Examining Periodic Differences of Suicide Cases with Circular Data Analysis

Abstract

The aim of this study is to analyze suicide cases with circular data analysis and to compare them with the standard linear analysis method and to guide the implementation of long-term social protective programs. Circular data analysis was used as method. However, standard linear statistics method was also used to compare the results of circular data analysis. Men constitute 74.91% of 15731 cases included in the study. Disease (39.84%) has been identified as the highest risk factor. Despite having a low concentration, the most suicide occurred in May (9.43%). Furthermore, a significant relationship was found between suicide causes and gender and suicide causes and months (p