Do I need an API key to use this skill?

Yes, for the default datacommons.org instance, you need an API key which can be obtained at apikeys.datacommons.org and set as the DC_API_KEY environment variable.

What is Data Commons?

Data Commons is an open-source project that aggregates data from global authoritative sources like the US Census and World Bank into a single unified knowledge graph.

Does this skill handle geographic entity resolution?

Absolutely. It can resolve place names, geographic coordinates, and Wikidata IDs into standard Data Commons IDs (DCIDs) for accurate querying.

Can I export data directly to Pandas DataFrames?

Yes, the skill is designed with built-in Pandas support, allowing you to convert statistical observations into DataFrames for immediate analysis.

How do I find specific statistical variables like GDP or population?

The skill includes discovery methods like 'fetch_available_statistical_variables' and provides common patterns for variables like Count_Person and UnemploymentRate_Person.

Data Commons Client

Name: Data Commons Client
Author: Weiwei-Mao

byWeiwei-Mao

0•

Data Science & ML

Provides programmatic access to global statistical data for demographic, economic, and environmental research.

The Data Commons Client skill enables Claude to query a massive, unified knowledge graph aggregating data from authoritative sources like the World Bank, US Census, and WHO. It simplifies the process of resolving geographic entities, navigating hierarchical relationships, and retrieving time-series observations directly into analysis-ready formats like Pandas DataFrames. This tool is essential for researchers and developers building data-driven applications that require reliable public statistics without the overhead of manual scraping or multi-source integration.

Key Features

01Seamless entity resolution for place names, coordinates, and Wikidata IDs

02Hierarchical data retrieval for regions, countries, states, and counties

03Programmatic access to the Data Commons Knowledge Graph API v2

040 GitHub stars

05Advanced statistical observation querying for historical time-series data

06Direct integration with Pandas for immediate data analysis and manipulation

Use Cases

01Tracking environmental trends and climate data over historical periods

02Correlating public health statistics with demographic indicators for research

03Comparative economic analysis across different geographic regions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add weiwei-mao/hydrology-skills datacommons-client

For use in Claude.ai and ChatGPT

Download Skill