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Putting It All Together – R, the tidyverse Ecosystem, and APIs

In: Introduction to Data Science in Biostatistics

Author

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  • Thomas W. MacFarland

    (Nova Southeastern University, Office of Institutional Effectiveness and College of Computing and Engineering)

Abstract

The purpose of this lesson is to provide summary information on how R and more specifically R’s tidyverse ecosystem are both used in support of data science. A few key concepts about the tidyverse ecosystem are reinforced, such as: (1) use of an Application Programming Interface (API) in an effort to obtain data; (2) the need to put data into tidy format; (3) and use of the tidyverse ecosystem in support of statistical analyses and the creation of figures, maps, and other visuals. An introduction is also offered on how data scientists prepare reports and the way supporting software and processes for the same can be integrated into R. A few comments are made on the next steps for those who wish to continue in data science. Perhaps most importantly for those who are in the early days of career exploration and advancement, there is also a discussion on the soft skills needed by those who wish to become leaders in data science and in turn use data science to promote societal improvement.

Suggested Citation

  • Thomas W. MacFarland, 2024. "Putting It All Together – R, the tidyverse Ecosystem, and APIs," Springer Books, in: Introduction to Data Science in Biostatistics, chapter 0, pages 433-523, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-46383-9_7
    DOI: 10.1007/978-3-031-46383-9_7
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