A hotel's customers dataset
- kaggle.com
Updated Nov 27, 2020
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EmailClick to copy linkLink copiedCiteNuno Antonio (2020). A hotel's customers dataset [Dataset]. https://www.kaggle.com/nantonio/a-hotels-customers-dataset/discussionCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedNov 27, 2020AuthorsNuno AntonioDescriptionContext
This real-world customer dataset with 31 variables describes 83,590 instances (customers) from a hotel in Lisbon, Portugal.
Content
The data comprehends three full years of customer personal, behavioral, demographic, and geographical information.
Acknowledgements
Additional information on this dataset can be found in the article A Hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015-2018), written by Nuno Antonio, Ana de Almeida, and Luis Nunes for Data in Brief (online November 2020).
Inspiration
This dataset can be used in data mining, machine learning, and other analytical field problems in the scope of data science. Due to its unit of analysis, it is a dataset especially suitable for building customer segmentation models, including clustering and RFM (Recency, Frequency, and Monetary value) models, but also be used in classification and regression problems.
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Lisbon, Portugal, hotel’s customer dataset with three years of personal,...
- data.mendeley.com
Updated Nov 18, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteNuno Antonio (2020). Lisbon, Portugal, hotel’s customer dataset with three years of personal, behavioral, demographic, and geographic information [Dataset]. http://doi.org/10.17632/j83f5fsh6c.1Unique identifierhttps://doi.org/10.17632/j83f5fsh6c.1Dataset updatedNov 18, 2020AuthorsNuno AntonioLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyArea coveredPortugal, LisbonDescriptionHotel customer dataset with 31 variables describing a total of 83,590 instances (customers). It comprehends three full years of customer behavioral data. In addition to personal and behavioral information, the dataset also contains demographic and geographical information. This dataset contributes to reducing the lack of real-world business data that can be used for educational and research purposes. The dataset can be used in data mining, machine learning, and other analytical field problems in the scope of data science. Due to its unit of analysis, it is a dataset especially suitable for building customer segmentation models, including clustering and RFM (Recency, Frequency, and Monetary value) models, but also be used in classification and regression problems.
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FacebookTwitterEmailA hotel's customers dataset
Personal, behavioral, demographic, and geographic data from a hotel in Lisbon
Context
This real-world customer dataset with 31 variables describes 83,590 instances (customers) from a hotel in Lisbon, Portugal.
Content
The data comprehends three full years of customer personal, behavioral, demographic, and geographical information.
Acknowledgements
Additional information on this dataset can be found in the article A Hotel's customers personal, behavioral, demographic, and geographic dataset from Lisbon, Portugal (2015-2018), written by Nuno Antonio, Ana de Almeida, and Luis Nunes for Data in Brief (online November 2020).
Inspiration
This dataset can be used in data mining, machine learning, and other analytical field problems in the scope of data science. Due to its unit of analysis, it is a dataset especially suitable for building customer segmentation models, including clustering and RFM (Recency, Frequency, and Monetary value) models, but also be used in classification and regression problems.