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/