By Team Edtoolkits · Data
Find product pairs with support, confidence and lift.
Use the guide alongside the working tool.
Open Market Basket Analyzer →Explicit working sample
customer,order,date,product,amount
A,100,2026-01-01,Notebook,30
A,100,2026-01-01,Pen,10
B,101,2026-01-03,Notebook,25
A,102,2026-02-01,Pen,20
C,103,2026-02-02,Notebook,50
C,103,2026-02-02,Pen,15
B,104,2026-03-01,Pen,35Find product pairs with support, confidence and lift. Revenue is supplied historical line-item amounts, in one currency. Repeated lines in the same order sum; orders count distinctly per customer. Dates must be ISO calendar dates. Positive spend is required for concentration. RFM ties receive equal scores using midrank bands; no predictions or causal claims. Basket analysis deduplicates products per order and examines pairs, at most 100 products and 2,000 baskets.
Prepare the input
Find product pairs with support, confidence and lift.
CSV, TSV and arrays of scalar JSON objects are supported. Identifiers stay text. Empty cells are missing by default; add special missing tokens only if their meaning is certain. Use the sample to inspect the exact workflow.
Review the method
Revenue is supplied historical line-item amounts, in one currency. Repeated lines in the same order sum; orders count distinctly per customer. Dates must be ISO calendar dates. Positive spend is required for concentration. RFM ties receive equal scores using midrank bands; no predictions or causal claims. Basket analysis deduplicates products per order and examines pairs, at most 100 products and 2,000 baskets.
Keep the useful output
Review the summary and result records. Transformation tools retain separate change, rejected-record or diagnostics datasets where relevant. Choose the dataset before exporting; a report and a cleaned dataset serve different purposes.
CSV exports protect formula-like text. JSON keeps data portable without making an Excel workbook. Reports and editable backups may contain private source values; download only what you intend to share. No automatic account storage or server processing is used.
Ready to apply this workflow?
Try Market Basket Analyzer →Explore a related workflow
- RFM Customer Segmentation: methods and data limits
Score recency, distinct orders and historical customer spend.
- Customer Lifetime Value Analyzer: methods and data limits
Measure observed customer value, repeat orders and acquisition cohorts.
- Revenue Concentration & Pareto Analyzer: methods and data limits
Find revenue concentration and cumulative contribution thresholds.
- Subscription Churn & Revenue Retention: methods and data limits
Reconcile customer MRR movements, churn and expansion.
Keep your original files and review the result. Found unclear instructions? Contact Team Edtoolkits.