Domestic Gross Percentage Exploratory Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Domestic Gross Percentage Exploratory Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Imports\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Load data\n",
    "mov = pd.read_csv('Movie_gross_percentage.csv', encoding = 'latin1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Day of Week</th>\n",
       "      <th>Director</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Movie Title</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Studio</th>\n",
       "      <th>Adjusted Gross ($mill)</th>\n",
       "      <th>Budget ($mill)</th>\n",
       "      <th>Gross ($mill)</th>\n",
       "      <th>IMDb Rating</th>\n",
       "      <th>MovieLens Rating</th>\n",
       "      <th>Overseas ($mill)</th>\n",
       "      <th>Overseas%</th>\n",
       "      <th>Profit ($mill)</th>\n",
       "      <th>Profit%</th>\n",
       "      <th>Runtime (min)</th>\n",
       "      <th>US ($mill)</th>\n",
       "      <th>Gross % US</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Friday</td>\n",
       "      <td>Brad Bird</td>\n",
       "      <td>action</td>\n",
       "      <td>Tomorrowland</td>\n",
       "      <td>22/05/2015</td>\n",
       "      <td>Buena Vista Studios</td>\n",
       "      <td>202.1</td>\n",
       "      <td>170.0</td>\n",
       "      <td>202.1</td>\n",
       "      <td>6.7</td>\n",
       "      <td>3.26</td>\n",
       "      <td>111.9</td>\n",
       "      <td>55.4</td>\n",
       "      <td>32.1</td>\n",
       "      <td>18.9</td>\n",
       "      <td>130</td>\n",
       "      <td>90.2</td>\n",
       "      <td>44.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Friday</td>\n",
       "      <td>Scott Waugh</td>\n",
       "      <td>action</td>\n",
       "      <td>Need for Speed</td>\n",
       "      <td>14/03/2014</td>\n",
       "      <td>Buena Vista Studios</td>\n",
       "      <td>204.2</td>\n",
       "      <td>66.0</td>\n",
       "      <td>203.3</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.97</td>\n",
       "      <td>159.7</td>\n",
       "      <td>78.6</td>\n",
       "      <td>137.3</td>\n",
       "      <td>208.0</td>\n",
       "      <td>132</td>\n",
       "      <td>43.6</td>\n",
       "      <td>21.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Friday</td>\n",
       "      <td>Patrick Hughes</td>\n",
       "      <td>action</td>\n",
       "      <td>The Expendables 3</td>\n",
       "      <td>15/08/2014</td>\n",
       "      <td>Lionsgate</td>\n",
       "      <td>207.1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>206.2</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.93</td>\n",
       "      <td>166.9</td>\n",
       "      <td>80.9</td>\n",
       "      <td>106.2</td>\n",
       "      <td>106.2</td>\n",
       "      <td>126</td>\n",
       "      <td>39.3</td>\n",
       "      <td>19.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Friday</td>\n",
       "      <td>Phil Lord, Chris Miller</td>\n",
       "      <td>comedy</td>\n",
       "      <td>21 Jump Street</td>\n",
       "      <td>16/03/2012</td>\n",
       "      <td>Sony</td>\n",
       "      <td>208.8</td>\n",
       "      <td>42.0</td>\n",
       "      <td>201.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3.62</td>\n",
       "      <td>63.1</td>\n",
       "      <td>31.3</td>\n",
       "      <td>159.6</td>\n",
       "      <td>380.0</td>\n",
       "      <td>109</td>\n",
       "      <td>138.4</td>\n",
       "      <td>68.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Friday</td>\n",
       "      <td>Roland Emmerich</td>\n",
       "      <td>action</td>\n",
       "      <td>White House Down</td>\n",
       "      <td>28/06/2013</td>\n",
       "      <td>Sony</td>\n",
       "      <td>209.7</td>\n",
       "      <td>150.0</td>\n",
       "      <td>205.4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.65</td>\n",
       "      <td>132.3</td>\n",
       "      <td>64.4</td>\n",
       "      <td>55.4</td>\n",
       "      <td>36.9</td>\n",
       "      <td>131</td>\n",
       "      <td>73.1</td>\n",
       "      <td>35.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Day of Week                 Director   Genre        Movie Title  \\\n",
       "0      Friday                Brad Bird  action       Tomorrowland   \n",
       "1      Friday              Scott Waugh  action     Need for Speed   \n",
       "2      Friday           Patrick Hughes  action  The Expendables 3   \n",
       "3      Friday  Phil Lord, Chris Miller  comedy     21 Jump Street   \n",
       "4      Friday          Roland Emmerich  action   White House Down   \n",
       "\n",
       "  Release Date               Studio Adjusted Gross ($mill)  Budget ($mill)  \\\n",
       "0   22/05/2015  Buena Vista Studios                  202.1           170.0   \n",
       "1   14/03/2014  Buena Vista Studios                  204.2            66.0   \n",
       "2   15/08/2014            Lionsgate                  207.1           100.0   \n",
       "3   16/03/2012                 Sony                  208.8            42.0   \n",
       "4   28/06/2013                 Sony                  209.7           150.0   \n",
       "\n",
       "  Gross ($mill)  IMDb Rating  MovieLens Rating Overseas ($mill)  Overseas%  \\\n",
