Storytelling with data a data visualization guide for business professionals Knaflic, Cole Nussbaumer
✍ Scribed by Storytelling with data a data visualization guide for business professionals Knaflic, Cole Nussbaumer
- Year
- 2022
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
✦ Table of Contents
storytelling with data
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 1: the importance of context
Chapter 2: choosing an effective visual
Chapter 3: clutter is your enemy!
Chapter 4: focus your audience’s attention
Chapter 5: think like a designer
Chapter 6: dissecting model visuals
Chapter 7: lessons in storytelling
Chapter 8: pulling it all together
Chapter 9: case studies
Chapter 10: final thoughts
chapter one the importance of context
Exploratory vs. explanatory analysis
Who, what, and how
Who
Your audience
You
What
Action
Mechanism
Tone
How
Who, what, and how: illustrated by example
Consulting for context: questions to ask
The 3‐minute story & Big Idea
3‐minute story
Big Idea
Storyboarding
In closing
chapter two choosing an effective visual
Simple text
Tables
Heatmap
Graphs
Points
Scatterplot
Lines
Line graph
Slopegraph
Bars
Vertical bar chart
Stacked vertical bar chart
Waterfall chart
Horizontal bar chart
Stacked horizontal bar chart
Area
Other types of graphs
To be avoided
Pie charts are evil
Never use 3D
Secondary y‐axis: generally not a good idea
In closing
chapter three clutter is your enemy!
Cognitive load
Clutter
Gestalt principles of visual perception
Proximity
Similarity
Enclosure
Closure
Continuity
Connection
Lack of visual order
Alignment
White space
Non‐strategic use of contrast
Decluttering: step‐by‐step
1. Remove chart border
2. Remove gridlines
3. Remove data markers
4. Clean up axis labels
5. Label data directly
6. Leverage consistent color
In closing
chapter four focus your audience’s attention
You see with your brain
A brief lesson on memory
Iconic memory
Short‐term memory
Long‐term memory
Preattentive attributes signal where to look
Preattentive attributes in text
Preattentive attributes in graphs
Size
Color
Use color sparingly
Use color consistently
Design with colorblind in mind
Be thoughtful of tone that color conveys
Brand colors: to leverage or not to leverage?
Position on page
In closing
chapter five think like a designer
Affordances
Highlight the important stuff
Eliminate distractions
Create a clear visual hierarchy of information
Accessibility
Don’t overcomplicate
Text is your friend
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
Storytelling in plays
Storytelling and the cinema
Storytelling and the written word
Constructing the story
The beginning
The middle
The end
The narrative structure
Narrative flow: the order of your story
The spoken and written narrative
The power of repetition
Tactics to help ensure that your story is clear
Horizontal logic
Vertical logic
Reverse storyboarding
A fresh perspective
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
Emphasize one line at a time
Separate spatially
Combined approach
CASE STUDY 5: Alternatives to pies
Alternative #1: show the numbers directly
Alternative #2: simple bar graph
Alternative #3: 100% stacked horizontal bar graph
Alternative #4: slopegraph
In closing
chapter ten final thoughts
Where to go from here
Tip #1: learn your tools well
Tip #2: iterate and seek feedback
Tip #3: devote time to storytelling with data
Tip #4: seek inspiration through good examples
Tip #5: have fun and find your style
Building storytelling with data competency in your team or organization
Upskill everyone
Invest in an internal expert or two
Outsource
A combined approach
Recap: a quick look at all we’ve learned
In closing
bibliography
Index
EULA
Copyright
Title Page
Dedication
Contents
Chapter 1: ‘I’m thinking’ – Oh, but are you?
Chapter 2: Renegade perception
Chapter 3: The Pushbacker sting
Chapter 4: ‘Covid’: The calculated catastrophe
Chapter 5: There is no ‘virus’
Chapter 6: Sequence of deceit
Chapter 7: War on your mind
Chapter 8: ‘Reframing’ insanity
Chapter 9: We must have it? So what is it?
Chapter 10: Human 2.0
Chapter 11: Who controls the Cult?
Chapter 12: Escaping Wetiko
Postscript
Appendix: Cowan-Kaufman-Morell Statement on Virus Isolation
Bibliography
Index
📜 SIMILAR VOLUMES
<i>Storytelling with Data</i> expands upon the lessons taught in Nussbaumer's highly-regarded storytelling with data workshops: the importance of context, choosing the right visual display, identifying and eliminating clutter, drawing your audience's attention to where you want them to pay it, and m
Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminati
<span>Adopted by universities and business schools in Finland, Barcelona, USA, South Korea, Canada, and the Middle East; and used in training at companies like Halliburton TX, Agilent technologies, and PropertyFinder, this book will help you not only to transform data into information but show you w