Daily Blood Donations by Blood Group

Data as of 15 Nov 2024, 23:59

Daily blood donations at national level for each of the 4 major blood groups. The table provides a preview of the dataset using the most recent 2 years of data.

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Table

Daily Donations

How is this data produced?

This dataset is produced from transactional data recorded in the Blood Bank Information System (BBISv2), a vein-to-vein blood-tracking system used by 22 main blood collection sites under MoH which covers the majority of blood donations in Malaysia.

What caveats I should bear in mind when using this data?

The true number of daily blood donations is higher than the number recorded in this dataset, which does not reflect donations made at locations other than the 22 main sites integrated with BBISv2. However, the 22 main sites cover the large majority of blood donations in Malaysia (~80%), and therefore provide a representative view of blood donation trends.

Publication(s) using this data

KKMNOW features a dashboard on blood donation where you can explore the data in a more interactive manner!

Metadata

Dataset description

Daily blood donations at national level for each of the 4 major blood groups. The table provides a preview of the dataset using the most recent 2 years of data.

Variable definitions
  • Date
  • Blood Type
  • Blood Donations
Last updated:

16 Nov 2024, 10:00

Next update:

17 Nov 2024, 10:00

Data source(s)
  • National Blood Centre
  • Ministry of Health Malaysia
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)

Full Dataset (CSV)

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Full Dataset (Parquet)

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/blood_donations.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=blood_donations&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)
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Ministry of Health Malaysia

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