Data collection and talent demand analysis of recruitment website based on principal component analysis

Jihui Fan, Fengshan Yuan
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Abstract

The talent structure has been flattened, from the pyramid talent structure to the olive talent structure. Jobs are more complicated, industries are upgraded from low-end to high-end, and the situation faced by jobs is more complex. Talent specification compounding, industry understanding, data thinking, programming ability, innovative thinking and comprehensive problem-solving ability. With the rapid development of science and technology, the demand for social talents is constantly changing, and the big data wave is coming,How to match the talent training of the school with the talent demand of the society. This paper uses the crawler technology to obtain data from the recruitment website, through data collection, cleaning, and data preprocessing, and finally carries out data analysis and visual display.
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基于主成分分析的招聘网站数据收集与人才需求分析
人才结构扁平化,从金字塔型人才结构向橄榄型人才结构转变。就业形势更加复杂,产业由低端向高端升级,就业面临的形势更加复杂。人才规范复合、行业理解、数据思维、编程能力、创新思维和综合解决问题能力。随着科学技术的飞速发展,社会对人才的需求不断变化,大数据浪潮即将来临,学校的人才培养如何与社会的人才需求相匹配。本文采用爬虫技术从招聘网站获取数据,经过数据采集、清洗、数据预处理,最后进行数据分析和可视化显示。
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