Count Data Analysis

Count data analysis involves examining data that consists of non-negative numbers representing the frequency of events, such as the number of visits to a store or the number of emails received. It helps identify patterns, relationships, or factors influencing these counts. Statistical models, like Poisson or negative binomial regression, are used to analyze how different variables impact the occurrence or frequency of these events. This approach provides insights into underlying processes and helps in making informed decisions based on the patterns observed in count data.