Data Simulation

Data simulation is the process of creating artificial data that mimics real-world data based on specific assumptions or models. It allows researchers to test hypotheses, evaluate strategies, or understand potential outcomes without using actual data. By generating possible scenarios, data simulation helps to assess risks, optimize decisions, and forecast future situations in a controlled, cost-effective manner. It relies on algorithms to produce data that reflects the patterns, distributions, and relationships observed or expected in real data, providing valuable insights for analysis and planning.