NU Learning Resource Center OPAC catalog › Details for: R for data science /

Normal view MARC view ISBD view

R for data science / Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund

By: Wickham, Hadley [author]Contributor(s): Rundel, Mine Çetinkaya- [co-author] | Grolemund, Garrett [co-author]Material type: Text

TextPublication details: [Place of Publication not identified] : O'Reilly Media. c2023ISBN: 9781492097402Subject(s): BIG DATA | DATABASES | DATA MINING -- COMPUTER PROGRAMS

Contents:

Introduction -- Part I. Whole Game -- Part II. Visualize -- Part III. Transform -- Part IV. Import -- Part V. Program -- Part VI. Communicate -- Index -- About the Authors -- Colophon.

Summary: Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details.

Item type:

Electronic Resources

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

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 3 )
Comments ( 0 )

Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Electronic Resources	LRC - Graduate Studies	National University - Manila	Doctor in Business Administration	Electronic Books	bit.ly/ebscoRDS (Browse shelf (Opens below))	c.1	Available		EBK000000026

Browsing National University - Manila shelves, Shelving location: Electronic Books, Collection: Doctor in Business Administration Close shelf browser (Hides shelf browser)

				Next
	bit.ly/ebscoRDS R for data science /	bit.ly/ebscoIPFIHRI Investing in people : Financial impact of human resource initiatives /	bit.ly/ebscoTFB The FINTECH book : the financial technology handbook for investors, entrepreneurs and visionaries /	Next

Includes index.

Introduction --
Part I. Whole Game --
Part II. Visualize --
Part III. Transform --
Part IV. Import --
Part V. Program --
Part VI. Communicate --
Index --
About the Authors --
Colophon.

Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details.

There are no comments on this title.

to post a comment.