Reputation: 848
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.
i.e.
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.
Upvotes: 1
Views: 3471
Reputation: 40204
One possibility would be to transform 0
values into blanks, which Power BI will hide if the whole column/row is blank.
Measure =
VAR Output =
CALCULATE (
SWITCH (
SelectedValue,
"Column1", [measure1],
"Column2", [measure2],
"Column3", [measure3],
"Column4", [measure4],
.
.
.
"column20", [measure20]
)
)
RETURN
IF ( Output = 0, BLANK(), Output )
Upvotes: 1