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, apologies if this has been answered in another thread, perhaps I am not phrasing my question correctly.
I have data that looks like this (each row is a 'job'):
| Region | Status | Status Key |
| West Midlands | Complete | 1 |
| West Midlands | Complete | 1 |
| West Midlands | Not Complete | 0 |
| East Midlands | Complete | 1 |
| East Midlands | Complete | 1 |
| East Midlands | Complete | 1 |
| North East | Not Complete | 0 |
| North East | Not Complete | 0 |
| North East | Complete | 1 |
On a clustered chart, I want to show the Region on the Axis, and the Status as the legend.
For each region, I want to know the total no. of Jobs in that region, and then beside it the % complete.
Can anyone help please?
Solved! Go to Solution.
Hi @Aimeeclaird ,
Based on your description, you can create these two measures:
Total = COUNTROWS('Table')
Percentage =
VAR _complete =
CALCULATE ( COUNT ( 'Table'[Region] ), 'Table'[Status] = "Complete" )
RETURN
_complete / [Total]
Attached a sample file in the below, hopes to help you.
Best Regards,
Yingjie Li
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Aimeeclaird ,
Based on your description, you can create these two measures:
Total = COUNTROWS('Table')
Percentage =
VAR _complete =
CALCULATE ( COUNT ( 'Table'[Region] ), 'Table'[Status] = "Complete" )
RETURN
_complete / [Total]
Attached a sample file in the below, hopes to help you.
Best Regards,
Yingjie Li
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 |
|---|---|
| 48 | |
| 45 | |
| 41 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 69 | |
| 63 | |
| 32 | |
| 31 | |
| 23 |