Analysis and Visualization of the Dengue Outbreak in Dhaka

This project focuses on analyzing air quality and pollution levels based on environmental and demographic factors. It considers pollutants like PM2.5, PM10, NO2, SO2, and CO, which impact air quality. Factors such as temperature, humidity, and population density are also analyzed to understand their influence on pollution levels.

By using data analysis techniques, patterns and trends in air pollution are identified. Visualizations such as graphs and pie charts help display results clearly. Air quality is categorized into Good, Moderate, Poor, and Hazardous levels, making it easier to interpret the data.

The findings can help researchers, environmental organizations, and policymakers develop better strategies to reduce pollution and improve air quality. This project demonstrates how data analysis and visualization can support public health and environmental sustainability.