R For Data Science Import Tidy Transform Wickham Data Wrangling Guide 2017 PB

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Suitable for readers with no previous programming experience, R for Data Science is designed to get users doing data science as quickly as possible. Readers will get a complete, big-picture understanding of the data science cycle, along with the basic tools needed to manage the details.

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R FOR DATA SCIENCE Import Tidy Transform Visualize and Model Data 2017 O’Reilly

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The product is a textbook titled "R for Data Science: Import, Tidy, Transform, Visualize, and Model Data" published by O'Reilly Media in 2017. Written by Hadley Wickham and Garrett Grolemund, the book covers data analysis, mathematics, and computer science subjects. It provides practical guidance on how to use the programming language R to import, tidy, transform, visualize, and model data. With 518 pages, the trade paperback format makes it a valuable resource for adult education and further education in data processing and statistical analysis.

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R for Data Science, Garrett Grolemund & Hadley Wickham, Used; Good Book

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The product is the book "R for Data Science" by authors Hadley Wickham and Garrett Grolemund. Published by O'Reilly Media in 2017, this textbook covers topics in programming languages, mathematical and statistical software, probability and statistics, and data processing. With a total of 518 pages, the book provides a comprehensive guide on how to import, tidy, transform, visualize, and model data using the programming language R. Written in English and available in trade paperback format, this book is a valuable resource for students and professionals in the field of data science.

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