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

Enhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.

Reply
tee_tt
Frequent Visitor

Calculate Sum of multiple columns and create a new table

I have a three tables that looks like this:

|season| production|      
|:------|:---------|
| A    | 12        |
| A    | 200       |
| A    | 40        |
| A    | 60        |


|season| production|      
|:------|:---------|
| B    | 11        |
| B    | 20        |
| B    | 400       |
| B    | 600       |


|season| production|      
|:------|:---------|
| C    | 119       |
| C    | 212       |
| C    | 466       |
| C    | 697       |

I want to have a table like this:

|seasons| Total_prodtn| Percentage_Prodtn|
|:------|:------------|:-----------------|
| A     |sum from A   | %                |
| B     |sum from A   | %                |
| c     |sum from c   |  %               |

I tried using DAX but it did not workout.

any better way to do this?

2 ACCEPTED SOLUTIONS
Jihwan_Kim
Super User
Super User

Hi,

Please check the below picture and the attached pbix file.

It is for creating a new table.

 

Untitled.png

 

 


If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Click here to visit my LinkedIn page

Click here to schedule a short Teams meeting to discuss your question.

View solution in original post

tamerj1
Super User
Super User

Hi @tee_tt 
Here is sample file with the solution for you reference https://we.tl/t-KIGcZQK6DS
There are three methods to handle this situation:

The first method is to create a new calculated table using dax as suggested by @Jihwan_Kim's solution.

The second solution which I do preffer is to append the three tables using power query (Shall require no dax):

5.png6.png7.png8.png

The third solution is by creating a common filter table that contains all the distinct seasons. You can create eaiter manually or using power query or using dax. Here is the solution using dax

1.png2.png3.png4.png

Sesons = 
DISTINCT (
    UNION (
        SELECTCOLUMNS ( TableA, "Season", TableA[Season] ),
        SELECTCOLUMNS ( TableB, "Season", TableB[Season] ),
        SELECTCOLUMNS ( TableC, "Season", TableC[Season] )
    )
)
Total Production = SUM ( TableA[Production] ) + SUM ( TableB[Production] ) + SUM ( TableC[Production] )
% Production = 
DIVIDE ( 
    [Total Production],
    CALCULATE ( 
        [Total Production],
        ALL ( Sesons[Season] )
    )
)

View solution in original post

4 REPLIES 4
tamerj1
Super User
Super User

Hi @tee_tt 
Here is sample file with the solution for you reference https://we.tl/t-KIGcZQK6DS
There are three methods to handle this situation:

The first method is to create a new calculated table using dax as suggested by @Jihwan_Kim's solution.

The second solution which I do preffer is to append the three tables using power query (Shall require no dax):

5.png6.png7.png8.png

The third solution is by creating a common filter table that contains all the distinct seasons. You can create eaiter manually or using power query or using dax. Here is the solution using dax

1.png2.png3.png4.png

Sesons = 
DISTINCT (
    UNION (
        SELECTCOLUMNS ( TableA, "Season", TableA[Season] ),
        SELECTCOLUMNS ( TableB, "Season", TableB[Season] ),
        SELECTCOLUMNS ( TableC, "Season", TableC[Season] )
    )
)
Total Production = SUM ( TableA[Production] ) + SUM ( TableB[Production] ) + SUM ( TableC[Production] )
% Production = 
DIVIDE ( 
    [Total Production],
    CALCULATE ( 
        [Total Production],
        ALL ( Sesons[Season] )
    )
)

Thank,

Perfect solution

tee_tt
Frequent Visitor

@Jihwan_Kim 
perfect solution 
thanks

Jihwan_Kim
Super User
Super User

Hi,

Please check the below picture and the attached pbix file.

It is for creating a new table.

 

Untitled.png

 

 


If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Click here to visit my LinkedIn page

Click here to schedule a short Teams meeting to discuss your question.

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.

Join our Fabric User Panel

Join our Fabric User Panel

This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.