workshops/br_dou_exemplos_20210320.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Utilizando a base do Diário Oficial da União\n",
    "\n",
    "----\n",
    "\n",
    "Exemplo de utilização de dados do projeto [Base dos Dados](http://basedosdados.org), elaborado por [Henrique Xavier](https://github.com/hsxavier) - Dúvidas e comentários: [hsxavier@gmail.com](mailto:hsxavier@gmail.com)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as pl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exemplo 1 - Número de MPs e decretos ao longo do tempo\n",
    "\n",
    "Vamos contabilizar o número de medidas provisórias e decretos publicados por mês, de abril de 2019 a março de 2021."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Query**\n",
    "\n",
    "É preciso rodar a query abaixo e salvar o resultado num arquivo CSV para ser lido em seguida:\n",
    "\n",
    "    SELECT \n",
    "      EXTRACT(YEAR FROM data_publicacao) AS ano, \n",
    "      EXTRACT(MONTH FROM data_publicacao) AS mes, \n",
    "      COUNTIF(titulo LIKE '%MEDIDA PROVISÓRIA%' AND titulo NOT LIKE '%(*)%') AS n_mpv, \n",
    "      COUNTIF(titulo LIKE '%DECRETO%' AND titulo NOT LIKE '%LEGISLATIVO%' AND titulo NOT LIKE '%(*)%') AS n_decreto, \n",
    "      COUNT(*) AS n_tudo \n",
    "    FROM `basedosdados.br_imprensa_nacional_dou.secao_1` \n",
    "    GROUP BY ano, mes\n",
    "    ORDER BY ano, mes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Carrega os dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Carrega os dados (talvez você precise mudar o caminho para o arquivo):\n",
    "df = pd.read_csv('../dados/dou_sec1_mpv_decreto_counts.csv')\n",
    "\n",
    "# Organiza os dados:\n",
    "df['data'] = pd.to_datetime(df['ano'].astype(str) + '-' + df['mes'].astype(str) + '-01')\n",
    "df = df.set_index('data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "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>ano</th>\n",
       "      <th>mes</th>\n",
       "      <th>n_mpv</th>\n",
       "      <th>n_decreto</th>\n",
       "      <th>n_tudo</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data</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>2019-07-01</th>\n",
       "      <td>2019</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>47</td>\n",
       "      <td>5371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09-01</th>\n",
       "      <td>2019</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>5483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-10-01</th>\n",
       "      <td>2019</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>5576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08-01</th>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>51</td>\n",
       "      <td>5714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-01</th>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>40</td>\n",
       "      <td>7675</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ano  mes  n_mpv  n_decreto  n_tudo\n",
       "data                                           \n",
       "2019-07-01  2019    7      2         47    5371\n",
       "2019-09-01  2019    9      3         35    5483\n",
       "2019-10-01  2019   10      5         51    5576\n",
       "2019-08-01  2019    8      4         51    5714\n",
       "2020-12-01  2020   12     14         40    7675"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Exemplo dos dados obtidos com a query:\n",
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compara o número de MPs com o número de outros tipos de atos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def normalize(series):\n",
    "    \"\"\"\n",
    "    Calcula a variação, em %, de uma série temporal em relação à sua média.\n",
    "    \"\"\"\n",
    "    return (series / series.mean() - 1) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Variação no número de publicações de cada tipo ao longo do tempo:\n",
    "\n",
    "pl.figure(figsize=(15,5))\n",
    "\n",
    "normalize(df['n_mpv']).plot(label='MPs', marker='.')\n",
    "normalize(df['n_decreto']).plot(label='Decretos', marker='.')\n",
    "normalize(df['n_tudo']).plot(label='Tudo', marker='.')\n",
    "\n",
    "pl.ylabel('Variação do número de atos\\n(% da média)', fontsize=16)\n",
    "pl.legend(fontsize=14)\n",
    "pl.tick_params(labelsize=16)\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Número absoluto de MPs ao longo do tempo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(15,5))\n",
    "\n",
    "df['n_mpv'].plot(label='MPs', marker='.')\n",
    "\n",
    "pl.ylabel('# de atos', fontsize=16)\n",
    "pl.legend(fontsize=14)\n",
    "pl.tick_params(labelsize=16)\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exemplo 2 - Cloroquina na seção 3\n",
    "\n",
    "Vamos verificar em qual período surgiram mais matérias na seção 3 (que trata de licitações e contratos do governo federal) com os termos \"cloroquina\" e \"respirador\".\n",
    "\n",
