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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 @TinyElephant ,
Step1: unpivot the year columns.
Step2: filter experience column which value is blank.
Step3: unpivot the software columns.
Pbix as attached.
Best regards,
Jay
Hi @TinyElephant ,
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.
@TinyElephant 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
User | Count |
---|---|
140 | |
113 | |
104 | |
77 | |
65 |
User | Count |
---|---|
136 | |
117 | |
101 | |
71 | |
61 |