Visualizing online-hotel reputation in Barcelona through a robust compositional regression model and a principal component analysis (PCA)
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资源简介:
Data was collected from From June 15th, 2017 to June 25th, 2017 from the official TripAdvisor website, which is known as one of the largest travel community in the world. So as to allow for more consistency, only hotels with a final score of over 100 were selected. Two hundred and forty-seven hotels located in Barcelona, Spain, were selected for this research.
It can be cited as:
Pesantez, Jessica (2018), “Visualizing online-hotel reputation in Barcelona through a robust compositional regression model and a principal component analysis (PCA)”, Mendeley Data, v2
本数据集采集于2017年6月15日至2017年6月25日,源自全球最大旅游社区之一的TripAdvisor(猫途鹰)官方网站。为确保数据一致性,仅选取最终评分高于100的酒店。本次研究共纳入西班牙巴塞罗那的247家酒店作为研究样本。
该数据集可按如下方式引用:
佩桑特斯,杰西卡(2018),《借助稳健成分回归模型与主成分分析(Principal Component Analysis,PCA)可视化巴塞罗那在线酒店声誉》,Mendeley Data,v2
创建时间:
2018-07-16



