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@@ -0,0 +1,2755 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# > Introdução\n",
+    "## Descrição dos Dados\n",
+    "\n",
+    "Essa semana o projeto da Semana apresentará uma função de processamento e tratamento de dados de um arquivo csv chamado Titanic.\n",
+    "Nesse arquivo contém uma tabela com informações sobre dados do naufrágio do Titanic e também dados sobre os passageiros e classes que tinham no navio.\n",
+    "A tabela contém 891 linhas e \n",
+    "A tabela contém as seguintes colunas: PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked.\n",
+    "Originalmente as colunas tem valores nulos, no qual será tratado esses valores para aqui nesse arquivo ser apresentado em gráficos o melhor entendimento da relação entre os dados dessa tabela."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# > Processamento\n",
+    "## Import da Biblioteca Pandas e Numpy, Leitura, Função de Processamento e \n",
+    "## Tratamento dos dados"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Braund, Mr. Owen Harris</td>\n",
+       "      <td>male</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
+       "      <td>female</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Heikkinen, Miss. Laina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Allen, Mr. William Henry</td>\n",
+       "      <td>male</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   PassengerId  Survived  Pclass  \\\n",
+       "0            1         0       3   \n",
+       "1            2         1       1   \n",
+       "2            3         1       3   \n",
+       "3            4         1       1   \n",
+       "4            5         0       3   \n",
+       "\n",
+       "                                                Name     Sex   Age  SibSp  \\\n",
+       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
+       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
+       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
+       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
+       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
+       "\n",
+       "   Parch            Ticket     Fare Cabin Embarked  \n",
+       "0      0         A/5 21171   7.2500   NaN        S  \n",
+       "1      0          PC 17599  71.2833   C85        C  \n",
+       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
+       "3      0            113803  53.1000  C123        S  \n",
+       "4      0            373450   8.0500   NaN        S  "
+      ]
+     },
+     "execution_count": 135,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(\"titanic.csv\")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Tratamento de dados\n",
+    "\n",
+    "- Contagem de dados nulos\n",
+    "- Excluir a coluna que tem a maior quantidade de campos nulos\n",
+    "- Sort da idade das pessoas de forma crescente\n",
+    "- Filtro Baseado em uma única condição para exibir resgistros de pessoas acima de 60 anos\n",
+    "- Filtro com Múltiplas Condições exibindo registros Mulheres Maiores de 60 anos\n",
+    "- Filtro de Busca com a função isin para encontrar registros de pessoas que estraram pelo portão de embarque \"C\".\n",
+    "- Utilizando a função query para indentificar  registros de pessoas com Idade = 18 anos.\n",
+    "- Realizar agrupamento de Passageiros por Idade < 18 anos.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def processamento (df): \n",
+    "\n",
+    "# Contagem de dados nulos \n",
+    "  df_contagem_null= (df.isna().sum())\n",
+    "  \n",
+    "# Excluindo a coluna Cabin que tem a maior quantidade de campos nulos\n",
+    "\n",
+    "  df_excluir_coluna = df.drop(columns=\"Cabin\")\n",
+    " \n",
+    "# Sort da Idade das pessoas de forma crescente\n",
+    "  df_sort_cresc = df.sort_values(by=['Age']).reset_index()\n",
+    "\n",
+    "# Filtro Baseado em uma única condição para exibir resgistro de pessoas acima de 60 anos\n",
+    "  df_filtrado_oneC = df[df['Age'] >= 60]\n",
+    "  df_filtrado_oneC.head()\n",
+    "  \n",
+    "# Filtro com Múltiplas Condições exibindo regristos de Mulheres maiores que 60 anos\n",
+    "\n",
+    "  df_filtrado_MultC = df[(df['Age'] > 60) & (df['Sex'] == 'female')]\n",
+    "  df_filtrado_MultC.head()\n",
+    "\n",
+    "# Filtro de busca com a função isin para encontrar registros de pessoas que entraram pelo portão de embarque C\n",
+    "\n",
+    "  df_filtro = df[df['Embarked'].isin(['C'])]\n",
+    "  df_filtro.head()\n",
+    "\n",
+    "# Uma função de seleção (query) para identificar registros de pessoas com idade == 18 anos\n",
+    "  df_consulta = df.query(\"Age == 18\")\n",
+    "  df_consulta.head()\n",
+    "  \n",
+    "# Realizar um agrupamento de Passageiros por Idade < 18 anos.\n",
+    "  df_agrupamento = df.loc[(df['Age'] <18)]\n",
+    "  df_agrupamento.groupby('Sex')['PassengerId']\n",
+    "  \n",
+    "  return (df_contagem_null,  df_excluir_coluna, df_sort_cresc, df_filtrado_oneC, df_filtrado_MultC, df_filtro, df_consulta,df_agrupamento)\n",
+    "\n",
+    "\n",
+    "\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_contagem_null,  df_excluir_coluna, df_sort_cresc, df_filtrafo_oneC, df_filtrado_MultC,df_filtro, df_consulta, df_agrupamento = processamento(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PassengerId      0\n",
+       "Survived         0\n",
+       "Pclass           0\n",
+       "Name             0\n",
+       "Sex              0\n",
+       "Age            177\n",
+       "SibSp            0\n",
+       "Parch            0\n",
+       "Ticket           0\n",
+       "Fare             0\n",
+       "Cabin          687\n",
+       "Embarked         2\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 138,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_contagem_null"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Braund, Mr. Owen Harris</td>\n",
+       "      <td>male</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
+       "      <td>female</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Heikkinen, Miss. Laina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Allen, Mr. William Henry</td>\n",
+       "      <td>male</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>886</th>\n",
+       "      <td>887</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Montvila, Rev. Juozas</td>\n",
+       "      <td>male</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>211536</td>\n",
+       "      <td>13.0000</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>887</th>\n",
+       "      <td>888</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Graham, Miss. Margaret Edith</td>\n",
+       "      <td>female</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>112053</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>888</th>\n",
+       "      <td>889</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
+       "      <td>female</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>W./C. 6607</td>\n",
+       "      <td>23.4500</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>889</th>\n",
+       "      <td>890</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Behr, Mr. Karl Howell</td>\n",
+       "      <td>male</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>111369</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>890</th>\n",
+       "      <td>891</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Dooley, Mr. Patrick</td>\n",
+       "      <td>male</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>370376</td>\n",
+       "      <td>7.7500</td>\n",
+       "      <td>Q</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>891 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     PassengerId  Survived  Pclass  \\\n",
+       "0              1         0       3   \n",
+       "1              2         1       1   \n",
+       "2              3         1       3   \n",
