Build interactive visualizations in HTML5 and JavaScript using Packt's new Cookbook

November 2012 | Cookbooks, Open Source

Packt is pleased to announce its new title HTML5 Graphing & Data Visualization Cookbook the book that will help readers to build charts through step-by-step recipes. Written by Ben Fhala, this book would help readers discover many fantastic charting and graphing solutions and build interactive visualizations of data from the start and it also includes a lot of animations and events.

HTML5 Canvas gives an easy and powerful way for readers to draw graphics using JavaScript. For each canvas element readers can use a "context" just like a page in a drawing pad, into which they can issue JavaScript commands to draw anything they want.

HTML5 Graphing & Data Visualization Cookbook takes the readers through step-by-step recipes of creating interactive and animated visualizations in HTML5 and JavaScript.  The book starts off by taking the readers from creating simple samples of “Hello World” to the various possibilities of graphs and charts. The book has simple recipes as also more complex charts and graphs. The last part contains working of Google Maps and combining everything into a single project.

A few important topics this cookbook covers:

  • Creating graphics in Canvas 2D and draw complex shapes
  • Building most of the common charts through step-by-step recipes
  • Learning how to work with Google maps , Google Charts, and Google Docs API
  • Integrating data into live data, xml driven data, objects, and strings

The book is for developers who have a basic understanding of how HTML works and know how to code in any scripting language (preferably JavaScript) to create projects and how to plan and execute them in the process. 

This book is now available for purchase in print and popular e-book formats at the publisher book-page.

 

HTML5 Graphing and Data Visualization Cookbook
Learn how to create interactive HTML5 charts and graphs with canvas, JavaScript, and open source tools

For more information, please visit: HTML5 Graphing & Data Visualization Cookbook

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