Public Health Data Exploration: Insights into Alzheimer's, Kidney Disease, and Foodborne Illnesses

These projects centered on analyzing datasets pertinent to key public health and epidemiological issues, such as Alzheimer's disease, chronic kidney disease, and foodborne illnesses. Using Excel, R, and Tableau, I conducted thorough analyses to extract meaningful insights. My findings were presented in comprehensive reports, enriched with clear and informative visualizations. Through this work, I not only deepened my understanding of important health subjects but also refined my ability to present complex data in a straightforward and comprehensible manner.

Alzheimer’s Disease Analysis

This project delves deep into understanding Alzheimer's disease.
Key statistical tests like the Chi-Square and ANOVA are employed to discern relationships within the data.
Data visualizations offer visual insights into death rates by various demographics.

Chronic Kidney Disease Investigation

Focusing on gender disparities in the prevalence of Chronic Kidney Disease (CKD) across U.S. states, this study provides a comprehensive overview of CKD, detailing its causes and symptoms.

Foodborne Illness Analysis - Focused on Norovirus

This project offers an in-depth examination of foodborne illnesses, centering primarily on Norovirus. The journey begins with a literature review, setting the contextual groundwork, followed by the articulation of distinct research objectives and queries. The methodology segment explains the analytical techniques employed. Data visualizations highlight the trends of foodborne illnesses in New York over ten years, while advanced statistical methods, such as ANOVA, assess the data in various contexts.