Data visualization on Air Pollution Index (API) in Malaysia using interactive dashboard

Air pollution is a concern in the environment and health, especially in the developing country like Malaysia. Most people are ignorant of the status of Air Pollution Index (API) levels in their areas that can harm their health. Thus, a Data Visualization of Air Pollution is proposed to increase awareness and people to plan their movement around Malaysia. The waterfall model was used in this research, and it consists of five phases, which is preliminary study, analysis, design, development, and testing. Using Power Bi for data visualization, this project intends to assist users in viewing data in a more comprehensible and intuitive manner. The goal of this project is to investigate the Air Pollution Index data analysis requirements and techniques, design and develop an Air Pollution Index data analysis using a data visualization approach. User Acceptance Test (UAT) has been carried out to evaluate the proposed system with the participation of thirty-three individuals. In conclusion, the participants acknowledged the Data Visualization of Air Pollution Index(API) In Malaysia Using Interactive Dashboard as a platform for gaining knowledge about this topic.