D3.js in Action: Data visualization with JavaScript
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Language: English
Published by Manning Publications, 2017
Series: Book 106 of 182 - In Action
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- Title
- D3.js in Action: Data visualization with JavaScript
- Author
- Meeks, Elijah
- Publisher
- Manning Publications
- Publication year
- 2017
- Condition
- Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1617294489
- ISBN 13
- 9781617294488
- Edition
- 2nd Edition
- Series
- Book 106 of 182: In Action
Summary
D3.js in Action, Second Edition is completely revised and updated for D3 v4 and ES6. It's a practical tutorial for creating interactive graphics and data-driven applications using D3.
About the Technology
Visualizing complex data is hard. Visualizing complex data on the web is darn near impossible without D3.js. D3 is a JavaScript library that provides a simple but powerful data visualization API over HTML, CSS, and SVG. Start with a structure, dataset, or algorithm; mix in D3; and you can programmatically generate static, animated, or interactive images that scale to any screen or browser. It's easy, and after a little practice, you'll be blown away by how beautiful your results can be!
About the Book
D3.js in Action, Second Edition is a completely updated revision of Manning's bestselling guide to data visualization with D3. You'll explore dozens of real-world examples, including force and network diagrams, workflow illustrations, geospatial constructions, and more. Along the way, you'll pick up best practices for building interactive graphics, animations, and live data representations. You'll also step through a fully interactive application created with D3 and React.
What's Inside
About the Reader
Suitable for web developers with HTML, CSS, and JavaScript skills. No specialized data science skills required.
About the Author
Elijah Meeks is a senior data visualization engineer at Netflix.
Table of Contents
D3.js in Action, Second Edition is completely revised and updated for D3 v4 and ES6. It's a practical tutorial for creating interactive graphics and data-driven applications using D3.
About the Technology
Visualizing complex data is hard. Visualizing complex data on the web is darn near impossible without D3.js. D3 is a JavaScript library that provides a simple but powerful data visualization API over HTML, CSS, and SVG. Start with a structure, dataset, or algorithm; mix in D3; and you can programmatically generate static, animated, or interactive images that scale to any screen or browser. It's easy, and after a little practice, you'll be blown away by how beautiful your results can be!
About the Book
D3.js in Action, Second Edition is a completely updated revision of Manning's bestselling guide to data visualization with D3. You'll explore dozens of real-world examples, including force and network diagrams, workflow illustrations, geospatial constructions, and more. Along the way, you'll pick up best practices for building interactive graphics, animations, and live data representations. You'll also step through a fully interactive application created with D3 and React.
What's Inside
- Updated for D3 v4 and ES6
- Reusable layouts and components
- Geospatial data visualizations
- Mixed-mode rendering
About the Reader
Suitable for web developers with HTML, CSS, and JavaScript skills. No specialized data science skills required.
About the Author
Elijah Meeks is a senior data visualization engineer at Netflix.
Table of Contents
-
PART 1 - D3.JS FUNDAMENTALS
- An introduction to D3.js
- Information visualization data flow
- Data-driven design and interaction
- Chart components
- Layouts PART 2 - COMPLEX DATA VISUALIZATION
- Hierarchical visualization
- Network visualization
- Geospatial information visualization PART 3 - ADVANCED TECHNIQUES
- Interactive applications with React and D3
- Writing layouts and components
- Mixed mode rendering
"Synopsis" may belong to another edition of this title.
About the Author
Elijah Meeks is a co-founder and Chief Innovation Officer of Noteable, a startup focused on evolving how we analyze and communicate data. He is known for his pioneering work while at Stanford, where he was the technical lead for acclaimed works like ORBIS and Kindred Britain, as well as being Netflix's first Senior Data Visualization Engineer.
"About the title" may belong to another edition of this title.
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