Global Air Pollution Dataset

This dataset presents detailed air quality information collected from multiple countries and cities worldwide. It provides the overall Air Quality Index (AQI) along with pollutant-specific AQI values and categorical air quality levels. Major pollutants such as Carbon Monoxide (CO), Ozone (O₃), Nitrogen Dioxide (NO₂), and fine particulate matter (PM2.5) are included, enabling both high-level and granular analysis of air pollution conditions.

By combining numerical AQI values with qualitative air quality categories, this dataset is suitable for a wide range of applications, including exploratory data analysis, visualization, machine learning modeling, and comparative environmental studies. It can be used to identify pollution trends, compare air quality across cities and countries, assess pollutant dominance, and build predictive or classification models related to environmental health.

Key Features of the Dataset

• Global coverage with country- and city-level air quality data
• Overall AQI values representing general air quality conditions
• Pollutant-wise AQI measurements for CO, O₃, NO₂, and PM2.5
• Categorical air quality labels for intuitive interpretation
• Suitable for both beginners and advanced data science projects

This dataset serves as a valuable resource for students, researchers, and data scientists interested in environmental analytics, public health insights, and machine learning applications related to air pollution.