Package {ViewR}

ViewR: Interactive Data Viewer, Filter, and Editor

Description

Provides a feature-rich, popup-based interactive interface for viewing, exploring, filtering, sorting, editing, analysing, and plotting R data frames. Key features include: a searchable, paginated data table with drag-and-drop column reordering and variable-label 'tooltips'; multi-condition filters (AND/OR) with live preview; multi-column sorting; column visibility management with search; an Excel-like cell editor powered by 'rhandsontable'; find-and-replace across one or all columns (literal or regex) with automatic live preview; a Plots tab with auto-detected histograms and bar charts for every column; automatic 'dplyr' code generation reflecting every operation performed in the 'UI'; one-click CSV export; and a Variable Info tab with type, missing values, and summary statistics. The entire interface is launched with a single call to ViewR() and works as a popup dialog, in the 'RStudio' Viewer pane, or in the system browser.

Author(s)

Maintainer: Mahesh Divakaran imaheshdivakaran@gmail.com

See Also

Useful links:

• https://github.com/itsmdivakaran/viewR

• https://itsmdivakaran.github.io/viewR/

• Report bugs at https://github.com/itsmdivakaran/viewR/issues

ViewR: Interactive Data Viewer, Filter, and Editor

Description

Opens a feature-rich, popup-based Shiny interface for viewing, exploring, filtering, sorting, editing, and analysing R data frames. All operations are reflected in real-time as copy-pasteable dplyr code.

Usage

ViewR(
  data,
  edit = FALSE,
  popup = TRUE,
  labels = NULL,
  title = NULL,
  viewer = c("dialog", "browser", "pane"),
  generate_code = TRUE,
  theme = c("flatly", "cerulean", "cosmo", "darkly", "lumen", "paper", "readable",
    "sandstone", "simplex", "spacelab", "united", "yeti"),
  max_display = 50000L,
  return_data = TRUE,
  ...
)

Arguments

Value

If return_data = TRUE and the user clicked Done, returns the modified data frame invisibly. Otherwise returns the original data frame invisibly.

Features

• Data View - searchable, paginated DT table with optional variable-label tooltips and column-level search filters.

• Sidebar Filters - add unlimited filter conditions with operators ==, !=, >, >=, <, <=, contains, starts with, ends with, is NA, is not NA; combine with AND / OR logic.

• Multi-column Sort - add multiple sort levels; choose ascending or descending per column.

• Column Visibility - show/hide any columns via checkboxes.

• Excel-like Editor (edit = TRUE) - powered by rhandsontable; supports in-cell editing, adding rows, and unlimited undo/redo.

• Find & Replace - find literal text or regex across one or all columns with case-sensitivity and exact-match options; preview changes before applying.

• Variable Info - data type, N, missing min, max, and sample values for every column.

• R Code Generation - the R Code tab always shows the complete, runnable dplyr pipeline for the current state. One click copies it to the clipboard.

Examples

if (interactive()) {
  ViewR(mtcars)

  new_iris <- ViewR(iris, edit = TRUE)

  ViewR(mtcars,
        labels = c(mpg = "Miles per Gallon",
                   cyl = "Number of Cylinders",
                   hp  = "Gross Horsepower"),
        theme  = "darkly")

  ViewR(iris, viewer = "browser", generate_code = TRUE)
}