Package: ViewR 2.0.0

Mahesh Divakaran

ViewR: Advanced Interactive Data Tables and Data Explorer

An advanced, interactive data table and data explorer for R, delivered as a modern, self-contained 'htmlwidget' with a high-performance virtualized grid. ViewR renders 'Kaggle'-style micro-dashboard column headers complete with data-type badges, mini distribution spark-histograms, and data-completeness (missingness) bars. It provides hover metadata cards, a sliding Data Insights drawer with interactive histograms and 'Pareto' category charts, a multi-condition visual query builder (AND/OR), a column visibility picker, and a reproducible code generator that emits 'dplyr', base R, and 'SQL' that matches the active filter and column state. The interface is implemented entirely in dependency-free vanilla 'JavaScript' (no 'React' or build toolchain) and works in the 'RStudio'/'Positron' Viewer, inside 'Shiny' apps, in 'R Markdown'/'Quarto', or as a portable standalone 'HTML' file. A single call to viewr() opens the explorer; the legacy 'Shiny'-gadget ViewR() editor remains available.

Authors:Mahesh Divakaran [aut, cre]

ViewR_2.0.0.tar.gz
ViewR_2.0.0.zip(r-4.7)ViewR_2.0.0.zip(r-4.6)ViewR_2.0.0.zip(r-4.5)
ViewR_2.0.0.tgz(r-4.6-any)ViewR_2.0.0.tgz(r-4.5-any)
ViewR_2.0.0.tar.gz(r-4.7-any)ViewR_2.0.0.tar.gz(r-4.6-any)
ViewR_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ViewR/json (API)

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

Bug tracker:https://github.com/itsmdivakaran/viewr/issues

Pkgdown/docs site:https://itsmdivakaran.github.io

On CRAN:

Conda:

data-analysisdata-science

4.78 score 3 stars 10 scripts 456 downloads 7 exports 44 dependencies

Last updated from:11de8b48f1. Checks:4 OK, 5 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK139
source / vignettesOK200
linux-release-x86_64ERROR138
macos-release-arm64ERROR112
macos-oldrel-arm64ERROR76
windows-develOK99
windows-releaseERROR88
windows-oldrelERROR79
wasm-releaseOK150

Exports:install_viewr_depsrenderViewdtsave_viewdtviewdtviewdt_optionsviewdtOutputViewR

Dependencies:base64encbslibcachemclicommonmarkcrosstalkdigestDTevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetshttpuvjquerylibjsonliteknitrlaterlazyevallifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRcpprhandsontablerlangrmarkdownsassshinyshinyjsshinythemessourcetoolstinytexwithrxfunxtableyaml

Get started with viewdt()
Quick start | Themes, labels, and hidden columns | Working with labelled (clinical) data | Turning features on and off | What the column headers show | The visual query builder | Reproducible code | Exporting a standalone report | Using viewdt() inside Shiny
Rendered fromviewdt.Rmdusingknitr::rmarkdown

Last update: 2026-06-03
Started: 2026-06-03

Getting Started with ViewR
Overview | Installation | The ViewR() function | Walkthrough of the interface | Sidebar | Filters | Sort | Columns | Main tabs | Data | Edit (requires edit = TRUE) | Find & Replace | Variable Info | R Code | Variable labels | Themes | Opening in the browser or Viewer pane | Editing data and returning results | Full example: survey data workflow | Session info
Rendered fromViewR-intro.Rmdusingknitr::rmarkdown

Last update: 2026-06-03
Started: 2026-04-29