Process data refers to information that is collected and analyzed during a specific process or activity. This type of data typically includes measurements, observations, and other variables that are relevant to the process being studied. Researchers use process data to understand how a particular system or activity functions, identify patterns or trends, and make improvements or optimizations. Process data analysis involves techniques such as statistical analysis, data visualization, and modeling to extract meaningful insights and draw conclusions from the data. This research area is commonly used in fields such as engineering, manufacturing, healthcare, and various other industries to streamline processes, enhance efficiency, and drive informed decision-making.