diff --git a/exercicios/para-casa/exrcicios_aula12.ipynb b/exercicios/para-casa/exrcicios_aula12.ipynb new file mode 100644 index 0000000..0be67c4 --- /dev/null +++ b/exercicios/para-casa/exrcicios_aula12.ipynb @@ -0,0 +1,1096 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "#carregando a biblioteca \n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "#carregando o dataset\n", + "df = pd.read_csv(\"titanic.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
.......................................
88688702Montvila, Rev. Juozasmale27.00021153613.0000NaNS
88788811Graham, Miss. Margaret Edithfemale19.00011205330.0000B42S
88888903Johnston, Miss. Catherine Helen \"Carrie\"femaleNaN12W./C. 660723.4500NaNS
88989011Behr, Mr. Karl Howellmale26.00011136930.0000C148C
89089103Dooley, Mr. Patrickmale32.0003703767.7500NaNQ
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" + ], + "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 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 \n", + ".. ... ... ... ... ... \n", + "886 0 211536 13.0000 NaN S \n", + "887 0 112053 30.0000 B42 S \n", + "888 2 W./C. 6607 23.4500 NaN S \n", + "889 0 111369 30.0000 C148 C \n", + "890 0 370376 7.7500 NaN Q \n", + "\n", + "[891 rows x 12 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#dataframe original\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(305, 12)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Vamos começar com um filtro baseado em uma única condição: idade > 30\n", + "df_filtrado = df[df['Age'] > 30]\n", + "df_filtrado.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0, 12)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Criando um filtro de várias condições\n", + "df_filtrado = df[(df['Age']> 30) & (df['Sex'] == 'F')] \n", + "df_filtrado.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
76676701Brewe, Dr. Arthur JacksonmaleNaN0011237939.6NaNC
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" + ], + "text/plain": [ + " PassengerId Survived Pclass Name Sex Age \\\n", + "766 767 0 1 Brewe, Dr. Arthur Jackson male NaN \n", + "\n", + " SibSp Parch Ticket Fare Cabin Embarked \n", + "766 0 0 112379 39.6 NaN C " + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Procurando entradas com um texto específico\n", + "\n", + "df[df['Name'].str.contains('Jack')]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(6, 12)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Procurando entradas com um texto específico\n", + "\n", + "df_filtrado = df[df['Name'].str.contains('Good')]\n", + "df_filtrado.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(77, 12)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Função isin\n", + "\n", + "df_filtrado = df[df['Embarked'].isin(['Q'])]\n", + "df_filtrado.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(491, 12)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_consulta = df.query(\"Pclass == 3\")\n", + "df_consulta.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(707, 12)" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_consulta = df.query(\"Pclass in (1,3)\")\n", + "df_consulta.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
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PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
101113Sandstrom, Miss. Marguerite Rutfemale4.011PP 954916.7000G6S
111211Bonnell, Miss. Elizabethfemale58.00011378326.5500C103S
121303Saundercock, Mr. William Henrymale20.000A/5. 21518.0500NaNS
131403Andersson, Mr. Anders Johanmale39.01534708231.2750NaNS
141503Vestrom, Miss. Hulda Amanda Adolfinafemale14.0003504067.8542NaNS
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" + ], + "text/plain": [ + " PassengerId Survived Pclass Name \\\n", + "10 11 1 3 Sandstrom, Miss. Marguerite Rut \n", + "11 12 1 1 Bonnell, Miss. Elizabeth \n", + "12 13 0 3 Saundercock, Mr. William Henry \n", + "13 14 0 3 Andersson, Mr. Anders Johan \n", + "14 15 0 3 Vestrom, Miss. Hulda Amanda Adolfina \n", + "\n", + " Sex Age SibSp Parch Ticket Fare Cabin Embarked \n", + "10 female 4.0 1 1 PP 9549 16.7000 G6 S \n", + "11 female 58.0 0 0 113783 26.5500 C103 S \n", + "12 male 20.0 0 0 A/5. 2151 8.0500 NaN S \n", + "13 male 39.0 1 5 347082 31.2750 NaN S \n", + "14 female 14.0 0 0 350406 7.8542 NaN S " + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.iloc[10:15, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(314, 12)" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_filtrado = df[df['Sex'] == 'female']\n", + "df_filtrado.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(441, 12)" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_filtrado = df[(df['Sex']== 'male') & (df['Embarked'] == 'S')] \n", + "df_filtrado.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1C123S
13713801Futrelle, Mr. Jacques Heathmale37.01011380353.1C123S
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" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "3 4 1 1 \n", + "137 138 0 1 \n", + "\n", + " Name Sex Age SibSp Parch \\\n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 0 \n", + "137 Futrelle, Mr. Jacques Heath male 37.0 1 0 \n", + "\n", + " Ticket Fare Cabin Embarked \n", + "3 113803 53.1 C123 S \n", + "137 113803 53.1 C123 S " + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_filtrado = df[df['Name'].str.contains('Heath')]\n", + "df_filtrado" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(675, 12)" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_consulta = df.query(\"Pclass in (2,3)\")\n", + "df_consulta.shape" + ] + } + ], + "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": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/exercicios/para-casa/para-casa-aula12.ipynb b/exercicios/para-casa/para-casa-aula12.ipynb new file mode 100644 index 0000000..90ec7c1 --- /dev/null +++ b/exercicios/para-casa/para-casa-aula12.ipynb @@ -0,0 +1,661 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Exercício Semana 12 - Marianna Carvalho (feito com Igea Martins)\n", + "# Introdução\n", + "\n", + "O dataset 'titanic.csv' foi retirado do Kaggle e apresenta dados simples sobre os passageiros do Titanic. É uma coleção que contém informações sobre passageiros a bordo do famoso navio Titanic. Inclui variáveis como idade, classe social, sexo e sobrevivência, permitindo análises exploratórias e modelagem preditiva. " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
0103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
1211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
2313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
3411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
4503Allen, Mr. William Henrymale35.0003734508.0500NaNS
.......................................
