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
About the Author
About the Reviewer

Spreading data in a scatter chart

The scatter chart is a very powerful chart and is mainly used to get a bird's-eye view while comparing two data sets. For example, comparing the scores in an English class and the scores in a Math class to find a correlative relationship. This style of visual comparison can help find surprising relationships between unexpected data sets.

This is ideal when the goal is to show a lot of details in a very visual way.

Getting ready

If you haven't had a chance yet to scan through the logic of our first recipe in this chapter, I recommend you take a peek at it as we are going to base a lot of our work on that while expanding and making it a bit more complex to accommodate two data sets.

The regular HTML start-up code can be found in the code bundle or go through Chapter 1, Drawing Shapes in Canvas, for more information on creating the HTML document.

I've revisited our data source from the previous recipe and modified it to store three variables of students' exam scores...