Data Analysis Project - Movie Dataset.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "b8d5625f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dataset: https://www.kaggle.com/danielgrijalvas/movies\n",
    "\n",
    "# Import libraries\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\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",
    "\n",
    "%matplotlib inline\n",
    "matplotlib.rcParams['figure.figsize'] = (12,8) #Adjusts the configuration of the created plots\n",
    "\n",
    "\n",
    "# Read in data\n",
    "\n",
    "df = pd.read_csv(r'C:\\Users\\jamesmiller\\Downloads\\archive\\movies.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "b182f411",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>budget</th>\n",
       "      <th>company</th>\n",
       "      <th>country</th>\n",
       "      <th>director</th>\n",
       "      <th>genre</th>\n",
       "      <th>gross</th>\n",
       "      <th>name</th>\n",
       "      <th>rating</th>\n",
       "      <th>released</th>\n",
       "      <th>runtime</th>\n",
       "      <th>score</th>\n",
       "      <th>star</th>\n",
       "      <th>votes</th>\n",
       "      <th>writer</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8000000.0</td>\n",
       "      <td>Columbia Pictures Corporation</td>\n",
       "      <td>USA</td>\n",
       "      <td>Rob Reiner</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>52287414.0</td>\n",
       "      <td>Stand by Me</td>\n",
       "      <td>R</td>\n",
       "      <td>1986-08-22</td>\n",
       "      <td>89</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Wil Wheaton</td>\n",
       "      <td>299174</td>\n",
       "      <td>Stephen King</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6000000.0</td>\n",
       "      <td>Paramount Pictures</td>\n",
       "      <td>USA</td>\n",
       "      <td>John Hughes</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>70136369.0</td>\n",
       "      <td>Ferris Bueller's Day Off</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>1986-06-11</td>\n",
       "      <td>103</td>\n",
       "      <td>7.8</td>\n",
       "      <td>Matthew Broderick</td>\n",
       "      <td>264740</td>\n",
       "      <td>John Hughes</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15000000.0</td>\n",
       "      <td>Paramount Pictures</td>\n",
       "      <td>USA</td>\n",
       "      <td>Tony Scott</td>\n",
       "      <td>Action</td>\n",
       "      <td>179800601.0</td>\n",
       "      <td>Top Gun</td>\n",
       "      <td>PG</td>\n",
       "      <td>1986-05-16</td>\n",
       "      <td>110</td>\n",
       "      <td>6.9</td>\n",
       "      <td>Tom Cruise</td>\n",
       "      <td>236909</td>\n",
       "      <td>Jim Cash</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>18500000.0</td>\n",
       "      <td>Twentieth Century Fox Film Corporation</td>\n",
       "      <td>USA</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>Action</td>\n",
       "      <td>85160248.0</td>\n",
       "      <td>Aliens</td>\n",
       "      <td>R</td>\n",
       "      <td>1986-07-18</td>\n",
       "      <td>137</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Sigourney Weaver</td>\n",
       "      <td>540152</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9000000.0</td>\n",
       "      <td>Walt Disney Pictures</td>\n",
       "      <td>USA</td>\n",
       "      <td>Randal Kleiser</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>18564613.0</td>\n",
       "      <td>Flight of the Navigator</td>\n",
       "      <td>PG</td>\n",
       "      <td>1986-08-01</td>\n",
       "      <td>90</td>\n",
       "      <td>6.9</td>\n",
       "      <td>Joey Cramer</td>\n",
       "      <td>36636</td>\n",
       "      <td>Mark H. Baker</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       budget                                 company country        director  \\\n",
       "0   8000000.0           Columbia Pictures Corporation     USA      Rob Reiner   \n",
       "1   6000000.0                      Paramount Pictures     USA     John Hughes   \n",
       "2  15000000.0                      Paramount Pictures     USA      Tony Scott   \n",
       "3  18500000.0  Twentieth Century Fox Film Corporation     USA   James Cameron   \n",
       "4   9000000.0                    Walt Disney Pictures     USA  Randal Kleiser   \n",
       "\n",
       "       genre        gross                      name rating    released  \\\n",
       "0  Adventure   52287414.0               Stand by Me      R  1986-08-22   \n",
       "1     Comedy   70136369.0  Ferris Bueller's Day Off  PG-13  1986-06-11   \n",
       "2     Action  179800601.0                   Top Gun     PG  1986-05-16   \n",
       "3     Action   85160248.0                    Aliens      R  1986-07-18   \n",
       "4  Adventure   18564613.0   Flight of the Navigator     PG  1986-08-01   \n",
       "\n",
       "   runtime  score               star   votes         writer  year  \n",
       "0       89    8.1        Wil Wheaton  299174   Stephen King  1986  \n",
       "1      103    7.8  Matthew Broderick  264740    John Hughes  1986  \n",
       "2      110    6.9         Tom Cruise  236909       Jim Cash  1986  \n",
       "3      137    8.4   Sigourney Weaver  540152  James Cameron  1986  \n",
       "4       90    6.9        Joey Cramer   36636  Mark H. Baker  1986  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Looking at the data\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "359978fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "budget - 0.0%\n",
      "company - 0.0%\n",
      "country - 0.0%\n",
      "director - 0.0%\n",
      "genre - 0.0%\n",
      "gross - 0.0%\n",
      "name - 0.0%\n",
      "rating - 0.0%\n",
      "released - 0.0%\n",
      "runtime - 0.0%\n",
      "score - 0.0%\n",
      "star - 0.0%\n",
      "votes - 0.0%\n",
      "writer - 0.0%\n",
      "year - 0.0%\n"
     ]
    }
   ],
   "source": [
    "# DATA CLEANING\n",
    "# Check for missing data\n",
    "\n",
    "for col in df.columns:\n",
    "    pct_missing = np.mean(df[col].isnull())\n",
    "    print('{} - {}%'.format(col, pct_missing))\n",
    "    \n",
    "# The output shows that all rows are complete"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "312e1e7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget      float64\n",
       "company      object\n",
       "country      object\n",
       "director     object\n",
       "genre        object\n",
       "gross       float64\n",
       "name         object\n",
       "rating       object\n",
       "released     object\n",
       "runtime       int64\n",
       "score       float64\n",
       "star         object\n",
       "votes         int64\n",
       "writer       object\n",
       "year          int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check data types for columns\n",
    "\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "da74ced2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Both budget and gross attriubtes do not need to be float, so we can change this to integer.\n",
    "# Changing data types of 'budget' and 'gross' columns.\n",
    "\n",
    "df['budget'] = df['budget'].astype('int64')\n",
    "df['gross'] = df['gross'].astype('int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "f40d711f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# There are two years that appear in the dataset; 'released' and 'year'.\n",
    "# These two should match, but there are some entries where this is not true, i.e. Row 7 - Platoon, 31 - River's Edge, 52 - Henry: Portrait of a Serial Killer\n",
    "# To fix this issue: 1: create a new column, 2. prefer 'released' over 'year'\n",
    "\n",
    "\n",
    "# Create Correct Year column\n",
    "\n",
    "df['yearcorrect'] = df['released'].astype(str).str[:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "18ebd02c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>budget</th>\n",
       "      <th>company</th>\n",
       "      <th>country</th>\n",
       "      <th>director</th>\n",
       "      <th>genre</th>\n",
       "      <th>gross</th>\n",
       "      <th>name</th>\n",
       "      <th>rating</th>\n",
       "      <th>released</th>\n",
