parente/README.md

## README.md

      
    Raw
  

              README.md
            
          
    See https://github.com/parente/nbestimate for on-going updates to the data and notebook.

  
## ipynb_count.ipynb
{
 "cells": [
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      }
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   "source": [
    "# Estimate of Jupyter Notebooks on GitHub\n",
    "\n",
    "This notebook shows the historical count and future estimate of the number of `*.ipynb` files on GitHub. The daily count comes from executing the query [extension:ipynb nbformat_minor](https://github.com/search?utf8=%E2%9C%93&q=extension%3Aipynb+nbformat_minor) once a day, on most days. We re-render the notebook and publish it daily after the update."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "layout": {
       "col": 0,
       "height": 9,
       "row": 5,
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      }
     }
    }
   },
   "source": [
    "## Assumptions\n",
    "\n",
    "1. That the search query hits and notebooks on GitHub are in 1:1 correspondence.\n",
    "1. That GitHub is accurately reporting the total number of `*.ipynb` file hits.\n",
    "1. That the result is **not** inflated due to GitHub forks.\n",
    "    * Evidence: We do not see the tutorial notebooks from the ipython/ipython GitHub repository duplicated in the search results because of the 2,000+ forks of the ipython/ipython repo.\n",
    "1. That the result **is** inflated a tiny bit by manually created duplicates of notebooks.\n",
    "    * Evidence: Some people seem to download their favorite notebooks and then upload them into their own git repositories for safe keeping."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "## Prerequisites\n",
    "\n",
    "1. `jupyter/datascience-notebook:9c0c4a1fc008` Docker image\n",
    "2. `beautifulsoup4==4.4.1` which is installed in the next cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mYou are using pip version 8.1.1, however version 8.1.2 is available.\r\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\r\n"
     ]
    }
   ],
   "source": [
    "!pip install 'beautifulsoup4==4.4.*' > /dev/null"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.simplefilter('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "import time\n",
    "import requests\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "from __future__ import division\n",
    "from bs4 import BeautifulSoup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "mpl.style.use('ggplot')\n",
    "figsize = (14,7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was last rendered on 2016-08-14.\n"
     ]
    }
   ],
   "source": [
    "today = time.strftime(\"%Y-%m-%d\")\n",
    "print('This notebook was last rendered on {}.'.format(today))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "## Raw Hits\n",
    "\n",
    "First, let's load the historical data into a DataFrame indexed by date."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "hits_df = pd.read_csv('ipynb_counts.csv', index_col=0, header=0, parse_dates=True)\n",
    "hits_df.reset_index(inplace=True)\n",
    "hits_df.drop_duplicates(cols='date', inplace=True)\n",
    "hits_df.set_index('date', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hits</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-08-11</th>\n",
       "      <td>465395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-08-12</th>\n",
       "      <td>466405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-08-13</th>\n",
       "      <td>467213</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              hits\n",
       "date              \n",
       "2016-08-11  465395\n",
       "2016-08-12  466405\n",
       "2016-08-13  467213"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hits_df.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "Now let's fetch (and save) today's count if we haven't already."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "if today not in hits_df.index:\n",
    "    resp = requests.get('https://github.com/search?p=2&q=extension%3Aipynb+nbformat_minor&ref=searchresults&type=Code&utf8=%E2%9C%93')\n",
    "    resp.raise_for_status()\n",
    "    soup = BeautifulSoup(resp.content, 'html.parser')\n",
    "    elem = soup.find('span', {'class': 'counter'})\n",
    "    count_now = int(elem.text.replace(',',''))\n",
    "    # make sure the index remains a timestamp\n",
    "    hits_df.loc[pd.Timestamp(today)] = count_now\n",
    "    # save to the same format we read\n",
    "    hits_df.to_csv('ipynb_counts.csv', date_format='%Y-%m-%d', index_label='date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-08-12</th>\n",
       "      <td>466405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-08-13</th>\n",
       "      <td>467213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-08-14</th>\n",
       "      <td>467836</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              hits\n",
       "2016-08-12  466405\n",
       "2016-08-13  467213\n",
