Visualizing Time-Dependent Data in Multivariate Hierarchic Plots - Design and Evaluation of an Economic Application
Visualizing Time-Dependent Data in Multivariate Hierarchic Plots - Design and Evaluation of an Economic Application
复制标题
在多元层次图中可视化瞬态数据 - 经济应用的设计和评估
DOI：
--
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Tobias Schreck
中科院分区：
文献类型：
--
作者：
Tatiana Tekusová;Tobias Schreck
为了在现代经济中成功竞争，需要分析大量的分层时间相关数据。例如，人们可以考虑欧洲联盟通货膨胀的地理构成，或者一家公司上个月按产品（子）类别划分的收入。分析师希望不仅在单个时间点解释数据的结构，而且检查数据类别随时间的变化。分析师可能需要考虑组成和时间的其他维度，例如增长率或利润率。为了反映这样的分析要求，我们已经开发了一个交互式的多维可视化，结构化的数据考虑到时间维度。数据以三维分层圆形或柱形图显示。数据的时间维度由动画表示。我们的系统提供了交互式工具的可视化数据分析和变量设置的数据显示。为了在数据空间中更好地定位，我们在3D分层图的情况下通过不同数据选择之间的平滑过渡增强了可视化。所提出的技术可以应用于各种数据域。使用欧洲通胀数据进行的用户研究表明，有效的经济分析是有用的。
For successfully competing in a modern economy, large amounts of hierarchic time-dependent data need to be analyzed. As an example, one could consider the geographic composition of inflation in the European Union, or the revenue by product (sub) categories of a firm in the last month. Analysts wish to interpret the structure of the data not only at a single point in time, but examine the changes in the data categories through time. The analysts may need to consider additional dimensions to composition and time, such as the growth rate or profit rate. To reflect such analytic requirements, we have developed an interactive visualization of multi-dimensional, structured data taking the time dimension into account. The data are displayed in a three dimensional hierarchic circular or column plot. The time dimension of the data is represented by animation. Our system provides interactive tools for the visual data analysis and variable set-up of the data display. For better orientation in the data space, we have enhanced the visualization with smooth transitions between different data selections in case of 3D hierarchic plots. The techniques presented can be applied to various data domains. A user study using European inflation data has shown the usefulness for effective economic analysis.