HTML5 Data and Services Cookbook

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!

HTML5 Data and Services Cookbook

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Preface

Free Chapter

Display of Textual Data

Introduction

Rounding numbers for display

Padding numbers

Displaying metric and imperial measurements

Displaying formatted dates in the user's time zone

Displaying the dynamic time that has elapsed

Displaying Math

Creating an endless scrolling list

Creating a sortable paginated table

Creating multiple-choice filters

Creating range filters

Creating combined complex filters

Displaying code in HTML

Rendering Markdown

Autoupdating fields

Display of Graphical Data

Introduction

Creating a line chart

Creating a bar chart

Creating a pie chart

Creating an area chart

Displaying combined charts

Creating a bubble chart

Showing a map with a marked location

Showing a map with a path

Displaying gauges

Displaying a tree

LED scoreboard using web fonts

Animated Data Display

Introduction

Making a motion chart

Displaying a force directed graph

Making a live range chart filter

Making an image carousel

Zooming and panning a chart

Using the web notifications API

Creating interactive Geo charts from a dataset

Using HTML5 Input Components

Introduction

Using the text input field

Using single-choice dropdowns

Using multiple-choice select lists

Getting geographical location input

Using file inputs at the client side

Using a drag-and-drop file area

Custom Input Components

Introduction

Using contentEditable for basic rich text input

Advanced rich text input

Creating a drop-down menu

Creating custom dialogs

Creating autocomplete for input

Creating a custom single-selection list

Creating a multiple-selection list

Geographic location input using maps

Data Validation

Introduction

Validating text by length

Validating numbers by range

Using the built-in pattern validation

Advanced use of built-in constraints and custom validations

Calculating password strength

Validating US zip codes

Using asynchronous server-side validation

Combining client-side and server-side validation

Data Serialization

Introduction

Deserializing JSON to JavaScript objects

Serializing objects to a JSON string

Decoding base64 encoded binary data

Encoding binary data or text into base64

Serializing binary data into JSON

Serializing and deserializing cookies

Serializing a form into request strings

Reading XML documents with DOMParser

Serialization of XML document at the client side

Communicating with Servers

Creating an HTTP GET request to fetch JSON

Creating a request with custom headers

Versioning your API

Fetching JSON data with JSONP

Reading XML data from server

Using the FormData interface

Posting a binary file to the server

Creating an SSL connection with Node.js

Making real-time updates with Ajax Push

Exchanging real-time messages using WebSockets

Client-side Templates

Introduction

Rendering objects using Handlebars

Rendering objects using EJS

Rendering objects using Jade

Rendering arrays using Handlebars

Rendering arrays using EJS

Rendering arrays using Jade

Simplifying templates with helpers in Handlebars

Reusing templates with partials in Handlebars

Reusing templates with partials in EJS

Using filters in Jade

Using mixins in Jade

Using layouts and blocks in Jade

Data Binding Frameworks

Introduction

Creating a basic Angular view with data binding

Rendering lists and using Angular controllers

Routing, filters, and backend services in Angular

Using Angular's client-side validation

Making a chart component with Angular directives

Structuring applications for Meteor.js

Reactive programming and data in Meteor.js

Live HTML and user-specific data in Meteor.js

Security mechanisms in Meteor.js

Data Storage

Introduction

Data URI

Session and local storage

Reading data from files

Using IndexedDB

Limits of the storage and how to ask for more

Manipulating the browser history

Multimedia

Introduction

Playing audio files

Playing video files

Customizing controls for media elements

Adding text to your video

Embedding multimedia

Converting text to speech using HTML5 audio

Installing Node.js and Using npm

Introduction

Installing Node.js

Using npm

Community and Resources

WHATWG

World Wide Web Consortium

Other resources

Index

Customer Reviews

5 star

4 star

3 star

2 star

1 star

Creating an area chart

Area charts are usually used in place of line charts when we want to stack multiple results on top of each other. They can also be used to enhance the visual appeal of the chart in certain circumstances.

This recipe will present an example where the area chart is used for an enhanced visual appeal: displaying altitude data.

Let's say we need to visualize the altitude of a 8-km downhill hike succeeded by 12 km of flat walking. We would also like to mark the "mountain" portion of the chart. Finally, we would like the area below the altitude line to be filled in a way reminiscent of color relief maps with the color green for low, yellow for medium, and white for high-altitude.

Getting ready

We'll also use the Flot chart library in this example, so we will need to download Flot from the official website ta http://www.flotcharts.org/ and extract the content to a separate folder named flot.

How to do it...

Our HTML file needs a chart placeholder element and the necessary scripts...

HTML5 Data and Services Cookbook

HTML5 Data and Services Cookbook

Overview of this book

Related Content you might be interested in

Current Title:

HTML5 Data and Services Cookbook

Creating an area chart

Getting ready

How to do it...