cancel
Showing results for 
Search instead for 
Did you mean: 
Reply
kallevuorinen
Regular Visitor

How to split a list into table (each nth row and continue in next column)

I have a use case in which I'm getting the data in rather unformatted way. However it can be tackled by understanding the structure. Kind of a "you just need to know" way, not ideal I know. 

But this has brought me a challenge that I have a list of data i.e.

 

12312,

1231235,

540945,

4506,

2349,

2349,

13409,

3490834,

1349,

3490835,

309034,

2394,

110,

124349,

...

What I need to achieve with this list is to create a table out of it and as an example the above example needs to be formatted to table in a way that first 3 values should be 1st row, then the values from 4-6 need to be second row and so on.

 

Result should be:

12312,1231235,540945

4506,2349,2349

13409,3490834,1349

3490835,309034,2394

110,124349

1 ACCEPTED SOLUTION
AlB
Super User III
Super User III

Hi @kallevuorinen 

Use List.Split. Place this code in a blank query to see the steps from your initial example:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc3BDcAwCAPAXfLuw2CnKrNE2X+NRoRI7e9kDIzRzGne5lViT3chtKmOO+FU/GFctdRK8FAn/Yb7ChGouTOqaKjHypX5Ag==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Col1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Col1", Int64.Type}}),

    list_ = List.Split(#"Changed Type"[Col1],3),
    #"Converted to Table" = Table.FromList(list_, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
    #"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), ", "), type text})
in
    #"Extracted Values"

Please mark the question solved when done and consider giving kudos if posts are helpful.

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

Cheers 

SU18_powerbi_badge

View solution in original post

2 REPLIES 2
AlB
Super User III
Super User III

Hi @kallevuorinen 

Use List.Split. Place this code in a blank query to see the steps from your initial example:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc3BDcAwCAPAXfLuw2CnKrNE2X+NRoRI7e9kDIzRzGne5lViT3chtKmOO+FU/GFctdRK8FAn/Yb7ChGouTOqaKjHypX5Ag==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Col1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Col1", Int64.Type}}),

    list_ = List.Split(#"Changed Type"[Col1],3),
    #"Converted to Table" = Table.FromList(list_, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
    #"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), ", "), type text})
in
    #"Extracted Values"

Please mark the question solved when done and consider giving kudos if posts are helpful.

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

Cheers 

SU18_powerbi_badge

View solution in original post

Great that actually works! At least with that I can do the necessary tranformations - thanks!

Helpful resources

Announcements
PBI User Groups

Welcome to the User Group Public Preview

Check out new user group experience and if you are a leader please create your group

March Update

Check it Out!

Click here to read more about the March 2021 Updates!

secondImage

The largest Power BI virtual conference

100+ sessions, 100+ speakers, Product managers, MVPs, and experts. All about Power BI. Attend online or watch the recordings.

secondImage

Experience what’s next for Power BI

See the latest Power BI innovations, updates, and demos from the Microsoft Business Applications Launch Event.

Top Kudoed Authors