CSV Scatter Plots via Pandas

I have a set of CSV files that need to be transformed into clear, insightful scatter plots using Python and Pandas. The core of the job is pure data visualization—no cleaning or heavy analysis—just reading the data, selecting the relevant columns, and producing well-labeled plots that highlight key relationships I will specify once we start.

I expect the work to be done in a Jupyter notebook or a clean .py script that leverages Pandas alongside Matplotlib or Seaborn. Keep the code modular so I can drop in additional CSVs later; if you think an optional line or bar chart could enrich the view, feel free to note that in comments, but the only required output for now is a series of scatter plots.

Deliverables:
• Reproducible Python code (notebook or script) that reads my CSV files and generates the scatter plots
• Exported images (PNG or SVG) for each plot
• Brief inline comments explaining the major steps

Send a quick note on how you plan to structure the code and we can get started right away.