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About the Book
AI for Data Visualisation is a practical guide to using large language models (LLMs) such as ChatGPT to explore, transform, and visualise data. It’s written for anyone who works with data — from analysts and developers to designers and communicators — and shows how natural language prompts can replace hours of manual coding or point-and-click wrangling. Rather than focusing on theory, the book is built around real examples, drawn from publicly available datasets, with step-by-step prompts and the resulting charts, maps, and dashboards.
The aim is to demonstrate how LLMs can speed up common data tasks — from cleaning and filtering through to chart generation and even recommending the best visualisation for a given audience. Along the way, you’ll learn prompt-crafting strategies, ways to maintain data privacy, and how to run AI-generated code locally.
This is not a strict tutorial but a collection of worked examples and ideas you can adapt to your own projects. By the end, you’ll have a toolkit of techniques for harnessing AI as a creative, time-saving partner in your data visualisation workflow — and perhaps a few ideas you wouldn’t have thought to try on your own.
About the Author
Peter Cook has built data visualisations for Carbon Tracker, London Datastore and McGraw Hill Education. He currently works as a senior visualisation developer at Flourish and also writes about the how-to of data visualisation for Create With Data.
He's run training courses for clients such as the BBC and The Economist and written data visualisation tutorials for Flowing Data and Creative Bloq. He created D3 in Depth and Create With Data.
He's the author of four books: Visualising Data with JavaScript, Data Dashboards with JavaScript, D3 Start to Finish and Fundamentals of HTML, CSS, SVG & JavaScript for Data Visualisation.