Results obtained using the Mass-remainder analysis and the Multi-step Mass-remainder demonstrated their strength and effectiveness at sorting copolymer sample data sets and visualizations even though copolymer mass spectra were complex at higher masses. They also revealed differences and similarities in the chemical composition of the copolymer. Furthermore, it helped to overcome the issue related to overlapped peaks. Especially Multi-step Mass-remainder removed repetitive patterns of mass spectrum peaks and simplified the copolymer data sets with sequential calculation which helped to evaluate the components accurately. As mentioned above the selection of the proper base mass unit is a crucial part of the method to obtain effective and accurate data sorting. For the first copolymer sample NAM:NIPA 20:5, NAM is a better option while NIPA is a better option as a base unit mass for NAM:NIPA 10:20 average block length designed sample. NAM+NIPA base unit gives us a general idea of the average block length of the copolymer sample but the selection of one of the repeat units is a more effective and accurate way of sorting and grouping copolymer data sets. Other than m/z vs MR1 and m/z vs MR2, MR2 vs MR1 or m/z MR3 can be plotted in order to identify copolymers.