Overview

This project focuses on statistical analysis using Python, applying various techniques to uncover insights from a fictitious dataset inspired by real-world cancer treatment experiments.

While the dataset itself is simulated, the project draws inspiration from research standards such as McGill University’s Standard Operating Procedures, emphasizing both data accuracy and ethical experimental design.

The dataset represents a study involving 100 mice with squamous cell carcinoma (SCC), a type of skin cancer, treated with four different regimens. Over 45 days, tumor development was observed and recorded, providing a rich dataset for analysis.

This project is particularly intriguing because, even with fictitious data, it mirrors real-world applications and challenges. The goal is to show that once you master data analysis techniques, you can apply them to any dataset or field.

With access to the data dictionary and a clear understanding of the variables, you’ll have all the tools to explore the dataset. Step by step, I’ll guide you…