movieproject.ipynb

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  "metadata": {
    "colab": {
      "name": "movieproject.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMYe8gCQegAhDGIfiJyxTeZ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ervhart/ervhart.github.io/blob/main/movieproject.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "776cdzHR2JWU"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5zgicGpM2N1s"
      },
      "source": [
        "Author: Muhydeen Olakunle Adelani\n",
        "Data Source: https://www.kaggle.com/danielgrijalvas/movies\n",
        "Project Purpose: Finding correlation in Python with Movie Industry Data.\n",
        "Tools Used: Python, Python Libraries"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VOXjq9nn3d0-"
      },
      "source": [
        "**Importing Necessary Libraries**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lfwF6lYW3ljS"
      },
      "source": [
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.mlab as mlab\n",
        "import matplotlib\n",
        "plt.style.use('ggplot')\n",
        "from matplotlib.pyplot import figure\n",
        "import csv\n",
        "\n",
        "#%matplotlib inline\n",
        "#matplotlib.rcParams['figure.figsize'] = (12,8)\n",
        "\n",
        "#pd.options.mode.chained_assignment = None"
      ],
      "execution_count": 100,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-Nx5VA2W32aw"
      },
      "source": [
        "**Loading Dataset** "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jlutis3GCYMa",
        "outputId": "f6e7ac3f-6ec6-4cfd-a750-2fd972c92403"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uIaPSTqcDDkj"
      },
      "source": [
        "data = pd.read_csv('/content/drive/MyDrive/data/movies.csv')"
      ],
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 806
        },
        "id": "ZEUE1VnbDM1E",
        "outputId": "89250958-3e53-433b-a761-db070f41f4c0"
      },
      "source": [
        "data.head(100)"
      ],
      "execution_count": 66,
      "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>name</th>\n",
              "      <th>rating</th>\n",
              "      <th>genre</th>\n",
              "      <th>year</th>\n",
              "      <th>released</th>\n",
              "      <th>score</th>\n",
              "      <th>votes</th>\n",
              "      <th>director</th>\n",
              "      <th>writer</th>\n",
              "      <th>star</th>\n",
              "      <th>country</th>\n",
              "      <th>budget</th>\n",
              "      <th>gross</th>\n",
              "      <th>company</th>\n",
              "      <th>runtime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>The Shining</td>\n",
              "      <td>R</td>\n",
              "      <td>Drama</td>\n",
              "      <td>1980</td>\n",
              "      <td>June 13, 1980 (United States)</td>\n",
              "      <td>8</td>\n",
              "      <td>927000</td>\n",
              "      <td>Stanley Kubrick</td>\n",
              "      <td>Stephen King</td>\n",
              "      <td>Jack Nicholson</td>\n",
              "      <td>United Kingdom</td>\n",
              "      <td>19000000</td>\n",
              "      <td>46998772</td>\n",
              "      <td>Warner Bros.</td>\n",
              "      <td>146.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>The Blue Lagoon</td>\n",
              "      <td>R</td>\n",
              "      <td>Adventure</td>\n",
              "      <td>1980</td>\n",
              "      <td>July 2, 1980 (United States)</td>\n",
              "      <td>5</td>\n",
              "      <td>65000</td>\n",
              "      <td>Randal Kleiser</td>\n",
              "      <td>Henry De Vere Stacpoole</td>\n",
              "      <td>Brooke Shields</td>\n",
              "      <td>United States</td>\n",
              "      <td>4500000</td>\n",
              "      <td>58853106</td>\n",
              "      <td>Columbia Pictures</td>\n",
              "      <td>104.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Star Wars: Episode V - The Empire Strikes Back</td>\n",
              "      <td>PG</td>\n",
              "      <td>Action</td>\n",
              "      <td>1980</td>\n",
              "      <td>June 20, 1980 (United States)</td>\n",
              "      <td>8</td>\n",
              "      <td>1200000</td>\n",
              "      <td>Irvin Kershner</td>\n",
              "      <td>Leigh Brackett</td>\n",
              "      <td>Mark Hamill</td>\n",
              "      <td>United States</td>\n",
              "      <td>18000000</td>\n",
              "      <td>538375067</td>\n",
              "      <td>Lucasfilm</td>\n",
              "      <td>124.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Airplane!</td>\n",
