This seems like an easy question to solve but I'm kinda stuck.
I have a dataset with 250 rows and roughly 20K columns. The rows are split into two categories : Good ( 249 rows) and Bad (1 row). I need to find all the columns in which the 'BAD' row has the higher/lower value than compared to rest of the 'GOOD' rows.
Can you suggest any efficient way of doing this?
Thank you!