What is the result of applying mean imputation to a dataset with missing values?

Question

Data Science — Easy

What is the result of applying mean imputation to a dataset with missing values?

Accepted Answer

Mean imputation is a simple technique where missing entries in a numerical feature are filled with the arithmetic mean of the observed values in that column. Median imputation uses the median, while constant imputation uses a fixed value. Deletion refers to listwise deletion, which is a different strategy entirely.