DisneyMoviesAndDirectorsAnalysis.ipynb

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  "metadata": {
    "colab": {
      "name": "DisneyMoviesAndDirectorsAnalysis.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyPtruO1m7P3fe9W+KRseUiv",
      "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/uomodellamansarda/DisneyMoviesAnalysis/blob/main/DisneyMoviesAndDirectorsAnalysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7ShfbnOe7sbI"
      },
      "source": [
        "In this notebook I analyzed the following dataset: \n",
        "\n",
        "https://data.world/kgarrett/disney-character-success-00-16\n",
        "\n",
        "The dataset stores Disney characters, box office success & annual gross income. \n",
        "\n",
        "I made a first work evaluating if the dataset was missing relevant information or if between the three source there was any inconsistency . \n",
        "\n",
        "After this assessment, after I determinated the level of uncertainty related to the missing information, I identified the top 10 best selling films and the top 10 best selling directors and plotted.\n",
        "\n",
        "It is very important to highlight that authors of the dataset do not explain how inflation adjusted gross is computed and which value was used."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0H5ysUt6PS6e"
      },
      "source": [
        "#importing the libraries \n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "pd.set_option('display.max_columns', 5)\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.ticker as ticker"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VCKrFmThPjtr"
      },
      "source": [
        "#the url where the data are located \n",
        "url1=\"https://raw.githubusercontent.com/uomodellamansarda/DisneyMoviesAnalysis/main/disney_movies_total_gross.csv\"\n",
        "url2=\"https://raw.githubusercontent.com/uomodellamansarda/DisneyMoviesAnalysis/main/disney_revenue_1991-2016.csv\"\n",
        "url3=\"https://raw.githubusercontent.com/uomodellamansarda/DisneyMoviesAnalysis/main/disney-director.csv\"\n",
        "url4=\"https://raw.githubusercontent.com/uomodellamansarda/DisneyMoviesAnalysis/main/disney-voice-actors.csv\"\n",
        "#disney_movies_total_gross.csv\n",
        "df1=pd.read_csv(url1)\n",
        "#disney_corporation_revenue_1991-2016.csv\n",
        "#this dataframe contains movie+tv_network+Parks_Resorts+consumer_product_sales+interactive+videogames\n",
        "df2=pd.read_csv(url2)\n",
        "#directors\n",
        "df3=pd.read_csv(url3)\n",
        "#voice\n",
        "df4=pd.read_csv(url4)"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z1oz65RCPuqX",
        "outputId": "515eb2c5-d344-4a29-8c50-0542ccc19248",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#getting some information to understand \n",
        "#what kind of data cleaning work \n",
        "#I need to do\n",
        "print('df1 info')\n",
        "print(df1.info())\n",
        "print('df2 info')\n",
        "print(df2.info())\n",
        "print('df3 info')\n",
        "print(df3.info())\n",
        "print('df4 info')\n",
        "print(df4.info())\n",
        "print('df1 head')\n",
        "print(df1.head())\n",
        "print('df2 head')\n",
        "print(df2.head())\n",
        "print('df3 head')\n",
        "print(df3.head())\n",
        "print('\\n df3 tail')\n",
        "print(df3.head())\n",
        "print('df4 head')\n",
        "print(df4.head())\n"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "df1 info\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 579 entries, 0 to 578\n",
            "Data columns (total 6 columns):\n",
            " #   Column                    Non-Null Count  Dtype \n",
            "---  ------                    --------------  ----- \n",
            " 0   movie_title               579 non-null    object\n",
            " 1   release_date              579 non-null    object\n",
            " 2   genre                     562 non-null    object\n",
            " 3   MPAA_rating               523 non-null    object\n",
            " 4   total_gross               579 non-null    object\n",
            " 5   inflation_adjusted_gross  579 non-null    object\n",
            "dtypes: object(6)\n",
            "memory usage: 27.3+ KB\n",
            "None\n",
            "df2 info\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 26 entries, 0 to 25\n",
            "Data columns (total 7 columns):\n",
            " #   Column                           Non-Null Count  Dtype  \n",
            "---  ------                           --------------  -----  \n",
            " 0   Year                             26 non-null     int64  \n",
            " 1   Studio Entertainment[NI 1]       25 non-null     float64\n",
            " 2   Disney Consumer Products[NI 2]   24 non-null     float64\n",
