README.md

In UPGo-McGill/strr: Tools for Analysis of Short-Term Rental Data

strr

Tools for analysis of short-term rental data.

• Clean and process raw AirDNA data files.
• Compress and expand tables of STR data.
• Generate reliable statistical estimates of STR listings’ actual locations.
• Identify commercial STR operations.
• Identify frequently rented entire-home listings.
• Identify “ghost hostels”–clusters of private-room listings operated out of a single housing unit.
• Identify STR listings which are located in actual housing units.

Installation

You can install the released version of strr from CRAN with (This is not currently working, since the package has not yet been submitted to CRAN.):

install.packages("strr")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("UPGo-McGill/strr")

strr_process_*: Cleaning and processing raw AirDNA data files

TKTK

library(strr)
## basic example code

strr_multi: Identifying commercial STR operations

TKTK

strr_compress and strr_expand: Compressing and expanding tables of STR data

TKTK

strr_raffle: Generating reliable estimates of STR listing locations

TKTK

strr_FREH: Identifying frequently rented entire-home STRs

TKTK

strr_ghost: Identifying clusters of private-room listings operated out of a single housing unit

TKTK

strr_housing: Identifying STR listings located in actual housing units

TKTK

Data usage

Most of the functions in strr are designed to work with raw data from AirDNA: either the property files which contain one entry per listing, or the daily files which contain one entry per listing per day. TKTK

UPGo-McGill/strr documentation built on Feb. 24, 2024, 6:15 p.m.