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

Calling all Data Engineers! Fabric Data Engineer (Exam DP-700) live sessions are back! Starting October 16th. Sign up.

Reply
jsparrow88
New Member

from 1 columns create others colums every 34 rows

Hello,

i have only one column with a lot of rows, i would like create 1 column every 34 rows of the first column with power query.... after that i have to convert all columns, i have just created, in rows, so at the end the result will be: every row will have 34 columns.

 

thank you in advance for your help

1 ACCEPTED SOLUTION
AlB
Community Champion
Community Champion

Hi @jsparrow88 

I am not sure what you would want this for but here's a way of doing it. Place the following M code in a blank query to see the steps. The two last steps are the relevant ones

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("PdbLceNAEARRX3TeA6p6vrYw5L8bG0Jl8wKdmCGJ9Qbz+fzo5/ff58fvs97neJ/zfa73ud/neZ/3ferJj3xa+bjyeSWgFJSE0lAiSsWpmN8hFafiVJyKU3EqTsWpVCqVSvGnpFKpVCqVSqVSqVQqI5WRykhl8B9JZaQyUhmpjFRGKjOVmcpMZaYy+cemMlOZqcxUZiorlZXKSmWlslJZfD+prFRWKiuVncpOZaeyU9mp7FQ2X3MqO5WdyknlpHJSOamcVE4qJ5XDWlI5qdxUbio3lZvKTeWmclO5qVxG16tjdg+7exjew/IepvewvYfxPazvYX4Pve+M6fWQe8k95d5yj7nX3HNmz2LQcrugx6bFqMWqxazFrsWwxbLFtMW2VQ2NHvMW+xYDFwsXExcbFyMXKxcz12i59Fi6mLrYuhi7WLuYu9i7GLxYvGYfBfQYvVi9mL3YvRi+WL6Yvti+GL9Wny302L8AIAQIAsKAQCAUCAbCgXYfVvSgICwIDEKD4CA8CBBChCCh06cfPVQIFsKFgCFkCBrChsAhdOj2cdrnKQcqPowP48P4MD6MD+PD+DA+rD6g6eHD+DA+jA/jw/gwPtznfR/43xOfXp/5fej3qd/Hfp/7ffDjw/gwPlz9CqGHD+PD+DA+jA/jw/gwPowPj34n0cOH8WF8GB/Gh/FhfBgfxodnv+To4cP4MD6MD+PD+DA+jA/jw6vfmvTwYXwYH8aH8WF8GB/Gh/Hh3a9hevgwPowP48P4MD6MD+PD+PDp9zo9fBgfxofxYXwYH8aH8WF8+PZFoW8KXBXwUfgofBQ+Ch+Fj8JH4aPwUeqrBz18FD4KH4WPwkfho/BR+Ch8lPsuQw8fhY/CR+Gj8FH4qL4Z9dWo70bfyxG9vh71/agvSH1D6isSPurPx+9/", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", Int64.Type}}),

    split_= List.Split(#"Changed Type"[Column1], 34),
    res_ = Table.Transpose(Table.FromColumns(split_))
in
    res_

 

SU18_powerbi_badge

Please accept the solution when done and consider giving a thumbs up if posts are helpful. 

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

 

View solution in original post

3 REPLIES 3
AlB
Community Champion
Community Champion

@jsparrow88 

What has this got to do with the 34 rows?

Create a new query and substitute the code it has by the code below. See it all at work in the attached file.

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlSK1YlWCkgszQEzjE3AVFJ+aU5qWWJRikJxSWpqiYKRqQ5Y3Ce/WMExLz01J7UYzDcCk76JRckQrgWUX5mXk5gH0lwE0m1sYAkW90stV4jML8qG2AQ1sDQTYpQJRE1Yal5mcipMp5EpWDA4MU/BJTM1PV8pNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}}),

    split_= List.Split(#"Changed Type"[Column1], 5),
    res_ = Table.Transpose(Table.FromColumns(split_))
in
    res_

 

 

SU18_powerbi_badge

Please accept the solution when done and consider giving a thumbs up if posts are helpful. 

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

 

AlB
Community Champion
Community Champion

Hi @jsparrow88 

I am not sure what you would want this for but here's a way of doing it. Place the following M code in a blank query to see the steps. The two last steps are the relevant ones

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", Int64.Type}}),

    split_= List.Split(#"Changed Type"[Column1], 34),
    res_ = Table.Transpose(Table.FromColumns(split_))
in
    res_

 

SU18_powerbi_badge

Please accept the solution when done and consider giving a thumbs up if posts are helpful. 

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

 

Hi super user,

thank you for your response, ill try to explain better what i want to do:

from 1 column like this:

1

Paul

34

boulevard steet 25,

Los Angeles

2

Marc

28

Maynland street 309

New York

3

Louis

49

Venice street 25

San Diego

i want to reach this result:

column A column B column C         column D                  column E

      1            Paul         34           boulevard steet 25,      Los Angeles

      2           Marc        28           Maynland street 309      New York

      3          Louise       49               Venice street 25          San Diego

pls i m a novice, specifie where i have to inser code step by step.

thank you again for your help

Helpful resources

Announcements
FabCon Global Hackathon Carousel

FabCon Global Hackathon

Join the Fabric FabCon Global Hackathon—running virtually through Nov 3. Open to all skill levels. $10,000 in prizes!

October Power BI Update Carousel

Power BI Monthly Update - October 2025

Check out the October 2025 Power BI update to learn about new features.

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.

Top Kudoed Authors