Forum Discussion
Make certain rows into headers
jimmyfromus , StefanoGrimaldi , as long as each group of records starts with ID like this, this solution applies; order and presence of other fields (number, year, rank ...) make no difference.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WykxR0lEyNDRUitWJVsorzU1KLQIKGJsYm4BFKlMTQXwjAwNzML8oMS8bxDcG84qTM/Lzc0AGgLmleZkKhiCeCZxrBOIagLlgm4yMjPCZa2GOaq4pqknGBqjONLcwN7dAsdoIYZWxsTFNvGBigj1oSHJkLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [data = _t, Numbers = _t]), Rearrange = Table.Combine(List.Transform(Table.Group(Source, "data", {{"grouped", each _}}, GroupKind.Local, (s,c)=>Number.From(c="id"))[grouped], each Table.PromoteHeaders(Table.Transpose(_)))) in Rearrange
Hi, jimmyfromus , you might want to try the following codes,
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fc07CoAwEEXRrcjUFvmMTPYSUvgDgxpBSeHuzYwgpLE8r3jXe4gTtIAKQush5X2Yz2KLFmW5555tlCLx2aeVbUXXuBzHVqyFOcVGs/CjYb7nEirHdYkckftLOapTHVYtU6VsSYUH", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [data = _t, Numbers = _t]),
#"All Columns" = Table.ToColumns(Source),
#"New Table" = Table.PromoteHeaders(Table.Transpose(Table.FromColumns({List.Skip(#"All Columns"{0},7)} & List.Split(#"All Columns"{1}, 7))), [PromoteAllScalars=true])
in
#"New Table"or
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WykxR0lEyMVCK1YlWyivNTUotAvKNTYxNwCKVqYkgvpGBgTmYX5SYlw3iG4N5xckZ+fk5QL4hmFual6lgCOKZwLlGIC7EcLBFQIPxmWthjmquKapJxmjONLcwN7dAsdpIKTYWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [data = _t, Numbers = _t]),
Custom1 = Table.Combine(List.Transform(Table.Split(Source,7), each Table.PromoteHeaders(Table.Transpose(_),[PromoteAllScalars=true])))
in
Custom1
here's another solution, which is only a matter of several clicks on UI,
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fc07CoAwEEXRrcjUFvmMTPYSUvgDgxpBSeHuzYwgpLE8r3jXe4gTtIAKQush5X2Yz2KLFmW5555tlCLx2aeVbUXXuBzHVqyFOcVGs/CjYb7nEirHdYkckftLOapTHVYtU6VsSYUH", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [data = _t, Numbers = _t]),
#"Added Index" = Table.AddIndexColumn(Source, "Index", 0, 1),
#"Integer-Divided Column" = Table.TransformColumns(#"Added Index", {{"Index", each Number.IntegerDivide(_, 7), Int64.Type}}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Integer-Divided Column", {{"Index", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Integer-Divided Column", {{"Index", type text}}, "en-US")[Index]), "Index", "Numbers"),
#"Transposed Table" = Table.Transpose(#"Pivoted Column"),
#"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table", [PromoteAllScalars=true])
in
#"Promoted Headers"
All solutions achieve the same result.
but that would work only if the list its in cronological order no? if the second Id was the one that dhould be as second row it wont, unless you assume its allways in cronological order as it was inputed the data?
StefanoGrimaldi , better to learn more and to comment less
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WykxR0lEyMVCK1YlWyivNTUotAvKNTYxNwCKVqYkgvpGBgTmYX5SYlw3iG4N5xckZ+fk5QL4hmFual6lgCOKZwLlGIC7EcLBFQIPxmWthjmquKapJxmjONLcwN7dAsdpIKTYWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [data = _t, Numbers = _t]), Custom1 = Table.Combine(List.Transform(Table.Split(Source,7), each Table.PromoteHeaders(Table.Transpose(_),[PromoteAllScalars=true]))) in Custom1I asked because I see your solution does work, but work under one scenario, I asked will it work in the scenario I put in? cause if the case if the data isnt stored in cronological order ifor each item on the file for example that code wont know how to assign to each row each value, or will it and how? would be learning more if you can answer that question 🙂 as you can see the guy that posted the topic its saying about that same topic of the cronological order of the data and isnt right.