Description

Book Synopsis
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.

Trade Review
A detailed handbook, Data Points is espe-cially useful for those working on scientific data visualization, guiding the reader through fascinat-ing examples of data, graph-ics, context, presentation and analytics. But this is more than a mere how-to manual. Yau reminds us that the real purpose of most visualiza-tion work is to communicate data to pragmatic ends. (Nature, May 2013) Ultimately, I would recommend this book for anyone interested in the process of design and analysis. It is about making sense of data and that is becoming a crucial skill in this digital age. (Madia Information & Technology Journal, August 2013) Data Points opens an exciting view of information blending data analysis, visual interaction, and digital storytelling the visuals are stunning. (Managing Information, October 2013)

Table of 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

Data Points

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    £27.19

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    RRP £33.99 – you save £6.80 (20%)

    Order before 4pm today for delivery by Mon 8 Jun 2026.

    A Paperback / softback by Nathan Yau

    2 in stock


      View other formats and editions of Data Points by Nathan Yau

      Publisher: John Wiley & Sons Inc
      Publication Date: 12/04/2013
      ISBN13: 9781118462195, 978-1118462195
      ISBN10: 111846219X

      Description

      Book Synopsis
      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.

      Trade Review
      A detailed handbook, Data Points is espe-cially useful for those working on scientific data visualization, guiding the reader through fascinat-ing examples of data, graph-ics, context, presentation and analytics. But this is more than a mere how-to manual. Yau reminds us that the real purpose of most visualiza-tion work is to communicate data to pragmatic ends. (Nature, May 2013) Ultimately, I would recommend this book for anyone interested in the process of design and analysis. It is about making sense of data and that is becoming a crucial skill in this digital age. (Madia Information & Technology Journal, August 2013) Data Points opens an exciting view of information blending data analysis, visual interaction, and digital storytelling the visuals are stunning. (Managing Information, October 2013)

      Table of 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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