Data Analysis

This repository contains a Jupyter notebook analysis for the accelerated stability exercise.

Contents

• notebooks/KTP_stability_analysis.ipynb — full analysis notebook with comments, plots and modelling.
• outputs/ — generated plot images from the notebook.
• requirements.txt — Python packages needed to run the notebook.
• data/ — placeholder directory for the supplied dataset.

How to run

1. Create and activate a Python environment:

python -m venv .venv
source .venv/bin/activate  # Windows: .venv\\Scripts\\activate

2. Install dependencies:

pip install -r requirements.txt

3. Place the supplied Excel workbook in the data/ folder using this filename:

data/KTP_task_datasets.xls

Alternatively, edit the DATA_PATH variable near the top of the notebook.

4. Launch Jupyter:

jupyter lab

5. Open and run:

notebooks/KTP_stability_analysis.ipynb

Notes

• The notebook uses transparent exploratory analysis and simple OLS models to support formulation comparison and discuss limitations.