Visualizes Preference Data via Ternary Plots in Two and Higher Dimensions R package prefviz version 0.1.1 Visualises preference and ranking data by extending traditional ternary plots to support high-dimensional simplexes. The package provides methods to transform compositional data into coordinates suitable for 2D and high-dimensional ternary plots (see Cook & Laa (2024) <https://dicook.github.io/mulgar_book/>). Compatibility with interactive visualization packages such as 'plotly' or 'detourr' allows users to explore high-dimensional preference structures dynamically. Software Depends: R (>= 4.1.0) Imports: dplyr, prefio, tibble, tidyr, rlang, ggplot2, tidyselect, geozoo Suggests: knitr, rmarkdown, tourr, kableExtra, ggthemes, testthat (>= 3.0.0) Linh Ngo <linhngo66.work@gmail.com> Comprehensive R Archive Network (CRAN) Linh Ngo [aut, cre], Dianne Cook [aut] (ORCID: <https://orcid.org/0000-0002-3813-7155>), Damjan Vukcevic [aut] (ORCID: <https://orcid.org/0000-0001-7780-9586>) GPL (>= 3) 2026-04-13 application/tgz https://CRAN.R-project.org/package=prefviz doi:10.32614/CRAN.package.prefviz