MovieDataAnalysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "d18b2895-0b96-4f0f-b46d-d8bc4a319057",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import libraries\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)\n",
    "\n",
    "#Read in the data\n",
    "\n",
    "df = pd.read_csv(r'/Users/trungdao/Downloads/movies.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "3051e470-3525-4ffd-9aa7-89f5189793c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>8.4</td>\n",
       "      <td>927000.0</td>\n",
       "      <td>Stanley Kubrick</td>\n",
       "      <td>Stephen King</td>\n",
       "      <td>Jack Nicholson</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>19000000.0</td>\n",
       "      <td>46998772.0</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>5.8</td>\n",
       "      <td>65000.0</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>4500000.0</td>\n",
       "      <td>58853106.0</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>8.7</td>\n",
       "      <td>1200000.0</td>\n",
       "      <td>Irvin Kershner</td>\n",
       "      <td>Leigh Brackett</td>\n",
       "      <td>Mark Hamill</td>\n",
       "      <td>United States</td>\n",
       "      <td>18000000.0</td>\n",
       "      <td>538375067.0</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>7.7</td>\n",
       "      <td>221000.0</td>\n",
       "      <td>Jim Abrahams</td>\n",
       "      <td>Jim Abrahams</td>\n",
       "      <td>Robert Hays</td>\n",
       "      <td>United States</td>\n",
       "      <td>3500000.0</td>\n",
       "      <td>83453539.0</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>7.3</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>Harold Ramis</td>\n",
       "      <td>Brian Doyle-Murray</td>\n",
       "      <td>Chevy Chase</td>\n",
       "      <td>United States</td>\n",
       "      <td>6000000.0</td>\n",
       "      <td>39846344.0</td>\n",
       "      <td>Orion Pictures</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             name rating      genre  year  \\\n",
       "0                                     The Shining      R      Drama  1980   \n",
       "1                                 The Blue Lagoon      R  Adventure  1980   \n",
       "2  Star Wars: Episode V - The Empire Strikes Back     PG     Action  1980   \n",
       "3                                       Airplane!     PG     Comedy  1980   \n",
       "4                                      Caddyshack      R     Comedy  1980   \n",
       "\n",
       "                        released  score      votes         director  \\\n",
       "0  June 13, 1980 (United States)    8.4   927000.0  Stanley Kubrick   \n",
       "1   July 2, 1980 (United States)    5.8    65000.0   Randal Kleiser   \n",
       "2  June 20, 1980 (United States)    8.7  1200000.0   Irvin Kershner   \n",
       "3   July 2, 1980 (United States)    7.7   221000.0     Jim Abrahams   \n",
       "4  July 25, 1980 (United States)    7.3   108000.0     Harold Ramis   \n",
       "\n",
       "                    writer            star         country      budget  \\\n",
       "0             Stephen King  Jack Nicholson  United Kingdom  19000000.0   \n",
       "1  Henry De Vere Stacpoole  Brooke Shields   United States   4500000.0   \n",
       "2           Leigh Brackett     Mark Hamill   United States  18000000.0   \n",
       "3             Jim Abrahams     Robert Hays   United States   3500000.0   \n",
       "4       Brian Doyle-Murray     Chevy Chase   United States   6000000.0   \n",
       "\n",
       "         gross             company  runtime  \n",
       "0   46998772.0        Warner Bros.    146.0  \n",
       "1   58853106.0   Columbia Pictures    104.0  \n",
       "2  538375067.0           Lucasfilm    124.0  \n",
       "3   83453539.0  Paramount Pictures     88.0  \n",
       "4   39846344.0      Orion Pictures     98.0  "
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's look at the data\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "6824b237-a2f0-4dde-bfa4-856072214f32",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name - 0%\n",
      "rating - 1%\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 - 28%\n",
      "gross - 2%\n",
      "company - 0%\n",
      "runtime - 0%\n"
     ]
    }
   ],
   "source": [
    "#Let's see if there is missing data\n",
    "\n",
    "for col in df.columns:\n",
    "    pct_missing = np.mean(df[col].isnull())\n",
    "    print('{} - {}%'.format(col, round(pct_missing*100)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "8004b871-895f-4df4-a0c1-f68ec2c04132",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "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"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Data types for the columns\n",
    "\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "ea5b7fa3-742e-4bec-b17a-daa830959a15",
   "metadata": {},
   "outputs": [],
   "source": [
    "#change data type of columns\n",
    "\n",
    "df['budget'] = pd.to_numeric(df['budget'], errors='coerce').fillna(0).astype(int)\n",
    "df['gross'] = pd.to_numeric(df['gross'], errors='coerce').fillna(0).astype(int) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "85c86ade-e1f7-4a10-9eb2-cb9be81ba828",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <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",
