R for data science : import, tidy, transform, visualize, and model data
(Book)

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Average Rating
Author
Wickham, Hadley,
Contributors
Grolemund, Garrett, author.
Published
Sebastopol, CA : O'Reilly Media, 2016.
Status
On Shelf
Central Library - Nonfiction - 2nd Floor
006.3 W
1 available
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Central Library - Nonfiction - 2nd Floor006.3 WOn Shelf

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Subjects

LC Subjects
Big data.
Data mining -- Computer programs.
Databases.
Information visualization -- Computer programs.
R (Computer program language)
Other Subjects
Data mining -- impiego di R (linguaggio di programmazione)

More Details

Published
Sebastopol, CA : O'Reilly Media, 2016.
Format
Book
Physical Desc
xxv, 492 pages : illustrations (some color) ; 23 cm
Language
English

Notes

Bibliography
Includes bibliographical references and index.
Description
"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"--Page 4 of cover.

Citations

APA Citation, 7th Edition (style guide)

Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data (First edition.). O'Reilly Media.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Wickham, Hadley and Garrett, Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O'Reilly Media.

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 Media, 2016.

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 Media, 2016.

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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