Stop Using Mean to Fill Missing Data

Dario Radečić
Towards Data Science
5 min readSep 17, 2019

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Mean imputation was the first ‘advanced’ (sighs) method of dealing with missing data I’ve used. In a way, it is a huge step from filling missing values with 0 or a constant, -999 for example (please don’t do that).

However, it still isn’t an optimal method, and today's post will show you why.

Photo by Pietro Jeng on Unsplash

The Dataset

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