The application of precise and often complex filter conditions has always been at the heart of business intelligence, and Power BI Desktop supports rich filtering capabilities across its query, data model, and visualization components. In many scenarios, filtering at the query level via the Query Editor and M functions is the optimal choice, as this reduces the workload of both import and DirectQuery data models and eliminates the need for re-applying the same filter logic across multiple reports.

Although the Query Editor graphical interface can be used to configure filtering conditions, this recipe demonstrates M's core filtering functions and the use of M in common multi-condition filter scenarios.