Tracing Tuples Across Dimensions: A Comparison of Scatterplots and Parallel Coordinate Plots
Tracing Tuples Across Dimensions: A Comparison of Scatterplots and Parallel Coordinate Plots
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DOI：
10.1111/j.1467-8659.2012.03129.x
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发表时间：
2012-06
影响因子：
2.5
通讯作者：
Xiaole Kuang;Haimo Zhang;Shengdong Zhao;Michael J. McGuffin
中科院分区：
文献类型：
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作者：
Xiaole Kuang;Haimo Zhang;Shengdong Zhao;Michael J. McGuffin
分析活动的基本任务之一是检索(即读取)信息可视化中的特定量的值。然而，以前很少有研究比较不同视觉化的用户在这类价值提取任务中的表现。我们给出了四种多变量数据可视化的用户性能(时间和误差距离)的实验比较。比较了三种不同类型的散点图(SCP-COMMON)，即具有共同垂直轴的SCP(SCP-COMMON)、具有阶梯布局的SCP(SCP-STIRCASE)、相邻细胞之间具有旋转轴的SCP(SCP-ROTATED)和基线平行坐标图(PCP)。结果表明，基线PCP在所有条件下都优于SCP旋转和SCP阶梯，而SCP-COMMON和PCP的差异取决于数据集的维度和密度。当数据集的维度和密度较低时，PCP表现出优于SCP-COMMON的优势，但随着数据维度和密度的增加，SCP-COMMON最终会优于PCP。这一结果为SCP和PCP的使用提供了指导方针，可以使未来的研究人员和从业者受益。
One of the fundamental tasks for analytic activity is retrieving (i.e., reading) the value of a particular quantity in an information visualization. However, few previous studies have compared user performance in such value retrieval tasks for different visualizations. We present an experimental comparison of user performance (time and error distance) across four multivariate data visualizations. Three variants of scatterplot (SCP) visualizations, namely SCPs with common vertical axes (SCP‐common), SCPs with a staircase layout (SCP‐staircase), and SCPs with rotated axes between neighboring cells (SCP‐rotated), and a baseline parallel coordinate plots (PCP) were compared. Results show that the baseline PCP is better than SCP‐rotated and SCP‐staircase under all conditions, while the difference between SCP‐common and PCP depends on the dimensionality and density of the dataset. PCP shows advantages over SCP‐common when the dimensionality and density of the dataset are low, but SCP‐common eventually outperforms PCP as data dimensionality and density increase. The results suggest guidelines for the use of SCPs and PCPs that can benefit future researchers and practitioners.