Employment Big Data Analysis of Higher vocational colleges based on python -- A case study of civil and architectural majors

Abstract

In recent years, with the increase of graduates, the impact of the novel coronavirus pandemic led to economic slowdown and other factors, the problem of difficult employment has attracted wide attention from all walks of life. This paper takes the employment data of civil engineering graduates of a vocational college as an example. Through data collection, data cleaning, data analysis, data visualization and other methods, it shows the employment rate of graduates, employment industry, matching degree between employment units and majors, salary level, geographical distribution and other information, so as to provide reference for students' career planning and employment choice. It also provides job market data support for universities and government departments. Finally, countermeasures and suggestions are put forward to help students better plan their career development.