Visual analysis of temporal data associated with cryptocurrencies

Autores
Barrionuevo, Mercedes; Ganuza, María Luján
Año de publicación
2023
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Cryptocurrencies have emerged as a novel and dynamic asset class in the financial landscape, attracting significant attention from investors and researchers alike. As the popularity and diversity of cryptocurrencies continue to grow, there is an increasing need to analyze and understand the temporal dynamics and patterns within their data. Therefore, the treatment of such data involves the application of a wide range of tools for analysis and exploration, including different visualization techniques. In this paper, we present CryptoVisualizer, an integral visual analysis tool for temporal data associated with cryptocurrencies. Our proposal integrates different visualization methods and interactions to empower users in exploring and understanding temporal patterns, trends, and relationships in cryptocurrency markets.
Red de Universidades con Carreras en Informática
Materia
Ciencias Informáticas
Visualization
Temporal Data Visualization
Cryptocurrencies
Visual Data Analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/164890

id SEDICI_112735de0b761a96d451ad0f25df293e
oai_identifier_str oai:sedici.unlp.edu.ar:10915/164890
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Visual analysis of temporal data associated with cryptocurrenciesBarrionuevo, MercedesGanuza, María LujánCiencias InformáticasVisualizationTemporal Data VisualizationCryptocurrenciesVisual Data AnalysisCryptocurrencies have emerged as a novel and dynamic asset class in the financial landscape, attracting significant attention from investors and researchers alike. As the popularity and diversity of cryptocurrencies continue to grow, there is an increasing need to analyze and understand the temporal dynamics and patterns within their data. Therefore, the treatment of such data involves the application of a wide range of tools for analysis and exploration, including different visualization techniques. In this paper, we present CryptoVisualizer, an integral visual analysis tool for temporal data associated with cryptocurrencies. Our proposal integrates different visualization methods and interactions to empower users in exploring and understanding temporal patterns, trends, and relationships in cryptocurrency markets.Red de Universidades con Carreras en Informática2023-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf160-169http://sedici.unlp.edu.ar/handle/10915/164890enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-9285-51-0info:eu-repo/semantics/reference/url/https://sedici.unlp.edu.ar/handle/10915/163107info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-17T10:26:22Zoai:sedici.unlp.edu.ar:10915/164890Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-17 10:26:22.937SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Visual analysis of temporal data associated with cryptocurrencies
title Visual analysis of temporal data associated with cryptocurrencies
spellingShingle Visual analysis of temporal data associated with cryptocurrencies
Barrionuevo, Mercedes
Ciencias Informáticas
Visualization
Temporal Data Visualization
Cryptocurrencies
Visual Data Analysis
title_short Visual analysis of temporal data associated with cryptocurrencies
title_full Visual analysis of temporal data associated with cryptocurrencies
title_fullStr Visual analysis of temporal data associated with cryptocurrencies
title_full_unstemmed Visual analysis of temporal data associated with cryptocurrencies
title_sort Visual analysis of temporal data associated with cryptocurrencies
dc.creator.none.fl_str_mv Barrionuevo, Mercedes
Ganuza, María Luján
author Barrionuevo, Mercedes
author_facet Barrionuevo, Mercedes
Ganuza, María Luján
author_role author
author2 Ganuza, María Luján
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Visualization
Temporal Data Visualization
Cryptocurrencies
Visual Data Analysis
topic Ciencias Informáticas
Visualization
Temporal Data Visualization
Cryptocurrencies
Visual Data Analysis
dc.description.none.fl_txt_mv Cryptocurrencies have emerged as a novel and dynamic asset class in the financial landscape, attracting significant attention from investors and researchers alike. As the popularity and diversity of cryptocurrencies continue to grow, there is an increasing need to analyze and understand the temporal dynamics and patterns within their data. Therefore, the treatment of such data involves the application of a wide range of tools for analysis and exploration, including different visualization techniques. In this paper, we present CryptoVisualizer, an integral visual analysis tool for temporal data associated with cryptocurrencies. Our proposal integrates different visualization methods and interactions to empower users in exploring and understanding temporal patterns, trends, and relationships in cryptocurrency markets.
Red de Universidades con Carreras en Informática
description Cryptocurrencies have emerged as a novel and dynamic asset class in the financial landscape, attracting significant attention from investors and researchers alike. As the popularity and diversity of cryptocurrencies continue to grow, there is an increasing need to analyze and understand the temporal dynamics and patterns within their data. Therefore, the treatment of such data involves the application of a wide range of tools for analysis and exploration, including different visualization techniques. In this paper, we present CryptoVisualizer, an integral visual analysis tool for temporal data associated with cryptocurrencies. Our proposal integrates different visualization methods and interactions to empower users in exploring and understanding temporal patterns, trends, and relationships in cryptocurrency markets.
publishDate 2023
dc.date.none.fl_str_mv 2023-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/164890
url http://sedici.unlp.edu.ar/handle/10915/164890
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-9285-51-0
info:eu-repo/semantics/reference/url/https://sedici.unlp.edu.ar/handle/10915/163107
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
160-169
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1843533015700996096
score 13.001348