Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
Some help is appreciated 🙂
Please see below:
I am trying to create Scores. Formula being sum(Numerator)/Sum(Denominator) for that specific easure name.
Cna someone help me in creating a formula using Power Query.
Thank you
Solved! Go to Solution.
Hi @Anonymous ,
Power Query isn't really designed for creating measures such as this.
Is there a reason why you don't want to just apply this table to your data model and create a DAX measure for it?
For context, in DAX it would be as simple as:
_score =
VAR __numValue =
CALCULATE(
SUM(yourTable[Values]),
yourTable[Measures] = "Numerator"
)
VAR __denValue =
CALCULATE(
SUM(yourTable[Values]),
yourTable[Measures] = "Denominator"
)
RETURN
__numValue / __denValue
In Power Query it would likely be some significant gymnastics and an extended refresh time.
Pete
Proud to be a Datanaut!
Hi @Anonymous ,
Power Query isn't really designed for creating measures such as this.
Is there a reason why you don't want to just apply this table to your data model and create a DAX measure for it?
For context, in DAX it would be as simple as:
_score =
VAR __numValue =
CALCULATE(
SUM(yourTable[Values]),
yourTable[Measures] = "Numerator"
)
VAR __denValue =
CALCULATE(
SUM(yourTable[Values]),
yourTable[Measures] = "Denominator"
)
RETURN
__numValue / __denValue
In Power Query it would likely be some significant gymnastics and an extended refresh time.
Pete
Proud to be a Datanaut!
Perfect!! Thank you so much Pete 🙂 I am new to using DAX measures. But you explained in detailed way. That was really helpful.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
Check out the October 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 8 | |
| 7 | |
| 5 | |
| 4 | |
| 3 |