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

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  • Edition: 1st
  • Format: Paperback
  • Copyright: 2011-07-20
  • Publisher: Wiley

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Visualize This is a guide on how to visualize and tell stories with data, providing practical design tips complemented with step-by-step tutorials. It begins with a description of the huge growth of data and visualization in industry, news, and gov't and opportunities for those who tell stories with data. Logically it moves on to actual stories in data-statistical ones with trends and human stories. the technical part comes up quickly with how to gather, parse and format data with Python, R, Excel, Google docs, etc and details tools to visualize data-native graphics for the Web like ActionScript, Flash libraries, PHP, JavaScript, CSS, HTML. Every chapter provides an example as well. Patterns over time and kinds of data charts are followed by proportions, chart types and examples. Next, examples and descriptions of outliers and how to show them, different kinds of maps, how to guide your readers and explain the data "in the visualization". The book ends with a value-add appendix on graphical perception.

Author Biography

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.

Table of Contents

Introductionp. xv
Telling Stories with Datap. 1
More Than Numbersp. 2
What to Look Forp. 8
Designp. 13
Wrapping Upp. 20
Handling Datap. 21
Gather Datap. 22
Formatting Datap. 38
Wrapping Upp. 52
Choosing Tools to Visualize Datap. 53
Out-of-the-Box Visualizationp. 54
Programmingp. 62
Illustrationp. 76
Mappingp. 80
Survey Your Optionsp. 88
Wrapping Upp. 89
Visualizing Patterns over Timep. 91
What to Look for over Timep. 92
Discrete Points in Timep. 93
Continuous Datap. 118
Wrapping Upp. 132
Visualizing Proportionsp. 135
What to Look for in Proportionsp. 136
Parts of a Wholep. 136
Proportions over Timep. 161
Wrapping Upp. 178
Visualizing Relationshipsp. 179
What Relationships to Look Forp. 180
Correlationp. 180
Distributionp. 200
Comparisonp. 213
Wrapping Upp. 226
Spotting Differencesp. 227
What to Look Forp. 228
Companing across Multiple Variablesp. 228
Reducing Dimensionsp. 258
Searching for Outliersp. 265
Wrapping Upp. 269
Visualizing Spatial Relationshipsp. 271
What to Look Forp. 272
Specific Locationsp. 272
Regionsp. 285
Over Space and Timep. 302
Wrapping Upp. 325
Designing with a Purposep. 327
Prepare Yourselfp. 328
Prepare Your Readersp. 330
Visual Cuesp. 334
Good Visualizationp. 340
Wrapping Upp. 341
Indexp. 343
Table of Contents provided by Ingram. All Rights Reserved.

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