Create preliminary exploratory data visualisations of an entire
dataset to identify problems or unexpected features using 'ggplot2'.
Version: |
0.5.3 |
Depends: |
R (≥ 3.2.2) |
Imports: |
ggplot2, tidyr, dplyr, purrr, readr, magrittr, stats, tibble, glue |
Suggests: |
testthat, plotly (≥ 4.5.6), knitr, rmarkdown, vdiffr, gdtools, spelling |
Published: |
2019-02-15 |
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] |
Maintainer: |
Nicholas Tierney <nicholas.tierney at gmail.com> |
BugReports: |
https://github.com/ropensci/visdat/issues |
License: |
MIT + file LICENSE |
URL: |
http://visdat.njtierney.com/, https://github.com/ropensci/visdat |
NeedsCompilation: |
no |
Language: |
en-US |
Citation: |
visdat citation info |
Materials: |
README NEWS |
CRAN checks: |
visdat results |