dataset_viewer: View a dataset in an interactive SAS Studio-style grid

Description

Renders a fast, scrollable data grid with a column-selection panel and per-column property metadata. The same widget renders in interactive Shiny apps and in static HTML documents.

Usage

dataset_viewer(
  x,
  ...,
  view = c("names", "labels"),
  width = NULL,
  height = NULL,
  elementId = NULL
)

Value

An htmlwidget. Print it to render, or use it as a Shiny output.

Arguments

x: Dataset to view. <data.frame | character(1)>. A data frame, or a file path read via artoo::read_dataset() (xpt, Dataset-JSON, NDJSON, 'Parquet', RDS). An artoo-conformed frame supplies labels, formats, and lengths to the property panel; a plain frame uses synthesized metadata.
...: Reserved for future arguments.
view: Initial header mode. <character(1)>. "names" (default, matching SAS Studio) shows column names as headers; "labels" shows labels, falling back to names when a label is absent.
width, height: Widget sizing. <character(1) | numeric(1) | NULL>. Passed through to htmlwidgets::createWidget().
elementId: Explicit DOM id. <character(1) | NULL>. Usually left NULL so htmlwidgets assigns one.

Details

Query engine. The data is sent to the browser once as 'Parquet' and queried in place with DuckDB-WASM, so filter, sort, and paging run over the whole dataset with no row sampling. The engine (~35 MB) loads from a CDN by default but is fetched into the package at install time when reachable, so a Shiny app can serve it to browsers with no internet at runtime. Set options(datasetviewer.use_local_engine = FALSE) to force the CDN (for small self-contained HTML). See vignette("datasetviewer") for offline and corporate deployment, including the DATASETVIEWER_DUCKDB_* install-time environment variables.

Examples

Run this code

# ---- Example 1: view a plain data frame ----
#
# Wrap any data frame to get the interactive grid. Printing the widget in
# an interactive session or a rendered document shows it; here we inspect
# the payload so the example stays headless and self-contained (printing a
# widget would launch a browser under R CMD check).
viewer <- dataset_viewer(mtcars)
viewer$x$n_rows

# ---- Example 2: CDISC labels as headers ----
#
# With the sibling artoo package, a CDISC-conformed frame supplies column
# labels, formats, and storage lengths to the property pane and the
# names-versus-labels header toggle. Start on labels with view = "labels".
if (requireNamespace("artoo", quietly = TRUE)) {
  labelled <- dataset_viewer(artoo::cdisc_adsl, view = "labels")
  labelled$x$columns[[1]]$label
}