Mod06 Tarefa 3.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://raw.githubusercontent.com/rhatiro/Curso_EBAC-Profissao_Cientista_de_Dados/main/ebac-course-utils/media/logo/newebac_logo_black_half.png\" alt=\"ebac-logo\">\n",
    "\n",
    "---\n",
    "\n",
    "# **Profissão: Cientista de Dados**\n",
    "### **Módulo 6** | Exercício 3\n",
    "\n",
    "Aluno [Lays Félix](https://www.linkedin.com/in/laysfelixbusiness)<br>\n",
    "Data: 29 de dezembro de 2023\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1) A base 'sinasc_RO_2019.csv' contém dados do sistema de nascidos vivos do DataSUS, cujo dicionário de dados está no arquivo 'Estrutura_SINASC_para_CD.pdf'. Carregue esse arquivo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "      <th>ORIGEM</th>\n",
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       "      <td>513205.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>Rondônia</td>\n",
       "      <td>-11.93554</td>\n",
       "      <td>-61.99982</td>\n",
       "      <td>338.0</td>\n",
       "      <td>7067.025</td>\n",
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       "      <td>5.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>-12.13178</td>\n",
       "      <td>-61.85308</td>\n",
       "      <td>397.0</td>\n",
       "      <td>3958.273</td>\n",
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       "      <td>2516500.0</td>\n",
       "      <td>110001</td>\n",
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       "      <td>595.0</td>\n",
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       "      <td>5.0</td>\n",
       "      <td>8 a 11 anos</td>\n",
       "      <td>999992.0</td>\n",
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       "      <td>2780269</td>\n",
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       "      <td>-61.99439</td>\n",
       "      <td>230.0</td>\n",
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       "       ORIGEM   CODESTAB  CODMUNNASC  LOCNASC  IDADEMAE  ESTCIVMAE  \\\n",
       "0           1  2679477.0      110001        1        19        5.0   \n",
       "1           1  2679477.0      110001        1        29        2.0   \n",
       "2           1  2679477.0      110001        1        37        9.0   \n",
       "3           1  2516500.0      110001        1        30        5.0   \n",
       "4           1  2516500.0      110001        1        30        2.0   \n",
       "...       ...        ...         ...      ...       ...        ...   \n",
       "27023       1  2604388.0      510340        1        32        2.0   \n",
       "27024       1  2752654.0      510675        1        19        1.0   \n",
       "27025       1  9659366.0      510787        1        24        2.0   \n",
       "27026       1  9659366.0      510787        1        21        2.0   \n",
       "27027       1  2795655.0      510792        1        18        5.0   \n",
       "\n",
       "                ESCMAE  CODOCUPMAE  QTDFILVIVO  QTDFILMORT  ...  KOTELCHUCK  \\\n",
       "0          8 a 11 anos         NaN         0.0         0.0  ...           5   \n",
       "1          8 a 11 anos    999992.0         1.0         0.0  ...           5   \n",
       "2          8 a 11 anos    513205.0         2.0         0.0  ...           5   \n",
       "3      12 anos ou mais    231205.0         0.0         0.0  ...           4   \n",
       "4          8 a 11 anos    999992.0         1.0         0.0  ...           5   \n",
       "...                ...         ...         ...         ...  ...         ...   \n",
       "27023  12 anos ou mais    333115.0         1.0         0.0  ...           5   \n",
       "27024      8 a 11 anos    999992.0         0.0         0.0  ...           5   \n",
       "27025      8 a 11 anos    421125.0         0.0         1.0  ...           5   \n",
       "27026      8 a 11 anos    999992.0         1.0         0.0  ...           5   \n",
       "27027      8 a 11 anos    999992.0         1.0         0.0  ...           5   \n",
       "\n",
       "      CONTADOR munResStatus munResTipo               munResNome  munResUf  \\\n",
       "0            1        ATIVO      MUNIC    Alta Floresta D'Oeste  Rondônia   \n",
       "1            2        ATIVO      MUNIC    Alta Floresta D'Oeste  Rondônia   \n",
       "2            3        ATIVO      MUNIC    Alta Floresta D'Oeste  Rondônia   \n",
       "3            4        ATIVO      MUNIC  Alto Alegre dos Parecis  Rondônia   \n",
       "4            5        ATIVO      MUNIC    Alta Floresta D'Oeste  Rondônia   \n",
       "...        ...          ...        ...                      ...       ...   \n",
       "27023  2767632        ATIVO      MUNIC                  Vilhena  Rondônia   \n",
       "27024  2772678        ATIVO      MUNIC              Chupinguaia  Rondônia   \n",
       "27025  2776905        ATIVO      MUNIC                  Vilhena  Rondônia   \n",
       "27026  2777105        ATIVO      MUNIC                  Vilhena  Rondônia   \n",
       "27027  2780269        ATIVO      MUNIC  Novo Horizonte do Oeste  Rondônia   \n",
       "\n",
       "       munResLat munResLon  munResAlt  munResArea  \n",
       "0      -11.93554 -61.99982      338.0    7067.025  \n",
       "1      -11.93554 -61.99982      338.0    7067.025  \n",
       "2      -11.93554 -61.99982      338.0    7067.025  \n",
       "3      -12.13178 -61.85308      397.0    3958.273  \n",
       "4      -11.93554 -61.99982      338.0    7067.025  \n",
       "...          ...       ...        ...         ...  \n",
       "27023  -12.74137 -60.13858      595.0   11518.915  \n",
       "27024  -12.55684 -60.90185      340.0    5126.723  \n",
       "27025  -12.74137 -60.13858      595.0   11518.915  \n",
       "27026  -12.74137 -60.13858      595.0   11518.915  \n",
       "27027  -11.70974 -61.99439      230.0     843.446  \n",
       "\n",
       "[27028 rows x 69 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#df_sinasc = pd.read_csv('https://xxx/RO_2019.csv')\n",
    "#print(df_sinasc.info())\n",
    "#df_sinasc\n",
    "\n",
    "nascidos_RO2019 = pd.read_csv('RO_2019.csv')\n",
    "nascidos_RO2019"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2) Categorize a variável APGAR5 conforme as seguintes quebras:\n",
    "\n",
    "- 0 a 3: 'asfixia grave'\n",
    "- 4 a 5: 'asfixia moderada'\n",
    "- 6 a 7: 'asfixia leve'\n",
    "- 8 a 10: 'normal'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Criando as categorias\n",
    "\n",
    "nascidos_RO2019.loc[(nascidos_RO2019['APGAR5'] >= 0) & (nascidos_RO2019['APGAR5'] <= 3),\n",
    "           'APGAR_CAT'] = 'ASFIXIA GRAVE'\n",
    "nascidos_RO2019.loc[(nascidos_RO2019['APGAR5'] >= 4) & (nascidos_RO2019['APGAR5'] <= 5),\n",
    "           'APGAR_CAT'] = 'ASFIXIA MODERADA'\n",
    "nascidos_RO2019.loc[(nascidos_RO2019['APGAR5'] >= 6) & (nascidos_RO2019['APGAR5'] <= 7),\n",
    "           'APGAR_CAT'] = 'ASFIXIA LEVE'\n",
    "nascidos_RO2019.loc[(nascidos_RO2019['APGAR5'] >= 8) & (nascidos_RO2019['APGAR5'] <= 10),\n",
    "           'APGAR_CAT'] = 'NORMAL'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "      <th>27024</th>\n",
       "      <td>9.0</td>\n",
       "      <td>NORMAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27025</th>\n",
       "      <td>10.0</td>\n",
       "      <td>NORMAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27026</th>\n",
       "      <td>9.0</td>\n",
       "      <td>NORMAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27027</th>\n",
       "      <td>8.0</td>\n",
       "      <td>NORMAL</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27028 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       APGAR5 APGAR_CAT\n",
       "0        10.0    NORMAL\n",
       "1         9.0    NORMAL\n",
       "2        10.0    NORMAL\n",
       "3        10.0    NORMAL\n",
       "4        10.0    NORMAL\n",
       "...       ...       ...\n",
       "27023     9.0    NORMAL\n",
       "27024     9.0    NORMAL\n",
       "27025    10.0    NORMAL\n",
       "27026     9.0    NORMAL\n",
       "27027     8.0    NORMAL\n",
       "\n",
       "[27028 rows x 2 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nascidos_RO2019[['APGAR5', 'APGAR_CAT']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='APGAR_CAT', ylabel='count'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando o gráfico de barras exibindo as categorias - distribuição do minuto por categoria\n",
    "\n",
    "sns.countplot(x='APGAR_CAT', orient = 'v'\n",
    "              , hue = 'APGAR5'\n",
    "              , data=nascidos_RO2019[nascidos_RO2019.APGAR5 < 10]\n",
    "             )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='APGAR5', ylabel='count'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando o gráfico do tipo barras exibindo as categorias - distribuição de categoria por minuto\n",
    "\n",
    "sns.countplot(x='APGAR5', orient = 'V'\n",
    "              , hue = 'APGAR_CAT'\n",
    "              , data=nascidos_RO2019[nascidos_RO2019.APGAR5 < 10]\n",
    "             )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3) Monte um gráfico comparando a distribuição de APGAR5 por sexo para cada grupo de tempo de gestação (GESTACAO)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, '37 a 41 semanas'),\n",
       " Text(1, 0, '42 semanas e mais'),\n",
       " Text(2, 0, '32 a 36 semanas'),\n",
