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Index
Cover Title page Copyright Dedication Foreword
Note
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 1 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 2 choosing an effective visual
Simple text Tables Graphs Points Lines Bars Area Other types of graphs To be avoided In closing
Chapter 3 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 4 focus your audience’s attention
  You see with your brain A brief lesson on memory Preattentive attributes signal where to look Size Color Position on page In closing
Chapter 5 think like a designer
Affordances Accessibility Aesthetics Acceptance In closing
Chapter 6 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 7 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 8 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 9 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 10 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 EULA
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