Best Clustering Methods Choosing the best clustering algorithm for a specific analysis depends on various factors such as the nature of the data, the desired outcomes, and the characteristics of the clusters sought. Here are three common clustering algorithms, each with its strengths and considerations: K-Means Clustering: Description: K-Means is a centroid-based algorithm that partitions Read More…
Clustering and Unsupervised learning
Clustering in Fatal Police Shooting Analysis: Clustering is a machine learning technique that involves grouping similar data points together based on certain features or characteristics. In the context of fatal-police-shooting analysis, clustering can be applied to identify patterns or segments within the dataset, revealing inherent structures in the data. This approach is valuable for uncovering Read More…
Analyzing Boston Employee Earnings Reports (2018-2022)
Let’s explore the dataset. We will explore the employee earnings reports for the City of Boston for the years 2018 to 2022. The datasets contain valuable information about the earnings of city employees, and we will analyze and visualize key aspects. Loading the data for each year, paying close attention to encoding issues to ensure Read More…
Choosing best logistic regression methods
The choice of the best logistic regression method for fatal-police-shooting analysis depends on several factors, including the nature of the data, the distribution of the outcome variable, and the goals of the analysis. Here are two common logistic regression methods: Binary Logistic Regression: Use Case: Appropriate when the dependent variable is binary (e.g., armed/unarmed, manner Read More…
Logistic Regression
Logistic regression is a statistical method used for predicting the probability of a binary outcome based on one or more predictor variables. In the context of the provided dataset on fatal police shootings, logistic regression could be employed to model the likelihood of a specific outcome, such as the presence of certain characteristics or circumstances Read More…
t-test and p-value
The t-test is a statistical method used to assess whether the means of two groups are significantly different from each other. It provides a t-statistic, which is a measure of how far apart the means of the two groups are relative to the variability within each group. The larger the t-statistic, the more likely it Read More…
Flee Statistics and Relationships.
Digging Deeper into Categories: Frequency Distribution: ‘Not fleeing’: 4430 instances ‘Car’: 1289 instances ‘Foot’: 1022 instances ‘Other’: 295 instances What the Numbers Tell Us: Not Fleeing Dominates: The fact that ‘Not fleeing’ comprises the majority (4430 instances) indicates that, in a significant portion of our data, individuals involved were not attempting to escape. Read More…
Mental illness sign , Gender and Age Statisticcs
Mental Illness as a Signifier of Fatal Police Shootings People with mental illness are 16 times more likely to be killed by police than people without mental illness. This disparity is even more pronounced for people of color, who are twice as likely to be killed by police as white people, even when controlling for Read More…
Gender Statistics of Victims and Age Statistics of victims
Gender Statistics According to the data you provided, men are disproportionately represented among victims of fatal police shootings. In 2021, 7,147 men and 341 women were shot and killed by police. This means that men make up 95.4% of all victims of fatal police shootings There are a number of possible explanations for this gender Read More…
Geographical Distribution of Fatal Police Shootings
To examine the geographical distribution of fatal police shootings, we can use latitude and longitude data to map fatal police shootings and identify any spatial patterns or hotspots. The following map shows the geographical distribution of fatal police shootings The geographical distribution of fatal police shootings shows that this is a problem that disproportionately affects Read More…