Interactive Virtual Worlds provide new individual and social experiences in an enormous variety of synthetic realities. They even have enormous potential for the research of how people interact, and how societies operate and evolve. Systematic collection and analysis of in-play behavioral data might be invaluable for enhancing participant experiences, facilitating effective administration, and unlocking the scientific potential of on-line societies. This paper details the event of a framework to collect player data in Minecraft. We current an entire resolution which will 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 individual-days of lively gameplay. We built a classification instrument to establish excessive-degree player behaviors from observations of their second-by-moment recreation actions. Heat map visualizations highlighting spatial habits can be used by gamers and server directors to judge game experiences. Our knowledge collection and analysis framework offers the chance to grasp how individual behavior, environmental elements, and social programs interact via massive-scale observational studies of digital worlds. My world my life