Exploratory Data Analysis Using R, 2E by Ronald K. Pearson (.ePUB)+

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Exploratory Data Analysis Using R, Second Edition by Ronald K. Pearson
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Overview: The primary objectives of this revised edition of Exploratory Data Analysis Using R remain the same as before: to introduce the basic ideas of exploratory data analysis (EDA), to illustrate the need for it, and to demonstrate the utility of the R programming language in conducting this analysis. Much of the material included here remains the same as in the first edition, but a number of changes have been made to make the book more useful. The book begins with a brief overview of exploratory data analysis using R, followed by a detailed discussion of creating various graphical data summaries in R. Then comes a thorough introduction to exploratory data analysis, and a detailed treatment of 13 data anomalies, why they are important, how to find them, and some options for addressing them. Subsequent chapters introduce the mechanics of working with external data, structured query language (SQL) for interacting with relational databases, linear regression analysis (the simplest and historically most important class of predictive models), and crafting data stories to explain our results to others. These chapters use R as an interactive data analysis platform, while Chapter 9 turns to writing programs in R, focusing on creating custom functions that can greatly simplify repetitive analysis tasks. Further chapters expand the scope to more advanced topics and techniques: special considerations for working with text data, a second look at exploratory data analysis, and more general predictive models. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. It keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor’s solution manual is available.
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