Air pollution is increasingly recognized as a major global issue resulting from industrial processes, urban development, transportation emissions, and a wide range of human activities. This study investigates air pollutant behavior through a qualitative approach, utilizing topological data analysis (TDA) techniques, the conventional Mapper (CM), and its variant Ball Mapper (BM). It analyzes six major air pollutants (NO2, PM10, PM2.5, O3, CO, and SO2) collected from 60 air quality monitoring stations across Malaysia. The topological graphs generated using the CM algorithm revealed clusters of regions and stations exhibiting similar pollutant behavior. The results showed similar patterns in PM10 behavior across the years 2013, 2015, and 2020.