Forum Discussion
Anonymous
2 years agoNot applicable
Transpose multiple rows in to multiple columns
Source : Sql server. For a Source table name , Target Table name , Key combination , Column value (Comparing the values against the source and target values being stored in this ) , Status . ...
- 2 years ago
Hi Anonymous ,
How about this:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUQoOcgaSIe4hCkDK0MgYSFbHKBUXJceHVBbEKFnFKDnFKOnEKJWklyCL1ALVBSQWFyvF6hAyJzk/JwmszQVuEFwIapJbYmYOcSYlozkJWQjhplgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, #"SRC TABLE" = _t, #"TGT TABLE" = _t, KEY = _t, #"column value" = _t, Status = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"SRC TABLE", type text}, {"TGT TABLE", type text}, {"KEY", Int64.Type}, {"column value", type text}, {"Status", type text}}), #"Grouped Rows" = Table.Group(#"Changed Type", {"ID", "SRC TABLE", "TGT TABLE", "KEY"}, {{"Grouping", each SubGroup(_), type table [column value=nullable text, Status=nullable text]}}), SubGroup = (Table as table) as table => let #"Removed Columns 1" = Table.RemoveColumns(#"Table",{"ID", "SRC TABLE", "TGT TABLE", "KEY"}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Removed Columns 1", {}, "Attribute", "column"), #"Removed Columns 2" = Table.RemoveColumns(#"Unpivoted Columns",{"Attribute"}), #"Transposed Table" = Table.Transpose(#"Removed Columns 2") in #"Transposed Table", ColNames = Table.ColumnNames ( Table.Combine ( #"Grouped Rows"[Grouping] ) ), Custom = Table.ExpandTableColumn ( #"Grouped Rows", "Grouping", ColNames ) in CustomLet me know 🙂
/Tom
https://www.tackytech.blog/
https://www.instagram.com/tackytechtom/
tackytechtom
2 years agoMost Valuable Professional
Hi Anonymous ,
I do not think this is possible. You always need to provide a visual with certain columns. If the number of columns is changing you need to add or remove those manually from the visual.
I suggest to think about your data design once more 🙂
Do not forget to mark the answer as the solution for the specific query you had here. Thanks!
/Tom
https://www.tackytech.blog/
https://www.instagram.com/tackytechtom/
Anonymous
2 years agoNot applicable
Appreaicte your insight on this tackytechtom . Thanks again !