Visualization of Data Envelopment Analysis Problems R package deaviz version 0.1.0 High-dimensional visualization methods for data envelopment analysis (DEA), gathering in one place techniques that have appeared in the literature but remained scattered and largely unimplemented: cross-efficiency matrix unfolding, the Porembski network with lambda edges, principal component analysis biplots, multidimensional-scaling colour-plots, self-organizing maps, the Costa bi-dimensional efficient frontier, parallel coordinates, radar charts, panel-data trajectory biplots, peer and reference networks, and a set of descriptive plots. The package is built around a single validated dea_data() object and uses the 'Benchmarking' package as its DEA engine. The implemented methods draw on a body of literature; representative references include Doyle and Green (1994) <doi:10.1057/jors.1994.84>, Porembski, Breitenstein and Alpar (2005) <doi:10.1007/s11123-005-1328-5> and Bana e Costa, Soares de Mello and Angulo Meza (2016) <doi:10.1016/j.ejor.2016.05.012>. Software Depends: R (>= 3.6.0) Imports: rlang, stats, utils, grDevices, graphics, ggplot2 (>= 3.4.0) Suggests: Benchmarking, lpSolve, lpSolveAPI, kohonen, smacof, plotly, ggrepel, igraph, graphlayouts, MASS, testthat (>= 3.0.0), knitr, rmarkdown Shahin Ashkiani <Contact@Shahin-Ashkiani.com> Comprehensive R Archive Network (CRAN) Shahin Ashkiani [aut, cre] AGPL (>= 3) 2026-07-02 application/tgz https://CRAN.R-project.org/package=deaviz doi:10.32614/CRAN.package.deaviz en-GB