[PDF.90jz] R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham, Garrett Grolemund
[PDF.hj52] R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
R for Data Science: Hadley Wickham, Garrett Grolemund epub R for Data Science: Hadley Wickham, Garrett Grolemund pdf download R for Data Science: Hadley Wickham, Garrett Grolemund pdf file R for Data Science: Hadley Wickham, Garrett Grolemund audiobook R for Data Science: Hadley Wickham, Garrett Grolemund book review R for Data Science: Hadley Wickham, Garrett Grolemund summary
| #1889 in Books | O Reilly Media | 2017-01-05 | Original language:English | PDF # 1 | 9.02 x1.05 x5.98l,.0 | File type: PDF | 522 pages | O Reilly Media||54 of 55 people found the following review helpful.| An excellent introduction to using R for Exploratory Analysis.|By Stephen Oates|Wickham and Grolemund have produced an excellent book that would help a beginning R user become very efficient in explanatory analysis. Unsurprisingly the approach that they expound utilises the "hadleyverse" a collection of packages (ggplot2 for visualisation, tidyr for reshaping, dplyr for selec|About the Author|
|Hadley Wickham is an Assistant Professor and the Dobelman FamilyJunior Chair in Statistics at Rice University. He is an active memberof the R community, has written and contributed to over 30 R packages, and won the John Chambers Award for
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.
Authors Hadley Wickham and Garrett Grolemund guide you through the steps of im...
You can specify the type of files you want, for your device.R for Data Science: Import, Tidy, Transform, Visualize, and Model Data | Hadley Wickham, Garrett Grolemund. A good, fresh read, highly recommended.
