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Effective Data Visualization
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Effective Data Visualization
The Right Chart for the Right Data

Second Edition
April 2019 | 352 pages | SAGE Publications, Inc
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NOW IN FULL COLOR!

Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate their data findings. This comprehensive how-to guide functions as a set of blueprints—supported by both research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for building the chosen graph in Excel. 

Now in full color with new examples throughout, the Second Edition includes a revamped chapter on qualitative data, nine new quantitative graph types, new shortcuts in Excel, and an entirely new chapter on Sharing Your Data With the World, which provides advice on using dashboards.

New from Stephanie Evergreen! The Data Visualization Sketchbook provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats. Bundle Effective Data Visualization, 2e, and The Data Visualization Sketchbook, using ISBN 978-1-5443-7178-8!
 
 
PREFACE
 
ACKNOWLEDGMENTS
 
ABOUT THE AUTHOR
 
Chapter 1. Our Backbone: Why We Visualize
Why We Visualize

 
When Visualization Is Harmful

 
Which Chart Type Is Best?

 
Tell a Story With Data

 
How to Use This Book

 
Exercises

 
Resources

 
References

 
 
Chapter 2. When a Single Number Is Important: Showing Mean, Frequency, and Measures of Variability
What Stories Can Be Told With a Single Number?

 
How Can I Visualize a Single Number?

 
How Can I Show Measures of Variability?

 
Exercises

 
Resources

 
References

 
 
Chapter 3. How Two or More Numbers Are Alike or Different: Visualizing Comparisons
What Stories Can Be Told About How Two or More Numbers Are Alike or Different?

 
How Can I Visualize How Two or More Numbers Are Alike or Different?

 
Exercises

 
Resources

 
References

 
 
Chapter 4. How We Are Better or Worse Than a Benchmark: Displaying Relative Performance
What Stories Can Be Told About How We Are Better or Worse Than a Benchmark?

 
How Can I Visualize How We Are Better or Worse Than a Benchmark?

 
Exercises

 
Resources

 
References

 
 
Chapter 5. What the Survey Says: Showing Likert, Ranking, Check-All-That-Apply, and More
What Stories Can Be Told About What the Survey Says?

 
How Can I Visualize What the Survey Says?

 
Ranking

 
Branching

 
Visualizing Not Applicable or Missing Data

 
Exercises

 
Resources

 
References

 
 
Chapter 6. When There Are Parts of a Whole: Visualizing Beyond the Pie Chart
What Stories Can Be Told When There Are Parts of a Whole?

 
How Can I Visualize the Parts of a Whole?

 
Exercises

 
Resources

 
References

 
 
Chapter 7. How This Thing Changes When That Thing Does: Communicating Correlation and Regression
What Stories Can Be Told About How This Thing Changes When That Thing Does?

 
How Can I Visualize How This Thing Changes When That Thing Does?

 
Exercises

 
Resources

 
References

 
 
Chapter 8. When the Words Have the Meaning: Visualizing Qualitative Data
What Stories Can Be Told When the Words Have the Meaning?

 
How Can I Visualize When the Words Have the Meaning?

 
Pure Qualitative: Highlight a Word

 
Pure Qualitative: Thematic Analysis

 
Some Quantification: Highlight a Word

 
Some Quantification: Thematic Analysis

 
Exercises

 
Resources

 
References

 
 
Chapter 9. How Things Changed Over Time: Depicting Trends
What Stories Can Be Told About How Things Changed Over Time?

 
How Can I Visualize How Things Changed Over Time?

 
Exercises

 
Resources

 
References

 
 
Chapter 10. Reporting Out: Sharing Your Data With the World
Static Visuals

 
Interactive Dashboards

 
Exercises

 
Resources

 
References

 
 
Chapter 11. It’s About More Than the Buttons
Dot Plots Generate Healthcare Pioneers

 
Clearly Labeled Line Graphs Streamline Decisions at a Fortune 500

 
Diverging Stacked Bars Make for Community Leaders in the Midwest

 
Icons Support Informed Policymaking

 
Building a Culture of Effective Data Visualization

 
Exercises

 
Resources

 
References

 
 
INDEX

Meet the course requirements. But the author's language is not so formal. PowerPoint slides are not available.

Yong Chen
AR Sanchez School of Business, Texas A&M International Univ
March 4, 2021
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Excellent introductory text. Detailed with good worked examples

Dr Andrew Percy
School of Social Sciences, Education & Social Work , Queen's University Belfast
September 21, 2020
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Key features

NEW TO THIS EDITION: 

  • Every image is now in full color, making it easier to match your screen to the book’s screenshots for easy, impactful data viz.
  • Nine new quantitative graph types in this edition include overlapping bars, vertical dumbbell dot plots, waffle charts, pictographs, bump charts, connected scatterplots, waterfalls, tile maps, and combination charts with target lines.
  • This edition introduces a qualitative chart chooser on the inside back cover and the largest compendium of qualitative visualization options ever published, from journey maps and histomaps to spectrum displays.
  • Additional peer-reviewed research on human perception, cognition, psychology, and data visualization supports chart recommendations and gives readers more confidence when trying out new graph types.
  • Strategies for building a culture of effective data visualization throughout your organization are covered.
  • A new chapter on making interactive dashboards in Excel is included in this edition.

KEY FEATURES:

  • The “Chart Chooser” one-page diagram located on the inside front cover serves as a quick reference for readers to choose the right chart for their data.
  • Step-by-step instructions with screenshots for data visualization development in Excel demonstrate exactly how to create graphs with impact.
  • An engaging, logical narrative features the kinds of stories that can be told about a data set, relying on common research questions and presentation intentions.
  •  “Ninja ratings” for graph types indicate their difficulty level in Excel.
  • Success stories showcase how creating effective data visualization can be a way to go beyond producing charts and tables and create organizational culture change.
 

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