10 things statistics taught us about big data analysis

In my previous post I pointed out a major problem with big data is that applied statistics have been left out. But many cool ideas in applied statistics are really relevant for big data analysis. So I thought I’d try to answer the second question in my previous post: “When thinking about the big data era, what are some statistical ideas we’ve already figured out?” Because the internet loves top 10 lists I came up with 10, but there are more if people find this interesting. Obviously mileage may vary with these recommendations, but I think they are generally not a bad idea.

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