Modern Data Science with R av Benjamin S. (Smith College Northhampton MA) Baumer, Daniel T. (Smith College Northhampton MA) Kaplan, Nicholas J. (Amher

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<p>From a review of the first edition: "<i>Modern Data Science with R</i>¿ 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" (<i>The American Statistician</i>).</p><b></b><p><b>Modern Data Science with R</b> 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. </p><p></p><p>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