{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Aula 2 - Manipulação de Dados"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "1EU8zgBDTcli"
},
"outputs": [],
"source": [
"# Importar bibliotecas\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"plt.style.use(\"seaborn\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "4e4eCKNvb1Z-"
},
"outputs": [],
"source": [
"# Atribuir variável de referência ao banco de dados\n",
"tips = pd.read_csv('tips.csv')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "uYgg5ngfcUGA",
"outputId": "1f203d35-998c-4f8d-8aba-e701c6ef12b4"
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"
\n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" total_bill | \n",
" tip | \n",
" sex | \n",
" smoker | \n",
" day | \n",
" time | \n",
" size | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 16.99 | \n",
" 1.01 | \n",
" Female | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 2 | \n",
"
\n",
" \n",
" 1 | \n",
" 10.34 | \n",
" 1.66 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 3 | \n",
"
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" \n",
" 2 | \n",
" 21.01 | \n",
" 3.50 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 3 | \n",
"
\n",
" \n",
" 3 | \n",
" 23.68 | \n",
" 3.31 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 2 | \n",
"
\n",
" \n",
" 4 | \n",
" 24.59 | \n",
" 3.61 | \n",
" Female | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 4 | \n",
"
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" \n",
"
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"
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" \n",
" \n",
"\n",
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"text/plain": [
" total_bill tip sex smoker day time size\n",
"0 16.99 1.01 Female No Sun Dinner 2\n",
"1 10.34 1.66 Male No Sun Dinner 3\n",
"2 21.01 3.50 Male No Sun Dinner 3\n",
"3 23.68 3.31 Male No Sun Dinner 2\n",
"4 24.59 3.61 Female No Sun Dinner 4"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Visualização das 5 primeiras linhas\n",
"tips.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "PDSPwRiNdyC9",
"outputId": "6e2ca48e-37f8-4363-be5d-b2a46f3c0d61"
},
"outputs": [
{
"data": {
"text/plain": [
"(244, 7)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Quantidade de linhas e colunas\n",
"tips.shape"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "PRbx_rL7dSTG",
"outputId": "1d6ab422-29b9-465a-c6bc-fc6a2d056b78"
},
"outputs": [
{
"data": {
"text/plain": [
"total_bill float64\n",
"tip float64\n",
"sex object\n",
"smoker object\n",
"day object\n",
"time object\n",
"size int64\n",
"dtype: object"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Verificar tipos de dados\n",
"tips.dtypes"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 300
},
"id": "PI5iqXy1z2zc",
"outputId": "cbea6be3-cb5f-4989-cdd6-97111c88024b"
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" total_bill | \n",
" tip | \n",
" size | \n",
"
\n",
" \n",
" \n",
" \n",
" count | \n",
" 244.000000 | \n",
" 244.000000 | \n",
" 244.000000 | \n",
"
\n",
" \n",
" mean | \n",
" 19.785943 | \n",
" 2.998279 | \n",
" 2.569672 | \n",
"
\n",
" \n",
" std | \n",
" 8.902412 | \n",
" 1.383638 | \n",
" 0.951100 | \n",
"
\n",
" \n",
" min | \n",
" 3.070000 | \n",
" 1.000000 | \n",
" 1.000000 | \n",
"
\n",
" \n",
" 25% | \n",
" 13.347500 | \n",
" 2.000000 | \n",
" 2.000000 | \n",
"
\n",
" \n",
" 50% | \n",
" 17.795000 | \n",
" 2.900000 | \n",
" 2.000000 | \n",
"
\n",
" \n",
" 75% | \n",
" 24.127500 | \n",
" 3.562500 | \n",
" 3.000000 | \n",
"
\n",
" \n",
" max | \n",
" 50.810000 | \n",
" 10.000000 | \n",
" 6.000000 | \n",
"
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" \n",
"
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"
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"
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" \n",
" \n",
"\n",
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" "
],
"text/plain": [
" total_bill tip size\n",
"count 244.000000 244.000000 244.000000\n",
"mean 19.785943 2.998279 2.569672\n",
"std 8.902412 1.383638 0.951100\n",
"min 3.070000 1.000000 1.000000\n",
"25% 13.347500 2.000000 2.000000\n",
