Air quality monitoring

This airquality.csv file has 5,999 rows and 5 numeric columns—PM2.5, co2, no2, so2, and o3—with no missing values and no duplicate rows. The variables look like pollutant concentrations, each showing distinct spread: PM2.5 has a median of 18 with an interquartile range (IQR) 11–28 (range 3–48); co2 is the most variable with a median 1,183 and a long right tail (IQR 625–4,093, range 40–6,999); no2 centers at 48 (IQR 27–174, range 5–300); so2 at 59 (IQR 35–229, range 1–400); and o3 at 123 (IQR 77–167, range 10–250). In short, it’s a clean, fully numeric pollution dataset with notable dispersion—especially in co2 and so2—well-suited for quick EDA (distributions, outliers, correlations) or modeling once you decide on a prediction target.