What is the main difference between a selection and a global filter in a dashboard?

The main difference between a selection and a global filter in a dashboard lies in their scope and application to the data being analyzed. A selection specifically focuses on analyzing individual queries, allowing users to dig into particular data segments or detailed insights. This means that when a selection is made, it is intended to highlight specific metrics or dimensions of interest without impacting the broader context of the entire dashboard.

On the other hand, a global filter applies to all elements within the dashboard, supporting a holistic view of the data by enabling users to refine their analysis consistently across various components. When a global filter is used, it influences all dashboard elements simultaneously, ensuring that all displayed data conforms to the same criteria or conditions set by the user.

In this context, the distinction is clear: while selections provide detailed analyses of targeted data, global filters establish overarching criteria that apply universally within the dashboard. This understanding of how each tool functions helps users effectively leverage dashboard capabilities for their data analysis needs.