# MIE2026 Fake IBD Workshop Plots (Single CSV)

## Overview

This project contains a standalone Python script converted from a Jupyter notebook:

`MIE2026_fake_IBD_workshop_plots_single_csv.py`

The script is intended for generating plots and performing exploratory analysis on a single CSV dataset related to the MIE2026 fake IBD workshop example dataset.

---

## Features

- Loads data from a CSV file
- Performs preprocessing and analysis steps
- Generates plots and visualizations
- Runs as a normal Python script (no notebook required)

---

## Requirements

The script appears to use the following Python libraries:

- `__future__`
- `argparse`
- `matplotlib`
- `numpy`
- `pandas`
- `pathlib`

Install dependencies with pip if needed:

```bash
pip install __future__ argparse matplotlib numpy pandas pathlib
```

---

## Usage

Run the script from the command line:

```bash
python MIE2026_fake_IBD_workshop_plots_single_csv.py
```

If the script expects a CSV file path, update the input file location inside the script or modify the script to accept command-line arguments.

---

## Project Structure

```text
.
├── MIE2026_fake_IBD_workshop_plots_single_csv.py
└── README.md
```

---

## Notes

- This script was automatically converted from a Jupyter notebook.
- Notebook cell outputs and metadata were removed.
- Markdown explanations from the notebook were converted into Python comments where appropriate.

---

## Recommended Improvements

You may want to further improve the script by:

- Adding command-line arguments with `argparse`
- Creating a `requirements.txt`
- Refactoring repeated plotting logic into functions
- Adding logging and error handling
- Saving plots automatically into an output directory

---

## License

Add your preferred license information here.