 03.02.2008 0_00_00.jpg)
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... Categories
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Animal | Application |Art | Artificial Intelligence | Business | Certification | Commerce | Computer - Hardware | Databases | Electronics | Engineering | Grammar | History | Intelligence | Internet | IT - General | Language | Magazine | Medical | Photographic | Networking| Programming | Security | Uncategorized | WWW
1 eBook tagged "Visualization and Springer"
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Posted: February 3rd, 2008, 7:17pm CET
Tags: Handbook of Data Visualization Springer [edit]
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... Full download