Why is Univariate Analysis Important in Epidemiology?
Univariate analysis is crucial in epidemiology for several reasons. First, it provides a clear understanding of the baseline characteristics of the data. This understanding can help identify any anomalies or biases in the data collection process. Second, it assists in describing the pattern of disease distribution in a population, helping to determine the extent and impact of a health issue. Lastly, it serves as a preliminary step before conducting more complex analyses like [bivariate](https://) or [multivariate analysis](https://).
