Harbour Kitchen Group: GST/HST return workings
GST/HST return workings for Harbour Kitchen Group. Every source record behind the return: 56 sales rows tagged to line 105 and 24 purchase rows tagged to line 108, 80 rows in all. Taxing each row and adding gives 3407.94 and 255.23, which are 0.12 and -0.02 away from the 3407.82 and 255.25 on the return, because the return taxes the period total once and this file taxes every row and then adds.
csv
text/csv
- Document Set
- tax
- Industry
- retail
- Source Kit
- retail-commerce
- Entity
- Harbour Kitchen Group
- Synthetic
- true
- As Of
- 2026-09-08
Binary csv: no in-browser preview. Download it above to open in a compatible application.
Specifications
- Document Set
- tax
- Industry
- retail
- Source Kit
- retail-commerce
- Entity
- Harbour Kitchen Group
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 80
- Sales Rows
- 56
- Purchase Rows
- 24
- Per Row Line105
- 3407.94
- Return Line105
- 3407.82
- Per Row Line108
- 255.23
- Return Line108
- 255.25
- Rounding Order
- return rounds once on the period total
Testing contract
Expected to pass- Scenario
- Group by return_line, sum tax_cad and compare with the return.
- Expected result
- Line 105 comes to 3407.94 per row against 3407.82 on the return, and line 108 to 255.23 against 255.25. The differences are pure rounding order: rounding each of 80 rows and adding is not the same as adding first and rounding once, and the return states which it does.
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
“Harbour Kitchen Group: GST/HST return workings” is a deterministic Novus Examples fixture for Data import, CSV parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: 80 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("gst-hst-workings.csv")
print(df.head())
print(df.dtypes)Related files
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Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.