Interactive Visualisation of Automotive Warranty Data Using Novel Extensions of Chord Diagrams
Interactive Visualisation of Automotive Warranty Data Using Novel Extensions of Chord Diagrams
复制标题
使用弦图的新颖扩展实现汽车保修数据的交互式可视化
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
J. Kennedy
中科院分区：
文献类型：
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作者：
N. Elmqvist;M. Hlawitschka;J. Kennedy
描述性和预测性分析使汽车行业能够积极主动地管理保修维修和与未来索赔相关的大量未知成本。了解什么使他们的客户最不满意，可以帮助制造商采取积极的措施，以恢复满意度和增加客户的可能性，使未来的购买。在这篇简短的正在进行的论文中，提出了两种技术，可以实现分类数据中高维关系的交互式可视化。我们的多弦图和多弦Glenge图扩展了传统的弦图，克服了只描述类别对之间关系的局限性。我们提出了这些技术在应用程序中，解决了现实世界中的问题，可视化数据有关的客户满意度以下各种组合的汽车保修维修。虽然作为一个新的应用程序可视化客户满意度，我们认为，所描述的技术也可以应用到其他场景中，涉及可视化的高维关系的分类数据。
Descriptive and predictive analytics enable the automotive industry to be pro-active in its management of warranty repairs and the substantial unknown costs associated with future claims. Understanding what makes their customers most dissatisfied can assist manufacturers to take pro-active steps towards restoring satisfaction and increasing the likelihood of customers making future purchases. Presented in this short work-in-progress paper are two techniques which enable the interactive visualisation of high-dimensional relationships within categorical data. Our Multi-Chord Diagram and Multi-Chord Glyph Diagram extend traditional Chord Diagrams, overcoming the 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 various combinations of automotive warranty repair. Although presented as a novel application for visualising customer satisfaction, we feel that the techniques described can also be applied to other scenarios involving the visualisation of high-dimensional relationships within categorical data.