Daily Organ Donation Pledges
Data as of 06 Sept 2024, 23:59Daily organ donation pledges 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 transacional records of organ pledges kept by the National Transplant Resource Centre. Although Organ Donor Pledge registrations have been conducted since 1997, data prior to 2009 has been dropped due to data cleanliness issues preventing reliable digitisation. Accordingly, this dataset is a consolidation of:
- Manually compiled transactional records manually collected from 2009 to 5 September 2022.
- Transactional records collected via MySejahtera from 6 September 2022 onwards, after which the organ pledging process was fully digitalised.
What caveats I should bear in mind when using this data?
The digital organ donation pledge process allows an individual to pledge their organs, and subsequently withdraw their pledge if they so choose. Therefore, the data shown here is dynamic; the number of pledges for a specific date may reduce (but not increase) in future if pledges are withdrawn.
Publication(s) using this data
KKMNOW features a dashboard on Organ Donation where you can explore the data in a more interactive manner!
Metadata
Dataset description
Daily organ donation pledges at national level. The table provides a preview of the dataset using the most recent 2 years of data.
Variable definitions
- Date
- Number of Pledges
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | Date in YYYY-MM-DD format |
pledges (Integer) | Number of Pledges | Number of pledges received on that date |
Last updated:
07 Sept 2024, 10:00
Next update:
08 Sept 2024, 10:00
Data source(s)
- NTRC
- MOH
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/organ_pledges.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=organ_pledges&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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