Free PDF R for Excel Users: An Introduction to R for Excel Analysts, by John L Taveras
Free PDF R for Excel Users: An Introduction to R for Excel Analysts, by John L Taveras
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R for Excel Users: An Introduction to R for Excel Analysts, by John L Taveras
Free PDF R for Excel Users: An Introduction to R for Excel Analysts, by John L Taveras
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From the Back Cover
Finally, an R book that's not overwhelming!
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About the Author
In his 12+ year career, John Taveras has consistently driven big insights and large scale analysis through a masterful use of Excel, R, SQL and other tools. He has also taken time out to teach his peers - at Google, PwC, Travelers and business school - helping turn anxious learners into avid users of these tools. Most recently, John led product development and analysis for an email marketing team at Google. He earned a BA in math and economics from Wesleyan University and an MBA from MIT Sloan School of Management.
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Product details
Paperback: 212 pages
Publisher: CreateSpace Independent Publishing Platform (August 8, 2016)
Language: English
ISBN-10: 1500566357
ISBN-13: 978-1500566357
Product Dimensions:
7.4 x 0.5 x 9.7 inches
Shipping Weight: 14.1 ounces (View shipping rates and policies)
Average Customer Review:
4.8 out of 5 stars
26 customer reviews
Amazon Best Sellers Rank:
#82,385 in Books (See Top 100 in Books)
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.
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 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.
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.
If you want to start learning R but you can't seem to get rid of Excel's hangover, you may want to try this book. The book highlights the parallelism of Excel and R. After reading this book, you may actually start using R as your "go to" tool for analysis.
I just got this book and I'm through chapter 4. Finally someone wrote a book that hits the foundations and helps you conceptualize working with data in R. I've gone through the John Hopkins R Coursera course and some lessons on Datacamp. This are both good resources but I always felt like I still didn't understand the basics. This book bring it together. Highly recommend this book as your first exposure to R.
One of the best book for beginners. But If the book could includes some problems to solve by the reader with answers in the back that would’ve been helpful instead of typing in every example...
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