Sarah’s academic and professional experience has long entailed a dual interest in the arts and life sciences, especially the creativity and rigour required to solve novel interdisciplinary research problems. Her interest in computational data visualization stems from an appreciation of its potential to augment and refine humanities research methods, particularly quantitative text analysis and narratology within the field of literary studies. Sarah’s prior work as a pharmacy technician, archival researcher, writer, and editor required her to become an experienced user and critic of data analysis resources, ones which she now looks forward to producing for use across sectors throughout business, government, and public health.
A couple of weeks ago we spent some time exploring data visualization best practices - e.g., some of the basic principles of human visual perception, when to use different chart types, use of colour and highlight, etc. A good visualization can help us identify...