Opens a high-performance, self-contained data explorer for a data frame. `viewdt()` profiles every column in R and renders a virtualized grid with “Kaggle”-style micro-dashboard headers (data-type badges, mini spark-histograms, and data-completeness bars), hover metadata cards, a sliding Data Insights drawer, a multi-condition visual query builder, a column-visibility picker, and a reproducible code generator (dplyr, base R, and SQL).
Usage
viewdt(
data,
options = viewdt_options(),
dataset_name = NULL,
width = NULL,
height = NULL,
elementId = NULL
)Arguments
- data
A `data.frame` or `tibble` to explore.
- options
A list created by [viewdt_options()].
- dataset_name
Character used as the data variable name in generated code. Defaults to the deparsed `data` expression.
- width, height
Optional widget dimensions; default to a full-container responsive layout.
- elementId
Optional explicit element id.
Details
The interface is implemented entirely in dependency-free vanilla JavaScript (no React or build toolchain) and works in the RStudio / Positron Viewer, inside Shiny, in R Markdown / Quarto, or as a portable standalone HTML file via [save_viewdt()].
Examples
if (FALSE) { # \dontrun{
viewdt(mtcars)
viewdt(iris, options = viewdt_options(theme = "dark", hidden_columns = "Species"))
} # }