_data/retail_customer/meta.md

Column Name	Description	Value Type	Valid Data Regex / Allowed Values
CustomerID	Unique customer identifier	Categorical	CUST\d{3}
Age	Age of the customer in years	Numerical	\d{1,3}
Gender	Gender of the customer	Categorical	Male, Female, Other
Income (Monthly)	Monthly income of the customer	Numerical	\d+(\.\d+)?
Location	Customer's city location	Categorical	Berlin, Hamburg, Cologne, Frankfurt
Purchase Frequency	Number of purchases in a period	Numerical	\d+
Avg. Transaction Value	Average value per transaction	Numerical	\d+(\.\d+)?
Loyalty Program Member	Whether the customer is in loyalty program	Categorical	Yes, No
Tenure (Months)	How long they've been a customer (in months)	Numerical	\d+
Last Purchase Date	Date of the last purchase	Date	\d{4}-\d{2}-\d{2} yyyy-mm-dd
Total Spend (6M)	Total spending in last 6 months	Numerical	\d+(\.\d+)?
Visit Recency (Days)	Days since last visit	Numerical	\d+
Preferred Category	Product category most often purchased	Categorical	Grocery, Home, Beauty, Electronics
Engagement Score	Score representing user interaction	Numerical	\d+(\.\d+)?
Value Score	Score indicating customer value	Numerical	\d+(\.\d+)?
Retention Risk Score	Score estimating likelihood of customer churn	Numerical	\d+(\.\d+)?
Overall Customer Index	Composite score for customer performance	Numerical	\d+(\.\d+)?