The Grammar of Graphics

By Mark Bailey. 2007

796 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Mechanical Engineering

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Citations in the corpus

Scientific Benchmarks for Guiding Macromolecular Energy Function Improvement (2013, methodology): “Once a collection of feature distributions have been estimated, they can be visualized through the grammar of graphics method (Wilkinson, 1999; Wickham, 2010).”
ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data (2017, methodology): “GGTREE is built with the merits of GGPLOT 2 (Wickham 2009) that was based on the grammar of graphics (Wilkinson 2005).”
ggbio: an R package for extending the grammar of graphics for genomic data (2012, methodology): “Wilkinson makes a distinction between empirical data, abstract data and metadata [14].”
A Multi-Level Typology of Abstract Visualization Tasks (2013, methodology): “→ select select [23, 42, 50, 56, 72, 75, 82]*, brush [19, 29, 50]*[13, 76, 80], distinguish [78, 83]*, emphasize [83]*, differentiate [50]*,”
Visualizations with statistical details: The 'ggstatsplot' approach (2021, methodology): “All visualizations are constructed using the grammar of graphics framework (Wilkinson, 2012), as implemented in the ggplot2 package (Wickham, 2016).”
Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations (2016, positive): “Vega-lite is modeled after existing tools and grammars such as Tableau's VizQL [35], ggplot2 [44], and Wilkinson's Grammar of Graphics [45].”
Arrows in Comprehending and Producing Mechanical Diagrams (2006, neutral): “... effective diagrams has been a concern of graphic designers (e.g., Horn, 1998; Mijksenaar & Westentorp, 1999; Tufte, 1983, 1990, 1997), cognitive scientists (e.g., Carswell & Wickens, 1990; Kieras & Bovair, 1984; Kosslyn, 1994; Larkin & Simon, 1987; Narayanan & Hegarty, 1998; Novick, 2001; Pinker”
phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data (2013, methodology): “The ggplot2 package is an implementation of Wilkinson’s The Grammar of Graphics , which provides an object-oriented description of analytical graphics that emphasizes the separation of data and its mapping to aesthetic attributes [58].”
Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco (2018, methodology): “The language is inspired by other high-level visualization languages such as Wilkinson’s Grammar of Graphics [64], Wickham’s ggplot2 [63], and the VizQL formalism underlying Tableau.”
Graph-theoretic scagnostics (2005, methodology): “Figure 6 shows a scagnostics SPLOM of 17 variables from a dataset based on statistics for selected countries compiled by the World Health Organization and the United Nations [43].”
Visualizing time-oriented data - A systematic view (2007, background): “However, we do not want to overemphasize data aspects, but refer the interested reader to Shneiderman’s ‘‘Task by Data Type Taxonomy’’ [28] and Wilkinson’s ‘‘The Grammar of Graphics’’ [33], which are widely accepted references already available in literature.”
Statistical inference for exploratory data analysis and model diagnostics (2009, methodology): “The practice was implemented in an early visualization system, Dataviewer, and described in Buja et al. (1988; in the ‘Informal Statistical Inference’ section), some of which was revisited in the XGobi system (Swayne et al. 1992; Buja et al. 1996, 1999).”
ggmap: Spatial Visualization with ggplot2 (2013, background): “The layered grammar of graphics One advantage of making the plots with ggplot2 is the layered grammar of graphics on which ggplot2 is based (Wickham, 2010; Wilkinson, 2005).”
Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines (2010, background): “Bivariate boxplots [79] and their simpliﬁcation, bagplots [62], are statistical versions of this technique where concentric hulls are constructed to contain quartiles of the data.”
Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments (2020, positive): “The ggplot2 package in R, based on the “The Grammar of Graphics,” allows users to create detailed graphics and was used to create the templates found in robvis.(22,23) As a result, both robvis functions return a ggplot object, meaning they can be easily customized further using the ggplot2 framework”
Mental Models, Visual Reasoning and Interaction in Information Visualization: A Top-down Perspective (2010, neutral): “[8, 28, 60, 65, 66]).”