Hello Comunity,
Anyone have a solution for this?
On the below Table, I want to sum column "Qty" by distinct "Case ID" for only the the rows that don't have "BOX ID"
BOX ID | CASE ID | Qty | Date |
D1 | 1 | 1/1/2023 | |
D2 | C2 | 1 | 1/2/2023 |
D3 | C3 | 1 | 1/3/2023 |
D4 | C4 | 1 | 1/4/2023 |
C5 | 1 | 1/5/2023 | |
D6 | 1 | 1/6/2023 | |
D7 | 1 | 1/7/2023 | |
D8 | 1 | 1/8/2023 | |
D9 | C9 | 1 | 1/9/2023 |
C10 | 1 | 1/10/2023 | |
D11 | C11 | 1 | 1/11/2023 |
D12 | C12 | 1 | 1/12/2023 |
D13 | 1 | 1/13/2023 | |
D14 | 1 | 1/14/2023 | |
C15 | 1 | 1/15/2023 | |
D16 | C16 | 1 | 1/16/2023 |
D17 | C17 | 1 | 1/17/2023 |
D18 | C18 | 1 | 1/18/2023 |
D19 | C19 | 1 | 1/19/2023 |
Solved! Go to Solution.
Hi @MEDSEN ,
Please try:
Measure = CALCULATE(SUM('Table'[Qty]),FILTER('Table','Table'[BOX ID]=BLANK()))
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @MEDSEN ,
Please try:
Measure = CALCULATE(SUM('Table'[Qty]),FILTER('Table','Table'[BOX ID]=BLANK()))
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hello Jianbo Li,
This is very helpful. Thank you so much for your input.