Höhn, Markus ; Wunderlich, Marcel ; Ballweg, Kathrin ; Landesberger von Antburg, Tatiana (2020)
Width-Scale Bar Charts for Data with Large Value Range.
EuroVis 2020: 11th International EuroVis Workshop on Visual Analytics. virtual Conference (25.05.2020-29.05.2020)
doi: 10.2312/evs.20201056
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Data sets with large value range are difficult to visualize with traditional linear bar charts. Usually, a logarithmic scale isused in these cases. However, the logarithmic scale suffers from non-linearity. Recently, scale-stack bar charts and magnitudemarkers, improve the readability of values. However, they have other disadvantages such as various scales or several objectsfor visualizing one value. We propose the width-scale bar chart that uses width, height and color to cover a large value rangewithin one linear scale. A quantitative user study shows advantages of our design – especially for reading values.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2020 |
Autor(en): | Höhn, Markus ; Wunderlich, Marcel ; Ballweg, Kathrin ; Landesberger von Antburg, Tatiana |
Art des Eintrags: | Bibliographie |
Titel: | Width-Scale Bar Charts for Data with Large Value Range |
Sprache: | Englisch |
Publikationsjahr: | 2020 |
Veranstaltungstitel: | EuroVis 2020: 11th International EuroVis Workshop on Visual Analytics |
Veranstaltungsort: | virtual Conference |
Veranstaltungsdatum: | 25.05.2020-29.05.2020 |
DOI: | 10.2312/evs.20201056 |
URL / URN: | https://conferences.eg.org/egev20/program/ |
Kurzbeschreibung (Abstract): | Data sets with large value range are difficult to visualize with traditional linear bar charts. Usually, a logarithmic scale isused in these cases. However, the logarithmic scale suffers from non-linearity. Recently, scale-stack bar charts and magnitudemarkers, improve the readability of values. However, they have other disadvantages such as various scales or several objectsfor visualizing one value. We propose the width-scale bar chart that uses width, height and color to cover a large value rangewithin one linear scale. A quantitative user study shows advantages of our design – especially for reading values. |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
Hinterlegungsdatum: | 29 Mai 2020 06:26 |
Letzte Änderung: | 22 Jul 2021 18:31 |
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