#This project presents an R-based data analysis exploring the association between heart disease and various clinical, demographic, and lifestyle-related factors. The goal is to demonstrate how reproducible research can be implemented using R Markdown while incorporating data management, visualization, and reporting.
- Title: The Association Between Heart Disease and Clinical, Demographic, and Lifestyle Factors
- Author: David Moshi
- Tools: R, R Markdown, multiple data science libraries
- Output Formats: PDF and HTML reports
- Open the R Markdown (
.Rmd) file in RStudio - Run all chunks or knit the file to produce PDF or HTML output
NB: Incase your it fails, remember to update your R to containg the packages for the libraries used below
- Data wrangling:
dplyr,tidyverse,magrittr - Visualization:
ggplot2,corrplot,GGally,waffle - Modeling & reporting:
broom,car,vcd,knitr,mice
Feel free to fork and adapt this for your public health or epidemiology projects!