  Understanding the major fraud problems in the world and interpreting the data
available for analysis is a current challenge that requires interdisciplinary
knowledge to complement the knowledge of computer professionals. Collaborative
events (called Hackathons, Datathons, Codefests, Hack Days, etc.) have become
relevant in several fields. Examples of fields which are explored in these
events include startup development, open civic innovation, corporate
innovation, and social issues. These events have features that favor knowledge
exchange to solve challenges. In this paper, we present an event format called
Short Datathon, a Hackathon for the development of exploratory data analysis
and visualization skills. Our goal is to evaluate if participating in a Short
Datathon can help participants learn basic data analysis and visualization
concepts. We evaluated the Short Datathon in two case studies, with a total of
20 participants, carried out at the Federal University of Technology -
Paran\'a. In both case studies we addressed the issue of tax evasion using real
world data. We describe, as a result of this work, the qualitative aspects of
the case studies and the perception of the participants obtained through
questionnaires. Participants stated that the event helped them understand more
about data analysis and visualization and that the experience with people from
other areas during the event made data analysis more efficient. Further studies
are necessary to evolve the format of the event and to evaluate its
effectiveness.
