by | 6 Aug 2026
“R for Data Science: Import, Tidy, Transform, Visualize, and Model Data” is a comprehensive textbook written in English, focusing on the essential skills needed for data science using the R programming language. Published by O’Reilly Media, this 2nd edition book covers important topics such as data import, tidying, transformation, visualization, and modeling in a 576-page print length. With dimensions of 7 x 1.25 x 9.25 inches and weighing 2.31 pounds, this book is a valuable resource for learners looking to enhance their data science skills with R.
by | 6 Aug 2026
What are the right choices for your application?. How do you make sense of all these buzzwords?. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
by | 6 Aug 2026
What are the right choices for your application?. How do you make sense of all these buzzwords?. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
by | 6 Aug 2026
What are the right choices for your application?. How do you make sense of all these buzzwords?. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
by | 6 Aug 2026
What are the right choices for your application?. How do you make sense of all these buzzwords?. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.