Making Sense of Data III: A Practical Guide to Des igning Interactive Data Visualizations
Autor GJ Myatten Limba Engleză Paperback – 24 noi 2011
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Specificații
ISBN-13: 9780470536490
ISBN-10: 0470536497
Pagini: 408
Dimensiuni: 156 x 234 x 21 mm
Greutate: 0.5 kg
Editura: Wiley
Locul publicării:Hoboken, United States
ISBN-10: 0470536497
Pagini: 408
Dimensiuni: 156 x 234 x 21 mm
Greutate: 0.5 kg
Editura: Wiley
Locul publicării:Hoboken, United States
Public țintă
As a reference for computational statisticians, software engineers, and researchers and professionals of any discipline who are interested in approaches to visualization and user interfaces in statistics and data mining; also appropriate for professionals interested in how to explore their datasets interactively and dynamically through graphics; as a textbook for graduate students in data analysis and data mining courses and also in a cross disciplinary course in statistics and computer science; and academic and corporate libraries.Cuprins
Notă biografică
GLENN J. MYATT, PhD, is cofounder and Chief Scientific Officer of Leadscope, Inc., and a Partner at Myatt & Johnson, Inc. Dr. Myatt is the author of Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining and the coauthor of Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications, both published by Wiley. WAYNE P. JOHNSON, MSc., is cofounder of Leadscope, Inc., and a Partner at Myatt & Johnson, Inc. He has over thirty years of experience in the design and development of large software systems and currently focuses his work on human-computer interaction, information visualization, and methodologies for contextual inquiry. He is the coauthor of Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications, published by Wiley.
Descriere
As third in the series, this book focuses on a style of data analysis that makes graphics central to exploration. Making Sense of Data III explains how to implement decision support systems and provides an interactive approach to data analysis that allows users to see, manipulate, explore, mine data, and share results with colleagues.