       " Text(3, 0, '22 a 27 semanas'),\n",
       " Text(4, 0, '28 a 31 semanas'),\n",
       " Text(5, 0, 'Menos de 22 semanas')]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# usando o seaborn - CERTO MAS ARRUMAR A SEMANAS\n",
    "ax = sns.boxplot(data = nascidos_RO2019, y=\"APGAR5\", x=\"GESTACAO\", orient=\"v\", hue='SEXO', width=0.9)\n",
    "ax.set_xticklabels(labels=['37 a 41 semanas', '42 semanas e mais', '32 a 36 semanas', '22 a 27 semanas', '28 a 31 semanas', 'Menos de 22 semanas'], rotation=30)\n",
    "#ax.set_xticklabels(labels=[1, 2, 3, 4, 5, '42 semanas e mais'], rotation=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  4) Monte uma tabela cruzada com APGAR5 nas colunas e GESTACAO nas linhas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>APGAR5</th>\n",
       "      <th>0.0</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>3.0</th>\n",
       "      <th>4.0</th>\n",
       "      <th>5.0</th>\n",
       "      <th>6.0</th>\n",
       "      <th>7.0</th>\n",
       "      <th>8.0</th>\n",
       "      <th>9.0</th>\n",
       "      <th>10.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GESTACAO</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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22 a 27 semanas</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28 a 31 semanas</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>61</td>\n",
       "      <td>55</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32 a 36 semanas</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>56</td>\n",
       "      <td>362</td>\n",
       "      <td>1307</td>\n",
       "      <td>465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37 a 41 semanas</th>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>45</td>\n",
       "      <td>151</td>\n",
       "      <td>1417</td>\n",
       "      <td>13565</td>\n",
       "      <td>7284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42 semanas e mais</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>44</td>\n",
       "      <td>423</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Menos de 22 semanas</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "APGAR5               0.0   1.0   2.0   3.0   4.0   5.0   6.0   7.0   8.0   \\\n",
       "GESTACAO                                                                    \n",
       "22 a 27 semanas         7     0     8     6     1     0     2    10    24   \n",
       "28 a 31 semanas         0     0     2     1     5     7     7    11    61   \n",
       "32 a 36 semanas         2     2     2     2     8    11    17    56   362   \n",
       "37 a 41 semanas         5    20     3     5     7    21    45   151  1417   \n",
       "42 semanas e mais       1     0     0     0     0     1     1     5    44   \n",
       "Menos de 22 semanas     1     0     1     0     0     0     0     1     0   \n",
       "\n",
       "APGAR5                9.0   10.0  \n",
       "GESTACAO                          \n",
       "22 a 27 semanas         19     8  \n",
       "28 a 31 semanas         55    13  \n",
       "32 a 36 semanas       1307   465  \n",
       "37 a 41 semanas      13565  7284  \n",
       "42 semanas e mais      423   223  \n",
       "Menos de 22 semanas      3     1  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nascidos = pd.crosstab(nascidos_RO2019['GESTACAO'], nascidos_RO2019['APGAR5'])\n",
    "nascidos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  5) Da tabela cruzada do intem anterior, calcule os percentuais de linha. Ou seja, a distribuição da variável APGAR5 para cada classe de GESTACAO dado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "APGAR5\n",
       "0.0        16\n",
       "1.0        22\n",
       "2.0        16\n",
       "3.0        14\n",
       "4.0        21\n",
       "5.0        40\n",
       "6.0        72\n",
       "7.0       234\n",
       "8.0      1908\n",
       "9.0     15372\n",
       "10.0     7994\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nascidos.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GESTACAO\n",
       "22 a 27 semanas           85\n",
       "28 a 31 semanas          162\n",
       "32 a 36 semanas         2234\n",
       "37 a 41 semanas        22523\n",
       "42 semanas e mais        698\n",
       "Menos de 22 semanas        7\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nascidos.sum(axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>APGAR5</th>\n",
       "      <th>0.0</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>3.0</th>\n",
       "      <th>4.0</th>\n",
       "      <th>5.0</th>\n",
       "      <th>6.0</th>\n",
       "      <th>7.0</th>\n",
       "      <th>8.0</th>\n",
       "      <th>9.0</th>\n",
