Market Basket Analysis
Python/Flask Project by Dylan Glatt

Please input your desired support and length values below:

-- This Python Analysis is for identifying products with high correlation in transaction data.
-- For example, milk is purchased frequently with bread, so, promote milk to bread buyers.
-- The Python Data Analysis is presented in a browser using the Flask framework.
-- The user can select the number of items to analyze (length) and a minimum support level (e.g. 0.02 is 2%).
-- The returned tables are sorted in descending order with the highest correlated products on top.

NOTE: Presenting Python Data Analysis in Flask using a browser is useful in decision meetings
for product managers, executives, and other non-analyst attendees to help with directing resources.