Description Usage Format Source
simulated data from IBM Watson about "Understand "the factors of successful collection efforts. You can Predict which customers will pay fastest and recover more money and improve collections efficiency."
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A data frame with 2466 rows and 12 variables:
countryCode
integer: country identifier
customerID
character: customer identifier
PaperlessDate
character: date the company began paperless billing
invoiceNumber
character: invoice identifier
InvoiceDate
character: date of invoice
DueDate
character: day payment due
InvoiceAmount
double: amount of invoice, in $
Disputed
character: Yes if invoice was disputed; No otherwise.
SettledDate
character: Date that invoice was paid or settled.
PaperlessBill
character: Paper if a hard copy of the invoice was sent; Electronic otherwise
DaysToSettle
integer: number of days required to settle the invoice
DaysLate
integer: number of days late the invoice was
https://www.ibm.com/communities/analytics/watson-analytics-blog/guide-to-sample-datasets/
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