1. A system for the calculation of variable correlation anomalies based upon multiple correlation variables, the system further comprising: a data import component, wherein the data import component is configured to receive target data files, reference data files, and variable definition data files; a data parsing component, wherein the data parser component is configured to parse target input data that is retrieved from a target input data file, and reference input data that is retrieved from a reference input data file; a variable definition parser component, wherein the variable definition parser component is configured to parse variable definition input data that is retrieved from a variable input data file; a data analysis engine, wherein the data analysis engine is configured to perform the steps of: calculating a similarity matrix for a set of variables for the reference input data and the target input data; mapping the similarity matrices to a low-dimensional vector space in order to calculate a coordinate value for each variable that is comprised within a reference input data matrix and a target input data matrix; calculating an energy value per variable for each coordinate calculated value comprises within the reference input data matrix and the target input data matrix; comparing the calculated energy values derived from the reference input value matrix and the target input value matrix in order to determine the degree of anomalies between the respective energy values; generating a resultant diagnostic analysis file, wherein the file comprises information in regard to the resultant degree of correlation anomalies that exist between the target input value matrix and the reference input value matrix; and a visualization component, wherein the visualization component generates a histogram, the histogram providing visual details in regard to the determined degree of anomalies between the respective energy values.