Contributed a targeted visualization enhancement to thezachdrake/UMD-INST627-Fall2024 by refining the inclass.ipynb notebook for improved data presentation. Focused on increasing readability and consistency, the work involved correcting year labels on the x-axis, refining plot titles, and standardizing plot assignments to create a more coherent structure for course materials. Leveraged Python, Jupyter Notebook, and data visualization libraries such as matplotlib and seaborn to implement these changes. The update aimed to support clearer insights for students and instructors while strengthening maintainability and traceability through a focused, well-documented commit. No bug fixes were addressed during this period.