Typographic variables were only briefly discussed by Bertin with no example applications. We extend Bertin’s framework with literal encoding, ten typographic attributes, variations on scope including characters, words, phrases and paragraphs, and more layout types. We apply the framework to Bertin’s population dataset to create eleven new typographic visualizations. New research opportunities include readability, semantic association, interaction, and comprehension.

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