Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Join the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now

Reply
MarcoL
New Member

Transpose + Unpivot colums

Hi All,

i'am a newbie on Power Query and i did not found any similar question

i would like to convert the first table into second table.

 

PowerQuery transpose.PNG

 

Do you think this is possible with Power Query ?

Br

MarcoL

1 ACCEPTED SOLUTION
Vijay_A_Verma
Most Valuable Professional
Most Valuable Professional

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test (later on when you use the query on your dataset, you will have to change the source appropriately. If you have columns other than these, then delete Changed type step and do a Changed type for complete table from UI again)

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("VYy7DcAgEMV2uZqG3wAJ+a+A2H+N+PQKRGHJbty7tWjBNog2ApnQHZIyow2ysqAHFGVFT6hKX13r6l5Xz0xfvfPsq0+r8QM=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Custom = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Custom", Int64.Type}}),
    #"Removed Columns" = Table.RemoveColumns(#"Changed Type",{"Custom"}),
    #"Added Index" = Table.AddIndexColumn(#"Removed Columns", "Index", 1, 1, Int64.Type),
    #"Divided Column" = Table.TransformColumns(#"Added Index", {{"Index", each Number.RoundUp(_ / 5,0), type number}}),
    #"Pivoted Column" = Table.Pivot(#"Divided Column", List.Distinct(#"Divided Column"[Column1]), "Column1", "Column2"),
    #"Removed Columns1" = Table.RemoveColumns(#"Pivoted Column",{"Index"})
in
    #"Removed Columns1"

View solution in original post

2 REPLIES 2
Vijay_A_Verma
Most Valuable Professional
Most Valuable Professional

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test (later on when you use the query on your dataset, you will have to change the source appropriately. If you have columns other than these, then delete Changed type step and do a Changed type for complete table from UI again)

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("VYy7DcAgEMV2uZqG3wAJ+a+A2H+N+PQKRGHJbty7tWjBNog2ApnQHZIyow2ysqAHFGVFT6hKX13r6l5Xz0xfvfPsq0+r8QM=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Custom = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Custom", Int64.Type}}),
    #"Removed Columns" = Table.RemoveColumns(#"Changed Type",{"Custom"}),
    #"Added Index" = Table.AddIndexColumn(#"Removed Columns", "Index", 1, 1, Int64.Type),
    #"Divided Column" = Table.TransformColumns(#"Added Index", {{"Index", each Number.RoundUp(_ / 5,0), type number}}),
    #"Pivoted Column" = Table.Pivot(#"Divided Column", List.Distinct(#"Divided Column"[Column1]), "Column1", "Column2"),
    #"Removed Columns1" = Table.RemoveColumns(#"Pivoted Column",{"Index"})
in
    #"Removed Columns1"

Thank you very much @Vijay_A_Verma 

Your solution is working well after having done some little adaptation.

Br

MarcoL

Helpful resources

Announcements
April Power BI Update Carousel

Power BI Monthly Update - April 2026

Check out the April 2026 Power BI update to learn about new features.

New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.

FabCon and SQLCon Highlights Carousel

FabCon &SQLCon Highlights

Experience the highlights from FabCon & SQLCon, available live and on-demand starting April 14th.