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       "      <th>budget</th>\n",
       "      <th>gross</th>\n",
       "      <th>company</th>\n",
       "      <th>runtime</th>\n",
       "    </tr>\n",
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       "  <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>8.4</td>\n",
       "      <td>927000.0</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>5.8</td>\n",
       "      <td>65000.0</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>8.7</td>\n",
       "      <td>1200000.0</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>7.7</td>\n",
       "      <td>221000.0</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>7.3</td>\n",
       "      <td>108000.0</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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             name rating      genre  year  \\\n",
       "0                                     The Shining      R      Drama  1980   \n",
       "1                                 The Blue Lagoon      R  Adventure  1980   \n",
       "2  Star Wars: Episode V - The Empire Strikes Back     PG     Action  1980   \n",
       "3                                       Airplane!     PG     Comedy  1980   \n",
       "4                                      Caddyshack      R     Comedy  1980   \n",
       "\n",
       "                        released  score      votes         director  \\\n",
       "0  June 13, 1980 (United States)    8.4   927000.0  Stanley Kubrick   \n",
       "1   July 2, 1980 (United States)    5.8    65000.0   Randal Kleiser   \n",
       "2  June 20, 1980 (United States)    8.7  1200000.0   Irvin Kershner   \n",
       "3   July 2, 1980 (United States)    7.7   221000.0     Jim Abrahams   \n",
       "4  July 25, 1980 (United States)    7.3   108000.0     Harold Ramis   \n",
       "\n",
       "                    writer            star         country    budget  \\\n",
       "0             Stephen King  Jack Nicholson  United Kingdom  19000000   \n",
       "1  Henry De Vere Stacpoole  Brooke Shields   United States   4500000   \n",
       "2           Leigh Brackett     Mark Hamill   United States  18000000   \n",
       "3             Jim Abrahams     Robert Hays   United States   3500000   \n",
       "4       Brian Doyle-Murray     Chevy Chase   United States   6000000   \n",
       "\n",
       "       gross             company  runtime  \n",
       "0   46998772        Warner Bros.    146.0  \n",
       "1   58853106   Columbia Pictures    104.0  \n",
       "2  538375067           Lucasfilm    124.0  \n",
       "3   83453539  Paramount Pictures     88.0  \n",
       "4   39846344      Orion Pictures     98.0  "
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "afd9c2c0-2a29-4812-95e3-fed5fa945c2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <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",
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       "      <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",
       "      <th>yearcorrect</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>8.4</td>\n",
       "      <td>927000.0</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",
       "      <td>1980</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>5.8</td>\n",
       "      <td>65000.0</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",
       "      <td>1980</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>8.7</td>\n",
       "      <td>1200000.0</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",
       "      <td>1980</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>7.7</td>\n",
       "      <td>221000.0</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",
       "      <td>1980</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>7.3</td>\n",
       "      <td>108000.0</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",
       "      <td>1980</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             name rating      genre  year  \\\n",
       "0                                     The Shining      R      Drama  1980   \n",
       "1                                 The Blue Lagoon      R  Adventure  1980   \n",
       "2  Star Wars: Episode V - The Empire Strikes Back     PG     Action  1980   \n",
       "3                                       Airplane!     PG     Comedy  1980   \n",
       "4                                      Caddyshack      R     Comedy  1980   \n",
       "\n",
       "                        released  score      votes         director  \\\n",
       "0  June 13, 1980 (United States)    8.4   927000.0  Stanley Kubrick   \n",
       "1   July 2, 1980 (United States)    5.8    65000.0   Randal Kleiser   \n",
       "2  June 20, 1980 (United States)    8.7  1200000.0   Irvin Kershner   \n",
       "3   July 2, 1980 (United States)    7.7   221000.0     Jim Abrahams   \n",
       "4  July 25, 1980 (United States)    7.3   108000.0     Harold Ramis   \n",
       "\n",
       "                    writer            star         country    budget  \\\n",
       "0             Stephen King  Jack Nicholson  United Kingdom  19000000   \n",
