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Hi,
I tried using Switch, Switch True, functions for this but no variations seem to be working. I have 2 measures calculated and I want "PY Alts Book Yield" to apply where the row label = "Alternatives" and the "Book Yield" measure to apply for the other row labels. Is this possible without have to create a measure for each specific line item?
Solved! Go to Solution.
Hi @dkdirenzo ,
Please see this example. I show the value of measure in ‘Canada’ and measure2 or null in the other fields.
Measure =
"test1"
Measure 2 =
"test2"Measure3 =
IF (
ISINSCOPE ( financials[Product] ),
financials[Measure 2],
IF ( MAX ( financials[Country] ) = "Canada", financials[Measure], BLANK () )
)
The ISINSCOPE function returns true when the specified column is a level in the level hierarchy. with the help of this function different values can be returned at different levels of the matrix, for more details see the documentation: ISINSCOPE function (DAX) - DAX | Microsoft Learn.
If your Current Period does not refer to this, please clarify in a follow-up reply.
Best Regards,
Clara Gong
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @dkdirenzo ,
Please see this example. I show the value of measure in ‘Canada’ and measure2 or null in the other fields.
Measure =
"test1"
Measure 2 =
"test2"Measure3 =
IF (
ISINSCOPE ( financials[Product] ),
financials[Measure 2],
IF ( MAX ( financials[Country] ) = "Canada", financials[Measure], BLANK () )
)
The ISINSCOPE function returns true when the specified column is a level in the level hierarchy. with the help of this function different values can be returned at different levels of the matrix, for more details see the documentation: ISINSCOPE function (DAX) - DAX | Microsoft Learn.
If your Current Period does not refer to this, please clarify in a follow-up reply.
Best Regards,
Clara Gong
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
This worked perfectly. Thank you so much!
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