Some stats about user activity (taken from the "users" collection):


In [12]: np.mean(counts)
Out[12]: 15.64332937083098

In [13]: np.std(counts)
Out[13]: 202.68999880378769

In [14]: percentiles = [0, 25, 50, 75, 90, 95, 96, 
   ....: 97, 98, 99, 99.9, 99.99, 99.999, 100]

In [15]: np.percentile(counts, percentiles)   
Out[15]:
[1.0,
 2.0,
 4.0,
 12.0,
 32.0,
 55.0,
 64.0,
 77.0,
 99.0,
 150.0,
 657.0,
 3362.3447999991477,
 20926.858370026108
 157453.0]

So mean counts is 15. Median is 4.  Std dev is 200. And the 99th percentile is 150 tweets.  

The 1000th most active user had around 1200 tweets...so this is somewhere between the 99.9th and 99.99th percentile. 

[The 3000th most active user is still over 500 tweets...just under 99th percentile!] 


Add some info about user activity.
Add some info about user activity.
