gb_expl_analysis.ipynb

{
 "metadata": {
  "name": "",
  "signature": "sha256:b09233d8f8a86be17d963a76b8d535e483a61737b422fd69ff93d944dc874150"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "- AC209 Final Project\n",
      "- Giant Bomb Exploratory analysis\n",
      "- Start Date: November 9, 2014"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# special IPython command to prepare the notebook for matplotlib\n",
      "%matplotlib inline \n",
      "\n",
      "import json\n",
      "\n",
      "from pandas import DataFrame\n",
      "\n",
      "import scipy.stats\n",
      "from scipy.stats import norm\n",
      "import matplotlib.mlab as mlab\n",
      "\n",
      "\n",
      "import requests \n",
      "import numpy as np\n",
      "import pandas as pd # pandas\n",
      "import matplotlib.pyplot as plt # module for plotting "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#nice defaults for matplotlib\n",
      "from matplotlib import rcParams\n",
      "\n",
      "dark2_colors = [(0.10588235294117647, 0.6196078431372549, 0.4666666666666667),\n",
      "                (0.8509803921568627, 0.37254901960784315, 0.00784313725490196),\n",
      "                (0.4588235294117647, 0.4392156862745098, 0.7019607843137254),\n",
      "                (0.9058823529411765, 0.1607843137254902, 0.5411764705882353),\n",
      "                (0.4, 0.6509803921568628, 0.11764705882352941),\n",
      "                (0.9019607843137255, 0.6705882352941176, 0.00784313725490196),\n",
      "                (0.6509803921568628, 0.4627450980392157, 0.11372549019607843),\n",
      "                (0.4, 0.4, 0.4)]\n",
      "\n",
      "rcParams['figure.figsize'] = (10, 6)\n",
      "rcParams['figure.dpi'] = 150\n",
      "rcParams['axes.color_cycle'] = dark2_colors\n",
      "rcParams['lines.linewidth'] = 2\n",
      "rcParams['axes.grid'] = True\n",
      "rcParams['axes.facecolor'] = '#eeeeee'\n",
      "rcParams['font.size'] = 14\n",
      "rcParams['patch.edgecolor'] = 'none'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Exploratory Analysis Questions \n",
      "(Nov. 8, 2014)\n",
      "\n",
      "Some possible questions which can help us explore our data set better. \n",
      "\n",
      "- ** Giant Bomb Score Distribution ** What is the distribution of all of Giant Bomb's game review scores? Is it centered around the numerical mid point 3?\n",
      "\n",
      "\n",
      "- ** Game Score and Company ** Game Quality  How does the quality of a game correlate with the company which produced it? (Are good games typically made by the same companies?)\n",
      "\n",
      "\n",
      "- ** Game Type Popularity ** Which types of games are the most popular? (Can be determined by figuring out which games have the most number of user reviews)\n",
      "\n",
      "\n",
      "- ** Giant Bomb Review Scores Over the Years ** Has the average of GB's game review scores changed over the years? (Can create a scatter plot of all game scores over the year or average the game scores for each year and plot over the years in a box plot)\n",
      "\n",
      "\n",
      "- ** User Review Distribution ** What types of games tend to have the lowest user reviews??\n",
      "\n",
      "\n",
      "    - Untapped markets: A gaming field (e.g., RPGs, adventure puzzle solving, etc.) with many reviews but, in general, low quality (i.e. score) games suggests there is an untapped market to produce high quality popular games. \n",
      "\n",
      "\n",
      "- ** User Reviews and Critics Score** Do user reviews correlate with critics score? \n",
      "\n",
      "\n",
      "- **(Netflix Prize revamped)** Can we predict the score a reviewer would give a game based on the reviews he gave to other games?\n",
      "\n",
      "\n",
      "    * Probably too difficult: Giant Bomb doesn't seem to give access to user data.\n",
      "\n",
      "\n",
      "- ** Reviewer Score Distribution ** Are some reviewers more difficult to impress than others? For each reviewer what is their distribution of scores? \n",
      "\n",
      "\n",
      "Other APIs or Data Sets to look at and why\n",
      "\n",
      "- "
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Giant Bomb Score Distribution"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "offset = 0\n",
      "url_reviews = 'http://www.giantbomb.com/api/reviews/?api_key=' + key + '&format=json&offset=' + str(offset)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# response format for API\n",
      "resp_review = requests.get(url_reviews)\n",
      "\n",
      "# loads text of response into json format\n",
      "review_info = json.loads(resp_review.text)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# number of results on a single page\n",
      "print review_info['number_of_page_results']\n",
      "# total number of results for all pages\n",
      "print review_info['number_of_total_results']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "100\n",
        "651\n"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# list of the possible keys; the results key is the most important\n",
      "review_info.keys()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "[u'number_of_page_results',\n",
        " u'status_code',\n",
        " u'error',\n",
        " u'results',\n",
        " u'version',\n",
        " u'limit',\n",
        " u'offset',\n",
        " u'number_of_total_results']"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# defines a list of the games from the review infor dictionary\n",
      "game_results = review_info['results']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "len(game_results)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "100"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "## creating a dictionary of game names, score, reviewer, and review date\n",
      "\n",
      "g_names = list()\n",
      "g_score = list()\n",
      "g_reviewer = list()\n",
      "g_rv_date = list()\n",
      "\n",
      "for offset in np.array(range(7))*100: # cycle through possible offests\n",
      "\n",
      "    url_reviews = 'http://www.giantbomb.com/api/reviews/?api_key=' + key + '&format=json&offset=' + str(offset)\n",
      "    \n",
      "    resp_review = requests.get(url_reviews)\n",
      "    \n",
      "    review_info = json.loads(resp_review.text)\n",
      "\n",
      "    game_results = review_info['results']\n",
      "\n",
      "    for elem in game_results:\n",
      "        game = elem['game']\n",
      "        if type(game) == dict: # to ensure that we only consider non-empty entries\n",
      "            g_score.append(elem['score'])\n",
      "            g_names.append(game['name'])\n",
      "            g_reviewer.append(elem['reviewer'])\n",
      "            g_rv_date.append(elem['publish_date'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# defining gaming data frame\n",
      "\n",
      "game_dict = {'Name': g_names, 'Giant Bomb Score': g_score, 'Reviewer': g_reviewer, 'Date of Review':g_rv_date }\n",
      "\n",
      "game_frame = DataFrame(game_dict, columns = ['Name', 'Giant Bomb Score', 'Reviewer', 'Date of Review'])\n",
      "\n",
      "game_frame"
     ],
     "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>Name</th>\n",
        "      <th>Giant Bomb Score</th>\n",
        "      <th>Reviewer</th>\n",
        "      <th>Date of Review</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0  </th>\n",
        "      <td>                                          SingStar</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-05-23 13:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1  </th>\n",
        "      <td>                                              Haze</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-05-20 17:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2  </th>\n",
        "      <td>          Metal Gear Solid 4: Guns of the Patriots</td>\n",
        "      <td> 5</td>\n",
        "      <td>    Brad</td>\n",
        "      <td> 2008-06-20 12:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3  </th>\n",
        "      <td>                                       Poker Smash</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-02-29 12:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4  </th>\n",
        "      <td>                          Battlefield: Bad Company</td>\n",
        "      <td> 5</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-07-06 12:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5  </th>\n",
        "      <td>       LEGO Indiana Jones: The Original Adventures</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Brad</td>\n",
        "      <td> 2008-07-02 12:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6  </th>\n",
        "      <td>             Robert Ludlum's The Bourne Conspiracy</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Ryan</td>\n",
        "      <td> 2008-07-02 12:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7  </th>\n",
        "      <td>                                  Burnout Paradise</td>\n",
        "      <td> 5</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-03-01 12:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8  </th>\n",
        "      <td>          Professor Layton and the Curious Village</td>\n",
        "      <td> 5</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-03-07 10:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9  </th>\n",
        "      <td>                           Super Smash Bros. Brawl</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-03-13 15:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10 </th>\n",
        "      <td>                                       Army of Two</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-03-16 20:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11 </th>\n",
        "      <td>                           Rocketmen: Axis of Evil</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-03-22 10:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12 </th>\n",
        "      <td>                        Bully: Scholarship Edition</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Ryan</td>\n",
        "      <td> 2008-03-26 13:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13 </th>\n",
        "      <td>                 Tom Clancy's Rainbow Six: Vegas 2</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-03-27 13:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14 </th>\n",
        "      <td>                            Condemned 2: Bloodshot</td>\n",
        "      <td> 5</td>\n",
        "      <td>    Ryan</td>\n",
        "      <td> 2008-03-27 16:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15 </th>\n",
        "      <td>                                             TiQal</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-03-31 11:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16 </th>\n",
        "      <td>                         Viking: Battle for Asgard</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-04-01 14:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17 </th>\n",
        "      <td>                     Hot Shots Golf: Out of Bounds</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Ryan</td>\n",
        "      <td> 2008-04-03 18:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18 </th>\n",
        "      <td>                                Mr. Driller Online</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Ryan</td>\n",
        "      <td> 2008-04-07 18:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19 </th>\n",
        "      <td>                                           Ikaruga</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-04-21 13:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20 </th>\n",
        "      <td>                                Rocky &amp; Bullwinkle</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-05-21 14:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21 </th>\n",
        "      <td>                                       Dark Sector</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-04-25 15:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>22 </th>\n",
        "      <td>                           NBA Ballers: Chosen One</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-04-28 10:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>23 </th>\n",
        "      <td>                           Gran Turismo 5 Prologue</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Ryan</td>\n",
        "      <td> 2008-05-05 16:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24 </th>\n",
        "      <td>                               Grand Theft Auto IV</td>\n",
        "      <td> 5</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-05-05 16:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25 </th>\n",
        "      <td>                                    Mario Kart Wii</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Ryan</td>\n",
        "      <td> 2008-05-07 16:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26 </th>\n",
