Dataset Viewer
Auto-converted to Parquet Duplicate
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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