A python application was written with the purpose of facilitating the representation of data in both an audio and visual manner. The representations are in the artistic forms of color field paintings and music. This allows for the quick recognition of similarities and differences in the complexities of the data and art. Data was created from musical pieces to give a reference of how closely the program could recreate art. They were chosen from nursery rhymes and Mozart. Also data was generated from random white noise, 1/f, and Brownian data sets. Comparing these data sets showed the greatest similarity between Nursery Rhymes and Brownian motion, as well as between Mozart and 1/f data sets.
Jenkins, Jeffrey, "Complexity and Art" (2016). Physics Capstone Project. Paper 33.