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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...

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Detalles Bibliográficos
Autores principales: Antonio, Nuno, de Almeida, Ana, Nunes, Luis
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
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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.
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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
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