       "      <th>runtime</th>\n",
       "      <th>score</th>\n",
       "      <th>star</th>\n",
       "      <th>votes</th>\n",
       "      <th>writer</th>\n",
       "      <th>year</th>\n",
       "      <th>yearcorrect</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6380</th>\n",
       "      <td>245000000</td>\n",
       "      <td>Lucasfilm</td>\n",
       "      <td>USA</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>Action</td>\n",
       "      <td>936662225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>2015-12-18</td>\n",
       "      <td>136</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Daisy Ridley</td>\n",
       "      <td>687192</td>\n",
       "      <td>Lawrence Kasdan</td>\n",
       "      <td>2015</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5061</th>\n",
       "      <td>237000000</td>\n",
       "      <td>Twentieth Century Fox Film Corporation</td>\n",
       "      <td>UK</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>Action</td>\n",
       "      <td>760507625</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>2009-12-18</td>\n",
       "      <td>162</td>\n",
       "      <td>7.8</td>\n",
       "      <td>Sam Worthington</td>\n",
       "      <td>954412</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>2009</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2420</th>\n",
       "      <td>200000000</td>\n",
       "      <td>Twentieth Century Fox Film Corporation</td>\n",
       "      <td>USA</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>Drama</td>\n",
       "      <td>658672302</td>\n",
       "      <td>Titanic</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>1997-12-19</td>\n",
       "      <td>194</td>\n",
       "      <td>7.8</td>\n",
       "      <td>Leonardo DiCaprio</td>\n",
       "      <td>862554</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>1997</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6391</th>\n",
       "      <td>150000000</td>\n",
       "      <td>Universal Pictures</td>\n",
       "      <td>USA</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>Action</td>\n",
       "      <td>652270625</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>2015-06-12</td>\n",
       "      <td>124</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Chris Pratt</td>\n",
       "      <td>469200</td>\n",
       "      <td>Rick Jaffa</td>\n",
       "      <td>2015</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5723</th>\n",
       "      <td>220000000</td>\n",
       "      <td>Marvel Studios</td>\n",
       "      <td>USA</td>\n",
       "      <td>Joss Whedon</td>\n",
       "      <td>Action</td>\n",
       "      <td>623357910</td>\n",
       "      <td>The Avengers</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>2012-05-04</td>\n",
       "      <td>143</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Robert Downey Jr.</td>\n",
       "      <td>1064633</td>\n",
       "      <td>Joss Whedon</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         budget                                 company country  \\\n",
       "6380  245000000                               Lucasfilm     USA   \n",
       "5061  237000000  Twentieth Century Fox Film Corporation      UK   \n",
       "2420  200000000  Twentieth Century Fox Film Corporation     USA   \n",
       "6391  150000000                      Universal Pictures     USA   \n",
       "5723  220000000                          Marvel Studios     USA   \n",
       "\n",
       "             director   genre      gross                          name rating  \\\n",
       "6380      J.J. Abrams  Action  936662225  Star Wars: The Force Awakens  PG-13   \n",
       "5061    James Cameron  Action  760507625                        Avatar  PG-13   \n",
       "2420    James Cameron   Drama  658672302                       Titanic  PG-13   \n",
       "6391  Colin Trevorrow  Action  652270625                Jurassic World  PG-13   \n",
       "5723      Joss Whedon  Action  623357910                  The Avengers  PG-13   \n",
       "\n",
       "        released  runtime  score               star    votes           writer  \\\n",
       "6380  2015-12-18      136    8.1       Daisy Ridley   687192  Lawrence Kasdan   \n",
       "5061  2009-12-18      162    7.8    Sam Worthington   954412    James Cameron   \n",
       "2420  1997-12-19      194    7.8  Leonardo DiCaprio   862554    James Cameron   \n",
       "6391  2015-06-12      124    7.0        Chris Pratt   469200       Rick Jaffa   \n",
       "5723  2012-05-04      143    8.1  Robert Downey Jr.  1064633      Joss Whedon   \n",
       "\n",
       "      year yearcorrect  \n",
       "6380  2015        2015  \n",
       "5061  2009        2009  \n",
       "2420  1997        1997  \n",
       "6391  2015        2015  \n",
       "5723  2012        2012  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Order by gross revenue\n",
    "\n",
    "df.sort_values(by=['gross'], inplace=False, ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "a6721901",
   "metadata": {},
   "outputs": [],
   "source": [
    "# View all entries, and not a condensed view of the data\n",
    "\n",
    "pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "9fa55261",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5288                    micro_scope\n",
       "3486                       i5 Films\n",
       "6084                           erbp\n",
       "3225                 double A Films\n",
       "2707    Zucker Brothers Productions\n",
       "Name: company, dtype: object"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove duplicates\n",
    "\n",
    "df['company'].drop_duplicates().sort_values(ascending=False).head()\n",
    "\n",
    "# The output shows all the unique values within 'company'.\n",
    "# If the above is executed without .drop_duplicates(), then there would be numerous entries for, example,'Zentropa Entertainments'\n",
    "# Similarly, to drop all duplicates in the dataset, then the following should be executed: df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "e3214924",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# CORRELATIONS\n",
    "# Which attribute is more correlated to gross (revenue)\n",
    "\n",
    "# Scatter plot: budget vs gross\n",
    "\n",
    "plt.scatter(x=df['budget'], y=df['gross'])\n",
    "\n",
    "plt.title('Budget vs Gross Earnings')\n",
    "\n",
    "plt.xlabel('Gross Earnings (million, USD)')\n",
    "\n",
    "plt.ylabel('Budget for Film (million, USD)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "1d67e0b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='budget', ylabel='gross'>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Regression plot: Budget vs Gross using seaborn\n",
    "\n",
    "sns.regplot(x='budget', y='gross', data=df, scatter_kws={\"color\":\"red\"}, line_kws={\"color\": \"blue\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "041f9461",
   "metadata": {},
   "outputs": [
    {
     "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>budget</th>\n",
       "      <th>gross</th>\n",
       "      <th>runtime</th>\n",
       "      <th>score</th>\n",
       "      <th>votes</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>budget</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.712196</td>\n",
       "      <td>0.268226</td>\n",
       "      <td>0.042145</td>\n",
       "      <td>0.503924</td>\n",
       "      <td>0.291009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gross</th>\n",
       "      <td>0.712196</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.224579</td>\n",
       "      <td>0.165693</td>\n",
       "      <td>0.662457</td>\n",
       "      <td>0.191548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>runtime</th>\n",
       "      <td>0.268226</td>\n",
       "      <td>0.224579</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.395343</td>\n",
       "      <td>0.317399</td>\n",
       "      <td>0.087639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>score</th>\n",
       "      <td>0.042145</td>\n",
       "      <td>0.165693</td>\n",
       "      <td>0.395343</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.393607</td>\n",
       "      <td>0.105276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>votes</th>\n",
       "      <td>0.503924</td>\n",
       "      <td>0.662457</td>\n",
       "      <td>0.317399</td>\n",
       "      <td>0.393607</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.229304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <td>0.291009</td>\n",
       "      <td>0.191548</td>\n",
       "      <td>0.087639</td>\n",
       "      <td>0.105276</td>\n",
       "      <td>0.229304</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           budget     gross   runtime     score     votes      year\n",
       "budget   1.000000  0.712196  0.268226  0.042145  0.503924  0.291009\n",
       "gross    0.712196  1.000000  0.224579  0.165693  0.662457  0.191548\n",
       "runtime  0.268226  0.224579  1.000000  0.395343  0.317399  0.087639\n",
       "score    0.042145  0.165693  0.395343  1.000000  0.393607  0.105276\n",
       "votes    0.503924  0.662457  0.317399  0.393607  1.000000  0.229304\n",
       "year     0.291009  0.191548  0.087639  0.105276  0.229304  1.000000"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Numerical version of the correlation\n",
    "\n",
    "df.corr(method='pearson')\n",
    "# methods: pearson, kendall, spearman"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "48e2153d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# High correlation between budget and gross"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "2821c28e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation_matrix = df.corr(method='pearson')\n",
    "\n",
    "sns.heatmap(correlation_matrix, annot=True)\n",
    "\n",
    "plt.title('Correlation Matrix')\n",
    "\n",
    "plt.xlabel('Movie Features')\n",
    "\n",
    "plt.ylabel('Movie Features')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "5d630283",
   "metadata": {},
   "outputs": [
    {
     "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>budget</th>\n",
       "      <th>company</th>\n",
       "      <th>country</th>\n",
       "      <th>director</th>\n",
       "      <th>genre</th>\n",
       "      <th>gross</th>\n",
       "      <th>name</th>\n",
       "      <th>rating</th>\n",
       "      <th>released</th>\n",
       "      <th>runtime</th>\n",
       "      <th>score</th>\n",
       "      <th>star</th>\n",
       "      <th>votes</th>\n",
       "      <th>writer</th>\n",
       "      <th>year</th>\n",
       "      <th>yearcorrect</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8000000</td>\n",
       "      <td>665</td>\n",
       "      <td>54</td>\n",
       "      <td>2192</td>\n",
       "      <td>1</td>\n",
       "      <td>52287414</td>\n",
       "      <td>4661</td>\n",
       "      <td>8</td>\n",
       "      <td>39</td>\n",
       "      <td>89</td>\n",
       "      <td>8.1</td>\n",
       "      <td>2454</td>\n",
       "      <td>299174</td>\n",
       "      <td>3716</td>\n",
       "      <td>1986</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6000000</td>\n",
       "      <td>1680</td>\n",
       "      <td>54</td>\n",
       "      <td>1296</td>\n",
       "      <td>4</td>\n",
       "      <td>70136369</td>\n",
       "      <td>1821</td>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "      <td>103</td>\n",
       "      <td>7.8</td>\n",
       "      <td>1605</td>\n",
       "      <td>264740</td>\n",
       "      <td>1970</td>\n",
       "      <td>1986</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15000000</td>\n",
       "      <td>1680</td>\n",
       "      <td>54</td>\n",
       "      <td>2645</td>\n",
       "      <td>0</td>\n",
       "      <td>179800601</td>\n",
       "      <td>6203</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>110</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2345</td>\n",
       "      <td>236909</td>\n",
       "      <td>1852</td>\n",
       "      <td>1986</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>18500000</td>\n",
       "      <td>2062</td>\n",
       "      <td>54</td>\n",
       "      <td>1066</td>\n",
       "      <td>0</td>\n",
       "      <td>85160248</td>\n",
       "      <td>295</td>\n",
       "      <td>8</td>\n",
       "      <td>33</td>\n",
       "      <td>137</td>\n",
       "      <td>8.4</td>\n",
       "      <td>2192</td>\n",
       "      <td>540152</td>\n",
       "      <td>1629</td>\n",
       "      <td>1986</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9000000</td>\n",
       "      <td>2122</td>\n",
       "      <td>54</td>\n",
       "      <td>2123</td>\n",
       "      <td>1</td>\n",
       "      <td>18564613</td>\n",
       "      <td>1872</td>\n",
       "      <td>6</td>\n",
       "      <td>36</td>\n",
       "      <td>90</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1139</td>\n",
       "      <td>36636</td>\n",
       "      <td>2549</td>\n",
       "      <td>1986</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     budget  company  country  director  genre      gross  name  rating  \\\n",
       "0   8000000      665       54      2192      1   52287414  4661       8   \n",
       "1   6000000     1680       54      1296      4   70136369  1821       7   \n",
       "2  15000000     1680       54      2645      0  179800601  6203       6   \n",
       "3  18500000     2062       54      1066      0   85160248   295       8   \n",
       "4   9000000     2122       54      2123      1   18564613  1872       6   \n",
       "\n",
       "   released  runtime  score  star   votes  writer  year  yearcorrect  \n",
       "0        39       89    8.1  2454  299174    3716  1986            0  \n",
       "1        27      103    7.8  1605  264740    1970  1986            0  \n",
       "2        23      110    6.9  2345  236909    1852  1986            0  \n",
       "3        33      137    8.4  2192  540152    1629  1986            0  \n",
       "4        36       90    6.9  1139   36636    2549  1986            0  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Converting text columns into a numerical value\n",
    "\n",
    "df_numeral = df\n",
    "\n",
    "for col_name in df_numeral.columns:\n",
    "    if(df_numeral[col_name].dtype == 'object'):\n",
    "        df_numeral[col_name] = df_numeral[col_name].astype('category')\n",
    "        df_numeral[col_name] = df_numeral[col_name].cat.codes\n",
    "\n",
    "df_numeral.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "919a4ad0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Given there is now a numerical representation for all attributes, we can now provide a correlation matrix for all included data aspects of a movie\n",
    "\n",
    "correlation_matrix = df_numeral.corr(method='pearson')\n",
    "\n",
    "sns.heatmap(correlation_matrix, annot=True)\n",
    "\n",
    "plt.title('Correlation Matrix')\n",
    "\n",
    "plt.xlabel('Movie Features')\n",
    "\n",
    "plt.ylabel('Movie Features')\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# For example, the data show:\n",
    "# Runtine has a 0.22 correlation with gross, genre has -0.35 correlation with budget."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "ec305958",
   "metadata": {},
   "outputs": [
    {
     "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>budget</th>\n",
       "      <th>company</th>\n",
       "      <th>country</th>\n",
       "      <th>director</th>\n",
       "      <th>genre</th>\n",
       "      <th>gross</th>\n",
       "      <th>name</th>\n",
       "      <th>rating</th>\n",
       "      <th>released</th>\n",
       "      <th>runtime</th>\n",
       "      <th>score</th>\n",
       "      <th>star</th>\n",
       "      <th>votes</th>\n",
       "      <th>writer</th>\n",
       "      <th>year</th>\n",
       "      <th>yearcorrect</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>budget</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.187205</td>\n",
       "      <td>0.137635</td>\n",
       "      <td>0.011602</td>\n",
       "      <td>-0.346794</td>\n",
       "      <td>0.712196</td>\n",
       "      <td>0.028712</td>\n",
       "      <td>-0.119660</td>\n",
       "      <td>0.276635</td>\n",
       "      <td>0.268226</td>\n",
       "      <td>0.042145</td>\n",
