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.
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.
2012. Why Most PowerPoint Presentations Suck and How You Can Make Them Better. Pleasanton, CA: Harvest. Aron, Laudan Y., Lisa Dubay, Elaine Waxman, and Steven Martin. 2015. To Understand Climbing Death Rates Among White Americans, ...
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization.
This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story.
Naomi Robbins wrote a good article about this for Forbes that you can find at bigpic.me/histogram. * From RJ Andrews's translation of Minard's treatise On Graphic. FIGURE 1.8 Call volume in a text table. This view WHy NumbERs ARE NoT ...
This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures.
This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually.
Simon offers a nuanced and refreshing view on contemporary data visualization through compelling storytelling, and yes, great visuals.” Terri L. Griffith, Chair, Management Department, Santa Clara University; Author of The Plugged-In ...
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 ...
Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping. This book is much more than a set of static rules for making visualizations.