Discuss the importance and advantages of using these techniques. Provide an example of each technique.
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.
Sample Solution
Three important storytelling techniques for data representation are narrative visualization, small multiples, and interactive visualization.
Narrative visualization is an important technique that involves the use of storytelling to communicate complex data. It allows us to create a compelling narrative around data and helps to contextualize the data in a meaningful way. This technique is useful when the data is complex or when the message is difficult to convey through traditional data visualization methods. An example of narrative visualization is The New York Times’ “Snow Fall” article, which used a narrative format to present information about an avalanche that occurred in the United States…order customized answer
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