I'm trying to solve a problem where I want to compare the average of two columns based on the value of another column. A simplified version of my data table looks something like this:
Score A | Score B | Score C | Survey Type
10 | 20 |19 | pre
14 | 26 |23 | post
7 | 6 |8 | pre
10 | 10 |12 | post
I want to calculate the percentage change for each score column (A, B, C) for "pre" surveys vs. "post" surveys based on the Survey Type column.
I already have the averages of each score/survey type calculated using beast modes and filters based on the survey type, but I don't have a way to calculate the difference.
Would this be something I could do with ranking and windowing in the ETL?