R for Data Science PDF is a book published by O’Reilly Media. It was released on October 31, 2015. The book has been extremely successful, selling over 150,000 copies and becoming one of the best-selling data science books of all time.
R for Data Science is written by Hadley Wickham and Garrett Grolemund, two of the world’s leading R experts. The book is designed to help people who are new to data science learn the basics of using R for data analysis and visualization. It covers topics such as exploratory data analysis, data wrangling, and machine learning.
The book has received rave reviews from critics and readers alike. It has been praised for its clear and concise writing, its use of real-world examples, and its focus on practical applications of R. If you’re looking to get started with data science, R for Data Science is the perfect place to begin.
R for Data Science is available in both print and digital formats. You can purchase the book online from Amazon or Barnes & Noble, or you can find it in most major bookstores.
R for Data Science Summary
In this book, Garrett Grolemund and Hadley Wickham teach you how to use R to turn raw data into insight, knowledge, and understanding. As the world’s leading data science software, R is highly flexible and efficient, making it perfect for data wrangling, analysis, and visualization.
This book covers the essential topics of the tidyverse, including data manipulation, visualization, and programming. You’ll learn how to use the powerful dplyr and ggplot2 packages to wrangle, analyze, and visualize data. And you’ll gain valuable insights into the principles of tidy data analysis.
R for Data Science is designed to give you a comprehensive introduction to the tidyverse, and its chapters will get you up to speed with the essentials of data manipulation and visualization. After reading this book, you’ll be able to effectively wrangle, analyze, and visualize data using R.
Details of R for Data Science Book
|Book||R for Data Science|
|Author||Garrett Grolemund, Hadley Wickham|
|Category||Computers, Data Science|
Multiple Languages Editions of R for Data Science Book
R for Data Science is available in multiple languages! Whether you’re a beginner or an experienced R user, you can find an edition of this book that’s right for you.
|Book Editions||Check Now|
About the Author
Garrett Grolemund is a statistician and data scientist, and the author of several popular R books, including Hands-On Programming with R and R for Data Science. He works as a principal engineer at Microsoft in Seattle, WA.
Garrett Grolemund was born in Canada and is currently a statistician and data scientist. He has authored many popular books on R programming, data wrangling, and visualization.
Hadley Wickham is an Australian statistician who specializes in data science and software engineering. He is the author of several R packages, including dplyr and ggplot2, and the creator of the tidyverse, a set of tools for data science. He works as a chief scientist at RStudio. Hadley Wickham was born in Australia and is currently a statistician who specializes in data science and software engineering.
Both authors work with R programming language to make data analysis easier and more efficient for statisticians, data scientists, and software engineers.
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