Graphics Reference
In-Depth Information
The intention of this topic has been to focus on offering a handy strategy to help you
work through the many design issues and decisions you're faced with.
Up to now discussions about issues relating to technology and technical capability
have been kept to a minimum in order to elevate the importance of the preparatory
and conceptual stages. You have to work through these challenges regardless of
what tools or skills you have.
However, it is fair to say that to truly master data visualization design, it is inevitable
that you will need to achieve technical literacy across a number of different
applications and environments.
All advanced designers need to be able to rely on a symphony of different tools and
capabilities for gathering data, handling, and analyzing it before presenting, and
launching the visual design. While we may have great concepts and impressively
creative ideas, without the means to convert these into built solutions they will
ultimately remain unrealized. The following example, tracking 61 years of tornado
activity in the US, demonstrates a project that would have involved a great amount
of different analytical and design-based technical skills and would not have been
possible without these:
Image from "Tornado tracks" ( http://uxblog.idvsolutions.com/2012/05/tornado-tracks.html ),
created by John Nelson/IDV Solutions.
In contrast to most of the steps that we have covered this far, the choices we make
when it comes to producing the final data visualization design are more heavily
influenced by capability and access to resources than necessarily the suitability of a
given tool. This is something we covered earlier when identifying the key factors that
shape what may or may not be possible to achieve.
 
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