              "      <td>PG</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>1980</td>\n",
              "      <td>July 2, 1980 (United States)</td>\n",
              "      <td>7</td>\n",
              "      <td>221000</td>\n",
              "      <td>Jim Abrahams</td>\n",
              "      <td>Jim Abrahams</td>\n",
              "      <td>Robert Hays</td>\n",
              "      <td>United States</td>\n",
              "      <td>3500000</td>\n",
              "      <td>83453539</td>\n",
              "      <td>Paramount Pictures</td>\n",
              "      <td>88.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Caddyshack</td>\n",
              "      <td>R</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>1980</td>\n",
              "      <td>July 25, 1980 (United States)</td>\n",
              "      <td>7</td>\n",
              "      <td>108000</td>\n",
              "      <td>Harold Ramis</td>\n",
              "      <td>Brian Doyle-Murray</td>\n",
              "      <td>Chevy Chase</td>\n",
              "      <td>United States</td>\n",
              "      <td>6000000</td>\n",
              "      <td>39846344</td>\n",
              "      <td>Orion Pictures</td>\n",
              "      <td>98.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>Take This Job and Shove It</td>\n",
              "      <td>PG</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>1981</td>\n",
              "      <td>May 15, 1981 (United States)</td>\n",
              "      <td>5</td>\n",
              "      <td>761</td>\n",
              "      <td>Gus Trikonis</td>\n",
              "      <td>Barry Schneider</td>\n",
              "      <td>Robert Hays</td>\n",
              "      <td>United States</td>\n",
              "      <td>3500000</td>\n",
              "      <td>17569027</td>\n",
              "      <td>Cinema Group Ventures</td>\n",
              "      <td>100.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>189</th>\n",
              "      <td>Whose Life Is It Anyway?</td>\n",
              "      <td>R</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>1981</td>\n",
              "      <td>January 22, 1982 (United States)</td>\n",
              "      <td>7</td>\n",
              "      <td>2700</td>\n",
              "      <td>John Badham</td>\n",
              "      <td>Brian Clark</td>\n",
              "      <td>Richard Dreyfuss</td>\n",
              "      <td>United States</td>\n",
              "      <td>13000000</td>\n",
              "      <td>8206145</td>\n",
              "      <td>Metro-Goldwyn-Mayer (MGM)</td>\n",
              "      <td>119.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>190</th>\n",
              "      <td>Inchon</td>\n",
              "      <td>PG</td>\n",
              "      <td>Drama</td>\n",
              "      <td>1981</td>\n",
              "      <td>September 17, 1982 (United States)</td>\n",
              "      <td>2</td>\n",
              "      <td>659</td>\n",
              "      <td>Terence Young</td>\n",
              "      <td>Robin Moore</td>\n",
              "      <td>Laurence Olivier</td>\n",
              "      <td>South Korea</td>\n",
              "      <td>46000000</td>\n",
              "      <td>5200986</td>\n",
              "      <td>One Way Productions</td>\n",
              "      <td>140.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>191</th>\n",
              "      <td>All Night Long</td>\n",
              "      <td>R</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>1981</td>\n",
              "      <td>March 6, 1981 (United States)</td>\n",
              "      <td>5</td>\n",
              "      <td>1700</td>\n",
              "      <td>Jean-Claude Tramont</td>\n",
              "      <td>W.D. Richter</td>\n",
              "      <td>Gene Hackman</td>\n",
              "      <td>United States</td>\n",
              "      <td>14000000</td>\n",
              "      <td>4454295</td>\n",
              "      <td>Universal Pictures</td>\n",
              "      <td>87.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>192</th>\n",
              "      <td>The Pursuit of D.B. Cooper</td>\n",
              "      <td>PG</td>\n",
              "      <td>Adventure</td>\n",
              "      <td>1981</td>\n",
              "      <td>November 13, 1981 (United States)</td>\n",
              "      <td>5</td>\n",
              "      <td>1100</td>\n",
              "      <td>Roger Spottiswoode</td>\n",
              "      <td>J.D. Reed</td>\n",
              "      <td>Robert Duvall</td>\n",
              "      <td>United States</td>\n",
              "      <td>12000000</td>\n",
              "      <td>3702028</td>\n",
              "      <td>PolyGram Pictures</td>\n",
