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  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Exploratory Data Analysis: Consumer Preference\n",
      "A voyage through evaluating preferential factors in cinema using public IMDB data"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "_This notebook is adapted from [Chris Beaumont's](http://chrisbeaumont.org/) [\"Rubric for Data Wrangling and Exploration\"](http://nbviewer.ipython.org/github/cs109/content/blob/master/lec_04_wrangling.ipynb)_"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "# from pylab import *\n",
      "\n",
      "import matplotlib.pyplot as plt\n",
      "import pandas as pd\n",
      "import numpy as np"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 43
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Acquire Data"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Dump the data into a frame and label it so if we come back to it later we'll know what's what\n",
      "# We can see that there were no titles so we'll provide them\n",
      "# Its also clear that there's tab separations \n",
      "names = ['imdbID', 'Title', 'year', 'score', 'votes', 'runtime', 'genres']\n",
      "data = pd.read_csv('imdb_top_10000.txt', delimiter='\\t', names=names).dropna()\n",
      "print \"Number of rows: %i. Number of columns: %i\" %(data.shape[0],data.shape[1])\n",
      "data.head()  # print the first 5 rows"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of rows: 9999. Number of columns: 7\n"
       ]
      },
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>imdbID</th>\n",
        "      <th>Title</th>\n",
        "      <th>year</th>\n",
        "      <th>score</th>\n",
        "      <th>votes</th>\n",
        "      <th>runtime</th>\n",
        "      <th>genres</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> tt0111161</td>\n",
        "      <td> The Shawshank Redemption (1994)</td>\n",
        "      <td> 1994</td>\n",
        "      <td> 9.2</td>\n",
        "      <td> 619479</td>\n",
        "      <td> 142 mins.</td>\n",
        "      <td>                      Crime|Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> tt0110912</td>\n",
        "      <td>             Pulp Fiction (1994)</td>\n",
        "      <td> 1994</td>\n",
        "      <td> 9.0</td>\n",
        "      <td> 490065</td>\n",
        "      <td> 154 mins.</td>\n",
        "      <td>                   Crime|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> tt0137523</td>\n",
        "      <td>               Fight Club (1999)</td>\n",
        "      <td> 1999</td>\n",
        "      <td> 8.8</td>\n",
        "      <td> 458173</td>\n",
        "      <td> 139 mins.</td>\n",
        "      <td>           Drama|Mystery|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> tt0133093</td>\n",
        "      <td>               The Matrix (1999)</td>\n",
        "      <td> 1999</td>\n",
        "      <td> 8.7</td>\n",
        "      <td> 448114</td>\n",
        "      <td> 136 mins.</td>\n",
        "      <td>          Action|Adventure|Sci-Fi</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> tt1375666</td>\n",
        "      <td>                Inception (2010)</td>\n",
        "      <td> 2010</td>\n",
        "      <td> 8.9</td>\n",
        "      <td> 385149</td>\n",
        "      <td> 148 mins.</td>\n",
        "      <td> Action|Adventure|Sci-Fi|Thriller</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 60,
       "text": [
        "      imdbID                            Title  year  score   votes    runtime  \\\n",
        "0  tt0111161  The Shawshank Redemption (1994)  1994    9.2  619479  142 mins.   \n",
        "1  tt0110912              Pulp Fiction (1994)  1994    9.0  490065  154 mins.   \n",
        "2  tt0137523                Fight Club (1999)  1999    8.8  458173  139 mins.   \n",
        "3  tt0133093                The Matrix (1999)  1999    8.7  448114  136 mins.   \n",
        "4  tt1375666                 Inception (2010)  2010    8.9  385149  148 mins.   \n",
        "\n",
        "                             genres  \n",
        "0                       Crime|Drama  \n",
        "1                    Crime|Thriller  \n",
        "2            Drama|Mystery|Thriller  \n",
        "3           Action|Adventure|Sci-Fi  \n",
        "4  Action|Adventure|Sci-Fi|Thriller  "
       ]
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Clean Data"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#### MUNGING!!\n",
      "Weed to adjust the runtime and genres so we can use them.  And may as well remove the superfluous year from title as well.\n",
      "\n",
      "You must love to munge, or work with someone who loves to munge, to get anywhere in data science.  Understanding strings are lists, is helpful."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Fix the title\n",
      "data['Title'] = [t[0:-7] for t in data.Title]\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 45
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.year"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 61,
       "text": [
        "0     1994\n",
        "1     1994\n",
        "2     1999\n",
        "3     1999\n",
        "4     2010\n",
        "5     1994\n",
        "6     1999\n",
        "7     2009\n",
        "8     1993\n",
        "9     1980\n",
        "10    2005\n",
        "11    1995\n",
        "12    1991\n",
        "13    1997\n",
        "14    1995\n",
        "...\n",
        "9985    1970\n",
        "9986    1955\n",
        "9987    1990\n",
        "9988    1995\n",
        "9989    1991\n",
        "9990    2005\n",
        "9991    1971\n",
        "9992    2004\n",
        "9993    2000\n",
        "9994    1998\n",
        "9995    2007\n",
        "9996    2005\n",
        "9997    1966\n",
        "9998    1999\n",
        "9999    2001\n",
        "Name: year, Length: 9999, dtype: int64"
       ]
      }
     ],
     "prompt_number": 61
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 45
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "# Fix the runtime\n",
      "# For each element of data.runtime, split the string at a space and get the first element as a number.\n",
      "# We can use a \"comprehension\":\n",
      "\n",
      "clean_runtime = [float(r.split(' ')[0]) for r in data.runtime]\n",
      "data['runtime'] = clean_runtime"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Splitting up the genres\n",
      "#determine the unique genres\n",
      "genresset = set()\n",
      "\n",
      "for m in data.genres:\n",
      "    genresset.update(g for g in m.split('|'))\n",
      "genresset = sorted(genresset)\n",
      "\n",
      "#make a column for each genre\n",
      "for genre in genresset:\n",
      "    data[genre] = [genre in movie.split('|') for movie in data.genres]\n",
      "         "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 47
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 47
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.iloc[1:10,4:23]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>votes</th>\n",
        "      <th>runtime</th>\n",
        "      <th>genres</th>\n",
        "      <th>Action</th>\n",
        "      <th>Adult</th>\n",
        "      <th>Adventure</th>\n",
        "      <th>Animation</th>\n",
        "      <th>Biography</th>\n",
        "      <th>Comedy</th>\n",
        "      <th>Crime</th>\n",
        "      <th>Drama</th>\n",
        "      <th>Family</th>\n",
        "      <th>Fantasy</th>\n",
        "      <th>Film-Noir</th>\n",
        "      <th>History</th>\n",
        "      <th>Horror</th>\n",
