00000nam a22000008i 4500 UP-1685675941131503377 Buklod 20240220143552.0 m |o d | ta 231024s2021 flu b 001 0 eng 2020052396 780367191498 (hardback) 780429200717 (ebook) 21824784 LC eng rda DLC DSTC eng cc QA76.9.D343 B38 2021 006.3/12 23 Baumer, Benjamin author. Modern data science with R Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton. Second edition. 104 Boca Raton CRC Press 2021. ages cm. txt rdacontent rdamedia nc rdacarrier Chapman and Hall/CRC Press texts in statistical science ncludes bibliographical references and indexes. 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 and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice. 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)"-- Provided by publisher. Big data. Data mining. R (Computer program language) Mathematical statistics Data processing. Horton, Nicholas J. author. Kaplan, Daniel author. Online version Baumer, Benjamin S. Modern data science with r 2. Boca Raton : CRC Press, 2021. 9780429200717 (DLC) 2020052397. FO UPD DSTC QA76.9 D343 B38 2021 Book