Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hello Community - I need to break apart this measure and effectively look at Standard SKUs and Custom SKUs separately.
Solved! Go to Solution.
@Anonymous Maybe:
Measure =
VAR __Standard = SUMX(FILTER('Flu_Shipped Query',('Flu_Shipped Query'[DateShipped]>DATE(2019,09,01) && 'Flu_Shipped Query'[SKU Types]="Standard SKUs")),[ERP Quantity Shipped2])
VAR __Custom = SUMX(FILTER('Flu_Shipped Query',('Flu_Shipped Query'[DateShipped]>DATE(2019,09,01) && 'Flu_Shipped Query'[SKU Types] = "Custom SKUs" = "PSUs" ),[ERP Quantity Shipped2])
RETURN
__Standard + __Custom
@Anonymous Maybe:
Measure =
VAR __Standard = SUMX(FILTER('Flu_Shipped Query',('Flu_Shipped Query'[DateShipped]>DATE(2019,09,01) && 'Flu_Shipped Query'[SKU Types]="Standard SKUs")),[ERP Quantity Shipped2])
VAR __Custom = SUMX(FILTER('Flu_Shipped Query',('Flu_Shipped Query'[DateShipped]>DATE(2019,09,01) && 'Flu_Shipped Query'[SKU Types] = "Custom SKUs" = "PSUs" ),[ERP Quantity Shipped2])
RETURN
__Standard + __Custom
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 38 | |
| 36 | |
| 33 | |
| 33 | |
| 29 |
| User | Count |
|---|---|
| 134 | |
| 96 | |
| 78 | |
| 67 | |
| 65 |