About

This canvas performs a comprehensive data science analysis of user behavior and success metrics from a hackathon event dataset. It flows through exploratory data analysis (dataset shape, distributions, missing values), visualization of key user metrics (events, geography, devices, viewport), user success classification based on credit consumption patterns, behavioral feature engineering (event diversity, tool usage, exceptions, session patterns), and culminates in comparative analysis identifying event sequences that differentiate successful from unsuccessful users.