/Pymaceuticals-Continued-Making-Matplotlib-Magic

It has been a few days since you sent your boxplot to the senior scientist at Pymaceuticals and today they finally got back to you with feedback. They said your inital For this, I will leverage the same drug regimen data from last class and utilize subplots to create an advanced visualization that is packed with insightful information!

Primary LanguageJupyter Notebook

NETFLIX-Pymaceuticals-Continued-Making-Matplotlib-Magic

Instructions:

Regenerate Data and Create Detailed Subplot

  1. Used the previous code, re-imported, cleaned and visualized the drug regimen data from the Pymaceuticals Notebook.

  2. Used plt.subplot() to create a figure with a 2x2 subplot layout, where the first plot is our original boxplot from the previous Pymaceutical Notebook.

  3. For the second plot within the subplot, created a horizontal bar chart showing the largest final tumor volume for each drug regimen.

  4. For the third plot within the subplot, created a scatter plot that shows final tumor volume by drug regimen and colored by the mouse Sex.

  5. For the fourth plot within the subplot, creatde a scatter plot that shows final tumor volume by drug regimen and colored by mouse Age_months using a colorbar.