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Watch it trending: https://redd.it/714yrq
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Watch it Trending\n", | |
"\n", | |
"This is an analysis of the viewership of my [ITAP post](https://redd.it/714yrq) on Reddit. I posted it on the afternoon of the 19th and it quickly hopped to the top of /r/itookapicture. I updated it continuously with new findings, but as of 24 after the initial post, the data got boring so I stopped.\n", | |
"\n", | |
"I learned the following so far:\n", | |
"- Surprise, **views and points appear correlated**.\n", | |
"- **initial viewers were more enthusiastic** (more points per view) while the later viewers were less so.\n", | |
"- **Morning viewers were even more enthusiastic** and the morning data seems subject to lots of fluctuations, probably because the quantity of viewers is just so much lower, making the data more subject to noise.\n", | |
"- [UPDATE]: 19 hours after the beginning of this experiment, the post has **dropped to #2** on /r/itookapicture. The discontinuity is clearly visible. Interestingly, **the number of points per view dropped along with viewership**. This may indicate that people are more likely to upvote the top post than the second-place post in a subreddit (confirmation bias?).\n", | |
"\n", | |
"**Scroll to the end for charts**.\n", | |
"\n", | |
"The image from the original post:\n", | |
"\n", | |
"\n", | |
"As I watched it trend, I began frenziedly collecting data and writing a script. Here's what I've got so far!\n", | |
"\n", | |
"**Scroll to the end for charts**." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 22, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"import datetime\n", | |
"\n", | |
"from dateutil.parser import parse as dateparse\n", | |
"import matplotlib.pyplot as plt\n", | |
"from pandas import DataFrame\n", | |
"import petl" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 23, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"(\n", | |
" petl.fromcsv('reddit data.csv')\n", | |
" .cat(petl.fromcsv('reddit data2.csv'))\n", | |
" .tocsv('latest full reddit trend.csv')\n", | |
")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 24, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"950 rows processed\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style>\n", | |
" .dataframe thead tr:only-child th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: left;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>time</th>\n", | |
" <th>percent</th>\n", | |
" <th>views</th>\n", | |
" <th>score</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>945</th>\n", | |
" <td>2017-09-20 14:32:02.283120</td>\n", | |
" <td>0.95</td>\n", | |
" <td>64700.0</td>\n", | |
" <td>11752.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>946</th>\n", | |
" <td>2017-09-20 14:33:03.698235</td>\n", | |
" <td>0.95</td>\n", | |
" <td>64700.0</td>\n", | |
" <td>11754.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>947</th>\n", | |
" <td>2017-09-20 14:34:05.343813</td>\n", | |
" <td>0.95</td>\n", | |
" <td>64700.0</td>\n", | |
" <td>11755.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>948</th>\n", | |
" <td>2017-09-20 14:35:06.990253</td>\n", | |
" <td>0.95</td>\n", | |
" <td>64700.0</td>\n", | |
" <td>11757.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>949</th>\n", | |
" <td>2017-09-20 14:36:08.522882</td>\n", | |
" <td>0.95</td>\n", | |
" <td>64700.0</td>\n", | |
" <td>11754.0</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" time percent views score\n", | |
"945 2017-09-20 14:32:02.283120 0.95 64700.0 11752.0\n", | |
"946 2017-09-20 14:33:03.698235 0.95 64700.0 11754.0\n", | |
"947 2017-09-20 14:34:05.343813 0.95 64700.0 11755.0\n", | |
"948 2017-09-20 14:35:06.990253 0.95 64700.0 11757.0\n", | |
"949 2017-09-20 14:36:08.522882 0.95 64700.0 11754.0" | |
] | |
}, | |
"execution_count": 24, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"table = (\n", | |
" petl.fromcsv('latest full reddit trend.csv')\n", | |
" .convert({\n", | |
" 'time': dateparse,\n", | |
" 'views': lambda str_views: float(str_views[:-1]) * 1000, # Hastily remove the 'k' at the end\n", | |
" 'score': float, # reddit points\n", | |
" 'percent': lambda str_pct: int(str_pct) * 0.01,\n", | |
" })\n", | |
" .selectnotnone('views')\n", | |
")\n", | |
"print(table.nrows(), 'rows processed')\n", | |
"df = table.todataframe()\n", | |
"df.tail()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 25, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style>\n", | |
