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
Dear Community,
Need your help to insert custom row that is ratio of sum of alternate rows, like below: =(C2+C4)/(C3+C5)
For ex: Forecast Jan-22 = (3.1+3.3)/(1.2+5.2) = 100% etc
I have about 15 ID for which I need to create YELLOW row calculation:
Many thanks in advance !
Solved! Go to Solution.
Hi @Anonymous ,
Please try:
Unpivot the columns: Jan-22...Dec-22:
Then pivot the columns: measures and value
Add two columns:
Unpivot the columns(except ID and Attribute)
Then pivot the columns attribute and value
Here is the M code:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("pZJBa8MwDIX/Ssm5GEu2Y/u6wc5l1xJG6bxRGCkk3f+f+rQk7qAZY5cviRzr6Una75tAbJtt83QeyvEwXjbP5fg5DKf+ffNQ+vJ2uowvJOfOKKPQGy8MxoLXSGucMCISTStMiGREsklCsiY03XZN8fE8fsuRYTCAWciIMJIzIg4SDhEPIY+IR0lBCl5Xm/3xnMxDcHIW4CxWziKcMTwtFGfxLwYZ2ZV+Vrp9V7Zzhycm1EQg12q7j0Pfl9d780u4n6EhhaJsQh5imCOnD69nAf2gVicQdYIZF9jK2aryMsd6PVpMLSJjMnVRuip56uFSGmlj+TfBm1Gmad2sPpJmYs0U1CurV6devXrFn0m/sm7aj5ne88rVDv6PXfcF", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, Measures = _t, #"Jan-22" = _t, #"Feb-22" = _t, #"Mar-22" = _t, #"Apr-22" = _t, #"May-22" = _t, #"Jun-22" = _t, #"Jul-22" = _t, #"Aug-22" = _t, #"Sep-22" = _t, #"Oct-22" = _t, #"Nov-22" = _t, #"Dec-22" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"Measures", type text}, {"Jan-22", type number}, {"Feb-22", type number}, {"Mar-22", type number}, {"Apr-22", type number}, {"May-22", type number}, {"Jun-22", type number}, {"Jul-22", type number}, {"Aug-22", type number}, {"Sep-22", type number}, {"Oct-22", type number}, {"Nov-22", type number}, {"Dec-22", type number}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"ID", "Measures"}, "Attribute", "Value"),
#"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Measures]), "Measures", "Value"),
#"Added Custom" = Table.AddColumn(#"Pivoted Column", "Forecast/Actual ROI", each ([Forecast Recurring Benefits_1]+[Forecast Recurring Benefits_2])/([Forecast Recurring Costs_1]+[Forecast Recurring Costs_2])),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Planned ROI", each ([Planned Recurring Benefits_1]+[Planned Recurring Benefits_2])/([Planned Recurring Costs_1]+[Planned Recurring Costs_2])),
#"Unpivoted Columns1" = Table.UnpivotOtherColumns(#"Added Custom1", {"ID", "Attribute"}, "Attribute.1", "Value"),
#"Pivoted Column1" = Table.Pivot(#"Unpivoted Columns1", List.Distinct(#"Unpivoted Columns1"[Attribute]), "Attribute", "Value"),
#"Reordered Columns" = Table.ReorderColumns(#"Pivoted Column1",{"ID", "Attribute.1", "Jan-22", "Feb-22", "Mar-22", "Apr-22", "May-22", "Jul-22", "Jun-22", "Aug-22", "Sep-22", "Oct-22", "Nov-22", "Dec-22"}),
#"Renamed Columns" = Table.RenameColumns(#"Reordered Columns",{{"Attribute.1", "Measures"}})
in
#"Renamed Columns"
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
Please try:
Unpivot the columns: Jan-22...Dec-22:
Then pivot the columns: measures and value
Add two columns:
Unpivot the columns(except ID and Attribute)
Then pivot the columns attribute and value
Here is the M code:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("pZJBa8MwDIX/Ssm5GEu2Y/u6wc5l1xJG6bxRGCkk3f+f+rQk7qAZY5cviRzr6Una75tAbJtt83QeyvEwXjbP5fg5DKf+ffNQ+vJ2uowvJOfOKKPQGy8MxoLXSGucMCISTStMiGREsklCsiY03XZN8fE8fsuRYTCAWciIMJIzIg4SDhEPIY+IR0lBCl5Xm/3xnMxDcHIW4CxWziKcMTwtFGfxLwYZ2ZV+Vrp9V7Zzhycm1EQg12q7j0Pfl9d780u4n6EhhaJsQh5imCOnD69nAf2gVicQdYIZF9jK2aryMsd6PVpMLSJjMnVRuip56uFSGmlj+TfBm1Gmad2sPpJmYs0U1CurV6devXrFn0m/sm7aj5ne88rVDv6PXfcF", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, Measures = _t, #"Jan-22" = _t, #"Feb-22" = _t, #"Mar-22" = _t, #"Apr-22" = _t, #"May-22" = _t, #"Jun-22" = _t, #"Jul-22" = _t, #"Aug-22" = _t, #"Sep-22" = _t, #"Oct-22" = _t, #"Nov-22" = _t, #"Dec-22" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"Measures", type text}, {"Jan-22", type number}, {"Feb-22", type number}, {"Mar-22", type number}, {"Apr-22", type number}, {"May-22", type number}, {"Jun-22", type number}, {"Jul-22", type number}, {"Aug-22", type number}, {"Sep-22", type number}, {"Oct-22", type number}, {"Nov-22", type number}, {"Dec-22", type number}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"ID", "Measures"}, "Attribute", "Value"),
#"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Measures]), "Measures", "Value"),
#"Added Custom" = Table.AddColumn(#"Pivoted Column", "Forecast/Actual ROI", each ([Forecast Recurring Benefits_1]+[Forecast Recurring Benefits_2])/([Forecast Recurring Costs_1]+[Forecast Recurring Costs_2])),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Planned ROI", each ([Planned Recurring Benefits_1]+[Planned Recurring Benefits_2])/([Planned Recurring Costs_1]+[Planned Recurring Costs_2])),
#"Unpivoted Columns1" = Table.UnpivotOtherColumns(#"Added Custom1", {"ID", "Attribute"}, "Attribute.1", "Value"),
#"Pivoted Column1" = Table.Pivot(#"Unpivoted Columns1", List.Distinct(#"Unpivoted Columns1"[Attribute]), "Attribute", "Value"),
#"Reordered Columns" = Table.ReorderColumns(#"Pivoted Column1",{"ID", "Attribute.1", "Jan-22", "Feb-22", "Mar-22", "Apr-22", "May-22", "Jul-22", "Jun-22", "Aug-22", "Sep-22", "Oct-22", "Nov-22", "Dec-22"}),
#"Renamed Columns" = Table.RenameColumns(#"Reordered Columns",{{"Attribute.1", "Measures"}})
in
#"Renamed Columns"
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Dear @v-jianboli-msft !
Your solution worked as a charm, precisely what I needed. Learnt a lot playing with 'Pivot' & 'Un-Pivot' options, this is one extremely powerful feature.
Thanks !
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 39 | |
| 37 | |
| 35 | |
| 34 | |
| 27 |
| User | Count |
|---|---|
| 137 | |
| 97 | |
| 74 | |
| 66 | |
| 65 |