Bankruptcy-Prediction Web App

This is a Shiny application designed for predicting a company's bankruptcy risk using a pre-trained machine learning model. The app allows users to interactively input financial variables and obtain predictions on whether the company is at risk of bankruptcy.

Getting Started

Prerequisites

• R and RStudio installed on your machine.

Installatio

1. Clone the repositore:

   git clone https://github.com/jmlopezfabian/Bankruptcy-Prediction.git
   

2. Open Rstudio and navigate to the cloned directory

3. Install required packages:

   install.packages(c("shiny", "bslib"))
   

4. Run the app:

   • Open 'App/app.R' in RStudio.
   • Click the "Run App" button.

Project Structure

• App/: Contains the Shiny application files.
• Data/: Contains the dataset files used by the application.
• EDA/: Contains exploratory data analysis scripts and notebooks.
• Graphics/: Stores visualizations and graphs generated during analysis.
• Models/: Holds the pre-trained machine learning model.

Exploratory Data Analysis (EDA)

The EDA/ directory contains scripts and notebooks used for exploratory data analysis, data preprocessing, and dimensionality reduction. You can find visualizations, histograms, box plots, and other exploratory analyses in the Graphics/ directory.

Contributing

Contributions are welcome! If you find issues or want to contribute improvements, open a pull request.