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
I have a table showing similar information to this:
| Sales Person A | Sales Person B | Sales Person C | |
| Sector A | 10 | 12 | 15 |
| Sector B | 11 | 13 | 14 |
| Sector C | 12 | 15 | 10 |
What this shows is for each sector the sales person has made X number of sales.
In this basic example the average sales for Sector A is 12.3. Meaning Sales Person A is below average for this industry.
In essence based on the different Sectors (in my real data I have 10+) I want to conditional format the sales persons numbers by averages.
I had the idea of calculation average sales per sector as a measure but then I am not sure how to acheive my end goal.
Solved! Go to Solution.
@andrewb95 , assume you have measure sales, create a measure like this, and use that in conditional formatting using the field value option
Measure =
var _sales = [sales]
var _avg = calculate(averageX(Values(Table[sales Person]), [sales]), filter(allselected(Table), Table[Sector] = max(Table[Sector])))
return
Switch( True() ,
_sales < _avg , "red",
"green"
)
@andrewb95 , assume you have measure sales, create a measure like this, and use that in conditional formatting using the field value option
Measure =
var _sales = [sales]
var _avg = calculate(averageX(Values(Table[sales Person]), [sales]), filter(allselected(Table), Table[Sector] = max(Table[Sector])))
return
Switch( True() ,
_sales < _avg , "red",
"green"
)
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 |
|---|---|
| 34 | |
| 29 | |
| 29 | |
| 21 | |
| 18 |
| User | Count |
|---|---|
| 69 | |
| 48 | |
| 33 | |
| 24 | |
| 24 |