1. An automated computerized method for visualization, replication, sharing, or analysis of large data sets, the computerized method comprising the steps of: receiving an input data set, wherein the input data set comprises data that can be classified in classification dimensions wherein a first classification dimension is a linear ordering of data entries and a second classification dimension; obtaining an unabridged data table listing results for each combination of coordinates in the first classification dimension and the second classification dimension; and displaying contents of the unabridged data table as a visual array wherein two axes correspond to the coordinates and a third axis corresponds to a third dimension, wherein the third dimension represents an actual value of the respective data point for the coordinates, and expanding the display of a result of a genome-wide association study (GWAS) data set for genome-wide variants including real-time replication of candidate or putative genes to limit statistical penalties in the visual array, wherein the visual array is depicted as a three-dimensional image that can be displayed as a moving video mode above a surface wherein two axis in the horizontal plane represent the first classification dimension and the second classification dimension, while height of blocks rising from that plane represent the third dimension.