" .dataframe thead tr:only-child th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: left;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>time</th>\n", | |
" <th>percent</th>\n", | |
" <th>views</th>\n", | |
" <th>score</th>\n", | |
" <th>elapsed (min)</th>\n", | |
" <th>views/min</th>\n", | |
" <th>points/min</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>15</th>\n", | |
" <td>2017-09-19 16:53:40</td>\n", | |
" <td>0.96</td>\n", | |
" <td>4000.0</td>\n", | |
" <td>1286.0</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>16</th>\n", | |
" <td>2017-09-19 17:00:00</td>\n", | |
" <td>0.96</td>\n", | |
" <td>4200.0</td>\n", | |
" <td>1359.0</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>17</th>\n", | |
" <td>2017-09-19 17:01:00</td>\n", | |
" <td>0.96</td>\n", | |
" <td>4300.0</td>\n", | |
" <td>1378.0</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>18</th>\n", | |
" <td>2017-09-19 17:02:17</td>\n", | |
" <td>0.96</td>\n", | |
" <td>4400.0</td>\n", | |
" <td>1391.0</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>19</th>\n", | |
" <td>2017-09-19 17:04:30</td>\n", | |
" <td>0.96</td>\n", | |
" <td>4500.0</td>\n", | |
" <td>1403.0</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>20</th>\n", | |
" <td>2017-09-19 17:06:00</td>\n", | |
" <td>0.96</td>\n", | |
" <td>4600.0</td>\n", | |
" <td>1418.0</td>\n", | |
" <td>61.000000</td>\n", | |
" <td>40.983607</td>\n", | |
" <td>9.836066</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>21</th>\n", | |
" <td>2017-09-19 17:08:30</td>\n", | |
" <td>0.96</td>\n", | |
" <td>4700.0</td>\n", | |
" <td>1447.0</td>\n", | |
" <td>61.500000</td>\n", | |
" <td>40.650407</td>\n", | |
" <td>10.081301</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>22</th>\n", | |
" <td>2017-09-19 17:12:00</td>\n", | |
" <td>0.96</td>\n", | |
" <td>4900.0</td>\n", | |
" <td>1497.0</td>\n", | |
" <td>62.833333</td>\n", | |
" <td>41.379310</td>\n", | |
" <td>10.472149</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>23</th>\n", | |
" <td>2017-09-19 17:14:50</td>\n", | |
" <td>0.96</td>\n", | |
" <td>5100.0</td>\n", | |
" <td>1531.0</td>\n", | |
" <td>62.333333</td>\n", | |
" <td>43.315508</td>\n", | |
" <td>10.540107</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>24</th>\n", | |
" <td>2017-09-19 17:18:00</td>\n", | |
" <td>0.96</td>\n", | |
" <td>5300.0</td>\n", | |
" <td>1569.0</td>\n", | |
" <td>60.783333</td>\n", | |
" <td>46.065259</td>\n", | |
" <td>10.545654</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" time percent views score elapsed (min) views/min \\\n", | |
"15 2017-09-19 16:53:40 0.96 4000.0 1286.0 NaN NaN \n", | |
"16 2017-09-19 17:00:00 0.96 4200.0 1359.0 NaN NaN \n", | |
"17 2017-09-19 17:01:00 0.96 4300.0 1378.0 NaN NaN \n", | |
"18 2017-09-19 17:02:17 0.96 4400.0 1391.0 NaN NaN \n", | |
"19 2017-09-19 17:04:30 0.96 4500.0 1403.0 NaN NaN \n", | |
"20 2017-09-19 17:06:00 0.96 4600.0 1418.0 61.000000 40.983607 \n", | |
"21 2017-09-19 17:08:30 0.96 4700.0 1447.0 61.500000 40.650407 \n", | |
"22 2017-09-19 17:12:00 0.96 4900.0 1497.0 62.833333 41.379310 \n", | |
"23 2017-09-19 17:14:50 0.96 5100.0 1531.0 62.333333 43.315508 \n", | |
"24 2017-09-19 17:18:00 0.96 5300.0 1569.0 60.783333 46.065259 \n", | |
"\n", | |
" points/min \n", | |
"15 NaN \n", | |
"16 NaN \n", | |
"17 NaN \n", | |
"18 NaN \n", | |
"19 NaN \n", | |
"20 9.836066 \n", | |
"21 10.081301 \n", | |
"22 10.472149 \n", | |
"23 10.540107 \n", | |
"24 10.545654 " | |
] | |
}, | |
"execution_count": 25, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"trailing_average_data_points = 20\n", | |
"nanoseconds_to_minutes = 6 * 10**10\n", | |
"trailing = df.shift(trailing_average_data_points) # Shift by 10 rows to get a trailing average for smoothing\n", | |
"df['elapsed (min)'] = (df['time'] - trailing['time']).astype('timedelta64') / nanoseconds_to_minutes\n", | |
"\n", | |
"df['views/min'] = (df['views'] - trailing['views']) / df['elapsed (min)']\n", | |
"df['points/min'] =(df['score'] - trailing['score']) / df['elapsed (min)']\n", | |
"\n", | |
"df.head(trailing_average_data_points + 5).tail(10) # NaNs expected before there's enough data for the trailing average" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Initial plotting\n", | |
"\n", | |
"Let's just take a quick look at the posts and views" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 26, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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5z0Dhjkph4tlP1zLjD7O9HorMFJZszicUMAyvTvtwQ0UoYJRFvB6MqkXXGtok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\noTWsAAAAAElFTkSuQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x2eb9cf7cda0>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"from mpl_toolkits.axes_grid1 import host_subplot\n", | |
