Histograms are particularly useful in epidemiology for several reasons:
Visualizing Data Distribution: They allow researchers to see the shape of the data distribution at a glance, which is critical for identifying patterns such as normal distribution, skewness, or bimodal distribution. Identifying Outliers: Outliers or unusual data points can be easily spotted, which can prompt further investigation. Comparing Groups: Histograms can be used to compare the distributions of different groups, such as age groups, geographic locations, or exposure categories.
