It often happens that a plot is prepared with Matplotlib and saved as a PNG. Some time later, small edits are needed — for example: adjusting axis labels, modifying the legend, translating text into ...
My goal was to build multiple types of visualizations to analyze data distributions, comparisons, and relationships across different scenarios (e.g., housing prices, market share, demographics).
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