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matplotlib-tumor-drug-analysis

Overview:

In this project, I performed a visual examination of tumor development in mice subjected to various drug treatments. The study involved 249 mice diagnosed with SCC tumors who received treatment with a range of drug regimens. Over a span of 45 days, tumor development was closely observed and measured. The primary objective of this study was to assess and compare the efficacy of Pymaceuticals’ drug of interest, Capomulin, against other treatment regimens.

Tasks:

  • Prepare the data.
  • Generate summary statistics.
  • Create bar charts and pie charts.
  • Calculate quartiles, identify outliers, and construct a box plot.
  • Develop a line plot and a scatter plot.
  • Determine correlation and perform regression analysis.
  • Submit the final analysis.

Requirements

  • Python
  • Jupyter Notebook
  • Pandas
  • Matplotlib
  • SciPy
  • NumPy

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