This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
Hi Experts
Struggling on how i could convert the following measure into a calculated column in my table..
__freq = VAR ComplaintsByFiscalMo = ADDCOLUMNS(VALUES(PMS_FINANCIAL_PDS[Month Start]),"CountComplaints", CALCULATE(COUNTROWS(PMS_COMPLAINT))) VAR __table = GROUPBY(ComplaintsByFiscalMo,[CountComplaints],"__ties",COUNTX(CURRENTGROUP(),[Month Start])) VAR __table1 = ADDCOLUMNS(__table,"__ties1",[__ties] - 1) VAR __table2 = ADDCOLUMNS(__table1,"__freq",IF([__ties1]=0,0,[__ties1]*([__ties1]+1)*(2*[__ties1]+7))) RETURN SUMX(__table2,[__freq])
Solved! Go to Solution.
Hi Route217,
My sample is like below
| Month Start | value |
| 1 | 1 |
| 1 | 2 |
| 1 | 3 |
| 2 | 2 |
| 2 | 1 |
| 3 | 2 |
| 3 | 1 |
| 3 | 1 |
| 5 | 1 |
| 5 | 2 |
| 5 | 2 |
| 6 | 1 |
| 4 | 2 |
| 4 | 1 |
Then you could create calculated column like below
Column = var temp= CALCULATE(COUNT(PMS_COMPLAINT[month start]), ALLEXCEPT(PMS_COMPLAINT,PMS_COMPLAINT[Month Start]))-1 var mul= temp*(temp+1)*(2*temp+7) return mul Column 2 = SUMX(SUMMARIZE(PMS_COMPLAINT,PMS_COMPLAINT[Column],"avg",AVERAGE(PMS_COMPLAINT[Column])),[avg])
then you will get the result like below
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi Route217,
My sample is like below
| Month Start | value |
| 1 | 1 |
| 1 | 2 |
| 1 | 3 |
| 2 | 2 |
| 2 | 1 |
| 3 | 2 |
| 3 | 1 |
| 3 | 1 |
| 5 | 1 |
| 5 | 2 |
| 5 | 2 |
| 6 | 1 |
| 4 | 2 |
| 4 | 1 |
Then you could create calculated column like below
Column = var temp= CALCULATE(COUNT(PMS_COMPLAINT[month start]), ALLEXCEPT(PMS_COMPLAINT,PMS_COMPLAINT[Month Start]))-1 var mul= temp*(temp+1)*(2*temp+7) return mul Column 2 = SUMX(SUMMARIZE(PMS_COMPLAINT,PMS_COMPLAINT[Column],"avg",AVERAGE(PMS_COMPLAINT[Column])),[avg])
then you will get the result like below
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Check out the May 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 |
|---|---|
| 29 | |
| 27 | |
| 25 | |
| 19 | |
| 14 |
| User | Count |
|---|---|
| 56 | |
| 48 | |
| 37 | |
| 21 | |
| 20 |