        "      <td>                                    Target: Terror</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-05-07 17:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>27 </th>\n",
        "      <td>                                         Boom Blox</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2008-05-12 18:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>28 </th>\n",
        "      <td>                                Defend Your Castle</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Ryan</td>\n",
        "      <td> 2008-05-18 15:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>29 </th>\n",
        "      <td> Penny Arcade Adventures: On the Rain-Slick Pre...</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Ryan</td>\n",
        "      <td> 2008-05-22 18:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>620</th>\n",
        "      <td>                                      Tesla Effect</td>\n",
        "      <td> 3</td>\n",
        "      <td> Patrick</td>\n",
        "      <td> 2014-05-21 11:06:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>621</th>\n",
        "      <td>                        Wolfenstein: The New Order</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Alex</td>\n",
        "      <td> 2014-05-21 13:40:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>622</th>\n",
        "      <td>                                        Watch Dogs</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2014-05-27 00:01:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>623</th>\n",
        "      <td>                                     Shovel Knight</td>\n",
        "      <td> 4</td>\n",
        "      <td> Patrick</td>\n",
        "      <td> 2014-06-26 17:58:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>624</th>\n",
        "      <td>                     Valiant Hearts: The Great War</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Alex</td>\n",
        "      <td> 2014-07-02 13:30:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>625</th>\n",
        "      <td>                 Diablo III: Ultimate Evil Edition</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2014-08-18 13:58:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>626</th>\n",
        "      <td>                            Divinity: Original Sin</td>\n",
        "      <td> 4</td>\n",
        "      <td> Patrick</td>\n",
        "      <td> 2014-08-21 16:31:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>627</th>\n",
        "      <td>                                     Madden NFL 15</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Alex</td>\n",
        "      <td> 2014-08-27 10:55:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>628</th>\n",
        "      <td>                                            NHL 15</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Alex</td>\n",
        "      <td> 2014-09-11 11:31:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>629</th>\n",
        "      <td>                                           Destiny</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2014-09-12 11:29:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>630</th>\n",
        "      <td>                                   Hyrule Warriors</td>\n",
        "      <td> 3</td>\n",
        "      <td>     Dan</td>\n",
        "      <td> 2014-09-18 11:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>631</th>\n",
        "      <td>                                 Super Smash Bros.</td>\n",
        "      <td> 4</td>\n",
        "      <td>     Dan</td>\n",
        "      <td> 2014-09-26 14:56:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>632</th>\n",
        "      <td>                    Danganronpa 2: Goodbye Despair</td>\n",
        "      <td> 3</td>\n",
        "      <td> Patrick</td>\n",
        "      <td> 2014-10-01 10:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>633</th>\n",
        "      <td>                    Middle-earth: Shadow of Mordor</td>\n",
        "      <td> 5</td>\n",
        "      <td>    Brad</td>\n",
        "      <td> 2014-09-30 15:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>634</th>\n",
        "      <td>                         D4: Dark Dreams Don't Die</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Alex</td>\n",
        "      <td> 2014-09-30 14:25:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>635</th>\n",
        "      <td>                                   Forza Horizon 2</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2014-10-01 18:05:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>636</th>\n",
        "      <td>                                  Alien: Isolation</td>\n",
        "      <td> 4</td>\n",
        "      <td> Patrick</td>\n",
        "      <td> 2014-10-06 17:04:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>637</th>\n",
        "      <td>                                         Driveclub</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2014-10-07 18:22:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>638</th>\n",
        "      <td>                                       Bayonetta 2</td>\n",
        "      <td> 5</td>\n",
        "      <td>     Dan</td>\n",
        "      <td> 2014-10-13 20:22:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>639</th>\n",
        "      <td>            Sid Meier's Civilization: Beyond Earth</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Alex</td>\n",
        "      <td> 2014-10-29 10:50:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>640</th>\n",
        "      <td>                                   The Evil Within</td>\n",
        "      <td> 2</td>\n",
        "      <td> Patrick</td>\n",
        "      <td> 2014-10-29 12:04:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>641</th>\n",
        "      <td>                                  Sunset Overdrive</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Brad</td>\n",
        "      <td> 2014-10-31 14:45:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>642</th>\n",
        "      <td>                    Call of Duty: Advanced Warfare</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2014-11-03 00:00:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>643</th>\n",
        "      <td>                                          NBA 2K15</td>\n",
        "      <td> 3</td>\n",
        "      <td>    Alex</td>\n",
        "      <td> 2014-11-05 09:14:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>644</th>\n",
        "      <td>                                       NBA Live 15</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Alex</td>\n",
        "      <td> 2014-11-05 09:33:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>645</th>\n",
        "      <td>                           Assassin's Creed: Unity</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Alex</td>\n",
        "      <td> 2014-11-13 12:13:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>646</th>\n",
        "      <td>                           Dragon Age: Inquisition</td>\n",
        "      <td> 4</td>\n",
        "      <td> Matthew</td>\n",
        "      <td> 2014-11-18 14:02:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>647</th>\n",
        "      <td>                                         Far Cry 4</td>\n",
        "      <td> 4</td>\n",
        "      <td>    Jeff</td>\n",
        "      <td> 2014-11-18 15:17:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>648</th>\n",
        "      <td>                                          WWE 2K15</td>\n",
        "      <td> 2</td>\n",
        "      <td>    Alex</td>\n",
        "      <td> 2014-11-20 08:30:00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>649</th>\n",
        "      <td>                                 Super Smash Bros.</td>\n",
        "      <td> 4</td>\n",
        "      <td>     Dan</td>\n",
        "      <td> 2014-11-21 13:40:00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>650 rows \u00d7 4 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "                                                  Name  Giant Bomb Score  \\\n",
        "0                                             SingStar                 4   \n",
        "1                                                 Haze                 2   \n",
        "2             Metal Gear Solid 4: Guns of the Patriots                 5   \n",
        "3                                          Poker Smash                 4   \n",
        "4                             Battlefield: Bad Company                 5   \n",
        "5          LEGO Indiana Jones: The Original Adventures                 3   \n",
        "6                Robert Ludlum's The Bourne Conspiracy                 3   \n",
        "7                                     Burnout Paradise                 5   \n",
        "8             Professor Layton and the Curious Village                 5   \n",
        "9                              Super Smash Bros. Brawl                 4   \n",
        "10                                         Army of Two                 3   \n",
        "11                             Rocketmen: Axis of Evil                 2   \n",
        "12                          Bully: Scholarship Edition                 4   \n",
        "13                   Tom Clancy's Rainbow Six: Vegas 2                 4   \n",
        "14                              Condemned 2: Bloodshot                 5   \n",
        "15                                               TiQal                 2   \n",
        "16                           Viking: Battle for Asgard                 3   \n",
        "17                       Hot Shots Golf: Out of Bounds                 3   \n",
        "18                                  Mr. Driller Online                 2   \n",
        "19                                             Ikaruga                 4   \n",
        "20                                  Rocky & Bullwinkle                 2   \n",
        "21                                         Dark Sector                 2   \n",
        "22                             NBA Ballers: Chosen One                 2   \n",
        "23                             Gran Turismo 5 Prologue                 3   \n",
        "24                                 Grand Theft Auto IV                 5   \n",
        "25                                      Mario Kart Wii                 3   \n",
        "26                                      Target: Terror                 2   \n",
        "27                                           Boom Blox                 4   \n",
        "28                                  Defend Your Castle                 3   \n",
        "29   Penny Arcade Adventures: On the Rain-Slick Pre...                 4   \n",
        "..                                                 ...               ...   \n",
        "620                                       Tesla Effect                 3   \n",
        "621                         Wolfenstein: The New Order                 4   \n",
        "622                                         Watch Dogs                 3   \n",
        "623                                      Shovel Knight                 4   \n",
        "624                      Valiant Hearts: The Great War                 4   \n",
        "625                  Diablo III: Ultimate Evil Edition                 4   \n",
        "626                             Divinity: Original Sin                 4   \n",
        "627                                      Madden NFL 15                 4   \n",
        "628                                             NHL 15                 2   \n",
        "629                                            Destiny                 3   \n",
        "630                                    Hyrule Warriors                 3   \n",
        "631                                  Super Smash Bros.                 4   \n",
        "632                     Danganronpa 2: Goodbye Despair                 3   \n",
        "633                     Middle-earth: Shadow of Mordor                 5   \n",
        "634                          D4: Dark Dreams Don't Die                 4   \n",
        "635                                    Forza Horizon 2                 4   \n",
        "636                                   Alien: Isolation                 4   \n",
        "637                                          Driveclub                 2   \n",
        "638                                        Bayonetta 2                 5   \n",
        "639             Sid Meier's Civilization: Beyond Earth                 3   \n",
        "640                                    The Evil Within                 2   \n",
        "641                                   Sunset Overdrive                 4   \n",
        "642                     Call of Duty: Advanced Warfare                 4   \n",
        "643                                           NBA 2K15                 3   \n",
        "644                                        NBA Live 15                 2   \n",
        "645                            Assassin's Creed: Unity                 2   \n",
