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Full Product Details

Author:   Nathan Yau (UCLA)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 18.50cm , Height: 1.80cm , Length: 22.90cm
Weight:   0.748kg
ISBN:  

9780470944882

ISBN 10:   0470944889
Pages:   384
Publication Date:   08 July 2011
Audience:   General/trade ,  Professional and scholarly ,  General ,  Professional & Vocational
Replaced By:   9781394214860
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   In Print  
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

Introduction xv 1 Telling Stories with Data 1 More Than Numbers 2 What to Look For 8 Design 13 Wrapping Up 20 2 Handling Data 21 Gather Data 22 Formatting Data 38 Wrapping Up 52 3 Choosing Tools to Visualize Data 53 Out-of-the-Box Visualization 54 Programming 62 Illustration 76 Mapping 80 Survey Your Options 88 Wrapping Up 89 4 Visualizing Patterns over Time 91 What to Look for over Time 92 Discrete Points in Time 93 Continuous Data 118 Wrapping Up 132 5 Visualizing Proportions 135 What to Look for in Proportions 136 Parts of a Whole 136 Proportions over Time 161 Wrapping Up 178 6 Visualizing Relationships 179 What Relationships to Look For 180 Correlation 180 Distribution 200 Comparison 213 Wrapping Up 226 7 Spotting Differences 227 What to Look For 228 Comparing across Multiple Variables 228 Reducing Dimensions 258 Searching for Outliers 265 Wrapping Up 269 8 Visualizing Spatial Relationships 271 What to Look For 272 Specific Locations 272 Regions 285 Over Space and Time 302 Wrapping Up 325 9 Designing with a Purpose 327 Prepare Yourself 328 Prepare Your Readers 330 Visual Cues 334 Good Visualization 340 Wrapping Up 341 Index 343

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Author Information

Nathan Yau is a PhD candidate in Statistics at UCLA and a lifelong data junkie. His goal is to make data available and useful to those who aren't necessarily data experts, and he focuses on data visualization and personal data collection. You can follow his visualization experiments at http://flowingdata.com.

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