A Web Framework for Explainable and Malleable Visualisation

Simon Malthe Hansen, Ira Assent, Hans-Jörg Schulz

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer 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.
OriginalsprogEngelsk
TitelEuroVisPosters2024 : Poster Proceedings of the 26th Eurographics Conference on Visualization
RedaktørerKostiantyn Kucher, Alexandra Diehl, Christina Gillmann
Antal sider3
ForlagThe Eurographics Association
Publikationsdato2024
ISBN (Elektronisk)978-3-03868-258-5
DOI
StatusUdgivet - 2024

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