Package: visdat 0.6.1.9000

visdat: Preliminary Visualisation of Data

Create preliminary exploratory data visualisations of an entire dataset to identify problems or unexpected features using 'ggplot2'.

Authors:Nicholas Tierney [aut, cre], Sean Hughes [rev], Mara Averick [rev], Stuart Lee [ctb], Earo Wang [ctb], Nic Crane [ctb], Christophe Regouby [ctb], Jordi Rosell [ctb]

visdat_0.6.1.9000.tar.gz
visdat_0.6.1.9000.zip(r-4.7-any)visdat_0.6.1.9000.zip(r-4.6-any)visdat_0.6.1.9000.zip(r-4.5-any)
visdat_0.6.1.9000.tgz(r-4.6-any)visdat_0.6.1.9000.tgz(r-4.5-any)
visdat_0.6.1.9000.tar.gz(r-4.7-any)visdat_0.6.1.9000.tar.gz(r-4.6-any)
visdat_0.6.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
visdat/json (API)

# Install 'visdat' in R:
install.packages('visdat', repos = c('https://njtierney.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ropensci/visdat/issues

Pkgdown/docs site:https://docs.ropensci.org

Datasets:

On CRAN:

Conda:

exploratory-data-analysismissingnesspeer-reviewedropenscivisualisation

13.65 score 463 stars 13 packages 3.0k scripts 18k downloads 1 mentions 13 exports 40 dependencies

Last updated from:9b3006a52a. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK153
source / vignettesOK237
linux-releaseOK173
macos-releaseOK100
macos-oldrelOK78
windows-develOK98
windows-releaseOK93
windows-oldrelOK85
wasm-releaseOK122

Exports:abbreviate_varsdata_vis_cordata_vis_datdata_vis_missvis_binaryvis_comparevis_corvis_datvis_expectvis_guessvis_histogramvis_missvis_value

Dependencies:bitbit64clicliprcpp11crayondplyrfarverforcatsgenericsggplot2gluegtablehmsisobandlabelinglifecyclemagrittrpillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerreadrrlangS7scalesstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr

Using visdat
vis_dat | vis_miss | vis_compare | vis_expect | vis_cor | vis_value | vis_binary | vis_guess | vis_histogram() | Interactivity | Future work
Rendered fromusing_visdat.Rmdusingknitr::rmarkdown

Last update: 2026-09-26
Started: 2016-08-17

Customising colour palettes in visdat
How to provide your own colour palette?
Rendered fromcustomising-colour-palettes.Rmdusingknitr::rmarkdown

Last update: 2023-02-02
Started: 2021-07-05