csv33.1 KB
E-commerce Customers (CSV, 500 rows)
A realistic e-commerce customer directory (500 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
Preview — first 50 linescsv
customer_id,name,email,city,country,signup_date
1,Edward Smith,reyespatricia@example.org,North Josephhaven,CU,2024-02-16
2,Ryan Rogers,michael85@example.net,Lake Michelleberg,BH,2023-10-25
3,Maria Brooks,michele55@example.com,South Katherinefurt,GQ,2024-10-31
4,Paul Smith,fcummings@example.net,North Grace,CO,2023-02-20
5,Casey Miller,peter28@example.org,Weaverfurt,BY,2024-06-09
6,William Ewing,moorewilliam@example.net,Webbmouth,FJ,2025-01-02
7,John Parker,hensonsara@example.org,Ashleymouth,NZ,2025-12-17
8,Curtis Leon,collierlawrence@example.org,Juarezport,GM,2025-03-10
9,Connie Roberts,robert67@example.com,Johnsonchester,MU,2025-06-08
10,Alexis Roberts,martinandrew@example.net,Michaelfurt,PT,2025-06-13
11,Anthony Nelson,jordanjohn@example.com,Loritown,TR,2023-11-06
12,Cory Davis,trujillobill@example.net,Williamshaven,GW,2024-06-08
13,Ricky Montoya,garciakevin@example.net,Smithfort,PY,2025-04-23
14,Stephanie Stuart,meganosborn@example.com,Rodriguezbury,PE,2025-09-14
15,Shelby Smith,wharris@example.org,Christopherfort,AR,2025-01-01
16,Heather Reid,christophergreene@example.com,Whitakerville,LT,2024-11-29
17,Lisa Huynh,michael90@example.com,Bonnietown,IN,2024-11-19
18,James Soto,brittanyreeves@example.com,South Christinaborough,MW,2025-06-18
19,Miranda Holmes,smithdaniel@example.org,East Kevin,MT,2025-01-10
20,Jennifer Spencer,craig72@example.org,Nicolefurt,BH,2024-05-01
21,Casey Davis,ymorris@example.net,Sarafort,CL,2024-03-19
22,Mary Gray,ogriffin@example.net,East Jennifer,YE,2025-11-01
23,Jessica Elliott MD,robert30@example.net,Port Amyburgh,CI,2023-06-21
24,Thomas Prince,floresamy@example.net,Mcdonaldview,NL,2023-04-24
25,Russell Ellison,amber39@example.net,East Ericaberg,CV,2023-08-16
26,Nicholas Freeman,rbryan@example.org,Donaldmouth,CG,2025-10-31
27,Nathan Ortiz,rarmstrong@example.net,Lake Laurafort,NI,2023-02-07
28,Ashley Smith,qhammond@example.org,New Jennifer,BF,2025-10-01
29,Jessica Gomez,ntran@example.com,Jonesfort,AO,2023-11-07
30,Theresa Barajas MD,roberthammond@example.net,North Michael,LV,2023-02-15
31,Brian Brooks,shelby94@example.com,Burnsstad,BI,2023-02-17
32,Michael Rice,kaitlynlewis@example.net,Lake Mariah,DJ,2024-06-20
33,Erica Maxwell,christine31@example.net,New Lori,PS,2024-10-28
34,Madison Young,melaniepierce@example.net,Longhaven,UG,2025-05-19
35,John Nelson,aliciawebb@example.net,Jillshire,GW,2025-03-10
36,Connie Wheeler,salinassally@example.org,Beckside,TO,2025-12-15
37,Joel Perez II,omurray@example.com,Walshton,ST,2024-08-01
38,Emily Cox,wblackburn@example.com,Cunninghamchester,HN,2023-05-23
39,John Sheppard,fparks@example.net,Lake Leahborough,SL,2023-03-08
40,Sandy Rodriguez,cody88@example.net,South Danielside,TH,2023-07-24
41,Katherine Coleman,rodriguezrobin@example.com,Lake Jessicashire,CD,2023-03-02
42,Craig Baker,seanacevedo@example.org,Port Bradleytown,CL,2025-05-08
43,Sarah Montgomery,michael31@example.com,Larsonside,AU,2024-09-21
44,Danny Roman,michelle01@example.com,Johnsonmouth,MU,2025-11-19
45,Kenneth Hunt,oballard@example.net,Lindseyborough,FJ,2024-06-03
46,Jonathan Wagner,craig87@example.org,Adamschester,PT,2025-12-27
47,Cynthia Mcclure,langdesiree@example.net,North Zacharyburgh,CI,2025-06-04
48,Michael Rhodes,ukey@example.com,Hicksmouth,MK,2025-07-29
49,Tracy Berger,jennifer04@example.com,Meyersmouth,PW,2024-08-29… 502 lines total — download for the full file.
Specifications
- Rows
- 500
- Columns
- 6
- Schema
- customer_id, name, email, city, country, signup_date
- Domain
- e-commerce
What is a .csv file?
CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.
How to use this file
Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.
Related files
- csvE-commerce Orders (CSV, 2000 rows)A realistic e-commerce order lines (customer_id → customers, product_id → products) (2000 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
- csvE-commerce Products (CSV, 200 rows)A realistic e-commerce product catalogue (200 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
- sqlE-commerce Database Schema (SQL)A relational SQL schema (products, customers, orders with primary and foreign keys) plus sample INSERTs — the DDL twin of the e-commerce dataset, for testing schema import and migrations.
- jsonE-commerce Orders (JSON, 2000 records)The e-commerce orders table as a JSON array — the format twin of the CSV, for import and conversion testing.
- parquetE-commerce Orders (Parquet, 2000 rows)The e-commerce orders table as Apache Parquet — the columnar twin, for testing analytics engines (pandas, DuckDB, Spark).
- jsonE-commerce Products (JSON, 200 records)The e-commerce products table as a JSON array — the format twin of the CSV, for import and conversion testing.
Generated by generation/data_realworld.py. Free for any use, no attribution required — license.