Visualization of multiple response data via 2-D and 3-D colors representation

In this paper, we attempt to visualize the multiple response data based on the similarity distances in the responses provided by the survey subjects. The activity involved the transformation of two-dimensional (2-D) solutions into a 3-D space with application of selected colors on the data. This is a first attempt of multiple data transformation from 2-D visual of MDS output to a three-dimensional (3-D) space involving multiple responses of two gender groups. The similarity distance between the responses is used in producing the patterns. Hence, it is a critical success factor in presenting the visual of the multiple response clustering patterns. When the pattern is represented in 3-D space, the height of each object (the given coordinate) represents the summation of distance ratio between one coordinate to all other coordinates, in which, the ratio is the distance between two coordinates with relative to the maximum distance of two points in the data set. The visualization has been successfully created using a computerized engine that can calculate and produce Z coordinates for the third dimension, i.e., the height.