Mall Customer Analysis

Dataset Overview

This dataset contains demographic and spending information of 200 mall customers.

Columns:

• CustomerID - Unique identifier
• Gender - Male or Female
• Age - Age in years
• Annual Income (k$) - Annual income in thousands
• Spending Score (1-100) - Score assigned by the mall

Visualizations

Seaborn Visualizations

1. Distribution of Age
   
2. Distribution of Annual Income
   
3. Distribution of Spending Score
   
4. Gender Distribution
   
5. Boxplot: Spending Score by Gender
   

Matplotlib Visualizations

6. Gender Distribution Pie Chart
   
7. Average Spending Score by Gender
   
8. Scatter Plot: Annual Income vs Spending Score
   
9. Histogram of Age
   
10. Stacked Bar: Age Groups vs Gender
    

Insights

• Most customers are aged 25-45.
• Annual income mostly between 40K-80K.
• Younger customers tend to have higher spending scores.
• Gender distribution is fairly balanced.
• Income vs spending score scatter shows clear clusters — useful for targeted marketing.