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."
1 |
A data frame with 2466 rows and 12 variables:
countryCodeinteger: country identifier
customerIDcharacter: customer identifier
PaperlessDatecharacter: date the company began paperless billing
invoiceNumbercharacter: invoice identifier
InvoiceDatecharacter: date of invoice
DueDatecharacter: day payment due
InvoiceAmountdouble: amount of invoice, in $
Disputedcharacter: Yes if invoice was disputed; No otherwise.
SettledDatecharacter: Date that invoice was paid or settled.
PaperlessBillcharacter: Paper if a hard copy of the invoice was sent; Electronic otherwise
DaysToSettleinteger: number of days required to settle the invoice
DaysLateinteger: number of days late the invoice was
https://www.ibm.com/communities/analytics/watson-analytics-blog/guide-to-sample-datasets/
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.