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Table transformation
Hello, I am trying to transform a table which is: Client Estat Any Import EU Línea base 2017 10000 EU Adjudicat 2017 3000 EU En contractació 2017 2000 EU En contracta...
The suggested (un)pivot solution could look like this:
let Source = Table1, #"Pivoted Column" = Table.Pivot(Source, List.Distinct(Source[Estat]), "Estat", "Import"), #"Added Custom" = Table.AddColumn(#"Pivoted Column", "Pendent", each [Línea base] - [Adjudicat] - [En contractació], Int64.Type), #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Línea base"}), #"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"Client", "Any", "Pendent", "Adjudicat", "En contractació"}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Reordered Columns", {"Client", "Any"}, "Attribute", "Value") in #"Unpivoted Columns"
Hi pect,
go to the query Editor:
and add a "Custom Column"
Than you can craete a new, custom column with the formular you stated:
Hi,
Thanks but I am afraid this doesn't work with my request. My calculation depends on only one column "Import".
I appreciate any other help you could provide me!
Thank you very much.
Now I understand!
- Right Click on the table in query Editor and Click "Rerence". Do this 3 times and call every tables coresponding to the "Estat" Values "Línea base" ,"Adjudicat", "En contractació" for example.
- Filter every table to only display the corresponding Estat value "Línea base" ,"Adjudicat", "En contractació". (Click on the Arrow in the column header and filter it) and call the coumns "Línea base" - "Adjudicat" - "En contractació".
- Now you can join the tables based on the columns "client" and "any" or any other kind of identification column(s) in one new table.
- Now you have 3 columns next to each other with the values of "Línea base" ,"Adjudicat", "En contractació" and you can use a custom column.
- Dont forgeht to disable "Enable Load" on the intermediate querys which you dont need in your final data model and RAM (Right click on querys and Disable"Enable Load").
Does this help you`?