👉 In statistics, "imputability" refers to a property of a dataset where it is possible to assign values to missing or incomplete data. In other words, if there are observations in a dataset that lack information about their value, then they can be replaced with an estimate or prediction based on known patterns and characteristics of the data. For example, consider a dataset containing names of individuals, but no corresponding age or height measurements. If we have missing values for these attributes, imputing them would
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