R for Excel Users: Introduction to R for Excel Analysts
| Author | : | |
| Rating | : | 4.66 (705 Votes) |
| Asin | : | B01K3HFOZU |
| Format Type | : | |
| Number of Pages | : | 414 Pages |
| Publish Date | : | 2017-04-21 |
| Language | : | English |
DESCRIPTION:
"For those who want to take it to the next level" according to Adriel Irons. 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. J said This book was a truly fantastic resource for learning R. 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. Very good introduction to R for Excel users Matan Gilbert 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 exp
You will also go deep on the building blocks of R: vectors and functions. You will see analogies to Excel where applicable, to ease your understanding of concepts.. But we can tame this curve by putting aside visualizations and analysis, and focusing on working with data. R has a steep learning curve and, if taken in all at once, it can be overwhelming. The language is simplified and technical lingo is kept to a minimum. This book is all about data manipulation: importing, creating, modifying, filtering, summarizing and reshaping data sets
From the Back Cover Finally, an R book that's not overwhelming!