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steamexpert
Regular Visitor

Trying to calculate a running total column

Hi, 

 

I'm trying to calculate the running total for a table that has two columns Capacity input and Dummy Capacity. The total for the row should be Capacity input - dummy capacity. Example: line 1 in the table below should be 13 - 21 = -8.

 

Capacity input is the count of line items for each bin and Dummy Capacity is the average capacity per bin (this number can be hardcoded if it's going to make the calculation easier).

 

I looked around for a few ideas on how to write a DAX that could work, but I haven't been successful so far (you can see the output in the table below).

 

Here is the DAX: 

 
Running total = calculate(
sumx(
Project,
sum(Project[Capacity input])-AVERAGE(Project[Dummy Capacity])
),
filter(
ALLSELECTED(Project),
Project[End_Date__c]<=MAX(Project[End_Date__c])
)
)

 

The table below should give me:

 

Row 1 = 13 - 21 = -8

Row 2 = -8 +32 - 21 = +19

Row 3 = 19 + 32 -21 = +30

 

steamexpert_1-1621380339796.png

 

Thanks in advance for any help that you can provide.

 

Best,

Jose

 

 

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@steamexpert , Try with these changes

 


Running total = calculate(
sumx(
values(Project[End_Date__c bins]),
calculate(um(Project[Capacity input])-AVERAGE(Project[Dummy Capacity]))
),
filter(
ALLSELECTED(Project),
Project[End_Date__c]<=MAX(Project[End_Date__c])
)
)

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

@steamexpert , Try with these changes

 


Running total = calculate(
sumx(
values(Project[End_Date__c bins]),
calculate(um(Project[Capacity input])-AVERAGE(Project[Dummy Capacity]))
),
filter(
ALLSELECTED(Project),
Project[End_Date__c]<=MAX(Project[End_Date__c])
)
)

Full Power BI Video 20 Hours YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

This worked like a charm, thank you @amitchandak 

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