Spectral data sets are often quite large and analyses with these large data sets require significant computational resources and time. It is often useful, particularly for preliminary analyses of the major features in the data, to bin the similar observations into groups.The Spectral 2D Bin process reduces the total number of rows ( X values) for two-dimensional spectra by binning them and averaging the spectra within the bins.One data set is required to run the Spectral 2D Bin process. This data set must be in tall format, with one variable (column) for each spectrum and another variable for the value of the m/z or time-of-flight index. The name of the input SAS data set must be lowercase.The wright_tall_2k_10k.sas7bdat data set, shown below, lists 165 individual spectra. The mz column lists the m/z values for each of the points in the spectra.For detailed information about the files and data sets used or created by JMP Life Sciences software, see Files and Data Sets .Refer to the 2D Bin output documentation for detailed descriptions of the output and guides to interpreting your results.