ViewR 2.0.0
Major new architecture: the viewdt() data explorer widget
ViewR 2.0.0 introduces an entirely new, dependency-free htmlwidget data explorer built from scratch in vanilla JavaScript (no React, no build toolchain). It is portable: render it in the RStudio/Positron Viewer, inside Shiny, in R Markdown / Quarto, or export it to a standalone HTML file.
-
viewdt(data, options = viewdt_options())— opens the modern explorer. -
viewdt_options()— configure theme, labels, hidden columns, NA string, visual features, and the viewer-cap safeguard. -
save_viewdt()— export any data frame to a portable, offline HTML grid.
Explorer features
- Virtualized grid that paints only visible cells, with sticky headers and a sticky row-index column; click a row to pin it.
- Kaggle-style micro-dashboard headers: data-type badges, mini distribution spark-histograms (numeric) / top-category stacked bars (categorical), and a colour-coded data-completeness (missingness) bar.
- Column metadata cards on the info icon: rows, unique, missing %, and Min/Mean/Median/Max or Top-5 categories.
- Data Insights drawer with an interactive SVG histogram (numeric) or Pareto bar chart (categorical), completeness meter, and descriptive stats.
- Visual query builder: multi-condition AND/OR filters with type-aware operators and a searchable multi-select for categorical columns.
- Column visibility picker and global search.
- Reproducible code generator: copy-pasteable dplyr, base R, and SQL matching the active filter + visible-column state.
- Light / dark / auto theme, variable-label display, and custom NA string.
The legacy Shiny-gadget editor remains available as ViewR().
ViewR 0.2.0
New features
Excel-like editor (
edit = TRUE): powered byrhandsontable, supports inline cell editing, row addition via right-click context menu or the Add Row button, and unlimited undo / redo.Find & Replace tab: search for a literal string, regex pattern, or exact cell value across one or all columns. A live Preview diff table shows matched cells before changes are committed.
Variable Info tab: one-row-per-column summary of data type, N, missing count, missing %, unique count, min, max, and sample values.
R Code tab (
generate_code = TRUE): livedplyrpipeline that reflects all current filters, sorts, column selections, and find-and-replace operations. Copy to clipboard button included.Multi-condition Filters with AND / OR logic and eleven operators:
==,!=,>,>=,<,<=, contains, starts with, ends with, is NA, is not NA.Multi-column Sort: add as many ordered sort levels as needed, each independently ascending or descending.
Column visibility panel: show / hide any column; bulk All / None toggles.
Variable labels: automatically read from column
"label"attributes (e.g. fromhaven::read_spss()); displayed as hoverable tooltips on column headers in the Data View table.Twelve Bootstrap themes via
shinythemes:"flatly","cerulean","cosmo","darkly","lumen","paper","readable","sandstone","simplex","spacelab","united","yeti".install_viewr_deps(): helper to detect and install all required packages in one call.Pipe-friendly:
ViewR()accepts piped input and returns the working data frame invisibly when the user clicks Done.
Bug fixes
- Type coercion after find-and-replace no longer depends on
methods::as(); replaced with an explicitswitch()over the original column class.
Internal changes
- Separated UI, server, helpers, and code-generation concerns into dedicated source files (
R/ui.R,R/server.R,R/helpers.R,R/code_gen.R). - Full
testthat(edition 3) test suite covering filter engine, sort engine, find-and-replace, variable info, and code generation. - Added
vignettes/ViewR-intro.Rmdintroduction vignette. - Added
_pkgdown.ymlfor the package website. - Hex sticker added to
inst/sticker/.
ViewR 0.1.0
- Initial release: basic
ViewR()stub.
