Juniper Corner Cafe: Inventory variance workbook with live formulas
Inventory variance workbook with live formulas for Juniper Corner Cafe. 6 ingredients over two sheets. Theoretical closing, the variance quantity, the variance priced at standard cost, the below-par flag and the total are formulas. Theoretical usage is built from the sales table multiplied by the yield-adjusted recipe quantities, so it already carries the yield adjustment.
Rendered preview of the xlsx file (6.8 KB). Download above for the original.
Specifications
- Kit
- restaurant-cafe
- Industry
- food-service
- Schema Version
- 1
- Synthetic
- true
- As Of
- 2026-09-08
- Currency
- CAD
- Period Start
- 2026-08-20
- Period End
- 2026-09-02
- Sheets
- 2
- Rows
- 6
- Cached Values
- false
Testing contract
Expected to pass- Scenario
- Use inventory variance workbook with live formulas in the Juniper Corner Cafe costing and daily operations workflow.
- Expected result
- 6 ingredients over two sheets. Theoretical closing, the variance quantity, the variance priced at standard cost, the below-par flag and the total are formulas. Theoretical usage is built from the sales table multiplied by the yield-adjusted recipe quantities, so it already carries the yield adjustment.
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
“Juniper Corner Cafe: Inventory variance workbook with live formulas” is a deterministic Novus Examples fixture for Spreadsheet testing, Data import. Multi-sheet workbooks with documented formulas and plain sheets for testing spreadsheet parsers and importers.
Documented properties for this file: 6 rows · 2 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.
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("inventory-variance.xlsx")
ws = wb.active
print(ws.title, ws.max_row, ws.max_column)Related files
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Generated by generation/restaurant_costing.py. Free for any use, no attribution required, license.