Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

by Nathan Yau
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

by Nathan Yau

Paperback(2nd ed.)

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One of the most influential data visualization books—updated with new techniques, technologies, and examples

Visualize This demonstrates how to explain data visually, so that you can present and communicate information in a way that is appealing and easy to understand. Today, there is a continuous flow of data available to answer almost any question. Thoughtful charts, maps, and analysis can help us make sense of this data. But the data does not speak for itself. As leading data expert Nathan Yau explains in this book, graphics provide little value unless they are built upon a firm understanding of the data behind them. Visualize This teaches you a data-first approach from a practical point of view. You'll start by exploring what your data has to say, and then you'll design visualizations that are both remarkable and meaningful.

With this book, you'll discover what tools are available to you without becoming overwhelmed with options. You'll be exposed to a variety of software and code and jump right into real-world datasets so that you can learn visualization by doing. You'll learn to ask and answer questions with data, so that you can make charts that are both beautiful and useful. Visualize This also provides you with opportunities to apply what you learn to your own data. This completely updated, full-color second edition:

  • Presents a unique approach to visualizing and telling stories with data, from data visualization expert Nathan Yau
  • Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design
  • Details tools that can be used to visualize data graphics for reports, presentations, and stories, for the web or for print, with major updates for the latest R packages, Python libraries, JavaScript libraries, illustration software, and point-and-click applications
  • Contains numerous examples and descriptions of patterns and outliers and explains how to show them

Information designers, analysts, journalists, statisticians, data scientists—as well as anyone studying for careers in these fields—will gain a valuable background in the concepts and techniques of data visualization, thanks to this legendary book.

Product Details

ISBN-13: 9781394214860
Publisher: Wiley
Publication date: 05/29/2024
Edition description: 2nd ed.
Pages: 384
Sales rank: 279,430
Product dimensions: 7.38(w) x 9.24(h) x 0.65(d)

About the Author

Nathan Yau earned his PhD in Statistics at UCLA. His goal is to make data available and useful to everyone, regardless of data background. He believes that visualization is the best way to do this. You can follow his data experiments at

Table of Contents

Introduction xv

1 Telling Stories with Data 1

More than Numbers 2

Ask Questions About the Data 8

Design 14

Wrapping Up 20

2 Choosing Tools to Visualize Data 21

Mixed Toolbox 22

Point- and- Click Visualization 23

Programming 31

Mapping 40

Illustration 45

Small Visualization Tools 49

Pencil and Paper 54

Survey Your Options 55

Wrapping Up 57

3 Handling Data 59

Data Preparations 60

Finding Data 60

Collecting Data 65

Loading Data 73

Formatting Data 74

Processing Data 86

Filtering and Aggregating Sampled Data 87

Wrapping Up 89

4 Visualizing Time 91

Trends 92

Events 112

Cycles 131

Wrapping Up 141

5 Visualizing Categories 143

Amounts 144

Parts of a Whole 159

Rank and Order 176

Categories and Time 180

Wrapping Up 192

6 Visualizing Relationships 193

Correlation 194

Differences 212

Multiple Variables 225

Connections 235

Wrapping Up 243

7 Visualizing Space 245

Working with Spatial Data 246

Locations 250

Spatial Distributions 266

Space and Time 283

Wrapping Up 293

8 Analyzing Data Visually 295

Gathering Information 296

Overviews 296

Exploring Details 324

Drawing Conclusions 336

Wrapping Up 337

9 Designing with Purpose 339

Good Visualization 340

Insight for Others 344

Wrapping Up 351

Index 353

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