Authors:
- Complete overview of data visualization
- Comprehensive coverage of the field, both in theory and practice
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Handbooks of Computational Statistics (SHCS)
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Table of contents (35 chapters)
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Front Matter
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Data Visualization
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Front Matter
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Principles
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Front Matter
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Methodologies
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Front Matter
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About this book
Reviews
From the reviews:
"This handbook shows hundreds of ways to visualize data by using modern, high-quality statistical graphics. … It is most enjoyable to see such a large number of specialists sharing their insights of these methods within one volume. This book really feeds the imagination of the reader. High-dimensionally recommended!" (Kimmo Vehkalahti, International Statistical Review, Vol. 76 (3), 2008)
Authors and Affiliations
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Academia Sinica, Institute of Statistical Science, Taipei, Taiwan, Province of China
Chun-houh Chen
Bibliographic Information
Book Title: Handbook of Data Visualization
Authors: Chun-houh Chen, Wolfgang Härdle, Antony Unwin
Series Title: Springer Handbooks of Computational Statistics
DOI: https://doi.org/10.1007/978-3-540-33037-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-33036-3Published: 18 December 2007
Softcover ISBN: 978-3-662-50074-3Published: 23 August 2016
eBook ISBN: 978-3-540-33037-0Published: 18 December 2007
Series ISSN: 2197-9790
Series E-ISSN: 2197-9804
Edition Number: 1
Number of Pages: XIII, 936
Topics: Computer Applications, Statistics and Computing/Statistics Programs, Computational Biology/Bioinformatics, Statistical Theory and Methods, Computer Imaging, Vision, Pattern Recognition and Graphics