Statistics and Computing

New York, NY : Springer New York , 2012

1 online resource (265 p.)

Description based upon print version of record.. - Visualizing Time; Preface; Acknowledgements; A Note on the Figures; Contents; 1 History; 1.1 The Importance of Time; 1.2 Ancient Visualizations of Time; 1.2.1 Summary; 1.3 Playfair; 1.3.1 Summary; 1.4 Napoleon's March; 1.4.1 A Fortunate Correlation; 1.4.2 Summary; 1.5 Comic Books; 1.5.1 Summary; 1.6 Further Exploration; 2 Framework; 2.1 How to Speak Visualization; 2.2 Elements; 2.2.1 Point; 2.2.2 Line; 2.2.3 Area; 2.2.4 Interval; 2.2.5 Schema; 2.2.6 Multiple Elements; 2.3 Statistics; 2.3.1 Local Smooths; 2.3.2 Complex Statistics; 2.4 Aesthetics; 2.4.1 Categorical and Continuous Aesthetics. - 2.4.2 Combining Aesthetics2.5 Coordinates and Faceting; 2.5.1 Coordinates; 2.5.2 Faceting; 2.6 Additional Features: Guides, Interactivity, Styles; 2.6.1 Guides; 2.6.2 Interactivity; 2.6.3 Styles; 2.7 Summary; 2.8 Further Exploration; 3 Designing Visualizations; 3.1 Guiding Principles; 3.1.1 The GQM Methodology; 3.2 Goals; 3.2.1 Presenting What Is Important; 3.2.2 Seeing General Patterns; 3.2.3 Spotting Unusual Features; 3.3 Questions; 3.3.1 One Variable: Unusual Values; 3.3.2 One Variable: Showing Distribution; 3.3.3 Two Variables: Showing Relationships and Unusual Values. - 3.3.3.1 Trends: One Variable Varying Over Time3.3.4 Multiple Variables: Conditional Relationships, Groups, and Unusual Relationships; 3.3.5 Multiple Variables: Showing Models; 3.4 Mappings; 3.5 Systems of Visualizations; 3.5.1 Narrative Structure; 3.5.2 Consistency; 3.5.3 Stereotypes; 3.6 Top-Down Versus Bottom-Up; 3.7 Summary; 3.8 Further Exploration; 4 Types of Data; 4.1 Four-Minute Mile, Day of the Week, Bottom of the Ninth; 4.1.1 Scales of Measurement; 4.1.2 Form Follows Function; 4.2 Events and Intervals; 4.3 Regular and Irregular Data; 4.4 Date and Time Formats; 4.5 Summary. - 4.6 Further Exploration5 Time as a Coordinate; 5.1 Put It on the Horizontal Axis; 5.2 Event Occurrences; 5.2.1 Many Events; 5.3 Regular Categorical Sequences; 5.3.1 Patterns in Sequences; 5.4 Summary; 5.5 Further Exploration; 6 Coordinate Systems, Transformations, Faceting, and Axes; 6.1 Time Series; 6.1.1 Aspect Ratio; 6.2 Coordinate Transformations; 6.3 Axes; 6.3.1 Drawing Time Axes; 6.3.2 Formatting Time Ticks; 6.4 Faceting; 6.4.1 Faceting by Time; 6.4.2 Faceting Complexity; 6.4.3 Time Within a Faceting; 6.4.4 Faceting When Data Are Not Categorical; 6.5 Summary; 6.6 Further Exploration. - 7 Aesthetics7.1 Time as a Main Aesthetic; 7.1.1 Representing Counts; 7.1.2 Summarizing and Splitting Aesthetics; 7.2 Specific Aesthetics; 7.2.1 Coloring by Time; 7.2.2 Sizing by Time; 7.2.3 Shaping by Time; 7.2.4 Other Aesthetics and Time; 7.3 Time as a Secondary Aesthetic; 7.4 Summary; 7.5 Further Exploration; 8 Transformations; 8.1 Distortions of Time; 8.2 Time as Frequency; 8.3 Converting Between Categorical and Continuous; 8.3.1 From Categories to Continuous; 8.3.2 From Continuous to Categories; 8.4 Summary; 8.5 Further Exploration; 9 Interactivity; 9.1 A Framework for Interactivity. - 9.1.1 Display Pipeline. - Art, or Science? Which of these is the right way to think of the field of visualization? This is not an easy question to answer, even for those who have many years experience in making graphical depictions of data with a view to help people understand it and take action. In this book, Graham Wills bridges the gap between the art and the science of visually representing data. He does not simply give rules and advice, but bases these on general principles and provide a clear path between them This book is concerned with the graphical representation of time data and is written to cover a range of

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