Book Image

HTML5 Data and Services Cookbook

Book Image

HTML5 Data and Services Cookbook

Overview of this book

HTML5 is everywhere. From PCs to tablets to smartphones and even TVs, the web is the most ubiquitous application platform and information medium bar. Its becoming a first class citizen in established operating systems such as Microsoft Windows 8 as well as the primary platform of new operating systems such as Google Chrome OS. "HTML5 Data and Services Cookbook" contains over 100 recipes explaining how to utilize modern features and techniques when building websites or web applications. This book will help you to explore the full power of HTML5 - from number rounding to advanced graphics to real-time data binding. "HTML5 Data and Services Cookbook" starts with the display of text and related data. Then you will be guided through graphs and animated visualizations followed by input and input controls. Data serialization, validation and communication with the server as well as modern frameworks with advanced features like automatic data binding and server communication will also be covered in detail.This book covers a fast track into new libraries and features that are part of HTML5!
Table of Contents (21 chapters)
HTML5 Data and Services Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Creating a line chart


Line charts are the most basic type of charts. They display a series of data points connected together by lines. Line charts are often used to visualize time series data.

There are various libraries that implement this charting functionality, both paid and free. We're going to use the Flot chart library. It's free, simple, and easy to use and it has been in active development for the past 4 years. It also aims to produce aesthetically pleasing charts.

In this recipe, we're going to make a time series chart that displays the outside temperature history for the past 24 hours.

Getting ready

We'll need to download Flot from the official website at http://www.flotcharts.org/, and extract the contents to a separate folder named flot.

How to do it...

Let's write the HTML and JavaScript code.

  1. Create a basic HTML page with a placeholder for our chart. We're also going to include jQuery (needed by Flot) and Flot itself. Flot needs to draw the chart canvas a placeholder div, so we're...