VISUEL - A Web Dynamic Dashboard for Data Visualization

Abstract

Data visualization aims to explore and analyze data quickly, interactively, and intuitively using visual rep-resentations. 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 charac-teristics of the information space and inspire discov-ery. In this article, a web dynamic dashboard for data visualization called VISUEL is presented. VISUEL supports multiple coordinated views, integrating visualization techniques such as scatterplots, parallel coordinates, and box plots, and interactive schematic maps to represent information enriched with spatial references. VISUEL is fully interactive, supporting tra-ditional interactions like filtering, selection, brushing and linking, and zooming, among others. It also al-lows the user to configure the visual representation of their data, by selecting the color and shape of the rep-resentations. The usefulness of this tool is illustrated using real-life dataset related to the wine industry in Argentina. Important aspects of the case study are discovered through the construction and analysis of multiple views.