In the era of big data, the importance of college students’ employment is self-evident, which is related to the development prospects of individuals, as well as the effective use of human resources and the level of high-quality economic and social development. In this paper, we design a visualization prediction system of college students’ employment situation based on big data to address this issue. Firstly, we construct a comprehensive data collection model based on the on-campus student source data resource database, recruitment information released by network recruitment websites, enterprise talent database, and relevant data information in the statistical yearbooks of national and local governments. In addition, intelligent model construction on the basis of big data analysis can efficiently discover valuable information laws in the massive multi-source employment data and provide timely feedback to the relevant government departments, universities and college students themselves, thus helping to make correct judgments; with the help of data visualization tools, the information hidden in a large amount of data can be displayed in a more intuitive form, greatly improving the information conveying With the help of data visualization tools, the information hidden in a large amount of data can be presented in a more intuitive form, which greatly improves the communication of information and the cognitive understanding of users. The method adopted in this paper has been tested in practice, and it has improved the accuracy of prediction results and the speed of massive data analysis compared with the existing methods, which can provide effective tools and technical references for the analysis of the employment situation of college graduates.
