Summary
Built specifically for statistical computing and graphics, the R language, along with its amazing collection of libraries and tools, is one of the most powerful tools you can use to tackle data analysis for business, research, and other data-intensive domains. This revised and expanded third edition of R in Action covers the new tidyverse approach to data analysis and R’s state-of-the-art graphing capabilities with the ggplot2 package.
R in Action, Third Edition teaches you to use the…
Book Details
| ISBN-13: | 9781617296055 |
|---|---|
| ISBN-10: | 1617296058 |
| Author: | Robert Kabacoff |
| Publisher: | Manning Publications |
| Imprint: | Manning Publications |
| Format: | Paperback |
| Number of Pages: | 625 |
| Release Date: | 4 May 2022 |
| Weight: | 1.08kg |
| Dimensions: | 38mm x 186mm x 234mm |

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Critics Review
“Read it and masterthe invaluable art of solving data analysis problems efficiently: a must!” AlainLompo
“Excellent primer for starting R.” Martin Perry
“The book gives a amazing introduction to R and the applicable methods for machine learning and statistics.” Nicole Koenigstein
“Amusing writing style and great material ingeneral, great book for those who are beginning in Statistics programming.” LuisFelipe Medeiro Alves
“This is an awesome book on R.” Tiklu Ganguly
“The definitive guide to bring you from beginner to advanced with R.” Jean-François Morin
“A clear and comprehensive guide to using R forreal work. I was able to get an R environment up and running with minimal difficulty!” Jim Frohnhofer
Robert Kabacoff
Rob Kabacoff teaches you to use the R language, including the popular tidy verse packages, through hands-on examples relevant to scientific, technical, and business developers. Focusing on practical solutions to real-world data challenges, R expert takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualisations. In this revised and expanded third edition, new coverage has been added for R’s state-of-the-art graphing capabilities with the ggplot2 package.
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