Data Commons

Data Commons public data platform data visualization

Data Commons offers a unified platform for exploring and analyzing global public data, simplifying research and decision-making for analysts, researchers, and policymakers.

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Author:LoRA

Inclusion Time:08 Feb 2025

Visits:3963

Pricing Model:Free

Introduction

What is Data Commons?

Data Commons is a powerful public data platform initiated by Google. It integrates global public data into a unified knowledge graph, making it easier for users to explore and analyze data. Supported by various data sources and equipped with rich visualization tools and APIs, Data Commons helps users access and analyze data without complex preprocessing. It encourages community contributions, allowing users to share their analyses and insights.

Data Commons is ideal for researchers, data analysts, policymakers, and anyone needing public data to support decision-making. Its free access model reduces barriers to using data, promoting wider dissemination and application of information.

Use Cases

UN Sustainable Development Goals Platform: The United Nations uses Data Commons to track progress on global sustainable development goals.

Economic Research: Researchers can analyze economic data from different countries to study trends.

Education Assessment: Educational institutions use Data Commons to evaluate education levels and resource distribution across regions.

Key Features

Knowledge Graph Browser: Explore the structure and relationships within the data.

Data Download: Download statistical variable data to your local machine.

Map Explorer: Investigate changes in statistical variables across different geographic areas.

Scatter Plot Explorer: Visualize the correlation between two statistical variables.

Timeline Explorer: Track the trend changes of selected statistical variables over time.

Getting Started

1. Visit the Data Commons website and select a data theme such as economics, population, or health.

2. Use the knowledge graph browser to understand data structures and relationships.

3. Choose the right tool like Map Explorer, Scatter Plot Explorer, or Timeline Explorer for your analysis.

4. If needed, download the data for further analysis using the data download feature.

5. Refer to official documentation and tutorials to learn how to use APIs for programmatic data access and analysis.

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