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matplotlib-challenge

What good is data without a good plot to tell the story?

In this assignment, you’ll apply what you've learned about Matplotlib to a real-world situation and dataset.

Background

You've just joined Pymaceuticals, Inc., a new pharmaceutical company that specializes in anti-cancer medications. Recently, it began screening for potential treatments for squamous cell carcinoma (SCC), a commonly occurring form of skin cancer.

As a senior data analyst at the company, you've been given access to the complete data from their most recent animal study. 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.

The executive team has tasked you with generating all of the tables and figures needed for the technical report of the clinical study. They have also asked you for a top-level summary of the study result

Project Structure

The project is organized as follows:

  • Pymaceuticals: Folder containing the data folder.
    • data: Folder containing the CSV files used for analysis.
    • pymaceuticals_starter.ipynb: Starter file for code and an outline of how the analysis should be presented
  • matplot challenge.ipynb: File cotaining code for analysis.

Author

Miranda Smith

References

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

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