Skip to content
Novus Examples
xlsx13 KB

Alder Books Reconciliation: Month-end ledger pack workbook

Month-end ledger pack workbook for Alder Books Reconciliation. Five worksheets: Chart of accounts (9 rows), General ledger (66), Trial balance (10), Bank statement (24) and Aged debtors (9). The trial balance sheet totals 13100.00 on each side and the bank statement sheet closes on the same cash figure.

Rendered preview of Alder Books Reconciliation: Month-end ledger pack workbook

Rendered preview of the xlsx file (13 KB). Download above for the original.

Specifications

Document Set
accounting
Industry
finance
Source Kit
accounting-reconciliation
Synthetic
true
As Of
2026-09-08
Sheets
5
Rows
118

Testing contract

Expected to pass
Scenario
Open the workbook and reconcile the trial balance sheet against the general ledger sheet without leaving the file.
Expected result
Summing the debit and credit columns of the General ledger sheet gives 22464.00 each; netting them per account reproduces the Trial balance sheet, whose TOTAL row reads 13100.00 on both sides; and the cash account 10236.00 equals the last balance on the Bank statement sheet.

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

“Alder Books Reconciliation: Month-end ledger pack 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: 118 rows · 5 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("ledger-pack.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.