Data representation is the act displaying the visual form of your data. The process of identifying the most effective and appropriate solution for representing our data is unquestionably the most important feature of our visualization design. Working on this layer involves making decisions that cut across the artistic and scientific foundations of the field.
Here we find ourselves face-to-face with the demands of achieving that ideal harmony of form and function that was outlined in Chapter 6 , Data Representation. We need to achieve the elegance of a design that aesthetically suits our intent and the functional behavior required to fulfill the effective imparting of information.
According to Kirk 2016, in order to dissect the importance
of data representation, we are going to "look at it from
both theoretical and pragmatic perspectives." Choose three of the
storytelling techniques (Pages 161 - 209) in which data is
presented and stories are being interpreted. Discuss the importance
and advantages of using these techniques. Provide an example of
each technique.
Reference
Kirk, A. (2016). Data Visualisation: A Handbook for Data-Driven Design. Thousand Oaks, CA: Sage Publications, Ltd.
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