"import mpl_toolkits.axisartist as AA\n", | |
"import matplotlib.pyplot as plt\n", | |
"\n", | |
"plt.figure(figsize=(15, 8))\n", | |
"host = host_subplot(111, axes_class=AA.Axes)\n", | |
"plt.subplots_adjust(right=0.75)\n", | |
"\n", | |
"par1 = host.twinx()\n", | |
"\n", | |
"offset = 60\n", | |
"host.set_xlim(min(df['time']), max(df['time']))\n", | |
"\n", | |
"host.set_xlabel(\"Time\")\n", | |
"host.set_ylabel(\"Score\")\n", | |
"par1.set_ylabel(\"Views\")\n", | |
"\n", | |
"score_plot, = host.plot(\n", | |
" df['time'],\n", | |
" df['score'],\n", | |
" label='Score',\n", | |
" marker='x',\n", | |
")\n", | |
"views_plot, = par1.plot(\n", | |
" df['time'],\n", | |
" df['views'],\n", | |
" label='Views (k)',\n", | |
" marker='x',\n", | |
")\n", | |
"\n", | |
"host.legend()\n", | |
"\n", | |
"host.axis[\"left\"].label.set_color(score_plot.get_color())\n", | |
"par1.axis[\"right\"].label.set_color(views_plot.get_color())\n", | |
"\n", | |
"plt.title('Score and Views over Time')\n", | |
"plt.grid()\n", | |
"plt.draw()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Interpretation\n", | |
"\n", | |
"## Data Quality\n", | |
"\n", | |
"- *Fuzziness at the beginning*: initially I was manually hitting reddit to collect this data. Eventually I wrote a script (while also stopping every few minutes to manually collect another data point). That was exciting.\n", | |
"- *Gap in the middle*: \"maximum recursion depth exceeded\" in my script at 2 AM. My frenzied script-writing had a bug due to petl's laziness. Oops.\n", | |
"\n", | |
"## Overall trend\n", | |
"\n", | |
"Obviously there is some initial acceleration for the first ~2 hours, then a constant slope, then a slowdown as people went to bed. Let's look at derivatives to get a better idea:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 27, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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6cDJ/Kh/Yz8Vhx3Y4sVNTbFr0LHX/1NRU5syZw+LFi2nVqhXDhg3jrrvuKrFs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\n0LTXkFz6RI9TQxXBzXNjVOz0NBxBVBxRl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pM76Bjc/CaRFpZ2WXAQmEVKWD9gN7AKWE1K\n+akLO60LxiLgc+B6c5L5WGsubMlzMwuYH528sgj4CZifnzrOfHpz/PMiCwlEhUnSkdfHd1CMmpv6\ndTz7NW5kIYENr6rbBZ0Umpb4lBaWpuE9v7wBuS7KaSey4f+GgKUaQqJAFKGDESoLoboY+t7spsSX\nkVvMxgPF6ATJYyOj1wk88JFU5PPWAW7KkBoaGueRxjVuwFnTRpY+XrZ/Gc8Oc/dStJbGnpumwtLy\nyvIY3H4wGccyAAj2DaZtQFtO1p7kRI1UcNhitzB7w2zu7esUBmiM6/gHTjlr1hTVFnFf3H2A5Omp\nsao3b2TvUHOFOM3FzS9rZEOusQBCk/1dCnm6HmeVZBFpcF8r5JTmML7beK/G1LiESSn/Ask7ASlh\nA4AbgOWkhOmBNUhencymB7g0MKYb30Uy7K4zJ5krW+rviWbV0vJTx8Xnp44LBB4EIoG10ckrK6OT\nV/4anbxyZnTySp/mrr9UGBEbyfxJ/dl7rJKYyECeX/G74q05JzVuOg2UvDPBbdXtel/JsLFbNRlo\nDe/pNBAKtjiPq4ugZD9UHIWj2+D4Htj9mVRLqeh3NyU+ud7NkOg26AQB15I3PdsFY7WJ2EUtPE1D\n40Ij12JxFRSYtW4W8RHxyiK/U7C0CbEoa5GbbHJmYSaLshZ5dS/ZEyKHkvnoncsBV9WzW7rfQphv\nmOo62ZuypVD6XqqwVZCWmNasaphcGwckA8mVpTlLmbVulqqPjKwS11z4/wu/NR/C76p21hKi2LSg\nwLT4afjr/N2uua3HbS2Pq+XcXF6klO8kpfxlUsrHAOOBbGD6BZ7V+eIDoB/wvTHd+LMx3fiUMd3Y\nsuqGC15JQeenjluVnzru1vzUcW2BK5GSiv4GlDV/5aVDh1B/RCCvuIapQ688twnUMaNh1BNwKt/Z\n1u1qybjZ8IomA63ROmJGw4hmCvraLWCrlxTVJn/h5hHcc6Sch67uxtb8UwT46vlk+lBiI4MA2H64\nDEEQ+PD+IZqogIbGBUauCzNzrTMns8Zaw3e53ylekq6hUj3uxoZQa4t7ynVrPIWluYZPCYKgGBg6\nQYeIqMrJAQjQBWCKMjUbduV6TeP6OHbRjtVuVWrruFJQWaD0aYqmjAbXdvn98dW1nN/dlBS0TGNx\ng8avp7kxNS4DUsLuJCUsxPH8WeAjII+U8v+5kNM6X5iTzFvMSeYUc5L5KiSltMPAP4zpxl3GdOMi\nY7pxYktjeFvnhujklQ9FJ6/8ID913ClgKTAzP3Vc0GnP/iLn7Q25ZOQWK3+/3S2F+/XrHMaHGfk8\nvdyzdORZw251JoF3GQrHzZLXJu52KSRNQ6M1XPUPaNe3+T7DZ3oMdXwwMRabHcYnRPHOPYMYERuJ\nXu/8kbU6fpjlz4uGhsaFwxRlUmrKgLSo/zr3a8V7UueocyUbQrPWzeKlLS+1WkFNNhY8CQq4CgMI\nOI0bX50vNtGm6gtQa68lszDToxS0jKtBUNag3lcd1WkU47uNZ2B7942/opoiFmUtUoWyNebm2Jub\nPAeScSKLG3iqxdO4L0CtpVYJd5O9RpmFmVTYKtyMG2/U0kATFLiM+Bcp5ZWkhI1CKoT5AeBuuV8G\nmJPMJeYk82fmJPO95iRzf2Ah0KOl67wybqKTV64F5uDQwQYCgJWnO9k/A3KejV4HMz7ezlvrpUXb\njUbJnb5iTyEZue6JgWcNUZQU0iJ7Qskfkifnl9fBOEELSdNoPUcyofyIlMvVFJsXQN5Gj6ceTIzl\n5dsTGBEbSUZuMblFVco5H72OBz7ayoyPt5+7grYaGhpe0TjUDCDYJ5jS+lIA6mx1Sr+skiyqLFV8\ntu8zJvaa2CqRAVltzJMUtKsBoBN0NNgaACl0TRRFpYinTKghlNkbZitCA55wHV8OrZP59divxITF\nYC5yz53p0aYH8RHxfLbvM49j+uv9+Tb3W4/3lD0loigyLX6aqjhq49cpI9e58dH58OpWKW/Wjt3p\n+RF83TxX3uTTaGFplxWytTsOeJeU8pVcBJLQ5xtjunGWMd0Yakw3CsZ04/vGdOMOINKcZH6xpWu9\n9dwMB6IAK0B+6ridwCWbbyPvPi+YPID/rMslPNAXq13EVy/w7sY83rlnEO/cM4g9R8rP/s1/eQMy\nFsD6l6Xjsc9Lhs26F6W/mtdGo7XkbZSKwVrrJY+gzsNHV9BLKmpL7mrSwJH5bvcx9DrnV0dUmD91\nFjtDottooWkaGheQxjVuZGosNcpCfHH2YqWfa47K0pylHg2jppBDqXSCjkVZi/jj1B/KuabC0nx1\nvthFu5tx4yv4kpaYxqGKQ03ez9W4Ka2VDLVru1wLSMZO2rY0phvdUxIsdgumKBOTek1yO5cyPIVH\nBzxKg73B4z09GROuogKD2nkuXiyKIr4GX5JNyQCszl+teMYaxAYa2zJ7iva0mOskiqLXctQaf3qO\nkhL2DpIM8vekhPnRikirS4hp5iRzBXAdEIHkYHnZmwu9fbNs+anjlI9jdPLKts11/rMje23Kahrw\nNeg4VCqprzTYRCXf5pwICYCUT7PuReg6XFpwguSxGfOMJiSgcXoc3QHxt0OHeOhxPQyY4jynd4Q+\ntusrnWvbp0UDumtEELf1d+6c5pfUcOuATphiIs7F7DU0NLxEDp1qTJBPEN2v6A7AwfKDzFo3i+nG\n6aoclbTENDcxguZwVUuLj4jn7d1KyQulkCU0CkvTS8ZN19Cubl4PU5SJv8b8tcn7uYZyVTZIAkoj\nO49EL+j5o+wPxncb71HNzGKT7h0dFu12LtAnkPfN73N/3P3NvlaVZ8XlqSf5ZldBgf7t+gOwrmCd\n4hnzFXwV75nMGzveaDHXSfPcXFZMRMptv56U8jIgHHjywk7pgiD/g/8rsNicZM7GSxPf2yKe66KT\nV+4FfKKTVy4GbgNWtHqafxJGxEayYPIApr6/BbsIegFsItzav+O5LdwJUs7D3Z/Dx7dBcHv45mG4\n8yNN9lnj9PFkEGd/DXVl0LE/FO6G2KvhuhaL/gJSiNr//eyMXw/y1bNhfxF3Du6s1bvR0LiANK5x\nI1NpqaS2TMrDERGx2C2sK1in6iPn4Hhb3FNRSxN0mKJMPD7ocZ7/7XlAWqzLuIalGXQG7KIdnaBD\nJ+jckvybS5h39dy0DWxLQVUBh8oPYRNtJEQm8MvRX7i1+61u18kGz8HygwAMaDeAnSd3AvC/m/+X\n1xJfo1NIJ941v+t2rUdjQkAxcGR5bU8IgqCEySV2TmRpzlJMHUz46/wJ9glWFfKc2X9mi++5Jihw\nWfE0sBGQkr1TyguBwgs5oQvEdmO6cTUQAzxtTDeGAF5VvPVWLe0mIB3YCfQBXshPHXfnaU72T0Fl\nnVWp5+Fj0PHMuN5sPFDMQ1d3Y+aSnec230ZnANEGlcdg8AOaYaNx9vEJdPwNAL0P2Lyr3yALbBws\ndoaVVDfYuKZ3O2Z8vF3Lu9HQuEiRPS0D2g2g3lbPthPbuLv33cp5OQenKQOpqfFkD4zspQC4Lvo6\n5bm52Kx4bvSCnipLFQWVBW7iAYuyFrGvZJ+qzVWa2jVPRb73sv1mwRdPAAAgAElEQVTL8Nf7k9A2\nQfE8NcZit5BZmKnk3IzqNEo5d1Wnq1iVt4r52+d7vO+SfUsAVOFyrgaZr95zGoQoitTb6nlpy0sA\njOkyRplfnb0Of4NaDrp3eG+P46jG1Dw3lxMHgbuBbaSEZZIS9hopYbdc6EldAB4AkoEh5iRzDVLe\nUfNuVgctGjfRySt9opNXnspPHfdKfuo4U37quCH5qeNeObP5Xvx8vDkfAGOnUHz0OuI6hrFg8gBs\ndikX55zk28isfR4QYOTfYdsHLeZAaGi0Gp8Ax99AyZh2LD5aQg7ZzDleAUCwr7TgKKmqByRFNUBT\nTdPQuIgwCAYltCrYx1kj5uO9HyvPWyMDDU4FMDlcbG/JXuXc6vzVyvN5W+cpYWQNtgYKqwsJ8wtz\nS6qPj4hXhck1lqZ2DUuTZajv6nUXPnof7KIdU5SJ1NGpbvO02q2syluleFs+MH+gnPsx/0dWHFzB\nxiPO31jX+/YJ7wPA8gPLySzMVOryyDTluRERsdqs/Gv4v6T5ijbFM9YgNiiKdTJZxVkex2mMZtxc\nJqSUf0hK+TRgDPAJcKfj7+XGT+Yk8w5zkrkMJOU04N/eXNiicZOfOs4CiNHJK7uc2Rz/PGTkFrM1\n/xR+Bh3LHx7JO/cMYuYSyY39YGLsucu3AdizDA5vhvgJMDZFCklbdp9m4GicXRTPjb/Dc+OdcSOH\nbMqemzqrtIu5LqeI+0dEc1O/jsxcslPz3mhoXEwIKDk3vx79VWmWC3sCrZKBBrXnZu7muaRucRoW\nTw52pgckm5IpqikC4ETNCdoFtiMyIFKVcyMgYIoy8ciAR5S2xtLUrgt7+d7d23RHL+gVb8rAdu5S\n0Hnlefx8+Gcm9pJKY7iGdvnqfTHoDEztO9XjfWVpaYvNwkNrHuLBnx5Uje3JcyMbkSG+IQxqLwkO\nyPOTc26qLFWqa97a/VaLuU5aWNplRErY+6SEZSDJPxuAO4A2F3ZS5w9jutHfmG4MByKN6cY2xnRj\nuOMRDXRq4XLAe0GBeiAvOnllTnTyyl3y4zTnfdGz50g5EcG+DOsWgY9epyzozqm3RmbbIkAHY+dK\nxzGjJQNHU0nTOJsonpsAST3N7l1YGkgGzn0jogHoEh6gtL+9IZcZH2/noau7nZ/PioaGhlcICMoC\n2zU53jUBvzWGDTSqc+OSZO+r81Wl/PZv258xXcYAEBUUhb/eH53jv8bIxgCgkqZelLWIPUXO2nKy\ncbPpyCalMKjrnFw5WnWUib0mcmXolQC8MPIFJQxsSp8pzB+jDklzva9sTNix02BvcBMsaFyvBhyC\nAg5DRD7/67FflVC3GnuNKn8IpFDBrJLmvTfeyEVrXDJEAHqgDCgFikkp9/5H+s/PDGA70NvxV358\nAyzwZgBvjZvvgEXABiDT5dEsgiDsFwTBLghCnUtbN0EQSgRBaHD8jfZyDuccOZ/g9gGdOFZWx/DY\nCKUw4Tn11vzyhuSZqa+CE9kQdwuUHpTaQTJwNJU0jbOJa1ia3uC15wYkz+bSbUe4bUBH8oprlPYG\nm0idxcabP/+heW40NC4ibKJNCUdrKpSqNTLQ8pggeW7mjJhDyogUQEr8n7d1ntJvd/FudpzcQWRA\nJMdrjlNtqfbogViUtYhNRzYpx0tzlrI4ezGLshYRHxHPy5lOBdiqBsnz0SWkCwKCMhdPamntAtux\nNGcpeeV5gGTonag+wYyEGSzNWQrA4PaDVff19r1oHFonIxsisneqfWB7RXq7xl6j5CDJDGo/qMVc\nJy3n5jIipfw2UsqHAq8CVwDrSAk7coFndd4wJ5nnm5PMMcBsc5K5mznJHON49DMnmb0ybrxSS8tP\nHfc/0ckrg4CxjqYf81PH1TZ3jYM3kaxOVwH3z4BMURRvFARhFfA5MMybeZxr5HyCySYpAi/YT8/M\nJTtZMHnAub1xaR5seg36T4b6crhyuFSXJO72c3tfjcuPX96AU3lgcXx8T2RLRvWRTOncqMfhu1lQ\naJZ2X+scij4xV4HdRumJfDoc3c+mUH+KT0TR4erXlQK3AFabyJAeWr0bDY2LCbtoJ8QvBMBNhlim\ncRiYN2OCcwE/tutYuoV142D5QSb1msTnOZ8DkLolldevfp03drxB+6D2/F78O6fqTilFQGUMgoE3\ndjpV1qYbp5O2LY3Zg2djijLx9NCneXrT0wAcrzkOSAU69YJeyf+Rc3FciQyI5B+D/sHMtTMBmLN5\nDq8nvo4pyoSpg4lZ62ap+suJ/2mJadRYa9zGc6W5Ip4CTs9Nl5AupCWmMWvdLKb5uxsxPdq0WHBd\nC0u7nEgJGw9cBYxGMm7WApuaveYSxJxk/j9junEEEI2LvWJOMi9u6VqvPDfRySsfB8qBjxyPiujk\nlTNbuk4UxQXA4UbNA5DUD3D8dQ+SvUDI4WfvbcrDVy/w+uoDLJg84Nwv1IwTpL+Z70ryz2tfULdr\naJwtOg2ErOVwzBHmaPCHmmIoOyydy9sonS/6HY5nQcl+6bHtA9j5MW2OrieGYwRVHKTr4L/SJypU\nNfytAzqxq6D83KoJamhotBpLC95ZWQbaW+yiHQFBWXBvP7GdU3WnmJEwg+/zvlf6PTP0GUxRJopq\nixDtIm3821BWX+YWQmYVrcwe7FQ7e9/8PrMHz1a8MeNixhEfKYkLBBmCAClsTBCcIXeyB0f1uh1F\nPG+OvRmQZJllA84UZSImNEbJrZHbphun82H2h27qbY3xFJYGTkNENn5kQYEqSxUW0f3/Q2Oj7KE1\nD7E4W71+O1h2UMld0rjkuQHYAUwgpbwPKeX3k1LefJXXSxBjuvFjIA0YBQxxPAY3e5EDb+vcvAiM\nz08d9wNAdPLK64Cv8DL2rRE+oijudjzfA3gol37hGN4tAr1OoKbBztRhV56fHeiY0TD+3/DfB6Dq\nBBgCYMpSTQJa4+wTMxomfSrVUQLI24DkohFg9+ew/wfpPMBnk8HWgBJQL9qcQRHXvQgjZnJgdY5q\n+A37i5ScG817o6Fx/mmq0n1BZUGz15miTK3Ku7GLdmVxLyuMyZ6fbmHdeGrTUwAMaC9FPgT7BLO/\nbD8hPiH0Cu9FbplaUVEOyzIXm/kh/wcm9prIvXH3Kue3Ht/K0cqjRPpHUlpXCiBl7gg6xajx5Lmp\nqJeUHeWvsbFdx6rOPz7ocZWEdGZhJu+b3yctMY2+EX1ZuHthk++BR8+NSxFPOWzNLtqbDXVrbOgN\njxpO2japGOu9cfeyOHsx+07to43fZZNTfnmTUj6TlLCuQF/gGClhAYCBlPLKFq681BgM9DUnmVud\ncCbI7tzmiE5eWZufOi6gpTaPNxCEUcAaURT9HceiKIqCy3m7KIpu3xCCIKgm1q5dOz744IPG3c4a\nDRYbNkGH1S5SXCsSaBCos4kE+QhEBnibmnSaiHaCqg8jKPHCArUBUdgMgefsljabDb3e867TpYj2\netUE1BxB7whPEQU9gmNx0ODbhga/CACCqvJd/k06sev8qAmSQjdrLCInapw/zB2CdBTV2GkbqCPA\ncP5CKLT/v5c22uv1njp7HSctJ93a9YLeo2dD5kq/K1t1nzJrGZW2Srr4daHCVoGv4Iu/TqrfYhWt\nHGuQ6g929O2IQTBwwnICu2jHIlowCAZVfkwHfQfqhDp8BV+KrcUE64KpslcRaYjEX+dPnb2OYmsx\nkYZIyqxlWLFiF+2E6cOotlfjJ/gR4ROhuq8rPoIPVtGKiEhn385uRonre6YTdMp97aKdIw1Npzq0\nMbThlPWUqq2dTzuqbFU0iA1E+URR0FBAkC6IWrEWu2inrb4tRTa1ByZMH0aYQZ2nWGGroMxapnoN\nIiIdfTs2OZ+LkT/7Z/emm26qEUUx6LzeNCXsb8D/AOGklMeSEtYDeJuU8mvP9a0FQdgmiqJX3pFz\njTHduAx4zJxkbnUBU289NwXRySv3AW87jh8Emt8GahqLIAj9RFHcLQhCP8CjAkRgYCDV1dWeTp0T\nln39Hf+7y5cGq516q523pgzkn/+V1FneuWfQuduFtlnhg7FSmJBPIAyfCVscb/OkT8+Z92bFihWM\nHz/+nIx9MaK9XhfyNsLnLzq8MgJY61GK/gZGSOp8AOn/osliwA7PzYK1B3hty36lOT91HBm5xew5\nUn7uBDg8oP3/vbTRXm/rMKYb3doi/CMoqSvx2N9X58v2CdtbdY/Xtr3GFzlfkDnB3SNxvPo4Y7+U\nPCRr71zLdwe/4/uD3xNgCGB30W63/o8EP0Jg70DeNr+teH9cvUFZJVkMjBiIKcrE5JWTOVZ1jJK6\nEm7udjM7i3aSEJlA6lWpFFQW8K/l//I436FRQ9lSuIUtk7cQ6OO+cfjCby/wRc4XzEiYwR0D7gCg\nxlLD0CVDm3wP+rftz64ytXBsYudECqsLabA18M34b+i3uB/tAtqRFJfEvG3zeCj4Id6qekt1Ta82\nvfjnoH+qPGdzM+by5YEvAanIZ9fQruw6uYvJ0ZO9LrR6MXC5fXbPEo8AJkAqrJRSfoCUsHYXdEYX\nhkhgrzHdmImk2gyAOcl8c0sXeuuSGATkAE86HvscbafDLkAWxE8Fdp7mOGeVAIPA+IQoLDY7baJ+\n4elVX/HOPYN4555B7DlSrqqUfEbIymgyPz4tGTY6A0z+Aq55xhkWlPXfM7+fhoYreRslsQqAKcvg\nmmdRGTA3/Z90fslduBs2Ll8Xq5+BjAU8fHV3VQ9RFM+tsqCGhkaLRIdGu7UF+wa7d3TQlOpXc9hE\nW5PqXa7tgiAQHxHPwbKDHDh1AIDYMPX3Q5ghDKtoVQkayEUvs0qymBY/TSXPLHugxkaPRSfosNsd\nOTcewtJkZClpT0n5mYWZrM5frSioeauW9nvJ7+5jHc8kzFfywsgeolP1p1QFShuT2DmR2Rtms/HI\nRiw2C5mFmXyT+41yfl/pPrKLsymqLWpVoVWNPy31pJQ3KEcpYQa4LLXAU4BbgZeA11weLeKt58Yf\nuMNR0JPo5JU+QGjzl4AgCIeAzoBOEAQr8DEwGcgUBKEBqERKELooeOk2IwWltWw+FkWbmE8R/fsx\nLGoYhsCDyg7SGdNpoFSU886P4OTvkoiAzgB/mev00sh5EVptG42zzdEdEH+7VCQ2ZrR0HB4LpY74\n9479pPOFZjiZDXIl7cEPQOVxyFkJIR3BNxgOrkc3Qq0r0mCz42f484YgaGhcCniqidKcoEBTifHN\n3kMUm7zOU4HOjsEdOVwp6QudrDmJgKDM01fw5e74u93G8ZQHpEOnGDE6Qcq5kZXXmgu7uzHmRpYf\nWM6OEzsY2Wmk0t44X8jUwaQcywIGTXFX77tYvFed+D+z/0z2FO+hqLaIuRlSvbrrul7H6kOrmxwn\nOiyatMQ0Hlj9AJ2COlFSV+ImF32k6gghPiGtrkek8adkAylh/w8IICVsLPAwUkmWywpzknnD6V7r\nrXFzEOgOnHAchwMHaMHAEUWxaxOnwr2873klZeMCskr1PDLsetJ3CTy85mE6BXeiuK6YBdcsODtf\nKnJRzs+nQH0F6H1h8jKIvdq9nyYooHG2aVwvadTjkP+L07ix1MJNjqJ2C4dCkUMtaPzrkmx0zkq4\n4WWIu9Xj8HUNmnGjoXEhySzM5Eile55IlaVKea4TdKok9tP13Oh0noM/XL0jsqHj6s0xRZn4+fDP\nynGD6NykbgmdoFPydQQEdOiaVUuT6RzcGYC9JXtVxk1WSVaTHiNjW/fwPle6X9GdKX2m8Onvn6ra\nRVGkzlbHD/k/AJJgQExYDPtP7fc0DHbRrtz/aPVRugR3YVLvSczbNk/Vz1MdH41LkmTgAcCMVNDy\ne+D9Czqj84gx3fiLOck8yphurETtsRIA0ZxkbtG54q1xY8hPHScbNuSnjjvh8N5cMtRaRb7Zoieg\n0xJGGQdT5NPAisN2CqoKGN9t/JkbNr+8IXltYkZD+3hHvgPQ2eRu2GhonE/0Lh9lSzN1HeTCn5am\nS1zVWKyEXVwCiBoalxVZJVlEBUVxpEpt4NTblJB1gg3BVFgqlOPT8dy4qqU1RhWW5nge4hcixWoA\naw+vxV/vr9TcKbdKod/e/s6qPDc6F+OmmbA0uc/98fer2j3lr8geo1pr8+X88svz+eaPb1Rtb+x4\ng84hnTlZc5L3xr7Hg2se5KdDPzVrmDRWU6uyVNE7vLdbP00t7TIhpdwOvOd4XHaYk8yjHH9DTncM\nb3NuLNHJKyfLB9HJK++hCSGAPysNNpH/TJjI/Gte5+/r/87Kw+nKuY1HNra6erMbcjha3kb49lEp\n3EfvB8f3qHNwNDTONzqXPY5mDBfkJNxmDKDahqYXF415e0OuWz2cjNxi3t6Q28QVGhoaLTEtfhr+\nBn+3dlfjxqBX72saBIOSV+ptfqlNtHmUQoZGYWmCQGZhJjmlTtn4xwc+rppPqCHU6xo7rl4nQVB7\nbhpLKrsih641NWdPNJVTJPNh9odu3iKL3UJeeR6BhkCySrIQEFr0uPxR9odKjlou+NmY4zXHz3wt\nonHxkhK21PHXTErYHrfHZYgx3djPmG6c6XgkeHudt5/yR4H06OSV5dHJK8uBD5AU0y4Zwvx0jIiN\nxBRlIsw3DBERY4Tkkr4h+gZmb5jN4uzFpy8qIIejLZkE+1aAzgemfinl1shGj4bGheAsem5qLdIP\nvScjpbExk9A5jBkfb+fp5XuUa2Yu2UlCZ7UkqoaGRuuwi3YMuqYDM8L91ZHh1ZZqZm+YjUEwMHvD\nbK+S1u2i3SvjRifoyCrJom9EX6Xt/vj7ucLvCuXYR/DxWgHMNSxNzrmRS1o0Z0TIfVoyWFzxJD7g\nSpfgLk16r6osVRgEQ7MGl8zRqqO8OvpV5dgUZeL66Ovd+kUFRbWq0KrGn44qUsJGATc18bisMKYb\nZwGfAu0cj0+N6cZHvbm2WeMmOnllUnTySmN+6rh0pPyaHwEbklra5jOa9UXKlsItFFQVEO4fTlZJ\nFm382lBYXch043QW7FpwZkolMaMhyCEpPfRBZ17NnR9p4gEaFw6dq3Hjjeem6T51FluTRkpC5zBm\nLtnp5q35LLOA6/+9gZlLdrJg8gCt+KeGxhliF+346JoOD/U3+KsW+dXWasL8wpTild6EhzVn3Lga\nBQIC0+KnEeEv1c/y0/shCIJHOWZvUOXzeFHEU0YWL2jJYGkNjw56lPlj5ns8F+EfwVu73/IqT2Zo\n1FCl2KnMs8OedesX5BP0p5KB1mg1u4F5wHokOehwUsoPKY/LjweAoeYk83PmJPNzwDDgb95c2JLn\n5i1ALjbzADAByWtTBlxSroYKWwWLsxfzxPonAMltPrHnRE7VnyLjaAbvmd87c1GBvI1QWQj+V8Du\nJU5vTcxo90RvDY3zhd7LsDS9jxTC1ox35+PNh5s0UkbERrJg8gAe+XQHT/13NzOX7OSdeyRF+ZwT\nVUwdeqVm2GhonAXsoh2D0LTnZl/JPvz0fqq2/Ip8JvaaqNSYaSpKQQ5dc825adzf1XCSDSD5r6/e\nl0VZi7Da1Yt+b8PhdKhD3rxVSztSeaRVXhto2cujF/SYokweVdXCA8JpG9DWq/vYRbubml1jtTRv\n5qPxJyelfD4p5cOBRKAEWERK2D5SwuaQEtbzAs/uQiAgOVRkbI62FmlJUEDITx130