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

Earn a 50% discount on the DP-600 certification exam by completing the Fabric 30 Days to Learn It challenge.

Reply
Anonymous
Not applicable

Group data, apply measure to grouped data, then average across all groups

Hi, I'm really struggling to do this. 

 

Assume I have 'Table 1', with a list of data, and this has a relationship to 'Table 2'.

Table 2 says how the data in table 1 should be grouped. This is in column Table2[groupings]

 

I want to apply a measure 'Measure1' to the grouped data. Then average over the groups. 

 

How do I do this?

I've been looking over summerize and groupby all afternoon but can't work it out. I need this done in a measure so it can update by the report level filters if someone wants to remove some data from Table1. The end goal is to apply a z score to the grouped data. 

 

Thank you for your help

1 ACCEPTED SOLUTION

Hi @Anonymous ,

 

We can try use the following measure to meet your requirement:

 

avegrouped =
AVERAGEX (
    CALCULATETABLE ( DISTINCT ( Table2[groupings] ), ALLSELECTED ( Table2 ) ),
    CALCULATE ( [Measure1] )
)

 

If it does not meet your requirement, Could you please provide a mockup sample based on fake data or describle the fields of each tables and the relations between tables simply? It will be helpful if you can show us the exact expected result based on the tables. Please upload your files to OneDrive For Business and share the link here. Please don't contain any Confidential Information or Real data in your reply.


Best regards,

 

Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

7 REPLIES 7
Anonymous
Not applicable

I've made a very simple dataset and it's working with 

avegrouped = CALCULATE(AVERAGEX(SUMMARIZE(Table1,Table2[groupings],"meas",[Measure1]),[meas]),all(Table1))
It's not working with my real dataset, but that's not a problem with the DAX. 
Thanks for pointing me in the right direction Greg.

Hi @Anonymous ,

 

We can try use the following measure to meet your requirement:

 

avegrouped =
AVERAGEX (
    CALCULATETABLE ( DISTINCT ( Table2[groupings] ), ALLSELECTED ( Table2 ) ),
    CALCULATE ( [Measure1] )
)

 

If it does not meet your requirement, Could you please provide a mockup sample based on fake data or describle the fields of each tables and the relations between tables simply? It will be helpful if you can show us the exact expected result based on the tables. Please upload your files to OneDrive For Business and share the link here. Please don't contain any Confidential Information or Real data in your reply.


Best regards,

 

Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Anonymous
Not applicable

Thanks Dong Li,

 

That's worked perfectly. The problem with summerize was that my measure was a percentage using the number of items in the group. Your calculatetable managed to cope with that, when the summerize couldn't.

Anonymous
Not applicable

Hi Greg,
I've tried this (below), and it's giving me a different value for every group (I'm not sure what it's calcuting as it's returning something different to measure for each group).
I am expecting one answer returned which is the same for every group.
 
averagegrouped =
AVERAGEX ( SUMMARIZE(Table1,Table2[groupings],"meas",[Measure1]),[meas])
 
1.png
 
amitchandak
Super User
Super User

Not Clear.

Can you share sample data and sample output.

Greg_Deckler
Super User
Super User

This looks like a measure aggregation problem. See my blog article about that here: https://community.powerbi.com/t5/Community-Blog/Design-Pattern-Groups-and-Super-Groups/ba-p/138149


Follow on LinkedIn
@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
The Definitive Guide to Power Query (M)

DAX is easy, CALCULATE makes DAX hard...
Anonymous
Not applicable

Thanks Greg,

I'm going to go through your example now.

Helpful resources

Announcements
RTI Forums Carousel3

New forum boards available in Real-Time Intelligence.

Ask questions in Eventhouse and KQL, Eventstream, and Reflex.

MayPowerBICarousel

Power BI Monthly Update - May 2024

Check out the May 2024 Power BI update to learn about new features.

LearnSurvey

Fabric certifications survey

Certification feedback opportunity for the community.