Introduction

An overview of Queria and its main features

Queria is a service that publishes data as a database, not as files or an API. You can work with open data straight from the browser, Python, a BI tool or an AI agent using SQL — no download, no conversion.

What you can do

• Search and browse datasets: find datasets by keyword or with filters → Explore datasets
• Inspect table details: column information, statistical profiling, and lineage → View table details
• Run SQL queries: DuckDB WASM runs inside your browser, so queries execute without sending data to a server
• Connect from external tools: access the same data from the DuckDB CLI or Python → Connection guide

Try it first

1. Open the dataset list
2. Click “e-Stat 統計データ” (e-Stat statistics)
3. Select the table a_pref_population (population and households by prefecture)
4. Check the data in the “Preview” tab. Edit the SQL editor and run with Cmd+Enter. You can aggregate metrics such as total population and in-migration by prefecture and fiscal year

Next steps

• Concept: the problems Queria wants to solve and what it values
• Explore datasets: how to search, filter, and switch views
• View table details: reading the statistics tab and lineage
• Get started with the CLI: from installing the Queria CLI to your first query
• Connection guide: connecting from the DuckDB CLI or Python
• How it works: the data management and delivery architecture
• Queria skill: explore and analyze data in natural language from agents like Claude Code
• FAQ: Q&A on where the data comes from and terms of use
• About Queria: project background and operations