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You're reading from Big Data Analytics with Java

Product typeBook

Published inJul 2017

Reading LevelIntermediate

PublisherPackt

ISBN-139781787288980

Edition1st Edition

Languages

Java

Tools

Apache Spark Hadoop

Concepts

Big Data

Author (1)

RAJAT MEHTA

Dataset

For our case study on customer segmentation using clustering, we will be using a dataset from UCI repository of datasets for a UK online retail store. This retail store has shared its data with UCI and the dataset is freely available on their website. This data is essentially the transactions of different customers made on the online retail store. The transactions were made from different countries and the dataset size is good (thousands of rows). Let's go through the attributes of the dataset:

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Big Data Analytics with Java

Published in: Jul 2017Publisher: PacktISBN-13: 9781787288980

Author (1)

RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.
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Attribute name	Description
`Invoice number`	Invoice number; a number uniquely assigned to each transaction
`Stock code`	Product (item) code; a 5-digit integral number uniquely assigned to each distinct product
`Description`	Product item name
`Quantity`	Quantity of items purchased in a single transaction
`Invoice date`	Date of the transaction
`Unit price`	Price of the item (in pounds)
`Customer ID`	Unique ID of the person making the transaction
`Country`	Country from where...

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