+       "3              4         1       1   \n",
+       "4              5         0       3   \n",
+       "..           ...       ...     ...   \n",
+       "886          887         0       2   \n",
+       "887          888         1       1   \n",
+       "888          889         0       3   \n",
+       "889          890         1       1   \n",
+       "890          891         0       3   \n",
+       "\n",
+       "                                                  Name     Sex   Age  SibSp  \\\n",
+       "0                              Braund, Mr. Owen Harris    male  22.0      1   \n",
+       "1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
+       "2                               Heikkinen, Miss. Laina  female  26.0      0   \n",
+       "3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
+       "4                             Allen, Mr. William Henry    male  35.0      0   \n",
+       "..                                                 ...     ...   ...    ...   \n",
+       "886                              Montvila, Rev. Juozas    male  27.0      0   \n",
+       "887                       Graham, Miss. Margaret Edith  female  19.0      0   \n",
+       "888           Johnston, Miss. Catherine Helen \"Carrie\"  female   NaN      1   \n",
+       "889                              Behr, Mr. Karl Howell    male  26.0      0   \n",
+       "890                                Dooley, Mr. Patrick    male  32.0      0   \n",
+       "\n",
+       "     Parch            Ticket     Fare Embarked  \n",
+       "0        0         A/5 21171   7.2500        S  \n",
+       "1        0          PC 17599  71.2833        C  \n",
+       "2        0  STON/O2. 3101282   7.9250        S  \n",
+       "3        0            113803  53.1000        S  \n",
+       "4        0            373450   8.0500        S  \n",
+       "..     ...               ...      ...      ...  \n",
+       "886      0            211536  13.0000        S  \n",
+       "887      0            112053  30.0000        S  \n",
+       "888      2        W./C. 6607  23.4500        S  \n",
+       "889      0            111369  30.0000        C  \n",
+       "890      0            370376   7.7500        Q  \n",
+       "\n",
+       "[891 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 139,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_excluir_coluna"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "      <th></th>\n",
+       "      <th>index</th>\n",
+       "      <th>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
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+       "      <td>756</td>\n",
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+       "      <td>2</td>\n",
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+       "      <td>645</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Baclini, Miss. Eugenie</td>\n",
+       "      <td>female</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2666</td>\n",
+       "      <td>19.2583</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
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+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>469</td>\n",
+       "      <td>470</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Baclini, Miss. Helene Barbara</td>\n",
+       "      <td>female</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2666</td>\n",
+       "      <td>19.2583</td>\n",
+       "      <td>NaN</td>\n",
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+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>78</td>\n",
+       "      <td>79</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Caldwell, Master. Alden Gates</td>\n",
+       "      <td>male</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>248738</td>\n",
+       "      <td>29.0000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "    <tr>\n",
+       "      <th>886</th>\n",
+       "      <td>859</td>\n",
+       "      <td>860</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Razi, Mr. Raihed</td>\n",
+       "      <td>male</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2629</td>\n",
+       "      <td>7.2292</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>887</th>\n",
+       "      <td>863</td>\n",
+       "      <td>864</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Sage, Miss. Dorothy Edith \"Dolly\"</td>\n",
+       "      <td>female</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>CA. 2343</td>\n",
+       "      <td>69.5500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>888</th>\n",
+       "      <td>868</td>\n",
+       "      <td>869</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>van Melkebeke, Mr. Philemon</td>\n",
+       "      <td>male</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>345777</td>\n",
+       "      <td>9.5000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>889</th>\n",
+       "      <td>878</td>\n",
+       "      <td>879</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Laleff, Mr. Kristo</td>\n",
+       "      <td>male</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>S</td>\n",
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+       "    <tr>\n",
+       "      <th>890</th>\n",
+       "      <td>888</td>\n",
+       "      <td>889</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
+       "      <td>female</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>W./C. 6607</td>\n",
+       "      <td>23.4500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>891 rows × 13 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     index  PassengerId  Survived  Pclass  \\\n",
+       "0      803          804         1       3   \n",
+       "1      755          756         1       2   \n",
+       "2      644          645         1       3   \n",
+       "3      469          470         1       3   \n",
+       "4       78           79         1       2   \n",
+       "..     ...          ...       ...     ...   \n",
+       "886    859          860         0       3   \n",
+       "887    863          864         0       3   \n",
+       "888    868          869         0       3   \n",
+       "889    878          879         0       3   \n",
+       "890    888          889         0       3   \n",
+       "\n",
+       "                                         Name     Sex   Age  SibSp  Parch  \\\n",
+       "0             Thomas, Master. Assad Alexander    male  0.42      0      1   \n",
+       "1                   Hamalainen, Master. Viljo    male  0.67      1      1   \n",
+       "2                      Baclini, Miss. Eugenie  female  0.75      2      1   \n",
+       "3               Baclini, Miss. Helene Barbara  female  0.75      2      1   \n",
+       "4               Caldwell, Master. Alden Gates    male  0.83      0      2   \n",
+       "..                                        ...     ...   ...    ...    ...   \n",
+       "886                          Razi, Mr. Raihed    male   NaN      0      0   \n",
+       "887         Sage, Miss. Dorothy Edith \"Dolly\"  female   NaN      8      2   \n",
+       "888               van Melkebeke, Mr. Philemon    male   NaN      0      0   \n",
+       "889                        Laleff, Mr. Kristo    male   NaN      0      0   \n",
+       "890  Johnston, Miss. Catherine Helen \"Carrie\"  female   NaN      1      2   \n",
+       "\n",
+       "         Ticket     Fare Cabin Embarked  \n",
+       "0          2625   8.5167   NaN        C  \n",
+       "1        250649  14.5000   NaN        S  \n",
+       "2          2666  19.2583   NaN        C  \n",
+       "3          2666  19.2583   NaN        C  \n",
+       "4        248738  29.0000   NaN        S  \n",
+       "..          ...      ...   ...      ...  \n",
+       "886        2629   7.2292   NaN        C  \n",
+       "887    CA. 2343  69.5500   NaN        S  \n",
+       "888      345777   9.5000   NaN        S  \n",
+       "889      349217   7.8958   NaN        S  \n",
