English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

A visualization notation is a recurring pattern of symbols used to authorspecifications of visualizations, from data transformation to visual mapping.Programmatic notations use symbols defined by grammars or domain-specificlanguages (e.g., ggplot2, dplyr, Vega-Lite) or libraries (e.g., Matplotlib,Pandas). Designers and prospective users of grammars and libraries oftenevaluate visualization notations by inspecting galleries of examples. Whilesuch collections demonstrate usage and expressiveness, their construction andevaluation are usually ad hoc, making comparisons of different notationsdifficult. More rarely, experts analyze notations via usability heuristics,such as the Cognitive Dimensions of Notations framework. These analyses, akinto structured close readings of text, can reveal design deficiencies, but placea burden on the expert to simultaneously consider many facets of often complexsystems. To alleviate these issues, we introduce a metrics-based approach tousability evaluation and comparison of notations in which metrics are computedfor a gallery of examples across a suite of notations. While applicable to anyvisualization domain, we explore the utility of our approach via a case studyconsidering statistical graphics that explores 40 visualizations across 9widely used notations. We facilitate the computation of appropriate metrics andanalysis via a new tool called NotaScope. We gathered feedback via interviewswith authors or maintainers of prominent charting libraries (n=6). We find thatthis approach is a promising way to formalize, externalize, and extendevaluations and comparisons of visualization notations.

Metrics-Based Evaluation and Comparison of Visualization Notations