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D3.Js in Action

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3.96  ·  Rating details ·  84 ratings  ·  5 reviews
Summary

D3.js in Action is a practical tutorial for creating interactive graphics and data-driven applications using D3.js. You'll start with in-depth explanations of D3's out-of-the-box layouts, along with dozens of practical use cases that align with different types of visualizations. Then, you'll explore practical techniques for content creation, animation, and
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Paperback, 352 pages
Published March 15th 2015 by Manning Publications (first published January 1st 2014)
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Tiffany France
Jun 27, 2015 rated it liked it
I had great difficulty with the writing style of this book. The topics were good but I found the writing style prevented me from understanding the content. I also would have liked it laid out differently. I found myself flipping around in the book to connect concepts.
msimunovic
Nov 29, 2018 rated it really liked it  ·  review of another edition
The book contains a series of recipies for different visualization strategies. This is probably OK if you already have experience with D3 and you are looking step by step guidelines. In that regard this book lives up to its promises and "in Action" attribute in its title.

However, the code is already outdated. In version 5, data loading is different (citing official release notes "D3 now uses Promises instead of asynchronous callbacks to load data") so you might experience issues when trying out
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Tom
Nov 18, 2018 rated it liked it  ·  review of another edition
The book provides quite a few nice examples and is surely worth a closer look. However, compared to "Interactive Data Visualization for the Web" by Scott Murray and "D3 Cookbook" by Nick Zhu the writing style and the code are a bit disappointing.
Tihomir
Feb 16, 2016 rated it it was amazing
Shelves: 2016_tech, big-data
It is a very, very useful book! I found the a lot of practical ideas how to deal with D3. Providing links to the actual working code was handy. A highly recommended reading!
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I'm currently a senior data visualization engineer at Netflix, where I have the chance to create visual representations of big data. I started doing data visualization and analysis in graduate school where I used GIS to study the effects of environmental change on historical states. Before coming to Netflix, I worked at Stanford creating interactive scholarly works in the field of digital ...more