
This dataset contains transaction-level records exported from a digital payment system, stored in an Excel file (transactions.xlsx). It includes detailed information about customer transactions such as customer IDs, phone numbers, invoice references, partner references, payment channels, transaction notes, categories, journal types, amounts, and timestamps. The dataset consists of one sheet, "transactions", with 24 attributes and multiple transaction rows. Key columns include: Transaction Identifiers: id, reference_number, partner_reference_number, capture_number, receipt_number Customer Information: customer_id, phone_number Transaction Details: note, detail, currency, journal_type, category, status, amount Payment Metadata: channel, channel_reference_number, is_verified, paying_at Audit Trail: created_at, updated_at, created_by Potential Uses: Financial transaction analysis Fraud detection and anomaly detection research Business intelligence and reporting Machine learning experiments on payment behavior Benchmarking digital payment ecosystems File Format: Excel (.xlsx) Keywords:digital payments, transactions, e-wallet, financial data, payment system, fintech, business intelligence, fraud detection
e-wallet, transactions, payment system, fintech, digital payments, business intellegence, financial data
e-wallet, transactions, payment system, fintech, digital payments, business intellegence, financial data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