              "      <td>100.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>100 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               name  ... runtime\n",
              "0                                       The Shining  ...   146.0\n",
              "1                                   The Blue Lagoon  ...   104.0\n",
              "2    Star Wars: Episode V - The Empire Strikes Back  ...   124.0\n",
              "3                                         Airplane!  ...    88.0\n",
              "4                                        Caddyshack  ...    98.0\n",
              "..                                              ...  ...     ...\n",
              "187                      Take This Job and Shove It  ...   100.0\n",
              "189                        Whose Life Is It Anyway?  ...   119.0\n",
              "190                                          Inchon  ...   140.0\n",
              "191                                  All Night Long  ...    87.0\n",
              "192                      The Pursuit of D.B. Cooper  ...   100.0\n",
              "\n",
              "[100 rows x 15 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wqgoqTPLDjPK"
      },
      "source": [
        "**Data Exploration and Cleaning**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K4H6EsD0S7Eq"
      },
      "source": [
        "Checking for Not Available Number(NAN) in the datasets "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EamXIVYSSjkd",
        "outputId": "25f647cf-2dcb-4507-9354-27ab3b3f8781"
      },
      "source": [
        "data.isna().sum()"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "name           0\n",
              "rating        77\n",
              "genre          0\n",
              "year           0\n",
              "released       2\n",
              "score          3\n",
              "votes          3\n",
              "director       0\n",
              "writer         3\n",
              "star           1\n",
              "country        3\n",
              "budget      2171\n",
              "gross        189\n",
              "company       17\n",
              "runtime        4\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H4Idib8cTDIk"
      },
      "source": [
        "Dropping the NAN datasets from the table"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d-wpua0LSvix"
      },
      "source": [
        "data.dropna(axis=0,inplace=True)"
      ],
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jYg6tkRmTHwj"
      },
      "source": [
        "Checking again that the NAN datasets dropped"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mHkdEapkSy2S",
        "outputId": "e4178683-8ae8-4049-d2fe-74e786f0ce78"
      },
      "source": [
        "data.isna().sum()"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "name        0\n",
              "rating      0\n",
              "genre       0\n",
              "year        0\n",
              "released    0\n",
              "score       0\n",
              "votes       0\n",
              "director    0\n",
              "writer      0\n",
              "star        0\n",
              "country     0\n",
              "budget      0\n",
              "gross       0\n",
              "company     0\n",
              "runtime     0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Yo2RReJATRXE"
      },
      "source": [
        "The data is clean now."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sGLdf5vATUtZ"
      },
      "source": [
        "Checking if there is missing value again to ascertain the data is clean using percentage approach"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QXWbKI1iDuWN",
        "outputId": "3196ab2e-deca-4c55-f5d3-605f0d420701"
      },
      "source": [
        "for colum in data.columns:\n",
        "    percent_missing = np.mean(data[colum].isnull())\n",
        "    print('{} - {}%'.format(colum, round(percent_missing*100)))"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "name - 0%\n",
            "rating - 0%\n",
            "genre - 0%\n",
            "year - 0%\n",
            "released - 0%\n",
            "score - 0%\n",
            "votes - 0%\n",
            "director - 0%\n",
            "writer - 0%\n",
            "star - 0%\n",
            "country - 0%\n",
            "budget - 0%\n",
            "gross - 0%\n",
            "company - 0%\n",
            "runtime - 0%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nr_7XfJOGlnu"
      },
      "source": [
        "**Checking the column data types**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pvjjjDBeGqRd",
        "outputId": "62d56693-3e04-4083-f0e5-3ff06ad9ef83"
      },
      "source": [
        "print(data.dtypes)"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "name         object\n",
