Storytelling with Data: A Data Visualization Guide for Business Professionals

Book description

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Table of contents

  1. Foreword
    1. Note
  2. Acknowledgments
  3. About the Author
  4. Introduction
    1. Bad graphs are everywhere
    2. We aren’t naturally good at storytelling with data
    3. Who this book is written for
    4. How I learned to tell stories with data
    5. How you’ll learn to tell stories with data: 6 lessons
    6. Illustrative examples span many industries
    7. Lessons are not tool specific
    8. How this book is organized
  5. Chapter 1 the importance of context
    1. Exploratory vs. explanatory analysis
    2. Who, what, and how
    3. Who
    4. What
    5. How
    6. Who, what, and how: illustrated by example
    7. Consulting for context: questions to ask
    8. The 3-minute story & Big Idea
    9. Storyboarding
    10. In closing
  6. Chapter 2 choosing an effective visual
    1. Simple text
    2. Tables
    3. Graphs
    4. Points
    5. Lines
    6. Bars
    7. Area
    8. Other types of graphs
    9. To be avoided
    10. In closing
  7. Chapter 3 clutter is your enemy!
    1. Cognitive load
    2. Clutter
    3. Gestalt principles of visual perception
    4. Lack of visual order
    5. Non-strategic use of contrast
    6. Decluttering: step-by-step
    7. In closing
  8. Chapter 4 focus your audience’s attention
    1.  
    2. You see with your brain
    3. A brief lesson on memory
    4. Preattentive attributes signal where to look
    5. Size
    6. Color
    7. Position on page
    8. In closing
  9. Chapter 5 think like a designer
    1. Affordances
    2. Accessibility
    3. Aesthetics
    4. Acceptance
    5. In closing
  10. Chapter 6 dissecting model visuals
    1. Model visual #1: line graph
    2. Model visual #2: annotated line graph with forecast
    3. Model visual #3: 100% stacked bars
    4. Model visual #4: leveraging positive and negative stacked bars
    5. Model visual #5: horizontal stacked bars
    6. In closing
  11. Chapter 7 lessons in storytelling
    1. The magic of story
    2. Constructing the story
    3. The narrative structure
    4. The power of repetition
    5. Tactics to help ensure that your story is clear
    6. In closing
  12. Chapter 8 pulling it all together
    1. Lesson 1: understand the context
    2. Lesson 2: choose an appropriate display
    3. Lesson 3: eliminate clutter
    4. Lesson 4: draw attention where you want your audience to focus
    5. Lesson 5: think like a designer
    6. Lesson 6: tell a story
    7. In closing
  13. Chapter 9 case studies
    1. CASE STUDY 1: Color considerations with a dark background
    2. CASE STUDY 2: Leveraging animation in the visuals you present
    3. CASE STUDY 3: Logic in order
    4. CASE STUDY 4: Strategies for avoiding the spaghetti graph
    5. CASE STUDY 5: Alternatives to pies
    6. In closing
  14. Chapter 10 final thoughts
    1. Where to go from here
    2. Building storytelling with data competency in your team or organization
    3. Recap: a quick look at all we’ve learned
    4. In closing
  15. Bibliography
  16. Index
  17. EULA

Product information

  • Title: Storytelling with Data: A Data Visualization Guide for Business Professionals
  • Author(s):
  • Release date:
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  • ISBN: None