Effective Data Visualization: The Right Chart for the Right Data
Authors: Stephanie Evergreen
ISBN-10: 1544350880
ISBN-13: 9781544350882
Edition 版本: Second
Released: 2019-05-14
Print Length 页数: 352 pages
Book Description
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 data findings. This comprehensive how-to guide functions as a set of blueprints―supported by 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 making the chosen graph in Excel. New to the Second Edition is a completely re-written chapter on qualitative data; inclusion of 9 new quantitative graph types; new shortcuts in Excel; and entirely new chapter on Sharing Your Data with the World which includes advice on using dashboards; and lots of new examples throughout. The Second Edition is also presented in full color.
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
