Analyzing Suicide Rates from 1985 to 2016: Trends and Insights

This project analyzes suicide rates from 1985-2016 using a Kaggle dataset, exploring trends across countries, gender, and age groups. After cleaning the data with Python (Pandas, NumPy), I conducted EDA and visualized findings with Tableau, revealing higher rates among men and regional variations. I also explored links with socio-economic factors like GDP. This work enhanced my data analysis skills and deepened my understanding of suicide trends, aiming to inform public health efforts.