Exploratory Data Analysis with R

Exploratory Data Analysis with R

Roger D Peng
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Version: 2015-06-23
80% complete
https://leanpub.com/exdata
This book covers some of the basics of visualizing data in R and summarizing highdimensional data with statistical multivariate analysis techniques. There is less of an emphasis on formal statistical inference methods, as inference is typically not the focus of EDA. Rather, the goal is to show the data, summarize the evidence and identify
interesting patterns while eliminating ideas that likely won’t pan out.
Throughout the book, we will focus on the R statistical programming language. We
will cover the various plotting systems in R and how to use them effectively. We will
also discuss how to implement dimension reduction techniques like clustering and the
singular value decomposition. All of these techniques will help you to visualize your data
and to help you make key decisions in any data analysis.
Категории:
Год:
2015
Издательство:
Leanpub
Язык:
english
Страницы:
125
Файл:
PDF, 972 KB
IPFS:
CID , CID Blake2b
english, 2015
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