This repository contains an interactive Tableau dashboard designed to analyze student performance based on multiple lifestyle factors like study hours, sleep, diet quality, mental health, social media usage, and more.
- Average Metrics displayed at the top (e.g., Exam Score, Social Media Hours, Netflix Hours, Mental Health Rating, Attendance Percentage).
- Dynamic Area Chart showing the correlation between a user-selected measure (e.g., Study Hours or Sleep Hours) and Exam Score.
- Interactive Heatmaps visualizing the combined impact of:
- Study Hours & Diet Quality on various metrics.
- Sleep & Diet Quality on Attendance Rate or Exam Score.
- Gender-wise Distribution of Exam Scores using proportional circles.
- Bar Chart analyzing the impact of chosen dimensions (e.g., Diet, Parental Support, Extra Curricular Activities) on Exam Score.
- Histogram showing the distribution of students based on binned Exam Scores.
This dashboard is highly interactive and allows users to personalize the view through several parameter controls:
- Measure Selector (Area Chart): Choose between
Study HoursorSleep Hours. - Dimension Selector (Top Heatmap): Switch between
Diet QualityandMental Health. - Measure Selector (Bottom Heatmap): Choose between
Attendance RateorExam Score. - Dimension Selector (Bar Chart): Analyze Exam Score based on:
Diet QualityParental SupportExtra Curricular Activities
Dynamic titles in the charts update automatically based on selected parameters, making the insights more relevant and contextual.
The purpose of this dashboard is to provide a visual and analytical understanding of how different lifestyle habits influence student performance. This can be helpful for educators, students, and policymakers to make data-driven decisions.
- https://github.com/Siam-analytics/StudentPerformanceAnalysis/blob/main/student_habits_performance.csv
- https://github.com/Siam-analytics/StudentPerformanceAnalysis/blob/main/Student_Analysis.twbx
- Clone this repository.
- Open the
.twbxfile in Tableau Desktop - Interact with the dashboard using dropdowns and filters to explore different aspects of student performance.
This dashboard is based on a publicly available dataset from Kaggle. All data rights belong to the original publisher.
Siam Ahammed
If you found this project helpful or insightful, feel free to β the repo and share your feedback!
