贵州省少数民族分布数据

应用Geohash编码实现多尺度空间聚合，采用t-SNE算法降维可视化族群特征，集成随机森林进行文化传承预测，在面向运营端和商家端分析时，运用趋势分析了解少数民族人口相关数据的长期变化；通过多维分解从多个维度分析少数民族人口分布和特征；利用用户分群（分层）对不同特征的少数民族群体进行分类研究；借助漏斗分析研究少数民族人口相关业务流程中的转化情况；运用需求分析挖掘针对少数民族群体的潜在服务需求。

This dataset applies Geohash encoding to achieve multi-scale spatial aggregation, adopts t-SNE algorithm for dimensionality reduction and visualization of ethnic group characteristics, and integrates Random Forest for cultural inheritance prediction. When conducting analysis for the operation side and merchant side, trend analysis is utilized to understand the long-term changes of data related to ethnic minority populations. Multi-dimensional decomposition is employed to analyze the distribution and characteristics of ethnic minority populations from multiple dimensions. User segmentation (stratification) is used to perform classification research on ethnic minority groups with distinct characteristics. Funnel analysis is adopted to investigate the conversion status in business processes related to ethnic minority populations. Demand analysis is applied to explore potential service demands targeting ethnic minority groups.

搜集汇总

背景与挑战

背景概述

该数据集包含贵州省少数民族分布数据，规模为0.2T，每日更新，用于民族发展决策模型构建和社会研究。数据结构涵盖用户ID、出生年月、性别、姓名、民族和地址等关键字段。