JavaScript and jQuery for Data Analysis and Visualization shows web designers and developers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations. The author demonstrates the use of each technique with real-world use cases, showing how to apply the appropriate JavaScript and jQuery libraries to achieve the desired visualization. Upwards of 50 different coding tools will be incorporated, including a number of custom routines developed by the author.
· The Beauty of Numbers Made Visible
· Working with Javascript for Analysis
· Visualizing Data Programmatically
· Interactive Analysis and Visualization Projects
About the Author
Jon Raasch is a freelance web developer and author of several books. A user-experience junkie, he builds HTML5 and JavaScript apps for desktop and mobile devices.
Graham Murray is a software architect specializing in building UI development tools.
Vadim Ogievetsky is a data flow processor at Metamarkets, where he works with data visualization framework development.
Joseph Lowery is a professional web designer and online trainer with courses on website and app creation as well as data visualization at Lynda.com.
Table of Contents: Introduction
Part I: The Beauty of Numbers Made Visible
· The World of Data Visualization
· Working with the Essentials of Analysis
· Building a Visualization Foundation
Part II: Working with Javascript for Analysis
· Integrating Existing Data
· Acquiring Data Interactively
· Validating Your Data
· Examining and Sorting Data Tables
· Statistical Analysis on the Client Side
Part III: Visualizing Data Programmatically
· Exploring Charting Tools
· Building Custom Charts With Raphaël
· Introducing D3
· Incorporating Symbols
· Mapping Global, Regional and Local Data
· Charting Time Series With Ignite Ui Ig data chart
Part IV: Interactive Analysis and Visualization Projects
· Building An Interconnected Dashboard
· D3 In Practice
Summary
Index