3 eBooks tagged "Visualization and Data"

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Handbook of Data Visualization (Springer Handbooks of Computational Statistics)
Posted: February 3rd, 2008, 7:17pm CET

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Note: With 569 Figures and 50 Tables. Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization methods, both in theory and practice. There are definitive chapters on modern graphical tools such as mosaic plots, parallel coordinate plots and linked views. There are chapters dedicated to graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well as chapters on software for graphics. Specialists from all over the world have contributed papers on their areas of expertise. Table of Contents I. Data Visualization I.1 Introduction II. Principles II.1 A Brief History of Data Visualization II.2 Good Graphics? II.3 Static Graphics II.4 Data Visualization Through Their Graph Representations II.5 Graph-theoretic Graphics II.6 High-dimensional Data Visualization II.7 Multivariate Data Glyphs: Principles and Practice II.8 Linked Views for Visual Exploration II.9 Linked Data Views II.10 Visualizing Trees and Forests III. Methodologies III.1 Interactive Linked Micromap Plots for the Display of Geographically Referenced Statistical Data III.2 Grand Tours, Projection Pursuit Guided Tours, and Manual Controls III.3 Multidimension Read more...

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Lattice: Multivariate Data Visualization with R
Posted: February 23rd, 2008, 6:46pm CET by Ice Zero

Tags:  Lattice Multivariate Data Visualization with   [edit]

Publisher: Springer; 1 edition
Language: English
ISBN: 0387759689
Paperback: 288 pages
Data: March 13, 2008
Format: PDF
Description: R is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry. Lattice brings the proven design of Trellis graphics (originally developed for S by William S. Cleveland and colleagues at Bell Labs) to R, considerably expanding its capabilities in the process. Lattice is a powerful and elegant high level data visualization system that is sufficient for most everyday graphics needs, yet flexible enough to be easily extended to handle demands of cutting edge research. Written by the author of the lattice system, this book describes it in considerable depth, beginning with the essentials and systematically delving into specific low levels details as necessary. No prior experience with lattice is required to read the book, although basic familiarity with R is assumed. The book contains close to 150 figures produced with lattice. Many of the examples emphasize principles of good graphical design; almost all use real data sets that are publicly available in various R packages. All code and figures in the book are also available online, along with supplementary material covering more advanced topics.

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Lattice: Multivariate Data Visualization with R (Use R)
Posted: February 23rd, 2008, 6:40am CET

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Robin Sharp “Lattice: Multivariate Data Visualization with R (Use R)"
Springer | 2008-03-13 | ISBN: 0387759689 | PDF | 288 pages | 8,3 Mb