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Generalized scatter plots

机译：广义散点图

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摘要

Scatter Plots are one of the most powerful and most widely used techniques for visual data exploration. A well-known problem is that scatter plots often have a high degree of overlap, which may occlude a significant portion of the data values shown. In this paper, we propose the general-ized scatter plot technique, which allows an overlap-free representation of large data sets to fit entirely into the display. The basic idea is to allow the analyst to optimize the degree of overlap and distortion to generate the best-possible view. To allow an effective usage, we provide the capability to zoom smoothly between the traditional and our generalized scatter plots. We iden-tify an optimization function that takes overlap and distortion of the visualiza-tion into acccount. We evaluate the generalized scatter plots according to this optimization function, and show that there usually exists an optimal compro-mise between overlap and distortion. Our generalized scatter plots have been applied successfully to a number of real-world IT services applications, such as server performance monitoring, telephone service usage analysis and financial data, demonstrating the benefits of the generalized scatter plots over tradi-tional ones.
机译：散点图是用于可视数据探索的最强大，使用最广泛的技术之一。一个众所周知的问题是散点图通常具有高度重叠，这可能会遮挡所示数据值的很大一部分。在本文中，我们提出了一种通用的散点图技术，该技术允许大数据集的无重叠表示完全适合显示。基本思想是使分析人员可以优化重叠和失真的程度，以生成最佳视图。为了有效使用，我们提供了在传统散点图和广义散点图之间平滑缩放的功能。我们确定了一个优化函数，该函数考虑了可视化的重叠和失真。我们根据此优化函数评估广义散点图，并表明在重叠和失真之间通常存在最优折衷。我们的广义散点图已成功应用于许多实际的IT服务应用程序，例如服务器性能监视，电话服务使用情况分析和财务数据，证明了常规散点图相对于传统散点图的优势。

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