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   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# A Rubric for Data Wrangling and Exploration\n",
      "\n",
      "Companion to Lecture 4 of [Harvard CS109: Data Science](http://cs109.org) | Prepared by [Chris Beaumont](http://chrisbeaumont.org)\n",
      "\n",
      "<img src=http://gearpatrol.com/wp-content/uploads/2013/05/tom-hanks-castaway-fire.jpg>\n",
      "\n",
      "*This scene from Cast Away is an accurate metaphor for the amount of time you'll spend cleaning data, and the delirium you'll experience at the end.*"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "\n",
      "import matplotlib.pyplot as plt\n",
      "import pandas as pd\n",
      "import numpy as np\n",
      "\n",
      "#tell pandas to display wide tables as pretty HTML tables\n",
      "pd.set_option('display.width', 500)\n",
      "pd.set_option('display.max_columns', 100)\n",
      "\n",
      "def remove_border(axes=None, top=False, right=False, left=True, bottom=True):\n",
      "    \"\"\"\n",
      "    Minimize chartjunk by stripping out unnecesasry plot borders and axis ticks\n",
      "    \n",
      "    The top/right/left/bottom keywords toggle whether the corresponding plot border is drawn\n",
      "    \"\"\"\n",
      "    ax = axes or plt.gca()\n",
      "    ax.spines['top'].set_visible(top)\n",
      "    ax.spines['right'].set_visible(right)\n",
      "    ax.spines['left'].set_visible(left)\n",
      "    ax.spines['bottom'].set_visible(bottom)\n",
      "    \n",
      "    #turn off all ticks\n",
      "    ax.yaxis.set_ticks_position('none')\n",
      "    ax.xaxis.set_ticks_position('none')\n",
      "    \n",
      "    #now re-enable visibles\n",
      "    if top:\n",
      "        ax.xaxis.tick_top()\n",
      "    if bottom:\n",
      "        ax.xaxis.tick_bottom()\n",
      "    if left:\n",
      "        ax.yaxis.tick_left()\n",
      "    if right:\n",
      "        ax.yaxis.tick_right()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 59
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "I'd like to suggest a basic rubric for the early stages of exploratory data analysis in Python. This isn't universally applicable, but it does cover many patterns which recur in several data analysis contexts. It's useful to keep this rubric in mind when encountering a new  dataset.\n",
      "\n",
      "The basic workflow is as follows:\n",
      "\n",
      "1. **Build** a DataFrame from the data (ideally, put *all* data in this object)\n",
      "2. **Clean** the DataFrame. It should have the following properties:\n",
      "   * Each row describes a single object\n",
      "   * Each column describes a property of that object\n",
      "   * Columns are numeric whenever appropriate\n",
      "   * Columns contain atomic properties that cannot be further decomposed\n",
      "3. Explore **global properties**. Use histograms, scatter plots, and aggregation functions to summarize the data.\n",
      "4. Explore **group properties**. Use groupby and small multiples to compare subsets of the data.\n",
      "\n",
      "This process transforms your data into a format which is easier to work with, gives you a basic overview of \n",
      "the data's properties, and likely generates several questions for you to followup in subsequent analysis."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here's a preview of the raw data we'll use -- it's a list of the 10,000 movies made since 1950 with the most IMDB user ratings. It was scraped about a year ago from [pages like this](http://www.imdb.com/search/title?sort=num_votes,desc&title_type=feature&year=1950,2012). Download the data at [http://bit.ly/cs109_imdb](http://bit.ly/cs109_imdb)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!head imdb_top_10000.txt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "tt0111161\tThe Shawshank Redemption (1994)\t1994\t 9.2\t619479\t142 mins.\tCrime|Drama\r\n",
        "tt0110912\tPulp Fiction (1994)\t1994\t 9.0\t490065\t154 mins.\tCrime|Thriller\r\n",
        "tt0137523\tFight Club (1999)\t1999\t 8.8\t458173\t139 mins.\tDrama|Mystery|Thriller\r\n",
        "tt0133093\tThe Matrix (1999)\t1999\t 8.7\t448114\t136 mins.\tAction|Adventure|Sci-Fi\r\n",
        "tt1375666\tInception (2010)\t2010\t 8.9\t385149\t148 mins.\tAction|Adventure|Sci-Fi|Thriller\r\n",
        "tt0109830\tForrest Gump (1994)\t1994\t 8.7\t368994\t142 mins.\tComedy|Drama|Romance\r\n",
        "tt0169547\tAmerican Beauty (1999)\t1999\t 8.6\t338332\t122 mins.\tDrama\r\n",
        "tt0499549\tAvatar (2009)\t2009\t 8.1\t336855\t162 mins.\tAction|Adventure|Fantasy|Sci-Fi\r\n",
        "tt0108052\tSchindler's List (1993)\t1993\t 8.9\t325888\t195 mins.\tBiography|Drama|History|War\r\n",
        "tt0080684\tStar Wars: Episode V - The Empire Strikes Back (1980)\t1980\t 8.8\t320105\t124 mins.\tAction|Adventure|Family|Sci-Fi\r\n"
       ]
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## 1. Build a DataFrame\n",