"50% 17.795000 2.900000 2.000000\n",
"75% 24.127500 3.562500 3.000000\n",
"max 50.810000 10.000000 6.000000"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Estatísticas descritivas dos dados\n",
"tips.describe()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "CHSutv-PeOEM",
"outputId": "93579548-4f07-4af9-8249-2327d1c50565"
},
"outputs": [
{
"data": {
"text/plain": [
"4827.77"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Qual a receita total das vendas do restaurante?\n",
"tips['total_bill'].sum()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "WlMEnXmOfAtm",
"outputId": "80a743f1-b1f1-4211-ef5c-488b9519c0b8"
},
"outputs": [
{
"data": {
"text/plain": [
"731.5799999999999"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Qual o total de gorjetas recebidas?\n",
"tips['tip'].sum()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "BPN0iGHIhn7T",
"outputId": "07ad980a-c9f4-426d-aa6d-7a60cc609f48"
},
"outputs": [
{
"data": {
"text/plain": [
"731.58"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Total de gorjetas recebidas com arredondamento em 2 casas decimais\n",
"round(tips['tip'].sum(), 2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "XEKTuqS1fXiL"
},
"outputs": [],
"source": [
"# Qual o custo de uma refeição por pessoa?\n",
"tips['price_per_person'] = tips['total_bill'] / tips['size']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "HohRvTVUfvNl",
"outputId": "4c4863b6-538f-4271-d354-b55f0284237e"
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"
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"
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"\n",
"
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" \n",
" \n",
" | \n",
" total_bill | \n",
" tip | \n",
" sex | \n",
" smoker | \n",
" day | \n",
" time | \n",
" size | \n",
" price_per_person | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 16.99 | \n",
" 1.01 | \n",
" Female | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 2 | \n",
" 8.495000 | \n",
"
\n",
" \n",
" 1 | \n",
" 10.34 | \n",
" 1.66 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 3 | \n",
" 3.446667 | \n",
"
\n",
" \n",
" 2 | \n",
" 21.01 | \n",
" 3.50 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 3 | \n",
" 7.003333 | \n",
"
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" \n",
" 3 | \n",
" 23.68 | \n",
" 3.31 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 2 | \n",
" 11.840000 | \n",
"
\n",
" \n",
" 4 | \n",
" 24.59 | \n",
" 3.61 | \n",
" Female | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 4 | \n",
" 6.147500 | \n",
"
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" \n",
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" \n",
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"\n",
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"text/plain": [
" total_bill tip sex smoker day time size price_per_person\n",
"0 16.99 1.01 Female No Sun Dinner 2 8.495000\n",
"1 10.34 1.66 Male No Sun Dinner 3 3.446667\n",
"2 21.01 3.50 Male No Sun Dinner 3 7.003333\n",
"3 23.68 3.31 Male No Sun Dinner 2 11.840000\n",
"4 24.59 3.61 Female No Sun Dinner 4 6.147500"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tips.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "M38w8qk7hPfb"
},
"outputs": [],
"source": [
"# Qual a porcentagem da conta equivale a gorjeta?\n",
"tips['bill_percentage'] = tips['tip'] / tips['total_bill']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "aQZd0mzeiRu3",
"outputId": "9c815e67-2312-4716-9791-82c3cce0fb1c"
},
"outputs": [
{
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"\n",
" \n",
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"\n",
"
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" \n",
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" | \n",
" total_bill | \n",
" tip | \n",
" sex | \n",
" smoker | \n",
" day | \n",
" time | \n",
" size | \n",
" price_per_person | \n",
" bill_percentage | \n",
"
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" \n",
" \n",
" \n",
" 0 | \n",
" 16.99 | \n",
" 1.01 | \n",
" Female | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 2 | \n",
" 8.495000 | \n",
" 0.059447 | \n",
"
\n",
