Exploring Categorical Data in GAUSS 25
Categorical data plays a key role in data analysis, offering a structured way to capture qualitative relationships. Before running any models, simply examining the distribution of categorical data can provide valuable insights into underlying patterns.
In GAUSS 25, these functions received significant enhancements, making them more powerful and user-friendly. In this post, we’ll explore these improvements and demonstrate their practical applications.
Whether summarizing survey responses or exploring demographic trends, fundamental statistical tools, such as frequency counts and tabulations, help reveal these patterns.