Unlearning Descriptive Statistics


I spend my days largely doing descriptive statistics. Sometimes it's really important to build a predictive model, but frequently what your data consumers actually need is some really well-though-out descriptive statistics. Which is why I love this post. Here's the intro:

Statistics professors tend to gloss over basic descriptive statistics because they want to spend as much time as possible on margins of error and t-tests and regression. Fair enough, but the result is that it's easier to find a machine learning expert than someone who can talk about numbers. Forget what you think you know about descriptives and let me give you a whirlwind tour of the real stuff.


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