       "2016-08-14  467836"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hits_df.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "There might be missing counts for days that we failed to sample. We build up the expected date range and insert NaNs for dates we missed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "til_today = pd.date_range(hits_df.index[0], hits_df.index[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "hits_df = hits_df.reindex(til_today)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "Now we plot the known notebook counts for each day we've been tracking the query results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "urth": {
     "dashboard": {
      "layout": {
       "col": 0,
       "height": 18,
       "row": 14,
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    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f394f0798d0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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+ffqYb775xv25y+UyL7zwgmnXrp0JCAgwYWFhpmfPnub99993bzNr1ixzySWXGLvdbrp1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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f394f62cc88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = hits_df.plot(title=\"GitHub search hits for {} days\".format(len(hits_df)), figsize=figsize)\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('# of ipynb files')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Smoothed Hits"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "The outliers in the data are from GitHub reporting drastically different counts when we sample. We suspect this happens when they rebuild their search index. We'll filter them out now by removing any daily change greater than 2.5 standard deviations from the mean daily change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "daily_deltas = (hits_df.hits - hits_df.hits.shift()).fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "outliers = abs(daily_deltas - daily_deltas.mean()) > 2.5*daily_deltas.std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "hits_df.ix[outliers] = np.NaN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "Now we'll do simple linear interpolation for any missing values over days that we failed to sample and days that had outlier counts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "hits_df = hits_df.interpolate(method='time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WrZvR9Wql4enpiQMHDhhNi4qKMgxiUhZdunSBlBJnz541mn7u3Dk0bty4yPxr1qxBnz59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\nRgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f394f62cac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = hits_df.plot(title=\"GitHub search hits for {} days sans outliers\".format(len(hits_df)), \n",
    "                  figsize=figsize)\n",
    "ax.set_xlabel('Date')\n",
    "_ = ax.set_ylabel('# of ipynb files')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "The total change in the number of `*.ipynb` hits between the tracking start date and today is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hits    401988\n",
       "dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_delta_nbs = hits_df.iloc[-1] - hits_df.iloc[0]\n",
    "total_delta_nbs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Daily Change"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "The daily average change is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hits    592.902655\n",
       "dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_delta_nbs = total_delta_nbs / len(hits_df)\n",
    "avg_delta_nbs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "We can look at the daily change over the entire period. We can also plot the rolling 30-day mean of the daily deltas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "daily_deltas = (hits_df.hits - hits_df.hits.shift()).fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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5quNqu6DZlrS0NKv0pK2KS/XNFW16Ao6LNY6HfRwb2zgu1eP42MZxsY3jYhvHxTaOi33e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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f394ca2fd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=figsize)\n",
    "ax.plot(pd.rolling_mean(daily_deltas, window=30, min_periods=0), \n",
    "        label='30-day rolling mean of daily-change')\n",
    "ax.plot(daily_deltas, label='24-hour change')\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('Delta notebook count')\n",
    "ax.set_title('Change in notebook count')\n",
    "_ = ax.legend(loc='upper left')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at the rolling mean in isolation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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2rdCyld+HNUFBkJqB/e+7OC66GnPOL7DLl1B1+9VUPXontnCN32M6Ufbtl7Bv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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f394c9edbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=figsize)\n",
    "ax.plot(pd.rolling_mean(daily_deltas, window=30, min_periods=0))\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('Delta notebook count')\n",
    "_ = ax.set_title('30-day rolling mean of daily-change')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "render": false,