      "\n",
      "The textfile is tab-separated, and doesn't have any column headers. We\n",
      "set the appropriate keywords in `pd.read_csv` to handle this"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "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\" % data.shape[0]\n",
      "data.head()  # print the first 5 rows"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of rows: 9999\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": 61,
       "text": [
        "      imdbID                            title  year  score   votes    runtime                            genres\n",
        "0  tt0111161  The Shawshank Redemption (1994)  1994    9.2  619479  142 mins.                       Crime|Drama\n",
        "1  tt0110912              Pulp Fiction (1994)  1994    9.0  490065  154 mins.                    Crime|Thriller\n",
        "2  tt0137523                Fight Club (1999)  1999    8.8  458173  139 mins.            Drama|Mystery|Thriller\n",
        "3  tt0133093                The Matrix (1999)  1999    8.7  448114  136 mins.           Action|Adventure|Sci-Fi\n",
        "4  tt1375666                 Inception (2010)  2010    8.9  385149  148 mins.  Action|Adventure|Sci-Fi|Thriller"
       ]
      }
     ],
     "prompt_number": 61
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## 2. Clean the DataFrame\n",
      "\n",
      "There are several problems with the DataFrame at this point:\n",
      "\n",
      "1. The runtime column describes a number, but is stored as a string\n",
      "2. The genres column is not atomic -- it aggregates several genres together. This makes it hard, for example, to extract which movies are Comedies.\n",
      "3. The movie year is repeated in the title and year column\n",
      "\n",
      "### Fixing the runtime column\n",
      "\n",
      "The following snipptet converts a string like '142 mins.' to the number 142:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dirty = '142 mins.'\n",
      "number, text = dirty.split(' ')\n",
      "clean = int(number)\n",
      "print number"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "142\n"
       ]
      }
     ],
     "prompt_number": 62
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can package this up into a list comprehension"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "clean_runtime = [float(r.split(' ')[0]) for r in data.runtime]\n",
      "data['runtime'] = clean_runtime\n",
      "data.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>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</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</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</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</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</td>\n",
        "      <td> Action|Adventure|Sci-Fi|Thriller</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 63,
       "text": [
        "      imdbID                            title  year  score   votes  runtime                            genres\n",
        "0  tt0111161  The Shawshank Redemption (1994)  1994    9.2  619479      142                       Crime|Drama\n",
        "1  tt0110912              Pulp Fiction (1994)  1994    9.0  490065      154                    Crime|Thriller\n",
        "2  tt0137523                Fight Club (1999)  1999    8.8  458173      139            Drama|Mystery|Thriller\n",
        "3  tt0133093                The Matrix (1999)  1999    8.7  448114      136           Action|Adventure|Sci-Fi\n",
        "4  tt1375666                 Inception (2010)  2010    8.9  385149      148  Action|Adventure|Sci-Fi|Thriller"
       ]
      }
     ],
     "prompt_number": 63
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Splitting up the genres"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can use the concept of *indicator variables* to split the genres column into many columns. Each new column will correspond to a single genre, and each cell will be True or False."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#determine the unique genres\n",
      "genres = set()\n",
      "for m in data.genres:\n",
      "    genres.update(g for g in m.split('|'))\n",
      "genres = sorted(genres)\n",
      "\n",
      "#make a column for each genre\n",
      "for genre in genres:\n",
      "    data[genre] = [genre in movie.split('|') for movie in data.genres]\n",
      "         \n",
      "data.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>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",
        "      <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",
        "      <th>News</th>\n",
        "      <th>Reality-TV</th>\n",
        "      <th>Romance</th>\n",
        "      <th>Sci-Fi</th>\n",
        "      <th>Sport</th>\n",
        "      <th>Thriller</th>\n",
        "      <th>War</th>\n",
        "      <th>Western</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</td>\n",
