observable-framework-sql

You can query CSV and Parquet files in Observable Framework by writing SQL queries in Markdown code blocks or tagged template literals. An integrated DuckDB client executes these SQL queries directly in the browser to return data.

Yes, you can use the integrated DuckDB client to query JSON and Apache Arrow files in Observable Framework. The SQL querying functionality supports these local and remote data sources for direct browser-based analysis.

To visualize SQL query results with Observable Plot, you execute SQL queries against your data sources using the integrated DuckDB client, then pass the resulting data directly into Observable Plot for dynamic visualizations.

The best way to analyze large datasets client-side in Observable Framework is using SQL queries with the integrated DuckDB client. It efficiently filters and aggregates large files like Apache Parquet directly within the browser.

No, you do not need a separate database server to run SQL queries in Observable Framework. The Skill uses an integrated DuckDB client to execute SQL directly in the browser against local or remote files.

Yes, you can use dynamic SQL queries in Markdown files with Observable Framework. The Skill supports SQL code blocks and tagged template literals for dynamic data manipulation and analysis.