I have a data set of retail sales that have both full information and missing information. I came across this link for using Hot Deck imputation to estimate the missing values. I have one column which holds the missing and the other columns are categorial variables.
My question is to how use multivariate and categorial variables in Hot deck imputation?
I came across this link but cannot derive the same approach with categorial variables.
