Leveraging Global Suicide Statistics for Insightful Prevention Strategies: A Comprehensive Analysis

Exploring patterns and trends in suicide data is crucial to understanding the complex interplay of factors that affect mental health and suicide risk. This study delves into the global suicide landscape using the “Suicide Data with Continent" dataset from Kaggle, which aggregates comprehensive information on suicides from various countries and regions. Using multivariate regression analysis along with sophisticated data analysis and visualization techniques, including trend charts, maps, and pie charts through the Dash and Plotly libraries, we uncover continental patterns and trends related to suicide rates. The analysis, based on a dataset comprising 27.820 records spanning 32 years with details on demographics, socioeconomic indicators, and 6.748.420 recorded suicides, aims to illuminate the multifaceted nature of suicide phenomena. The findings not only foster a deeper understanding of global suicide dynamics, but also serve as a foundational analysis to inform future suicide prevention policies and programs, specifically laying the groundwork for an impending study in Colombia.