Air Pollution Dataset
In-depth air quality measurements across different locations
@kaggle.sahirmaharajj_air_pollution_dataset
In-depth air quality measurements across different locations
@kaggle.sahirmaharajj_air_pollution_dataset
Air pollution is one of the most important environmental threats to urban populations and while all people are exposed, pollutant emissions, levels of exposure, and population vulnerability vary across neighborhoods.
This dataset contains information on New York City air quality surveillance data.
It provides a detailed account of various air quality measurements across different geographic locations and time periods. The inclusion of specific air quality indicators, such as Nitrogen dioxide (NO2), along with their measured values, geographical details, and temporal context, enables a multifaceted analysis of air quality trends, regional environmental health, and the efficacy of pollution control measures over time.
For data scientists, environmental analysts, and public health researchers, this dataset is valuable for conducting spatial-temporal analyses of air quality and its impacts on human health and the environment. It supports a range of data science applications, including:
CREATE TABLE air_quality (
"unique_id" BIGINT,
"indicator_id" BIGINT,
"name" VARCHAR,
"measure" VARCHAR,
"measure_info" VARCHAR,
"geo_type_name" VARCHAR,
"geo_join_id" BIGINT,
"geo_place_name" VARCHAR,
"time_period" VARCHAR,
"start_date" TIMESTAMP,
"data_value" DOUBLE,
"message" VARCHAR
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