{
 "metadata": {
  "name": "Powerpoetry Analysis"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Powerpoetry Analysis"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This analysis attempts to measure the progress of Powerpoetry users, an online poetry platform, along several dimensions including rhyming, ngrams and word frequencies such as positive/negative sentiment or use of abstract words and political words among others. The data analyzed contains 128000 poems spanning from Aug-2012 to Feb-2014, during which the platform has experienced an exponential growth path.\n",
      "\n",
      "We see some evidence that the poets use more rhyming in their poems more as they progress, as evidenced from the beta distribution of slant rhyme frequency. There is also some evidence to suggest that poets make less spelling mistakes, use more abstract words, and utilize more words connoting overconfidence. Less grammatical errors is certainly something desirable. An increase in frequency of abstract words might indicate an increasing sophistication in poetic skills. In addition, an increase in the overconfidence metric might suggest that the poets become more confident about their feelings and express them more explicitly as they become more proficient. Because the analysis targets return users, which is a small subset of entire user base, the findings might not generalize well onto the larger population. \n",
      "\n",
      "Secondly, we ask the question whether poems posted from richer neighborhoods show higher literacy characteristics compared to the ones from poorer neighborhoods. We utilize Powerpoetry data that includes user location information on the ZIP code level. We enrich the dataset by appending Census demographics data by Tract Level to approximate the income levels for the given user. The analysis suggests that higher income levels might be associated with better literacy skills. There are two caveats associated with this finding. First, the zip-code / tract-level location might not be granular enough and come with a high variance in terms of income levels. Thus, the median income level might not be a good representation for the income level of given poet. Secondly, trigram frequency might not be the best metrics to measure the language sophistication. In the future iterations, we might need to design a more refined metric to measure the literacy levels given the poem. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "import json\n",
      "import pandas as pd\n",
      "from itertools import *\n",
      "from matplotlib import cm\n",
      "import numpy as np\n",
      "from scipy import stats\n",
      "import statsmodels.api as sm\n",
      "import matplotlib\n",
      "from matplotlib import pyplot as plt\n",
      "from IPython.core.pylabtools import figsize\n",
      "\n",
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR: Line magic function `%matplotlib` not found."
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "poetry_features = pd.read_csv('data/poetry_features.csv')\n",
      "#Dropping the missing data\n",
      "poetry_features = poetry_features.dropna(axis=0)\n",
      "poetry_features = poetry_features.drop(['punctFreq','alliterFreq','unigramFreq'],axis=1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Powerpoetry has experienced a substantial jump in traffic with 10000 poems on average added to the website on a monthly basis in latter part of 2013."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from datetime import datetime\n",
      "dt = [datetime.utcfromtimestamp(poetry_features.created.iloc[n]) for n,line in enumerate(poetry_features.created)]\n",
      "pi = pd.PeriodIndex([pd.Period(d,'D') for d in dt])\n",
      "monthly_ = pd.DataFrame(np.ones(len(pi)),index=pi).resample('M',how='sum')\n",
      "\n",
      "ax = monthly_.plot(kind='bar',color=[\"#7A68A6\"],label='test',alpha=0.7)\n",
      "ax.set_ylabel('Number of Poems')\n",
      "ax.set_xlabel('Month')\n",
      "ax.set_title('Number of Poems posted on the Powerpoetry website')\n",
      "\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "<matplotlib.text.Text at 0x10c9eda50>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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jtrq1GPtWKF7Etq8AlDgIgiAII6ExDoIwMUKqW9O7QYSNkPaVDnkfB0EQwoPe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\nRIr8BYqG6ZyD2QFzAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\n",
      "\n",
      "\n",
      "Here is a brief description for each variable in our feature space. The data is available upon request.\n",
      "\n",
      "Rhyming:\n",
      "\n",
      "     'perfectRhymeFreq': Frequency of perfect rhyming in the poem.\n",
      "    \n",
      "     'slantRhymeFreq' : Frequency of slant rhyming in the poem.\n",
      "    \n",
      "     'alliterFreq': Frequency of alliteration rhyming in the poem.\n",
      " \n",
      " Word Frequencies:\n",
      " \n",
      " Please refer to [Harvard General Inquirer](http://www.wjh.harvard.edu/~inquirer/)  for more details.\n",
      "\n",
      "     'ABS' : Frequency of abstract words in the poem.\n",
      "    \n",
      "     'EnlTot',: Frequency of words referring to knowledge, insight, and information concerning personal and cultural relations.\n",
      "    \n",
      "     'Female': Frequency of words referring to women and social roles associated with women\n",
      "    \n",
      "     'Male' : Frequency of words referring men to  and social roles associated with men\n",
      "    \n",
      "     'Object': References to objects\n",
      "    \n",
      "     'Polit': Freqency of words having a clear political character, including political roles, collectivities, acts, ideas, ideologies, and symbols.\n",
      "    \n",
      "     'Race': Frequency of words referring to racial or ethnic characteristics.\n",
      "    \n",
      "     'Relig': Words pertaining to religious, metaphysical, supernatural or relevant philosophical matters.\n",
      "    \n",
      "     'St': Word connoting overstated / understated expressions\n",
      "    \n",
      "     'WlbPhycs': Words connoting the physical aspects of well being, including its absence.\n",
      "    \n",
      "     'WlbPsyc': Words connoting the psychological aspects of well being, including its absence.\n",
      "    \n",
      "     'PosNeg': 'Words with positive and negative outlook'\n",
      "\n",
      "Ngrams: \n",
      "\n",
      "[COCA](http://corpus.byu.edu/) Corpus was used in the analysis.\n",
      "\n",
      "     'unigramFreq': Average occurrence of a word in the poem in the English language in terms of percentage.\n",
      "    \n",
      "     'bigramFreq' : Log average occurrence count of combination of two words in the poem in the English language\n",
      "    \n",
      "     'trigramFreq': Log average occurrence count of combination of three words in the poem in the English language\n",
      "    \n",
      "     'misspeltWord': Frequnecy of misspelt words in the poem.\n",
      "    \n",
      "     'sentence_count': Sentence count in the poem.\n",
      "    \n",
      "     'wordCount': Log word count in the poem.\n",
      "    \n",
      "     'punctFreq': Punctutation frequency in the poem.\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "One of our takeaways in the process was the prevalence of dumping behavior for most Powerpoetry users, which is defined as posting multiple poems in a short time frame. We think that the users post lot of poems at once to increase their chances in competitions that occasionally take place on the website. Because the progress in the analysis is measured over sequence of poems posted, we want to control for this behavior by taking the mean of multiple entries on the same day. Although this is not the perfect way to correct for the bias, we think that it would still allow to measure progress.\n",
      "\n",
      "The code below achieves this correction."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Daily Period Index\n",
      "poetry_features['periodindex'] = pd.PeriodIndex([pd.Period(d,'D') for d in dt])\n",
      "\n",
      "#Group By user id and PeriodIndex. Take the Mean to take into account dumping behavior.\n",
      "grouped = poetry_features.groupby(['uid','periodindex']).aggregate(np.mean).sort_index()\n",
      "ut = grouped.index\n",
      "\n",
      "#Reindex to count from date \n",
      "count_ = pd.DataFrame(grouped.index.tolist())[0].value_counts().sort_index()\n",
      "count = [i+1 for user,x in count_.iteritems() for i in range(x)]\n",
      "\n",
      "#Create indexes with user id, period and poem number to be used later in the analysis>\n",
      "\n",
      "nix = [(u[0],u[1],c)for c,u in zip(count,ut)]\n",
      "nth =  [x[2] for x in nix]\n",
      "uids = [x_[0] for x_ in nix]\n",
      "\n",
      "grouped.index = uids #Change the index to user IDs.\n",
      "\n",
      "\n",
      "#Clean nonrequired columns and admin uids. \n",
      "def clean(df):\n",
      "\t#Clean. #Drop User == 1 and 0 and 4. These users represent admin. \n",
      "\ttry:\n",
      "\t\tdf = df.drop(['created','nid'],axis=1)\n",
      "\t\tdf = df.drop([(0,),(1,),(4,)])\n",
      "\texcept:\n",
      "\t\tpass\n",
      "\treturn df\n",
      "\n",
      "grouped = clean(grouped)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Next, we normalize the dataset."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "grouped = (grouped - grouped.mean()) / grouped.std()\n",
      "grouped.describe()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>ABS</th>\n",
        "      <th>EnlTot</th>\n",
        "      <th>Female</th>\n",
        "      <th>Male</th>\n",
        "      <th>Object</th>\n",
        "      <th>Polit</th>\n",
        "      <th>PosNeg</th>\n",
        "      <th>Race</th>\n",
        "      <th>Relig</th>\n",
        "      <th>St</th>\n",
        "      <th>WlbPhycs</th>\n",
        "      <th>WlbPsyc</th>\n",
        "      <th>bigramFreq</th>\n",
        "      <th>misspeltWord</th>\n",
        "      <th>perfectRhymeFreq</th>\n",
        "      <th>sentence_count</th>\n",
        "      <th>slantRhymeFreq</th>\n",
        "      <th>trigramFreq</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "      <td> 8.754000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
