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FaizShaikh's avatar
FaizShaikh
Regular Visitor
2 years ago
Solved

Grouping Columns

Hi, It might be a stupid question. I tried but not able to find the perfect result.   I am trying to convert multiple columns into group rows in power query.   Below are the examples.   Data w...
Need Help
  • m_dekorte's avatar
    m_dekorte
    2 years ago

    FaizShaikh sure there is, give this a go.

     

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("XYq7CoAwDAB/RTL3J0QRERRXKR1iyVDsA5IW8e+Nq9Mdx1kLCyYSMLDR3R2FL9WhxJbO9tUpZMye1HYuvjElyhWcsTAj86N9JUHFiDGi/D4Dfcb41OAFnHsB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, #"Old City" = _t, #"New City" = _t, #"Old Department" = _t, #"New Department" = _t]),
    UnpivotOthers = Table.UnpivotOtherColumns(Source, {"Name"}, "Attribute", "Value"),
    SplitByDelimiter = Table.SplitColumn(UnpivotOthers, "Attribute", Splitter.SplitTextByEachDelimiter({" "}, QuoteStyle.Csv, false), {"Attribute.1", "Attribute.2"}),
    MergeColumns = Table.CombineColumns(SplitByDelimiter,{"Name", "Attribute.2"},Combiner.CombineTextByDelimiter("|", QuoteStyle.None),"Merged"),
    PivotColumn = Table.Pivot(MergeColumns, List.Distinct(MergeColumns[Attribute.1]), "Attribute.1", "Value"),
    SplitColumn = Table.SplitColumn(PivotColumn, "Merged", Splitter.SplitTextByDelimiter("|", QuoteStyle.Csv), {"City", "Change Type"})
in
    SplitColumn

     

    I hope this is helpful

  • dufoq3's avatar
    dufoq3
    2 years ago

    Hi FJS, you should try by yourself but one different approach without merging and grouping here:

     

    Result

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("XYq7CoAwDAB/RTL3J0QRERRXKR1iyVDsA5IW8e+Nq9Mdx1kLCyYSMLDR3R2FL9WhxJbO9tUpZMye1HYuvjElyhWcsTAj86N9JUHFiDGi/D4Dfcb41OAFnHsB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, #"Old City" = _t, #"New City" = _t, #"Old Department" = _t, #"New Department" = _t]),
    UnpivotedOtherColumns = Table.UnpivotOtherColumns(Source, {"Name"}, "Change type", "Value"),
    Ad_OldNew = Table.AddColumn(UnpivotedOtherColumns, "OldNew", each if Text.StartsWith([Change type], "old", Comparer.OrdinalIgnoreCase) then "Old Value" else "New Value", type text),
    ExtractedTextAfterDelimiter = Table.TransformColumns(Ad_OldNew, {{"Change type", each Text.AfterDelimiter(_, " "), type text}}),
    PivotedColumn = Table.Pivot(ExtractedTextAfterDelimiter, List.Distinct(ExtractedTextAfterDelimiter[OldNew]), "OldNew", "Value")
in
    PivotedColumn
m_dekorte's avatar
m_dekorte
Resident Rockstar
2 years ago

Hi FaizShaikh,

 

There are many ways to achieve this, here's a mostly UI approach.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("XYq7CoAwDAB/RTL3J0QRERRXKR1iyVDsA5IW8e+Nq9Mdx1kLCyYSMLDR3R2FL9WhxJbO9tUpZMye1HYuvjElyhWcsTAj86N9JUHFiDGi/D4Dfcb41OAFnHsB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, #"Old City" = _t, #"New City" = _t, #"Old Department" = _t, #"New Department" = _t]),
    UnpivotOthers = Table.UnpivotOtherColumns(Source, {"Name"}, "Attribute", "Value"),
    TextAfterDelimiter = Table.TransformColumns(UnpivotOthers, {{"Attribute", each Text.AfterDelimiter(_, " "), type text}}),
    GroupRows = Table.Group(TextAfterDelimiter, {"Name", "Attribute"}, {{"t", each Record.FromList( _[Value], {"Old Value", "New Value"}) }}),
    ExpandFields = Table.ExpandRecordColumn(GroupRows, "t", {"Old Value", "New Value"}, {"Old Value", "New Value"})
in
    ExpandFields

 

I hope this is helpful