Modern Data Science with R
- Forfattere: Benjamin S. (Smith College Northhampton MA) Baumer , Daniel T. (Smith College Northhampton MA) Kaplan , Nicholas J. (Amherst College Amherst MA) Horton
- Format: Innbundet
- Antall sider: 632
- Språk: Engelsk
- Forlag/Utgiver: SD Books
- Serienavn: Chapman & Hall/CRC Texts in Statistical Science
- EAN: 9780367191498
- Utgivelsesår: 2021
- Bidragsyter: Baumer, Benjamin S. (Smith College, Northhampton, MA); Kaplan, Daniel T. (Smith College, Northhampton, MA); Horton, Nicholas J. (Amherst College, Amherst, MA)
From a review of the first edition: "Modern Data Science with R¿ is rich with examples and is guided by a strong narrative voice. What¿s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician).
Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions.
The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable