I am working on a data set where the categorical variables have lots of empty spaces (not "NA" but ""). For example, one variable has 14587 empty spaces out of 14644 observations. There are many such variables where most of the observations are empty.In fact it is a survey dataset where the participant just chose to ignore a particular question.
I have never handled similar dataset. I am looking for advise as to how best to handle such datasets before any modeling is done. Deleting the rows or the variables with lots of empty spaces doesn't seem feasible.
Thanks a lot.