        "      <td>                      Crime|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>  True</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",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</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</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",
        "      <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",
        "    </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</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",
        "      <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",
        "    </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</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",
        "      <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>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</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",
        "      <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",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 64,
       "text": [
        "      imdbID                            title  year  score   votes  runtime                            genres Action  Adult Adventure Animation Biography Comedy  Crime  Drama Family Fantasy Film-Noir History Horror  Music Musical Mystery   News Reality-TV Romance Sci-Fi  Sport Thriller    War Western\n",
        "0  tt0111161  The Shawshank Redemption (1994)  1994    9.2  619479      142                       Crime|Drama  False  False     False     False     False  False   True   True  False   False     False   False  False  False   False   False  False      False   False  False  False    False  False   False\n",
        "1  tt0110912              Pulp Fiction (1994)  1994    9.0  490065      154                    Crime|Thriller  False  False     False     False     False  False   True  False  False   False     False   False  False  False   False   False  False      False   False  False  False     True  False   False\n",
        "2  tt0137523                Fight Club (1999)  1999    8.8  458173      139            Drama|Mystery|Thriller  False  False     False     False     False  False  False   True  False   False     False   False  False  False   False    True  False      False   False  False  False     True  False   False\n",
        "3  tt0133093                The Matrix (1999)  1999    8.7  448114      136           Action|Adventure|Sci-Fi   True  False      True     False     False  False  False  False  False   False     False   False  False  False   False   False  False      False   False   True  False    False  False   False\n",
        "4  tt1375666                 Inception (2010)  2010    8.9  385149      148  Action|Adventure|Sci-Fi|Thriller   True  False      True     False     False  False  False  False  False   False     False   False  False  False   False   False  False      False   False   True  False     True  False   False"
       ]
      }
     ],
     "prompt_number": 64
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Removing year from the title\n",
      "We can fix each element by stripping off the last 7 characters"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data['title'] = [t[0:-7] for t in data.title]\n",
      "data.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>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",
        "      <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",
        "      <th>News</th>\n",
        "      <th>Reality-TV</th>\n",
        "      <th>Romance</th>\n",
        "      <th>Sci-Fi</th>\n",
        "      <th>Sport</th>\n",
        "      <th>Thriller</th>\n",
        "      <th>War</th>\n",
        "      <th>Western</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> tt0111161</td>\n",
        "      <td> The Shawshank Redemption</td>\n",
        "      <td> 1994</td>\n",
        "      <td> 9.2</td>\n",
        "      <td> 619479</td>\n",
        "      <td> 142</td>\n",
        "      <td>                      Crime|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>  True</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",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "      <td> False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> tt0110912</td>\n",
        "      <td>             Pulp Fiction</td>\n",
        "      <td> 1994</td>\n",
        "      <td> 9.0</td>\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",
        "      <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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> tt0137523</td>\n",
        "      <td>               Fight Club</td>\n",
        "      <td> 1999</td>\n",
        "      <td> 8.8</td>\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",
        "      <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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> tt0133093</td>\n",
        "      <td>               The Matrix</td>\n",
        "      <td> 1999</td>\n",
