Market Basket Analysis Tool (Apriori Algorithm)
Market Basket Analysis typically focuses on item co-occurrence, not direct monetary value. This selector is for consistency.
Inputs:
Swipe or use the scrollbar below to navigate through input categories.
Transaction Data
One transaction per line. Items separated by commas (or other specified delimiter). Item names should be consistent.
Analysis Parameters
Itemsets appearing in less than this % of transactions will be ignored. (0-100)
Rules with less than this % confidence will be ignored. (0-100)
Maximum number of items in frequent itemsets to consider. 0 for no limit (can be slow).
Tool Actions & Information
This tool uses the Apriori algorithm to find frequent itemsets and generate association rules from transaction data.
Performance Note: Large datasets or very low support/high max K can be slow in a browser. For production use on big data, server-side processing is recommended.
Frequent Itemsets:
| Itemset | Support (%) | Support (Count) |
|---|
Association Rules:
| Rule (Antecedent => Consequent) | Support (%) | Confidence (%) | Lift |
|---|
Disclaimer: This tool is for educational purposes. Interpretation of results requires domain knowledge. Ensure data quality for meaningful analysis.