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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.
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.
Predict a country by how much they spend on food and alcohol. Data taken from the USDA
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
Source: 50000 ebooks for Kindle from Amazon.com
Based on data from the Census of Agriculture Race, Ethnicity and Gender Profile Data
The model analyses non-economical characteristics (operators group, average operators number, acres, years of production, age of operators) of farms by regions and their correlation to their average net income.