A robust, production-ready Python library for loading, cleaning, analyzing, and reporting on messy datasets.
This repository provides a modular pipeline to safely ingest and process real-world data. It automatically handles structural data errors, audits missing values, and generates statistical quality reports. The toolkit is built to prevent silent failures on client data.
git clone [https://github.com/YOUR_USERNAME/python-data-utils.git](https://github.com/YOUR_USERNAME/python-data-utils.git)
cd python-data-utils
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt