Histogram_BoxPlot.ipynb

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  "metadata": {
    "colab": {
      "name": "Histogram_BoxPlot.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyPHrn4ca7spdhLWDh2aUQv4",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/lucaslattari/HistogramsAndBoxPlots/blob/master/Histogram_BoxPlot.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fOMnjZ8Jxdf3",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ff0Ogx_gyKEV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5C0g3jkFy_cV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df = pd.read_csv(\"https://raw.githubusercontent.com/lucaslattari/HistogramsAndBoxPlots/master/marvel_vs_dc.csv\")\n",
        "\n",
        "#Renomeei a coluna Rate para IMDB e Metascore para Metacritic\n",
        "df = df.rename(columns = {\"Rate\": \"IMDB\", \"Metascore\": \"Metacritic\"}) \n",
        "\n",
        "#Multipliquei pra célula de notas do IMDB (Rate) ficar na escala de 0 a 100 igual a do Metacritic\n",
        "df[\"IMDB\"] = 10 * df[\"IMDB\"]\n",
        "\n",
        "#Remove primeira coluna\n",
        "df = df.drop(df.columns[0], axis=1)\n",
        "\n",
        "#Converti as colunas com valores para inteiro\n",
        "df[\"IMDB\"] = df[\"IMDB\"].astype(int)\n",
        "df[\"Budget\"] = df[\"Budget\"].astype(int)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5bpMD_LUkZU1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "780b7d2c-da45-4e03-e379-966ae7d2def5"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Original Title</th>\n",
              "      <th>Company</th>\n",
              "      <th>IMDB</th>\n",
              "      <th>Metacritic</th>\n",
              "      <th>Minutes</th>\n",
              "      <th>Release</th>\n",
              "      <th>Budget</th>\n",
              "      <th>Opening Weekend USA</th>\n",
              "      <th>Gross USA</th>\n",
              "      <th>Gross Worldwide</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Iron Man</td>\n",
              "      <td>Marvel</td>\n",
              "      <td>79</td>\n",
              "      <td>79</td>\n",
              "      <td>126</td>\n",
              "      <td>2008</td>\n",
              "      <td>140000000</td>\n",
              "      <td>98618668</td>\n",
              "      <td>318604126</td>\n",
              "      <td>585366247</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>The Incredible Hulk</td>\n",
              "      <td>Marvel</td>\n",
              "      <td>67</td>\n",
              "      <td>61</td>\n",
              "      <td>112</td>\n",
              "      <td>2008</td>\n",
              "      <td>150000000</td>\n",
              "      <td>55414050</td>\n",
              "      <td>134806913</td>\n",
              "      <td>263427551</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Iron Man 2</td>\n",
              "      <td>Marvel</td>\n",
              "      <td>70</td>\n",
              "      <td>57</td>\n",
              "      <td>124</td>\n",
              "      <td>2010</td>\n",
              "      <td>200000000</td>\n",
              "      <td>128122480</td>\n",
              "      <td>312433331</td>\n",
              "      <td>623933331</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Thor</td>\n",
              "      <td>Marvel</td>\n",
              "      <td>70</td>\n",
              "      <td>57</td>\n",
              "      <td>115</td>\n",
              "      <td>2011</td>\n",
              "      <td>150000000</td>\n",
              "      <td>65723338</td>\n",
              "      <td>181030624</td>\n",
              "      <td>449326618</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Captain America: The First Avenger</td>\n",
              "      <td>Marvel</td>\n",
              "      <td>69</td>\n",
              "      <td>66</td>\n",
              "      <td>124</td>\n",
              "      <td>2011</td>\n",
              "      <td>140000000</td>\n",
              "      <td>65058524</td>\n",
              "      <td>176654505</td>\n",
              "      <td>370569774</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                       Original Title Company  ...  Gross USA  Gross Worldwide\n",
              "0                            Iron Man  Marvel  ...  318604126        585366247\n",
              "1                 The Incredible Hulk  Marvel  ...  134806913        263427551\n",
              "2                          Iron Man 2  Marvel  ...  312433331        623933331\n",
