摘要
二〇二〇年新冠疫情的出现,对我国的就业形势产生极大的冲击。为了帮助失业人员的再就业以及求职人员的择业,有必要对疫情后国内就业态势进行数据分析。文章利用Python爬取并处理招聘网站数据,再使用Origin对这些数据作可视化分析,展示疫情后国内招聘现状,为相关人员提供就业指导。
The emergence of COVID-19 epidemic in 2020 has had a great impact on the employment situation in China.In order to help the unemployed to find new jobs and the job seeker to choose jobs,it is necessary to analyze the domestic employment situation of the post epidemic in China.In this paper,Python is used to crawl and process the recruitment website data,and Origin is used to visually analyze the data,to show the current situation of domestic recruitment of the post epidemic,which provides relevant personnel with employment guidance.
作者
张懿源
武帅
夏换
丛楠
Zhang Yiyuan;Wu Shuai;Xia Huan;Cong Nan(School of Information,Guizhou University of Finance and Economics,Guiyang,Guizhou 550025,China;Guizhou Key Laboratory of Simulation,Guizhou University of Finance and Economics)
出处
《计算机时代》
2021年第1期128-131,共4页
Computer Era
基金
贵州省科学技术基金(黔科合基础[2019]1041、黔科合基础[2019]1403、黔科合基础[2020]1Y279)
贵州省普通高等学校科技拔尖人才支持计划项目(黔教合KY字[2016]068)
贵州财经大学2019年度校级项目(2019XQN01)。
