Last year, BuzzFeed News went looking for surveillance flight paths from the FBI and Homeland Security. Peter Aldhous describes how they did it. They used machine learning — a random forest algorithm to be more specific — to find the spy planes, which as you might expect tended to circle around more than normal flights.
Machine learning to find spy planes
This is an American Workday, By Occupation
I simulated a day for employed Americans to see when and where they work.
The Best Data Visualization Projects of 2014
It’s always tough to pick my favorite visualization projects. Nevertheless, I gave it a go.