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How to use Data Commons
    What is Data Commons?
    Key concepts and common tasks
    Glossary
    Place types
    Get support
Data coverage
API - Query data programmatically
    Python (V2)
      Tutorials
      Get statistical observations
      Get statistical observations as Pandas DataFrames
      Get node properties
      Resolve entities
      Migrate from V1 to V2
    REST (V2)
      Get statistical observations
      Get node properties
      Resolve entities
      Troubleshooting
      Migrate from V1 to V2
    Python (V1)
    MCP - Query data interactively with an AI agent
      Use MCP tools
      Run an MCP Server
    Analyze data with Google Sheets
      Tutorials
      Get names associated with DCIDs
      Get places contained in another place
      Get statistical variable values
      Get node property values
    Embed data and visualizations in your own website
      Bar chart
      Gauge chart
      Highlight tile
      Line chart
      Map chart
      Pie chart
      Ranking chart
      Scatter plot
      Slider control
    Query with SQL/BigQuery
      Query places
      Query observations and properties of places
      More complex queries
      Join with external data
    Contribute to Data Commons
    Build your own Data Commons
      Quickstart
      Prepare and load your own data
      Define custom entities
      Data config file reference
      Configure the MCP server
      Customize the site
      Build and run images
      Deploy to Google Cloud
      Launch your Data Commons
      Advanced (hybrid) setups
      Troubleshooting
      Frequently asked questions
    Additional resources
      Papers
      Educational materials
        Data literacy with Data Commons
        • How to use the course materials
        • Key themes
        • Modules
        Introduction to data science
    • Papers

    • Educational materials

    Page last updated: May 01, 2026 • Send feedback about this page

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