Total views and downloads of datasets on data.gov.my, disaggregated by dataset.
0 views·0 downloads
This data is aggregated from transactional records produced by web analytics tools which monitor user interactions across the data.gov.my platform in real time. The data does not contain any personally identifiable information, as there is no component of data.gov.my which requires an authenticated login to access.
This dataset is updated on a daily basis, shortly after midnight. As such, there may be mild discrepancies between the counts provided in this dataset, relative to the realtime counts shown on each catalogue page.
Total views and downloads of datasets on data.gov.my, disaggregated by dataset.
Name in Dataset | Variable | Definition |
|---|---|---|
id (String) | Dataset ID | Unique dataset identifier, used as part of the URL for the dataset's catalogue entry |
title_en (String) | Title (EN) | Dataset title in English |
title_bm (String) | Title (BM) | Dataset title in Malay |
views (Integer) | Views | Number of times the dataset's catalogue entry was accessed via data.gov.my |
download_csv (Integer) | Download CSV | Number of times this dataset was downloaded in CSV format |
download_parquet (Integer) | Download Parquet | Number of times this dataset was downloaded in Parquet format |
download_svg (Integer) | Download SVG | Number of times an associated data visualisation was downloaded in SVG format |
download_png (Integer) | Download PNG | Number of times an associated data visualisation was downloaded in PNG format |
15 Jan 2026, 00:02
16 Jan 2026, 00:10
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/metrics/metrics_dataset_cumul.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=metrics_dataset_cumul&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)© 2026 Public Sector Open Data