            " 3   Disney Interactive[NI 3][Rev 1]  12 non-null     float64\n",
            " 4   Walt Disney Parks and Resorts    26 non-null     float64\n",
            " 5   Disney Media Networks            23 non-null     object \n",
            " 6   Total                            26 non-null     int64  \n",
            "dtypes: float64(4), int64(2), object(1)\n",
            "memory usage: 1.5+ KB\n",
            "None\n",
            "df3 info\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 56 entries, 0 to 55\n",
            "Data columns (total 2 columns):\n",
            " #   Column    Non-Null Count  Dtype \n",
            "---  ------    --------------  ----- \n",
            " 0   name      56 non-null     object\n",
            " 1   director  56 non-null     object\n",
            "dtypes: object(2)\n",
            "memory usage: 1.0+ KB\n",
            "None\n",
            "df4 info\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 935 entries, 0 to 934\n",
            "Data columns (total 3 columns):\n",
            " #   Column       Non-Null Count  Dtype \n",
            "---  ------       --------------  ----- \n",
            " 0   character    935 non-null    object\n",
            " 1   voice-actor  935 non-null    object\n",
            " 2   movie        935 non-null    object\n",
            "dtypes: object(3)\n",
            "memory usage: 22.0+ KB\n",
            "None\n",
            "df1 head\n",
            "                       movie_title  release_date  ...   total_gross  \\\n",
            "0  Snow White and the Seven Dwarfs  Dec 21, 1937  ...  $184,925,485   \n",
            "1                        Pinocchio   Feb 9, 1940  ...   $84,300,000   \n",
            "2                         Fantasia  Nov 13, 1940  ...   $83,320,000   \n",
            "3                Song of the South  Nov 12, 1946  ...   $65,000,000   \n",
            "4                       Cinderella  Feb 15, 1950  ...   $85,000,000   \n",
            "\n",
            "  inflation_adjusted_gross  \n",
            "0           $5,228,953,251  \n",
            "1           $2,188,229,052  \n",
            "2           $2,187,090,808  \n",
            "3           $1,078,510,579  \n",
            "4             $920,608,730  \n",
            "\n",
            "[5 rows x 6 columns]\n",
            "df2 head\n",
            "   Year  Studio Entertainment[NI 1]  ...  Disney Media Networks  Total\n",
            "0  1991                      2593.0  ...                    NaN   6111\n",
            "1  1992                      3115.0  ...                    NaN   7502\n",
            "2  1993                      3673.4  ...                    NaN   8529\n",
            "3  1994                      4793.0  ...                    359  10414\n",
            "4  1995                      6001.5  ...                    414  12525\n",
            "\n",
            "[5 rows x 7 columns]\n",
            "df3 head\n",
            "                              name        director\n",
            "0  Snow White and the Seven Dwarfs      David Hand\n",
            "1                        Pinocchio  Ben Sharpsteen\n",
            "2                         Fantasia    full credits\n",
            "3                            Dumbo  Ben Sharpsteen\n",
            "4                            Bambi      David Hand\n",
            "\n",
            " df3 tail\n",
            "                              name        director\n",
            "0  Snow White and the Seven Dwarfs      David Hand\n",
            "1                        Pinocchio  Ben Sharpsteen\n",
            "2                         Fantasia    full credits\n",
            "3                            Dumbo  Ben Sharpsteen\n",
            "4                            Bambi      David Hand\n",
            "df4 head\n",
            "        character      voice-actor                        movie\n",
            "0    Abby Mallard      Joan Cusack               Chicken Little\n",
            "1  Abigail Gabble     Monica Evans               The Aristocats\n",
            "2        Abis Mal  Jason Alexander          The Return of Jafar\n",
            "3             Abu     Frank Welker                      Aladdin\n",
            "4        Achilles             None  The Hunchback of Notre Dame\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lfEq3ymR_DGy"
      },
      "source": [
        "From this inspection I noticed that total_gross and inflation_adjusted_gross should be float and not object"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gDtoIHSQ-gts",
        "outputId": "7f601bc5-b692-4644-e7d0-21a2430230bd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "df2=df2.fillna(0)\n",
        "#removing the dollar sign from df1 colums\n",
