Comparison of Two Populations

A short compilation of visual methods for comparing two samples.

Visual Tools

  1. Box Plots
  2. Bee Swarm Plots
  3. Violin Plots
  4. Histograms
  5. Kernel Density Estimation
  6. Empirical ROC
  7. Empirical Cumulative Distribution Functions

Hypothesis Tests

  1. Kolmogorov-Smirnov
  2. Anderson-Darling

You can find the Python code below or in this Git Link.


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Comparison of Two Populations.ipynb

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View this gist on GitHub

2 thoughts on “Comparison of Two Populations”

  1. Pingback: Anatomy of a Box Plot – Quant Girl

  2. For the empirical ROC, the value of the AUC is relevant in any way to determine if the two sample come from the same distribution? Which of those methods can be generalized to compare more than two samples?

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