Abstract
To support hands-on learning, I have been developing an interactive web application, named Experimental Research & Observational Learning (EROL) Application, (though currently in an experimental phase) that would allow students to conduct statistical analyses without programming barriers, making quantitative methods in political science more accessible across different technical backgrounds.
This EROL.app is currently hosted on Hugging Face Spaces:
https://fatiherol-erol-app.hf.space
The hosted application may experience slower performance or occasional lag due to shared server resources. For a more responsive experience, users can run the application locally using one of the following methods:
Option 1: Docker (Recommended)
docker run -it -p 7860:7860 --platform=linux/amd64 \
registry.hf.space/fatiherol-erol-app:latest
After running this command, access the application at:
http://localhost:7860
Option 2: Run from Source Code
Clone the repository:
git clone https://github.com/ferol15/EROL.app.git
Open the project in RStudio or R
Install required packages and run the application locally
For the source code, visit:
GitHub Repository – https://github.com/ferol15/EROL.app.git