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data transformation in power query
Hi, I need to transform data as per example below: Table is: +----+------+
| Id | Name |
+----+------+
| 1 | aaa |
| 1 | bbb |
| 1 | ccc |
| 1 | ddd |
| 1 | eee |
+----+------+ R...
- Group your data by the first column, and for the aggregation use the ALL ROWS aggregation and call it "AllRows"
- Add a custom column, call it Names, and use Table.Column([AllRows], "Name") as the formula.
- Expand the new Names column but as Values (not rows) and select the comma as your delimiter.
- Select the ID and Names column and remove other columns.
Full M query (my data came from an Excel table which explains the source)
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content], #"Changed Type" = Table.TransformColumnTypes(Source,{{"Id", Int64.Type}, {"Name", type text}}), #"Grouped Rows" = Table.Group(#"Changed Type", {"Id"}, {{"AllRows", each _, type table [Id=number, Name=text]}}), #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Names", each Table.Column([AllRows], "Name")), #"Extracted Values" = Table.TransformColumns(#"Added Custom", {"Names", each Text.Combine(List.Transform(_, Text.From), ","), type text}), #"Removed Other Columns" = Table.SelectColumns(#"Extracted Values",{"Id", "Names"}) in #"Removed Other Columns"
Hello bbbt123
didn't see that edhans did already answer. As i've put down already a solution, i will post it. It uses a little leaner way.
let
Source = #table
(
{"ID","Name"},
{
{"1","aaa"}, {"1","bbb"}, {"1","ccc"}, {"1","ddd"}, {"1","eee"}
}
),
Group = Table.Group(Source, {"ID"}, {{"Combine", each Text.Combine(_[Name], ", "), type text}})
in
Group
Copy paste this code to the advanced editor in a new blank query to see how the solution works. If this solution fits your need, copy and past a part of it and implement it in your query.
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Kudoes are nice too
Have fun
Jimmy