Study for Suicide Phenomenon and Prevention in the US with Data Analysis

Abstract

Suicide is a global problem and the US has a very high suicide rate, it is a very serious social problem and the leading cause of death in the United States. To prevent further deterioration of the suicide problem, many scholars focus on suicide data for research, which is essential for current situation in US. Based on this limitation in the other research, in this project, an open suicide data set was used to analyse the characteristics of suicide groups and the methods of suicide. This study also used multiple linear regression modelling to analyse the reasons for their suicides with good accuracy. By analysing the data, the proposed methods can identify the groups that are more likely to commit suicide and the methods they prefer to use, as well as the reasons that lead them to commit suicide, and the certain recommendations were made to reduce the suicide rate. It can help people to understand suicide better and can help the government to give people better guidance and take appropriate preventive measures.