To identify general trends in the chemical composition with respect to colors, first, all entries with 𝑆 1 excitation energies within (arbitrarily) grouped wavelength regions of visible light (380 -750 nm) were extracted. Figure shows the overall distribution of samples in these excitation energies and how they were split into seven groups of color ranges. It can be found that most of the molecules in the prediction set absorb in the blue and green wavelength regions, while red and purple seem less common inside the chosen chemical space. the middle between 380 and 450 nm for purple) was chosen without additional weighting with respect to the data distribution within the group. Also note, that while observations can be drawn from such occurrences with ease, interpretation still remains difficult without a thorough analysis of the non-local electronic structure (i.e. the wavefunction). An example of such a follow-up wavefunction analysis can be taken from the previous work, but is beyond the scope of this case study. Therefore, the following interpretation of trends -while observable in a data-set of over a million molecules -needs to be understood as relatively vague for the time being.