Apriori Analysis
- Tax Data -

• Before Data Transformation Snapshot

• Tabular data listing tax attributes by State, Group, Item, and Value.

• Includes mixed formats (%, $, numbers) requiring cleaning before analysis.

• Each row represents one tax metric for a state-category (e.g., Colorado's Individual Taxes).

• After Data Transformation Snapshot

• Shows the dataset after preprocessing for Apriori

• Each row = one State + Group, each column = tax attribute (High or Low)

• Values = True/False, indicating presence of each category

• Results

• Shows the top 10 rules with lift ≥ 0.9

• All rules link "High" tax features (e.g., high sales tax → high total tax burden)

• Confidence = 1.0, Lift = 8.0, indicating very strong associations

• Best tuning: min_support = 0.10, min_confidence = 0.4 yielded the most rules (264) with high average lift (1.54)

✅ Conclusion: Apriori effectively revealed co-occurring "High" tax patterns with strong interpretability.