              "3                                Thor  Marvel  ...  181030624        449326618\n",
              "4  Captain America: The First Avenger  Marvel  ...  176654505        370569774\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JUnT3cVF2J6I",
        "colab_type": "text"
      },
      "source": [
        "# Histograma com a Pandas e Matplotlib"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UNxN55Vz-PIm",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Essa célula serve apenas para definir o estilo visual dos gráficos (tem outros nesse link aqui: https://matplotlib.org/3.1.0/gallery/style_sheets/style_sheets_reference.html)\n",
        "plt.style.use(\"dark_background\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7bAYfthFpQSR",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "outputId": "4014ec8a-7477-422a-98f6-f1cbc6fd1b7f"
      },
      "source": [
        "#Criação do Histograma do Orçamento dos Filmes\n",
        "df['Budget'].plot.hist(bins=12)\n",
        "\n",
        "plt.title('Orçamento de Filmes de Herói', fontsize=18)\n",
        "plt.xlabel('Dólares (em 100 milhões)', fontsize=16)\n",
        "plt.ylabel('Filmes', fontsize=16)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Kk3Bzutl2Joy",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 301
        },
        "outputId": "7c473d5f-2f22-4ec3-ae11-fbcc9a1e7556"
      },
      "source": [
        "#Criação do Histograma de Notas (IMDB e Metacritic)\n",
        "df[['IMDB', 'Metacritic']].plot.hist(bins=10, color = [\"red\", 'blue'], alpha = 0.25)\n",
        "\n",
        "plt.title('Avaliação de Filmes de Herói', fontsize=18)\n",
        "plt.xlabel('Notas', fontsize=16)\n",
        "plt.ylabel('Filmes', fontsize=16)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D4jmUwbwse54",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Criando dataframe só com os dados que precisamos\n",
        "money_cols = ['Opening Weekend USA', 'Gross\\xa0USA', 'Gross Worldwide']\n",
        "money_df = pd.DataFrame(df, columns=money_cols)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p1XXMqm_s7k2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 543
        },
        "outputId": "3b578fe9-976b-4f0a-ff4e-0d43434488c6"
      },
      "source": [
        "#Criação de vários Histogramas com a Arrecadação dos Filmes\n",
        "fig = plt.figure(figsize = (8,8))\n",
        "ax = fig.gca()\n",
        "money_df.hist(ax=ax)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:4: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared\n",
            "  after removing the cwd from sys.path.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x576 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fwAYirWGvEiF",
        "colab_type": "text"
      },
      "source": [
        "# Box Plot com a Pandas, Seaborn e Matplotlib"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1RJ2M7Utv0ir",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Essa célula serve apenas para definir o estilo visual dos gráficos (tem outros nesse link aqui: https://matplotlib.org/3.1.0/gallery/style_sheets/style_sheets_reference.html)\n",
        "plt.style.use(\"bmh\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2Q4alGg-vGVc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "outputId": "ffd121c6-2860-43f7-a854-6bc29a419add"
      },
      "source": [
        "#Criação do Box Plot do Orçamento dos Filmes\n",
        "df['Budget'].plot.box(grid=True)\n",
        "\n",
        "plt.title('Orçamento de Filmes de Herói', fontsize=18)\n",
        "plt.ylabel('Dólares (100 milhões)', fontsize=16)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hg2qOxoc2Lx_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "13a5e228-69f2-4487-d63b-194f02f6a750"
      },
      "source": [
        "#Dados relevantes pro box plot\n",
        "df.describe().astype(int)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>IMDB</th>\n",
              "      <th>Metacritic</th>\n",
              "      <th>Release</th>\n",
              "      <th>Budget</th>\n",
              "      <th>Opening Weekend USA</th>\n",
              "      <th>Gross USA</th>\n",
              "      <th>Gross Worldwide</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>39</td>\n",
              "      <td>39</td>\n",
              "      <td>39</td>\n",
              "      <td>39</td>\n",
              "      <td>39</td>\n",
              "      <td>39</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>72</td>\n",
