Faceting involves dividing data into multiple subsets based on specific criteria, such as demographic characteristics, geographic location, or time periods. Each subset is then analyzed individually to uncover unique insights that might be obscured in aggregated data. This method is particularly useful in epidemiology, where understanding the nuances of disease spread is crucial for developing targeted interventions.