Dataset: Online Retail Data Set From ML Repository

About this Dataset

Online Retail Data Set From ML Repository

Context

A real online retail transaction data set of two years.

Content

This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers.

Column Descriptors

InvoiceNo: Invoice number. Nominal, a 6-digit integral number uniquely assigned to each transaction. If this code starts with letter 'c', it indicates a cancellation.
StockCode: Product (item) code. Nominal, a 5-digit integral number uniquely assigned to each distinct product.
Description: Product (item) name. Nominal.
Quantity: The quantities of each product (item) per transaction. Numeric.
InvoiceDate: Invice Date and time. Numeric, the day and time when each transaction was generated.
UnitPrice: Unit price. Numeric, Product price per unit in sterling.
CustomerID: Customer number. Nominal, a 5-digit integral number uniquely assigned to each customer.
Country: Country name. Nominal, the name of the country where each customer resides.

Acknowledgements

Here you can find references about data set:
http://archive.ics.uci.edu/ml/datasets/Online+Retail
and

Relevant Papers:

The evolution of direct, data and digital marketing, Richard Webber, Journal of Direct, Data and Digital Marketing Practice (2013) 14, 291â€“309.
Clustering Experiments on Big Transaction Data for Market Segmentation,
Ashishkumar Singh, Grace Rumantir, Annie South, Blair Bethwaite, Proceedings of the 2014 International Conference on Big Data Science and Computing.
A decision-making framework for precision marketing, Zhen You, Yain-Whar Si, Defu Zhang, XiangXiang Zeng, Stephen C.H. Leung c, Tao Li, Expert Systems with Applications, 42 (2015) 3357â€“3367.

Citation Request:

Daqing Chen, Sai Liang Sain, and Kun Guo, Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3, pp. 197â€“208, 2012 (Published online before print: 27 August 2012. doi: 10.1057/dbm.2012.17).

Inspiration

This is Data Set Characteristics: Multivariate, Sequential, Time-Series, Text

Tables

Retail Dataset

@kaggle.mathchi_online_retail_data_set_from_ml_repository.retail_dataset

5.99 KB
315 rows
7 columns


CREATE TABLE retail_dataset (
  "n_0" VARCHAR,
  "n_1" VARCHAR,
  "n_2" VARCHAR,
  "n_3" VARCHAR,
  "n_4" VARCHAR,
  "n_5" VARCHAR,
  "n_6" VARCHAR
);