问题
I need to sum all values in each row and display them in a calculated column. As I deal with lots of columns in lots of tables, adding something like
CalculatedColumn = 'public table_name'[column1] + 'public table_name'[column2] + ... + 'public table_name'[column528]
is really inefficient. Is there a shorter way of doing this?
回答1:
Yes, there is. You should "Unpivot other columns" and then "Group By" using the Query Editor.
Suppose this dataset:
item;col1;col2;col3;col4;col5 apple;1;2;3;4;5 orange;1;2;3;5;8 banana;1;2;4;6;8
Load it up, and open the query editor.
Choose "Unpivot Other Columns":
You should now see this:
On the "Transform" tab in the ribbon, choose the leftmost "Group By" option. And fill out the dialog like so:
You should now have the wanted end result:
You could also skip the Group By step and let your visualization handle that.
PS. Should you need a few non-summed columns too I recommend either creating a duplicate dataset with the same source and either linking it to the original table with a relationship, or merging it so you get a final table with all wanted columns.
Footnote, this is the Power Query that is generated for you:
let
Source = Csv.Document(File.Contents("D:\Experiments\PowerBi\denormalized.csv"),[Delimiter=";", Columns=6, Encoding=1252, QuoteStyle=QuoteStyle.None]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"item", type text}, {"col1", Int64.Type}, {"col2", Int64.Type}, {"col3", Int64.Type}, {"col4", Int64.Type}, {"col5", Int64.Type}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"item"}, "Attribute", "Value"),
#"Grouped Rows" = Table.Group(#"Unpivoted Other Columns", {"item"}, {{"SumCol", each List.Sum([Value]), type number}})
in
#"Grouped Rows"
来源:https://stackoverflow.com/questions/42722567/calculated-column-with-the-sum-of-values-from-many-columns-in-a-row