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.
Divorce Rates for Different Groups
We know when people usually get married. We know who never marries. Finally, it’s time to look at the other side: divorce and remarriage.
One Dataset, Visualized 25 Ways
“Let the data speak” they say. But what happens when the data rambles on and on?