Get Started

library(shinydataviewer)
library(shiny)
library(bslib)

shinydataviewer provides a reusable Shiny module for viewing data with:

The module supports data frames with numeric, integer, character, factor, logical, Date, and POSIXct/POSIXt columns. Non-finite numeric values such as Inf, -Inf, and NaN are excluded from numeric summary statistics and histogram bins.

Interface preview

The data viewer combines per-variable summary cards with a searchable table.

The data viewer combines per-variable summary cards with a searchable table.

Minimal module

Use data_viewer_ui() when the viewer should manage its own table card.

ui <- page_fillable(
  theme = bs_theme(version = 5),
  data_viewer_ui("viewer")
)

server <- function(input, output, session) {
  data_viewer_server(
    "viewer",
    data = reactive(iris)
  )
}

shinyApp(ui, server)

Embedded card

Use data_viewer_card_ui() when the viewer belongs inside another layout.

ui <- page_fillable(
  theme = bs_theme(version = 5),
  layout_columns(
    col_widths = c(4, 8),
    card(
      card_header("Context"),
      card_body("Supporting content")
    ),
    data_viewer_card_ui(
      "viewer",
      title = "Dataset",
      full_screen = FALSE
    )
  )
)

server <- function(input, output, session) {
  data_viewer_server(
    "viewer",
    data = reactive(mtcars)
  )
}

shinyApp(ui, server)

Summary helper

The variable sidebar is backed by summarize_columns().

summary_df <- summarize_columns(head(iris), top_n = 4)

summary_df[c("var_name", "type", "n_missing", "n_unique")]
#>                  var_name    type n_missing n_unique
#> Sepal.Length Sepal.Length numeric         0        6
#> Sepal.Width   Sepal.Width numeric         0        6
#> Petal.Length Petal.Length numeric         0        4
#> Petal.Width   Petal.Width numeric         0        2
#> Species           Species  factor         0        1

summarize_columns() returns one row per input column. Its summary_stats and distribution_data list-columns contain the precomputed payloads used by the viewer cards, including detail statistics, categorical top-level counts, and compact histogram metadata.

Example app

A runnable embedded example is included at inst/examples/embedded-card-example.R.