Data analysis of thefts in the city of Medellin from a descriptive approach

This article aims to identify trends and patterns of theft in the city of Medellin in the period 2014-2020, using open government data. The methodology used is business intelligence for descriptive data analysis. Variables such as neighborhoods, modalities, type of theft, and the prediction of the t...

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Chi tiết về thư mục
Những tác giả chính: Maestre-Gongora, Gina, Acuña-Castellanos, Camilo Andrés, Londoño-Bedoya, Edwar, García-García, Sergio
Định dạng: Online
Ngôn ngữ:spa
Được phát hành: Universidad Pedagógica y Tecnológica de Colombia 2023
Những chủ đề:
Truy cập trực tuyến:https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16059
Miêu tả
Tóm tắt:This article aims to identify trends and patterns of theft in the city of Medellin in the period 2014-2020, using open government data. The methodology used is business intelligence for descriptive data analysis. Variables such as neighborhoods, modalities, type of theft, and the prediction of the theft modality variable are analyzed. The results show that historically the second half of the year has the highest trend of incidences, where most thefts occur in public places 60% without the use of weapons. It is shown that due to the COVID pandemic, historical trends showed significant changes, but once the restrictions were lifted, they resumed the trends of increases in thefts in pre-pandemic conditions. It is concluded that the use of open data analisys gives information to improve the decision-making of the citizens