A Web Framework for Explainable and Malleable Visualisation

Simon Malthe Hansen; Ira Assent; Hans-Jörg Schulz

doi:10.2312/evp.20241080

A Web Framework for Explainable and Malleable Visualisation

Simon Malthe Hansen, Ira Assent, Hans-Jörg Schulz

Department of Computer Science

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

Abstract

We present a novel web-framework which combines malleability in both the visualisation and pre-processing steps of the data visualisation pipeline. The framework lets users create Charts which can be visually modified to the use case, and each have their own fully editable Python code model with access to Python's extensive libraries. This puts the user in control over both pre-processing in Python and the final visualisation, making the effects of each pipeline step explainable and transparent.

Original language	English
Title of host publication	EuroVisPosters2024 : Poster Proceedings of the 26th Eurographics Conference on Visualization
Editors	Kostiantyn Kucher, Alexandra Diehl, Christina Gillmann
Number of pages	3
Publisher	The Eurographics Association
Publication date	2024
ISBN (Electronic)	978-3-03868-258-5
DOIs	https://doi.org/10.2312/evp.20241080
Publication status	Published - 2024

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10.2312/evp.20241080Licence: CC BY

Cite this

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title = "A Web Framework for Explainable and Malleable Visualisation",

abstract = "We present a novel web-framework which combines malleability in both the visualisation and pre-processing steps of the data visualisation pipeline. The framework lets users create Charts which can be visually modified to the use case, and each have their own fully editable Python code model with access to Python's extensive libraries. This puts the user in control over both pre-processing in Python and the final visualisation, making the effects of each pipeline step explainable and transparent.",

author = "Hansen, {Simon Malthe} and Ira Assent and Hans-J{\"o}rg Schulz",

year = "2024",

doi = "10.2312/evp.20241080",

language = "English",

editor = "Kostiantyn Kucher and Alexandra Diehl and Christina Gillmann",

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publisher = "The Eurographics Association",

}

A Web Framework for Explainable and Malleable Visualisation. / Hansen, Simon Malthe; Assent, Ira ; Schulz, Hans-Jörg.
EuroVisPosters2024: Poster Proceedings of the 26th Eurographics Conference on Visualization. ed. / Kostiantyn Kucher; Alexandra Diehl; Christina Gillmann. The Eurographics Association, 2024.

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

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AU - Assent, Ira

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AB - We present a novel web-framework which combines malleability in both the visualisation and pre-processing steps of the data visualisation pipeline. The framework lets users create Charts which can be visually modified to the use case, and each have their own fully editable Python code model with access to Python's extensive libraries. This puts the user in control over both pre-processing in Python and the final visualisation, making the effects of each pipeline step explainable and transparent.

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DO - 10.2312/evp.20241080

M3 - Article in proceedings

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A2 - Kucher, Kostiantyn

A2 - Diehl, Alexandra

A2 - Gillmann, Christina

PB - The Eurographics Association

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A Web Framework for Explainable and Malleable Visualisation

Abstract

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