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International Air Quality Index Data
Data Science and Analytics
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About
Air quality measurements collected from 8,469 locations across 65 different countries are available in this data product. It aggregates 231,965,688 individual measurements from 105 official government and research-grade sources. Please note that some records may have character encoding issues or future dates, which are present in the original source data and have not been altered.
Columns
- Country Code: The code representing the country.
- City: The city where the measurement was taken.
- Location: The specific location of the sensor.
- Coordinates: The geographical coordinates of the location.
- Pollutant: The type of pollutant measured.
- Source Name: The name of the data source.
- Unit: The unit of measurement for the pollutant's value.
- Value: The measured numerical value of the pollutant.
- Last Updated: The timestamp indicating when the data was last updated.
- Country Label: The full name of the country.
Distribution
The data is provided in a CSV file format named
openaq.csv with a size of 6.5 MB. It contains 10 columns of data. The exact number of rows is not specified in the provided sample information.Usage
This data is ideal for environmental research, public health studies, and urban planning. Data scientists can use it for trend analysis, predictive modelling of pollution levels, and developing applications for public awareness. It is also valuable for computer science applications related to large-scale data processing and earth science studies.
Coverage
The data covers 8,469 locations across 65 countries worldwide. The time range of the measurements is not specified. There are known data availability issues, with some columns like 'Location', 'Coordinates', 'Pollutant', 'Source Name', 'Unit', 'Value', 'Last Updated', and 'Country Label' showing a high percentage of missing values in the provided sample.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Environmental Researchers: To analyse global and regional air pollution trends.
- Public Health Officials: To study the correlation between air quality and health outcomes.
- Data Journalists: To create data-driven stories about environmental changes.
- Urban Planners: To inform decisions on city design and green initiatives.
- Software Developers: To build air quality monitoring applications and APIs.
Dataset Name Suggestions
- Global Air Quality Measurements
- Worldwide Air Pollution Data
- OpenAQ Aggregated Air Quality Readings
- International Air Quality Index Data
- Cross-Country Environmental Pollutant Levels
Attributes
Original Data Source: International Air Quality Index Data
QUALITY