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "## Count Prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "render": false,
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "We next train an [autoregressive model](http://en.wikipedia.org/wiki/Autoregressive_model) on the time series data. We then use the model to predict the number of notebooks on GitHub a few months out."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "def train(df):\n",
    "    ar_model = sm.tsa.AR(df, freq='D')\n",
    "    ar_model_res = ar_model.fit(ic='bic')\n",
    "    return ar_model_res"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We look at the model using all data up to and including today's count, plus two historical models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "start_date='2014-10-20'\n",
    "end_date='2017-01-01'\n",
    "model_dates = [today, '2015-06-01', '2014-11-15']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "models = [train(hits_df.loc[:date]) for date in model_dates]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that the most recently selected model has more parameters allowed according to the [BIC](https://en.wikipedia.org/wiki/Bayesian_information_criterion) methodology."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2016-08-14</th>\n",
       "      <th>2015-06-01</th>\n",
       "      <th>2014-11-15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>L1.hits</th>\n",
       "      <td>1.076589</td>\n",
       "      <td>1.003372</td>\n",
       "      <td>1.001698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L2.hits</th>\n",
       "      <td>-0.285839</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L3.hits</th>\n",
       "      <td>0.212073</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>const</th>\n",
       "      <td>78.391724</td>\n",
       "      <td>-22.485983</td>\n",
       "      <td>116.524522</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         2016-08-14  2015-06-01  2014-11-15\n",
       "L1.hits    1.076589    1.003372    1.001698\n",
       "L2.hits   -0.285839         NaN         NaN\n",
       "L3.hits    0.212073         NaN         NaN\n",
       "const     78.391724  -22.485983  116.524522"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame([m.params for m in models], index=model_dates).T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We predict everything from the start date to the end date, using the model values throughout the range of known truth."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "predictions = [model.predict(start=start_date, end=end_date, dynamic=True) for model in models]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We put all of the predictions in a DataFrame alongside the ground truth for plotting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "eval_df = pd.DataFrame(predictions, index=model_dates).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "eval_df['truth'] = hits_df.hits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {
      "layout": {
       "col": 0,
       "height": 16,
       "row": 49,
       "width": 12
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kSVAqlbh06RJcXV0RHR2N/v37y9vs378f7u7uOHLkCHx8fACUPSdk06ZNKCgo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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f394c9f21d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'GitHub search hits predicted from {} until {}'.format(start_date, end_date)\n",
    "ax = eval_df.plot(title=title, figsize=figsize)\n",
    "_ = ax.set_ylabel('# of ipynb files')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "urth": {
     "dashboard": {
      "hidden": true
     }
    }
   },
   "source": [
    "We plot the residuals for each model to get a sense of how accurate it is as time marches on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {}
    }
   },
   "outputs": [],
   "source": [
    "residual_df = -eval_df.subtract(eval_df.truth, axis=0).dropna().drop('truth', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "urth": {
     "dashboard": {
      "layout": {
       "col": 0,
       "height": 15,
       "row": 65,
       "width": 12
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JCVGvMxgM8PT0rLdejoiIiIioLUmCi2l+sbNnz9Y7ZjAYUFZW5obWUEtpL59h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\nhBAa+R9wAnj5qptgqAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f394c932c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=figsize)\n",
    "for i, (name, column) in enumerate(residual_df.iteritems()):\n",
    "    ax.scatter(residual_df.index, column, c=mpl.rcParams['axes.color_cycle'][i], label=name)\n",
    "ax.legend(loc='upper left')\n",
    "ax.set_ylabel('# of ipynb files')\n",
    "ax.set_title('Residuals between predicted and truth')\n",
    "fig.autofmt_xdate()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  },
  "urth": {
   "dashboard": {
    "cellMargin": 10,
    "defaultCellHeight": 20,
    "layoutStrategy": "packed",
    "maxColumns": 12
   }
  },
  "widgets": {
   "state": {
    "7C912A8F8AFA42C983DFEDB6E1C65612": {
     "views": []
    },
    "F2A716B3A5464B808361B560AF6B923F": {
     "views": []
    }
   },
   "version": "1.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}

