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ViewR

ViewR is a single-function R package that opens a feature-rich, popup-based Shiny interface for interactively viewing, filtering, sorting, editing, and analysing any data frame – with every operation reflected in real-time as copy-pasteable dplyr code.

Features

Data View – searchable, paginated DT table with optional variable-label tooltips and per-column search filters
Sidebar Filters – unlimited filter conditions with 11 operators (==, !=, >, >=, <, <=, contains, starts with, ends with, is NA, is not NA); combine rows with AND / OR logic
Multi-column Sort – add multiple sort levels; choose ascending or descending per column
Column Visibility – show/hide columns with one click via checkboxes
Excel-like Editor (edit = TRUE) – powered by rhandsontable; supports in-cell editing, adding/deleting rows, and unlimited undo/redo
Find & Replace – search literal text or regex across one or all columns; case-sensitivity and exact-match options; preview before applying
Variable Info tab – data type, N, missing %, unique count, 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 UI state; one click copies it to the clipboard

Installation

# From CRAN (once published):
install.packages("ViewR")

# Development version from GitHub:
# install.packages("remotes")
remotes::install_github("itsmdivakaran/ViewR")

Install all optional dependencies at once:

ViewR::install_viewr_deps()

Quick Start

library(ViewR)

# Basic viewer -- popup dialog
ViewR(mtcars)

# Edit mode: returns modified data frame when you click Done
new_iris <- ViewR(iris, edit = TRUE)

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

# Open in the system browser
ViewR(iris, viewer = "browser")

# Works with haven-imported SPSS/Stata files (labels read automatically)
# df <- haven::read_sav("my_survey.sav")
# ViewR(df)

Function Signature

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
)

Argument	Default	Description
`data`	–	A `data.frame` or `tibble`
`edit`	`FALSE`	Enable Excel-like editing tab
`popup`	`TRUE`	Open as popup dialog
`labels`	`NULL`	Named vector of variable labels
`title`	auto	Window title
`viewer`	`"dialog"`	`"dialog"`, `"browser"`, or `"pane"`
`generate_code`	`TRUE`	Show the R Code tab
`theme`	`"flatly"`	Bootstrap/shinythemes theme
`max_display`	`50000`	Max rows rendered (performance cap)
`return_data`	`TRUE`	Return (edited) data on Done

Generated Code Example

After applying filters and a sort in the UI, the R Code tab shows:

library(dplyr)

mtcars_result <- mtcars |>
  filter(
    `cyl` == "6" &
    `hp` >= 110
  ) |>
  arrange(`mpg`)

UI Overview

+-----------------------------------------------------+
| [=] ViewR -- mtcars         [rows/cols info] [Done] |
+------------------+----------------------------------+
| FILTERS  [+ add] | [Data] [Edit] [F&R] [Info] [Code]|
|                  |                                  |
| SORT     [+ add] |   Searchable, paginated DT table |
|                  |                                  |
| COLUMNS          |   (or Edit / Find-Replace /      |
|  [x] mpg         |    Variable Info / R Code tab)   |
|  [x] cyl         |                                  |
|  [ ] disp        |                                  |
|                  |                                  |
| DISPLAY          |                                  |
|  Rows per page   |                                  |
+------------------+----------------------------------+

Dependencies

Required (installed automatically): shiny, miniUI, DT, rhandsontable, shinyjs, shinythemes, htmltools, jsonlite

Suggested (for specific features): haven (variable labels from .sav/.dta files), dplyr (generated code), tibble (tibble input)

License

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.
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