This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
Hi,
How do i calculate values based on criteria referring single column, for example
Column 1 is week number and column 2 is Booking Amt
Now how can i get variance of booking amt like Booking Amt for Week 1 - Booking Amt for Week 2
thank you!!
Solved! Go to Solution.
Hi @AllG,
Add an index column in Query Editor mode. Before adding an index column, please sort data based on week number column.
Close and apply all these operations. But if [Column1] values are whole number type rather than text, there is no need to do above changes.
In design surface, add a calculated column using below formula:
variance of booking amt = IF ( 'booking amt'[Column1] = "Week1", BLANK (), LOOKUPVALUE ( 'booking amt'[Column2], 'booking amt'[Index], 'booking amt'[Index] - 1 ) - 'booking amt'[Column2] )
Best regards,
Yuliana Gu
Hi @AllG,
Add an index column in Query Editor mode. Before adding an index column, please sort data based on week number column.
Close and apply all these operations. But if [Column1] values are whole number type rather than text, there is no need to do above changes.
In design surface, add a calculated column using below formula:
variance of booking amt = IF ( 'booking amt'[Column1] = "Week1", BLANK (), LOOKUPVALUE ( 'booking amt'[Column2], 'booking amt'[Index], 'booking amt'[Index] - 1 ) - 'booking amt'[Column2] )
Best regards,
Yuliana Gu
Awesome!!! ![]()
thank you very much Yuliana Gu
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 30 | |
| 24 | |
| 23 | |
| 17 | |
| 15 |
| User | Count |
|---|---|
| 61 | |
| 36 | |
| 29 | |
| 22 | |
| 22 |