This is a simple demonstration of using WebR with dplyr and ggplot2 to create data visualizations directly in the browser without requiring an R server.
Generate by Claude 3.7 Sonnet in Cursor IDE - took a few iterations.
WebR is a version of R compiled to WebAssembly, which allows R code to be executed directly in the browser. This makes it possible to run R code without needing a server-side R installation.
- Load and run R code in the browser
- Use dplyr for data manipulation
- Create visualizations with ggplot2
- No server-side R installation required
- Clone this repository or download the files
- Open the
index.htmlfile in a modern web browser- For local development, you might need to use a local web server due to CORS restrictions
- You can use
python -m http.serveror any other simple local server
Alternatively, you can access the demo directly on GitHub Pages if deployed.
- Wait for WebR and the required packages (dplyr and ggplot2) to load
- The example code will be displayed in the code box
- Click "Run Analysis" to execute the code and display the visualization
- The visualization shows the average MPG (miles per gallon) grouped by the number of cylinders from the built-in mtcars dataset
You can modify the R code in the index.html file to create different visualizations or analyses. The basic pattern is:
- Load required libraries
- Manipulate data with dplyr
- Create visualizations with ggplot2
- A modern web browser with WebAssembly support (Chrome, Firefox, Safari, Edge)
- Internet connection (to load WebR and packages)
- Initial loading can take some time as WebR and R packages are downloaded
- Memory usage can be high for complex analyses
- Not all R packages are available or compatible with WebR
This example is provided under the MIT License. Feel free to use and modify it for your own projects.