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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visdat.pdf |visdat.html✨
visdat/json (API)
NEWS

# Install 'visdat' in R:

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

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

Datasets:

dat_bin - A small toy dataset of binary data with missings.
typical_data - A small toy dataset of imaginary people
typical_data_large - A small toy dataset of imaginary people

On CRAN:

exploratory-data-analysis missingness peer-reviewed ropensci visualisation

14 exports 449 stars 7.34 score 47 dependencies 8 dependents 1 mentions 12.2k downloads

Last updated 9 days agofrom:23687c8571 (on master)

Exports:%>%abbreviate_vars data_vis_cor data_vis_dat data_vis_miss vis_binary vis_compare vis_cor vis_dat vis_expect vis_guess vis_histogram vis_miss vis_value

Dependencies:bit bit64 cli clipr colorspace cpp11 crayon dplyr fansi farver forcats generics ggplot2 glue gtable hms isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig prettyunits progress purrr R6 RColorBrewer readr rlang scales stringi stringr tibble tidyr tidyselect tzdb utf8 vctrs viridisLite vroom withr

Customising colour palettes in visdat

Rendered fromcustomising-colour-palettes.Rmdusingknitr::rmarkdownon Jul 18 2024.

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

Using visdat

Nicholas Tierney

Rendered fromusing_visdat.Rmdusingknitr::rmarkdownon Jul 18 2024.

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Abbreviate all variables in a data frame	abbreviate_vars
A small toy dataset of binary data with missings.	dat_bin
Return data used to create vis_cor plot	data-vis-cor data_vis_cor data_vis_cor.data.frame data_vis_cor.default data_vis_cor.grouped_df
Return data used to create vis_dat plot	data-vis-dat data_vis_dat data_vis_dat.data.frame data_vis_dat.default data_vis_dat.grouped_df
Return data used to create vis_miss plot	data-vis-miss data_vis_miss data_vis_miss.data.frame data_vis_miss.default data_vis_miss.grouped_df
A small toy dataset of imaginary people	typical_data
A small toy dataset of imaginary people	typical_data_large
Visualise binary values	vis_binary
Visually compare two dataframes and see where they are different.	vis_compare
Visualise correlations amongst variables in your data as a heatmap	vis_cor
Visualises a data.frame to tell you what it contains.	vis_dat
Visualise whether a value is in a data frame	vis_expect
Visualise type guess in a data.frame	vis_guess
Visualise histogram of numeric columns in a data.frame	vis_histogram
Visualise a data.frame to display missingness.	vis_miss
Visualise the value of data values	vis_value