Daily Blood Donations by Blood Group
Data as of 20 Nov 2024, 23:59Daily 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.
0 views·0 downloads
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
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | Date in YYYY-MM-DD format |
blood_type (Categorical) | Blood Type | One of 4 major blood groups (A, B, AB, O) or all groups ('all') |
donations (Integer) | Blood Donations | Number of blood donation transactions on that date. |
Last updated:
21 Nov 2024, 10:00
Next update:
22 Nov 2024, 10:00
Data source(s)
- National Blood Centre
- 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.
Download
Data
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
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)
© 2024 Public Sector Open Data