A Machine Learning Approach to Predict Air Quality in California
Table 2
Dataset variable description.
Variable name
Description
Stated name
The state name where the monitor resides.
Parameter code
The AQS code corresponding to the parameter being measured.
Parameter name
The name or description assigned in AQS to the parameter measured by the monitor. The parameters are CO, SO2, NO2, ozone, PM2.5, temperature, humidity, and wind.
Date GMT
The calendar date of the average in Greenwich Mean Time.
Time GMT
The time of the day for the average on a 24-hour clock in Greenwich Mean Time.
Units of measure
The units of measured parameter.
Uncertainty
The reporting agency indicates the total measurement uncertainty associated with a reported measurement.
Qualifier
Sample values may have qualifiers that indicate why they are missing or that key is out of ordinary. Types of qualifiers are null data, exceptional events, natural events, and quality assurance.
Date of last change
The date the last time any numeric values in this record were updated in the AQS data system.
The pollutant data are expressed in units of mass concentrations, i.e., mg/m3 (ppm), except for NO2, which is measured in ppb.
