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!Calling all Data Engineers! Fabric Data Engineer (Exam DP-700) live sessions are back! Starting October 16th. Sign up.
Hi,
I have an loaded data into PowerBI and selected the TABLE visulization(Left side of the Picture). I need to convert the table in the left side into right side and i need to create an additional column by multiplying "PIMB * QM".
Can anyone help me to solve this problem?
Solved! Go to Solution.
Hey,
I would recommend to use the "Pivot Column" function from the Querd Editor, this helps to transform a long table into a wide table.
From
To this
You can create your new column m3 = m1 * m2 either in Power Query or with DAX
Basically it's a good idea to consider a row in a table as observation with various measurements. An observation should always be unique but can consist of various keys. From your example I would consider your column "Time" as key. During one observation two measurements have been taken "PIMB" and "QM".
For this reason I would Pivot the column "Determinant_Name".
Hopefully this gives you an idea
Regards
Tom
Hi @siva3012,
You can first pivot the table on the basis of Determinant Name column and then use the below calculation to create a Price column:
Hi @siva3012,
You can first pivot the table on the basis of Determinant Name column and then use the below calculation to create a Price column:
Hey,
I would recommend to use the "Pivot Column" function from the Querd Editor, this helps to transform a long table into a wide table.
From
To this
You can create your new column m3 = m1 * m2 either in Power Query or with DAX
Basically it's a good idea to consider a row in a table as observation with various measurements. An observation should always be unique but can consist of various keys. From your example I would consider your column "Time" as key. During one observation two measurements have been taken "PIMB" and "QM".
For this reason I would Pivot the column "Determinant_Name".
Hopefully this gives you an idea
Regards
Tom
Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes!
Check out the September 2025 Power BI update to learn about new features.