“Imputing missing data” is a process by which the missing values in a data set are estimated from the remaining data, for the purpose of allowing statistical procedures to be performed on a complete data set. (Most statistical procedures fail if some values in a data set are missing; so the purpose of estimating the missing values is simply to get around this problem.)
Statistics and data science, defined
Missing Data Imputation
Where this gets used
We teach data science and statistics online, one subject at a time, on fixed start dates with an instructor who marks your work.