This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
Hi!
I have a datatable where I have transaction information. I want to set filters on club names (so selecting club A and club B) and show all related rows in the table whether the clubs are seller or buyer in the transaction (so if a club sold a player that is a distinct line in the table and if the same club bought a player that is an other distinct line). I also want to have a possibility to select multiple regions or countries and using them as a filter on my table.
The dataset is not so complex, I have a seller company and a buyer company, both have region and country information and the fe of the transaction and the target of the transaction.
Solved! Go to Solution.
Hi @attilajozsef712 ,
Create a new table as below:
Table 2 =
DISTINCT (
UNION (
SELECTCOLUMNS (
'Table',
"Country", 'Table'[Country A],
"Region", 'Table'[Region A],
"Club", 'Table'[Club Seller],
"Target", 'Table'[Target],
"Transfer", 'Table'[Transfer Price]
),
SELECTCOLUMNS (
'Table',
"Country", 'Table'[Country B],
"Region", 'Table'[Region B],
"Club", 'Table'[Club Buyer],
"Target", 'Table'[Target],
"Transfer", 'Table'[Transfer Price]
)
)
)
And you will see:
Then you could do any filters as you like.
For the related .pbix file,pls see attached.
Best Regards,
Kelly
Did I answer your question? Mark my raeply as a solution!
| Country A | Region A | Club Seller | Country B | Region B | Club Buyer | Target | Transfer Price |
| China | Asia | Club A | England | Europe | Club C | Player A | 10000000 |
| Brasil | South America | Club B | England | Europe | Club C | Player B | 2000000 |
| England | Europe | Club C | France | Europe | Club D | Player C | 15000000 |
| England | Europe | Club C | Spain | Europe | Club E | Player D | 12000000 |
| France | Europe | Club D | Italy | Europe | Club F | Player E | 6000000 |
| France | Europe | Club D | Germany | Europe | Club I | Player F | 75800000 |
| France | Europe | Club D | Belgium | Europe | Club J | Player G | 13000000 |
| USA | North America | Club G | Brasil | South America | Club B | Player H | 2650000 |
| Egypt | Africa | Club L | Australia | Australia | Club Z | Player I | 120000 |
Hi @attilajozsef712 ,
Create a new table as below:
Table 2 =
DISTINCT (
UNION (
SELECTCOLUMNS (
'Table',
"Country", 'Table'[Country A],
"Region", 'Table'[Region A],
"Club", 'Table'[Club Seller],
"Target", 'Table'[Target],
"Transfer", 'Table'[Transfer Price]
),
SELECTCOLUMNS (
'Table',
"Country", 'Table'[Country B],
"Region", 'Table'[Region B],
"Club", 'Table'[Club Buyer],
"Target", 'Table'[Target],
"Transfer", 'Table'[Transfer Price]
)
)
)
And you will see:
Then you could do any filters as you like.
For the related .pbix file,pls see attached.
Best Regards,
Kelly
Did I answer your question? Mark my raeply as a solution!
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 30 | |
| 28 | |
| 23 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 49 | |
| 47 | |
| 41 | |
| 21 | |
| 19 |