How R helps Airbnb make the most of its data
Data Science, Airbnb, San Francisco, California, United States
- Published
- Accepted
- Subject Areas
- Data Science, Programming Languages
- Keywords
- Data Science, Machine Learning, Exploratory Data Analysis, Inference, R Stats
- Copyright
- © 2017 Bion et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. How R helps Airbnb make the most of its data. PeerJ Preprints 5:e3182v1 https://doi.org/10.7287/peerj.preprints.3182v1
Abstract
At Airbnb, R has been amongst the most popular tools for doing data science in many different contexts, including generating product insights, interpreting experiments, and building predictive models. In a recent survey of the Airbnb team, 73% of Data Scientists and Analysts rated themselves as closer to “Expert” than “Beginner” in using R, and 58% regularly use R as a language for data analysis. Airbnb supports R usage by creating internal R tools and by creating a community of R users. At the end of the post, the authors provide some specific advice for practitioners who wish to incorporate R into their day-to-day workflow.
Author Comment
This is part of the 'Practical Data Science for Stats' Collection.