        "      <td> 8.7</td>\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",
        "      <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>4</th>\n",
        "      <td> tt1375666</td>\n",
        "      <td>                Inception</td>\n",
        "      <td> 2010</td>\n",
        "      <td> 8.9</td>\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",
        "      <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",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 65,
       "text": [
        "      imdbID                     title  year  score   votes  runtime                            genres Action  Adult Adventure Animation Biography Comedy  Crime  Drama Family Fantasy Film-Noir History Horror  Music Musical Mystery   News Reality-TV Romance Sci-Fi  Sport Thriller    War Western\n",
        "0  tt0111161  The Shawshank Redemption  1994    9.2  619479      142                       Crime|Drama  False  False     False     False     False  False   True   True  False   False     False   False  False  False   False   False  False      False   False  False  False    False  False   False\n",
        "1  tt0110912              Pulp Fiction  1994    9.0  490065      154                    Crime|Thriller  False  False     False     False     False  False   True  False  False   False     False   False  False  False   False   False  False      False   False  False  False     True  False   False\n",
        "2  tt0137523                Fight Club  1999    8.8  458173      139            Drama|Mystery|Thriller  False  False     False     False     False  False  False   True  False   False     False   False  False  False   False    True  False      False   False  False  False     True  False   False\n",
        "3  tt0133093                The Matrix  1999    8.7  448114      136           Action|Adventure|Sci-Fi   True  False      True     False     False  False  False  False  False   False     False   False  False  False   False   False  False      False   False   True  False    False  False   False\n",
        "4  tt1375666                 Inception  2010    8.9  385149      148  Action|Adventure|Sci-Fi|Thriller   True  False      True     False     False  False  False  False  False   False     False   False  False  False   False   False  False      False   False   True  False     True  False   False"
       ]
      }
     ],
     "prompt_number": 65
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## 3. Explore global properties\n",
      "\n",
      "Next, we get a handle on some basic, global summaries of the DataFrame.\n",
      "\n",
      "### Call `describe` on relevant columns"
     ]
    },
    {
     "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> 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": 66,
       "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": 66
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#hmmm, a runtime of 0 looks suspicious. How many movies have that?\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": 67
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "After flagging bad runtimes, we repeat"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data.runtime.describe()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 68,
       "text": [
        "count    9717.000000\n",
        "mean      106.586395\n",
        "std        20.230330\n",
        "min        45.000000\n",
        "25%        93.000000\n",
        "50%       103.000000\n",
        "75%       115.000000\n",
        "max       450.000000\n",
        "dtype: float64"
       ]
      }
     ],
     "prompt_number": 68
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Make some basic plots"
     ]
    },
    {
     "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",
      "plt.hist(data.year, bins=np.arange(1950, 2013), color='#cccccc')\n",
      "plt.xlabel(\"Release Year\")\n",
      "remove_border()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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aNDQ0oKGhASaTSTru8ePHccsttwx5PYVCgQceeACHDx9GfHw8Ghoa8Omnn+Jv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\nRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x106e95390>"
       ]
      }
     ],
     "prompt_number": 69
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.hist(data.score, bins=20, color='#cccccc')\n",
      "plt.xlabel(\"IMDB rating\")\n",
      "remove_border()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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G9u3biYmJ4b777gsu27VrF/Hx8fz5z38GoKioCLvdTmZmJqNGjeLqq69m27Zt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\nGHXf8AAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1071851d0>"
       ]
      }
     ],
     "prompt_number": 70
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.hist(data.runtime.dropna(), bins=50, color='#cccccc')\n",
      "plt.xlabel(\"Runtime distribution\")\n",
      "remove_border()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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AAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x107705c90>"
