**Exploratory Data Analysis with R**

by Roger D. Peng

**Publisher**: Leanpub 2016**ISBN/ASIN**: 1365060063**Number of pages**: 208

**Description**:

This book teaches you to use R to effectively visualize and explore complex datasets. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modeling strategies.

Download or read it online for free here:

**Download link**

(multiple formats)

## Similar books

**Advanced R programming**

by

**Hadley Wickham**

The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as it explains some of R's quirks...

(

**7180**views)

**Efficient R Programming**

by

**Colin Gillespie, Robin Lovelace**-

**O'Reilly**

The book is about increasing the amount of work you can do with R in a given amount of time. It's about both computational and programmer efficiency. It's for anyone who uses R and who wants to make their use of R more reproducible and faster.

(

**4130**views)

**Just Enough R: Learn Data Analysis with R in a Day**

by

**Sivakumaran Raman**-

**Smashwords**

Learn R programming for data analysis in a single day. The book aims to teach data analysis using R within a day to anyone who already knows some programming in any other language. The book has sample code which can be downloaded as a zip file.

(

**3664**views)

**Using R for Introductory Statistics**

by

**John Verzani**-

**Chapman & Hall/CRC**

A self-contained treatment of statistical topics and the intricacies of the R software. The book focuses on exploratory data analysis, includes chapters on simulation and linear models. It lays the foundation for further study and development using R.

(

**20110**views)