       "1  Henry De Vere Stacpoole  Brooke Shields   United States   4500000   \n",
       "2           Leigh Brackett     Mark Hamill   United States  18000000   \n",
       "3             Jim Abrahams     Robert Hays   United States   3500000   \n",
       "4       Brian Doyle-Murray     Chevy Chase   United States   6000000   \n",
       "\n",
       "       gross             company  runtime yearcorrect  \n",
       "0   46998772        Warner Bros.    146.0        1980  \n",
       "1   58853106   Columbia Pictures    104.0        1980  \n",
       "2  538375067           Lucasfilm    124.0        1980  \n",
       "3   83453539  Paramount Pictures     88.0        1980  \n",
       "4   39846344      Orion Pictures     98.0        1980  "
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create correct year column\n",
    "df['yearcorrect'] = df['released'].astype(str).str.split().str[2]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "a3b9cf1d-00f3-45c8-bd33-dcdfdf8b8b1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.sort_values(by=['gross'], inplace=False, ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "03e3cf4c-cbdc-48b9-8f7f-2a0581058fe9",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_row',None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "bd102ff7-af6c-41f5-b466-5dbac4e882ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7129    2384\n",
       "5664    2383\n",
       "6412    2382\n",
       "4007    2381\n",
       "6793    2380\n",
       "Name: company, dtype: int16"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop any duplicates\n",
    "df['company'].drop_duplicates().sort_values(ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "c895a0e4-e149-41aa-9731-d2da2b2e5520",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Scatter plot with budget vs gross\n",
    "\n",
    "plt.scatter(x=df['budget'], y=df['gross'])\n",
    "plt.title('Budget vs Gross Earning')\n",
    "plt.xlabel('Gross Earning')\n",
    "plt.ylabel('Budget For Films')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "56818c22-ea9d-4057-9863-e72a00e07e1d",
   "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>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",
       "      <th>yearcorrect</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>7.8</td>\n",
       "      <td>1100000.0</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",
       "      <td>2009</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>8.4</td>\n",
       "      <td>903000.0</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",
       "      <td>2019</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>7.8</td>\n",
       "      <td>1100000.0</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",
       "      <td>1997</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>7.8</td>\n",
       "      <td>876000.0</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",
       "      <td>2015</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>8.4</td>\n",
       "      <td>897000.0</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",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            name rating   genre  year  \\\n",
       "5445                                      Avatar  PG-13  Action  2009   \n",
       "7445                           Avengers: Endgame  PG-13  Action  2019   \n",
       "3045                                     Titanic  PG-13   Drama  1997   \n",
       "6663  Star Wars: Episode VII - The Force Awakens  PG-13  Action  2015   \n",
       "7244                      Avengers: Infinity War  PG-13  Action  2018   \n",
       "\n",
       "                               released  score      votes       director  \\\n",
       "5445  December 18, 2009 (United States)    7.8  1100000.0  James Cameron   \n",
       "7445     April 26, 2019 (United States)    8.4   903000.0  Anthony Russo   \n",
       "3045  December 19, 1997 (United States)    7.8  1100000.0  James Cameron   \n",
       "6663  December 18, 2015 (United States)    7.8   876000.0    J.J. Abrams   \n",
       "7244     April 27, 2018 (United States)    8.4   897000.0  Anthony Russo   \n",
       "\n",
       "                  writer               star        country     budget  \\\n",
       "5445       James Cameron    Sam Worthington  United States  237000000   \n",
       "7445  Christopher Markus  Robert Downey Jr.  United States  356000000   \n",
       "3045       James Cameron  Leonardo DiCaprio  United States  200000000   \n",
       "6663     Lawrence Kasdan       Daisy Ridley  United States  245000000   \n",
       "7244  Christopher Markus  Robert Downey Jr.  United States  321000000   \n",
       "\n",
       "           gross                company  runtime yearcorrect  \n",
       "5445  2847246203  Twentieth Century Fox    162.0        2009  \n",
       "7445  2797501328         Marvel Studios    181.0        2019  \n",
       "3045  2201647264  Twentieth Century Fox    194.0        1997  \n",
       "6663  2069521700              Lucasfilm    138.0        2015  \n",
       "7244  2048359754         Marvel Studios    149.0        2018  "
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "96d945a1-060b-494d-adfc-5a732468d5d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='budget', ylabel='gross'>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot budget vs gross using seaborn\n",