            "rating       object\n",
            "genre        object\n",
            "year          int64\n",
            "released     object\n",
            "score       float64\n",
            "votes       float64\n",
            "director     object\n",
            "writer       object\n",
            "star         object\n",
            "country      object\n",
            "budget      float64\n",
            "gross       float64\n",
            "company      object\n",
            "runtime     float64\n",
            "dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-thTFwiwI8_2"
      },
      "source": [
        "**Changing the data type columns for score, votes, budget and gross from float to integer**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wqzszVDOJGUY"
      },
      "source": [
        "data['score']=data['score'].astype('int64')\n",
        "data['votes']=data['votes'].astype('int64')\n",
        "data['budget'] = data['budget'].astype('int64')\n",
        "data['gross'] = data['gross'].astype('int64')"
      ],
      "execution_count": 64,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VoTNMavWT8lZ"
      },
      "source": [
        "Checking that the conversion is done"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ymlIKQm8UAgc",
        "outputId": "a926dfa5-066b-4a86-c0a1-efb04c3e2061"
      },
      "source": [
        "print(data.dtypes)"
      ],
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "name         object\n",
            "rating       object\n",
            "genre        object\n",
            "year          int64\n",
            "released     object\n",
            "score         int64\n",
            "votes         int64\n",
            "director     object\n",
            "writer       object\n",
            "star         object\n",
            "country      object\n",
            "budget        int64\n",
            "gross         int64\n",
            "company      object\n",
            "runtime     float64\n",
            "dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xvCRDAVjW26U"
      },
      "source": [
        "Group the data by gross"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 806
        },
        "id": "7FN_-2dZW7XS",
        "outputId": "89a78232-0817-452d-80a7-49fe5230b38b"
      },
      "source": [
        "data.sort_values(by=['gross'],inplace=False, ascending=False)"
      ],
      "execution_count": 69,
      "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>name</th>\n",
              "      <th>rating</th>\n",
              "      <th>genre</th>\n",
              "      <th>year</th>\n",
              "      <th>released</th>\n",
              "      <th>score</th>\n",
              "      <th>votes</th>\n",
              "      <th>director</th>\n",
              "      <th>writer</th>\n",
              "      <th>star</th>\n",
              "      <th>country</th>\n",
              "      <th>budget</th>\n",
              "      <th>gross</th>\n",
              "      <th>company</th>\n",
              "      <th>runtime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>5445</th>\n",
              "      <td>Avatar</td>\n",
              "      <td>PG-13</td>\n",
              "      <td>Action</td>\n",
              "      <td>2009</td>\n",
              "      <td>December 18, 2009 (United States)</td>\n",
              "      <td>7</td>\n",
              "      <td>1100000</td>\n",
              "      <td>James Cameron</td>\n",
              "      <td>James Cameron</td>\n",
              "      <td>Sam Worthington</td>\n",
              "      <td>United States</td>\n",
              "      <td>237000000</td>\n",
              "      <td>2847246203</td>\n",
              "      <td>Twentieth Century Fox</td>\n",
              "      <td>162.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7445</th>\n",
              "      <td>Avengers: Endgame</td>\n",
              "      <td>PG-13</td>\n",
              "      <td>Action</td>\n",
              "      <td>2019</td>\n",
              "      <td>April 26, 2019 (United States)</td>\n",
              "      <td>8</td>\n",
              "      <td>903000</td>\n",
              "      <td>Anthony Russo</td>\n",
              "      <td>Christopher Markus</td>\n",
              "      <td>Robert Downey Jr.</td>\n",
              "      <td>United States</td>\n",
              "      <td>356000000</td>\n",
              "      <td>2797501328</td>\n",
              "      <td>Marvel Studios</td>\n",
              "      <td>181.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3045</th>\n",
              "      <td>Titanic</td>\n",
              "      <td>PG-13</td>\n",
              "      <td>Drama</td>\n",
              "      <td>1997</td>\n",
              "      <td>December 19, 1997 (United States)</td>\n",
