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Supermarket Data aggregated by Customer and info from shops pivoted to new columns.
Pennacchioli, D., Coscia, M., Rinzivillo, S., Pedreschi, D. and Giannotti, F., Explaining the Product Range Effect in Purchase Data. In BigData, 2013.
Model that will predict the quality of risk of a loan application. This dataset was initially created by dr. Hans Hofmann at the Institut fur Statistik und Okonometrie Universitat Hamburg.
The Sales Jan 2009 file contains some “sanitized” sales transactions during the month of January. Below is a sample of a report built in just a couple of minutes using the Blank Canvas app. These 998 transactions are easily summarized and filtered by transaction date, payment type, country, city, and geography
Sample dataset of one year hourly basis machine monitor, with the recorded info about failures.
The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit
Data taken from Dan Misener's KickbackMachine
Netflix's catalog titles created using their OData catalog API at http://developer.netflix.com/docs/oData_Catalog. Great to see that October is the month when everybody gets ready for the Holiday season.