We use an interactive visual analytics approach to explore the results of a
survey and utilise parallel coordinate plots and small multiples as key
visualization techniques. The scope of the survey is a set of 900 photographs
from 3 origins, which were to be subjectively classified by the participants
in a number of ways. In this poster we describe the interface of the designed
tool and also highlight the findings it allowed us to make. By visualizing
the collected survey data and navigating through it we could estimate the
proportions of different types of photographs, identify qualitative
differences between their sources and correlate the responses with image
metadata. We were also able to support the survey process itself: with
various visual representations of the collected results we could detect
inappropriate behaviour of a number of participants, handle issues related to
unavailability of some photographs and also ensure responses sampled the
image database appropriately.