Better data visualizations: a guide for scholars, researchers, and wonks

By:

Schwabish,Jonathan

Material type: Text

TextPublication details: Columbia University Press New York 2021Description: 449 pISBN:

9780231193115

Subject(s):

DDC classification:

001.4226 SCH

Summary: 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.

List(s) this item appears in: IT & Decision Sciences | Fiction

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	001.4226 SCH (Browse shelf(Opens below))	1	Available		004013

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Previous	001.4226 CAM Data visualization: exploring and explaining with data	001.4226 FRO Communicating with data visualisation:	001.4226 POW Mastering Microsoft power BI:	001.4226 SCH Better data visualizations:	001.4226 SRI Data visualization:	001.4226 SRI Data visualization:	001.4226 SRI Data visualization:	Next

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

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.

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