Hotel booking demand datasets

被引:20
|
作者
Antonio, Nuno [1 ,2 ]
de Almeida, Ana [1 ,3 ,4 ]
Nunes, Luis [1 ,2 ,4 ]
机构
[1] Inst Univ Lisboa ISCTE IUL, Lisbon, Portugal
[2] Inst Telecomunicacoes, Lisbon, Portugal
[3] CISUC, Coimbra, Portugal
[4] ISTAR IUL, Lisbon, Portugal
来源
DATA IN BRIEF | 2019年 / 22卷
关键词
D O I
10.1016/j.dib.2018.11.126
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (C) 2018 The Authors. Published by Elsevier Inc.
引用
收藏
页码:41 / 49
页数:9
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