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I have a matrix, which has around 6-7 fields plotted as rows (for grouping, expand collapse). The matrix has 10+ columns.
In value, I have a single measure, which returns value based on the column it is plotted for.
ie.
CALCULATE ( SWITCH ( SelectedValue, "Column1", [measure1], "Column2", [measure2], "Column3", [measure3], "Column4", [measure4], . . . "column20", [measure20] ) )
Everything works perfectly here. Now we have a measure, which sums all measures used in the switch case above. This measure is used as a visual level filter for the matrix, so we can remove rows where all values are zero.
This works as well, however, it takes a heavy toll on performance. Thus, I am looking for a more efficient and less performance-intensive approach to filter rows in a matrix where all values are zero.
Any help would be appreciated, thank you.
Solved! Go to Solution.
Hi @vinaypugalia ,
I'd like to suggest you unpivot these 10 column and convert them as attribute and value on query editor side.
Then you can write measure formula with simple conditions to check all records based on its attribute and correspond values.
Regards,
Xiaoxin Sheng
Hi @vinaypugalia ,
I'd like to suggest you unpivot these 10 column and convert them as attribute and value on query editor side.
Then you can write measure formula with simple conditions to check all records based on its attribute and correspond values.
Regards,
Xiaoxin Sheng
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