    "\n",
    "sns.regplot(x = 'budget', y ='gross', data = df, scatter_kws={\"color\": \"red\"}, line_kws={\"color\":\"green\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "16f32643-182d-49e2-8a30-4428028df389",
   "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>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>0.097995</td>\n",
       "      <td>0.222945</td>\n",
       "      <td>0.309212</td>\n",
       "      <td>0.261900</td>\n",
       "      <td>0.120811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>score</th>\n",
       "      <td>0.097995</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.409182</td>\n",
       "      <td>0.055665</td>\n",
       "      <td>0.186392</td>\n",
       "      <td>0.399451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>votes</th>\n",
       "      <td>0.222945</td>\n",
       "      <td>0.409182</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.486862</td>\n",
       "      <td>0.632834</td>\n",
       "      <td>0.309212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>budget</th>\n",
       "      <td>0.309212</td>\n",
       "      <td>0.055665</td>\n",
       "      <td>0.486862</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.750157</td>\n",
       "      <td>0.269510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gross</th>\n",
       "      <td>0.261900</td>\n",
       "      <td>0.186392</td>\n",
       "      <td>0.632834</td>\n",
       "      <td>0.750157</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.245235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>runtime</th>\n",
       "      <td>0.120811</td>\n",
       "      <td>0.399451</td>\n",
       "      <td>0.309212</td>\n",
       "      <td>0.269510</td>\n",
       "      <td>0.245235</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  0.097995  0.222945  0.309212  0.261900  0.120811\n",
       "score    0.097995  1.000000  0.409182  0.055665  0.186392  0.399451\n",
       "votes    0.222945  0.409182  1.000000  0.486862  0.632834  0.309212\n",
       "budget   0.309212  0.055665  0.486862  1.000000  0.750157  0.269510\n",
       "gross    0.261900  0.186392  0.632834  0.750157  1.000000  0.245235\n",
       "runtime  0.120811  0.399451  0.309212  0.269510  0.245235  1.000000"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's look at correlation\n",
    "df.corr(numeric_only= True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "aa3b4897-36b1-4ed6-a4df-677fa0543400",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation_matric = df.corr(numeric_only=True)\n",
    "sns.heatmap(correlation_matric, annot = True)\n",
    "plt.title('Correlation Matric for Numeric Features')\n",
    "plt.xlabel('Movie Features')\n",
    "plt.ylabel('Movies Features')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "82bb0dcf-efd0-4397-bb68-f33c8c968abb",
   "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>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",
       "      <th>yearcorrect</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>7.8</td>\n",
       "      <td>1100000.0</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",
       "      <td>2009</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>8.4</td>\n",
       "      <td>903000.0</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",
       "      <td>2019</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>7.8</td>\n",
       "      <td>1100000.0</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",
       "      <td>1997</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>7.8</td>\n",
       "      <td>876000.0</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",
       "      <td>2015</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>8.4</td>\n",
       "      <td>897000.0</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",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            name rating   genre  year  \\\n",
       "5445                                      Avatar  PG-13  Action  2009   \n",
       "7445                           Avengers: Endgame  PG-13  Action  2019   \n",
       "3045                                     Titanic  PG-13   Drama  1997   \n",
       "6663  Star Wars: Episode VII - The Force Awakens  PG-13  Action  2015   \n",
       "7244                      Avengers: Infinity War  PG-13  Action  2018   \n",
       "\n",
       "                               released  score      votes       director  \\\n",
       "5445  December 18, 2009 (United States)    7.8  1100000.0  James Cameron   \n",
       "7445     April 26, 2019 (United States)    8.4   903000.0  Anthony Russo   \n",
       "3045  December 19, 1997 (United States)    7.8  1100000.0  James Cameron   \n",
       "6663  December 18, 2015 (United States)    7.8   876000.0    J.J. Abrams   \n",
       "7244     April 27, 2018 (United States)    8.4   897000.0  Anthony Russo   \n",
       "\n",
       "                  writer               star        country     budget  \\\n",
       "5445       James Cameron    Sam Worthington  United States  237000000   \n",
       "7445  Christopher Markus  Robert Downey Jr.  United States  356000000   \n",
       "3045       James Cameron  Leonardo DiCaprio  United States  200000000   \n",