       "      <td>-0.015062</td>\n",
       "      <td>0.503924</td>\n",
       "      <td>-0.015611</td>\n",
       "      <td>0.291009</td>\n",
       "      <td>0.274820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>company</th>\n",
       "      <td>0.187205</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.107950</td>\n",
       "      <td>0.004320</td>\n",
       "      <td>-0.068330</td>\n",
       "      <td>0.187220</td>\n",
       "      <td>0.018098</td>\n",
       "      <td>-0.062250</td>\n",
       "      <td>0.027898</td>\n",
       "      <td>0.033058</td>\n",
       "      <td>-0.010426</td>\n",
       "      <td>-0.003160</td>\n",
       "      <td>0.138662</td>\n",
       "      <td>-0.004032</td>\n",
       "      <td>0.036272</td>\n",
       "      <td>0.028012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <td>0.137635</td>\n",
       "      <td>0.107950</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.003699</td>\n",
       "      <td>-0.042793</td>\n",
       "      <td>0.149988</td>\n",
       "      <td>0.025020</td>\n",
       "      <td>0.057979</td>\n",
       "      <td>-0.062609</td>\n",
       "      <td>-0.081796</td>\n",
       "      <td>-0.174414</td>\n",
       "      <td>-0.014569</td>\n",
       "      <td>0.078657</td>\n",
       "      <td>0.024982</td>\n",
       "      <td>-0.045204</td>\n",
       "      <td>-0.062707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>0.011602</td>\n",
       "      <td>0.004320</td>\n",
       "      <td>0.003699</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.027669</td>\n",
       "      <td>-0.011429</td>\n",
       "      <td>0.001906</td>\n",
       "      <td>0.021926</td>\n",
       "      <td>0.001440</td>\n",
       "      <td>0.026779</td>\n",
       "      <td>0.017130</td>\n",
       "      <td>0.039813</td>\n",
       "      <td>0.000639</td>\n",
       "      <td>0.298997</td>\n",
       "      <td>-0.000087</td>\n",
       "      <td>0.001823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>genre</th>\n",
       "      <td>-0.346794</td>\n",
       "      <td>-0.068330</td>\n",
       "      <td>-0.042793</td>\n",
       "      <td>-0.027669</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.242676</td>\n",
       "      <td>0.018062</td>\n",
       "      <td>0.100960</td>\n",
       "      <td>-0.039179</td>\n",
       "      <td>-0.041357</td>\n",
       "      <td>0.056234</td>\n",
       "      <td>0.008140</td>\n",
       "      <td>-0.150519</td>\n",
       "      <td>-0.000608</td>\n",
       "      <td>-0.046259</td>\n",
       "      <td>-0.039014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gross</th>\n",
       "      <td>0.712196</td>\n",
       "      <td>0.187220</td>\n",
       "      <td>0.149988</td>\n",
       "      <td>-0.011429</td>\n",
       "      <td>-0.242676</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.022768</td>\n",
       "      <td>-0.135538</td>\n",
       "      <td>0.178564</td>\n",
       "      <td>0.224579</td>\n",
       "      <td>0.165693</td>\n",
       "      <td>0.008381</td>\n",
       "      <td>0.662457</td>\n",
       "      <td>-0.009455</td>\n",
       "      <td>0.191548</td>\n",
       "      <td>0.176879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <td>0.028712</td>\n",
       "      <td>0.018098</td>\n",
       "      <td>0.025020</td>\n",
       "      <td>0.001906</td>\n",
       "      <td>0.018062</td>\n",
       "      <td>0.022768</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.001289</td>\n",
       "      <td>0.024120</td>\n",
       "      <td>0.013942</td>\n",
       "      <td>0.023342</td>\n",
       "      <td>-0.001910</td>\n",
       "      <td>0.023665</td>\n",
       "      <td>0.009821</td>\n",
       "      <td>0.024624</td>\n",
       "      <td>0.023411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rating</th>\n",
       "      <td>-0.119660</td>\n",
       "      <td>-0.062250</td>\n",
       "      <td>0.057979</td>\n",
       "      <td>0.021926</td>\n",
       "      <td>0.100960</td>\n",
       "      <td>-0.135538</td>\n",
       "      <td>0.001289</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.016696</td>\n",
       "      <td>0.079542</td>\n",
       "      <td>0.019271</td>\n",
       "      <td>0.007891</td>\n",
       "      <td>0.011678</td>\n",
       "      <td>0.010741</td>\n",
       "      <td>0.016221</td>\n",
       "      <td>0.017438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>released</th>\n",
       "      <td>0.276635</td>\n",
       "      <td>0.027898</td>\n",
       "      <td>-0.062609</td>\n",
       "      <td>0.001440</td>\n",
       "      <td>-0.039179</td>\n",
       "      <td>0.178564</td>\n",
       "      <td>0.024120</td>\n",
       "      <td>0.016696</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.091102</td>\n",
       "      <td>0.119577</td>\n",
       "      <td>-0.025506</td>\n",
       "      <td>0.221736</td>\n",
       "      <td>-0.004634</td>\n",
       "      <td>0.996187</td>\n",
       "      <td>0.999389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>runtime</th>\n",
       "      <td>0.268226</td>\n",
       "      <td>0.033058</td>\n",
       "      <td>-0.081796</td>\n",
       "      <td>0.026779</td>\n",
       "      <td>-0.041357</td>\n",
       "      <td>0.224579</td>\n",
       "      <td>0.013942</td>\n",
       "      <td>0.079542</td>\n",
       "      <td>0.091102</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.395343</td>\n",
       "      <td>0.016019</td>\n",
       "      <td>0.317399</td>\n",
       "      <td>0.000759</td>\n",
       "      <td>0.087639</td>\n",
       "      <td>0.088342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>score</th>\n",
       "      <td>0.042145</td>\n",
       "      <td>-0.010426</td>\n",
       "      <td>-0.174414</td>\n",
       "      <td>0.017130</td>\n",
       "      <td>0.056234</td>\n",
       "      <td>0.165693</td>\n",
       "      <td>0.023342</td>\n",
       "      <td>0.019271</td>\n",
       "      <td>0.119577</td>\n",
       "      <td>0.395343</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.009483</td>\n",
       "      <td>0.393607</td>\n",
       "      <td>0.012223</td>\n",
       "      <td>0.105276</td>\n",
       "      <td>0.117679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>star</th>\n",
       "      <td>-0.015062</td>\n",
       "      <td>-0.003160</td>\n",
       "      <td>-0.014569</td>\n",
       "      <td>0.039813</td>\n",
       "      <td>0.008140</td>\n",
       "      <td>0.008381</td>\n",
       "      <td>-0.001910</td>\n",
       "      <td>0.007891</td>\n",
       "      <td>-0.025506</td>\n",
       "      <td>0.016019</td>\n",
       "      <td>0.009483</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.011920</td>\n",
       "      <td>0.035378</td>\n",
       "      <td>-0.026682</td>\n",
       "      <td>-0.026052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>votes</th>\n",
       "      <td>0.503924</td>\n",
       "      <td>0.138662</td>\n",
       "      <td>0.078657</td>\n",
       "      <td>0.000639</td>\n",
       "      <td>-0.150519</td>\n",
       "      <td>0.662457</td>\n",
       "      <td>0.023665</td>\n",
       "      <td>0.011678</td>\n",
       "      <td>0.221736</td>\n",
       "      <td>0.317399</td>\n",
       "      <td>0.393607</td>\n",
       "      <td>-0.011920</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.001154</td>\n",
       "      <td>0.229304</td>\n",
       "      <td>0.220797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>-0.015611</td>\n",
       "      <td>-0.004032</td>\n",
       "      <td>0.024982</td>\n",
       "      <td>0.298997</td>\n",
       "      <td>-0.000608</td>\n",
       "      <td>-0.009455</td>\n",
       "      <td>0.009821</td>\n",
       "      <td>0.010741</td>\n",
       "      <td>-0.004634</td>\n",
       "      <td>0.000759</td>\n",
       "      <td>0.012223</td>\n",
       "      <td>0.035378</td>\n",
       "      <td>0.001154</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.005664</td>\n",
       "      <td>-0.004546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <td>0.291009</td>\n",
       "      <td>0.036272</td>\n",
