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Mall Customer EDA and Segmentation Analysis
This analysis explores customer data from a mall dataset, focusing on the relationship between demographic factors (such as age, income, and gender) and spending behavior. Using exploratory data analysis and K-means clustering, the analysis segments customers into distinct groups, providing insights into potential opportunities for targeting high-spending demographics and engaging income-rich but low-spending shoppers.
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