Modern Data Science with R, 2nd Edition

Book Description

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 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.

中文：

书名：现代数据科学与R，第二版

从第一版的回顾：#8220；现代数据科学与R…书中有大量的例子，并以强烈的叙事声音为指导。更重要的是，它提供了一个组织框架，提出了一个令人信服的论点，即数据科学是一门有别于应用统计学的课程。《美国统计学家》)中选择所需的构件。

现代数据科学与R是一个全面的本科生数据科学教科书，结合统计和计算思维，以解决现实世界的数据问题。这本书不是专门关注案例研究或编程语法，而是说明如何利用最先进的R/RStudio计算环境中的统计编程来从各种数据中提取有意义的信息，以解决引人注目的问题。

第二版进行了更新，以反映TidyVerse套装的日益增长的影响力。这本书中的所有代码都经过了修改，使其更具可读性和更易于理解。来自SF、Purrr、tidyModels和tidyText等包的新功能现在被集成到文本中。所有章节都已修订，其中几章已被拆分、重新组织或重新设想，以适应不断变化的最佳实践格局。