       "      <td>-0.045204</td>\n",
       "      <td>-0.000087</td>\n",
       "      <td>-0.046259</td>\n",
       "      <td>0.191548</td>\n",
       "      <td>0.024624</td>\n",
       "      <td>0.016221</td>\n",
       "      <td>0.996187</td>\n",
       "      <td>0.087639</td>\n",
       "      <td>0.105276</td>\n",
       "      <td>-0.026682</td>\n",
       "      <td>0.229304</td>\n",
       "      <td>-0.005664</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.996229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yearcorrect</th>\n",
       "      <td>0.274820</td>\n",
       "      <td>0.028012</td>\n",
       "      <td>-0.062707</td>\n",
       "      <td>0.001823</td>\n",
       "      <td>-0.039014</td>\n",
       "      <td>0.176879</td>\n",
       "      <td>0.023411</td>\n",
       "      <td>0.017438</td>\n",
       "      <td>0.999389</td>\n",
       "      <td>0.088342</td>\n",
       "      <td>0.117679</td>\n",
       "      <td>-0.026052</td>\n",
       "      <td>0.220797</td>\n",
       "      <td>-0.004546</td>\n",
       "      <td>0.996229</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               budget   company   country  director     genre     gross  \\\n",
       "budget       1.000000  0.187205  0.137635  0.011602 -0.346794  0.712196   \n",
       "company      0.187205  1.000000  0.107950  0.004320 -0.068330  0.187220   \n",
       "country      0.137635  0.107950  1.000000  0.003699 -0.042793  0.149988   \n",
       "director     0.011602  0.004320  0.003699  1.000000 -0.027669 -0.011429   \n",
       "genre       -0.346794 -0.068330 -0.042793 -0.027669  1.000000 -0.242676   \n",
       "gross        0.712196  0.187220  0.149988 -0.011429 -0.242676  1.000000   \n",
       "name         0.028712  0.018098  0.025020  0.001906  0.018062  0.022768   \n",
       "rating      -0.119660 -0.062250  0.057979  0.021926  0.100960 -0.135538   \n",
       "released     0.276635  0.027898 -0.062609  0.001440 -0.039179  0.178564   \n",
       "runtime      0.268226  0.033058 -0.081796  0.026779 -0.041357  0.224579   \n",
       "score        0.042145 -0.010426 -0.174414  0.017130  0.056234  0.165693   \n",
       "star        -0.015062 -0.003160 -0.014569  0.039813  0.008140  0.008381   \n",
       "votes        0.503924  0.138662  0.078657  0.000639 -0.150519  0.662457   \n",
       "writer      -0.015611 -0.004032  0.024982  0.298997 -0.000608 -0.009455   \n",
       "year         0.291009  0.036272 -0.045204 -0.000087 -0.046259  0.191548   \n",
       "yearcorrect  0.274820  0.028012 -0.062707  0.001823 -0.039014  0.176879   \n",
       "\n",
       "                 name    rating  released   runtime     score      star  \\\n",
       "budget       0.028712 -0.119660  0.276635  0.268226  0.042145 -0.015062   \n",
       "company      0.018098 -0.062250  0.027898  0.033058 -0.010426 -0.003160   \n",
       "country      0.025020  0.057979 -0.062609 -0.081796 -0.174414 -0.014569   \n",
       "director     0.001906  0.021926  0.001440  0.026779  0.017130  0.039813   \n",
       "genre        0.018062  0.100960 -0.039179 -0.041357  0.056234  0.008140   \n",
       "gross        0.022768 -0.135538  0.178564  0.224579  0.165693  0.008381   \n",
       "name         1.000000  0.001289  0.024120  0.013942  0.023342 -0.001910   \n",
       "rating       0.001289  1.000000  0.016696  0.079542  0.019271  0.007891   \n",
       "released     0.024120  0.016696  1.000000  0.091102  0.119577 -0.025506   \n",
       "runtime      0.013942  0.079542  0.091102  1.000000  0.395343  0.016019   \n",
       "score        0.023342  0.019271  0.119577  0.395343  1.000000  0.009483   \n",
       "star        -0.001910  0.007891 -0.025506  0.016019  0.009483  1.000000   \n",
       "votes        0.023665  0.011678  0.221736  0.317399  0.393607 -0.011920   \n",
       "writer       0.009821  0.010741 -0.004634  0.000759  0.012223  0.035378   \n",
       "year         0.024624  0.016221  0.996187  0.087639  0.105276 -0.026682   \n",
       "yearcorrect  0.023411  0.017438  0.999389  0.088342  0.117679 -0.026052   \n",
       "\n",
       "                votes    writer      year  yearcorrect  \n",
       "budget       0.503924 -0.015611  0.291009     0.274820  \n",
       "company      0.138662 -0.004032  0.036272     0.028012  \n",
       "country      0.078657  0.024982 -0.045204    -0.062707  \n",
       "director     0.000639  0.298997 -0.000087     0.001823  \n",
       "genre       -0.150519 -0.000608 -0.046259    -0.039014  \n",
       "gross        0.662457 -0.009455  0.191548     0.176879  \n",
       "name         0.023665  0.009821  0.024624     0.023411  \n",
       "rating       0.011678  0.010741  0.016221     0.017438  \n",
       "released     0.221736 -0.004634  0.996187     0.999389  \n",
       "runtime      0.317399  0.000759  0.087639     0.088342  \n",
       "score        0.393607  0.012223  0.105276     0.117679  \n",
       "star        -0.011920  0.035378 -0.026682    -0.026052  \n",
       "votes        1.000000  0.001154  0.229304     0.220797  \n",
       "writer       0.001154  1.000000 -0.005664    -0.004546  \n",
       "year         0.229304 -0.005664  1.000000     0.996229  \n",
       "yearcorrect  0.220797 -0.004546  0.996229     1.000000  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To view output in, maybe, an easier manner\n",
    "\n",
    "df_numeral.corr()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "84fa78b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget       budget         1.000000\n",
       "             company        0.187205\n",
       "             country        0.137635\n",
       "             director       0.011602\n",
       "             genre         -0.346794\n",
       "             gross          0.712196\n",
       "             name           0.028712\n",
       "             rating        -0.119660\n",
       "             released       0.276635\n",
       "             runtime        0.268226\n",
       "             score          0.042145\n",
       "             star          -0.015062\n",
       "             votes          0.503924\n",
       "             writer        -0.015611\n",
       "             year           0.291009\n",
       "             yearcorrect    0.274820\n",
       "company      budget         0.187205\n",
       "             company        1.000000\n",
       "             country        0.107950\n",
       "             director       0.004320\n",
       "             genre         -0.068330\n",
       "             gross          0.187220\n",
       "             name           0.018098\n",
       "             rating        -0.062250\n",
       "             released       0.027898\n",
       "             runtime        0.033058\n",
       "             score         -0.010426\n",
       "             star          -0.003160\n",
       "             votes          0.138662\n",
       "             writer        -0.004032\n",
       "             year           0.036272\n",
       "             yearcorrect    0.028012\n",
       "country      budget         0.137635\n",
       "             company        0.107950\n",
       "             country        1.000000\n",
       "             director       0.003699\n",
       "             genre         -0.042793\n",
       "             gross          0.149988\n",
       "             name           0.025020\n",
       "             rating         0.057979\n",
       "             released      -0.062609\n",
       "             runtime       -0.081796\n",
       "             score         -0.174414\n",
       "             star          -0.014569\n",
       "             votes          0.078657\n",
       "             writer         0.024982\n",
       "             year          -0.045204\n",
       "             yearcorrect   -0.062707\n",
       "director     budget         0.011602\n",
       "             company        0.004320\n",
       "             country        0.003699\n",
       "             director       1.000000\n",
       "             genre         -0.027669\n",
       "             gross         -0.011429\n",
       "             name           0.001906\n",
       "             rating         0.021926\n",
       "             released       0.001440\n",
