FuelWatch Data Package — public synthetic sample
Generated: 2026-10-08T00:00:00.000Z

This example uses the same historical-package exporter as the fuel data store.
Every observation, date, station/supplier name, address and coordinate is invented.
It demonstrates file structure only, not actual market prices or coverage.

Contents
- FuelWatch_Data_Package_Sample.csv: eight detailed observation rows and 23 columns.
- FuelWatch_Data_Package_Sample.xlsx: the same eight observations, plus eight worksheets:
  Summary; Basket; Observations; Monthly statistics; Fortnightly statistics; Latest station prices; Sources; Read me.

Example basket
- Petrol pump prices: April and September 2026 (five invented observations, two fictional stations).
- Home Oil (delivered kerosene): September 2026 (three invented quotations from one fictional supplier).
- Both 500-litre and 1,000-litre quotations are illustrated.
- Three distinct fuel-category/month selections illustrate a EUR 297 one-time price. This is not an order or payment.

CSV and Excel repeat the same eight observations; they do not add separate records.
The workbook adds sample summaries and the latest observation per station within this example selection.
Monthly and fortnightly statistics describe the example observations only. They are not national benchmarks.
Fuel grades, pump/delivered prices, currency, delivery volume and tax basis remain separate.
Unknown tax treatment is labelled Unknown. Missing values are blank; no prices are filled in.
Pump report dates use Dublin day precision; supplier examples include collection timestamps.
No real contributor, customer, private database identifier, credential or actual market observation is included.

Reproduce from the repository root:
node scripts/data-reports/generate-store-sample.mjs
The fictional inputs and generation/capture date are fixed. XLSX container timestamps can vary across runs.