        "df1=df1.apply(lambda x: x.str.strip('$') if x.dtype == \"object\" else x)\n",
        "#removing the comma from the numeric columns\n",
        "df1=df1.apply(lambda x: x.replace(',',\"\",regex=True) if x.dtype == \"object\" else x)\n",
        "#converting to numerig our columns (where it is possible)\n",
        "df1=df1.apply(lambda x: pd.to_numeric(x,errors=\"ignore\") if x.dtype == \"object\" else x)\n",
        "#removing from the disney media network the comma\n",
        "df2[\"Disney Media Networks\"]=df2[\"Disney Media Networks\"].replace(',','', regex=True)\n",
        "#converting to numerig our columns (where it is possible)\n",
        "df2[\"Disney Media Networks\"] = df2[\"Disney Media Networks\"].apply(pd.to_numeric)\n",
        "#Printing df info to evaluate \n",
        "#if everything works \n",
        "print(\"Df1 info\")\n",
        "print(df1.info())\n",
        "print(\"Df2 info\")\n",
        "print(df2.info())\n",
        "print(df2[\"Disney Media Networks\"].iloc[5])\n",
        "print(df2[\"Disney Media Networks\"])\n",
        "print(df1.tail(2))"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Df1 info\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 579 entries, 0 to 578\n",
            "Data columns (total 6 columns):\n",
            " #   Column                    Non-Null Count  Dtype \n",
            "---  ------                    --------------  ----- \n",
            " 0   movie_title               579 non-null    object\n",
            " 1   release_date              579 non-null    object\n",
            " 2   genre                     562 non-null    object\n",
            " 3   MPAA_rating               523 non-null    object\n",
            " 4   total_gross               579 non-null    int64 \n",
            " 5   inflation_adjusted_gross  579 non-null    int64 \n",
            "dtypes: int64(2), object(4)\n",
            "memory usage: 27.3+ KB\n",
            "None\n",
            "Df2 info\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 26 entries, 0 to 25\n",
            "Data columns (total 7 columns):\n",
            " #   Column                           Non-Null Count  Dtype  \n",
            "---  ------                           --------------  -----  \n",
            " 0   Year                             26 non-null     int64  \n",
            " 1   Studio Entertainment[NI 1]       26 non-null     float64\n",
            " 2   Disney Consumer Products[NI 2]   26 non-null     float64\n",
            " 3   Disney Interactive[NI 3][Rev 1]  26 non-null     float64\n",
            " 4   Walt Disney Parks and Resorts    26 non-null     float64\n",
            " 5   Disney Media Networks            26 non-null     int64  \n",
            " 6   Total                            26 non-null     int64  \n",
            "dtypes: float64(4), int64(3)\n",
            "memory usage: 1.5 KB\n",
            "None\n",
            "4142\n",
            "0         0\n",
            "1         0\n",
            "2         0\n",
            "3       359\n",
            "4       414\n",
            "5      4142\n",
            "6      6522\n",
            "7      7142\n",
            "8      7512\n",
            "9      9615\n",
            "10     9569\n",
            "11     9733\n",
            "12    10941\n",
            "13    11778\n",
            "14    13207\n",
            "15    14368\n",
            "16    15046\n",
            "17    15857\n",
            "18    16209\n",
            "19    17162\n",
            "20    18714\n",
            "21    19436\n",
            "22    20356\n",
            "23    21152\n",
            "24    23264\n",
            "25    23689\n",
            "Name: Disney Media Networks, dtype: int64\n",
            "                      movie_title release_date  ... total_gross  \\\n",
            "577                         Moana  Nov 23 2016  ...   246082029   \n",
            "578  Rogue One: A Star Wars Story  Dec 16 2016  ...   529483936   \n",
            "\n",
            "    inflation_adjusted_gross  \n",
            "577                246082029  \n",
            "578                529483936  \n",
            "\n",
            "[2 rows x 6 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0vDfr7T7Bln5"
      },
      "source": [
        "Before evaluating best selling directors, I must understand if the two dataframes contain the same informations. \n",
        "\n",
        "In an ideal situation (or with a good data source)\n",
        "the dataframe containing moving gross revenues info and the dataframe containing the list of the movie directors <b>should be</b> the same"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HQtD1IXF7CnC",
        "outputId": "5d040b72-0bc9-465d-9ed0-6f15a13a56e4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#we can get info about number of movie title \n",
