Nominal data is essential in epidemiology for several reasons:
Classification: It allows researchers to categorize individuals into groups, making it easier to study disease patterns and risk factors. Descriptive Statistics: Nominal data helps in summarizing and describing the features of a dataset. Comparative Analysis: Researchers can compare the prevalence of diseases among different groups, such as comparing infection rates between different age groups or geographic locations.