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Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks [Pehme köide]

  • Formaat: Paperback / softback, 464 pages, kõrgus x laius: 229x178 mm, 533 color charts, graphs, and illustrations. 1 table
  • Ilmumisaeg: 09-Feb-2021
  • Kirjastus: Columbia University Press
  • ISBN-10: 0231193114
  • ISBN-13: 9780231193115
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  • Formaat: Paperback / softback, 464 pages, kõrgus x laius: 229x178 mm, 533 color charts, graphs, and illustrations. 1 table
  • Ilmumisaeg: 09-Feb-2021
  • Kirjastus: Columbia University Press
  • ISBN-10: 0231193114
  • ISBN-13: 9780231193115
Teised raamatud teemal:
"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.

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.

Arvustused

An excellent primer for anyone who wants to display quantitative information clearly and powerfully. -- Robert B. Reich, Chancellors Professor of Public Policy, University of California at Berkeley, and former U.S. secretary of labor 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 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 For many of us, its tough to understand data without visuals. But visualizing data is hard! This book is the authoritative guide. Its terrificand spectacularly useful. -- Cass R. Sunstein, Harvard Law School, and author of Too Much Information 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. Youll be inspired andas promisedlearn better data visualization! -- Cole Nussbaumer Knaflic, author of Storytelling with Data: A Data Visualization Guide for Business Professionals 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 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 todays 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 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 Not only is the book well designed from fonts to white space, its also well written and enjoyable to read. * Technical Communication *

Introduction 1(12)
PART ONE PRINCIPLES OF DATA VISUALIZATION
1 Visual Processing And Perceptual Rankings
13(16)
Anscombes Quartet
20(2)
Gestalt Principles of Visual Perception
22(3)
Preattentive Processing
25(4)
2 Five Guidelines For Better Data Visualizations
29(24)
Guideline 1 Show the Data
29(2)
Guideline 2 Reduce the Clutter
31(2)
Guideline 3 Integrate the Graphics and Text
33(8)
Guideline 4 Avoid the Spaghetti Chart
41(2)
Guideline 5 Start with Gray
43(10)
3 Form And Function: Let Your Audience's Needs Drive Your Data Visualization Choices
53(14)
Changing How We Interact with Data
61(1)
Lets Get Started
62(5)
PART TWO CHART TYPES
4 Comparing Categories
67(66)
Bar Charts
68(16)
Paired Bar
84(3)
Stacked Bar
87(5)
Diverging Bar
92(5)
Dot Plot
97(5)
Marimekko and Mosaic Charts
102(4)
Unit, Isotype, and Waffle Charts
106(6)
Heatmap
112(6)
Gauge and Bullet Charts
118(3)
Bubble Comparison and Nested Bubbles
121(5)
Sankey Diagram
126(3)
Waterfall Chart
129(1)
Conclusion
130(3)
5 Time
133(46)
Line Chart
133(16)
Circular Line Chart
149(1)
Slope Chart
150(2)
Sparklines
152(1)
Bump Chart
153(2)
Cycle Chart
155(2)
Area Chart
157(2)
Stacked Area Chart
159(3)
Streamgraph
162(2)
Horizon Chart
164(2)
Gantt Chart
166(4)
Flow Charts and Timelines
170(5)
Connected Scatterplot
175(2)
Conclusion
177(2)
6 Distribution
179(38)
Histogram
179(6)
Pyramid Chart
185(2)
Visualizing Statistical Uncertainty with Charts
187(9)
Box-and-Whisker Plot
196(3)
Candlestick Chart
199(1)
Violin Chart
200(1)
Ridgeline Plot
201(3)
Visualizing Uncertainty by Showing the Data
204(10)
Stem-and-LeafPlot
214(1)
Conclusion
215(2)
7 Geospatial
217(32)
Choropleth Map
220(13)
Cartogram
233(10)
Proportional Symbol and Dot Density Maps
243(2)
Flow Map
245(3)
Conclusion
248(1)
8 Relationship
249(40)
Scatterplot
249(14)
Parallel Coordinates Plot
263(4)
Radar Charts
267(2)
Chord Diagram
269(3)
Arc Chart
272(3)
Correlation Matrix
275(2)
Network Diagrams
277(7)
Tree Diagrams
284(3)
Conclusion
287(2)
9 Part-To-Whole
289(22)
Pie Charts
289(8)
Treemap
297(2)
Sunburst Diagram
299(1)
Nightingale Chart
300(4)
Voronoi Diagram
304(5)
Conclusion
309(2)
10 Qualitative
311(16)
Icons
311(1)
Word Clouds and Specific Words
312(4)
Word Trees
316(2)
Specific Words
318(1)
Quotes
319(2)
Coloring Phrases
321(3)
Matrices and Lists
324(1)
Conclusion
325(2)
11 Tables
327(22)
The Ten Guidelines of Better Tables
329(9)
Demonstration: A Basic Data Table Redesign
338(3)
Demonstration: A Regression Table Redesign
341(3)
Conclusion
344(5)
PART THREE DESIGNING AND REDESIGNING YOUR VISUAL
12 Developing A Data Visualization Style Guide
349(20)
The Anatomy of a Graph
352(6)
Color Palettes
358(4)
Defining Fonts for the Style Guide
362(2)
Guidance for Specific Graph Types
364(1)
Exporting Images
365(1)
Accessibility, Diversity, and Inclusion
366(2)
Putting it All Together
368(1)
13 Redesigns
369(22)
Paired Bar Chart: Acreage for Major Field Crops
369(3)
Stacked Bar Chart: Service Delivery
372(2)
Line Chart: The Social Security Trustees
374(4)
Choropleth Map: Alabama Slavery and Senate Elections
378(2)
Dot Plot: The National School Lunch Program
380(2)
Dot Plot: GDP Growth in the United States
382(3)
Line Chart: Net Government Borrowing
385(2)
Table: Firm Engagement
387(2)
Conclusion
389(2)
CONCLUSION
391(6)
APPENDIX 1 DATA VISUALIZATION TOOLS
397(6)
APPENDIX 2 FURTHER READING AND RESOURCES
403(10)
General Data Visualization Books
403(2)
Historical Data Visualization Books
405(1)
Books on Data Visualization Tools
405(1)
Data Visualization Libraries
406(1)
Where to Practice
407(2)
Acknowledgments
409(4)
References 413(18)
Index 431
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).