        "#in director and film revenues dataframe\n",
        "#get the sets of the two frames\n",
        "#evaluate their length\n",
        "#make our assessment \n",
        "print(\"Length movie revenues dataframe\")\n",
        "print(len(df1['movie_title']))\n",
        "print(\"Length movie directors dataframe\")\n",
        "print(len(df3['name']))\n",
        "print(\"Length movie revenues dataframe without possible duplicates\")\n",
        "print(len(set(df1['movie_title']))) \n",
        "print(\"Length movie directors dataframe without possible duplicates\")\n",
        "print(len(set(df3['name'])))\n"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Length movie revenues dataframe\n",
            "579\n",
            "Length movie directors dataframe\n",
            "56\n",
            "Length movie revenues dataframe without possible duplicates\n",
            "573\n",
            "Length movie directors dataframe without possible duplicates\n",
            "56\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xJcIVanoCqUO"
      },
      "source": [
        "Based on above results this is not an ideal situation :)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mrvVl2BK-S1d",
        "outputId": "a2d48874-7cd2-47c8-ad43-3fded2654310",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#Now It is possible to make an inner join \n",
        "#between the movie dataframe\n",
        "#and the director dataframe\n",
        "df_inner_join=df1.merge(df3, how='inner',right_on=\"name\",left_on='movie_title')\n",
        "#some film like Cinderella  101 Dalmatians and The jungle book\n",
        "#were distributed not only once\n",
        "#\n",
        "#df1_duplicated contains only the movies realeaced more than once \n",
        "#with the same title \n",
        "df1_duplicated=df1[df1.duplicated(['movie_title'], keep=\"first\")]\n",
        "#This set contains the name of the \"duplicated\" movie title  \n",
        "df1_duplicates_film_name=set(df1_duplicated['movie_title'])\n",
        "print(\"Info about duplicated df1\")\n",
        "print(df1_duplicated)\n",
        "print(\"\\n\")\n",
        "print('Info about df1_dupllicated set')\n",
        "print(df1_duplicates_film_name)\n",
        "print(\"\\n\")\n",
        "#Extracting from df3 the replicas that we found in df1\n",
        "df3_filt_df1=df3[df3['name'].isin(df1_duplicates_film_name)]\n",
        "print('\\n')\n",
        "print(\"Df3 filtered based on df1 duplicated movie names \\n\")\n",
        "print(df3_filt_df1)\n",
        "df3_duplicated=df3[df3.duplicated(['name'], keep=\"first\")]\n",
        "\n",
        "print(\"Are duplicates in df1 and df3 equal?\")\n",
        "print(len(df1_duplicates_film_name) == len(df3_duplicated)) \n",
        "print(\"\\n\")\n",
        "print(\"Df3 Duplicated\")\n",
        "print(df3_duplicated)\n",
        "print(\"\\n\")\n",
        "df_3_duplicated_distribution=df3[df3['name'].isin(df3_duplicated['name'])]\n",
        "print(\"Duplicated DF3 distribution\")\n",
        "print(df_3_duplicated_distribution)\n",
        "\n",
        "#undertanding the difference\n",
        "duplicated_distribution=df1[df1['movie_title'].isin(df1_duplicated['movie_title'])]\n",
        "#number of recplicas \n",
        "print(\"Number of Replicas from df1:\")\n",
        "print(len(duplicated_distribution))\n",
        "print(\"\\n\")\n",
        "print(\"DataFrame with the movies with more than one release through the years\")\n",
        "print(duplicated_distribution)\n",
        "print(\"How many movie title are unique and how many had more than one release?\")\n",
        "print(df1['movie_title'].duplicated().value_counts())\n"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Info about duplicated df1\n",
            "         movie_title release_date  ... total_gross inflation_adjusted_gross\n",
            "194  The Jungle Book  Dec 25 1994  ...    44342956                 88930321\n",
            "252   101 Dalmatians  Nov 27 1996  ...   136189294                258728898\n",
            "364      Bad Company   Jun 7 2002  ...    30157016                 43756218\n",
            "386    Freaky Friday   Aug 6 2003  ...   110222438                154090360\n",
            "556       Cinderella  Mar 13 2015  ...   201151353                201151353\n",
            "567  The Jungle Book  Apr 15 2016  ...   364001123                364001123\n",
            "\n",
            "[6 rows x 6 columns]\n",
            "\n",
            "\n",
            "Info about df1_dupllicated set\n",
            "{'Cinderella', 'Freaky Friday', 'The Jungle Book', '101 Dalmatians', 'Bad Company'}\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "Df3 filtered based on df1 duplicated movie names \n",
            "\n",
            "               name             director\n",