       "6663     Lawrence Kasdan       Daisy Ridley  United States  245000000   \n",
       "7244  Christopher Markus  Robert Downey Jr.  United States  321000000   \n",
       "\n",
       "           gross                company  runtime yearcorrect  \n",
       "5445  2847246203  Twentieth Century Fox    162.0        2009  \n",
       "7445  2797501328         Marvel Studios    181.0        2019  \n",
       "3045  2201647264  Twentieth Century Fox    194.0        1997  \n",
       "6663  2069521700              Lucasfilm    138.0        2015  \n",
       "7244  2048359754         Marvel Studios    149.0        2018  "
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Looks at company\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "ccb4e6ae-c7fb-43db-89bd-1e6e93cbb4dd",
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "      name  rating  genre  year  released  score      votes  director  writer  \\\n",
       "5445   533       5      0  2009       696    7.8  1100000.0      1155    1778   \n",
       "7445   535       5      0  2019       183    8.4   903000.0       162     743   \n",
       "3045  6896       5      6  1997       704    7.8  1100000.0      1155    1778   \n",
       "6663  5144       5      0  2015       698    7.8   876000.0      1125    2550   \n",
       "7244   536       5      0  2018       192    8.4   897000.0       162     743   \n",
       "\n",
       "      star  country     budget       gross  company  runtime  yearcorrect  \n",
       "5445  2334       55  237000000  2847246203     2253    162.0           31  \n",
       "7445  2241       55  356000000  2797501328     1606    181.0           41  \n",
       "3045  1595       55  200000000  2201647264     2253    194.0           19  \n",
       "6663   524       55  245000000  2069521700     1540    138.0           37  \n",
       "7244  2241       55  321000000  2048359754     1606    149.0           40  "
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_numerized = df\n",
    "\n",
    "for col_name in df_numerized.columns:\n",
    "    if(df_numerized[col_name].dtype == 'object'):\n",
    "        df_numerized[col_name] = df_numerized[col_name].astype('category')\n",
    "        df_numerized[col_name] = df_numerized[col_name].cat.codes\n",
    "df_numerized.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "f4b7b701-f131-4201-a9c6-b8a37417e7c8",
   "metadata": {},
   "outputs": [
    {
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       "      <td>536</td>\n",
       "      <td>5</td>\n",
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       "      <td>192</td>\n",
       "      <td>8.4</td>\n",
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       "      <td>40</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "      name  rating  genre  year  released  score      votes  director  writer  \\\n",
       "5445   533       5      0  2009       696    7.8  1100000.0      1155    1778   \n",
       "7445   535       5      0  2019       183    8.4   903000.0       162     743   \n",
       "3045  6896       5      6  1997       704    7.8  1100000.0      1155    1778   \n",
       "6663  5144       5      0  2015       698    7.8   876000.0      1125    2550   \n",
       "7244   536       5      0  2018       192    8.4   897000.0       162     743   \n",
       "\n",
       "      star  country     budget       gross  company  runtime  yearcorrect  \n",
       "5445  2334       55  237000000  2847246203     2253    162.0           31  \n",
       "7445  2241       55  356000000  2797501328     1606    181.0           41  \n",
       "3045  1595       55  200000000  2201647264     2253    194.0           19  \n",
       "6663   524       55  245000000  2069521700     1540    138.0           37  \n",
       "7244  2241       55  321000000  2048359754     1606    149.0           40  "
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "09cd7827-4933-473e-b9c6-0e959b97347e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation_matric = df_numerized.corr(numeric_only=True)\n",
    "sns.heatmap(correlation_matric, annot = True)\n",
    "plt.title('Correlation Matric for Numeric Features')\n",
    "plt.xlabel('Movie Features')\n",
    "plt.ylabel('Movies Features')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "3e574aef-5e9e-499d-bb93-43f3781402e1",
   "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>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",
       "      <th>yearcorrect</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.008069</td>\n",
       "      <td>0.016355</td>\n",
       "      <td>0.011453</td>\n",
       "      <td>-0.011311</td>\n",
       "      <td>0.017097</td>\n",
       "      <td>0.013088</td>\n",
       "      <td>0.009079</td>\n",
       "      <td>0.009081</td>\n",
       "      <td>0.006472</td>\n",
       "      <td>-0.010737</td>\n",
       "      <td>0.020548</td>\n",
       "      <td>0.006989</td>\n",
       "      <td>0.009211</td>\n",
       "      <td>0.010392</td>\n",
       "      <td>0.010071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rating</th>\n",
       "      <td>-0.008069</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.072423</td>\n",
       "      <td>0.008779</td>\n",
