Dataset Overview — SegmentIQ

📌 About the Dataset

The Mall Customers dataset is a widely-used dataset in customer segmentation research. It was collected from a shopping mall's membership cards and contains demographic and behavioural data of 200 customers.

Source: Kaggle — Mall Customer Segmentation Data
Size: 200 rows × 5 columns
Format: CSV
Target: Unsupervised (no class label)

Why this dataset?
It has clear natural clusters when Annual Income and Spending Score are plotted together — making it ideal for demonstrating K-Means clustering in an educational context.

🗂️ Feature Descriptions

Column	Type	Description
CustomerID	Integer	Unique identifier — dropped before clustering
Gender	String	Male or Female — encoded as binary
Age	Integer	Customer age in years (18–70)
Annual Income	Integer	Annual income in thousands of dollars (15–137)
Spending Score	Integer	Mall-assigned score 1–100 based on purchase behaviour

Clustering Features Used: Annual Income (k$) and Spending Score (1–100) — after StandardScaler normalisation.

🔤 Data Types

Column	Data Type	Category
CustomerID	int64	Numerical
Gender	str	Numerical
Age	int64	Numerical
Annual Income (k$)	int64	Numerical
Spending Score (1-100)	int64	Numerical

🔍 Missing Value Check

Column	Missing Count	Status
CustomerID	0	✅ Clean
Gender	0	✅ Clean
Age	0	✅ Clean
Annual Income (k$)	0	✅ Clean
Spending Score (1-100)	0	✅ Clean

✅ No missing values found. Dataset is complete.

CustomerID	Gender	Age	Annual Income (k$)	Spending Score (1-100)
196	Female	35	120	79
197	Female	45	126	28
198	Male	32	126	74
199	Male	32	137	18
200	Male	30	137	83

📋 Dataset Overview