Graduate School of Natural Sciences at Aarhus University
Data visualization is the science and practice of encoding often large and complex datasets into visual representations to support their analysis and communication. Such a visualization can be worth more than a thousand words, as the saying goes -- but only if done right. Thus, the aim of this course is threefold in:
conveying the theoretical aspects and guidelines of a data visualization that make it a truthful and useful representation of the underlying data;
practicing to create tailored data visualizations that follow these guidelines through a structured ideation process and a deliberate design approach; and
training to critically read data visualizations and to reason about their validity and effectiveness on the basis of the introduced guidelines, and to suggest improvements where necessary.
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