E-commerce Marketing and Shopping EDA & Hypothesis Testing Problem Statement: Analyze two datasets—one on shopping behavior and another on demographic, purchase, and marketing data—to gain insights into customer behavior, purchase decisions, and areas for optimization.
Approach:
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EDA:
Preprocess data, analyze distributions, and identify correlations. Visualize user behavior and purchase trends across categories. Segment users by demographics and analyze engagement patterns.
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Hypothesis Testing:
Test if income is dependent on education. Analyze spending patterns across income levels and marital status. Test if lower-income customers are more likely to accept campaigns.
Expectations: Gain insights into factors affecting user purchases. Validate hypotheses using statistical tests. Suggest optimizations for engagement and marketing strategies.
This project serves as a foundation for in-depth analysis, offering opportunities to explore and derive actionable insights.