        "      <th>Music</th>\n",
        "      <th>Musical</th>\n",
        "      <th>Mystery</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 490065</td>\n",
        "      <td> 154</td>\n",
        "      <td>                   Crime|Thriller</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 458173</td>\n",
        "      <td> 139</td>\n",
        "      <td>           Drama|Mystery|Thriller</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 448114</td>\n",
        "      <td> 136</td>\n",
        "      <td>          Action|Adventure|Sci-Fi</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 385149</td>\n",
        "      <td> 148</td>\n",
        "      <td> Action|Adventure|Sci-Fi|Thriller</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td> 368994</td>\n",
        "      <td> 142</td>\n",
        "      <td>             Comedy|Drama|Romance</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td> 338332</td>\n",
        "      <td> 122</td>\n",
        "      <td>                            Drama</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td> 336855</td>\n",
        "      <td> 162</td>\n",
        "      <td>  Action|Adventure|Fantasy|Sci-Fi</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td> 325888</td>\n",
        "      <td> 195</td>\n",
        "      <td>      Biography|Drama|History|War</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td> 320105</td>\n",
        "      <td> 124</td>\n",
        "      <td>   Action|Adventure|Family|Sci-Fi</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td>  True</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 48,
       "text": [
        "    votes  runtime                            genres Action  Adult Adventure  \\\n",
        "1  490065      154                    Crime|Thriller  False  False     False   \n",
        "2  458173      139            Drama|Mystery|Thriller  False  False     False   \n",
        "3  448114      136           Action|Adventure|Sci-Fi   True  False      True   \n",
        "4  385149      148  Action|Adventure|Sci-Fi|Thriller   True  False      True   \n",
        "5  368994      142              Comedy|Drama|Romance  False  False     False   \n",
        "6  338332      122                             Drama  False  False     False   \n",
        "7  336855      162   Action|Adventure|Fantasy|Sci-Fi   True  False      True   \n",
        "8  325888      195       Biography|Drama|History|War  False  False     False   \n",
        "9  320105      124    Action|Adventure|Family|Sci-Fi   True  False      True   \n",
        "\n",
        "  Animation Biography Comedy  Crime  Drama Family Fantasy Film-Noir History  \\\n",
        "1     False     False  False   True  False  False   False     False   False   \n",
        "2     False     False  False  False   True  False   False     False   False   \n",
        "3     False     False  False  False  False  False   False     False   False   \n",
        "4     False     False  False  False  False  False   False     False   False   \n",
        "5     False     False   True  False   True  False   False     False   False   \n",
        "6     False     False  False  False   True  False   False     False   False   \n",
        "7     False     False  False  False  False  False    True     False   False   \n",
        "8     False      True  False  False   True  False   False     False    True   \n",
        "9     False     False  False  False  False   True   False     False   False   \n",
        "\n",
        "  Horror  Music Musical Mystery  \n",
        "1  False  False   False   False  \n",
        "2  False  False   False    True  \n",
        "3  False  False   False   False  \n",
        "4  False  False   False   False  \n",
        "5  False  False   False   False  \n",
        "6  False  False   False   False  \n",
        "7  False  False   False   False  \n",
        "8  False  False   False   False  \n",
        "9  False  False   False   False  "
       ]
      }
     ],
     "prompt_number": 48
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Explore Global Properties\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Exploratory Plots"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Check global to see if they make sense:\n",
      "data[['score', 'runtime', 'year', 'votes']].describe()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>score</th>\n",
        "      <th>runtime</th>\n",
        "      <th>year</th>\n",
        "      <th>votes</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
        "      <td> 9999.000000</td>\n",
        "      <td> 9999.000000</td>\n",
        "      <td> 9999.000000</td>\n",
        "      <td>   9999.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
        "      <td>    6.385989</td>\n",
        "      <td>  103.580358</td>\n",
        "      <td> 1993.471447</td>\n",
        "      <td>  16605.462946</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
        "      <td>    1.189965</td>\n",
        "      <td>   26.629310</td>\n",
        "      <td>   14.830049</td>\n",
        "      <td>  34564.883945</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
        "      <td>    1.500000</td>\n",
        "      <td>    0.000000</td>\n",
        "      <td> 1950.000000</td>\n",
        "      <td>   1356.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
        "      <td>    5.700000</td>\n",
        "      <td>   93.000000</td>\n",
        "      <td> 1986.000000</td>\n",
        "      <td>   2334.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
        "      <td>    6.600000</td>\n",
        "      <td>  102.000000</td>\n",
        "      <td> 1998.000000</td>\n",
        "      <td>   4981.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
        "      <td>    7.200000</td>\n",
        "      <td>  115.000000</td>\n",
        "      <td> 2005.000000</td>\n",
        "      <td>  15278.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
        "      <td>    9.200000</td>\n",
        "      <td>  450.000000</td>\n",
        "      <td> 2011.000000</td>\n",
        "      <td> 619479.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 49,
       "text": [
        "             score      runtime         year          votes\n",
        "count  9999.000000  9999.000000  9999.000000    9999.000000\n",
        "mean      6.385989   103.580358  1993.471447   16605.462946\n",
        "std       1.189965    26.629310    14.830049   34564.883945\n",
        "min       1.500000     0.000000  1950.000000    1356.000000\n",
        "25%       5.700000    93.000000  1986.000000    2334.500000\n",
        "50%       6.600000   102.000000  1998.000000    4981.000000\n",
        "75%       7.200000   115.000000  2005.000000   15278.500000\n",
        "max       9.200000   450.000000  2011.000000  619479.000000"
       ]
      }
     ],
     "prompt_number": 49
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Remove any zero runtimes\n",
      "print len(data[data.runtime == 0])\n",
      "\n",
      "#probably best to flag those bad data as NAN\n",
      "data.runtime[data.runtime==0] = np.nan"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "282\n"
       ]
      }
     ],
     "prompt_number": 50
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data[['score', 'runtime', 'year', 'votes']].describe()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>score</th>\n",
        "      <th>runtime</th>\n",
        "      <th>year</th>\n",
        "      <th>votes</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
        "      <td> 9999.000000</td>\n",
