Posts tagged with #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.