Daily PeKaB40 Health Screenings
Data as of 20 Nov 2024, 23:59Daily healthcare screenings conducted under the PeKaB40 program, at national level. The table provides a preview of the dataset using the most recent 2 years of data.
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How is this data produced?
This dataset is produced from the transactional database operated by Protect Health Corporation to administer the PeKaB40 program. PeKa B40 is a MoH initiative which aims to sustain the healthcare needs of low income groups by focusing on non-communicable diseases (NCDs). Recipients of government cash assistance and their spouses aged 40 and above are automatically eligible for free health screenings.
What caveats I should bear in mind when using this data?
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Publication(s) using this data
KKMNOW features a dashboard on Peka B40 where you can explore the data in a more interactive manner!
Metadata
Dataset description
Daily healthcare screenings conducted under the PeKaB40 program, at national level. The table provides a preview of the dataset using the most recent 2 years of data.
Variable definitions
- Date
- Screenings
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | Date in YYYY-MM-DD format |
screenings (Integer) | Screenings | Number of health screenings conducted on that date |
Last updated:
21 Nov 2024, 10:00
Next update:
22 Nov 2024, 10:00
Data source(s)
- ProtectHealth Corporation
- Ministry of Health Malaysia
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)
Recommended for individuals seeking an Excel-friendly format.
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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/healthcare/pekab40_screenings.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=pekab40_screenings&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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