        "646                            Dragon Age: Inquisition                 4   \n",
        "647                                          Far Cry 4                 4   \n",
        "648                                           WWE 2K15                 2   \n",
        "649                                  Super Smash Bros.                 4   \n",
        "\n",
        "    Reviewer       Date of Review  \n",
        "0       Jeff  2008-05-23 13:00:00  \n",
        "1       Jeff  2008-05-20 17:00:00  \n",
        "2       Brad  2008-06-20 12:00:00  \n",
        "3       Jeff  2008-02-29 12:00:00  \n",
        "4       Jeff  2008-07-06 12:00:00  \n",
        "5       Brad  2008-07-02 12:00:00  \n",
        "6       Ryan  2008-07-02 12:00:00  \n",
        "7       Jeff  2008-03-01 12:00:00  \n",
        "8       Jeff  2008-03-07 10:00:00  \n",
        "9       Jeff  2008-03-13 15:00:00  \n",
        "10      Jeff  2008-03-16 20:00:00  \n",
        "11      Jeff  2008-03-22 10:00:00  \n",
        "12      Ryan  2008-03-26 13:00:00  \n",
        "13      Jeff  2008-03-27 13:00:00  \n",
        "14      Ryan  2008-03-27 16:00:00  \n",
        "15      Jeff  2008-03-31 11:00:00  \n",
        "16      Jeff  2008-04-01 14:00:00  \n",
        "17      Ryan  2008-04-03 18:00:00  \n",
        "18      Ryan  2008-04-07 18:00:00  \n",
        "19      Jeff  2008-04-21 13:00:00  \n",
        "20      Jeff  2008-05-21 14:00:00  \n",
        "21      Jeff  2008-04-25 15:00:00  \n",
        "22      Jeff  2008-04-28 10:00:00  \n",
        "23      Ryan  2008-05-05 16:00:00  \n",
        "24      Jeff  2008-05-05 16:00:00  \n",
        "25      Ryan  2008-05-07 16:00:00  \n",
        "26      Jeff  2008-05-07 17:00:00  \n",
        "27      Jeff  2008-05-12 18:00:00  \n",
        "28      Ryan  2008-05-18 15:00:00  \n",
        "29      Ryan  2008-05-22 18:00:00  \n",
        "..       ...                  ...  \n",
        "620  Patrick  2014-05-21 11:06:00  \n",
        "621     Alex  2014-05-21 13:40:00  \n",
        "622     Jeff  2014-05-27 00:01:00  \n",
        "623  Patrick  2014-06-26 17:58:00  \n",
        "624     Alex  2014-07-02 13:30:00  \n",
        "625     Jeff  2014-08-18 13:58:00  \n",
        "626  Patrick  2014-08-21 16:31:00  \n",
        "627     Alex  2014-08-27 10:55:00  \n",
        "628     Alex  2014-09-11 11:31:00  \n",
        "629     Jeff  2014-09-12 11:29:00  \n",
        "630      Dan  2014-09-18 11:00:00  \n",
        "631      Dan  2014-09-26 14:56:00  \n",
        "632  Patrick  2014-10-01 10:00:00  \n",
        "633     Brad  2014-09-30 15:00:00  \n",
        "634     Alex  2014-09-30 14:25:00  \n",
        "635     Jeff  2014-10-01 18:05:00  \n",
        "636  Patrick  2014-10-06 17:04:00  \n",
        "637     Jeff  2014-10-07 18:22:00  \n",
        "638      Dan  2014-10-13 20:22:00  \n",
        "639     Alex  2014-10-29 10:50:00  \n",
        "640  Patrick  2014-10-29 12:04:00  \n",
        "641     Brad  2014-10-31 14:45:00  \n",
        "642     Jeff  2014-11-03 00:00:00  \n",
        "643     Alex  2014-11-05 09:14:00  \n",
        "644     Alex  2014-11-05 09:33:00  \n",
        "645     Alex  2014-11-13 12:13:00  \n",
        "646  Matthew  2014-11-18 14:02:00  \n",
        "647     Jeff  2014-11-18 15:17:00  \n",
        "648     Alex  2014-11-20 08:30:00  \n",
        "649      Dan  2014-11-21 13:40:00  \n",
        "\n",
        "[650 rows x 4 columns]"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Histogram distribution of Giant Bomb Scores\n",
      "\n",
      "plt.figure(figsize=(8,6))\n",
      "n, bins, patches = plt.hist(g_score, 15)\n",
      "plt.title(\" Distribution of Giant Bomb Game Scores\")\n",
      "plt.xlabel(\"Score\")\n",
      "plt.ylabel(\"Numbers of Occurences\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "<matplotlib.text.Text at 0xc6e3e10>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAfgAAAGJCAYAAABmViEbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkiRJkqSI/j/VLskPSr95/QAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0xc7b6860>"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# number of scores which are 4 or 5 vs. number which are 1, 2, or 3\n",
      "ngood = np.sum(np.array(g_score) > 3)\n",
      "nbad = np.sum(np.array(g_score) <= 3)\n",
      "print ngood, nbad"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "361 284\n"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Reviewer Score Distribution"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# list of reviewers\n",
      "set(g_reviewer)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "{u'Alex',\n",
        " u'Andy',\n",
        " u'Brad',\n",
        " u'Dan',\n",
        " u'Dave',\n",
        " u'Drew',\n",
        " u'Jeff',\n",
        " u'Matt',\n",
        " u'Patrick',\n",
        " u'Ryan',\n",
        " u'Vinny'}"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "## reviewer data frames\n",
      "Alex_frame = game_frame[game_frame['Reviewer'] == 'Alex']\n",
      "Andy_frame = game_frame[game_frame['Reviewer'] == 'Andy']\n",
      "Brad_frame = game_frame[game_frame['Reviewer'] == 'Brad']\n",
      "Dan_frame = game_frame[game_frame['Reviewer'] == 'Dan']\n",
      "Dave_frame = game_frame[game_frame['Reviewer'] == 'Dave']\n",
      "Drew_frame = game_frame[game_frame['Reviewer'] == 'Drew']\n",
      "Jeff_frame = game_frame[game_frame['Reviewer'] == 'Jeff']\n",
      "Matt_frame = game_frame[game_frame['Reviewer'] == 'Matt']\n",
      "Patrick_frame = game_frame[game_frame['Reviewer'] == 'Patrick']\n",
      "Ryan_frame = game_frame[game_frame['Reviewer'] == 'Ryan']\n",
      "Vinny_frame = game_frame[game_frame['Reviewer'] == 'Vinny']\n",
      "\n",
      "# dictionary of reviewers\n",
      "rvwrs = {'Alex': Alex_frame,\n",
      "               'Andy': Andy_frame,\n",
      "               'Brad': Brad_frame,\n",
      "               'Dan': Dan_frame,\n",
      "               'Dave': Dave_frame,\n",
      "               'Drew': Drew_frame,\n",
      "               'Jeff': Jeff_frame,\n",
      "               'Matt': Matt_frame,\n",
      "               'Patrick': Patrick_frame,\n",
      "               'Ryan': Ryan_frame,\n",
      "               'Vinny': Vinny_frame}\n",
      "\n",
      "# number of reviews for each reviewer\n",
      "for name in set(g_reviewer):\n",
      "    print name +': ',len(rvwrs[name])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Matt:  7\n",
        "Alex:  104\n",
        "Jeff:  250\n",
        "Patrick:  24\n",
        "Dan:  3\n",
        "Ryan:  107\n",
        "Dave:  9\n",
        "Andy:  1\n",
        "Vinny:  9\n",
        "Brad:  129\n",
        "Drew:  2\n"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "## score distributions of the top reviewers\n",
      "\n",
      "Rvw_list = ['Brad', 'Jeff', 'Alex', 'Ryan']\n",
      "\n",
      "for reviewer in Rvw_list:\n",
      "    \n",
      "    g_score = list(rvwrs[reviewer]['Giant Bomb Score'])\n",
      "    \n",
      "    plt.figure(figsize=(8,6))\n",
      "    \n",
      "    n, bins, patches = plt.hist(g_score, 15)\n",
      "    \n",
      "    plt.title(reviewer+\": Distribution of Giant Bomb Game Scores\")\n",
      "    \n",
      "    plt.xlabel(\"Score\")\n",
      "    \n",
      "    plt.ylabel(\"Numbers of Occurences\")\n",
      "    \n",
      "    plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAfIAAAGJCAYAAABxdLHSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n3/4/CTx5xCvhFvgAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1591af60>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAfgAAAGJCAYAAABmViEbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrA/Doh0WAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x15e76a90>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAfIAAAGJCAYAAABxdLHSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJEmSJEmSJEmSJEmStLD9L9nV2Y5s1OPxAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x15d465c0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAfIAAAGJCAYAAABxdLHSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n3f4/Ew+Ng474pNYAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x15b74d30>"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Which types of games are the most popular?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Do the same companies consistently produce high scoring games?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First thing we need to note is the difference between video game developers and video game publishers. The difference is akin to the difference between the writers for a magazine and the magazine itself. The magazine can publish work done by its in house staff, but it can also publish work done by free lance writers. Similarly, a company which is listed as a publisher acts as a publishing house for games that it may develop and games outside developers create. Quite simply, developers work to make the game and publishers handle the marketing and distribution for certain games. As to be expected, there are many more developers than there are publishers. \n",
      "\n",
      "As an example of the difference, the popular 2013 PS3 game The Last of Us was developed by Naughty Dog studio and was published by Sony Computer Entertainment.  \n",
      "\n",
      "(slightly impartial) reference: http://www.alteredgamer.com/pc-gaming/49397-what-is-the-difference-between-developers-and-publishers/"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### What is the distribution of user score reviews?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First let's find out how many user reviews are on the giant bomb site. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# API for Giant Bomb USER Reviews\n",
      "offset = 0 \n",
      "url_usrreviews = 'http://www.giantbomb.com/api/user_reviews/?api_key=' + key + '&format=json&offset=' + str(offset)\n",
      "# response format for API\n",
      "resp_usrreview = requests.get(url_usrreviews)\n",
      "# loads text of response into json format\n",
      "usrreview_info = json.loads(resp_usrreview.text)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# number of results for single page\n",
      "print 'Total number of user API results: ',usrreview_info['number_of_total_results']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Total number of user API results:  26379\n"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "So we apparently have about 26,000 user reviews. However, some of these API calls produce empty results. For example, when we look at the 25,000th page we find no user review information. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "offset = 25000\n",
      "url_usrreviews = 'http://www.giantbomb.com/api/user_reviews/?api_key=' + key + '&format=json&offset=' + str(offset)\n",
      "resp_usrreview = requests.get(url_usrreviews)\n",
      "usrreview_info = json.loads(resp_usrreview.text)\n",
      "usr_rvs = usrreview_info['results']\n",
      "\n",
      "usr_rvs"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "[]"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We will create a data frame which includes the name of the game, the score given to it by the user, the screen name of the user, and the date the review was provided. The empty API calls will automatically be excluded from the frame. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "## creates a list of all games reviewers have reviewed with the score for the game, the date added, and the name of the reviewer. \n",
      "\n",
      "usr_g_names = list()\n",
      "usr_g_score = list()\n",
      "usr_g_reviewer = list()\n",
      "usr_g_rv_date = list()\n",
      "\n",
      "for offset in np.array(range(260))*100:\n",
      "    url_usrreviews = 'http://www.giantbomb.com/api/user_reviews/?api_key=' + key + '&format=json&offset=' + str(offset)\n",
      "\n",
      "    # response format for API\n",
      "    resp_usrreview = requests.get(url_usrreviews)\n",
      "\n",
      "    # loads text of response into json format\n",
      "    usrreview_info = json.loads(resp_usrreview.text)\n",
      "\n",
      "    # redefine list\n",
      "    usr_rvs = usrreview_info['results']\n",
      "\n",
      "    for k in range(len(usr_rvs)):\n",
      "        elem = usr_rvs[k]\n",
      "        usr_g_score.append(elem['score'])\n",
      "        usr_g_names.append(elem['wikiObject'])\n",
      "        usr_g_reviewer.append(elem['reviewer'])\n",
      "        usr_g_rv_date.append(elem['date_added'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "usr_rv_dict = {'Name': usr_g_names, 'User Review Score': usr_g_score, 'User Reviewer': usr_g_reviewer, 'Date of Review':usr_g_rv_date }\n",
      "\n",
      "from pandas import DataFrame\n",
      "\n",
      "usr_rv_frame = DataFrame(usr_rv_dict, columns = ['Name', 'User Review Score', 'User Reviewer', 'Date of Review'])\n",
      "\n",
      "# Defined as of November 18, 2014\n",
      "usr_rv_frame"
     ],
     "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>Name</th>\n",
