Exploring around video games.. possible Idea.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import warnings\n",
    "from datetime import datetime\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Follow the cleaning `sed` instructions from the main file. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "video_games = pd.read_json('../../Data/reviews_Video_Games_5.json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asin</th>\n",
       "      <th>helpful</th>\n",
       "      <th>overall</th>\n",
       "      <th>reviewText</th>\n",
       "      <th>reviewTime</th>\n",
       "      <th>reviewerID</th>\n",
       "      <th>reviewerName</th>\n",
       "      <th>summary</th>\n",
       "      <th>unixReviewTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0700099867</td>\n",
       "      <td>[8, 12]</td>\n",
       "      <td>1</td>\n",
       "      <td>Installing the game was a struggle (because of...</td>\n",
       "      <td>07 9, 2012</td>\n",
       "      <td>A2HD75EMZR8QLN</td>\n",
       "      <td>123</td>\n",
       "      <td>Pay to unlock content? I don't think so.</td>\n",
       "      <td>1341792000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0700099867</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>4</td>\n",
       "      <td>If you like rally cars get this game you will ...</td>\n",
       "      <td>06 30, 2013</td>\n",
       "      <td>A3UR8NLLY1ZHCX</td>\n",
       "      <td>Alejandro Henao \"Electronic Junky\"</td>\n",
       "      <td>Good rally game</td>\n",
       "      <td>1372550400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0700099867</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>1</td>\n",
       "      <td>1st shipment received a book instead of the ga...</td>\n",
       "      <td>06 28, 2014</td>\n",
       "      <td>A1INA0F5CWW3J4</td>\n",
       "      <td>Amazon Shopper \"Mr.Repsol\"</td>\n",
       "      <td>Wrong key</td>\n",
       "      <td>1403913600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0700099867</td>\n",
       "      <td>[7, 10]</td>\n",
       "      <td>3</td>\n",
       "      <td>I got this version instead of the PS3 version,...</td>\n",
       "      <td>09 14, 2011</td>\n",
       "      <td>A1DLMTOTHQ4AST</td>\n",
       "      <td>ampgreen</td>\n",
       "      <td>awesome game, if it did not crash frequently !!</td>\n",
       "      <td>1315958400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0700099867</td>\n",
       "      <td>[2, 2]</td>\n",
       "      <td>4</td>\n",
       "      <td>I had Dirt 2 on Xbox 360 and it was an okay ga...</td>\n",
       "      <td>06 14, 2011</td>\n",
       "      <td>A361M14PU2GUEG</td>\n",
       "      <td>Angry Ryan \"Ryan A. Forrest\"</td>\n",
       "      <td>DIRT 3</td>\n",
       "      <td>1308009600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         asin  helpful  overall  \\\n",
       "0  0700099867  [8, 12]        1   \n",
       "1  0700099867   [0, 0]        4   \n",
       "2  0700099867   [0, 0]        1   \n",
       "3  0700099867  [7, 10]        3   \n",
       "4  0700099867   [2, 2]        4   \n",
       "\n",
       "                                          reviewText   reviewTime  \\\n",
       "0  Installing the game was a struggle (because of...   07 9, 2012   \n",
       "1  If you like rally cars get this game you will ...  06 30, 2013   \n",
       "2  1st shipment received a book instead of the ga...  06 28, 2014   \n",
       "3  I got this version instead of the PS3 version,...  09 14, 2011   \n",
       "4  I had Dirt 2 on Xbox 360 and it was an okay ga...  06 14, 2011   \n",
       "\n",
       "       reviewerID                        reviewerName  \\\n",
       "0  A2HD75EMZR8QLN                                 123   \n",
       "1  A3UR8NLLY1ZHCX  Alejandro Henao \"Electronic Junky\"   \n",
       "2  A1INA0F5CWW3J4          Amazon Shopper \"Mr.Repsol\"   \n",
       "3  A1DLMTOTHQ4AST                            ampgreen   \n",
       "4  A361M14PU2GUEG        Angry Ryan \"Ryan A. Forrest\"   \n",
       "\n",
       "                                           summary  unixReviewTime  \n",
       "0         Pay to unlock content? I don't think so.      1341792000  \n",
       "1                                  Good rally game      1372550400  \n",
       "2                                        Wrong key      1403913600  \n",
       "3  awesome game, if it did not crash frequently !!      1315958400  \n",
       "4                                           DIRT 3      1308009600  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "video_games.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "review_count_by_person = video_games['reviewerID'].value_counts()\n",
    "bins , category_values = pd.cut(review_count_by_person,500 , labels = range(500) , retbins= True)\n",
    "num_persons_per_cat = pd.Series(bins.values).value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_persons_per_cat[50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "data": {
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AGBXXDMhqrW99juXfeIH7fzHJLz7H+seSfGxF1Y2gmzutlKKDDAAAAGBUrOYUS57DlsmJ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\nBgAAAIw2ARnX5a6Dgzlktlk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      "text/plain": [
       "<matplotlib.figure.Figure at 0xc66a28bba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%pylab inline\n",
    "plt.figure(figsize = (21,10));\n",
    "plt.plot(num_persons_per_cat.values[2:50]);\n",
    "plt.xticks([int(x) for x in category_values[2:50]]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**IDEA** : From the data exploration above, it looks like the first 50 categories have more than ~3 persons per category. We can \n",
    "look how the helpfullness and the length of review varies between people who write many reviews and those who don't. What say?"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}