Computational Statistics and Data Visualization

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Computational Statistics and Data Visualization

Author Info

Antony Unwin
Chun-houh Chen
Wolfgang Härdle

Additional information is available for the following registered author(s):

Wolfgang Karl Härdle

Abstract

This book is the third volume of the Handbook of Computational Statistics and covers the field of Data Visualization. In line with the companion volumes, it contains a collection of chapters by experts in the field to present readers with an up-to-date and comprehensive overview of the state of the art. Data Visualization is an active area of application and research and this is a good time to gather together a summary of current knowledge. Graphic displays are often very effective at communicating information. They are also very often not effective at communicating information. Two important reasons for this state of affairs are that graphics can be produced with a few clicks of the mouse without any thought, and that the design of graphics is not taken seriously in many scientific textbooks. Some people seem to think that preparing good graphics is just a matter of common sense (in which case their common sense cannot be in good shape) and others believe that preparing graphics is a low-level task, not appropriate for scientific attention. This volume of the Handbook of Computational Statistics takes graphics for Data Visualization seriously.

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Publisher Info
Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2007-020.

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Length: 12 pages
Date of creation: Apr 2007
Date of revision:
Handle: RePEc:hum:wpaper:sfb649dp2007-020

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Find related papers by JEL classification:
C00 - Mathematical and Quantitative Methods - - General - - - General
C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Other
C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Microeconomic Data
C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

This paper has been announced in the following NEP Reports:

NEP-ALL-2007-04-28 (All new papers)

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This page was last updated on 2009-11-25.

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