Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Get Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now

Reply
Dellis81
Post Prodigy
Post Prodigy

Weighted Average

Hello - I am needing help with a weighted average calculate across multiple combination of categories.   This is a first attempt, utilizing PBI quickmeasures - unfortunately only allows one category

 

Moisture WtAvg per Field = 
VAR __CATEGORY_VALUES = VALUES('Table'[Field])
RETURN
	DIVIDE(
		SUMX(
			KEEPFILTERS(__CATEGORY_VALUES),
			CALCULATE([SumMoisture] * [WetBushels])
		),
		SUMX(KEEPFILTERS(__CATEGORY_VALUES), CALCULATE([WetBushels]))
	)

 

I am really needing a single? measure that can handle most any combination of categories.

 

The three most needed are identified in the attached file - as visuals.

 

The blue circled should be 14.0% and Red 20.87%

 

WtAvg.PNG

Hopefully this google link with example file will work for you!

https://drive.google.com/open?id=1H4-ELiGSIK-v3el6zlBNABFugJfModo0

 

As Always - thank you!

1 ACCEPTED SOLUTION
AlexisOlson
Super User
Super User

You need to iterate at the lowest level of granularity for it to work properly at all levels.

 

In this case, you can iterate at the table row level to keep things simple.

 

 

Avg Moisture =
DIVIDE (
    SUMX ( 'Table', [SumMoisture] * [WetBushels] ),
    SUMX ( 'Table', [WetBushels] )
)

 

Note that this gives 14% for both numbers circled. The value 20.87% makes no sense when all of the moisture measurements are below 16%.

View solution in original post

4 REPLIES 4
Ashish_Mathur
Super User
Super User

Hi,

How did you calculate the 20.87%?


Regards,
Ashish Mathur
http://www.ashishmathur.com
https://www.linkedin.com/in/excelenthusiasts/

Sorry, I was working off a spreadsheet, and had a transposed number.   Appreciate your time - solution has been found.

AlexisOlson
Super User
Super User

You need to iterate at the lowest level of granularity for it to work properly at all levels.

 

In this case, you can iterate at the table row level to keep things simple.

 

 

Avg Moisture =
DIVIDE (
    SUMX ( 'Table', [SumMoisture] * [WetBushels] ),
    SUMX ( 'Table', [WetBushels] )
)

 

Note that this gives 14% for both numbers circled. The value 20.87% makes no sense when all of the moisture measurements are below 16%.

Thank you very much.   After all my google searches, your solution is so elegant.   Apologize on the 20% number, I was working off a spreadsheet, and had a wrong number typed in.

 

Thank you!

Helpful resources

Announcements
Fabric Data Days Carousel

Fabric Data Days

Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!

October Power BI Update Carousel

Power BI Monthly Update - October 2025

Check out the October 2025 Power BI update to learn about new features.

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.

Top Solution Authors