Skip to content
Novus Examples
csv1.4 KB

Fieldnote Supply Shop: Order export with a UTF-8 BOM and US dates

Order export with a UTF-8 BOM and US dates for Fieldnote Supply Shop. Identical order data to orders-export.csv, but the file opens with the three bytes EF BB BF and the dates are mm/dd/yyyy. The first header cell is therefore order_id preceded by the BOM, which a reader that does not strip it reports as '\ufeffor der_id' with the BOM glued to the name.

csv

text/csv

1.4 KB
Document Set
ecommerce
Industry
retail
Source Kit
retail-commerce
Synthetic
true
As Of
2026-09-08
Rows
12

Binary csv: no in-browser preview. Download it above to open in a compatible application.

Specifications

Document Set
ecommerce
Industry
retail
Source Kit
retail-commerce
Synthetic
true
As Of
2026-09-08
Rows
12
Encoding
UTF-8 with BOM
Date Format
mm/dd/yyyy
Bom Bytes
EF BB BF

Testing contract

Expected to pass
Scenario
Read the header row with a plain UTF-8 decoder and then with utf-8-sig.
Expected result
The plain decoder yields a first column name carrying U+FEFF, so a lookup for 'order_id' misses; utf-8-sig yields exactly 'order_id' and the remaining 12 names match orders-export.csv.

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.

How to use this file for testing

“Fieldnote Supply Shop: Order export with a UTF-8 BOM and US dates” is a deterministic Novus Examples fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 12 rows · UTF-8 with BOM. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Code examples

import pandas as pd

df = pd.read_csv("orders-export-utf8-bom.csv")
print(df.head())
print(df.dtypes)

Generated by generation/industry_documents.py. Free for any use, no attribution required, license.