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

Level up your Power BI skills this month - build one visual each week and tell better stories with data! Get started

Reply
mheyde
New Member

Counting/Summing values based on a fields information

Hi,

 

I am trying to COUNT and SUM values of a table based on particular conditions/values of other cells.

 

Example: 
SUM "Amount" where "OrderType"= Refund

Expected Result: -30,00

 

or

COUNT "ItemQuantity" where "OrderType"= Order and "OrderDate" 25.10.2022<26.10.2022

Expected Result: 6

 

Sample Data:

mheyde_1-1670425040506.png

 

Thank you for your help

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @mheyde ,

 

Based on your sample data and expected results, you can create two measures.

Measure = CALCULATE(SUM('Table'[Amount]),FILTER('Table',[OrderType]="Refund"))
Measure 2 = CALCULATE(SUM('Table'[ItemQuantity]),FILTER('Table',[OrderType]="Order"&&[OrderDate]>=DATE(2022,10,25)&&[OrderDate]<=DATE(2022,10,26)))

vstephenmsft_0-1670469003334.png

However, the above two formulas will dynamically change the result according to the filtering of slicers or filters, such as the following cases.

vstephenmsft_1-1670469076033.png

If you want to remove the slicer's filter, add the ALL function to it.

Measure = CALCULATE(SUM('Table'[Amount]),FILTER(ALL('Table'),[OrderType]="Refund"))
Measure 2 = CALCULATE(SUM('Table'[ItemQuantity]),FILTER(ALL('Table'),[OrderType]="Order"&&[OrderDate]>=DATE(2022,10,25)&&[OrderDate]<=DATE(2022,10,26)))

vstephenmsft_2-1670469143630.png

 

 

Best Regards,

Stephen Tao

 

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

2 REPLIES 2
mheyde
New Member

It works. thank you so much

Anonymous
Not applicable

Hi @mheyde ,

 

Based on your sample data and expected results, you can create two measures.

Measure = CALCULATE(SUM('Table'[Amount]),FILTER('Table',[OrderType]="Refund"))
Measure 2 = CALCULATE(SUM('Table'[ItemQuantity]),FILTER('Table',[OrderType]="Order"&&[OrderDate]>=DATE(2022,10,25)&&[OrderDate]<=DATE(2022,10,26)))

vstephenmsft_0-1670469003334.png

However, the above two formulas will dynamically change the result according to the filtering of slicers or filters, such as the following cases.

vstephenmsft_1-1670469076033.png

If you want to remove the slicer's filter, add the ALL function to it.

Measure = CALCULATE(SUM('Table'[Amount]),FILTER(ALL('Table'),[OrderType]="Refund"))
Measure 2 = CALCULATE(SUM('Table'[ItemQuantity]),FILTER(ALL('Table'),[OrderType]="Order"&&[OrderDate]>=DATE(2022,10,25)&&[OrderDate]<=DATE(2022,10,26)))

vstephenmsft_2-1670469143630.png

 

 

Best Regards,

Stephen Tao

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Helpful resources

Announcements
April Power BI Update Carousel

Power BI Monthly Update - April 2026

Check out the April 2026 Power BI update to learn about new features.

Fabric SQL PBI Data Days

Data Days 2026 coming soon!

Sign up to receive a private message when registration opens and key events begin.

New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.