A Pyspark-Sparksql Pipeline for Urban Air Quality Monitoring: 4-Year Trends and Who Assessment (2021–2024)
A reproducible PySpark–SparkSQL analytical pipeline applied to four years of daily urban air quality monitoring data, addressing five structured research questions about seasonal and temporal variability, pollutant drivers of the Air Quality Index (AQI), human-activity effects on ambient concentrations, and compliance...