R for data science : import, tidy, transform, visualize, and model data
(Book)
Author
Contributors
Grolemund, Garrett, Author
Published
Sebastopol, CA : O'Reilly, 2017.
Status
Shirlington - Adult Nonfiction
006.312 R WICKH
1 available
006.312 R WICKH
1 available
Copies
Location | Call Number | Status |
---|---|---|
Shirlington - Adult Nonfiction | 006.312 R WICKH | Available |
Description
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More Details
Published
Sebastopol, CA : O'Reilly, 2017.
Format
Book
Physical Desc
xxv, 492 pages : black ; 23 cm
Language
English
Notes
General Note
Includes an index.
Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: •Wrangle-transform your datasets into a form convenient for analysis •Program-learn powerful R tools for solving data problems with greater clarity and ease •Explore-examine your data, generate hypotheses, and quickly test them •Model-provide a low-dimensional summary that captures true "signals" in your dataset •Communicate-learn R Markdown for integrating prose, code, and results.
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Citations
APA Citation, 7th Edition (style guide)
Wickham, H., & Grolemund, G. (2017). R for data science: import, tidy, transform, visualize, and model data (First edition.). O'Reilly.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Wickham, Hadley and Garrett, Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O'Reilly.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Wickham, Hadley and Garrett, Grolemund. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data O'Reilly, 2017.
MLA Citation, 9th Edition (style guide)Wickham, Hadley,, and Garrett Grolemund. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data First edition., O'Reilly, 2017.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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