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Hi all.
Can someone please help me solving this problem with me? I would really appreciate it.
So;
I have one table who looks like this:
|ID| |Coverage_x| |Coverage_y|
The ID here does not contain distinct values.
Then I have two fact tables connected to the first table.
The first of this contains:
|Coverage_x| |more info|
The other contains:
|Coverage_y| |more info|
This two tables are connected to the first on |Coverage_x| and |Coverage_y|
What i now want is to count distinct values in the first table with filter from the two others (Coverage_x and Coverage_y)
If this two tables was in one table i could use:
measure = CALCULATE(DISTINCTCOUNT(Table1[ID]); (Table2[Coverage_x])) || (Table2[Coverage_y])
But when they are in two seperate tables this does not work.
Then I have to make a new virtual table that contains info from all three tables and then DISTINCTCOUNT |ID| with the filters I want.
I cannot merge the two tables into the first, because the two other tables contains a lot of columns but a few rows.
Hope this was understandable, but please let me know if there is anything more you need to solve this.
Best regards
Solved! Go to Solution.
@Anonymous,
Please check if the following measure returns your expected result. If not, please post sample data as other's post.
Measure = CALCULATE(DISTINCTCOUNT(Table1[ID]),FILTER(Table1,Table1[Coverage_x]=RELATED(Table2[Coverage_x])||Table1[Coverage_y]=RELATED(Table3[Coverage_y])))
Regards,
Lydia
@Anonymous,
Please check if the following measure returns your expected result. If not, please post sample data as other's post.
Measure = CALCULATE(DISTINCTCOUNT(Table1[ID]),FILTER(Table1,Table1[Coverage_x]=RELATED(Table2[Coverage_x])||Table1[Coverage_y]=RELATED(Table3[Coverage_y])))
Regards,
Lydia
Thank you so much.
This worked exactly how I wanted 🙂
Marius
Sample data that can be easily copied and pasted would help recreate but my first suggestion would be to throw a RELATED or RELATEDTABLE into your CALCULATE for your Coverage_x and Coverage_y.
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