Visualize This

Auteur

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 www.flowingdata.com.

Texte du rabat

LEARN HOW TO CREATE GRAPHICS THAT TELL MEANINGFUL STORIES WITH DATA Designing charts and graphics is, first and foremost, about understanding data-- sometimes monumental amounts of data. In Visualize This, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to gather, parse, and format data, so you can design high quality graphics that maximize the data's storytelling potential. Inside, you'll learn how to use technologies like R, Python, Excel, and JavaScript to create eye-catching visualizations that communicate their message clearly and accurately. Discover how to showcase outliers, find patterns in datasets, create informational maps, and more. With real-world examples and hands-on activities, you'll hone your skills as an information designer. In this updated edition of his classic book, Nathan Yau encourages you to think creatively as you:

• Present data with visual representations that allow your audience to see the unexpected
• Find the stories your data can tell
• Explore different data sources and determine effective formats for presentation
• Experiment with and compare different visualization tools
• Look for trends and patterns in your data and select appropriate ways to chart them
• Establish clear goals to guide your visualizations Visit the companion web site at www.book.flowingdata.com/vt2/ for code samples, downloadable data files, and interactive examples.

Contenu

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