Efficiency analysis

This document represents the unsupervised learning of clustering study, aiming to inform the siting of delivery courier stations, by clustering features from working population and income characteristics combined with geographic location. By comparing 3 mainstream clustering methods(K-means,PAM,DBSCAN), try to find the appropriate clusters with reasonable interpretation.

this project is to analyze the Superstore dataset to understand sales performance, profitability, and customer purchasing patterns, using data visualization and exploratory data analysis techniques to support informed business decision-making.