I am currently working in covid data analysis using the dataset from COVID-19 DATASET. I am using Rapidminer for this project. In this dataset, the missing values are labeled as 97,98,99 in all other column and the death_year column has missing values as 9999-99-99.
I am trying to replace the missing values in the manually by chaining the replace operator but the system doesn't show all of the operator.

I am tasked to do some eda and ml operation in this dataset. But for that removing or dealing with missing values are deemed necessary.
You can use the
Declare Missing Valueoperator. This works for nominal and numeric attributes and you state what value should be missing throughout the example set.Here's an example XML process (copy the XML below and paste into an empty RapidMiner XML pane)
The process should look like this.
There are 4 examples of the
Declare Missing Valuesoperator. The first replaces9999-99-99in all attributes in all examples. The remaining 3 do the same for the numeric values 97, 98 and 99 respectively.The output should look like this before replacements.
and like this after.