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This repository uses python to run analysis on drug regimens being tested on mice to reduce tumor sizes.

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Drug Regimen Efficacy

Pills against pink background

Description

This project examines various drug regimens and their efficacy at reducing tumor size in test mice. The dataset includes measurements at timepoints over the course of 45 days. In particular, it is asking how the drug Capomulin compares to the other possible treatments.

Observations

Drug Regimen Efficacy

Of the drug regimens attempted, Capomulin and Ramicane were the most likely to succeed in reducing tumor size. You can see this bear out in the "Quartiles, Outliers and Boxplots" section of the notebook. Ramican and Capomulin have much smaller tumor volumes at the final timepoint compared to Infubinol and Naftisol.

Largest Dataset: Capomulin

As you can see in bar charts of the number of measurements for each drug regimen, Capomulin has the most measurements. Considering that Capomulin was one of the more effective drugs, this makes sense. It's possible to extrapolate the conclusion that less effective drug regimens resulted in the earlier deaths of the corresponding mice.

Bar Chart: Regimen Measurements

Size of Tumor and Mouse Weight Are Correlated

If you look at the linear regression model at the bottom of this report, you can see that, for the most part, tumor size increased along with the size of the mouse.

Weight, Tumor Volume Relationship

Installation

Follow the links to install the following libraries:

Repository Contents

  • Checkpoints for Jupyter Notebook
  • Images - referenced by readme.md
  • Resources - Mouse_metadata.csv, Study_results.csv
  • Jupyter Notebook Code - pymaceuticals_REH.ipynb
  • Readme file

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This repository uses python to run analysis on drug regimens being tested on mice to reduce tumor sizes.

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