Exploratory Data Analysis with R

This book teaches you to use R to effectively visualize and explore complex datasets.

**Tag(s):**
Data Science
R

**Publication date**: 20 Jul 2016

**ISBN-10**:
n/a

**ISBN-13**:
n/a

**Paperback**:
198 pages

**Views**: 6,516

Exploratory Data Analysis with R

This book teaches you to use R to effectively visualize and explore complex datasets.

From The Book Description:

Roger D. Peng wrote: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

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About The Author(s)

Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He is also a co-founder of the Johns Hopkins Data Science Specialization, the Simply Statistics blog where he writes about statistics for the general public, the Not So Standard Deviations podcast with Hilary Parker, and The Effort Report podcast with Elizabeth Matsui.

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