        "      <th>User Review Score</th>\n",
        "      <th>User Reviewer</th>\n",
        "      <th>Date of Review</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0    </th>\n",
        "      <td>                             Famicom Mini: Pac-Man</td>\n",
        "      <td> 5</td>\n",
        "      <td>            snide</td>\n",
        "      <td> 2008-07-14 21:49:21</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1    </th>\n",
        "      <td>             Icewind Dale II (Collector's Edition)</td>\n",
        "      <td> 5</td>\n",
        "      <td>            snide</td>\n",
        "      <td> 2008-07-20 01:09:02</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2    </th>\n",
        "      <td>                                  Gauntlet Legends</td>\n",
        "      <td> 4</td>\n",
        "      <td>         joseppie</td>\n",
        "      <td> 2008-07-21 00:34:06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3    </th>\n",
        "      <td>                                 MVP Baseball 2005</td>\n",
        "      <td> 5</td>\n",
        "      <td>         joseppie</td>\n",
        "      <td> 2008-07-21 00:36:10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4    </th>\n",
        "      <td>                       Need for Speed: Most Wanted</td>\n",
        "      <td> 4</td>\n",
        "      <td>         joseppie</td>\n",
        "      <td> 2008-07-21 00:44:42</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5    </th>\n",
        "      <td>                               Grand Theft Auto IV</td>\n",
        "      <td> 5</td>\n",
        "      <td>           toriko</td>\n",
        "      <td> 2008-07-21 00:49:38</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6    </th>\n",
        "      <td> Metal Gear Solid 4: Guns of the Patriots (Limi...</td>\n",
        "      <td> 5</td>\n",
        "      <td>     star_wars117</td>\n",
        "      <td> 2008-07-21 00:51:31</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7    </th>\n",
        "      <td> Metal Gear Solid 4: Guns of the Patriots (Limi...</td>\n",
        "      <td> 4</td>\n",
        "      <td>  microwavedapple</td>\n",
        "      <td> 2008-07-21 00:53:41</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8    </th>\n",
        "      <td>        Gears of War (Limited Collector's Edition)</td>\n",
        "      <td> 5</td>\n",
        "      <td>     star_wars117</td>\n",
        "      <td> 2008-07-21 00:54:52</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9    </th>\n",
        "      <td>                                    Mario Kart Wii</td>\n",
        "      <td> 4</td>\n",
        "      <td>       cann3dheat</td>\n",
        "      <td> 2008-07-21 00:56:51</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10   </th>\n",
        "      <td>                    Deadliest Catch: Alaskan Storm</td>\n",
        "      <td> 3</td>\n",
        "      <td>             artg</td>\n",
        "      <td> 2008-07-21 00:57:03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11   </th>\n",
        "      <td>                  Battlefield 2142: Deluxe Edition</td>\n",
        "      <td> 3</td>\n",
        "      <td>     star_wars117</td>\n",
        "      <td> 2008-07-21 00:57:04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12   </th>\n",
        "      <td>                Tsumi to Batsu: Hoshi no Keish\u014dsha</td>\n",
        "      <td> 4</td>\n",
        "      <td>         pepsiman</td>\n",
        "      <td> 2008-07-21 00:57:06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13   </th>\n",
        "      <td>                                        Vib-Ribbon</td>\n",
        "      <td> 4</td>\n",
        "      <td>         pepsiman</td>\n",
        "      <td> 2008-07-21 00:58:45</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14   </th>\n",
        "      <td> Metal Gear Solid 4: Guns of the Patriots (Limi...</td>\n",
        "      <td> 5</td>\n",
        "      <td>             artg</td>\n",
        "      <td> 2008-07-21 00:58:54</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15   </th>\n",
        "      <td>                                        Sneak King</td>\n",
        "      <td> 3</td>\n",
        "      <td>     star_wars117</td>\n",
        "      <td> 2008-07-21 01:00:09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16   </th>\n",
        "      <td>                                             \u014ckami</td>\n",
        "      <td> 5</td>\n",
        "      <td>         pepsiman</td>\n",
        "      <td> 2008-07-21 01:00:14</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17   </th>\n",
        "      <td>                          Battlefield: Bad Company</td>\n",
        "      <td> 5</td>\n",
        "      <td>            chase</td>\n",
        "      <td> 2008-07-21 01:00:17</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18   </th>\n",
        "      <td>            Grand Theft Auto: Liberty City Stories</td>\n",
        "      <td> 1</td>\n",
        "      <td>     star_wars117</td>\n",
        "      <td> 2008-07-21 01:01:24</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19   </th>\n",
        "      <td>                                         Red Steel</td>\n",
        "      <td> 3</td>\n",
        "      <td>     star_wars117</td>\n",
        "      <td> 2008-07-21 01:03:38</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20   </th>\n",
        "      <td>                                        Just Cause</td>\n",
        "      <td> 4</td>\n",
        "      <td>         indieboy</td>\n",
        "      <td> 2008-07-21 01:06:05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21   </th>\n",
        "      <td> Metal Gear Solid 4: Guns of the Patriots (Limi...</td>\n",
        "      <td> 5</td>\n",
        "      <td>          rearmed</td>\n",
        "      <td> 2008-07-21 01:06:50</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>22   </th>\n",
        "      <td>                                               ICO</td>\n",
        "      <td> 5</td>\n",
        "      <td>         pepsiman</td>\n",
        "      <td> 2008-07-21 01:08:03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>23   </th>\n",
        "      <td>               Starship Troopers (Special Edition)</td>\n",
        "      <td> 1</td>\n",
        "      <td>     star_wars117</td>\n",
        "      <td> 2008-07-21 01:08:15</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24   </th>\n",
        "      <td>                      Geometry Wars: Retro Evolved</td>\n",
        "      <td> 4</td>\n",
        "      <td>     powicewobots</td>\n",
        "      <td> 2008-07-21 01:08:31</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25   </th>\n",
        "      <td>                    Dark Messiah of Might &amp; Magic </td>\n",
        "      <td> 4</td>\n",
        "      <td>     star_wars117</td>\n",
        "      <td> 2008-07-21 01:09:03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26   </th>\n",
        "      <td>                           Civilization Revolution</td>\n",
        "      <td> 4</td>\n",
        "      <td>             artg</td>\n",
        "      <td> 2008-07-21 01:09:04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>27   </th>\n",
        "      <td>                             Unreal Tournament III</td>\n",
        "      <td> 4</td>\n",
        "      <td>   senior_waffles</td>\n",
        "      <td> 2008-07-21 01:09:32</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>28   </th>\n",
        "      <td>                                         Actraiser</td>\n",
        "      <td> 4</td>\n",
        "      <td>           ruukie</td>\n",
        "      <td> 2008-07-21 01:12:06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>29   </th>\n",
        "      <td>                               Grand Theft Auto IV</td>\n",
        "      <td> 5</td>\n",
        "      <td>      thatguy0130</td>\n",
        "      <td> 2008-07-21 01:13:56</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24825</th>\n",
        "      <td>                   Tomb Raider: Definitive Edition</td>\n",
        "      <td> 5</td>\n",
        "      <td>          castiel</td>\n",
        "      <td> 2014-11-17 13:27:56</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24826</th>\n",
        "      <td>                                       Angry Birds</td>\n",
        "      <td> 2</td>\n",
        "      <td>      spainstaion</td>\n",
        "      <td> 2014-11-17 15:16:53</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24827</th>\n",
        "      <td>                                           Ingress</td>\n",
        "      <td> 4</td>\n",
        "      <td>      djwoodgrain</td>\n",
        "      <td> 2014-11-17 22:54:46</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24828</th>\n",
        "      <td>                               Antichamber (Steam)</td>\n",
        "      <td> 4</td>\n",
        "      <td>          fenster</td>\n",
        "      <td> 2014-11-17 23:20:41</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24829</th>\n",
        "      <td>                        Wolfenstein: The New Order</td>\n",
        "      <td> 5</td>\n",
        "      <td>            mento</td>\n",
        "      <td> 2014-11-18 09:14:20</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24830</th>\n",
        "      <td>                           Assassin's Creed: Rogue</td>\n",
        "      <td> 2</td>\n",
        "      <td>        aztecomar</td>\n",
        "      <td> 2014-11-18 20:58:38</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24831</th>\n",
        "      <td>                                Serious Sam 3: BFE</td>\n",
        "      <td> 3</td>\n",
        "      <td>        clive_far</td>\n",
        "      <td> 2014-11-18 22:03:20</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24832</th>\n",
        "      <td>                           The King of Fighters XI</td>\n",
        "      <td> 4</td>\n",
        "      <td>     reverendhunt</td>\n",
        "      <td> 2014-11-19 04:55:25</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24833</th>\n",
        "      <td>                        Street Fighter Alpha 3 MAX</td>\n",
        "      <td> 4</td>\n",
        "      <td>     reverendhunt</td>\n",
        "      <td> 2014-11-19 04:59:50</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24834</th>\n",
        "      <td>          Tatsunoko vs. Capcom: Ultimate All Stars</td>\n",
        "      <td> 4</td>\n",
        "      <td>     reverendhunt</td>\n",
        "      <td> 2014-11-19 05:02:22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24835</th>\n",
        "      <td>                                     The Outfoxies</td>\n",
        "      <td> 4</td>\n",
        "      <td>     reverendhunt</td>\n",
        "      <td> 2014-11-19 05:05:41</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24836</th>\n",
        "      <td>                               Godzilla: Unleashed</td>\n",
        "      <td> 3</td>\n",
        "      <td>     reverendhunt</td>\n",
        "      <td> 2014-11-19 05:08:55</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24837</th>\n",
        "      <td>               Naruto: Clash of Ninja Revolution 2</td>\n",
        "      <td> 3</td>\n",
        "      <td>     reverendhunt</td>\n",
        "      <td> 2014-11-19 05:11:14</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24838</th>\n",
        "      <td>                     Mortal Kombat vs. DC Universe</td>\n",
        "      <td> 3</td>\n",
        "      <td>     reverendhunt</td>\n",
        "      <td> 2014-11-19 05:18:34</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24839</th>\n",
        "      <td>                                          Tekken 6</td>\n",
        "      <td> 2</td>\n",
        "      <td>     reverendhunt</td>\n",
        "      <td> 2014-11-19 05:23:05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24840</th>\n",
        "      <td>          Hokuto No Ken: Raoh Gaiden - Ten No Haoh</td>\n",
        "      <td> 2</td>\n",
        "      <td>     reverendhunt</td>\n",
        "      <td> 2014-11-19 05:27:28</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24841</th>\n",
        "      <td>                           Assassin's Creed: Rogue</td>\n",
        "      <td> 3</td>\n",
        "      <td>       poobumbutt</td>\n",
        "      <td> 2014-11-19 16:36:26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24842</th>\n",
        "      <td>                                      Advance Wars</td>\n",
        "      <td> 5</td>\n",
        "      <td>           niko23</td>\n",
        "      <td> 2014-11-19 20:13:23</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24843</th>\n",
        "      <td>                                        Golden Sun</td>\n",
        "      <td> 5</td>\n",
        "      <td>           niko23</td>\n",
        "      <td> 2014-11-19 20:22:50</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24844</th>\n",
        "      <td>                                           Only If</td>\n",
        "      <td> 2</td>\n",
        "      <td>        gamer_152</td>\n",
        "      <td> 2014-11-20 16:34:30</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24845</th>\n",
        "      <td>                   The Last Tinker: City of Colors</td>\n",
        "      <td> 2</td>\n",
        "      <td>      theosgvault</td>\n",
        "      <td> 2014-11-20 19:47:25</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24846</th>\n",
        "      <td>                The Legend of Zelda: Spirit Tracks</td>\n",
        "      <td> 1</td>\n",
        "      <td> adriangabbyeliot</td>\n",
        "      <td> 2014-11-21 12:59:54</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24847</th>\n",
        "      <td>                       Super Smash Bros. for Wii U</td>\n",
        "      <td> 5</td>\n",
        "      <td>          jaypb08</td>\n",
        "      <td> 2014-11-21 21:53:51</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24848</th>\n",
        "      <td>                       Senran Kagura: Bon App\u00e9tit!</td>\n",
        "      <td> 2</td>\n",
        "      <td>    megabite10164</td>\n",
        "      <td> 2014-11-22 17:07:59</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24849</th>\n",
        "      <td>                    Middle-earth: Shadow of Mordor</td>\n",
        "      <td> 4</td>\n",
        "      <td>     apollodynamo</td>\n",
        "      <td> 2014-11-23 01:58:40</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24850</th>\n",
        "      <td>                            Murdered: Soul Suspect</td>\n",
        "      <td> 3</td>\n",
        "      <td>            mento</td>\n",
        "      <td> 2014-11-23 09:00:54</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24851</th>\n",
        "      <td>                Sunset Overdrive (Day One Edition)</td>\n",
        "      <td> 4</td>\n",
        "      <td>     theacidskull</td>\n",
        "      <td> 2014-11-23 20:11:53</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24852</th>\n",
        "      <td>           Mighty Morphin Power Rangers: The Movie</td>\n",
        "      <td> 3</td>\n",
        "      <td>         hunterob</td>\n",
        "      <td> 2014-11-23 21:37:36</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24853</th>\n",
        "      <td>                          This War of Mine (Steam)</td>\n",
        "      <td> 4</td>\n",
        "      <td>       syndrifter</td>\n",
        "      <td> 2014-11-23 23:00:12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24854</th>\n",
        "      <td>                           Assassin's Creed: Unity</td>\n",
        "      <td> 2</td>\n",
        "      <td>     321smilepaul</td>\n",
        "      <td> 2014-11-24 08:22:55</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>24855 rows \u00d7 4 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "                                                    Name  User Review Score  \\\n",
        "0                                  Famicom Mini: Pac-Man                  5   \n",
        "1                  Icewind Dale II (Collector's Edition)                  5   \n",
        "2                                       Gauntlet Legends                  4   \n",
        "3                                      MVP Baseball 2005                  5   \n",
        "4                            Need for Speed: Most Wanted                  4   \n",
        "5                                    Grand Theft Auto IV                  5   \n",
        "6      Metal Gear Solid 4: Guns of the Patriots (Limi...                  5   \n",
        "7      Metal Gear Solid 4: Guns of the Patriots (Limi...                  4   \n",
        "8             Gears of War (Limited Collector's Edition)                  5   \n",
        "9                                         Mario Kart Wii                  4   \n",
        "10                        Deadliest Catch: Alaskan Storm                  3   \n",
        "11                      Battlefield 2142: Deluxe Edition                  3   \n",
        "12                    Tsumi to Batsu: Hoshi no Keish\u014dsha                  4   \n",
        "13                                            Vib-Ribbon                  4   \n",
        "14     Metal Gear Solid 4: Guns of the Patriots (Limi...                  5   \n",
        "15                                            Sneak King                  3   \n",
        "16                                                 \u014ckami                  5   \n",
        "17                              Battlefield: Bad Company                  5   \n",
        "18                Grand Theft Auto: Liberty City Stories                  1   \n",
        "19                                             Red Steel                  3   \n",
        "20                                            Just Cause                  4   \n",
        "21     Metal Gear Solid 4: Guns of the Patriots (Limi...                  5   \n",
        "22                                                   ICO                  5   \n",
        "23                   Starship Troopers (Special Edition)                  1   \n",
        "24                          Geometry Wars: Retro Evolved                  4   \n",
        "25                        Dark Messiah of Might & Magic                   4   \n",
        "26                               Civilization Revolution                  4   \n",
        "27                                 Unreal Tournament III                  4   \n",
        "28                                             Actraiser                  4   \n",
        "29                                   Grand Theft Auto IV                  5   \n",
        "...                                                  ...                ...   \n",
        "24825                    Tomb Raider: Definitive Edition                  5   \n",
        "24826                                        Angry Birds                  2   \n",
        "24827                                            Ingress                  4   \n",
        "24828                                Antichamber (Steam)                  4   \n",
        "24829                         Wolfenstein: The New Order                  5   \n",
        "24830                            Assassin's Creed: Rogue                  2   \n",
        "24831                                 Serious Sam 3: BFE                  3   \n",
        "24832                            The King of Fighters XI                  4   \n",
        "24833                         Street Fighter Alpha 3 MAX                  4   \n",
        "24834           Tatsunoko vs. Capcom: Ultimate All Stars                  4   \n",
        "24835                                      The Outfoxies                  4   \n",
        "24836                                Godzilla: Unleashed                  3   \n",
        "24837                Naruto: Clash of Ninja Revolution 2                  3   \n",
        "24838                      Mortal Kombat vs. DC Universe                  3   \n",
        "24839                                           Tekken 6                  2   \n",
        "24840           Hokuto No Ken: Raoh Gaiden - Ten No Haoh                  2   \n",
        "24841                            Assassin's Creed: Rogue                  3   \n",
        "24842                                       Advance Wars                  5   \n",
        "24843                                         Golden Sun                  5   \n",
        "24844                                            Only If                  2   \n",
        "24845                    The Last Tinker: City of Colors                  2   \n",
        "24846                 The Legend of Zelda: Spirit Tracks                  1   \n",
        "24847                        Super Smash Bros. for Wii U                  5   \n",
        "24848                        Senran Kagura: Bon App\u00e9tit!                  2   \n",
        "24849                     Middle-earth: Shadow of Mordor                  4   \n",
        "24850                             Murdered: Soul Suspect                  3   \n",
        "24851                 Sunset Overdrive (Day One Edition)                  4   \n",
        "24852            Mighty Morphin Power Rangers: The Movie                  3   \n",
        "24853                           This War of Mine (Steam)                  4   \n",
        "24854                            Assassin's Creed: Unity                  2   \n",
        "\n",
        "          User Reviewer       Date of Review  \n",
        "0                 snide  2008-07-14 21:49:21  \n",
        "1                 snide  2008-07-20 01:09:02  \n",
        "2              joseppie  2008-07-21 00:34:06  \n",
        "3              joseppie  2008-07-21 00:36:10  \n",
        "4              joseppie  2008-07-21 00:44:42  \n",
        "5                toriko  2008-07-21 00:49:38  \n",
        "6          star_wars117  2008-07-21 00:51:31  \n",
        "7       microwavedapple  2008-07-21 00:53:41  \n",
        "8          star_wars117  2008-07-21 00:54:52  \n",
        "9            cann3dheat  2008-07-21 00:56:51  \n",
        "10                 artg  2008-07-21 00:57:03  \n",
        "11         star_wars117  2008-07-21 00:57:04  \n",
        "12             pepsiman  2008-07-21 00:57:06  \n",
        "13             pepsiman  2008-07-21 00:58:45  \n",
        "14                 artg  2008-07-21 00:58:54  \n",
        "15         star_wars117  2008-07-21 01:00:09  \n",
        "16             pepsiman  2008-07-21 01:00:14  \n",
        "17                chase  2008-07-21 01:00:17  \n",
        "18         star_wars117  2008-07-21 01:01:24  \n",
        "19         star_wars117  2008-07-21 01:03:38  \n",
        "20             indieboy  2008-07-21 01:06:05  \n",
        "21              rearmed  2008-07-21 01:06:50  \n",
        "22             pepsiman  2008-07-21 01:08:03  \n",
        "23         star_wars117  2008-07-21 01:08:15  \n",
        "24         powicewobots  2008-07-21 01:08:31  \n",
        "25         star_wars117  2008-07-21 01:09:03  \n",
        "26                 artg  2008-07-21 01:09:04  \n",
        "27       senior_waffles  2008-07-21 01:09:32  \n",
        "28               ruukie  2008-07-21 01:12:06  \n",
        "29          thatguy0130  2008-07-21 01:13:56  \n",
        "...                 ...                  ...  \n",
        "24825           castiel  2014-11-17 13:27:56  \n",
        "24826       spainstaion  2014-11-17 15:16:53  \n",
        "24827       djwoodgrain  2014-11-17 22:54:46  \n",
        "24828           fenster  2014-11-17 23:20:41  \n",
        "24829             mento  2014-11-18 09:14:20  \n",
        "24830         aztecomar  2014-11-18 20:58:38  \n",
        "24831         clive_far  2014-11-18 22:03:20  \n",
        "24832      reverendhunt  2014-11-19 04:55:25  \n",
        "24833      reverendhunt  2014-11-19 04:59:50  \n",
        "24834      reverendhunt  2014-11-19 05:02:22  \n",
        "24835      reverendhunt  2014-11-19 05:05:41  \n",
        "24836      reverendhunt  2014-11-19 05:08:55  \n",
        "24837      reverendhunt  2014-11-19 05:11:14  \n",
        "24838      reverendhunt  2014-11-19 05:18:34  \n",
        "24839      reverendhunt  2014-11-19 05:23:05  \n",
        "24840      reverendhunt  2014-11-19 05:27:28  \n",
        "24841        poobumbutt  2014-11-19 16:36:26  \n",
        "24842            niko23  2014-11-19 20:13:23  \n",
        "24843            niko23  2014-11-19 20:22:50  \n",
        "24844         gamer_152  2014-11-20 16:34:30  \n",
        "24845       theosgvault  2014-11-20 19:47:25  \n",
        "24846  adriangabbyeliot  2014-11-21 12:59:54  \n",
        "24847           jaypb08  2014-11-21 21:53:51  \n",
        "24848     megabite10164  2014-11-22 17:07:59  \n",
        "24849      apollodynamo  2014-11-23 01:58:40  \n",
        "24850             mento  2014-11-23 09:00:54  \n",
        "24851      theacidskull  2014-11-23 20:11:53  \n",
        "24852          hunterob  2014-11-23 21:37:36  \n",
        "24853        syndrifter  2014-11-23 23:00:12  \n",
        "24854      321smilepaul  2014-11-24 08:22:55  \n",
        "\n",
        "[24855 rows x 4 columns]"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can now answer the question: What is the distribution of giant bomb user review scores?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Histogram distribution of Giant Bomb User Review Scores\n",
      "\n",
      "plt.figure(figsize=(8,6))\n",
      "n, bins, patches = plt.hist(usr_g_score, 15)\n",
      "plt.title(\" Distribution of Giant Bomb User Review Scores\")\n",
      "plt.xlabel(\"Score\")\n",
