Filtering based on distinct count values
The discussions I've found that are similar to this seem to suggest using ETL, which I think I might end up having to do, but just wanted to see if there are any beastmode ideas out there.
I'll refer to the column headers as Date, Collection Code, Donor, Donation ID, Data Entered?, Distinct Count of Data Entered, Distinct Count of Donations.
Each row will always have a Donation ID. Some Donation ID's were or were not Data Entered.
What I am trying to do is compare the number of Data Entered to the total number of donations.
Donation ID is a unique value, but there are necessary duplications of donation ID's sprinkled throughout our data, hence the Distinct Count of Data Entered ( count distinct case when "data entered" = "yes" then "donation id") and Distinct Count of Donation ID ( count distinct "donation_id).
These are then grouped by collection date and collection code in a column chart. Up to this point, all has worked fine. I have attached some sample data, with the first two charts being the manipulation of the raw data, and the 3rd chart being how it looks now.
The problem I am having is that if there were 0 data entries for a grouped date/collection code, I do not want that row to show at all. But, if I filter my Data Entry to 0's, then obviously this effects my count of donations because it removes all donations that were not data entered.
I also cant filter Distinct Count of Data Entered.