skills.rest
sagunkayastha
sagunkayasthaCOMMUNITY
Explore all skills by this author →
GitHub

datacommons-client

Query Data Commons API for statistical time-series and entity data.

Updated Mar 15, 2026
Search Tags:#data exploration#api client#entity resolution#statistical data#data commons#public data
One-click install
npx skills add https://github.com/sagunkayastha/claude_skills_collection --skill datacommons-client-sagunkayastha
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: datacommons-client
Source: https://github.com/sagunkayastha/claude_skills_collection/tree/main/data-analysis-visualization/datacommons-client
Command: npx skills add https://github.com/sagunkayastha/claude_skills_collection --skill datacommons-client-sagunkayastha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires datacommons-client, and 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, simplifying the retrieval and analysis of demographic, economic, health, and environmental information.

Core Features & Use Cases

  • Statistical Data Queries: Retrieve time-series data for entities, query by hierarchy, and compare statistics across multiple entities.
  • Knowledge Graph Exploration: Discover entity relationships, navigate geographic hierarchies, and retrieve entity metadata.
  • Entity Identification: Resolve entity names, coordinates, or external IDs to Data Commons IDs (DCIDs) for seamless querying.
  • Use Case: Analyze historical unemployment rates for the US by querying the Data Commons API and visualizing the trend using Pandas and Matplotlib.

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 query public statistical data from global sources using an API client?▼

You can query public statistical data using the Data Commons API to retrieve time-series data, explore knowledge graphs, and resolve entity identifiers for demographic, economic, health, and environmental datasets programmatically.

How do I resolve entity names or coordinates to identifiers for statistical data queries?▼

Entity resolution maps entity names, geographic coordinates, or external IDs to Data Commons IDs (DCIDs), enabling seamless querying across demographic and economic time-series datasets.

Can I use Pandas to analyze and visualize time-series data retrieved from the Data Commons API?▼

Yes, retrieved public statistical data supports Python integration with Pandas, allowing you to analyze and visualize demographic or economic trends directly within your existing data analysis workflow.

What is the best way to compare demographic statistics across multiple geographic entities?▼

The best way to compare demographic statistics is by querying the Data Commons API by hierarchy, which allows you to retrieve and compare time-series data across multiple geographic entities simultaneously.

How do I navigate geographic hierarchies and discover entity relationships in public statistical data?▼

You can navigate geographic hierarchies and discover entity relationships by exploring the Data Commons knowledge graph, which provides structured metadata and connections between global statistical entities.

Related Skills

Explore More Data & Analytics Skills→
robotlearning123robotlearning123

datacommons-client

Query Data Commons API v2 for statistical observations and entity identifiers.

Community
Advanced
SunS1eep1ngSunS1eep1ng

csv-data-summarizer

Analyze CSV files and generate statistical summaries with visualizations.

Community
Intermediate
yangqiongyangqiong

Report Generator Skill

Generate HTML data reports from pandas DataFrames with summaries and analyses.

Community
Intermediate
AlterLab-IEUAlterLab-IEU
58

alterlab-datacommons

Resolve place names to Data Commons DCIDs and fetch statistical observations via Python API.

Community
Advanced