Pine Property Services: Application for payment whose retainage was withheld at the wrong rate
Application for payment whose retainage was withheld at the wrong rate for Pine Property Services. The same nine lines as application-for-payment-002-summary.csv, but lines 5a and 5b were computed at 5 percent while their own descriptions still read 10 percent. Retainage reads 162.40 instead of 324.80, so the current payment due on line 8 reads 1744.60 against the correct 1582.20, 162.40 too much.
csv
text/csv
- Document Set
- construction
- Industry
- trades-property
- Source Kit
- trades-property
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 11
Binary csv: no in-browser preview. Download it above to open in a compatible application.
Specifications
- Document Set
- construction
- Industry
- trades-property
- Source Kit
- trades-property
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 11
- Stated Rate
- 0.10
- Rate Applied
- 0.05
- Stated Payment Due Usd
- 1744.60
- Correct Payment Due Usd
- 1582.20
- Overstatement Usd
- 162.40
- Intentionally Invalid
- true
Testing contract
Expected to fail- Scenario
- Recompute lines 5a and 5b from the rate their own descriptions state and check line 8.
- Expected result
- Line 5a states 10 percent of 3108.00, which is 310.80, but carries 155.40. Line 8 is therefore 162.40 overstated. Every other line still adds up, so line-by-line arithmetic checks pass and only a check against the stated rate catches it; the contractor is paid 162.40 of money the contract says is retained.
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
“Pine Property Services: Application for payment whose retainage was withheld at the wrong rate” is a deterministic Novus Examples fixture for Data import, Error handling. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: 11 rows. 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("application-for-payment-002-retainage-rate.csv")
print(df.head())
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