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

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
anshpalash
Helper II
Helper II

Table Transformation

Hi all,

 

I have a table with a format similar to:

Day1TypeAutomobile
Sale 24Cost12
Location TXMake XYZ

 

I want to convert it to a format:

DaySaleLocationTypeCostMake
124TXAutomobile12XYZ

 

 

Any guidance is much appreciated! Thank you 

1 ACCEPTED SOLUTION
parry2k
Super User
Super User

@anshpalash @amitchandak  is on right track but his solution will not work once you have more than one set of data. To overcome this, we need to group data together and I assumed there is going to be 3 rows for each record set.

 

You can tweak the PQ as you see fit, in PQ, start a new blank query, click advanced editor and paste the below M code

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WckmsVNJRMgTikMqCVCDlWFqSn5uflJmTqhSrE60UnJiTqgAUNjIBEs75xSUg1UZgKZ/85MSSzPw8kHRIBJDwTcwGq42IjAIrgJptgDDcObEIzVQDZGMNsJgbjGSwo5OzUmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Col1 = _t, Col2 = _t, Col3 = _t, Col4 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Col1", type text}, {"Col2", type text}, {"Col3", type text}, {"Col4", type text}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type),
    #"Added Custom" = Table.AddColumn(#"Added Index", "Group", each if Number.Mod([Index],3)=0 then [Index]/3 else null, Int64.Type),
    #"Filled Up" = Table.FillUp(#"Added Custom",{"Group"}),
    #"Removed Columns" = Table.RemoveColumns(#"Filled Up",{"Index"}),
    #"Pivoted Column" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[Col1]), "Col1", "Col2"),
    #"Pivoted Column1" = Table.Pivot(#"Pivoted Column", List.Distinct(#"Pivoted Column"[Col3]), "Col3", "Col4"),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Pivoted Column1", {"Group"}, "Attribute", "Value"),
    #"Pivoted Column2" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Attribute]), "Attribute", "Value"),
    #"Removed Columns1" = Table.RemoveColumns(#"Pivoted Column2",{"Group"})
in
    #"Removed Columns1"

 

Follow us on LinkedIn

 

Check my latest blog post The Power of Using Calculation Groups with Inactive Relationships (Part 1) (perytus.com) I would  Kudos if my solution helped. 👉 If you can spend time posting the question, you can also make efforts to give Kudos to whoever helped to solve your problem. It is a token of appreciation!

 

Visit us at https://perytus.com, your one-stop-shop for Power BI-related projects/training/consultancy.

 



Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!

Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo

If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤


Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.

View solution in original post

4 REPLIES 4
parry2k
Super User
Super User

@anshpalash @amitchandak  is on right track but his solution will not work once you have more than one set of data. To overcome this, we need to group data together and I assumed there is going to be 3 rows for each record set.

 

You can tweak the PQ as you see fit, in PQ, start a new blank query, click advanced editor and paste the below M code

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WckmsVNJRMgTikMqCVCDlWFqSn5uflJmTqhSrE60UnJiTqgAUNjIBEs75xSUg1UZgKZ/85MSSzPw8kHRIBJDwTcwGq42IjAIrgJptgDDcObEIzVQDZGMNsJgbjGSwo5OzUmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Col1 = _t, Col2 = _t, Col3 = _t, Col4 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Col1", type text}, {"Col2", type text}, {"Col3", type text}, {"Col4", type text}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type),
    #"Added Custom" = Table.AddColumn(#"Added Index", "Group", each if Number.Mod([Index],3)=0 then [Index]/3 else null, Int64.Type),
    #"Filled Up" = Table.FillUp(#"Added Custom",{"Group"}),
    #"Removed Columns" = Table.RemoveColumns(#"Filled Up",{"Index"}),
    #"Pivoted Column" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[Col1]), "Col1", "Col2"),
    #"Pivoted Column1" = Table.Pivot(#"Pivoted Column", List.Distinct(#"Pivoted Column"[Col3]), "Col3", "Col4"),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Pivoted Column1", {"Group"}, "Attribute", "Value"),
    #"Pivoted Column2" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Attribute]), "Attribute", "Value"),
    #"Removed Columns1" = Table.RemoveColumns(#"Pivoted Column2",{"Group"})
in
    #"Removed Columns1"

 

Follow us on LinkedIn

 

Check my latest blog post The Power of Using Calculation Groups with Inactive Relationships (Part 1) (perytus.com) I would  Kudos if my solution helped. 👉 If you can spend time posting the question, you can also make efforts to give Kudos to whoever helped to solve your problem. It is a token of appreciation!

 

Visit us at https://perytus.com, your one-stop-shop for Power BI-related projects/training/consultancy.

 



Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!

Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo

If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤


Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.

Thank you so much!

amitchandak
Super User
Super User

@anshpalash , file after signature if needed

 

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube
amitchandak
Super User
Super User

@anshpalash , Try code

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCk7MSVVQ0lEyMgESzvnFJUDK0EgpVidaySc/ObEkMz8PJB0SASR8E7PBaiMio5RiYwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Day = _t, #"1" = _t, Type = _t, Automobile = _t]),
    #"Demoted Headers" = Table.DemoteHeaders(Source),
    #"Pivoted Column" = Table.Pivot(#"Demoted Headers", List.Distinct(#"Demoted Headers"[Column1]), "Column1", "Column2", List.Max),
    #"Pivoted Column1" = Table.Pivot(#"Pivoted Column", List.Distinct(#"Pivoted Column"[Column3]), "Column3", "Column4", List.Max),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Pivoted Column1", {}, "Attribute", "Value"),
    #"Pivoted Column2" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Attribute]), "Attribute", "Value", List.Max)
in
    #"Pivoted Column2"

 

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!

December 2025 Power BI Update Carousel

Power BI Monthly Update - December 2025

Check out the December 2025 Power BI Holiday Recap!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.