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.

See also

Useful links:

• https://github.com/itsmdivakaran/viewR

• https://itsmdivakaran.github.io/viewR/

• Report bugs at https://github.com/itsmdivakaran/viewR/issues

Author

Maintainer: Mahesh Divakaran imaheshdivakaran@gmail.com

Authors:

• Mahesh Divakaran imaheshdivakaran@gmail.com