Grouping data helps in simplifying and summarizing large volumes of information, making it easier to identify disease patterns and trends. It allows researchers to compare different groups, such as age, gender, or geographic regions, and to identify risk factors and outcomes associated with various health events. This practice is essential for public health surveillance, planning interventions, and evaluating the effectiveness of health programs.
