TY - JOUR TI - Cube maze DO - https://doi.org/doi:10.7282/T3X92F6D PY - 2017 AB - Conventional data visualization methods are very narrow in terms of the data typeson which they are applicable. We present a novel way of viewing multi-attributeddataset by grouping subsets of attributes into facets. Cube-Maze interface visually rep-resents each data “entity” as a cube in three dimensional space. Similarity among “datacubes” correspond to 0, 1, and 2 dimensional adjacencies. Our current implementationprovides different modes of “EgoNet” navigation and several interaction filters. Thegraph counterpart for this cube maze representation is a “Labeled Multi Digraph”. KW - Computer Science KW - Information visualization LA - eng ER -