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Better data visualizations : a guide for scholars, researchers, and wonks / Jonathan Schwabish.

De Gruyter Columbia University Press Complete eBook-Package 2021 Available online

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EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Schwabish, Jonathan A., author.
Language:
English
Subjects (All):
Information visualization.
Visual analytics.
Physical Description:
1 online resource (368 pages) : illustrations
Place of Publication:
New York : Columbia University Press, [2021]
System Details:
Mode of access: World Wide Web.
Summary:
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.
Contents:
Frontmatter
CONTENTS
INTRODUCTION
PART ONE: PRINCIPLES OF DATA VISUALIZATION
1. VISUAL PROCESSING AND PERCEPTUAL RANKINGS
2. FIVE GUIDELINES FOR BETTER DATA VISUALIZATIONS
3. FORM AND FUNCTION: LET YOUR AUDIENCE'S NEEDS DRIVE YOUR DATA VISUALIZATION CHOICES
PART TWO: CHART TYPES
4. COMPARING CATEGORIES
5. TIME
6. DISTRIBUTION
7. GEOSPATIAL
8. RELATIONSHIP
9. PART-TO-HOLE
10. QUALITATIVE
11. TABLES
PART THREE: 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
Notes:
Includes bibliographical references and index.
Description based on print version record.
ISBN:
9780231550154
0231550154
OCLC:
1164823539

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