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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 by rhandsontable, 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): live dplyr pipeline 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. from haven::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 explicit switch() 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.Rmd introduction vignette.
• Added _pkgdown.yml for the package website.
• Hex sticker added to inst/sticker/.

ViewR 0.1.0

• Initial release: basic ViewR() stub.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.