       "             runtime        0.026779\n",
       "             score          0.017130\n",
       "             star           0.039813\n",
       "             votes          0.000639\n",
       "             writer         0.298997\n",
       "             year          -0.000087\n",
       "             yearcorrect    0.001823\n",
       "genre        budget        -0.346794\n",
       "             company       -0.068330\n",
       "             country       -0.042793\n",
       "             director      -0.027669\n",
       "             genre          1.000000\n",
       "             gross         -0.242676\n",
       "             name           0.018062\n",
       "             rating         0.100960\n",
       "             released      -0.039179\n",
       "             runtime       -0.041357\n",
       "             score          0.056234\n",
       "             star           0.008140\n",
       "             votes         -0.150519\n",
       "             writer        -0.000608\n",
       "             year          -0.046259\n",
       "             yearcorrect   -0.039014\n",
       "gross        budget         0.712196\n",
       "             company        0.187220\n",
       "             country        0.149988\n",
       "             director      -0.011429\n",
       "             genre         -0.242676\n",
       "             gross          1.000000\n",
       "             name           0.022768\n",
       "             rating        -0.135538\n",
       "             released       0.178564\n",
       "             runtime        0.224579\n",
       "             score          0.165693\n",
       "             star           0.008381\n",
       "             votes          0.662457\n",
       "             writer        -0.009455\n",
       "             year           0.191548\n",
       "             yearcorrect    0.176879\n",
       "name         budget         0.028712\n",
       "             company        0.018098\n",
       "             country        0.025020\n",
       "             director       0.001906\n",
       "             genre          0.018062\n",
       "             gross          0.022768\n",
       "             name           1.000000\n",
       "             rating         0.001289\n",
       "             released       0.024120\n",
       "             runtime        0.013942\n",
       "             score          0.023342\n",
       "             star          -0.001910\n",
       "             votes          0.023665\n",
       "             writer         0.009821\n",
       "             year           0.024624\n",
       "             yearcorrect    0.023411\n",
       "rating       budget        -0.119660\n",
       "             company       -0.062250\n",
       "             country        0.057979\n",
       "             director       0.021926\n",
       "             genre          0.100960\n",
       "             gross         -0.135538\n",
       "             name           0.001289\n",
       "             rating         1.000000\n",
       "             released       0.016696\n",
       "             runtime        0.079542\n",
       "             score          0.019271\n",
       "             star           0.007891\n",
       "             votes          0.011678\n",
       "             writer         0.010741\n",
       "             year           0.016221\n",
       "             yearcorrect    0.017438\n",
       "released     budget         0.276635\n",
       "             company        0.027898\n",
       "             country       -0.062609\n",
       "             director       0.001440\n",
       "             genre         -0.039179\n",
       "             gross          0.178564\n",
       "             name           0.024120\n",
       "             rating         0.016696\n",
       "             released       1.000000\n",
       "             runtime        0.091102\n",
       "             score          0.119577\n",
       "             star          -0.025506\n",
       "             votes          0.221736\n",
       "             writer        -0.004634\n",
       "             year           0.996187\n",
       "             yearcorrect    0.999389\n",
       "runtime      budget         0.268226\n",
       "             company        0.033058\n",
       "             country       -0.081796\n",
       "             director       0.026779\n",
       "             genre         -0.041357\n",
       "             gross          0.224579\n",
       "             name           0.013942\n",
       "             rating         0.079542\n",
       "             released       0.091102\n",
       "             runtime        1.000000\n",
       "             score          0.395343\n",
       "             star           0.016019\n",
       "             votes          0.317399\n",
       "             writer         0.000759\n",
       "             year           0.087639\n",
       "             yearcorrect    0.088342\n",
       "score        budget         0.042145\n",
       "             company       -0.010426\n",
       "             country       -0.174414\n",
       "             director       0.017130\n",
       "             genre          0.056234\n",
       "             gross          0.165693\n",
       "             name           0.023342\n",
       "             rating         0.019271\n",
       "             released       0.119577\n",
       "             runtime        0.395343\n",
       "             score          1.000000\n",
       "             star           0.009483\n",
       "             votes          0.393607\n",
       "             writer         0.012223\n",
       "             year           0.105276\n",
       "             yearcorrect    0.117679\n",
       "star         budget        -0.015062\n",
       "             company       -0.003160\n",
       "             country       -0.014569\n",
       "             director       0.039813\n",
       "             genre          0.008140\n",
       "             gross          0.008381\n",
       "             name          -0.001910\n",
       "             rating         0.007891\n",
       "             released      -0.025506\n",
       "             runtime        0.016019\n",
       "             score          0.009483\n",
       "             star           1.000000\n",
       "             votes         -0.011920\n",
       "             writer         0.035378\n",
       "             year          -0.026682\n",
       "             yearcorrect   -0.026052\n",
       "votes        budget         0.503924\n",
       "             company        0.138662\n",
       "             country        0.078657\n",
       "             director       0.000639\n",
       "             genre         -0.150519\n",
       "             gross          0.662457\n",
       "             name           0.023665\n",
       "             rating         0.011678\n",
       "             released       0.221736\n",
       "             runtime        0.317399\n",
       "             score          0.393607\n",
       "             star          -0.011920\n",
       "             votes          1.000000\n",
       "             writer         0.001154\n",
       "             year           0.229304\n",
       "             yearcorrect    0.220797\n",
       "writer       budget        -0.015611\n",
       "             company       -0.004032\n",
       "             country        0.024982\n",
       "             director       0.298997\n",
       "             genre         -0.000608\n",
       "             gross         -0.009455\n",
       "             name           0.009821\n",
       "             rating         0.010741\n",
       "             released      -0.004634\n",
       "             runtime        0.000759\n",
       "             score          0.012223\n",
       "             star           0.035378\n",
       "             votes          0.001154\n",
       "             writer         1.000000\n",
       "             year          -0.005664\n",
       "             yearcorrect   -0.004546\n",
       "year         budget         0.291009\n",
       "             company        0.036272\n",
       "             country       -0.045204\n",