       "0         202.1          6.7              3.26            111.9       55.4   \n",
       "1         203.3          6.6              2.97            159.7       78.6   \n",
       "2         206.2          6.1              2.93            166.9       80.9   \n",
       "3         201.6          7.2              3.62             63.1       31.3   \n",
       "4         205.4          8.0              3.65            132.3       64.4   \n",
       "\n",
       "  Profit ($mill)  Profit%  Runtime (min)  US ($mill)  Gross % US  \n",
       "0           32.1     18.9            130        90.2        44.6  \n",
       "1          137.3    208.0            132        43.6        21.4  \n",
       "2          106.2    106.2            126        39.3        19.1  \n",
       "3          159.6    380.0            109       138.4        68.7  \n",
       "4           55.4     36.9            131        73.1        35.6  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mov.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Budget ($mill)</th>\n",
       "      <th>IMDb Rating</th>\n",
       "      <th>MovieLens Rating</th>\n",
       "      <th>Overseas%</th>\n",
       "      <th>Profit%</th>\n",
       "      <th>Runtime (min)</th>\n",
       "      <th>US ($mill)</th>\n",
       "      <th>Gross % US</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>608.000000</td>\n",
       "      <td>608.000000</td>\n",
       "      <td>608.000000</td>\n",
       "      <td>608.000000</td>\n",
       "      <td>608.000000</td>\n",
       "      <td>608.000000</td>\n",
       "      <td>608.000000</td>\n",
       "      <td>608.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>92.467928</td>\n",
       "      <td>6.923849</td>\n",
       "      <td>3.340378</td>\n",
       "      <td>57.698849</td>\n",
       "      <td>719.278783</td>\n",
       "      <td>117.781250</td>\n",
       "      <td>167.135197</td>\n",
       "      <td>42.301151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>59.421407</td>\n",
       "      <td>0.925890</td>\n",
       "      <td>0.454071</td>\n",
       "      <td>12.334237</td>\n",
       "      <td>1942.807248</td>\n",
       "      <td>23.179122</td>\n",
       "      <td>92.465903</td>\n",
       "      <td>12.334237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.600000</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>1.490000</td>\n",
       "      <td>17.200000</td>\n",
       "      <td>7.700000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>45.000000</td>\n",
       "      <td>6.375000</td>\n",
       "      <td>3.037500</td>\n",
       "      <td>49.900000</td>\n",
       "      <td>201.850000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>106.950000</td>\n",
       "      <td>33.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>80.000000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>3.365000</td>\n",
       "      <td>58.200000</td>\n",
       "      <td>338.550000</td>\n",
       "      <td>116.000000</td>\n",
       "      <td>141.700000</td>\n",
       "      <td>41.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>130.000000</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>3.672500</td>\n",
       "      <td>66.300000</td>\n",
       "      <td>650.100000</td>\n",
       "      <td>130.250000</td>\n",
       "      <td>202.100000</td>\n",
       "      <td>50.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>300.000000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>41333.300000</td>\n",
       "      <td>238.000000</td>\n",
       "      <td>760.500000</td>\n",
       "      <td>82.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Budget ($mill)  IMDb Rating  MovieLens Rating   Overseas%  \\\n",
       "count      608.000000   608.000000        608.000000  608.000000   \n",
       "mean        92.467928     6.923849          3.340378   57.698849   \n",
       "std         59.421407     0.925890          0.454071   12.334237   \n",
       "min          0.600000     3.600000          1.490000   17.200000   \n",
       "25%         45.000000     6.375000          3.037500   49.900000   \n",
       "50%         80.000000     6.900000          3.365000   58.200000   \n",
       "75%        130.000000     7.600000          3.672500   66.300000   \n",
       "max        300.000000     9.200000          4.500000  100.000000   \n",
       "\n",
       "            Profit%  Runtime (min)  US ($mill)  Gross % US  \n",
       "count    608.000000     608.000000  608.000000  608.000000  \n",
       "mean     719.278783     117.781250  167.135197   42.301151  \n",
       "std     1942.807248      23.179122   92.465903   12.334237  \n",
       "min        7.700000      30.000000    0.000000    0.000000  \n",
       "25%      201.850000     100.000000  106.950000   33.700000  \n",
       "50%      338.550000     116.000000  141.700000   41.800000  \n",
       "75%      650.100000     130.250000  202.100000   50.100000  \n",
       "max    41333.300000     238.000000  760.500000   82.800000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mov.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 608 entries, 0 to 607\n",
      "Data columns (total 18 columns):\n",
      "Day of Week               608 non-null object\n",
      "Director                  608 non-null object\n",
