Graphics Reference
In-Depth Information
That said, it is fair to say that in order to create a truly exploratory experience,
interactivity does introduce the potential for so much extra functionality to help
immerse the user into a dynamic, problem-solving challenge.
Features such as filtering, sorting, brushing (selecting or isolating certain data
values), variable adjustment, and view modification are just some of the important
ways you can help a user investigate data. We'll discuss more about interactivity in
Chapter 4 , Preparing and Familiarizing with Data .
It is also worth highlighting that while explanatory visualization is primarily created
for others, exploratory data and the process of visual analysis can be as much for
your own discovery purpose as it is for others. It is clearly a particularly relevant
function for scientists, for example, to find patterns and unearth key findings in
research work before the publication of results (which would then require the use
of explanatory-based visual evidence).
When the function is to exhibit data
The final classification of intended function is in some respects a controversial one,
because including the exhibiting of data as an intended function of visualization
will not be consistent with many people's definition of data visualization.
We're not talking controversy on the level of a political scandal. Let's put it into
some perspective: within the context of this field, this is a big deal and the cause
of so much debate.
As with any attempt at classification, there is a spectrum of variety within and
so clear boundaries are difficult to establish and very much open to personal
interpretation.
We are talking here about designs that use data as the raw material, but where
the intention is perhaps somewhat removed from a pure desire to inform. Rather,
the objective is closer to a form of exhibition or self-expression through data
representation. This genre of work embodies the term "data art".
Data art is characterized by a lack of structured narrative and absence of any visual
analysis capability. Instead, the motivation is much more about creating an artifact,
an aesthetic representation or perhaps a technical/technique demonstration. At the
extreme end, a design may be more guided by the idea of fun or playfulness or maybe
the creation of ornamentation.
This particular strand of data visualization is contentious simply because it challenges
those seeking to identify the boundaries of this field and its proximity to other
disciplines such as graphic design, generative design, or creative art.
 
Search WWH ::




Custom Search