I have a dataset that has lots of zeros, but I want to remove the zeros and instead replace them with a missing value or a NaN value. I've tried using RapidMiner operators:
- Map
- Replace Replace missing values
- Replace all missings
and none of them are working the way I expected to.
to replace a zero (0), or any other regular value, with a missing value, you can use the Declare Missing Value operator. You can specify a given value (like 0) or even declare an expression, for example
att_1 < 10so all values of the column att_1 that are below 10 are declared as missing.