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Pine Property Services: Rent roll workbook

Rent roll workbook for Pine Property Services. A two-sheet workbook holding the rent roll and the area schedule. The two sheets carry the same six areas, so the building area check can be run within the workbook: both sum to 1200.00 sq m.

Rendered preview of Pine Property Services: Rent roll workbook

Rendered preview of the xlsx file (6.6 KB). Download above for the original.

Specifications

Document Set
property
Industry
trades-property
Source Kit
trades-property
Entity
Pine Property Services
Synthetic
true
As Of
2026-09-08
Sheets
2
Rows
6
Building Area
1200.00

Testing contract

Expected to pass
Scenario
Sum the area column on both sheets and compare them with each other and with the building area on the rent roll sheet.
Expected result
Both sheets sum to 1200.00, which is the building_area_sq_m value on every rent roll row. The broken variant in this directory fails that comparison by 18.50 sq m.

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

“Pine Property Services: Rent roll 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: 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.

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("rent-roll.xlsx")
ws = wb.active
print(ws.title, ws.max_row, ws.max_column)

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