R for data science [electronic resource]: import, tidy, transform, visualize, and model data Hadley Wickham (Author), Garrett Grolemund (Author)

By:

Wickham, Hadley

Contributor(s):

Grolemund, Garrett

Material type: Text

TextPublication details: Sebastopol, CA O'Reilly 2016Description: 1 digital resource (xxiv, 492 pages) : illustrations (some color) 23 cmISBN:

9781491910399
1491910399

Subject(s):

R (Computer program language)

DDC classification:

006.312 WIC

Summary: "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"

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	CamTech Library	STEM & Engineering	006.312 WIC (Browse shelf(Opens below))	C.1	Available		CamTech 001129
Electronic Materials	CamTech Library	Digital Collections		1 digital item	Available

Browsing CamTech Library shelves, Shelving location: STEM & Engineering Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.31 MIS Machine learning for iso developers	006.31 NAT Data science algorithms in a week top 7 algorithms for scientific computing, data analysis, and machine learning	006.312 APE Data science bookcamp : five Python projects /	006.312 WIC R for data science [electronic resource]: import, tidy, transform, visualize, and model data	006.32 HAY Neural networks and learning machines [electronic resource]/	006.35 RAO Natural language processing with PyTorch [electronic resource]: build intelligent language applications using deep learning /	006.35 SAR Text analytics with Python [electronic resource]: a practical real-world approach to gaining actionable insights from your data /	Next

"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"

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer