Published April 12, 2020
| Version 1.01
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shiny-data-scientist/webscrap_pract_1: air_contamination_spain_dataset
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Description
This data provides values of the Air Quality Index (AQI) for the most populated city in each Spanish autonomous community since 2019. The compounds selected to evaluate AQI are PM10, O3, and NO2. This dataset is oriented to people that want to evaluate quarantine effects on air pollution during a COVID-19 disease outbreak. For this reason, a table with notified cases of the disease to the Public Administration at an autonomous community-scale is also supplied with the aim of providing a framework of disease evolution.
The air_contamination.csv dataset contains 9 variables:
- timestamp: date in format: yyyy/mm/dd
- ca: autonomous community (text)
- ciudad: city (text)
- pm10: AQI value of pm10 particle (number)
- pm10_level: Air quality base on pm10 particles (text)
- o3: AQI value of o3 particle (number)
- o3_level: Air quality based on o3 particles (text)
- no2: AQI value of no2 particle (number)
- no2_level: Air quality based on no2 particles (text)
The casos_covid19.csv dataset contains 4 variables:
- comunidad: autonomous community (text)
- casos: Cases notified by Ministerio de Sanidad/Healthcare minister (text)
- casos_notificados: Cases notified by RENAVE (Red Nacional de Vigilancia Epidemiológica) a través de la plataforma SiVIES.
- datetime: datetime in format yyyy/mm/dd
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shiny-data-scientist/webscrap_pract_1-1.01.zip
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Related works
- Is supplement to
- https://github.com/shiny-data-scientist/webscrap_pract_1/tree/1.01 (URL)