What is the main difference between a selection and a query in data filtering?

The distinction between a selection and a query in data filtering lies primarily in how they manipulate and display data in relation to other data sets or components. A selection focuses on highlighting and displaying specific parts of the data while still allowing the viewer to see other data points. This means that when a selection is made, the context of the entire dataset is maintained, and users can still analyze the remaining data alongside the filtered information.

In contrast, a query is typically designed to modify the results returned based on specific criteria. It interacts with the dataset more rigidly, often producing a new set of results that do not show the full context of the original dataset. Essentially, a query alters the output to reflect only the data that meets the specified conditions, while a selection allows the user to see how certain data fits within the larger dataset.

Understanding this difference is important for effectively utilizing data filtering methods, especially when building visualizations or dashboards, as it impacts how users can interact with and gain insights from the data presented.