Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi experts
I would you work out the percentage increase or decrease based on item and year for all products in dataset. This is just sample data.
Item year value
Apple 2020 5
Apple 2021 6
Solved! Go to Solution.
@Anonymous
Thanks!
If it works for you, go ahead and Accept as a Solution 🙂
________________________
If my answer was helpful, please consider Accept it as the solution to help the other members find it
Click on the Thumbs-Up icon if you like this reply 🙂
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
@Anonymous
Please try the Measure given below.
% Change =
VAR __ITEM = SELECTEDVALUE( Table8[Item] )
VAR __YEAR = SELECTEDVALUE(Table8[Year])- 1
VAR __LASTYEAR = CALCULATE( SUM(Table8[Value]), Table8[Item] = __ITEM, Table8[Year] = __YEAR)
VAR __VARIANCE = SUM(Table8[Value]) - __LASTYEAR
VAR __CHANGE = DIVIDE( __VARIANCE, __LASTYEAR)
RETURN
__CHANGE
________________________
If my answer was helpful, please consider Accept it as the solution to help the other members find it
Click on the Thumbs-Up icon if you like this reply 🙂
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
Fowmy
Many thanks for the excellent feedback
@Anonymous
Thanks!
If it works for you, go ahead and Accept as a Solution 🙂
________________________
If my answer was helpful, please consider Accept it as the solution to help the other members find it
Click on the Thumbs-Up icon if you like this reply 🙂
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 56 | |
| 47 | |
| 44 | |
| 20 | |
| 20 |
| User | Count |
|---|---|
| 73 | |
| 72 | |
| 34 | |
| 33 | |
| 31 |