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xlsx7.4 KB

Pine Assembly Workshop: Inspection measurement workbook

Inspection measurement workbook for Pine Assembly Workshop. The readings and the characteristics in one workbook, so the limits used by the result column can be checked without opening a second file. Decimal values are held as text at the number of places the gauge reads to, which keeps the trailing zero on a nominal of 700.0 that a numeric cell would drop.

Rendered preview of Pine Assembly Workshop: Inspection measurement workbook

Rendered preview of the xlsx file (7.4 KB). Download above for the original.

Specifications

Document Set
manufacturing
Industry
manufacturing
Source Kit
inventory-manufacturing
Entity
Pine Assembly Workshop
Synthetic
true
As Of
2026-09-08
Sheets
2
Rows
25
Decimals As Text
true

Testing contract

Expected to pass
Scenario
Join the two sheets on characteristic_id and recompute every result.
Expected result
The join resolves all 25 readings and reproduces 2 failures. The nominal on CH-1 reads back as the string 700.0 rather than as a float that loses its last digit.

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 Assembly Workshop: Inspection measurement 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: 25 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("inspection-measurements.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.