+       "890  W./C. 6607  23.4500   NaN        S  \n",
+       "\n",
+       "[891 rows x 13 columns]"
+      ]
+     },
+     "execution_count": 140,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_sort_cresc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  <thead>\n",
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+       "      <th></th>\n",
+       "      <th>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
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+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>34</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Wheadon, Mr. Edward H</td>\n",
+       "      <td>male</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
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+       "      <th>54</th>\n",
+       "      <td>55</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Ostby, Mr. Engelhart Cornelius</td>\n",
+       "      <td>male</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>113509</td>\n",
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+       "      <td>B30</td>\n",
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+       "      <th>96</th>\n",
+       "      <td>97</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Goldschmidt, Mr. George B</td>\n",
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+       "      <td>71.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17754</td>\n",
+       "      <td>34.6542</td>\n",
+       "      <td>A5</td>\n",
+       "      <td>C</td>\n",
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+       "      <th>116</th>\n",
+       "      <td>117</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>Connors, Mr. Patrick</td>\n",
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+       "      <td>7.7500</td>\n",
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+       "      <th>170</th>\n",
+       "      <td>171</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Van der hoef, Mr. Wyckoff</td>\n",
+       "      <td>male</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>111240</td>\n",
+       "      <td>33.5000</td>\n",
+       "      <td>B19</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>252</th>\n",
+       "      <td>253</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Stead, Mr. William Thomas</td>\n",
+       "      <td>male</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113514</td>\n",
+       "      <td>26.5500</td>\n",
+       "      <td>C87</td>\n",
+       "      <td>S</td>\n",
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+       "    <tr>\n",
+       "      <th>275</th>\n",
+       "      <td>276</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
+       "      <td>female</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13502</td>\n",
+       "      <td>77.9583</td>\n",
+       "      <td>D7</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>280</th>\n",
+       "      <td>281</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Duane, Mr. Frank</td>\n",
+       "      <td>male</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>336439</td>\n",
+       "      <td>7.7500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Q</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>326</th>\n",
+       "      <td>327</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Nysveen, Mr. Johan Hansen</td>\n",
+       "      <td>male</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>345364</td>\n",
+       "      <td>6.2375</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
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+       "    <tr>\n",
+       "      <th>366</th>\n",
+       "      <td>367</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Warren, Mrs. Frank Manley (Anna Sophia Atkinson)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>110813</td>\n",
+       "      <td>75.2500</td>\n",
+       "      <td>D37</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>438</th>\n",
+       "      <td>439</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Fortune, Mr. Mark</td>\n",
+       "      <td>male</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19950</td>\n",
+       "      <td>263.0000</td>\n",
+       "      <td>C23 C25 C27</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>456</th>\n",
+       "      <td>457</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Millet, Mr. Francis Davis</td>\n",
+       "      <td>male</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13509</td>\n",
+       "      <td>26.5500</td>\n",
+       "      <td>E38</td>\n",
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+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Turkula, Mrs. (Hedwig)</td>\n",
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+       "      <td>9.5875</td>\n",
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+       "      <td>0</td>\n",
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+       "      <td>Artagaveytia, Mr. Ramon</td>\n",
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+       "      <td>71.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17609</td>\n",
+       "      <td>49.5042</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>545</th>\n",
+       "      <td>546</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Nicholson, Mr. Arthur Ernest</td>\n",
+       "      <td>male</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>693</td>\n",
+       "      <td>26.0000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>555</th>\n",
+       "      <td>556</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Wright, Mr. George</td>\n",
+       "      <td>male</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113807</td>\n",
+       "      <td>26.5500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>570</th>\n",
+       "      <td>571</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Harris, Mr. George</td>\n",
+       "      <td>male</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>S.W./PP 752</td>\n",
+       "      <td>10.5000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>587</th>\n",
+       "      <td>588</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Frolicher-Stehli, Mr. Maxmillian</td>\n",
+       "      <td>male</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13567</td>\n",
+       "      <td>79.2000</td>\n",
+       "      <td>B41</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>625</th>\n",
+       "      <td>626</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Sutton, Mr. Frederick</td>\n",
+       "      <td>male</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>36963</td>\n",
+       "      <td>32.3208</td>\n",
+       "      <td>D50</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>630</th>\n",
+       "      <td>631</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
+       "      <td>male</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>27042</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>A23</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>672</th>\n",
+       "      <td>673</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Mitchell, Mr. Henry Michael</td>\n",
+       "      <td>male</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>C.A. 24580</td>\n",
+       "      <td>10.5000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>684</th>\n",
+       "      <td>685</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Brown, Mr. Thomas William Solomon</td>\n",
+       "      <td>male</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>29750</td>\n",
+       "      <td>39.0000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>694</th>\n",
+       "      <td>695</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Weir, Col. John</td>\n",
+       "      <td>male</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113800</td>\n",
+       "      <td>26.5500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>745</th>\n",
