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.

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Supermarket data

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

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spatialkey datasets

Contiene datos de una encuesta sobre cervezas según sus características organolépticas. Muestreo y traducción del fichero original publicado en http://nbviewer.jupyter.org/gist/glamp/20a18d52c539b87de2af.

Contiene datos sobre los productos encontrados en diversas cestas de la compra. Traducción del fichero original publicado en GitHub.

Contiene datos sobre precios y metros cuadrados de inmuebles publicados para su venta. Muestreo y traducción del fichero original publicado en http://www.louisdorard.com/guest/everyone-can-do-data-science-bigml.

Small version of the Instacart Market Basket Analysis

Processed dataset of orders, with several products bought in each order. Dataset prepared for Association Discovery between items (products)

• 131,209 orders
• from 131,209 different users
• 1,384,617 products bought (39,123 different products)

Dataset structure:

• order_id: Order ID
• user_id: User ID
• order_number: Order number for a user set of orders
• order_dow: Order day of week (0 to 6)
• order_hour_of_day: Order hour of day (0 to 23)
• days_since_prior_order: Number of days since the previous order of the same user
• products: List of products bought in the order, separated by pipe ( | )

Source:

Instacart Market Basket Analysis at Kaggle based on 3 Million Instacart Orders, Open Sourced blog post

Amazon Redshift example database

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Amazon Redshift example database

The Sacramento real estate transactions file is a list of 985 real estate transactions in the Sacramento area reported over a five-day period, as reported by the Sacramento Bee. Note that this file has address level information that you can choose to geocode, or you can use the existing latitude/longitude in the file.

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spatialkey datasets