Exploratory Data Analysis with R
Last updated on 2016-07-20
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
This package contains just the book in PDF, EPUB, or MOBI formats.
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.
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.
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