基于visdom工具实现学生数据可视化分析

Realization of student data visualization analysis based on visdom tool

本文从研究高校教学过程中积累的大量学生成绩数据出发,通过大数据技术,完成数据抽取、清洗、转换、装载,构建学生成绩数据模型,应用visdom可视化工具和Python各类机器学习库,实现高校学生成绩数据可视化分析展现,实践表明,成绩分析可视化展现可以较为精准诊断学生学习实情及学习能力优劣态势,辅助提升学生综合管理水平和教学质量,提高学生综合竞争力。

This article starts with the study of a large number of student performance data accumulated in the teaching process of colleges and universities,uses big data technology to complete data extraction,cleaning,conversion,and loading,builds student performance data models,and uses visdom visualization tools and various Python machine learning libraries to achieve college student pairing Visual analysis and display of score data.Practice has shown that visual analysis can more accurately diagnose the true learning ability and learning situation of students,help improve students'comprehensive management level and teaching quality,and improve students'comprehensive competitiveness.