Dataset Examples
Retail Sales Transactions: This dataset includes individual retail store or chain sales transactions. It typically contains transaction ID, customer ID, product ID, quantity, price, and timestamp.
| Transaction ID | Customer ID | Product | Quantity | Price | Timestamp |
|---|---|---|---|---|---|
T001 | C001 | Apple iPhone X | 5 | $10.99 | 2023-05-10 10:30:15 |
T002 | C002 | Samsung Galaxy S9 | 3 | $24.99 | 2023-05-10 14:45:21 |
T003 | C003 | HP Printer | 2 | $5.99 | 2023-05-11 09:12:33 |
Financial Transactions: This dataset consists of financial transactions from banks or credit card companies. It includes transaction ID, account number, transaction type, amount, merchant information, and timestamp.
| Transaction ID | Account Number | Transaction Type | Amount | Merchant | Timestamp |
|---|---|---|---|---|---|
T001 | A123456 | Deposit | $100.00 | XYZ Bank | 2023-05-10 08:15:30 |
T002 | B987654 | Withdrawal | -$50.00 | ABC Store | 2023-05-10 15:20:45 |
T003 | C246810 | Transfer | $250.00 | Online Shopping | 2023-05-11 11:05:12 |
Online Marketplace Transactions: This dataset contains transactions from an online marketplace like Amazon, eBay, or Alibaba. It includes transaction ID, buyer/seller ID, product ID, quantity, price, shipping details, and timestamps.
| Transaction ID | Buyer | Seller | Product | Quantity | Price | Shipping Details | Timestamp |
|---|---|---|---|---|---|---|---|
T001 | John Doe | SellerA | Book | 1 | $19.99 | Address1, City1, State1 | 2023-05-10 13:45:27 |
T002 | Jane Smith | SellerB | Smartphone | 2 | $49.99 | Address2, City2, State2 | 2023-05-10 16:20:10 |
T003 | Mark Johnson | SellerC | Headphones | 3 | $9.99 | Address3, City3, State3 | 2023-05-11 10:05:55 |
E-commerce Order Transactions: This dataset focuses on transactions from an e-commerce website. It includes data such as order ID, customer ID, product ID, quantity, price, shipping information, payment details, and timestamps.
| Order ID | Customer | Product | Quantity | Price | Shipping Information | Payment Details | Timestamp |
|---|---|---|---|---|---|---|---|
O001 | John Doe | Apple iPhone X | 2 | $29.99 | Address1, City1, State1 | Credit Card | 2023-05-10 11:30:45 |
O002 | Jane Smith | Samsung Galaxy S9 | 1 | $14.99 | Address2, City2, State2 | PayPal | 2023-05-10 17:15:20 |
O003 | Mark Johnson | HP Printer | 4 | $39.99 | Address3, City3, State3 | Credit Card | 2023-05-11 08:45:10 |
Travel Booking Transactions: This dataset comprises transactions from a travel booking website or agency. It includes booking ID, traveler details, flight/hotel ID, dates, prices, payment information, and timestamps.
| Booking ID | Traveler | Flight | Hotel | Dates | Price | Payment Information | Timestamp |
|---|---|---|---|---|---|---|---|
B001 | John Doe | Flight 123 | Hotel ABC | 2023-06-15 - 2023-06-20 | $500.00 | Credit Card | 2023-05-10 09:30:15 |
B002 | Jane Smith | Flight 456 | Hotel XYZ | 2023-07-01 - 2023-07-10 | $750.00 | PayPal | 2023-05-11 14:20:30 |
B003 | Mark Johnson | Flight 789 | Hotel PQR | 2023-08-10 - 2023-08-15 | $600.00 | Credit Card | 2023-05-12 11:45:55 |
Stock Market Transactions: This dataset involves transactions from stock exchanges. It includes details like trade ID, stock symbol, buy/sell order, quantity, price, trader information, and timestamps.
| Transaction ID | Stock Symbol | Buy/Sell | Quantity | Price | Trader | Timestamp |
|---|---|---|---|---|---|---|
T001 | AAPL | Buy | 100 | $150.50 | John Doe | 2023-05-10 09:30:15 |
T002 | GOOGL | Sell | 50 | $2500.00 | Jane Smith | 2023-05-10 11:15:45 |
T003 | MSFT | Buy | 75 | $180.75 | Mark Johnson | 2023-05-10 14:40:20 |
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