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.

Source

Supermarket data

Sample dataset of one year hourly basis machine monitor, with the recorded info about failures.

The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (or not) subscribed.

The classification goal is to predict if the client will subscribe a term deposit.

Source

Bank Marketing Data Set at UCI Machine Learning Repository

Stats from etsy.com shops: items, followers, admirers, feedback, open date, sales,...

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Data from 58,000 shops extracted directly from etsy.com using import.io crawler

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

spatialkey datasets

A dataset of steel plates’ faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition.

Source

Steel Plates Faults Data Set at UCI Machine Learning Repository

USA indicators:

- Population (x1000)

New Vehicle Sales ($M)
- Consumer Credit ($B)

New Houses Sales (x1000)
- US Dollar Index

Government Employees (x1000)
- Personal Income ($B)

Avg New House Price ($)
- Industrial Production Index

Civilian Employment-Population ratio

Unemployment rate

Source

Custom Superset created using Quandl

AirBnB rentals in Amsterdam

Source: Inside Airbnb

Data from a semi-conductor manufacturing process

Source SECOM Data Set from UCI