Smart Cart ML - Dataset and featuers preperation

[falah2001]

Included files:

1. User Creation

• Generate synthetic user profiles (user_id, demographics, income, dietary preference, location).
• Ensure realistic distribution (e.g., 30% health-conscious, 20% budget-focused).
• Required: Null
• Deliverable: users.csv.

2. Transaction Simulation

• Simulate shopping baskets influenced by preferences.
• Randomized transaction dates across 3 year.
• Assign transaction_id, user_id, product_code, transaction_date, transaction_price.
• Required: Products.csv. Handled by other group member
• Deliverable: transactions.csv.

3. Behavioral & Product Relationships

• Co-purchase analysis (products that appear together in baskets).
• Behavioral metrics per user: Loyalty (repeat % with same product) and Switching tendency (category hopping).
• Required: trans_with_promotions.csv. Handled by other group member
• Deliverable: behavioral_relationships.csv.

4. Visualization

• Static charts (Seaborn/Matplotlib): histograms of spend, frequency.
• Interactive dashboards (Plotly): Transactions by month (seasonality impact). Spend by demographic group. Co-purchase networks.
• Required: trans.csv
• Deliverable: Interactive dashboard notebook.