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Simon Willison Shares Coding Agents Workshop Handout for Data Journalists

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Simon Willison, creator of Datasette, published the handout from his three-hour "Coding agents for data analysis" workshop at NICAR 2026, the data journalism conference. The guide covers eight modules: querying a SQLite database with natural language, exploring FEC campaign finance data, cleaning data by decoding neighborhood codes, creating Python and JavaScript visualizations, and scraping with browser automation. The workshop ran on GitHub Codespaces with OpenAI Codex — attendees burned $23 of tokens.

Coding agents like Claude Code and Codex are marketed primarily at developers, but this handout makes the case they're equally applicable to data journalists, researchers, and analysts. Willison designed it for people who weren't at NICAR — the material transfers directly to any data exploration workflow.

Work through the modules on your own dataset — exercises use Python, SQLite, and Datasette, a data publishing tool, for exploration and visualization. The scraping section covers browser automation for data extraction.

View the full update on simonw.github.io
Simon Willison
Simon Willison
@simonw
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Here's the handout for a three hour workshop I presented at the NICAR data journalism conference on using coding agents (Codex CLI, Claude Code etc) for data exploration, visualization and analysis https://t.co/zriTHBGiOP

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