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This full-color text discusses EDA and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. It presents the fundamental principles of graphical data analysis and includes detailed case studies that explain how the principles can be applied to the analysis of real-world datasets.
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 illustrated with displays from analyses of real datasets.
Discusses 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.
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