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Index
Cover
PART I: The Beauty of Numbers Made Visible
Chapter 1: The World of Data Visualization
Bringing Numbers to Life
Applications of Data Visualization
Web Professionals: In the Thick of It
What Tech Brings to the Table
Summary
Chapter 2: Working with the Essentials of Analysis
Key Analytic Concepts
Working with Sampled Data
Detecting Patterns with Data Mining
Projecting Future Trends
Summary
Chapter 3: Building a Visualization Foundation
Exploring the Visual Data Spectrum
Making Use of the HTML5 Canvas
Integrating SVG
Summary
Part II: Working with JavaScript for Analysis
Chapter 4: Integrating Existing Data
Reading Data from Standard Text Files
Incorporating XML Data
Displaying JSON Content
Summary
Chapter 5: Acquiring Data Interactively
Using HTML5 Form Controls
Maximizing Mobile Forms
Summary
Chapter 6: Validating Your Data
Server-Side Versus Client-Side Validation
Native HTML5 Validation
jQuery Validation Engine
Summary
Chapter 7: Examining and Sorting Data Tables
Outputting Basic Table Data
Assuring Maximum Readability
Including Computations
Using the DataTables Library
Relating a Data Table to a Chart
Summary
Chapter 8: Statistical Analysis on the Client Side
Statistical Analysis with jStat
Rendering Probability Distributions with Flot
Summary
Part III: Visualizing Data Programmatically
Chapter 9: Exploring Charting Tools
Creating HTML5 Canvas Charts
Starting with Google Charts
Summary
Chapter 10: Building Custom Charts with Raphaël
Introducing Raphaël
Working with GRaphaël
Extending Raphaël to Create Custom Charts
Summary
Chapter 11: Introducing D3
Getting Started
D3 Helper Functions
D3 Helper Layouts
Summary
Chapter 12: Incorporating Symbols
Working with SVG Symbols with D3
Canvas Symbols with Ignite UI igDataChart
Summary
Chapter 13: Mapping Global, Regional, and Local Data
Working with Google Maps
Customizing Maps with Iconography
Plotting Data on Choropleth Maps
Summary
Chapter 14: Charting Time Series with Ignite UI igDataChart
Working with Stocks
Implementing Ignite UI igDataChart
Plotting Real-Time Data
Plotting Massive Data
Summary
Part IV: Interactive Analysis and Visualization Projects
Chapter 15: Building an Interconnected Dashboard
The U.S. Census API
Rendering Charts
Creating the Dashboard
Connecting Components with Backbone
Next Steps
Summary
Chapter 16: D3 in Practice
Making D3 Look Perfect
Working with Axes
Working with the Voronoi Map
Making Reusable Visualizations
Summary
Introduction
What's in This Book
Who This Book Is For
Conventions
Companion Website
Errata
p2p.wrox.com
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End User License Agreement
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