Don't miss your chance to take exam DP-600 or DP-700 on us!
Request nowLearn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hello
I have the following dataset
| CustomerID | ProductID |
| 000AA | 1 |
| 000CC | 3 |
| 000CC | 1 |
| 000FF | 3 |
| 000BB | 1 |
| 000DD | 1 |
| 000FF | 2 |
What I'm trying to do is to add a column that will flag for the customer whether they have other purchases in the table, so I want my final dataset to look like this
| CustomerID | ProductID | Product1Flag | Product2Flag | Product3Flag |
| 000AA | 1 | Y | N | N |
| 000CC | 3 | Y | N | Y |
| 000CC | 1 | Y | N | Y |
| 000FF | 3 | N | Y | Y |
| 000BB | 1 | Y | N | N |
| 000DD | 1 | Y | N | N |
| 000FF | 2 | N | Y | Y |
Notice that CustomerID 000CC has a flag in column Product1Flag and Product3Flag even when that record appears before their purchase of Product 1.
In the end that table should give me all the products purchased by that customer in a single row.
Im very very new to PowerBI and DAX functions - i recognize this is probably very easy so thank you for your patience here
Hello @amitchandak
The issue is me here. Very new to this. Where exactly do I include this large code set and which fields do i modify to adjust to my actual query?
@Anonymous , Please try this power query code
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjAwcHRU0lEyVIrVAfOcnYE8YxQeXM7NDVnOyQlZzsUFQ6WRUmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [CustomerID = _t, ProductID = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"CustomerID", type text}, {"ProductID", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Cnt", each 1),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Added Custom", {{"ProductID", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Added Custom", {{"ProductID", type text}}, "en-US")[ProductID]), "ProductID", "Cnt", List.Max),
#"Changed Type1" = Table.TransformColumnTypes(#"Pivoted Column",{{"1", type text}, {"3", type text}, {"2", type text}}),
#"Replaced Value" = Table.ReplaceValue(#"Changed Type1","1","Y",Replacer.ReplaceText,{"1", "3", "2"}),
#"Replaced Value1" = Table.ReplaceValue(#"Replaced Value",null,"N",Replacer.ReplaceValue,{"1", "3", "2"})
in
#"Replaced Value1"
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 49 | |
| 40 | |
| 37 | |
| 14 | |
| 13 |
| User | Count |
|---|---|
| 85 | |
| 70 | |
| 37 | |
| 28 | |
| 27 |