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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/164890
Ver los metadatos del registro completo
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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 |
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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 |
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publishedVersion |
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http://sedici.unlp.edu.ar/handle/10915/164890 |
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http://sedici.unlp.edu.ar/handle/10915/164890 |
dc.language.none.fl_str_mv |
eng |
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eng |
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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) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf 160-169 |
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