## ipynb_counts.csv

          
            date
            hits

            
              2014-10-07
              65848

            
              2014-10-08
              66048

            
              2014-10-09
              66419

            
              2014-10-10
              66671

            
              2014-10-11
              66695

            
              2014-10-12
              66783

            
              2014-10-13
              66984

            
              2014-10-14
              67201

            
              2014-10-15
              67499

            
              2014-10-16
              67770

            
              2014-10-17
              67862

            
              2014-10-18
              68211

            
              2014-10-19
              68303

            
              2014-10-20
              68478

            
              2014-10-21
              68761

            
              2014-10-22
              69001

            
              2014-10-23
              69357

            
              2014-10-24
              69577

            
              2014-10-25
              69831

            
              2014-10-26
              69995

            
              2014-10-27
              70313

            
              2014-10-28
              70610

            
              2014-10-29
              71239

            
              2014-10-30
              71579

            
              2014-10-31
              71810

            
              2014-11-01
              71934

            
              2014-11-02
              72037

            
              2014-11-03
              72186

            
              2014-11-04
              72558

            
              2014-11-05
              72771

            
              2014-11-06
              72966

            
              2014-11-07
              73167

            
              2014-11-08
              73473

            
              2014-11-09
              73613

            
              2014-11-10
              73859

            
              2014-11-11
              74165

            
              2014-11-12
              74470

            
              2014-11-13
              74759

            
              2014-11-14
              74909

            
              2014-11-15
              75045

            
              2014-11-16
              75616

            
              2014-11-17
              75839

            
              2014-11-18
              76179

            
              2014-11-19
              76459

            
              2014-11-20
              76757

            
              2014-11-21
              77067

            
              2014-11-22
              77387

            
              2014-11-23
              77490

            
              2014-11-24
              77725

            
              2014-11-25
              77986

            
              2014-11-26
              78319

            
              2014-11-27
              78765

            
              2014-11-28
              79396

            
              2014-11-29
              79578

            
              2014-11-30
              79800

            
              2014-12-01
              79405

            
              2014-12-02
              79819

            
              2014-12-03
              80094

            
              2014-12-04
              80375

            
              2014-12-05
              80399

            
              2014-12-06
              80892

            
              2014-12-07
              81063

            
              2014-12-08
              81352

            
              2014-12-09
              81659

            
              2014-12-10
              81834

            
              2014-12-11
              82149

            
              2014-12-12
              82358

            
              2014-12-13
              82641

            
              2014-12-14
              82794

            
              2014-12-15
              82935

            
              2014-12-16
              83171

            
              2014-12-17
              83482

            
              2014-12-18
              83789

            
              2014-12-19
              84025

            
              2014-12-20
              84194

            
              2014-12-21
              84350

            
              2014-12-22
              84471

            
              2014-12-23
              84645

            
              2014-12-24
              84656

            
              2014-12-25
              84725

            
              2014-12-26
              84805

            
              2014-12-27
              84891

            
              2014-12-28
              84953

            
              2014-12-29
              85045

            
              2014-12-30
              85268

            
              2014-12-31
              85397

            
              2015-01-01
              85497

            
              2015-01-02
              85703

            
              2015-01-03
              85820

            
              2015-01-04
              85990

            
              2015-01-05
              86329

            
              2015-01-06
              86407

            
              2015-01-07
              86581

            
              2015-01-08
              86780

            
              2015-01-09
              87064

            
              2015-01-10
              87150

            
              2015-01-11
              87253

            
              2015-01-12
              87433

            
              2015-01-13
              87662

            
              2015-01-14
              87985

            
              2015-01-15
              88324

            
              2015-01-16
              88473

            
              2015-01-17
              88785

            
              2015-01-18
              88988

            
              2015-01-19
              89288

            
              2015-01-20
              89564

            
              2015-01-21
              90091

            
              2015-01-22
              90387

            
              2015-01-23
              90578

            
              2015-01-24
              90808

            
              2015-01-25
              90967

            
              2015-01-26
              91221

            
              2015-01-27
              91472

            
              2015-01-28
              91870

            
              2015-01-29
              92187

            
              2015-01-30
              92559

            
              2015-01-31
              92932

            
              2015-02-01
              93108

            
              2015-02-02
              93382

            
              2015-02-03
              93559

            
              2015-02-04
              94067

            
              2015-02-05
              94452

            
              2015-02-06
              94765

            
              2015-02-07
              95063

            
              2015-02-08
              95305

            
              2015-02-09
              95497

            
