AI for Data Visualisation
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AI for Data Visualisation

How to use LLMs to help you visualise your data

About the Book

AI for Data Visualisation is a practical guide on using large language models (LLMs) to explore, transform and visualise your data.

It shows how you can use simple prompts to:

  • analyse data (summary counts, filtering, visual exploration)
  • create charts such as zoomable treemaps, small multiples, maps and simple dashboards
  • get chart recommendations given some data
  • transform data (filtering, derived columns, pivoting, cleaning and format conversion)

In many cases ChatGPT is used to produce Python code and this books shows how to run the code locally and keep your data private.

This book is not a full tutorial, rather a collection of examples that provide ideas and inspiration for how you can use LLMs to enhance your data visualisation process.

About the Author

Peter Cook
Peter Cook

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.

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