Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
I have some employee data in Excel table containing experience and software skills. I applied Unpivot Columns of both Experience and Software Skills separately and plotted them. The percentage/proportion is coming out correct but the count is exaggerated. Please suggest.
| Employee | 1-3 years | 4-8 years | 9+ years | Software 1 | Software 2 | Software 3 |
| John | Y | Y | Y | |||
| Derek | Y | Y | Y | |||
| Michael | Y | |||||
| William | Y | Y | Y | Y |
Solved! Go to Solution.
Hi @Anonymous ,
Step1: unpivot the year columns.
Step2: filter experience column which value is blank.
Step3: unpivot the software columns.
Pbix as attached.
Best regards,
Jay
Thanks. Any suggestions for the case when I have multiple such unpivoted headers and their values?
Any other way to represent the excel data would also be fine.
@Anonymous You can use:
Count Measure = COUNTROWS(DISTINCT('Table'[Employee]))
Attached a drive link to the Power BI file
https://drive.google.com/file/d/1ksOVue1bx8eyCCDSnKQuPMJDshnch7kK/view?usp=sharing
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 59 | |
| 46 | |
| 42 | |
| 23 | |
| 18 |
| User | Count |
|---|---|
| 190 | |
| 122 | |
| 96 | |
| 66 | |
| 47 |