        "      <td> 9717.000000</td>\n",
        "      <td> 9999.000000</td>\n",
        "      <td>   9999.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
        "      <td>    6.385989</td>\n",
        "      <td>  106.586395</td>\n",
        "      <td> 1993.471447</td>\n",
        "      <td>  16605.462946</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
        "      <td>    1.189965</td>\n",
        "      <td>   20.230330</td>\n",
        "      <td>   14.830049</td>\n",
        "      <td>  34564.883945</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
        "      <td>    1.500000</td>\n",
        "      <td>   45.000000</td>\n",
        "      <td> 1950.000000</td>\n",
        "      <td>   1356.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
        "      <td>    5.700000</td>\n",
        "      <td>   93.000000</td>\n",
        "      <td> 1986.000000</td>\n",
        "      <td>   2334.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
        "      <td>    6.600000</td>\n",
        "      <td>  103.000000</td>\n",
        "      <td> 1998.000000</td>\n",
        "      <td>   4981.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
        "      <td>    7.200000</td>\n",
        "      <td>  115.000000</td>\n",
        "      <td> 2005.000000</td>\n",
        "      <td>  15278.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
        "      <td>    9.200000</td>\n",
        "      <td>  450.000000</td>\n",
        "      <td> 2011.000000</td>\n",
        "      <td> 619479.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 51,
       "text": [
        "             score      runtime         year          votes\n",
        "count  9999.000000  9717.000000  9999.000000    9999.000000\n",
        "mean      6.385989   106.586395  1993.471447   16605.462946\n",
        "std       1.189965    20.230330    14.830049   34564.883945\n",
        "min       1.500000    45.000000  1950.000000    1356.000000\n",
        "25%       5.700000    93.000000  1986.000000    2334.500000\n",
        "50%       6.600000   103.000000  1998.000000    4981.000000\n",
        "75%       7.200000   115.000000  2005.000000   15278.500000\n",
        "max       9.200000   450.000000  2011.000000  619479.000000"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Exploratory Plots (histograms!)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 51
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Exercise: do a histogram of all variables together"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 52
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# more movies in recent years, but not *very* recent movies (they haven't had time to receive lots of votes yet?)\n",
      "fig,ax1 = plt.subplots(1,1)\n",
      "ax1.hist(data.year,bins=np.arange(1950, 2013),color='#eeeeee')\n",
      "ax1.set_title('Movie Releases by Year')\n",
      "ax1.set_xlabel('Release Year')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 53,
       "text": [
        "<matplotlib.text.Text at 0x10795d8d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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sWLJkCaKjoxEeHo74+Hikp6fDYDAgKysLAGA0GhEfHw+j0QgXFxekpaVx2IeI7MrFxeWm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\nlZZZymzU7QAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10706f410>"
       ]
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Update the matplotlib configuration parameters:\n",
      "# plt.rcParams.update({ 'font.family': 'monospace'})"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 54
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 54
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 54
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig,ax1 = plt.subplots(1,1)\n",
      "ax1.hist(data.score, bins=20,color=\"#eeeeee\")\n",
      "ax1.set_title('Movie Rating Frequency')\n",
      "ax1.set_xlabel(\"IMDB rating\")\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 55,
       "text": [
        "<matplotlib.text.Text at 0x107126310>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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BNUQPBoW4cUpOJ6BQKNCJyqFOQKFQ2B389rRrS9uObueIfTqqVuZC62zNTl65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\nZhj8REQyw+AnIpIZBj8Rkcz8PyH8CcK+DsRUAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1066ac110>"
       ]
      }
     ],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "plt.hist(data.runtime.dropna(), bins=50, color='#cccccc')\n",
      "plt.xlabel(\"Movie Run Time\")\n",
      "plt.ylabel(\"Number of Movies\")\n",
      "plt.title('Number of Movies per Run Times')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 56,
       "text": [
        "<matplotlib.text.Text at 0x1084eb290>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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yBABgY2ODe/futcrKBUHgQXoionasyRDZtGlTm6xQoVDgypUrsLOzQ3FxMWxt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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1066a8510>"
       ]
      }
     ],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#hmm, more bad, recent movies. Real, or a selection bias?\n",
      "plt.figure(figsize=(10,5))\n",
      "plt.scatter(data.year, data.score, lw=0, alpha=.05)\n",
      "plt.xlabel(\"Year\")\n",
      "plt.ylabel(\"Score\")\n",
      "plt.title(\"Rating over time\",fontsize='15')\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 57,
       "text": [
        "<matplotlib.text.Text at 0x10875d8d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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M11nrcy7nfZ29qNt9SKfZ7D46WlknknjaZnwkUBwbq9wl12rn8cpGR7kt9pjV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\nc9/6Fsqam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1qlGElIsl6NxiLszf5UWlpw6GQyPpznHH7v3GnZC9QSNTlpY56f9/vT3KPp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\nAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1084e0fd0>"
       ]
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.figure(figsize=(10,5))\n",
      "plt.scatter(data.votes, data.score, lw=0, alpha=.1)\n",
      "plt.xlabel(\"Number of Votes\")\n",
      "plt.ylabel(\"IMDB Rating\")\n",
      "plt.title(\"Votes vs. Ratings\",fontsize='x-large')\n",
      "plt.xscale('log')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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wdFTrXFur8aJE9JmucfBKaCir5xvPEFne/JicrNyga2u1ztPTZ87h+d4FF9Xj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\n9OPPyn3ujbFTgP/wTr+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       "text": [
        "<matplotlib.figure.Figure at 0x1070a1910>"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "### Who are those outliers?\n",
      "# Who is that movie with lots of votes but a score of betweeen 3 and 4?\n",
      "# Over 70000, less than 4\n",
      "data[(data.votes > 7e4) & (data.score < 4)][['Title', 'year', 'score', 'votes', 'genres']]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Title</th>\n",
        "      <th>year</th>\n",
        "      <th>score</th>\n",
        "      <th>votes</th>\n",
        "      <th>genres</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>334</th>\n",
        "      <td> Batman &amp; Robin</td>\n",
        "      <td> 1997</td>\n",
        "      <td> 3.5</td>\n",
        "      <td> 91875</td>\n",
        "      <td> Action|Crime|Fantasy|Sci-Fi</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "              Title  year  score  votes                       genres\n",
        "334  Batman & Robin  1997    3.5  91875  Action|Crime|Fantasy|Sci-Fi"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "# The lowest rated movies\n",
