1. A method for analyzing metabolomics data, comprising: automatically receiving, in a database, a three-dimensional data set corresponding to each of a plurality of samples, each of the three-dimensional data sets having at least one of an experimental factor, a sample factor, and a process factor associated therewith; converting the three-dimensional data set into at least one corresponding two-dimensional data set for each of the plurality of samples, such that the respective at least one of an experimental factor, a sample factor, and a process factor remains associated with the corresponding two-dimensional data set; plotting the at least one two-dimensional data set for each of the plurality of samples; comparing the at least one plotted two-dimensional data set for each of the plurality of samples to a plurality of characteristic plots corresponding to a plurality of selected metabolites so as to screen the plurality of samples by associating at least one of the plurality of selected metabolites with the at least one plotted two-dimensional data set for each of the plurality of samples; comparing, for the screened plurality of samples determined to have the at least one of the plurality of selected metabolites associated therewith, the at least one plotted two-dimensional data set for each of the screened plurality of samples, across the screened plurality of samples, so as to determine a trend of the associated at least one of the plurality of selected metabolites, across the screened plurality of samples; displaying a visual indication of the comparison of the at least one plotted two-dimensional data set for each of the screened plurality of samples, across a plurality of the screened plurality of samples, to visually indicate the screened plurality of samples determined to have the at least one of the plurality of selected metabolites associated therewith, and the trend corresponding thereto, across the plurality of the screened plurality of samples; and sorting the comparison of the at least one plotted two-dimensional data set for each of the screened plurality of samples, across a plurality of the screened plurality of samples, by the at least one of an experimental factor, a sample factor, and a process factor associated with the corresponding two-dimensional data set, so as to visually indicate the screened plurality of samples determined to have the at least one of the plurality of selected metabolites associated therewith, and the trend corresponding thereto, across the plurality of the screened plurality of samples, in relation to the at least one of an experimental factor, a sample factor, and a process factor.