How R Helps Airbnb Make the Most of its Data

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.

KEYWORDS:

• Exploratory data analysis
• Inference
• Machine learning
• Statistical computing

Notes

1 https://www.airbnb.com/

2 https://medium.com/airbnb-engineering/at-airbnb-data-science-belongs-everywhere-917250c6beba#.ip98wvb2u

3 https://en.wikipedia.org/wiki/MySQL

4 https://aws.amazon.com/

5 https://en.wikipedia.org/wiki/Apache_Hadoop

6 https://aws.amazon.com/s3/

7 https://en.wikipedia.org/wiki/Extract,_transform,_load

8 https://github.com/apache/incubator-airflow

9 https://en.wikipedia.org/wiki/Star_schema

10 http://www.tableau.com/

11 https://github.com/airbnb/superset

12 https://github.com/ApacheInfra/superset

13 https://github.com/hadley/dplyr

14 http://ggplot2.org/

15 https://github.com/hadley/dplyr

16 http://www.statmethods.net/stats/power.html

17 https://github.com/tidyverse/tidyr

18 https://github.com/hadley/dplyr

19 https://github.com/tidyverse/ggplot2

20 https://github.com/airbnb/knowledge-repo

21 http://rmarkdown.rstudio.com/

22 https://cran.r-project.org/web/packages/magrittr/vignettes/magrittr.html

23 https://github.com/tidyverse/tidyr

24 https://github.com/hadley/dplyr

25 https://github.com/tidyverse/broom

26 https://github.com/hadley/purrr

27 http://ggplot2.org/

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31 http://rich-iannone.github.io/DiagrammeR/

32 https://shiny.rstudio.com/

33 http://rmarkdown.rstudio.com/

34 https://medium.com/airbnb-engineering/scaling-knowledge-at-airbnb-875d73eff091

35 http://flask.pocoo.org/

36 http://rmarkdown.rstudio.com/

37 https://medium.com/airbnb-engineering/experiment-reporting-framework-4e3fcd29e6c0

38 http://ab-initio.mit.edu/wiki/index.php/NLopt

39 https://github.com/susanathey/causalTree

40 https://medium.com/airbnb-engineering/how-airbnb-democratizes-data-science-with-data-university-3eccc71e073a

41 https://ropensci.org/

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44 https://medium.com/airbnb-engineering/using-r-packages-and-education-to-scale-data-science-at-airbnb-906faa58e12d

45 https://www.rstudio.com/products/rpackages/devtools/

46 http://rmarkdown.rstudio.com/