Month: October 2023

Trend in shooting

This will produce a line plot and an area plot of the trend in fatal police shootings over time in the United States, using the Washington Post Fatal Police Shootings dataset. The line plot will show a line connecting the data points, and the area plot will fill the area between the line plot and the x-axis. Both plots will be colored in blue.

The title of the plot will be “Trend in Fatal Police Shootings Over Time”, and the x-axis label will be “Year”. The y-axis label will be “Change in Number of Fatal Police Shootings (%)”. A legend will be added to the plot, showing that the blue line represents the trend.

Overall trend: The trend in fatal police shootings in the United States has been declining in recent years.

We see the following observations from the visualization and they are

The number of fatal police shootings decreased by 6.8% in 2020 compared to 2019.

The number of fatal police shootings decreased by 17.4% in 2019 compared to 2018.

The number of fatal police shootings decreased by 7.9% in 2018 compared to 2017.

Conclusion: The trend in fatal police shootings in the United States has been declining in recent years.

Mental illness by Age group

We can see that there is a significant increase in the number of mental illness cases by age group. This is likely due to a number of factors, such as the age of the victim, the age of the victim’s spouse, and the age of the victim’s child.

For example, younger people may be more likely to experience mental illness because they are still developing and may be more susceptible to stress and anxiety. Additionally, people with mental illness may be more likely to be victims of crime, which can further exacerbate their mental health problems.

The visualization also shows that the number of mental illness cases decreases after the age of 50. This may be because older people are more likely to have developed coping mechanisms for dealing with mental illness. Additionally, older people may be less likely to experience stressful life events, such as job loss or divorce, which can trigger mental illness.

Overall, from the visualization we can say that mental illness is a significant problem that affects people of all ages. However, the risk of mental illness appears to be highest among younger people.

Whether person was fleeing?

The above visualization is about the distribution of victims by fleeing status. The number of victims who were fleeing by fleeing status is about 60%, while the number of victims who were not fleeing by fleeing status is about 20%. This means that the number of victims who were fleeing by fleeing status is higher than the number of victims who were not fleeing by fleeing status.

This visualization suggests that a majority of the victims of police shootings were fleeing at the time of the shooting. This could be due to a number of factors, such as fear of the police, an attempt to escape arrest, or a mental health crisis.

Analysis on Age Groups of the Victims

From the visualization we can say that the young adults are more likely to be involved in encounters with police than the people aged 40 and over but to a lesser extent than young adults. The young adults are perceived as threatening by police. Also we can say that the young adults are less likely to be able to de-escalate encounters with cops and addition to this these young adults have less resources to defend themselves against police than the aged people around 30 to 40+ adults which include financial resources or social support networks. Coming to people aged 40 and over are at risk of being killed by police. Some people in that age group may be involved criminal activities and few experiencing mental illness that make them vulnerable to police violence.

Police Officer Wearing Body Cam

The most of the shootings were made by the police is without the body cams. From the graph we can say 75-80% police were not wearing the body cams during the shootout and 25-20% cops were seen worn the bodycams during the shootout. So we can say that most of the shootings were happened based on the emergency situations and we can not say completely that no time for switching the body cams for proof of footage.

Analysis on Armed Victims

From the graph we can see that the majority of the victims were armed with the gun or the knife. We can say probably the most of the shootings happened based on the type of the armed weapon used by the victim.

Mode of death of the Victims

From the graphs we can see the most of the manner of the deaths were shots and the least cause of deaths  is  by shot and tasered.

Victims in each state

There are 51 states and I believe the shootings will be more based on the population of the state also .Here in the bar graph of victim count in each US state, the number of victims in each state is divided by the population of that state to create a per capita victim rate.

The top 5 states with most victims are CA, TX, FL, AZ, GA.

Majority of victims in each state are white, followed by black and Hispanic.

California has the most victims overall, with Texas and Florida close behind.

Arizona and Georgia have the next highest victim counts.

Mental Illness Victims

In the beginning when I looked into the data briefly assumed that the most of the victims would be mentally unstable but from the graph we can say that the most of the victims were mentally stable and only few percentage of the people were mentally unstable.

Today in the dataset I have observed fatal police shooting dataset contains 17 attributes and 8002 instances. I saw there were many inconsistencies and inaccuracies. There were many missing values in almost all the attributes. However, I have found few interesting attributes that can be looked furtherly, such as age, gender, city/state and mental illness. By analyzing the age attribute maybe we can determine whether a notable proportion of shootings that are associated to distinct age groups. Taking the gender attribute, we can determine notable proportion of shootings like whether men are more likely to be killed or not?. Then by analyzing the city or state whether shootings are associated with specific geographic locations like certain cities or states have higher rates of fatal shootings. Finally the mental illness attribute can determine whether crimes may be associated to individual mental illness.

I believe that age, gender and city/state are most promising attributes for further analysis.

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