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<lom:langstring xml:lang="en">Prototype and Demo of the SoniScope prototype</lom:langstring>

  
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<lom:langstring xml:lang="en">SoniScope is the prototypical implementation of a concept for audio-visual analysis of multivariate data, running inside Jupyter. It combines a scatterplot with an interactive parameter mapping sonification, thereby conveying additional information about items that were selected with a visual lens. SoniScope provides several options for the shape of its lens and the sorting of the selected items for subsequent sonification. Non-visible attributes are sonified via pitch and onset times of 0D auditory marks. For the SoniScope framework, we present a system architecture built on the basis of three well-established software frameworks: Project Jupyter for data analysis, D3.js for visualization, and SuperCollider for sonification.

This contains a Jupyter notebook, a python package with a Jupyter widget, its source code, and demo data. Setup instructions can be found in README.md.</lom:langstring>

  
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<lom:langstring xml:lang="en">sonification</lom:langstring>

  
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<lom:langstring xml:lang="en">visualization</lom:langstring>

  
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<lom:langstring xml:lang="en">visual analytics</lom:langstring>

  
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<lom:langstring xml:lang="en">audio-visual analytics</lom:langstring>

  
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<lom:langstring xml:lang="en">prototype</lom:langstring>

  
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<lom:datetime>2022-05-25T07:06:32.120Z</lom:datetime>

  
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N:Aigner;Wolfgang;
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