PF8BrApP3Xc\nkwDRySubz7T7k+Er+PLGzjcYEjWEjUc2EugTyOpDq+lxRQ8OlB3g2iuvPXPDZtl9ENweOhhh2ENO\nSWhNFU3jQvDLG3AqD3J+cLatfR7WvwKWaqhyqXL+Wl9oqAS7FbYtgsAI8rf9QPu6P1jtI33XHKEt\n7+0Zz+zI44yIHevxliNiIwn2N/DF1iM8fHWsSgflky2HGRYboRk4GhpnSEthaVFBURRUudfhXpqz\nlFDfUMWD48qirEXER8QTHxHP7A2z6RnekwZbA3M3z+XnQz+r+jfOuXFt89f7Ex8RT1FtkdKnwd7g\ndbmFxiFvgiA469w0Y9ysObTmrBs3OkFHZmEmRyuPYowwYi4xK+dO1Z5SKdQ1h81uczP2PBo3Z9Hr\npHERI3lpXgFeISVsALAIeA643KRIPwS2GNONXzmOb0VysLRIS54bITp5pby90xP40vVca2Z4seOv\n82fBtQvIOJpBuH84L/72ItON0zlRI4nErcpbdWaJfEd3wO3vS56btr21cDSNC0+ngZC1HGpLnW2n\n8qFkP1QcBdcf18pCSbocoK4MVj9D19JN+NcU0kN3jB66YxwRI1no8yZrKjq5hZ7JZOQWc6RU2hdJ\nz8hnxifOqugLJg/wGLamoaHROkTEZo2bLqFdPC7cbXYbadvSmG6c7raZJxs1ICW8bz++naLaIn7I\n+8EtlM2TWpqr58YUZaJjUEelT4WtwutwONdp6wQdekHv9Nw0E5Y2psuY05K8bo4NBRuYvWE2043T\nOVSpjhoqritGEASvDCq7aHczZjzVJdI8N5cJKWEGUsJuIiXsU2AVkAPcfoFndd4xJ5lfB+4HSh2P\n+81J5je8ubYl42YjUBSdvLIQyR20ECA6eeU1gPfC9H8STFEm+kb0pbSulJGdRvK++X1eu/o1gnyC\nMEVJhb1O28AZ9TiERkk73+36SG1aOJrGhUQuFuuNDKyPv1TI0wXXn9lN9njG6TP5tudLTL8nyaOR\nkpFbzAMfbeOKQCkXwBQTriT5gjNsbc+R8tN+SRoaGpIHo7mcm8LqQo/tFZYKhnQY4jFPJKski+nG\n6fx9/d/5Pu97JVE+LjLOvdBmI+8KOL0OcjhciK9T5TVE731xSlVYmuO/Y5XHyCzMbNJzE+YbRofg\nDq03Dlrovv/UftIS07CKVp4c/KTb+YS2CaqCqk3d344H48aD50bjEiclbCwpYYuAI0i5JSuBWFLK\nJ5FS/k3zF186GNON/sZ04+PGdOMCYAjwH3OS+U1zknmnt2M0a9zkp467Dvg7kA50zU8dJ39KDVxi\namkgxfwWVBYwI2EGPx/6menG6QyLGkaf8D6U1pYqhb1Om5N7pb9t3fXrNTQuCDGjoeuIlvsNnykV\n8vQNVjULgCDAaH0Wn9j+QnXHEYqR8t3uYyrFtD1Hynniuh5U1EkLpxviO/DAqBjVeCNiI3kwMfaM\nX5aGxuVMS2Fpx6qO0T6wPQBBhiDVueySbDfhnEVZizAIBt43v09FQwX/PfBfZdGeXZyt2vRblLWI\n7SecHllZCjqvPA9wGjf1VkkK+tbYW6myV3m9cdjYcNIJOgJ8Api9YTa/l/yu6isg0C2sG5WWSgqr\nClslAy1f3xyPDngUU5SJafHTGNR+kNu12cXZqjZRVY/QiSfPTeMwNdDC0i4DngYygD6klN9MSvkS\nUsqrW7roEiQdGIxUxPRGoOV41Ua0WMQzP3WcW3xbfuq41a290cVOnb1Oifk1RZkwdZA8Nb3De9Mn\nog9Lc5YysP3A1uXduBbuBDi5DxDgwGqI8lquW0Pj3JG3EY7tlLw3TcWr631hy9tQUwINnmPISwwd\nmCqu4c09QykbeiUAP2afYMFkpwKQbLR8vfMY2ccq+O/2o+ScqDy7r0dDQ6NF46ZzcGcOVUhhVAGG\nAKqtzvXT5N6TVb+FAAUVBfyQ/wNXdbqKVfmrAGmhHmQIYv6Y+ar+BRUFvLvnXWW8bce38cT6JxS1\ntLL6MhZnL+Zw5WEAbul+C/tL9jNz7UyvRHtUammOsLRgn2CeSnyKB1arvcshviH0Cu9FVUMV6wrW\nqTzFZwPXuWSXqA2ZhMgEck7lqNr8dGoRB5mthVvZW7JX1eZqICr308LSLm1Syq+50FO4SOhrTjIb\nAYzpxg+AVodMtW4b4xKmQWxQfZmbokykJabxYfaH7CvdR72tnoPlkrZCZmEmczfPbVnZxbVwJ0D+\nJmmbu8sZCBNoaJwt8jbC51PAWi8ZNk2Fp4mipKK2Tb3P4bpMiLAe5wf7MB4rfZGHXniDmUt2cn1c\ne7ehMnKLOVUjRbRm5pcyPiHqbL0aDQ0NBy0ZN7nluXQMlnJeGodydQnp4halcGPMjVjtVsWwkamz\n1QGo+t8Yc6NqES4rkHYO6QxIIWILdi4gKkj67GeVZFFhq2Bm/5leRUY0VksTBAG7aPdoFPnp/dAL\nenz0PozuPLpJz0lTtMaYOFB2QHXcMaQj47uNV7X5Gnw9Xts2sC0bC5wCtBnHMnhpy0tnNB8NjT8x\nihvTnGRuWUvdA5px4yBUH+r25WiKMnF/3P2Ka/nlLS/zyJpHeOTnR/gh7wfiI+KbN3RiRsPt78En\nE+CbmVCQCZ1NmjqaxsXB0R0Qfzt0iIce10PH/ihB5j5BENETOg0G0Q7+YeAXCoGRUvt1L3I0bLBz\nLP82dPMpYablMRKEg0wdeiU39euoyr2R699YrFKsft+oEL7bfew8v2iNM6GgoIAxY8bQt29f4uLi\nmD9fXePDarXStm1bkpOTVe1XX301V155pWrn/NZbbyU4WB3m6ImUlBSWL1/ebJ+vv/6avXv3Ntvn\nQuHNazzbiGLzggLDo4YreTcRARGqc3W2OiXUSsYUZWJIhyGqfgIC3a/oTlZJlqq/Kcqkqv1itVu5\nIfoGJSSsbWBbFly7gGPV0mf/nd3vEGmI5N64e72q4aIKS3PUubGL9ibD2uTz7QPb46/3b3F81Wts\nKQzMxVa6t++9qlMBhgDmjJijamsqD6qgsgCdzvm6Hvv5sdObj4bGpUE/Y7qxwvGoBBLk58Z0Y4U3\nA7QYlna5I39R/+2nv7HtxDal/ckBT7IqbxUrDq7AoDMoX+aZhZlklWQ5v6T3fQ+2Btj5MSBA9Chp\nx/zoDk1MQOPC4unf3/NtpX+vf30VBkyV2pr499o5fgK8LuWPrQsZx1Nlt3HSXs9m4gjJyCfrWDlj\n+7bnvg+3csegTny14xi3D+zIZ5mSBG1M22AGR4ezePPlWJvsz4nBYOC1115j4MCBVFZWMmjQIMaO\nHUvfvlL1+Z9++omePXuybNkyXn75ZdVi7IorruDXX39l1BmnerMAACAASURBVKhRlJWVUVjoOan9\ndPj6668ZP368Mo/LHVdBAYPO4Ja/cWPMjQiCQMaxDCX3RabaIoWoNf4t6xTcSdUvyCeIvPK8Jgtb\nCwiKpyQmLIZvD34LSAVE5fMAf435K/4l3hsdjcPSdIKOgsoCZq2b5da3sqESvaDHJtokAYRzaBs0\nNlw8eVlkyerG7Di5gz7hffi9VMoZqrfXE3dFHNml6lC36oZq5m6eS5eQLloxT41LFnOS+YxlDTXP\njRcM6zgMY6RRORYQeH376yw/sJw6Wx0P9XtIKXw2e8Ns9Zd9hevOtAhlBVKoWqeB523+Ghpeo3eE\nTfgEONuaUvVz6bP/RCUnK52LpNoGG2v3FRER5EuD1c6SLQXEtg3ii61H8NFJP/r7Civ4Yqt7rQ2N\ni5eoqCgGDpS+u0JCQujTpw9Hjx5Vzn/22WfMmjWLK6+8ks2bN6uunTRpEp9//jkAy5cv5/bbm1Y2\nffHFF+nZsyejRo0iJ8eZt/Dee+8xZMgQ+vXrx4QJE6ipqSEjI4Nvv/2WJ598kv79+5Obm+uxX2OK\niooYO3YscXFxTJ8+na5du1JcLHkZb731VgYNGkRcXBzvvuvMHwkODubvf/87cXFxXHvttRQVFbmN\nm5eXx/DhwzEajTz7rLPK/Pr16xk/3hmmNHPmTD766CMAtm/fTmJiIoMGDeL666+ntLS08bCtQhRF\npcCmJ29BkE8QXUK6AFBvUxs3FQ0Vbr9lmYWZfLn/S2U8AYEqSxV9I/q6hZJlFmYya90sgnyCmNpn\nKgadgbd2v0WfNpJKaF55HrPWzcLf4M+UPlP46dBP1NnrvH5tKplpRxHPJsPNRKfnRkQ864ICrqeb\nU6eTqWjwvOncr20//ij7Q3Xfxvk6IBValaNGNDQ0mkYzbrxAVnqR43dFRGknCDtxEXG8ufNNnv3l\nWWatm8W1XV2KfeZthNw14BvqzGcwL4VRT2ihaRoXJ3LYkCGg+X4APoHK057tQ1TLAB+9gI9eYNk2\nyXgRgKxjFfTpEEK9TbpHblE1Pduf/5AdjbNDfn4+O3fuZOjQoQDU1dWxZs0abrrpJu6++24+++wz\nVf9rr72WjRs3YrPZ+Pzzz7nrrrs8jrt9+3Y+//xzdu3axffff8/WrVuVc7fffjtbt25l9+7d9OnT\nhw8++IARI0Zw8803M2/ePHbt2kVsbKzHfo2ZO3cu11xzDdnZ2dxxxx0cPnxYObdo0SK2b9/Otm3b\nePPNNykpKQGgurqawYMHk52dTWJiInPnznUbd9asWTz00EOYzWaiolrOKbNYLDz66KN8+eWXbN++\nnWnTpvHxxx+3eF1z2ESbUtPFILgHaBytOkqA4zPePkidG/fbsd/cBAVW5a/CRy8t3jsFdyLMLwyA\nGmuNmwdBzsuZP2Y+T5meUqIaKhsk8ZA/yv7Aarcyf8x8kk3JpCWmUWwtPj21NEdYWoegDqpQOJlQ\nv1DFuLGLdlW+jje0JgysuTBAGVkpzhW9oKd9YHtnPSDHHD3JcSNI7+sZFRTXOCsIgnCFIAhfCoKw\nTxCE3wVBGC4IQrggCD8JgnDA8bfNhZ7n5Ypm3LSAvAsF8J9r/8MTg55Qnc8uyabeVs83ud9gtVu5\nMfpGSSVNDuUJCIfYqyEmUbrAeIdU60ZD42LGxwvjRu/cqRzTI5y7h3ZRjv92VTdu6deRoipJPEBE\nMnjMx9Q7l1f3aqc8z8gtVklHa1y8VFVVMWHCBN544w1CQ0MBWLFiBWPGjCEgIIAJEybw9ddfY7M5\nk9X1ej2jRo3i888/p7a2lujoaI9jb9q0idtuu43AwEBCQ0O5+eablXNZWVlcddVVGI1GPv30U7Kz\nsz2O4U2/X375hUmTJgFwww030KaNcx3y5ptv0q9fP4YNG0ZBQQEHDkjJ4jqdTjHKpk6dyi+//OI2\n7q+//srdd98NwD333NPkeyiTk5NDVlYWY8eOpX///rzwwguKB+l0ERGVRbInr8bCXQspqZMMtpLa\nEtW530t/p2d4T9UCuktIFx5MkKo/+Oh9FANDVkBzpUtIF9UCXA7tlg2F9oHtVYaAKcpEpCHS6zIL\nbmFp6JoUFJC9NXbRjiiKrTJWFmUtalVdO2/GrrXVurXpBB1ZxVmKwEKAIQARkQ6BHdz6tg1oqxk2\nFw/zgR9EUewN9AN+B5KBn0VR7AH87DjWuABoxk0LZJVkcUP0Dcqu0Fu73yLAEMDozqMZHjVc1Vf5\nwpZV0iJ6QNVxSY3q4DpIuAty12ohaRoXPy5emSZx+TEvLDnFd7sLMThCzj7MyOdUTaMidB5kWPOK\nnRK093+4lUMll6Ok/58Li8XChAkTmDJliiq07LPPPmPNmjVER0czaNAgSkpKWLt2reraSZMm8dhj\njzFx4sTTuvd9993HggULMJvNzJkzh7o6z+FM3vbzxPr161mzZg2bN29m9+7dDBgwoMnrm1rQemo3\nGAyqnAt5TFEUiYuLY9euXezatQuz2czzzz/v9Xw9YbPblJApOYfGlcm9J/Nj/o8ASmK/jA6dW+2a\nafHT6N6mOwAV9RWKF2Z4R+k3MLMwUxHVmRY/zeMC/EjVEUDK95Hlo+V7+Ov8vc4hcfXcyGFpdtHO\nb4W/eeyv5Nxgb1VYWnxEPLM3zPa6vydc38NQ31Bp89PD/I5VH6Nf236AU4FONj5d5aOLaotOv5C4\nxllDEIQwYDTwAYAoig2iKJYBtyDVaMHx99YLM0MNzbhpgWnx05gzYg6mKJNi6Cy4ZgELr13IdON0\n1ZflC+FDmb1uFotr8lk0bAp89TfpxIEf4boX4PZ34c6P1PLQGhoXAW67lD4BqgVLS2zOkRYucR2l\nXXyLzc6mA+rdZ4uHXNoVe5xJ5ToBburXsZUz1zifiKLIAw88QJ8+fXjiCacXu6Kigk2bNnH48GHy\n8/PJz89n4cKFbqFpV111FU8//bTi2fDE6NGj+frrr6mtraWyspLvvvtOOVdZWUlUVBQWi4VPP/1U\naQ8JCaGysrLFfq6MHDmSpUuXArB69WpOnToFQHl5OW3atCEwMJB9+/bx22/ORbPdbufLL6XckyVL\nljBq1CiP48q5Ra737tq1K3v37qW+vp6ysjJ+/vlnAHr16kVRUZGSo2SxWDh06MxENuzYlTCnQA8b\nFfGR8YrSV7uAdqpzvcJ7uRkf4DCYkGrHyAUnAwwBnnNNG5FVksXozlIotq/eVym1cDpFsV1Dy2RB\ngWpLNU9ueNKtr8VmUXtuWqEoIM/xdMkuyVYZRxN7TWRz4Wa3fvW2ehIiE1hxcAXgNN5kZcF6ez09\n2/SUOoswa90szcC58MQARcCHgiDsFAThfUEQgoD2oijKP2rHAfd6CBrnBc24aQWuhg7AqrxV+Op8\n8dVJSdgHAwKZXlLCgh3zideHQINjxywmEUbMdDwfLRk4R3dcgFegoeEZeZcy00/yPmaW57a4YHEl\nNkzH+IQo2oVIqkd2O1ibUAbSCZ5Fi64I9CX7WLkqPO29Tbnc96H2Q36x8Ouvv/Lxxx+zdu1a+vfv\nT//+/fn+++/56quvuOaaa/Dzc+4y33LLLXz33XfU1zsT1gVBYPbs2URGRjZ5j4EDB3LXXXfRr18/\nbrzxRoYMcUoQP//88wwdOpSRI0fSu3dvpX3SpEnMmzePAQMGkJub22Q/V+bMmcPq1auJj49n2bJl\ndOjQgZCQEG644QasVit9+vQhOTmZYcOGKdcEBQWRmZlJfHw8a9eu5bnnnnMbd/78+SxcuBCj0agS\nW+jSpQsTJ04kPj6eiRMnMmCAVODW19eXL7/8kqeeeop+/frRv39/9u3b19z/hhax2W2Kd6VLSBdC\nfEJU55/LeA5fvS8zEmZwqv6U6lxTxoddlD7PrqFovx791S0/xxPT4qfRPlBa58l5J43lpr1FFZbm\nyLmps9bx0ij3ujAWuwW9oFcEBVorpexNCJinTaCuIV3ZV7qPib3UHsp5o+cpzzsHd1ZeT5hfGHak\n93dAO+nfhZwTFRsWS0Jbqeh37BWx3BBzw2kZhRreM3XqVIKCgggKCgLwVJzIAAwE3hJFcQBQTaMQ\nNFGyTs9u1VgNr9GkoE+TzMJMfj78MwuvXUi9rZ6Hf36YhYe+J6DNFSw4cRJT7otSx/gJcHC95KmR\nRQRiRmuCAhoXFabcDNJ63cs/av7NNX561u18jbTe92HKzQBPP/C/vAGn8pTDfqFV6NsfwrYrhQd9\nQIfID5h4x3YTw3XZJAgHecd2EzP035FNLL/YnJK98vk/oqbx0sp9+Pvo+OC+Iby3KZd5m99hUv8R\nqlu7ya1rnDdGjRrVZJX3pKQk1XF4eLiiJrZ+/XqP11RVVXlsf+aZZ3jmmWeU4xUrpF3thx56iIce\nesit/8iRI1V1bprq50pYWBg//vgjBoOBzZs3s3XrVsU4W7VqVZPXvf76682OGxMTo1KKe+GFF5Tn\nr776Kq+++qrbNf3792fjRqc3X369p4uIqKht1Vnr3Ap12uw2Fl67EFOUiR/zfyS/Il85V1orKbWZ\nokyqxb2c4O7jkmu3/sh6ZiTM8MoIkL09npLqW0NjtTRBEAj1C1WMAleCfILQ6XTY7JIUdGvV0lry\nkOSU5vBh1oduHp6KhgpmJMxgac5SpW1qn6mE+4ezA2ljs7yhnBkJM3h3z7tkHMtQ+u06uQtwhqcV\n1RZR1SB9TkL9QpkzXF07R+Ps88knnyjPBUFo8NDlCHBEFMUtjuMvkYybE4IgRImiWCgIQhRw8pxP\nVsMjmufmNMkqyVJ2q67qfBXtA9tjE23EtU3AZHMoo8XdAXcs0kLRNC5+Og3E9NNLBIkiy0ODuT1i\nAKafXmo6P6zTQMhyKaxYkEn82unE6fIYqPuDPrrD5IpRDNdls8DnTfbpuiMAe8RuvOX/f4zxk+o5\nyOf3iN34eV8RPnqBWoudKe9t4cWV+xjY3caK4y/z3OqveXtDriLwse3IAU18QOOMOHz4sCIX/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IA0CzISgjf0e0Gi1NNsm40QoOnhtbEzpBh4CgtL0kagkp01LYfma7aw7h4kbSDyh02D53ZV9b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NjtMU1Yue+UM1GB4/67Us4R3dRIz9yqYRDHs/Od59z36WbWHMgkLiqMLyf1KdXWGauTnZnc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\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x2eb9ca55588>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"from mpl_toolkits.axes_grid1 import host_subplot\n", | |
"import mpl_toolkits.axisartist as AA\n", | |
"import matplotlib.pyplot as plt\n", | |
"\n", | |
"plt.figure(figsize=(15, 8))\n", | |
"host = host_subplot(111, axes_class=AA.Axes)\n", | |
"plt.subplots_adjust(right=0.75)\n", | |
"\n", | |
"par1 = host.twinx()\n", | |
"par2 = host.twinx()\n", | |
"\n", | |
"offset = 60\n", | |
"new_fixed_axis = par2.get_grid_helper().new_fixed_axis\n", | |
"par2.axis[\"right\"] = new_fixed_axis(loc=\"right\", axes=par2,\n", | |
" offset=(offset, 0))\n", | |
"\n", | |
"par2.axis[\"right\"].toggle(all=True)\n", | |
"\n", | |
"host.set_xlim(min(df['time']), max(df['time']))\n", | |
"\n", | |
"host.set_xlabel(\"Time\")\n", | |
"host.set_ylabel(\"Score/min\")\n", | |
"par1.set_ylabel(\"Views/min\")\n", | |
"par2.set_ylabel(\"Points/view\")\n", | |
"\n", | |
"score_plot, = host.plot(\n", | |
" df['time'],\n", | |
" df['points/min'],\n", | |
" label='Points/min',\n", | |
" marker='x',\n", | |
")\n", | |
"views_plot, = par1.plot(\n", | |
" df['time'],\n", | |
" df['views/min'],\n", | |
" label='Views/min',\n", | |
" marker='x',\n", | |
")\n", | |
"div_plot, = par2.plot(\n", | |
" df['time'],\n", | |
" df['points/min'] / df['views/min'],\n", | |
" label='Points per view',\n", | |
" marker='x',\n", | |
")\n", | |
"\n", | |
"annotation_props = {\n", | |
" 'arrowprops': {\n", | |
" 'facecolor': 'gray',\n", | |
" 'shrink': 0.05\n", | |
" },\n", | |
"}\n", | |
"\n", | |
"host.annotate(\n", | |
" '2AM data gap due\\nto broken script :(',\n", | |
" xy=(datetime.datetime(2017, 9, 20, 4), 6),\n", | |
" xytext=(datetime.datetime(2017, 9, 20, 4), 8),\n", | |
" **annotation_props\n", | |
")\n", | |
"\n", | |
"host.annotate(\n", | |
" 'initial viewers: high (~0.25) points per view',\n", | |
" xy=(datetime.datetime(2017, 9, 19, 17), 5),\n", | |
" xytext=(datetime.datetime(2017, 9, 19, 17), 2),\n", | |
" **annotation_props\n", | |
")\n", | |
"\n", | |
"host.annotate(\n", | |
" 'day 1 peak: ~140 views/min @~8:30PM',\n", | |
" xy=(datetime.datetime(2017, 9, 19, 21), 22),\n", | |
" xytext=(datetime.datetime(2017, 9, 19, 23), 22),\n", | |
" **annotation_props\n", | |
")\n", | |
"\n", | |
"host.annotate(\n", | |
" 'views (orange) quantized\\ndue to data from Reddit:\\nonly given in thousands(k) of viewers',\n", | |
" xy=(datetime.datetime(2017, 9, 19, 23), 15.5),\n", | |
" xytext=(datetime.datetime(2017, 9, 20, 1), 15),\n", | |
" **annotation_props\n", | |
")\n", | |
"\n", | |
"\n", | |
"host.annotate(\n", | |
" 'dropped to #2 on /r/itookapic',\n", | |
" xy=(datetime.datetime(2017, 9, 20, 11, 30), 1),\n", | |
" xytext=(datetime.datetime(2017, 9, 20, 5), 0),\n", | |
" **annotation_props\n", | |
")\n", | |
"\n", | |
"\n", | |
"host.legend()\n", | |
"\n", | |
"host.axis[\"left\"].label.set_color(score_plot.get_color())\n", | |
"par1.axis[\"right\"].label.set_color(views_plot.get_color())\n", | |
"par2.axis[\"right\"].label.set_color(div_plot.get_color())\n", | |
"\n", | |
"plt.title('Score and Views over Time, based on ~10 minute trailing averages')\n", | |
"plt.grid()\n", | |
"plt.draw()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Interpretation\n", | |
"\n", | |
"\n", | |
"- Surprise, **views and points appear correlated**.\n", | |
"- **initial viewers were more enthusiastic** (more points per view) while the later viewers were less so.\n", | |
"- **Morning viewers were even more enthusiastic** and the morning data seems subject to lots of fluctuations, probably because the quantity of viewers is just so much lower, making the data more subject to noise.\n", | |
"- [UPDATE]: 19 hours after the beginning of this experiment, the post has **dropped to #2** on /r/itookapicture. The discontinuity is clearly visible. Interestingly, **the number of points per view dropped along with viewership**. This may indicate that people are more likely to upvote the top post than the second-place post in a subreddit (confirmation bias?).\n", | |
"\n", | |
"Once viewership decreases to below 5/minute, the running average breaks down since the viewership number (with 0.1k granularity) only updates when we roll over to a new number. Thus after 1PM on the 20th, the data is less useful. I could use a more sophisticated running average but I think I'll instead just call this experiment completed." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 28, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"last updated 2017-09-20 14:37:02.188865\n" | |
] | |
} | |
], | |
"source": [ | |
"print('last updated', datetime.datetime.now())" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# Comments, please\n", | |
"\n", | |
"What should I analyze?" | |
] | |
} | |
], | |
"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": "3.6.1" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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