Exploring Racial Differences in Fatal Police Shootings

Hello,

In today’s analysis I performed a heat map analysis for different racial groups, to gain insights into how various factors are interrelated in incidents of fatal police shootings, with a particular focus on how these relationships vary across different racial groups. My analysis are as follows:-

  • Asian (A)
    – There is a positive correlation between latitude and longitude, suggesting that incidents involving Asian individuals tend to occur in specific geographical regions.
    – The age variable shows very little correlation with other variables, indicating that age does not play a significant role in these incidents for Asian individuals.
    – The was_mental_illness_related variable shows a slight negative correlation with body_camera, suggesting that incidents involving mental illness are less likely to be recorded by body cameras.
  • White (W)

– Similar to the Asian group, there is a positive correlation between latitude and longitude.

– The age variable shows a slight negative correlation with latitude and longitude, suggesting that incidents involving older white individuals might occur in different geographical areas compared to younger individuals.
– The was_mental_illness_related variable has very little correlation with other variables.

Hispanic (H)
– Again, there is a positive correlation between latitude and longitude.
– The age variable shows a slight negative correlation with latitude, longitude, and was_mental_illness_related.
– The body_camera variable shows very little correlation with other variables.

Black (B)
– The positive correlation between latitude and longitude is present, though slightly weaker compared to other racial groups.
– The age variable shows a slight negative correlation with latitude, longitude, and was_mental_illness_related.
– The body_camera variable shows a slight positive correlation with was_mental_illness_related.

Other (O)
– The positive correlation between latitude and longitude is weaker compared to other racial groups.
– The age variable shows very little correlation with other variables.
– The was_mental_illness_related variable shows a slight negative correlation with body_camera.

Native American (N)
– The correlation between latitude and longitude is weaker compared to other racial groups.
– The age variable shows very little correlation with other variables.
– The body_camera variable shows a slight negative correlation with was_mental_illness_related.

Black and Hispanic (B;H)
– This group has a very limited number of data points, and as such, the correlations should be interpreted with caution.
– The age variable shows a slight negative correlation with latitude and longitude.
– The was_mental_illness_related variable shows a slight positive correlation with body_camera.

General Observations
– Across all racial groups, there is a consistent positive correlation between latitude and longitude.
– The age variable generally shows little to no correlation with other variables.
– The relationship between was_mental_illness_related and body_camera varies across racial groups, indicating potential areas for further investigation.

These observations provide a starting point for further analysis and discussion. It is important to approach these findings with a critical eye and consider additional factors and context that might influence these relationships.

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