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
Hi all,
I am sorry if this is a question asked before, but I can't find it.
I use a Table.Group function in Power Query to group my table on three summarizations. But the table I am extracting from gets new attributes on a regular basis. Now I have to manual add these columns to the first part of the Table.Group function.
Is there a possibility to add something like a Table.Group except the summarizations Lists? So when a new column gets added to the table in the datamart, and my dataset is refreshed, I don't have to add this manually?
Thanks!
Solved! Go to Solution.
Cols = Table.ColumnNames(PreviousStep)
SumCols = {"Sum1","Sum2","Sum3"} // hardcoded or apply some filter to Cols list
GroupCols = List.Difference(Cols, SumCols)
Group = Table.Group ( PreviousStep, GroupCols, List.Transform ( SumCols, (Col)=> {Col, each List.Sum(_[Col]), type number}) )
Cols = Table.ColumnNames(PreviousStep)
SumCols = {"Sum1","Sum2","Sum3"} // hardcoded or apply some filter to Cols list
GroupCols = List.Difference(Cols, SumCols)
Group = Table.Group ( PreviousStep, GroupCols, List.Transform ( SumCols, (Col)=> {Col, each List.Sum(_[Col]), type number}) )
Hi, thanks for this reaction.
unfortunately, I run into an error:
Expression.Error: The column '_Col' of the table wasn't found. Details: _Col
I am not sure what is going wrong here, Col should not be a column but should represent the columns in SumCols of course..
--edit--
If I replace the List.Transform part with the individual Sum expressions (so I use the columns instead of the list), it works..
Thanks for the first part anyway, this was the most needed!
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 19 | |
| 10 | |
| 9 | |
| 7 | |
| 6 |