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
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Days Without a Mass Shooting
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Remote Workers vs. Non-Remote Workers
How the schedules between remote and non-remote workers differ during workdays.
Unemployment in America, Mapped Over Time
Watch the regional changes across the country from 1990 to 2016.