              "      <td>7</td>\n",
              "      <td>1100000</td>\n",
              "      <td>James Cameron</td>\n",
              "      <td>James Cameron</td>\n",
              "      <td>Leonardo DiCaprio</td>\n",
              "      <td>United States</td>\n",
              "      <td>200000000</td>\n",
              "      <td>2201647264</td>\n",
              "      <td>Twentieth Century Fox</td>\n",
              "      <td>194.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6663</th>\n",
              "      <td>Star Wars: Episode VII - The Force Awakens</td>\n",
              "      <td>PG-13</td>\n",
              "      <td>Action</td>\n",
              "      <td>2015</td>\n",
              "      <td>December 18, 2015 (United States)</td>\n",
              "      <td>7</td>\n",
              "      <td>876000</td>\n",
              "      <td>J.J. Abrams</td>\n",
              "      <td>Lawrence Kasdan</td>\n",
              "      <td>Daisy Ridley</td>\n",
              "      <td>United States</td>\n",
              "      <td>245000000</td>\n",
              "      <td>2069521700</td>\n",
              "      <td>Lucasfilm</td>\n",
              "      <td>138.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7244</th>\n",
              "      <td>Avengers: Infinity War</td>\n",
              "      <td>PG-13</td>\n",
              "      <td>Action</td>\n",
              "      <td>2018</td>\n",
              "      <td>April 27, 2018 (United States)</td>\n",
              "      <td>8</td>\n",
              "      <td>897000</td>\n",
              "      <td>Anthony Russo</td>\n",
              "      <td>Christopher Markus</td>\n",
              "      <td>Robert Downey Jr.</td>\n",
              "      <td>United States</td>\n",
              "      <td>321000000</td>\n",
              "      <td>2048359754</td>\n",
              "      <td>Marvel Studios</td>\n",
              "      <td>149.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5640</th>\n",
              "      <td>Tanner Hall</td>\n",
              "      <td>R</td>\n",
              "      <td>Drama</td>\n",
              "      <td>2009</td>\n",
              "      <td>January 15, 2015 (Sweden)</td>\n",
              "      <td>5</td>\n",
              "      <td>3500</td>\n",
              "      <td>Francesca Gregorini</td>\n",
              "      <td>Tatiana von Fürstenberg</td>\n",
              "      <td>Rooney Mara</td>\n",
              "      <td>United States</td>\n",
              "      <td>3000000</td>\n",
              "      <td>5073</td>\n",
              "      <td>Two Prong Lesson</td>\n",
              "      <td>96.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2434</th>\n",
              "      <td>Philadelphia Experiment II</td>\n",
              "      <td>PG-13</td>\n",
              "      <td>Action</td>\n",
              "      <td>1993</td>\n",
              "      <td>June 4, 1994 (South Korea)</td>\n",
              "      <td>4</td>\n",
              "      <td>1900</td>\n",
              "      <td>Stephen Cornwell</td>\n",
              "      <td>Wallace C. Bennett</td>\n",
              "      <td>Brad Johnson</td>\n",
              "      <td>United States</td>\n",
              "      <td>5000000</td>\n",
              "      <td>2970</td>\n",
              "      <td>Trimark Pictures</td>\n",
              "      <td>97.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3681</th>\n",
              "      <td>Ginger Snaps</td>\n",
              "      <td>Not Rated</td>\n",
              "      <td>Drama</td>\n",
              "      <td>2000</td>\n",
              "      <td>May 11, 2001 (Canada)</td>\n",
              "      <td>6</td>\n",
              "      <td>43000</td>\n",
              "      <td>John Fawcett</td>\n",
              "      <td>Karen Walton</td>\n",
              "      <td>Emily Perkins</td>\n",
              "      <td>Canada</td>\n",
              "      <td>5000000</td>\n",
              "      <td>2554</td>\n",
              "      <td>Copperheart Entertainment</td>\n",
              "      <td>108.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>272</th>\n",
              "      <td>Parasite</td>\n",
              "      <td>R</td>\n",
              "      <td>Horror</td>\n",
              "      <td>1982</td>\n",
              "      <td>March 12, 1982 (United States)</td>\n",
              "      <td>3</td>\n",
              "      <td>2300</td>\n",
              "      <td>Charles Band</td>\n",
              "      <td>Alan J. Adler</td>\n",
              "      <td>Robert Glaudini</td>\n",
              "      <td>United States</td>\n",
              "      <td>800000</td>\n",
              "      <td>2270</td>\n",
              "      <td>Embassy Pictures</td>\n",
