یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references (p. [251]-261) and indexes.
یادداشتهای مربوط به مندرجات
متن يادداشت
"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.
متن يادداشت
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.
فروست (داده ارتباطی)
عنوان
Statistics and computing
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Statistics , Graphic methods
موضوع مستند نشده
Computer graphics
موضوع مستند نشده
Electronic books. , local
رده بندی کنگره
شماره رده
E-BOOK
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )