Data Visualization Made Simple

Preface

Becoming Visual

• What Is Data Visualization?
• Who Are Visualization Designers and What Do They Do?
• Why Use Data Visualization?
• How Do You Incorporate the Visualization Process Into Practice?
• Exercises
• Icons

The Tools

• Basic Productivity Applications
• Visualization Software
• Business Intelligence Tools
• Programming Packages
• A Criteria for Selecting Tools to Build Data Graphics
• Exercises

The Graphics

• Comparisons of Categories and Time
• Distributions
• Proportions
• Relationships
• Locations
• Trends—Showing Comparisons Over Time or Composition Over Time
• Word Frequency and Sentiment
• Connections and Networks
• Chart Interface
• Exercises

The Data

• Understand Your Data
• Preparing Your Data
• Compute Descriptive Statistics
• Explore the Data Visually
• Devise the Problem, Challenge, and/or Questions
• Exercises

The Design

• Design Standards
• Design Standards Checklist
• Exercises

The Audience

• Optimize Your Data Story
• Strategies for Maximizing Retention and Minimizing Overload
• Communicate the Key Message
• Exercises

The Presentation

• Using Presentation Software
• Designing Slide Presentations With Visualizations
• Testing Your Presentation
• Delivering Presentations
• Common Presentation Pitfalls
• After Your Presentation
• Presentation Checklist
• Exercise

The Cases

• Can Twitter predict the outcome of the U.S. presidential election?-Andrew Hamlet
• Can you predict the success of a startup?-Prasant Sudhakaran
• Reporting on project status-Adam Gonthier
• Identifying gaming behavior through analytics-Harry Chernoff
• Exploring the openings and closings of NYC schools-Reshama Shaikh and Riyaz Shaikh
• Wrap Up

The End

• Your Visual Habits
• Archetypes
• Keep Visualizing, Keep Learning, and Keep in Touch