Analysis Of Student Performance Using Data Visualization Techniques
Analysis Of Student Performance Using Data Visualization Techniques
CHANDU1, GANESH2, AJAY3
Department of Artificial Intelligence and Data Science, Methodist College of Engineering and Technology, Hyderabad, Telangana, India
Department of Artificial Intelligence and Data Science, Methodist College of Engineering and Technology, Hyderabad, Telangana, India
Department of Artificial Intelligence and Data Science, Methodist College of Engineering and Technology, Hyderabad, Telangana, India
Guide: Mrs. P. Lakshmi, Assistant Professor, Department of Computer Science and Engineering, Methodist College of Engineering and Technology, Hyderabad, Telangana, India
Abstract - Student performance is one of the most important indicators of educational success. This project focuses on analyzing student performance using Tableau, a powerful data visualization tool. The dataset contains information such as attendance percentage, study hours, assignment scores, examination marks, and final grades. By creating interactive dashboards and visualizations, the project helps identify patterns and factors that influence academic performance. The analysis reveals significant correlations between attendance, study hours, and examination scores. Interactive dashboards enable educators to identify at-risk students and implement timely interventions. The insights aim to help students, teachers, and educational institutions improve learning outcomes and academic success.
Key Words: Student Performance, Tableau, Data Visualization, Academic Analysis, Attendance, Study Hours, Examination Scores, Dashboard