This project is part of a medical data analysis course that I am developing with a colleague. It uses Quarto and R to introduce students to practical healthcare data analysis workflows. Using Kaggle’s Mental Health in Tech Survey dataset, the project demonstrates how to load, clean, explore, visualize, and model medical survey data. The analysis includes data preparation, exploratory data analysis, correlation analysis, visualizations with ggplot2, and a simple logistic regression model to predict mental health treatment-seeking behavior. This project is designed as a beginner-friendly learning module for students, healthcare researchers, and early-career data analysts interested in applying R to real-world health data.

Investigating the "Exponential Distribution" in R and comparing it with the "Central Limit Theorem".

Analysis of the "Tooth Growth" data in the R datasets package. Includes: Basic Exploratory Data Anlysses of the "Tooth Growth" data, A basic summary of the data using confidence intervals and/or hypothesis tests to compare tooth growth by supp and dose. Conclusions/Assumptions are also stated.