Interpreting analytical data involves several steps, including data collection, processing, and analysis. Various software tools and statistical methods are used to analyze the data. For example, kinetic modeling can be used to fit experimental data to mathematical models, helping to determine reaction rates and mechanisms. Similarly, spectral deconvolution techniques are used to analyze complex spectra and identify individual components.
