Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Sign up nowGet Fabric certified for FREE! Don't miss your chance! Learn more
Hi PowerBi Community,
I am looking to make the column accounts disnict and create columns for the codes that correspond with the account. All help is greatly appreciated.
Solved! Go to Solution.
Hi @Awollet33,
i think this question has been answered here before but not sure where I can find.
This is your desired output.
Here's the code. Paste on your blank query using Advanced Editor.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcvF3V9JRSlSK1YlWcnYMAbKTwGwP/6BgVyAvGcwjpAoi4+sfCuYl4dCTjKIqRSk2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Account = _t, Code = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Account", type text}, {"Code", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Account"}, {{"Count", each _, type table [Account=nullable text, Code=nullable text]}}),
#"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.Column([Count], "Code")),
#"Extracted Values" = Table.TransformColumns(#"Added Custom", {"Custom", each Text.Combine(List.Transform(_, Text.From), ", "), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Custom", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Custom.1", "Custom.2", "Custom.3"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Custom.1", type text}, {"Custom.2", type text}, {"Custom.3", type text}}),
#"Removed Columns" = Table.RemoveColumns(#"Changed Type1",{"Count"})
in
#"Removed Columns"
Take note, there is a shorter way to do this. If I find the link, I'll send you. That's shorter and easier.
But hope this helps.
Hi @Awollet33,
i think this question has been answered here before but not sure where I can find.
This is your desired output.
Here's the code. Paste on your blank query using Advanced Editor.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcvF3V9JRSlSK1YlWcnYMAbKTwGwP/6BgVyAvGcwjpAoi4+sfCuYl4dCTjKIqRSk2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Account = _t, Code = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Account", type text}, {"Code", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Account"}, {{"Count", each _, type table [Account=nullable text, Code=nullable text]}}),
#"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.Column([Count], "Code")),
#"Extracted Values" = Table.TransformColumns(#"Added Custom", {"Custom", each Text.Combine(List.Transform(_, Text.From), ", "), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Custom", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Custom.1", "Custom.2", "Custom.3"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Custom.1", type text}, {"Custom.2", type text}, {"Custom.3", type text}}),
#"Removed Columns" = Table.RemoveColumns(#"Changed Type1",{"Count"})
in
#"Removed Columns"
Take note, there is a shorter way to do this. If I find the link, I'll send you. That's shorter and easier.
But hope this helps.
Hi @mussaenda ,
Thank you for your help and time! I am going to try and work through your code and it make it work for my data set.
Thank you,
Adam
Hey @Awollet33 ,
you can do that in Power Query with the Pivot function.
Check the following article on how to do that:
Pivot your Data using Power Query - Microsoft Power BI Community
Hi @selimovd ,
The pivot function doesn't seem to be getting me the desired result I want. Thank you for your time in helping me figure out this problem.
Thanks,
Adam
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 64 | |
| 63 | |
| 48 | |
| 21 | |
| 18 |
| User | Count |
|---|---|
| 118 | |
| 117 | |
| 38 | |
| 36 | |
| 27 |