A reproducible research project turning raw data into clear insights.
This repository contains my undergraduate psychology research project analyzing the impact of tobacco use on blood pressure (BP) and heart rate (HR).
It demonstrates end-to-end data analysis in R — from cleaning and structuring raw data, to running statistical tests, to publishing results in a clear, reproducible format.
Originally completed as an academic study, I’ve rebuilt and documented it here to highlight my technical, analytical, and communication skills that transfer directly into IT support, automation, and data-driven roles.
- ✅ Reproducible workflow scripted in R Markdown
- ✅ Statistical rigor: ANOVA + post‑hoc testing
- ✅ Data visualization with publication‑quality plots (
ggplot2) - ✅ Clear communication for both technical and non‑technical audiences
- ✅ Version control with Git/GitHub for transparency
- R (≥ 4.0)
- R packages:
tidyverse,ggplot2,rmarkdown,DescTools
git clone https://github.com/TheOnliestMattastic/Psychology-Research-Impact-of-Tobacco-on-BP-and-HR.git
cd Psychology-Research-Impact-of-Tobacco-on-BP-and-HR# Install required packages
install.packages(c("tidyverse", "ggplot2", "rmarkdown", "DescTools"))
# Render the report
rmarkdown::render("analysis/analysis.Rmd")├── data/
│ └── dataset.csv # Raw dataset
├── analysis/
│ └── analysis.Rmd # Full R Markdown analysis
├── docs/
│ ├── analysis.html # Knitted HTML report
│ └── figures/ # Exported plots
├── Impact_of_Tobacco_Consumption_on_BP_and_HR.pdf # Full research paper
└── README.md
- Systolic BP: Heavy smokers > moderate smokers (significant)
- Diastolic BP: Near‑significant differences, suggesting dose effects
- Heart Rate: No overall group differences, but moderate‑smoking women > men
- Gender Effects: Female heavy smokers > female moderates in SBP
Example visualizations:
Mean systolic and diastolic BP by smoking intensity.
Average HR differences by sex.
- Built confidence in reproducible research workflows
- Strengthened data visualization and statistical testing skills
- Practiced clear documentation for both academic and technical audiences
- Reinforced habits of version control and transparency
This project analyzes the impact of tobacco on blood pressure and heart rate using R and reproducible workflows.
It demonstrates my ability to clean, analyze, and visualize data while documenting results clearly for technical and non‑technical audiences.
- R programming & statistical analysis
- Data visualization & reproducible reporting (R Markdown → HTML)
- Clear documentation for academic and professional review
This project is licensed under the MIT License.
This project shows I can:
- Translate raw data into actionable insights
- Build reproducible, documented workflows
- Communicate results to diverse audiences
- Apply rigorous documentation and GitHub practices
Curious about my projects? Want to collaborate or hire for entry-level IT/support/dev roles? Shoot me an email or connect on GitHub—I reply quickly and love new challenges.
“Shallow men believe in luck or in circumstance. Strong men believe in cause and effect.” — Ralph Waldo Emerson