       ]
      }
     ],
     "prompt_number": 71
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#hmm, more bad, recent movies. Real, or a selection bias?\n",
      "\n",
      "plt.scatter(data.year, data.score, lw=0, alpha=.08, color='k')\n",
      "plt.xlabel(\"Year\")\n",
      "plt.ylabel(\"IMDB Rating\")\n",
      "remove_border()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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n5fHk5CTa7TYGBgbQ19eHS5cuCQR0+PBhEQCQQGWmQFl1NpsV5VYoFEI+n5fC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\nAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x108b86490>"
       ]
      }
     ],
     "prompt_number": 72
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.scatter(data.votes, data.score, lw=0, alpha=.2, color='k')\n",
      "plt.xlabel(\"Number of Votes\")\n",
      "plt.ylabel(\"IMDB Rating\")\n",
      "plt.xscale('log')\n",
      "remove_border()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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G98BTERCISFpaWsLU1BSTbZT5DwYDFItFNBoNjEYjWK1W7uAkQhW4XUulBhh6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\n4Q/qvrDUAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10775c210>"
       ]
      }
     ],
     "prompt_number": 73
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Identify some outliers"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# low-score movies with lots of votes\n",
      "data[(data.votes > 9e4) & (data.score < 5)][['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>317</th>\n",
        "      <td>       New Moon</td>\n",
        "      <td> 2009</td>\n",
        "      <td> 4.5</td>\n",
        "      <td> 90457</td>\n",
        "      <td> Adventure|Drama|Fantasy|Romance</td>\n",
        "    </tr>\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": 74,
       "text": [
        "              title  year  score  votes                           genres\n",
        "317        New Moon  2009    4.5  90457  Adventure|Drama|Fantasy|Romance\n",
        "334  Batman & Robin  1997    3.5  91875      Action|Crime|Fantasy|Sci-Fi"
       ]
      }
     ],
     "prompt_number": 74
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "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": 75,
       "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": 75
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# The highest rated movies\n",
      "data[data.score == data.score.max()][['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>0 </th>\n",
        "      <td> The Shawshank Redemption</td>\n",
        "      <td> 1994</td>\n",
        "      <td> 9.2</td>\n",
        "      <td> 619479</td>\n",
        "      <td> Crime|Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26</th>\n",
        "      <td>            The Godfather</td>\n",
        "      <td> 1972</td>\n",
        "      <td> 9.2</td>\n",
        "      <td> 474189</td>\n",
        "      <td> Crime|Drama</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 76,
       "text": [
        "                       title  year  score   votes       genres\n",
        "0   The Shawshank Redemption  1994    9.2  619479  Crime|Drama\n",
        "26             The Godfather  1972    9.2  474189  Crime|Drama"
       ]
      }
     ],
     "prompt_number": 76
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Run aggregation functions like `sum` over several rows or columns"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "*What genres are the most frequent?*"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#sum sums over rows by default\n",
      "genre_count = np.sort(data[genres].sum())[::-1]\n",
      "pd.DataFrame({'Genre Count': genre_count})"
     ],
     "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>Genre Count</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Drama</th>\n",
        "      <td> 5697</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Comedy</th>\n",
        "      <td> 3922</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Thriller</th>\n",
        "      <td> 2832</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Romance</th>\n",
        "      <td> 2441</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Action</th>\n",
        "      <td> 1891</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Crime</th>\n",
        "      <td> 1867</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Adventure</th>\n",
        "      <td> 1313</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Horror</th>\n",
        "      <td> 1215</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mystery</th>\n",
        "      <td> 1009</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Fantasy</th>\n",
        "      <td>  916</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Sci-Fi</th>\n",
        "      <td>  897</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Family</th>\n",
