Correspondence analysis, multiple correspondence analysis, preference mapping, and multidimensional preference analysis are descriptive statistical methods that generate graphical displays from data matrices. These methods are used by marketing researchers to investigate relationships among products and individual differences in preferences for those products. The end result is a twoor three-di...

The snowflake plot is a scatter plot that displays relative timings of three neurons. It has had rather limited use since its introduction by Perkel, Gerstein, Smith, and Tatton (1975), in part because its triangular coordinates are unfamiliar and its theoretical properties are not well studied. In this letter, we study certain quantitative properties of this plot: we use projections to relate ...

Text documents are complex high dimensional objects. To effectively visualize such data it is important to reduce its dimensionality and visualize the low dimensional embedding as a 2-D or 3-D scatter plot. In this paper we explore dimensionality reduction methods that draw upon domain knowledge in order to achieve a better low dimensional embedding and visualization of documents. We consider t...

Text documents are complex high dimensional objects. To effectively visualize such data it is important to reduce its dimensionality and visualize the low dimensional embedding as a 2-D or 3-D scatter plot. In this paper we explore dimensionality reduction methods that draw upon domain knowledge in order to achieve a better low dimensional embedding and visualization of documents. We consider t...

Line graphs that average response frequency over long periods obscure the major rate changes that indicate sources of behavioral control. A scatter plot can make patterns of responding identifiable and, in turn, suggest environmental features that occasion undesirable behavior. Use of scatter diagrams is illustrated in three cases.

A comparison study between parallel and perpendicular (scatter plot) plot visualization techniques are addressed. Comparison discussion focuses on the disadvantage and advantages of the two techniques and a GOMS analysis of the related tasks based on a system called the PaCQ interface. Keywords-parallel coordinate; scatter plot; information visualization; multidimensional; GOMS analysis;

Graphical methods play an important role in SA, since they provide a means of visualizing the relationships between the output and input factors. However, in complex problems, with many input variables, the problem of constructing useful graphical presentations becomes challenging, and the types of solutions become more varied. This chapter presents a number of familiar and perhaps not so famil...

In this work, we propose and compare several methods for the visualization and exploration of time-varying volumetric medical images based on the temporal characteristics of the data. The principle idea is to consider a time-varying data set as a 3D volume where each voxel contains a time-activity curve (TAC). We define and appraise three different TAC similarity measures. Based on these measur...

The scatter plot is a well-known method of visualizing pairs of two continuous variables. Scatter plots are intuitive and easy-to-use, but often have a high degree of overlap which may occlude a significant portion of the data. To analyze a dense non-uniform dataset, a recursive drill-down is required for detailed analysis. In this paper, we propose variable binned scatter plots to allow the vi...