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xlsx5.9 KB

Fieldnote Supply Shop: Order export workbook

Order export workbook for Fieldnote Supply Shop. One worksheet named Orders with a header row and 12 data rows carrying the same values as orders-export.csv. Numeric columns are stored as text so the 5-decimal tax_rate and the leading-zero-free ids survive a round trip unchanged.

Rendered preview of Fieldnote Supply Shop: Order export workbook

Rendered preview of the xlsx file (5.9 KB). Download above for the original.

Specifications

Document Set
ecommerce
Industry
retail
Source Kit
retail-commerce
Synthetic
true
As Of
2026-09-08
Sheets
1
Rows
12
Columns
13

Testing contract

Expected to pass
Scenario
Open the workbook and compare its single sheet against orders-export.csv row by row.
Expected result
Sheet Orders has 13 rows and 13 columns; every cell matches the CSV of the same name, including tax_rate values such as 0.08875 that a float column would round.

What is a .xlsx file?

XLSX is the default Microsoft Excel format, an Office Open XML spreadsheet stored as a ZIP archive containing worksheet XML, shared strings, styles, and formulas. It supports multiple sheets, cell formatting, charts, and calculated values. It is the standard for editable tabular workbooks.

How to use this file

Use an example XLSX to test spreadsheet parsing, formula and multi-sheet handling, shared-string extraction, and pipelines that read or generate Excel workbooks.

How to use this file for testing

“Fieldnote Supply Shop: Order export workbook” 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 · 13 columns · 1 sheets. 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.

Document fixtures list their internal structure (pages, fields, tracked changes, embedded objects) in the spec table. Test extractors, converters, and OCR against that known structure, and compare searchable↔scanned or format-twin companions when present.

Code examples

from openpyxl import load_workbook

wb = load_workbook("orders-export.xlsx")
ws = wb.active
print(ws.title, ws.max_row, ws.max_column)

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