        "      <td>  754</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>War</th>\n",
        "      <td>  512</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Biography</th>\n",
        "      <td>  394</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Music</th>\n",
        "      <td>  371</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>History</th>\n",
        "      <td>  358</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Animation</th>\n",
        "      <td>  314</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Sport</th>\n",
        "      <td>  288</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Musical</th>\n",
        "      <td>  260</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Western</th>\n",
        "      <td>  235</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Film-Noir</th>\n",
        "      <td>   40</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Adult</th>\n",
        "      <td>    9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>News</th>\n",
        "      <td>    1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Reality-TV</th>\n",
        "      <td>    1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 77,
       "text": [
        "            Genre Count\n",
        "Drama              5697\n",
        "Comedy             3922\n",
        "Thriller           2832\n",
        "Romance            2441\n",
        "Action             1891\n",
        "Crime              1867\n",
        "Adventure          1313\n",
        "Horror             1215\n",
        "Mystery            1009\n",
        "Fantasy             916\n",
        "Sci-Fi              897\n",
        "Family              754\n",
        "War                 512\n",
        "Biography           394\n",
        "Music               371\n",
        "History             358\n",
        "Animation           314\n",
        "Sport               288\n",
        "Musical             260\n",
        "Western             235\n",
        "Film-Noir            40\n",
        "Adult                 9\n",
        "News                  1\n",
        "Reality-TV            1"
       ]
      }
     ],
     "prompt_number": 77
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "*How many genres does a movie have, on average?*"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#axis=1 sums over columns instead\n",
      "genre_count = data[genres].sum(axis=1) \n",
      "print \"Average movie has %0.2f genres\" % genre_count.mean()\n",
      "genre_count.describe()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Average movie has 2.75 genres\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 78,
       "text": [
        "count    9999.000000\n",
        "mean        2.753975\n",
        "std         1.168910\n",
        "min         1.000000\n",
        "25%         2.000000\n",
        "50%         3.000000\n",
        "75%         3.000000\n",
        "max         8.000000\n",
        "dtype: float64"
       ]
      }
     ],
     "prompt_number": 78
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Explore Group Properties"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Let's split up movies by decade"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "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</td>\n",
        "      <td> 1994</td>\n",
        "      <td> 1990</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>             Pulp Fiction</td>\n",
        "      <td> 1994</td>\n",
        "      <td> 1990</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>               Fight Club</td>\n",
        "      <td> 1999</td>\n",
        "      <td> 1990</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>               The Matrix</td>\n",
        "      <td> 1999</td>\n",
        "      <td> 1990</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>                Inception</td>\n",
        "      <td> 2010</td>\n",
        "      <td> 2010</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 79,
       "text": [
        "                      title  year  decade\n",
        "0  The Shawshank Redemption  1994    1990\n",
        "1              Pulp Fiction  1994    1990\n",
        "2                Fight Club  1999    1990\n",
        "3                The Matrix  1999    1990\n",
        "4                 Inception  2010    2010"
       ]
      }
     ],
     "prompt_number": 79
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[GroupBy](http://pandas.pydata.org/pandas-docs/dev/groupby.html) will gather movies into groups with equal decade values"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#mean score for all movies in each decade\n",
      "decade_mean = data.groupby(decade).score.mean()\n",
      "decade_mean.name = 'Decade Mean'\n",
      "print decade_mean\n",
      "\n",
      "plt.plot(decade_mean.index, decade_mean.values, 'o-',\n",
      "        color='r', lw=3, label='Decade Average')\n",
