Readers of /r/dataisbeautiful

The Python script we made below generates this graph. It puts the y-axis into a nice comma format. In addition, it adds the time series.

from pylab import *
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import datetime as dt

def comma_format(x, p):
    return format(x, "6,.0f").replace(",", ".")

ax = subplot(111)
data = [448,448,9533, 12258, 15440, 17484, 21450,24045, 26198, 31903, 37271,45808, 49765,68182, 75964,82828 ,89805, 102488,109054 , 116028, 124239, 129882, 136492,151742, 160985 ,169541,181385,388633, 615584,796437,1233638,1463458,1716989,1950048]

x = mpl.dates.drange(dt.datetime(2012,3,1), 
                     dt.datetime(2014,12,12), 
                     dt.timedelta(days=30))

print len(x)
print len(data)

xx = np.arange(0,20,1)
yy = np.arange(1000,10000,450)
plt.title('/r/dataisbeautiful readers')
ylabel('Readers')
xlabel('Date')
ax.get_yaxis().set_major_formatter(ticker.FuncFormatter(comma_format))
#plt.plot(data, label='Readers')
plt.plot_date(x, data, '-', label='Readers')
plt.show()

Raw data:

Date 	       Readers
01/02/2012         448
02/04/2012         448 
07/05/2012       9,533
02/06/2012      12,258
08/07/2012      15,440 
04/08/2012      17,484
10/09/2012      21,450
11/10/2012      24,045
01/11/2012      26,198
03/12/2012      31,903
02/01/2013      37,271
04/02/2013      45,808
02/03/2013      49,765
02/04/2013      68,182
01/05/2013      75,964
01/06/2013      82,828 
01/07/2013      89,805
01/08/2013     102,488 
01/09/2013     109,054 
01/10/2013     116,028
01/11/2013     124,239 
02/12/2013     129,882
01/01/2014     136,492
01/02/2014     151,742
02/03/2014     160,985 
06/04/2014     169,541
04/05/2014     181,385
01/06/2014     388,633
06/07/2014     615,584
01/08/2014     796,437   
28/09/2014   1,233,638
28/10/2014   1,463,458
28/11/2014   1,716,989
30/12/2014   1,950,048

Top 9 (without the U.S.)

Tools used:
Excel

Dataset:
The dataset was compiled from these links:

• https://web.archive.org/web/20070613003750/https://www.cia.gov/library/publications/the-world-factbook/rankorder/2184rank.html
• https://web.archive.org/web/20081210094327/https://www.cia.gov/library/publications/the-world-factbook/rankorder/2184rank.html
• https://web.archive.org/web/20091028133541/https://www.cia.gov/library/publications/the-world-factbook/rankorder/2184rank.html
• https://web.archive.org/web/20100602064002/https://www.cia.gov/library/publications/the-world-factbook/rankorder/2184rank.html
• https://web.archive.org/web/20111014135229/https://www.cia.gov/library/publications/the-world-factbook/rankorder/2184rank.html
• https://web.archive.org/web/20111014135229/https://www.cia.gov/library/publications/the-world-factbook/rankorder/2184rank.html
• https://web.archive.org/web/20131019143844/https://www.cia.gov/library/publications/the-world-factbook/rankorder/2184rank.html
• https://www.cia.gov/library/publications/the-world-factbook/rankorder/2184rank.html