Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
Hi,
For instance I have a table like this:
| Customer | Cust ID | Type | Sales |
| A | 11 | Platinum | 100 |
| A | 11 | Gold | 20 |
| A | 11 | 300 | |
| B | 12 | Silver | 200 |
| C | 13 | Gold | 100 |
| C | 13 | Silver | 400 |
| D | 14 | Platinum | 600 |
Now I need to show in a card or some box the type of Customers:
Eg: If i select a customer name using the select box then ideally my result should be:
| Customer | Platinum | Gold | Silver |
| A | Yes | Yes | No |
I belive we should use DAX query to get the result. Please advice
Solved! Go to Solution.
You can create three columns.
Platinum =
VAR a=countx(FILTER('data',data[customer]=EARLIER(data[customer])&&data[TYPE]="Platinum"),data[customer])
Return if (a>=1, "Yes","No")Gold =
VAR a=countx(FILTER('data',data[customer]=EARLIER(data[customer])&&data[TYPE]="Gold"),data[customer])
Return if (a>=1, "Yes","No")Silver =
VAR a=countx(FILTER('data',data[customer]=EARLIER(data[customer])&&data[TYPE]="Silver"),data[customer])
Return if (a>=1, "Yes","No")Proud to be a Super User!
You can create three columns.
Platinum =
VAR a=countx(FILTER('data',data[customer]=EARLIER(data[customer])&&data[TYPE]="Platinum"),data[customer])
Return if (a>=1, "Yes","No")Gold =
VAR a=countx(FILTER('data',data[customer]=EARLIER(data[customer])&&data[TYPE]="Gold"),data[customer])
Return if (a>=1, "Yes","No")Silver =
VAR a=countx(FILTER('data',data[customer]=EARLIER(data[customer])&&data[TYPE]="Silver"),data[customer])
Return if (a>=1, "Yes","No")Proud to be a Super User!
This solution works fine with one exception.
The result comes as:
Customer Platinum Gold Silver
A Platinum Gold No
instead of
Customer Platinum Gold Silver
A Yes Yes No
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 23 | |
| 23 | |
| 21 | |
| 17 | |
| 13 |
| User | Count |
|---|---|
| 58 | |
| 50 | |
| 38 | |
| 29 | |
| 24 |