+       "      <td>746</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Crosby, Capt. Edward Gifford</td>\n",
+       "      <td>male</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>WE/P 5735</td>\n",
+       "      <td>71.0000</td>\n",
+       "      <td>B22</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>829</th>\n",
+       "      <td>830</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Stone, Mrs. George Nelson (Martha Evelyn)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113572</td>\n",
+       "      <td>80.0000</td>\n",
+       "      <td>B28</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>851</th>\n",
+       "      <td>852</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Svensson, Mr. Johan</td>\n",
+       "      <td>male</td>\n",
+       "      <td>74.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>347060</td>\n",
+       "      <td>7.7750</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     PassengerId  Survived  Pclass  \\\n",
+       "33            34         0       2   \n",
+       "54            55         0       1   \n",
+       "96            97         0       1   \n",
+       "116          117         0       3   \n",
+       "170          171         0       1   \n",
+       "252          253         0       1   \n",
+       "275          276         1       1   \n",
+       "280          281         0       3   \n",
+       "326          327         0       3   \n",
+       "366          367         1       1   \n",
+       "438          439         0       1   \n",
+       "456          457         0       1   \n",
+       "483          484         1       3   \n",
+       "493          494         0       1   \n",
+       "545          546         0       1   \n",
+       "555          556         0       1   \n",
+       "570          571         1       2   \n",
+       "587          588         1       1   \n",
+       "625          626         0       1   \n",
+       "630          631         1       1   \n",
+       "672          673         0       2   \n",
+       "684          685         0       2   \n",
+       "694          695         0       1   \n",
+       "745          746         0       1   \n",
+       "829          830         1       1   \n",
+       "851          852         0       3   \n",
+       "\n",
+       "                                                 Name     Sex   Age  SibSp  \\\n",
+       "33                              Wheadon, Mr. Edward H    male  66.0      0   \n",
+       "54                     Ostby, Mr. Engelhart Cornelius    male  65.0      0   \n",
+       "96                          Goldschmidt, Mr. George B    male  71.0      0   \n",
+       "116                              Connors, Mr. Patrick    male  70.5      0   \n",
+       "170                         Van der hoef, Mr. Wyckoff    male  61.0      0   \n",
+       "252                         Stead, Mr. William Thomas    male  62.0      0   \n",
+       "275                 Andrews, Miss. Kornelia Theodosia  female  63.0      1   \n",
+       "280                                  Duane, Mr. Frank    male  65.0      0   \n",
+       "326                         Nysveen, Mr. Johan Hansen    male  61.0      0   \n",
+       "366  Warren, Mrs. Frank Manley (Anna Sophia Atkinson)  female  60.0      1   \n",
+       "438                                 Fortune, Mr. Mark    male  64.0      1   \n",
+       "456                         Millet, Mr. Francis Davis    male  65.0      0   \n",
+       "483                            Turkula, Mrs. (Hedwig)  female  63.0      0   \n",
+       "493                           Artagaveytia, Mr. Ramon    male  71.0      0   \n",
+       "545                      Nicholson, Mr. Arthur Ernest    male  64.0      0   \n",
+       "555                                Wright, Mr. George    male  62.0      0   \n",
+       "570                                Harris, Mr. George    male  62.0      0   \n",
+       "587                  Frolicher-Stehli, Mr. Maxmillian    male  60.0      1   \n",
+       "625                             Sutton, Mr. Frederick    male  61.0      0   \n",
+       "630              Barkworth, Mr. Algernon Henry Wilson    male  80.0      0   \n",
+       "672                       Mitchell, Mr. Henry Michael    male  70.0      0   \n",
+       "684                 Brown, Mr. Thomas William Solomon    male  60.0      1   \n",
+       "694                                   Weir, Col. John    male  60.0      0   \n",
+       "745                      Crosby, Capt. Edward Gifford    male  70.0      1   \n",
+       "829         Stone, Mrs. George Nelson (Martha Evelyn)  female  62.0      0   \n",
+       "851                               Svensson, Mr. Johan    male  74.0      0   \n",
+       "\n",
+       "     Parch       Ticket      Fare        Cabin Embarked  \n",
+       "33       0   C.A. 24579   10.5000          NaN        S  \n",
+       "54       1       113509   61.9792          B30        C  \n",
+       "96       0     PC 17754   34.6542           A5        C  \n",
+       "116      0       370369    7.7500          NaN        Q  \n",
+       "170      0       111240   33.5000          B19        S  \n",
+       "252      0       113514   26.5500          C87        S  \n",
+       "275      0        13502   77.9583           D7        S  \n",
+       "280      0       336439    7.7500          NaN        Q  \n",
+       "326      0       345364    6.2375          NaN        S  \n",
+       "366      0       110813   75.2500          D37        C  \n",
+       "438      4        19950  263.0000  C23 C25 C27        S  \n",
+       "456      0        13509   26.5500          E38        S  \n",
+       "483      0         4134    9.5875          NaN        S  \n",
+       "493      0     PC 17609   49.5042          NaN        C  \n",
+       "545      0          693   26.0000          NaN        S  \n",
+       "555      0       113807   26.5500          NaN        S  \n",
+       "570      0  S.W./PP 752   10.5000          NaN        S  \n",
+       "587      1        13567   79.2000          B41        C  \n",
+       "625      0        36963   32.3208          D50        S  \n",
+       "630      0        27042   30.0000          A23        S  \n",
+       "672      0   C.A. 24580   10.5000          NaN        S  \n",
+       "684      1        29750   39.0000          NaN        S  \n",
+       "694      0       113800   26.5500          NaN        S  \n",
+       "745      1    WE/P 5735   71.0000          B22        S  \n",
+       "829      0       113572   80.0000          B28      NaN  \n",
+       "851      0       347060    7.7750          NaN        S  "
+      ]
+     },
+     "execution_count": 141,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_filtrafo_oneC\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
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+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>275</th>\n",
+       "      <td>276</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
+       "      <td>female</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13502</td>\n",
+       "      <td>77.9583</td>\n",
+       "      <td>D7</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>483</th>\n",
+       "      <td>484</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Turkula, Mrs. (Hedwig)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4134</td>\n",
+       "      <td>9.5875</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>829</th>\n",
+       "      <td>830</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Stone, Mrs. George Nelson (Martha Evelyn)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113572</td>\n",
+       "      <td>80.0000</td>\n",
+       "      <td>B28</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     PassengerId  Survived  Pclass                                       Name  \\\n",
