Exploratory Data Analysis with R
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Exploratory Data Analysis with R

About the Book

This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data you have. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing informative data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.

If you are interested in a printed copy of this book, you can purchase one at Lulu.

Some of the topics we cover are

  • Making exploratory graphs
  • Principles of analytic graphics
  • Plotting systems and graphics devices in R
  • The base and ggplot2 plotting systems in R
  • Clustering methods
  • Dimension reduction techniques

About the Author

Roger D. Peng
Roger D. Peng

Roger D. Peng is a Professor of Statistics and Data Sciences at the University of Texas, Austin. Previously, he was Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. His research focuses on the development of statistical methods for addressing environmental health problems and on developing tools for doing better data analysis. He is the author of the popular book R Programming for Data Science and 10 other books on data science and statistics. He is also the co-creator of the Johns Hopkins Data Science Specialization, the Simply Statistics blog where he writes about statistics for the public, the Not So Standard Deviations podcast with Hilary Parker, and The Effort Report podcast with Elizabeth Matsui. Roger is a Fellow of the American Statistical Association and is the recipient of the Mortimer Spiegelman Award from the American Public Health Association, which honors a statistician who has made outstanding contributions to public health. He can be found on Twitter and GitHub at @rdpeng.

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The Book

This package contains just the book in PDF, EPUB, or MOBI formats.

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The Book + Datasets + R Code Files

This package contains the book and R code files corresponding to each of the chapters in the book. The package also contains the datasets used in all of the chapters so that the code can be fully executed.

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    Datasets
  • extras
    R Code Files
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The Book + Lecture Videos (HD) + Datasets + R Code Files

This package includes the book, high definition lecture video files (720p) corresponding to each of the chapters, datasets and R code files for all chapters. The videos are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license.

Includes:

  • extras
    Datasets
  • extras
    R Code Files
  • extras
    Lecture Videos (HD)
  • PDF

  • EPUB

  • WEB

  • English

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