              2015-02-10
              95816

            
              2015-02-11
              96140

            
              2015-02-12
              96594

            
              2015-02-13
              96631

            
              2015-02-14
              97165

            
              2015-02-15
              97241

            
              2015-02-16
              97498

            
              2015-02-17
              97756

            
              2015-02-18
              97871

            
              2015-02-19
              98149

            
              2015-02-20
              98611

            
              2015-02-21
              98780

            
              2015-02-22
              99184

            
              2015-02-23
              99423

            
              2015-02-24
              99855

            
              2015-02-25
              100063

            
              2015-02-26
              100541

            
              2015-02-27
              72896

            
              2015-02-28
              81562

            
              2015-03-01
              96549

            
              2015-03-02
              101560

            
              2015-03-03
              101888

            
              2015-03-04
              102342

            
              2015-03-05
              102998

            
              2015-03-06
              103430

            
              2015-03-07
              103693

            
              2015-03-08
              103693

            
              2015-03-09
              104178

            
              2015-03-10
              104841

            
              2015-03-11
              104993

            
              2015-03-12
              105336

            
              2015-03-13
              105645

            
              2015-03-14
              105901

            
              2015-03-15
              106502

            
              2015-03-16
              106911

            
              2015-03-17
              107208

            
              2015-03-18
              107450

            
              2015-03-19
              107830

            
              2015-03-20
              108252

            
              2015-03-21
              108520

            
              2015-03-22
              108723

            
              2015-03-23
              109038

            
              2015-03-24
              109500

            
              2015-03-25
              109760

            
              2015-03-26
              110214

            
              2015-03-27
              110625

            
              2015-03-28
              111051

            
              2015-03-29
              111291

            
              2015-03-30
              111623

            
              2015-03-31
              112113

            
              2015-04-01
              112432

            
              2015-04-02
              112865

            
              2015-04-03
              113765

            
              2015-04-04
              114019

            
              2015-04-05
              114119

            
              2015-04-06
              114630

            
              2015-04-07
              116383

            
              2015-04-08
              116773

            
              2015-04-09
              117363

            
              2015-04-10
              117719

            
              2015-04-11
              117943

            
              2015-04-12
              118061

            
              2015-04-13
              118245

            
              2015-04-14
              102314

            
              2015-04-15
              119081

            
              2015-04-16
              119542

            
              2015-04-17
              120005

            
              2015-04-18
              120212

            
              2015-04-19
              120518

            
              2015-04-20
              121069

            
              2015-04-21
              121493

            
              2015-04-22
              122009

            
              2015-04-23
              122705

            
              2015-04-24
              123088

            
              2015-04-25
              123739

            
              2015-04-26
              123842

            
              2015-04-27
              124122

            
              2015-04-28
              124738

            
              2015-04-29
              125306

            
              2015-04-30
              125936

            
              2015-05-01
              126401

            
              2015-05-02
              126658

            
              2015-05-03
              126899

            
              2015-05-04
              112276

            
              2015-05-05
              127962

            
              2015-05-06
              128328

            
              2015-05-07
              118833

            
              2015-05-08
              129572

            
              2015-05-09
              129795

            
              2015-05-10
              130087

            
              2015-05-11
              130570

            
              2015-05-12
              131116

            
              2015-05-13
              131477

            
              2015-05-14
              132016

            
              2015-05-15
              132430

            
              2015-05-16
              132701

            
              2015-05-17
              132808

            
              2015-05-18
              133057

            
              2015-05-19
              133363

            
              2015-05-20
              133875

            
              2015-05-21
              134178

            
              2015-05-22
              134483

            
              2015-05-23
              134751

            
              2015-05-24
              134963

            
              2015-05-25
              135177

            
              2015-05-26
              135664

            
              2015-05-27
              135975

            
              2015-05-28
              136402

            
              2015-05-29
              136954

            
              2015-05-30
              137155

            
              2015-05-31
              137514

            
              2015-06-01
              138097

            
              2015-06-02
              138567

            
              2015-06-03
              139562

            
              2015-06-04
              140043

            
              2015-06-05
              140388

            
              2015-06-06
              140581

            
              2015-06-07
              140760

            
              2015-06-08
              141337

            
              2015-06-09
              141820

            
              2015-06-10
              142167

            
              2015-06-11
              143492

            
              2015-06-12
              143901

            
              2015-06-13
              144212

            
              2015-06-14
              144412

            
