3D visualization differs between exploratory and explanatory use cases primarily in their goals: exploration focuses on interactive discovery of insights, while explanation prioritizes clear communication of predefined information.
Exploratory 3D visualization emphasizes flexibility and user-driven interaction to uncover unknowns. It’s often used in scientific research or data analysis, where users manipulate models (e.g., rotating, zooming) to explore variables and spot hidden patterns.
Explanatory visualization, by contrast, uses structured, guided content to convey specific conclusions. Common in presentations or education, it simplifies complexity to clarify known concepts—think annotated models or step-by-step narratives tailored for an audience.
In short, choose exploratory for discovering new insights (with interactive tools) and explanatory for explaining established information (with clear narratives).