- 1. Introduction
- 2. Data Visualisation and JavaScript
- 3. Make a Chart with Chart.js
- 4. Styling and Customising Chart.js
- 5. Custom Charts with D3.js
- 6. Data-driven Maps with Leaflet
- 7. Data Stories
- Appendix A: Creating a project with Vite
- Appendix B: getMultiSeriesChartData
- Appendix C: Data Wrangling
- Appendix D: Exercise hints and solution ideas
Visualising Data with JavaScript
Learn how to build charts, maps and data stories using Chart.js, Leaflet and D3.
Visualising Data with JavaScript is an introduction to using JavaScript to visualise data.
Learn how to build charts using Chart.js, data-driven maps using Leaflet and a custom chart using D3.js. You'll also learn how to make a data story that combine multiple charts and maps.
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Visualising Data with JavaScript is an introduction to using JavaScript to visualise data.
Learn how to build charts using Chart.js, data-driven maps using Leaflet and a custom chart using D3.js. You'll also learn how to make a data story that combine multiple charts and maps.
About
About the Book
Visualising Data with JavaScript shows how to build maps, charts and data stories using JavaScript.
Learn how to build charts using Chart.js, data-driven maps using Leaflet and a custom chart using D3.js. You'll also learn how to make a data story that combines multiple charts and maps.
There's a code download containing eight examples, including multiple Chart.js examples, a data-driven Leaflet map, a D3 custom visualisation, a data story and a data-wrangling example.
Some of the topics covered are:
- creating a web application with JavaScript
- the Vite build tool
- making a chart with Chart.js
- using Tidy.js to process data
- styling Chart.js charts, including dark theme, multi-line charts and stacked bar charts
- introduction to D3.js
- example custom visualisation using D3.js
- how to add a tooltip to a D3.js visualisation using Tippy.js
- introduction to Leaflet for creating maps
- how to make a data-driven map with Leaflet
- how to make a data-story
- an example data-story containing 4 charts, a map and detailed styling
- how to publish the data story onto the web
- how to transform the data from the UK Government into a JSON file
Some of the chapters include exercises and solutions.
To get the most out of this book you need to be familiar with HTML, SVG, CSS and JavaScript. If you need to get up to speed with these languages I recommend my book Fundamentals of HTML, CSS, SVG & JavaScript for Data Visualisation. I've bundled both books together at a reduced cost (visit bundle).
You also need a text editor (such as VS Code) and an installation of Node.js.
This book uses ES Modules and modern build-tools throughout so you'll learn about current technologies.
I've also published Data Dashboards with JavaScript which contains more advanced material. It shares some chapters with this book but doesn't cover D3 or data stories. Instead it has two chapters on building data dashboards.
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Author
About the Author
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.

Episode 230
An Interview with Peter Cook
Contents
Table of Contents
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