Visualization without guesswork

Seemingly harmless choices in visualization design and content selection can distort your data and lead to false conclusions. Aneesh Karve presents a quantitative framework for identifying and overcoming distortions by applying recent research in algebraic visualization.

Seemingly harmless choices in visualization design and content selection can distort your data and lead to false conclusions. Designers have traditionally relied on esthetics and heuristics to guide their work. Is there a more objective method for creating visualizations that are perceptually accurate? Aneesh Karve presents a quantitative framework for identifying and overcoming distortions by applying recent research in algebraic visualization.