The article discusses different models used to analyze rainfall data, which is a type of count data. Count data refers to the number of times a specific event occurs, like rainfall. Linear regression is not suitable for analyzing count data because it doesn't follow a normal distribution. Models like Poisson regression and Negative Binomial regression are better suited for this type of data. Sometimes, there are more zeros in the data than expected, which is called "Zero-inflation". In this study, the researchers used models like Poisson, Negative Binomial, ZAP, and ZANB to analyze rainfall data.