Calculating Differences based on the Value of a Column
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?
Best Answer
-
Here is what the beastmode would look like for column A % change between pre and post:
(AVG(CASE WHEN
Survey Type
= 'post' THENScore A
END) -
AVG(CASE WHENSurvey Type
= 'pre' THENScore A
END)) /
AVG(CASE WHENSurvey Type
= 'pre' THENScore A
END)You can copy and paste this for Score B and C - just replace Score A with Score B and Score C respectively.
If I solved your problem, please select "yes" above
1
Answers
-
Here is what the beastmode would look like for column A % change between pre and post:
(AVG(CASE WHEN
Survey Type
= 'post' THENScore A
END) -
AVG(CASE WHENSurvey Type
= 'pre' THENScore A
END)) /
AVG(CASE WHENSurvey Type
= 'pre' THENScore A
END)You can copy and paste this for Score B and C - just replace Score A with Score B and Score C respectively.
If I solved your problem, please select "yes" above
1 -
Thanks for your help with this, @ColemenWilson I was making the mistake of not averaging each case statement individually. I'll give this a shot and let you know how it goes.
0
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