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portada Modern Data Science With r (Chapman & Hall
Type
Physical Book
Author
Year
2021
Language
English
Pages
650
Format
Hardcover
ISBN13
9780367191498
Edition No.
2
Categories

Modern Data Science With r (Chapman & Hall

Benjamin S. Baumer; Daniel T. Kaplan; Nicholas J. Horton (Author) · · Hardcover

Modern Data Science With r (Chapman & Hall - Benjamin S. Baumer; Daniel T. Kaplan; Nicholas J. Horton

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Delivery: 07 Aug - 13 Aug Shipping: 2 to 2 business days.
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NZ$ 319.94

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Synopsis "Modern Data Science With r (Chapman & Hall "

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.

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