How does entity resolution work?

The skill includes a 'resolve' endpoint that translates common place names, Wikidata IDs, or latitude/longitude coordinates into unique Data Commons IDs (DCIDs).

Is it possible to query multiple variables at once?

Yes, you can pass a list of multiple variable DCIDs and entity DCIDs to the fetch method to compare different metrics across various locations simultaneously.

Does this skill require an API key?

Yes, standard usage via datacommons.org requires a free API key which can be requested at apikeys.datacommons.org and set as an environment variable.

Can I use this data with Pandas in Python?

Absolutely. The skill is designed with Pandas support, allowing you to convert any statistical observation response directly into a DataFrame for analysis.

What kind of data can I access with this skill?

You can access a vast array of public data including population statistics, GDP, unemployment rates, health prevalence, climate data, and education metrics from global authoritative sources.

Data Commons Client

Name: Data Commons Client
Author: sanand0

bysanand0

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Data Science & ML

Accesses and analyzes global public statistical data from authoritative sources via the Data Commons knowledge graph.

The Data Commons Client skill empowers Claude to programmatically interact with a massive unified knowledge graph containing over 100 billion data points. By providing seamless access to the Data Commons Python API, it allows users to resolve entity IDs, explore complex geographic hierarchies, and retrieve time-series observations across sectors like economics, demographics, health, and the environment. It is an essential tool for data scientists and researchers who need to integrate verified public data from sources like the US Census, WHO, and World Bank directly into their development and analysis workflows.

Key Features

01Statistical data retrieval for time-series and trend analysis

02Hierarchical querying to pull data for all sub-entities (e.g., all counties in a state)

03Knowledge graph exploration to discover entity properties and relations

04Geographic entity resolution for mapping names and coordinates to DCIDs

05Built-in Pandas integration for immediate data manipulation and CSV export

063 GitHub stars

Use Cases

01Automating the collection of demographic and economic indicators for research reports

02Resolving ambiguous place names into structured data identifiers for database enrichment

03Analyzing historical public health trends across diverse geographic regions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sanand0/scientific-research datacommons-client

For use in Claude.ai and ChatGPT

Download Skill