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
Using R for Introductory Statisticsby 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.
(20242 views)
Practical Regression and Anova using Rby Julian J. Faraway
The emphasis of this text is on the practice of regression and analysis of variance. The objective is to learn what methods are available and when they should be applied. Many examples are presented to clarify the use of the techniques.
(7637 views)
Using R for Data Analysis and Graphicsby J H Maindonald - Australian National University
These notes are designed to allow individuals who have a basic grounding in statistical methodology to work through examples that demonstrate the use of R for a range of types of data manipulation, graphical presentation and statistical analysis.
(10498 views)
R for Data Scienceby Garrett Grolemund, Hadley Wickham - O'Reilly Media
This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science.
(4028 views)