Summary: Pymaceuticals Drug Tests


Laboratory

Pymaceuticals Inc., a fictional burgeoning pharmaceutical company based out of San Diego, CA, specializes in drug-based, anti-cancer pharmaceuticals. In their most recent efforts, they've since begun screening for potential treatments to squamous cell carcinoma (SCC), a commonly occurring form of skin cancer.

As a fictional Chief Data Analyst, I have been given access to the complete data from their most recent animal study. In this study, 250 mice were treated through a variety of drug regimes over the course of 45 days. Their physiological responses were then monitored over the course of that time. The objective is to analyze the data to show how four treatments (Capomulin, Infubinol, Ketapril, and Placebo) compare.

Included in this website are the four plots generated using Python in Jupyter notebook (the original project is here). The four plots are:

  • a scatter plot that shows how the tumor volume changes over time for each treatment
  • a scatter plot that shows how the number of metastatic (cancer spreading) sites changes over time for each treatment
  • a scatter plot that shows the number of mice still alive through the course of treatment (Survival Rate)
  • a horizontal bar graph that compares the total % tumor volume change for each drug across the full 45 days
Also included are the original datasets used to create these plots. Click on the plots to the right or in the navigation bar above to view them!

Visualizations


Metastatic Spread
Survival
Tumor Change
Tumor Response