Mondrian's Colors is a data visualization project measuring changes in primary color usage (red, blue, and yellow) in Piet Mondrian's abstract, Neo-Plasticist paintings. Its goal is to determine what (if any) patterns exist.
The visualization aimed to display 1) the paintings themselves as the primary objects of interest, 2) the relative overall changes in color proportions over time, and 3) the dynamic fluctuations in color from one piece of art to the next. To accomplish this, the display shows a slide show of the paintings (1) synched with a color-keyed line graph of primary color proportions (2) with animated transitions (3) as the colors rearrange from one canvas to the next. In combination, these three strategies cumulatively convey far more information than any could alone.
This project was created as a final project for Empirical and Mathematical Reasoning 19, a data visualization course at Harvard, taught by Professor Alyssa Goodman.
TAGS: visualization, art