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
Hi there.
I?m actually courious to kown if I can filter data simply selecting a column of a graph.
I have 2 graphs, one with events name in X-axis, and double values:
-Duration of events in columns
-numbers of events in a row.
In the second one, I have the same informations but with weeks in X-axis.
Actually, if I select a event in the first graph, this is what happens: as you can see, it actually filter the data but not in the way that I need:
What I need, by selecting a column, is this (in the second graph):
Now i just use a filter view to do the job, but will be easier with column selection.
Is that possible?
Solved! Go to Solution.
Hi @andreazambon,
In your case, the interactions between the visuals are set to highlight. You can use columns as filter by going to Format->Edit Interactions and changing the interaction type to Filter.
Did I answer your question? Mark this post as a solution if I did!
Consider taking a look at my blog: How to Export Telemetry Data from Azure IoT Central into Power BI
Hi @andreazambon,
In your case, the interactions between the visuals are set to highlight. You can use columns as filter by going to Format->Edit Interactions and changing the interaction type to Filter.
Did I answer your question? Mark this post as a solution if I did!
Consider taking a look at my blog: How to Export Telemetry Data from Azure IoT Central into Power BI
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 |
|---|---|
| 44 | |
| 43 | |
| 38 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 68 | |
| 64 | |
| 31 | |
| 29 | |
| 24 |