: By default, R orders levels alphabetically. For ordinal data (e.g., "Low", "Medium", "High"), you can define a specific order using the levels argument in factor() or functions in the forcats package . Descriptive Statistics
: Provides advanced tools for visualizing categorical data, including mosaic and association plots. confreq : Designed for Configural Frequency Analysis (CFA). Analysis of categorical data with R
Visual tools help identify patterns and relationships between categories. : By default, R orders levels alphabetically
: Use chisq.test() to determine if there is a significant association between two categorical variables. : By default
: Functions like factor() or as.factor() convert character vectors into categorical variables.