Abstract: A system for interactive visualization of items in an online environment based on textual and quantitative properties of those items is described. End-users of the system are humans and items can be any objects such as songs, books, and other users. One aspect of the system is a process used to map an item's quantitative and textual data into a position in the visualization, e.g., a two or three dimensional space. Using transformation matrices canonical correlation analysis (CCA) and a specific item's quantitative and textual data, the system projects an item onto the visualization and uses ratings and spatial positions to assign reputation values to each end-user and their textual responses to facilitate efficient browsing and rating of items and viewing of patterns, trends, and insights as they emerge.