JavaScript and jQuery for Data Analysis and Visualization - Softcover

Raasch, Jon; Murray, Graham; Ogievetsky, Vadim; Lowery, Joseph

Softcover

ISBN 10: 1118847067 ISBN 13: 9781118847060

Publisher: Wrox, 2014

Synopsis

Go beyond design concepts—build dynamic data visualizations using JavaScript

JavaScript and jQuery for Data Analysis and Visualization goes beyond design concepts to show readers how to build dynamic, best-of-breed visualizations using JavaScript—the most popular language for web programming.

The authors show data analysts, developers, and web designers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations. They also demonstrate the use of each technique with real-world use cases, showing how to apply the appropriate JavaScript and jQuery libraries to achieve the desired visualization.

All of the key techniques and tools are explained in this full-color, step-by-step guide. The companion website includes all sample codes used to generate the visualizations in the book, data sets, and links to the libraries and other resources covered.

• Go beyond basic design concepts and get a firm grasp of visualization approaches and techniques using JavaScript and jQuery
• Discover detailed, step-by-step directions for building specific types of data visualizations in this full-color guide
• Learn more about the core JavaScript and jQuery libraries that enable analysis and visualization
• Find compelling stories in complex data, and create amazing visualizations cost-effectively

Let JavaScript and jQuery for Data Analysis and Visualization be the resource that guides you through the myriad strategies and solutions for combining analysis and visualization with stunning results.

About this title

From the Back Cover

Build dynamic data visualizations using JavaScript

Go beyond design concepts and use the power and flexibility of modern JavaScript and jQuery to analyze and present data vibrantly and visually. Key techniques and tools are explained in step-by-step directions that enable you to bring numbers to life, while real-world examples illustrate how to use these skills in workplace applications. Dive into the core JavaScript and jQuery libraries, learn to identify the stories your data can tell, and create cost-effective visualizations. The companion website contains all sample code, data sets, and links to the libraries and other resources.

JavaScript and jQuery for Data Analysis and Visualization:

• Enables you to create best-of-breed visualizations using the preferred web programming language
• Provides in-depth information about core JavaScript and jQuery libraries used for analysis and visualization
• Examines assorted visualization approaches and techniques
• Demonstrates how to use JavaScript for analyzing and manipulating data
• Offers detailed, step-by-step instructions for building specific types of data visualizations
• Explores charting techniques, how to create and customize maps, and the use of D3 and Ignite UI
• Shows how to develop interactive analysis and visualization projects

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About the Author

Jon Raasch is a freelance web developer and author of several books. A user-experience junkie, he builds HTML5 and JavaScript apps for desktop and mobile devices.

Graham Murray is a software architect specializing in building UI development tools.

Vadim Ogievetsky is a data flow processor at Metamarkets, where he works with data visualization framework development.

Joseph Lowery is a professional web designer and online trainer with courses on website and app creation as well as data visualization at Lynda.com.

Wrox guides are crafted to make learning programming languages and technologies easier than you think. Written by programmers for programmers, they provide a structured, tutorial format that will guide you through all the techniques involved.

Edition details

• Publisher: Wrox
• Publication date: 2014
• ISBN 10: 1118847067
• ISBN 13: 9781118847060
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 480