Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
I have this table:
| Producto | Categoria |
| a | H1 |
| a | H2 |
| a | H3 |
| b | H9 |
| b | H8 |
| b | H2 |
Then, I need create 2 slicer to compare.
The Slicer1 to select one product (example: product "a")
The Slicer2 to select other product (example: product "b")
The table of result is:
| Producto | Producto | Categoria |
| a | b | H9 |
| a | b | H8 |
Here I can see the difference between product "a" and product "b" is only on categories "H8" and "H9".
Sorry coz my english is very bad, thans to all for Help
Solved! Go to Solution.
I could solve it with this Measure:
Categoria_Exclusiva =
VAR Producto1 = SELECTEDVALUE(Tabla1[Producto])
VAR Producto2 = SELECTEDVALUE(Tabla2[Producto])
VAR CategoriaProducto1 =
CALCULATETABLE(
FILTER(
VALUES(Tabla1[Categoria]),
LEFT(Tabla1[Categoria], 3) <> "ZRC" -- Excluir Categoria que comiencen con "ZRC"
),
Tabla1[Producto] = Producto1
)
VAR CategoriaProducto2 =
CALCULATETABLE(
FILTER(
VALUES(Tabla2[Categoria]),
LEFT(Tabla2[Categoria], 3) <> "ZRC" -- Excluir Categoria que comiencen con "ZRC"
),
Tabla2[Producto] = Producto2
)
VAR CategoriaExclusivosProducto1 =
EXCEPT(CategoriaProducto1, CategoriaProducto2)
RETURN
IF(
SELECTEDVALUE(Tabla1[Categoria]) IN CategoriaExclusivosProducto1,
1, -- Es exclusivo
BLANK() -- No es exclusivo
)
I could solve it with this Measure:
Categoria_Exclusiva =
VAR Producto1 = SELECTEDVALUE(Tabla1[Producto])
VAR Producto2 = SELECTEDVALUE(Tabla2[Producto])
VAR CategoriaProducto1 =
CALCULATETABLE(
FILTER(
VALUES(Tabla1[Categoria]),
LEFT(Tabla1[Categoria], 3) <> "ZRC" -- Excluir Categoria que comiencen con "ZRC"
),
Tabla1[Producto] = Producto1
)
VAR CategoriaProducto2 =
CALCULATETABLE(
FILTER(
VALUES(Tabla2[Categoria]),
LEFT(Tabla2[Categoria], 3) <> "ZRC" -- Excluir Categoria que comiencen con "ZRC"
),
Tabla2[Producto] = Producto2
)
VAR CategoriaExclusivosProducto1 =
EXCEPT(CategoriaProducto1, CategoriaProducto2)
RETURN
IF(
SELECTEDVALUE(Tabla1[Categoria]) IN CategoriaExclusivosProducto1,
1, -- Es exclusivo
BLANK() -- No es exclusivo
)
@Danielecc Try using
Go to the "Modeling" tab and select "New Table".
Create a new table with the same data as your original table.
Table2 = Table1
Go to the "Model" view.
Create a relationship between Table1[Producto] and Table2[Producto].
Add a slicer for Table1[Producto] and another slicer for Table2[Producto] to your report.
Create a new measure to identify the categories that are different between the two selected products.
DifferentCategories =
VAR SelectedProduct1 = SELECTEDVALUE(Table1[Producto])
VAR SelectedProduct2 = SELECTEDVALUE(Table2[Producto])
RETURN
CALCULATETABLE(
EXCEPT(
SELECTCOLUMNS(FILTER(Table1, Table1[Producto] = SelectedProduct1), "Categoria", Table1[Categoria]),
SELECTCOLUMNS(FILTER(Table2, Table2[Producto] = SelectedProduct2), "Categoria", Table2
Create a table visual:
Add a table visual to your report.
Use the Producto from Table1, Producto from Table2, and the Categoria from the measure DifferentCategories.
Proud to be a Super User! |
|
Hi @bhanu_gautam , thanks for your reply.
I try your solution and I made the other table as you said and related product with product (that was a many to many relationship).
I made the measure and in the last line I had an error, but I solved with this change:
SELECTCOLUMNS(FILTER(Table2, Table2[Producto] = SelectedProduct2), "Categoria", Table2[Categoria])))
But when I made the Table visual with the products and this measure, doesn't work. The table visual was Empty.
Thanks a lot anyway
Vote for your favorite vizzies from the Power BI World Championship submissions!
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 | |
| 53 | |
| 42 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 123 | |
| 104 | |
| 44 | |
| 32 | |
| 24 |