Kmeans Clustering
- 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

Data transformed to wide format: each row = State + Group, columns = tax indicators.

Final column Cluster shows KMeans result (k=2):

• Cluster 0: Mostly average tax structures

• Cluster 1: Includes higher sales tax areas like Utah Sales Taxes

Clear grouping reflects regional tax policy differences.

Results

Shows clustering performance for different values of k.

Best score at k=2 (0.078) suggests 2 clusters offer the most meaningful grouping, though separation is weak overall.