When you select a data point in one visual and another visual updates accordingly, what is this interaction called?

The interaction where selecting a data point in one visual prompts another visual to update is known as cross-filtering. This capability allows users to explore data more interactively, as the selection in one visual acts as a filter for the other visuals on the dashboard.

When cross-filtering is in play, it enables a connected analysis experience, letting users see how data points relate to one another across different dimensions. For example, if you have a bar chart displaying sales by region and click on a specific region bar, the other visuals, such as line charts or tables, will filter their data to only show information relevant to the selected region.

This dynamic interaction enhances data exploration by allowing users to focus on specific data subsets without needing to set up new queries or filters manually. The other options possess their unique functionalities but do not describe the specific action of one visual updating in response to a selection in another.