Technically speaking, data was obtained from The National Gallery of Art website (http://www.nga.gov/, Washington, DC). Data was extracted from the web with free tools such as import.io. Visual features extraction and quantification was made with ImageJ and Cultural Analytics Lab tools. Data was cleaned and processed with several tools: MS Excel, Google Spreadsheets, Open Refine, Mondrian. Web development was made with Atom editor.
The methods and lessons learned from the project are used regularly in higher education courses on data visualization. Moreover, it inspired recently an exhibition at the Winchester School of Arts, as a curatorial approach to art and data. https://anti-materia.org/a-curatorial-approach-to-dataviz-eng