Complex data visualization design projects often entail collaboration between people with different visualization-related skills. For example, many teams include both designers who create new visualization designs and developers who implement the resulting visualization software.

We present a visual analytics tool for collaboratively exploring data from patient administrative systems on large touch displays in meeting contexts. Large touch displays are becoming commercially available, but we have limited knowledge about how they might be used in such a context. We investigated this with our system, PatientAdministrativeDataExplorer (PADE).

We present a visualization that makes use of a novel highlighting and animation technique. The primary motivation behind the design of this visualization was to enable people to look at data about healthcare services, and specifically to increase their knowledge about the impact of the amount of healthcare workers per capita.

We present our preliminary results of an international survey on the practical adoption and use of the International Classification of Diseases (ICD) from a visualization and visual analytics perspective. The ICD system, in different versions, is globally used for coding morbidity and mortality statistics, however, coding practices vary across countries.

We present Biomole, an interactive visualization designed to explore a data set created to support bio-inspiration design published by the Ask Nature organization. The Ask Nature data set contains a hierarchy of functions which we encode within different visual elements of Biomole; most importantly interactive data painting of functions allows people to search for functional co-occurrence.

In creating visualization for the general public, we have concerns relating to visual representations and data provenance, trust, and truth. We briefly outline the context of our work, describe our concerns and their relation to philosophy.

In this position paper, we discuss our prior and current work on data science work practices and how these might be supported by ubiquitous analytics tools. We argue collaborative tools might reduce risks of false conclusions based on ill-conceived understandings of data sets.

Visualization systems with multiple views are often used to represent data from different perspectives. There are many advantages in doing so, such as providing a way for users to understand a dataset by revealing its various attributes in separate views and offering additional information that could be more useful than if it was just one graph.