Mall Customer Segmentation "This repository contains a cleaned and preprocessed dataset for my Data Analyst Internship task. The dataset was processed using Excel, with missing values handled, duplicates removed, and data formats standardized. The repository includes the cleaned dataset, a README file explaining the cleaning process."
| Column Name | Description |
|---|---|
| CustomerID | Unique ID assigned to each customer |
| Gender | Gender of the customer (Male/Female) |
| Age | Age of the customer |
| Annual Income (k$) | Annual income in thousands of dollars |
| Spending Score (1-100) | Score assigned by the mall based on customer behavior and spending |
- Cleaned and ready-to-use
- No missing values
- Suitable for KMeans, DBSCAN, and other clustering algorithms
- Ideal for visualizations using Matplotlib, Seaborn, or Excel
- mall_customers_cleaned.csv – Cleaned dataset
- README.md – Project documentation
- Customer segmentation using clustering (K-Means)
- Marketing strategy and target analysis
- Behavioral pattern visualization
Prachee Chahar 🏫 LinkedIn Profile
customer-segmentation data-analysis excel clustering unsupervised-learning machine-learning csv marketing