              2015-06-15
              144620

            
              2015-06-16
              145222

            
              2015-06-17
              145764

            
              2015-06-18
              146263

            
              2015-06-19
              146756

            
              2015-06-20
              147073

            
              2015-06-21
              147192

            
              2015-06-22
              147540

            
              2015-06-23
              148374

            
              2015-06-24
              148806

            
              2015-06-25
              149590

            
              2015-06-26
              150033

            
              2015-06-27
              150408

            
              2015-06-28
              150784

            
              2015-06-29
              151059

            
              2015-06-30
              151501

            
              2015-07-01
              151899

            
              2015-07-02
              152307

            
              2015-07-03
              153134

            
              2015-07-04
              153536

            
              2015-07-05
              154041

            
              2015-07-06
              154288

            
              2015-07-07
              154703

            
              2015-07-08
              155141

            
              2015-07-09
              155552

            
              2015-07-10
              156081

            
              2015-07-11
              156446

            
              2015-07-12
              156834

            
              2015-07-13
              157071

            
              2015-07-14
              157464

            
              2015-07-15
              157884

            
              2015-07-16
              158453

            
              2015-07-25
              162068

            
              2015-07-26
              162256

            
              2015-07-27
              162526

            
              2015-07-28
              162958

            
              2015-07-29
              163516

            
              2015-07-30
              163776

            
              2015-07-31
              164309

            
              2015-08-01
              164675

            
              2015-08-02
              164852

            
              2015-08-03
              165119

            
              2015-08-04
              165598

            
              2015-08-05
              166020

            
              2015-08-06
              166435

            
              2015-08-07
              167025

            
              2015-08-08
              167059

            
              2015-08-09
              167379

            
              2015-08-10
              167717

            
              2015-08-11
              168079

            
              2015-08-12
              168572

            
              2015-08-13
              169020

            
              2015-08-14
              169367

            
              2015-08-15
              169628

            
              2015-08-16
              169766

            
              2015-08-17
              170113

            
              2015-08-18
              170865

            
              2015-08-19
              170369

            
              2015-08-20
              170929

            
              2015-08-21
              171476

            
              2015-08-22
              171819

            
              2015-08-23
              172086

            
              2015-08-24
              172258

            
              2015-08-25
              172712

            
              2015-08-26
              173070

            
              2015-08-27
              173544

            
              2015-08-28
              175810

            
              2015-08-29
              176299

            
              2015-08-30
              176398

            
              2015-08-31
              177044

            
              2015-09-01
              177342

            
              2015-09-02
              177761

            
              2015-09-03
              178344

            
              2015-09-04
              178905

            
              2015-09-05
              179275

            
              2015-09-06
              179399

            
              2015-09-07
              179813

            
              2015-09-08
              180100

            
              2015-09-09
              180520

            
              2015-09-10
              180802

            
              2015-09-11
              181239

            
              2015-09-12
              181780

            
              2015-09-13
              181934

            
              2015-09-14
              182312

            
              2015-09-15
              182969

            
              2015-09-16
              183583

            
              2015-09-17
              184231

            
              2015-09-18
              184942

            
              2015-09-19
              185347

            
              2015-09-20
              185665

            
              2015-09-21
              186079

            
              2015-09-22
              187046

            
              2015-09-23
              187778

            
              2015-09-24
              188162

            
              2015-09-25
              188858

            
              2015-09-26
              189254

            
              2015-09-27
              189657

            
              2015-09-28
              190141

            
              2015-09-29
              190966

            
              2015-09-30
              191667

            
              2015-10-01
              192364

            
              2015-10-02
              193022

            
              2015-10-03
              193651

            
              2015-10-04
              193931

            
              2015-10-05
              194483

            
              2015-10-06
              195119

            
              2015-10-07
              195743

            
              2015-10-08
              196954

            
              2015-10-09
              197641

            
              2015-10-10
              198067

            
              2015-10-11
              198301

            
              2015-10-12
              198846

            
              2015-10-13
              195005

            
              2015-10-14
              196995

            
              2015-10-15
              202158

            
              2015-10-16
              202741

            
              2015-10-17
              203166

            
              2015-10-18
              203503

            
              2015-10-19
              204163

            
              2015-10-20
              204788

            
              2015-10-21
              205580

            
              2015-10-22
              206340

            
              2015-10-23
              206905

            
              2015-10-24
              207511

            
              2015-10-25
              207839

            
