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Month: October 2023

Understanding Police Shooting Incidents: Statistical and Clustering Analysis

In an effort to better understand the dynamics of police shootings, we conducted a comprehensive statistical and clustering analysis. Here’s what we found: Kolmogorov-Smirnov Test on Age Distribution The Kolmogorov-Smirnov test was performed to assess whether the age distribution of individuals involved in police shooting incidents follows a normal distribution.…

In-Depth Cluster Analysis on Police Shootings: Unpacking Data from 10 Random States

Our ongoing analysis of police shootings in the United States takes a nuanced turn as we delve into cluster sampling, focusing on 10 randomly selected states. This method allows us to examine state-specific trends and variables, thereby offering unique insights into these critical incidents. Methodology: Using cluster sampling, we selected…

Today’s Analysis on Police Shootings: A Monte Carlo Estimation of Average Age

In our ongoing exploration of police shootings in the U.S., today’s focus is on utilizing Monte Carlo simulations to better understand the average age of individuals involved in these fatal incidents. This statistical technique offers a robust method for understanding the distribution and variability of outcomes based on existing data.…

Analyzing Fatal Police Shootings in the United States

Quick Stats Total Shootings: 8,770 Time Span: 2015-2023 States: 51 Cities: 3,374 Police Departments: 3,417 Yearly Trends: The graph below shows the number of fatal shootings has remained relatively stable from 2015 to 2023. Who’s Affected: Most individuals are males between 20-40 years old. Whites are the most represented racial…

Unlocking Public Health: An Analysis of CDC Data on Diabetes, Obesity, and Inactivity in US Counties (2018).

I’m excited to share my latest project that dives deep into the public health metrics across U.S. counties. My study focuses on three key health indicators: Diabetes, Obesity, and Inactivity. The report aims to uncover the hidden patterns, relationships, and insights that can inform public health policies and interventions. The…

Understanding Public Health through Decision Tree Classifier

Introduction In the United States, public health has been a topic of concern, especially in the areas of Diabetes, Obesity, and Physical Inactivity. Understanding the risk factors at a granular level, such as the county level, can help policymakers take more effective action. This post explores a Decision Tree Classifier…