      "data[data.score == data.score.min()][['Title', 'year', 'score', 'votes', 'genres']]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Title</th>\n",
        "      <th>year</th>\n",
        "      <th>score</th>\n",
        "      <th>votes</th>\n",
        "      <th>genres</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1982</th>\n",
        "      <td>     Manos: The Hands of Fate</td>\n",
        "      <td> 1966</td>\n",
        "      <td> 1.5</td>\n",
        "      <td> 20927</td>\n",
        "      <td>                             Horror</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2793</th>\n",
        "      <td> Superbabies: Baby Geniuses 2</td>\n",
        "      <td> 2004</td>\n",
        "      <td> 1.5</td>\n",
        "      <td> 13196</td>\n",
        "      <td>                      Comedy|Family</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3746</th>\n",
        "      <td>            Daniel the Wizard</td>\n",
        "      <td> 2004</td>\n",
        "      <td> 1.5</td>\n",
        "      <td>  8271</td>\n",
        "      <td> Comedy|Crime|Family|Fantasy|Horror</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5158</th>\n",
        "      <td>                 Ben &amp; Arthur</td>\n",
        "      <td> 2002</td>\n",
        "      <td> 1.5</td>\n",
        "      <td>  4675</td>\n",
        "      <td>                      Drama|Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5993</th>\n",
        "      <td>    Night Train to Mundo Fine</td>\n",
        "      <td> 1966</td>\n",
        "      <td> 1.5</td>\n",
        "      <td>  3542</td>\n",
        "      <td>         Action|Adventure|Crime|War</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6257</th>\n",
        "      <td>              Monster a-Go Go</td>\n",
        "      <td> 1965</td>\n",
        "      <td> 1.5</td>\n",
        "      <td>  3255</td>\n",
        "      <td>                      Sci-Fi|Horror</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6726</th>\n",
        "      <td>                   Dream Well</td>\n",
        "      <td> 2009</td>\n",
        "      <td> 1.5</td>\n",
        "      <td>  2848</td>\n",
        "      <td>               Comedy|Romance|Sport</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "                             Title  year  score  votes                              genres\n",
        "1982      Manos: The Hands of Fate  1966    1.5  20927                              Horror\n",
        "2793  Superbabies: Baby Geniuses 2  2004    1.5  13196                       Comedy|Family\n",
        "3746             Daniel the Wizard  2004    1.5   8271  Comedy|Crime|Family|Fantasy|Horror\n",
        "5158                  Ben & Arthur  2002    1.5   4675                       Drama|Romance\n",
        "5993     Night Train to Mundo Fine  1966    1.5   3542          Action|Adventure|Crime|War\n",
        "6257               Monster a-Go Go  1965    1.5   3255                       Sci-Fi|Horror\n",
        "6726                    Dream Well  2009    1.5   2848                Comedy|Romance|Sport"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "# The highest rated movies\n",
      "data[(data.score >7)&(data.year > 2010)][['Title', 'year', 'score', 'votes', 'genres']]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Title</th>\n",
        "      <th>year</th>\n",
        "      <th>score</th>\n",
        "      <th>votes</th>\n",
        "      <th>genres</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>460 </th>\n",
        "      <td>                           X-Men: First Class</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 8.0</td>\n",
        "      <td> 72810</td>\n",
        "      <td>             Action|Adventure|Drama|Sci-Fi</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>609 </th>\n",
        "      <td> Harry Potter and the Deathly Hallows: Part 2</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 8.5</td>\n",
        "      <td> 60422</td>\n",
        "      <td>           Adventure|Drama|Fantasy|Mystery</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>624 </th>\n",
        "      <td>                                         Thor</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.4</td>\n",
        "      <td> 58330</td>\n",
        "      <td>                  Action|Adventure|Fantasy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>733 </th>\n",
        "      <td>                                  Source Code</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.7</td>\n",
        "      <td> 53097</td>\n",
        "      <td>                   Mystery|Sci-Fi|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>766 </th>\n",
        "      <td>                                    Limitless</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.3</td>\n",
        "      <td> 49143</td>\n",
        "      <td>                   Mystery|Sci-Fi|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>905 </th>\n",
        "      <td>                        The Adjustment Bureau</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.1</td>\n",
        "      <td> 44011</td>\n",
        "      <td>                   Romance|Sci-Fi|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>940 </th>\n",
        "      <td>                                    Fast Five</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.6</td>\n",
        "      <td> 42983</td>\n",
        "      <td>               Action|Crime|Drama|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1149</th>\n",
        "      <td>                                         Paul</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.2</td>\n",
        "      <td> 35837</td>\n",
        "      <td>                   Adventure|Comedy|Sci-Fi</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1301</th>\n",
        "      <td>                                        Rango</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.5</td>\n",
        "      <td> 31795</td>\n",
        "      <td> Animation|Adventure|Comedy|Family|Western</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1335</th>\n",
        "      <td>                                      Super 8</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.7</td>\n",
        "      <td> 31297</td>\n",
        "      <td>                   Mystery|Sci-Fi|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1703</th>\n",
        "      <td>                                        Hanna</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.1</td>\n",
        "      <td> 24357</td>\n",
        "      <td>             Action|Crime|Mystery|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1845</th>\n",
        "      <td>                                          Rio</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.1</td>\n",
        "      <td> 22671</td>\n",
        "      <td> Animation|Adventure|Comedy|Family|Musical</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1996</th>\n",
        "      <td>                           The Lincoln Lawyer</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.4</td>\n",
        "      <td> 20445</td>\n",
        "      <td>                      Crime|Drama|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2130</th>\n",
        "      <td>                              Kung Fu Panda 2</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.8</td>\n",
        "      <td> 19102</td>\n",
        "      <td>  Animation|Action|Adventure|Comedy|Family</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2213</th>\n",
