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India PM2.5 Air Quality Dataset
Data Science and Analytics
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About
This dataset provides a detailed collection of hourly air quality data for India from 2017 to 2022. Air pollution represents a significant global environmental risk, with reports indicating millions of premature deaths annually. India's air pollution levels are particularly concerning. This dataset offers a granular view of fine particulate matter (PM2.5) levels, enabling a deeper understanding and monitoring of air quality across the nation, which is vital for public well-being.
Columns
- Timestamp: The exact date and time of the measurement, formatted as YYYY-MM-DD HH:MM:SS.
- Year: The year in which the air quality measurement was taken.
- Month: The month in which the air quality measurement was taken.
- Day: The day of the month when the air quality measurement was taken.
- Hour: The hour of the day when the air quality measurement was taken.
- PM2.5: The level of fine particulate matter, which is a key air pollutant, recorded in the air.
Distribution
The dataset is provided as a CSV file, named 'air-quality-india.csv', with a file size of 1.43 MB. It contains 36,192 observations of hourly PM2.5 measurements. Each column consistently has 36.2 thousand valid records, with no mismatched or missing values.
Usage
This dataset is ideal for various applications, including:
- Environmental research and analysis of air pollution trends.
- Public health studies to assess the impact of air quality on human health.
- Climate change modelling and environmental impact assessments.
- Policy development and evaluation related to air quality regulations in India.
- Data visualisation projects aiming to illustrate pollution patterns.
Coverage
The data covers the geographic scope of India. The time range spans from November 2017 to June 2022, offering a multi-year perspective on hourly air quality. The dataset does not specify coverage for particular demographic groups; it provides general hourly PM2.5 levels across India.
License
CC0: Public Domain
Who Can Use It
- Environmental Scientists: For studying pollution patterns, sources, and effects.
- Public Health Researchers: To investigate the correlation between air quality and health outcomes.
- Urban Planners: For informing decisions on urban development and infrastructure with air quality considerations.
- Data Analysts and Scientists: For building predictive models or deriving insights into environmental factors.
- Government Agencies and Policy Makers: For monitoring air quality standards and formulating effective environmental policies.
Dataset Name Suggestions
- India Hourly PM2.5 Air Quality Data 2017-2022
- Indian Air Pollution Levels: Hourly PM2.5
- Hourly Air Quality Readings for India (2017-2022)
- India PM2.5 Air Quality Dataset
Attributes
Original Data Source: India PM2.5 Air Quality Dataset
QUALITY