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I have an example data set:
ID | Type | Quantity |
1 | IP | 1 |
2 | IP | 1 |
2 | OP | 7 |
3 | IP | 1 |
I want to sum the Quantity of OP types where the unique IDs have an IP and OP Line item. IE we would only sum ID 2 which would equal 7. What Dax measure could I create to do this?
Solved! Go to Solution.
How about this?
OP with IP =
VAR CalcTable =
ADDCOLUMNS (
VALUES ( Table01[ID] ),
"@HasIP", "IP" IN CALCULATETABLE ( VALUES ( Table01[Type] ) ),
"@QtyOP", CALCULATE ( SUM ( Table01[Quantity] ), Table01[Type] = "OP" )
)
RETURN
SUMX ( FILTER ( CalcTable, [@HasIP] ), [@QtyOP] )
How about this?
OP with IP =
VAR CalcTable =
ADDCOLUMNS (
VALUES ( Table01[ID] ),
"@HasIP", "IP" IN CALCULATETABLE ( VALUES ( Table01[Type] ) ),
"@QtyOP", CALCULATE ( SUM ( Table01[Quantity] ), Table01[Type] = "OP" )
)
RETURN
SUMX ( FILTER ( CalcTable, [@HasIP] ), [@QtyOP] )
Hi @Anonymous,
Depends on what you want to happen to the IP type rows.
Something like this?
[measure] =
CALCULATE (
SUM ( Table[Quantity] ),
Table[Type] = "OP"
)
Regards,
Kim
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
I want to ignore the IP rows, but sub the OP rows in whihc the ID was also associated with IP
Not sure I completely follow.
Does the measure I provided do that?
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
NO this will some all IDs that are OP, I want to some IDs that were IP but now OP.
I think I got what you're after with my answer but it would help to include in your sample data rows that distinguish between just summing OP and summing OP that were previously IP. These are identical with your given example.
ID | Type | Quantity |
1 | IP | 1 |
2 | IP | 1 |
2 | OP | 7 |
3 | OP | 1 |
4 | OP | 8 |
So in this example we owuld only want to sum ID 2, bc its the only one that was previously IP
Yeah, I got it. I'd recommend editing that into your original post though.
The DAX I suggested should work fine for this example.
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