The views expressed in this article are strictly those of Max Wideman.
The contents of the book under review are the copyright property of the author.
Published here June 2020.

Introduction | Book Structure | What We Liked
Downside | Summary

Book Structure

In pictorializing data, author Stephanie Evergreen's purpose in this book is to teach readers how to select from the specific range of charts that are most suited to the type of data being presented. Not only that, but also to present the chosen chart in such a way that clearly draws attention to the particular point that the creator wishes to emphasize using all the attributes of computer color printing. Accordingly, the content of this book is set out in 11 chapters as follows:



Our Backbone: Why We Visualize



When a Single Number is Important: Showing Mean, Frequency, and Measures of Variability



How Two or More Numbers Are Alike or Different: Visualizing Comparisons



How We Are Better or Worse Than a Benchmark: Displaying Relative Performance



What the Survey Says: Showing Likert,[9] Ranking, Check-All-That-Apply, and More



When There Are Parts of a Whole: Visualizing Beyond the Pie Chart



How This Thing Changes When That Thing Does: Communicating Correlation and Regression



When the Words Have the Meaning: Visualizing Qualitative Data



How Things Changed Over Time: Depicting Trends



Reporting Out: Sharing Your Data With the World



It's About More Than the Buttons

Stephanie's book has a total of 328 pages. Each chapter[10] begins by listing a set of Learning Objectives and concludes with Exercises for the reader; Resources — where to go for further information; and References, the source of Stephanie's information. The book does not include a Glossary of Terms, but instead, has two very useful charts on the front and back covers.

So, on the back of the front cover is a graphical display of different charts for comparing different sets of numerical quantities - see Quantitative Chart Chooser. On the front of the back cover is a graphical display of different charts suitable for comparing different sets of quality measures - see Qualitative Chart Chooser.

Introduction  Introduction

9. For those who may not know, "Likert" refers to a survey scale that offers options, for selection by a contributor to respond to some particular statement, typically on a scale of 1 (low) to 5 (high).
10. With the exception of the last chapter.
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