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 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.
(15810 views)
R Packages: Organize, Test, Document and Share Your Codeby Hadley Wickham - O'Reilly Media
This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham's package development philosophy. You'll work with devtools, roxygen, and testthat, a set of R packages.
(7939 views)
Tidy Modeling with Rby Max Kuhn, Julia Silge - O'Reilly Media
This book is a guide to using a collection of software in the R programming language for model building called 'tidymodels'. The book provides a practical introduction to how to use these specific R packages to create models.
(3483 views)
Just Enough R: Learn Data Analysis with R in a Dayby 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.
(9511 views)