              2015-10-26
              208757

            
              2015-10-27
              209277

            
              2015-10-28
              209882

            
              2015-10-29
              210649

            
              2015-10-30
              211293

            
              2015-10-31
              211765

            
              2015-11-01
              212145

            
              2015-11-02
              212842

            
              2015-11-03
              213537

            
              2015-11-04
              214378

            
              2015-11-05
              214966

            
              2015-11-06
              215890

            
              2015-11-07
              216580

            
              2015-11-08
              217081

            
              2015-11-09
              217772

            
              2015-11-10
              218381

            
              2015-11-11
              219072

            
              2015-11-12
              219840

            
              2015-11-13
              220827

            
              2015-11-14
              221445

            
              2015-11-15
              221786

            
              2015-11-16
              222450

            
              2015-11-17
              223270

            
              2015-11-18
              224335

            
              2015-11-19
              225050

            
              2015-11-20
              225713

            
              2015-11-21
              226190

            
              2015-11-22
              226613

            
              2015-11-23
              227239

            
              2015-11-24
              227988

            
              2015-11-25
              228490

            
              2015-11-26
              229305

            
              2015-11-27
              229744

            
              2015-11-28
              230364

            
              2015-11-29
              230757

            
              2015-11-30
              231568

            
              2015-12-01
              232361

            
              2015-12-02
              233197

            
              2015-12-03
              234118

            
              2015-12-04
              234746

            
              2015-12-05
              235828

            
              2015-12-06
              236213

            
              2015-12-07
              237078

            
              2015-12-08
              240070

            
              2015-12-09
              240417

            
              2015-12-10
              241078

            
              2015-12-11
              241865

            
              2015-12-12
              242413

            
              2015-12-13
              242755

            
              2015-12-23
              248743

            
              2015-12-24
              249613

            
              2015-12-25
              250014

            
              2015-12-26
              250276

            
              2015-12-27
              250709

            
              2015-12-28
              251333

            
              2015-12-29
              251684

            
              2015-12-30
              251984

            
              2015-12-31
              252471

            
              2016-01-01
              252850

            
              2016-01-02
              253573

            
              2016-01-03
              254027

            
              2016-01-04
              254762

            
              2016-01-05
              255860

            
              2016-01-06
              256597

            
              2016-01-07
              257423

            
              2016-01-08
              257983

            
              2016-01-09
              258563

            
              2016-01-10
              259157

            
              2016-01-11
              259743

            
              2016-01-12
              260357

            
              2016-01-13
              261086

            
              2016-01-14
              262055

            
              2016-01-15
              262959

            
              2016-01-16
              263380

            
              2016-01-17
              263776

            
              2016-01-18
              264580

            
              2016-01-19
              266002

            
              2016-01-20
              266803

            
              2016-01-21
              267892

            
              2016-01-22
              268919

            
              2016-01-23
              269675

            
              2016-01-24
              269867

            
              2016-01-25
              270425

            
              2016-01-26
              271485

            
              2016-01-27
              272266

            
              2016-01-28
              272792

            
              2016-01-29
              273463

            
              2016-01-30
              273999

            
              2016-01-31
              274529

            
              2016-02-01
              275253

            
              2016-02-02
              276350

            
              2016-02-03
              277225

            
              2016-02-04
              278208

            
              2016-02-05
              278937

            
              2016-02-06
              279479

            
              2016-02-07
              279913

            
              2016-02-08
              280657

            
              2016-02-09
              281738

            
              2016-02-10
              282527

            
              2016-02-11
              283399

            
              2016-02-12
              283963

            
              2016-02-13
              284580

            
              2016-02-14
              285082

            
              2016-02-15
              285634

            
              2016-02-16
              286867

            
              2016-02-17
              287944

            
              2016-02-18
              288813

            
              2016-02-19
              289815

            
              2016-02-20
              290546

            
              2016-02-21
              291251

            
              2016-02-22
              291984

            
              2016-02-23
              292824

            
              2016-02-24
              293924

            
              2016-02-25
              294707

            
              2016-02-26
              295736

            
              2016-02-27
              296708

            
              2016-02-28
              297365

            
              2016-02-29
              298334

            
              2016-03-01
              299574

            
              2016-03-02
              300398

            
              2016-03-03
              301161

            
              2016-03-04
              302413

            
              2016-03-05
              302485

            
              2016-03-06
              303072

            
              2016-03-07
              304194

            