       "             director      -0.000087\n",
       "             genre         -0.046259\n",
       "             gross          0.191548\n",
       "             name           0.024624\n",
       "             rating         0.016221\n",
       "             released       0.996187\n",
       "             runtime        0.087639\n",
       "             score          0.105276\n",
       "             star          -0.026682\n",
       "             votes          0.229304\n",
       "             writer        -0.005664\n",
       "             year           1.000000\n",
       "             yearcorrect    0.996229\n",
       "yearcorrect  budget         0.274820\n",
       "             company        0.028012\n",
       "             country       -0.062707\n",
       "             director       0.001823\n",
       "             genre         -0.039014\n",
       "             gross          0.176879\n",
       "             name           0.023411\n",
       "             rating         0.017438\n",
       "             released       0.999389\n",
       "             runtime        0.088342\n",
       "             score          0.117679\n",
       "             star          -0.026052\n",
       "             votes          0.220797\n",
       "             writer        -0.004546\n",
       "             year           0.996229\n",
       "             yearcorrect    1.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Organising the abouve correation output to see those with the higher correlation quicker.\n",
    "\n",
    "# Unstacking will allow for each attribute to be aligned with each other (alphabetical) attribute and their correlation value.\n",
    "\n",
    "correlation_mat = df_numeral.corr()\n",
    "\n",
    "corr_pairs = correlation_mat.unstack()\n",
    "\n",
    "corr_pairs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "632a0356",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "genre        budget        -0.346794\n",
       "budget       genre         -0.346794\n",
       "gross        genre         -0.242676\n",
       "genre        gross         -0.242676\n",
       "score        country       -0.174414\n",
       "country      score         -0.174414\n",
       "votes        genre         -0.150519\n",
       "genre        votes         -0.150519\n",
       "rating       gross         -0.135538\n",
       "gross        rating        -0.135538\n",
       "budget       rating        -0.119660\n",
       "rating       budget        -0.119660\n",
       "country      runtime       -0.081796\n",
       "runtime      country       -0.081796\n",
       "genre        company       -0.068330\n",
       "company      genre         -0.068330\n",
       "country      yearcorrect   -0.062707\n",
       "yearcorrect  country       -0.062707\n",
       "country      released      -0.062609\n",
       "released     country       -0.062609\n",
       "rating       company       -0.062250\n",
       "company      rating        -0.062250\n",
       "year         genre         -0.046259\n",
       "genre        year          -0.046259\n",
       "country      year          -0.045204\n",
       "year         country       -0.045204\n",
       "genre        country       -0.042793\n",
       "country      genre         -0.042793\n",
       "genre        runtime       -0.041357\n",
       "runtime      genre         -0.041357\n",
       "released     genre         -0.039179\n",
       "genre        released      -0.039179\n",
       "             yearcorrect   -0.039014\n",
       "yearcorrect  genre         -0.039014\n",
       "genre        director      -0.027669\n",
       "director     genre         -0.027669\n",
       "star         year          -0.026682\n",
       "year         star          -0.026682\n",
       "yearcorrect  star          -0.026052\n",
       "star         yearcorrect   -0.026052\n",
       "             released      -0.025506\n",
       "released     star          -0.025506\n",
       "budget       writer        -0.015611\n",
       "writer       budget        -0.015611\n",
       "budget       star          -0.015062\n",
       "star         budget        -0.015062\n",
       "             country       -0.014569\n",
       "country      star          -0.014569\n",
       "star         votes         -0.011920\n",
       "votes        star          -0.011920\n",
       "gross        director      -0.011429\n",
       "director     gross         -0.011429\n",
       "score        company       -0.010426\n",
       "company      score         -0.010426\n",
       "gross        writer        -0.009455\n",
       "writer       gross         -0.009455\n",
       "             year          -0.005664\n",
       "year         writer        -0.005664\n",
       "writer       released      -0.004634\n",
       "released     writer        -0.004634\n",
       "writer       yearcorrect   -0.004546\n",
       "yearcorrect  writer        -0.004546\n",
       "company      writer        -0.004032\n",
       "writer       company       -0.004032\n",
       "star         company       -0.003160\n",
       "company      star          -0.003160\n",
       "star         name          -0.001910\n",
       "name         star          -0.001910\n",
       "writer       genre         -0.000608\n",
       "genre        writer        -0.000608\n",
       "year         director      -0.000087\n",
       "director     year          -0.000087\n",
       "             votes          0.000639\n",
       "votes        director       0.000639\n",
       "runtime      writer         0.000759\n",
       "writer       runtime        0.000759\n",
       "votes        writer         0.001154\n",
       "writer       votes          0.001154\n",
       "rating       name           0.001289\n",
       "name         rating         0.001289\n",
       "released     director       0.001440\n",
       "director     released       0.001440\n",
       "             yearcorrect    0.001823\n",
       "yearcorrect  director       0.001823\n",
       "name         director       0.001906\n",
       "director     name           0.001906\n",
       "             country        0.003699\n",
       "country      director       0.003699\n",
       "director     company        0.004320\n",
       "company      director       0.004320\n",
       "star         rating         0.007891\n",
       "rating       star           0.007891\n",
       "genre        star           0.008140\n",
       "star         genre          0.008140\n",
       "             gross          0.008381\n",
       "gross        star           0.008381\n",
       "score        star           0.009483\n",
       "star         score          0.009483\n",
       "writer       name           0.009821\n",
       "name         writer         0.009821\n",
       "writer       rating         0.010741\n",
       "rating       writer         0.010741\n",
       "budget       director       0.011602\n",
       "director     budget         0.011602\n",
       "rating       votes          0.011678\n",
       "votes        rating         0.011678\n",
       "score        writer         0.012223\n",
       "writer       score          0.012223\n",
       "runtime      name           0.013942\n",
       "name         runtime        0.013942\n",
       "star         runtime        0.016019\n",
       "runtime      star           0.016019\n",
       "year         rating         0.016221\n",
       "rating       year           0.016221\n",
       "released     rating         0.016696\n",
       "rating       released       0.016696\n",
       "score        director       0.017130\n",
       "director     score          0.017130\n",
       "rating       yearcorrect    0.017438\n",
       "yearcorrect  rating         0.017438\n",
       "genre        name           0.018062\n",
       "name         genre          0.018062\n",
       "             company        0.018098\n",
       "company      name           0.018098\n",
       "rating       score          0.019271\n",
       "score        rating         0.019271\n",
       "rating       director       0.021926\n",
       "director     rating         0.021926\n",
       "name         gross          0.022768\n",
       "gross        name           0.022768\n",
       "name         score          0.023342\n",
