R for Excel Users: An Introduction to R for Excel Analysts

Great book for people who think in spreadsheets and struggle learning programming. This is a pure beginners book to get you started in R and helps you understand basic concepts and uses Excel as a base knowledge to teach the concepts. I have various learning challenges that can make learning math and programming more challenging if it’s too abstract but the way the author approaches the topics in this book works for my learning style.The layout and design of the book is very simple, easy to read without being overwhelming. I purchased both the Kindle and Print versions and found both formats good quality.

Very good introduction to R for Excel users. Like others, I've often been intimidated by R when first opening any number of R guides, I think because I've entered the world of programming without consciously knowing it. By addressing basic data manipulation tasks any Excel analyst must do, in clear, step-by-step language, this book fills a gap in the R literature and does so in a manner friendly to those with no programming experience.I will agree with an earlier reviewer that the Advanced Topics section does what I've praised above less convincingly. It in fact jumps into programming without any foundation, and seems to abandon the step-by-step clarity used in earlier sections. Perhaps it's just meant to give a taste of more advanced programming topics, but if you're like me you might find yourself confused at the sudden increased complexity and sparse explanations.

I literally just got this book and I am a few chapters into it. I love it so far. Since I have been using Excel for so many years, his explanations are very understandable. I have taken a few R online classes and so I know the basics but sometimes get stuck. This book have helped me get more clarity in just a few days. I am looking forward more books from John Taveras because I will buy them ASAP. I hope he can create a larger book with more projects based on his work experience.

I really loved the book. I tried a few other volumes to start R, but this book was the one who got me into R immediately. The clear description and examples helped a lot, e.g. the examples on P162-163 to explain the course of the loop were really simple, easy to understand and humorous at the same time :)Even though the title relates to Excel, I would still recommend this book for beginners of R even if they don't have a lot of experience in using Excel. The explanation are so clear and precise at the same time that it is a delight to read.

This book was a truly fantastic resource for learning R. I have tried a number of other resources like Datacamp and Coursera videos, but this book gave the clearest and most straightforward explanations. At first I was skeptical of it being limited to just data manipulation, but now it makes sense to me because it really is the hardest part to learn. I actually started getting overwhelmed by all the cool advanced things you can do in R, but this book got me to focus on the foundational stuff.I strongly recommend this book to anyone learning R!

Great intro to R, especially the sections that focus on dplyr. Some of the later chapters were difficult to follow, and it seemed like the quality control went a little haywire during those parts. But it's a nice gentle introduction for Excel users. You won't be an R coder by the time you read through this, but if you work through the examples a few times, you will know enough to know how to start. I recommend going through the book at least twice - I certainly plan to.

I use Excel on a constant basis for work, but never had the occasion to use R in my day to day projects. I've often seen R referred to with mystical tones, as some sort of "black magic" that we would need to engage PhDs for if a conjoint analysis was called for. The friendly titling and simple explanation of John's book really drew me in however, as it illuminates the ways that R can be useful to me by drawing on Excel concepts I am already familiar with. I am already exploring avenues where I can provide a more granular analysis than I would have in the past, without needing to get external consultants on the case. This is a great intro for those of us who have some analytical experience, but are looking to take it to the next level.

I'd consider myself a strong Excel user - I use it every day for my role as an analyst for the past three years. I'm the "go-to" in my department for anything Excel related. And this book is exactly the book to translate Excel into R. It's mostly formatted as, "If you do X in Excel (such as vlookup or index/match), here's how you do it in R."Most of the book focuses on data management and transformation - R syntax that seemed foreign to me up until this book.100% recommend this book for anyone familiar with Excel looking to dabble in R.