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 |