Pivot Column, Multiple Row to Column.

[vazmor]

Hello.

Currently I have a table like the one in the image, which has many rows with the title next to the value, I need to pass it to a table like the one in the image faster, because the original file has many columns. I know it can be done with Pivot Column, but it takes longer. I hope your help. Thank you.

[Jimmy801 · Accepted solution]

Hello @vazmor 

check out this solution. This code fetches the rawdata of every second column with offset 1 and uses every second column the first entry as column name.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIEYicgNgFiZyA2V4rVgcgYQWVMoTIWcBljqIwZVMZSKTYWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", Int64.Type}, {"Column3", type text}, {"Column4", Int64.Type}, {"Column5", type text}, {"Column6", Int64.Type}}),
    CreateData = List.Transform
    (
        List.Alternate(Table.ColumnNames(#"Changed Type"), 1,1),
        (columnname)=> Table.Column(#"Changed Type", columnname)
    ),
    CreateColumnnames = List.Transform
    (
        List.Alternate(Table.ColumnNames(#"Changed Type"), 1,1,1),
        (header)=> Table.Column(#"Changed Type", header){0}
    ),
    CreateFinalTable = Table.FromColumns
    (
        CreateData,
        CreateColumnnames
    )
in
    CreateFinalTable

Copy paste this code to the advanced editor in a new blank query to see how the solution works.

If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too

Have fun

Jimmy

[vazmor]

Thanks, Excelent Solution

[edhans]

Can you please post some data @vazmor per links below - from that image it looks like all you've done is removed some columns, renamed Column4 to Fecha and change the date format to show the integer vs date.

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