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Interactive Graphics for Data Analysis: Principles and Examples (Computer Science and Data Analysis) (Hardback)
$63.43 - Save $3.34 (5%) - RRP $66.77 Free delivery worldwide (to United States and
all these other countries) Usually dispatched within 24 hours | |Short Description for Interactive Graphics for Data AnalysisDiscusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. This book summarizes principles and methodology, demonstrating how the different graphical representations of variables of a dataset are effectively used in an interactive setting.
Full description- Publisher: Chapman & Hall/CRC
- Published: 01 November 2008
- Format: Hardback 290 pages
- See: Full bibliographic data
- Categories: Probability & Statistics | Mathematical & Statistical Software | Graphical & Digital Media Applications
- ISBN 13: 9781584885948 ISBN 10: 1584885947
- Sales rank: 702,039
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Full description for Interactive Graphics for Data Analysis
This title presents powerful tools for EDA. "Interactive Graphics for Data Analysis: Principles and Examples" discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. It includes fundamentals of interactive statistical graphics. The first part of the book summarizes principles and methodology, demonstrating how the different graphical representations of variables of a dataset are effectively used in an interactive setting. The authors introduce the most important plots and their interactive controls. They also examine various types of data, relations between variables, and plot ensembles.Case studies illustrate the principles. The second section focuses on nine case studies. Each case study describes the background, lists the main goals of the analysis and the variables in the dataset, shows what further numerical procedures can add to the graphical analysis, and summarizes important findings. Wherever applicable, the authors also provide the numerical analysis for datasets found in Cox and Snell's landmark book. You can understand how to analyze data through graphical means. This full-color text shows that interactive graphical methods complement the traditional statistical toolbox to achieve more complete, easier to understand, and easier to interpret analyses.
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