What are Personalized Visuals in the context of application analytics?

Personalized Visuals in application analytics refer to visuals that are specifically tailored to meet the unique needs and preferences of individual users or groups of users. The correct choice highlights that these visuals utilize element filters, which allow users to customize the data they see based on predefined criteria. This filtering capability is crucial because it enables users to focus on the data that is most relevant to their tasks, enhancing the overall user experience and improving data analysis.

By using element filters, Personalized Visuals can adapt to different contexts or requirements, meaning that the same visual can reveal different insights to different users, based on their roles or the data they are interested in. This customization is a key aspect of application analytics, as it allows for a more effective interpretation of the data, making it easier for users to derive actionable insights.

For the other options, summary data might provide an overview but lacks the tailored insight that personalized visuals offer. Visuals tailored for specific user roles would usually involve more than just filtering elements, as these roles might demand different templates, data points, or structures altogether. Lastly, visuals that cannot be edited do not align with the concept of personalization, which inherently involves adjustments based on user input and feedback.