Harbour Kitchen Group — Editable operating workbook
Editable operating workbook for Harbour Kitchen Group. Native sheets preserve 369 source records, 4 calculated headline metrics and one editable chart. Supplier spend=7,897.76 CAD; Net menu sales=26,214.00 CAD; Menu items sold=1,764.00 items; Guest reviews=18.00 records. The first worksheet holds 96 compatible purchase rows.
Rendered preview of the xlsx file (58.4 KB). Download above for the original.
Specifications
- Kit
- restaurant-group
- Industry
- food-service
- Schema Version
- 1
- Synthetic
- true
- As Of
- 2026-09-08
- Source Tables
- 18
- Charts
- 1
Testing contract
Expected to pass- Scenario
- Use editable operating workbook in the Harbour Kitchen Group purchasing, price-history, menu-costing, inventory, sales, reviews, modifiers, refunds, reservations, staffing, stock-movements, menu-pricing workflow.
- Expected result
- Native sheets preserve 369 source records, 4 calculated headline metrics and one editable chart. Supplier spend=7,897.76 CAD; Net menu sales=26,214.00 CAD; Menu items sold=1,764.00 items; Guest reviews=18.00 records. The first worksheet holds 96 compatible purchase rows.
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
“Harbour Kitchen Group — Editable operating 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: XLSX · 59,780 bytes. 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.
This template ships filled with realistic sample content and documented fields and formulas. Download it as a starting point, or point a converter/parser at it, format twins (for example DOCX↔PDF) let you diff conversion fidelity.
Code examples
from openpyxl import load_workbook
wb = load_workbook("operations.xlsx")
ws = wb.active
print(ws.title, ws.max_row, ws.max_column)Related files
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Generated by generation/business_fixtures.py. Free for any use, no attribution required, license.