Dataset for holiday rentals' daily rate pricing in a cultural tourism destination.

ABSTRACT: This data article describes a holiday rental dataset from a medium-size cultural city destination. Daily rate and variables related to location, size, amenities, rating, and seasonality are highlighted as the main features. The data was extracted from Booking.com, legal registration of the accommodation (RTA) and Google Maps, among other sources. This dataset contains data from 665 holiday rentals offered as entire flat (rent per room was discarded), with a total of 1623 cases and 28 variables considered. Regarding data extraction, RTA is ordered by registration number, which is taken and, through a Google search with the following structure: "apartment registration no. + Booking + Seville", the holiday rental profile in Booking.com is found. Then, it is verified that both the address of t

SUBMITTER: Solano Sanchez MA 

PROVIDER: S-EPMC6880093 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature