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 + fileLICENSE |
| 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 |