The CausalVAE model helps to understand complex data by finding causal relationships between different factors. It transforms independent factors into related concepts that influence each other. The model can accurately identify these causal relationships and generate new data based on them. The experiments showed that CausalVAE can create meaningful and interpretable representations of data, making it easier to analyze and manipulate information.