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Running mall customers: segmentation by income & spending analysis...
Sent to . Inside: interactive charts, statistical results, R code, and AI insights.
Analyze another fileThis analysis uses k-means clustering to segment mall customers into distinct groups based on their annual income and spending patterns. Each segment is characterized by demographics (age, gender composition) and behavior (spending propensity relative to income), enabling identification of the most valuable and responsive customer group for targeted marketing.
Interactive bar visualization
Interactive scatter visualization
Interactive table visualization
Interactive horizontal_bar visualization
Plain-English interpretation of what the numbers mean, what's significant, and what to do next.
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