Cobalt Operations Team: Payroll register whose deductions do not reconcile to net pay
Payroll register whose deductions do not reconcile to net pay for Cobalt Operations Team. The same 8 employees as payroll-register.csv except that net_pay for EMP-05 was computed before the pension deduction was applied. That row reads gross 1176.00, total_deductions 312.48 and net_pay 922.32, which is 58.80 more than gross less deductions. The TOTAL row was updated to match the column, so it reads 6708.24 against the correct 6649.44, and the file is internally consistent column-wise while being wrong row-wise.
csv
text/csv
- Document Set
- payroll
- Industry
- people-operations
- Source Kit
- people-operations
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 9
Binary csv: no in-browser preview. Download it above to open in a compatible application.
Specifications
- Document Set
- payroll
- Industry
- people-operations
- Source Kit
- people-operations
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 9
- Offending Employee
- EMP-05
- Stated Net Usd
- 922.32
- Correct Net Usd
- 863.52
- Difference Usd
- 58.80
- Stated Total Net Usd
- 6708.24
- Correct Total Net Usd
- 6649.44
- Intentionally Invalid
- true
Testing contract
Expected to fail- Scenario
- Check gross_pay minus total_deductions against net_pay on every row, then check the TOTAL row against the column sums.
- Expected result
- Seven rows reconcile. EMP-05 does not: 1176.00 less 312.48 is 863.52, but the row states 922.32, an excess of 58.80, which is exactly the 0.05 pension deduction shown in the pension_employee column of the same row. The TOTAL row still adds up down every column, so a footer check passes and only the per-row identity catches it. The bank file would be 58.80 over.
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
“Cobalt Operations Team: Payroll register whose deductions do not reconcile to net pay” 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: 9 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("payroll-register-deductions-mismatch.csv")
print(df.head())
print(df.dtypes)Related files
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