This research identifies the requirement used to visualize Air Pollution Index in Malaysia (ApiMAS). Air pollution is a worldwide issue in the area of environment and health, especially in developing countries, which calls for crucial part of governments to implement solutions to solve air quality issues. Most people are unaware and not alert of particle pollution levels that can affect their health. When pollution information is incompatible, the lack of information sharing causes difficulties to the people. This research focuses on the on-site of Kuala Lumpur. Data visualization is most suitable for researchers to analyze, discover, and monitor performance through graphs, charts, or pictographs that can represent the data for information virtualization. The Cross-Industry Standard Process for Data Mining (CRISP-DM) model which is used as the methodology has four phases including business understanding, data understanding, data preparation, and modelling. This research output is an interactive design dashboard for information visualization that is necessary for researchers, public users, and technologists. In conclusion, interactive dashboard ApiMAS may assist its users with prolific knowledge provided in the dashboard.