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Visualization Techniques

This section describes each visualization technique covered in the notebook.

Overview

The notebook includes examples for:

  1. Line Plots & Time Series — temporal data with rolling averages and confidence bands.
  2. Scatter Plots & Regression — bivariate relationships with regression overlays.
  3. Histograms & KDE — univariate distributions and density estimation.
  4. Box & Violin Plots — comparing distributions across categories.
  5. Heatmaps & Correlations — showing correlation matrices and multivariate patterns.
  6. Interactive Plotly Charts — web-based interactive exploration.
  7. Datashader — efficient rendering of large point clouds.
  8. Animations — time-based or parameter-sweep animations.

Each subsection below provides details on the purpose, use cases, and customization options.