Combating criminal activity within American communities has been a top issue that many federal, state, and local law enforcement agency agencies are encountering. Being able to identify low or high patterns of criminal activity based of geographic location allows for these agencies to predict future hotspots within the affected area and how to allocate resources to those high crime areas. This research uses a three-year period of crime data from the District of Columbia to analyze crime within each Census census Tracttract. The spatial and temporal shift in criminal patterns spatially and temporally allows the this research to highlight areas that high crime frequent, variables that may be potential indicators through the use of Exploratory Data Analysis, and what the day/time of year and daythat these crimes are likely to happen. These iIndicators: such as, education attainment, average income, poverty, and racial majority of an area, allows for the further research of what contributes to the crime rate. Through the analysis of the District of Columbia crime data and other variables , potential methods of prevention or reduction in crime are further understood. The results emphasized that crime incidents within the three-year period increased in the first two years from the beginning of the summer to the end of the year. The third year showed an increase at the beginning of the year, a decrease in the middle of the year, and an increase at the end of summer. Temporally, crime incidents happen most frequently between the times of 10:00 a.m. and 10:00 p.m. Please Detail what studies have alreabcqdy been done on the subject
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