Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hi all, I've got a 3 tables which looks enquiries/sales/% conversion - First being Organisation Level, second Franchise, third Shop. Each shop sits within the following grouping : "Premium","Specialist","Volume"
I've created a measure which looks at the grouping and then the Conversion % to bring back either 1 2 or 3 which I'd then use for conditional formatting. It works at the shop level however when I replicate the tables for franchise and organisation (multiple shops in each grouping it doesn't work properly) as per the images below:
Shop Level: Condition works based on 1 = >= 35%, 2 = >=30% & <35%, 3 = <30%
Franchise Level:
The measure I'm using is the following:
Solved! Go to Solution.
Hi @Anonymous ,
You can change dax to this:
Condition =
Switch(
true(),
Max('LookUP Final'[Brand])="Volume"&& [% Dealt New] >=0.35, 1,
Max('LookUP Final'[Brand]="Volume"&& [% Dealt New] >=0.30 && [% Dealt New] <0.35,2,
Max('LookUP Final'[Brand]="Volume"&& [% Dealt New] >=0 && [% Dealt New] <0.30,3))))
If my answer is not what you need, can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
You can change dax to this:
Condition =
Switch(
true(),
Max('LookUP Final'[Brand])="Volume"&& [% Dealt New] >=0.35, 1,
Max('LookUP Final'[Brand]="Volume"&& [% Dealt New] >=0.30 && [% Dealt New] <0.35,2,
Max('LookUP Final'[Brand]="Volume"&& [% Dealt New] >=0 && [% Dealt New] <0.30,3))))
If my answer is not what you need, can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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 |
|---|---|
| 51 | |
| 37 | |
| 35 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 69 | |
| 65 | |
| 39 | |
| 33 | |
| 23 |