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How R Helps Airbnb Make the Most of its Data

Author

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  • Ricardo Bion
  • Robert Chang
  • Jason Goodman

Abstract

At Airbnb, R has been among the most popular tools for doing data science work in many different contexts, including generating product insights, interpreting experiments, and building predictive models. Airbnb supports R usage by creating internal R tools and by creating a community of R users. We provide some specific advice for practitioners who wish to incorporate R into their day-to-day workflow.

Suggested Citation

  • Ricardo Bion & Robert Chang & Jason Goodman, 2018. "How R Helps Airbnb Make the Most of its Data," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 46-52, January.
    • Handle: RePEc:taf:amstat:v:72:y:2018:i:1:p:46-52
    DOI: 10.1080/00031305.2017.1392362
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    Cited by:

    1. Dolnicar, Sara, 2019. "A review of research into paid online peer-to-peer accommodation," Annals of Tourism Research, Elsevier, vol. 75(C), pages 248-264.

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