Crime Data Visualization
Data visualization is a powerful tool to gain insight from a large set of data. It is difficult and sometimes impossible to eyeball raw data create information based on it. Tools such as Excel, Tableau and SAS Visual Analytics have capabilities to create a graphical display from the data. Here is an example of how data visualization utilized to understand the data better and find useful insights applicable to the real world.
These dashboards are created using the data from the city of Chicago crime database. It included data from 2016 up to early September of 2018.
Where are the crimes occuring most often? Homicide?
Homicide is higher in the same community areas between 2016 to present. The districts with more crimes are more likely to have a homicide crime reported. There at least one homicide a week. While it's a small number, people are wounded often from the violence in Chicago in 2018.
The primary type of crimes that the CPD should focus on are the crimes that are below the benchmark. The CPD could help with preventative measures in the district in which crimes are higher. If the district is in poverty, find ways to create jobs and better the community. It is good to build a relationship between the community and law enforcement
When are crimes are happening the most? What time of year/month/day should more law enforcement deployed?
What crimes should be investigated and how can we reduce it?
Looking at the trend line at all crimes by month, it is slightly rising, but there are three more months until 2019 to show changes. Comparing the crimes 2016 and 2017, they look very similar and not much has changed. Most crimes are happening during 8 AM to midnight. During the months, the crime is almost the same with a small deviation between days.
The low rate of arrest for more serious offenses can cause the same perpetrator to commit to the same or more harmful offenses over time. When law enforcement is holding the perpetrator accountable, trust could be rebuilt with the public.