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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Main Authors: Paulo Pinheiro, Luís Cavique
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340921003383
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spelling doaj-40041569395343b48d62fe4b581bc61b2021-06-27T04:38:08ZengElsevierData in Brief2352-34092021-06-0136107054Regular sports services: Dataset of demographic, frequency and service level agreementPaulo Pinheiro0Luís Cavique1CEDIS, Lisboa, Portugal; Corresponding author.Universidade Aberta, Lisboa, Portugal/Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal; LASIGE, FCUL, Lisboa, PortugalThis 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.http://www.sciencedirect.com/science/article/pii/S2352340921003383Sport servicesCustomer retentionMachine learningActionable knowledge
collection DOAJ
language English
format Article
sources DOAJ
author Paulo Pinheiro
Luís Cavique
spellingShingle Paulo Pinheiro
Luís Cavique
Regular sports services: Dataset of demographic, frequency and service level agreement
Data in Brief
Sport services
Customer retention
Machine learning
Actionable knowledge
author_facet Paulo Pinheiro
Luís Cavique
author_sort Paulo Pinheiro
title 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_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_sort regular sports services: dataset of demographic, frequency and service level agreement
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2021-06-01
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.
topic Sport services
Customer retention
Machine learning
Actionable knowledge
url http://www.sciencedirect.com/science/article/pii/S2352340921003383
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AT luiscavique regularsportsservicesdatasetofdemographicfrequencyandservicelevelagreement
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