Author:
Edition: 1
Binding: Hardcover
ISBN: 3540330364
Publisher: Springer
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Edition: 1
Binding: Hardcover
ISBN: 3540330364
Publisher: Springer
Features:
Handbook of Data Visualization (Springer Handbooks of Computational Statistics)
Visualizing the data is an essential part of any data analysis. Search and download computer ebooks Handbook of Data Visualization (Springer Handbooks of Computational Statistics) for free.
Handbook of Data Visualization , ISBN-13: 9783540330363, ISBN-10: 3540330364. Download Handbook of Data Visualization computer ebooks
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
Handbook Of Data Visualization (2008 Edition)
Springer 9783540330363 Handbook of Data Visualization (2008 Edition) Description 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 book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also exami
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
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 an
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 an
Handbook of Data Visualization Free
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
odern 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
