This project focuses on statistical analysis using Python to uncover insights from a fictitious dataset inspired by real-world cancer treatment experiments.
The dataset consists of 100 mice with squamous cell carcinoma (SCC) treated with four different regimens.
The project emphasizes data accuracy and ethical experimental design, drawing inspiration from research standards.
The goal of the project is to showcase the application of data analysis techniques to any dataset or field.