Python Data Structures for Customer Analytics

Experiment 5: Customer Analytics Database

This Python experiment demonstrates the practical application of core data structures: Tuples, Lists, Sets, and Dictionaries to build a basic Customer Analytics System.

# Experiment Code:
# Tuple: Fixed dataset structure (immutable)
dataset_schema = ("CustomerID", "Name", "PurchaseAmount", "Segment")
# List: Stores purchase amounts (mutable, ordered)
purchase_amounts = []
# Set: Stores unique customer IDs
unique_customers = set()
# Dictionary: Stores complete customer records
customer_records = {}

while True:
    print("\n--- Menu Customer Analytics ---")
    print("1. Add Customer Data")
    print("2. View Purchase Amounts (List)")
    print("3. View Dataset Schema (Tuple)")
    print("4. View Unique Customers (Set)")
    print("5. View Customer Records (Dictionary)")
    print("6. Remove Duplicate Purchases using Set")
    print("7. Exit")
    choice = int(input("Enter your choice: "))
    # -------- LIST + SET + DICTIONARY --------
    if choice == 1:
        cid = input("Enter Customer ID: ")
        name = input("Enter Customer Name: ")
        amount = float(input("Enter Purchase Amount: "))
        purchase_amounts.append(amount)
        unique_customers.add(cid)
        if amount >= 5000:
            segment = "Premium"
        elif amount >= 2000:
            segment = "Gold"
        else:
            segment = "Regular"
        customer_records[cid] = {
            "Name": name,
            "Purchase": amount,
            "Segment": segment
        }
        print("Customer data added successfully.")
    # -------- LIST --------
    elif choice == 2:
        print("\nPurchase Amounts (List):", purchase_amounts)
        if purchase_amounts:
            print("Total Sales:", sum(purchase_amounts))
            print("Average Sales:", sum(purchase_amounts) / len(purchase_amounts))
    # -------- TUPLE --------
    elif choice == 3:
        print("\nDataset Schema (Tuple - Immutable):")
        for field in dataset_schema:
            print(field)
    # -------- SET --------
    elif choice == 4:
        print("\nUnique Customers (Set):", unique_customers)
        print("Total Unique Customers:", len(unique_customers))
    # -------- DICTIONARY --------
    elif choice == 5:
        print("\nCustomer Records (Dictionary):")
        for cid, details in customer_records.items():
            print(cid, "=>", details)
    # -------- SET OPERATION --------
    elif choice == 6:
        unique_purchases = set(purchase_amounts)
        print("\nOriginal Purchase List:", purchase_amounts)
        print("After Removing Duplicates (Set):", unique_purchases)
    elif choice == 7:
        print("Exiting Customer Analytics System...")
        break
    else:
        print("Invalid choice! Please try again.")