Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi ,
We have requriement to transform rows to columsn based on date dimention as menction in the below screen shots. Ideally we are expecting to transform the monthly dollar and unit data with a date dimension using the current year and month .every month will get flat file from that month 52 month need to show Units in the coloums and menctioned in the 2 nd screen shot.
any one have idea how to transofrm data to coloumns to rows.please let me know.Thanks
Solved! Go to Solution.
Hi @RAHIMANMD,
We have requriement to transform rows to columsn based on date dimention as menction in the below screen shots. Ideally we are expecting to transform the monthly dollar and unit data with a date dimension using the current year and month .every month will get flat file from that month 52 month need to show Units in the coloums and menctioned in the 2 nd screen shot.
any one have idea how to transofrm data to coloumns to rows.please let me know.Thanks
For your scenario, you could have a reference of this blog Pivot and Unpivot with Power BI.
Best Regards,
Cherry
Hi @RAHIMANMD,
We have requriement to transform rows to columsn based on date dimention as menction in the below screen shots. Ideally we are expecting to transform the monthly dollar and unit data with a date dimension using the current year and month .every month will get flat file from that month 52 month need to show Units in the coloums and menctioned in the 2 nd screen shot.
any one have idea how to transofrm data to coloumns to rows.please let me know.Thanks
For your scenario, you could have a reference of this blog Pivot and Unpivot with Power BI.
Best Regards,
Cherry
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
115 | |
99 | |
86 | |
70 | |
62 |
User | Count |
---|---|
151 | |
120 | |
103 | |
87 | |
68 |