    "Em seguida, vamos identificar quais os tipos de atos que contém esses termos (Avisos de licitação, Contratos, Extratos de dispensa de licitação, pregão eletrônico, tomada de preços, etc)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Contagem de matérias"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Query**\n",
    "\n",
    "É preciso rodar a query abaixo e salvar o resultado num arquivo CSV para ser lido em seguida:\n",
    "\n",
    "    SELECT \n",
    "      EXTRACT(YEAR FROM data_publicacao) AS ano, \n",
    "      EXTRACT(MONTH FROM data_publicacao) AS mes, \n",
    "      COUNTIF(REGEXP_CONTAINS(texto_completo, '(?i)cloroquina')) AS n_cloroquina,\n",
    "      COUNTIF(REGEXP_CONTAINS(texto_completo, '(?i)respirador')) AS n_respirador,\n",
    "      COUNT(*) AS n_tudo\n",
    "    FROM `basedosdados.br_imprensa_nacional_dou.secao_3` \n",
    "    GROUP BY ano, mes\n",
    "    ORDER BY ano, mes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Carrega os dados:\n",
    "df = pd.read_csv('../dados/dou_sec3_cloroquina_counts.csv')\n",
    "\n",
    "# Organiza os dados:\n",
    "df['data'] = pd.to_datetime(df['ano'].astype(str) + '-' + df['mes'].astype(str) + '-01')\n",
    "df = df.set_index('data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Variação ao longo do tempo no número de publicações que contém cada palavra chave:\n",
    "\n",
    "pl.figure(figsize=(15,5))\n",
    "\n",
    "normalize(df['n_cloroquina']).plot(label='Cloroquina', marker='.')\n",
    "normalize(df['n_respirador']).plot(label='Respirador', marker='.')\n",
    "normalize(df['n_tudo']).plot(label='Tudo', marker='.')\n",
    "\n",
    "pl.ylabel('Variação do número de atos\\n(% da média)', fontsize=16)\n",
    "pl.legend(fontsize=14)\n",
    "pl.tick_params(labelsize=16)\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tipo das matérias\n",
    "\n",
    "Vamos agora identificar quais o tipos de matérias que mencionam essas palavras chave."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Query**\n",
    "\n",
    "É preciso rodar a query abaixo e salvar o resultado num arquivo CSV para ser lido em seguida:\n",
    "\n",
    "    SELECT \n",
    "      titulo, \n",
    "      IF(REGEXP_CONTAINS(texto_completo, '(?i)cloroquina'), 1, 0) AS tem_cloroquina,\n",
    "      IF(REGEXP_CONTAINS(texto_completo, '(?i)respirador'), 1, 0) AS tem_respirador,\n",
    "    FROM `basedosdados.br_imprensa_nacional_dou.secao_3`\n",
    "    WHERE data_publicacao_particao >= '2020-04-01' AND data_publicacao_particao <= '2020-09-01'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Prepara os dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>titulo</th>\n",
       "      <th>tem_cloroquina</th>\n",
       "      <th>tem_respirador</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>133735</th>\n",
       "      <td>AVISO DE LICITAÇÃO | PREGÃO ELETRÔNICO Nº 2020...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80062</th>\n",
       "      <td>AVISO DE REABERTURA DE PRAZO | PREGÃO Nº 17/2020</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130377</th>\n",
       "      <td>AVISO DE HOMOLOGAÇÃO E ADJUDICAÇÃO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64614</th>\n",
       "      <td>aviso DE ADJUDICAÇÃO E HOMOLOGAÇÃO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70255</th>\n",
       "      <td>AVISO DE LICITAÇÃO Nº 7003092471</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   titulo  tem_cloroquina  \\\n",
       "133735  AVISO DE LICITAÇÃO | PREGÃO ELETRÔNICO Nº 2020...               0   \n",
       "80062    AVISO DE REABERTURA DE PRAZO | PREGÃO Nº 17/2020               0   \n",
       "130377                 AVISO DE HOMOLOGAÇÃO E ADJUDICAÇÃO               0   \n",
       "64614                  aviso DE ADJUDICAÇÃO E HOMOLOGAÇÃO               0   \n",
       "70255                    AVISO DE LICITAÇÃO Nº 7003092471               0   \n",
       "\n",
       "        tem_respirador  \n",
       "133735               0  \n",
       "80062                0  \n",
       "130377               0  \n",
       "64614                0  \n",
       "70255                0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Carrega os dados:\n",
    "\n",
    "df = pd.read_csv('../dados/materias_sec3_com_sem_cloroquina.csv')\n",
    "df.fillna('', inplace=True)\n",
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>titulo</th>\n",
       "      <th>tem_cloroquina</th>\n",
       "      <th>tem_respirador</th>\n",
       "      <th>titulos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>163429</th>\n",
       "      <td>EXTRATOs DE CONTRATOs</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>EXTRATOs DE CONTRATOs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90749</th>\n",
       "      <td>AVISO DE LICITAÇÃO | Pregão Eletrônico Nº 34/2...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Pregão Eletrônico Nº 34/2020 - UASG 179007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139911</th>\n",
