Cancer Research with Matplotlib

Background

This project visualises data of a fictional pharmaceutical company that specialises in anti-cancer pharmaceuticals. In its most recent efforts, it began screening for potential treatments for squamous cell carcinoma (SCC), a commonly occurring form of skin cancer. As per the dataset, 249 mice identified with SCC tumour growth were treated through a variety of drug regimens. Over the course of 45 days, tumour development was observed and measured. The purpose of this study was to compare the performance of their drug of interest, Capomulin, versus the other treatment regimens. Here I generated all of the tables and figures needed for the technical report of the study, as well as a summary of the study results.

Steps

• The data consists of two CSV files:
  1-"Mouse_metadata.csv" which contains information about each mouse's age, weight, sex, and the drug used for treating it.
  2-"Study_results.csv" which contains daily information about the tumor size for each mouse.


• Before beginning the analysis, I checked the data for any mouse ID with duplicate time points and removed any data associated with that mouse ID.

• Generated a summary statistics table consisting of the mean, median, variance, standard deviation, and SEM of the tumour volume for each drug regimen.