" \n",
" 1 | \n",
" 10.34 | \n",
" 1.66 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 3 | \n",
" 3.446667 | \n",
" 0.160542 | \n",
"
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" \n",
" 2 | \n",
" 21.01 | \n",
" 3.50 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 3 | \n",
" 7.003333 | \n",
" 0.166587 | \n",
"
\n",
" \n",
" 3 | \n",
" 23.68 | \n",
" 3.31 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 2 | \n",
" 11.840000 | \n",
" 0.139780 | \n",
"
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" \n",
" 4 | \n",
" 24.59 | \n",
" 3.61 | \n",
" Female | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 4 | \n",
" 6.147500 | \n",
" 0.146808 | \n",
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"
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" \n",
" \n",
"\n",
" \n",
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" "
],
"text/plain": [
" total_bill tip sex smoker day time size price_per_person \\\n",
"0 16.99 1.01 Female No Sun Dinner 2 8.495000 \n",
"1 10.34 1.66 Male No Sun Dinner 3 3.446667 \n",
"2 21.01 3.50 Male No Sun Dinner 3 7.003333 \n",
"3 23.68 3.31 Male No Sun Dinner 2 11.840000 \n",
"4 24.59 3.61 Female No Sun Dinner 4 6.147500 \n",
"\n",
" bill_percentage \n",
"0 0.059447 \n",
"1 0.160542 \n",
"2 0.166587 \n",
"3 0.139780 \n",
"4 0.146808 "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tips.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 143
},
"id": "6QsyMfYQlOfE",
"outputId": "33340d88-c905-4c2e-8437-810899cb621f"
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" total_bill | \n",
" tip | \n",
" size | \n",
" price_per_person | \n",
" bill_percentage | \n",
"
\n",
" \n",
" sex | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
"
\n",
" \n",
" \n",
" \n",
" Female | \n",
" 18.056897 | \n",
" 2.833448 | \n",
" 2.459770 | \n",
" 7.463918 | \n",
" 0.166491 | \n",
"
\n",
" \n",
" Male | \n",
" 20.744076 | \n",
" 3.089618 | \n",
" 2.630573 | \n",
" 8.123358 | \n",
" 0.157651 | \n",
"
\n",
" \n",
"
\n",
"
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"
\n",
" \n",
" \n",
"\n",
" \n",
"
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"
\n",
" "
],
"text/plain": [
" total_bill tip size price_per_person bill_percentage\n",
"sex \n",
"Female 18.056897 2.833448 2.459770 7.463918 0.166491\n",
"Male 20.744076 3.089618 2.630573 8.123358 0.157651"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Média das gorjetas por sexo do garçom\n",
"tips.groupby('sex').mean()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 143
},
"id": "z40MhqUIloYX",
"outputId": "bc82fd86-a45f-4eda-ad22-c739b869f450"
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" total_bill | \n",
" tip | \n",
" size | \n",
" price_per_person | \n",
" bill_percentage | \n",
"
\n",
" \n",
" time | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
"
\n",
" \n",
" \n",
" \n",
" Dinner | \n",
" 20.797159 | \n",
" 3.102670 | \n",
" 2.630682 | \n",
" 8.109560 | \n",
" 0.159518 | \n",
"
\n",
" \n",
" Lunch | \n",
" 17.168676 | \n",
" 2.728088 | \n",
" 2.411765 | \n",
" 7.315375 | \n",
" 0.164128 | \n",
"
\n",
" \n",
"
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"
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"
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" \n",
" \n",
"\n",
" \n",
"
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"
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" "
],
"text/plain": [
" total_bill tip size price_per_person bill_percentage\n",
"time \n",
"Dinner 20.797159 3.102670 2.630682 8.109560 0.159518\n",
"Lunch 17.168676 2.728088 2.411765 7.315375 0.164128"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Média das gorjetas por tipo de refeição\n",
"tips.groupby('time').mean()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "GHdyTx_LtM5n",
"outputId": "5ba3794b-a5f7-4a42-8074-c0aea7049e85"
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"
\n",
"
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"\n",
"
\n",
" \n",
" \n",
" | \n",
" total_bill | \n",
" tip | \n",
" size | \n",
" price_per_person | \n",
" bill_percentage | \n",
"
\n",
" \n",
" day | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
