Exploratory Data Analysis with R

by Roger D. Peng

Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.

Genres: Nonfiction

184 pages, ebook

First published July 16, 2015

Reviews

[Roy · Rating 4 out of 5]

Complete with ample examples and graphics, this quick read is highly useful and accessible to all novice R users looking for a clear, solid explanation of doing exploratory data analysis with R. Though the author doesn't go into the more advanced functions, the analytic framework outlined in the book provides a good foundation to build upon with repeated practices.

[Pooia · Rating 5 out of 5]

Very nice if you like to learn drawing plots and charts in R.

[Lisa · Rating 4 out of 5]

Highly recommended if you wanna be a data scientist.

[Ameen AboDabash · Rating 3 out of 5]

hmm, good book to show the R capabilities in Exploration analysis , I recommend to read about "Principal Component Analysis" & "Singular Value decomposition" before dealing with R, R provide you straight forward functions and do all job for you, but from my physics background, if you understand microscopic view you will easily understand the Macroscopic view.

but definitely I recommend this book for R beginners like me :), just thought it will dig deeply into exploration analysis.

[Andrew · Rating 4 out of 5]

Good intro to dplyr and ggplot2

[Miguel Veliz · Rating 5 out of 5]

A really good approach for begginers in R code, very clear and you can frab it for free in the author's web site