Analysis of the trend of employment demand index in the art industry of Jiangsu Province based on unsupervised learning
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.
art industryemploymentunsupervised learningrequirement modeltrend analysis
国家科技期刊平台
NSTL
万方数据
