فهرست مطالب

• contents
• foreword
• acknowledgments
• about the author
• introduction
• Bad graphs are everywhere
• We aren’t naturally good at storytelling with data
• Who this book is written for
• How I learned to tell stories with data
• How you’ll learn to tell stories with data: 6 lessons
• Illustrative examples span many industries
• Lessons are not tool specific
• How this book is organized
• chapter one the importance of context
• Exploratory vs. explanatory analysis
• Who, what, and how
• Who
• What
• How
• Who, what, and how: illustrated by example
• Consulting for context: questions to ask
• The 3‐minute story & Big Idea
• Storyboarding
• In closing
• chapter two choosing an effective visual
• Simple text
• Tables
• Graphs
• Points
• Lines
• Bars
• Area
• Other types of graphs
• To be avoided
• In closing
• chapter three clutter is your enemy!
• Cognitive load
• Clutter
• Gestalt principles of visual perception
• Lack of visual order
• Non‐strategic use of contrast
• Decluttering: step‐by‐step
• In closing
• chapter four focus your audience’s attention
• You see with your brain
• A brief lesson on memory
• Preattentive attributes signal where to look
• Preattentive attributes in text
• Preattentive attributes in graphs
• Size
• Color
• Position on page
• In closing
• chapter five think like a designer
• Affordances
• Accessibility
• Aesthetics
• Acceptance
• In closing
• chapter six dissecting model visuals
• Model visual #1: line graph
• Model visual #2: annotated line graph with forecast
• Model visual #3: 100% stacked bars
• Model visual #4: leveraging positive and negative stacked bars
• Model visual #5: horizontal stacked bars
• In closing
• chapter seven lessons in storytelling
• The magic of story
• Constructing the story
• The narrative structure
• The power of repetition
• Tactics to help ensure that your story is clear
• In closing
• chapter eight pulling it all together
• Lesson 1: understand the context
• Lesson 2: choose an appropriate display
• Lesson 3: eliminate clutter
• Lesson 4: draw attention where you want your audience to focus
• Lesson 5: think like a designer
• Lesson 6: tell a story
• In closing
• chapter nine case studies
• CASE STUDY 1: Color considerations with a dark background
• CASE STUDY 2: Leveraging animation in the visuals you present
• CASE STUDY 3: Logic in order
• CASE STUDY 4: Strategies for avoiding the spaghetti graph
• CASE STUDY 5: Alternatives to pies
• In closing
• chapter ten final thoughts
• Where to go from here
• Building storytelling with data competency in your team or organization
• Recap: a quick look at all we’ve learned
• In closing
• bibliography
• Index