What types of data can I query?

You can access a wide array of public datasets including population counts, GDP, unemployment rates, disease prevalence, climate data, and geographic metadata.

What is the Data Commons Client skill?

It is a specialized capability for Claude Code that provides programmatic access to the Data Commons Python API, allowing the AI to query global statistical data across various domains like economics and health.

Do I need an API key to use this skill?

Yes, for the default datacommons.org instance, an API key is required. You can obtain one at apikeys.datacommons.org and set it via the DC_API_KEY environment variable.

How does the skill handle ambiguous place names?

The skill includes a Resolve endpoint that translates place names, coordinates, or Wikidata IDs into unique Data Commons IDs (DCIDs) to ensure accurate data fetching.

Can I use Pandas with this skill?

Yes, the skill is designed to work seamlessly with Pandas. You can convert statistical observations into DataFrames for advanced analysis using methods like to_observations_as_records().

Data Commons Client

Name: Data Commons Client
Author: Yezez9

byYezez9

0•

Data Science & ML

Accesses and analyzes global public statistical data from the Data Commons knowledge graph directly within your AI workflow.

The Data Commons Client skill empowers Claude to programmatically query, explore, and analyze massive datasets from the Data Commons knowledge graph, which aggregates authoritative data from sources like the Census Bureau, WHO, and World Bank. It enables seamless retrieval of economic indicators, health statistics, and environmental data while providing specialized tools for entity resolution and geographic hierarchy navigation. This skill is ideal for research automation, data-driven reporting, and integrating real-world statistics into software development and data science workflows using Python and Pandas.

Key Features

01Navigate geographic hierarchies and knowledge graph relationships between entities

02Full integration with Pandas for immediate data manipulation and analysis

03Resolve place names, coordinates, and external IDs to Data Commons Identifiers (DCIDs)

040 GitHub stars

05Retrieve time-series statistical data for economic, health, and environmental variables

06Filter and query statistics by specific dates, hierarchies, or authoritative data sources

Use Cases

01Enriching software applications with live public statistics and indicator data

02Automating demographic and economic research for regional or global analysis

03Mapping proprietary location data to global standards via knowledge graph resolution

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent datacommons-client

For use in Claude.ai and ChatGPT

Key Features

01Navigate geographic hierarchies and knowledge graph relationships between entities

02Full integration with Pandas for immediate data manipulation and analysis

03Resolve place names, coordinates, and external IDs to Data Commons Identifiers (DCIDs)

040 GitHub stars

05Retrieve time-series statistical data for economic, health, and environmental variables

06Filter and query statistics by specific dates, hierarchies, or authoritative data sources

Use Cases

01Enriching software applications with live public statistics and indicator data

02Automating demographic and economic research for regional or global analysis

03Mapping proprietary location data to global standards via knowledge graph resolution