            "11       Cinderella      Wilfred Jackson\n",
            "16   101 Dalmatians  Wolfgang Reitherman\n",
            "18  The Jungle Book  Wolfgang Reitherman\n",
            "Are duplicates in df1 and df3 equal?\n",
            "False\n",
            "\n",
            "\n",
            "Df3 Duplicated\n",
            "Empty DataFrame\n",
            "Columns: [name, director]\n",
            "Index: []\n",
            "\n",
            "\n",
            "Duplicated DF3 distribution\n",
            "Empty DataFrame\n",
            "Columns: [name, director]\n",
            "Index: []\n",
            "Number of Replicas from df1:\n",
            "11\n",
            "\n",
            "\n",
            "DataFrame with the movies with more than one release through the years\n",
            "         movie_title release_date  ... total_gross inflation_adjusted_gross\n",
            "4         Cinderella  Feb 15 1950  ...    85000000                920608730\n",
            "8     101 Dalmatians  Jan 25 1961  ...   153000000               1362870985\n",
            "13   The Jungle Book  Oct 18 1967  ...   141843000                789612346\n",
            "19     Freaky Friday  Jan 21 1977  ...    25942000                 98067733\n",
            "194  The Jungle Book  Dec 25 1994  ...    44342956                 88930321\n",
            "196      Bad Company  Jan 20 1995  ...     3523909                  6829092\n",
            "252   101 Dalmatians  Nov 27 1996  ...   136189294                258728898\n",
            "364      Bad Company   Jun 7 2002  ...    30157016                 43756218\n",
            "386    Freaky Friday   Aug 6 2003  ...   110222438                154090360\n",
            "556       Cinderella  Mar 13 2015  ...   201151353                201151353\n",
            "567  The Jungle Book  Apr 15 2016  ...   364001123                364001123\n",
            "\n",
            "[11 rows x 6 columns]\n",
            "How many movie title are unique and how many had more than one release?\n",
            "False    573\n",
            "True       6\n",
            "Name: movie_title, dtype: int64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-2uJrLj6J_CD",
        "outputId": "0e3c8036-c0e7-413b-ce05-dc96d1e5acb4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#getting the value of the joined dataframe sorted\n",
        "df_inner_join=df_inner_join.sort_values(by=['inflation_adjusted_gross'],ascending=False)\n",
        "#printing some information after sorting the data\n",
        "print(df_inner_join[['director','movie_title','inflation_adjusted_gross','total_gross']].head(10))\n",
        "print(df_inner_join[['movie_title',\"release_date\"]].head(10))"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "               director                      movie_title  \\\n",
            "0            David Hand  Snow White and the Seven Dwarfs   \n",
            "1        Ben Sharpsteen                        Pinocchio   \n",
            "2          full credits                         Fantasia   \n",
            "7   Wolfgang Reitherman                   101 Dalmatians   \n",
            "5        Hamilton Luske               Lady and the Tramp   \n",
            "3       Wilfred Jackson                       Cinderella   \n",
            "10  Wolfgang Reitherman                  The Jungle Book   \n",
            "24         Roger Allers                    The Lion King   \n",
            "23         Ron Clements                          Aladdin   \n",
            "45           Chris Buck                           Frozen   \n",
            "\n",
            "    inflation_adjusted_gross  total_gross  \n",
            "0                 5228953251    184925485  \n",
            "1                 2188229052     84300000  \n",
            "2                 2187090808     83320000  \n",
            "7                 1362870985    153000000  \n",
            "5                 1236035515     93600000  \n",
            "3                  920608730     85000000  \n",
            "10                 789612346    141843000  \n",
            "24                 761640898    422780140  \n",
            "23                 441969178    217350219  \n",
            "45                 414997174    400738009  \n",
            "                        movie_title release_date\n",
            "0   Snow White and the Seven Dwarfs  Dec 21 1937\n",
            "1                         Pinocchio   Feb 9 1940\n",
            "2                          Fantasia  Nov 13 1940\n",
            "7                    101 Dalmatians  Jan 25 1961\n",
            "5                Lady and the Tramp  Jun 22 1955\n",
            "3                        Cinderella  Feb 15 1950\n",
            "10                  The Jungle Book  Oct 18 1967\n",
