Forum Discussion
Granularity issue
have three tables geography, sector and sales:
when I test the results:
Expected results: how to correct it?
I put an example of pbix file https://drive.google.com/file/d/1SnEAuCTkPRNnFk9fFBsD4Ke8fhCxmqb6/view?usp=drivesdk
Hi Anonymous ,
Based on your description, I did a test. Maybe you have set a filter on "IDSALES" column like "<=200".
If you want to display this value on Power BI Desktop, You could just drag the field of "IDSALES" to the filter on table visual as follows.
Hope that's what you were looking for.
Best Regards,
Yuna
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
4 Replies
Hello Anonymous,
its not easy to say,how you got your results from, because you filtered something else in your excel sheet.
But as far I can see, you used the whole date range. And looking for industrial and finance in column sector1. Looking at the complete sales table actually every row consist of industrial or finance branch in column sector 1. So of course the total sum is 6291432.
A tip as well for connecting tables: Its easier to use distinct ID's. You use many equal names which looks more ambiguous. But anyway, in the data you tried to filter, the other dimension table didn't even come into play.
Hope it helps.
Anonymous
I think you have applied a filter on the IDSALES column in the sales table for IDs from 120 to 190. When I apply the same in Power BI you get the results, almost..
Hi Anonymous ,
Based on your description, I did a test. Maybe you have set a filter on "IDSALES" column like "<=200".
If you want to display this value on Power BI Desktop, You could just drag the field of "IDSALES" to the filter on table visual as follows.
Hope that's what you were looking for.
Best Regards,
Yuna
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