        "      <td> 8.949534e-14</td>\n",
        "      <td>-6.799932e-14</td>\n",
        "      <td>-9.954595e-16</td>\n",
        "      <td> 6.218333e-15</td>\n",
        "      <td> 9.712513e-14</td>\n",
        "      <td> 7.529647e-14</td>\n",
        "      <td> 7.894048e-16</td>\n",
        "      <td> 5.525278e-15</td>\n",
        "      <td>-9.099533e-15</td>\n",
        "      <td> 1.999176e-14</td>\n",
        "      <td> 7.724482e-14</td>\n",
        "      <td> 3.370139e-14</td>\n",
        "      <td> 6.606466e-15</td>\n",
        "      <td>-9.997251e-15</td>\n",
        "      <td>-1.274752e-14</td>\n",
        "      <td>-7.508537e-15</td>\n",
        "      <td>-5.560997e-14</td>\n",
        "      <td>-7.939848e-14</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "      <td> 1.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
        "      <td>-1.462259e+00</td>\n",
        "      <td>-1.859203e+00</td>\n",
        "      <td>-4.063208e-01</td>\n",
        "      <td>-4.393735e-01</td>\n",
        "      <td>-1.589036e+00</td>\n",
        "      <td>-9.381900e-01</td>\n",
        "      <td>-1.855670e+01</td>\n",
        "      <td>-2.724788e-01</td>\n",
        "      <td>-5.004543e-01</td>\n",
        "      <td>-1.093147e+01</td>\n",
        "      <td>-1.090928e+00</td>\n",
        "      <td>-7.766160e-01</td>\n",
        "      <td>-1.347624e+01</td>\n",
        "      <td>-5.741156e-01</td>\n",
        "      <td>-5.568874e-01</td>\n",
        "      <td>-7.019004e-01</td>\n",
        "      <td>-1.092530e+00</td>\n",
        "      <td>-7.043686e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
        "      <td>-6.164054e-01</td>\n",
        "      <td>-6.261912e-01</td>\n",
        "      <td>-4.063208e-01</td>\n",
        "      <td>-4.393735e-01</td>\n",
        "      <td>-6.322019e-01</td>\n",
        "      <td>-6.156999e-01</td>\n",
        "      <td>-5.352067e-01</td>\n",
        "      <td>-2.724788e-01</td>\n",
        "      <td>-5.004543e-01</td>\n",
        "      <td>-5.839927e-01</td>\n",
        "      <td>-6.394884e-01</td>\n",
        "      <td>-7.766160e-01</td>\n",
        "      <td>-3.804559e-01</td>\n",
        "      <td>-5.741156e-01</td>\n",
        "      <td>-5.568874e-01</td>\n",
        "      <td>-6.153846e-01</td>\n",
        "      <td>-8.211124e-01</td>\n",
        "      <td>-3.470040e-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
        "      <td>-1.367221e-01</td>\n",
        "      <td>-1.277747e-01</td>\n",
        "      <td>-4.063208e-01</td>\n",
        "      <td>-4.393735e-01</td>\n",
        "      <td>-1.286048e-01</td>\n",
        "      <td>-2.082836e-01</td>\n",
        "      <td>-2.952130e-02</td>\n",
        "      <td>-2.724788e-01</td>\n",
        "      <td>-5.004543e-01</td>\n",
        "      <td>-3.132642e-02</td>\n",
        "      <td>-1.762670e-01</td>\n",
        "      <td>-2.101063e-01</td>\n",
        "      <td> 4.435616e-02</td>\n",
        "      <td>-2.316264e-01</td>\n",
        "      <td>-5.568874e-01</td>\n",
        "      <td>-2.693216e-01</td>\n",
        "      <td>-1.421871e-01</td>\n",
        "      <td> 1.299220e-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
        "      <td> 4.252693e-01</td>\n",
        "      <td> 4.688730e-01</td>\n",
        "      <td>-1.070770e-01</td>\n",
        "      <td>-2.010037e-02</td>\n",
        "      <td> 4.663858e-01</td>\n",
        "      <td> 3.200626e-01</td>\n",
        "      <td> 5.113170e-01</td>\n",
        "      <td>-2.724788e-01</td>\n",
        "      <td> 1.919454e-01</td>\n",
        "      <td> 5.243673e-01</td>\n",
        "      <td> 3.933500e-01</td>\n",
        "      <td> 3.317364e-01</td>\n",
        "      <td> 4.898397e-01</td>\n",
        "      <td> 1.867022e-01</td>\n",
        "      <td> 2.179439e-01</td>\n",
        "      <td> 2.497730e-01</td>\n",
        "      <td> 5.366295e-01</td>\n",
        "      <td> 5.435602e-01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
        "      <td> 3.681263e+01</td>\n",
        "      <td> 1.372365e+01</td>\n",
        "      <td> 1.994226e+01</td>\n",
        "      <td> 1.393905e+01</td>\n",
        "      <td> 3.012319e+01</td>\n",
        "      <td> 2.185111e+01</td>\n",
        "      <td> 1.805389e+01</td>\n",
        "      <td> 3.205956e+01</td>\n",
        "      <td> 2.601911e+01</td>\n",
        "      <td> 2.241015e+01</td>\n",
        "      <td> 1.944956e+01</td>\n",
        "      <td> 3.773863e+01</td>\n",
        "      <td> 4.076357e+00</td>\n",
        "      <td> 3.022013e+01</td>\n",
        "      <td> 1.462618e+01</td>\n",
        "      <td> 9.636878e+01</td>\n",
        "      <td> 1.031159e+01</td>\n",
        "      <td> 3.823251e+00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "                ABS        EnlTot        Female          Male        Object  \\\n",
        "count  8.754000e+04  8.754000e+04  8.754000e+04  8.754000e+04  8.754000e+04   \n",
        "mean   8.949534e-14 -6.799932e-14 -9.954595e-16  6.218333e-15  9.712513e-14   \n",
        "std    1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00   \n",
        "min   -1.462259e+00 -1.859203e+00 -4.063208e-01 -4.393735e-01 -1.589036e+00   \n",
        "25%   -6.164054e-01 -6.261912e-01 -4.063208e-01 -4.393735e-01 -6.322019e-01   \n",
        "50%   -1.367221e-01 -1.277747e-01 -4.063208e-01 -4.393735e-01 -1.286048e-01   \n",
        "75%    4.252693e-01  4.688730e-01 -1.070770e-01 -2.010037e-02  4.663858e-01   \n",
        "max    3.681263e+01  1.372365e+01  1.994226e+01  1.393905e+01  3.012319e+01   \n",
        "\n",
        "              Polit        PosNeg          Race         Relig            St  \\\n",
        "count  8.754000e+04  8.754000e+04  8.754000e+04  8.754000e+04  8.754000e+04   \n",
        "mean   7.529647e-14  7.894048e-16  5.525278e-15 -9.099533e-15  1.999176e-14   \n",
        "std    1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00   \n",
        "min   -9.381900e-01 -1.855670e+01 -2.724788e-01 -5.004543e-01 -1.093147e+01   \n",
        "25%   -6.156999e-01 -5.352067e-01 -2.724788e-01 -5.004543e-01 -5.839927e-01   \n",
        "50%   -2.082836e-01 -2.952130e-02 -2.724788e-01 -5.004543e-01 -3.132642e-02   \n",
        "75%    3.200626e-01  5.113170e-01 -2.724788e-01  1.919454e-01  5.243673e-01   \n",
        "max    2.185111e+01  1.805389e+01  3.205956e+01  2.601911e+01  2.241015e+01   \n",
        "\n",
        "           WlbPhycs       WlbPsyc    bigramFreq  misspeltWord  \\\n",
        "count  8.754000e+04  8.754000e+04  8.754000e+04  8.754000e+04   \n",
        "mean   7.724482e-14  3.370139e-14  6.606466e-15 -9.997251e-15   \n",
        "std    1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00   \n",
        "min   -1.090928e+00 -7.766160e-01 -1.347624e+01 -5.741156e-01   \n",
        "25%   -6.394884e-01 -7.766160e-01 -3.804559e-01 -5.741156e-01   \n",
        "50%   -1.762670e-01 -2.101063e-01  4.435616e-02 -2.316264e-01   \n",
        "75%    3.933500e-01  3.317364e-01  4.898397e-01  1.867022e-01   \n",
        "max    1.944956e+01  3.773863e+01  4.076357e+00  3.022013e+01   \n",
        "\n",
        "       perfectRhymeFreq  sentence_count  slantRhymeFreq   trigramFreq  \n",
        "count      8.754000e+04    8.754000e+04    8.754000e+04  8.754000e+04  \n",
        "mean      -1.274752e-14   -7.508537e-15   -5.560997e-14 -7.939848e-14  \n",
        "std        1.000000e+00    1.000000e+00    1.000000e+00  1.000000e+00  \n",
        "min       -5.568874e-01   -7.019004e-01   -1.092530e+00 -7.043686e+00  \n",
        "25%       -5.568874e-01   -6.153846e-01   -8.211124e-01 -3.470040e-01  \n",
        "50%       -5.568874e-01   -2.693216e-01   -1.421871e-01  1.299220e-01  \n",
        "75%        2.179439e-01    2.497730e-01    5.366295e-01  5.435602e-01  \n",
        "max        1.462618e+01    9.636878e+01    1.031159e+01  3.823251e+00  "
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Number of poems used in the analysis before/after dumping behavior."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'Number of poems {0} on the website'.format(len(poetry_features))\n",
      "print 'Number of poems {0} on the website after dumping behavior is taken into account'.format(len(grouped))\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of poems 127023 on the website\n",
        "Number of poems 87540 on the website after dumping behavior is taken into account\n"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Number of poets posted on the website,\n",
      "print 'Number of poets {0} on the website'.format(len(set(poetry_features.uid)))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of poets 69752 on the website\n"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Let's start with some explanatory analysis. First chart shows the number of return poems on the site on a monthly basis. The goal of measuring the user progress puts the user profile in the heart of our analysis. There seems to be approximately 1500 return users on a monthly basis."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#Count the number of returns\n",
      "return_traffic = pd.DataFrame(map((lambda x: (x[1], int(x[2] > 1))),nix)).groupby(0).sum().resample('M',how='sum')\n",
      "#Count the number of first timers.\n",
      "#first_time_traffic = pd.DataFrame(map((lambda x: (x[1], int(x[2] == 1))),nix)).groupby(0).sum().resample('M')\n",
      "#Merge\n",
      "traffic = pd.concat([return_traffic],axis=1)\n",
      "traffic.columns = ['return']\n",
      "\n",
      "ax = traffic.plot(kind='bar',color=[\"#7A68A6\"],label='test',alpha=0.7)\n",
      "ax.set_ylabel('Number of Visitors')\n",
      "ax.set_xlabel('Month')\n",
      "ax.set_title('Breakdown of return visitors to Powerpoetry website')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "<matplotlib.text.Text at 0x10f701350>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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z9PQfHq78/opxlfXM9admPIEBIWbFU51+xTgRvh+t40lOTsbq1asBQPm9NIaO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\n"
