Trajectory-based nonadiabatic dynamics require running numerous independent trajectories to approximate quantum system behavior until statistical convergence is achieved. At each time step of the dynamics, electronic properties for a given molecular configuration are computed. Thus, statistical analysis provides essential insights into dynamics features, such as excited-state lifetimes, reaction channel branching ratios, and dominant molecular motions. With the advancements in surface hopping techniques and the substantial growth of computational power, the systems under study are becoming increasingly complex. This progress allows for the generation of a large number of configurations more efficiently, resulting in a massive amount of high-dimensional data and reducing the uncertainty in the calculated mean properties.