       "score        name           0.023342\n",
       "name         yearcorrect    0.023411\n",
       "yearcorrect  name           0.023411\n",
       "name         votes          0.023665\n",
       "votes        name           0.023665\n",
       "name         released       0.024120\n",
       "released     name           0.024120\n",
       "year         name           0.024624\n",
       "name         year           0.024624\n",
       "writer       country        0.024982\n",
       "country      writer         0.024982\n",
       "name         country        0.025020\n",
       "country      name           0.025020\n",
       "runtime      director       0.026779\n",
       "director     runtime        0.026779\n",
       "released     company        0.027898\n",
       "company      released       0.027898\n",
       "yearcorrect  company        0.028012\n",
       "company      yearcorrect    0.028012\n",
       "name         budget         0.028712\n",
       "budget       name           0.028712\n",
       "company      runtime        0.033058\n",
       "runtime      company        0.033058\n",
       "writer       star           0.035378\n",
       "star         writer         0.035378\n",
       "year         company        0.036272\n",
       "company      year           0.036272\n",
       "director     star           0.039813\n",
       "star         director       0.039813\n",
       "score        budget         0.042145\n",
       "budget       score          0.042145\n",
       "score        genre          0.056234\n",
       "genre        score          0.056234\n",
       "country      rating         0.057979\n",
       "rating       country        0.057979\n",
       "votes        country        0.078657\n",
       "country      votes          0.078657\n",
       "runtime      rating         0.079542\n",
       "rating       runtime        0.079542\n",
       "runtime      year           0.087639\n",
       "year         runtime        0.087639\n",
       "runtime      yearcorrect    0.088342\n",
       "yearcorrect  runtime        0.088342\n",
       "runtime      released       0.091102\n",
       "released     runtime        0.091102\n",
       "genre        rating         0.100960\n",
       "rating       genre          0.100960\n",
       "year         score          0.105276\n",
       "score        year           0.105276\n",
       "company      country        0.107950\n",
       "country      company        0.107950\n",
       "score        yearcorrect    0.117679\n",
       "yearcorrect  score          0.117679\n",
       "released     score          0.119577\n",
       "score        released       0.119577\n",
       "budget       country        0.137635\n",
       "country      budget         0.137635\n",
       "company      votes          0.138662\n",
       "votes        company        0.138662\n",
       "gross        country        0.149988\n",
       "country      gross          0.149988\n",
       "score        gross          0.165693\n",
       "gross        score          0.165693\n",
       "yearcorrect  gross          0.176879\n",
       "gross        yearcorrect    0.176879\n",
       "released     gross          0.178564\n",
       "gross        released       0.178564\n",
       "budget       company        0.187205\n",
       "company      budget         0.187205\n",
       "             gross          0.187220\n",
       "gross        company        0.187220\n",
       "year         gross          0.191548\n",
       "gross        year           0.191548\n",
       "yearcorrect  votes          0.220797\n",
       "votes        yearcorrect    0.220797\n",
       "released     votes          0.221736\n",
       "votes        released       0.221736\n",
       "runtime      gross          0.224579\n",
       "gross        runtime        0.224579\n",
       "year         votes          0.229304\n",
       "votes        year           0.229304\n",
       "runtime      budget         0.268226\n",
       "budget       runtime        0.268226\n",
       "yearcorrect  budget         0.274820\n",
       "budget       yearcorrect    0.274820\n",
       "released     budget         0.276635\n",
       "budget       released       0.276635\n",
       "             year           0.291009\n",
       "year         budget         0.291009\n",
       "writer       director       0.298997\n",
       "director     writer         0.298997\n",
       "runtime      votes          0.317399\n",
       "votes        runtime        0.317399\n",
       "score        votes          0.393607\n",
       "votes        score          0.393607\n",
       "score        runtime        0.395343\n",
       "runtime      score          0.395343\n",
       "votes        budget         0.503924\n",
       "budget       votes          0.503924\n",
       "votes        gross          0.662457\n",
       "gross        votes          0.662457\n",
       "             budget         0.712196\n",
       "budget       gross          0.712196\n",
       "released     year           0.996187\n",
       "year         released       0.996187\n",
       "yearcorrect  year           0.996229\n",
       "year         yearcorrect    0.996229\n",
       "yearcorrect  released       0.999389\n",
       "released     yearcorrect    0.999389\n",
       "budget       budget         1.000000\n",
       "writer       writer         1.000000\n",
       "votes        votes          1.000000\n",
       "star         star           1.000000\n",
       "score        score          1.000000\n",
       "runtime      runtime        1.000000\n",
       "released     released       1.000000\n",
       "rating       rating         1.000000\n",
       "name         name           1.000000\n",
       "gross        gross          1.000000\n",
       "genre        genre          1.000000\n",
       "director     director       1.000000\n",
       "country      country        1.000000\n",
       "company      company        1.000000\n",
       "year         year           1.000000\n",
       "yearcorrect  yearcorrect    1.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_pairs = corr_pairs.sort_values()\n",
    "\n",
    "sorted_pairs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "88de544f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "votes        budget         0.503924\n",
       "budget       votes          0.503924\n",
       "votes        gross          0.662457\n",
       "gross        votes          0.662457\n",
       "             budget         0.712196\n",
       "budget       gross          0.712196\n",
       "released     year           0.996187\n",
       "year         released       0.996187\n",
       "yearcorrect  year           0.996229\n",
       "year         yearcorrect    0.996229\n",
       "yearcorrect  released       0.999389\n",
       "released     yearcorrect    0.999389\n",
       "budget       budget         1.000000\n",
       "writer       writer         1.000000\n",
       "votes        votes          1.000000\n",
       "star         star           1.000000\n",
       "score        score          1.000000\n",
       "runtime      runtime        1.000000\n",
       "released     released       1.000000\n",
       "rating       rating         1.000000\n",
       "name         name           1.000000\n",
       "gross        gross          1.000000\n",
       "genre        genre          1.000000\n",
       "director     director       1.000000\n",
       "country      country        1.000000\n",
       "company      company        1.000000\n",
       "year         year           1.000000\n",
       "yearcorrect  yearcorrect    1.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Outlining highly positively correlated pairs\n",
    "\n",
    "high_corr = sorted_pairs[(sorted_pairs) > 0.5]\n",
    "\n",
    "high_corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f46dce6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Votes and budget have the highest correlation to gross earnings.\n",
    "\n",
    "# Company has low correlation."
   ]
  }
 ],
 "metadata": {
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   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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