      "plt.scatter(data.year, data.score, alpha=.04, lw=0, color='k')\n",
      "plt.xlabel(\"Year\")\n",
      "plt.ylabel(\"Score\")\n",
      "plt.legend(frameon=False)\n",
      "remove_border()"
     ],
     "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: Decade Mean, dtype: float64\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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ZYrj2dhJHOBzGiRMnhGobDocNxxwcHES5XJZ7EolEUC6X5Tms1+sGIgjJJVer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\nbASk8zPG9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J0s1icDAOhUZtgs8wWk3KyLRKVJJ7Pp2OXYUBHSoc8Vf0NDg96tKKV0wp7b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\nMI6Qxz1FkwcAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x108f178d0>"
       ]
      }
     ],
     "prompt_number": 80
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can go one further, and compute the scatter in each year as well"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "grouped_scores = data.groupby(decade).score\n",
      "\n",
      "mean = grouped_scores.mean()\n",
      "std = grouped_scores.std()\n",
      "\n",
      "plt.plot(decade_mean.index, decade_mean.values, 'o-',\n",
      "        color='r', lw=3, label='Decade Average')\n",
      "plt.fill_between(decade_mean.index, (decade_mean + std).values,\n",
      "                 (decade_mean - std).values, color='r', alpha=.2)\n",
      "plt.scatter(data.year, data.score, alpha=.04, lw=0, color='k')\n",
      "plt.xlabel(\"Year\")\n",
      "plt.ylabel(\"Score\")\n",
      "plt.legend(frameon=False)\n",
      "remove_border()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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lZYUfL5PJ8I2BjtGJoy4g2riTeV/btjmBT8fMZrN9JCFjrI9vKZfL68jMarXK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\np+rwXmZz8xrpQ2Kvbk7+MvjAzHIHMOFnb7JglUMJ0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knJRQXhYsYqhxKFP46J+ByYsSvL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\nuXs8duwYWlpa8nLf05EzHsUo57Fjx3DzzTdj586d+PCHP5yxnAXbOZw5c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       "text": [
        "<matplotlib.figure.Figure at 0x107770890>"
       ]
      }
     ],
     "prompt_number": 81
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "You can also iterate over a GroupBy object. Each iteration yields two variables: one of the distinct values of the group key, and the subset of the dataframe where the key equals that value. To find the most popular movie each year:\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for year, subset in data.groupby('year'):\n",
      "    print year, subset[subset.score == subset.score.max()].title.values"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1950 ['Sunset Blvd.']\n",
        "1951 ['Strangers on a Train']\n",
        "1952 [\"Singin' in the Rain\"]\n",
        "1953 ['The Wages of Fear' 'Tokyo Story']\n",
        "1954 ['Seven Samurai']\n",
        "1955 ['Diabolique']\n",
        "1956 ['The Killing']\n",
        "1957 ['12 Angry Men']\n",
        "1958 ['Vertigo']\n",
        "1959 ['North by Northwest']\n",
        "1960 ['Psycho']\n",
        "1961 ['Yojimbo']\n",
        "1962 ['To Kill a Mockingbird' 'Lawrence of Arabia']\n",
        "1963 ['The Great Escape' 'High and Low']\n",
        "1964 ['Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb']\n",
        "1965 ['For a Few Dollars More']\n",
        "1966 ['The Good, the Bad and the Ugly']\n",
        "1967 ['Cool Hand Luke']\n",
        "1968 ['Once Upon a Time in the West']\n",
        "1969 ['Butch Cassidy and the Sundance Kid' 'Army of Shadows']\n",
        "1970 ['Patton' 'The Conformist' 'Le Cercle Rouge']\n",
        "1971 ['A Clockwork Orange']\n",
        "1972 ['The Godfather']\n",
        "1973 ['The Sting' 'Scenes from a Marriage']\n",
        "1974 ['The Godfather: Part II']\n",
        "1975 ['Outrageous Class']\n",
        "1976 ['Tosun Pasa']\n",
        "1977 ['Star Wars: Episode IV - A New Hope']\n",
        "1978 ['The Girl with the Red Scarf']\n",
        "1979 ['Apocalypse Now']\n",
        "1980 ['Star Wars: Episode V - The Empire Strikes Back']\n",
        "1981 ['Raiders of the Lost Ark']\n",
        "1982 ['The Marathon Family']\n",
        "1983 ['Star Wars: Episode VI - Return of the Jedi']\n",
        "1984 ['Balkan Spy']\n",
        "1985 ['The Broken Landlord']\n",
        "1986 ['Aliens']\n",
        "1987 ['Mr. Muhsin']\n",
        "1988 ['Cinema Paradiso']\n",
        "1989 ['Indiana Jones and the Last Crusade' \"Don't Let Them Shoot the Kite\"]\n",
        "1990 "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "['Goodfellas']\n",
        "1991 ['The Silence of the Lambs']\n",
        "1992 ['Reservoir Dogs']\n",
        "1993 [\"Schindler's List\"]\n",
        "1994 ['The Shawshank Redemption']\n",
        "1995 ['The Usual Suspects' 'Se7en']\n",
        "1996 ['Fargo' 'The Bandit']\n",
        "1997 ['Life Is Beautiful']\n",
        "1998 ['American History X']\n",
