What is the function of Relativity’s "visual analytics" feature during processing?

The "visual analytics" feature in Relativity serves the purpose of providing insights and trends from processed data. This function allows users to analyze large datasets visually, enabling them to identify patterns, relationships, and anomalies that may not be apparent in raw data formats. By presenting information through graphs, charts, and other visual tools, users can quickly grasp the significance of trends and make informed decisions based on the processed data. This capability enhances overall data analysis, allowing for a more strategic and efficient approach to understanding complex datasets.

The other options do not align with the core function of visual analytics. For example, generating automated reports without user input does not pertain to the exploratory nature of visual analytics, which emphasizes interaction and analysis. Creating visual presentations of unrelated data overlooks the key aspect of analyzing trends within relevant datasets. Restricting access to sensitive information is more related to security features rather than analytics.