A short compilation of visual methods for comparing two samples.
Visual Tools
- Box Plots
- Bee Swarm Plots
- Violin Plots
- Histograms
- Kernel Density Estimation
- Empirical ROC
- Empirical Cumulative Distribution Functions
Hypothesis Tests
- Kolmogorov-Smirnov
- Anderson-Darling
You can find the Python code below or in this Git Link.
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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?