Data Commons Client

About

Empowers users to query and analyze vast amounts of public data from authoritative sources like census bureaus, health organizations, and environmental agencies through a unified interface. This skill simplifies complex data retrieval tasks by providing specialized tools for resolving entity identifiers, exploring geographic hierarchies, and accessing time-series statistical observations. With seamless Pandas integration and support for resolving place names to unique Data Commons IDs, it streamlines the workflow for researchers and developers building data-driven applications or performing scientific analysis.

Key Features

• Retrieve time-series statistical data for demographics, health, and economic indicators
• 2,066 GitHub stars
• Explore the knowledge graph to discover available properties and entity relationships
• Navigate geographic hierarchies to query data across states, counties, or regions
• Convert statistical query results into Pandas DataFrames for immediate analysis
• Resolve place names, coordinates, and Wikidata IDs into unique Data Commons identifiers

Use Cases

• Comparing economic or health statistics across different geographic regions and time periods
• Resolving ambiguous location names into standardized identifiers for data consistency
• Automating the collection of public datasets for scientific research or policy analysis