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Anonymous
Not applicable

Is this possible???

Hello community:
Can you help me with the following?
I have a table with 2 columns (Order ID and Product), but as you can see 2 or more different products they can share the same Order ID:

Order ID

Product

176560

Google Phone

176560

Wired Headphones

176574

Google Phone

176574

USB-C Charging Cable

176553

Lightning Charging Cable

176553

Bose SoundSport Headphones

176553

Apple Airpods Headphones

 

I need to concatenate the products in the same OrderID as the following table:

Order ID

Product

176560

Google Phone - Wired Headphones

176574

Google Phone - USB-C Charging Cable

176553

Lightning Charging Cable - Bose SoundSport Headphones -Apple Airpods Headphones

 

How can I do that?

 

Thank you so much

1 ACCEPTED SOLUTION
edhans
Super User
Super User

Hi @Anonymous - see the following M code. It turns this:

edhans_0-1596392959109.png

into this:

 

edhans_0-1596393139916.png

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQ3MzUzUNJRcs/PT89JVQjIyM9LVYrVQZIJzyxKTVHwSE1MKQBJFsNlzU1w6QPLhAY76TorOGckFqVn5qUrOCcm5SBUmBoDVfhkpmeU5IEl8ahyyi9OVQjOL81LCS7ILyrB5hKwOseCAqBDHDOLCvJTilFUxQIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Order ID" = _t, Product = _t]),
    #"Grouped Rows" = 
        Table.Group(
            Source, 
            {"Order ID"}, 
            {
                {"Products", each _[Product] }
            }
        ),
    #"Extracted Values" = Table.TransformColumns(#"Grouped Rows", {"Products", each Text.Combine(List.Transform(_, Text.From), " - "), type text})
in
    #"Extracted Values"

 

The key is in the Group By statement, I am grouping by ID, then I create a list with the each _[Product] statement.

Then I simply expand that to values through the UI and type in the " - " delimiter.

edhans_2-1596393103218.png

 

1) In Power Query, select New Source, then Blank Query
2) On the Home ribbon, select "Advanced Editor" button
3) Remove everything you see, then paste the M code I've given you in that box.
4) Press Done
5) See this article if you need help using this M code in your model.



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting

View solution in original post

3 REPLIES 3
edhans
Super User
Super User

Hi @Anonymous - see the following M code. It turns this:

edhans_0-1596392959109.png

into this:

 

edhans_0-1596393139916.png

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQ3MzUzUNJRcs/PT89JVQjIyM9LVYrVQZIJzyxKTVHwSE1MKQBJFsNlzU1w6QPLhAY76TorOGckFqVn5qUrOCcm5SBUmBoDVfhkpmeU5IEl8ahyyi9OVQjOL81LCS7ILyrB5hKwOseCAqBDHDOLCvJTilFUxQIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Order ID" = _t, Product = _t]),
    #"Grouped Rows" = 
        Table.Group(
            Source, 
            {"Order ID"}, 
            {
                {"Products", each _[Product] }
            }
        ),
    #"Extracted Values" = Table.TransformColumns(#"Grouped Rows", {"Products", each Text.Combine(List.Transform(_, Text.From), " - "), type text})
in
    #"Extracted Values"

 

The key is in the Group By statement, I am grouping by ID, then I create a list with the each _[Product] statement.

Then I simply expand that to values through the UI and type in the " - " delimiter.

edhans_2-1596393103218.png

 

1) In Power Query, select New Source, then Blank Query
2) On the Home ribbon, select "Advanced Editor" button
3) Remove everything you see, then paste the M code I've given you in that box.
4) Press Done
5) See this article if you need help using this M code in your model.



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting
Anonymous
Not applicable

You rock!!!! thank you so much.

Glad I was able to assist @Anonymous 



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting

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