About this blog
This is a personal lab notebook for statistics and data science: short write-ups, experiments, and explanations that are meant to be practical and reproducible.
What you’ll usually find here:
- Applied statistics topics (e.g., resampling, regression, inference)
- Data analysis workflows in R (and occasionally other tools)
- Visualizations and small case studies with real datasets
Most posts aim to balance intuition (“what does this mean?”) with code (“how do I do it?”). If you’re reading along and something is unclear, feel free to reach out via the links above.