      "plt.ylabel(\"Numbers of Occurences\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "<matplotlib.text.Text at 0x15efba20>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAhAAAAGVCAYAAACvlch/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkiRJkiRJkiRJktry/wHgf5Ur92awqwAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0xc309128>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We first note that unlike the Giant Bomb staff review scores, a user review score can in a sense be '0'. We say in a sense because the Giant Bomb API associates a score of 0 to user reviews which don't include a specific score. See the two reviews in http://www.giantbomb.com/jumper-griffins-story/3030-20797/user-reviews/ for example. \n",
      "\n",
      "More relevantnly, we see that similar to the Giant Bomb staff review scores, the distribution of user review scores has a mode centered well above the mid point of the range. In fact the user review scores have a mode of 5 in comaprison to the critic mode of 4. There is one important distinction between the two distributions, however: there was only a single critic review per game. This is not the case for the user reviews. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'Total Number of User Game Reviews: ', len(usr_g_names)\n",
      "print 'Total Number of Unique User Game Reviews: ', len(set(usr_g_names))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Total Number of User Game Reviews:  24830\n",
        "Total Number of Unique User Game Reviews:  4955\n"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "So there are about 25000 user game reviews, but only about 5000 reviews unique to a game.\n",
      "\n",
      "Given that the more popular (i.e. highly rated) games will most likely have more user reviews, it makes sense that the mode of the total distribution of user reviews is at 5. So, a more informative plot would perhaps be the distribution of user scores uniquely associated with a particular game. To find the score associated with a particular game we will simply average all the user scores for that game and round to the nearest integer. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "## Data frame of average user review score per game\n",
      "\n",
      "#This averaging washes away the time and reviewer name data from the previous frame\n",
      "\n",
      "unique_rvs = usr_rv_frame.groupby('Name',as_index = False)['Name', 'User Review Score'].mean()\n",
      "unique_rvs.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>Name</th>\n",
        "      <th>User Review Score</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>  .hack//QUARANTINE - Part 4</td>\n",
        "      <td> 3.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>       007: Agent Under Fire</td>\n",
        "      <td> 4.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>  007: Everything or Nothing</td>\n",
        "      <td> 4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>              007: Nightfire</td>\n",
        "      <td> 2.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>        Adventures of Lolo 2</td>\n",
        "      <td> 5.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 33,
       "text": [
        "                          Name  User Review Score\n",
        "0   .hack//QUARANTINE - Part 4                3.0\n",
        "1        007: Agent Under Fire                4.5\n",
        "2   007: Everything or Nothing                4.0\n",
        "3               007: Nightfire                2.8\n",
        "4         Adventures of Lolo 2                5.0"
       ]
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# rounds the scores in the above fame to their nearest integer values\n",
      "discrete_score = list()\n",
      "for elem in list(unique_rvs['User Review Score']):\n",
      "    discrete_score.append(round(elem))\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Histogram distribution of average user review scores for each game (rounded)\n",
      "\n",
      "plt.figure(figsize=(8,6))\n",
      "n, bins, patches = plt.hist(discrete_score, 15)\n",
      "plt.title(\" Distribution of User Review Scores-rounded avg per game\", y =1.1)\n",
      "plt.xlabel(\"Score\")\n",
      "plt.ylabel(\"Numbers of Occurences\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "<matplotlib.text.Text at 0x16483b38>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAhsAAAG2CAYAAADWTUQQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x16460320>"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "i = 0\n",
      "for elem in discrete_score:\n",
      "    if elem == 0:\n",
      "        i = i+1\n",
      "i "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "9"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Plot of Giant Bomb Review Over Time"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import datetime as dt # module for manipulating dates and times\n",
      "\n",
      "game_frame['Date of Review'] = pd.to_datetime(game_frame['Date of Review'])\n",
      "\n",
      "# extracts year and month from review\n",
      "game_frame['year'] = map(lambda x: x.year, game_frame['Date of Review'])\n",
      "game_frame['month'] = map(lambda x: x.month, game_frame['Date of Review'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Plotting a boxplot of the average per year gives us the following uniformative result:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "game_frame.boxplot('Giant Bomb Score', by = 'year', rot = 90)\n",
      "plt.ylabel('Giant Bomb Score')\n",
      "plt.ylim(0,6)\n",
      "plt.show"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "<function matplotlib.pyplot.show>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAmwAAAGtCAYAAACrySipAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0xc73e160>"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "It turns out that it is better to plot the distribution of the monthly average of the reviews per year. This average is perhaps not too informative because the width of the plots vary according to the number of reviews within a select year. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# compute the average of reviews for each month of a year\n",
      "avg_game_frame = game_frame.groupby(['year','month'], \n",
      "                                     as_index = False)['Giant Bomb Score', 'year', 'month'].mean()\n",
      "\n",
      "# plot the distribution of these averages by year\n",
      "avg_game_frame.boxplot('Giant Bomb Score', by = 'year', rot = 90)\n",
      "plt.ylabel('Giant Bomb Score')\n",
      "plt.ylim(0,6)\n",
      "plt.show"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "<function matplotlib.pyplot.show>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAmwAAAGtCAYAAACrySipAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x16cd9ba8>"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Some questions\n",
      "\n",
      "The above is the distribution of the monthly average for each year of reviews. \n",
      "\n",
      "Why is this spread so different from the spread for the entire data set. Here we took a distribution of averages for the months in a year and there we simply took the entire data set for the year. \n",
      "- Why is the width of the distribution of averages so much smaller than the width of the distribution of all the data points. \n",
      "- Why are we able to observe variations in the median of the distribution in the case of averaging within a month, but we are unable to do so when we look at the total year? \n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Plot of User Reviews Over Time"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We repeat the previous analysis except with user reviews. We want to see if there are any changes in the distribution of reviews. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "usr_rv_frame['Date of Review'] = pd.to_datetime(usr_rv_frame['Date of Review'])\n",
      "\n",
      "usr_rv_frame['year'] = map(lambda x: x.year, usr_rv_frame['Date of Review'])\n",
      "usr_rv_frame['month'] = map(lambda x: x.month, usr_rv_frame['Date of Review'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# to eliminate review entry from 1999\n",
      "usr_rv_frame= usr_rv_frame[usr_rv_frame['year']>=2008].copy(deep=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "avg_usr_rv_frame = usr_rv_frame.groupby(['year','month'], \n",
      "                                     as_index = False)['User Review Score', 'year', 'month'].mean()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "avg_usr_rv_frame.boxplot('User Review Score', by = 'year', rot = 90)\n",
      "plt.ylabel('User Review Score')\n",
      "plt.ylim(3,4.5)\n",
      "plt.show"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 31,
       "text": [
        "<function matplotlib.pyplot.show>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAnoAAAGtCAYAAACBedkGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n3P8HMFTxCgZXUwwAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x16e7e710>"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We see there is a noticeable decline in the median (and average) monthly  review over the years. "
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Do user reviews correlate with critics score?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To compute the correlation between user reviews and critic reviews we first merge the two data frames"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from pandas import merge\n",
      "\n",
      "all_rvs = merge(unique_rvs, game_frame, how = 'inner')\n",
      "all_rvs.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>Name</th>\n",
        "      <th>User Review Score</th>\n",
        "      <th>Giant Bomb Score</th>\n",
        "      <th>Reviewer</th>\n",
        "      <th>Date of Review</th>\n",
        "      <th>year</th>\n",
        "      <th>month</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>                007 Legends</td>\n",
        "      <td> 2.000000</td>\n",
        "      <td> 2</td>\n",
        "      <td> Alex</td>\n",
        "      <td>2012-10-18 13:00:00</td>\n",
        "      <td> 2012</td>\n",
        "      <td> 10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>         1942: Joint Strike</td>\n",
        "      <td> 3.333333</td>\n",
        "      <td> 3</td>\n",
        "      <td> Jeff</td>\n",
        "      <td>2008-08-20 14:00:00</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>         3D Dot Game Heroes</td>\n",
        "      <td> 3.333333</td>\n",
        "      <td> 3</td>\n",
        "      <td> Ryan</td>\n",
        "      <td>2010-05-12 20:00:00</td>\n",
        "      <td> 2010</td>\n",
        "      <td>  5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 50 Cent: Blood on the Sand</td>\n",
        "      <td> 3.214286</td>\n",
        "      <td> 3</td>\n",
        "      <td> Jeff</td>\n",
        "      <td>2009-02-24 08:00:00</td>\n",
        "      <td> 2009</td>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>         A Boy and His Blob</td>\n",
        "      <td> 3.666667</td>\n",
        "      <td> 4</td>\n",
        "      <td> Ryan</td>\n",
        "      <td>2009-10-23 11:00:00</td>\n",
        "      <td> 2009</td>\n",
        "      <td> 10</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "                         Name  User Review Score  Giant Bomb Score Reviewer  \\\n",
        "0                 007 Legends           2.000000                 2     Alex   \n",
        "1          1942: Joint Strike           3.333333                 3     Jeff   \n",
        "2          3D Dot Game Heroes           3.333333                 3     Ryan   \n",
        "3  50 Cent: Blood on the Sand           3.214286                 3     Jeff   \n",
        "4          A Boy and His Blob           3.666667                 4     Ryan   \n",
        "\n",
        "       Date of Review  year  month  \n",
        "0 2012-10-18 13:00:00  2012     10  \n",
        "1 2008-08-20 14:00:00  2008      8  \n",
        "2 2010-05-12 20:00:00  2010      5  \n",
        "3 2009-02-24 08:00:00  2009      2  \n",
        "4 2009-10-23 11:00:00  2009     10  "