      "Genre                     608 non-null object\n",
      "Movie Title               608 non-null object\n",
      "Release Date              608 non-null object\n",
      "Studio                    608 non-null object\n",
      "Adjusted Gross ($mill)    608 non-null object\n",
      "Budget ($mill)            608 non-null float64\n",
      "Gross ($mill)             608 non-null object\n",
      "IMDb Rating               608 non-null float64\n",
      "MovieLens Rating          608 non-null float64\n",
      "Overseas ($mill)          608 non-null object\n",
      "Overseas%                 608 non-null float64\n",
      "Profit ($mill)            608 non-null object\n",
      "Profit%                   608 non-null float64\n",
      "Runtime (min)             608 non-null int64\n",
      "US ($mill)                608 non-null float64\n",
      "Gross % US                608 non-null float64\n",
      "dtypes: float64(7), int64(1), object(10)\n",
      "memory usage: 85.6+ KB\n"
     ]
    }
   ],
   "source": [
    "mov.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZVYfOpx+T5Mwk5yY5uKr2qKq9k9wz0xsbAQBgVVnUjPVLkuyT5GVV9bJ52QuSnFhVt0hy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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb88b0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization 1\n",
    "vis1 = sns.factorplot(data = mov, x = 'Day of Week', kind = 'count', size = 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Buena Vista Studios', 'Lionsgate', 'Sony', 'Universal',\n",
       "       'Paramount Pictures', 'WB', 'Weinstein Company', 'UA Entertainment',\n",
       "       'WB/New Line', 'New Line Cinema', 'Fox', 'TriStar',\n",
       "       'Relativity Media', 'Screen Gems', 'StudioCanal',\n",
       "       'Fox Searchlight Pictures', 'MiraMax', 'Path_ Distribution',\n",
       "       'DreamWorks', 'Lionsgate Films', 'Revolution Studios',\n",
       "       'Dimension Films', 'USA', 'Lionsgate/Summit',\n",
       "       'Sony Picture Classics', 'Pacific Data/DreamWorks', 'Disney',\n",
       "       'Art House Studios', 'Colombia Pictures', 'Gramercy Pictures',\n",
       "       'Summit Entertainment', 'Vestron Pictures', 'MGM', 'Orion', 'IFC',\n",
       "       'New Market Films'], dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Unique studios\n",
    "mov.Studio.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "36"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Number of unique studios\n",
    "len(mov.Studio.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['action', 'comedy', 'adventure', 'horror', 'animation', 'biography',\n",
       "       'drama', 'musical', 'sci-fi', 'crime', 'romance', 'fantasy',\n",
       "       'mystery', 'thriller', 'documentary'], dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Unique genres\n",
    "mov.Genre.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Number of unique genres\n",
    "len(mov.Genre.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Filter for genres\n",
    "genre_filters = ['action','adventure','animiation','comedy','drama']\n",
    "mov2 = mov[mov.Genre.isin(genre_filters)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['action', 'comedy', 'adventure', 'drama'], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mov2.Genre.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Filter for genres made studios we're interested in\n",
    "# mov3 = mov[(mov.Studio=='Fox') | (mov.Studio =='WB')]\n",
    "\n",
    "studio_filters = ['Buena Vista Studios','Fox', 'Paramount Pictures','Sony','Universal','WB']\n",
    "mov3 = mov2[mov2.Studio.isin(studio_filters)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Buena Vista Studios' 'Sony' 'Universal' 'Paramount Pictures' 'WB' 'Fox']\n"
     ]
    }
   ],
   "source": [
    "# Unique studios\n",
    "print(mov3.Studio.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "347"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Number of unique studios\n",
    "len(mov3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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33303Ty2M8Uvv9u3bHD9+XFmVZd++fXnW7L6fg4ODktydO3eOQ4cOme2H16xZ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bVtsNplUxIxG6ULiBDdrdMJZKbMLfiN6MdPRN2zG62sFJ2mkV16iP1nmXhqegpl6wdF1PX4wPjp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\npv3yl7/UNE3r8Niia5566int0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      "text/plain": [
       "<matplotlib.figure.Figure at 0xbee7080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create box plot\n",
    "sns.set(style = 'darkgrid', palette = 'muted', color_codes = True)\n",
    "ax = sns.boxplot(data = mov3, x = 'Genre', y ='Gross % US', \n",
    "            orient = 'v',color = 'lightgray')\n",
    "\n",
    "plt.setp(ax.artists, alpha = 0.5)\n",
    "\n",
    "sns.stripplot(data = mov3, x = 'Genre', y = 'Gross % US',\n",
    "             jitter = True, size = 6, linewidth = 0, hue = 'Studio')\n",
    "\n",
    "# Format title \n",
    "ax.axes.set_title('Domestic Gross % by Genre', fontsize = 30)\n",
    "\n",
    "# Format x and y axis\n",
    "ax.set_xlabel('Genre', fontsize = 20)\n",
    "ax.set_ylabel('Gross % US', fontsize = 20)\n",
    "\n",
    "# Format legend\n",
    "ax.legend(bbox_to_anchor = (1.05, 1), loc = 2)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}