Market Basket Analysis: Case Study

Download the dataset below to solve this Data Science case study on Market Basket Analysis.

Market Basket Analysis is a data-driven technique used in retail and e-commerce to uncover patterns of co-occurring items in transactions. It aims to identify relationships between products that are frequently purchased together, providing valuable insights for product placement, cross-selling, and marketing strategies.

The dataset provided contains transactional data, with columns representing:

  • BillNo: A unique identifier for each customer’s bill.
  • Itemname: The name of the purchased item.
  • Quantity: The quantity of the item purchased.
  • Price: The price of each item.
  • CustomerID: A unique identifier for each customer.

Perform a Market Basket Analysis on the given dataset to discover associations between purchased items. Specifically, the goal is to identify:

  • Which items are frequently purchased together by customers.
  • The strength of these associations (e.g., support, confidence, lift).

References to Solve this Data Science Case Study