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Hello,
I have three tables, join with order ID on 1:1 relationship.
Table A has all orders information
Table B has orders that are scaned as late
Table C has oerder that are repored as late
(so B and C may has same order ID, same you can report it as late but at the same time report it as late)
so I want to count in Table A, how many unqiue orders are scaned as late or report as late
I don't know how to do that, but I tried tha following formula, it gives me the number, just want to make sure if there any another good solution or I am lucky to get the best one?
Lates=CALCULATE(DISTINCTCOUNT('A'[SALE_ID]),filter('A',RELATED(C[Report_Late])<>blank()||RELATED(B[LATE_FLAG])="Y"))
Solved! Go to Solution.
HI @NoobAnalyst01,
I'd like to suggest you use below measure to get matched row count:
distinc = COUNTROWS ( FILTER ( ALL ( TableA ), TableA[SALE_ID] IN UNION ( INTERSECT ( VALUES ( TableA[SALE_ID] ), VALUES ( TableB[SALE_ID] ) ), INTERSECT ( VALUES ( TableA[SALE_ID] ), VALUES ( TableC[SALE_ID] ) ) ) ) )
Regards,
Xiaoxin Sheng
HI @NoobAnalyst01,
I'd like to suggest you use below measure to get matched row count:
distinc = COUNTROWS ( FILTER ( ALL ( TableA ), TableA[SALE_ID] IN UNION ( INTERSECT ( VALUES ( TableA[SALE_ID] ), VALUES ( TableB[SALE_ID] ) ), INTERSECT ( VALUES ( TableA[SALE_ID] ), VALUES ( TableC[SALE_ID] ) ) ) ) )
Regards,
Xiaoxin Sheng
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