            "24                    The Lion King  Jun 15 1994\n",
            "23                          Aladdin  Nov 11 1992\n",
            "45                           Frozen  Nov 22 2013\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ge842UUzLr94"
      },
      "source": [
        "As you can see the DataFrame returned after the inner join is length 49. \n",
        "It is important to understand why is not 56. \n",
        "<p><b>Not only the list of directors was shorter compared with the movie list, but there are also some movies missing from the movie list! </b></p>\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e8wQHsj2pnDe",
        "outputId": "76e1d8d5-8569-40d9-faed-ea7b7e82c55b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#I need to understand why from the \n",
        "#the inner join returned a df 49rows long and not 56\n",
        "#and wich movie titles are missing \n",
        "name_df3_set=set(df3.name)\n",
        "name_dfj_set=set(df_inner_join.name)\n",
        "diff=name_df3_set-name_dfj_set\n",
        "print(\"The number of missing movies excluted from the directors df after the join is:\",len(diff))\n",
        "print(diff)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The number of missing movies excluted from the directors df after the join is: 11\n",
            "{'Saludos Amigos', 'Bambi', 'Robin Hood', 'The Adventures of Ichabod and Mr. Toad', 'Peter Pan', 'Dumbo', 'Make Mine Music', 'The Three Caballeros', 'Melody Time', 'Fantasia 2000', 'Fun and Fancy Free'}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bAmCqXL2vItn",
        "outputId": "50b9305f-61f5-4045-964e-b0ad56535ab2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#We want ot be SURE \n",
        "#that there is no typo\n",
        "#or something similar that lead \n",
        "#to miss some film from the movie revenues dataframe\n",
        "\n",
        "#if we want to understand the top 10\n",
        "#prolific directors we must evaluate \n",
        "#that in the top 10 disney film for revenues\n",
        "#none of this missing film is contained \n",
        "#otherwise we have to fix manually the error\n",
        "\n",
        "#I will use a regex to understand if there is any sort of typo\n",
        "#1 Get the top 10 film for adjusted reveneus from df1\n",
        "print(df1[['movie_title','inflation_adjusted_gross']].sort_values(by=['inflation_adjusted_gross'],ascending=False).head(50))\n",
        "#does this contain any of the film contained in \"diff\"?\n",
        "print(diff)\n",
        "df1_movie_title_set=set(df1['movie_title'])\n",
        "print(diff-df1_movie_title_set)"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "                                movie_title  inflation_adjusted_gross\n",
            "0           Snow White and the Seven Dwarfs                5228953251\n",
            "1                                 Pinocchio                2188229052\n",
            "2                                  Fantasia                2187090808\n",
            "8                            101 Dalmatians                1362870985\n",
            "6                        Lady and the Tramp                1236035515\n",
            "3                         Song of the South                1078510579\n",
            "564    Star Wars Ep. VII: The Force Awakens                 936662225\n",
            "4                                Cinderella                 920608730\n",
            "13                          The Jungle Book                 789612346\n",
            "179                           The Lion King                 761640898\n",
            "524                            The Avengers                 660081224\n",
            "441    Pirates of the Caribbean: Dead Man’…                 544817142\n",
            "578            Rogue One: A Star Wars Story                 529483936\n",
            "5               20000 Leagues Under the Sea                 528279994\n",
            "384                            Finding Nemo                 518148559\n",
            "571                            Finding Dory                 486295561\n",
            "309                         The Sixth Sense                 485424724\n",
            "558                 Avengers: Age of Ultron                 459005868\n",
            "499                             Toy Story 3                 443408255\n",
            "135                                 Aladdin                 441969178\n",
            "385  Pirates of the Caribbean: The Curse o…                 426967926\n",
            "532                              Iron Man 3                 424084233\n",
            "351                           Monsters Inc.                 416073179\n",
            "539                                  Frozen                 414997174\n",
            "569              Captain America: Civil War                 408084349\n",
            "316                             Toy Story 2                 404450426\n",
            "429   The Chronicles of Narnia: The Lion t…                 381557539\n",
            "457    Pirates of the Caribbean: At World’…                 379129960\n",
            "222                               Toy Story                 370409631\n",
            "567                         The Jungle Book                 364001123\n",
            "114                    Beauty and the Beast                 363017667\n",
            "286                              Armageddon                 362324957\n",
            "494                     Alice in Wonderland                 357063499\n",
            "560                              Inside Out                 356461711\n",
            "87                             Pretty Woman                 356389765\n",
            "411                         The Incredibles                 354488708\n",
            "60                         3 Men and a Baby                 353334607\n",
            "549                 Guardians of the Galaxy                 343771168\n",
            "566                                Zootopia                 341268248\n",
            "367                                   Signs                 330754439\n",
            "482                                      Up                 329336681\n",
            "66                 Who Framed Roger Rabbit?                 316250084\n",
            "440                                    Cars                 314140384\n",
            "9               The Absent Minded Professor                 310094574\n",
            "192                        The Santa Clause                 298369717\n",
            "343                            Pearl Harbor                 295705112\n",
            "295                            A Bug's Life                 288981698\n",
            "293                            The Waterboy                 288691833\n",
            "306                                  Tarzan                 283900254\n",
            "124                              Sister Act                 283583472\n",
            "{'Saludos Amigos', 'Bambi', 'Robin Hood', 'The Adventures of Ichabod and Mr. Toad', 'Peter Pan', 'Dumbo', 'Make Mine Music', 'The Three Caballeros', 'Melody Time', 'Fantasia 2000', 'Fun and Fancy Free'}\n",
            "{'Saludos Amigos', 'Robin Hood', 'The Three Caballeros', 'Fun and Fancy Free', 'Peter Pan', 'Dumbo', 'Make Mine Music', 'Bambi', 'Melody Time', 'Fantasia 2000', 'The Adventures of Ichabod and Mr. Toad'}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xpp7lf0oxBHo",
        "outputId": "b139e4b1-4d6b-4ce5-adbe-e053e19d9f65",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#related stack overflow question\n",
        "#the goal is to check\n",
        "#if a string in a DataFrame column is contained in a list of strings \n",
        "\n",
        "#https://stackoverflow.com/questions/38802675/create-bool-mask-from-filter-results-in-pandas\n",
        "#converting the set to a list datatype\n",
        "#diff is a set containing the missing movies\n",
        "#from the movies' revenues DataFrame\n",
        "#bambi, robin hood, dumbo ecc...\n",
        "#the set is converted into a list \n",
        "missing_list=list(diff)\n",
        "print(missing_list)\n",
        "#a pattern is created\n",
        "#in order to define filter \n",
        "pattern = '|'.join(missing_list)\n",
        "#creating the boolean mask \n",
        "boolean_check=df1.movie_title.str.contains(pattern)\n",
        "print(df1[boolean_check])"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['Saludos Amigos', 'Bambi', 'Robin Hood', 'The Adventures of Ichabod and Mr. Toad', 'Peter Pan', 'Dumbo', 'Make Mine Music', 'The Three Caballeros', 'Melody Time', 'Fantasia 2000', 'Fun and Fancy Free']\n",
            "                            movie_title release_date  ... total_gross  \\\n",
            "212                Operation Dumbo Drop  Jul 28 1995  ...    24670346   \n",
            "321                Fantasia 2000 (IMAX)   Jan 1 2000  ...    60507228   \n",
            "330  Fantasia 2000 (Theatrical Release)  Jun 16 2000  ...     9103630   \n",
            "358      Peter Pan: Return to Neverland  Feb 15 2002  ...    48430258   \n",
            "\n",
            "    inflation_adjusted_gross  \n",
            "212                 47809421  \n",
            "321                 94852354  \n",
            "330                 14238144  \n",
            "358                 70269715  \n",
            "\n",
            "[4 rows x 6 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T6RLwHWV1gR5",
