Fieldnote Supply Shop: Tax rate table
Tax rate table for Fieldnote Supply Shop. The 6 rates as both a decimal and a percentage, so a reader can check one against the other. US-NY at 0.08875 is the one that a float round trip most often damages, and it is carried here to five decimal places and as 8.875 percent.
csv
text/csv
- Document Set
- tax
- Industry
- retail
- Source Kit
- retail-commerce
- Entity
- Fieldnote Supply Shop
- 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
- Fieldnote Supply Shop
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 6
- Decimal Places
- 5
- Jurisdictions With Allowance
- 2
Testing contract
Expected to pass- Scenario
- Multiply tax_rate by 100 and compare with rate_as_percent on every row.
- Expected result
- All 6 rows agree to three decimal places of percentage, including 0.08875 and 8.875, and the vendor_allowance_rate column is 0.0000 on the four jurisdictions that offer no discount.
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 Supply Shop: Tax rate table” 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: 6 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("tax-rates.csv")
print(df.head())
print(df.dtypes)Related files
- csvFieldnote Supply Shop: Sales tax payable control accountSales tax payable control account for Fieldnote Supply Shop. The ledger account behind the filing: opening 0.00, credited 96.34 of tax collected, debited 7.46 of tax refunded, leaving 88.88 USD payable at the end of the period. The 0.13 vendor allowance and the 88.75 remittance then clear it to exactly 0.00 on 2026-09-20. The balance after row 3 is the same number the filing worksheet reaches by summing six jurisdictions.
- csvFieldnote Supply Shop: Tax obligation calendarTax obligation calendar for Fieldnote Supply Shop. 10 dated obligations across four regimes and two currencies, in due date order, each with the days from the fixed snapshot and the amount due. The amount column mixes USD and CAD, so it must not be summed without the currency column: doing so gives a meaningless 10399.60.
- csvFieldnote Supply Shop: Tax reconciliation, source against sourceTax reconciliation, source against source for Fieldnote Supply Shop. 7 identities stated as a pair of sources and their values, with the difference computed rather than asserted. Every difference is 0.00, and two of the rows reach across into the wave-one ecommerce set and into the crm-services model, so the file is also a cross-set consistency check.
- csvHarbour Kitchen Group: GST/HST return linesGST/HST return lines for Harbour Kitchen Group. The six return lines as a three-column CSV keyed by the line number the form uses, so a reader can address a value by its line rather than by its position. Line 109 and line 115 both carry 3152.57 CAD because there are no instalments to deduct.
- csvHarbour Kitchen Group: GST/HST return workingsGST/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.
- csvHarbour Kitchen Group: Payroll deduction rates used by the T4 shaped slipsPayroll deduction rates used by the T4 shaped slips for Harbour Kitchen Group. The 5 rates behind every T4 box in this set, with the basis each one is applied to and an explicit statement that no maximum, band or personal exemption is applied. Two rows are multipliers of another row rather than percentages of income, so a reader that treats the rate column as one thing gets the employer lines wrong.
Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.