Breathing Easy: A Python Dive into Air Quality Analysis

Abstract

In this comparative analysis, we delve into the disparities between the US Air Quality Index (AQI) and the Indian AQI methodologies, with a specific focus on PM2.5 concentrations. Through the utilization of bar charts, we visually represent AQI values derived from both methodologies, thus elucidating the divergences and convergences in outcomes. This visual depiction serves to highlight how different regions interpret air quality data, shedding light on the complexities inherent in air quality assessment. Furthermore, our study goes beyond mere comparison by offering insights into the AQI calculation process. We emphasize the necessity of tailoring methodologies to specific geographical and environmental contexts, recognizing the importance of regional nuances in accurately assessing air quality conditions. By tending to these varieties, our examination adds to a more profound comprehension of air quality evaluation and illuminates future endeavours in the normalization and variation of AQI techniques around the world. Ultimately, our findings underscore the imperative of considering regional differences in formulating AQI standards to facilitate more effective environmental management strategies on a global scale.