Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
Current table:
I want my table to look like the one below, what formula should I use?
Tks
Solved! Go to Solution.
@vynguyen
Here is Power Query solution which you can paste in advanced editor, just use your source.
Or take step by step.
Here are steps:
1) in power query select column State > Transform > unpivot other columns
2) rename collumn "Attribute" to "Product"
3) go to Transform > Group By and add these settings:
4) Last, filter out if value = 0
Result:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIEYgOlWJ1oJScwS0fJCMxDlXOEyhkqxcYCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [State = _t, #"Product 1" = _t, #"Product 2" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"State", type text}, {"Product 1", Int64.Type}, {"Product 2", Int64.Type}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"State"}, "Attribute", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Unpivoted Other Columns",{{"Attribute", "Product"}}),
#"Grouped Rows" = Table.Group(#"Renamed Columns", {"State", "Product"}, {{"Quantity", each List.Sum([Value]), type number}}),
#"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each ([Quantity] <> 0))
in
#"Filtered Rows"
Cheers,
Nemanja Andic
Tks
@vynguyen
Here is Power Query solution which you can paste in advanced editor, just use your source.
Or take step by step.
Here are steps:
1) in power query select column State > Transform > unpivot other columns
2) rename collumn "Attribute" to "Product"
3) go to Transform > Group By and add these settings:
4) Last, filter out if value = 0
Result:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIEYgOlWJ1oJScwS0fJCMxDlXOEyhkqxcYCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [State = _t, #"Product 1" = _t, #"Product 2" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"State", type text}, {"Product 1", Int64.Type}, {"Product 2", Int64.Type}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"State"}, "Attribute", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Unpivoted Other Columns",{{"Attribute", "Product"}}),
#"Grouped Rows" = Table.Group(#"Renamed Columns", {"State", "Product"}, {{"Quantity", each List.Sum([Value]), type number}}),
#"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each ([Quantity] <> 0))
in
#"Filtered Rows"
Cheers,
Nemanja Andic
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
Join Fabric Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.
| User | Count |
|---|---|
| 22 | |
| 20 | |
| 14 | |
| 13 | |
| 13 |
| User | Count |
|---|---|
| 62 | |
| 40 | |
| 39 | |
| 39 | |
| 38 |