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datasetviewer 0.1.1

• Initial CRAN release.
• dataset_viewer() renders a SAS Studio-style interactive grid for a data frame, an artoo-conformed frame, or a file path read via artoo::read_dataset(). The data is sent to the browser as Parquet and queried in place with DuckDB-WASM, so filter, sort, and scroll stay fast on large datasets without sampling rows.
• The shell provides a column-selection panel with char/num type icons and a collapse chevron (its list can be sorted by original order, name, or type and filtered by name to navigate wide datasets, without changing the grid column order), a property pane (Label, Name, Length, Type, Format), a names-versus-labels header toggle, and click-a-header to sort (the first click selects the column, then clicks cycle ascending, descending, unsorted) – Shift-click adds columns for a multi-column sort, each shown with its direction and priority. A right-click menu sorts per column (Sort Ascending/Descending add the column to the sort; Clear Sorting removes just that column) and offers per-column filters, copying a column or its header, and size-to-content, alongside a free-text row filter and CSV export of the current view.
• Missing values display as a muted NA in every column (numeric, character, and date), keeping them distinct from a genuine empty string and from the NaN floating-point value, which renders as NaN. They can be filtered with the COL is na / COL is not na free-text predicate or the per-column “(Missing)” option in the Add Filter dialog; the generated dplyr code uses is.na().
• datasetviewerOutput() and renderDatasetViewer() embed the widget in Shiny and publish the current filter, sort, column selection, and view mode as inputs.
• The “Show code” toolbar button emits the runnable, air-formatted dplyr pipeline (filter, arrange, then select, with SQL-to-R translation) that reproduces the current view.
• The DuckDB-WASM engine loads from a CDN by default and is fetched into the package at install time when reachable, so a Shiny app can serve it to browsers with no internet at runtime (offline / corporate deployment). The install-time fetch honours DATASETVIEWER_DUCKDB_DIR, DATASETVIEWER_DUCKDB_URL, DATASETVIEWER_DUCKDB_EXT_URL, and DATASETVIEWER_DUCKDB_OFFLINE; the install never fails if the engine cannot be fetched (it falls back to the CDN at runtime).
• options(datasetviewer.use_local_engine = FALSE) forces the CDN even when the engine is present locally, keeping self-contained HTML documents small.

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.