        "      <td>                                  Bridesmaids</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.6</td>\n",
        "      <td> 17826</td>\n",
        "      <td>                                    Comedy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2791</th>\n",
        "      <td>                             The Tree of Life</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.9</td>\n",
        "      <td> 13205</td>\n",
        "      <td>                                     Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2923</th>\n",
        "      <td>                                 A Separation</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 8.6</td>\n",
        "      <td> 11954</td>\n",
        "      <td>                                     Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3390</th>\n",
        "      <td>                              Horrible Bosses</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.6</td>\n",
        "      <td>  9798</td>\n",
        "      <td>                              Comedy|Crime</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3590</th>\n",
        "      <td>                            Midnight in Paris</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 8.1</td>\n",
        "      <td>  8852</td>\n",
        "      <td>                    Comedy|Fantasy|Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3791</th>\n",
        "      <td>                            Kill the Irishman</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.1</td>\n",
        "      <td>  8144</td>\n",
        "      <td>                  Biography|Crime|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4060</th>\n",
        "      <td>           Captain America: The First Avenger</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.9</td>\n",
        "      <td>  7191</td>\n",
        "      <td>          Action|Adventure|Sci-Fi|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6008</th>\n",
        "      <td>                                  Delhi Belly</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 8.2</td>\n",
        "      <td>  3509</td>\n",
        "      <td>                        Comedy|Crime|Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6395</th>\n",
        "      <td>                                  Melancholia</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.9</td>\n",
        "      <td>  3135</td>\n",
        "      <td>                              Drama|Sci-Fi</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6842</th>\n",
        "      <td>                                      Win Win</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.7</td>\n",
        "      <td>  2756</td>\n",
        "      <td>                              Comedy|Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6946</th>\n",
        "      <td>                     Kaybedenler Kul\\xfcb\\xfc</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.8</td>\n",
        "      <td>  2680</td>\n",
        "      <td>                              Comedy|Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7141</th>\n",
        "      <td>                                    Jane Eyre</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.8</td>\n",
        "      <td>  2559</td>\n",
        "      <td>                             Drama|Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7857</th>\n",
        "      <td>                      Love Likes Coincidences</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.4</td>\n",
        "      <td>  2136</td>\n",
        "      <td>                             Drama|Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8113</th>\n",
        "      <td>                             Attack the Block</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.4</td>\n",
        "      <td>  2017</td>\n",
        "      <td>                      Action|Comedy|Sci-Fi</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8173</th>\n",
        "      <td>                     Zindagi Na Milegi Dobara</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 8.3</td>\n",
        "      <td>  1982</td>\n",
        "      <td>                             Drama|Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9049</th>\n",
        "      <td>                               Eyyvah eyvah 2</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.3</td>\n",
        "      <td>  1651</td>\n",
        "      <td>                                    Comedy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9145</th>\n",
        "      <td>                        No One Killed Jessica</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.2</td>\n",
        "      <td>  1616</td>\n",
        "      <td>                      Crime|Drama|Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9197</th>\n",
        "      <td>                              Winnie the Pooh</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 7.6</td>\n",
        "      <td>  1598</td>\n",
        "      <td>                          Animation|Family</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9860</th>\n",
        "      <td>                              The Turin Horse</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 8.5</td>\n",
        "      <td>  1389</td>\n",
        "      <td>                                     Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9966</th>\n",
        "      <td>                           Pyaar Ka Punchnama</td>\n",
        "      <td> 2011</td>\n",
        "      <td> 8.0</td>\n",
        "      <td>  1359</td>\n",
        "      <td>                      Comedy|Drama|Romance</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 35,
       "text": [
        "                                             Title  year  score  votes                                     genres\n",
        "460                             X-Men: First Class  2011    8.0  72810              Action|Adventure|Drama|Sci-Fi\n",
        "609   Harry Potter and the Deathly Hallows: Part 2  2011    8.5  60422            Adventure|Drama|Fantasy|Mystery\n",
        "624                                           Thor  2011    7.4  58330                   Action|Adventure|Fantasy\n",
        "733                                    Source Code  2011    7.7  53097                    Mystery|Sci-Fi|Thriller\n",
        "766                                      Limitless  2011    7.3  49143                    Mystery|Sci-Fi|Thriller\n",
        "905                          The Adjustment Bureau  2011    7.1  44011                    Romance|Sci-Fi|Thriller\n",
        "940                                      Fast Five  2011    7.6  42983                Action|Crime|Drama|Thriller\n",
        "1149                                          Paul  2011    7.2  35837                    Adventure|Comedy|Sci-Fi\n",
        "1301                                         Rango  2011    7.5  31795  Animation|Adventure|Comedy|Family|Western\n",
        "1335                                       Super 8  2011    7.7  31297                    Mystery|Sci-Fi|Thriller\n",
        "1703                                         Hanna  2011    7.1  24357              Action|Crime|Mystery|Thriller\n",
        "1845                                           Rio  2011    7.1  22671  Animation|Adventure|Comedy|Family|Musical\n",
        "1996                            The Lincoln Lawyer  2011    7.4  20445                       Crime|Drama|Thriller\n",
