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Hello,
I've been trying to figure this one out but its proving to be a bit tough...
What I need to do in DAX is a sum of the "Value" column only when the CHECK1 and CHECK2 columns for that employee are set to 0 in all the other rows for the selected Date range.
This is an example dataset:
| EMPLOYEE ID | VALUE | CHECK | CHECK2 | DATE |
| 1 | 1 | 0 | 0 | 01/01/2019 |
| 1 | 1 | 0 | 0 | 02/01/2019 |
| 1 | 1 | 0 | 0 | 03/01/2019 |
| 1 | 1 | 0 | 0 | 04/01/2019 |
| 1 | 1 | 0 | 0 | 05/01/2019 |
| 1 | 1 | 0 | 0 | 06/01/2019 |
| 2 | 1 | 1 | 0 | 03/01/2019 |
| 2 | 1 | 0 | 0 | 04/01/2019 |
| 2 | 1 | 0 | 0 | 05/01/2019 |
| 2 | 1 | 0 | 0 | 06/01/2019 |
| 3 | 1 | 0 | 0 | 01/06/2019 |
| 3 | 1 | 0 | 1 | 02/06/2019 |
Thanks,
if I can provide any more info or explain the issue any further I'd be glad to do so
Solved! Go to Solution.
Hi @ixtilion,
I got this code to work on your sample data
Measure =
VAR _t =
ADDCOLUMNS (
VALUES ( 'Table'[EMPLOYEE ID] );
"c1"; CALCULATE ( SUM ( 'Table'[CHECK] ) );
"c2"; CALCULATE ( SUM ( 'Table'[CHECK2] ) )
)
VAR _tt =
CALCULATETABLE (
VALUES ( 'Table'[EMPLOYEE ID] );
FILTER ( 'Table'; ( 'Table'[EMPLOYEE ID]; 0; 0 ) IN _t )
)
RETURN
CALCULATE (
SUM ( 'Table'[VALUE] );
FILTER ( 'Table'; ( 'Table'[EMPLOYEE ID] ) IN _tt )
)Regards,
S
Hi @ixtilion,
I got this code to work on your sample data
Measure =
VAR _t =
ADDCOLUMNS (
VALUES ( 'Table'[EMPLOYEE ID] );
"c1"; CALCULATE ( SUM ( 'Table'[CHECK] ) );
"c2"; CALCULATE ( SUM ( 'Table'[CHECK2] ) )
)
VAR _tt =
CALCULATETABLE (
VALUES ( 'Table'[EMPLOYEE ID] );
FILTER ( 'Table'; ( 'Table'[EMPLOYEE ID]; 0; 0 ) IN _t )
)
RETURN
CALCULATE (
SUM ( 'Table'[VALUE] );
FILTER ( 'Table'; ( 'Table'[EMPLOYEE ID] ) IN _tt )
)Regards,
S
@sturlaws thanks a lot, it works perfectly and I learned something about using variables and tables in DAX expressions!
Im going to try it out in a real enviroment with a lot of rows and see how it performs, thanks for the insight 🙂
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