Suppose you're given a dataset containing weights of a tiger, recorded over time. The dataset will contain a date, and a recorded weight (in kgs).

Using this data, write code to compute and visualize uncertainty estimates for the weights recorded across each month. In our solution we'll compute uncertainty using a standard confidence interval formula, as well as using bootstrapping -- note that this question is an example of a more open-ended problem with many potential ways to approach.

To help get you started, below is Python code to ...