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Data Points: Visualization That Means Something


Data Points: Visualization That Means Something

Paperback by Yau, Nathan

Data Points: Visualization That Means Something

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£28.89

ISBN:
9781118462195
Publication Date:
12 Apr 2013
Language:
English
Publisher:
John Wiley & Sons Inc
Pages:
320 pages
Format:
Paperback
For delivery:
Estimated despatch 23 May 2024
Data Points: Visualization That Means Something

Description

A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something.

Contents

Introduction xi 1 Understanding Data 1 What Data Represents 2 Variability 20 Uncertainty 30 Context 35 Wrapping Up 41 2 Visualization: The Medium 43 Analysis and Exploration 45 Information Graphics and Presentation 58 Entertainment 69 Data Art 74 The Everyday 81 Wrapping Up 89 3 Representing Data 91 Visualization Components 93 Putting It Together 115 Wrapping Up 132 4 Exploring Data Visually 135 Process 136 Visualizing Categorical Data 143 Visualizing Time Series Data 154 Visualizing Spatial Data 165 Multiple Variables 176 Distributions 193 Wrapping Up 199 5 Visualizing with Clarity 201 Visual Hierarchy 202 Readability 205 Highlighting 221 Annotation 228 Do the Math 236 Wrapping Up 239 6 Designing for an Audience 241 Common Misconceptions 242 Present Data to People 254 Things to Consider 258 Putting It Together 268 Wrapping Up 273 7 Where to Go from Here 277 Visualization Tools 278 Programming 283 Illustration 288 Statistics 289 Wrapping Up 289 Index 291

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