Monthly Air Pollution
Data as of 31 Dec 2022, 23:59Average monthly concentration of key air pollutants.
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How is this data produced?
This dataset presents monthly concentrations of various air pollutants, including carbon monoxide (CO), nitrogen dioxide (NO²), ozone (O³), particulate matter (PM₁₀, PM₂.₅), and sulfur dioxide (SO²). The data is tabulated from hourly observational data collected from monitoring stations across Malaysia.
What caveats I should bear in mind when using this data?
A small minority of values in 2017 are null due to inavailability of data.
Publication(s) using this data
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Metadata
Dataset description
Average monthly concentration of key air pollutants.
Variable definitions
- Date
- Pollutant
- Concentration
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 as the data is at monthly frequency. |
pollutant (Categorical) | Pollutant | The type of air pollutant ('CO', 'NO²', 'O³', 'PM₁₀', 'PM₂.₅', 'SO²'). |
concentration (Float) | Concentration | The concentration of the pollutant in parts per million (ppm) or micrograms per cubic meter (µg/m³). All pollutants are measured in ppm except for PM₁₀ and PM₂.₅, which are measured in µg/m³. |
Last updated:
27 Nov 2023, 12:00
Next update:
27 Nov 2024, 12:00
Data source(s)
- JAS
- DOSM
URLs to dataset
License
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
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Data
Full Dataset (CSV)
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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Code
Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.data.gov.my/environment/air_pollution.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=air_pollution&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
Department of Statistics Malaysia
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