Effective Data Visualization: The Right Chart for the Right Data - Softcover

Evergreen, Stephanie

Softcover

ISBN 10: 1506303056 ISBN 13: 9781506303055

Publisher: SAGE Publications, Inc, 2016

Synopsis

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.

About this title

About the Author

Dr. Stephanie D. H. Evergreen is a sought-after speaker, designer, and researcher. She is best known for bringing a research-based approach to helping others better communicate their work through more effective graphs, slides, and reports. She holds a PhD from Western Michigan University in interdisciplinary research, which included a dissertation on the extent of graphic design use in written data reporting. Dr. Evergreen has trained audiences worldwide through keynote presentations and workshops for clients, such as Verizon, Head Start, American Institutes for Research, Brookings Institute, the Ad Council, Boys and Girls Club of America, and the United Nations. She led the first known attempt to revamp the quality of presentations for an entire association: the Potent Presentations Initiative for the American Evaluation Association (AEA). She is the 2015 recipient of the AEA’s Marcia Guttentag Promising New Evaluator Award, which recognizes early notable and substantial accomplishments in the field. Dr. Evergreen is coeditor and coauthor of two issues of New Directions for Evaluation on data visualization. She writes a popular blog on data presentation at StephanieEvergreen.com. Her book, Presenting Data Effectively: Communicating Your Findings for Maximum Impact, was published by Sage in Fall 2013 and was listed as number one in Social Science Research on Amazon in the United States and United Kingdom for several weeks.

Review

This text brings data visualization in to the twenty-first century. It is a definitive guide for students and practitioners in presenting data with clarity and lucidity.
Author: David Boyns

Very approachable writing style, clear examples and instructions make this a "must-have" for anyone who has to present data. Author: Thomas Cappaert

I love this book. It opened me up to so many possibilities that I didn’t know existed in Excel. The author really helps you build these skills though thoughtful exercises. She uses her real-world experience to open the "black-box" behind graphing techniques. I can’t wait to use these skills for my next batch of research projects. The competition at the professional conferences will be amazed by our ninja skills. Author: John O. Elliott

This run-to-read and easy-to-use book can boost your visual presentation by making it right to the point! Author: Shun-Yung Kevin Wang

Effective Data Visualization sets a new standard for the practical presentation data using Excel. It provides impressive graphics and hands on details on when and  how to present them to various audiences. Any instructor who works with students seeking an advanced professional degree should consider adopting this text.

Author: Brian Frederick

This book is an excellent guide for creating innovative and intentional graphics that can frequently speak for themselves. Stephanie not only shows you how to create visually appealing charts and graphics, but she also explains why it matters.

Author: Mindy Hightower King

Edition details

• Publisher: SAGE Publications, Inc
• Publication date: 2016
• ISBN 10: 1506303056
• ISBN 13: 9781506303055
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 264