| Leland Wilkinson - 2013 - 415 pagina’s
Written for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation ... | |
| Antony Unwin, Martin Theus, Heike Hofmann - 2006 - 276 pagina’s
This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are ... | |
| Chun-houh Chen, Wolfgang Karl Härdle, Antony Unwin - 2007 - 936 pagina’s
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 ... | |
| Steven S. Skiena - 2017 - 445 pagina’s
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the ... | |
| Julien Tierny - 2018 - 150 pagina’s
Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and ... | |
| Dianne Cook, Deborah F. Swayne - 2007 - 188 pagina’s
This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapter topics include clustering, supervised ... | |
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