Data visualisation has been recognised as a bridge which connects quantitative content and human intuition. This acknowledges that there are limits to algorithmic approaches and that human interaction with data representations provide a complementary approach to identifying meaningful patterns and anomalies. Research with data representations have evolved from activity within scientific visualization and information visualization to coalesce around the emerging field of visual analytics. Typically such visualization involve established techniques ranging from graphs, scatterplots, to tree maps, display icons, tag clouds and clustergrams. While these are becoming increasingly sophisticated in terms of interface and interaction they are still inherently graphical and are typically represented on a two dimensional screen. In this paper we report on our experiments with spatializing typical visualization techniques within interactive 3D environments.