EDA is essential in epidemiology for several reasons. First, it helps in the initial understanding of the data, including its quality and completeness. Second, it aids in detecting anomalies and potential errors. Third, EDA can reveal underlying patterns, such as trends in disease incidence or association between risk factors and health outcomes. These insights are critical for designing more focused analytical studies and for public health interventions.
