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Krupture
Frequent Visitor

Calculating the SUM based on another table

diagram.png

 

Hi All,

 

I have the above tables and I would like to Calculate the sum of all back orders that can be filled where the IN SHIP stock can fill, per each x and y table. 

 

I tried the Calculate(sum(x[back orders), IN SHIP[state]="x", USERELATIONSHIP(x[title],IN SHIP[title])).

 

I think I may have to use Filter instead of userelationship, but not sure how to.

 

Could you please help?

 

Thank you!

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @Krupture ,

 

According to your description, here are my steps you can follow as a solution.

(1) My test data is the same as yours.

(2) We can create a measure. 

Measure = SWITCH(TRUE(),
MAX('IN SHIP'[State])="x",CALCULATE(SUM('x state Back Orders'[Back Orders]),FILTER(ALL('x state Back Orders'),'x state Back Orders'[State]=MAX('IN SHIP'[State])&& 'x state Back Orders'[Title]=MAX('IN SHIP'[Title]))),
MAX('IN SHIP'[State])="y",CALCULATE(SUM('y state Back Orders'[Back Orders]),FILTER(ALL('y state Back Orders'),'y state Back Orders'[State]=MAX('IN SHIP'[State]) && 'y state Back Orders'[Title]=MAX('IN SHIP'[Title]))),BLANK())

(3) Then the result is as follows.

vtangjiemsft_0-1679450694667.png

 

If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.

 

Best Regards,

Neeko Tang

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

4 REPLIES 4
Krupture
Frequent Visitor

Apologies about the delay, due to personal circumstances. I will report back tomorrow.

Krupture
Frequent Visitor

@Anonymous Thank you so much! I will report back on how I go with this

Anonymous
Not applicable

Hi @Krupture ,

 

According to your description, here are my steps you can follow as a solution.

(1) My test data is the same as yours.

(2) We can create a measure. 

Measure = SWITCH(TRUE(),
MAX('IN SHIP'[State])="x",CALCULATE(SUM('x state Back Orders'[Back Orders]),FILTER(ALL('x state Back Orders'),'x state Back Orders'[State]=MAX('IN SHIP'[State])&& 'x state Back Orders'[Title]=MAX('IN SHIP'[Title]))),
MAX('IN SHIP'[State])="y",CALCULATE(SUM('y state Back Orders'[Back Orders]),FILTER(ALL('y state Back Orders'),'y state Back Orders'[State]=MAX('IN SHIP'[State]) && 'y state Back Orders'[Title]=MAX('IN SHIP'[Title]))),BLANK())

(3) Then the result is as follows.

vtangjiemsft_0-1679450694667.png

 

If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.

 

Best Regards,

Neeko Tang

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

Krupture
Frequent Visitor

Hi All,

 

Did I post this in the wrong section? Apologies if I did, any help is hugely appreciated!

 

Thank you!

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