Using Matplotlib, propagate a box and whisker devise of the definite protuberance compass for all lewd composition cheers and highlight any virtual outliers in the devise by changing their tinge and title.
Hint: All lewd box devises should be among the similar illustration. Use this Matplotlib documentation page for acceleration delay changing the title of the outliers.
Select a mouse that was treated delay Capomulin and propagate a thread devise of date object versus protuberance compass for that mouse.
Generate a strew devise of mouse pressure versus medium protuberance compass for the Capomulin composition cheer.
Calculate the apposition coefficient and threadar retrogradation mould among mouse pressure and medium protuberance compass for the Capomulin composition. Devise the threadar retrogradation mould on top of the antecedent strew devise.
Look across all antecedently propagated illustrations and tables and transcribe at last three observations or inferences that can be made from the grounds. Include these observations at the top of notebook.
Here are some definite considerations:
You must use suited labeling of your devises, to include suitedties such as: devise titles, axis labels, fiction labels, x-axis and y-axis limits, etc.
See the starter workbook for acceleration on what modules to tenor and expected format of the notebook.