Cargando…
Hotel booking demand datasets
This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297060/ https://www.ncbi.nlm.nih.gov/pubmed/30581903 http://dx.doi.org/10.1016/j.dib.2018.11.126 |
_version_ | 1783381123376611328 |
---|---|
author | Antonio, Nuno de Almeida, Ana Nunes, Luis |
author_facet | Antonio, Nuno de Almeida, Ana Nunes, Luis |
author_sort | Antonio, Nuno |
collection | PubMed |
description | This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents a hotel booking. Both datasets comprehend bookings due to arrive between the 1st of July of 2015 and the 31st of August 2017, including bookings that effectively arrived and bookings that were canceled. Since this is hotel real data, all data elements pertaining hotel or costumer identification were deleted. Due to the scarcity of real business data for scientific and educational purposes, these datasets can have an important role for research and education in revenue management, machine learning, or data mining, as well as in other fields. |
format | Online Article Text |
id | pubmed-6297060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62970602018-12-21 Hotel booking demand datasets Antonio, Nuno de Almeida, Ana Nunes, Luis Data Brief Business, Management and Accounting This data article describes two datasets with hotel demand data. One of the hotels (H1) is a resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 variables describing the 40,060 observations of H1 and 79,330 observations of H2. Each observation represents a hotel booking. Both datasets comprehend bookings due to arrive between the 1st of July of 2015 and the 31st of August 2017, including bookings that effectively arrived and bookings that were canceled. Since this is hotel real data, all data elements pertaining hotel or costumer identification were deleted. Due to the scarcity of real business data for scientific and educational purposes, these datasets can have an important role for research and education in revenue management, machine learning, or data mining, as well as in other fields. Elsevier 2018-11-29 /pmc/articles/PMC6297060/ /pubmed/30581903 http://dx.doi.org/10.1016/j.dib.2018.11.126 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Business, Management and Accounting Antonio, Nuno de Almeida, Ana Nunes, Luis Hotel booking demand datasets |
title | Hotel booking demand datasets |
title_full | Hotel booking demand datasets |
title_fullStr | Hotel booking demand datasets |
title_full_unstemmed | Hotel booking demand datasets |
title_short | Hotel booking demand datasets |
title_sort | hotel booking demand datasets |
topic | Business, Management and Accounting |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297060/ https://www.ncbi.nlm.nih.gov/pubmed/30581903 http://dx.doi.org/10.1016/j.dib.2018.11.126 |
work_keys_str_mv | AT antonionuno hotelbookingdemanddatasets AT dealmeidaana hotelbookingdemanddatasets AT nunesluis hotelbookingdemanddatasets |