Agricultural Procurement and Payments Dataset
Compare purchased crop quantities, grades, prices and supplier payments.
A practical workbook exercise for procurement leads and agribusiness finance. Work from the underlying records, compare the relevant totals and explain how you reached your result.
About the dataset
This original synthetic dataset contains 560 source records across three related tables. The records are fictional and designed for descriptive business analysis.
Dataset details
| Industry | Agriculture and agribusiness |
| Formats | Excel workbook and CSV files |
| Source records | 560 |
| Related tables | 3 |
| Fields across table schemas | 15 |
| Reporting cutoff | September 30, 2026 |
| Currency | USD for monetary fields |
| Source | Original synthetic data created for Jolene.pro Workbook Studies |
What's included
- Suppliers: 20 records and 4 fields. One fictional grower or supplier.
- Receipts: 300 records and 7 fields. One weighed crop receipt.
- Payments: 240 records and 4 fields. One payment assigned to a crop receipt.
Recommended analysis
- How do weighted purchase prices vary by crop and grade?
- Which suppliers have unpaid received goods?
- How does grade mix affect an overall price comparison?
- How much cash was paid by September 30?
How to work with the data
Use the following relationships to connect the source tables:
- Receipts.supplier_id → Suppliers.supplier_id
- Payments.receipt_id → Receipts.receipt_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
- Use quantity-weighted unit prices within comparable crops and grades.
- Receipt value = kilograms × USD/kg. No moisture adjustments, tax splits or delivery deductions are 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.