A Brief Review of the Dook, R for Data Science

Dale Bowman and Lih-Yuan Deng
Additional contact information
Dale Bowman: Department of Mathematical Sciences, University of Memphis, USA
Lih-Yuan Deng: Department of Mathematical Sciences, University of Memphis, USA

Biostatistics and Biometrics Open Access Journal, 2018, vol. 7, issue 1, 7-8

Abstract: This article reviews a recent textbook that introduces a data scientist to the tidyverse, an environment in R that provides useful packages for importing data, tidying data, transforming data, visualization, modeling and communication of results. All of these tools are needed for managing a data science project.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://juniperpublishers.com/bboaj/pdf/BBOAJ.MS.ID.555704.pdf (application/pdf)
https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555704.php (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:7:y:2018:i:1:p:7-8

DOI: 10.19080/BBOAJ.2018.07.555704

Access Statistics for this article

Biostatistics and Biometrics Open Access Journal is currently edited by Sophia Mathis

More articles in Biostatistics and Biometrics Open Access Journal from Juniper Publishers Inc.
Bibliographic data for series maintained by Robert Thomas ().