R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Paperbac
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Paperback or Softback). Format: Paperback or Softback. Condition Guide. Your source for quality books at reduced prices. Item Availability.
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??. Even if you have no programming experience, this updated edition will have you doing data science quickly.
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??. Even if you have no programming experience, this updated edition will have you doing data science quickly.
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
You’ll learn how to import, transform, and visualize your data and communicate the results. And you’ll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details.
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
You’ll learn how to import, transform, and visualize your data and communicate the results. And you’ll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details.
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
“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.