Matplotlib

Visualization examples using Matplotlib.

Use this folder to build plotting fundamentals before relying on higher-level charting libraries. The goal is to understand how to choose a chart, label it clearly, and inspect whether it actually communicates the underlying data.

What This Folder Is For

• Line, bar, scatter, histogram, and subplot basics
• Labeling, legends, axes, and annotation habits
• Building readable plots for analysis notebooks and reports
• Strengthening the visualization layer that supports EDA and model evaluation

How To Use This Folder Well

• Start with simple quantitative plots before trying to make polished dashboards.
• Focus on readability and interpretation, not just API memorization.
• Recreate one or two plots from your pandas work so the skills transfer immediately.

What Comes Next

• Continue to ../5-scikit-learn/README.md to apply plotting during modeling and evaluation.
• Continue to ../../16-model-evaluation/README.md later when plots start becoming metric and error-analysis tools.
• Revisit ../2-pandas-examples/README.md if you need more real datasets to visualize.