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The attached Excel file contain original data table ("Table") and the required results table.
This Table contains items qty in 3 warehouses, and qty rented at customers sites.
First, I need to get SUM of WH-qty and Rente- qty, for each item, and then I need to filter items that have "0" for WH-qty AND Rented- qty
I need a DAX measure to get the rows count in the results table.
| WH | Item No. | Qty. by WH | Rented Qty. | Item No. | Qty. by WH | Rented Qty. | |
| WH-1 | 6100020 | 48 | 0 | 8906030 | 0 | 0 | |
| WH-2 | 6100020 | 0 | 0 | 8900080-80 | 0 | 0 | |
| WH-3 | 6100020 | 24 | 0 | 8900090-80 | 0 | 0 | |
| WH-1 | 6100030 | 54 | 0 | ||||
| WH-1 | 6100040 | 46 | 0 | ||||
| WH-2 | 6100040 | 0 | 0 | ||||
| WH-3 | 6100040 | 8 | 0 | ||||
| WH-3 | 8900220 | 0 | 0 | ||||
| WH-2 | 8900220 | 140 | 34 | ||||
| WH-1 | 8900230 | 60 | 0 | ||||
| WH-2 | 8900230 | 8 | 40 | ||||
| WH-1 | 8900400 | 25 | 0 | ||||
| WH-2 | 8900400 | 17 | 47 | ||||
| WH-3 | 8900400 | 15 | 0 | ||||
| WH-1 | 8900410 | 32 | 0 | ||||
| WH-2 | 8900410 | 2 | 173 | ||||
| WH-3 | 8900410 | 22 | 0 | ||||
| WH-1 | 8900420 | 0 | 0 | ||||
| WH-3 | 8900420 | 2 | 0 | ||||
| WH-2 | 8900420 | 8 | 121 | ||||
| WH-1 | 8900430 | 0 | 0 | ||||
| WH-3 | 8900430 | 15 | 0 | ||||
| WH-2 | 8900430 | 10 | 44 | ||||
| WH-2 | 8900430 | 0 | 44 | ||||
| WH-1 | 8904011 | 3 | 0 | ||||
| WH-3 | 8904011 | 35 | 0 | ||||
| WH-2 | 8904011 | 35 | 0 | ||||
| WH-3 | 8906030 | 0 | 0 | ||||
| WH-1 | 8906100 | 0 | 0 | ||||
| WH-3 | 8906100 | 0 | 0 | ||||
| WH-2 | 8906100 | 0 | 38 | ||||
| WH-1 | 8900070-80 | 0 | 0 | ||||
| WH-1 | 8900080-80 | 0 | 0 | ||||
| WH-1 | 8900090-80 | 0 | 0 |
Solved! Go to Solution.
should 8900070-80 also be included in the result table?
if so, maybe you can try this
Measure =
VAR tbl=SUMMARIZE('Table','Table'[Item No.],"WH",sum('Table'[Qty. by WH]),"rent",sum('Table'[Rented Qty.]))
return COUNTROWS(FILTER(tbl,[WH]=0 && [rent]=0))
Proud to be a Super User!
should 8900070-80 also be included in the result table?
if so, maybe you can try this
Measure =
VAR tbl=SUMMARIZE('Table','Table'[Item No.],"WH",sum('Table'[Qty. by WH]),"rent",sum('Table'[Rented Qty.]))
return COUNTROWS(FILTER(tbl,[WH]=0 && [rent]=0))
Proud to be a Super User!
Thanks ryan_mayu 👍
you are right, 8900070-80 should also be in the results counting
you are welcome
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