Data Visualization with JavaScript
Publisher: No Starch Press
Final Release Date: March 2015
Pages: 384

You've got data to communicate. But what kind of visualization do you choose, how do you build it, and how do you ensure that it's up to the demands of the Web?

In Data Visualization with JavaScript, you'll learn how to use JavaScript, HTML, and CSS to build the most practical visualizations for your data. Step-by-step examples walk you through creating, integrating, and debugging different types of visualizations and will have you building basic visualizations, like bar, line, and scatter graphs, in no time.

Then you'll move on to more advanced topics, including how to:

  • Create tree maps, heat maps, network graphs, word clouds, and timelines
  • Map geographic data, and build sparklines and composite charts
  • Add interactivity and retrieve data with AJAX
  • Manage data in the browser and build data-driven web applications
  • Harness the power of the Flotr2, Flot, Chronoline.js, D3.js, Underscore.js, and Backbone.js libraries

If you already know your way around building a web page but aren't quite sure how to build a good visualization, Data Visualization with JavaScript will help you get your feet wet without throwing you into the deep end. Before you know it, you'll be well on your way to creating simple, powerful data visualizations.

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oreillyData Visualization with JavaScript

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(7 of 8 customers found this review helpful)


Starts well, then veers off course

By Somerset web developer

from Bristol, UK

About Me Designer, Developer

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    Comments about oreilly Data Visualization with JavaScript:

    Given the title, I expected this book to focus on the design of data visualisations, and how you might implement them in JavaScript. And given that there are on the market a number of books and tutorials on basic chart and graph drawing in JavaScript, I had hoped for a book that would get into more intricate dataviz examples.

    It starts well. Early chapters focus on basic chart types (pie charts, scatter graphs, etc), and how you program them, add interactivity, etc. It's a little heavy on the programming examples, but to be fair the description of the book does promise "step-by-step examples". For developers who are new or relatively inexperienced in JavaScript, I can see that this would be helpful. As an experienced developer looking for more information on the data visualisation design, it was less helpful to me - but I'm probably not the target market.

    However, whatever your interests, the latter third of the book veers off in a very different direction to the basic premise of the book. Functional programming, using grunt and yeoman, these are all good topics for developers to learn about, but they seem only tangentially related to data visualisation.

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