       "      <td>0.016613</td>\n",
       "      <td>-0.001314</td>\n",
       "      <td>0.033225</td>\n",
       "      <td>0.019483</td>\n",
       "      <td>-0.005921</td>\n",
       "      <td>0.013405</td>\n",
       "      <td>0.081244</td>\n",
       "      <td>-0.081939</td>\n",
       "      <td>-0.095450</td>\n",
       "      <td>-0.032943</td>\n",
       "      <td>0.062145</td>\n",
       "      <td>0.008230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>genre</th>\n",
       "      <td>0.016355</td>\n",
       "      <td>0.072423</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.081261</td>\n",
       "      <td>0.029822</td>\n",
       "      <td>0.027965</td>\n",
       "      <td>-0.145307</td>\n",
       "      <td>-0.015258</td>\n",
       "      <td>0.006567</td>\n",
       "      <td>-0.005477</td>\n",
       "      <td>-0.037615</td>\n",
       "      <td>-0.334021</td>\n",
       "      <td>-0.234297</td>\n",
       "      <td>-0.071067</td>\n",
       "      <td>-0.052711</td>\n",
       "      <td>-0.078972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <td>0.011453</td>\n",
       "      <td>0.008779</td>\n",
       "      <td>-0.081261</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.000695</td>\n",
       "      <td>0.097995</td>\n",
       "      <td>0.222945</td>\n",
       "      <td>-0.020795</td>\n",
       "      <td>-0.008656</td>\n",
       "      <td>-0.027242</td>\n",
       "      <td>-0.070938</td>\n",
       "      <td>0.309212</td>\n",
       "      <td>0.261900</td>\n",
       "      <td>-0.010431</td>\n",
       "      <td>0.120811</td>\n",
       "      <td>0.990063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>released</th>\n",
       "      <td>-0.011311</td>\n",
       "      <td>0.016613</td>\n",
       "      <td>0.029822</td>\n",
       "      <td>-0.000695</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.042788</td>\n",
       "      <td>0.016097</td>\n",
       "      <td>-0.001478</td>\n",
       "      <td>-0.002404</td>\n",
       "      <td>0.015777</td>\n",
       "      <td>-0.020427</td>\n",
       "      <td>0.009145</td>\n",
       "      <td>0.000519</td>\n",
       "      <td>-0.010474</td>\n",
       "      <td>0.000868</td>\n",
       "      <td>-0.006411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>score</th>\n",
       "      <td>0.017097</td>\n",
       "      <td>-0.001314</td>\n",
       "      <td>0.027965</td>\n",
       "      <td>0.097995</td>\n",
       "      <td>0.042788</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.409182</td>\n",
       "      <td>0.009559</td>\n",
       "      <td>0.019416</td>\n",
       "      <td>-0.001609</td>\n",
       "      <td>-0.133348</td>\n",
       "      <td>0.055665</td>\n",
       "      <td>0.186392</td>\n",
       "      <td>0.001030</td>\n",
       "      <td>0.399451</td>\n",
       "      <td>0.103330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>votes</th>\n",
       "      <td>0.013088</td>\n",
       "      <td>0.033225</td>\n",
       "      <td>-0.145307</td>\n",
       "      <td>0.222945</td>\n",
       "      <td>0.016097</td>\n",
       "      <td>0.409182</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000260</td>\n",
       "      <td>0.000892</td>\n",
       "      <td>-0.019282</td>\n",
       "      <td>0.073625</td>\n",
       "      <td>0.486862</td>\n",
       "      <td>0.632834</td>\n",
       "      <td>0.133204</td>\n",
       "      <td>0.309212</td>\n",
       "      <td>0.218468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>0.009079</td>\n",
       "      <td>0.019483</td>\n",
       "      <td>-0.015258</td>\n",
       "      <td>-0.020795</td>\n",
       "      <td>-0.001478</td>\n",
       "      <td>0.009559</td>\n",
       "      <td>0.000260</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.299067</td>\n",
       "      <td>0.039234</td>\n",
       "      <td>0.017490</td>\n",
       "      <td>0.004976</td>\n",
       "      <td>-0.014916</td>\n",
       "      <td>0.004404</td>\n",
       "      <td>0.017624</td>\n",
       "      <td>-0.019692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>0.009081</td>\n",
       "      <td>-0.005921</td>\n",
       "      <td>0.006567</td>\n",
       "      <td>-0.008656</td>\n",
       "      <td>-0.002404</td>\n",
       "      <td>0.019416</td>\n",
       "      <td>0.000892</td>\n",
       "      <td>0.299067</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.027245</td>\n",
       "      <td>0.015343</td>\n",
       "      <td>-0.025911</td>\n",
       "      <td>-0.022997</td>\n",
       "      <td>0.005646</td>\n",
       "      <td>-0.003511</td>\n",
       "      <td>-0.007400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>star</th>\n",
       "      <td>0.006472</td>\n",
       "      <td>0.013405</td>\n",
       "      <td>-0.005477</td>\n",
       "      <td>-0.027242</td>\n",
       "      <td>0.015777</td>\n",
       "      <td>-0.001609</td>\n",
       "      <td>-0.019282</td>\n",
       "      <td>0.039234</td>\n",
       "      <td>0.027245</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.012998</td>\n",
       "      <td>-0.019952</td>\n",
       "      <td>-0.001129</td>\n",
       "      <td>0.012442</td>\n",
