摘要
可视化挖掘分析江苏省艺术类就业数据,静态展示就业基础研究的空间分布特征,动态识别江苏省艺术类行业就业归趋演化,精准研判江苏省艺术类行业就业形势的“态”和“势”,从2010—2021年江苏省艺术类行业就业需求维度,利用无监督学习构造网络搜索数据就业需求指数模型,分析江苏省艺术类行业就业市场的周期性特点、市场供需变化趋势。艺术类行业就业需求指数模型有利于丰富现有就业统计内容和重构就业统计框架,对加强艺术类行业就业市场和宏观经济走势的统计监测和趋势预判,补充和丰富政府、高校招生统计体系具有一定的意义。
Based on the visual mining and analysis of art employment data in Jiangsu Province,the spatial distribution characteristics and dynamic identification of the employment trend of the art industry in Jiangsu Province are statically displayed,and the“state”and“potential”of the employment situation of art industry in Jiangsu Province are accurately determined.The employment demand index model of the art industry in Jiangsu Province is constructed by unsupervised learning to analyze the cyclical characteristics of the art industry employment market and the change trend of market supply and demand in Jiangsu Province by taking the employment demand dimension of the art industry in Jiangsu Province from 2010 to 2021.The employment demand index model of the art industry is conducive to enriching the existing employment statistics and reconstructing the employment statistical framework,which is of certain significance for strengthening the statistical monitoring and trend prediction of the employment market and macroeconomic trends in the art industry,and supplementing and enriching the existing government and college enrollment statistics system.
作者
曹奇
CAO QI(Enrollment and Employment Department,Changzhou Vocational Institute of Textile and Garment,Changzhou 213164,China)
出处
《镇江高专学报》
2024年第3期97-101,106,共6页
Journal of Zhenjiang College
基金
2023年度江苏省高等学校自然科学研究项目资助(23KJB520001)
2023年度江苏省教育科学规划青年专项(C/2023/02/09)
2023年度江苏省高校毕业生就业创业委托研究项目(JCXM-C-20230901)
2024年度常州市社会科学研究课题(202401943)。
关键词
艺术类行业
就业
无监督学习
需求模型
归趋分析
art industry
employment
unsupervised learning
requirement model
trend analysis
作者简介
曹奇(1990-),男,江苏常州人,讲师,硕士生,主要从事学生就业创业教育、职业教育管理、测量误差理论与数据处理研究。