+       "275          276         1       1          Andrews, Miss. Kornelia Theodosia   \n",
+       "483          484         1       3                     Turkula, Mrs. (Hedwig)   \n",
+       "829          830         1       1  Stone, Mrs. George Nelson (Martha Evelyn)   \n",
+       "\n",
+       "        Sex   Age  SibSp  Parch  Ticket     Fare Cabin Embarked  \n",
+       "275  female  63.0      1      0   13502  77.9583    D7        S  \n",
+       "483  female  63.0      0      0    4134   9.5875   NaN        S  \n",
+       "829  female  62.0      0      0  113572  80.0000   B28      NaN  "
+      ]
+     },
+     "execution_count": 142,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_filtrado_MultC"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
+       "      <td>female</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>237736</td>\n",
+       "      <td>30.0708</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>20</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Masselmani, Mrs. Fatima</td>\n",
+       "      <td>female</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2649</td>\n",
+       "      <td>7.2250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>27</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Emir, Mr. Farred Chehab</td>\n",
+       "      <td>male</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2631</td>\n",
+       "      <td>7.2250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>31</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Uruchurtu, Don. Manuel E</td>\n",
+       "      <td>male</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17601</td>\n",
+       "      <td>27.7208</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>866</th>\n",
+       "      <td>867</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Duran y More, Miss. Asuncion</td>\n",
+       "      <td>female</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>SC/PARIS 2149</td>\n",
+       "      <td>13.8583</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>874</th>\n",
+       "      <td>875</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Abelson, Mrs. Samuel (Hannah Wizosky)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>P/PP 3381</td>\n",
+       "      <td>24.0000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>875</th>\n",
+       "      <td>876</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Najib, Miss. Adele Kiamie \"Jane\"</td>\n",
+       "      <td>female</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2667</td>\n",
+       "      <td>7.2250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>879</th>\n",
+       "      <td>880</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11767</td>\n",
+       "      <td>83.1583</td>\n",
+       "      <td>C50</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>889</th>\n",
+       "      <td>890</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Behr, Mr. Karl Howell</td>\n",
+       "      <td>male</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>111369</td>\n",
+       "      <td>30.0000</td>\n",
+       "      <td>C148</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>168 rows × 12 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     PassengerId  Survived  Pclass  \\\n",
+       "1              2         1       1   \n",
+       "9             10         1       2   \n",
+       "19            20         1       3   \n",
+       "26            27         0       3   \n",
+       "30            31         0       1   \n",
+       "..           ...       ...     ...   \n",
+       "866          867         1       2   \n",
+       "874          875         1       2   \n",
+       "875          876         1       3   \n",
+       "879          880         1       1   \n",
+       "889          890         1       1   \n",
+       "\n",
+       "                                                  Name     Sex   Age  SibSp  \\\n",
+       "1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
+       "9                  Nasser, Mrs. Nicholas (Adele Achem)  female  14.0      1   \n",
+       "19                             Masselmani, Mrs. Fatima  female   NaN      0   \n",
+       "26                             Emir, Mr. Farred Chehab    male   NaN      0   \n",
+       "30                            Uruchurtu, Don. Manuel E    male  40.0      0   \n",
+       "..                                                 ...     ...   ...    ...   \n",
+       "866                       Duran y More, Miss. Asuncion  female  27.0      1   \n",
+       "874              Abelson, Mrs. Samuel (Hannah Wizosky)  female  28.0      1   \n",
+       "875                   Najib, Miss. Adele Kiamie \"Jane\"  female  15.0      0   \n",
+       "879      Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)  female  56.0      0   \n",
+       "889                              Behr, Mr. Karl Howell    male  26.0      0   \n",
+       "\n",
+       "     Parch         Ticket     Fare Cabin Embarked  \n",
+       "1        0       PC 17599  71.2833   C85        C  \n",
+       "9        0         237736  30.0708   NaN        C  \n",
+       "19       0           2649   7.2250   NaN        C  \n",
+       "26       0           2631   7.2250   NaN        C  \n",
+       "30       0       PC 17601  27.7208   NaN        C  \n",
+       "..     ...            ...      ...   ...      ...  \n",
+       "866      0  SC/PARIS 2149  13.8583   NaN        C  \n",
+       "874      0      P/PP 3381  24.0000   NaN        C  \n",
+       "875      0           2667   7.2250   NaN        C  \n",
+       "879      1          11767  83.1583   C50        C  \n",
+       "889      0         111369  30.0000  C148        C  \n",
+       "\n",
+       "[168 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 143,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_filtro"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>39</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Vander Planke, Miss. Augusta Maria</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>345764</td>\n",
+       "      <td>18.0000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Arnold-Franchi, Mrs. Josef (Josefine Franchi)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>349237</td>\n",
+       "      <td>17.8000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>144</th>\n",
+       "      <td>145</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Andrew, Mr. Edgardo Samuel</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>231945</td>\n",
+       "      <td>11.5000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>175</th>\n",
+       "      <td>176</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Klasen, Mr. Klas Albin</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>350404</td>\n",
+       "      <td>7.8542</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>204</th>\n",
+       "      <td>205</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Cohen, Mr. Gurshon \"Gus\"</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 3540</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>228</th>\n",
+       "      <td>229</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Fahlstrom, Mr. Arne Jonas</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>236171</td>\n",
+       "      <td>13.0000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>311</th>\n",
+       "      <td>312</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Ryerson, Miss. Emily Borie</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>PC 17608</td>\n",
+       "      <td>262.3750</td>\n",
+       "      <td>B57 B59 B63 B66</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>371</th>\n",
+       "      <td>372</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Wiklund, Mr. Jakob Alfred</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3101267</td>\n",
