Effective Data Visualization The Right Chart for the Right Data 2e Stephanie D. H. Evergreen
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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.
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
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.
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
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