       "      <td>0.010174</td>\n",
       "      <td>-0.025231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <td>-0.010737</td>\n",
       "      <td>0.081244</td>\n",
       "      <td>-0.037615</td>\n",
       "      <td>-0.070938</td>\n",
       "      <td>-0.020427</td>\n",
       "      <td>-0.133348</td>\n",
       "      <td>0.073625</td>\n",
       "      <td>0.017490</td>\n",
       "      <td>0.015343</td>\n",
       "      <td>-0.012998</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.131720</td>\n",
       "      <td>0.095325</td>\n",
       "      <td>0.095548</td>\n",
       "      <td>-0.078412</td>\n",
       "      <td>-0.072682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>budget</th>\n",
       "      <td>0.020548</td>\n",
       "      <td>-0.081939</td>\n",
       "      <td>-0.334021</td>\n",
       "      <td>0.309212</td>\n",
       "      <td>0.009145</td>\n",
       "      <td>0.055665</td>\n",
       "      <td>0.486862</td>\n",
       "      <td>0.004976</td>\n",
       "      <td>-0.025911</td>\n",
       "      <td>-0.019952</td>\n",
       "      <td>0.131720</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.750157</td>\n",
       "      <td>0.186474</td>\n",
       "      <td>0.269510</td>\n",
       "      <td>0.300649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gross</th>\n",
       "      <td>0.006989</td>\n",
       "      <td>-0.095450</td>\n",
       "      <td>-0.234297</td>\n",
       "      <td>0.261900</td>\n",
       "      <td>0.000519</td>\n",
       "      <td>0.186392</td>\n",
       "      <td>0.632834</td>\n",
       "      <td>-0.014916</td>\n",
       "      <td>-0.022997</td>\n",
       "      <td>-0.001129</td>\n",
       "      <td>0.095325</td>\n",
       "      <td>0.750157</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.156745</td>\n",
       "      <td>0.245235</td>\n",
       "      <td>0.254946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>company</th>\n",
       "      <td>0.009211</td>\n",
       "      <td>-0.032943</td>\n",
       "      <td>-0.071067</td>\n",
       "      <td>-0.010431</td>\n",
       "      <td>-0.010474</td>\n",
       "      <td>0.001030</td>\n",
       "      <td>0.133204</td>\n",
       "      <td>0.004404</td>\n",
       "      <td>0.005646</td>\n",
       "      <td>0.012442</td>\n",
       "      <td>0.095548</td>\n",
       "      <td>0.186474</td>\n",
       "      <td>0.156745</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.034402</td>\n",
       "      <td>-0.011060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>runtime</th>\n",
       "      <td>0.010392</td>\n",
       "      <td>0.062145</td>\n",
       "      <td>-0.052711</td>\n",
       "      <td>0.120811</td>\n",
       "      <td>0.000868</td>\n",
       "      <td>0.399451</td>\n",
       "      <td>0.309212</td>\n",
       "      <td>0.017624</td>\n",
       "      <td>-0.003511</td>\n",
       "      <td>0.010174</td>\n",
       "      <td>-0.078412</td>\n",
       "      <td>0.269510</td>\n",
       "      <td>0.245235</td>\n",
       "      <td>0.034402</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.120976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yearcorrect</th>\n",
       "      <td>0.010071</td>\n",
       "      <td>0.008230</td>\n",
       "      <td>-0.078972</td>\n",
       "      <td>0.990063</td>\n",
       "      <td>-0.006411</td>\n",
       "      <td>0.103330</td>\n",
       "      <td>0.218468</td>\n",
       "      <td>-0.019692</td>\n",
       "      <td>-0.007400</td>\n",
       "      <td>-0.025231</td>\n",
       "      <td>-0.072682</td>\n",
       "      <td>0.300649</td>\n",
       "      <td>0.254946</td>\n",
       "      <td>-0.011060</td>\n",
       "      <td>0.120976</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 name    rating     genre      year  released     score  \\\n",
       "name         1.000000 -0.008069  0.016355  0.011453 -0.011311  0.017097   \n",
       "rating      -0.008069  1.000000  0.072423  0.008779  0.016613 -0.001314   \n",
       "genre        0.016355  0.072423  1.000000 -0.081261  0.029822  0.027965   \n",
       "year         0.011453  0.008779 -0.081261  1.000000 -0.000695  0.097995   \n",
       "released    -0.011311  0.016613  0.029822 -0.000695  1.000000  0.042788   \n",
       "score        0.017097 -0.001314  0.027965  0.097995  0.042788  1.000000   \n",
       "votes        0.013088  0.033225 -0.145307  0.222945  0.016097  0.409182   \n",
       "director     0.009079  0.019483 -0.015258 -0.020795 -0.001478  0.009559   \n",
       "writer       0.009081 -0.005921  0.006567 -0.008656 -0.002404  0.019416   \n",
       "star         0.006472  0.013405 -0.005477 -0.027242  0.015777 -0.001609   \n",
       "country     -0.010737  0.081244 -0.037615 -0.070938 -0.020427 -0.133348   \n",
       "budget       0.020548 -0.081939 -0.334021  0.309212  0.009145  0.055665   \n",
       "gross        0.006989 -0.095450 -0.234297  0.261900  0.000519  0.186392   \n",
       "company      0.009211 -0.032943 -0.071067 -0.010431 -0.010474  0.001030   \n",
       "runtime      0.010392  0.062145 -0.052711  0.120811  0.000868  0.399451   \n",
       "yearcorrect  0.010071  0.008230 -0.078972  0.990063 -0.006411  0.103330   \n",
       "\n",
