Count and filter multiple row values in one column with same unique ID in another column
I am having some difficulty effectively reporting (counting, filtering, etc) on unique IDs that have data listed in multiple rows in another column within a dataset.
Ex, my data is structured like this:
ServiceName EntityID
A 00001
B 00001
C 00001
A 00002
B 00002
C 00002
A 00003
B 00003
A 00004
C 00005
etc...
I need to be able to determine, based on one of the ServiceName values what other service names exist for that entity ID. E.x. If `ServiceName` = 'C' Exists for an EntityID, show all other ServiceNames for those EntityIDs. I would also like to be able to filter on just a few ServiceName criteria like "Show only EntityIDs where BOTH ServiceName 'A' AND 'C' exist".
Example expected output in a filtered table for :
ServiceName EntityID
A 00001
B 00001
C 00001
A 00002
B 00002
C 00002
C 00005
Answers
-
I think that you would need to restructure your data. If you had something like this:
Then you could create some filter cards for each of the ServiceNames. If you wanted only entities with both service A and C, then you would filter for `ServiceName A` = 'x' and `ServiceName C` = 'x'
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