Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
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
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
| User | Count |
|---|---|
| 97 | |
| 76 | |
| 52 | |
| 51 | |
| 46 |