Field Equipment Rental Billing Dataset
Check rental day counts, recorded utilization and invoice value.
A practical workbook exercise for project finance and equipment coordinators. Work from the underlying records, compare the relevant totals and explain how you reached your result.
About the dataset
This original synthetic dataset contains 270 source records across three related tables. The records are fictional and designed for descriptive business analysis.
Dataset details
| Industry | Oil and gas services |
| Formats | Excel workbook and CSV files |
| Source records | 270 |
| Related tables | 3 |
| Fields across table schemas | 13 |
| Reporting cutoff | September 30, 2026 |
| Currency | USD for monetary fields |
| Source | Original synthetic data created for Jolene.pro Workbook Studies |
What's included
- Assets: 30 records and 3 fields. One rental asset with a fixed USD daily rate.
- Rentals: 120 records and 5 fields. One completed rental interval.
- Invoices: 120 records and 5 fields. One invoice for a completed rental.
Recommended analysis
- Do invoice amounts match inclusive rental days?
- Which equipment types have the highest recorded utilization?
- How much billing remains open?
- Are any rental periods overlapping for the same asset?
How to work with the data
Use the following relationships to connect the source tables:
- Rentals.asset_id → Assets.asset_id
- Invoices.rental_id → Rentals.rental_id
Check the row grain before joining. Aggregate repeated child records to the required level before combining totals, so parent amounts are not counted more than once.
You can explore the workbook in Excel or Jolene.pro, or use the CSV files with SQL, Power BI and other analysis tools.
Definitions and assumptions
- Count both start and end dates as chargeable rental days. Asset rental periods do not overlap.
- Utilization denominator is 92 calendar days, July 1 through September 30, per asset. No maintenance availability adjustment is modeled.
Use the field definitions and nullable-column guidance in the included data dictionary. Interpret blank values and reporting dates according to the scenario notes.
Downloads
The complete dataset ZIP includes the Excel workbook, three matching CSV files, a data dictionary, scenario notes, a source-row preview and license details.
Reuse and attribution
These are synthetic records, not customer data or industry benchmarks. Reuse is allowed under Creative Commons Attribution 4.0 International (CC BY 4.0). Credit Jolene.pro and identify any changes you make.