Package: visdat 0.6.0.9000

Nicholas Tierney

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]

visdat_0.6.0.9000.tar.gz
visdat_0.6.0.9000.zip(r-4.7)visdat_0.6.0.9000.zip(r-4.6)visdat_0.6.0.9000.zip(r-4.5)
visdat_0.6.0.9000.tgz(r-4.6-any)visdat_0.6.0.9000.tgz(r-4.5-any)
visdat_0.6.0.9000.tar.gz(r-4.7-any)visdat_0.6.0.9000.tar.gz(r-4.6-any)
visdat_0.6.0.9000.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://ropensci.r-universe.dev', 'https://cloud.r-project.org'))

Reviews:rOpenSci Software Review #87

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

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

Datasets:

On CRAN:

Conda:

exploratory-data-analysismissingnesspeer-reviewedropenscivisualisation

13.21 score 462 stars 12 packages 3.0k scripts 21k downloads 1 mentions 14 exports 40 dependencies

Last updated from:ac737151e2 (on master). Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK140
pkgdown docsOK168
source / vignettesOK208
linux-release-x86_64OK170
macos-release-arm64OK104
macos-oldrel-arm64OK156
windows-develOK124
windows-releaseOK100
windows-oldrelOK105
wasm-releaseOK152

Exports:%>%abbreviate_varsdata_vis_cordata_vis_datdata_vis_missvis_binaryvis_comparevis_corvis_datvis_expectvis_guessvis_histogramvis_missvis_value

Dependencies:bitbit64clicliprcpp11crayondplyrfarverforcatsgenericsggplot2gluegtablehmsisobandlabelinglifecyclemagrittrpillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerreadrrlangS7scalesstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr

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

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

Last update: 2021-07-05
Started: 2016-08-17