Air quality data for 12 Beijing monitoring stations from 2013 to 2017
Source:R/air_quality.R
fetch_air_quality.RdHourly air quality measurements from 12 monitoring stations across Beijing, China, from 1 March 2013 to 28 February 2017. The data are downloaded and returned.
Format
A data frame with 420,768 rows and 17 columns:
- station
Name of the monitoring station
- year
Year of measurement
- month
Month of measurement
- day
Day of measurement
- hour
Hour of measurement (0–23)
- pm2_5
Particulate matter with diameter less than 2.5 micrometers (micrograms per cubic meter)
- pm10
Particulate matter with diameter less than 10 micrometers (micrograms per cubic meter)
- so2
Sulfur dioxide concentration (micrograms per cubic meter)
- no2
Nitrogen dioxide concentration (micrograms per cubic meter)
- co
Carbon monoxide concentration (micrograms per cubic meter)
- o3
Ozone concentration (micrograms per cubic meter)
- temperature
Temperature (degrees Celsius)
- pressure
Atmospheric pressure (hPa)
- dew_point
Dew point temperature (degrees Celsius)
- rainfall
Rainfall (millimeters)
- wind_direction
Wind direction
- wind_speed
Wind speed (meters per second)
Source
Chen, S. (2017). Beijing Multi-Site Air Quality Dataset. UCI Machine Learning Repository. doi:10.24432/C5RK5G
References
Hyndman, R J (2026) That's weird: Anomaly detection using R, https://OTexts.com/weird/.
Examples
if (FALSE) { # \dontrun{
air_quality <- fetch_air_quality()
air_quality |>
filter(station == "Aotizhongxin") |>
ggplot(aes(x = temperature, y = pm2_5)) +
geom_point(alpha = 0.1)
} # }