datacommons-client

原文涵盖的主题

• Data Commons Client
• Overview
• Installation
• Core Capabilities
• 1. Observation Endpoint - Statistical Data Queries
• 2. Node Endpoint - Knowledge Graph Exploration
• 3. Resolve Endpoint - Entity Identification
• Typical Workflow

Provides comprehensive access to the Data Commons Python API v2 for querying statistical observations, exploring the knowledge graph, and resolving entity identifiers. Data Commons aggregates data from census bureaus, health organizations, environmental agencies, and other authoritative sources into a unified knowledge graph. Install the Data Commons Python client with Pandas support: For basic usage without Pandas: The Data Commons API consists of three main endpoints, each detailed in dedicated reference files: Query time-series statistical data for entities. See references/observation.md for comprehensive documentation. Primary use cases: Retrieve population, economic, health, or environmental statistics Access historical time-series data for trend analysis Query data for hierarchies (all counties in a state, all countries in a region) Compare statistics across multiple entities Filter by data source for consistency Common patterns: Explore entity relationships and properties within the knowledge graph. See references/node.md for comprehensive documentation. Primary use cases: Discover available properties for entities Navigate geographic hierarchies (parent/child relationships)

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