What concept is emphasized when using cross-highlighting in relation to data interaction?

When using cross-highlighting in data interaction, the emphasis is on highlighting specific selections without excluding other data points. This technique allows users to clearly see the relationships and comparisons between selected data while simultaneously retaining the context of the entire dataset.

By highlighting the related data, users can gain insights into how the selected data points interact with one another as well as how they fit within the broader dataset. This approach encourages a comprehensive analysis rather than isolating data, enabling users to draw more meaningful conclusions and understand trends or patterns effectively.

Other choices relate to aspects of data interaction but do not accurately capture the essence of cross-highlighting. Filtering out non-selected data would remove context, dynamically changing visual types refers to altering how data is displayed rather than focusing on selection feedback, and sorting data by selected criteria involves arranging data rather than highlighting specific selections. Each of these options serves a different function in data interaction but does not reflect the primary concept of cross-highlighting.