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Hi,
This may be a simple solutuion, I dont use Power BI much. I'll include a sample of the issue. In a matrix, is there any way to only show rows if it has certain criteria?
Here is the underlying data
Here is the matrix:
I want to only show the highlighted ones because it has both alt and reg.
Thanks in advance.
Solved! Go to Solution.
Ah, I see... But always up for a challenge. Try this as a filter:
FILTER 2 =
IF (
CALCULATE (
DISTINCTCOUNT ( 'Table'[Payment Type] ),
ALLEXCEPT ( 'Table', 'Table'[Claim #] )
) = 2,
1,
IF ( MAX ( 'Table'[Payment Type] ) = "ALT", 1 )
)
Proud to be a Super User!
Paul on Linkedin.
Here is one way. Create an unrelated table using:
Reference table = SUMMARIZE('Table','Table'[Claim #],'Table'[Payment Type])
Create a measure to use as a filter in the visual:
Filter =
VAR _ALT =
CALCULATETABLE (
VALUES ( 'Reference table'[Claim #] ),
FILTER ( 'Reference table', 'Reference table'[Payment Type] = "ALT" )
)
VAR _ALL =
VALUES ( 'Table'[Claim #] )
RETURN
COUNTROWS ( INTERSECT ( _ALT, _ALL ) )
Cretae the visual and add the [Filter] measure to the filter pane for the visual and set the value to 1
Proud to be a Super User!
Paul on Linkedin.
Thank you for your help @PaulDBrown . Unfortunately, I cant create a new table because its connected to a live database. I appreciate your time!
Ah, I see... But always up for a challenge. Try this as a filter:
FILTER 2 =
IF (
CALCULATE (
DISTINCTCOUNT ( 'Table'[Payment Type] ),
ALLEXCEPT ( 'Table', 'Table'[Claim #] )
) = 2,
1,
IF ( MAX ( 'Table'[Payment Type] ) = "ALT", 1 )
)
Proud to be a Super User!
Paul on Linkedin.
@tangerinemdr15 , Try a measure like
Sumx(filter(summarize(Table, Table[Claim#], "_sum", sum(Table[Amount]) , "_cnt", calculate(DistinctCount(Table[Payment Type]), filter(Table, Table[Payment Type] in {"REG","ALT"} ))),[_cnt] =2), [_sum])
@amitchandak Thank you so much! that was perfect! I realized, though, that I needed to modify my question. what would be the measure for this result? I would like to see only those with ALT and Reg or only ALT. Sorry!
Hi,
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