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bbbt123 Frequent Visitor
Frequent Visitor

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  |
+----+------+

Required output:

+----+---------------------+
| Id |        abc          |
+----+---------------------+ 
|  1 | aaa,bbb,ccc,ddd,eee |
+----+---------------------+

How can I achieve this in power query?

 

Thank you in advance

1 ACCEPTED SOLUTION

Accepted Solutions
edhans Super Contributor
Super Contributor

Re: data transformation in power query

  1. Group your data by the first column, and for the aggregation use the ALL ROWS aggregation and call it "AllRows"
  2. Add a custom column, call it Names, and use Table.Column([AllRows], "Name") as the formula.
  3. Expand the new Names column but as Values (not rows) and select the comma as your delimiter.
  4. Select the ID and Names column and remove other columns.

 

2020-01-14 08_43_14-Table1 - Power Query Editor.png

 

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"

 

workbook is here.

 

View solution in original post

3 REPLIES 3
edhans Super Contributor
Super Contributor

Re: data transformation in power query

  1. Group your data by the first column, and for the aggregation use the ALL ROWS aggregation and call it "AllRows"
  2. Add a custom column, call it Names, and use Table.Column([AllRows], "Name") as the formula.
  3. Expand the new Names column but as Values (not rows) and select the comma as your delimiter.
  4. Select the ID and Names column and remove other columns.

 

2020-01-14 08_43_14-Table1 - Power Query Editor.png

 

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"

 

workbook is here.

 

View solution in original post

Jimmy801 New Contributor
New Contributor

Re: data transformation in power query

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.

If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too

Have fun

Jimmy

bbbt123 Frequent Visitor
Frequent Visitor

Re: data transformation in power query

Thank you 😄 

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