Create preliminary exploratory data visualisations of an entire dataset to identify problems or unexpected features using 'ggplot2'.
Version: 0.6.0 Depends: R (≥ 3.2.2) Imports: ggplot2, tidyr, dplyr, purrr, readr, magrittr, stats, tibble, glue, forcats, cli, scales Suggests: testthat (≥ 3.0.0), plotly (≥ 4.5.6), knitr, rmarkdown, vdiffr, spelling, covr, stringr Published: 2023-02-02 DOI: 10.32614/CRAN.package.visdat Author: Nicholas Tierney [aut, cre], Sean Hughes [rev] (Sean Hughes reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/87), Mara Averick [rev] (Mara Averick reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/87), Stuart Lee [ctb], Earo Wang [ctb], Nic Crane [ctb], Christophe Regouby [ctb] Maintainer: Nicholas Tierney <nicholas.tierney at gmail.com> BugReports: https://github.com/ropensci/visdat/issues License: MIT + file LICENSE URL: https://docs.ropensci.org/visdat/, https://github.com/ropensci/visdat NeedsCompilation: no Language: en-US Citation: visdat citation info Materials: README NEWS CRAN checks: visdat results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=visdat to link to this page.
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