Hello everyone

This is not new, but it's been on my list of items to promote so here it is - "clickstream"  data showing how people get to Wikipedia article and what articles they click on next. 

Here's Ellery's blog post: http://ewulczyn.github.io/Wikipedia_Clickstream_Getting_Started/

fb/g: Google dominates, but Bing refers significantly more traffic to Wikipedia than Yahoo. How do you get to Wikipedia?
http://ewulczyn.github.io/Wikipedia_Clickstream_Getting_Started/

f/g: These were February's "trendiest" articles on Twitter -- and we have no idea why. 
http://ewulczyn.github.io/Wikipedia_Clickstream_Getting_Started/

f/g: Why was Johnny Knoxville's Wikipedia page trending on Twitter? We have no idea. We just have the "clickstream." 
http://ewulczyn.github.io/Wikipedia_Clickstream_Getting_Started/

f/g: A lot of people can't wait for the 2027 Cricket World Cup, according to our analysts.  
http://ewulczyn.github.io/Wikipedia_Clickstream_Getting_Started/

t: Google dominates, but Bing refers significantly more traffic to Wikipedia than Yahoo. #opendata #ipython
http://ewulczyn.github.io/Wikipedia_Clickstream_Getting_Started/

t: These were February's "trendiest" articles on Twitter -- and we have no idea why. #opendata #ipython
http://ewulczyn.github.io/Wikipedia_Clickstream_Getting_Started/

t: A lot of people can't wait for the 2027 Cricket World Cup, according to our analysts. #opendata #ipython
http://ewulczyn.github.io/Wikipedia_Clickstream_Getting_Started/






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Michael Guss
Research Analyst
Wikimediafoundation.org
mguss@wikimedia.org