Storytelling with Data
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Оглавление
Knaflic Cole Nussbaumer. Storytelling with Data
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 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
Отрывок из книги
We’ve all been victims of bad slideware. Hit-and-run presentations that leave us staggering from a maelstrom of fonts, colors, bullets, and highlights. Infographics that fail to be informative and are only graphic in the same sense that violence can be graphic. Charts and tables in the press that mislead and confuse.
It’s too easy today to generate tables, charts, graphs. I can imagine some old-timer (maybe it’s me?) harrumphing over my shoulder that in his day they’d do illustrations by hand, which meant you had to think before committing pen to paper.
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I will give you practical guidance that you can begin using immediately to better communicate visually with data. We’ll cover content to help you learn and be comfortable employing six key lessons:
Throughout the book, I use a number of case studies to illustrate the concepts discussed. The lessons we cover will not be industry – or role – specific, but rather will focus on fundamental concepts and best practices for effective communication with data. Because my work spans many industries, so do the examples upon which I draw. You will see case studies from technology, education, consumer products, the nonprofit sector, and more.
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