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

Completed the Jupyter Notebook assignment_2.ipynb to analyze inflammation data and evaluate the drug’s efficacy. Implemented patient_summary(), check_zeros(), and detect_problems() functions and verified their outputs.

What did you learn from the changes you have made?

I learned how to use NumPy arrays to perform summary statistics and identify data irregularities. I also practiced working with file paths, functions, and modular code in Jupyter.

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

I considered manually looping through the CSV lines instead of using NumPy, but chose NumPy for cleaner and faster array operations.

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

I initially got None as output because I forgot to return a value in detect_problems(). After reviewing the logic, I fixed it by adding return result.

How were these changes tested?

I ran the notebook in Jupyter, executed all cells without errors, and verified the expected results:

• The first inflammation file returns False
• The functions behave as described in the assignment instructions

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

N/A

Checklist

• I can confirm that my changes are working as intended