datacommons-client

Query global statistical time-series data via the Data Commons API.

2|Updated Feb 2, 2026

Search Tags:#knowledge graph #time series #data access #statistics #entity resolution #public data

Ready to run

npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill datacommons-client-weiwei-mao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: datacommons-client
Source: https://github.com/Weiwei-Mao/hydrology-skills/tree/main/hydrology-skills/datacommons-client
Command: npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill datacommons-client-weiwei-mao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides programmatic access to a vast repository of global public statistical data, eliminating the need for manual data collection from disparate sources.

Core Features & Use Cases

Query Statistical Data: Retrieve time-series data for population, economic indicators, health statistics, and environmental data.
Explore Knowledge Graph: Navigate entity relationships and properties within the Data Commons knowledge graph.
Entity Resolution: Translate entity names, coordinates, or external IDs into Data Commons IDs (DCIDs).
Use Case: Analyze historical unemployment rates for the USA by querying the Data Commons API for time-series data and then plotting it using Pandas.

Quick Start

Use the datacommons-client skill to get 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 access global public statistical data programmatically?▼

You can access global public statistical data programmatically by querying the Data Commons API to retrieve demographic, economic, health, and environmental time-series data.

How do I resolve entity names to identifiers in a knowledge graph?▼

Entity resolution translates entity names, coordinates, or external IDs into Data Commons IDs (DCIDs) to navigate relationships and properties within the knowledge graph.

Can I use Python Pandas to analyze time-series data from Data Commons?▼

Yes, the datacommons-client supports Python integration with Pandas for data analysis and visualization of time-series data retrieved from the Data Commons API.

What is the best way to query historical economic indicators for a specific country?▼

The best way to query historical economic indicators is by using the Data Commons API to retrieve time-series data for the specific country and then plotting it using Pandas.

Does the datacommons-client require manual data collection from disparate sources?▼

No, the datacommons-client eliminates the need for manual data collection from disparate sources by providing direct programmatic access to a vast repository of global public statistical data.

What types of statistics can I retrieve using the Data Commons API?▼

You can retrieve time-series data for population, economic indicators, health statistics, and environmental data using the Data Commons API.