How does spending score change with age/annual income?

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Use mall_customer data file to perform clustering.
Column 1: Customer ID
Column 2: Gender
Column 3: Age
Column 4: Annual Income
Column 5: Spending score (the magic number that you get from customer profile)
Use your analysis to answer the following questions. Your answer should be supported by your analysis.
1. Everything being equal, do males or females have higher spending score?
2. How does spending score change with age/annual income?
3. What are the common features for those with high spending scores?

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