Online Retail II
Donated on 9/20/2019
A real online retail transaction data set of two years.
Dataset Characteristics
Multivariate, Sequential, Time-Series, Text
Subject Area
Business
Associated Tasks
Classification, Regression, Clustering
Feature Type
Integer, Real
# Instances
1067371
# Features
-
Dataset Information
Additional Information
This Online Retail II data set contains all the transactions occurring for a UK-based and registered, non-store online retail between 01/12/2009 and 09/12/2011.The company mainly sells unique all-occasion gift-ware. Many customers of the company are wholesalers.
Has Missing Values?
Yes
Variables Table
Variable Name | Role | Type | Description | Units | Missing Values |
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no | |||||
no | |||||
no | |||||
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 the 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 a 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 a customer resides.
Dataset Files
File | Size |
---|---|
online_retail_II.xlsx | 43.5 MB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset online_retail_ii = fetch_ucirepo(id=502) # data (as pandas dataframes) X = online_retail_ii.data.features y = online_retail_ii.data.targets # metadata print(online_retail_ii.metadata) # variable information print(online_retail_ii.variables)
Chen, D. (2012). Online Retail II [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5CG6D.
Creators
Daqing Chen
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.