What is the difference between mean imputation and median imputation for handling missing values?

Data Science with Python Medium

Data Science with Python — Medium

What is the difference between mean imputation and median imputation for handling missing values?

Key points

  • Mean imputation uses the mean, median imputation uses the median
  • Mean imputation is sensitive to outliers, median imputation is more robust
  • Median imputation is preferred for skewed data
  • Mean imputation can distort the distribution of the data

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