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

Compete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.

Reply
RSip
Frequent Visitor

Calculating average values in groups of 3 on most recent entries

Hello,

 

at this moment I have a table which looks similar to this:

 

Date               Liters             Group          

2022-08-30    65.22             1                    

2022-08-28    33.12             1                    

2022-08-27    42.29             1                    

2022-08-26    43.69             1                   

2022-08-25    78.22             1                   

2022-08-23    28.79             1                    

2022-08-20    46.58             1                    

2022-08-19    45.27             1                    

2022-08-18    19.62             1   

 

In my table I filter out 36 most recent records for each group and I am looking for a way to measure average values in 'Liters' column in groups of 3, for instance when we take first 3 rows: (65.22+33.12+42.29)/3=46.88. That way I would get 12 different values from 36 rows. Another problem with this table is that the values are taken from sharepoint and are always receiving new records, but this statistic needs to be done on 36 most recent entries. Filtering by hand is very time consuming, so I am looking for ways to make this automatic.  If anyone has any ideas, how this can be done, your help would be appreaciated.  

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@RSip , Create a column rank first

 

Rank = rankx(filter(Table, [group] = earlier([Group]) ), [Date], , desc, dense)

 

now you can use filter rank <=3 in measure

 

or create another column

 

Sum= AverageX(filter(Table, [group] = earlier([Group]) && [Rank] <=3),[Liters] )

 

 

Or create measure like

cnt = countx(filter(allselected(Table),[group] = max([Group])), [Date]) 

 

Sum= AverageX(filter(Values(Table[group]), [cnt ]<=3),calculate(Sum([Liters])) )

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

View solution in original post

2 REPLIES 2
amitchandak
Super User
Super User

@RSip , Create a column rank first

 

Rank = rankx(filter(Table, [group] = earlier([Group]) ), [Date], , desc, dense)

 

now you can use filter rank <=3 in measure

 

or create another column

 

Sum= AverageX(filter(Table, [group] = earlier([Group]) && [Rank] <=3),[Liters] )

 

 

Or create measure like

cnt = countx(filter(allselected(Table),[group] = max([Group])), [Date]) 

 

Sum= AverageX(filter(Values(Table[group]), [cnt ]<=3),calculate(Sum([Liters])) )

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

Thank you very much. It solved the problem.

Helpful resources

Announcements
July 2025 community update carousel

Fabric Community Update - July 2025

Find out what's new and trending in the Fabric community.

July PBI25 Carousel

Power BI Monthly Update - July 2025

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

Top Solution Authors