## Analysis Description This report presents a structured descriptive analysis of global online order data extracted from a distributed Spark environment and analyzed in R. The study begins with a stratified sampling strategy to ensure computational efficiency while preserving continental representation. It then examines device usage patterns across regions, highlighting behavioral consistency and separating market size effects from true preference. A detailed numerical analysis of session duration (time-to-purchase) evaluates engagement intensity, distribution shape, upper-tail behavior, and the presence of high-activity users. Grouped comparisons across continents confirm whether engagement differs meaningfully by region. The analysis combines statistical summaries, distribution diagnostics, and visual interpretation to support practical managerial insight. The findings emphasize: - Globally consistent mobile-first behavior - Uniform engagement intensity across continents - Scale-driven differences in traffic volume - Actionable opportunities to reduce checkout friction Overall, the report translates raw behavioral data into operational and strategic guidance for product optimization, infrastructure planning, and performance improvement in a global online commerce environment.

MI

MI

imputation

For ARP Sensors