88688702Montvila, Rev. Juozasmale27.00021153613.0000NaNS
88788811Graham, Miss. Margaret Edithfemale19.00011205330.0000B42S
88888903Johnston, Miss. Catherine Helen \"Carrie\"femaleNaN12W./C. 660723.4500NaNS
88989011Behr, Mr. Karl Howellmale26.00011136930.0000C148C
89089103Dooley, Mr. Patrickmale32.0003703767.7500NaNQ
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891 rows × 12 columns

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" + ], + "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 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 \n", + ".. ... ... ... ... ... \n", + "886 0 211536 13.0000 NaN S \n", + "887 0 112053 30.0000 B42 S \n", + "888 2 W./C. 6607 23.4500 NaN S \n", + "889 0 111369 30.0000 C148 C \n", + "890 0 370376 7.7500 NaN Q \n", + "\n", + "[891 rows x 12 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Dataframe original\n", + "\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "df = pd.read_csv(\"titanic.csv\")\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Processamento" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countmeanstdmin25%50%75%max
PassengerId891.0446.000000257.3538421.00223.5000446.0000668.5891.0000
Survived891.00.3838380.4865920.000.00000.00001.01.0000
Pclass891.02.3086420.8360711.002.00003.00003.03.0000
Age714.029.69911814.5264970.4220.125028.000038.080.0000
SibSp891.00.5230081.1027430.000.00000.00001.08.0000
Parch891.00.3815940.8060570.000.00000.00000.06.0000
Fare891.032.20420849.6934290.007.910414.454231.0512.3292
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" + ], + "text/plain": [ + " count mean std min 25% 50% 75% \\\n", + "PassengerId 891.0 446.000000 257.353842 1.00 223.5000 446.0000 668.5 \n", + "Survived 891.0 0.383838 0.486592 0.00 0.0000 0.0000 1.0 \n", + "Pclass 891.0 2.308642 0.836071 1.00 2.0000 3.0000 3.0 \n", + "Age 714.0 29.699118 14.526497 0.42 20.1250 28.0000 38.0 \n", + "SibSp 891.0 0.523008 1.102743 0.00 0.0000 0.0000 1.0 \n", + "Parch 891.0 0.381594 0.806057 0.00 0.0000 0.0000 0.0 \n", + "Fare 891.0 32.204208 49.693429 0.00 7.9104 14.4542 31.0 \n", + "\n", + " max \n", + "PassengerId 891.0000 \n", + "Survived 1.0000 \n", + "Pclass 3.0000 \n", + "Age 80.0000 \n", + "SibSp 8.0000 \n", + "Parch 6.0000 \n", + "Fare 512.3292 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe().T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visualização" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Qual foi a média de idade dos passageiros em relação ao seu sexo:\n", + "Pelos dados abaixo podemos ver como a maioria das mulheres passageiras eram mais novas (média de 27 anos) do que os homens (média de 30 anos) sobreviventes no navio. " + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(891, 12)" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_ordenado = df.sort_values(by='Age', ascending=True)\n", + "df_ordenado.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(714, 12)" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_ordenado_sem_nan = df_ordenado.dropna(subset=['Age'])\n", + "df_ordenado_sem_nan.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "variacao_idade = df_ordenado_sem_nan.groupby('Sex')['Age']\n", + "variacao_idade.plot.hist()\n", + "\n", + "plt.xlabel('Idade')\n", + "plt.ylabel('Sexo')\n", + "plt.title('Média de Idade de acordo com o Sexo')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Qual foi a média de idade dos sobreviventes em relação ao seu sexo:\n", + "Pelos dados abaixo podemos ver como a maioria das mulheres sobreviventes eram mais velhas (média 28 anos) do que os homens (média 27 anos) sobreviventes no navio. Muito embora a maioria das passageiras mulheres fossem mais novas do que os passageiros homens." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(342, 12)" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_filtrado1 = df[df['Survived'] == True]\n", + "df_filtrado1.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Sex\n", + "female 28.847716\n", + "male 27.276022\n", + "Name: Age, dtype: float64" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "media_idade_genero = df_filtrado1.groupby('Sex')['Age'].mean()\n", + "media_idade_genero" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "media_idade_genero = df_filtrado1.groupby('Sex')['Age'].mean()\n", + "media_idade_genero.plot.bar()\n", + "\n", + "plt.xlabel('Sexo')\n", + "plt.ylabel('Idade')\n", + "plt.title('Média de Idade de acordo com o Sexo')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Qual foi a média de sobreviventes por Porto de Embarque:\n", + " - C: Cherbourg\n", + " - Q: Queenstown\n", + " - S: Southampton\n", + "\n", + " Pelos dados abaixo podemos ver como a maioria dos sobreviventes embarcaram no porto de Cherbourg." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "taxa_sob_porto = df.groupby('Embarked')['Survived'].mean()\n", + "taxa_sob_porto.plot.bar()\n", + "\n", + "plt.xlabel('Embarcados')\n", + "plt.ylabel('Sobreviventes')\n", + "plt.title('Taxa de Sobrevivência por Porto')\n", + "\n", + "plt.show()" + ] + } + ], + "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": "3.11.4" + } + }, + "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..5cc466e --- /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. 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