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Compared to number of first time poems, which seems to hover around 5000. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "first_time_traffic = pd.DataFrame(map((lambda x: (x[1], int(x[2] == 1))),nix)).groupby(0).sum().resample('M',how='sum')\n",
      "traffic = pd.concat([first_time_traffic],axis=1)\n",
      "traffic.columns = ['first time']\n",
      "\n",
      "ax = traffic.plot(kind='bar',color=[\"#7A68A6\"],label='test',alpha=0.7)\n",
      "ax.set_ylabel('Number of Visitors')\n",
      "ax.set_xlabel('Month')\n",
      "ax.set_title('Breakdown of first time visitors to Powerpoetry website')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "<matplotlib.text.Text at 0x112b63e10>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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aGnpLCWqGYRjGOvh9EAwjEjzN1Tx8bt5+JDWCYBiGqcfFxeW2TEhh/oeLi0uL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\nB6H+2xPf/C/lAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Let's also see the distribution of number of poems submitted for each user. The distribution does exhibit log-log charactertics. One user singlehandidly has posted 377 poems on the website. The chart also makes it clear that overwhelming number of poets posted only only one poem."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nthpoem = np.array([i[2] for i in nix])\n",
      "bin_counts_cumulative = np.bincount(nthpoem)[1:][::-1] #Reverse Order\n",
      "bin_counts = [bin_count - bin_counts_cumulative[i-1] for i, bin_count in enumerate(bin_counts_cumulative) if i > 0] #Skip the first number\n",
      "bin_counts = [bin_counts_cumulative[0]] +  bin_counts #Append the first entry back\n",
      "bin_counts.reverse() #Reverse\n",
      "ind  = range(1,1 + len(bin_counts)) #the x Locations for the groups\n",
      "\n",
      "for i, n in enumerate(bin_counts):\n",
      "\tif i < 20:\n",
      "\t\tprint 'number of poets who posted {0} poem(s) : {1}'.format(i,n)\n",
      "#Chart the distribution\n",
      "fig, ax = plt.subplots()\n",
      "ax.bar(ind,bin_counts,color=[\"#7A68A6\"],alpha=0.7)\n",
      "ax.set_ylabel('Number of poets')\n",
      "ax.set_xlabel('Number of poems')\n",
      "ax.set_title('Distribution of Activity of Poets')\n",
      "ax.annotate('Hello most active user !', xy=(ind[-1], 1), xytext=(300, 20000),\n",
      "            arrowprops=dict(facecolor='black', shrink=0.05))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "number of poets who posted 0 poem(s) : 59987\n",
        "number of poets who posted 1 poem(s) : 6723\n",
        "number of poets who posted 2 poem(s) : 1611\n",
        "number of poets who posted 3 poem(s) : 675\n",
        "number of poets who posted 4 poem(s) : 282\n",
        "number of poets who posted 5 poem(s) : 159\n",
        "number of poets who posted 6 poem(s) : 79\n",
        "number of poets who posted 7 poem(s) : 52\n",
        "number of poets who posted 8 poem(s) : 30\n",
        "number of poets who posted 9 poem(s) : 21\n",
        "number of poets who posted 10 poem(s) : 27\n",
        "number of poets who posted 11 poem(s) : 22\n",
        "number of poets who posted 12 poem(s) : 13\n",
        "number of poets who posted 13 poem(s) : 10\n",
        "number of poets who posted 14 poem(s) : 7\n",
        "number of poets who posted 15 poem(s) : 5\n",
        "number of poets who posted 16 poem(s) : 6\n",
        "number of poets who posted 17 poem(s) : 2\n",
        "number of poets who posted 18 poem(s) : 10\n",
        "number of poets who posted 19 poem(s) : 2\n"
       ]
      },
      {
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "<matplotlib.text.Annotation at 0x1110a7550>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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A8PBwpKSkoKKiAllZWdDpdNBqtXB3d0eHDh2wb98+iAhWr16NcePGqXXq2tqwYYO6/M61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\nXTZA2wAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Progress"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Below we will measure the language progress in three dimensions. First, we will calculate the progress for each user in each feature and look at the distribution of betas. A frequency distribution with a mean that is statistically significant from zero might imply progress on average given the particular feature. Secondly, we will take the median score for each poem in the sequence (1st poem, 2nd poem etc) and fit a linear model. A slope that is significant and non-zero might be a sign that the users show some improvement on average. Third, we will employ a A/B test to discern the difference between first set of poems and latter set of poems.  "
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "(i) Distribution of Betas\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "For the analysis we only consider poets who posted at least 10 poems. We then measure the beta for each user in each feature (trigram, bigram, PosNeg etc) and analyze the distribution for each feature. \n",
      "\n",
      "There are 154 poets with at least 10 poems. We later will see that the result would differ with different cutoff points. \n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def seasoned(cut,nix,grouped):\n",
      "\tix = filter((lambda x: x[2] >=cut),nix) #seasoned poets with at least 10 poems posted\n",
      "\tunique_uids = np.unique([i[0] for i in ix])\n",
      "\tunique_nids = [ix_[2] for ix_ in nix if ix_[0] in unique_uids] #All the nids for seasoned\n",
      "\tfeatures_ = grouped.loc[unique_uids] #Feature set for seasoned poets.\n",
      "\t#print len(unique_uids)\n",
      "\treturn(features_, unique_nids, unique_uids)\n",
      "\n",
      "\n",
      "def distribution_betas(seasoned_poets,unique_uids):\n",
      "\t'Looping through the dataframe to retrieve the scores for each user at a time and calculate the progress'\n",
      "\tsig = 0\n",
      "\tbetas_user = np.zeros((len(unique_uids),seasoned_poets.shape[1])) \n",
      "\tfor x,uid in enumerate(unique_uids):\n",
      "\t\tscores = seasoned_poets.loc[uid]\n",
      "\t\t#Iterate over the score\n",
      "\t\tfor z,(feature,score) in enumerate(scores.iteritems()):\n",
      "\t\t\t#Regression coefficients\n",
      "\t\t\ty = score.values\n",
      "\t\t\tX = arange(len(score))+1\n",
      "\t\t\tX = sm.add_constant(X)\n",
      "\t\t\tres = sm.OLS(y,X).fit() #OLS\n",
      "\t\t\t#if x < 1: #Show for the first user\n",
      "\t\t\t#\tprint feature, uid\n",
      "\t\t\t#\tprint res.summary()\n",
      "\t\t\t# \n",
      "\t\t\tbetas_user[x,z] = res.params[1]\n",
      "\t\t\tif res.f_pvalue<0.05: #Take the beta with a p-value threshold! \n",
      "\t\t\t\tsig += 1\n",
      "\tprint '{0} significant results out of {1} regressions'.format(sig,x* z)\n",
      "\n",
      "\t#Chart Distribution of Betas\n",
      "\tfigsize(25, 10)\n",
      "\tfig = plt.figure()\n",
      "\t#Subplots within a single chart\n",
      "\tbetas_, columns_ = betas_user.T, seasoned_poets.columns\n",
      "\tfor k, (beta, column) in enumerate(zip(betas_,columns_)):\n",
      "\t\t    sx = plt.subplot(int(betas_.shape[0]/2+1), 2, k+1)\n",
      "\t\t    plt.rc('axes', color_cycle=['r', 'g', 'b', 'y'])\n",
      "\t\t    #plt.xlabel(seasoned_poets.columns[k])\n",
      "\t\t    #Label\n",
      "\t\t    plt.text(beta.min(), 40, 'average beta is {0}'.format(round(beta.mean(),2)), fontsize=15) \n",
      "\t\t    plt.setp(sx.get_yticklabels(), visible=False)\n",
      "\t\t    plt.hist(beta,color=cm.jet(1.*k/len(betas_)), alpha=0.4, bins= np.linspace(beta.min(), beta.max(), 20)) #beta is the all the betas for all the users for each matric.\n",
      "\t\t    plt.ylim(0,50)\n",
      "\t\t    plt.legend([column])\n",
      "\t\t    plt.vlines(0, 0, 500, color=\"k\", linestyles=\"--\", lw=1)\n",
      "\t\t    #Significance test\n",
      "\t\t    p_val = stats.ttest_1samp(beta, 0)[1]\n",
      "\t\t    if p_val < 0.10: plt.text(beta.min(), 30, 'statistically significant at {0}'.format(round(p_val,3)), fontsize=15) \n",
      "\t\t    #plt.autoscale(tight=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cut = 10\n",
      "seasoned_poets, unique_nids,unique_uids = seasoned(cut,nix,grouped) #Returns poems from poets with more than n poems. UID is the index\n",
      "distribution_betas(seasoned_poets,unique_uids)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "166 significant results out of 2601 regressions\n"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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BsRQWr6OjI1q0aAEvLy/ExcXB09OzyPPkqFOnDoYPH44BAwbgn3/+yTdN48aN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\nAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We see that around 7 percent of the betas are significant with a minimum number of 10 poems! Few things to note here. First, keep in mind that the features are normalized; so betas are somewhat comparable. Secondly, while for some measures positive beta translates to improvement, for others the oppositive is true. For example, we associate a descrease in trigram frequencies with improvement. The assumption is that the user is able to come up with unexpected combination of words as the languge skills improve. \n",
      "\n",
      "We perform a simple t-test to see whether the progress beta is statistically significantly different from zero. Although the mean betas are mostly close to zero, we see that poets rhyme their poems more as they progress, as evidenced from the beta distribution of slant rhyme frequency. Secondly, we see that the frequency of abstract words increases as poets post more. This is also significant but at 10% level. \n",
      "\n",
      "There is really no real reason to use at least 10 poems. If we extend the analysis onto different cutoff points (11,12,..) we see that ST and freqeuncy of misspelt words also show improvement. That is to say that poets make less spelling mistakes and utilize more words connoting overconfidence. Less grammatical errors is certainly something desirable. In addition, an increase in the ST metric might suggest that the poets become more confident about their feelings and express them more explicitly as they become more proficient."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cut = 12\n",
