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dc.contributor.authorHöhn, Markusen_US
dc.contributor.authorWunderlich, Marcelen_US
dc.contributor.authorBallweg, Kathrinen_US
dc.contributor.authorLandesberger, Tatiana vonen_US
dc.contributor.editorKerren, Andreas and Garth, Christoph and Marai, G. Elisabetaen_US
dc.date.accessioned2020-05-24T13:52:02Z
dc.date.available2020-05-24T13:52:02Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-106-9
dc.identifier.urihttps://doi.org/10.2312/evs.20201056
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20201056
dc.description.abstractData sets with large value range are difficult to visualize with traditional linear bar charts. Usually, a logarithmic scale is used in these cases. However, the logarithmic scale suffers from non-linearity. Recently, scale-stack bar charts and magnitude markers, improve the readability of values. However, they have other disadvantages such as various scales or several objects for visualizing one value. We propose the width-scale bar chart that uses width, height and color to cover a large value range within one linear scale. A quantitative user study shows advantages of our design - especially for reading values.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.titleWidth-Scale Bar Charts for Data with Large Value Rangeen_US
dc.description.seriesinformationEuroVis 2020 - Short Papers
dc.description.sectionheadersRepresentation, Perception, and ML
dc.identifier.doi10.2312/evs.20201056
dc.identifier.pages103-107


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License