        "2130                               Kung Fu Panda 2  2011    7.8  19102   Animation|Action|Adventure|Comedy|Family\n",
        "2213                                   Bridesmaids  2011    7.6  17826                                     Comedy\n",
        "2791                              The Tree of Life  2011    7.9  13205                                      Drama\n",
        "2923                                  A Separation  2011    8.6  11954                                      Drama\n",
        "3390                               Horrible Bosses  2011    7.6   9798                               Comedy|Crime\n",
        "3590                             Midnight in Paris  2011    8.1   8852                     Comedy|Fantasy|Romance\n",
        "3791                             Kill the Irishman  2011    7.1   8144                   Biography|Crime|Thriller\n",
        "4060            Captain America: The First Avenger  2011    7.9   7191           Action|Adventure|Sci-Fi|Thriller\n",
        "6008                                   Delhi Belly  2011    8.2   3509                         Comedy|Crime|Drama\n",
        "6395                                   Melancholia  2011    7.9   3135                               Drama|Sci-Fi\n",
        "6842                                       Win Win  2011    7.7   2756                               Comedy|Drama\n",
        "6946                      Kaybedenler Kul\\xfcb\\xfc  2011    7.8   2680                               Comedy|Drama\n",
        "7141                                     Jane Eyre  2011    7.8   2559                              Drama|Romance\n",
        "7857                       Love Likes Coincidences  2011    7.4   2136                              Drama|Romance\n",
        "8113                              Attack the Block  2011    7.4   2017                       Action|Comedy|Sci-Fi\n",
        "8173                      Zindagi Na Milegi Dobara  2011    8.3   1982                              Drama|Romance\n",
        "9049                                Eyyvah eyvah 2  2011    7.3   1651                                     Comedy\n",
        "9145                         No One Killed Jessica  2011    7.2   1616                       Crime|Drama|Thriller\n",
        "9197                               Winnie the Pooh  2011    7.6   1598                           Animation|Family\n",
        "9860                               The Turin Horse  2011    8.5   1389                                      Drama\n",
        "9966                            Pyaar Ka Punchnama  2011    8.0   1359                       Comedy|Drama|Romance"
       ]
      }
     ],
     "prompt_number": 35
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#etc."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#temp\n",
      "type(data.year)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 59,
       "text": [
        "pandas.core.series.Series"
       ]
      }
     ],
     "prompt_number": 59
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Subset Comparisons\n",
      "Are there natural subsets we'd like to comapre? "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 42
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "# By Decade\n",
      "# Make a separate table with the decades\n",
      "decade =  (data.year / 10) * 10\n",
      "\n",
      "tyd = data[['Title', 'year']]\n",
      "tyd['decade'] = decade\n",
      "\n",
      "tyd.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Title</th>\n",
        "      <th>year</th>\n",
        "      <th>decade</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> The Shawshank Redemption (1994)</td>\n",
        "      <td> 1994</td>\n",
        "      <td> 1990</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>             Pulp Fiction (1994)</td>\n",
        "      <td> 1994</td>\n",
        "      <td> 1990</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>               Fight Club (1999)</td>\n",
        "      <td> 1999</td>\n",
        "      <td> 1990</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>               The Matrix (1999)</td>\n",
        "      <td> 1999</td>\n",
        "      <td> 1990</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>                Inception (2010)</td>\n",
        "      <td> 2010</td>\n",
        "      <td> 2010</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 62,
       "text": [
        "                             Title  year  decade\n",
        "0  The Shawshank Redemption (1994)  1994    1990\n",
        "1              Pulp Fiction (1994)  1994    1990\n",
        "2                Fight Club (1999)  1999    1990\n",
        "3                The Matrix (1999)  1999    1990\n",
        "4                 Inception (2010)  2010    2010"
       ]
      }
     ],
     "prompt_number": 62
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# We can group the score by decade:\n",
      "data.groupby(decade).score.head(10)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 63,
       "text": [
        "year     \n",
        "1950  143    8.9\n",
        "      177    8.7\n",
        "      212    8.8\n",
        "      247    8.6\n",
        "      249    8.5\n",
        "      417    8.4\n",
        "      536    8.2\n",
        "      539    8.4\n",
        "      556    8.7\n",
        "      561    8.4\n",
        "1960  85     9.0\n",
        "      92     8.4\n",
        "      98     8.6\n",
        "      128    8.7\n",
        "      321    8.8\n",
        "...\n",
        "2000  23     8.4\n",
        "      24     8.5\n",
        "      25     8.9\n",
        "      27     8.8\n",
        "      28     8.8\n",
        "2010  4      8.9\n",
        "      100    8.0\n",
        "      117    8.3\n",
        "      122    8.6\n",
        "      145    8.0\n",
        "      178    8.1\n",
        "      257    8.3\n",
        "      277    7.1\n",
        "      301    6.6\n",
        "      346    7.6\n",
        "Length: 70, dtype: float64"
       ]
      }
     ],
     "prompt_number": 63
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#mean score for all movies in each decade\n",
      "decade_mean = data.groupby(decade).score.mean()\n",
      "print(decade_mean)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "year\n",
        "1950    7.244522\n",
        "1960    7.062367\n",
        "1970    6.842297\n",
        "1980    6.248693\n",
        "1990    6.199316\n",
        "2000    6.277858\n",
        "2010    6.344552\n",
        "Name: score, dtype: float64\n"
       ]
      }
     ],
     "prompt_number": 64
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(decade_mean.index, decade_mean.values, 'o-',\n",
      "        color='r', lw=1, label='Decade Average')\n",
      "#plt.scatter(data.year, data.score, alpha=.04, lw=0)\n",
      "plt.xlabel(\"Year\")\n",
      "plt.ylabel(\"Score\")\n",
      "plt.title(\"Average Score per Decade\")\n",
      "#plt.legend(frameon=False) # add a legend\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 39,
       "text": [
        "<matplotlib.text.Text at 0x1070462d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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8+DDGjRsHV1dXAEBubi42b96MXr16maRAgGMUjV5RERAQoCxFPnSo2tUQWQyj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\nIAYFEREZxKAgIiKDGBRERGTQ/wdLM/sBmn7WqwAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x107043450>"
       ]
      }
     ],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(decade_mean.index, decade_mean.values, 'o-',\n",
      "        color='r', lw=1, label='Decade Average')\n",
