R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Paperback – 31 Jan. 2017

This book is an absolute must-have if you spend your days cleaning and analysing big datasets. I have had this book for a little over 4 months now and I use it almost every day as a part of my masters degree. I have found it is in a nice logical order and my data cleaning and analysis experience has flowed nicely by following the steps here.Sure, you could find the information in this book on Google, but that can be an overwhelming experience if you’re just starting out with data analysis and trying to learn tidyverse and other essential packages. This book is in a very understandable language for beginners and novice R users and beyond, and something to keep at hand at all times.

Although my apprenticeship has free on-line books I like a physical book so you can flip back and fore. It is important you practice with R Studio but this book is well written and a pleasant read. Please note there is a new edition August 2023 so it might be worth waiting.

This book orders things differently than conventional R courses. It doesn't begin with introducing the basics, but with plotting graphs, which is what most beginners need R for. It is therefore good for people who need to get into the practical aspects of R quickly due to job demands. And in a way it puts off beginners less, because the basics are somewhat boring.However, it's a bit like learning conversation before learning grammar... Very quickly one realizes the importance of the basics. So I personally would combine this book with other conventional R courses to learn the language properly.

Finally a book on programming that does not bore me to death. I have bought other books on R and Python programming which I found boring and very dry. This is not like those books. It is entertaining, I read some chapters in the evening on my bed and followed the exampled in my office to memorize the functions and learn how to use the methods. It is not a book on data science though, you will need a book on stats and machine learning to complete the data science package. Yet, this book will give you the tools to start straight away with R programming and with some data analysis.

I bought this book after enrolling on a Data Science course that dived straight into R Programming without first giving a solid grounding in R basics. I've found this book an excellent resource for taking a step back to fill in the necessary gaps to enable me to progress. The sequencing of the book makes perfect sense since you get to put together some quick visual examples first that encourage you to keep at it before going a bit deeper and learning programming concepts. Highly recommended.

If you are learning R or want to get a better understanding of the language, I can't recommend this book highly enough. Packed full of information and written very well.Bought two copies, first one when I was trying to fill in some of my knowledge gaps about R. Then bought another copy for other analysts in my team to use. We all write better code now :-)

Introduces the concepts of the tidyverse in a way that makes them intuitive and easy to implement. I would say you need some base level of experience in R or other languages but not much - the tidyverse is a great place to start for beginners.Worth noting that the book is made available for free online but is beautifully reproduced in book form for ease of reference.

So far this books is a clear explanation of the T language. What spoilt it ofr me is finding out that the entire thing is available online for free. Wish I'd known that before! Obviously, offline reading is great, but as these kind of books work best when you are doing the exercises whilst reading, the online method would suit most people better.