Table Transformation using power query

Hello Anonymous 

 

this can be achieved by Table.Transpose and splitting columns and pivoting. But what you didn't tell is what happens if your FROM TABLE has two or more rows instead of 1.

Here the solution usinig your data

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjRQ0lEyAhHGIMLEQCk2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ABC_MONTH = _t, ABC_YEAR = _t, XYZ_MONTH = _t, XYZ_YEAR = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ABC_MONTH", Int64.Type}, {"ABC_YEAR", Int64.Type}, {"XYZ_MONTH", Int64.Type}, {"XYZ_YEAR", Int64.Type}}),
    Transpose = Table.FromColumns({Table.ColumnNames(#"Changed Type")} & Table.ToColumns(Table.Transpose(#"Changed Type"))),
    #"Split Column by Delimiter" = Table.SplitColumn(Transpose, "Column1", Splitter.SplitTextByEachDelimiter({"_"}, QuoteStyle.Csv, false), {"Column1.1", "Column1.2"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Column1.1", type text}, {"Column1.2", type text}}),
    #"Pivoted Column" = Table.Pivot(#"Changed Type1", List.Distinct(#"Changed Type1"[Column1.2]), "Column1.2", "Column2", List.Sum),
    #"Renamed Columns" = Table.RenameColumns(#"Pivoted Column",{{"Column1.1", "Name"}})
in
    #"Renamed Columns"

transforms this

into this

 

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

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Have fun

Jimmy