              "      <td>85.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3203</th>\n",
              "      <td>Trojan War</td>\n",
              "      <td>PG-13</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>1997</td>\n",
              "      <td>October 1, 1997 (Brazil)</td>\n",
              "      <td>5</td>\n",
              "      <td>5800</td>\n",
              "      <td>George Huang</td>\n",
              "      <td>Andy Burg</td>\n",
              "      <td>Will Friedle</td>\n",
              "      <td>United States</td>\n",
              "      <td>15000000</td>\n",
              "      <td>309</td>\n",
              "      <td>Daybreak</td>\n",
              "      <td>85.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5421 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                            name  ... runtime\n",
              "5445                                      Avatar  ...   162.0\n",
              "7445                           Avengers: Endgame  ...   181.0\n",
              "3045                                     Titanic  ...   194.0\n",
              "6663  Star Wars: Episode VII - The Force Awakens  ...   138.0\n",
              "7244                      Avengers: Infinity War  ...   149.0\n",
              "...                                          ...  ...     ...\n",
              "5640                                 Tanner Hall  ...    96.0\n",
              "2434                  Philadelphia Experiment II  ...    97.0\n",
              "3681                                Ginger Snaps  ...   108.0\n",
              "272                                     Parasite  ...    85.0\n",
              "3203                                  Trojan War  ...    85.0\n",
              "\n",
              "[5421 rows x 15 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2UjypRuMev-5"
      },
      "source": [
        "**Checking for correlation using budget, company and gross columns by making use of scatter plot, seaborn**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "E0tNfhDqe8bB",
        "outputId": "cf2a0eff-97c4-4ba5-f814-318c49535813"
      },
      "source": [
        "#Scatter plot of budget with gross\n",
        "plt.scatter(x=data['budget'],y=data['gross'])\n",
        "plt.title('Budget versus Gross Earn')\n",
        "plt.xlabel('Gross Earn')\n",
        "plt.ylabel('Budget')\n",
        "plt.show()"
      ],
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 528
        },
        "id": "PmHEB1kuf5Se",
        "outputId": "e2a83167-6b24-42c3-d3ef-88e0fc9150d4"
      },
      "source": [
        "sns.regplot(x=\"gross\", y=\"budget\", data=data, scatter_kws={\"color\":\"red\"}, line_kws={\"color\":\"green\"})"
      ],
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f62204e4f10>"
            ]
          },
          "metadata": {},
          "execution_count": 94
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pPqh4WPohewX"
      },
      "source": [
        "**Checking for correlation in the table. Note: It will only work for numeric columns in the table**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "s72Yzc3lhqeb",
        "outputId": "906e9ef0-2243-4de7-d454-f75b703991de"
      },
      "source": [
        "data.corr()"
      ],
      "execution_count": 95,
      "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>year</th>\n",
              "      <th>score</th>\n",
              "      <th>votes</th>\n",
              "      <th>budget</th>\n",
              "      <th>gross</th>\n",
              "      <th>runtime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>year</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.057013</td>\n",
              "      <td>0.206021</td>\n",
              "      <td>0.327722</td>\n",
              "      <td>0.274321</td>\n",
              "      <td>0.075077</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>score</th>\n",
              "      <td>0.057013</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.455808</td>\n",
              "      <td>0.066443</td>\n",
              "      <td>0.211973</td>\n",
              "      <td>0.394589</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>votes</th>\n",
              "      <td>0.206021</td>\n",
              "      <td>0.455808</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.439675</td>\n",
              "      <td>0.614751</td>\n",
              "      <td>0.352303</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>budget</th>\n",
              "      <td>0.327722</td>\n",
              "      <td>0.066443</td>\n",
              "      <td>0.439675</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.740247</td>\n",
              "      <td>0.318695</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gross</th>\n",
