CAVIR: CORRESPONDENCE ANALYSIS IN VIRTUAL REALITY WAYS TO A VALID INTERPRETATION OF CORRESPONDENCE ANALYSIS POINT CLOUDS IN VIRTUAL ENVIRONMENTS

Correspondence Analysis (CA) is frequently used to interpret correlationsbetween categorical variables in the area of market research. To do so, coherences ofvariables are converted to a three-dimensional point cloud and plotted as threedifferent 2D-mappings. The major challenge is to correctly interpret these plottings.Due to a missing axis, distances can easily be under- or overestimated. This can leadto a misinterpretation of data and thus to faulty conclusions. To address this problemwe present CAVIR, an approach for CA in Virtual Reality. It supports users with avirtual three-dimensional representation of the point cloud and different tools foranalysis and clustering. Besides, the free rotation of the entire point cloud enables theCA user to always have a correct view of the data.