      "plt.scatter(data.year, data.score, alpha=.04, lw=0)\n",
      "plt.xlabel(\"Year\")\n",
      "plt.ylabel(\"Score\")\n",
      "plt.title(\"Movie Scores over Time\")\n",
      "plt.legend(frameon=False) # add a legend"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 27,
       "text": [
        "<matplotlib.legend.Legend at 0x1075a4150>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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G1CWRTOrZBtS4xsfVJUFmcCgWOpnf7uYinRgZRCY1mdukv199yYODwuQ53/G4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\n4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GE3tGxW3udOl5+rqfEbsPJyAYa5S6+r85P7AYIBsNc1Qy4EvRmKso2RKiq0FzbH5Hwp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\niIgCvgLM0MhLA5LeMAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x107c45f10>"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "len(genresset)\n",
      "# axes.ravel flattens out an array and executes on each one."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "24"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Compare across genres\n",
      "# create a 4x6 grid of plots.\n",
      "fig, axes = plt.subplots(nrows=4, ncols=6, figsize=(12, 8), tight_layout=True)\n",
      "bins = np.arange(1950, 2013, 3)\n",
      "\n",
      "for ax, genre in zip(axes.ravel(), genresset): # Each of 24 axes gets a genre\n",
      "    \n",
      "     #histogram of all the movies by year -- normed, so max is highest level, 0 is lowest level -- in red\n",
      "    ax.hist(data[data[genre] == 1].year, bins=bins, histtype='stepfilled', normed=True, color='r', alpha=.2, ec='none')\n",
      "    \n",
      "    # Histogram of movies per year for all movies -- serves as the identical background for the graph.\n",
      "    ax.hist(data.year, bins=bins, histtype='stepfilled', ec='None', normed=True, zorder=0, color='#cccccc')\n",
      "    \n",
      "   \n",
      "    ax.hist()\n",
      "    \n",
      "    ax.xaxis.set_ticks(np.arange(1950, 2013, 30))\n",
      "    ax.set_yticks([])\n",
      "    ax.annotate(genre, xy=(1955, 3e-2), fontsize=14)\n",
      "\n",
      "    ax.set_xlabel('Year')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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DVlBaWoq0tDQsW7YMr7zyitM/0oYJli0pKQGMbloGADjBwzyJiIhITqFQYOvW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\nAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x108520e10>"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig, axes = plt.subplots(nrows=4, ncols=6, figsize=(12, 8), tight_layout=True)\n",
      "\n",
      "bins = np.arange(30, 240, 10)\n",
      "\n",
      "for ax, genre in zip(axes.ravel(), genresset):\n",
      "    ax.hist(data[data[genre] == 1].runtime, \n",
      "            bins=bins, histtype='stepfilled', color='r', ec='none', alpha=.3, normed=True)\n",
      "               \n",
      "    ax.hist(data.runtime, bins=bins, normed=True,\n",
      "            histtype='stepfilled', ec='none', color='#cccccc',\n",
      "            zorder=0)\n",
      "    \n",
      "    ax.set_xticks(np.arange(30, 240, 60))\n",
      "    ax.set_yticks([])\n",
      "    ax.set_xlabel(\"Runtime [min]\")\n",
      "    #remove_border(ax, left=False)\n",
      "    ax.annotate(genre, xy=(230, .02), ha='right', fontsize=12)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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MJukk88Ah9eVOrejoaMu/b7eN6z6XzcfHR/K39XvXrVuHPn36WLbtqVOnJFdHG8LjlPIE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xyPtTc2NuLOO+907yjn5+cjIiIC7e3t4/mVUBDJy8vDq6++iubmZpw4cQKtra144okn0NLSgpyc\n0e/0dvVi98TERLS0tLjHu7u7YTabYTab8eSTT07kj0AB5C0vkiQhI0N+t6VrrrkGJpMJJpMJycnJ\nsnu/ZWVlyV7rMjMzA/YzUGAMf8+Ji4vD0NCQ7MM5f04Zbmpqgt1uR1pamvt96ZFHHkFnZ+e4npdC\nV3l5Of773//CbDajs7MTOTk5KCsrw6effgqz2YyTJ0+ivLwc1dXVWLp0KaZPn46kpCTs3btXdu+v\nlJQU3lg5SIz2Nz1x4gTy8vJgs9m8vhY899xzEEJgyZIlKCgowKuvvup1e01NTdi8ebP7eZKSktDS\n0iK7H6Wn15VZs2a5v46Li0N/f78mPz8bLD+Ul5fjsccew4YNG5Ceni67ebEQAs3NzaqdlOG8faL7\nz3/+E7t378aHH36I3t5eNDQ0jLj+cFlZWV5nU8nKynKfCnR1GRgYQFpa2qjPS6FnwYIFqKysxIkT\nJzB79mycO3du1Mdcvdj9q6++4k5ymBmeFwCyhgm48qaVnp6O9PR09PT0uD/UAYCLFy/K8qI8Pcxg\n4FtMKPPldD9/ZgqcPXs2oqOjZR/g9Pb2yq6X4AyE4WXp0qXo7e3Fyy+/jGXLlgEAEhMTkZ6ejpde\negkZGRlIS0vDXXfdhV/96lfo6OiA2WzG7bffLttHYm405HSqlzGckeDL3zQrKwsxMTFeXwtSU1Px\n0ksv4dKlS3jxxRfx4x//eMR93Y0bN8r2dS0WC7773e+61wlkPvju56cnnngCtbW1KC8vx549e/DR\nRx/Bbrdj8+bNiImJGfEwpjcWiwXR0dFITk5Gf3+/6rzzkRqtO+64AyaTCVu2bIHVakVfXx9qa2sB\nAI888gh+/etf4+LFiwCAzs5O7N69e8z1UXA6c+YMnn/+efeOcXNzM7Zv346ysjKsX78emzZtwuHD\nhyGEwLlz59w5oPA0Ul4AoKOjA1VVVbDb7XjzzTdx+vRp3H777cjMzMQNN9yAp59+GlarFfX19fj7\n3/+O+++/3+u2UlNT0djYyNMEQ9RE/d3S0tJQUVGBJ598En19fXC5XDh//vyY78tHk0dsbCyuv/56\nPP/887JZ5ZYvX+4es9lssNlsmDFjBgwGA6qrq/H+++/rWPUkV10N7N0rX4adUTUaX/6ms2bNGvG1\n4M0333SfVTNt2jRIkuT+4C41NRXnz593P++PfvQj/O1vf0NtbS2EEOjv78eePXtkHwr6QqvXPTZY\nfpoxYwYqKyvx5z//Gf/4xz/c11nt2bMH7777LiIiIrw+dngHPXyigR/84Ae45pprkJGRgYKCApSV\nlXldV/lcCQkJ2LdvH959912kpaUhNzcXNTU1AIDHH38cq1evRkVFBRITE1FWVuZuvij0JSQk4LPP\nPkNpaSni4+NRVlaGwsJCbN68GXfffTc2btyI++67D4mJiVi3bp3PM0h6+6SHnxCGtpHyIoRAaWkp\nzp49i5SUFPzmN7/Bzp07kZSUBADYvn07GhsbkZ6ejnXr1uF3v/sdvvnNbwLw/Pp0zz33AACmT5+O\n66+/PrA/KI3bSO85/jx++Nevv/46bDYb8vPzkZycjHvuuQdtbW1et0uT38qVK9HZ2Ynly5e7x1as\nWIGuri6Ul5cjPj4eVVVVuPfee5GcnIzt27djzZo1sudgboLLaH9TYOTXgrq6OixduhQJCQlYs2YN\nqqqqkJ2dDeDKzLWVlZVISkrCW2+9heuuuw4vv/wyfvrTnyI5ORnz58/H66+/PmImPH1PqwxJYoRW\nTZKkkP3ksf3gQfT5eOPMnMcfh8RTWUblax5COTe9X36Jzj17fFo37d57MWWEU0HpirHkIVSzY7dY\n0PTyyz6tO23FCswI0mZj69ateOWVV2QXjeslHHIDABdefBGugYFR14tdsAAZipt0klq45ObcuXPo\n7e0ddb3Y2Fjk5+cHoKLQFi65aW1thclkkg+6XJCGzbR3VUl3N1StxtKlQErKhNUXirzlwfthFiIi\nIiIimrSMfX2I9zRzXk4OwCOCfuNhGyIiAsBTs4iIiLTABouIiAAAlZWVnGiAiGiyslphsFjky+Cg\n3lVNSjxFkIgogAy9vcCwe40BAGJjgenT9SmIiIjCgrGlBQmHD+tdRlhgg0VEFECG1lZAOalBWhob\nLCLSnNTfD/z/jMIyy5YBkZEBr4coXLDBAoCmJkA5i+DMmVc+VSYiIiIKQZIQQF+f3mUQhR02WABw\n/Lh6ppSlS9lgTXYul/qu5C6XPrUQERER0aTABovC1+nTwLC7gAOAcYx3/CYiCgRDXx/w5ZfywchI\nYM4cfQoiIiKv2GAREREFOUNfH3DmjHwwLo4NFhFREOI07URERERERBphg0VERERERKQRNlhERERE\nREQaYYNFRERERESkEU5yAcDpdKrGDC4Xu08akcPhgN1ul40ZjUYYlPdUIxpGCAGHwyEbk5xOGHWq\nh0IDc0OjiWptRUxjo3wsMhKO1FTVukYhIKlGib7mcd+4thaGCEXrMHcuMH9+gKoKHWywADQqXpAA\nILWoCAmBL4VCSENDA5xdXbKx9PR0pKWl6VQRhYLu7m50d3fLxmIkCZk61UOhwWKxwKK4jYQhPh5z\ndaqHgpDLBUnRhNsdDo/7ONlOJ3cAaUSecpOeno64uDj5oIdGjHiKIBERERERkWb4AQYRERFRODl7\nFoiOlo+lpwMJPHeHSAtssIiIiIjCiHThAmBUXMGXmMgGi0gjbLCIiIiIwl1bGzAwIB9LTARSUvSp\nhyiEscEiIiIiCnctLeqx7Gw2WER+4CQXREREREREGmGDRUREREREpBE2WERERERERBrhNVhERERE\nISSyqQlxJpNszDA4qFM1RKQ0KRosl8uldwkUgoQQEMwOjZEQAkII2Rhfg2g0nnJD5AtPry/S5cuI\n7OzUoRoKFXxf0tekaLDOnj0Li8UiG4vu7ESMTvVQaGhra0P/hQt6l0Ehxmw2o6GhQTYm2WxI1Kke\nCg1WqxUnT55UjSc4HDxXn0Z07Ngx1c5yXH8/InWqh0ID9431NSkaLCI9xFy4ABEpf4szGI1AWppO\nFRERERGR3thgEfkpordXNSYpb9JIRERERGGFDRYRkd7sdqCrSz4mScD06frUQ0RERH5jg0VEpDOj\n2Qz8z//IB6OigFtu0acgmhhOp94VEBFRALDB8kJqaQFsNvng9OlASoo+BRERUeiyWDD1k0/0roKI\niAKADZYXBpMJ8HCNDRssIiIiIiLyhrPDEhERERERaYRHsIiIiEKQwWYD9u9Xf6OsDIjh3W6IiPTC\nBouIiCgUuVyA4kai7nEiItINGywvTCYTJEmSjcVPnYqZeXk6VUShoLOzE61Hj8rGEhISkJOTo1NF\nFAr6+/tx4cIF2ZgUHY05OtVDocHhcKhyAwAZy5cjOi5Oh4ooVDQ2Nqr2cWbOnIn4+HidKqJQwH1j\n37HB8kIIASGEaoxoJEIIOBVTMSv/TeSJS3HUQeJRCPKBMjdEvvC0j0M0Gk+5kcxm4Msv5SvGxABZ\nWQGsLPiwwSIiIiIiojEzmM3AmTPywaSksG+wOIsgERERERGRRibHESy7HZLdLhvi6TVERERERBRo\nk6LBijl+HMa2Nr3LICIiIiKiMMdTBImIiIiIiDQyKY5gERERERHRFZGNjYjt6pKNGfv7daom/LDB\nIiIaA6mtDQn/+7/yMU53TEREQcTY04Oojg69ywhbbLCIiMbC5YLBZtO7CiIiIgpSvAaLiIiIiIhI\nIzyCRUQUjFwuwGRSj8+YAURGBr4eIiIi8gkbLCKiICQ5nUBdnfobK1eywSIKI7FffAHhdMrGjH19\nOlVDRL5ggzUGktUKXL4sHzQagYQEfQqioGMYGoKxt1c2JkmSTtUQEVGoizSbIex2vcv4msMBKGan\nAwCkpFzZJyIiNlhjYWxtBQ4elA8mJQHLl+tTEAWdKJMJUYrTuqIyMoDFi3WqiIiISENDQ8Dnn6vH\nKyrYYBH9PzZYY2CxWGBTzB5mtNsxU6d6KDRYrVacP39eNiZJEubOnatTRRQKXC4XTB6uwUq2WhGt\nQz0UOpqbmyH19MjGUlJSkJiYqFNFFAouX76MPsWph9GJiUjWqR4KDdw39owN1hjY7XbYFYfpI+Li\ndKqGQoXT6cRXylNLiXzQ7+GmkFMV12IQKdlOnoRQHEmwX3cdwAaLRjA0NKQaM7S1AcePyweD6XRF\n0h33jT1jg0U0wSSrFZHt7YpBXpdFRBMjqq1NNSYtWKBDJRTqDP39QGOj3mUQhRw2WEQTzDgwgLgz\nZ+SDkgTcdps+BRERERHRhOGNhomIiIiIiDTCI1gUHi5fvjK17DDS4KBOxRAREYWBtjbAYpGPJSYC\nM8N9CgSa7NhgUXiorwcU96cydnbqVAwREdEkMzQECCEfa26+0mQNl5XFBosmPTZYRERERDQ+Bw74\ntp7Fop44IyICyMzUvCQKAZ9/DignAps7F8jP16cejbDBGienxYLWmhrV+KwVK2DgDfdoBBcvXlSN\nzZw5EzExMTpUQ6Gi++RJmBU7JwmzZyMxI0OfgigkmM1mWBSvOXFxcZgxY4ZOFVEoGBgcRKfibA+D\nwYDp06f7/6Q9PVeW4aZMYYM1HqdPq4YMHqbdDxSnxYLWjz5Sjc8qL4chQtF6CKE+8jkJhFSDJYTA\naQ8hMlqtus3WIQYHMXDkiPoby5bxjuZBxGQywdHdLRtzKK7JCjTlmxYAJCUlscEKIiaTCZeV9zBr\na0OkPuUAAKz19aqxaIMBYIMVNMxmM9qUp0VZLLrmZrC7G32KMVdKChusIDI4OIhGD1OiR7hc0OvG\nHnabDb2Km8hGRkWNr8EiTQkh0OKhmVHe/DeQxOAgBo4dU39jxYrAF6OTkGqwAGBgYEA1NsXl4nSI\nNCKr1QqH1ap3GTJGxTVhAFQTcZC+rFar6jUn0m7XdUeZgp/D4VDlxjA0pGtuYi5eBBRHsCLnzwcW\nLtSpIlJyuVwe93F4e2gajTXI9m8oBBusUGHatk11M9lpN96IKdnZ+hREwUUIxHv4dMcUF4d2xSfK\nycnJSE5ODlRlFIJ6enpw+dw52diUKVOQlpamU0UUCvr7+3FOkZuIiAhk832KRuCw29Ha2qoaT01N\nhZFn7tAImqurIRnkh0RSAMTqU86EmtADPzUerk0aL4PFolokp9Pjup8p3jgCqebQIQxevixbxPHj\nwCefjL4cOXLlSIZyGcv2J+B3Hyjjql2IKxdLKhZpDL8/PXNz4NNP0dvbK1uGAngeddjmRgN65uaz\n996D4+OPZYvt6NGAbV/v3/14aV2/obkZUw8ckC0JdXUe19UzN06rFfurq9HX1vb1orzYfAIxN/7T\nMzdCCOyvr8fAwIBsEQG6joa5GR89s/Pf//wHtrNnZYuzT3nyMgC7HRgYkC8a7AsF8nc/oUewampq\nsGrVKk2fM+HwYZ/X/ezcOZTOm6fp9sezbXNzM75SfOpjMBoRofjExxgRgaSWFvWT3norEOnbSSYT\n8bsPlHHV7nAAtbWq4bHc80rP3Bzbtw/l0dGyMcvcuTjb3y8bMxgMiFasBwAZGRmQJP/P1g/b3GhA\nz9x8fuoUyq65RjZmjYnB2bNnZWOSEIhvalI9PnnJEkRNner39vX+3Y+XnvXrmZvI7m4cf+893Djs\nAygRHY2zHo6Yx8TEqF5bpk2bhvj4eL+3z9z4T8/ceNt+e3u7KiMREREwKI5YxMTEqHPjdAKK66QB\nAElJgOLxzM34BN2+sdmMr776SjZmaG9HhGJ/35CUhOS1a8e1/UD+7nmKYAD5eo6sJEnoV96YD0Ca\n1QqjcufZaFSdikihS3K5YFBcmOpqbITTZJKNOQHYPTz+zA03qMZmz56NKVOmaFglhQLR34+hL7+U\njUlOJ3D+vGrdywkJwLRpsrGUlJTxXcje3g4oX/OmTr2yUPCy2+H6+GPVcOe110IoJuAxd3UhUjEj\nWEJiIjKysia0xEmhq0t1fygpxGdSG/Txg0yj0aiaPMhoNCLN0xGK2bOvTOE+XAQWh/AAAAwySURB\nVEcHcOKEfGzaNM5CGKJ8vn6svx+9O3eqhrNmz/bt1NQA33st4A2WzWaDy+WSjRkMBtUnHAN9fTA1\nNMgfLASixzDjkSEuDhE6zZA03m17OqGt6733VGOR06bBGKs4e9Vuh/XCBfR98MHXY9HRiC4oUD9+\n6lTV+bDByN7RAafiBVmSJNV/KpfDAZOHySNEYqLPYQ/l3NgvXVKNdUkSeuLiZGORkZGIiopSrTs0\nNKR644tTPBbw/KlkMHI6nbDb5a2op9wAQFNTk2pdIYTq5zcmJHj8GwVbbiIARCunQgYADzU6IyLg\nUuzcXb58WXXBvdFo9DjLpafcxDY1waD4oMgwZw6MIdBguRwO2DycthIRH6/6QKvj2DEMdnTIxgxD\nQz5nQc/cjGX70U1N6g/znE7V9MqO5GS0eNhhivPQrA8ODqpyExUVhQjFDrXBYFCNBSvrJ5+ofieG\nvDxIig8weltaYFE2CZKEZA9nqUhJSaqxUMmNN8p9HKckod1DbqKbm1XvNdbeXvQpJmyRbDZEKXag\nJUlCpI9n/ejN533jgQGP17/FhMm+MTxMAtPl4ZY3UVFR6v1DqN+rJElCrHIfGlf2kcZzNhAAQIxg\n5cqVAgAXLgKAWLly5UhxYW64eFx8zQ2zw2X4wtxw8Wdhbrj4szA3XPxdvGVHEiLEj0kTEREREREF\nieA/x4eIiIiIiChEsMEiIiIiIiLSCBssIiIiIiIijWjSYA0NDaG0tBTFxcXIz8/H008/DQDo6enB\nzTffjNzcXFRUVKhmC9LSli1bsGjRIhQUFGDLli0Tuv0HH3wQqampWLRokXvsmWeeQWZmJkpKSlBS\nUoLq6mr39/74xz9i/vz5yMvLw/vvvz/u7Tc3N+PGG2/EwoULUVBQgKqqKgDAm2++iYULF8JoNOKw\n4v4BWtegFb2zE8jcAPpmh7nRDnPD3PiDuWFu/MV9nNDLDnMT5rnxedqUUfT39wshhLDb7aK0tFQc\nPHhQ/PKXvxR/+tOfhBBCPPvss2LDhg1abU7m+PHjoqCgQAwODgqHwyG+9a1viXPnzk3Y9g8cOCAO\nHz4sCgoK3GPPPPOM2Lx5s2rdkydPiqKiImGz2URDQ4PIyckRTqdzXNs3mUziyJEjQggh+vr6RG5u\nrvjiiy/EqVOnxJkzZ8SqVavEoUOHJrQGLemVnUDnRgh9s8PcaIO5YW78wdwwN/7iPk7oZoe5Cd/c\naHaK4NV7xdhsNjidTiQlJWH37t2orKwEAFRWVuLf//63VpuTOX36NEpLSxETEwOj0YiVK1di586d\nE7b9FStWIMnDfSmEhwkZ33nnHXz/+99HZGQksrOzMW/ePNTW1o5r+7NmzUJxcTEAID4+Htdeey1a\nW1uRl5eH3NzcgNSgJb2yE+jcAPpmh7nRBnPD3PiDuWFu/MV9nNDNDnMTvrnRrMFyuVwoLi5Gamqq\n+xBde3s7UlNTAQCpqalob2/XanMyBQUFOHjwIHp6ejAwMIC9e/eipaUlYNu/6oUXXkBRUREeeugh\n9yHX1tZWZA67u3hmZiYuebgZrL8aGxtx5MgRlJaWel1nomsYL72yEyy5AQKfHebGf8wNc+MP5oa5\n8VewZIf7OGPH3IRvbjRrsAwGA44ePYqWlhYcOHAA+/fvl31fkqTx3xXZi7y8PGzYsAEVFRW47bbb\nUFxcrLqD80RuHwAeffRRNDQ04OjRo0hLS8PPf/5zr+tqVYfFYsHdd9+NLVu2ID4+fkyPncjfxVjp\nlZ1gyA0Q+OwwN+PD3DA3/mBumBt/BUN2uI/jH+YmfHOj+SyCU6dOxR133IFDhw4hNTUVbW1tAACT\nyYSZM2dqvTm3Bx98EHV1dfj444+RlJSE3NzcgG5/5syZ7qCuX7/efZgxIyMDzc3N7vVaWlqQkZEx\n7u3Z7XbcdddduP/++7F27doR152oGrSmR3b0zg0Q2OwwN9pgbrxjbrxjbrxjbkamd3a4jzM+zE34\n5UaTBqurq8t92G9wcBD79u1DSUkJVq9ejddeew0A8Nprr436w45HR0cHAODixYt4++23cd999wV0\n+yaTyf31rl273LOorF69Gv/6179gs9nQ0NCAs2fPYsmSJePalhACDz30EPLz8/HEE094XeeqiahB\nK3pnR+/cAIHLDnOjHeZGvc5VzI13zI16nauYm5HpnR3u44wdcxPmudFipoz6+npRUlIiioqKxKJF\ni8Rzzz0nhBCiu7tb3HTTTWL+/Pni5ptvFmazWYvNebRixQqRn58vioqKxEcffTSh2//e974n0tLS\nRGRkpMjMzBSvvPKKeOCBB8SiRYtEYWGhWLNmjWhra3Ov//vf/17k5OSIBQsWiPfee2/c2z948KCQ\nJEkUFRWJ4uJiUVxcLPbu3St27dolMjMzRUxMjEhNTRW33nrrhNWgFb2zE8jcCKFvdpgb7TA3zI0/\nmBvmxl/cxwm97DA34Z0bSQgP03sQERERERHRmGl+DRYREREREVG4YoNFRERERESkETZYRERERERE\nGmGDRUREREREpBE2WERERERERBphg0VERERERKQRNlhEREREREQaCeoGy2g0oqSkBIWFhVi3bh0s\nFovfz/WHP/xB9u9ly5aNtzyVrVu3IiUlBQ8//PCYHvfb3/4WH3744Yjr7NixA/Pnz8d3vvOd8ZQY\nFpibrzE3vmNuvsbc+I65+Rpz4zvm5mvMzdgwO18L6uxoettijcXHx7u/rqysFJs2bdLkuSbK1q1b\nxWOPPTZhz19TUyO+/e1vT9jzTxbMjRxz4xvmRo658Q1zI8fc+Ia5kWNufMfsyAVrdoL6CNZwS5cu\nxfnz5wEAq1atwqFDhwAAXV1dmDNnDoArXfK6detw2223ITc3Fxs2bAAAPPXUUxgcHERJSQkeeOAB\nAEB8fDwAoKamBitXrsTatWuRk5ODp556Ctu2bcOSJUtQWFiICxcuAAA6Oztx9913Y8mSJViyZAk+\n/fRTj3UKIdxfb926FWvXrkVFRQXmzJmDv/zlL9i0aRMWL16MsrIymM1mAMAPf/hD7Ny5EwCQnZ2N\nZ555Btdddx0KCwtx5swZj89NvmFumBt/MDfMjT+YG+bGH8wNc+MvZid4sxMSDZbT6cS+fftQUFAA\nAJAkCZIkeVz32LFjeOONN3D8+HHs2LEDly5dwrPPPovY2FgcOXIE27Ztcz/HVfX19XjxxRdx6tQp\nbNu2DefPn0dtbS3Wr1+PF154AQDw+OOP42c/+xlqa2vx1ltvYf369T7VfvLkSezatQuff/45Nm7c\niMTERBw+fBhlZWV4/fXXVT+PJElISUnBoUOH8Oijj2LTpk3+/dKIuSG/MDfkD+aG/MHckL+YneAW\noXcBI7naWV+6dAnZ2dl45JFHRn3MTTfdhISEBABAfn4+mpqakJGRMeJjvvGNbyA1NRUAMG/ePNxy\nyy0AgIKCAuzfvx8A8MEHH+DUqVPux/T19WFgYABxcXFen1eSJNx4442YMmUKpkyZgmnTprnPE120\naBHq6+s9Pm7dunUAgMWLF+Ptt98e9WcmOeaGufEHc8Pc+IO5YW78wdwwN/5idkIjO0HdYF3trAcH\nB3HLLbfgnXfewZ133omIiAi4XC4AwNDQkOwx0dHR7q+NRiMcDseo2xn+GIPB4P63wWBwP14Igc8+\n+wxRUVFj+hl8eW5vj/G1fpJjbpgbfzA3zI0/mBvmxh/MDXPjL2YnNLITEqcIxsbGoqqqChs3boQQ\nAtnZ2airqwMAvPXWWz49R2Rk5Lj+IBUVFaiqqnL/++jRo6M+ZqTzQoP1nNHJhLkhfzA35A/mhvzB\n3JC/mJ3gFtQN1vBzQYuLizFv3jy88cYb+MUvfoG//vWvWLx4Mbq7u2XnaHo7//Thhx9GYWGh+0K+\n4et5e8zw56uqqkJdXR2KioqwcOFCvPTSSz7V7207I9Xqy+PJO+aGufEHc8Pc+IO5YW78wdwwN/5i\ndkIjO5KYTO2izl577TXU1dW5L/7TWk1NDTZv3ox33313Qp6f9MHckD+YG/IHc0P+YG7IX+GanaA+\nghVqYmNjUV1dPeabqflix44d+MlPfoLk5GTNn5v0xdyQP5gb8gdzQ/5gbshf4ZodHsEiIiIiIiLS\nCI9gERERERERaYQNFhERERERkUbYYBEREREREWmEDRYREREREZFG/g9V15tZtiH03wAAAABJRU5E\nrkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1075918d0>"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig, axes = plt.subplots(nrows=4, ncols=6, figsize=(12, 8), tight_layout=True)\n",
      "\n",
      "bins = np.arange(0, 10, .5)\n",
      "\n",
      "for ax, genre in zip(axes.ravel(), genresset):\n",
      "    ax.hist(data[data[genre] == 1].score, \n",
      "            bins=bins, histtype='stepfilled', color='r', ec='none', alpha=.3, normed=True)\n",
      "               \n",
      "    ax.hist(data.score, bins=bins, normed=True,\n",
      "            histtype='stepfilled', ec='none', color='#cccccc',\n",
      "            zorder=0)\n",
      "    \n",
      "    ax.set_yticks([])\n",
      "    ax.set_xlabel(\"Score\")\n",
      "    #remove_border(ax, left=False)\n",
      "    ax.set_ylim(0, .4)\n",
      "    ax.annotate(genre, xy=(.8, .2), ha='left', fontsize=10)\n",
      " "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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zFY7bNMVsBurq1Avi4oCkpOAHFK4aG4HDh1XNCq/ECbqILbBMJhMaJJNc8HkP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       "text": [
        "<matplotlib.figure.Figure at 0x10aedab90>"
       ]
      }
     ],
     "prompt_number": 31
    }
   ],
   "metadata": {}
  }
 ]
}