Skip to content

itanalytics/matplotlib-challenge

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 

Repository files navigation

matplotlib-challenge

Description

In this study, 249 mice who were identified with SCC tumors received treatment with a range of drug regimens. Over the course of 45 days, tumor development was observed and measured. The purpose of this study was to compare the performance of Pymaceuticals’ drug of interest, Capomulin, against the other treatment regimens.

Final Analysis

1 duplicated mouse ID (g989) was found and removed from the study.

Summary statistics show that mice treated with Capomulin had the second lowest average tumor volume.
The lowest was with Ramicane. Both Capomulin and Ramicane had higher counts of total timepoints tested as well.

The breakdown of sex was an almost even split, 51% male, 49% female. In the data set of final tumor volumes for the top 4 drugs, only one outlier was found, and the drug regimen was Infubinol.

A closer look at Mouse ID l509 treated with Capomulin showed a reduction in tumor volume over time.
There is a strong positive correlation between mouse weight and average tumor volume in mice treated with Capomulin, with lower weight correlating to lower average tumor volumes.

Contributors

Ivan Villa

Additional Notes

Data generated by MockarooLinks to an external site., LLC (2022). Realistic Data Generator.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published