              "      <td>0.274321</td>\n",
              "      <td>0.211973</td>\n",
              "      <td>0.614751</td>\n",
              "      <td>0.740247</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.275796</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>runtime</th>\n",
              "      <td>0.075077</td>\n",
              "      <td>0.394589</td>\n",
              "      <td>0.352303</td>\n",
              "      <td>0.318695</td>\n",
              "      <td>0.275796</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             year     score     votes    budget     gross   runtime\n",
              "year     1.000000  0.057013  0.206021  0.327722  0.274321  0.075077\n",
              "score    0.057013  1.000000  0.455808  0.066443  0.211973  0.394589\n",
              "votes    0.206021  0.455808  1.000000  0.439675  0.614751  0.352303\n",
              "budget   0.327722  0.066443  0.439675  1.000000  0.740247  0.318695\n",
              "gross    0.274321  0.211973  0.614751  0.740247  1.000000  0.275796\n",
              "runtime  0.075077  0.394589  0.352303  0.318695  0.275796  1.000000"
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "84nwL01YcUia"
      },
      "source": [
        "**Correlation Matrix between all numeric columns**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "73Cks10ncYzQ",
        "outputId": "b64e93af-ba94-446e-dd53-0f36c5bfb62c"
      },
      "source": [
        "data.corr(method ='pearson')"
      ],
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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            "text/plain": [
              "             year     score     votes    budget     gross   runtime\n",
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              "score    0.057013  1.000000  0.455808  0.066443  0.211973  0.394589\n",
              "votes    0.206021  0.455808  1.000000  0.439675  0.614751  0.352303\n",
              "budget   0.327722  0.066443  0.439675  1.000000  0.740247  0.318695\n",
              "gross    0.274321  0.211973  0.614751  0.740247  1.000000  0.275796\n",
              "runtime  0.075077  0.394589  0.352303  0.318695  0.275796  1.000000"
            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
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          "height": 238
        },
        "id": "OLOevFjhciUJ",
        "outputId": "13f60a74-da0d-4686-a00a-67a00bf97e56"
      },
      "source": [
        "data.corr(method ='kendall')"
      ],
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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            "text/plain": [
              "             year     score     votes    budget     gross   runtime\n",
              "year     1.000000  0.044956  0.296512  0.220833  0.239539  0.064824\n",
              "score    0.044956  1.000000  0.369110 -0.006778  0.135035  0.307368\n",
              "votes    0.296512  0.369110  1.000000  0.346274  0.553625  0.205344\n",
              "budget   0.220833 -0.006778  0.346274  1.000000  0.512057  0.231278\n",
              "gross    0.239539  0.135035  0.553625  0.512057  1.000000  0.176979\n",
              "runtime  0.064824  0.307368  0.205344  0.231278  0.176979  1.000000"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "sRXJh9Locoi-",
        "outputId": "26d6993d-d54a-4daf-82ef-0ed3bdfbbdd8"
      },
      "source": [
        "data.corr(method ='spearman')"
      ],
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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            "text/plain": [
              "             year     score     votes    budget     gross   runtime\n",
              "year     1.000000  0.059407  0.427623  0.312886  0.351045  0.095444\n",
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              "votes    0.427623  0.474519  1.000000  0.493461  0.745793  0.300621\n",
              "budget   0.312886 -0.009156  0.493461  1.000000  0.692958  0.330794\n",
              "gross    0.351045  0.178342  0.745793  0.692958  1.000000  0.257400\n",
              "runtime  0.095444  0.393549  0.300621  0.330794  0.257400  1.000000"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "p_rwhiD3jycs"
      },
      "source": [
        "**Data Visualization of the Correlation Matrix**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "Ce1DRTTtcu0B",
        "outputId": "11171352-6a9d-4735-f73a-6c3a23fd40b5"
      },
      "source": [
        "correlation_matrix = data.corr()\n",
        "\n",
        "sns.heatmap(correlation_matrix, annot = True)\n",
        "\n",
        "plt.title(\"Correlation matrix for Numeric Features\")\n",
        "\n",
        "plt.xlabel(\"Movie features\")\n",
        "\n",
        "plt.ylabel(\"Movie features\")\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}