R Enhanced Viewer (REViewer)
A VS Code / Cursor extension for enhanced data frame viewing, designed specifically for statistical programmers in the pharmaceutical industry.
Features
- 📊 Enhanced Data Viewing - View R data frames in a modern spreadsheet-like interface
- 🚀 REView() Function - Type
REView(df) in R console to instantly view data
- 🔍 Global Search - Press
Ctrl+F / Cmd+F to search across all columns
- 🎛️ Variable Selector - Quickly browse and select variables with type indicators and search functionality
- ↕️ Multi-Column Sorting - Click column headers to sort; hold Shift to add secondary sort columns
- 🔎 Quick Filter - Press
E on any cell to filter data; Shift+E to add OR conditions
- 📊 Frequency Tables - Press
F on any cell to view frequency distribution
- 📈 Summary Statistics - Press
M on numeric columns to view mean, median, min, max, and more
- 📋 Copy Support - Double-click cells to copy values
- ⌨️ Keyboard Navigation - Use arrow keys to navigate cells;
Home/End for first/last row
- 🔢 Jump to Row - Press
Ctrl+G / Cmd+G to jump to a specific row number
- ❌ Clear Filters - Press
Escape to clear all filters and close panels
Quick Start
Installation
- Open VS Code / Cursor
- Go to Extensions (
Cmd+Shift+X / Ctrl+Shift+X)
- Search for "R Enhanced Viewer" or "REViewer"
- Click Install
Usage
Prerequisites: Install R Extension for Visual Studio Code for the best experience.
Steps:
- Start R terminal:
Cmd+Shift+P → "R: Create R Terminal"
- Load your data in R (e.g.,
data("mtcars") or load your own dataset)
- View data:
Cmd+Shift+P → "REViewer: View Data Frame" → Enter variable name
Using REView() Function:
After running "REViewer: View Data Frame" once, the REView() function becomes available in your R session:
# View any data frame
REView(mtcars)
# Works with pipes too!
library(dplyr)
iris %>% filter(Species == "setosa") %>% REView()
Pharma Industry Features
This extension is designed with pharmaceutical industry needs in mind:
- SAS-like Labels - Displays variable labels when available
- Large Dataset Support - Handles ADaM datasets with 1M+ rows
- Data Types - Clear indication of R data types (numeric, character, factor, etc.)
- Missing Values - NA values are clearly highlighted
- CDISC Ready - Optimized for SDTM/ADaM data structures
Security & Compliance
🔒 Data Privacy
REViewer is designed with pharmaceutical industry data security requirements in mind:
| Security Feature |
Status |
Description |
| 100% Local Processing |
✅ |
All data remains on your local machine |
| No External Network Requests |
✅ |
No data is sent to any external servers |
| No Telemetry |
✅ |
No usage data or analytics collection |
| No Cloud Dependencies |
✅ |
Works completely offline |
| Memory-Only Storage |
✅ |
Data exists only in memory during viewing session |
🏥 Pharmaceutical Industry Compliance
| Regulation |
Status |
Notes |
| 21 CFR Part 11 |
✅ Compatible |
Read-only viewer, does not modify source data |
| HIPAA |
✅ Compliant |
No PHI data transmission |
| GDPR |
✅ Compliant |
No personal data collection |
| GxP |
✅ Compatible |
Suitable for validated environments |
🔧 Technical Security Details
- Localhost Only: HTTP server binds exclusively to
127.0.0.1 (localhost) - external network cannot access
- Webview Sandbox: VS Code Webview runs in isolated browser environment with no filesystem or network access
- No Persistent Storage: Data is released from memory when viewer is closed
- Open Source: Full source code available for security audits
🏢 Enterprise Deployment
- Install directly from VS Code Extensions panel
- Extension reviewed by Microsoft
- No external network requests - suitable for secure environments
License
MIT
Acknowledgments
- Built for statistical programmers transitioning from SAS to R
- Thanks to the R extension team for their work on R support in VS Code
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