I have a set of purely numeric data that needs to be turned into clear, publication-ready visuals. I’m looking for a Python solution—ideally using matplotlib, seaborn or Plotly—that can generate three specific chart types from the same dataset: line, bar and scatter. The code should be clean, well-commented and accept a simple CSV as input, then save each graph to PNG (SVG export is a plus). Here’s what I’d like to receive: • A single, reusable .py script (or notebook) that reads the data, produces the three graphs and allows easy tweaks for titles, axis labels and colour palettes. • Sample output images showing the expected styling. • A brief README noting required libraries and any setup steps. Acceptance will be based on accurate rendering of the numeric values, sensible defaults (ticks, legends, grid) and tidy, PEP-8–compliant code. When you reply, please highlight your experience with similar Python visualization tasks and mention any past projects where you handled numeric datasets. I’ll provide the sample CSV once we agree to proceed.