Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
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
I currently have a matrix where the cells represent averages of values. But the request now is to use "root mean square" (RMS) as the aggregate. Since that's not one that Power BI offers out of the box, I'm wondering the most straightforward way to implement it. To clarify, RMS is the square root of the average of all the contributing values squared.
Solved! Go to Solution.
Hi, @bvy , it's straightforward,
Measure RMS = SQRT(AVERAGEX(tb, tb[Value]^2))
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Hi, @bvy , it's straightforward,
Measure RMS = SQRT(AVERAGEX(tb, tb[Value]^2))
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
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.
| User | Count |
|---|---|
| 46 | |
| 43 | |
| 39 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 68 | |
| 65 | |
| 31 | |
| 28 | |
| 24 |