       "                votes  director    writer      star   country    budget  \\\n",
       "name         0.013088  0.009079  0.009081  0.006472 -0.010737  0.020548   \n",
       "rating       0.033225  0.019483 -0.005921  0.013405  0.081244 -0.081939   \n",
       "genre       -0.145307 -0.015258  0.006567 -0.005477 -0.037615 -0.334021   \n",
       "year         0.222945 -0.020795 -0.008656 -0.027242 -0.070938  0.309212   \n",
       "released     0.016097 -0.001478 -0.002404  0.015777 -0.020427  0.009145   \n",
       "score        0.409182  0.009559  0.019416 -0.001609 -0.133348  0.055665   \n",
       "votes        1.000000  0.000260  0.000892 -0.019282  0.073625  0.486862   \n",
       "director     0.000260  1.000000  0.299067  0.039234  0.017490  0.004976   \n",
       "writer       0.000892  0.299067  1.000000  0.027245  0.015343 -0.025911   \n",
       "star        -0.019282  0.039234  0.027245  1.000000 -0.012998 -0.019952   \n",
       "country      0.073625  0.017490  0.015343 -0.012998  1.000000  0.131720   \n",
       "budget       0.486862  0.004976 -0.025911 -0.019952  0.131720  1.000000   \n",
       "gross        0.632834 -0.014916 -0.022997 -0.001129  0.095325  0.750157   \n",
       "company      0.133204  0.004404  0.005646  0.012442  0.095548  0.186474   \n",
       "runtime      0.309212  0.017624 -0.003511  0.010174 -0.078412  0.269510   \n",
       "yearcorrect  0.218468 -0.019692 -0.007400 -0.025231 -0.072682  0.300649   \n",
       "\n",
       "                gross   company   runtime  yearcorrect  \n",
       "name         0.006989  0.009211  0.010392     0.010071  \n",
       "rating      -0.095450 -0.032943  0.062145     0.008230  \n",
       "genre       -0.234297 -0.071067 -0.052711    -0.078972  \n",
       "year         0.261900 -0.010431  0.120811     0.990063  \n",
       "released     0.000519 -0.010474  0.000868    -0.006411  \n",
       "score        0.186392  0.001030  0.399451     0.103330  \n",
       "votes        0.632834  0.133204  0.309212     0.218468  \n",
       "director    -0.014916  0.004404  0.017624    -0.019692  \n",
       "writer      -0.022997  0.005646 -0.003511    -0.007400  \n",
       "star        -0.001129  0.012442  0.010174    -0.025231  \n",
       "country      0.095325  0.095548 -0.078412    -0.072682  \n",
       "budget       0.750157  0.186474  0.269510     0.300649  \n",
       "gross        1.000000  0.156745  0.245235     0.254946  \n",
       "company      0.156745  1.000000  0.034402    -0.011060  \n",
       "runtime      0.245235  0.034402  1.000000     0.120976  \n",
       "yearcorrect  0.254946 -0.011060  0.120976     1.000000  "
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_numerized.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "c366de88-555c-4b5d-a70f-d3a9f10d1bf3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name  name        1.000000\n",
       "      rating     -0.008069\n",
       "      genre       0.016355\n",
       "      year        0.011453\n",
       "      released   -0.011311\n",
       "dtype: float64"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlation_mat = df_numerized.corr()\n",
    "corr_pairs = correlation_mat.unstack()\n",
    "corr_pairs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "5c409bbf-b5aa-4df1-b146-d7a1706f3e6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "genre   budget   -0.334021\n",
       "budget  genre    -0.334021\n",
       "genre   gross    -0.234297\n",
       "gross   genre    -0.234297\n",
       "votes   genre    -0.145307\n",
       "dtype: float64"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_pairs = corr_pairs.sort_values()\n",
    "sorted_pairs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "5496ddf8-3ce2-493f-ae23-ef64b91f2655",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "votes        gross          0.632834\n",
       "gross        votes          0.632834\n",
       "             budget         0.750157\n",
       "budget       gross          0.750157\n",
       "yearcorrect  year           0.990063\n",
       "year         yearcorrect    0.990063\n",
       "name         name           1.000000\n",
       "company      company        1.000000\n",
       "gross        gross          1.000000\n",
       "budget       budget         1.000000\n",
       "country      country        1.000000\n",
       "star         star           1.000000\n",
       "writer       writer         1.000000\n",
       "director     director       1.000000\n",
       "votes        votes          1.000000\n",
       "score        score          1.000000\n",
       "released     released       1.000000\n",
       "year         year           1.000000\n",
       "genre        genre          1.000000\n",
       "rating       rating         1.000000\n",
       "runtime      runtime        1.000000\n",
       "yearcorrect  yearcorrect    1.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_corr = sorted_pairs[(sorted_pairs)>0.5]\n",
    "high_corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "deda142a-c159-4b7b-9f56-4b4c2faddfa8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vote and budget have the highest correlation to gross earnings\n",
    "\n",
    "# company has low correlation\n"
   ]
  }
 ],
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