"
\n",
" \n",
" \n",
" \n",
" Fri | \n",
" 17.151579 | \n",
" 2.734737 | \n",
" 2.105263 | \n",
" 8.132851 | \n",
" 0.169913 | \n",
"
\n",
" \n",
" Sat | \n",
" 20.441379 | \n",
" 2.993103 | \n",
" 2.517241 | \n",
" 8.187232 | \n",
" 0.153152 | \n",
"
\n",
" \n",
" Sun | \n",
" 21.410000 | \n",
" 3.255132 | \n",
" 2.842105 | \n",
" 7.864024 | \n",
" 0.166897 | \n",
"
\n",
" \n",
" Thur | \n",
" 17.682742 | \n",
" 2.771452 | \n",
" 2.451613 | \n",
" 7.423368 | \n",
" 0.161276 | \n",
"
\n",
" \n",
"
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"
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" \n",
" \n",
"\n",
" \n",
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" "
],
"text/plain": [
" total_bill tip size price_per_person bill_percentage\n",
"day \n",
"Fri 17.151579 2.734737 2.105263 8.132851 0.169913\n",
"Sat 20.441379 2.993103 2.517241 8.187232 0.153152\n",
"Sun 21.410000 3.255132 2.842105 7.864024 0.166897\n",
"Thur 17.682742 2.771452 2.451613 7.423368 0.161276"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Média das gorjetas por dia da semana\n",
"tips.groupby('day').mean()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YdRwEoMUtq-H",
"outputId": "29e840bc-8d32-412f-c0b8-6d0ce7e59abc"
},
"outputs": [
{
"data": {
"text/plain": [
"total_bill 0\n",
"tip 0\n",
"sex 0\n",
"smoker 0\n",
"day 0\n",
"time 0\n",
"size 0\n",
"price_per_person 0\n",
"bill_percentage 0\n",
"dtype: int64"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Verificar dados ausentes na base de dados\n",
"tips.isnull().sum()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "p4KUIVbSuLBv",
"outputId": "c1b75c6c-9d9d-4f69-b11d-f67e865a62d6"
},
"outputs": [
{
"data": {
"text/plain": [
"day sex \n",
"Fri Female 127.31\n",
" Male 198.57\n",
"Sat Female 551.05\n",
" Male 1227.35\n",
"Sun Female 357.70\n",
" Male 1269.46\n",
"Thur Female 534.89\n",
" Male 561.44\n",
"Name: total_bill, dtype: float64"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Calcular receitas totais por dia de semana e sexo do garçom\n",
"tips.groupby(['day', 'sex'])['total_bill'].sum()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 300
},
"id": "6fIExxpqv-mq",
"outputId": "6b310380-276b-4b87-bc6b-80743783fb42"
},
"outputs": [
{
"data": {
"text/html": [
"\n",
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"text/plain": [
" day sex total_bill\n",
"0 Fri Female 127.31\n",
"1 Fri Male 198.57\n",
"2 Sat Female 551.05\n",
"3 Sat Male 1227.35\n",
"4 Sun Female 357.70\n",
"5 Sun Male 1269.46\n",
"6 Thur Female 534.89\n",
"7 Thur Male 561.44"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Resetar o index (permite salvar base em outro csv)\n",
"tips.groupby(['day', 'sex'])['total_bill'].sum().reset_index()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 404
},
"id": "9n7Xqj4gw61g",
"outputId": "64a31bed-ab37-4a63-8454-73d21f3b06da"
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Receita')"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plotar gráfico de receitas por dia da semana e sexo\n",
"tips.groupby(['day'])['total_bill'].sum().plot.bar(title='Receitas por dia da semana')\n",
"plt.xlabel(\"Dia da Semana\")\n",
"plt.ylabel(\"Receita\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "1Uqj_VRJxxaH",
"outputId": "52e1ee33-7a75-4cff-ca1d-cb4834ae3bb2"
},
"outputs": [
{
"data": {
"text/plain": [
"day\n",
"Fri 325.88\n",
"Sat 1778.40\n",
"Sun 1627.16\n",
"Thur 1096.33\n",
"Name: total_bill, dtype: float64"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tips.groupby(['day'])['total_bill'].sum()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 404
},
"id": "uYqjO-D5yL6l",
"outputId": "8266e1b1-d368-41a5-ddbf-120e27fd192e"
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Gorjeta')"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plotar gráfico de gorjetas por dia da semana\n",
"tips.groupby(['day'])['tip'].sum().plot.bar(title='Gorjetas por dia da semana')\n",
"plt.xlabel(\"Dia da Semana\")\n",
"plt.ylabel(\"Gorjeta\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "C9Ts-OalyUuF",
"outputId": "d4c563e5-01fe-4433-da01-3d8d394edbf0"
},
"outputs": [
{
"data": {
