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One thing many people forget when dealing with data: outliers. Even in a controlled online experiment, your dataset may be skewed by extremities. How do you deal with them? Trim them out, or is there some other way? How do you even detect the presence of outliers and how extreme they are? Especially if you’re optimizing your site for revenue, you should care about outliers. This post will dive into the nature of outliers in general, how to detect them, and then some popular methods for dealing with them.

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