Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hi Everyone,
I know this is probably really simple but I've been struggling with it for the last two hours - I need to filter out the blue orders out of the first table then filter out the red shipments from the second. then subtract the red orders from the blue shipments. I've tried to filter the values but it never works. any assistance would be appreciated
| Orders | Shipment | |||
| Red | 10 | Blue | 50 | |
| Blue | 20 | Red | 40 | |
| Red | 30 | Blue | 30 | |
| Blue | 40 | Red | 20 | |
| Red | 50 | Blue | 10 | |
| Blue | 10 | Red | 50 | |
| Red | 20 | Blue | 40 | |
| Blue | 30 | Red | 30 | |
| Red | 40 | Blue | 20 | |
| Blue | 50 | Red | 10 |
Solved! Go to Solution.
Hi @tjeffries
try a measure
Measure =
CALCULATE(SUM('Shipment'[Value]), 'Shipment'[Colour] = "Blue") -
CALCULATE(SUM('Orders'[Value]), 'Orders'[Colour] = "Red")
Hi @tjeffries
try a measure
Measure =
CALCULATE(SUM('Shipment'[Value]), 'Shipment'[Colour] = "Blue") -
CALCULATE(SUM('Orders'[Value]), 'Orders'[Colour] = "Red")
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 57 | |
| 38 | |
| 33 | |
| 19 | |
| 16 |
| User | Count |
|---|---|
| 69 | |
| 66 | |
| 41 | |
| 32 | |
| 25 |