Highlight Highest / Lowest AUTOMATICALLY using DAX

To create hierarchies within a single table.

To create dynamic relationships between tables based on specific criteria.

To improve the performance of large datasets.

To filter multiple visuals independently using slicers.

It can only be achieved through the relationships pane in Power BI Desktop.

It allows two-way filtering between tables, meaning a selection in one table can filter another, and vice versa.

It cannot be used with slicers or other filtering methods.

It is automatically enabled whenever two tables share a common column.

Crossfiltering can only be done through the Power BI user interface, not with DAX.

DAX measures are not required for crossfiltering; it's a built-in functionality.

You can achieve crossfiltering simply by creating a calculated column in one of the tables.

The measure typically uses the RELATED or RELATEDTABLE functions to reference another table based on a specific column relationship.

It allows for more granular control over filtering logic based on specific conditions.

DAX crossfiltering cannot be used with inactive relationships.

There is no performance difference between the two methods.

It is generally simpler to set up than table relationships.

Check the formatting of the DAX measure for any errors.

There is no troubleshooting required; DAX crossfiltering always works perfectly.

Verify that the columns used for filtering have a compatible data type in both tables.

Ensure the slicers are formatted correctly for the tables involved.

Bi-directional filtering depends on the slicer selection mode.

You can set the direction in the relationships pane settings.

The DAX measure needs to be written specifically to consider both filtering directions.

Bi-directional filtering is not possible with DAX crossfiltering.

Avoid overly complex filtering logic in the DAX measure, as it can impact performance.

DAX crossfiltering should be used extensively in every report for maximum functionality.

There is no need to optimize DAX crossfiltering for performance.

Use clear and meaningful measure names to improve readability.

When dealing with very large datasets, it can potentially impact report performance.

It is generally less intuitive to set up compared to table relationships.

It cannot be used with certain data types.

There are no disadvantages to using DAX crossfiltering.

It cannot be used in conjunction with other filtering techniques.

DAX crossfiltering overrides all other filtering methods.

It can work together with other filters to create a more refined data view.

There is a complex hierarchy of filter precedence to consider.

DAX crossfiltering is already very powerful and shouldn't be combined with other methods.

Creating calculated tables to manipulate data for crossfiltering.

Variable selection with USERELATIONSHIP function for user-driven control over filtering relationships.

There are no advanced techniques to combine with DAX crossfiltering.