+       "      <td>6.4958</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>385</th>\n",
+       "      <td>386</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Davies, Mr. Charles Henry</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>S.O.C. 14879</td>\n",
+       "      <td>73.5000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>417</th>\n",
+       "      <td>418</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Silven, Miss. Lyyli Karoliina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>250652</td>\n",
+       "      <td>13.0000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>424</th>\n",
+       "      <td>425</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Rosblom, Mr. Viktor Richard</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>370129</td>\n",
+       "      <td>20.2125</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>505</th>\n",
+       "      <td>506</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Penasco y Castellana, Mr. Victor de Satode</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17758</td>\n",
+       "      <td>108.9000</td>\n",
+       "      <td>C65</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>585</th>\n",
+       "      <td>586</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Taussig, Miss. Ruth</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>110413</td>\n",
+       "      <td>79.6500</td>\n",
+       "      <td>E68</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>651</th>\n",
+       "      <td>652</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Doling, Miss. Elsie</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>231919</td>\n",
+       "      <td>23.0000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>654</th>\n",
+       "      <td>655</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Hegarty, Miss. Hanora \"Nora\"</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>365226</td>\n",
+       "      <td>6.7500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Q</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>675</th>\n",
+       "      <td>676</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Edvardsson, Mr. Gustaf Hjalmar</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>349912</td>\n",
+       "      <td>7.7750</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>677</th>\n",
+       "      <td>678</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Turja, Miss. Anna Sofia</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4138</td>\n",
+       "      <td>9.8417</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>688</th>\n",
+       "      <td>689</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Fischer, Mr. Eberhard Thelander</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>350036</td>\n",
+       "      <td>7.7958</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>700</th>\n",
+       "      <td>701</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17757</td>\n",
+       "      <td>227.5250</td>\n",
+       "      <td>C62 C64</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>702</th>\n",
+       "      <td>703</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Barbara, Miss. Saiide</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2691</td>\n",
+       "      <td>14.4542</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>757</th>\n",
+       "      <td>758</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Bailey, Mr. Percy Andrew</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>29108</td>\n",
+       "      <td>11.5000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>775</th>\n",
+       "      <td>776</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Myhrman, Mr. Pehr Fabian Oliver Malkolm</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>347078</td>\n",
+       "      <td>7.7500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>786</th>\n",
+       "      <td>787</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Sjoblom, Miss. Anna Sofia</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3101265</td>\n",
+       "      <td>7.4958</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>807</th>\n",
+       "      <td>808</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Pettersson, Miss. Ellen Natalia</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>347087</td>\n",
+       "      <td>7.7750</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>834</th>\n",
+       "      <td>835</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Allum, Mr. Owen George</td>\n",
+       "      <td>male</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2223</td>\n",
+       "      <td>8.3000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>855</th>\n",
+       "      <td>856</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Aks, Mrs. Sam (Leah Rosen)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>392091</td>\n",
+       "      <td>9.3500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     PassengerId  Survived  Pclass  \\\n",
+       "38            39         0       3   \n",
+       "49            50         0       3   \n",
+       "144          145         0       2   \n",
+       "175          176         0       3   \n",
+       "204          205         1       3   \n",
+       "228          229         0       2   \n",
+       "311          312         1       1   \n",
+       "371          372         0       3   \n",
+       "385          386         0       2   \n",
+       "417          418         1       2   \n",
+       "424          425         0       3   \n",
+       "505          506         0       1   \n",
+       "585          586         1       1   \n",
+       "651          652         1       2   \n",
+       "654          655         0       3   \n",
+       "675          676         0       3   \n",
+       "677          678         1       3   \n",
+       "688          689         0       3   \n",
+       "700          701         1       1   \n",
+       "702          703         0       3   \n",
+       "757          758         0       2   \n",
+       "775          776         0       3   \n",
+       "786          787         1       3   \n",
+       "807          808         0       3   \n",
+       "834          835         0       3   \n",
+       "855          856         1       3   \n",
+       "\n",
+       "                                                  Name     Sex   Age  SibSp  \\\n",
+       "38                  Vander Planke, Miss. Augusta Maria  female  18.0      2   \n",
+       "49       Arnold-Franchi, Mrs. Josef (Josefine Franchi)  female  18.0      1   \n",
+       "144                         Andrew, Mr. Edgardo Samuel    male  18.0      0   \n",
+       "175                             Klasen, Mr. Klas Albin    male  18.0      1   \n",
+       "204                           Cohen, Mr. Gurshon \"Gus\"    male  18.0      0   \n",
+       "228                          Fahlstrom, Mr. Arne Jonas    male  18.0      0   \n",
+       "311                         Ryerson, Miss. Emily Borie  female  18.0      2   \n",
+       "371                          Wiklund, Mr. Jakob Alfred    male  18.0      1   \n",
+       "385                          Davies, Mr. Charles Henry    male  18.0      0   \n",
+       "417                      Silven, Miss. Lyyli Karoliina  female  18.0      0   \n",
+       "424                        Rosblom, Mr. Viktor Richard    male  18.0      1   \n",
+       "505         Penasco y Castellana, Mr. Victor de Satode    male  18.0      1   \n",
+       "585                                Taussig, Miss. Ruth  female  18.0      0   \n",
+       "651                                Doling, Miss. Elsie  female  18.0      0   \n",
+       "654                       Hegarty, Miss. Hanora \"Nora\"  female  18.0      0   \n",
+       "675                     Edvardsson, Mr. Gustaf Hjalmar    male  18.0      0   \n",
