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Computer Science - Information Systems and Applications | Handbook of Data Visualization

Handbook of Data Visualization

Chen, Chun-houh, Härdle, Wolfgang Karl, Unwin, Antony (Eds.)

2008

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  • Complete overview of data visualization
  • Comprehensive coverage of the field, both in theory and practice

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 examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics. Specialists from all over the world have contributed papers on their areas of expertise to this volume.

Content Level » Research

Keywords » Analysis - Cluster analysis - Fitting - Java - Projection pursuit - XML - best fit - computer - data analysis - multidimensional scaling - statistics - visualization

Related subjects » Bioinformatics - Computational Statistics - Image Processing - Information Systems and Applications - Statistical Theory and Methods

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