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We present a scatter plot to illustrate the relationship."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "all_rvs.plot(x = \"User Review Score\", y = 'Giant Bomb Score', kind = 'scatter',figsize=(8,6), title = 'Correlation between Staff and User Review Scores')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 35,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x16bdba58>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAGVCAYAAAA48hJUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl8FPX9x/HXbk5IIBERgSIiIp6oWFtUqERtPVuvett6\nVv1Vq7WnR1ulP496/bTan0fVIq31qtVfvasoBo2oVFFEEUUEI4eghCvk3p3fH59Z9sgm+SZMsrvJ\n+/l47COZY2e++9mZ+c73+5mZBREREREREREREREREREREREREREREREREREREemEJcB9AS+zAogC\n+we8XBfTgPoMrFc6ZzzwKlCLbSu7++MPAuYAdf74gRkpXbJpwOJMF6KXiQJXZroQ0jnhTBegG20F\nXAd8gB2UNgJzgT8AwzJYrrZ4/qsrLgeOame5mRL0uk8BfhrwMrNNAXAB8DawFlgHLMAqrQkJ8+0C\nTAG23Yx1hYFHgK2BnwE/AKqBAcCjQItflh9gFXg2cNmmKoEP25keBe4MpDTBiKa81gEzaXufDlom\njxExrtu99GJ7ASuxg81fgPOAc4D/Bb4EPspc0dq0GJjaxffWtvHeEFDo/+1p0wi+xf00vb/F9QRW\nYT4AnO+/bgU+Bq5ImO84Nr83ZYS/jAtTxk/yx39vM5bdHabh9v1XAvPbmR4F7gigPEGJAtOxE9NT\ngd8AS+mZ76AQyOvmdbhw3e4FyM90AbpBGfAvbKP/Oq3PvC8Hfh3Qukqwlnw6/ei5rmKP9JWzBzT1\nUBl6Sja0DrrLN7AD9RTgv1Om/RTrRUq1OSdlQ/y/6x3HS9e0d5yIWQg8mDD8GHbycSHwVDeVC7Lj\n+NCV7b675PmvbIhLn/JrrNI+pRPv+T7wFtZC/wrbgbZJmWcaVhFvCzyJdeXM8KctAZ7D8oJv+vPF\n8kZF/v8LgQbsTPpmrGJPlNriLgB+D/wHqPHL9iatu89Su9miwMv+tArSt8omY11xtVi31FPArinz\nTPHfO9b/7Gv8eaemKXs60/wyjwSeATYAX2CpinRn+Kdgn7UO+7z/AEYlTK9M8zkj/rS3se8k0ev+\nPPsljDvIHzc5YVwZ9n1UA43AIuC3tE4jhbCD6Dzs+10J3AtsmTLfEmxbmATM9uddBPwwzWdOdZJf\nvgM6mO8M0n/vp/nTv4V1gX+GbXPLgbuBLRKWMS3N+1/2X6nj27v2YgvgRuA9rKLf4C9jUsp8o/xl\nXYL1fi3yyzYb2DvNco8G3sfiNw84hu5rcZcCN/nLbgBW+Z/hWynv+wbwLLYf1GHXBlSkzDPFX/6u\nwP3YtvxpB+VtqwfgS1o3PFyOJ+8Dr7SxroXEjw+xdafmuF32ic3Z51K5bveJ5bsRi2ssBg8AwxPm\nGYxt818Q34Z+lLKcUcS3yZ9gsWkmfrwchu3jX/jrmQ/8V5rynO8vP3Y8fQc41/GziK8KO7t17U34\nAfblzQYuAq7GDkDVJB+Up2Eb8UfA37CDz5n+tMXYl16D5dV/BBzsT3sW+0Jv9sffjG0Ez6eUI7Xi\nHgys8Of/LywH+R+/rIcmzHcqtmFWYpXfKdjOAukr7gOwjXMB8Atsh1yBbXA7JMw3xX/vHCzfeR62\nI0T9z9iRaVi85mM71Y+xyjjdQepSrBJ+2P+sl2OVzTI/DgDf9suyKuFzxk7ObgFWJyyvP3bG3Owv\nO/Ez1WMHP7CD3RzsZO1q7Pu5B+uyuyeljHf5y7wb++6vwmL2XsLywL7HBVhMr/I/91v+59uF9k3A\n4nMv7W+/2wF/9Oe9ingsRvnTb8W2u8uAs4HbsIpmVsIy9sG++1i+N7bdfDvNstvLMe6NHUD/gMXl\n19g+0gCMS5hvFPHt6WPgl/5rFbavJX7eg7F4vQdcjLXCarCDY0eVIHS+4r7fL+9N2D79C+zE54KE\neSb788zC9sULsWNGE8mV0hR/+e9jFdt/YceV9qTbJ8qw7TCxkg3hdjz5DRa/r6Us8+v+uhIrlSjJ\nXdGu+0RX97l0XLd7sN6Ld/313O1/lsuxk6jYiVYxtq00YfG5AHiReCUdM4r4d7XYL/cF2HFwCHbi\nW43tJ+cSP379JmEZZ/vjHsG2//Ox7zLoC417vRpsw3NRgJ1NvU/yhjUZ+zJuTBg3zR93U5rlLPGn\nfTdl/CnYDpR65n6KP/93EsalVtxhv3yp5Z2H5cMSbSB9jruC1hV3rPJLbH2NwSrZRxPGTSG+MyV6\nDGsJdGQa6S8C+isWk9hJwkhsJ/xtynyjsR3+moRxT5P+wP19kq+IPtBfxz+wA13MS9gOHnM5dpI3\nNmV5lxPvbQBrQUSxk6REE/3x5ySMW+KPS2xxDvY/S+L21JaX/PevxA4GFwHbp5mvvRx3uh6Rk/35\nJyaM25vklrrLslMVphlXju1XiQf6Uf4yV2GVUsz3/PFHJIx7BztpG5Aw7gB/vu6ouNdgJzdtCWEn\nYy+kjC/Ajh2vJYyb4i//UdzFejW2xLqFv4712kSAExPmcz2ebO8PX5wy3w3Yfj4oZd2JFbfrPtHV\nfa4trtv9FH++77ezrIv8eRJ7ucLYcbOe+Ocf5c+3HrtAM9HdWOMhtUftbiw+sbss/g87wexRvfGq\n8oFYReZib+zM6k5sg46ZiXUFHZHmPW1d1PI5VrEkOgFrXczHDt6x1ytYrra9rqEoVqGBHRwHYQe8\nV7EduyuGAXtileeahPGfYK2DQ2mdM01teVZhG3Op4zpTD4i3+es4zB8+Fus6/wfJMVqPHRRdus+q\n/L+xA9r+2AnOE1ilG8IOsvuQfBA5wR9enbLul/zpkxPmq8UO3InzfYRVRKll/CihTGCtl4+wlnJH\nvosdSNcCx2Ot34XYgXyow/shfm1FCNsfBmPdmGAXbgYpMRdYjG0b+VgvQ7rt9DEszRQTi1MsNsOA\nPbBWcOJ+/DJ2h0h3WIttG8PbmL4HVmE9RPL3X4a15CZgnz1RZ69aPx07IV6J9axVYBXPIwnzuB5P\nFmHHr8RKP/b+l7DGTVs62icq/L9d3efa4rrdH4cdFx5rZ1lHYPvl3xPGRf1lFmG9Son+hcU9JuSv\n5xn//8Q4TMdOjGO9UGuxtGq6dE+36Y0V93qSz9TbE7uVJt1V5gtIzrGCfflL2lhWupbAWGBHbIdc\nlfCq9qd3dNHFj7CDVT128F+Fdb119Z7ajj5vCfGu6ZjqlOFYhb8FHfOwk4JEC/2/o/y/sTP4BSTH\naBV24He5MGUldkCLtRC/hR3MXsFitSdWYfUjOfc3FuuWTf1+XvfLPiRhvlJ/PallHJKmjKkxA9vB\nXWJWj3VR7ugv+xjshOEQLJXgYht/3rX+axXx7bOsrTd1UQjrYvwU646PxfJw0m+nHW1PsW10Ia2l\nG9dViRc5/grLSVdjleZVJLc4Y///hdbf/0VYDFJbZos6WZ6nsArlMOI559NJPpHuzPHkYaxyicVz\nX6x3q6NtqKN9IraOru5zbXHd7rfHKu72bIsdd1IvZF2QMD1R6ne1FdZrdDatv+9HSD42XI+dYM72\n13knra97CFxvvKr8Q+yhEgXEW6xdlfrFN2GVdzrpriAPYxVvW/ceL29n3adi3TJPYvnDVVie6Sw6\nd+Hd5oq0MT6oW8xiJ4+HYp8vleuV+a9g3a752Fn+nVgvSDXWcs7HvrvEbs0Q1pL4QxvLjFV2YawF\nktqCiVmTMhxUzL7CWjBPYN2/+2O3cC1t5z152AFvS+BabH/Y6I//N8GfrF+OVXTT/PWuxuJ8GZbu\nSNXd2xNYzrd/G9P6J8wT80+sVXgUVmldhOXqz8Ba2bGYXYK1ZNP5KmW4s3eULCN+sevzWMV4F/Ec\nM3TuePII1jV+YsLfBqxrtz0d7ROJFwd2ZZ9z0d523x13laR+V7Hv+0HavkU3lopZgJ1sHI6dZHwX\nux7oDuyCt27RGyvuJ7Czy+NJvr0inc/8vzthXV6JdqJ167qzB5dPsFbjjI5mTON47Ezw6JTxZ9N6\n43XdmBM/b6qdsO7g1APQ5ghhuezEfGOs9bLE/xs72/2c9h+aAe1/zirsIHcqyWf5r2A7fhh7AE9i\n9+sirHXQ0fezCGsNvUnHt/V0l7ewzzGc9g9g47ADyelYd3PMDuln32zHY93YZ6WMT72tx1VsG03N\nsbY1rq1lHET627B2Spgn0UrsRPlurFfiDeyujoeIb6O1dG1f7op7gZ9j135MxU54OnM8WYpdSHci\ndm3F8diJW0dpRNd9Arq2z3VW6na/iOSLHtP5DGvxh0luaMW++yUdvP9LrMwFuMWhHuu6fww7QZ6G\nXaR2DXaRauB6Y1f5n7Gz1/8hfQU1gPgFT29hO+x5JF+c9i1sB0nNWXf2bC/2VKofp5lWRPt54has\n4ks8WRiNdSGl2kjyBSdtWYFdnHYayd222wNHYvmkoM9oU6+ovRDbmWIXsPwTOyhdQXqJXZAbabu7\nOXbQuBTrwlvlD8euNp1I6y67R7BbfA6jtQHEL7x6GNtX0pUxD+tWC8IY0j8JrRCriFqIdxfHKqTU\n7z3Wok3dt38ZRAHTaEmzrv2wk+euWIFdNfxDkrvaD6Tjq/JjnsG+l9Rbd0JYKyhx+wvTOn2wDju4\nx8a/jVWaPyf9Ptsd9xlHsWPYNtjtUtD548nDWO/j2di1Ay6pFtd9Arq2z6XTme3+n1ha47h2lvcU\n9p0k9kyGsZ6KBlo30lJF/PUcTfziu0SJ33dqiiRCvCs/qONCK72xxb0OC/izWCX1IFZBR4HdsKtr\nv8Iu6W/G8lt/wza2B7Av5SLs7O76lGV3tsX9d2wDux3rOnrNX8aO2BnwccQ37NRlP4lduPUktiF+\nDdthF2Bnk4newlqEv8BOWlaSfBtJol9iXZqvY11w/bBbIOpIvs0hCM3YDvwA9tkPwK4G/TPx3Hfs\nNowbsZ33CSwvux12MvEI1vIByz+egF1kMhv7TmMHoyVYV+GOJF8J/wrxnSv1Ipkbsa6+J7AL9uZg\n8dgN+252w7r9XsW+w19hO/IL2MWMY/zP8ztsG+pIR9vPntj2+ry/zi+xA/XJWCvjJuLd8nOwg8Rl\n2MlMPdZK/BA7yP0P1r24BjsIp94aFJQnsSt9/4q1wHbArrL/APcLGFNdhlW+VVjrpRyrcF2X+RT2\nHd2IVUKvYZXA4dg2eAvx7W8gts/8k/i96BOxbs8/+fNEscrv31jv0VT/PcOJX8B4YBc+Z0f+hqUh\nfoHtQ505noBd2f5H7Jaojbg9yMV1n4Cu7XPpdGa7vxHb5x7C0hpzsO3jUOzE+hXsuHYudk3CeOwY\nczT2HV1K69RWOpdiuerYcXI+tp/t6S8rdufGC9jx9jXsToox2LY6l457EHPKMGyDWIUdbD6ge34E\nI/FZ5Ruxiuk9LO83JGXeY7FKIXYRWLoHsNxH289rXkzyLRCJ8rAd7z1/+TX+uq4kufWY7pGnv8S6\nhur995/ivy81TzgGy0ttwA4yse6dCn/e1PjGHsCyETvRSfcAlth6UmN1hj9+ZLoPmyAWr22wg3At\ntmFfR/oHsByJ5bPW+/N+iB2gdk6Ypx92IP/KL0NqHB70x/0gZfxKf3y6llF/7OAYu/f4S2wn/CWt\n7z09k3h3+TrsO7kBqyBj2toWXqbjbretsJODl7ATx0bsIDMT6/pOdQbW0mnGPl/stq6xWO/JWizn\n/Hfse0y99WfvlPfFHEf67SadAuw7/Zz4Q4IOxr7/xAs2R/nrT/fUwtRygfUsxS7MnIfln1OX2Z5C\nrJs5toyNftlSH8JRgJ2gz8FiXYt9rz+jdU/COOzuh1XYtrLYHz44YZ629pv2pLuPO+Z3/vJiz2Zw\nPZ7ETPff31baMF3sO7NPdGWfS9XZ7b4cOyGJPSCmGksLJV59viXxB7A0YNvQ2SnLGUXb2yTYhbq3\nYicojVhv0Esk93icg+3bsW1ikV+21It8c1o5tuNNww4a22JnwOm6tEVERCTDrsWt60RERETS6OmL\n047GcpOPYF0p75D8WEERERHJIg3EH2O5B5aj24AqbxERkazURPKjIMEq8faeKywiIiK+nr4dbDmt\nK+kFpLlCeejQod4XX3zRI4USERHJAouwu4Ta1dMV92u0voJ8LGmeZPPFF19QU9Pes/AF4LrrruPS\nSy/teMY+TnFyp1i5UZzcKVZuBg0alO4X0Vrp6YvTbsGeaXs5dlZxPPYkrdt7uBy9RnV1ut+zkFSK\nkzvFyo3i5E6xClZPV9xvYVeWn4DdEH8V9pCEzv4EnoiISJ+UiUeePkvbTxmTTjrllJ78obDcpTi5\nU6zcKE7uFKtgBflTekHzlOMWEZG+YtCgQeBQL/fGXwfrU6qqUu+uk3QUJ3eKlRvFyZ1iFSxV3CIi\nIjlEXeUiIiJZQF3lIiIivZAq7hyn3JEbxcmdYuVGcXKnWAVLFbeIiEgOUY5bREQkCyjHLSIi0gup\n4s5xyh25UZzcKVZuFCd3ilWwVHGLiIjkEOW4RUREsoBy3CIiIr2QKu4cp9yRG8XJnWLlRnFyp1gF\nSxW3iIhIDlGOW0REJAsoxy0iItILqeLOccoduVGc3ClWbhQnd4pVsFRxi4iI5BDluEVERLKActwi\nIiK9kCruHKfckRvFyZ1i5UZxcqdYBUsVt4iISA5RjltERCQLKMctIiLSC6niznHKHblRnNwpVm4U\nJ3eKVbBUcYuIiOQQ5bhFRESygHLcIiIivZAq7hyn3JEbxcmdYuVGcXKnWAVLFbeIiEgOUY5bREQk\nCyjHLSIi0gup4s5xyh25UZzcKVZuFCd3ilWwVHGLiIjkEOW4RUREsoBy3CIiIr2QKu4cp9yRG8XJ\nnWLlRnFyp1gFSxW3iIhIDlGOW0REJAsoxy0iItILqeLOccoduVGc3ClWbhQnd4pVsFRxi4iI5BDl\nuEVERLKActwiIiK9UE9X3FOAaMpreQ+XoVdR7siN4uROsXKjOLlTrIKVn4F1LgAqEoYjGSiDiIhI\nTurpHPcU4PvAOId5leMWEZE+wzXHnYkW92hgGdAIvAlcDizOQDlEJItUV4eZMSOfUaOiVFS0ANDQ\nAE8+WYjnwVFHNVFc7L68+fPDzJ6dz667RthxxwhPP11IUZHHUUc1k9/BkW/FihDTpxew9dYehxzS\nzD//WcALLxTwne80c/zxzZx5Zn+WLQtz5pmNNDaG2GmnCNFoiPffD1NfH2L4cI+jjmqisNCW9/HH\nYWbNymfMmAgffpjHO+/kM2FCMxs2hPjkkzwKCmDbbaOUlnqUlHhUV4d5//083n03n+LiKIWFsHy5\nZTb32aeFww5r5oMP8gGPwYM9dtghyuzZeeTnw4QJLXz8cR6rV4eYMCHCYYc1s2hRmClTinn//Twi\nEVizJkxRkcegQR6NjSG+/vVm5s7NZ9myMCUlHhMntjB0qEdeHkQiHk8+WUhdXYj992/mxhvrGDas\n/fg991wBX34ZYu1a+/722aeFq69ucP/ypF093eI+FCjFusu3Bn4L7ATsCqQ2r9XidlBVVcWkSZMy\nXYyspzi5y0SsFi4Mc/DBA1i3ziqnK66o4yc/aeToo0uZNasAsArpySc3UFDQ8fJmzcrn2GNLaWoK\nEQ57DBsWZdmyPAAOO6yJBx7Y2OZ7ly0LcdBBA1m1ysryjW8085//5GOHS4/iYo+GhjBQCUymrcPo\n/vs389hjtbz7bh5HHjmA+nrXw63X5jLd3pP8/pNOauQf/ygkGg3mcF9Q4DF//lq23DL99Esu6cc9\n98TOsGJlqeQb35jI88/XBlKG3ipbryr/N/BP4H3gJeAIvwyn93A5RCSLPP544aZKG2Dq1CIWLMjb\nVGkDvPlmPvPn5zkt74EHCmlqsuNfNBraVGkDPPdcIcuXt31sfPbZwk2VNsBbb8UqbYAQDQ2J7217\nOa+8UsAnn4R5+OHCTlTa7S/T7T3J7w+y0gZobg7x978XpZ3meTBtWuK0+HrffjsTHby9U6YjWQd8\nAIxJN/H8889n5MiRAJSVlTFu3LhNLYHYVYoa1rDLcGxctpQnm4cnTZrU4+tfu3YmUEzsutWiokoW\nLqwnHD7Cr3QqCYU8Bg3ay2l59fUzgULi18FW+n8rKCrymDfvVT79NP37Bw2KJs2flwctLfHh5OWR\nMhyfHg57lJePZ9AgL+30nhouKfHYsGFmoMuvr59JVVVLG/HzWLkydX0QClUCe7aavy8Px/6vrq6m\nMzL9AJZiLL99O3B1yjR1lYv0Ec3NcO65JTz9dAEjRkT52982Mm5chGnTCvntb/sDcNVVdZx5ZpPT\n8tatC3HaaSW89prluCsqWrj77iKKijxuvrmOY49tbvO9ngcXX9yfhx4qZKutPK68so5f/KKEjRuh\npAQOOaSRxx+3VmV+PrS0wOjRUaJR+OyzMKEQFBfD9dfXceqpTdTWwhlnlFJZmc/WW0f58sswLS1Q\nUGCfOyYvD6JR6NcP6ura/3x5eR6RSPzwXVrqUVtrw2VlHuvXh/A82HJLj2nTNnLFFf145x233oqO\nVFS08PjjbXd5V1Xl86MflVBTEyIatc8UCsEdd2zkxBPbjru4d5X3dMV9E/Ak8DkwBPgdMAm7yvzz\nlHlVcTtQ7taN4uQuk7GKRiGcksDzPPsb6sLRKnF5nte5ZaSWpaWFpIvaXn65igMOmJQ0X6ySSree\nxPkikXhFHRMOx+dJHJ84zvPYlOP3vHhsEt+T+n9i+UOh+PI8L/5/fr6dRHieDcfeF5uvuTk+PvX7\n6Sh+TU0we7b2PxfZelX514CHgMHAl8DrwD60rrRFpA9KVyl0pcJOt7zOLie1LKlXoscq0MT52qvU\nEqfl5aWfP7HCbG8ctD5B6KgcsfLntdHwbuuiv1CITVfHd0asDF15r7Qv013l7VGLW0RE+oxsvapc\nRERENoMq7hynZwC7UZzcKVZuFCd3ilWwVHGLiIjkEOW4RUREsoBy3CIiIr2QKu4cp9yRG8XJnWLl\nRnFyp1gFSxW3iIhIDlGOW0REJAsoxy0iItILqeLOccoduVGc3ClWbhQnd4pVsFRxi4iI5BDluEVE\nRLKActwiIiK9kCruHKfckRvFyZ1i5UZxcqdYBUsVt4iISA5RjltERCQLKMctIiLSC6niznHKHblR\nnNwpVm4UJ3eKVbBUcYuIiOQQ5bhFRESygHLcIiIivZAq7hyn3JEbxcmdYuVGcXKnWAVLFbeIiEgO\nUY5bREQkCyjHLSIi0gup4s5xyh25UZzcKVZuFCd3ilWwVHGLiIjkEOW4RUREsoBy3CIiIr2QKu4c\np9yRG8XJnWLlRnFyp1gFSxW3iIhIDlGOW0REJAsoxy0iItILqeLOccoduVGc3ClWbhQnd4pVsFRx\ni4iI5BDluEVERLKActwiIiK9kCruHKfckRvFyZ1i5UZxcqdYBUsVt4iISA5RjltERCQLKMctIiLS\nC6niznHKHblRnNwpVm4UJ3eKVbBUcYuIiOQQ5bhFRESyQHfkuHcHbgeeA4b5444Bxne2cCIiItI1\nrhX3wcB/gK8BBwH9/PHbA1d2cd2XAVHgT118v6DckSvFyZ1i5UZxcqdYBcu14r4a+DlwNNCYML4S\nmNCF9e4DnAO8B3hdeL+IiEif5Jrj3gjsCiwBNgB7AJ8Co4EPgaJOrLMMeBs4G5gCzAMuSjOfctwi\nItJnuOa48x2XVwOMwCruROOBpZ0pGHA38Cgwk+y+OE6k2zz1VAEvvVTATjtFOPfcRsJZcH/HNdcU\nce+9xZSWejzxxHpGjw5muQ8+WMjs2fnsvXcLP/hBU5vzzZiRz2OPFVJdHWbMmAhnntlEZWWYq64q\nwfNg4sRmtt7aY968PD79NEw0GuJrX4tyxx0b+f3v+1FbG2LHHSM8/3wBTU0htt8+wm67RXjxxQIa\nGkJEox4tLbFDjkdHh5/CQigvj7L77hHeeSePNWvChMMeLS0kvDfKQQdFqKkJ8+WXIZYvDxONQr9+\nHt//fhOjR0e5/fZi6upCbLFFlC+/DNHcnLjexHJ4hMMh8vM9PI+U+aBfvygQpqQkypo1YSIRKCry\nGDs2ClhcbFlRttvOY9gwj9JSj512irB4cR5vvJFHc3OI3XZrYezYKOvWhSgogEgECgpg9OgoF1zQ\nwEsv5fHTn5YC8Mc/1nLEEZGOv+Q2DB48kGg0DHgsWLCOIUO6vChJ4FpxXg98CzgRmA/sjV2gNg24\nD/i943LOAc7FusojwMuoxb1ZqqqqmDRpUqaLkfWyKU5PP13AaaeVbhq++OJ6rriiIYMlgr/9rYCL\nLy7BDgmV5OdPZtWqtZu93HvvLeLXv+6/afi66+o499zGVvPNmpXPkUeWEo3GD0lFRR6NjdDxYarj\nSrh7VAIVHcyTqbJ1zRFHNPLMM4Uknky89dbaLp3EWaWd5w9VApOpqdn8bao3C/qq8t8Bi7EWdwlW\nec8AXgWucVzGjv68p2KVdqyAubNViwRgxoyCdocz4f77i0jcFVtaoL5+85c7Y0Z+u8MxlZX5SZU2\nQGOj6+Ehmw8h2Vy21iorEyttgBCPPtqZTGictbSlO7h0lYeBMcB5wBXAXv64d4CPO7GufYHBwAcJ\n4/Kwlvx52AlBc+Ibzj//fEaOHAlAWVkZ48aN29Rqil2lqGENuwzHxmVDeXbeOYK1QAAq2HnnSMbj\ns802M3j77ULgAKwV+TJvv1272cvfeedv8+9/s+nz7rzzPmnnD4UqsZtVKvy4VGKt1QpivQCxeMWn\nx4Y9LPPW1vTuHKaD6ZPpuPzZMzxmzCTmzs0jHs/JVFS0dPH7LwEOJK4S2LMT7+/9w7H/q6ur6QyX\n08EwdiX5zsAnnVp6sjLsdrLEdd+HVf7XYq34ROoql14pGoVrry1mxgzLcV93XR0DB2a6VHD44aXM\nnp1PXh7cdttGTjyxueM3daCxEa64oh+zZ+fzjW+0cNVV9RS10YC77bYiHn64kNWrwwwdGuXCCxv4\n298KqaqyHonyco9BgzyWLw/R0GCHrsJCuOiiev7yl2KamqCszGP5cmvpFRXB1ltH+fzzMF4X713J\ny7M895o1lrtOZ+hQj7o6qKsL+flvM3ZshKFDo1RVFRCNQjhMm8vojFCIpM/Tv79HJBLroYgbNMij\nuBi23TZwGRLtAAAgAElEQVTC0qXhTfn3LbaIss02VuZwOITnQX6+x+jRUW64oY7bbivmnnuK8Dw4\n66xGbriha10vq1bBTjuVbxq+5JK1XHJJlxbVZ7h2lbv247yP5adf34wypVOJ5bgvTDNNFbeDbMrd\nZjPFyZ1i5UZxcqdYuQk6x/0r4CbsKvIgkzYeuo9bRETEmWslvAEoxnLSLSQ/hMUDuqOjTy1uERHp\nM4K+jztdV7aIiIj0MNeu8mkdvCRD9AxgN4qTO8XKjeLkTrEKlmuLG6yr/FTs6nIPuwr8QZK7zUVE\nRKQbuea4dwH+jeWy5/nv2w1YBxyKPa88aMpxi4hInxH07WDTgTrgh8B6f9xA4O9YS/zgzhexQ6q4\nRUSkzwj6drCJwG+IV9r4//8G0M15GaTckRvFyZ1i5UZxcqdYBcu14m4AytOML/OniYiISA9w7Sr/\nK/AN7Je9Yk9P2w/4MzAbOCPwkqmrXERE+pCgu8ovBhYCr2BXkTdiT6H/yJ8mIiIiPcC14l4DHIX9\nNOex/mtH4BhAP7CaQcoduVGc3ClWbhQnd4pVsFzv4y7CKvmF/iumHxBF93KLiIj0CNcc95PADOCP\nKeMvxn7Q9egAyxSjHLeIiPQZQee498Pu5U41HbtVTERERHqAa8XdH4ikGe8BA4IrjnSWckduFCd3\nipUbxcmdYhUs14p7HnBKmvEnA+8HVxwRERFpj2uO+3DgCeBR4CV/3LeB47Ery58KvmjKcYuISN8R\ndI77WeB7wLbAbf5rG39cd1TaIiIikoZrxQ3262ATgRL/NQl4rjsKJe6UO3KjOLlTrNwoTu4Uq2B1\n5ve4Y/phXeSlwAvAJ4GWSERERNrUUV/6VVhF/Ut/OB97Nvme/vBG4DvAG91QNuW4RUSkzwgqx30k\nyZXyycBOwLeAwdjzyi/vWhFFRESkszqquLfFbgWLORh4HHgNqAGuBvbunqKJC+WO3ChO7hQrN4qT\nO8UqWB1V3HlAc8LwBGBWwvAKYFDQhRIREZH0OupLfwe4A7gH2A5YBIwDPvCnTwQeAUZ0Q9mU4xYR\nkT7DNcfd0VXltwO3YjntCVi++4OE6QdglbuIiIj0gI66yu8FLgQGYr8OdmzK9K8BU7uhXOJIuSM3\nipM7xcqN4uROsQqWy33cU2m7cv5xgGURERGRDrg+qzwTlOMWEZE+I+hnlYuIiEgWUMWd45Q7cqM4\nuVOs3ChO7hSrYKniFhERySFdyXGX+n9rgyxIGspxi4hInxF0jjsE/Az4HFjvvz4Hfu6yEhEREQmG\na8V9PXAlcBf2a2Df8f//HXBD9xRNXCh35EZxcqdYuVGc3ClWwXL9Pe4fAecAjyaMewn4CLgb+FXA\n5RIREZE0XLu5a4B9gI9Txu+IPQZ1iyAL5VOOW0RE+oygc9z3AxekGf9j4O/uxRIREZHN0V7F/Sfg\nNv9VCJwJLACmAX/1/z8L++lPyRDljtwoTu4UKzeKkzvFKljt5bjHAV7C8Bz/77b+3y/8187dUC4R\nERFJI5tv5VKOW0RE+gw9q1xERKQXcq24i4CLgaeAN4H/JLxmd0/RxIVyR24UJ3eKlRvFyZ1iFSzX\n+7j/DBwJPAHMJzn37aV9h4iIiATONce9FjgaqOy+orSiHLeIiPQZQee4VwFfbU6BREREZPO5Vty/\nA64FBm3m+i4A5gLr/Ncs4PDNXGafptyRG8XJnWLlRnFyp1gFy7Xifg7oj7W8lwKLE16fdmJ9nwO/\nBsYDXwdmAP8C9ujEMkRERPos1xz3E8DewINY5Z16cdr/bEYZVgOXAvekjFeOW0RE+gzXHLfrVeXf\nBg7CflAkKHnA8UAx8EqAy+0TZs3K5+qri/G8EL/9bT0TJ7ZkukhZaf16uOyy/syfn8cBBzTz2982\nEA7D/PlhfvOb/mzYEOInP2ng6KObA13vwoVhLrusP2vXhjjvvEaOP75p07SWFvjud0uZNy+fIUOi\nnHdePTfc0J/m5hBnn93AlCkNrZZ3+un9eeqpQgCOOKKJ+++vS5q+YkWIX//aPmdLCwwdGmXx4jA1\nNWH69fO4666NPPJIETNmFACQl+eRnw9HHtnEddfVU1QEgwaVETtmDB7cxP77h1i0KExBgcfGjSE+\n/zxMba1NLy2NcuGFjdxzTzEbNoSIRu1zhcMwcKBHUxM0NISIRKx8BQVwyy0b+dnPSmj2Q52fD1ts\n4VFbG6K5GUaMiDJsWJR3380nGoXmZohG45+xsDDCsGFWDoBhw6L06wfLl4cJhz2i0RDhsEdjY2jT\nOsrLPZqbQzQ22rJiyysp8dhllwj19SHWrAlRUxOmsNAjHPZYty5MKASjR0e45ZY67ryzmMrKfEIh\n2Gorj+pqiERinZUeNTXrurKJAPDAA4Xcd18R5eUeAwdGqaoq8L/jZq69to5+/Wy+558v4Mor+7Fi\nRYihQyP07x+ioAB+9rMGDjusmWXL4MgjB/L552EKC6Giopmbbqpj6NB4G+vuu4t45JFChg2LcsMN\ndQwf3r03BEWjcO21xbz0UgE77RTh+uvrGDiwW1fZZ7i2uBcAJwPvBLDOccDr2L3h9f5yn0kzn1rc\nbVi9OsT48WX+QbSS0tLJzJmzjsGDdWdeqgsu6M9DDxVhN0RUcO21dZx7biO7717G8uV28M3L85g5\ncz277BJtb1GdstdeA1myxB7jHw57TJ++gfHjrRY788wSnniiMGFuj8Rd8eGHN3DwwfETsRdfzOeE\nE0oT5vF46KFaDjkkPs93v1vKrFkF7ZQoeR2Jfv7zem69tYBIJM+fpxKY3Ob8LssMZv6g3995BQVW\n8adXCVQALdTUbOj0st98M4/DDx+A56Vf/vnnN3D11fUsWRJmwoSBactRWOjx2mvrOeGEUhYvTv7Z\niP33b+Zf/6oFYPr0fE48ccCmaRMmtPDcc50vc2fcc08Rl1zS3x+q5MQT9+XOO+vafU9fF3SL+2Lg\neuzisoVdLxZgJwG7A2VYi/th4ADgrdQZzz//fEaOHAlAWVkZ48aNY9KkSUD8Yoe+OLx0aZja2pmb\n4lRbG+Kpp15jhx2iWVG+bBpesOAwP0rv+sP7sm5diOXLY508FUQiIZ56ahY1NS2BrL++HpYseXXT\n8qPREE8//RobN9ryP/wwj/idlRXEK0sb/s9/8unfv3LT8v7973xgZtL89933OiUljZvW/957r2KX\nrFT48yUun5T3J09fsCCPSOSVNO8PtbO8vjHc3Nze9Hf94XCXtpfnn8/H8w5LWF7y8mfNagG+zqJF\nYZqb039/TU0VfPpp2N+ek7+vuXOj2OVE8Oyzr2GdmzZ93rxXqKra2K3734wZRcDBfnne5T//iQB7\nddv6cnE49n91dTWd4Xr6ugFrIecDjUBiv6wHbE4HyHTsgrczU8arxd2GjRth4sSBVFfbGfaIERFm\nzVpPaWmGC5aFrrmmmP/5n36bhu+7r5ajjmrm298ewJw5dt46cGCU115bz9e+FlyPxRFHlPL669YC\nLi21Fv1221mLfsqUYm67LV6mUMjb1OoKhTxmzFjPHnvEW/8LFsB++5WT2OJ+5ZW17LZbfH3nnFPC\nY48ltuKT5edHaWlJfy3qjTfWcc01+axdW5C0DrW4YdCgKDU17V3D61FQ0MzKlRs7veyFC8NUVAyk\nvj79Z7rqqjouuKCRr74Kse++A1m9unU5Bg2KMmvWek4/vYQ330zucTnxxMZNLdx33snj0EMHbGq1\nH310E1Ondr7MnfH00wWcdlr8oHTxxfVccUXrNJDEuba4XfeCMzqYPs1xOenMwK42Pz1lvCrudixd\nGuKOO4rxPLjgggZGjFA3eTrRKNx7bxEffphHRUUzRx1lyc81a0LcdlsxtbVw5pmNgXaTg+XWb7ut\nmLVrQ/zwh03ssUckafqVVxbz/POFjB0b4ZJL6vnpT0toaIDLL6/n8MNbX69w//35XHKJHQT/8Ida\nTj89eZ7GRvjf/y1m/vw8mppg5Mgo8+eHmTs3nxEjIkybVsfzzxdw//2FhMPQr59HOBzitNMaOfVU\ny78PGTKAlhY7GbzggrVsvXURixblUVLisW5diA8/tOV5Howf38zvf1/PNdf0Z+XKMJGIpXBKSjx2\n2CHK+vWwenWYtWtDNDWFGDo0yqOP1nLyySV89lkeoZDHyJEeo0ZFWLEizNq1Yfbbr5ntt4/w5JOF\ntLTAhg0hampCtLTYYWqvvRrZdtsQL79cQEGBx4QJEUpKosydm09xsUdDQ4jCQli3LsSyZZazHj++\nhTVrwqxfH6KhAerqLB+/ww4RJk9uYf36MKtXw8KF+QwcGKV/f4/58y1lcMghTfzudw088kgBjzxS\nRH4+jB4d5bPPWnjnndiJV6RL3eQxb7+dx4MPFrHlllG23DLKM8/YyddxxzVx2mnx6yIWLgxz883F\nfPhhHjvv3EL//pCXBz/6USNjx0ZpaYGzzy7hnXfyGDjQ49hjm/nJTxooTDiXe+21fB57rJDhw6P8\n5CcNFBd3udjOnnqqgBkzLMd9zjmNhPXrGO0KuuIOynXA01gLewBwCnZ72KFYyzuRKm4HVVVVm7pf\npG2KkzvFyo3i5E6xchN0jhssQXIq9vvbHvbM8gexrnNXWwN/B4ZiD2CZS/pKW0RERNJwbXHvAvwb\ny2XP89+3G1b5Hgp82A1lU4tbRET6jKC7yqcDdcAPgfX+uIFY67mY+KWDQVLFLSIifUbQPzIyEfgN\n8Uob///fAEpcZJCeAexGcXKnWLlRnNwpVsFyrbgbgPI048v8aSIiItIDXLvK/wp8AzgXe+oZwH7A\nn4HZdHy7WFeoq1xERPqMoLvKL8aemPYKdhV5I/Yopo/8aSIiItIDXCvuNcBRwI7Asf5rR+AYYG33\nFE1cKHfkRnFyp1i5UZzcKVbB6sx93GCt7s19VrmIiIh0kUuOewSwK/awlC+Aw4DLgH7Y73RfQ/Lv\ncwdFOW4REekzgspxHw58AjwHLAJOAB4DaoFVwJXAJZtTUBEREXHXUcV9JXAn9rCVS4H7sHu3DweO\nwH7mM/XHQaQHKXfkRnFyp1i5UZzcKVbB6qji3hm4A2th34n9tGfic8WnA6O6pWQiIiLSSkd96VHs\nB0FW+cMbgD2AT/3hocBy3K9O7wzluEVEpM8I+j7utuhHoEVERHqQS8X9KdbS3gCUAO8lDC/qvqKJ\nC+WO3ChO7hQrN4qTO8UqWB3dx32WwzLU6hYREekhrs8qzwTluEVEpM/oqRy3iIiI9CBV3DlOuSM3\nipM7xcqN4uROsQqWKm4REZEcohy3iIhIFgg6x30aUJxmfKE/TURERHqAa8U9DXteeaqB/jTJEOWO\n3ChO7hQrN4qTO8UqWJub494GWBtEQURERKRjHfWlz/P/7gp8BLQkTMsDtgWeBY4PvmjKcYuISN/h\nmuPu6Mlpj/l/dwWeBjYmTGsCFifMIyIiIt2so67yKf7rLOB3CcNTgGuBh7AKXDJEuSM3ipM7xcqN\n4uROsQpWRy3umGkJ/5fTusJXn7aIiEgPcL2PexRwF1CB3QKWyMPy3UFTjltERPqMoHLcMVOxlvZZ\nwAr0i2AiIiIZ4Xo72DeB04EHgZeBypSXZIhyR24UJ3eKlRvFyZ1iFSzXinsJUNSN5RAREREHrjnu\nA4FLgQuAhd1XnCTKcYuISJ8RdI77CazF/RHQSPKDWDzSPw5VREREAubaVX4hcC52cdqP/eHY66Lu\nKZq4UO7IjeLkTrFyozi5U6yC1ZX7uEVERCRDuvJ73ENpfS93dQBlSaUct4iI9BlB57jLgD8BJwAF\nKQvurgewiIiISArXHPdNwB7A0UADcDLwS+Bz4KTuKZq4UO7IjeLkTrFyozi5U6yC5driPgw4BXgF\niABvA49gT1E7F3i0W0onIiIiSVxz3LXALlgu+3PgOOBNYDvgA6B/N5RNOW4REekzXHPcrl3li4DR\n/v8LsK7yEHAM+mUwERGRHuNacf8Vy3ED/AE4D2jGct/Xd0O5xJFyR24UJ3eKlRvFyZ1iFSzXHPfN\nCf/PAHYC9sYef/pe0IUSERGR9LpyH3dPUY5bRET6jCDu4/45cCdQD/yC9n+D++Z2piW6DDgWGIs9\n8/wNf9wHju8XERHp09rLcV9I/GrxCzt4uZoM/C+wL/aLYy3Ai8AWnSq1bKLckRvFyZ1i5UZxcqdY\nBau9Fvd2Cf+PCmh9h6YM/xBYB+wHPBPQOkRERHqtTOe4hwHLgEnArJRpynFLWp6ftAml2XqjUQin\n6Udavx4GdvLHZz3P1pG4zPbW3Vl1ddC/jScgRKO2rryEhwm7rDsatemJ83he/L2QPj6xz1hTA5Zm\nSz+9M1Lf09QEhYXpp6fGOhqNlzUSsf9Dofi09j5De1paIL+d5kpXPmdXxL6T9tbV0ffdU2XdXB3F\nXOKCuo+7hORHmt4JTPVf9wH3+PN01a3AO8Drm7EM6UOmTStkm23K2WabcqZOjdcCTU1wxhklDBlS\nzvjxA3n/favxzjuvmEGDyhk1qpxBg8p5+mm39dx6axFDh5az5ZblbLVVOeecU8Jf/pJ+3Z01ezYM\nGlTOiBFWpiuvLNo0benSELvvPpDBg229w4eX8dxzBW1+7pi3385j3LgyttrK3rfttuX86lf92GYb\nGx48OP6aNGkAy5fHjw1XXtmPYcOsLGPGlPvxsrOcmpoQhx9eylZblXPQQQNYsaLjM5YlS8Lst99A\nhgwp59hjS/nhD/szaFA5Q4eWs9tuA9mwAY45ppQhQ8rZddcyRowoZ/jwcvbffwBbb23/x8o6fHj8\nMw0eXM4eewxk663LGTeujDlz7DueNy+P8eNt/FlnldDc3LpMK1fCmDFlDBli5Zg5M7kmWb8ejj7a\nPuekSQOoru6eGvHxxwvYZpv4dnXGGenL2973vXZtiO99z8paUTGApUsz3f5Kr6OYS9d19I3/BDgI\ne9AKwAZgNlDnv3d34Ha6di/3zdiPlkwClqSZrha3g6qqKiZNmpTpYvSIpUtD7LlnGdGobbbhsMec\nOesZOTLK3XcXceml8ebrXnu18OKLGxg0qBzbVCuBCsCjpmZtu+uZPz/MpEllrcaHQh6e13rdnTV0\naDlNTcm/0xMr08knl/D888kH6qIij+Zm0n7umH32GcjHH6f+1o9HW7v4ccc1cvfddcycmc8xxwxI\nmVoJTKamZi2//nU/7r23eNOUE05o5K676tr9fCedVMILLyR+huRy7LVXM3PmFLS7DBc77hjh9dfX\nc8ABA5g7N14p3HhjHWef3Zg07xFHlPL66/F1brlllIUL120a/v3v+3HrrcUJ8zdx//0b211/Z/e9\nDRtg7NhyGhuTv5Prr6/jnHPi5W1vOwf4zW/6ceed8bIefXQTU6e2X9ZMSI55JVtuuX9SzKW1oH4d\n7GTg2pRx52JPUotNv5jOV9y3YJX2AaSvtAE4//zzGTlyJABlZWWMGzdu044Su9ihrw/HZEt5unN4\n8eIw0egR/ieuJBqFNWv2YuRImDPnVaAIq5xh6dKZVFXVAd/153/X/zu5w/WtXh3GKi82LQ8q/a5L\nG45GZ/Lyyxs5/fT9Ov15WlpotfzY9C+/jF0GEp9uB/r4cDQa4uWXq9h+++im5X/xxUysA62i1fvT\nDS9c+CpVVfWsXn1Am/P/61+1fPXVIUnTv/pqYoefr3X8ksv/1Vfp49vZ4RUrosD4Vsv76qtQq/It\nW/YK9iOG9v7a2plUVdVumv7BB69gv1Zs0z/99FWqqura/T7nzZvXqe139eoQjY2x7bHt8q5dGyYa\nnblpeur3vXp1cjxXr279ebNheNmy/li7D+Bdams9YM+sKV82DMf+r67u3C9jd1SzrwS+CXzmDy8F\nJiYMj8V+cCT1lL09twLHY5X2R+3Mpxa3JGlpse7MWbPsLH6ffZp54olaCgrg44/DHHzwANavty7O\nKVPquOiiRoYPL6OhIYRt6h477dTCrFm17a6nvh4OPXQA8+bFz2vLy6OMHh3Z1FJMXHdnnXRSf79F\namWy1t96AB59tIDzzishcdf83veaWL06lPZzx1x7bTE33dQvaT2DB0f9Si1ZKOQxdepGjjqqmbVr\nQxx44ACWLGndWq+pWcvLL+dz0kmlNDeHyMuz933ve2n6dhM88EAhF13UH88LUVzs4XkktDI97rpr\nAxdfPMD/XuKt8bw8j0gk9ZCU2msQH/7Vr+q57LIGbrmlmKuuss9eVhZl+vQNjBmT3BPywAMFXHhh\nLK4eJ53UxB13xHsO3ngjj2OOGUBjY4hQyOOOO+o48cSmdj9nV/zgByU8+2y8N2LAgCgvvriBHXaI\nl7e97Rygqiqf444rpakpRDjs8ec/b+T732//O8mEjmIurbm2uDuaoR4Yjz2fPJ1dgDlAcRvTU90O\n/AD7edAPE8ZvAFL7elRxSysNDfDkk4V4Hhx1VBPFCVveZ5+FqazMZ9SoKJMnt2waP2HCAD77LMz+\n+zfzj3+4HThqa209n3wSZsSIKAcf3MzgwV6b6+6sX/2qmP/7v0J23TXCE08kb/qvv57HtGmF1NWF\n+N73mjnuuGaamtr+3DEvvpjPokVhWlpCDB0a5fDDm3n22QKWLQuzenWIlSvtsxx+eDN77RXZ9L6a\nmhDPPlvAU0+FePHFYgoLPVasWL9p+vvv5/HWW3nssUeE8eMjrVecxptv5vHhh3nsu28L220X5fTT\n+7NmTZgbb6xj3LgoH30U5vXX89lhhwgrVliZx49v4Y038iko8Fi8OI/GxhCTJzfxpz8Vs3p1mOOP\nb2S//Vr44IN8RoyIctBB8e+4sjKfzz4Lc8ABLW2mL154IZ/HHivkm99s4eyzW1fKCxaEeeONfHbZ\nJcI3v+n2OTurpQWefLKAuXPzGD48ymGHpS9ve9s5WDpn9ux8xo2L8PWvd09Zg9BRzCVZUBX3x8Bv\ngX+0Mf0k4CpgB8dyRUmfeJsC/HfKOFXcDvpSjntzKE7uFCs3ipM7xcpNUDnuZ4Argaew1neiEqzC\n7cz91zlw84KIiEj26qhm3xrrCm/BurljOemdsSvOw1hX+spuKJta3CIi0mcE1eJeiV2Mdif2c57x\nK0zgBeB8uqfSFhERkTRcuq6XAIcBQ7BnjO/r/38YsLjbSiZO9AxgN4qTO8XKjeLkTrEKVmceZbPa\nf4mIiEiGZOez8oxy3CIi0mcE9axyERERySKquHOcckduFCd3ipUbxcmdYhUsVdwiIiI5RDluERGR\nLKAct4iISC+kijvHKXfkRnFyp1i5UZzcKVbBUsUtIiKSQ5TjFhERyQLKcYuIiPRCqrhznHJHbhQn\nd4qVG8XJnWIVLFXcIiIiOUQ5bhERkSygHLeIiEgvpIo7xyl35EZxcqdYuVGc3ClWwVLFLSIikkOU\n4xYREckCynGLiIj0Qqq4c5xyR24UJ3eKlRvFyZ1iFSxV3CIiIjlEOW4REZEsoBy3iIhIL6SKO8cp\nd+RGcXKnWLlRnNwpVsFSxS0iIpJDlOMWERHJAspxi4iI9EKquHOcckduFCd3ipUbxcmdYhUsVdwi\nIiI5RDluERGRLKAct4iISC+kijvHKXfkRnFyp1i5UZzcKVbBUsUtIiKSQ5TjFhERyQLKcYuIiPRC\nqrhznHJHbhQnd4qVG8XJnWIVLFXcIiIiOUQ5bhERkSygHLeIiEgvpIo7xyl35EZxcqdYuVGc3ClW\nwVLFLSIikkOU4xYREckC2Zzj3h94ElgKRIHTM1AGERGRnJSJirsEeA/4KVAPeBkoQ6+h3JEbxcmd\nYuVGcXKnWAUrPwPrfM5/AUzLwPpFRERyVqZz3BuAC4C/pZmmHHcHpk4tJBKBc85pynRR2rRqVYgV\nK8KMHRuhX7+uL2f9evj00zxGjYpSXh5MJ82SJWFqa0PsskuEsGPf00cfhfE82GmnaCBliGlqggUL\n8hg8OMrw4R4LF4ZpaYGddw52PSI9aeNGWLgwj222ibLllupc7Ug257glANttV8Yvf1nCJZeUsN12\nZZkuTlovvJDPnnuWccABA5k8eSBfftm188SPPgrzzW+WceCBA9l774G8917eZpftj38sYq+9yth/\n/4GcfHIpkUjH7/nFL/qz775l7LdfGT/7Wf/NLkPMhg1wyCEDqKgYyPjxZZxwQgkTJpQxcWIZ//Vf\nwa1HpCctXRpi4sSBHHigbddVVZno4O2dVHHnoPvuK2TduthXV8m6dWH+/OfCjJYpnd//vj8NDVZZ\nf/JJHn/5S1GXlnPLLcWsWmWft6YmzA03FHd6GYk5tro6uOqqePN/+vQCXnqp/YPKxx+Hue++ePn/\n+tciPvwwmN3n4YeLmDvX1t/cHOLFF+Pf5T/+UcScOZt/otIZyke6UZzad+edxVRX27ZbWzuTq6/e\njC43SZLVp0Dnn38+I0eOBKCsrIxx48YxadIkIL7T9NVhqEyK1aefvkJVVUvWlK+qqoqNG/sDB20q\nb3V1I/DNzfy8FV16/7x585KGPa8S65Gy5X3wwav07x9p8/1vv/0qULppfqhkzpxadt55YiDxSv18\nm/t5Ndz9w/Pmzcuq8mTb8LJlRcDBmHdZvz4C7JU15cuG4dj/1dXVdIZy3Dlq9Ogy1q61Fl9ZWZTF\ni9dluEStTZ+ezxlnlFJfH2LMmAjPPLOBrbbqfJ7ro4/CHHXUAFatCjNoUJTHH69l990d+rbb8cc/\nFvHf/23d0N/5TjMPPlhLXgcN21/+sh9Tp1pr//TTG7nllrrNKkPMhg1w5JEDmDs3n4ICj4qKZqZP\nt1b3CSc0ctddwaxHpCctXRriu98dQHV1HqWlHg8+WMukSS2ZLlZWc81xZ6LiLgF28P9/DbgOeApY\nDXyeMJ8q7g5MnWoH97PO6jsXp223XZSysuAuTtu4McTOO3fu4jSAHXfs3ovTPvkkTHOzLk6T3LZx\no6XJRozQxWkusrnirgBm+P97CWWYBpyVMJ8qbgdVVVUJ3a3SFsXJnWLlRnFyp1i5ca24M5HjrkQX\nxcmKErcAAAsDSURBVImIiHRJpnPc7VGLW0RE+gzdxy0iItILqeLOcbqX1I3i5E6xcqM4uVOsgqWK\nW0REJIcoxy0iIpIFlOMWERHphVRx5zjljtwoTu4UKzeKkzvFKliquEVERHKIctwiIiJZQDluERGR\nXkgVd45T7siN4uROsXKjOLlTrIKliltERCSHKMctIiKSBZTjFhER6YVUcec45Y7cKE7uFCs3ipM7\nxSpYqrhFRERyiHLcIiIiWUA5bhERkV5IFXeOU+7IjeLkTrFyozi5U6yCpYpbREQkhyjHLSIikgWU\n4xYREemFVHHnOOWO3ChO7hQrN4qTO8UqWKq4RUREcohy3CIiIllAOW4REZFeSBV3jlPuyI3i5E6x\ncqM4uVOsgqWKW0REJIcoxy0iIpIFlOMWERHphVRx5zjljtwoTu4UKzeKkzvFKliquEVERHKIctwi\nIiJZQDluERGRXkgVd45T7siN4uROsXKjOLlTrIKliltERCSHKMctIiKSBZTjFhER6YVUcec45Y7c\nKE7uFCs3ipM7xSpYqrhFRERyiHLcIiIiWUA5bhERkV5IFXeOU+7IjeLkTrFyozi5U6yCpYpbREQk\nhyjHLSIikgWyPcd9PrAYqAfeAiZlqBwiIiI5JRMV94nAH4GrgT2BWcBzwDYZKEvOU+7IjeLkTrFy\nozi5U6yClYmK++fAfcBfgI+Ai4AVwI8zUJacN2/evEwXIScoTu4UKzeKkzvFKlg9XXEXAnsBL6SM\nfwHYr4fL0iusW7cu00XICYqTO8XKjeLkTrEKVk9X3IOBPGBlyvhVwNAeLouIiEjO0e1gOa66ujrT\nRcgJipM7xcqN4uROsQpWT98OVghsBE4CHksYfzuwC3BAwrhPgO17rmgiIiIZtQgYk+lCpPMG8OeU\ncR8D12SgLCIiItKBE4BG4GxgZ+BWYD26HUxERCRr/Rh7AEsD8B/0ABYRERERERGR7qfHoXZsf+BJ\nYCkQBU7PbHGy1mVYj8467JbDJ4FdM1qi7HQBMBeL0zrsaYaHZ7REueMybB/8U6YLkmWmYHFJfC3P\nZIGy3DDgr9hxqh74ADvOp5Vtt4PpcahuSoD3gJ9iX7KX2eJkrcnA/wL7AgcCLcCLwBaZLFQW+hz4\nNTAe+DowA/gXsEcmC5UD9gHOwfZF7YOtLcCezxF7jctscbJWOfAatg0dDuwE/ASrxHPCm6S/4vza\nDJQlV2wATst0IXJECVZ5H5HpguSA1VilJOmVYbesTgZeBm7LbHGyzhRAzzl1cy3wamfekE0tbj0O\nVbrbQGybX5PpgmSxPOw5C8XAKxkuSza7G3gUmEl2/zxyJo0GlgGfAg8B22W2OFnraGA28Aj2VNF3\nsPRVThiO5UFSc9pXYF0ukp5a3O7+AbyNDrTpjANqgWbs9kz1SrTtHOzaiTx/WC3u1g4FjgN2Aw7C\nYrQCGJTJQmWpBizleQ2WnjoDO67nROWtirtrVHG7uRm7mG9UhsuRrQqwFtJ4rOtuA7B3RkuUnXbE\nco9jE8ZVoovTOtIfa03+LNMFyUJNQOrvnl4DzM9AWTqtEDvb/37K+NuxszVJTxV3x27BuuzGdjSj\nbDId+/ldSXYG1sBoTnhFgQh2AC7IWMmy3wzseC7JlmCpl0Q/xHrA0sqmHHcT1o15cMr472BXl4t0\nxa3Y3QoHYhc6ips8suv4kC3+D+v+3cN/7YndtvqQ/39z5oqW1YqxJ2WuyHRBstBr2JXkicZiFXpO\n0ONQ3ZRgB4k9sR9t+Z3/v+KU7HbsvuQDSL4tpSSThcpC12EpqlFYrvsPWAvyOxksUy6pRF3lqW7C\n7kPeDpgAPA2sRceodPbGGq6XYz8wcjwWqx9nslCdpcehdqyC+EMNIgn/T81gmbJRanxirysyWags\ndB92dt+A5SFfQJV2Z+jitNYewtJTjdi1JY/SulUpcYcD72IXqS3A7uMWERERERERERERERERERER\nEREREREREREREREREREREZEeVoE9oEa/4CQiIjmlkvSPsDwD+1GXnlZB8pPfarBfEzo04PUUAEMC\nXmZHtgLuIP60xC+AF4Fv93A5RHJGfqYLIJKFPP/V0wqxZxa3ZRes0h4C/Bb4F/ZM/8UBrb8Z+8nK\nnvQY9gMUZwGfAFsDk+neVn9HcRYRkRzT1rOnzyC5xT0OeAn7IZMN2LOGKxKm7wI8g/1QzkrgQaxi\nipkGPAVcgj3P+Ys2ylNB6y7scf64Yx3XdzD23OjUCvFaYG4769kPmIn9mM1SrHU8wJ92qL+u2K+I\njfHff2fC+6/GfiI0nXJ//gPbmB5T6JdzCdYqXwRcmDB9f+BN7DnPX2C/vZ7485qVfrlvwk5M3vTH\nd/T9iGQl/WyfSNc9iP2Qwjewn3i8EqtYAIYBrwDv+dMPAkqBJ4BQwjImYz8TebA/T3ti7+sPnIm1\nkN91WB/YCcZX2C8PJS7vFOD+NtY3Dngea9nvjp0k7En8x2yqsNby3v5whb+OioRlVGAnQunU+q+j\ngKI25gH4K/b7xD/DfqjidGCNP+1rwHPYTwLvif2y4MnYL5wl+gHWizIJ+/161+9HRERywP+3d+eg\nVURRGMf/KYxBRBRttBCXuBWKGheIWypFjBaClYWWYikWWrkh4o64L2gIEQKihVgouETcBRXUxgUU\nRQVBcEtwRYvvDu9m8mYyz0YC3w8eyXt3Zu7MBHLmnHvnTdGM+xMKAuVsRGO1sQEow0wCXRPK9HqR\nryGs9yW8fqPMcnaF/e1EwSoxE/gFDEn1k2TczcCx1DYnhmUGhfe3gDXh9xb05LUOlLn2QRcy9TnH\nthj4gLLlm8B2YFrUPir0Nzdj/c3Ak9Rny0K/NeF9G6ULnETe+Zqas79m/50zbrN/twsFtkvoWbpj\norY6FFi/RK9XKOsbGS33GGXORTQAk1BG2Rtl65X0dxKYQemZyEtRUHub0V8dylTjbV5PbbONUoY9\nG2W/d9Az0OvRhcHdnGM6gy4cFoZ164HbwNrQPgkF06ysfVxYPnYDlddro8/ulTm2rPM1Imd/zf47\nT04z6+ozGn9N64+y7MQGFAznA/NQqXwFer51FXAOWF1mO/EEsI4K9usFmpz2HGWTR1GZ+2XB/u6j\nZ/0uRdn3kozlE1Whj91l2pJgfxU9O3gs0A8FyDYUuN+jLPpXN8f1HWW/F4FNoc/1KPvuzh+yS9t/\nop/tqbaifx8zM+sBtqFMOK2ZruXV2AGU7YEmZT0l/+K4CU1O604DXSeNVaEAvq+C/kCZ7COU4Xag\ncd2sflrIznQTfdEM7eOUjmUO8Ay4hioRlVqFhgP6AqPDPs3LWDY57jh4L6dzqbzc0EfR82VmZj3A\ncBTU9qJJWWPQxKgflAJIDbAfBalhwHQ00elIaB+Mxq9PozHbEeje5MOUgmUT/x64QZluOzCwYH8A\nQ1FQfAC0dtPP+LD9g6hkXQs0AodS691C52ZVeF+Dxqx/kj++PRC4jCoAE9B5X4LG7y9Ey7UCr9F4\n+HBgFirhg8rsX8M+jgMWAO/onK230fW+/KLny8zMeogpwHkURD6i4LQoau+FyuTJF4e8QQEt/qdf\nC5xC5e0OVKbeQ2ky2gngbIF9aUDBNh24+6CJXesK9pe4GrbXWKCfOjT2/AkFyIeojB3bEtabHH12\nBY0b52W01Why2d2wz+0oC95B56GKamAruh3tG6o0rIzaZ6Fx7uQLXHbS+ZizJhsWPV9mZmZmZmZm\nZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZWkb+rOpBfCK891AAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x17a2bf98>"
       ]
      }
     ],
     "prompt_number": 35
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "And then we compute the correlation between the two data sets."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'Correlation between User Reviews and Critics Reviews: ', all_rvs['Giant Bomb Score'].corr(all_rvs['User Review Score'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Correlation between User Reviews and Critics Reviews:  "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0.704367844191\n"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "There is a strong correlation between user reviews and critics reviews."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}