      "seasoned_poets, unique_nids,unique_uids = seasoned(cut,nix,grouped) #Returns poems from poets with more than n poems. UID is the index\n",
      "distribution_betas(seasoned_poets,unique_uids)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "112 significant results out of 1785 regressions\n"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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n54dTp07Vqiz9rT5t7ebmhqeffhr+/v7o0qWLtkI2SDW1c0pKCrp27YomTZpg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2OiZMmICgoCDY29tj2LBhqrWi+/Xrh8uXLyMxMREAsGXLFkRGRqotX/HWW2+p2m7evDl69eqF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\nIjIIB5qJiIiIiIiIiIiIyCD/H5pcgjrnlbGwAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "(ii) Linear Progress\n",
      "\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Next, we move to the estimation of the progression slope for each feature on average. This is done by taking the median score for nth poem across all poets before applying a linear fit. \n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def abbreviate(seasoned_poets,cut):\n",
      "\tseasoned_poets_abbreviated = seasoned_poets.copy()\n",
      "\tseasoned_poets_abbreviated.index = unique_nids\n",
      "\tseasoned_poets_abbreviated['nid'] = unique_nids\n",
      "\t#Filter by cutoff point. Take only nth poems up to cut\n",
      "\tfilter_ =  seasoned_poets_abbreviated['nid']<=cut\n",
      "\tseasoned_poets_abbreviated = seasoned_poets_abbreviated[filter_] #Take only the first 'cut' poems\n",
      "\tseasoned_poets_abbreviated = seasoned_poets_abbreviated.drop('nid',axis=1)\n",
      "\treturn seasoned_poets_abbreviated\n",
      "\n",
      "def average_progress_chart(seasoned_poets_abbreviated,unique_nids):\n",
      "\tfigsize(25, 10)\n",
      "\t#print seasoned_poets_abbreviated, ' poets in total'\n",
      "\tbetas_median_feature = np.zeros(seasoned_poets_abbreviated.shape[1])\n",
      "\tfig = plt.figure()\n",
      "\tsubplots_adjust(hspace=0.,wspace=0.) \n",
      "\tfor k,(column,feature) in enumerate(seasoned_poets_abbreviated.iteritems()):\n",
      "\t\t#Plot params\n",
      "\t\tsx = plt.subplot(int(betas_median_feature.shape[0]/2+1), 2, k+1)\n",
      "\t\tplt.rc('axes', color_cycle=['r', 'g', 'b', 'y'])\n",
      "\t\tplt.setp(sx.get_yticklabels(), visible=False)\n",
      "\t\t#Median for each poem number first\n",
      "\t\t#print column\n",
      "\t\tmedian_feature = feature.groupby(feature.index).median()\n",
      "\t\ty = median_feature.values\n",
      "\t\tX = median_feature.index\n",
      "\t\tX = sm.add_constant(X)\n",
      "\t\tres = sm.OLS(y,X).fit()\n",
      "\t\tbetas_median_feature[k] = res.params[1]\n",
      "\t\t#Plot the Progress\n",
      "\t\tplt.setp(sx.get_yticklabels(), visible=False)\n",
      "\t\tplt.text(1, y.max(), 'beta of the slope is {:10.4f} with p-value of {:10.4f}'.format(res.params[1],res.f_pvalue), fontsize=12) \n",
      "\t\t\n",
      "\t\t#Scatter\n",
      "\t\tsx = plt.scatter(X[:,1],y, alpha=0.9,marker=(6,0))\n",
      "\t\t#Line\n",
      "\t\tx_ = np.unique(X[:,1])\n",
      "\t\ty_ = (res.params[0] + res.params[1]*np.unique(X[:,1]))\n",
      "\t\t#Fit the Line of the regression\n",
      "\t\tcol = cm.jet(1.*k/len(betas_median_feature))\n",
      "\t\tplt.plot(x_,y_,color=col)\t\n",
      "\t\tplt.legend([column])\n",
      "\t\txlim(0,cut)\n",
      "\t\tplt.autoscale(tight=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Again, the choice of the cutoff point is somehow arbitrary. We face a trade-off. The higher the number, the longer we can extend the progress (on to 12th poem, 13th poem etc) but risk losing poets who have not posted the required minimum and hence a smaller number of poets who qualify. Since the distribution of poem count is highly skewed, a large cutoff number increases the risk of the result not generalizing well to the entire population. Here is a graph showing the tradeoff."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "npoems = []\n",
      "cutoff = []\n",
      "for i in range(8,30):\n",
      "\tseasoned_poets, unique_nids,unique_uids = seasoned(i,nix,grouped)\n",
      "\tseasoned_poets_abbreviated = abbreviate(seasoned_poets,i)\n",
      "\tcutoff.append(i)\n",
      "\tnpoems.append(seasoned_poets_abbreviated.shape[0]/i)\n",
      "fig, ax = plt.subplots()\n",
      "ax.plot(cutoff,npoems)\n",
      "ax.set_ylabel('Number of poets with at least minimum number of poems')\n",
      "ax.set_xlabel('Number of poems minimum')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "<matplotlib.text.Text at 0x112361350>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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S+kZ83bp1LR4OoNm2375+f3VtbTJ4cDJlStGJAAAAANiCimtA+vfvn/nz52fo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\nDQAAAABA4ZTVAAAAAAAUTlkNAAAAAEDhlNUAAAAAABROWQ0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      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Again, arbitrarily, setting the minimum number of poems at 12 looks plausible. Because there are still 100 poems who posted more than the required minimum and also an inference can be made using 12 points in a linear setting."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "i = 12\n",
      "seasoned_poets, unique_nids,unique_uids = seasoned(i,nix,grouped)\n",
      "seasoned_poets_abbreviated = abbreviate(seasoned_poets,i)\n",
      "average_progress_chart(seasoned_poets_abbreviated,unique_nids)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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Fhg4dKp5r8eLFkMvlcHZ2ho+PD/r06YP+/fsDAP73v/8hMDAQbdu2hY2NDUaO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xfMnz8/X5mm66s8X3eMMcbY+65mzaaIj/8GxsZ9IJefg0QyDPHxj3QdVpnhPIUVpDg5bvm9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\nAACrV6/G4cOHcfbsWcTFxcHa2hrjx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      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In lower cutoff points (i=12), we see that the users take strides in expressing themselves as ST feature (frequenct of overstated/understated expression) increases. We also find that the users seem to be using more abstract words as they post more poems.\n",
      "\n",
      "With a large required minimum (and fewer poets), we see that sentence count and frequency of political words show an increase. This might show us that users have more things to say as they write and they become political in doing so. Additionaly, using the mean score instead of median score reveals that the positivity of the poems on average improve with the poem count.\n",
      "\n",
      "On the other hand, we see a detoriation in the frequency of trigrams and bigrams in general. This is opposite of what we would have expected. It could be that our COCA dictionary is failing to pick up combination of less frequent words. In fact, we might need to run the numbers again to incorporate the latest version of COCA, which is much more comprehensive that the previous one that we used."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "i = 20\n",
      "seasoned_poets, unique_nids,unique_uids = seasoned(i,nix,grouped)\n",
      "seasoned_poets_abbreviated = abbreviate(seasoned_poets,i)\n",
      "average_progress_chart(seasoned_poets_abbreviated,unique_nids)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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fftiHunXfxqpV89C8eXOpw2JGICMjA5mZmWU6wcVYcSMiBATMx8aN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VJ8/HES5g6YVjEn0BhPvOSe3S5qBWJjY/D7xr/xYZ/34NvWB0AFjUNecKw6H1CWp2e3osj6\n8o4XXlZSXwmIQ6foalzvFyu3V8uHSHKZAkEegNzcKyAhA8Zp0UCOeekJ8eeaKFT/xxO3trbGjz9O\nR3h4KHJyrFGvnikWLfpO53EEBwfgxIlw5OSchqHhIbz9dlW4ubnpPA59MGLEBAB/wNCwKZ48OYAR\nI4brXRKYxwTW4tatW2jePBByeTRkMifk5PyCli3/xa5dG6UOjTHGGGOMVYDK2s5ljJWuYLInpVKJ\nzp07SzLZE3smMTERHTv2QEZGK6jVNWFg8AuWLp2FoKAAqUN7MxWMJ651XO8K6jH+QuOQaybSszLT\ncfrUWTx+9ABWlqbwbFIP9rZW5YjnOYd8gaxiemm/yMScz9H7OydXgZuJt1GvXiPI5IbP2fu7vAn6\n0scTv3PnDubP/wnt2rVAYGBgpf276ehYCwYGFyEIplCrH8HAoD2Sky/oPI7S2rhlJoGlmDVZakSE\nadNmY+HCNSCqDSenNCxfPhctWrSQOjTGGGOMMfYCnmfmZMZY5XTv3j0MGjQKJ0/eB2CAxo0tsXr1\njzq/E/Lp06dYsGARNm7chvDwofjwwz6Vdn6a7OxsLFjwE27eTEZExFhUr15d6pCYnkhISICHhwfk\ncnnFF64xdEppva0Lema/xHjhz5O4LjFBryh0zoost9DvGuOJl7e3dTmHJSl3Irwc5ZXYE72cyfeS\nerBrHKf97/E777RDcrIngIEAFqNu3SQcOrSj4utnGV4qCVyZG8eJiYk4deoUAgMDYWhoKHU4jDHG\nGGOsglT2di5jrLhVq1ZhzJh9MDZeBkDA06cjMHNmYwwbNkxnMSiVSnh6tsWDB+9ApeoFuXwB3n3X\nGevXL9FZDIwxpoGo5GS3mFwuISFe7ok3y9njvMQe5QVlljah5gv0YC92Df+Nf6wlUawW5MjKysXj\n9Fz89nAGRo0aJslY1aW1cQ10HMtrxd3dHe7u7lKHwRhjjDHGGGNMB+RyJwiCwX+/u+j8/Pn5+bhz\n5wFMTH6CgQGgVLrg4sWhOo+DMcZEwn/jRcMAr8N44q9c0fHE/0sgy0gFK1LCilSYYKafuUROAjPG\nGGOMsUopMjJS/L2yDHvGGCtZzZo1IZPNRV5eDRAZwdDwD9SuPVfncajVSqhUdyCXu0Cluq3z8zPG\n2OsmKSkJEyZMw717DzF79kQ0b9781Z1MkP03JIR+jBhQdMiz0vBwEIwxxhhjrNLhdi5jTJv4+HiM\nG/ct8vMVmDNnMho0aKDzGGbN+h7z5y+HStUMFhbn8cMP3yIoSL9mmGeMMX1x7tw5dO7cF/n5n4LI\nBQYG32HBgq/Qt2+w1KFJgoeDYIwxxhhjjDHGylCnTh1s3rxG0hjGj/8Cffv2wu7du9Gz50JYWVlJ\nGg9jhaWkpODKlSvo0KFDpZ2wkOmXpKQkCIIPjI1HAQCysx/i6tV4iaPST/yOZYwxxhhjjOlUcnIy\nQkM/Q8uW72Hfvn1Sh8OY3qlevToGDhzICWCmN9RqNb77bh6aNfNH374z0K5dIC5duiR1WIwBABSK\nByDKBRFBpUqROhy9VeZwEBEREeJjHiuNMcYYY4y9joqOlzZlyhQeDkIi8fHx8PUNQl7exyCqBwOD\naZg0KRQjR/LkV4wxpq8uX74MX98QyGRbIZM54+nT+fD3v4I//lghdWiskktPT8eQIV9i795LABxQ\nq5YSa9b8iDp16kgdmiReajiIwhNmMMYYY4wx9joq2plhypQp0gVTyd29exeC8DaMjccAAJ4+TcXV\nq+ckjooxxlhp1Go1DA3tAbgCAOTyRlAouCcwk56NjQ1++20FDh06hEePHiEwMJCHKikBjwnMGGOM\nMcYY06n8/IeQyzMhCBZQqW5BEKSOiDHGWGns7OxAdBv5+Qshk3lDLv8JHh6NpA6LMZGPj4/UIeg9\nTo0zxhhjjDHGdMbLyws9ezaBWt0OKlUgGjY8gOHDB0odFmOMsVK4uLjg8OEd6NDhFMzNB2H+/A8x\nb963UofFGHsOZY4JzGOlMcYYY4yxNw23c6V39uxZJCYmIiAgAHK5XOpwGGNM7z19+hQGBgYwMjKS\nOhTGmJ4qrY3LPYEZY4wxxiqJGzduYNy4STh69KjUoVR6Hh4eiImJkToMrQYOHAg7Ozu0atWqXPuH\nhYVh8uTJz30eT09PBAUFlSsBvGrVKrRt2/a5z1EaIsKuXbvQpUswNm/erPUDU6NGjbB///4KPW9l\nlpSUBEtLy1K/gJHJZLhx44YOoypbbGwsqlevrvPz3r9/H+3atYOVlRW++uornZ+f6Y/8/Hz89NMS\n1K7dHJ6efoiOjuYvMhljz03vk8DcQH4+r6KBXB7cQK54Q4cOxbRp00rcHhkZidDQUB1GVD5+fn5Y\nsUL3M8T+/PPPqFq1KqysrJCWlqbz8zPGmL77/vuf4O3dDUuXGqJbt88xcODnUKvVUoclqcjISHGJ\njY3V6bkFQYDwggPhenh4YM+ePRUc0TMHDhzA7t27cefOHa1fFmhra77MtUhpwIARCA2diaNHAzFk\nyGJ069av2D4XL15Eu3btdBpXXl4eBg0aBGtrazg7O+P7778vdf/169fD3d0dFhYW+OCDDzTaQaWV\nFRcXh6CgIFSpUgX29vbo3Lkz4uLitJ6jY8eOkMlkL/03w83NDZmZmWJ9kard+LpYunQpqlSpgidP\nnmDOnDkVXv7Zs2fRrFkzmJubo3nz5jh3ruwJGlNTU+Ho6Fjs78DWrVvRqFEjWFpawsfHB1euXBG3\nXbx4Ee+99x4cHR21Ttbk5+cHU1NTWFpawtLSEvXr13/5i3vDzJ//IyZP3g6l8m/cvz8DISHhOHTo\nkNRhMcb0QGxsrEabtjR6nwTmBvLrQVcN5KIf0GJiYlCvXj2Ym5ujQ4cOSEpKKvHY1NRUfPDBB7Cw\nsICHhwc2bNjw3GXl5+ejfv36xXoCTJ48GY0bN4ahoWGFzTb+888/Y9KkSQC09z7Q17okRT1XKBT4\n8ssvERMTgydPnsDW1rbCzzF+/Hg4ODjAwcEBEyZMKLa9cN180bpU0Dum8CKTycQPbLGxsZDJZBrb\nf/311wq/VvZm0XVii+mvX375HWr1GpiZRUAu34+//tqG3NxcyeLRh7pZuMHs5+cndTjl9iqHskhM\nTISHhwdMTExeSfn6ZP/+wxCE9TA17Qe5fAsOHz4saTwF74nIyEgkJCQgKSkJe/fuxezZs7Fr1y6t\nx1y6dAmfffYZ1q1bh/v378PMzAzDhg0Tt5dWVkZGBrp37464uDjcv38fLVq0QFBQULFzrFu3Dkql\n8pW07/S1PasvEhMTX1lCND8/H0FBQejfvz/S09MxYMAABAUFQaFQFNu38N/r8ePHo0GDBhqvXXx8\nPEJCQrB06VJkZGQgMDAQ3bp1g0qlAgAYGRkhODi4xIS/IAhYtGgRMjMzkZmZqZFAZs+kpz+BStUV\nBga1YWzsBwODJsjMzJQ6LMnpQ1uCsaJ0XS/9/PwqLgksZQ+Jl8UN5DdP4Tr46NEj9OzZE9OnT0da\nWhqaN2+ODz/8sMRjhw8fDhMTEzx48ADr1q3D0KFDcfny5ecqa86cOahSpUqxBmudOnUwZ84cdO3a\nVWeNWb7953/u3buH3NzcV9ZIXrJkCbZs2YLz58/j/Pnz2Lp1K5YsWaKxT0HdfJm6VNA7pmC5cOEC\nZDIZevbsKe7j6uqqsY8+9gZn+uV1+9/NXrWCdoux5MkXXdfN5+kloSvHjx9Hw4YNYWdnh0GDBiEv\nL0/ctm3bNnh6esLW1hY+Pj64cOECACA0NBRJSUkIDAyEpaUl5s6dCwDo3bs3nJ2dYWNjA19fX7GN\no82dO3fQrVs32Nvbo06dOli+fDkAYMWKFfjkk09w5MgRWFpaFvti+8qVKxg6dKi43c7OTtyWmpqK\ngIAAWFlZoVWrVhq381+9ehWdOnWCvb096tWrhz/++KPE2FatWoVatWrBysoKNWvWxPr167Xud/jw\nYXh5ecHGxgYtWrTAkSNHxG1+fn4IDw9Hy5YtYW1tje7du2v0jj169Chat26N27cv4PHjjsjL2we1\nWnsypXCnkuPHj6N58+awtraGk5MTvvzyyxKv40UUvCfWrFmDyZMnw9raGvXq1cOnn36KVatWaT1m\n3bp16NatG9q0aQNzc3N8++23+PPPP5GdnV1mWV5eXhg4cCBsbGxgYGCA0aNH49q1axrPVUZGBqZO\nnYrZs2eX2vaMiIjAyJEjATz7ct7c3Bzjxo0DAOTk5MDExATp6em4desWZDIZVCoVJk6ciAMHDmDE\niBGwtLQUjweAf//9F3Xr1oWtrS1GjBhR4nkjIyPRq1cvBAcHw8rKCs2aNcP58+e17jtr1iz07t1b\nY92oUaMwatQoAMDKlSvRoEEDWFlZoVatWli6dGmJ5y06ZEXROz5Lev9qU1JdDgsLw5o1azB79mxY\nWlpWeOem2NhYqFQqjBo1CoaGhvj8889BRFrPU1A3Dx8+jEuXLmHgwIEa9WHXrl1o27YtWrduDZlM\nhvHjxyMlJQX79u0DANStWxcDBw5EgwYNSoyHP9uUzsTECMARqNXpUCoToFBch6GhodRhSY7buUwf\n6XW9pFKUsVknPDw8aObMmdSgQQOytbWlgQMHUm5urrh969at1KRJE7KxsaHWrVvT+fPniYgoJCSE\nZDIZmZqakoWFBc2ZM4eIiHr16kVOTk5kbW1N7dq1o0uXLpV47pSUFAoMDCQ7OzuqXbs2LVu2jIiI\nli9fTiYmJiSXy8nCwoIiIyM1jrt8+bLGdltbWyIiCgsLo+HDh1PXrl3J0tKSWrZsSQkJCeJxV65c\noXfffZfs7Ozorbfeot9//73E2FauXEk1a9YkS0tLqlGjBq1bt05c36ZNG3G/Q4cOUfPmzcna2pq8\nvLzo8OHD4jZfX1+aMGECtWjRgqysrCgoKIhSU1PF7UeOHCFvb2+ysbGhJk2aUGxsbInxuLu7U0xM\nDBERHTt2jJo1a0ZWVlZUtWpVGjNmTInHPa+IiAjx9yVLlpCPj4/4ODs7m0xNTenatWvFjsvKyiIj\nIyOKj48X1/Xv358mTJhQ7rJu3LhB9evXpx07dlC1atW0xhcSElKsPhSWk5NDJiYm9PjxYyIimjZt\nGhkYGFBmZiYREU2aNIlGjx5NREQDBgygSZMmUXZ2NpmYmJBMJiMLCwuytLSkO3fuUGRkJPXp04f6\n9+9PlpaW1LBhQzp58mSJ5xYEgaKioqhmzZrk4OBAX331FanV6mL75ebmkrW1NV28eFFc9+DBAzI1\nNaWHDx9Samoqde3alRwdHcnW1pYCAgIoOTlZ3NfPz49WrFhBRM9er5CQEHHbzZs3SRAEUqlURESU\nnp5OgwYNImdnZ3J1daVJkyaJ27TFNWrUKHJxcSEXFxcaPXo05eXl0bVr18jc3JwEQSALCwvq2LFj\nic/Bi/L29hbf/0REv/zyC7Vq1Upjn4K6WVF1iYgoMjKSOnToID7eu3dvqfszpk3hv5uscvvqq0hy\ndGxO1tbLyNHxPXr33R6kVColi0fquil1O9fd3Z0aN25MycnJlJqaSj4+PjRp0iQiIjp9+jRVqVKF\njh8/Tmq1mlavXk0eHh6Un59PRM/axwXtrgIrV66krKwsys/Pp9GjR5Onp2eJ527bti0NHz6c8vLy\n6OzZs+To6Eh79uwhIqJVq1ZptCWL0rZ9wIABZG9vTydOnCClUkn9+vWj4OBgInrWBqtWrRqtWrWK\nVCoVnTlzhhwcHOjy5cvFys7KyiIrKyuKi4sjIqJ79+6JbfXCbdzHjx+TjY0NrV27llQqFW3YsIFs\nbW3Fdqyvry+5urrSpUuXKDs7m3r27Cm2R5KTk8ne3p527NhBM2d+TzY27iQIpmRvX58mTJhSLKbC\nz3WrVq1o7dq1RPTs//vRo0dLfJ5eREREBKWmppIgCPTgwQNx/aZNm6hx48ZajwkKCqLZs2drrLO0\ntKTTp08/d1mbN28mFxcXjXXDhg2jBQsWFGvDFbVnzx6x3EOHDlGtWrWoZcuWREQUExMj1sei5RRu\nNxYQBIECAwMpIyODkpKSyNHRkXbu3Kn1vBEREWRoaEj/93//R0qlkubOnUs1atQghUJRbN/ExEQy\nMzMT291KpZKcnZ3p2LFjRET0zz//0I0bN4iIaN++fWRmZkanT58mouJtMEEQND7HhYWF0eTJk4mo\n5PdvXl5esZjKqsuFy61o8+fPpy5dumisCwwMpHnz5hXbNyIigpRKJTVt2pROnz5d7DPnwoUL6f33\n3xcfK5VKMjExoaioKI1y4uPjSRCEYuX7+fmRo6MjOTg4kI+PT6mfOyur1NRU+vzzceTg0JCcnRvS\njz/+pLWeVzZStyUY00bqellaG1fvh4MgIqxfvx7R0dFISEhAXFycOE7qmTNnMHjwYCxbtgypqakY\nMmQIunXrBoVCgV9//RVubm7Ytm0bMjMzMXbsWABA165dcf36dTx8+BBNmzZFv37Fx/4qEBwcDDc3\nN9y9exebNm3C119/jb1792Lw4MFYvHgxvL29kZmZiYiICI3j6tevr7E9NTVVvJaNGzciMjISaWlp\nqF27NiZOnAgAyM7ORqdOnRASEoKHDx9i48aNGDZsmNZbYbKzszFq1Cjs3LkTT548wZEjR+Dp6Vls\nv9TUVHTt2hWjR49GamoqxowZg65du2p8u//rr79i5cqVuHv3LgwMDMRv4FNSUhAQEIBvvvkGaWlp\nmDt3Lnr27IlHjx5pfa4K9yYaNWoUvvjiC2RkZODGjRvo06dPic/xy7h06RKaNGkiPjYzM0Pt2rVx\n8eLFYvvGxcXBwMAAtWvXFtc1adIEly5dKndZn3/+OWbOnPlSvb9NTEzQokUL8Zuhffv2wcPDAwcP\nHhQfF9yOWjCsgpmZGXbu3AkXFxdkZmbiyZMncHZ2BhHh77//xkcffYSMjAx069at1J4SAPDXX3/h\n1KlTOH36NLZs2YJffvml2D7Gxsbo2bOnxnAZv//+O/z8/ODg4AAiwuDBg5GUlISkpCSYmpqWeN6y\nepmFhYXByMgICTEn1AoAACAASURBVAkJOHPmDKKjo8XeSEVNnz4dx48fx7lz53Du3DkcP34c06ZN\nQ926dcXXMSMjA7t37y71nC/i8uXLGvXj7bffFs9ZVEXVJSLCmjVrMGDAAI31Dx48gJOTE2rWrIkx\nY8bg6dOnL3pZjLFKZvbsCGzduhCdOh3GkiVDEB29qVwTcrFXQxAEjBgxAq6urrC1tcXEiRPF/71L\nly7FkCFD4OXlBUEQ0L9/fxgbG5c6oV9YWBjMzc1haGiIiIgInDt3Tuutwrdv38bhw4cxa9YsGBkZ\noUmTJvj444+xZs0aAGX3xtO2XRAE9OjRA82bN4dcLke/fv1w9uxZAM96RNaoUQMDBgyATCaDp6cn\nevToUWJvYJlMhgsXLiAnJwdVq1bV2nPwn3/+wVtvvYV+/fpBJpMhODgY9erVw99//y3G079/fzRo\n0ABmZmb49ttv8fvvv0OtVmPt2rV4//330blzZ0yYMBonT8agZk1XfPllKGbO/KbUazcyMkJ8fDwe\nPXoEMzMztGzZstT9X0RWVhYAwNraWlxnZWVV4m3fWVlZGvsW3v95ykpOTsaIESMwf/58cd3Jkydx\n5MgRfP7552XG3apVK8THxyM1NRUHDhzA4MGDkZKSguzsbOzbtw++vr4lHqutTk2YMAFWVlaoXr06\n2rdvL9YnbZo3b44ePXpALpdjzJgxyM3N1fpecXNzQ9OmTbF582YAwJ49e2BmZoYWLVoAAN5//33U\nqFEDANCuXTv4+/vjwIEDZV57Uc/z/i2rLgOvrodsaXVHm6ioKLRq1QrvvPNOsW3vvvsu9u3bh337\n9iE/Px8zZsxAfn5+udups2bNws2bN3Hnzh18+umnCAwM1LvJAaVma2uLqKhZOHbsb5w/H4sRI4bC\nwMBA6rAYY68ZgUr5r+Ln5yfewsEYY4wxxtibwtfXl9u5jDHGGGPsjWJtbY309HSt20rtCbxv3z4Q\nkaSLh4cHtm/fLj6+ePEiTE1NQUTo0qULzMzMYGNjIy7m5ubYuHGjeGxMTIx4rEqlwvjx48Vxxmxs\nbMTxnIqe9+jRo3B0dNRY9/PPP6NTp04gIqxcuRJt2rQpMW5t28PCwjBp0iTx8d69e1GtWjUQkdgb\no/C1WFhYYNiwYVrL37VrFzp16gQbGxt07doVV69eLXbe7777Dr1799Y4Ljg4GDNmzAARwc/PDz/9\n9JO4LSsrC4Ig4P79+xg6dChMTEyKxTNr1qwSX6eC5zo+Ph4fffQRHBwc4OXlhW3btr10PUhMTISF\nhQWMjIxgaWkJIsKoUaOKPT+NGjXCn3/+Wez406dPw8zMTGPdnDlz0K1btzLLysrKQu3atREfH1/s\ndSu6hISEIDIystRr2b17N95++20cP34cnTp1wuXLl+Ht7Y3Y2Fg0btxYa33Rds6IiAiEhISIj2/e\nvAlBEKBSqbSeVxAEXL58WXy8bds21K9fH0SEBg0awMLCAhYWFjh48CCUSiWcnZ1x7Ngx3Lx5E+bm\n5sjKygIRITs7G59++inc3d1hZWUFKysrcbbognq1YsWKMmM8duwYZDKZRh2zsrJCo0aNtMZvamqq\nEf+VK1dgZGRUrmt/2cXa2honTpwQH584cUKsh4Vfj4qsS4MHD0ZYWFipcR09elTsnc0LLyUtBXWT\nF170bZG6bu7btw8RERHisnfvXp2e38PDA4sXLxYfb9++HbVr1wYRYciQIZg+fXqJx9aoUUOjjbtm\nzRrUr18ft27dAhEhLS0NgiAgISGh2LFJSUmQy+XIzMwU14WHh4tjfJbVxl21atVztXE3bNggtp+f\nZ8nNzcWXX36Jtm3bFovr119/RYsWLTT29/b2xurVq0H0rC0yYcIEcdvly5dhZGQEtVqNmTNn4pNP\nPnmu16nwc12wbNq0CSYmJnj69GmF1YmC94SLiwv+/fdfcf2kSZPw0UcfaT3m66+/Rr9+/cTH169f\nh5GRkdhuK6us1NRUeHp6Ijw8XKPctLQ0yGQyODk5wcnJCY6OjhAEAU5OTjh48KDWWCZOnIjhw4fD\n2dkZ+fn5WLRoEb744guYmZnh0aNHICreZmvfvr3YbixYitbdovWr6HPWqlUr8bFKpYKzs3OJMT54\n8ACmpqZITk6GjY2N+BkqNzcXpqam+L//+z8olUoQEbp3747JkycXq9NEBHNzc1y4cEF8/N5774n7\nlvX+LbyUVZdLu/aXXaKjo4u1Q93c3LBr165i+3744YcwMTER64O1tTWMjIzg7OwsfgYoWn8sLCxw\n7do1jfXx8fHivD2lLZ07d8aPP/74Sq6blzdrkbotoQ/Lvn37MHbsRNy8eVPyWHh5tui6Xu7du1ej\nTZuRkVFinlcvh4NQq9XYvHmzOCh9UlKSuC0pKQmurq4Ant3SM3HiRKSlpYlLVlaWOAlT0VvR161b\nh7///hsxMTHIyMjQeJMU5eLigtTUVPE2qoJzV6tWrVzX8LyTrbi5ucHX11fjWjIzM7Fo0SKt+/v7\n+yM6Ohr37t1DvXr18MknnxTbx9XVFYmJiRrrEhMTxecPKP7cGhoawtHREW5ubggNDS0WT8EED6Wp\nXbs21q9fj4cPH2L8+PHo1asXcnJyyvtUaFUwYVZ4eDiePHkCAGjYsCHOnTsn7pOdnY2EhAQ0bNiw\n2PF169aFUqnE9evXxXXnzp0T9y2trPj4eCQmJqJt27ZwdnZGz549cffuXTg7O2s8fwXKeu29vb1x\n7do1bN68GX5+fqhfvz6SkpKwffv2YjOTF5SlrcwXmdCnpPfSpUuXxInGfHx8IJfL0adPH2zYsAEb\nNmxAYGAgzM3NAQDz5s1DXFwcjh8/joyMDI0vi4qysLDQuA3s3r174u/Vq1eHsbExHj9+LNaxjIyM\nEifOcHFxwa1btzTid3Fxee7n4EU0bNhQ4zbEc+fOoVGjRiXu+7J1KScnB5s2bSo2FIQ2arX6Ja6M\nMcYqt8ITxRX9H/yqEREWLVqElJQUpKamYvr06WIb9pNPPsHixYtx/PhxED37Avaff/4R26VVq1ZF\nQkKCWFZWVhaMjY1hZ2eH7OxsfP311yWet3r16mjdujXCw8ORl5eH8+fP45dffkFISEi54nZyckJy\ncjIUCoXGtZSka9euiIuLw9q1a6FQKKBQKHDixAlcvXq12L4PHjzAli1bkJ2dDUNDQ5ibm2sdsqRL\nly6Ii4vDhg0boFQq8dtvv+Hq1asICAgQ41m7di2uXLmCp0+f4ptvvkHv3r0hCAJCQkKwdetWREdH\nQ6VSITc3F7GxsUhJSSnz2teuXYuHDx8CeNbLRhAEyGQV/3Gqf//+mDZtGtLT03HlyhUsX74cYWFh\nWvft168ftm7dioMHDyI7OxuTJ09Gz549xXZbaWU9efIE7733Htq0aYMZM2ZolGtjY4O7d++Kw3Bt\n374dAHD69Glx+ISifH19sWbNGjRs2BCGhobw8/PD8uXLUbNmTdjb22s9pmhd1qa0+gUAp06dwubN\nm6FUKrFgwQKYmJigVatWWvd1dHSEn58fwsLCULNmTbz11lsAgPz8fOTn58PBwQEymQw7duxAdHR0\nief09PTEunXroFKpsHPnTuzfv1/cVtb7t7D333+/zLr8qvj5+UEulyMqKgp5eXmIioqCTCZDhw4d\niu1bp04dJCYmivVh6tSpeOedd3D27FnxM8mpU6egUqnw8OFDfPrppwgKCkLdunXFMnJzc5Gfnw8A\nyMvLEyfCzMjIwK5du5CbmwulUol169bhwIED6Ny58yu7dsbeBCqVCh999Al69RqP5csN0bJlABYt\nWiZ1WEwCfn5+5Z78uMxWS+GCdDHD3fXr1+Hj8z6GDPkFwcGRuH//IaKioriBXAg3kJ/54IMPcPHi\nRfz555/Izc3FlClT4OnpqdHYKGBubo4ePXrgm2++wdOnT3Hw4EFs3boVoaGhZZbVuHFjJCcni42e\n5cuXo2rVqjh37pz4pYBSqURubi5UKhUUCgVyc3NLTM6ZmZmhWbNmWLRokTg+WuvWrbF48WKN8dIK\nJ1arVq2Kx48fiwnwgu3Pa+7cuUhPT8ft27cRFRUlvpe06du3LzZu3Ij169ejb9++4vqsrCyYmprC\n2toaqampxWYOL8zT0xP79+/H7du3kZGRgZkzZ4rbnJ2d4e/vjzFjxiAzMxNqtRoJCQkajejCPvro\nI0ybNg2PHj3Co0ePMHXqVPH1e9X69++P+fPn486dO0hJScH8+fNL/DD2snUJADZv3gw7O7tiCYnY\n2FgkJiaCiHD79m2MHz8e3bt3f4VXzhhjb47Y2NhyN5B1QRAE9OvXD/7+/qhVqxbq1KmDSZMmAQCa\nNWuGZcuWYcSIEbCzs0OdOnXEMXsBIDw8HNOmTYOtrS3mz5+P/v37w93dHa6urmjUqBG8vb1L/bJ4\nw4YNuHXrFlxcXNCjRw9MnTpVTPwUzElQkg4dOqBhw4ZwcnJClSpVSjym4LGlpSWio6OxceNGuLq6\nwtnZGeHh4WIyqDC1Wo3vv/8erq6usLe3x4EDB/Dzzz8XO4e9vT22bduGefPmwcHBAXPnzsW2bdtg\nZ2cn7hsaGoqwsDCxV2pUVBQAoFq1atiyZQtmzJiBKlWqwM3NDfPmzSvXl6q7du1Co0aNYGlpiS++\n+AIbN26EsbFxmcc9rylTpqBWrVpwd3dH+/btMX78ePj7+4vbLS0tcejQIQBAgwYNsHjxYvTr1w9V\nq1ZFTk4Ofvrpp3KVtXnzZpw8eRIrV66EpaUlLC0tYWVlheTkZABAlSpVxMXBwQGCIKBq1aowNDTU\nGre3tzdyc3PRrl07AM/mSTE1NRUfFyg6l8imTZtgZ2eH0aNHay23tDopCAKCgoLw22+/wc7ODuvW\nrcOff/5Z6njnffv2RUxMjEb71tLSElFRUejTpw/s7OywYcMGBAUFlRj3Dz/8gK1bt8LW1hbr16/H\nBx98IG4r6/1bmJ2dXZl1+UU6fpSHoaEh/vrrL6xZswa2trZYs2YN/vrrL3Gc2XXr1omdHuRyuUZ9\nKOgJXPA3AABGjx4NW1tb1KtXD/b29li27H/JqFu3bsHMzAyNGjWCIAgwNTVF/fr1ATxLwE+ePBlV\nqlSBo6MjFi1ahC1btmjM5cIYK+7JkyeIjt4PuTwWpqYRUKmWYeXKTVKHxfQdlaKMza/Ed9/NInPz\nr8jJSU1OTnkkk5lTv379qEGDBmRjY0NhYWGUk5Mj7r9z507y8vIiGxsbcnZ2pj59+ogzvm7ZsoXc\n3NzIxsaG5s2bR1lZWRQUFESWlpbk4eFBa9asIZlMpjGza2HJyckUEBBAdnZ2VKtWLVqyZIm4bdWq\nVdS2bdsSryM/P5+6du1KdnZ25OjoSETFZ3fdu3cvVa9eXXx87do16tq1Kzk6OpK9vT117NiRzp07\nV6zsu3fvkq+vL1lbW5ONjQ21b9+erly5ojWugwcPUrNmzcja2pqaN29Ohw4dErf5+flReHg4tWjR\ngqysrKhbt270+PFjcfuxY8fI19dXvIaAgABKSkrSer2FZ04OCQmhKlWqkIWFBTVq1Ii2bNlS4vP0\nvPbu3avxePfu3VSvXj0yNTWl9u3bU2Jiorht+vTpGjPepqamUvfu3cnc3Jzc3d1pw4YN5S6raAyF\nXzeiZ7NiC4KgsaxevbrE6wgPDyczMzNxlu+FCxeSTCbTmL25aH0ZNGgQ2dvbk62tLd25c4ciIyMp\nNDRU3H7z5k2SyWQlztosCAL9+OOPVLNmTbK3t6exY8eWuG+B2rVrk729vcbMs3fu3CE/Pz+ysLCg\nt956i5YsWaJx3qKzPA8fPpxsbGyoTp06tGzZMo19MzIyaOjQoVStWjWytramd955h3777TetseTm\n5tLIkSPJ2dmZnJ2dadSoUeIsy2Vde0UYN24c2dnZkZ2dHY0fP15jW8OGDcUZ3Yleri4REb333nv0\nzTffFFs/f/58cnV1JTMzM6pevTqNGjWKsrKyXvLK2Juu6N9NxvSF1HVTinYu042ibZHXhdTviddR\nZGQkhYSESB3GG4/rJtNXlblupqamkr19PXJyUpGzM5GDwylq1sxf6rAYSV8vS2vjljoxXMF4Pbr0\n3XezMWOGISwsvgAAqNUjsGhRe/Ts2VOncVQG7du3R2hoKAYNGiR1KEwHZDIZrl+/jpo1a0odCmNv\nPIVCga1bt6Jx48aoU6eO1OEwxrSQop3LdKN9+/YICQnB4MGDpQ6FvWKRkZFISEjAr7/+KnUojDGm\nUwqFAv7+vXDpkhL5+YEwMlqKYcM+RGTkeKlDYxIrrY1roONYylSvXl2YmEQgN9cBgvAIRkZ74eEx\nUOqw3lj84YcxxirWqVOnMHjwGNy5YwvgOsLCemDmzIhSb02t7Ozs7JCWliZ1GOwNZWtri9TUVKnD\nYDr2qm6hZ/rlVQ6XwBhjUnq+9vGzcdunTDmDKVMmvLqgmF55kTau3vUEBoCLFy/iq6+mwc7OGjNn\nToSbm5vOY6gMuCdw5SKXyxEfH889gRl7xXr2HITdu5vDzGwoiFKhUnVGbOwqrZNWsme4RyZ7lUqq\nX1zvGGPa3LhxAxMmTIdSqcSsWZP4jh7GCklPT8eMGfNx5MgZTJs2VmNOG1axuJ3CyvIibVy96wkM\nAI0aNcKOHRulDuONt3fvXqlDYDqkUqmkDoGxSkGlIsjlNf/rnWQPmcyGG3CMMcbYa+DgwYPo1esz\nKBTDQGSINm0+wLp1C/Duu+9KHRpjknv48CFatHgXmZmdoVZ/jN69wzFyZA9MmjRW6tAYY+Wkl0lg\nxhhj7HVVv34NHD48F3l5xgAOw9T0DhwcHKQOizGmRWRkpPi7n58f/Pz8JIuFMSa969evQ6UKhLHx\nMABAbu49xMXFcRKYMQD3799HXl4VGBnNAgDk5hrj5MnfJI6KMRYbG4vY2Nhy7ctJYMYYY6wCzZgx\nGd7eWzFxYgS8vZti6tQYODk5SR0WY0yLwklgxhgDAJXqPgwMVAAEqFT3ANhLHRJjekOheAK5PBMy\nmSXU6rvgIbkZk17RjgxTpkwpcV+ZDuJhL0itVmPDho1o2NAHY8dO4klzGGPsNSAIArp164YLF/Zj\n6dIFnABmomvXrsHT0xNWVlZYuHChTs/t5+eHFStW6PScjDH2uvH390fTpulQqd6DStUVnp5JCAgI\nkDosxvRC3bp10aNHa6jV7ZCfH4oqVX7Gl18Oljosxthz0MuJ4dgzH388Gn//fR1q9XgIwnZYWe3A\n+fOHYG5uLnVojDHGWIWpLO2NwYMHw8bGBvPmzXupcvz8/BAaGorBg//3wUsmk8HMzAyCIMDKygo9\ne/bE/PnzYWDw7KYvfZkM1sPDAw8ePIBcLgfw7LWPi4t7pV+W8MRwjLHnQUTYuXMnFAoFAgMDIXBX\nR8Y0nD17FqdPn0Hfvh/BxMRE6nDeWNxOYWV5kTYu9wTWY1ev3oRaHQEjo7YwNJyJrCwBmZmZUofF\nGGOMseegVCoBAImJiWjQoMFLl1dSQuL8+fPIzMzE/v378eeff2Lp0qUvfa6KJggCtm3bhszMTGRm\nZuLJkyfFEsAFzxdjjElBEAR06dIF3bp14wQwY1p4enpi0KCBnABmFSoyMhKhoaFSh6FXPDw8sGfP\nngotk5PAekwmE6BS3QAAqFR3oFTmcEOEMcYY0yEPDw989913aNiwIezs7DBo0CDk5eUBALZt2wZP\nT0/Y2trCx8cHFy5c0Dhu9uzZaNKkCSwsLNCxY0fExsZixIgRsLKywvXr15GXl4exY8fC3d0dTk5O\nGDp0KHJzc8UytmzZAk9PT1hbW6N27drYtWsXJk6ciAMHDmDEiBGwtLTEyJEji8Vcq1Yt+Pj44NKl\nSxrrb926hTZt2sDKygrvvfceHj9+DADo2rVrseEp3n77bWzZsgXAs17GP//8M+rUqQMrKyt88803\nSEhIgLe3N2xsbBAcHAyFQiEeW9rzUhKZTIaffvoJderUwVtvvVVmOWfOnEHTpk1hZWWF4OBgBAcH\nY/LkyWWehzHGGGOMsdfBK+kNTqUoYzN7xfbt20d167YgB4deVLVqQ5o+fQ6p1Wqpw2KMMcYqlD63\nN9zd3alx48aUnJxMqamp5OPjQ5MmTaLTp09TlSpV6Pjx46RWq2n16tXk4eFB+fn54nHvvPMOJScn\nU25uLhER+fn50YoVK8SyR48eTUFBQZSWlkaZmZkUGBhI4eHhRER07Ngxsra2pt27dxMRUUpKCl29\nelVrOUREgiDQ9evXiYjoypUr5OzsTKtXrxa3+/r6Uq1atSg+Pp5ycnLIz8+PJkyYQEREv//+O7Vs\n2VLc9+zZs2Rvb08KhUIsu3v37pSZmUmXLl0iIyMjat++Pd28eZMyMjKoQYMG4rnKel48PDzEayoa\nv7+/P6WlpVFubm6p5eTl5ZGbmxstWLCAlEolbdq0iQwNDWny5MlaX8OS6pc+1zvGGGOMVW763k75\n7rvvyNXVlSwtLemtt96imJgYUqvVNHPmTKpVqxbZ29tTnz59KDU1lYiIbt68SYIg0OrVq8nNzY0c\nHBxo+vTpRES0Y8cOMjIyIkNDQ7KwsCBPT08iIkpPT6dBgwaRs7Mzubq60qRJk0ilUhER0cqVK8nH\nx4fGjh1Ltra2VKNGDdqxY4cY3+PHjyksLIxcXFzI1taWunfvLm7bunUrNWnShGxsbKh169Z0/vz5\nMq83KSmJPvjgA3J0dCR7e3saMWIEERGpVCr69ttvyd3dnapUqUL9+/enjIwMIiLau3cvVatWTaMc\nd3d3iomJISKiiIgI6t27N/Xv358sLS2pYcOGdPLkSSIiCgkJIZlMRqampmRhYUFz5swpFtOLtHG5\nJ7Aea9euHc6d24cff+yJEyd24Ouvx3JPYKY3YmJi0KPHAOzYsYPHKmKMvbEEQcCIESPg6uoKW1tb\nTJw4ERs2bMCyZcswZMgQeHl5QRAE9O/fH8bGxjh69Kh43MiRI+Hq6gpjY2OxvIK/l0SEZcuWYf78\n+bCxsYGFhQXCw8OxceNGAMCKFSswePBgdOzYEQDg4uIi9pAtXE5hTZs2hYWFBRo0aIBevXqhf//+\nGtcxaNAg1K5dGyYmJujTpw/Onj0LAAgMDERcXBwSEhIAAL/++iuCg4PF8YQBYNy4cWLZjRs3Rpcu\nXeDh4QErKyt06dIFZ86cAQAsXbq01OeFiNC9e3fY2trC1tYWPXr0EM8RHh4OGxsbGBsbl1jOkSNH\ncPToUSiVSowaNQpyuRw9e/aEl5fXi77EjDHGGGPsOVy7dg2LFi3CyZMn8eTJE0RHR8PDwwNRUVH4\n+++/sX//fty9exe2trYYPny4xrGHDh1CXFwcYmJiMHXqVFy7dg2dO3fG119/jeDgYGRmZortyrCw\nMBgZGSEhIQFnzpxBdHQ0li9fLpZ1/Phx1KtXD48fP8a4ceM05ssIDQ1Fbm4uLl++jAcPHmDMmDEA\nnt1NNnjwYCxbtgypqakYMmQIunXrhvz8/BKvV6VSISAgADVq1EBiYiJSUlLw0UcfAf/P3n2HNXl9\ncQD/vgkr7I0gS0vd1ipuq0br3gsVFfeoo2Ktbd2g1lbr/KlttWq17t1q6x6A1tZVt1hXFUQQEZA9\nQnJ+f1DeEkgAFXhBz+d58pC8474n4QYOh5t7AWzcuBE//fQTgoOD8c8//yA5ORkTJkzQ21bemt6v\nv/4KX19fJCQkoFu3buK5mzdvhru7uziN2pQpU4ryrSmUQeGHMCmZmJigf//+UofB/qVSqfDzzz+j\nRo0aqFWrltThSGbYsI9x8OA1ZGYOw++/fwOlcg927eJV5xljJWhGMfwTdP6r/cPKzc1NvO/u7o7I\nyEiEhYXhp59+wsqVK8V9KpUKkZGROs/LkZP4xcTEIDU1Fd7e3uI+IoJGowEAREREoHPnznpj0vVP\n4StXrqBy5crYvXs3Ro0ahU8//RQeHh7i/txz7yoUCiQnJwOAWBTevHkzAgICsGPHDuzdu1erbScn\nJ61zcz82MTHBs2fPAGTPe7xp0ya9r4sgCNi/fz9at26dL/7cr5e+dqKiokBEqFixota5Hh4er/QP\nycDAQPG+UqmEUql86TYYY4wxxiTRoRjy4yMvnz/J5XJkZGTg1q1bsLOzg7u7OwBgzZo1WLVqFVxc\nXAAAAQEB8PDwwJYtW8RzAwICYGxsjPfeew916tTBtWvXULVqVRCRVi4XHR2Nw4cP48WLFzAxMYFC\nocCkSZOwdu1ajB49GkB2/pdT+B08eDDGjRuHZ8+eQa1W48iRI4iLi4OVlRUAoHnz5gC0ByzknPfV\nV1/h3LlzaNGihc7ne+HCBURFRWHRokWQybLH0jZt2hQAsHXrVnz66afw9PQEAHz99deoVasWNm7c\nWKTXsnnz5ujQoQMAYNCgQVi+fHmRzsstODgYwcHBRTq20CIwJ8eMZfvrr78wfPgniIpyAHAfffu2\nw9Kl82FkZCR1aKXu+PFgCMIJmJo6QaPpg6Cg96UOiTH2pnvFAm5xCA8P17rv4uICd3d3zJgxA9On\nT9d7XkGf3rG3t4dCoUBoaCicnZ3z7Xdzc8P9+/dful0A8PHxwf79+xEYGIgNGzYUeGyOIUOGYPDg\nwWjWrBlMTU3RqFGjIp2XN56ivC6v205ISAiePHmitS0sLAxeXl4Ftq8rQc6d5zLGGGP6ZGZm4ty5\nc2jUqJHWJ3wYk9QrFHCLg5eXF5YvX47AwEDcunUL7du3x5IlS/Do0SP07NlTLJQCgIGBAaKjo8XH\nuQclmJqaioMS8goLC4NKpdLKkzUajVhw1tUWACQnJ+P58+ewtbUVC8B529U30ECfx48fw8PDQ+t5\n5YiKitIadOHu7o6srCyt51yQ3AMrTE1NkZ6eDo1Go/Na+uSt1c6ZM0fvsYW2GhgYKN64AMzeZkuX\nrsOjR30gl++BTHYau3adxc2bN6UOSzJEaVpfGWPsTURE+O677/DkyRPExcVh/vz56N+/P0aOHInV\nq1fjwoULgSopvgAAIABJREFUICKkpKTg4MGDehPZ3O0B2QuhjRo1CpMmTUJMTAwA4MmTJzh27BgA\nYMSIEdiwYQNOnToFjUaDJ0+e4M6dOwCyk8WcqRv0mTp1KrZv346IiIh819alSZMmEAQBU6ZM0ZpG\norDnkXM/5/GoUaNe6XXJq6B2mjZtCgMDA6xYsQIqlQr79u3DxYsXC21TqVRq5bWMMcZYUYSEhKBe\nvdbo3Xs66tVrjaCgIKlDYkxyvr6+OHPmDMLCwiAIAr744gu4u7vjyJEjiI+PF2+pqak6BzzklXeQ\ng5ubG4yNjREbGyu2lZCQUKQFh93c3BAXF4eEhIR8+3IGGuSOMTk5Gf369SuwvfDwcKjV6nz7XFxc\n8OjRI/FxeHg4DAwM4OTkBDMzM6Smpor71Gq1mPcXRUlMB8tzAjNWRESAXO4BQRAgk1nB0NBG6pAk\nM2LEQABdkZoaCKK2GDp0kNQhMcZYiRAEAQMGDEC7du3wzjvv4N1338XMmTPh7e2NtWvXYsKECbC1\ntcW7776LTZs2FZqs5d6/cOFCeHl5oXHjxrCyskLbtm1x9+5dAECDBg2wYcMGfPLJJ7C2toZSqRRH\nJPv7+2PPnj2wtbXFpEmTdF6nVq1aaN26NZYuXarz2oIg5It18ODBuHHjBgYN0v6Zrus56WurOF6X\ngtoBAENDQ+zbtw8bN26EnZ0ddu3ahV69evH89IwxxkqEn98EREZOh6Hh73j6dDb8/PTP98nY2+Du\n3bs4deoUMjIyYGxsDBMTExgYGOCjjz7C9OnTxZw1JiYGBw4cKFKbFSpUwKNHj8R8ztnZGe3atcPk\nyZORlJQEjUaDBw8e4PTp04W25ezsjI4dO2LcuHF48eIFVCqVeN6rDFho1KgRnJ2dMXXqVKSmpiI9\nPR1//PEHgOxi+LJly/Do0SMkJyeLcxvLZDJUqVIF6enpOHToEFQqFb788ktkZGQU6fUAijbw46UV\ntPpdIbsZe6t8+eVicnD4gGxsDpOd3Vxyda1JT548kTosyYSGhtJnn80o0kqajDFWkLKcb3h6eoor\n+L7pNm3aRM2bN5c6jFcydOhQmjlzps59+vpXWe537O0SERFBo0d/QrNmfSmuKM7ebmq1mnbs2Ek9\new6ms2fPSh3OW8/ZuTo5OcWRszORk1MCOTlVkSSO8PBwGjFiIgUGfkVJSUmSxMBKT1nOU65fv04N\nGzYkCwsLsrW1pa5du1JUVBRpNBpaunQpVa1alSwsLOidd96hGTNmEBHRw4cPSSaTkVqtFttRKpW0\nfv16IiKKjY2lDz74gGxsbMjb25uIiBISEmjs2LHk6upKVlZWVLduXdq5cycREW3cuDFf3iqTyejB\ngwdERBQXF0dDhgwhJycnsrGxod69e4vHHTlyhBo0aEDW1tbk7OxMffv2LfQ9FR4eTj169CA7Ozuy\nt7cnf39/IiLSaDQ0d+5ccnNzIwcHB/Lz86MXL16I523cuJGcnZ3J0dGRFi9eTJUqVRL/tggMDCQ/\nPz/x2Lyv0f79+8nd3Z2sra1pyZIl+WJ6lRxX+PcAnQRB4FEVjP2LiHDy5ElMm/YNvL1rYe7cqXB0\ndJQ6LMYYK/fKcr5RqVIlrF+/XudCZm+S1NRUtG7dGhMmTMg3Erg8GDp0KNzc3DBv3rx8+/T1r7Lc\n79jb49ix4xg8eBJUqiGQyaJhZnYSx47tQpUqVaQOjUlErVajbdveuHkzC5mZvWFk9D0GD+6IxYv1\nz/HISladOs3x5ElLyOVjoFb/gAoVTuLmzT9KNYYDBw5i9OgvoFINg0wWDkvLMzh+fA8qV65cqnGw\n0sN5CivMq+S4PB0EY0UkCALatGmDixePYfXqpVwAZowx9kY4evQoHB0d4ezsjAEDBkgdzivRNb0F\nY+XBuXMXkZY2CsbGn8PQcAkyMhri9u3bUofFJJSRkYGrV29ALj8AU9NhINqAY8cK//gzKzmnTv2C\nAQNUyMr6AL6+GQgOLtrH24vTH39cQFraeBgbfwpDw/8hLe09ca0AxhgrKgOpA2CMMcYYK6sePnwo\ndQglrn379i+9cFtZs2HDBqlDYOyV/bfYLkGj4QV3GUCkAZAOwJQXYS4D7OzssGLFQixZ8iUMDQ0l\ni4N/VjBWcsLDw1GzZs182wVBQGhoKFxdXSWIqvhxEZgxxhhjjL2VAgMDxftKpRJKpVKyWNjbqVOn\ndti06SMkJj6GIDyFh0cS6tevL3VYTEIKhQK9e3fHgQMtoFJ1hJHRzxg9eqLUYTFA0gJwjx4dsWvX\nOCQl/QOZ7DEqVUpH3bp1JYuHsTeNu7s7kpKSpA7jlQQHByM4OLhIx/KcwIwxxhiTFOcbrCTxnMCs\nrEtNTcX336+Do6MdBgzoD7lcLnVIrAy4ePEifvnlIEaPHgYPDw+pw2FlQHJyMr7/fh1cXSugX7++\nkMl4ds83GecprDCvkuOW3SLwjd1AxHnAQAEYmWZ/NTTVfV/XNrkhwHPDMcYYY2UeJ7msJHERmDHG\nGGPlDecprDCvkuOW3ekgzBwAC2cgMxXISAKSo7PvZ6UBqtT/7uvapkoFSJNdFH7VIrKhKWBYlHMU\ngIz/W88YY4wxxlhRZWZmYt26Dbhz5xGmTp0IZ2dnqUNijDHGGHujld0icGVl9u1VqbP+KwirdBSJ\n9RWRU2Kyv6oKKTLnvi83evnCsr4ic0GFZwNjHt3MGGPsjWNjYwOBf7+xEmJjYyN1CCyPp0+fol07\nHzx96gm1uhp27myDH374Bt26dZY6NMYYY+UVEaBRA2p19te8t5fdXpRz1FnFc63c7fx7jI2ZgvNj\nVqBXyXHLbhH4dckNALkFYGxRstchArIy/isY5y4e5y5Aa93/92vqcz37897/97FGVfCIZn1F5lcp\nPMvf3K7BGGOsbImLi5M6BMZYKbp79y5iYhxgYLAZBgZAaqoLjhwJ5iIwY+ztUmjRMqvsFzVfNg4d\nxc6Xv56e14UIkMmyP6md9ybXse119uXeLjd4+TYNDAGZie42/j03bm/TV48zb0xFeR66tnMR+o3D\nlb7XJQiAoUn2TVHCI0006vyFZF3F5bz30+KBxCdFKDjn2iaTv3xh+VX2G5hk/6BmjDHGGGNvEQ2I\n6N9RThqpg2GMFYVGUzxFvtIsauorbBZXUbOo13vpoqVB8RQoi6uoaWj86oXEly1MFtamrvhk8uzX\nkouWjBWIi8DliUwOGJtn30oSEaBW6R+RXFDhOf1F4YXp3COl1RmA3Lh4C8v6tvFigYwxxhhjkqtW\nrRpcXBLx+HFfaDTVYGb2M7p2XSp1WOxNQ5S/aFlSIxdLqniZb3tWyRREixorUITinYTFy4KKli8z\nWvN14nupUaFctGSMlS4uArP8BAEwMMq+KawBAPHx8dAYamBnZ1e819JogKz0oo1ozr0/Z7FAXYVl\nfYVnjbr4C8v69svkxfs6McYYY6zYBQYGiveVSiWUSqVksbxNHB0dcf78MWzatAV37z7ClCnBsLe3\nlzos6b1S0bIYioK6CoOlUdR8nTiKuk8QXr/IWJTCZnEULw2MCjk+/8fFX+lar1UM5U9wMsZYWRMc\nHIzg4OAiHSsQEendKQgICAgQH3Ny/PZRqVRYu/ZHzJ+/EhoNYfLkUfj4449gYmIidWgvT63KLgrr\nKhgXdVvu4rK+eaCz0gCZYfEXlnXt58UCGWOMsSLJmyDPmTMHBaTBrChKaxGe4hqJWVwL+LxOcbXA\ndjWvULQ0kGY+y5IqhBbXPJY57XCezBhj7C0jCILeHLfQIjAnx2+3PXv24KOPVkMmWw1BMIJKNQHf\nfNMNI0eOlDq0squgxQILW0CwoMJy3vNVqfhvscASnLc5577cUOpXlhUiJSUFpqamvIosY4wVgVR5\n7vnTwQj/8Ws0b9YQFRzsS2buyeIsahZU2CytRXheZwRkIcXSyOho/P7HRTRs3ACeld8pmULoy8Qv\n0e9wIsLBgwcREnIen3wyFi4uLpLEwcqW6OhoLFv2PRo1qoMePXpIkmNmZWVhy5ZtePToCSZNGgtr\na+tSj4Exxorqr7/+wubNuzBixCDUrl1bkhi4CMxe2ZYtWzB58jUYGCwCAKSlfYW5cy3w8ccfSxwZ\nA5D9B1jOdBr6iswvU1jOvU2rzRRAkBWhcPwyRWY993mxwJf24sULzJ+/BOvXb0KzZs2wdOkcvPvu\nu1KHxRhjZVpp57lEhJEj/XHq4O+Y5WwAyB6g1ns10LBx/dIbxVnsRc3yPZ/lzJnz8cMPu5CR0Q/G\nxnvh4/Mhvv32G6nDKnXp6eno0cMPly/HQaVqDmPj3Vi8eDYGDeondWhMQnv37sfHH89ARkZPGBhc\nRI0axvj1160wNy/h9Wlyefr0Kbp0GYjwcBtoNJWgUBzFli2r0LJli1KLgTHGimrixGnYseMoMjJ8\nYGy8AyNG9MHXX88q9Ti4CMxe2b59+zBmzEoA30IQjJGV9TEWLeqNESNGSB0aK005iwXqLRIXVkTW\nsS3vfXE0dPp/iwUamf470rkIxePCjtW1/w1ZLLBDh364eLECDAymQaX6FcbGi/DgwVWYmppKHRpj\njJVZpZ3nqtVq2Nq6w9T0PgRBAZUqFLa2I3Hnzh+lFgPT5ulZF6mp+2BgUAkazQuoVO8jNvaR1GGV\nuvv376NZs4GQyc5CEAyQnn4QjRptw+HDW6UOjUnIx2cUTpxoB4XCB0RqEH2IY8dW4L333iu1GI4d\nO4bBg9dBEHZCEASkpKzCqFFPsXjxl6UWA2OMFZWDwzuQyy9CJrOFWv0YhoadEBFxo9TjKCjH5YXh\nWIG6deuGFy8SERDQD2o1Yfbs8fDz85M6LFbaci8WaGJVstci0j26WV/hODNFe7FAXYVlfeeT5r/C\ncKEF51cY+Sy2WbKLBT5//gIy2QzI5RUgl4+CSrUMGRkZXARmjLEyKXt6JUEwkjgOBvz3fXjbvx+C\nIAcg//c+TwHGsv33vpBBEKQpHQiCYa5pKLhvMsbKOsM8X8sWLgKzAhkYGGD48KHo06cXNBoNz8HE\nSp4g/FtEVQCmdiV7LXVW/oKx1iKAegrPqc/zF5ZzRkLrOl+Viv8WC3zdeZvzb3O1VOO57DdA9g6S\n068AyICBAf94Z4yxskQmk0GpbIU//2z378cEf0SXLh2lDuut1qlTW+zZ0wspKcNgbLwNbdu2lTok\nSTg7O8PT0xz//NMbKpUShoY/oFu3T6QOi0msUyclTp+egfT0f2BgcB6urllwd3cv1RiqV68OS8t7\niI8fBbW6EhSKrWjVakmpxsAYY0XVrl1bHD/eCWlpA2FsvBGdO7eTOqR8eDoIxhgraUSAOlP/qOSX\nncc5z31VWhLSk+JhJGTBUEbQyI1hYGJRjAsG6tnGiwUyxsoxKfJcIsLhw4exZcsvmDRpJBo2bFiq\n12f5nT17FqtWbcSIEf3w4YcfvrWLq6rVamzduh2nTv2J6dP9UaVKFalDYmXAP//8g/nzl6NRozoY\nNmwwDA1LP/dLT0/HqlVr8PBhBGbM+IQXLWSMlWknT57EunU7MG7cYDRv3lySGHhOYMYYe8MRES5f\nvoya1avBRE7aBWOdo5N1bCvsHK39qf8uFliM02fo28+LBZZrarUaN2/eRO3atSHj7yMrQwRBQEBA\ngPhYqVRCqVRKFxBjjDHGGGMvKTg4GMHBweLjOXPmcBGYMcZYMcpZLDBfkfjfOZp1FY51FZkLG+mc\nlaa9WOBLj1h+yXPkRm/EYoFlxcWLF/HxxzNx714kqlSpiJUrv0T9+vWlDosxAJznMsYYY+XVkydP\nsG7dRnTp0gHe3t5Sh8PKAI1Ggz179uLp0xiMGjUMCoVC6pAkwyOBGWOMlV8aTXYhuKjTZeQuRhd1\nuo2cKTo06hKaPkPH/hJcLLCscHevhaSkAJiY9EZ6+i5YWy/Aw4dXpQ6LMQCc5zLGGGPl0dq1GzFr\n1mJkZHSFoeFR9OypxPffL+ZPnL3Fnj59it69h+PePRkAF1hZXcH27d+/tYNPuAjMGGOMFUXuxQIz\ndRSJX3Ue57zni4sFFnNhWdd9AxPJRjc7OVWBIPwFmcwCGk08ZLJmiIwMlSQWxvLiPJcxxhgrf+rW\nbYPHj+fByKgJNJoUZGa+h0ePrsDS0lLq0JhEfv31V4wYsRVy+TYIggzJyQswaZIKc+fOkjo0SRSU\n4/Ly8YwxxlgOuQEgtwCMLUr2OkVZLFDftrQ4/YVllY5t6szsQnBJztuccz/PYoFWVpaIjf0BhobD\noVKthaNjCb+ujDHGGGPsjScIFv9+NYUgvPmfrmOFk8vNIQjZo8Gz+0ectAGVUVwEZowxxkqbIAAG\nxtk3hU3JXkujzp5OQ1+RWNe2zFQgPQFIitK/P+/5qtTs6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vlHZ9tr1qyhFi1aFCn22bNn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\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nYzZ74K+/voDZ3A8Wyxfw93fPvo7Z924/6Lo/AMBgeBh2+2HBqUgYTUP6oUN3irUVKkCp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\n"
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "(iii) A/B Testing"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Another approach is to divide the progress into two (or more) subsets in order to see if the latter sample is significantly different than the former one. If the means of two samples are different significantly, we can argue that the poets display *different* characteristics with their latter poems.\n",
      "\n",
      "We use the non-parametric KOLMOGOROV-SMIRNOV (KS) test because the distribution of the feature is often not normal.Similar to above, the initial step is to take the poets who have posted at least a certain number of poems. Then we compare the first subset against the second subset. We keep the size of two samples equal, because KS test is sensitive to differences in sample size. \n",
      "\n",
      "The example below compares the first 6 poems vs second 6 poems. Both visually and statistically, it is hard to discern a difference between two samples. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def ab_test(cut,nix,grouped):\n",
      "    seasoned_poets, unique_nids, unique_uids = seasoned(cut,nix,grouped)\n",
      "    seasoned_poets.index = unique_nids\n",
      "    print 'Total number of {0} poets'.format(len(unique_uids))\n",
      "    \n",
      "    \n",
      "    figsize(25, 10)\n",
      "    fig = plt.figure()\n",
      "    \n",
      "    n = cut//2 #Take the first set of poems.\n",
      "    for k,(column,feature) in enumerate(seasoned_poets.iteritems()):\n",
      "        a = feature[seasoned_poets.index<=n]\n",
      "        b = feature[seasoned_poets.index>n]\n",
      "        b = b[b.index<=n*2] #Keep the sample sizes equal\n",
      "        sx = plt.subplot(int(seasoned_poets.shape[1]/2+1), 2, k+1)\n",
      "        plt.setp(sx.get_yticklabels(), visible=False)\n",
      "    \n",
      "        lp = np.linspace(min(min(a),min(b)),max(max(a),max(b)),30)\n",
      "        plt.hist(a,bins=lp,alpha=0.5)\n",
      "        plt.hist(b,bins=lp,alpha=0.5)\n",
      "        plt.autoscale(tight=True)\n",
      "        plt.legend([column])\n",
      "    \n",
      "        #two_sample = stats.ttest_ind(a, b)\n",
      "        #test_stat = stats.ranksums(a, b) \n",
      "        test_stat = stats.ks_2samp(a, b)\n",
      "        print 'For the feature {2}: The t-statistic is {0} and the p-value is {1}.'.format(test_stat[0],test_stat[1],column)\n",
      "        \n",
      "#Analyze 12 poems - First 6 vs second 6.       \n",
      "ab_test(12,nix,grouped)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Total number of 106 poets\n",
        "For the feature ABS: The t-statistic is 0.062893081761 and the p-value is 0.155863525145."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature EnlTot: The t-statistic is 0.0440251572327 and the p-value is 0.559451012376."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Female: The t-statistic is 0.0251572327044 and the p-value is 0.986840984667."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Male: The t-statistic is 0.0424528301887 and the p-value is 0.60633902974."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Object: The t-statistic is 0.0408805031447 and the p-value is 0.653867326542."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Polit: The t-statistic is 0.0377358490566 and the p-value is 0.747985464114."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature PosNeg: The t-statistic is 0.0251572327044 and the p-value is 0.986840984667."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Race: The t-statistic is 0.0172955974843 and the p-value is 0.99997744142."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Relig: The t-statistic is 0.0503144654088 and the p-value is 0.387801857974."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature St: The t-statistic is 0.0534591194969 and the p-value is 0.31529513865."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature WlbPhycs: The t-statistic is 0.0581761006289 and the p-value is 0.225064703162."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature WlbPsyc: The t-statistic is 0.0487421383648 and the p-value is 0.427654148908."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature bigramFreq: The t-statistic is 0.0455974842767 and the p-value is 0.513764264484."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature misspeltWord: The t-statistic is 0.0251572327044 and the p-value is 0.986840984667."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature perfectRhymeFreq: The t-statistic is 0.0298742138365 and the p-value is 0.935720416706."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature sentence_count: The t-statistic is 0.0393081761006 and the p-value is 0.701351051074."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature slantRhymeFreq: The t-statistic is 0.0518867924528 and the p-value is 0.350319744302."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature trigramFreq: The t-statistic is 0.059748427673 and the p-value is 0.199780810088."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "It is also possible to change the number of poems that we want to compare also because the user on average might achieve progress at different points with different features. For example, a poet might start writing longer poems from 5th poem on but not make permanent gains in trigram frequencies until much later.\n",
      "\n",
      "Running the analysis with different cutoff points does not provide any useful insights, however. From an A/B test perspective, we cannot say that two samples look different from each other for any given feature."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ab_test(6,nix,grouped)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Total number of 474 poets\n",
        "For the feature ABS: The t-statistic is 0.0295358649789 and the p-value is 0.558478974107."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature EnlTot: The t-statistic is 0.0464135021097 and the p-value is 0.0908247320514."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Female: The t-statistic is 0.0253164556962 and the p-value is 0.747159977819."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Male: The t-statistic is 0.0260196905767 and the p-value is 0.716167130478."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Object: The t-statistic is 0.0344585091421 and the p-value is 0.361637420212."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Polit: The t-statistic is 0.0253164556962 and the p-value is 0.747159977819."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature PosNeg: The t-statistic is 0.021800281294 and the p-value is 0.88473120683."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Race: The t-statistic is 0.0203938115331 and the p-value is 0.926460813379."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature Relig: The t-statistic is 0.0274261603376 and the p-value is 0.652939937831."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature St: The t-statistic is 0.0330520393812 and the p-value is 0.413171158957."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature WlbPhycs: The t-statistic is 0.0232067510549 and the p-value is 0.834343257756."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature WlbPsyc: The t-statistic is 0.0330520393812 and the p-value is 0.413171158957."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature bigramFreq: The t-statistic is 0.0344585091421 and the p-value is 0.361637420212."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature misspeltWord: The t-statistic is 0.0189873417722 and the p-value is 0.958143834265."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature perfectRhymeFreq: The t-statistic is 0.0210970464135 and the p-value is 0.906787165354."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature sentence_count: The t-statistic is 0.0182841068917 and the p-value is 0.970092145711."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature slantRhymeFreq: The t-statistic is 0.0309423347398 and the p-value is 0.497907989944."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "For the feature trigramFreq: The t-statistic is 0.0253164556962 and the p-value is 0.747159977819."
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Income Analysis"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The second part of this writeup analyzes literacy skills across different demographics, particularly the income level versus the trigram frequency. We take trigram frequency as a proxy for language mastery. Advanced language skills should enable the poet to string together unexpected combinations of words, hence result in a lower trigram frequeny. \n",
