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]

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NEWS

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

Peer review:

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

Datasets:

On CRAN:

exploratory-data-analysismissingnesspeer-reviewedropenscivisualisation

14 exports 448 stars 7.32 score 47 dependencies 8 dependents 14.7k downloads

Last updated 1 years agofrom:e791c89730204660b90397adcd10d53a0da2df39 (via master)

Exports:%>%abbreviate_varsdata_vis_cordata_vis_datdata_vis_missvis_binaryvis_comparevis_corvis_datvis_expectvis_guessvis_histogramvis_missvis_value

Dependencies:bitbit64clicliprcolorspacecpp11crayondplyrfansifarverforcatsgenericsggplot2gluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerreadrrlangscalesstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr

Customising colour palettes in visdat

Rendered fromcustomising-colour-palettes.Rmdusingknitr::rmarkdownon Jun 13 2024.

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

Using visdat

Rendered fromusing_visdat.Rmdusingknitr::rmarkdownon Jun 13 2024.

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