Power Query - Combine values in rows into one single cell CSV

Aldonin

New Member
Joined
Jan 27, 2012
Messages
28
Hi there Gurus.

I have a large data sate in the form below where same login appears multiple time, one for each different location.


LOGINLOCATIONS
PETERLoc1
JOHNLoc1
PETERLoc3
CHARLESLoc2
CHARLESLoc7
JOHNLoc5
PETERLoc9

I need to transform it into something that only has the login once, and aggregates all locations using comma as delimiter, (using power query)
LOGINLOCATIONS
PETERLoc1,Loc3,Loc9
JOHNLoc1,Loc5
CHARLESLoc2,Loc7

I tried merging columns and grouping without success as the login gets repeated after every LocX code.

Any help is much welcome, and... thank you!
 

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Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Grouped Rows" = Table.Group(Source, {"LOGIN"}, {{"Count", each _, type table [LOCATIONS]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each [Count][LOCATIONS]),
    #"Added Custom1" = Table.AddColumn(#"Added Custom", "Custom.1", each List.Accumulate([Custom], "", (state, current) => state & current & "," )),
    #"Added Custom2" = Table.AddColumn(#"Added Custom1", "Custom.2", each Text.Middle([Custom.1],0,Text.Length([Custom.1])-1)),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom2",{"Count", "Custom", "Custom.1"}),
    #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Custom.2", "LOCATIONS"}})
in
    #"Renamed Columns"


Book4
ABCDE
1LOGINLOCATIONSLOGINLOCATIONS
2PETERLoc1PETERLoc1,Loc3,Loc9
3JOHNLoc1JOHNLoc1,Loc5
4PETERLoc3CHARLESLoc2,Loc7
5CHARLESLoc2
6CHARLESLoc7
7JOHNLoc5
8PETERLoc9
Sheet1
 
Upvote 0
Just pointing out that the List.Accumulate step is unnecessary... once you have the list, you can extract it into values:
Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Grouped Rows" = Table.Group(Source, {"LOGIN"}, {{"Count", each _, type table [LOCATIONS]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each [Count][LOCATIONS]),
    #"Extracted Values" = Table.TransformColumns(#"Added Custom", {"Custom", each Text.Combine(List.Transform(_, Text.From), ","), type text}),
    #"Removed Other Columns" = Table.SelectColumns(#"Extracted Values",{"LOGIN", "Custom"})
in
    #"Removed Other Columns"

Though if you want to get really tricky, you can combine the List & Extract into the Grouping:

Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Grouped Rows" = Table.Group(Source, {"LOGIN"}, {{"Locations", each Text.Combine(List.Transform(_[LOCATIONS], Text.From), ",")}})
in
    #"Grouped Rows"
 
Upvote 0
Just pointing out that the List.Accumulate step is unnecessary... once you have the list, you can extract it into values:
Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Grouped Rows" = Table.Group(Source, {"LOGIN"}, {{"Count", each _, type table [LOCATIONS]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each [Count][LOCATIONS]),
    #"Extracted Values" = Table.TransformColumns(#"Added Custom", {"Custom", each Text.Combine(List.Transform(_, Text.From), ","), type text}),
    #"Removed Other Columns" = Table.SelectColumns(#"Extracted Values",{"LOGIN", "Custom"})
in
    #"Removed Other Columns"

Though if you want to get really tricky, you can combine the List & Extract into the Grouping:

Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Grouped Rows" = Table.Group(Source, {"LOGIN"}, {{"Locations", each Text.Combine(List.Transform(_[LOCATIONS], Text.From), ",")}})
in
    #"Grouped Rows"
Thanks - that's a much better way (especially your second one)
 
Upvote 0
or almost the same, without the List.Transform.
Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    Group = Table.Group(Source, {"LOGIN"}, {{"Locations", each Text.Combine([LOCATIONS],","), type nullable text}})
in
    Group
 
Upvote 0
Yup - I got a little ahead of myself when I combined the steps ;). Nice catch!
 
Upvote 0
If it is a large table, maybe sort it, add index, then use the Fourth parameter in the grouping Group.KindLocal to speed things up. I did not test, but it could be beneficial.
 
Upvote 0

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