Analysis of Variables Related to Criminal Violence and Public Insecurity in the City of Barranquilla, Colombia, Using Crispy Methodology and Python Programming Language
摘要
This study examines the behavior of crime rates in Barranquilla over the period 2018 to 2022, with a specific focus on temporal variations and according to the type of crime. To conduct this research, official data from government sources were used and subjected to statistical analysis in order to identify patterns and trends. During this period, the Colombian city of Barranquilla has experienced a significant increase in its crime rate, particularly with regard to robberies and robberies with violence, which has generated a growing concern for the safety of its inhabitants. This increase in crime is attributed to several factors, including poverty and lack of economic opportunities, which increase the risk of criminal activity. In addition, the presence of well-structured criminal groups has also contributed to higher crime rates in the region. Despite efforts by law enforcement authorities to combat these groups, they face difficulties due to limited resources and the presence of corruption at some levels. The methodology used in the research is characterized by being analytical and of mixed approach, where a four-phase process was carried out: descriptive, data cleaning, intervention and analysis. This methodology made it possible to comprehensively examine the data provided by the police force of the Barranquilla metropolitan area, thus facilitating a deeper understanding of the phenomenon of crime in the region.