How can multiple data selections be processed in a dashboard widget?

Utilizing selection-based filters is the correct approach for processing multiple data selections in a dashboard widget. This method allows users to dynamically choose criteria that refine the displayed data according to their specific needs. By applying selection-based filters, users can customize their view based on varied parameters, leading to more granular insights and tailored data visualizations.

This flexibility is crucial in dashboard environments, where users often want to interact with and manipulate data on the fly. The selection-based filter optimizes the data presentation by enabling real-time adjustments, without the need to pre-define every potential variable in the dashboard.

In contrast, while aggregate functions are helpful for summarizing data, they don’t address the necessity of dynamically selecting and filtering various datasets simultaneously. Recursive queries serve specific purposes in data retrieval but are not typically used in the context of dashboard filtering. Global filters could also apply to multiple components, but they don’t allow for the same level of interactive, user-driven selection that selection-based filters provide.