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Seoul District Air Pollution Dataset
Nutrition, Preventive Health & Policy
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About
This dataset provides detailed information on air pollution measurements collected in Seoul, South Korea. It offers crucial insights into the environmental context of the city, structuring various air pollution related datasets provided by the Seoul Metropolitan Government through its 'Open Data Plaza'. The dataset's main purpose is to present average values for six key pollutants: sulphur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3), particulate matter 10 (PM10), and particulate matter 2.5 (PM2.5). These measurements were taken every hour between 2017 and 2019, covering 25 districts across Seoul, making it a valuable resource for air quality analysis and environmental studies.
Columns
While a detailed list of all 28 columns in the primary
Measurement_summary.csv file is not available, the dataset primarily consists of hourly average measurements for the six pollutants (SO2, NO2, CO, O3, PM10, PM2.5). It also includes information related to measurement stations, measurement items, and instrument status. Instrument status codes provide insights into data reliability, with classifications such as:- 0: Normal
- 1: Need for calibration
- 2: Abnormal
- 4: Power cut off
- 8: Under repair
- 9: Abnormal data The overall dataset is a condensed version compiled from separate files containing measurement info, item info, and station info.
Distribution
The dataset is primarily provided in CSV format and is divided into four main files, with
Measurement_summary.csv being the main condensed file. The size of Measurement_summary.csv is 92.71 MB, while the full version of the dataset is 217.1 MB. Data is structured to provide hourly average measurements after calibration. Specific numbers for rows or records are not available.Usage
This dataset is ideal for various applications and use cases, including:
- Learning: For educational purposes in environmental science, data analysis, or urban studies.
- Research: Conducting academic or scientific studies on urban air quality trends, the impact of pollution, or comparing air quality across different districts.
- Application Development: Creating tools, dashboards, or applications that visualise or analyse air quality in Seoul.
- Large Language Model (LLM) Fine-Tuning: Utilising the data to train or fine-tune AI models related to environmental data understanding and forecasting.
- Environmental Policy Analysis: Informing policy decisions related to air pollution control and urban planning.
Coverage
The dataset's geographic scope is limited to Seoul, South Korea, specifically covering measurements from 25 districts within the city. The time range spans from 2017 to 2019, with data collected every hour during this period. There are no specific notes on data availability for certain groups or years beyond this stated range.
License
CC BY-SA 4.0
Who Can Use It
This dataset is intended for a wide range of users, including:
- Environmental Researchers: To study air pollution patterns and their effects.
- Urban Planners: To integrate air quality considerations into city development.
- Data Scientists and Analysts: For developing predictive models or visualising environmental data.
- Students and Educators: As a practical resource for learning about environmental data analysis.
- Public Health Professionals: To assess potential health impacts of air quality.
- Developers: Interested in creating applications that leverage environmental data.
Dataset Name Suggestions
- Seoul Air Quality Monitoring Data 2017-2019
- Seoul Urban Air Pollution Levels
- South Korea Hourly Air Quality
- Seoul District Air Pollution Dataset
- Environmental Air Data Seoul
Attributes
Original Data Source: Seoul District Air Pollution Dataset
QUALITY