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Data representation is the act of 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 is outlined in Chapter 6, Data Representation. We need to achieve both the elegance of a design that aesthetically suits our intent and the functional behavior required to fulfill the effective imparting of information. In chapter 6, Kirk meticulously characterizes a galley of charts as Categorical, Hierarchical, Relational, Temporal, or Spatial (CHRTS). You also read an article this week: "Data literacy 101: Which is the best graph to use?". 

Kirk, A. (2019). Data Visualisation: A Handbook for Data Driven Design. Thousand Oaks, CA: Sage Publications, Ltd.

ISBN: 978-1-4739-1214-4

· Read Kirk Chapter 6 - Data Representation

· Read Kirk Chapter 7 - Interactivity

· Read Kirk Chapter 8 - Annotation

· Also read article: "Data literacy 101: Which is the best graph to use?"

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