              2016-03-08
              305542

            
              2016-03-09
              306706

            
              2016-03-10
              307744

            
              2016-03-11
              308842

            
              2016-03-12
              309445

            
              2016-03-13
              310188

            
              2016-03-14
              310810

            
              2016-03-15
              312029

            
              2016-03-16
              312647

            
              2016-03-17
              313682

            
              2016-03-18
              314596

            
              2016-03-19
              315618

            
              2016-03-20
              316025

            
              2016-03-21
              316609

            
              2016-03-22
              317524

            
              2016-03-23
              318585

            
              2016-03-24
              319416

            
              2016-03-25
              320462

            
              2016-03-26
              321200

            
              2016-03-27
              321772

            
              2016-03-28
              322447

            
              2016-03-29
              323410

            
              2016-03-30
              324508

            
              2016-03-31
              325322

            
              2016-04-01
              326258

            
              2016-04-02
              327172

            
              2016-04-03
              327712

            
              2016-04-04
              328765

            
              2016-04-05
              331458

            
              2016-04-06
              319294

            
              2016-04-07
              333669

            
              2016-04-09
              335836

            
              2016-04-10
              336891

            
              2016-04-11
              302920

            
              2016-04-12
              339156

            
              2016-04-13
              340505

            
              2016-04-14
              341547

            
              2016-04-15
              342674

            
              2016-04-16
              343820

            
              2016-04-18
              345854

            
              2016-04-19
              347211

            
              2016-04-20
              348358

            
              2016-04-21
              349507

            
              2016-04-22
              350732

            
              2016-04-23
              351743

            
              2016-04-26
              354825

            
              2016-05-01
              360365

            
              2016-05-02
              361043

            
              2016-05-03
              362068

            
              2016-05-04
              363063

            
              2016-05-05
              363907

            
              2016-05-06
              365008

            
              2016-05-07
              366211

            
              2016-05-08
              367140

            
              2016-05-09
              368203

            
              2016-05-11
              370739

            
              2016-05-12
              371523

            
              2016-05-13
              372781

            
              2016-05-16
              374681

            
              2016-05-17
              375944

            
              2016-05-21
              380480

            
              2016-05-23
              381126

            
              2016-05-26
              383913

            
              2016-05-27
              385240

            
              2016-05-30
              387036

            
              2016-05-31
              388068

            
              2016-06-09
              396631

            
              2016-06-11
              398945

            
              2016-06-15
              403719

            
              2016-06-16
              405095

            
              2016-06-17
              405663

            
              2016-06-18
              407144

            
              2016-06-19
              407754

            
              2016-06-22
              410914

            
              2016-06-23
              411475

            
              2016-06-26
              414452

            
              2016-06-27
              415694

            
              2016-06-28
              416383

            
              2016-06-30
              419077

            
              2016-07-05
              422824

            
              2016-07-06
              423808

            
              2016-07-07
              424874

            
              2016-07-08
              426073

            
              2016-07-09
              426718

            
              2016-07-10
              427334

            
              2016-07-11
              428686

            
              2016-07-12
              429750

            
              2016-07-13
              430557

            
              2016-07-14
              431801

            
              2016-07-15
              433085

            
              2016-07-16
              433812

            
              2016-07-19
              436740

            
              2016-07-20
              437600

            
              2016-07-21
              438672

            
              2016-07-22
              439238

            
              2016-07-23
              440062

            
              2016-07-24
              440573

            
              2016-07-25
              441423

            
              2016-07-26
              442253

            
              2016-07-27
              444088

            
              2016-07-28
              445292

            
              2016-07-29
              448722

            
              2016-07-30
              449783

            
              2016-08-03
              455013

            
              2016-08-04
              456452

            
              2016-08-05
              458049

            
              2016-08-06
              458520

            
              2016-08-07
              459056

            
              2016-08-08
              461944

            
              2016-08-09
              463323

            
              2016-08-10
              464050

            
              2016-08-11
              465395

            
              2016-08-12
              466405

            
              2016-08-13
              467213

            
              2016-08-14
              467836
	date	hits
	2014-10-07	65848
	2014-10-08	66048
	2014-10-09	66419
	2014-10-10	66671
	2014-10-11	66695
	2014-10-12	66783
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	2014-10-14	67201
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	2014-11-03	72186
	2014-11-04	72558
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	2016-07-06	423808
	2016-07-07	424874
	2016-07-08	426073
	2016-07-09	426718
	2016-07-10	427334
	2016-07-11	428686
	2016-07-12	429750
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	2016-07-26	442253
	2016-07-27	444088
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	2016-08-14	467836