I have two columns. Both have a general key INT value called TicketId, but one table has less TicketIds than another table. Both tables have different quantity of columns, so =EXCEPT() formula wouldn't fit.
For example, the current counting of rows looks like this:
Dates | Tab1 | Tab2 |
---|---|---|
08.11.2022 | 1058 | 950 |
09.11.2022 | 1058 | 1056 |
22.11.2022 | 2342 | 302 |
I am looking for a DAX measure forluma that will calculate TicketIds that exist in Tab1, but doesn't exist in Tab2. It should be not a formula like 1058 - 950 = 108. Because after there will be drillthrough to show all the TicketIds that were calculated (exist in Tab1 and doesn't exist in Tab2).
Dates | Tab1 | Tab2 | Tabcross |
---|---|---|---|
08.11.2022 | 1058 | 950 | 108 |
09.11.2022 | 1058 | 1056 | 2 |
22.11.2022 | 2342 | 302 | 2040 |
Let's say you have a model like this:
and your datasets like this:
Define your measures like this:
OnlyTable1 = COUNTROWS(VALUES(table1[TicketId]))
OnlyTable2 = COUNTROWS(VALUES(table2[TicketId]))
ID_Difference = COUNTROWS(EXCEPT(
VALUES(table1[TicketId]),
VALUES(table2[TicketId])
))
Then if we put it on a table visual: