JavaScript and jQuery for Data Analysis and Visualization

Go beyond design concepts—build dynamic data visualizations using JavaScript

JavaScript and jQuery for Data Analysis and Visualization goes beyond design concepts to show readers how to build dynamic, best-of-breed visualizations using JavaScript—the most popular language for web programming.

The authors show data analysts, developers, and web designers 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. They also demonstrate 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.

All of the key techniques and tools are explained in this full-color, step-by-step guide. The companion website includes all sample codes used to generate the visualizations in the book, data sets, and links to the libraries and other resources covered.

• Go beyond basic design concepts and get a firm grasp of visualization approaches and techniques using JavaScript and jQuery
• Discover detailed, step-by-step directions for building specific types of data visualizations in this full-color guide
• Learn more about the core JavaScript and jQuery libraries that enable analysis and visualization
• Find compelling stories in complex data, and create amazing visualizations cost-effectively

Let JavaScript and jQuery for Data Analysis and Visualization be the resource that guides you through the myriad strategies and solutions for combining analysis and visualization with stunning results.

Table of Contents

PART I: The Beauty of Numbers Made Visible
Chapter 1: The World of Data Visualization
Chapter 2: Working with the Essentials of Analysis
Chapter 3: Building a Visualization Foundation

Part II: Working with JavaScript for Analysis
Chapter 4: Integrating Existing Data
Chapter 5: Acquiring Data Interactively
Chapter 6: Validating Your Data
Chapter 7: Examining and Sorting Data Tables
Chapter 8: Statistical Analysis on the Client Side

Part III: Visualizing Data Programmatically
Chapter 9: Exploring Charting Tools
Chapter 10: Building Custom Charts with Raphaël
Chapter 11: Introducing D3
Chapter 12: Incorporating Symbols
Chapter 13: Mapping Global, Regional, and Local Data
Chapter 14: Charting Time Series with Ignite UI igDataChart

Part IV: Interactive Analysis and Visualization Projects
Chapter 15: Building an Interconnected Dashboard
Chapter 16: D3 in Practice