Online Retail
Donated on 11/5/2015
This is a transactional 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.
Dataset Characteristics
Multivariate, Sequential, Time-Series
Subject Area
Business
Associated Tasks
Classification, Clustering
Feature Type
Integer, Real
# Instances
541909
# Features
6
Dataset Information
Additional Information
This is a transactional 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.
Has Missing Values?
No
Introductory Paper
By Daqing Chen, Sai Laing Sain, Kun Guo. 2012
Published in Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| InvoiceNo | ID | Categorical | a 6-digit integral number uniquely assigned to each transaction. If this code starts with letter 'c', it indicates a cancellation | no | |
| StockCode | ID | Categorical | a 5-digit integral number uniquely assigned to each distinct product | no | |
| Description | Feature | Categorical | product name | no | |
| Quantity | Feature | Integer | the quantities of each product (item) per transaction | no | |
| InvoiceDate | Feature | Date | the day and time when each transaction was generated | no | |
| UnitPrice | Feature | Continuous | product price per unit | sterling | no |
| CustomerID | Feature | Categorical | a 5-digit integral number uniquely assigned to each customer | no | |
| Country | Feature | Categorical | the name of the country where each customer resides | no |
0 to 8 of 8
Additional Variable Information
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: Invoice 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.
Dataset Files
| File | Size |
|---|---|
| Online Retail.xlsx | 22.6 MB |
Papers Citing this Dataset
Sort by Year, desc
By Nikolaj Tatti, Fabian Moerchen, Toon Calders. 2019
Published in ArXiv.
By Edward Gan, Jialin Ding, Kai Tai, Vatsal Sharan, Peter Bailis. 2018
Published in ArXiv.
By Xiao He, Francesco Alesiani, Ammar Shaker. 2018
Published in ArXiv.
By Komate Amphawan, Philippe Lenca, Athasit Surarerks. 2011
Published in PAKDD Workshops.
By Geoffrey Webb. 2008
Published in Machine Learning.
0 to 5 of 8
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset online_retail = fetch_ucirepo(id=352) # data (as pandas dataframes) X = online_retail.data.features y = online_retail.data.targets # metadata print(online_retail.metadata) # variable information print(online_retail.variables)
Chen, D. (2015). Online Retail [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5BW33.
Keywords
Creators
Daqing Chen
chend@lsbu.ac.uk
School of Engineering, London South Bank University
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.