+       "677                            Turja, Miss. Anna Sofia  female  18.0      0   \n",
+       "688                    Fischer, Mr. Eberhard Thelander    male  18.0      0   \n",
+       "700  Astor, Mrs. John Jacob (Madeleine Talmadge Force)  female  18.0      1   \n",
+       "702                              Barbara, Miss. Saiide  female  18.0      0   \n",
+       "757                           Bailey, Mr. Percy Andrew    male  18.0      0   \n",
+       "775            Myhrman, Mr. Pehr Fabian Oliver Malkolm    male  18.0      0   \n",
+       "786                          Sjoblom, Miss. Anna Sofia  female  18.0      0   \n",
+       "807                    Pettersson, Miss. Ellen Natalia  female  18.0      0   \n",
+       "834                             Allum, Mr. Owen George    male  18.0      0   \n",
+       "855                         Aks, Mrs. Sam (Leah Rosen)  female  18.0      0   \n",
+       "\n",
+       "     Parch        Ticket      Fare            Cabin Embarked  \n",
+       "38       0        345764   18.0000              NaN        S  \n",
+       "49       0        349237   17.8000              NaN        S  \n",
+       "144      0        231945   11.5000              NaN        S  \n",
+       "175      1        350404    7.8542              NaN        S  \n",
+       "204      0      A/5 3540    8.0500              NaN        S  \n",
+       "228      0        236171   13.0000              NaN        S  \n",
+       "311      2      PC 17608  262.3750  B57 B59 B63 B66        C  \n",
+       "371      0       3101267    6.4958              NaN        S  \n",
+       "385      0  S.O.C. 14879   73.5000              NaN        S  \n",
+       "417      2        250652   13.0000              NaN        S  \n",
+       "424      1        370129   20.2125              NaN        S  \n",
+       "505      0      PC 17758  108.9000              C65        C  \n",
+       "585      2        110413   79.6500              E68        S  \n",
+       "651      1        231919   23.0000              NaN        S  \n",
+       "654      0        365226    6.7500              NaN        Q  \n",
+       "675      0        349912    7.7750              NaN        S  \n",
+       "677      0          4138    9.8417              NaN        S  \n",
+       "688      0        350036    7.7958              NaN        S  \n",
+       "700      0      PC 17757  227.5250          C62 C64        C  \n",
+       "702      1          2691   14.4542              NaN        C  \n",
+       "757      0         29108   11.5000              NaN        S  \n",
+       "775      0        347078    7.7500              NaN        S  \n",
+       "786      0       3101265    7.4958              NaN        S  \n",
+       "807      0        347087    7.7750              NaN        S  \n",
+       "834      0          2223    8.3000              NaN        S  \n",
+       "855      1        392091    9.3500              NaN        S  "
+      ]
+     },
+     "execution_count": 144,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_consulta"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Palsson, Master. Gosta Leonard</td>\n",
+       "      <td>male</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>349909</td>\n",
+       "      <td>21.0750</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>237736</td>\n",
+       "      <td>30.0708</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Sandstrom, Miss. Marguerite Rut</td>\n",
+       "      <td>female</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>PP 9549</td>\n",
+       "      <td>16.7000</td>\n",
+       "      <td>G6</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>350406</td>\n",
+       "      <td>7.8542</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Rice, Master. Eugene</td>\n",
+       "      <td>male</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>382652</td>\n",
+       "      <td>29.1250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Q</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>850</th>\n",
+       "      <td>851</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Andersson, Master. Sigvard Harald Elias</td>\n",
+       "      <td>male</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>347082</td>\n",
+       "      <td>31.2750</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>852</th>\n",
+       "      <td>853</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Boulos, Miss. Nourelain</td>\n",
+       "      <td>female</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2678</td>\n",
+       "      <td>15.2458</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>853</th>\n",
+       "      <td>854</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Lines, Miss. Mary Conover</td>\n",
+       "      <td>female</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>PC 17592</td>\n",
+       "      <td>39.4000</td>\n",
+       "      <td>D28</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>869</th>\n",
+       "      <td>870</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Johnson, Master. Harold Theodor</td>\n",
+       "      <td>male</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>347742</td>\n",
+       "      <td>11.1333</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>875</th>\n",
+       "      <td>876</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Najib, Miss. Adele Kiamie \"Jane\"</td>\n",
+       "      <td>female</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2667</td>\n",
+       "      <td>7.2250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>113 rows × 12 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     PassengerId  Survived  Pclass                                     Name  \\\n",
+       "7              8         0       3           Palsson, Master. Gosta Leonard   \n",
+       "9             10         1       2      Nasser, Mrs. Nicholas (Adele Achem)   \n",
+       "10            11         1       3          Sandstrom, Miss. Marguerite Rut   \n",
+       "14            15         0       3     Vestrom, Miss. Hulda Amanda Adolfina   \n",
+       "16            17         0       3                     Rice, Master. Eugene   \n",
+       "..           ...       ...     ...                                      ...   \n",
+       "850          851         0       3  Andersson, Master. Sigvard Harald Elias   \n",
+       "852          853         0       3                  Boulos, Miss. Nourelain   \n",
+       "853          854         1       1                Lines, Miss. Mary Conover   \n",
+       "869          870         1       3          Johnson, Master. Harold Theodor   \n",
+       "875          876         1       3         Najib, Miss. Adele Kiamie \"Jane\"   \n",
+       "\n",
+       "        Sex   Age  SibSp  Parch    Ticket     Fare Cabin Embarked  \n",
+       "7      male   2.0      3      1    349909  21.0750   NaN        S  \n",
+       "9    female  14.0      1      0    237736  30.0708   NaN        C  \n",
+       "10   female   4.0      1      1   PP 9549  16.7000    G6        S  \n",
+       "14   female  14.0      0      0    350406   7.8542   NaN        S  \n",
+       "16     male   2.0      4      1    382652  29.1250   NaN        Q  \n",
+       "..      ...   ...    ...    ...       ...      ...   ...      ...  \n",
+       "850    male   4.0      4      2    347082  31.2750   NaN        S  \n",
+       "852  female   9.0      1      1      2678  15.2458   NaN        C  \n",
+       "853  female  16.0      0      1  PC 17592  39.4000   D28        S  \n",
+       "869    male   4.0      1      1    347742  11.1333   NaN        S  \n",
+       "875  female  15.0      0      0      2667   7.2250   NaN        C  \n",
+       "\n",
+       "[113 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 145,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_agrupamento"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# > Visualizações / Insigts\n",
