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StreamVisND: Visualizing relationships in streaming multivariate data

机译:StreamVisnd:可视化流式多变量数据中的关系

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In streaming acquisitions the data changes over time. ThemeRiver and line charts are common methods to display data over time. However, these methods can only show the values of the variables (or attributes) but not the relationships among them over time. We propose a framework we call StreamVisND that can display these types of streaming data relations. It first slices the data stream into different time slices, then it visualizes each slice with a sequence of multivariate 2D data layouts, and finally it flattens this series of displays into a parallel coordinate type display. Our framework is fully interactive and lends itself well to real-time displays.
机译:在流媒体中获取数据随时间变化。 Themeriver和Line图表是随时间显示数据的常用方法。但是,这些方法只能显示变量(或属性)的值,而不是随时间之间的关系。我们提出了一个框架,我们调用StreamVisnd,可以显示这些类型的流数据关系。它首先将数据流切片到不同的时间片中,然后它通过多变量2D数据布局序列可视化每个切片,最后将该系列显示器变平到并联坐标型显示器中。我们的框架是完全交互式的,并且可以很好地提供实时显示。

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