Interactive Virtual Worlds provide new individual and social experiences in a huge number of artificial realities. They also have monumental potential for the research of how individuals interact, and how societies operate and evolve. Best minecraft servers and evaluation of in-play behavioral data can be invaluable for enhancing player experiences, facilitating efficient administration, and unlocking the scientific potential of online societies. This paper details the event of a framework to gather participant data in Minecraft. We current a complete solution which may be deployed on Minecraft servers to ship collected data to a centralized server for visualization and analysis by researchers, players, and server administrators. Utilizing the framework, we collected and analyzed over 14 particular person-days of active gameplay. We built a classification device to identify excessive-degree player behaviors from observations of their second-by-second recreation actions. Heat map visualizations highlighting spatial conduct might be utilized by gamers and server directors to evaluate sport experiences. Our information assortment and analysis framework affords the opportunity to know how particular person behavior, environmental factors, and social techniques interact by giant-scale observational studies of virtual worlds.