Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
Hi,
I have an SQL DB with 2 tables, Staff & Pay.
There is a Many to one rel-ship based on Staff ID column.
A staff is active or inactive based on their start & end date. If end date is blank then staff is active. If end date is before current day then staff is inactive etc.
Table Pay has a date column that shows every day a staff got paid.
What I need to show is for every Week in Table Pay, the number of staff that were Active in that week but did not get paid i.e they did not work.
I don't even know if this is possible or where to start with this.
Hi @Qotsa,
Could you please mark the proper answers as solutions?
Best Regards,
Hi @Qotsa,
Please download a demo from the attachment. If you have a similar scenario, you can try it out.
Measure = SUMX ( ADDCOLUMNS ( Staff, "IfNotPaid", IF ( CALCULATE ( COUNTROWS ( Pay ), FILTER ( Pay, Pay[Date] >= MIN ( Staff[Start] ) && Pay[Date] <= IF ( ISBLANK ( Staff[End] ), DATE ( 9999, 12, 31 ), MIN ( Staff[End] ) ) && Pay[Pay] <> 0 && NOT ISBLANK ( Pay[Pay] ) ) ) < 5, 1, 0 ) ), [IfNotPaid] )
Best Regards,
Hello @Qotsa,
would you mind posting a sample of your data set?
thank you
Did I answer your question correctly? Mark my answer as a solution!
Proud to be a Datanaut!
Hi @LivioLanzo,
Thanks for your reply. I'm not sur how I'd even do that except for uploading the whole pbix.
@Qotsa it is possible to post tabular data which can be copy pasted
Did I answer your question correctly? Mark my answer as a solution!
Proud to be a Datanaut!
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 63 | |
| 51 | |
| 41 | |
| 23 | |
| 18 |
| User | Count |
|---|---|
| 134 | |
| 111 | |
| 50 | |
| 31 | |
| 29 |