https://shiny.posit.co/> and 'DT' <https://rstudio.github.io/DT/>. It supports complex filtering, column selection, and automatic generation of reproducible 'dplyr' <https://dplyr.tidyverse.org/> code for data manipulation. The package is designed for ease of use in data exploration and reporting workflows.">

dataviewR: An Interactive and Feature-Rich Data Viewer (original) (raw)

Provides an interactive viewer for 'data.frame' and 'tibble' objects using 'shiny' <https://shiny.posit.co/> and 'DT' <https://rstudio.github.io/DT/>. It supports complex filtering, column selection, and automatic generation of reproducible 'dplyr' <https://dplyr.tidyverse.org/> code for data manipulation. The package is designed for ease of use in data exploration and reporting workflows.

Version: 0.1.1
Depends: R (≥ 4.2.0)
Imports: shiny, shinyjs, DT, dplyr, labelled, forcats, stringr, purrr, tibble, datamods, htmlwidgets
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), shinytest2
Published: 2025-07-21
DOI: 10.32614/CRAN.package.dataviewR
Author: Madhan Kumar N [aut, cre]
Maintainer: Madhan Kumar N
BugReports: https://github.com/madhankumarnagaraji/dataviewR/issues
License: MIT + file
URL: https://github.com/madhankumarnagaraji/dataviewR
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: dataviewR results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=dataviewRto link to this page.