              "      <td>63</td>\n",
              "      <td>2013</td>\n",
              "      <td>184102564</td>\n",
              "      <td>115109770</td>\n",
              "      <td>323265922</td>\n",
              "      <td>827572676</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>10</td>\n",
              "      <td>13</td>\n",
              "      <td>4</td>\n",
              "      <td>64410196</td>\n",
              "      <td>68667078</td>\n",
              "      <td>180708575</td>\n",
              "      <td>533231804</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>33</td>\n",
              "      <td>27</td>\n",
              "      <td>2004</td>\n",
              "      <td>47000000</td>\n",
              "      <td>5379365</td>\n",
              "      <td>10547117</td>\n",
              "      <td>10903312</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>69</td>\n",
              "      <td>56</td>\n",
              "      <td>2011</td>\n",
              "      <td>150000000</td>\n",
              "      <td>65390931</td>\n",
              "      <td>203221666</td>\n",
              "      <td>484319291</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>73</td>\n",
              "      <td>67</td>\n",
              "      <td>2015</td>\n",
              "      <td>175000000</td>\n",
              "      <td>96202337</td>\n",
              "      <td>318604126</td>\n",
              "      <td>746846894</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>78</td>\n",
              "      <td>72</td>\n",
              "      <td>2017</td>\n",
              "      <td>210000000</td>\n",
              "      <td>155922453</td>\n",
              "      <td>408549171</td>\n",
              "      <td>1104658040</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>90</td>\n",
              "      <td>88</td>\n",
              "      <td>2019</td>\n",
              "      <td>356000000</td>\n",
              "      <td>357115007</td>\n",
              "      <td>858373000</td>\n",
              "      <td>2797800564</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       IMDB  Metacritic  ...  Gross USA  Gross Worldwide\n",
              "count    39          39  ...         39               39\n",
              "mean     72          63  ...  323265922        827572676\n",
              "std      10          13  ...  180708575        533231804\n",
              "min      33          27  ...   10547117         10903312\n",
              "25%      69          56  ...  203221666        484319291\n",
              "50%      73          67  ...  318604126        746846894\n",
              "75%      78          72  ...  408549171       1104658040\n",
              "max      90          88  ...  858373000       2797800564\n",
              "\n",
              "[8 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7eSYwdli0qjI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "outputId": "eaa2ada1-b686-434e-fa90-bdd204f6c48d"
      },
      "source": [
        "#Criação do Box Plot anterior com a Seaborn\n",
        "sns.boxplot(x=df[\"Budget\"]);\n",
        "plt.title('Orçamento de Filmes de Herói', fontsize=18)\n",
        "plt.xlabel('Dólares (100 milhões)', fontsize=16)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GsCdxDUBv9ij",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 111
        },
        "outputId": "217ce4ab-50d7-491e-ed6d-354609b5e3d8"
      },
      "source": [
        "#Quem são esses outliers (mínimo)?\n",
        "is_min_outlier = df['Budget'] < 100000000\n",
        "\n",
        "df[is_min_outlier]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Original Title</th>\n",
              "      <th>Company</th>\n",
              "      <th>IMDB</th>\n",
              "      <th>Metacritic</th>\n",
              "      <th>Minutes</th>\n",
              "      <th>Release</th>\n",
              "      <th>Budget</th>\n",
              "      <th>Opening Weekend USA</th>\n",
              "      <th>Gross USA</th>\n",
              "      <th>Gross Worldwide</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Jonah Hex</td>\n",
              "      <td>DC</td>\n",
              "      <td>47</td>\n",
              "      <td>33</td>\n",
              "      <td>81</td>\n",
              "      <td>2010</td>\n",
              "      <td>47000000</td>\n",
              "      <td>5379365</td>\n",
              "      <td>10547117</td>\n",
