Analyzed raw data from a bowling center to understand customer flow, interarrival times, cashier and shoe pick-up durations, game durations, and stay-or-exit behavior. The dataset includes time stamps for various customer interactions and calculates waiting times, payment types, lane assignments, and game durations. This information is useful for optimizing staffing, improving service efficiency, and identifying peak periods.