Congratulations! You have finished an entire book on data visualization with D3. Together we have explored various topics and techniques. At this point you will probably agree that building interactive, accurate, and aesthetically appealing data visualization is not a trivial matter even with the help of a powerful library like D3. It typically takes days or even weeks to finish a professional data visualization project even without counting the effort usually required on the backend. What if you need to build an interactive analytics quickly, or a proof-of-concept before a full-fledged visualization project can be commenced, and you need to do that not in weeks or days, but minutes. In this appendix we will introduce you to two JavaScript libraries that allow you to do that: building quick in-browser interactive multidimensional data analytics in minutes.
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You're reading from Data Visualization with D3.js Cookbook
Product typeBook
Published inOct 2013
Reading LevelIntermediate
PublisherPackt
ISBN-139781782162162
Edition1st Edition
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Tools
Concepts
Author (1)
Nick Zhu
Nick Zhu
Nick Zhu is a professional programmer and data engineer with more than a decade experience in software development, big data, and machine learning. Currently, he is one of the founders and CTO of Yroo.com - meta search engine for online shopping. He is also the creator of dc.js—a popular multidimensional charting library built on D3.
Read more about Nick Zhu
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Data Visualization with D3.js CookbookPublished in: Oct 2013Publisher: PacktISBN-13: 9781782162162
© 2013 Packt Publishing Limited All Rights Reserved
Author (1)
Nick Zhu
Nick Zhu is a professional programmer and data engineer with more than a decade experience in software development, big data, and machine learning. Currently, he is one of the founders and CTO of Yroo.com - meta search engine for online shopping. He is also the creator of dc.js—a popular multidimensional charting library built on D3.
Read more about Nick Zhu