عنوان

Graphics of large datasets

0387329064

IR

EN-52957

انگلیسی

IR

Graphics of large datasets

[Book]

:visualizing a million

/ Antony Unwin, Martin Theus, Heike Hofmann

New York

: Springer,

, c2006.

xiii, 271 p. , ill. (some col.)

(Statistics and computing)

Electronic

Includes bibliographical references (p. [251]-261) and indexes.

"Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace today? 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. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. Data analysts, statisticians, computer scientists - indeed anyone who has to explore a large dataset of their own - should benefit from reading this book."--BOOK JACKET.

Cover -- Contents -- 1 Introduction -- 1.1 Introduction -- 1.2 Data Visualization -- 1.3 Research Literature -- 1.4 How Large Is a Large Dataset? -- 1.5 The Effects of Largeness -- 1.5.1 Storage -- 1.5.2 Quality -- 1.5.3 Complexity -- 1.5.4 Speed -- 1.5.5 Analyses -- 1.5.6 Displays -- 1.5.7 Graphical Formats -- 1.6 What Is in This Book -- 1.7 Software -- 1.8 What Is on the Website -- 1.8.1 Files and Code for Figures -- 1.8.2 Links to Software -- 1.8.3 Datasets -- 1.9 Contributing Authors -- Part I: Basics -- 2 Statistical Graphics -- 2.1 Introduction -- 2.2 Plots for Categorical Data -- 2.3 Plots for Continuous Data -- 2.4 Data on Mixed Scales -- 2.5 Maps -- 2.6 Contour Plots and Image Maps -- 2.7 Time Series Plots -- 2.8 Structure Plots -- 3 Scaling Up Graphics -- 3.1 Introduction -- 3.2 Upscaling as a General Problem in Statistics -- 3.3 Area Plots -- 3.4 Point Plots -- 3.5 From Areas to Points and Back -- 3.6 Modifying Plots -- 3.7 Summary -- 4 Interacting with Graphics -- 4.1 Introduction -- 4.2 Interaction -- 4.3 Interaction and Data Displays -- 4.4 Interaction and Large Datasets -- 4.5 New Interactive Tasks -- 4.6 Summary and Future Directions -- Part II: Applications -- 5 Multivariate Categorical Data - Mosaic Plots -- 5.1 Introduction -- 5.2 Area-based Displays -- 5.3 Displays and Techniques in One Dimension -- 5.4 Mosaic Plots -- 5.5 Summary -- 6 Rotating Plots -- 6.1 Introduction -- 6.2 Beginning to Work with a Million Cases -- 6.3 Software System -- 6.4 Application -- 6.5 Current and Future Developments -- 7 Multivariate Continuous Data - Parallel Coordinates -- 7.1 Introduction -- 7.2 Interpolations and Inner Products -- 7.3 Generalized Parallel Coordinate Geometry -- 7.4 A New Family of Smooth Plots -- 7.5 Examples -- 7.6 Detecting Second-Order Structures -- 7.7 Summary -- 8 Networks -- 8.1 Introduction -- 8.2 Layout Algorithms -- 8.3 Interactivity -- 8.4 NicheWorks -- 8.5 Example: International Calling Fraud -- 8.6 Languages for Description and Layouts -- 8.7 Summary -- 9 Trees -- 9.1 Introduction -- 9.2 Growing Trees for Large Datasets -- 9.3 Visualization of Large Trees -- 9.4 Forests for Large Datasets -- 9.5 Summary -- 10 Transactions -- 10.1 Introduction and Background -- 10.2 Mice and Elephant Plots and Random Sampling -- 10.3 Biased Sampling -- 10.4 Quantile Window Sampling -- 10.5 Commonality of Flow Rates -- 11 Graphics of a Large Dataset -- 11.1 Introduction -- 11.2 QuickStart Guide Data Visualization for Large Datasets -- 11.3 Visualizing the InfoVis 2005 Contest Dataset -- References -- Authors -- Index -- Last Page.

Statistics and computing

Statistics , Graphic methods

Computer graphics

Electronic books. , local

Unwin, Antony.

Theus, Martin

Hofmann, Heike

ایران

9780387329062.pdf

عادی

عادی

9780387329062.pdf

متن

old catalog

e

BL

1

a

Y