Alder Books Reconciliation: Banking reconciliation identities
Banking reconciliation identities for Alder Books Reconciliation. 5 named identities covering the amortisation, the unfinanced arrangement fee, the covenant directions, the direct debit control sum and the two different chargeback totals, with the figures behind each. The deliberate defect and its measured 36.15 USD closing balance are listed separately.
json
application/json
- Document Set
- banking
- Industry
- finance
- Source Kit
- accounting-reconciliation
- Entity
- Alder Books Reconciliation
- Synthetic
- true
- As Of
- 2026-09-08
Binary json: no in-browser preview. Download it above to open in a compatible application.
Specifications
- Document Set
- banking
- Industry
- finance
- Source Kit
- accounting-reconciliation
- Entity
- Alder Books Reconciliation
- Synthetic
- true
- As Of
- 2026-09-08
- Identities
- 5
- Currencies
- 2
- Defects Listed
- 1
Testing contract
Reference control- Scenario
- Use this file as the expected-value table when testing a reader against the rest of the set.
- Expected result
- Every figure here is reproduced by at least two other files in the directory, and the deliberateDefects array names the single invalid file, its 36.15 USD closing balance and the 3.49 USD by which it overstates interest.
What is a .json file?
JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.
How to use this file
Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.
How to use this file for testing
“Alder Books Reconciliation: Banking reconciliation identities” is a deterministic Novus Examples fixture for Data import, JSON parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: JSON · 2,186 bytes. 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 json
with open("banking-reconciliation.json") as f:
data = json.load(f)
print(type(data), len(data))Related files
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Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.