Nur Haizum Abd RahmanMuhammad Hisyam Lee2024-05-102024-05-102020Abd Rahman, N. H., & Lee, M. H. (2020). Air pollutant index calendar-based graphics for visualizing trends profiling and analysis. Sains Malaysiana, 49(1), 201-209.https://repoemc.ukm.my/handle/123456789/580Detection of air quality abnormality is important as an early warning system for air quality control and management. The information can raise citizens’ awareness towards current air quality status. By using time series plot, the data pattern can be identified but not able to exactly determine the abnormality due to overcrowded plot. Therefore, visualization data profiling was presented in this study by using seven years Malaysia daily air pollutant index to improve the detection.Air pollutant indexcalendardata visualizationprofilingJournal