On the one side of the spectrum, we find the conventional way of processing experimental data in many institutes and corporations to this day. All too often, the processes rely on processing experimental data files collected from the respective instruments using conventional spreadsheet programs that are more or less functionally directed toward scientific questions. When batch processing of the files is impossible, this method entails considerable manual effort. Additionally, it is susceptible to numerous sources of error, such as assigning inappropriate filenames that hinder a connection between studied samples and the obtained results files or inaccuracies in copy-and-paste steps that may be required in the established data processing routines. Complete flexibility regarding the analysis of particular individual cases is given, admittedly.