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A Brief Review of the Dook, R for Data Science

Author

Listed:
  • Dale Bowman

    (Department of Mathematical Sciences, University of Memphis, USA)

  • Lih-Yuan Deng

    (Department of Mathematical Sciences, University of Memphis, USA)

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.

Suggested Citation

  • Dale Bowman & Lih-Yuan Deng, 2018. "A Brief Review of the Dook, R for Data Science," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 7(1), pages 7-8, May.
    • Handle: RePEc:adp:jbboaj:v:7:y:2018:i:1:p:7-8
    DOI: 10.19080/BBOAJ.2018.07.555704
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