       "      <th>10.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GESTACAO</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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22 a 27 semanas</th>\n",
       "      <td>0.082353</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.094118</td>\n",
       "      <td>0.070588</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.282353</td>\n",
       "      <td>0.223529</td>\n",
       "      <td>0.094118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28 a 31 semanas</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012346</td>\n",
       "      <td>0.006173</td>\n",
       "      <td>0.030864</td>\n",
       "      <td>0.043210</td>\n",
       "      <td>0.043210</td>\n",
       "      <td>0.067901</td>\n",
       "      <td>0.376543</td>\n",
       "      <td>0.339506</td>\n",
       "      <td>0.080247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32 a 36 semanas</th>\n",
       "      <td>0.000895</td>\n",
       "      <td>0.000895</td>\n",
       "      <td>0.000895</td>\n",
       "      <td>0.000895</td>\n",
       "      <td>0.003581</td>\n",
       "      <td>0.004924</td>\n",
       "      <td>0.007610</td>\n",
       "      <td>0.025067</td>\n",
       "      <td>0.162041</td>\n",
       "      <td>0.585049</td>\n",
       "      <td>0.208147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37 a 41 semanas</th>\n",
       "      <td>0.000222</td>\n",
       "      <td>0.000888</td>\n",
       "      <td>0.000133</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>0.000311</td>\n",
       "      <td>0.000932</td>\n",
       "      <td>0.001998</td>\n",
       "      <td>0.006704</td>\n",
       "      <td>0.062913</td>\n",
       "      <td>0.602273</td>\n",
       "      <td>0.323403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42 semanas e mais</th>\n",
       "      <td>0.001433</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001433</td>\n",
       "      <td>0.001433</td>\n",
       "      <td>0.007163</td>\n",
       "      <td>0.063037</td>\n",
       "      <td>0.606017</td>\n",
       "      <td>0.319484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Menos de 22 semanas</th>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.142857</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "APGAR5                   0.0       1.0       2.0       3.0       4.0   \\\n",
       "GESTACAO                                                                \n",
       "22 a 27 semanas      0.082353  0.000000  0.094118  0.070588  0.011765   \n",
       "28 a 31 semanas      0.000000  0.000000  0.012346  0.006173  0.030864   \n",
       "32 a 36 semanas      0.000895  0.000895  0.000895  0.000895  0.003581   \n",
       "37 a 41 semanas      0.000222  0.000888  0.000133  0.000222  0.000311   \n",
       "42 semanas e mais    0.001433  0.000000  0.000000  0.000000  0.000000   \n",
       "Menos de 22 semanas  0.142857  0.000000  0.142857  0.000000  0.000000   \n",
       "\n",
       "APGAR5                   5.0       6.0       7.0       8.0       9.0   \\\n",
       "GESTACAO                                                                \n",
       "22 a 27 semanas      0.000000  0.023529  0.117647  0.282353  0.223529   \n",
       "28 a 31 semanas      0.043210  0.043210  0.067901  0.376543  0.339506   \n",
       "32 a 36 semanas      0.004924  0.007610  0.025067  0.162041  0.585049   \n",
       "37 a 41 semanas      0.000932  0.001998  0.006704  0.062913  0.602273   \n",
       "42 semanas e mais    0.001433  0.001433  0.007163  0.063037  0.606017   \n",
       "Menos de 22 semanas  0.000000  0.000000  0.142857  0.000000  0.428571   \n",
       "\n",
       "APGAR5                   10.0  \n",
       "GESTACAO                       \n",
       "22 a 27 semanas      0.094118  \n",
       "28 a 31 semanas      0.080247  \n",
       "32 a 36 semanas      0.208147  \n",
       "37 a 41 semanas      0.323403  \n",
       "42 semanas e mais    0.319484  \n",
       "Menos de 22 semanas  0.142857  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# distribuição da variável APGAR5 para cada classe de GESTACAO\n",
    "\n",
    "pct_gestacao = nascidos.div(nascidos.sum(axis = 1), axis = 0)\n",
    "pct_gestacao"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  6) Os médicos costumam classificar parto prematuro quando a gestação tem menos que 37 semanas. Faça um gráfico de barras da tabela cruzada acima e conclua se você acha que este conjunto de dados corrobora ou não com a afirmação dos médicos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "APGAR5               0.0   1.0   2.0   3.0   4.0   5.0   6.0   7.0   8.0   \\\n",
