Table Transformation using power query

[Anonymous]

Hi

I would like to transform the FROM TABLE data TO TABLE one below using power query/ (transformation). Kindly help

[Anonymous]

Thanks for your Solution. It works perfectly.  My table will have only one row containing sum of  values...

One query is when i do Transformation-> transpose, then only Values are listed in a column . column names column  is lost why ? 

[Jimmy801]

Hello @Anonymous 

good question... we would need to ask the devoloper 🙂

this is the reason why I used Table.ToColumns and Table.FromColumns to add the column names again

BR

Jimmy

[Jimmy801 · Accepted solution]

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