Contents 1 Introduction
The technological developments in immersive technology over the past several years have led to the rapid change in Extended Reality (XR) (including VR, AR, and MR), from concept through to commercial possibilities [20]. Currently, flat displays are used mostly for data visualisation. This brings a problem for data that is in-herently 3D, because rendering 3D data visualizations on screens suffers from problems with occlusion, perspective distortion, and other similar problems, as well as a general loss of information [13]. But as field of view, and resolution of XR headset devices improves, traditional screens might be inexpensively replaced by wearable headsets that provide immersive representation of such 3D data. There are many visualization techniques for 3D data in immersive environments found in the literature like Munzner's category [16] that includes node-link graph (networks and tree visualizations), scatterplots (multiple data entries, represented as points in 2D/3D coordinate systems), parallel coordinate plots (PCPs: multiple data entries, represented as lines between arranged axes), glyphs, icons and symbols (visual data metaphors that often encode more than one dimension), geographic (real-world geometry representations), volume (3D object visualizations), flow (scalar-, vector-, and tensor-field visualizations), height map visualizations, and Kohonen map representations [11]. These visualizations can be abstract or non-abstract data visualizations. Visualizations of abstract data show data without a natural physical or spatial representation in immersive 3D environments like 3D scatterplots or 3D parallel coordinates [11]. Non-abstract data has inherent spatial properties like CAD drawings or CT/MRI data.
