Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started

Reply
MdJ83
Helper II
Helper II

Formatting data from multiple variable rows to one single row

I'm looking at consolidating mutlipe rows into one row, although the number of rows per items is variable. Looking for some advice for either in power query or dax to perform this.

 

Might be easier to explain with an example. Current data looks like this

Supplier No.NameContact TypeContact
222ABCBus000 000 000
222ABVBus123 123 123
222ABCFax000 000 000
222ABCEmail@mail.com
333CDFBus000 000 000 
333CDFEmail@mail.com
444XYZEmail@mail.com

 

Want to transform it into this

Supplier No.NameContact TypeContactContact TypeContactContact TypeContactContact TypeContact
222ABCBus000 000 000Bus123 123 123Fax000 000 000Email@mail.com
333CDFBus000 000 000     Email@mail.com
444XYZ      Email@mail.com

 

1 ACCEPTED SOLUTION
v-yanjiang-msft
Community Support
Community Support

Hi @MdJ83 ,

According to your description, here's my solution. You can copy-paste the code in a blank query to see the details.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIyUtJRcnRyBpJOpcVA0sDAQAGKlWJ1ECrC4CoMjYwVoBhFBcgMt8QKPGaAVLjmJmbmAGkHEK2XnJ8LVmFsbAwUc3Zxw+YOBQwl2A0xMTEBikVERmFXEQsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Supplier No." = _t, Name = _t, #"Contact Type" = _t, Contact = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Supplier No.", Int64.Type}, {"Name", type text}, {"Contact Type", type text}, {"Contact", type text}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Supplier No."}, "Attribute", "Value"),
    #"Pivoted Column" = Table.Pivot(#"Unpivoted Other Columns", List.Distinct(#"Unpivoted Other Columns"[Attribute]), "Attribute", "Value",each Text.Combine(List.Sort(_), ",")),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Pivoted Column", "Name", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Name.1", "Name.2"}),
    #"Replaced Value"=Table.ReplaceValue(#"Split Column by Delimiter",each[Contact Type],each if [Contact Type]="Bus,Email" then "Bus,,Email" else if [Contact Type]="Email" then ",,Email" else [Contact Type], Replacer.ReplaceValue,{"Contact Type"} ),
    #"Split Column by Delimiter1" = Table.SplitColumn(#"Replaced Value", "Contact Type", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Contact Type.1", "Contact Type.2", "Contact Type.3","Contact Type.4"}),
    #"Replaced Value2"=Table.ReplaceValue(#"Split Column by Delimiter1",each[Contact],each if [Contact]="000 000 000 ,@mail.com" then "000 000 000 ,,,@mail.com" else if [Contact]="@mail.com" then ",,,@mail.com" else [Contact], Replacer.ReplaceValue,{"Contact"} ),
    #"Split Column by Delimiter2" = Table.SplitColumn(#"Replaced Value2", "Contact", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Contact.1", "Contact.2", "Contact.3", "Contact.4"}),
    #"Removed Columns" = Table.RemoveColumns(#"Split Column by Delimiter2",{"Name.2"}),
    #"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"Supplier No.", "Name.1", "Contact Type.1", "Contact.1", "Contact Type.2", "Contact.2", "Contact Type.4", "Contact.3", "Contact Type.3", "Contact.4"})
in
    #"Reordered Columns"

Get the correct result:

vyanjiangmsft_0-1685613309176.png

I attach my sample below for your reference.

 

Best regards,

Community Support Team_yanjiang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

View solution in original post

1 REPLY 1
v-yanjiang-msft
Community Support
Community Support

Hi @MdJ83 ,

According to your description, here's my solution. You can copy-paste the code in a blank query to see the details.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIyUtJRcnRyBpJOpcVA0sDAQAGKlWJ1ECrC4CoMjYwVoBhFBcgMt8QKPGaAVLjmJmbmAGkHEK2XnJ8LVmFsbAwUc3Zxw+YOBQwl2A0xMTEBikVERmFXEQsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Supplier No." = _t, Name = _t, #"Contact Type" = _t, Contact = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Supplier No.", Int64.Type}, {"Name", type text}, {"Contact Type", type text}, {"Contact", type text}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Supplier No."}, "Attribute", "Value"),
    #"Pivoted Column" = Table.Pivot(#"Unpivoted Other Columns", List.Distinct(#"Unpivoted Other Columns"[Attribute]), "Attribute", "Value",each Text.Combine(List.Sort(_), ",")),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Pivoted Column", "Name", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Name.1", "Name.2"}),
    #"Replaced Value"=Table.ReplaceValue(#"Split Column by Delimiter",each[Contact Type],each if [Contact Type]="Bus,Email" then "Bus,,Email" else if [Contact Type]="Email" then ",,Email" else [Contact Type], Replacer.ReplaceValue,{"Contact Type"} ),
    #"Split Column by Delimiter1" = Table.SplitColumn(#"Replaced Value", "Contact Type", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Contact Type.1", "Contact Type.2", "Contact Type.3","Contact Type.4"}),
    #"Replaced Value2"=Table.ReplaceValue(#"Split Column by Delimiter1",each[Contact],each if [Contact]="000 000 000 ,@mail.com" then "000 000 000 ,,,@mail.com" else if [Contact]="@mail.com" then ",,,@mail.com" else [Contact], Replacer.ReplaceValue,{"Contact"} ),
    #"Split Column by Delimiter2" = Table.SplitColumn(#"Replaced Value2", "Contact", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Contact.1", "Contact.2", "Contact.3", "Contact.4"}),
    #"Removed Columns" = Table.RemoveColumns(#"Split Column by Delimiter2",{"Name.2"}),
    #"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"Supplier No.", "Name.1", "Contact Type.1", "Contact.1", "Contact Type.2", "Contact.2", "Contact Type.4", "Contact.3", "Contact Type.3", "Contact.4"})
in
    #"Reordered Columns"

Get the correct result:

vyanjiangmsft_0-1685613309176.png

I attach my sample below for your reference.

 

Best regards,

Community Support Team_yanjiang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

Helpful resources

Announcements
Fabcon_Europe_Social_Bogo

Europe’s largest Microsoft Fabric Community Conference

Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.

Power BI Carousel June 2024

Power BI Monthly Update - June 2024

Check out the June 2024 Power BI update to learn about new features.

RTI Forums Carousel3

New forum boards available in Real-Time Intelligence.

Ask questions in Eventhouse and KQL, Eventstream, and Reflex.

Top Solution Authors
Top Kudoed Authors