figura_10.add_subplot(111) \n",
    "taxa_abstencao.plot(kind='bar', ax=ax, width=0.7, position=0.5, ylim=(0, 50),grid=True,fontsize=20,alpha=0.4,colormap='BrBG') # Plotar o gráfico da taxa de abstenção na Capital e Demais Cidades\n",
    "ax.set_ylabel('Taxa de Abstenção (%)',fontsize=20)\n",
    "plt.legend(fontsize=20)\n",
    "plt.title(\"Taxa de abstenção de candidatos que possuem moto ou carro em sua residência por estado no Enem 2019\\n\",fontsize=20)\n",
    "\n",
    "# Cálculo da diferença da taxa de abstenção entre residentes na capital e Demais Cidades\n",
    "valores_diferenca = round(taxa_abstencao[\"Capital\"] + (taxa_abstencao[\"Demais Cidades\"]*(-1)),2) # Cálculo da diferença da taxa de abstenção da capital e Demais Cidades\n",
    "valores_label = taxa_abstencao.max(axis=1) + 0.5\n",
    "\n",
    "# Adicionar o valor numérico da diferença entre as taxas de abstenções acima das barras\n",
    "for index, value in enumerate(valores_diferenca):\n",
    "    if np.isnan(value) != True:\n",
    "        if value >= 0:\n",
    "            plt.text(index, valores_label[index],  str(abs(value)),horizontalalignment='center',color=('brown'),fontproperties=font_prop) # Colore de marrom para índice de abstenção superior na capital.\n",
    "        else:\n",
    "            plt.text(index, valores_label[index], str(abs(value)),horizontalalignment='center',color=('green'),fontproperties=font_prop) # Colore de verde para índice de abstenção superior nas Demais Cidades.\n",
    "\n",
    "# Textos complementares no gráfico\n",
    "plt.text(0, 48, \"Valor sobre as colunas: diferença no índice de abstenção entre a capital e demais cidades:\",horizontalalignment='left',color=('black'),fontproperties=font_prop)\n",
    "plt.text(0.5, 46, \"Marrom - índice superior é na capital\",horizontalalignment='left',color=('brown'),fontproperties=font_prop)\n",
    "plt.text(0.5, 44, \"Verde - índice superior é nos demais municípios\",horizontalalignment='left',color=('green'),fontproperties=font_prop)\n",
    "\n",
    "# Rotacionar os rótulos do eixo X\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 0)\n",
    "\n",
    "# Quebrar a legenda em 2 colunas\n",
    "ax.legend(ncol=2,fontsize=17)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DUWCksmXuXt-"
   },
   "source": [
    "Nota-se que, para os candidatos que não possuem moto ou carro em suas residências, não há indicação clara de que os habitantes nas capitais tendem a se abster mais em relação àqueles que moram em outras cidades do estado. No entanto, não podemos deixar de notar que as três maiores diferenças de abstenções intraestaduais ocorreram em TO (Palmas), BA (Salvador) e MG (Belo Horizonte) cujas capitais superaram, respectivamente, em 6,77%, 4,48% e 3,41% as abstenções das demais cidades desses estados.\n",
    "\n",
    "Por outro lado, para os candidatos que possuem moto ou carro em suas residências, as maiores taxas de abstenções por estado ocorreram nas cidades das demais regiões quase em sua totalidade; curiosamente, o Piauí é uma das poucas exceções. \n",
    "\n",
    "Uma hipótese para explicar tais resultados é que para os candidatos que não possuem meios de transporte em suas residências, a dificuldade em acessar os locais da prova, que já é maior por si só, podem ser semelhantes para locomoções intramunicipal ou intraestadual; por isso que, embora estes candidatos apresentem as maiores taxas de abstenções, elas são equilibradas quanto à região predominante nos diferentes estados. Enquanto para os candidatos que possuem meios de transporte em suas residências, a dificuldade, embora menor em comparação ao primeiro grupo, é maior se o local da prova é em outro município. Como informação adicional, apenas pouco mais de 30% dos municípios brasileiros aplicaram o Enem em 2019.\n",
    "\n",
    "\n",
    "A terceira sugestão para futuros estudos é investigar melhor estes números; pode-se dividir cada estado em diversas outras regiões e entender melhor os locais onde as abstenções são maiores. A seguir, pode-se estudar a razão pela qual existem regiões onde a abstenção é maior e, então, propor soluções para diminuí-las.\n",
    "\n",
    "Uma quarta sugestão de trabalho futuro surgiu após a leitura da última notícia presente neste estudo. Os avanços na educação do Piauí, evidenciados pelo avanço no último Ideb, podem ficar ameaçados pelas suspensões das aulas devido à pandemia e consequentes dificuldades do ensino à distância. Segundo a reportagem, a maioria dos alunos da rede pública do Piauí não têm acesso à internet.\n",
    "\n",
    "Sugere-se, então, investigar um conjunto de indicadores que podem apontar os estados cuja educação ficará mais prejudicada devido à suspensão das aulas; um deles é o próprio acesso à internet pelos estudantes. Mas podem existir outros ou, então, pode-se pensar em novos indicadores e trabalhar para obtê-los. A seguir, propor junto aos governos planos de recuperação da educação pública, ajustados especificamente para cada estado, de acordo com os impactos previstos e revelados pelos indicadores previamente obtidos e trabalhados."
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