Write an R script which removes the columns which have more than 75% missing values. Then it should replace the missing values in all columns with the median value of the existing values in that column that belong the same class (Label). (you may need to use which(),is.na() functions and consider excluding those columns by name. For that purpose you may investigate %in% and -c(...) type of operations .)