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dc.contributor.authorBlasilli, Grazianoen_US
dc.contributor.authorLenti, Simoneen_US
dc.contributor.authorPalleschi, Alessiaen_US
dc.contributor.editorMadeiras Pereira, João and Raidou, Renata Georgiaen_US
dc.date.accessioned2019-06-02T18:21:07Z
dc.date.available2019-06-02T18:21:07Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-088-8
dc.identifier.urihttps://doi.org/10.2312/eurp.20191131
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20191131
dc.description.abstractFiltering is one of the basic interaction techniques in information visualization. To better support a filtering activity, the visualization should be enriched by selectors composed of different visual elements and data distribution (i.e., scented widgets), in order to improve the navigation of information spaces and the comprehension of the filtering result. Thus, we propose CrossWidget, an open source JavaScript D3.js plugin, aimed at supporting cross filtering activities. To better perform multiple selections, to understand their result, and to better investigate the relationships among attributes of the dataset, this plugin proposes a set of ''multiple scented widgets'' that can be easily customized and integrated into Web visualization systems.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisualization systems and tools
dc.subjectVisualization toolkits
dc.titleCrossWidget: a D3.js Plugin to Support Multiple Scented Cross Filtering Activitiesen_US
dc.description.seriesinformationEuroVis 2019 - Posters
dc.description.sectionheadersPosters
dc.identifier.doi10.2312/eurp.20191131
dc.identifier.pages1-3


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