Daily blood donations at state level for each of the 4 major blood groups. The table provides a preview of the dataset using the most recent year of data.
0 viewsΒ·0 downloads
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.
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. Furthermore, it should be noted that:
KKMNOW features a dashboard on blood donation where you can explore the data in a more interactive manner!
Daily blood donations at state level for each of the 4 major blood groups. The table provides a preview of the dataset using the most recent year of data.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | Date in YYYY-MM-DD format |
state (Categorical) | State | One of 13 states - data for Perlis and W.P. Labuan is not available for now, while data for W.P. Putrajaya is recorded under W.P. Kuala Lumpur. |
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. |
06 Dec 2024, 10:00
07 Dec 2024, 10:00
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.
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
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_state.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
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_state&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
Β© 2024 Ministry of Health Malaysia