Month: February 2025

Correlation values range from -1 to 1:
• 1.0 (Red): Perfect positive correlation (two variables increase together).
• 0.0 (White): No correlation.
• -1.0 (Blue): Perfect negative correlation (one variable increases, the other decreases).
I build this to show high murder areas also have high assault rate and those are urbanized areas,
so this pushes for need of more police surveillance. But this might not be true so I have another
correlation matrix
1.Crime & Police Shootings:
Murder (0.41): Moderate positive correlation; higher murder rates may lead to increased police
shootings due to heightened law enforcement presence or violent encounters.
Assault (0.44): Slightly stronger correlation than murder; physical altercations often result in
more police interventions.
Rape (0.51): The strongest correlation, suggesting sexual violence cases may involve higher
police use of force, possibly due to violent confrontations or high-risk arrests.

 

the above are the basic stats which are driven out from the Dataset i merged and also

These 2 bar chats show us how crime rank is split in between different frequencies due to
different social and geospatial reasons, I used to highlight the point on police shootings.

Findings:
• Higher crime rate regions exhibit a statistically significant increase in police shooting
incidents.
• More population a county has it has more chance of having more shooing
• Eastern states have lower population so even with population density they are fewer
police shootings
• Extreme temperature conditions don’t properly correlate with increased instances of
police shootings.
• It’s more directly connected to population than temperature.
• Population density and demographic variables influence police encounters, with densely
populated areas showing higher incidences even within same states.
• Statistical outliers suggest other factors apart from population and GDP playing a factor
in some
• Main conclusion we can draw is most of these factors are interlinked. Like population,
crime, poverty and all which leads to more police action in those areas.

These are the findings that me and my teammate Nikhil Valaja Found out and need to work on these

Analysed the police shooting data which was the professor was given by and also trying to found out the other related data to merge them and make it whole dataset.

Later i found the crime data from kaggle and county data from gigasheet.com.

Need to work on these