Fieldnote Learning Centre: Invoice register where a bursary exceeds the fee it is set against
Invoice register where a bursary exceeds the fee it is set against for Fieldnote Learning Centre. The same 18 invoices, except that the award on ENR-03 was entered as 350.00 against a 225.00 fee. net_payable on that row reads -125.00, a negative amount, and the net column totals 4205.00 instead of 4442.50. The award is 125.00 larger than the fee it can be applied to.
csv
text/csv
- Document Set
- education
- Industry
- education
- Source Kit
- education-training
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 18
Binary csv: no in-browser preview. Download it above to open in a compatible application.
Specifications
- Document Set
- education
- Industry
- education
- Source Kit
- education-training
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 18
- Offending Enrolment
- ENR-03
- Gross Fee Usd
- 225.00
- Bursary Usd
- 350.00
- Excess Usd
- 125.00
- Stated Net Total Usd
- 4205.00
- Correct Net Total Usd
- 4442.50
- Intentionally Invalid
- true
Testing contract
Expected to fail- Scenario
- Check that every bursary_amount is no greater than the gross_fee on the same row, then total the net column.
- Expected result
- 17 rows pass. ENR-03 fails: its bursary of 350.00 exceeds its 225.00 fee by 125.00, producing a net_payable of -125.00. A ledger that accepts it books a credit the learner never paid for, and the register total falls 125.00 short at 4205.00.
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
“Fieldnote Learning Centre: Invoice register where a bursary exceeds the fee it is set against” 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: 18 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("invoice-register-bursary-exceeds-fee.csv")
print(df.head())
print(df.dtypes)Related files
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