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datacommons-client

Query statistical observations and explore the knowledge graph via the Data Commons API.

Updated Mar 10, 2026
Search Tags:#economics#statistics#geospatial#demographics#data commons#public data
One-click install
npx skills add https://github.com/Yezez9/Research-Agent --skill datacommons-client-yezez9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: datacommons-client
Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/datacommons-client
Command: npx skills add https://github.com/Yezez9/Research-Agent --skill datacommons-client-yezez9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides programmatic access to a vast repository of public statistical data from global sources, enabling users to easily query and analyze demographic, economic, health, and environmental information.

Core Features & Use Cases

  • Statistical Data Queries: Retrieve time-series data for various entities (e.g., population, GDP, unemployment rates).
  • Knowledge Graph Exploration: Discover entity relationships, properties, and hierarchies.
  • Entity Identification: Resolve entity names, coordinates, or external IDs to Data Commons IDs (DCIDs).
  • Use Case: Analyze historical unemployment rates for the USA by querying time-series data and plotting the trends.

Quick Start

Use the datacommons-client skill to fetch the latest population data for California and Texas.

Frequently Asked Questions about datacommons-client

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve public statistical time-series data like unemployment rates or GDP?▼

You can retrieve public statistical time-series data by querying the Data Commons API to fetch historical observations for various entities, such as unemployment rates for the USA. The skill supports retrieving demographic, economic, health, and environmental information programmatically.

Can I resolve place names or coordinates to Data Commons IDs for geospatial analysis?▼

Yes, you can resolve place names, coordinates, or external IDs to Data Commons IDs (DCIDs) for geospatial analysis. This entity identification feature allows you to accurately target specific locations like California or Texas before querying their statistical data.

Does this skill integrate with Pandas for analyzing demographics and economics data?▼

Yes, the skill integrates with Pandas for data analysis, allowing you to load queried demographic and economics statistical observations directly into DataFrames. This enables you to manipulate and plot trends immediately after fetching the data.

How do I explore the knowledge graph to discover entity relationships and hierarchies?▼

To explore the knowledge graph, you use the skill to navigate entity hierarchies and discover relationships or properties within the Data Commons API. This allows you to understand how different statistical entities connect before retrieving their specific observations.

What is the best way to access public data from global sources without manual exports?▼

The best way to access public data from global sources without manual exports is using a programmatic API client like this skill to query the Data Commons directly. It enables automated retrieval of statistical observations across demographics, economics, health, and environmental domains.

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