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Groceries Market Basket Analysis Data
Data Science and Analytics
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About
This dataset is designed for Market Basket Analysis (MBA), providing a collection of groceries transaction data. It has been adapted from an initial groceries dataset and fragmented into two distinct CSV files to facilitate MBA implementation. One file,
groceries data.csv, is suitable for Exploratory Data Analysis (EDA) and pre-processing before being fed into the Apriori algorithm. The second file, basket.csv, contains pre-processed data, requiring only NaN replacement and encoding via a TransactionEncoder before direct input into the Apriori algorithm.Columns
- Member_number: A unique identifier for each member [1].
- Date: The specific date of the transaction [2].
- itemDescription: The name of the purchased item [3].
- year: The year in which the transaction occurred [3].
- month: The month in which the transaction occurred [4].
- day: The day of the month on which the transaction occurred [4].
- day_of_week: The day of the week on which the transaction occurred [5].
Distribution
The dataset is provided in CSV format [1, 6]. The
groceries data.csv file has a size of 1.57 MB [1]. Both groceries data.csv and basket.csv contain 7 columns [1]. The dataset includes 38,800 records across all columns [2-5, 7, 8]. There are two main data files: groceries data.csv for initial EDA and pre-processing, and basket.csv which is pre-processed for direct use with the Apriori algorithm [6].Usage
This dataset is ideally suited for Market Basket Analysis (MBA) [6]. It can be used to perform Exploratory Data Analysis (EDA) and to pre-process transaction data for input into the Apriori algorithm [6]. The pre-processed
basket.csv file allows for direct encoding and application of the Apriori algorithm [6].Coverage
The dataset covers transactions from 1st January 2014 to 30th December 2015 [7]. The available years are 2014 and 2015 [3]. No specific geographic or demographic scope is detailed in the available information.
License
CC0: Public Domain
Who Can Use It
This dataset is intended for:
- Data analysts looking to perform market basket analysis [6].
- Machine learning practitioners implementing association rule mining algorithms like Apriori [6].
- Researchers in retail, marketing, or consumer behaviour studies [1].
- Students learning about data pre-processing, EDA, and market basket analysis [6].
Dataset Name Suggestions
- Groceries Market Basket Analysis Data
- Retail Transaction Data for MBA
- Apriori Groceries Transaction Dataset
- Consumer Purchase Habits (Groceries)
Attributes
Original Data Source: Groceries Market Basket Analysis Data
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