A collection of blog posts about r
A hands-on walkthrough of exploratory data analysis using R's built-in Iris dataset — aggregate functions, median comparisons, and what the numbers actually tell us about species differentiation.
A practical guide to generating sequences, running simulations, and working with random numbers in R — covering seq(), sample(), runif(), and when each tool is the right one.
A hands-on walkthrough using real Chipotle order data — loading, aggregating, and visualizing purchase patterns with R and ggplot2.
Random sampling, reproducibility, subsetting, and counting outcomes — all through a simple coin flip simulation. The concepts here apply everywhere in data analysis.
Generate synthetic data, compute descriptive stats, filter by condition, and cap outliers using winsorization — the core data cleaning toolkit in base R.
Analytics engineer turning fragmented tidbits into confidence: messy data structured, patterns caught early, answers made plain with AI.
Copyright 2026 Christopher A. Rotunno. All Rights Reserved
