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. The authors employ Mondrian software throughout to generate plots and use R code to quantify results precisely, test statistical hypotheses, and rearrange data in a nontrivial way. They provide exercises at the end of each chapter and offer course suggestions, slides, and extra code on the book's website.
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