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EbrahimAlwajih committed Jul 2, 2024
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43 changes: 43 additions & 0 deletions .github/workflows/static.yml
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# Simple workflow for deploying static content to GitHub Pages
name: Deploy static content to Pages

on:
# Runs on pushes targeting the default branch
push:
branches: ["main"]

# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:

# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
permissions:
contents: read
pages: write
id-token: write

# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
concurrency:
group: "pages"
cancel-in-progress: false

jobs:
# Single deploy job since we're just deploying
deploy:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Pages
uses: actions/configure-pages@v5
- name: Upload artifact
uses: actions/upload-pages-artifact@v3
with:
# Upload entire repository
path: '.'
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v4
89 changes: 89 additions & 0 deletions README.md
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# Radar Diagram

This repository contains the code for creating radar diagrams to visualize the performance of various models based on multiple evaluation metrics. The radar charts are generated from a CSV file containing the models' metrics, and the resulting charts are saved as SVG files.

## Features

- Generates radar charts for multiple models from a CSV file.
- Saves the radar charts as SVG files in a specified folder.
- Customizable categories for the radar charts.

## Getting Started

### Prerequisites

Ensure you have the following Python packages installed:

- `matplotlib`
- `pandas`

You can install these packages using `pip`:

```bash
pip install matplotlib pandas
```

### Repository Structure

- `RadarChart.py`: Contains the `RadarChart` class and script to generate radar charts.
- `data.csv`: Sample CSV file with model names and their corresponding metrics.
- `Figures/radar_chart/`: Folder where the radar charts will be saved.

### Usage

1. **Clone the repository:**

```bash
git clone https://github.com/EbrahimAlwajih/Radar-Diagram.git
cd Radar-Diagram
```

2. **Prepare your CSV file:**

Ensure your CSV file (`data.csv`) has a structure where the first column contains the model names, and the subsequent columns contain the values for the specified categories.

Example of the `data.csv` structure:

```csv
model,MAE,MSE,RMSE,R2,MedAE,EV,MBD,Adj_R2
Model1,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8
Model2,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9
```

3. **Run the script:**

Execute the script to generate the radar charts:

```bash
python RadarChart.py
```

The radar charts will be saved as SVG files in the `Figures/radar_chart/` directory with filenames corresponding to the model names from the CSV file.

### Customization

- **Categories:**
You can customize the categories for the radar charts by modifying the `categories` list in the script.

```python
categories = ['MAE', 'MSE', 'RMSE', 'R2', 'MedAE', 'EV', 'MBD', 'Adj_R2']
```

- **Folder Path:**
You can specify a different folder path to save the radar charts by changing the `folder_path` variable.

```python
folder_path = './Figures/radar_chart'
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## Contact

If you have any questions, feel free to reach out to the repository owner.

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