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!Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes! Register now.
Hi all . I am facing an error when ever I am trying to create a new calculated column.
The calculated Column is :
.
Hi, @Anonymous
Please check if below formula could help.
Revenue =
CALCULATE (
SUM ( ATE[Opportunity_value] ),
ALLEXCEPT ( ATE, ATE[ATE_GATE_Name] )
)
If it doesn't work, please share a sample file for further research.
Best Regards,
Community Support Team _ Eason
.
Hi, @Anonymous
Have you checked the summarize type of this calculated column?
Also, try converting it to a measure or use the following formula if it works.
Revenue =
SUMX ( VALUES ( ATE[ATE_GATE_Name] ), ATE[Opportunity_value] )
Without concrete sample data, it's hard for me to research further.
Best Regards,
Community Support Team _ Eason
@v-easonf-msft I have kept the calculated column to "dont summarize". for the requirements, measures are not allowed , they want to keep it in the rows section with a calculated column.
This new formula is also giving higher values.
Hi @Anonymous,
The problem is that you are creating a calculated column. GROUPBY and SUMMARIZE return a table so your formula will work fine when you use it to create a table, not calculated column.
Did I answer your question? Mark this post as a solution if I did!
Consider taking a look at my blog: How to Export Telemetry Data from Azure IoT Central into Power BI
Hi @Anonymous,
You can pick the required column from a DAX expression that returns a table and use the entire expression SELECTCOLUMNS(<DAX that returns Table>). Refer:
https://learn.microsoft.com/en-us/dax/selectcolumns-function-dax
Did I answer your question? Mark this post as a solution if I did!
Consider taking a look at my blog: How to Export Telemetry Data from Azure IoT Central into Power BI
User | Count |
---|---|
11 | |
9 | |
6 | |
5 | |
4 |