Interactive Visualisation of Automotive Warranty Data Using Novel Extensions of Chord Diagrams
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Date
2014
Authors
Nicholas, Michael
Archambault, Daniel
Laramee, Robert S
Archambault, Daniel
Laramee, Robert S
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Descriptive and predictive analytics enable the automotive industry to be pro-active in its management of warrantyrepairs and the substantial unknown costs associated with future claims. Understanding what makes theircustomers most dissatisfied can assist manufacturers to take pro-active steps towards restoring satisfaction andincreasing the likelihood of customers making future purchases. Presented in this short work-in-progress paperare two techniques which enable the interactive visualisation of high-dimensional relationships within categoricaldata. Our Multi-Chord Diagram and Multi-Chord Glyph Diagram extend traditional Chord Diagrams, overcomingthe limitation of only depicting relationships between category pairs. We present these techniques in an application,addressing a real-world problem of visualising data relating to customer satisfaction following variouscombinations of automotive warranty repair. Although presented as a novel application for visualising customersatisfaction, we feel that the techniques described could also be applied to other scenarios involving the visualisationof variable high-dimensional relationships within categorical data.
Description
@inproceedings{10.2312:eurovisshort.20141167,
booktitle = {EuroVis - Short Papers},
editor = {N. Elmqvist and M. Hlawitschka and J. Kennedy},
title = {{Interactive Visualisation of Automotive Warranty Data Using Novel Extensions of Chord Diagrams}},
author = {Nicholas, Michael and Archambault, Daniel and Laramee, Robert S},
year = {2014},
publisher = {The Eurographics Association},
ISBN = {978-3-905674-69-9},
DOI = {10.2312/eurovisshort.20141167}
}