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FaizShaikh
Regular Visitor

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 which I have (its a sample I have lot of columns after new department) :

NameOld CityNew CityOld Department

New Department

JamesNew YorkColumbusFinanceProcurement
HarryMesaDallasProcurementAnalytics

 

Data (Result) which I want in power query:

NameChange typeOld ValueNew Value
JamesCityNew YorkColumbus
JamesDepartmentFinanceProcurement
HarryCityMesaDallas
HarryDepartmentProcurementAnalytics

 

Attaching table's snippet for more clarity.

FaizShaikh_0-1710357815996.png

 

 

Thanks in Advance for your help!!

 

2 ACCEPTED SOLUTIONS

@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

View solution in original post

dufoq3
Super User
Super User

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

 

Result

dufoq3_0-1710684408877.png

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

Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

View solution in original post

6 REPLIES 6
dufoq3
Super User
Super User

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

 

Result

dufoq3_0-1710684408877.png

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

Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

m_dekorte
Super User
Super User

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

Hi @m_dekorte ,

 

Thanks for the reply.

 

If it is possible can you show me in other ways.

 

It would be best if you can show in the way which have no coding in it.

As my client might also need to do this in future by himself.

@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

No Code.

 

Solution without Mquery or any other code please.

@FaizShaikh,

 

Nothing happens by itself. What are you proposing?

 

Understand that this M code was generated through interaction with the User Interface, something you should be able to explain to a client. Basically, it boils down to a pattern of pushing buttons, nothing more...

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