Assignment 1

[karennh21]

PULL REQUEST TITLE: UofT-DSI | Sampling - Assignment 1

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

Add code to run the simulation of events 10 and 100 times.
Add code (np.random.seed()) to make the code reproducible.

What did you learn from the changes you have made?

Reproducibility varies based on the number of simulations. The higher the number of simulations, the more reproducible the sample is.

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

N/A

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

Determining whether or not some parts of the code demonstrated sampling such as the secondary contact tracing function. I reviewed the lecture slides and examples to determine characteristics to look for in sampling and sampling methods which helped overcome the challenges.

How were these changes tested?

I ran the code and plotted the histograms multiple times to analyze the effects on reproducibility.

A reference to a related issue in your repository (if applicable)

N/A

Checklist

• I can confirm that my changes are working as intended

[PatelVishakh]

Assignment 1:Complete! Suggested changes:

⚠️1. Also Include the Setup stage, ie pd.DataFrame
✅ Good description of each Stage.
✅ Good Takeaway about the simulations with 10 and 100.

✅ Simulation is Reproducible.
Vishakh Patel[LS]