In the field of astronomy, large amounts of data are used to generate analytical and functional
visualizations, aimed at the rational and efficient understanding of their characteristics. In
contrast to this purely analytical approach, "Confusion Boundary: Exodata" is a project that
seeks to produce an aesthetic and visual experience based on exploring the visual translation
modes of graphical representations of astronomical data. Under this approach, the work takes
data obtained from exoplanets - planets belonging to other solar systems - which indicate
various observed characteristics: mass, distance, weight, rotation, inclination, translation,
trajectory, among others. Through programming in Python and subsequent processing in Processing,
they are translated to explore their visualization through different representation modes. In
this way, dynamic images are presented whose optical and geometric compositions, based on color
and shape games, shift the analytical function of these graphics to bring them closer from their
sensitive quality to the viewer.
In a context characterized by the dissolution of the subject in the face of the massiveness,
speed, and abstraction of data, the project proposes to question the truth status of the
graphical representations of data used in the scientific field, which assume a direct and unique
relationship between these and their representation. An arbitrary relationship, which is
suspended when showing the new obtained images.