https://github.com/jabulente/kruskal-wallis-using-python
A simple Python implementation of the Kruskal-Wallis H-test to compare medians across three or more independent groups. Ideal for non-parametric analysis when data is not normally distributed. Includes example datasets, statistical interpretation, and optional post-hoc analysis.
https://github.com/jabulente/kruskal-wallis-using-python
anova anova-test automation data-analysis data-science dataset exploratory-data-analysis kruskal-wallis machine-learning-algorithms padas python scipy-stats scripting statistics
Last synced: 5 months ago
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A simple Python implementation of the Kruskal-Wallis H-test to compare medians across three or more independent groups. Ideal for non-parametric analysis when data is not normally distributed. Includes example datasets, statistical interpretation, and optional post-hoc analysis.
- Host: GitHub
- URL: https://github.com/jabulente/kruskal-wallis-using-python
- Owner: Jabulente
- License: mit
- Created: 2025-05-07T18:37:11.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-05-07T19:14:25.000Z (5 months ago)
- Last Synced: 2025-05-07T19:42:00.979Z (5 months ago)
- Topics: anova, anova-test, automation, data-analysis, data-science, dataset, exploratory-data-analysis, kruskal-wallis, machine-learning-algorithms, padas, python, scipy-stats, scripting, statistics
- Language: Jupyter Notebook
- Homepage:
- Size: 915 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0