+    "- Exibir um Gráfico Pizza mostrando o Percentual de Sobreviventes e Não Sobreviventes\n",
+    "- Exibir um Gráfico Barra mostrando o valor arrecadado por cada classe;\n",
+    "- Exibir um Gráfico Barra na Horizontal para mostrar a quantidade mulheres que sobreviveram\n",
+    "- Exibir um Gráfico Histograma para mostrar a distribuição de tarifas cobradas no Titanic.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Import da Biblioteca Matplot \n",
+    "\n",
+    "A biblioteca Matplot é utilizada para gerar gráficos."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 211,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "UsageError: Line magic function `%matplotib` not found.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "%matplotib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Código para mostragem dos gráficos e visualização dos gráficos. \n",
+    "### Obrigatório no mínimo 3 gráficos diferentes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 209,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 217,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Gráfico Pizza Mostrando o Percentual de Sobreviventes e Não Sobreviventes\n",
+    "df['Survived'].value_counts().plot.pie(colors=('tab:purple', 'tab:blue'),  title=' Porcentagem de sobreviventes', fontsize=15, shadow=True, startangle=90, autopct='%1.1f%%', \n",
+    "                                       labels=('Não sobreviveram','Sobreviveram'),\n",
+    "                                       figsize=(6,4)).set_ylabel('')\n",
+    "\n",
+    "\n",
+    "sobreviventes = df['Survived'].value_counts()\n",
+    "total = sobreviventes.sum()\n",
+    "nao_sobreviventes = sobreviventes[0]\n",
+    "sobreviventes = sobreviventes[1]\n",
+    "\n",
+    "def calc_percentual(sobreviventes, total):\n",
+    "\n",
+    "    print('{0}% sobreviveram e {1}% não sobreviveram'\n",
+    "      .format(calc_percentual(sobreviventes, total), calc_percentual(nao_sobreviventes, total)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Valor de Dinheiro Arrecadado por Classe')"
+      ]
+     },
+     "execution_count": 163,
+     "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 Barra Exibindo Valor arrecadado por cada Classe.\n",
+    "dado_agrupado = df.groupby('Pclass')\n",
+    "dado_agrupado\n",
+    "\n",
+    "valor_arrecadado = dado_agrupado['Fare'].sum()\n",
+    "valor_arrecadado.plot(kind='bar');\n",
+    "\n",
+    "plt.xlabel('Classes')\n",
+    "plt.ylabel('Valores')\n",
+    "plt.title('Valor de Dinheiro Arrecadado por Classe')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 226,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Apenas 233 mulheres sobreviveram e 81 não sobreviveram\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Exibição de um gráfico Barra na Horizontal para mostrar a quantidade mulheres que sobreviveram\n",
+    "mulheres_sobreviventes = df[df['Sex'] == \"female\"][\"Survived\"]\n",
+    "\n",
+    "\n",
+    "locations = [1, 2]\n",
+    "heights = mulheres_sobreviventes.value_counts()\n",
+    "labels = ['Sobreviveu', 'Não Sobreviveu']\n",
+    "plt.barh(locations, heights, tick_label=labels)\n",
+    "plt.title('Mulheres Sobreviventes')\n",
+    "plt.xlabel('Quantidade')\n",
+    "plt.ylabel('Sobreviventes')\n",
+    "\n",
+    "\n",
+    "print('Apenas {0} mulheres sobreviveram e {1} não sobreviveram'\n",
+    "      .format(mulheres_sobreviventes.value_counts()[1], mulheres_sobreviventes.value_counts()[0]))\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Distribuição de Tarifas  ')"
+      ]
+     },
+     "execution_count": 229,
+     "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": [
+    "# Exibição de um histograma trazendo a distribuição de Tarifas Cobradas no Titanic\n",
+    "df['Fare'].plot.hist(bins=10, edgecolor='pink')\n",
+    "\n",
+    "plt.xlabel('Tarifa')\n",
+    "plt.ylabel('Quantidade')\n",
+    "plt.title('Distribuição de Tarifas  ')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Ideias/ Insigts\n",
+    "- valor médio do tíquete para cada classe\n",
+    "- porcentagem de sobreviventes entre os idosos\n",
+    "- porcentagem de sobreviventes entre as crianças\n",
+    "- porcentagem de sobreviventes entre as mulheres\n",
+    "- porcentagem de sobreviventes entre os homens\n",
+    "- idade da vítima mais nova\n",
+    "- idade da vítima mais velha\n",
+    "- qual família teve mais sobreviventes"
+   ]
+  }
+ ],
+ "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": "3.12.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/exercicios/para-casa/titanic.csv b/exercicios/para-casa/titanic.csv
new file mode 100644
index 0000000..63b68ab
--- /dev/null
+++ b/exercicios/para-casa/titanic.csv
@@ -0,0 +1,892 @@
+PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
+1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S
+2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C
+3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S
+4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S
+5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S
+6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q
+7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S
+8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S
+9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S
+10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C
+11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S
+12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S
+13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S
+14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S
+15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S
+16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S
+17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q
+18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S
+19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S
+20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C
+21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S
+22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S
+23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q
+24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S
+25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S
+26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S
+27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C
+28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S
+29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q
+30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S
+31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C
+32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C
+33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q
+34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S
+35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C
+36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S
+37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C
+38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S
+39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S
+40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C
+41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S
+42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S
+43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C
+44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C
+45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q
+46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S
+47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q
+48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q
+49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C
+50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S
+51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S
+52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S
+53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C
+54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S
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