      "\n",
      "\n",
      "For each geographical region, we calculate the median value for each feature. We require a minimum number of poems for any given tract to avoid small sample bias. Then we run a linear regression to find the income - normalized trigram relationship. The charts illustrate the relationship. X-axis is the income, Y-axis is the normalized trigram frequency for the region.\n",
      "\n",
      "We notice that there is some downward trend in trigram frequency which is what we were hoping for."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "features = pd.read_csv('data/poetry_features.csv')\n",
      "\n",
      "features = features.drop(['punctFreq','alliterFreq','unigramFreq','Race'],axis=1)\n",
      "features.index = features['nid']\n",
      "features = features.drop(['nid','created','uid'],axis=1)\n",
      "\n",
      "\n",
      "tracts = pd.read_csv('data/location_tracts.csv')\n",
      "loc = tracts[['nid','AcsHouseholdIncomeMedian','TractCode']]\n",
      "loc.index = loc['nid']\n",
      "loc = loc.drop('nid',axis=1)\n",
      "features_with_loc = loc.join(features)\n",
      "features_with_loc = features_with_loc.dropna(axis=0)\n",
      "\n",
      "features_with_loc['trigramFreq'] = (features_with_loc['trigramFreq'] - features_with_loc['trigramFreq'].mean()) / float(features_with_loc['trigramFreq'].std())\n",
      "\n",
      "\n",
      "#Group By Tracts. #Take tracts with only at least 20 poems. 139 tracts.\n",
      "tract_size = features_with_loc.groupby('TractCode').size()\n",
      "tract_list = tract_size[tract_size>20]\n",
      "#Subset of feature set\n",
      "features_with_loc['take'] = features_with_loc['TractCode'].map(lambda x: x in tract_list)\n",
      "features_with_loc_subset = features_with_loc.dropna(axis=0)\n",
      "features_with_loc_subset = features_with_loc[features_with_loc['take']==True]\n",
      "\n",
      "#Group By TractCode. Take the median. 139 Tracts in general\n",
      "features_by_tract = features_with_loc_subset.groupby('TractCode').aggregate('median')\n",
      "features_by_tract = features_by_tract.drop(['take'],axis=1)\n",
      "features_by_tract['AcsHouseholdIncomeMedian'] = features_by_tract['AcsHouseholdIncomeMedian'].map(lambda x: int(x))\n",
      "\n",
      "\n",
      "trigram_by_tract = pd.concat([features_by_tract['trigramFreq'],np.log(features_by_tract['AcsHouseholdIncomeMedian'])],axis=1)\n",
      "\n",
      "print 'Number of regions', len(trigram_by_tract)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of regions 136\n"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def average_progress_chart(data):\n",
      "\tfigsize(20, 15)\n",
      "\n",
      "\tfig = plt.figure()\n",
      "\tsx = plt.subplot(1,1,1)\n",
      "\tplt.setp(sx.get_yticklabels(), visible=False)\n",
      "\n",
      "\n",
      "\t#Median for each poem number first\n",
      "\t#print feature\n",
      "\ty = data.values[:,0]\n",
      "\tX = data['AcsHouseholdIncomeMedian'].values\n",
      "\tX = sm.add_constant(X)\n",
      "\tres = sm.OLS(y,X).fit()\n",
      "\tbetas_median = res.params[1]\n",
      "\t#Plot the Progress\n",
      "\t#Scatter\n",
      "\tplt.scatter(X[:,1],y, alpha=0.9,marker=(6,0))\n",
      "\t#Line\n",
      "\tx_ = np.unique(X[:,1])\n",
      "\ty_ = (res.params[0] + res.params[1]*x_)\n",
      "\t#Fit the Line of the regression\n",
      "\tplt.plot(x_,y_,color='red')\t\n",
      "\t#plt.legend([column])\n",
      "\t#xlim(0,cut)\n",
      "\tplt.autoscale(tight=True)\n",
      "\t#Linear Fit\n",
      "\tplt.text(x_.min(), y.max(), 'beta of the slope is {:10.4f} with p-value of {:10.4f}'.format(res.params[1],res.f_pvalue), fontsize=20)\n",
      "\t#Labels\n",
      "\tsx.set_ylabel('Trigram Frequencies')\n",
      "\tsx.set_xlabel('Income Levels')\n",
      "\tsx.set_title('Trigram Frequencies by Income Levels')\n",
      "\tprint res.summary()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 34
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "However, the explanatory power of the slope is not very high with R-squared around 5%. Nonetheless, the downtrend in trigram frequency with higher income levels is visually observable."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "\n",
      "average_progress_chart(trigram_by_tract)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "                            OLS Regression Results                            \n",
        "==============================================================================\n",
        "Dep. Variable:                      y   R-squared:                       0.053\n",
        "Model:                            OLS   Adj. R-squared:                  0.046\n",
        "Method:                 Least Squares   F-statistic:                     7.501\n",
        "Date:                Thu, 24 Apr 2014   Prob (F-statistic):            0.00701\n",
        "Time:                        12:24:40   Log-Likelihood:                 24.357\n",
        "No. Observations:                 136   AIC:                            -44.71\n",
        "Df Residuals:                     134   BIC:                            -38.89\n",
        "Df Model:                           1                                         \n",
        "==============================================================================\n",
        "                 coef    std err          t      P>|t|      [95.0% Conf. Int.]\n",
        "------------------------------------------------------------------------------\n",
        "const          1.5249      0.513      2.971      0.004         0.510     2.540\n",
        "x1            -0.1303      0.048     -2.739      0.007        -0.224    -0.036\n",
        "==============================================================================\n",
        "Omnibus:                       31.445   Durbin-Watson:                   1.962\n",
        "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               51.949\n",
        "Skew:                          -1.102   Prob(JB):                     5.24e-12\n",
        "Kurtosis:                       5.075   Cond. No.                         320.\n",
        "==============================================================================\n"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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6QkNDERoaKncYRAUW7xEi43iPEL0e7xMi43iPFH7G8i0crkVEREREREREZAaY5CEiIiIi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fDCC3t8GAAA9LZLL70mtdolGTRo49Rqh+Wmm9ZPW1tbmpubi54GAF3qMvI8+eSTvTADAACWFpX/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\n0bF31lprf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ZEHAAAAoAREHgAAAIASEHkAAAAASkDkAQAAACgBkQcAAACgBEQeAAAAgBIQ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\nAYY8kiRJkiRJMcCQR5IkSZIkKQb8BY8F6CyxBiVcAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 52
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The last step is to run a simple two-sided t-test to see if the means of literacy skills for poets from high-income and low-income are different statistically. We use the median income level to split the data into two equal-sized components."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def ab_test_income(data):\n",
      "\n",
      "    figsize(25, 10)\n",
      "    fig = plt.figure()\n",
      "    \n",
      "    median_income = trigram_by_tract.AcsHouseholdIncomeMedian.median()\n",
      "    a = trigram_by_tract['trigramFreq'][trigram_by_tract.AcsHouseholdIncomeMedian<=median_income]\n",
      "    b = trigram_by_tract['trigramFreq'][trigram_by_tract.AcsHouseholdIncomeMedian>median_income]\n",
      "\n",
      "\n",
      "\n",
      "    lp = np.linspace(min(min(a),min(b)),max(max(a),max(b)),10)\n",
      "    ax = plt.subplot(211)\n",
      "    plt.hist(a,bins=lp,alpha=0.5,color=\"#467821\")\n",
      "    plt.legend(['Lower Income'])\n",
      "    ax = plt.subplot(212)\n",
      "    plt.hist(b,bins=lp,alpha=0.5,color=\"#7A68A6\")\n",
      "    plt.autoscale(tight=True)\n",
      "    plt.legend(['Higher Income'])\n",
      "    \n",
      "\n",
      "    #two_sample = stats.ttest_ind(a, b)\n",
      "    #test_stat = stats.ranksums(a, b) \n",
      "    test_stat = stats.ks_2samp(a, b)\n",
      "    print 'The mean trigram frequency for poets from high-income neighborhoods is {0}'.format(a.mean())\n",
      "    print 'The mean trigram frequency for poets from high-income neighborhoods is {0}'.format(b.mean())\n",
      "    print 'The t-statistic is {0} and the p-value is {1}.'.format(test_stat[0],test_stat[1])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 60
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The chart below shows the trigram frequency distribution for each subgroup. A lower frequency indicates a higher sophistication. We find weak evidence that the poets from high-income areas have superior language skills as measured by trigram frequencies. There are two possible problems with this finding. First, the zip-code / tract-level location might not be granular enough and have a high variance attached in terms of income levels. Thus, the median income level might not be a good representation of the income level of given poet. Secondly, trigram frequency might not be the best metrics to measure the language sophistication. In the future iterations, we might need to design a more refined metric to measure the literacy levels given the poem. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ab_test_income(trigram_by_tract)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "The mean trigram frequency for poets from high-income neighborhoods is 0.149314053871\n",
        "The mean trigram frequency for poets from high-income neighborhoods is 0.0903278625066\n",
        "The t-statistic is 0.205882352941 and the p-value is 0.0974667982579.\n"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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      }
     ],
     "prompt_number": 61
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}