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_1.0.0.zip, r-release: dataviewR_1.0.0.zip, r-oldrel: dataviewR_1.0.0.zip
macOS binaries:	r-release (arm64): dataviewR_1.0.0.tgz, r-oldrel (arm64): dataviewR_1.0.0.tgz, r-release (x86_64): dataviewR_1.0.0.tgz, r-oldrel (x86_64): dataviewR_1.0.0.tgz
Old sources:	dataviewR archive

Linking:

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