Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks

Biographical Note:
Jonathan Schwabish is an economist and writer, teacher, and creator of policy-relevant data visualizations. He helps nonprofits, research institutions, and governments at all levels improve how they communicate their work and findings to their colleagues, partners, clients, and constituents. He is the author of Better Presentations: A Guide for Scholars, Researchers, and Wonks (Columbia, 2016).

Brief Description:
"Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do's and don'ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart's design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message"--

Review Quotes:
Better Data Visualizations is a practical guide to a large catalogue of chart types. No other book introduces the reader to specific chart types with such detail and finesse. It is an excellent resource for students, analysts, and researchers alike.--Alberto Cairo, author of How Charts Lie: Getting Smarter About Visual Information

Review Quotes:
This is an immensely practical guide to more effective communication through data visualization. From basic principles, to an extensive taxonomy of visualization types, to developing a style guide, this will be an invaluable and accessible read for anyone who needs to turn data into information.--Mara Averick, RStudio

Review Quotes:
Too often, good data falls prey to bad or lazy visualizations. At last, an indispensable guide for presenting your work intelligibly and compellingly.--DJ Patil, former U.S. chief data scientist

Review Quotes:
Better Data Visualizations carefully teaches the reader when to use which type of visualization and why. This engaging book takes you from the basics to the entire breadth of today's visualization methods. There are hundreds of clear, elegant, and varied visualizations to give you ideas for your own work.--Max Roser, founder and director, Our World in Data

Review Quotes:
An excellent primer for anyone who wants to display quantitative information clearly and powerfully.--Robert B. Reich, Chancellor's Professor of Public Policy, University of California at Berkeley, and former U.S. secretary of labor

Review Quotes:
For many of us, it's tough to understand data without visuals. But visualizing data is hard! This book is the authoritative guide. It's terrific--and spectacularly useful.--Cass R. Sunstein, Harvard Law School, and author of Too Much Information

Review Quotes:
A stellar variety and number of visualizations are included in these pages, an enjoyable-to-read encyclopedia of graphs. Jonathan Schwabish provides practical considerations for when to use which visual and thoughtful design guidelines in this excellent resource for those who work and communicate with data. You'll be inspired and--as promised--learn better data visualization!--Cole Nussbaumer Knaflic, author of Storytelling with Data: A Data Visualization Guide for Business Professionals

Review Quotes:
Navigating the myriad chart types available today can be a daunting experience. This book provides you with not only a guiding light but also an important foundation in the burgeoning field of data visualization. You will want to keep its set of principles and guidelines right next to you in your next project.--Manuel Lima, author of The Book of Circles: Visualizing Spheres of Knowledge

Table of Contents:

Introduction
Part I: Principles of Data Visualization
1. Visual Processing and Perceptual Rankings
2. Five Guidelines for Better Data Visualizations
3. Form and Function
Part II: Chart Types
4. Comparing Categories
5. Time
6. Distribution
7. Geospatial
8. Relationship
9. Part-to-Whole
10. Qualitative
11. Tables
Part III: Designing and Redesigning Your Visual
12. Developing a Data Visualization Style Guide
13. Redesigns
Conclusion
Appendix 1. Data Visualization Tools
Appendix 2. Further Reading and Resources
Acknowledgments
References
Index

Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually.