Package: dataviewR 1.1.0

dataviewR: An Interactive and Feature-Rich Data Viewer

Provides an interactive viewer for 'data.frame', 'tibble' and 'data.table' 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.

Authors:Madhan Kumar N [aut, cre], Siddhesh Pujari [aut], Gomathi S [aut], Mackenzie Haight [aut]

dataviewR_1.1.0.tar.gz
dataviewR_1.1.0.zip(r-4.7)dataviewR_1.1.0.zip(r-4.6)dataviewR_1.1.0.zip(r-4.5)
dataviewR_1.1.0.tgz(r-4.6-any)dataviewR_1.1.0.tgz(r-4.5-any)
dataviewR_1.1.0.tar.gz(r-4.7-any)dataviewR_1.1.0.tar.gz(r-4.6-any)
dataviewR_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dataviewR/json (API)

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

Bug tracker:https://github.com/madhankumarnagaraji/dataviewr/issues

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

On CRAN:

Conda:

7.30 score 18 stars 16 scripts 653 downloads 4 exports 96 dependencies

Last updated from:5f1f4a1e96. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK169
source / vignettesOK219
linux-release-x86_64OK175
macos-release-arm64OK238
macos-oldrel-arm64OK155
windows-develOK107
windows-releaseOK126
windows-oldrelOK98
wasm-releaseOK178

Exports:dataviewerlist_dataviewersstop_all_dataviewersstop_dataviewer

Dependencies:base64encbitbit64bslibcachemcallrcellrangerclassclassIntclicliprcommonmarkcpp11crayoncrosstalkcurldata.tabledatamodsdigestdplyrDTe1071evaluatefastmapfontawesomeforcatsforeignfsgenericsgluehavenhighrhmshtmltoolshtmlwidgetshttpuvjquerylibjsonliteKernSmoothknitrlabelledlaterlazyevallifecyclemagrittrMASSmemoisemimeotelphosphoriconspillarpkgconfigprettyunitsprocessxprogresspromisesproxypspurrrR.methodsS3R.ooR.utilsR6rappdirsRcppreactablereactRreadrreadxlrematchriorlangrmarkdownrstudioapisassshinyshinybusyshinyjsshinyWidgetssourcetoolsstringistringrtibbletidyrtidyselecttinytextoastuitzdbutf8vctrsvroomwithrwritexlxfunxtableyaml

Introduction to dataviewR
Introduction | Why dataviewR? | Launching dataviewR | 1️⃣ Launch with a dataset | 2️⃣ Launch with multiple datasets (side-by-side viewing) | 3️⃣ Launch without data (use the Import Panel) | What Happens Inside the App? | Typical Workflow Example | Next Steps | Feedback
Rendered fromIntroduction-to-dataviewR.Rmdusingknitr::rmarkdown

Last update: 2026-04-06
Started: 2025-12-29

Using Filter and Expressions
Filtering & Expressions in dataviewR | 1. Launch dataviewR with a dataset | 2. Filtering with Expressions | 3. Re-running, clearing, or updating filters | 4. How filtering affects the generated R code | 5. Tips for Writing Expressions | 6. Note on Quick Filter and Quick Search | Summary | Next Article
Rendered fromFiltering-Expressions.Rmdusingknitr::rmarkdown

Last update: 2026-04-05
Started: 2025-12-29

Working with Clinical Datasets
1. Loading Clinical data | 2. Loading data and filtering data of our interest | 3. Investigating missing values | 4. Exploring metadata - vital step in clinical data | Next article
Rendered fromadam-clinical-dataset.Rmdusingknitr::rmarkdown

Last update: 2026-04-05
Started: 2025-12-29

Exploring Multiple Datasets
Working with Multiple Datasets in dataviewR | 1. Launching dataviewR with multiple datasets | 2. Navigating between dataset tabs | 3. Applying filters and selections independently | 4. Independent code generation | 5. Typical use cases | ✓ Raw vs Derived Data | ✓ SDTM Dataset Review | ✓ ADaM Dataset Review | ✓ Comparing train/test sets | ✓ Reviewing multiple simulation outputs | Summary | Next Article
Rendered fromMultiple-Datasets.Rmdusingknitr::rmarkdown

Last update: 2025-12-29
Started: 2025-12-29

Exporting data and Wrapping Up the Session
1. Exporting & reproducing the data to work further | 2. To know the session information | 3. To stop dataviewR session(s)
Rendered fromExporting-and-Reproducibility.Rmdusingknitr::rmarkdown

Last update: 2025-12-29
Started: 2025-12-29