全国护理服务项目分布数据

基于全国区域维度数据可视化，合理分配各区资源。利用K-means聚2类，分为满意与不满意。分析不满意一类的数据，调整服务策略，提升客户满意度。Based on national regional-level data visualization, resources are rationally allocated across various regions. K-means clustering is utilized to partition the dataset into two groups: satisfied and dissatisfied customers. Subsequently, data from the dissatisfied group is analyzed to optimize service strategies and enhance overall customer satisfaction.

搜集汇总

数据集介绍

特点

该数据集记录了全国范围内的护理服务项目分布情况，包含257条记录，每周更新。通过K-means聚类分析，数据集将服务满意度分为满意和不满意两类，并提供了针对不满意服务的改进策略，适用于全国客户的护理需求服务与服务状态数据留存。