For each story we consider and pursue a topic we believe may be of particular interest to explore, ranging from current affairs to historical or cultural issues. Sometimes choices are driven by a fascination we have, sometimes by a compelling dataset we find and we would start from, other times we choose to present events and topics that are hot at the moment. We then analyze and compare different kinds of datasets trying to identify and reveal a central story, hopefully a not-so-expected one.

We start from a question or an intuition we have and work from here, then try to put the information in context and find some further facts and materials to potentially correlate. Every time we aim at moving away from mere quantity in order to pursue a qualitative transformation of raw statistical material into something that will provide new knowledge: unexpected parallels, not common correlation or secondary tales, to enrich the main story with.

In this respect our work here cannot be considered data-visualization in the pure sense: we are not just providing insight into numbers but into social issues or other qualitative aspects as well.