Data.gov.uk provides datasets from UK central and local government covering crime, transport, planning, health, and environment. Used in data engineering for public sector analytics, policy research pipelines, geospatial visualisation, and building civic technology applications in Python.
The UK data.gov.uk portal supports CKAN API access. Engineers use `requests` against the CKAN API endpoint to search datasets, retrieve package details, and download resource files. Many datasets are available as CSV or GeoJSON for direct ingestion with pandas or geopandas.
UK Open Data enables AI applications for UK civic tech, health service analysis, and policy research. Build RAG systems indexed on NHS data, transport statistics, and census records so LLMs can answer UK-specific questions with official data. The geospatial datasets power location-aware AI for UK applications.
# pip install requests pandas
import requests, pandas as pd
# Search data.gov.uk CKAN API
resp = requests.get("https://data.gov.uk/api/3/action/package_search",
params={"q": "road accidents", "rows": 5})
datasets = resp.json()["result"]["results"]
for ds in datasets:
print(ds["title"], "-", ds["organization"]["title"])Official dataset source
More datasets used by Python data engineers.
Data.gov hosts 300,000+ datasets from US federal agencies covering health, education, environment, agriculture, finance, and transportation. Used in data engineering for government analytics pipelines, public health research, geospatial analysis, and building civic data applications with Python.
The FEC provides access to campaign finance data, including information on political contributions, campaign expenditures, fundraising activities and financial disclosures filed by political candidates, parties and committees in the United States.
The US Federal Aviation Administration publishes datasets on aircraft registrations, pilot certifications, airport data, accident reports, and air traffic statistics. Used in data engineering for aviation analytics pipelines, safety analysis systems, and building aeronautical intelligence dashboards in Python.