Oldal 77 [77]
76 | Digital Media and Storytelling in Higher Education
recipient with the capability to specify the variables which are shown on
the graph. One such responsive visual is the US gun homicide interface
(see above), where the recipient can make a comparative analysis using
variables such as gender, age, ethnicity, region, type of weapon, and the
relationship between murderers and victims. Similar interactive interfaces
have also appeared during the COVID-19 pandemic. The WHO's coronavirus
information interface features a classic sequential dashboard layout, but the
visualization of relevant trends is responsive: users can access additional
information by selecting charts and maps, and can activate filters by moving
their mouse.* Similar interactive visualizations are available from the Danish
public media, with data updated daily.” A further example of interactive DDS
is NASAs visualization of a time machine showing the parameters ofthe Earth”
which allows the viewer to create a narrative that is relevant to their own.”
Explanatory visualizations, which do not support interactivity, pre-interpret
data from a particular perspective, focusing on certain aspects ofthe data to
create a relationship and narrative sequence between them. Visualizations
that include exploratory aspects, on the other hand, give recipients flexibility
by allowing them to choose the perspective and the order in which to view
the data. This flexibility can help readers find their own meaning in the
visualization (Thudt et al., 2018).
Presenting data using a narrative framework is a complex undertaking.
Chevalier et al. (2018) reconstructed the process of DDS based on semi¬
structured interviews with nine professionals, including researchers, graphic
designers, and journalists. They found that DDS is a serious collaborative task
that requires a range of skills, such as application knowledge and collaborative
skills. As in all research, the work starts with data collection, cleaning,
and interpretation. The creative team needs to find relevant results and
connections in the data set in order to develop the right approach through
which to explore the relationships in the data. The right visualization also
requires the research team to experiment with different visualization types
and place them in context. The data team and the storytelling team need to
work in close collaboration to achieve an impactful final result (Figure 6).
% https://covidi9.who.int/
36 https://www.dr.dk/nyheder/indland/status-paa-coronavirus-lige-nu
7 https://climate.nasa.gov/interactives/climate-time-machine
38 https://climate.nasa.gov/earth-now/#/