How should we design violin plots?
Visualitza/Obre
10.1109/VisGuides57787.2022.00006
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/384009
Tipus de documentText en actes de congrés
Data publicació2022
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
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Abstract
One way to illustrate distributions of samples is through the use of violin plots. The original design is a combination of boxplot and density plot mirrored and plot around the boxplot. However, there are other designs in literature. Although they seem a powerful way to illustrate distributions, the fact that they encode distributions makes them difficult to read. Users have problems comparing two different distributions, and certain basic statistics such as the mean can be difficult to estimate properly. To get more insights on how people interprets violin plots, we have carried out an experiment to analyze how the different configurations affect judgments over values encoded in those plots.
CitacióMolina, E.; Viale, L.; Vazquez, P. How should we design violin plots? A: IEEE Workshop on Visualization Guidelines in Research, Design, and Education. "2022 IEEE 4th Workshop on Visualization Guidelines in Research, Design, and Education: VisGuides 2022: Oklahoma City, USA (Hybrid), 17 October 2022: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 1-7. ISBN 979-8-3503-9712-3. DOI 10.1109/VisGuides57787.2022.00006.
ISBN979-8-3503-9712-3
Versió de l'editorhttps://ieeexplore.ieee.org/document/9990990
Fitxers | Descripció | Mida | Format | Visualitza |
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Perception_of_Violin_PlotsAuthorVersion.pdf | 2,915Mb | Visualitza/Obre |