        "1999 ['Fight Club']\n",
        "2000 ['Memento']\n",
        "2001 ['The Lord of the Rings: The Fellowship of the Ring']\n",
        "2002 ['City of God']\n",
        "2003 ['The Lord of the Rings: The Return of the King']\n",
        "2004 ['Eternal Sunshine of the Spotless Mind']\n",
        "2005 ['My Father and My Son']\n",
        "2006 ['The Departed' 'The Lives of Others']\n",
        "2007 ['Like Stars on Earth']\n",
        "2008 ['The Dark Knight']\n",
        "2009 ['Inglourious Basterds']\n",
        "2010 ['Inception']\n",
        "2011 ['A Separation']\n"
       ]
      }
     ],
     "prompt_number": 82
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Small multiples\n",
      "\n",
      "Let's split up the movies by genre, and look at how their release year/runtime/IMDB score vary.\n",
      "The distribution for all movies is shown as a grey background.\n",
      "\n",
      "This isn't a standard groupby, so we can't use the `groupby` method here. A manual loop is needed"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#create a 4x6 grid of plots.\n",
      "fig, axes = plt.subplots(nrows=4, ncols=6, figsize=(12, 8), \n",
      "                         tight_layout=True)\n",
      "\n",
      "bins = np.arange(1950, 2013, 3)\n",
      "for ax, genre in zip(axes.ravel(), genres):\n",
      "    ax.hist(data[data[genre] == 1].year, \n",
      "            bins=bins, histtype='stepfilled', normed=True, color='r', alpha=.3, ec='none')\n",
      "    ax.hist(data.year, bins=bins, histtype='stepfilled', ec='None', normed=True, zorder=0, color='#cccccc')\n",
      "    \n",
      "    ax.annotate(genre, xy=(1955, 3e-2), fontsize=14)\n",
      "    ax.xaxis.set_ticks(np.arange(1950, 2013, 30))\n",
      "    ax.set_yticks([])\n",
      "    remove_border(ax, left=False)\n",
      "    ax.set_xlabel('Year')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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HtWvXYuDAgXj77bfNt+H7902OEpJptbDmIXhMsKxJURFgNDQHABReXjCew0tm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\nrkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x107799350>"
       ]
      }
     ],
     "prompt_number": 83
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Some subtler patterns here:\n",
      "\n",
      "1. Westerns and Musicals have a more level distribution\n",
      "2. Film Noir movies were much more popular in the 50s and 60s"
     ]
    },
    {
     "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(), genres):\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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9GlevXsU333yD0NBQ9O/fX4ZvoJ09aLg1qK2txZYtW2CxWBAfHw8A0Ov1qKysRGxsLHJy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\niDTCBouIiIiIiEgjbLCIiIiIiIg08v99j+IJ87j2NwAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10aa11750>"
       ]
      }
     ],
     "prompt_number": 84
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "1. Biographies and history movies are longer\n",
      "1. Animated movies are shorter\n",
      "1. Film-Noir movies have the same mean, but are more conentrated around a 100 minute runtime\n",
      "1. Musicals have the same mean, but greater dispersion in runtimes"
     ]
    },
    {
     "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(), genres):\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=(0, .2), ha='left', fontsize=12)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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naY+SeYggEREREZFXVqvs7TMIo6HHMTU1sgVhVEGBahcfIq/AcruBhgbvy4iI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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10a814210>"
       ]
      }
     ],
     "prompt_number": 85
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "1. Film-noirs, histories, and biographies have higher ratings (a selection effect?)\n",
      "1. Horror movies and adult films have lower ratings"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Other Resources\n",
      "\n",
      "* Chapters 5 and 7 of [Python for Data Analysis](http://www.amazon.com/Python-Data-Analysis-Wes-McKinney/dp/1449319793)\n",
      "* IPython notebook on [Data wrangling with Pandas](http://nbviewer.ipython.org/urls/gist.github.com/fonnesbeck/5850413/raw/3a9406c73365480bc58d5e75bc80f7962243ba17/2.+Data+Wrangling+with+Pandas.ipynb)\n",
      "* [Lecture 4](https://drive.google.com/folderview?id=0BxYkKyLxfsNVd0xicUVDS1dIS0k&usp=sharing) of Harvard's CS 109: Data Science"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "*css tweaks in this cell*\n",
      "\n",
      "<style> \n",
      "div.text_cell_render {\n",
      "    line-height: 135%;\n",
      "    font-size: 110%;\n",
      "    width: 800px; \n",
      "    margin-left:50px;\n",
      "    margin-right:auto;\n",
      "    }\n",
      "    \n",
      "li {\n",
      "    line-height: 135%;\n",
      "}\n",
      "</style>"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}