mpl_visual_editor lets you keep your normal Matplotlib plotting code, open the finished Figure in a lightweight GUI, make small visual adjustments, add annotations, and export those adjustments as a ...

This part re-covers the plots from Part 1 (`notes-part1-visual-data-analysis.ipynb`) but focuses on *which library to use*. It switches to a **video-game sales** dataset (one row per game: platform, ...