Exploratory Data Analysis with R

Large book cover: Exploratory Data Analysis with R

Exploratory Data Analysis with R

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

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.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: The R InfernoThe R Inferno
by - Burns Statistics
If you don't know of 'The R Inferno', this revised edition is a book-length (intermediate level) explanation of a few trouble spots when using the R language. If you are using R and you think you're in hell, this is a map for you.
Book cover: Using R for Introductory StatisticsUsing R for Introductory Statistics
by - 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.
Book cover: An Introduction to RAn Introduction to R
by - Network Theory
Comprehensive introduction to R, a software package for statistical computing and graphics. R supports a wide range of statistical techniques, and is easily extensible via user-defined functions, or using modules written in C, C++ or Fortran.
Book cover: The Art of R ProgrammingThe Art of R Programming
by - UC Davis
This book is for those who wish to write code in R, as opposed to those who use R mainly for a sequence of separate, discrete statistical operations. The reader's level of programming background may range from professional to novice.