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Graphics of Large Datasets Visualizing a Million

:	Antony Unwin, Martin Theus, Heike Hofmann
:	Graphics of Large Datasets Visualizing a Million
:	Springer-Verlag
:	9780387379777
:	1
:	CHF 70.40
:

:	Sonstiges
:	English

:	271
:	Wasserzeichen
:	PC/MAC/eReader/Tablet
:	PDF

This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are illustrated with displays from analyses of real datasets and the importance of interpreting displays effectively is emphasized. Graphics should be drawn to convey information and the book includes many insightful examples. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. The book is accessible to readers with some experience of drawing statistical graphics.

	Preface	7
	Contents	10
	1 Introduction	15
	1.1 Introduction	15
	1.2 Data Visualization	18
	1.3 Research Literature	21
	1.4 How Large Is a Large Dataset?	23
	1.5 The Effects of Largeness	31
	1.6 What Is in This Book	36
	1.7 Software	37
	1.8 What Is on the Website	38
	1.9 Contributing Authors	40
	Basics	42
	2 Statistical Graphics	43
	2.1 Introduction	43
	2.2 Plots for Categorical Data	43
	2.3 Plots for Continuous Data	48
	2.4 Data on Mixed Scales	56
	2.5 Maps	59
	2.6 Contour Plots and Image Maps	61
	2.7 Time Series Plots	62
	2.8 Structure Plots	63
	3 Scaling Up Graphics	67
	3.1 Introduction	67
	3.2 Upscaling as a General Problem in Statistics	67
	3.3 Area Plots	68
	3.4 Point Plots	74
	3.5 From Areas to Points and Back	79
	3.6 Modifying Plots	83
	3.7 Summary	84
	4 Interacting with Graphics	85
	4.1 Introduction	85
	4.2 Interaction	86
	4.3 Interaction and Data Displays	87
	4.4 Interaction and Large Datasets	100
	4.5 New Interactive Tasks	110
	4.6 Summary and Future Directions	113
	Applications	114
	5 Multivariate Categorical Data — Mosaic Plots	115
	5.1 Introduction	115
	5.2 Area-based Displays	115
	5.3 Displays and Techniques in One Dimension	117
	5.4 Mosaic Plots	123
	5.5 Summary	133
	6 Rotating Plots	135
	6.1 Introduction	135
	6.2 Beginning to Work with a Million Cases	138
	6.3 Software System	145
	6.4 Application	147
	6.5 Current and Future Developments	150
	7 Multivariate Continuous Data — Parallel Coordinates	152
	7.1 Introduction	152
	7.2 Interpolations and Inner Products	153
	7.3 Generalized Parallel Coordinate Geometry	154
	7.4 A New Family of Smooth Plots	158
	7.5 Examples	159
	7.6 Detecting Second–Order Structures	163
	7.7 Summary	164
	8 Networks	165
	8.1 Introduction	165
	8.2 Layout Algorithms	166
	8.3 Interactivity	170
	8.4 NicheWorks	174
	8.5 Example: International Calling Fraud	175
	8.6 Languages for Description and Layouts	180
	8.7 Summary	182
	9 Trees	184
	9.1 Introduction	184
	9.2 Growing Trees for Large Datasets	185
	9.3 Visualization of Large Trees	194
	9.4 Forests for Large Datasets	205
	9.5 Summary	209
	10 Transactions	210
	10.1 Introduction and Background	210
	10.2 Mice and Elephant Plots and Random Sampling	212
	10.3 Biased Sampling	217
	10.4 Quantile Window Sampling	222
	10.5 Commonality of Flow Rates	228
	11 Graphics of a Large Dataset	234
	11.1 Introduction	234
	11.2 QuickStart Guide Data Visualization for Large Datasets	235
	11.3 Visualizing the InfoVis 2005 Contest Dataset	236
	References	257
	Authors	268
	Index	272