VISUEL - A Web Dynamic Dashboard for DataVisualization
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[1] ICIC- Institute of Computer Science & Engineering, UNS-CONICET
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- Localización: Journal of Computer Science and Technology, ISSN-e 1666-6038, Vol. 22, Nº. 1, 2022 (Ejemplar dedicado a: Fifty-Fifth Issue; e07)
- Idioma: inglés
- DOI: 10.24215/16666038.22.e03
- Títulos paralelos:
- VISUEL - Un Tablero Dinámico Web para la Visualización de Datos
- Enlaces
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Resumen
- español
La visualización de datos tiene como objetivo explorar y analizar los datos de forma rápida, interactiva e intuitiva mediante representaciones visuales. Ante el constante crecimiento de los datos en términos de volúmen y diversidad, las técnicas de visualización deben afrontar el desaf´ıo de lidiar con conjuntos de datos cada vez mas grandes en términos de representación, interacción y desempeño. Por lo tanto, estas técnicas deben ser capaces de transmitir de manera efectiva las caracter´ısticas del espacio de información e inspirar el descubrimiento.
En este artículo, presentamos VISUEL, un tablero web dinámico para la visualización de datos. VISUEL admite múltiples vistas coordinadas, integrando técnicas de visualización como diagramas de dispersión, coordenadas paralelas, diagramas de caja, y mapas esquemáticos interactivos para representar información enriquecida con referencias espaciales.
VISUEL es totalmente interactivo y admite interacciones tradicionales como filtrado, selección, brushing and linking, y zoom, entre otras. También permite al usuario configurar la representacion visual de sus datos, seleccionando el color y la forma de las representaciones.
Ilustramos la utilidad de esta herramienta utilizando datos reales relacionados con la industria del vino en Argentina. Mostramos cómo se descubren aspectos importantes de nuestro caso de estudio mediante la construcción y el análisis de múltiples vistas.
- English
Data visualization aims to explore and analyze data quickly, interactively, and intuitively using visual representations. Faced with the constant growth of data in terms of volume and diversity, visualization techniques must confront the challenge of dealing with increasingly large datasets in terms of representation, interaction, and performance. Therefore, these techniques must be able to effectively convey the characteristics of the information space and inspire discovery.In this article, we present VISUEL, a web dynamic dashboard for data visualization. VISUEL supports multiple coordinated views, integrating visualization techniques such as scatter plots, parallel coordinates, and box plots, and interactive schematic maps to represent information enriched with spatial references.VISUEL is fully interactive, supporting traditional interactions like filtering, selection, brushing and linking, and zooming, among others. It also allows the user to configure the visual representation of their data, by selecting the color and shape of the representations.We illustrate the usefulness of this tool using real-life data related to the wine industry in Argentina. Important aspects of our case study are discovered through the construction and analysis of multiple views.
- español
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