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Regular sports services: Dataset of demographic, frequency and service level agreement

This article describes a dataset of different services acquired by users during the period in which they are active in a sports facility as well as their behavior in terms of frequency of the sport facility itself and the type of classes they prefer to attend. Each observation in the dataset corresp...

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Detalles Bibliográficos
Autores principales: Pinheiro, Paulo, Cavique, Luís
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100056/
https://www.ncbi.nlm.nih.gov/pubmed/33997199
http://dx.doi.org/10.1016/j.dib.2021.107054
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author Pinheiro, Paulo
Cavique, Luís
author_facet Pinheiro, Paulo
Cavique, Luís
author_sort Pinheiro, Paulo
collection PubMed
description This article describes a dataset of different services acquired by users during the period in which they are active in a sports facility as well as their behavior in terms of frequency of the sport facility itself and the type of classes they prefer to attend. Each observation in the dataset corresponds to one user, including the features of subscriptions and frequency. Data were collected between June 1st 2014 and October 31st 2019 from a database of an ERP solution operating in a sports facility in Lisbon, Portugal. From this database, it was possible to perform operations of extraction, transformation and loading into the dataset. The dataset with real data can be useful for research in areas such as customer retention, machine learning, marketing, actionable knowledge and others. Although we present real data from users of a sports facility, in order to comply the GDPR legislation, the attributes that could identify the users were removed making the data anonymized.
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spelling pubmed-81000562021-05-13 Regular sports services: Dataset of demographic, frequency and service level agreement Pinheiro, Paulo Cavique, Luís Data Brief Data Article This article describes a dataset of different services acquired by users during the period in which they are active in a sports facility as well as their behavior in terms of frequency of the sport facility itself and the type of classes they prefer to attend. Each observation in the dataset corresponds to one user, including the features of subscriptions and frequency. Data were collected between June 1st 2014 and October 31st 2019 from a database of an ERP solution operating in a sports facility in Lisbon, Portugal. From this database, it was possible to perform operations of extraction, transformation and loading into the dataset. The dataset with real data can be useful for research in areas such as customer retention, machine learning, marketing, actionable knowledge and others. Although we present real data from users of a sports facility, in order to comply the GDPR legislation, the attributes that could identify the users were removed making the data anonymized. Elsevier 2021-04-20 /pmc/articles/PMC8100056/ /pubmed/33997199 http://dx.doi.org/10.1016/j.dib.2021.107054 Text en © 2021 The Author(s). Published by Elsevier Inc. https://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 Data Article
Pinheiro, Paulo
Cavique, Luís
Regular sports services: Dataset of demographic, frequency and service level agreement
title Regular sports services: Dataset of demographic, frequency and service level agreement
title_full Regular sports services: Dataset of demographic, frequency and service level agreement
title_fullStr Regular sports services: Dataset of demographic, frequency and service level agreement
title_full_unstemmed Regular sports services: Dataset of demographic, frequency and service level agreement
title_short Regular sports services: Dataset of demographic, frequency and service level agreement
title_sort regular sports services: dataset of demographic, frequency and service level agreement
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100056/
https://www.ncbi.nlm.nih.gov/pubmed/33997199
http://dx.doi.org/10.1016/j.dib.2021.107054
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