Using the dataset of the enrolees of the Harvard Visualization course (http://cs171.org), various data encoding methods (spatial, hue-based, luminosity-based, and position) were used to unearth patterns between various demographic parameters (e.g. gender and age) to background and preference data (e.g. preferred programming languages). The visual study yielded some very interesting findings, including a pattern of female preference for web markup technologies such HTML/CSS over traditional programming languages such as Java.
The visualization included an interactive dashboard with realtime data filtering options.