Data Commons Client

About

The Data Commons Client skill enables Claude to programmatically query massive datasets covering demographics, economics, health, and environmental statistics from authoritative global sources. By integrating the Data Commons Python API v2, it allows users to resolve entity identifiers, navigate geographic hierarchies, and fetch time-series observations directly into analysis-ready formats like Pandas DataFrames. This skill is essential for researchers, data scientists, and developers who need verified, structured public data for trend analysis, comparative studies, or building data-driven applications without manual data cleaning.

Key Features

• Explore the knowledge graph to discover relationships between statistical entities
• Retrieve time-series data for economic, demographic, and health indicators
• Resolve place names and coordinates to standardized Data Commons IDs (DCIDs)
• Navigate complex geographic hierarchies to query contained entities automatically
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• Convert statistical observations directly into Pandas DataFrames for seamless analysis

Use Cases

• Building automated reports that compare demographic trends between cities or counties
• Analyzing historical unemployment rates and GDP growth across different global regions
• Mapping disease prevalence or health statistics to specific geographic coordinates