dataviewR: An Interactive and Feature-Rich Data Viewer

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: 1.0.0
Depends: R (≥ 4.2.0)
Imports: shiny, shinyjs, DT, dplyr, labelled, forcats, stringr, purrr, tibble, datamods, htmlwidgets, callr, rstudioapi
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), shinytest2
Published: 2026-01-10
DOI: 10.32614/CRAN.package.dataviewR
Author: Madhan Kumar N [aut, cre], Siddhesh Pujari [aut], Gomathi S [aut], Mackenzie Haight [aut]
Maintainer: Madhan Kumar N <madhanmanoj1999 at gmail.com>
BugReports: https://github.com/madhankumarnagaraji/dataviewR/issues
License: MIT + file LICENSE
URL: https://github.com/madhankumarnagaraji/dataviewR, https://madhankumarnagaraji.github.io/dataviewR/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: dataviewR results

Documentation:

Reference manual: dataviewR.html , dataviewR.pdf
Vignettes: Exporting data and Wrapping Up the Session (source, R code)
Using Filter and Expressions (source)
Introduction to dataviewR (source, R code)
Exploring Multiple Datasets (source)
Working with Clinical Datasets (source)

Downloads:

Package source: dataviewR_1.0.0.tar.gz
Windows binaries: r-devel: dataviewR_0.1.1.zip, r-release: dataviewR_0.1.1.zip, r-oldrel: dataviewR_0.1.1.zip
macOS binaries: r-release (arm64): dataviewR_1.0.0.tgz, r-oldrel (arm64): dataviewR_1.0.0.tgz, r-release (x86_64): dataviewR_0.1.1.tgz, r-oldrel (x86_64): dataviewR_0.1.1.tgz
Old sources: dataviewR archive

Linking:

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