Book Image

HTML5 Graphing and Data Visualization Cookbook

By : Ben Fhala
Book Image

HTML5 Graphing and Data Visualization Cookbook

By: Ben Fhala

Overview of this book

The HTML5 canvas tag makes creating any plot shape easy, all you have to do then is fill it with exciting visualizations written in JavaScript or using other visualization tools. "HTML5 Graphing and Data Visualization Cookbook" is the perfect break into the world of Canvas, charts, and graphs in HTML5 and JavaScript. In this book we will go through a journey of getting to know the technology by creating and planning data-driven visualizations. This cookbook is organized in a linear, progressive way so it can be read from start to finish, as well as be used as a resource for specific tasks.This book travels through the steps involved in creating a fully interactive and animated visualization in HTML5 and JavaScript. You will start from very simple "hello world"ù samples and quickly dive deeper into the world of graphs and charts in HTML5. Followed by learning how canvas works and carrying out a group of tasks geared at taking what we learned and implementing it in a variety of chart types. With each chapter the content becomes more complex and our creations become more engaging and interactive.Our goal is that by the end of this book you will have a strong foundation; knowing when to create a chart on your own from scratch and when it would be a good idea to depend on other APIs.We finish our book in our last two chapters exploring Google maps and integrating everything we learnt into a full project.
Table of Contents (17 chapters)
HTML5 Graphing and Data Visualization Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Introduction


The open source data visualization community is extremely rich and detailed, with many options and some really amazing libraries. Each library has its strong points and its disadvantages. Some are standalone code while others depend on other platforms such as jQuery. Some are really big and some are really small; there isn't any one option that is perfect for all opportunities, but with such a rich amount of options, the most important thing is to figure out what library is the right one for you.

There is always a trade-off when working with open source libraries, mainly when it comes to file sizes and having just too many features that drag down the speed of your application, load time, and so on. But with the richness and creativeness of the community, it's hard to avoid really fantastic charts that can be created in minutes instead of hours.

In this chapter we will explore working with some of these options. Instead of using the libraries according to the documentation of the...