Reproducible Research Using R An Open Educational Resource

Identify situations in which categorical analysis is appropriate and numerical methods are not

Load and inspect categorical data to confirm variable types and structure

Create and interpret contingency tables using base R and tidyverse tools

Calculate and interpret row- and column-based percentages for categorical data

Visualize relationships between categorical variables using stacked and grouped bar charts

Conduct and interpret a chi-square test of independence using chisq.test()

Explain the role of expected counts, degrees of freedom, and p-values in chi-square testing

Use residuals and standardized residuals to identify cells that contribute most to a chi-square result

Quantify the strength of association between categorical variables using Cramer’s V