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lenaras/ab_test_analysis_ecommerce_landing_page

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App README

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

📊 A/B Test Analysis – E-Commerce Landing Page

Welcome to the interactive Streamlit app for analyzing the results of an A/B test from an e-commerce website.

This dashboard helps decision-makers evaluate:

—Whether to keep the current landing page or adopt a new one
—When conversions are highest (hourly, daily)
—Country-level conversion differences
—Model-based insights using Machine Learning

🔍 What You Can Do

✅ Explore conversion rates for control vs. treatment groups ✅ See confidence intervals and power analysis ✅ Visualize conversion trends by hour and date ✅ Understand country-level differences ✅ Try Multi-Armed Bandit simulation ✅ Test predictive models (Random Forest, LightGBM, XGBoost)

📁 Files

File	Purpose
`app.py`	Main Streamlit dashboard app
`ab_test.csv`	A/B test dataset
`countries_ab.csv`	Country info for users
`requirements.txt`	Required Python packages

🚀 How to Run Locally

bash

pip install -r requirements.txt
streamlit run app.py