Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
I'm trying to create custom groups of stores based on sales using an IF expression. I want to be able to use these groups as a filter or in the axis of a chart, so I think that the groups have to be a column, not a measure. The trouble is, I want to filter the data by a date range and geography, and if I create a column with an IF statement, it's static and cannot be filtered.
Any suggestions?
Hi @Mainer04401 ,
" The trouble is, I want to filter the data by a date range and geography, and if I create a column with an IF statement, it's static and cannot be filtered. "
In fact, calculated columns can also achieve dynamic effects.
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Search for and select Groups. Select All groups, and select New group. On the Group page, enter a name and description for the new group. Select a Membership type for either users or devices and then select Add dynamic query.
Hi @Mainer04401 ,
Please give us the sample data and explain the result you want to calculate.
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Better create a column using if or switch true.
Also refer : https://radacad.com/grouping-and-binning-step-towards-better-data-visualization
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 |
|---|---|
| 48 | |
| 45 | |
| 41 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 69 | |
| 64 | |
| 32 | |
| 31 | |
| 27 |