product_id int64 1 50 | product_name stringlengths 9 24 | category stringclasses 5
values | price float64 17.4 900 |
|---|---|---|---|
1 | Air Fryer 386 | Home & Kitchen | 497.31 |
2 | Coffee Maker 696 | Home & Kitchen | 17.43 |
3 | Wireless Mouse 207 | Electronics | 520.64 |
4 | Yoga Mat 310 | Sports | 832.02 |
5 | Cycling Helmet 111 | Sports | 272.06 |
6 | Baseball Cap 239 | Apparel | 489.12 |
7 | Robot Vacuum 897 | Home & Kitchen | 349.98 |
8 | Laptop 161 | Electronics | 793.11 |
9 | Cycling Helmet 254 | Sports | 611 |
10 | Yoga Mat 886 | Sports | 771.76 |
11 | Smartphone 896 | Electronics | 872.63 |
12 | Robot Vacuum 592 | Home & Kitchen | 175.95 |
13 | Hoodie 329 | Apparel | 197.8 |
14 | Programming Book 657 | Books | 480.85 |
15 | Jeans 139 | Apparel | 189.61 |
16 | Winter Jacket 356 | Apparel | 577.36 |
17 | Yoga Mat 352 | Sports | 247.57 |
18 | Smartphone 360 | Electronics | 551.71 |
19 | Winter Jacket 383 | Apparel | 580.88 |
20 | Air Fryer 205 | Home & Kitchen | 780.61 |
21 | Coffee Maker 371 | Home & Kitchen | 162.36 |
22 | Smartwatch 347 | Electronics | 215.66 |
23 | Cloud Computing Book 494 | Books | 288.04 |
24 | Fitness Tracker 830 | Sports | 327.8 |
25 | Yoga Mat 587 | Sports | 109.75 |
26 | Jeans 332 | Apparel | 674.42 |
27 | Hoodie 793 | Apparel | 421.56 |
28 | Dumbbells 785 | Sports | 49.78 |
29 | Yoga Mat 734 | Sports | 350.65 |
30 | Yoga Mat 726 | Sports | 190.32 |
31 | Yoga Mat 872 | Sports | 864.09 |
32 | Coffee Maker 540 | Home & Kitchen | 897.29 |
33 | Coffee Maker 122 | Home & Kitchen | 823.6 |
34 | Cloud Computing Book 262 | Books | 159.07 |
35 | Jeans 302 | Apparel | 754.43 |
36 | Smart Lamp 727 | Home & Kitchen | 671.35 |
37 | Smartwatch 498 | Electronics | 843.24 |
38 | Tablet 513 | Electronics | 309.06 |
39 | Fitness Tracker 261 | Sports | 644.36 |
40 | Memory Foam Pillow 257 | Home & Kitchen | 899.98 |
41 | Smartwatch 340 | Electronics | 226.19 |
42 | Air Fryer 259 | Home & Kitchen | 382.82 |
43 | Laptop 983 | Electronics | 255.29 |
44 | Laptop 100 | Electronics | 481.24 |
45 | Blender 409 | Home & Kitchen | 320.12 |
46 | Memory Foam Pillow 560 | Home & Kitchen | 734.15 |
47 | Cloud Computing Book 402 | Books | 705.15 |
48 | Yoga Mat 314 | Sports | 620.68 |
49 | Winter Jacket 477 | Apparel | 305.17 |
50 | T-Shirt 404 | Apparel | 160.86 |
Synthetic E-commerce Dataset - Free Sample
This repository contains a free sample of the Synthetic E-commerce Dataset: 100 users, 50 products, 1,000 transactions, with full relational integrity (foreign keys, temporal consistency, validated business rules) and a fixed random seed (42) for reproducibility.
License below (CC0) applies only to this free sample, not to the full-size commercial packs.
Formats
- CSV
- Apache Parquet
Schema
users: user_id, full_name, email, country, city, currency, signup_date
products: product_id, product_name, category, price
transactions: transaction_id, user_id, product_id, purchase_date, quantity, unit_price, subtotal, discount_percentage, discount_amount, total_amount, currency, country, payment_method, payment_status, order_status, device_type, discount_code, shipping_address
Quick start
import pandas as pd
users = pd.read_parquet("users.parquet")
products = pd.read_parquet("products.parquet")
transactions = pd.read_parquet("transactions.parquet")
result = transactions.merge(users, on="user_id").merge(products, on="product_id")
print(result.head())
Complete Dataset
The commercial package contains:
- 1,000 transactions
- 50,000 transactions
- 500,000 transactions
Each size also includes its own users and products tables. Full-size packs are available for purchase on Gumroad: https://bergese4.gumroad.com/l/synthetic_e-commerce_dataset
All data is completely synthetic. No real customer information is included.
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