In recent years, environmental problems such as climate change and pollution are affecting people's daily lives all over the globe. Acknowledging this umbrella environmental dilemma, this project aims to (1) identify some factors that influence air quality, (2) find the insights with other social and health-related variables, (3) raise awareness with statistical evidence, and (4) find good replicable preventive solutions for other countries who suffer air pollution. This project investigates the trend of air quality-air quality index (AQI), particulate matter 2.5 (PM2.5), and particulate matter 10 (PM10)-from 2015 to 2018 in Asia, specifically in Vietnam and Korea, using Watson Analytics and data-driven methods. This study uses over 40 million data points (not limited to AQI and particulate matters) coming from various different sources including governmental official data, private NGOs, and the US embassy. One of the key results of this project is a clear relationship between PM2.5 and average humidity in Korea. Another key result includes the discovery of similar pattern in the correlations between AQI and the following time variable: yearly, quarterly, monthly, and daily.