      "GESTACAO                                                                    \n",
      "22 a 27 semanas         7     0     8     6     1     0     2    10    24   \n",
      "28 a 31 semanas         0     0     2     1     5     7     7    11    61   \n",
      "32 a 36 semanas         2     2     2     2     8    11    17    56   362   \n",
      "37 a 41 semanas         5    20     3     5     7    21    45   151  1417   \n",
      "42 semanas e mais       1     0     0     0     0     1     1     5    44   \n",
      "Menos de 22 semanas     1     0     1     0     0     0     0     1     0   \n",
      "\n",
      "APGAR5                9.0   10.0  \n",
      "GESTACAO                          \n",
      "22 a 27 semanas         19     8  \n",
      "28 a 31 semanas         55    13  \n",
      "32 a 36 semanas       1307   465  \n",
      "37 a 41 semanas      13565  7284  \n",
      "42 semanas e mais      423   223  \n",
      "Menos de 22 semanas      3     1  \n",
      "GESTACAO\n",
      "22 a 27 semanas           85\n",
      "28 a 31 semanas          162\n",
      "32 a 36 semanas         2234\n",
      "37 a 41 semanas        22523\n",
      "42 semanas e mais        698\n",
      "Menos de 22 semanas        7\n",
      "dtype: int64\n",
      "APGAR5                   0.0       1.0       2.0       3.0       4.0   \\\n",
      "GESTACAO                                                                \n",
      "22 a 27 semanas      0.082353  0.000000  0.094118  0.070588  0.011765   \n",
      "28 a 31 semanas      0.000000  0.000000  0.012346  0.006173  0.030864   \n",
      "32 a 36 semanas      0.000895  0.000895  0.000895  0.000895  0.003581   \n",
      "37 a 41 semanas      0.000222  0.000888  0.000133  0.000222  0.000311   \n",
      "42 semanas e mais    0.001433  0.000000  0.000000  0.000000  0.000000   \n",
      "Menos de 22 semanas  0.142857  0.000000  0.142857  0.000000  0.000000   \n",
      "\n",
      "APGAR5                   5.0       6.0       7.0       8.0       9.0   \\\n",
      "GESTACAO                                                                \n",
      "22 a 27 semanas      0.000000  0.023529  0.117647  0.282353  0.223529   \n",
      "28 a 31 semanas      0.043210  0.043210  0.067901  0.376543  0.339506   \n",
      "32 a 36 semanas      0.004924  0.007610  0.025067  0.162041  0.585049   \n",
      "37 a 41 semanas      0.000932  0.001998  0.006704  0.062913  0.602273   \n",
      "42 semanas e mais    0.001433  0.001433  0.007163  0.063037  0.606017   \n",
      "Menos de 22 semanas  0.000000  0.000000  0.142857  0.000000  0.428571   \n",
      "\n",
      "APGAR5                   10.0  \n",
      "GESTACAO                       \n",
      "22 a 27 semanas      0.094118  \n",
      "28 a 31 semanas      0.080247  \n",
      "32 a 36 semanas      0.208147  \n",
      "37 a 41 semanas      0.323403  \n",
      "42 semanas e mais    0.319484  \n",
      "Menos de 22 semanas  0.142857  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='GESTACAO'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gráfico de barra da tabela cruzada\n",
    "\n",
    "nascidos = pd.crosstab(nascidos_RO2019['GESTACAO'], nascidos_RO2019['APGAR5'])\n",
    "print(nascidos)\n",
    "print(nascidos.sum(1))\n",
    "\n",
    "pct_gestacao = nascidos.div(nascidos.sum(axis = 1), axis = 0)\n",
    "print(pct_gestacao)\n",
    "\n",
    "pct_gestacao.plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Resposta da questão 6: Não confirma a afirmação dos médicos, pois o gráfico acima demonstra que os nascimentos prematuros tem a pontuação menor (axfixia moderada a grave) no APGAR5 que são os primeiros 5 minutos de vida, comparando com os nacimentos após a 37º semana de gestação que tem a pontuação maior (axfixia leve a normal)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7) Veja se há relação entre APGAR5 e o peso do bebê. Isso pode ser feito de diversas formas. Fique à vontade para escolher a melhor maneira na sua opinião, ou até testar mais de um dos gráficos que vimos. Fique à vontade também para consultar a documentação e utilizar algum outro recurso se achar conveniente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='PESO', ylabel='APGAR5'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x = 'PESO'\n",
    "                , y = 'APGAR5'\n",
    "                , data = nascidos_RO2019\n",
    "                , alpha = .3\n",
    "                , size = 'PESO'            \n",
    "               )"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Resposta da questão 7: O gráfico acima ratifica que os bebês com a pontuação maior no índice APGAR5 tem maior peso corporal."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}