Intermediate

Statistical Analysis with Matplotlib

Statistical distributions, histograms, boxplots, violin plots and subplot mosaics with Matplotlib.

Training data is generated with NumPy's random number generator (RNG), ensuring reproducible samples via the seed parameter.

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What's inside

13 sections
  1. 1 Table of Contents
  2. 2 Course Overview
  3. 3 Core Concepts: Statistical Distributions
  4. 4 Data Generation with NumPy RNG
  5. 5 Histograms with Matplotlib
  6. 6 Boxplots
  7. 7 Violin Plots
  8. 8 Subplots and Subplot Mosaics
  9. 9 Style Sheets and Visual Customization
  10. 10 Mermaid Diagrams
  11. 11 Mathematical Reference Formulas
  12. 12 Reference Tables
  13. 13 Summary and Best Practices

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