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Tern Client Services: Sales pipeline workbook

Sales pipeline workbook for Tern Client Services. Two worksheets: Deals (12 rows, the same data as pipeline-export.csv) and By stage (4 rows). The By stage sheet is derived from the Deals sheet, so its amount column sums to the same 34500.00 and its share_of_pipeline_percent column sums to 100.00.

Rendered preview of Tern Client Services: Sales pipeline workbook

Rendered preview of the xlsx file (6.4 KB). Download above for the original.

Specifications

Document Set
professional-services
Industry
professional-services
Source Kit
crm-services
Synthetic
true
As Of
2026-09-08
Sheets
2
Deals
12
Stages
4

Testing contract

Expected to pass
Scenario
Open the workbook and rebuild the By stage sheet from the Deals sheet.
Expected result
Grouping the 12 Deals rows by stage reproduces all 4 By stage rows exactly; the amount column totals 34500.00, the weighted column 15825.00 and the percentage column 100.00.

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

“Tern Client Services: Sales pipeline 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: 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("pipeline-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.