Effective Data Visualization
The Right Chart for the Right Data
Second Edition
- Stephanie D. H. Evergreen - Evergreen Data & Evaluation, LLC
Other Titles in:
Evaluation | Presentation Skills | Quantitative Techniques for Business & Management Research
Evaluation | Presentation Skills | Quantitative Techniques for Business & Management Research
April 2019 | 352 pages | SAGE Publications, Inc
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!
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
Chapter 2. When a Single Number Is Important: Showing Mean, Frequency, and Measures of Variability
Chapter 3. How Two or More Numbers Are Alike or Different: Visualizing Comparisons
Chapter 4. How We Are Better or Worse Than a Benchmark: Displaying Relative Performance
Chapter 5. What the Survey Says: Showing Likert, Ranking, Check-All-That-Apply, and More
Chapter 6. When There Are Parts of a Whole: Visualizing Beyond the Pie Chart
Chapter 7. How This Thing Changes When That Thing Does: Communicating Correlation and Regression
Chapter 8. When the Words Have the Meaning: Visualizing Qualitative Data
Chapter 9. How Things Changed Over Time: Depicting Trends
Chapter 10. Reporting Out: Sharing Your Data With the World
Chapter 11. It’s About More Than the Buttons
INDEX
Meet the course requirements. But the author's language is not so formal. PowerPoint slides are not available.
AR Sanchez School of Business, Texas A&M International Univ
March 4, 2021
Excellent introductory text. Detailed with good worked examples
School of Social Sciences, Education & Social Work , Queen's University Belfast
September 21, 2020