  We develop methodology for visualization of labeled mixed-featured datasets.
We first investigate datasets with continuous features where our Max-Ratio
Projection (MRP) method utilizes the group information in high dimensions to
provide distinctive lower-dimensional projections that are then displayed using
Radviz3D. Our methodology is extended to datasets with discrete and continuous
features where a Gaussianized distributional transform is used in conjunction
with copula models before applying MRP and visualizing the result using
RadViz3D. A R package $radviz3d$ implementing our complete methodology is
available.
