Which two cross-filter directions are available in Power BI table relationships ?
There are actually three possible cross-filter directions available in Power BI table relationships, depending on the type of relationship:
1. One-to-many:
One-to-many: This is the most common relationship type, where one row in the "one" table can be linked to multiple rows in the "many" table. The cross-filter direction can be:
None: No filtering occurs in either direction.
From one to many: Filters applied to the "one" table will filter the corresponding rows in the "many" table. This is the default behavior.
Both: Filters applied to either table will propagate to the other table. This can be useful for exploring connections between the tables, but it can also lead to unexpected results if not used carefully.
2. Many-to-many:
Many-to-many relationships require a bridging table to connect the two tables. The cross-filter direction can be:
None: Similar to one-to-many relationships, no filtering occurs in either direction.
From either to both: Filters applied to either table will propagate to both tables through the bridging table. This is the typical behavior for many-to-many relationships.
3. One-to-one:
One-to-one relationships are less common, but they can be useful for specific scenarios. The cross-filter direction is always Both: filters applied to either table will propagate to the other table. This reflects the close relationship between the two tables, where each row in one table is uniquely linked to a single row in the other.
Remember: When choosing the cross-filter direction, consider the relationship between your tables and the intended outcome of your analysis. Avoid using "Both" direction unless you understand the potential consequences and have a specific reason for using it.
I hope this clarifies the different cross-filter directions available in Power BI! Feel free to ask if you have any further questions or want to explore specific scenarios.
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