"text/plain": [
"day\n",
"Fri 51.96\n",
"Sat 260.40\n",
"Sun 247.39\n",
"Thur 171.83\n",
"Name: tip, dtype: float64"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tips.groupby(['day'])['tip'].sum()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 390
},
"id": "VgfcupASynG3",
"outputId": "2ce7c708-d114-4575-bcb2-e3ccdd3de605"
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Receitas')"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plotar gráfico de receitas por tamanho dos grupos\n",
"tips.groupby(['size'])['total_bill'].sum().plot.bar(title='Receitas Totais por Tamanho dos Grupos')\n",
"plt.xlabel(\"Tamanho do Grupo em Número de Pessoas\")\n",
"plt.ylabel(\"Receitas\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 390
},
"id": "CU4a9EmfzLwy",
"outputId": "a106510c-7c89-45bd-a49d-c15069d8764d"
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Receitas')"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plotar médias de receitas por tamanho dos grupos\n",
"tips.groupby(['size'])['total_bill'].mean().plot.bar(title='Média das Receitas por Tamanho dos Grupos')\n",
"plt.xlabel(\"Tamanho do Grupo em Número de Pessoas\")\n",
"plt.ylabel(\"Receitas\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "_5qhzb4Vzl5j",
"outputId": "b68fd23e-2a28-46bb-8f08-77703437a758"
},
"outputs": [
{
"data": {
"text/plain": [
"size\n",
"1 7.242500\n",
"2 16.448013\n",
"3 23.277632\n",
"4 28.613514\n",
"5 30.068000\n",
"6 34.830000\n",
"Name: total_bill, dtype: float64"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tips.groupby(['size'])['total_bill'].mean()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 347
},
"id": "9c3WTUEK0KCY",
"outputId": "81e666f5-91d8-477e-83e5-16097c0eaf0e"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Boxplot das receitas\n",
"plt.boxplot(tips['total_bill'])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 347
},
"id": "8CJj0BP90mzk",
"outputId": "48e87bfe-6a5a-4dc4-dbd8-12e71ec8d496"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Histograma das receitas\n",
"plt.hist(tips['total_bill'])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 347
},
"id": "L-6pBR9_0eW5",
"outputId": "01c97bfa-ea73-49b9-907c-9f0e6eed5c8f"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Boxplot das gorjetas\n",
"plt.boxplot(tips['tip'])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "6YeKe5TJ1I_y",
"outputId": "064e3b5d-f60b-41ae-8a65-3f3420cade53"
},
"outputs": [
{
"data": {
"text/plain": [
"1.0"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Menor gorjeta\n",
"tips['tip'].min()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "bRE49_BP1RDK",
"outputId": "44ebf607-44df-4174-c126-3960578544a1"
},
"outputs": [
{
"data": {
"text/plain": [
"10.0"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Maior gorjeta\n",
"tips['tip'].max()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 81
},
"id": "Irtbbyr41XmF",
"outputId": "f3e65047-7dfe-4417-b5c5-17d6001577b7"
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" total_bill | \n",
" tip | \n",
" sex | \n",
" smoker | \n",
" day | \n",
" time | \n",
" size | \n",
" price_per_person | \n",
" bill_percentage | \n",
"
\n",
" \n",
" \n",
" \n",
" 170 | \n",
" 50.81 | \n",
" 10.0 | \n",
" Male | \n",
" Yes | \n",
" Sat | \n",
" Dinner | \n",
" 3 | \n",
" 16.936667 | \n",
" 0.196812 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"
\n",
" \n",
" \n",
"\n",
" \n",
"
\n",
"
\n",
" "
],
"text/plain": [
" total_bill tip sex smoker day time size price_per_person \\\n",
"170 50.81 10.0 Male Yes Sat Dinner 3 16.936667 \n",
"\n",
" bill_percentage \n",
"170 0.196812 "
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Identificar Outlier\n",
"tips[tips['tip'] == 10.0]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "nWzqQIMO2FkC"
},
"outputs": [],
"source": [
"# Salvar base de dados\n",
"tips.to_csv('tips_new.csv', index=False)"
]
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3.10.6 64-bit",
"language": "python",
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.10.6"
},
"vscode": {
"interpreter": {
"hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
}
}
},
"nbformat": 4,
"nbformat_minor": 0
}