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 2nd Edition Wickham, Cetinkaya-Rundel, & Grolemund Signed

PERSONALLY SIGNED BY HADLEY WICKHAM The product is the signed 2nd edition of the book “R for Data Science” by Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund. Published by O’Reilly Media, this textbook focuses on data modeling, design, visualization, processing, and mining, all using the R programming language. With 576 pages, this trade paperback is a comprehensive resource for anyone looking to enhance their data science skills. The authors provide practical guidance and insight on how to import, tidy, transform, visualize, and model data in a clear and accessible manner.

R for Data Science 2nd Edition Paperback R335

While we work to ensure that product information is correct, on occasion manufacturers may alter their ingredient lists. As per the item weight and country location. In case of any problems after receiving the item.

R for Data Science 2nd Edition Paperback g464

While we work to ensure that product information is correct, on occasion manufacturers may alter their ingredient lists. As per the item weight and country location. In case of any problems after receiving the item.

R for Data Science 2nd Edition Paperback H456

While we work to ensure that product information is correct, on occasion manufacturers may alter their ingredient lists. As per the item weight and country location. In case of any problems after receiving the item.