Pine Assembly Workshop: Loan summary
Loan summary for Pine Assembly Workshop. The facility terms as a flat object, including the arrangement fee of 480.00 USD with an explicit arrangementFeeIsFinanced flag set to false, so a reader cannot silently add it to the principal. The monthly rate is a string at eight decimal places for the same reason the workbook carries it that way.
json
application/json
- Document Set
- banking
- Industry
- finance
- Source Kit
- accounting-reconciliation
- Entity
- Pine Assembly Workshop
- 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
- Pine Assembly Workshop
- Synthetic
- true
- As Of
- 2026-09-08
- Keys
- 19
- Arrangement Fee Financed
- false
- Monthly Rate Decimal Places
- 8
Testing contract
Expected to pass- Scenario
- Rebuild the schedule from this object alone and compare the closing balance and total interest with loan-amortisation-schedule.csv.
- Expected result
- The rebuild gives 5276.66 of interest and a closing balance of 0.00. Adding the arrangement fee to the principal instead would raise the level payment and break both, which is why the flag is explicit.
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
“Pine Assembly Workshop: Loan summary” 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 · 705 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("loan-summary.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.