Pymaceuticals Inc. is conducting a study to test the effectiveness of various drug regimens on reducing tumor size in mice. This project involves analyzing the tumor volume data across different drug treatments to identify trends, outliers, and potentially effective therapies.
The primary goal is to investigate how different drugs impact tumor growth, identify outliers in tumor volume, and provide insights through visualizations like box plots and linear regression.
- Clone the repository:
git clone https://github.com/the-eva-a/matplotlib-challenge
- Open the Jupyter notebook
pymaceuticals.ipynbin your preferred environment:
jupyter notebook pymaceuticals.ipynb- Run all cells.
This project is part of the curriculum in the edX Data Analytics Bootcamp. Special thanks to my instructors and peers for their support and guidance.