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Hi,
I have a sample data with 256 rows & 16 columns. With all columns , I want to create a table (not "Matrix") that should depend on Slicers & other visualizations.
"Code" column has duplicate values. We have to create table with all columns that should show distinct rows based on "Code" column distinct values. "Color" & "Category" are Slicers.
sample criteria 1) if no filters on Slicers,
table should show 49 distinct rows ("Code" distinct values)
sample criteria 2) if Color = black & Category = bikes
then table should show 10 distinct rows (based on "Code" distinct values)
sample criteria 3) if Color = Red & Yellow (and) Category = "Components"
then table should show 10 distinct rows
We have a bar chart based on "Class" column items (H, L, M) distinct count (based on "Code" distinct values.)
sample criteria 4) If we select any single bar (Ex: "M") on bar chart then table should show 13 distinct rows related to that Bar (Class) "M"
Note: As there is no upload file option, I couldn't upload the sample file.
Hi @Anonymous
The first 3 criteria is easy to get.
In the criteria 4,you need to use a measure = DISTINCTCOUNT('table'[CODE]) as the value of the bar chart
And when you select the bar ,you need to clear the selection on the color and category slicers first.
Best Regards,
Community Support Team _Isabella
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi,
Write this measure and drag it to your visual
Measure = distinctcount(Data[Code])
Hope this helps.
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