How to count distinct based on the sum of another column?
I dataset with a list of "pulls" for each day and the "setter" associated with that pull. I have a calculation through the ETL for this dataset that sums up the total sales per setter for the previous 30 days. My objective is to count the number of distinct setters who have a sum of 0 total sales for the time range filtered on the card. How would I do this on a beast mode? I can't do this through ETL as I need this count to work dynamically based on the date range the user chooses for the card.
If I were to look at the distinct number of setters for 9/30/22 the number would be 1 because Test User 1's sum of total sales in the last 30 days exceeds 0 and Test User 2's total is 0, so Test User 1 does not count in the setter count but Test User 2 does.
If I were to look at the distinct number of setters for 9/25/22 - 9/30/22 the total would be 0 as both test user's sum of total sales would exceed 0 for that time frame.
Is this calculation possible through a beastmode?
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