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Width-Scale Bar Charts for Data with Large Value Range

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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