Overview
R programming language is my primary tool for statistical analysis, data visualization, and reproducible reporting. I use R to clean datasets, perform exploratory data analysis, run statistical tests, and communicate insights through visualizations and reports.
I frequently work in RStudio and RMarkdown to create reproducible workflows.
Skills demonstrated
- Data wrangling using dplyr
- Data visualization using ggplot2
- Exploratory data analysis
- Statistical testing
- Regression analysis
- Reproducible reporting with RMarkdown
Sample projects
Project: Health Data Analysis
Goal: Explore patterns in health-related datasets using statistical analysis.
Tools: R, ggplot2, dplyr
Key tasks:
- Data cleaning
- Exploratory analysis
- Visualization of trends
- Summary reporting
Outcome: Produced a reproducible RMarkdown report.
Project: Data Visualization Project
Goal: Create visualizations to communicate key dataset patterns.
Tools: R, ggplot2
Outcome: Built multiple publication-style visualizations.