Skip to content
Novus Examples
csv461 B

Alder Books Reconciliation: Trial balance that balances

Trial balance that balances for Alder Books Reconciliation. 9 accounts plus a TOTAL row. Debits and credits each come to 13100.00, so the difference is exactly 0.00. Cash carries 10236.00, which is the closing balance of the bank statement; receivables carry 800.00, which is the aged debtors total; and the two accounts with no movement are reported at 0.00 rather than omitted.

csv

text/csv

461 B
Document Set
accounting
Industry
finance
Source Kit
accounting-reconciliation
Synthetic
true
As Of
2026-09-08
Rows
10

Binary csv: no in-browser preview. Download it above to open in a compatible application.

Specifications

Document Set
accounting
Industry
finance
Source Kit
accounting-reconciliation
Synthetic
true
As Of
2026-09-08
Rows
10
Accounts
9
Debit Total
13100.00
Credit Total
13100.00
Difference
0.00
Zero Balance Accounts
2
Encoding
UTF-8

Testing contract

Expected to pass
Scenario
Load the trial balance and check that total debits equal total credits, then tie the cash line to the bank statement.
Expected result
Debits 13100.00 equal credits 13100.00 exactly. Account 1000 carries 10236.00, matching the closing balance on bank-statement-camt053.xml and the MT940 :62F: field; account 1100 carries 800.00, matching the total on aged-debtors.csv.

What is a .csv file?

CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.

How to use this file

Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.

How to use this file for testing

“Alder Books Reconciliation: Trial balance that balances” 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: 10 rows · UTF-8. 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.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Code examples

import pandas as pd

df = pd.read_csv("trial-balance.csv")
print(df.head())
print(df.dtypes)

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