Affects the behavior of the stock filter.

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DAX, the formula language used in Power BI, has an automatic filtering mechanism, informally called "auto-existence". This mechanism is triggered when you filter multiple columns in the same table. DAX knows that not all combinations of values ​​in those columns are valid, so it automatically excludes invalid combinations. This process generates a filter that combines values, which not only returns valid combinations, but also affects the calculation of the measure.



With the latest update to Power BI, you now canada telegram data have more control over this behavior in the semantic model. You can decide whether to disable combined value filters and enable independent value filters. By setting the Value filter behavior option to Independent, filters in the same table will remain independent and not combined by the DAX engine.



Understand the behavior of the current value filter.



When filtering multiple columns in the same table, the current default behavior merges those filters into one, considering only existing joins. For example, if you have a "Year" column that contains values ​​like "2023" and a "Month" column that contains values ​​like "January 2024", filtering on both columns will only consider valid combinations. The combination of January 2024 with the year 2023 does not exist and therefore will not be included in the filter. However, in some cases the results can be surprising.