Market basket analysis for retail trade

This laboratory work is dedicated to the analysis of the consumer basket based on the dataset of The Bread Basket bakery located in Edinburgh. The dataset contains 20,507 records, over 9,000 transactions, and 4 columns.

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Name: Market basket analysis for retail trade
Price: Free CAD
Rating: 5.0 (35 reviews)
Author: kateryna_hazdiuk, yaroslav_vyklyuk_2, olha_vdovichena

All modern companies, including online stores, analyze customer transactions and based on them form a consumer basket, which is essentially a set of popular products that are purchased together. This basket can be used to create shopping recommendations or product assortments, shelf placements in supermarkets, or to create promotional offers.

Market basket analysis is a powerful tool for transforming vast amounts of customer transactions into simple, easily visualized rules used for product promotion and building sales recommendations.

In this lab work, we will learn to conduct consumer basket analysis using both classical data visualization methods and the apriori algorithm, standard indicators, associative rules, aggregation, and pruning. We will also learn to visualize associative rules as a dynamic graph.

Offered By: IBM

Market basket analysis for retail trade

At a Glance