       "      <td>Extrato dE Contrato</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Extrato dE Contrato</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28987</th>\n",
       "      <td>AVISO DE ALTERAÇÃO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AVISO DE ALTERAÇÃO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54365</th>\n",
       "      <td>AVISO DE REVOGAÇÃO | RDC ELETRÔNICO Nº 220/201...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AVISO DE REVOGAÇÃO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   titulo  tem_cloroquina  \\\n",
       "163429                              EXTRATOs DE CONTRATOs               0   \n",
       "90749   AVISO DE LICITAÇÃO | Pregão Eletrônico Nº 34/2...               0   \n",
       "139911                                Extrato dE Contrato               0   \n",
       "28987                                  AVISO DE ALTERAÇÃO               0   \n",
       "54365   AVISO DE REVOGAÇÃO | RDC ELETRÔNICO Nº 220/201...               0   \n",
       "\n",
       "        tem_respirador                                     titulos  \n",
       "163429               0                       EXTRATOs DE CONTRATOs  \n",
       "90749                0  Pregão Eletrônico Nº 34/2020 - UASG 179007  \n",
       "139911               0                         Extrato dE Contrato  \n",
       "28987                0                          AVISO DE ALTERAÇÃO  \n",
       "54365                0                          AVISO DE REVOGAÇÃO  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Quebra títulos múltiplos em várias linhas:\n",
    "\n",
    "df['titulos'] = df['titulo'].str.split(' \\| ')\n",
    "df = df.explode('titulos', ignore_index=True)\n",
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th {\n",
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       "  <thead>\n",
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       "      <th>titulo</th>\n",
       "      <th>tem_cloroquina</th>\n",
       "      <th>tem_respirador</th>\n",
       "      <th>titulos</th>\n",
       "      <th>tokens</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>151882</th>\n",
       "      <td>AVISOS DE LICITAÇÃO | TOMADA DE PREÇO Nº 5/202...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>TOMADA DE PREÇO Nº 7/2020 - CPL</td>\n",
       "      <td>TOMADA PREÇO         CPL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160666</th>\n",
       "      <td>AVISO DE ALTERAÇÃO | PREGÃO Nº 157/2019</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AVISO DE ALTERAÇÃO</td>\n",
       "      <td>AVISO ALTERAÇÃO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141714</th>\n",
       "      <td>extrato DE DISPENSA DE LICITAÇÃO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>extrato DE DISPENSA DE LICITAÇÃO</td>\n",
       "      <td>extrato DISPENSA LICITAÇÃO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164471</th>\n",
       "      <td>AVISO DE LICITAÇÃO | PREGÃO PRESENCIAL SRP Nº ...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AVISO DE LICITAÇÃO</td>\n",
       "      <td>AVISO LICITAÇÃO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80629</th>\n",
       "      <td>EXTRATO DE NOTA DE EMPENHO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>EXTRATO DE NOTA DE EMPENHO</td>\n",
       "      <td>EXTRATO NOTA EMPENHO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   titulo  tem_cloroquina  \\\n",
       "151882  AVISOS DE LICITAÇÃO | TOMADA DE PREÇO Nº 5/202...               0   \n",
       "160666            AVISO DE ALTERAÇÃO | PREGÃO Nº 157/2019               0   \n",
       "141714                   extrato DE DISPENSA DE LICITAÇÃO               0   \n",
       "164471  AVISO DE LICITAÇÃO | PREGÃO PRESENCIAL SRP Nº ...               0   \n",
       "80629                          EXTRATO DE NOTA DE EMPENHO               0   \n",
       "\n",
       "        tem_respirador                           titulos  \\\n",
       "151882               0   TOMADA DE PREÇO Nº 7/2020 - CPL   \n",
       "160666               0                AVISO DE ALTERAÇÃO   \n",
       "141714               0  extrato DE DISPENSA DE LICITAÇÃO   \n",
       "164471               0                AVISO DE LICITAÇÃO   \n",
       "80629                0        EXTRATO DE NOTA DE EMPENHO   \n",
       "\n",
       "                            tokens  \n",
       "151882    TOMADA PREÇO         CPL  \n",
       "160666             AVISO ALTERAÇÃO  \n",
       "141714  extrato DISPENSA LICITAÇÃO  \n",
       "164471             AVISO LICITAÇÃO  \n",
       "80629         EXTRATO NOTA EMPENHO  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Removendo termos inúteis do título:\n",
    "\n",
    "regex_limpeza = '\\(\\*\\)| d?e |[\\dN]{1,2} ?[ºº°]|\\d+|[\\-/.]|janeiro|fevereiro|março|abril|maio|junho|julho|agosto|setembro|outubro|novembro|dezembro|uasg'\n",
