Purpose of Research – Automation of non-parametric statistical comparison of means.
The AutoDunn app fills a simple yet important gap for statisticians and data analysts. The AutoDunn software provides an easy way to conduct non-parametric comparison of means automatically, saving considerable amount of time to analysts.
Furthermore, the code is open source, enabling transparency and reproducibility.
Most importantly, AutoDunn software visualizes the results of all conducted statistical analysis using the most effective visualization techniques, including network-based visualization of statistical dominances.
AutoDunn can speed data analysis projects significantly.
Live running app under Streamlit (may need to wake up):
https://autodunn-7thsq9y48yrjyfdr4ezr6n.streamlit.app
Documentation:
Technology Stack: Python, Python packages, Streamlit, ChatGPT 5 for vibe coding Credits: The original R code that conducted the analysis (without a GUI or visualization) was written by Dr. Gul Tokdemir.