Information Aesthetics is an emerging sub-field of Data Visualization that aims to engage the viewers and lure them into decode the visualization. The introduction of self-organising systems can aid the creation of these visual representations through the exploration of emergent patterns. In this paper, we apply a swarm based system as a method to create emergent visualizations of data that convey meaningful information in an inciting way, exploring the boundaries between Data Visualization and Information Aesthetics. The approach is used to visually convey the consumption patterns in 729 Portuguese hypermarkets over the course of two years. The analysis of the experimental results focuses on the ability of the emergent visualizations to communicate information while engaging the viewer with organic visuals.
The use of lo-fidelity prototyping, and in particular paper-based sketching, can save time, money and allow us to converge to better solutions. In particular for Information Visualization, sketching designs has been shown to be a useful way of planning and considering alternative solutions. However, managing the ideation process and converging to a suitable solution can be challenging.
There's still time to secure a place at the Data Visualization Summit, which returns to the Westin Copley Place in Boston in just 4 weeks time, on September 25 & 26. This event will bring together the leading data visualization experts for an exploration of the tools, trends and technologies that are shaping the future of this diverse discipline. In addition to keynote presentations, workshops, panels and countless networking opportunities, we've also launched our first Data Visualization Poster Competition. For a chance to showcase your skills, ideas and understanding to an executive led audience of data visualization gurus (and win great prizes), submit a visualization that presents data in a digestible way by Tuesday, September 9. For a sneak-peak of what to expect at the summit, check out a presentation from the Senior Data Scientist at Jawbone, 'Dream a Little Bigger'.
This breakneck pace is a real data visualization constraint. It's not a myth that charts are often deployed in rooms full of people who only have a short time to comprehend them (or not) and make a decision. Automatic views into datasources are a critical aspect of exploratory data analysis and health checks. The fast mode of data visualization is real and important, but when we let it become our only view into what data visualization is, we limit ourselves in planning for how to build, support and design data visualization. We limit not only data visualization creators but also data visualization readers.