Read adult.csv data set (This is on the web) : - Exclude rows where marital-status is missing. On the remaining rows: - Extract rows where marital-status = "Never-married" - Extract rows where marital-status = "Divorced" AND 20 <= age <= 40 AND workclass starts with "S" - Remove column "marital-status - Keep only column "marital-status" - Keep only String columns using a Column Filter node and then only column "marital-status" using a Reference Column Filter node
This is a companion discussion topic for the original entry at https://kni.me/w/Mq6qurfdT0U8-WLg