This project was completed as part of CIS 9655 – Data Visualization at Baruch College

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Overview

This project explores the effects of screen time on sleep, grades, and physical activity for adolescents and adults. Using Python and public datasets from Kaggle, we built visualizations and performed correlation analysis to compare trends between age groups.

 

 What We Did
• Cleaned and merged datasets for age, sleep, screen time, and grades  
• Standardized values like seconds to minutes, and grade formats  
• Used Seaborn and Plotly to build visual dashboards  
• Grouped and compared behavioral data by age ranges  
• Created an interactive notebook, presentation, and video summary

 

Outcome
The results showed that while adults spent more time on screens and less time sleeping, they also performed better academically. Correlations between screen time and sleep or grades were weak, suggesting that quality matters more than quantity. The project highlights how visualization can reveal lifestyle patterns across age groups.

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Tools Used
• Python (pandas, numpy)  
• Seaborn, Plotly, Matplotlib  
• Jupyter Notebook, PowerPoint, Zoom

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