Count data refers to numerical data that represents the number of occurrences of an event within a specific time frame or space. This type of data is often non-negative integers, such as the number of cars passing a checkpoint, the number of emails received in a day, or the number of patients visiting a clinic. Count data is commonly analyzed using statistical methods designed for discrete outcomes. In many fields, including epidemiology, economics, and social sciences, count data is essential for understanding patterns and trends. Researchers often use models like Poisson regression or negative binomial regression to analyze count data, as these models account for the unique characteristics of such data, including overdispersion and zero-inflation.