Publications by Kevin Tran
COVID-19 Analysis - Death Rate
Abstract This analysis deals with exploring death trends in the United States, specifically having Florida as the focal point. The exploration in Florida begins with analyzing positive cases/trends, visualizing the positive and negative cases, and inspecting the total number of deaths. On the basis of population comparisons, Florida will be compa...
11665 sym R (8644 sym/34 pcs) 9 img 4 tbl
Heart Disease UCI Analysis
Abstract This analysis deals with exploring disease status and understanding the relationship it has with a multitude of different variables and factors. Specifically, we aim for a better understanding of how sex (male and female), age, serum cholesterol levels, chest pain, blood pressure (bp), and maximum heart rate (hr) plays a part in the prev...
16685 sym R (9107 sym/24 pcs) 13 img
Employee Attrition EDA
Abstract This analysis deals with exploring different categorical and quantitative variables and their relationship to employee attrition. We will begin this analysis with a general overview to see how the data set is organized, calculate and visualize the correlation between the different variables and employee attrition, and generate a generali...
16891 sym R (13458 sym/27 pcs) 12 img
Breast Cancer UCI Analysis
Abstract This analysis deals with exploring different morphometric features of cell nuclei and their relationship to diagnosis. The key morphometric features that we are going to focus on are the radius, perimeter, area, smoothness, compactness, concavity, and the number of concave points. Within each section of the analysis, we will explore each...
12576 sym R (12796 sym/26 pcs) 10 img
Medical Appointment No Show Analysis
Abstract This analysis deals with exploring variables and their relationship to no show rates for medical appointments. The variables that we explored are gender, number of days an appointment is scheduled in advance, age, financial aid via scholarships, preconceived health conditions, and SMS Message reminders. The data in this analysis were col...
9400 sym R (11307 sym/17 pcs) 11 img
Pima Indians Diabetes Report
Abstract Diabetes is defined as a group of metabolic diseases that is categorized by chronic hyperglycemia. This can result from defects in insulin secretion, insulin action, or both. (Kharroubi and Darwish 2015) Throughout this analysis, we will analyze multiple variables and understand their prevalence in diabetes. We will first analyze each va...
11155 sym R (14073 sym/34 pcs) 11 img
AdhereR - Medication Adherence
Abstract This analysis deals with exploring medication adherence from the hypothetical data set included in the AdhereR package in RStudio. The exploration of medication adherence begins with ensuring that both medication A (medA) and medication B (medB) were required to be taken by each patient. Once confirmed, we will narrow our focus onto two ...
7652 sym R (10060 sym/20 pcs) 8 img