This project explores how social media usage influences students’ academic performance, mental health, and sleep duration using statistical analysis and data visualization in R. The analysis includes exploratory data analysis (EDA), hypothesis testing (t-test, ANOVA, Chi-square), correlation analysis, and machine learning techniques to uncover meaningful behavioral patterns among students. Interactive visualizations and statistical insights were used to identify trends across gender, age groups, academic levels, and social media platforms

Climate change and energy consumption are among the most important global challenges today. This project explores national carbon footprints and energy consumption trends using data from Our World in Data (OWID).