Skip to Content
Data Analysis with R, Second Edition - Second Edition
book

Data Analysis with R, Second Edition - Second Edition

by Tony Fischetti
March 2018
Beginner to intermediate content levelBeginner to intermediate
570 pages
13h 42m
English
Packt Publishing
Content preview from Data Analysis with R, Second Edition - Second Edition

Preface

I'm going to shoot it to you straight. There are a lot of books about data analysis and the R programming language. I'll take it for granted that you already know why it's extremely helpful and fruitful to learn R and data analysis (if not, why are you reading this preface?!) but allow me to make a case for choosing this book to guide you in your journey.

For one, this subject didn't come naturally to me. There are those with an innate talent for grasping the intricacies of statistics the first time it is taught to them; I don't think I'm one of them. I kept at it because I love science and research, and I knew that data analysis was necessary, not because it immediately made sense to me. Today, I love the subject in and of itself ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

Radhika Datar, Harish Garg
Bayesian Data Analysis, Third Edition, 3rd Edition

Bayesian Data Analysis, Third Edition, 3rd Edition

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
R: Data Analysis and Visualization

R: Data Analysis and Visualization

Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi V. Mittal, Bater Makhabel, Edina Berlinger, Ferenc Illés, Milán Badics, Ádám Banai, Gergely Daróczi, Barbara Dömötör, Gergely Gabler, Dániel Havran, Péter Juhász, István Margitai, Balázs Márkus, Péter Medvegyev, Julia Molnár, Balázs Árpád Szucs, Ágnes Tuza, Tamás Vadász, Kata Váradi, Ágnes Vidovics-Dancs

Publisher Resources

ISBN: 9781788393720Supplemental Content