D3.js in Action, Third Edition (MEAP V13)

In D3.js in Action, Third Edition you will learn how to
Set up a local development environment for D3
Include D3 in web development projects, including Node-based web apps
Select and append DOM elements
Size and position elements on screen
Assemble components and layouts into creative data visualizations
D3.js in Action, Third Edition teaches you how to create an extensive portfolio of visualizations, interactive graphics, and data-driven applications using D3.js. This third edition is fully updated to the latest version of D3. It also contains new coverage of the essential aspects of modern digital visualizations. Brand new chapters dive into interactive visualizations, provide new strategies for responsiveness in web-based dataviz, and demonstrate how to improve accessibility.
about the technology
D3.js is the powerful jаvascript library behind the most innovative and sophisticated data visualizations on the web today. It provides a simple but powerful data visualization API over HTML, CSS, SVG, and Canvas. 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. You'll be blown away by how beautiful your results can be!
about the book
D3.js in Action, Third Edition is an extensive update to Manning's bestselling guide to data visualization. It smoothes the steep learning curve of D3.js, helping you gradually progress through fundamental concepts until you can build any visualization you can imagine! You'll assemble an impressive portfolio, from simple bar charts to intricate networks and maps. Along the way, you'll pick up best practices for building interactive graphics, animations, and integrating your work into frontend development frameworks like React and Svelte.
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about the reader
Suitable for web developers with HTML, CSS, and jаvascript skills. No specialized data science skills required.
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.
Anne-Marie Dufour is a data visualization developer with a background in computation fluid dynamics and mechanical engineering. She loves breaking down complex subjects into digestible and applicable bits.


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