    "df['tokens'] = df['titulos'].str.replace(regex_limpeza, ' ', case=False)\n",
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Conta a ocorrência de termos no título da matéria"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>aaviso</th>\n",
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       "      <th>...</th>\n",
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       "      <th>áreas</th>\n",
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       "</table>\n",
       "<p>5 rows × 3580 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        aaviso  abaixo  abc  aberta  aberto  abertos  abertura  abin  abp  \\\n",
       "46059        0       0    0       0       0        0         0     0    0   \n",
       "85268        0       0    0       0       0        0         0     0    0   \n",
       "31080        0       0    0       0       0        0         0     0    0   \n",
       "202571       0       0    0       0       0        0         0     0    0   \n",
       "110455       0       0    0       0       0        0         0     0    0   \n",
       "\n",
       "        abr  ...  às  àviso  área  áreas  âmbito  ético  íntegra  óleo  única  \\\n",
       "46059     0  ...   0      0     0      0       0      0        0     0      0   \n",
       "85268     0  ...   0      0     0      0       0      0        0     0      0   \n",
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       "110455    0  ...   0      0     0      0       0      0        0     0      0   \n",
       "\n",
       "        úteis  \n",
       "46059       0  \n",
       "85268       0  \n",
       "31080       0  \n",
       "202571      0  \n",
       "110455      0  \n",
       "\n",
       "[5 rows x 3580 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Contando a frequência de palavras no título:\n",
    "\n",
    "word_counter = CountVectorizer(binary=True)\n",
    "contagem = word_counter.fit_transform(df['tokens']).toarray()\n",
    "columns = word_counter.get_feature_names()\n",
    "count_df = pd.DataFrame(data=contagem, columns=columns)\n",
    "count_df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calcula a porcentagem de matérias que mencionam cada termo em seu título e as ordena por essa frequência:\n",
    "all_counts = count_df.mean().sort_values(ascending=False) * 100\n",
    "\n",
    "# Faz o mesmo, mas apenas para matérias contendo cloroquina:\n",
    "cloro_counts = count_df.loc[df['tem_cloroquina'] == 1].mean()[all_counts.index] * 100\n",
    "\n",
    "# Faz o mesmo, mas apenas para matérias contendo respirador:\n",
    "resp_counts = count_df.loc[df['tem_respirador'] == 1].mean()[all_counts.index] * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Faz um gráfico com a frequência dos termos mais comuns:\n",
    "\n",
    "pl.figure(figsize=(20,5))\n",
    "\n",
    "all_counts.head(20).plot(kind='bar', color='gray', alpha=0.3, label='Todos', width=0.9)\n",
    "resp_counts.head(20).plot(kind='bar', color='g', alpha=0.3, label='Respirador', width=0.6)\n",
    "cloro_counts.head(20).plot(kind='bar', color='purple', alpha=0.3, label='Cloroquina', width= 0.3)\n",
    "\n",
    "pl.ylabel('% das matérias contendo o termo', fontsize=16)\n",
    "pl.legend(fontsize=14)\n",
    "pl.tick_params(labelsize=14)\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52936                                              DESPACHO\n",
       "49605                      PREGÃO ELETRÔNICO SRP Nº 12/2020\n",
       "204033                                 EXTRATOS DE CONTRATO\n",
       "192216                                  Extrato de Contrato\n",
       "49842             AVISO DE DISPENSA DE LICITAÇÃO Nº 28/2020\n",
       "118196              RESULTADO De julgamento CHAMADA PÚBLICA\n",
       "146303                                  EXTRATO DE CONTRATO\n",
       "14393                                 EXTRATOS DE CONTRATOS\n",
       "143401    Aviso De LicitaçãoPregão Eletrônico N° 57/CPL/...\n",
       "189365                                    PREGÃO Nº 65/2020\n",
       "168698           Pregão Eletrônico Nº 21/2020 - UASG 254446\n",
       "86938                                 EXTRATOS DE CONTRATOS\n",
       "86284      AVISO DE DISPENSA DE LICITAÇÃO Nº 141-2020 - SMS\n",
       "118104                                EXTRATOS DE CONTRATOS\n",
       "117558                      AVISOS DE dispensa de licitação\n",
       "88601                                   EXTRATO DE CONTRATO\n",
       "132837                      AVISOS DE DISPENSA DE LICITAÇÃO\n",
       "67871                                 EXTRATOs DE CONTRATOs\n",
       "6672                                    EXTRATO DE CONTRATO\n",
       "42040                                 EXTRATOs DE CONTRATOS\n",
       "Name: titulos, dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Exemplos de matéria com cloroquina:\n",
    "df.loc[df['tem_cloroquina'] == 1, 'titulos'].sample(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}