What is missing value imputation?
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Answer / Pratyush Kumar Mishra
Missing value imputation refers to the process of replacing missing or incomplete data with substituted values. This method is used when some data points are missing from a dataset, which can affect the accuracy and validity of statistical analysis. Commonly used methods for missing value imputation include mean imputation, median imputation, regression-based imputation, and hot deck imputation.
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