Crime Analytics: Exploring Analysis of Crimes through R Programming Language

The complexity of geographical crime patterns creates challenges for many laws enforcing agencies as well for the community. Crime analytics is an intelligent crime analysis designed to aggregate crime related data. We use different algorithm in Machine Learning to collect data sets. Our focus in this study is to design a crime analysis system to identify trends and patterns. This study provides solutions to reveal valuable records that can be used effectively for analyzing and recording the information. The application of R programming language gives a new way to connect to enormous volumes of police crime data, where R streamlines the processing and interpretation of crime analysis. The study used the comprehensible histogram to show crime rates in every district. R explores predictions related to crime patterns, which depicts the crime committed. It is a tool that can help law enforcement effort to set various stages of development to check the potential problems before they become disastrous. It is needed to emphasize that R can help in the analysis of data concerning small units or districts.