How to impute the missing data with the most frequent value

Doomy

I have a dataset containing categorical and numerical data and I would like to know how I can impute the missing data with the frequent value.
For example
ID         Feature1      Feature 2        Feature 3 
_______________________________________
123      core i7          Windows         33844690
334       IOS              phone             99983648

Note that the missing values are huge but I can't drop the column.
Is there an operator I can use for nominal data to be replaced with the mode? and the numerical data with average or max? 

MartinLiebig

Hi,

you can use Replace Missing Values. Average actually takes the mode for nominal columns.

Cheers,

Martin