Blasilli, GrazianoLenti, SimonePalleschi, AlessiaMadeiras Pereira, João and Raidou, Renata Georgia2019-06-022019-06-022019978-3-03868-088-8https://doi.org/10.2312/eurp.20191131https://diglib.eg.org:443/handle/10.2312/eurp20191131Filtering 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.Humancentered computingVisualization systems and toolsVisualization toolkits10.2312/eurp.201911311-3