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Data imputation is the process of replacing missing data with substituted values. This could involve statistically representative data filling (e.g. local averages) or simply replacing the missing data with encoded values (e.g. replace NaNs with zeros).

7 votes

How to deal with missing data for only some categories

There are three types of missing data: Missing Completely At Random (MCAR), Missing At Random (MAR) and Missing Not At Random (MNAR). Your case is the second, where according to wikipedia it: occ …
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