Effective Data Visualization
eBook - ePub

Effective Data Visualization

The Right Chart for the Right Data

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Effective Data Visualization

The Right Chart for the Right Data

About this book

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!

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Yes, you can access Effective Data Visualization by Stephanie D. H. Evergreen in PDF and/or ePUB format, as well as other popular books in Social Sciences & Meetings & Presentations. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Publisher Note
  3. Half Title
  4. Publisher Note
  5. Title Page
  6. Copyright Page
  7. /// Brief Contents
  8. /// Detailed Contents
  9. /// Preface
  10. /// Acknowledgments
  11. /// About the Author
  12. Chapter 1 Our Backbone Why We Visualize
  13. Chapter 2 When a Single Number Is Important Showing Mean, Frequency, and Measures of Variability
  14. Chapter 3 How Two or More Numbers Are Alike or Different Visualizing Comparisons
  15. Chapter 4 How We Are Better or Worse Than a Benchmark Displaying Relative Performance
  16. Chapter 5 What the Survey Says Showing Likert, Ranking, Check-All-That-Apply, and More
  17. Chapter 6 When There Are Parts of a Whole Visualizing Beyond the Pie Chart
  18. Chapter 7 How This Thing Changes When That Thing Does Communicating Correlation and Regression
  19. Chapter 8 When the Words Have the Meaning Visualizing Qualitative Data
  20. Chapter 9 How Things Changed Over Time Depicting Trends
  21. Chapter 10 Reporting Out Sharing Your Data With the World
  22. Chapter 11 It’s About More Than the Buttons
  23. Index
  24. Publisher Note