Exploratory Data Analysis with R
Roger D. Peng
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.
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Thanks for purchasing this book. If you are interested in hearing more from me about things that I’m working on (books, data science courses, podcast, etc.), you can do two things:
- First, I encourage you to join my mailing list of Leanpub Readers. On this list I send out updates of my own activities as well as occasional comments on data science current events. I’ll also let you know what my co-conspirators Jeff Leek and Brian Caffo are up to because sometimes they do really cool stuff.
- Second, I have a regular podcast called Not So Standard Deviations that I co-host with Dr. Hilary Parker, a Data Scientist at Stitch Fix. On this podcast, Hilary and I talk about the craft of data science and discuss common issues and problems in analyzing data. We’ll also compare how data science is approached in both academia and industry contexts and discuss the latest industry trends. You can listen to recent episodes on our SoundCloud page or you can subscribe to it in iTunes or your favorite podcasting app.
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Thanks again for purchasing this book and please do stay in touch!