        "outputId": "258e95a4-2e9f-44a3-ab63-67f7d8e6fcc1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#I can confirm that from the movie revenues list we are missing\n",
        "#4 important films \n",
        "# Peter Pan  Bambi Dumbo Robin Hood\n",
        "#Our business analysis will miss this 4 Disney Masterpieces \n",
        "\n",
        "#top 10 most successful directors based on a single movie\n",
        "top10_dir_absolute=df_inner_join.groupby('director').mean().sort_values(by=['inflation_adjusted_gross'],ascending=False).head(10).reset_index()\n",
        "#suppressing scientific notation\n",
        "top10_dir_absolute['inflation_adjusted_gross']=top10_dir_absolute['inflation_adjusted_gross'].round()\n",
        "print(top10_dir_absolute.info())\n",
        "\n"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 10 entries, 0 to 9\n",
            "Data columns (total 3 columns):\n",
            " #   Column                    Non-Null Count  Dtype  \n",
            "---  ------                    --------------  -----  \n",
            " 0   director                  10 non-null     object \n",
            " 1   total_gross               10 non-null     float64\n",
            " 2   inflation_adjusted_gross  10 non-null     float64\n",
            "dtypes: float64(2), object(1)\n",
            "memory usage: 368.0+ bytes\n",
            "None\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y1as1jSQb0Ty",
        "outputId": "72e01042-7a25-4fba-b108-4015fa983b73",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 843
        }
      },
      "source": [
        "#plotting best selling Disney movies\n",
        "#I like to increase the default plot quality\n",
        "#by increasing dpi \n",
        "fig, ax = plt.subplots(facecolor='white', dpi=300)\n",
        "top_10_bs_film=df1.sort_values(by=[\"inflation_adjusted_gross\"],ascending=False).head(10)\n",
        "#saving the dataframe into an excel file \n",
        "to_excel=top_10_bs_film.to_excel(\"bestfilm.xlsx\")\n",
        "y=top_10_bs_film.inflation_adjusted_gross\n",
        "x=np.arange(0,len(y))\n",
        "y_labels=np.linspace(0,max(y),10,dtype=int)\n",
        "#formatting the y axis and \n",
        "#showing revenues based on millions\n",
        "y_bar_labels=['${:,.1f}'.format(x) +'M' for x in y_labels/1000000]\n",
        "labels=top_10_bs_film.movie_title\n",
        "movie_bar = ax.bar(x,y)\n",
        "# Add text for labels, title and custom x-axis and y-axis tick labels\n",
        "ax.set_ylabel('Adjusted Gross (in Millions of $)')\n",
        "ax.set_title('Best Selling Disney Movies Until Dec-2016')\n",
        "ax.set_xticks(x)\n",
        "ax.set_xticklabels(labels,rotation=90)\n",
        "ax.set_yticks(y_labels)\n",
        "ax.set_yticklabels(y_bar_labels)\n",
        "plt.text(4.6, 500000000, 'Data Elaboration Ing. Andrea Ciufo. Data Source: https://data.world/',\n",
        "         fontsize=10, color='gray',\n",
        "         ha='center', va='top', alpha=0.5)\n",
        "plt.show()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x1200 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hK5SmGOmGTH0",
        "outputId": "b16fe0b5-712f-4dc1-d1a2-560dad1f6d58",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 697
        }
      },
      "source": [
        "#plotting best selling Disney movies directors\n",
        "#I like to increase the default plot quality\n",
        "#by increasing dpi \n",
        "fig, ax = plt.subplots(facecolor='white', dpi=300)\n",
        "y=top10_dir_absolute.inflation_adjusted_gross\n",
        "to_excel=top10_dir_absolute.to_excel(\"bestdirectors.xlsx\")\n",
        "x=np.arange(0,len(top10_dir_absolute.director))\n",
        "labels=top10_dir_absolute.director\n",
        "\n",
        "y_labels=np.linspace(0,max(y),10,dtype=int)\n",
        "#formatting the y axis and \n",
        "#showing revenues based on millions\n",
        "y_bar_labels=['${:,.1f}'.format(x) +'M' for x in y_labels/1000000]\n",
        "\n",
        "director_bar = ax.bar(x,y)\n",
        "# Add text for labels, title and custom x-axis and y-axis tick labels\n",
        "ax.set_ylabel('Adjusted Gross (in Millions of $)')\n",
        "ax.set_title('Directors')\n",
        "ax.set_xticks(x)\n",
        "ax.set_xticklabels(labels,rotation=90)\n",
        "ax.set_yticks(y_labels)\n",
        "ax.set_yticklabels(y_bar_labels)\n",
        "#applying a watermark on the plot \n",
        "plt.text(4.6, 500000000, 'Data Elaboration Ing. Andrea Ciufo. Data Source: https://data.world/',\n",
        "         fontsize=10, color='gray',\n",
        "         ha='center', va='top', alpha=0.5)\n",
        "\n",
        "plt.show()\n",
        "#top 10 most successful directors based on the average of their movies\n"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1800x1200 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}