              "      <td>10903312</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>Joker</td>\n",
              "      <td>DC</td>\n",
              "      <td>87</td>\n",
              "      <td>59</td>\n",
              "      <td>122</td>\n",
              "      <td>2019</td>\n",
              "      <td>55000000</td>\n",
              "      <td>96202337</td>\n",
              "      <td>333204580</td>\n",
              "      <td>1060504580</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Original Title Company  ...  Gross USA  Gross Worldwide\n",
              "28     Jonah Hex       DC  ...   10547117         10903312\n",
              "38          Joker      DC  ...  333204580       1060504580\n",
              "\n",
              "[2 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "64MJ8C8-w_cE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 111
        },
        "outputId": "861a7a89-c329-490b-f6d9-46fe20f0b740"
      },
      "source": [
        "#Quem são esses outliers (máximo)?\n",
        "is_max_outlier = df['Budget'] > 300000000\n",
        "\n",
        "df[is_max_outlier]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Original Title</th>\n",
              "      <th>Company</th>\n",
              "      <th>IMDB</th>\n",
              "      <th>Metacritic</th>\n",
              "      <th>Minutes</th>\n",
              "      <th>Release</th>\n",
              "      <th>Budget</th>\n",
              "      <th>Opening Weekend USA</th>\n",
              "      <th>Gross USA</th>\n",
              "      <th>Gross Worldwide</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Avengers: Infinity War</td>\n",
              "      <td>Marvel</td>\n",
              "      <td>85</td>\n",
              "      <td>68</td>\n",
              "      <td>149</td>\n",
              "      <td>2018</td>\n",
              "      <td>321000000</td>\n",
              "      <td>257698183</td>\n",
              "      <td>678815482</td>\n",
              "      <td>2048359754</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Avengers: Endgame</td>\n",
              "      <td>Marvel</td>\n",
              "      <td>85</td>\n",
              "      <td>78</td>\n",
              "      <td>181</td>\n",
              "      <td>2019</td>\n",
              "      <td>356000000</td>\n",
              "      <td>357115007</td>\n",
              "      <td>858373000</td>\n",
              "      <td>2797800564</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Original Title Company  ...  Gross USA  Gross Worldwide\n",
              "18  Avengers: Infinity War  Marvel  ...  678815482       2048359754\n",
              "21       Avengers: Endgame  Marvel  ...  858373000       2797800564\n",
              "\n",
              "[2 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J3wiqto_x4wB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "outputId": "f21e83a0-f059-4539-e75a-cc67726d7001"
      },
      "source": [
        "#Múltiplos Boxplot de Arrecadação\n",
        "df[['Opening Weekend USA', 'Gross\\xa0USA', 'Gross Worldwide']].boxplot(vert=False)\n",
        "\n",
        "plt.title('Orçamento de Filmes de Herói', fontsize=18)\n",
        "plt.xlabel('Dólares (em bilhões)', fontsize=16)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "erXM3Q7e1D3Q",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "outputId": "3634a3e5-a548-4360-eb54-16879f32d354"
      },
      "source": [
        "#Recriação de múltiplos box plot com a Seaborn\n",
        "sns.boxplot(data = df[['Opening Weekend USA', 'Gross\\xa0USA', 'Gross Worldwide']], orient = 'h');\n",
        "\n",
        "plt.title('Orçamento de Filmes de Herói', fontsize=18)\n",
        "plt.xlabel('Dólares (em bilhões)', fontsize=16)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K4gfTUU5AYvt",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 729
        },
        "outputId": "b0917836-3f62-433b-b1c4-c44402ffdbd7"
      },
      "source": [
        "fig, axes = plt.subplots(2, 2, figsize = (16, 10))\n",
        "\n",
        "sns.boxplot(x=\"Budget\", y=\"Company\", data=df, ax = axes[0, 0])\n",
        "sns.boxplot(x=\"Opening Weekend USA\", y=\"Company\", data=df, ax = axes[0, 1])\n",
        "sns.boxplot(x=\"Gross\\xa0USA\", y=\"Company\", data=df, ax = axes[1, 0])\n",
        "sns.boxplot(x=\"Gross Worldwide\", y=\"Company\", data=df, ax = axes[1, 1])\n",
        "\n",
        "fig.tight_layout()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}